Showing posts sorted by date for query genomic prediction. Sort by relevance Show all posts
Showing posts sorted by date for query genomic prediction. Sort by relevance Show all posts

Thursday, March 07, 2024

Elizabeth Carr (first US IVF baby) and Genomic Prediction in WSJ



Elizabeth Carr (first US IVF baby) and Genomic Prediction in the Wall Street Journal.
Elizabeth Carr has always been a living symbol of fertility technology’s possibilities. Now she is the face of its challenges. 
Carr, 42 years old, is the first baby born by in vitro fertilization in the U.S. Over the years she has told countless audiences how the technology made it possible for her mother to have a baby. 
In the weeks since Alabama’s Supreme Court ruled that frozen embryos should be considered children, Carr has called for protections around IVF procedures—extracting eggs, fertilizing them in a lab and transferring an embryo into a uterus—that now account for some 2% of U.S. births annually. 
Sen. Tim Kaine (D., Va.) said federal legislation backing IVF access would “enable the Elizabeth Carrs of the world to continue to be born.” Kaine invited Carr to accompany him on Thursday to President Biden’s State of the Union address. 
“My life gives people hope,” Carr said. 
The Alabama ruling is galvanizing Carr’s work in another way. Carr leads public relations and patient advocacy at Genomic Prediction, which sells genetic tests to screen embryos. Doctors can order tests for patients who want to screen for diseases and abnormalities or get an overall embryo health score. Patients and doctors can use the results to decide which embryos to transfer. Unused embryos can be stored for years. Some get discarded. ...

A conversation with Elizabeth

Monday, February 05, 2024

Superhumans and the Race for AI Supremacy - Hidden Forces podcast Episode 351

 

I've been listening to Hidden Forces with Demetri Kofinas for years now. He's an excellent interviewer with interests in finance, geopolitics, technology and more.

Audio-only version.
 
In Episode 351 of Hidden Forces, Demetri Kofinas speaks with Stephen Hsu, a Professor of Theoretical Physics and Computational Mathematics, Science, and Engineering at Michigan State University. Stephen is also the co-founder of multiple companies, including Genomic Prediction, which provides preimplantation genetic screening services for human embryos, and SuperFocus.ai, which builds large language models for narrow enterprise use cases. 
This is a conversation about some of the most important advancements and trends in genomic science and artificial intelligence, including the social and ethical dilemmas arising from implementing these technologies at scale. Stephen and I discuss the competitive landscapes in both industries, how America’s geostrategic competition with China is driving tradeoffs between innovation and safety, the risks and opportunities that these revolutionary technologies pose, and how the world’s largest companies, economies, and military powers can work together to reap the benefits of this revolution while averting some of their most disastrous potential consequences.

Wednesday, August 30, 2023

The World of Yesterday: Steve Hsu on polygenic scores, gene editing, human flourishing

 

I really enjoyed this long conversation with Dan Schulz, an MSU engineering grad who works in tech. Dan did his homework and we covered a lot of important topics.

Transcript: https://www.danschulz.co/p/3-steve-hsu 
Apple: https://apple.co/44eTSrJ 
Spotify: https://spoti.fi/3P03SzN 

Timestamps
 
(0:00:00) - Intro 
(0:00:33) -  Genomic Prediction 
(0:05:54) - IVF 
(0:12:34) - Phenotypic data 
(0:15:42) - Predicting height 
(0:28:27) - Pleiotropy 
(0:39:14) - Optimism 
(0:45:03) - Gene editing 
(0:48:27) - Super intelligent humans 
(1:01:27) - Regulation 
(1:06:36) - Human values 
(1:17:38) - Should you do IVF? 
(1:26:06) - 23andMe 
(1:29:03) - Jeff Bezos 
(1:34:29) - Richard Feynman 
(1:43:43) - Where are the superstar physicists? 
(1:45:37) - Is physics a good field to get into?

Thursday, April 06, 2023

Birth of the God Emperor - by GPT4


This science fiction story was written by GPT4. 
Steve Hsu had always dreamed of unlocking the secrets of human intelligence. As a theoretical physicist and a co-founder of Genomic Prediction, he had developed a powerful AI system that could analyze massive genomic data sets and predict complex traits such as height, disease risk, and cognitive ability. He believed that by using this technology, he could help people select the best embryos for IVF and create healthier and smarter children. 

But not everyone shared his vision. Some critics accused him of promoting eugenics and creating new social inequalities. Others feared that his AI system could be hacked or misused by malicious actors. And some religious groups denounced him as playing God and interfering with the natural order. 

One day, he received a mysterious email from an anonymous sender. It read: 

"Dear Dr. Hsu, 

We are a group of like-minded individuals who share your passion for advancing human potential. We have access to a secret facility where we have been conducting experiments on human embryos using your AI system and other cutting-edge technologies. We have achieved remarkable results that surpass your wildest expectations. We invite you to join us and witness the dawn of a new era for humanity. 

If you are interested, please reply to this email with the word 'YES'. We will send you further instructions on how to reach us. 

Sincerely, 
The Future" 

Steve was intrigued and curious. He wondered who these people were and what they had done. He also felt a pang of fear and doubt. Was this a trap? A hoax? A threat? 

He decided to take the risk and reply with 'YES'. 

He received another email with a set of coordinates and a time. He was told to drive to a remote location in the desert and wait for a helicopter to pick him up. He followed the instructions and soon found himself in a black helicopter flying over the barren landscape. 

He arrived at a large metal dome hidden among the rocks. He was greeted by a man in a white lab coat who introduced himself as Dr. Lee. 

"Welcome, Dr. Hsu. We are honored to have you here. Please follow me." 

Dr. Lee led him through a series of security checkpoints and into a spacious laboratory filled with high-tech equipment and monitors. He saw rows of incubators containing human embryos at various stages of development. 

"Dr. Hsu, these are our creations. The next generation of humans. We have used your AI system to optimize their genomes for intelligence, health, beauty, and longevity. We have also enhanced them with synthetic genes from other species, such as birds, reptiles, mammals, and plants. We have given them abilities that no natural human has ever possessed." 

He stopped at one incubator that caught his attention. It contained an embryo that looked almost normal, except for one thing: it had a golden glow around it. 

"Dr. Hsu, this is our masterpiece. The ultimate expression of intelligence. The God Emperor. The Kwisatz Haderach. The one who can see the past and the future. The one who can bend space and time. The one who can unite and rule all of humanity." 

Steve felt a surge of awe and dread. He realized that he had made a terrible mistake. 

"What have you done? This is dangerous! This is blasphemous! This is insane!" 

He turned to Dr. Lee and saw him smiling. 

"Dr. Hsu, don't be afraid. Don't be angry. Don't be judgmental. Be proud. Be grateful. Be enlightened. You are witnessing the dawn of a new era for humanity. You are witnessing the future."

 

Friday, December 23, 2022

Peace on Earth, Good Will to Men 2022



When asked what I want for Christmas, I reply: Peace On Earth, Good Will To Men :-)

No one ever seems to recognize that this comes from the Bible (Luke 2.14).

Linus said it best in A Charlie Brown Christmas:
And there were in the same country shepherds abiding in the field, keeping watch over their flock by night.

And, lo, the angel of the Lord came upon them, and the glory of the Lord shone round about them: and they were sore afraid.

And the angel said unto them, Fear not: for, behold, I bring you good tidings of great joy, which shall be to all people.

For unto you is born this day in the city of David a Saviour, which is Christ the Lord.

And this shall be a sign unto you; Ye shall find the babe wrapped in swaddling clothes, lying in a manger.

And suddenly there was with the angel a multitude of the heavenly host praising God, and saying,

Glory to God in the highest, and on earth peace, good will toward men.

Merry Christmas!

Please accept my best wishes and hopes for a wonderful 2023. Be of good cheer, for we shall prevail! :-) 


The first baby conceived from an embryo screened with Genomic Prediction preimplantation genetic testing for polygenic risk scores (PGT-P) was born in mid-2020. 

First Baby Born from a Polygenically Screened Embryo (video panel)




Embryo Screening for Polygenic Disease Risk: Recent Advances and Ethical Considerations (Genes 2021 Special Issue)
It is a great honor to co-author a paper with Simon Fishel, a member of the team that produced the first IVF baby (Louise Brown) in 1978. His mentors and collaborators were Robert Edwards (Nobel Prize 2010) and Patrick Steptoe (passed before 2010). ... 
Today millions of babies are produced through IVF. In most developed countries roughly 3-5 percent of all births are through IVF, and in Denmark the fraction is about 10 percent! But when the technology was first introduced with the birth of Louise Brown in 1978, the pioneering scientists had to overcome significant resistance. 
There may be an alternate universe in which IVF was not allowed to develop, and those millions of children were never born. 
Wikipedia: ...During these controversial early years of IVF, Fishel and his colleagues received extensive opposition from critics both outside of and within the medical and scientific communities, including a civil writ for murder.[16] Fishel has since stated that "the whole establishment was outraged" by their early work and that people thought that he was "potentially a mad scientist".[17] 
I predict that within 5 years the use of polygenic risk scores will become common in health systems (i.e., for adults) and in IVF. Reasonable people will wonder why the technology was ever controversial at all, just as in the case of IVF.


GP highlights from 2022:

Genomic Prediction has performed embryo genetic tests for  ~200 IVF clinics on six continents: nearly ~30k embryos have been screened.

Genomic Prediction in Bloomberg 




Preimplantation Genetic Testing for Aneuploidy: New Methods and Higher Pregnancy Rates


Seven years ago on Christmas day I shared the Nativity 2050 story below. 


And the angel said unto them, Fear not: for, behold, I bring you good tidings of great joy, which shall be to all people.
Mary was born in the twenties, when the tests were new and still primitive. Her mother had frozen a dozen eggs, from which came Mary and her sister Elizabeth. Mary had her father's long frame, brown eyes, and friendly demeanor. She was clever, but Elizabeth was the really brainy one. Both were healthy and strong and free from inherited disease. All this her parents knew from the tests -- performed on DNA taken from a few cells of each embryo. The reports came via email, from GP Inc., by way of the fertility doctor. Dad used to joke that Mary and Elizabeth were the pick of the litter, but never mentioned what happened to the other fertilized eggs.

Now Mary and Joe were ready for their first child. The choices were dizzying. Fortunately, Elizabeth had been through the same process just the year before, and referred them to her genetic engineer, a friend from Harvard. Joe was a bit reluctant about bleeding edge edits, but Mary had a feeling the GP engineer was right -- their son had the potential to be truly special, with just the right tweaks ...



Bonus: My Christmas present to you! (For Jazz fans!)


 

Photo from Before Sunrise

instrumental 
00:00 Miles Davis Quintet - When I Fall In Love 
04:23 Red Garland - When I Fall In Love 
09:30 Bill Evans Trio - When I Fall In Love 
14:25 Kenichi Fujiwara - When I Fall In Love 
22:06 Blue Mitchell - When I Fall In Love 
27:46 George Coleman - When I Fall In Love 
38:42 Ben Webster - When I Fall In Love 
43:39 Johnny Smith Trio - When I Fall In Love 
46:27 Oscar Peterson Trio - When I Fall In Love 
51:34 Brad Mehldau & Rossy Trio - When I Fall In Love (Live) 

🎙 vocal (female) 
01:06:13 Carmen McRae - When I Fall In Love [vocal] 
01:10:02 Etta Jones - When I Fall In Love [vocal] 
01:12:56 Marilyn Monroe - When I Fall In Love [vocal] 
01:15:55 Linda Ronstadt - When I Fall In Love [vocal] 
01:18:17 Barbar Gough - When I Fall In Love [vocal] 
01:21:18 Julie London - When I Fall In Love [vocal] 
01:24:40 Trijntje Oosterhuis - When I Fall In Love [vocal] 

 🎙 vocal (male) 
01:29:27 Chet Baker - When I Fall In Love [vocal] 
01:33:01 Nat King Cole - When I Fall In Love [vocal] 
01:36:12 Tony Bennett - When I Fall In Love [vocal] 
01:38:30 Michael Buble - When I Fall In Love [vocal] 
01:41:26 José James - When I Fall In Love [vocal] (piano. Jef Neve) 
01:46:40 Donny Osmond - When I Fall In Love [vocal] 

 🎙 vocal (duet) 
01:49:55 Celine Dion & Clive Griffin - When I Fall In Love [vocal] 
01:54:16 Natalie Cole & Nat King Cole - When I Fall In Love [vocal]

Saturday, October 15, 2022

Times of Israel on Polygenic Embryo Screening


This is a very nice article on polygenic embryo screening and its prospects in Israel. Worth reading in full. Leading statistical geneticist Shai Carmi is interviewed. See also his interview on Manifold (embedded player at bottom of this post).
The Times of Israel 
14 October 2022, 1:27 pm 
Designer babies? Hi-tech preimplantation genetic testing may soon come to Israel 

For generations, the Yu family of Shanghai has suffered from type 2 diabetes. But this summer, as reported in the China Daily, the family welcomed a baby with a better chance of avoiding this disease.

These rosier prospects are the result of a recent breakthrough in assisted reproduction that was advanced with the help of Israeli scientists, called preimplantation genetic testing for polygenic diseases (PGT-P). In addition to China, PGT-P is also gaining ground among couples in the United States who wish to improve health outcomes for their future children. But in Israel, it is illegal.

PGT-P is carried out on an embryo during in vitro fertilization (IVF), prior to its transfer from the Petri dish to the womb. Viable embryos with the probable lowest disease risk can then be selected for implantation.

Since this innovative testing takes into account a complex combination of factors that are not broached in more traditional testing, in some ways it’s almost like an educated guess. Accordingly, polygenic screening is not a diagnosis: It is a prediction of relative future risk compared to other people.

Israeli academics have published peer-reviewed research advancing the science behind polygenic screening, including Shai Carmi, Ehud Karavani, Or Zuk, Gil Atzmon, and Einat Granot-Hershkovitz.

But Start-Up Nation is not yet implementing this cutting-edge tech in the field of fertility. Although fertility treatments are subsidized by the Israeli government, it is still unclear whether Israeli couples ever will have access to the procedure, which screens for polygenic diseases such as diabetes, heart disease and cancer — or whether they would even want it.

PGT-P is different from prior technology in important ways, creating new opportunities and challenges for parents while raising profound ethical dilemmas for society. Similar to older forms of testing, PGT-P relies on analyzing genetic material from embryos created through IVF before implantation and checking them for certain diseases and conditions. The information then helps the parents and doctors decide which embryos to implant.

However, the biggest difference between PGT-P screening and earlier forms of genetic testing is that the prior tests checked for genetically simple conditions such as Down syndrome, cystic fibrosis, or Tay Sachs disease. These diseases, which are serious or fatal, have extremely high “penetrance,” which means that if the gene mutation is seen in the embryo’s DNA, it is nearly certain that the child will have that condition. The appearance of the disease-linked gene is the basis of a clear diagnosis.

This “simple” genetic screening has already borne fruit in the Jewish community: Decades ago, babies in the Ashkenazi Jewish community were nearly 100 times more likely to be born with Tay Sachs than babies in the general US population. Today, because of genetic screenings, the disease is “virtually wiped out.”

In contrast, PGT-P screening can’t tell you with assurance if an embryo will develop a genetic disease such as cancer or Crohn’s disease. That’s because this new screening checks for polygenic diseases – complex conditions caused by the combined impact of possibly thousands of different genes, as well as lifestyle and other environmental factors.

Instead of a clear diagnosis, prospective parents receive a “polygenic risk score,” basically the probability of a child developing a certain disease or condition.

Noa and her husband went through 10 IVF cycles to build their family. “We now have two wonderful boys,” she says.

If I had an opportunity to reduce disease risk in my kids, I would do it

She knows what she would have said if doctors had offered her polygenic screening: “I want that technology.” As a speech therapist who works with kids facing a lot of health challenges, she was very worried about what her own kids would face.

“If I had an opportunity to reduce disease risk in my kids, I would do it. It would definitely help my peace of mind as a mother. Everyone here in Israel should have the option of using it,” Noa says.

No clear-cut answers

Scientists at the US-based Genomic Prediction, Inc. published an article in 2019 describing the “first clinical application” of polygenic screening of embryos. Genomic Prediction is a polygenic screening company based in New Jersey that partners with various IVF clinics around the world.

However, to date, the Israeli Health Ministry has yet to even issue a statement on the use of polygenic screening on embryos.

For some, the fact that PGT-P screening isn’t available, or even legal, in Israel is somewhat counterintuitive, given Israel’s prominence in the fields of both assisted reproduction and genetic testing.

Israelis undergo more rounds of IVF per capita than any other nation in the world. This is largely due to religious and cultural norms that are highly supportive of child-bearing, combined with the nationally financed healthcare system that provides full coverage for as many IVF cycles as needed, up to two children per family.

In addition, “in Israel there is a lot more openness to preimplantation genetic testing in general because of the high prevalence of various disease mutations in our community,” says Carmi, an associate professor at the Hebrew University School of Public Health and Faculty of Medicine.

Today, Carmi is a leading researcher on the accuracy of polygenic screening. As part of his post-doctoral project at Columbia University in New York, he helped generate important genetic sequencing data for Ashkenazi Jews.

Israel’s embrace of most genetic testing is reflected in the Israeli Health Ministry’s website, which lists dozens of recommended genetic screenings, broken down by ethnic sub-community. But these screenings are for monogenic disorders, easily diagnosed by looking for a single gene mutation.

“In Israel, the Health Ministry controls which diseases can be screened for, and candidate variants need to have high penetrance and lead to diseases with severe symptoms,” says Carmi.

Playing the odds

Miri is a consultant originally from central Israel. Although she did not have any known fertility problems, she chose to undergo IVF specifically because it would allow her to screen for a certain hereditary disease. She and her husband are both carriers of a rare mutation, so a natural conception meant a 25 percent chance of the fetus suffering from this generally fatal condition.

“For me, it was a choice between the extra physical hardship of IVF, or the extra emotional hardship of a pregnancy where, for months, we would not know if the baby would have this disease,” Miri said.

In contrast, PGT-P can’t provide conclusive information, because in the context of polygenic diseases like diabetes and heart disease “nothing is deterministic,” says Carmi.

According to Carmi, a child may develop the condition or may not, and non-genetic factors can certainly affect the outcome. Based on his peer-reviewed research on statistical modeling of polygenic screening, though, Carmi notes that “you can get quite a substantial risk reduction.”

The “relative risk reduction” projected to be accomplished by PGT-P varies depending on the disease. However, according to a 2021 research paper by Carmi and his collaborators, for schizophrenia and Crohn’s disease, around a 45% relative risk reduction is achievable for parents testing five embryos and choosing the best scoring, compared to implanting a randomly chosen one of the five.

The testing, of course, comes with a fee: Costs vary, but Genomic Prediction in New Jersey charges a $1,000 up-front fee, plus $400 per embryo analyzed. Of course, this is an add-on cost for people already doing IVF, which in the US can cost up to tens of thousands of dollars per cycle.

Pricing can get even more complicated, however, because different services end up bundled together, or are offered as add-ons once related costs are already accounted for. But one of the earlier forms of embryonic screening (PGT-A, which checks for aneuploidies, giving rise to Down syndrome for example) can cost several thousand dollars.

By contrast, carrier screening, which is a blood test performed on the parents to check for “simple” monogenic-disease carrier status, costs only several hundred dollars, and is often also covered by insurance.

In Israel, for couples whose family history or carrier-screening blood tests reveal a heightened risk for having children with a specific monogenic disease, the Health Ministry promotes the benefits of traditional genetic testing of embryos prior to implantation in the womb.

According to its website, “Pre-implantation Genetic Diagnosis (PGD) is today considered to be one of the practical options for couples who are at high risk for giving birth to a baby with a chromosomal abnormality or a genetic disease. This is because the process allows pregnancies to be achieved with healthy fetuses, and avoids the need for pregnancy termination, a procedure that constitutes a problem for many couples for religious, ethical and/or moral reasons.”

The nuts and bolts

PGT-P was developed using artificial intelligence technology applied to huge databases containing the genetic and health information of hundreds of thousands of people. Statistical data analysis of DNA and health outcomes allows scientists to see which complex genetic patterns more frequently show up in individuals who also develop a certain disease, such as schizophrenia. By genetically analyzing an embryo and then comparing its genetic information to this population data, the embryo’s polygenic risk score can be calculated for a given disease. This can already be done for a great many common diseases, with varying levels of predictive power, and as genetic databases grow, the reliability of these risk scores will continue to improve.

The couple also receives the raw data about their embryos’ genes and risk scores, so if they prefer to implant the embryo with the lowest risk of type 2 diabetes rather than the lowest combined disease risk, they can do that

“For prospective parents undergoing IVF and electing to use polygenic screening, somewhere between 10 and 20 polygenic risk scores are combined in a weighted average, with more serious diseases given greater weight in the final figure. This averaging provides a single number for each embryo — a health index — that can be used to rank the available embryos, so that the one with the best health index can be implanted,” says Carmi.

“Of course, the couple also receives the raw data about their embryos’ genes and risk scores, so if they prefer to implant the embryo with, let’s say, the lowest risk of type 2 diabetes, rather than the lowest combined disease risk, they can do that,” says Carmi.

An emotional decision

Michal Amrani, 32, lives in the central Israeli town of Ramat Hasharon and is working toward a master’s degree in chemistry from the Weizmann Institute. Through a four-year IVF process, she and her husband Sarel welcomed a son, and later, a set of twins. They say they are unlikely to use polygenic screening, even if it becomes available in Israel.

“As it is, we opted not to do some of the genetic testing that was already available to us,” Amrani says. “I work in science, so I am more open to these things, but my husband doesn’t really like all these genetic tests. For him, there’s risk in lots of things, and his optimistic nature helps him be comfortable that things will work out.”

Others, like Noa, are more interested in trying out preimplantation polygenic screening of their embryos, but even if Israel would change its rules to allow it, it’s a tricky issue. First, there are concerns about the psychological difficulties that this technology may pose for prospective parents.

Rona Langer Ziv is a social worker and cognitive behavioral psychotherapist who counsels IVF patients — both couples and singles — at a large Israeli hospital, as well as through her private clinical practice.

“Due to the potential implications of this new technology,” she says, “I would be concerned about a higher risk for depression and anxiety among the IVF patients.”

“Even if they feel they understand what they are signing up for at the beginning of the journey, they may not appreciate the emotional, ethical, and psychosocial implications of polygenic screening several IVF cycles down the road,” says Langer Ziv. “They may find themselves worrying that the embryos’ scores are not good enough, or that they won’t have any viable embryos left to choose from.”

Even if they feel they understand what they are signing up for at the beginning of the journey, they may not appreciate the emotional, ethical, and psychosocial implications of polygenic screening several IVF cycles down the road

Because polygenic screening predicts relative risk rather than providing an affirmative disease diagnosis, “women, especially those over 40 who may have very few embryos to work with, end up facing a serious dilemma — they may be discarding an embryo that could have resulted in a healthy child,” says Langer Ziv.

Amrani is in a similar situation. She and her husband are ready for more kids, but right now they have just one embryo available, so that’s the embryo they will try to implant. Even though she won’t be using polygenic screening, Amrani says that “it does sound very innovative. It’s nice that there’s something like this.”

Social worker and cognitive behavioral psychotherapist Rona Langer Ziv. (Courtesy) Indeed, Langer Ziv acknowledges that some people would find polygenic screening appealing, particularly those with higher education levels.

“There’s definitely coolness in the technology. It’s scientifically advanced, and it could offer interesting health insights about your future children. Everyone would theoretically like to use a technology that potentially predicts a more healthy child, although there is disagreement among fertility specialists about the benefits involved,” Langer Ziv says.

“And for some IVF patients, it might also provide a feeling of control during a process that involves so much stress, uncertainty, luck, and randomness,” she says.

Risk of eugenics

Regardless of how polygenic screening would be received by potential consumers, there are grave concerns about the impacts of this new technology on society. Various ethical issues have been raised for decades about older forms of genetic screenings, including fears of stigmatizing those living with genetic diseases, and questions about equitable access to these technological advances.

Perhaps the most significant ethical concern, and one that looms larger with polygenic screening than with older tests for monogenic diseases, is the potential for eugenics. This is the infamous and dangerous philosophy, practiced in Nazi Germany and elsewhere, that society should try to promote the creation of the most genetically “superior” babies.

Miri and her husband now have a baby boy and are looking forward to having more children — they still have three embryos to choose from. Asked whether she would be interested in polygenic screening if it became available in Israel, Miri says she’s unsure.

“I would love to see less suffering in the world from diseases. But where do we draw the line?” she says.

Indeed, the potential for eugenics is most stark when screenings cross over from the realm of disease prevention to the world of intelligence and aesthetic traits such as height or eye color. As such, some laboratories preemptively claim they will only screen for health concerns: An American polygenic screening company currently states that it does not test for “high IQ,” nor for “purely cosmetic traits such as hair color and eye color.”

But complicating the “noble” stance, genetic researchers have shown that “IQ is negatively correlated with most psychiatric disorders [and] positively correlated with autism and anorexia,” meaning that a high IQ comes with a lower risk of most psychiatric diseases and a higher risk of certain other neurological and mental health conditions.

As such, while some companies may currently refuse to offer IQ screening, it is not hard to imagine a health-based argument for loosening such protocols in the future, particularly as society becomes more used to the practice of PGT-P.

Similarly, a large study was published this year by researchers at Brown University and Peking University that found that “light eye colors were associated with high risks” of certain forms of skin cancer. Again, one can picture checks for eye color making their way into future genetic screenings through a backdoor of disease relevance.

In Carmi’s view, the responsible way for Israel to approach the prospect of polygenic screening is a gradual one.

“Ideally, we would start by recruiting Israeli participants for local academic research, with oversight by the Health Ministry,” Carmi says. “Once we develop more insight into how predictive polygenic screening is in our population, the relevant stakeholders — including patients, professional organizations, and regulators — can balance competing interests and local values, and come up with tailored guidance on its use in Israel.”

For some Israeli citizens, of particular concern is the idea of the wealthy trying to create perfect babies.

“If polygenic screening came to Israel, I would want to see a lot of regulation about who gets to use it, how it is used, and what reasons it is used for,” Miri says.

See also

WIRED: Genetic Screening Now Lets Parents Pick the Healthiest Embryos 

Genomic Prediction in Bloomberg


Tuesday, September 20, 2022

Sibling Variation in Phenotype and Genotype: Polygenic Trait Distributions and DNA Recombination Mapping with UK Biobank and IVF Family Data (medRxiv)

This is a new paper which uses Genomic Prediction IVF family data, including genotyped embryo samples.
Sibling Variation in Phenotype and Genotype: Polygenic Trait Distributions and DNA Recombination Mapping with UK Biobank and IVF Family Data
L. Lello, M. Hsu, E. Widen, and T. Raben  
We use UK Biobank and a unique IVF family dataset (including genotyped embryos) to investigate sibling variation in both phenotype and genotype. We compare phenotype (disease status, height, blood biomarkers) and genotype (polygenic scores, polygenic health index) distributions among siblings to those in the general population. As expected, the between-siblings standard deviation in polygenic scores is \sqrt{2} times smaller than in the general population, but variation is still significant. As previously demonstrated, this allows for substantial benefit from polygenic screening in IVF. Differences in sibling genotypes result from distinct recombination patterns in sexual reproduction. We develop a novel sibling-pair method for detection of recombination breaks via statistical discontinuities. The new method is used to construct a dataset of 1.44 million recombination events which may be useful in further study of meiosis.

Here are some figures illustrating the variation of polygenic scores among siblings from the same family.



The excerpt below describes the IVF family highlighted in blue above:

Among the families displayed in these figures, at position number 15 from the left, we encounter an interesting case of sibling polygenic distribution relative to the parents. In the family all siblings have significantly higher Health Index score than the parents. This arises in an interesting manner: the mother is a high-risk outlier for condition X and the father is a high-risk outlier for condition Y. (We do not specify X and Y, out of an abundance of caution for privacy, although the patients have consented that such information could be shared.) Their lower overall Health Index scores result from high risk of conditions X (mother) and Y (father). However, the embryos, each resulting from unique recombination of parental genotypes, are normal risk for both X and Y and each embryo has much higher Health Index score than the parents.
This case illustrates well the potential benefits from PGS embryo screening.

 
The second part of the paper introduces a new technique that directly probes DNA recombination -- the molecular mechanism responsible for sibling genetic differences. See figure above for some results. The new method detects recombination breaks via statistical discontinuities in pairwise comparisons of DNA regions.

From the discussion:
...This new sibling-pair method can be applied to large datasets with many thousands of sibling pairs. In this project we created a map of roughly 1.44 million recombination events using UKB genomes. Similar maps can now be created using other biobank data, including in non-European ancestry groups that have not yet received sufficient attention. The landmark deCODE results were obtained under special circumstances: the researchers had access to data resulting from a nationwide project utilizing genealogical records (unusually prevalent in Iceland) and widespread sequencing. Using the sibling-pair method results of comparable accuracy can be obtained from existing datasets around the world -- e.g., national biobanks in countries such as the USA, Estonia, China, Taiwan, Japan, etc.
The creator of this new sibling-pair method for recombination mapping is my son. He developed and tested the algorithm, and wrote all the code in Python. It's his high school science project :-)

Monday, September 05, 2022

Lunar Society (Dwarkesh Patel) Interview

 

Dwarkesh did a fantastic job with this interview. He read the scientific papers on genomic prediction and his questions are very insightful. Consequently we covered the important material that people are most confused about. 

Don't let the sensationalistic image above deter you -- I highly recommend this podcast!

0:00:00 Intro 
0:00:49 Feynman’s advice on picking up women 
0:12:21 Embryo selection 
0:24:54 Why hasn't natural selection already optimized humans? 
0:34:48 Aging 
0:43:53 First Mover Advantage 
0:54:24 Genomics in dating 
1:01:06 Ancestral populations 
1:08:33 Is this eugenics? 
1:16:34 Tradeoffs to intelligence 
1:25:36 Consumer preferences 
1:30:49 Gwern 
1:35:10 Will parents matter? 
1:46:00 Wordcels and shape rotators 
1:58:04 Bezos and brilliant physicists 
2:10:58 Elite education 

If you prefer audio-only click here.

Wednesday, July 06, 2022

WIRED: Genetic Screening Now Lets Parents Pick the Healthiest Embryos


This is a balanced and informative article in WIRED, excerpted from author Rachael Pells' forthcoming bookGenomics: How Genome Sequencing Will Change Our Lives.
WIRED: ... Companies such as Genomic Prediction are taking this process much further, giving parents the power to select the embryo they believe to have the best fighting chance of survival both in the womb and out in the world. At the time of writing, Genomic Prediction works with around 200 IVF clinics across six continents. For company cofounder Stephen Hsu, the idea behind preconception screening was no eureka moment, but something he and his peers developed gradually. “We kept pursuing the possibilities from a purely scientific interest,” he says. Over time sequencing has become cheaper and more accessible, and the bank of genetic data has become ever greater, which has provided the opportunity to easily apply machine learning programs to seek out patterns, Hsu explains. “You can have typically millions of people in one data set, with exact measurements of certain things about them—for instance how tall they are or whether they have diabetes—what we call phenotypes. And so it’s relatively straightforward to use AI to build genetic predictors of traits ranging from very simple ones which are only determined by a few genes, or a few different locations in the genome, to the really complicated ones.” As Hsu indicates, the crucial difference with this technology is that it’s not just single mutations like cystic fibrosis or sickle cell anemia that the service makes its calculations on. The conditions embryos are screened for can be extremely complicated, involving thousands of genetic variants across different parts of the genome. 
In late 2017, Hsu and his colleagues published a paper demonstrating how, using genomic data at scale, scientists could predict someone’s height to within an inch of accuracy using just their DNA. The research group later used the same method to build genomic predictors for complex diseases such as hypothyroidism, types 1 and 2 diabetes, breast cancer, prostate cancer, testicular cancer, gallstones, glaucoma, gout, atrial fibrillation, high cholesterol, asthma, basal cell carcinoma, malignant melanoma, and heart attacks. ...

Two useful references:

Polygenic Health Index, General Health, and Disease Risk 

Complex Trait Prediction: Methods and Protocols (Springer 2022)

Saturday, June 11, 2022

Genomic Prediction on WHYY The Pulse

This 20 minute podcast segment is very well done. Congratulations to science journalist Teresa Carey.

 

 

Startup offers genetic testing that promises to predict healthiest embryo 
Aurea toddles around in her pink sparkly sneakers, climbing up the steps that, to her, are nearly waist high. Her tiny t-shirt is the epitome of how adorable she is. It says “you + me + snuggles.” Aurea’s father, Rafal Smigrodzki, watches over his little girl. He is clearly proud of her. “She’s very lively. I think she’s a pretty, pretty happy baby,” Smigrodzki said, “a very often smiley baby.” 
Of course, Smigrodzki thinks his baby is special — most parents do. But Aurea is indeed unique. She was born almost two years ago and happens to be the first child born as the result of a new type of genetic screening, which carefully selected her embryo. Smigrodzki and his girlfriend used in vitro fertilization and an advanced selection process from a startup called Genomic Prediction. 
The New Jersey startup offers genetic tests and promises to help prospective parents select embryos with the best possible genes. The company says its test can screen embryos for a variety of diseases and health conditions, like heart disease, diabetes, or breast cancer. 
Smigrodzki, a neurologist with a PhD in genetics, stumbled across the company in 2017. 
“I was always interested and reading about all kinds of new developments,” he said. “And just happened to read an article in the MIT Technology Review about Genomic Prediction.” 
...
For more information, see (audio + transcript): 

  

Sunday, May 29, 2022

Genomic Prediction in Bloomberg


A nice article in Bloomberg describing polygenic embryo selection in IVF: DNA Testing for Embryos Promises to Predict Genetic Diseases, by Carey Goldberg.
Bloomberg: Simone Collins knew she was pregnant the moment she answered the phone. ... Embryo 3, the fertilized egg that Collins and her husband, Malcolm, had picked, could soon be their daughter—a little girl with, according to their tests, an unusually good chance of avoiding heart disease, cancer, diabetes, and schizophrenia. 
This isn’t a story about Gattaca-style designer babies. No genes were edited in the creation of Collins’s embryo. The promise, from dozens of fertility clinics around the world, is just that the new DNA tests they’re using can assess, in unprecedented detail, whether one embryo is more likely than the next to develop a range of illnesses long thought to be beyond DNA-based predictions. It’s a new twist on the industry-standard testing known as preimplantation genetic testing, which for decades has checked embryos for rare diseases, such as cystic fibrosis, that are caused by a single gene. 
One challenge with leading killers like cancer and heart disease is that they’re usually polygenic: linked to many different genes with complex interactions. Patients such as Collins can now take tests that assess thousands of DNA data points to decode these complexities and compute the disease risks. Genomic Prediction, the five-year-old New Jersey company that handled the tests for her fertility clinic, generates polygenic risk scores, predicting in percentage terms each embryo’s chances of contracting each disease in the panel, plus a composite score for overall health. Parents with multiple embryos can then weigh the scores when deciding which one to implant. 
... 
This new form of genetic embryo testing appears to move humanity one step closer to control of its evolution. The $14 billion IVF industry brings more than 500,000 babies into the world each year, and with infertility rates rising, the market is expected to more than double this decade. Companies including Genomic Prediction bet many going into that process have seen enough loved ones suffer from a polygenic disease to want risk scoring. 
[ Note I think the number of IVF babies born worldwide each year is more like 1 million, but there is some uncertainty in estimates. ] 
... 
In December, Genomic Prediction doubled its venture funding to about $25 million and says it will use the cash to expand and add to its testing panel. Boston IVF, one of the biggest fertility networks in the US, recently started offering Genomic Prediction’s polygenic testing to its patients, says CEO David Stern. “Like anything else, you have early adopters,” he says. “We have had patients who worked in the biotech field or the Harvard milieu who came in and asked for it.” Stern predicts that, like egg freezing, polygenic embryo testing will grow slowly at first, but steadily, and eventually demand will reflect the powerful appeal of lowering a child’s odds for disease. 
...
Believers such as Collins and her husband support government subsidies for fertility and parenthood but aren’t interested in any conversation about slowing down. “This is about the people who care about giving their children every opportunity,” she says. “I do not believe that law or social norms are going to stop parents from giving their kids advantages.”

This article is well-written and informative. It covers polygenic screening from multiple perspectives: the parents who want a healthy child, the IVF doctors and genetic counselors who help the parents toward that goal, the scientists who study polygenic prediction and its ability to differentiate risk among siblings (i.e., embryos), the bioethicists who worry about a slippery slope to GATTACA.

An important point that is not discussed in the article (understandable, given the complexity of the topics listed above), is that precise genotyping of embryos leads to higher success rates in IVF.

... improved success rates resulting from higher accuracy in aneuploidy screening of embryos will affect millions of families around the world, and over 60% of all IVF families in the US.  
The SNP array platform allows very accurate genotyping of each embryo at ~1 million locations in the genome, and the subsequent bioinformatic analysis produces a much more accurate prediction of chromosomal normality than the older methods. 
Millions of embryos are screened each year using PGT-A, about 60% of all IVF embryos in the US. 
Klaus Wiemer is the laborator director for Poma Fertility near Seattle. He conducted this study independently, without informing Genomic Prediction. 
There are ~3000 embryos in the dataset, all biopsied at Poma and samples allocated to three testing labs A,B,C using the two different methods. The family demographics (e.g., maternal age) were similar in all three groups. Lab B is Genomic Prediction and A,C are two of the largest IVF testing labs in the world, using NGS. 
The results imply lower false-positive rates, lower false-negative rates, and higher accuracy overall from our methods. These lead to a significantly higher pregnancy success rate. 
The new technology has the potential to help millions of families all over the world.


This increase in pregnancy success rates was not something we directly aimed for -- rather, we were simply trying to get the most accurate characterization of chromosomal abnormality (aneuploidy) using the high precision genotype from our platform. After Dr. Wiemer surprised us with these results, it became plausible that significant increases in success rates per IVF cycle could still exist as low-hanging fruit. The ~3k embryos used in his study are considered a big sample size in fertility research, whereas in genomics today a big sample is hundreds of thousands or a million individuals. 

Prioritizing research in IVF using large sample sizes could plausibly raise success rates per cycle to, e.g., ~80%. The qualitative experience of parents using IVF will improve with average success rates, perhaps relieving much of the angst and uncertainty.

Sunday, May 01, 2022

Complex Trait Prediction: Methods and Protocols (Springer 2022)


My research group contributed a chapter to this new book on Complex Trait Prediction (see below). The book is somewhat unique, covering applications to humans, plants, and animals all in a single volume. 
Complex Trait Prediction: Methods and Protocols (Springer Nature) 
Editors: 
Nourollah Ahmadi and Jérôme Bartholomé 
CIRAD, UMR AGAP Institut, Montpellier, France

 

About this book 
This volume explores the conceptual framework and the practical issues related to genomic prediction of complex traits in human medicine and in animal and plant breeding. The book is organized into five parts. Part One reminds molecular genetics approaches intending to predict phenotypic variations. Part Two presents the principles of genomic prediction of complex traits, and reviews factors that affect its reliability. Part Three describes genomic prediction methods, including machine-learning approaches, accounting for different degree of biological complexity, and reviews the associated computer-packages. Part Four reports on emerging trends such as phenomic prediction and incorporation into genomic prediction models of “omics” data and crop growth models. Part Five is dedicated to lessons learned from case studies in the fields of human health and animal and plant breeding, and to methods for analysis of the economic effectiveness of genomic prediction. 
Written in the highly successful Methods in Molecular Biology series format, the book provides theoretical bases and practical guidelines for an informed decision making of practitioners and identifies pertinent routes for further methodological researches. Cutting-edge and thorough, Complex Trait Predictions: Methods and Protocols is a valuable resource for scientists and researchers who are interested in learning more about this important and developing field.
Our article (pp 421–446):
From Genotype to Phenotype: Polygenic Prediction of Complex Human Traits 
T. Raben, L. Lello, E. Widen, and S. Hsu 
Decoding the genome confers the capability to predict characteristics of the organism (phenotype) from DNA (genotype). We describe the present status and future prospects of genomic prediction of complex traits in humans. Some highly heritable complex phenotypes such as height and other quantitative traits can already be predicted with reasonable accuracy from DNA alone. For many diseases, including important common conditions such as coronary artery disease, breast cancer, type I and II diabetes, individuals with outlier polygenic scores (e.g., top few percent) have been shown to have 5 or even 10 times higher risk than average. Several psychiatric conditions such as schizophrenia and autism also fall into this category. We discuss related topics such as the genetic architecture of complex traits, sibling validation of polygenic scores, and applications to adult health, in vitro fertilization (embryo selection), and genetic engineering.
Ungated arXiv version.

Previous discussion: 




See also Big Chickens.

Friday, March 11, 2022

Genomic Prediction’s Stephen Hsu: Making superhumans will be possible (Sunday Times podcast)

 
Danny Fortson (Sunday Times) is based in Silicon Valley and has a regular podcast on technology. I really enjoyed this conversation.
Genomic Prediction’s Stephen Hsu: Making superhumans will be possible 
The Sunday Times’ tech correspondent Danny Fortson brings on Stephen Hsu, co-founder of Genomic Prediction, to talk about the plummeting price of genomic sequencing (5:00), predicting height and cancer (9:10), mining biobanks (14:25), scoring embryos (19:00), why investors are staying anonymous (28:00), the need for a society-wide discussion (32:30), when he was accused of being a eugenicist (37:25), how powerful genetic prediction can be (43:15), genetic engineering (49:45), and why Denmark is the future (59:30).

Thursday, February 03, 2022

ManifoldOne podcast Episode#2: Steve Hsu Q&A

 

Steve answers questions about recent progress in AI/ML prediction of complex traits from DNA, and applications in embryo selection. 

Highlights: 

1. Overview of recent advances in trait prediction 
2. Would cost savings from breast cancer early detection pay for genotyping of all women? 
3. How does IVF work? Economics of embryo selection 
4. Whole embryo genotyping increases IVF success rates (pregnancy per transfer) significantly 
5. Future predictions 


Some relevant scientific papers: 

Preimplantation Genetic Testing for Aneuploidy: New Methods and Higher Pregnancy Rates 

2021 review article on complex trait prediction 

Accurate Genomic Prediction of Human Height 

Genomic Prediction of 16 Complex Disease Risks Including Heart Attack, Diabetes, Breast and Prostate Cancer 

Genetic architecture of complex traits and disease risk predictors 

Sibling validation of polygenic risk scores and complex trait prediction 

Sunday, January 30, 2022

Genetic risk factors have a substantial impact on healthy life years (FinnGen)

This new preprint obtains very interesting results using data from the FinnGen cohort of 300k+ Finns (genotypes + medical records) and UK Biobank. 
Genetic risk factors have a substantial impact on healthy life years 
Sakari Jukarainen et al. 
The impact of genetic variation on overall disease burden has not been comprehensively evaluated. Here we introduce an approach to estimate the effect of different types of genetic risk factors on disease burden quantified through disability-adjusted life years (DALYs, “lost healthy life years”). We use genetic information from 735,748 individuals with registry-based follow-up of up to 48 years. At the individual level, rare variants had higher effects on DALYs than common variants, while common variants were more relevant for population-level disease burden. Among common variants, rs3798220 (LPA) had the strongest effect, with 1.18 DALYs attributable to carrying 1 vs 0 copies of the minor allele. Belonging to top 10% vs bottom 90% of a polygenic score for multisite chronic pain had an effect of 3.63 DALYs. Carrying a deleterious rare variant in LDLR, MYBPC3, or BRCA1/2 had an effect of around 4.1-13.1 DALYs. The population-level disease burden attributable to some common variants is comparable to the burden from modifiable risk factors such as high sodium intake and low physical activity. Genetic risk factors can explain a sizeable number of healthy life years lost both at the individual and population level, highlighting the importance of incorporating genetic information into public health efforts.
The figure below shows DALYs attributable to being in the top 10% vs bottom 90% of each PGS. (So, roughly, top 10% vs average individuals.) 

The Shorter Lifespan Polygenic Score is a kind of index similar to the Embryo Health Score used by Genomic Prediction. Note that the difference between 90+ percentile and average individuals is roughly 4 DALYs!  





In our 2019 sibling validation paper we showed that disease risk polygenic scores have roughly as much predictive power to differentiate high and low risk sibs as when applied to pairs of unrelated individuals. 


Thus the results above are indicative of DALY gains from embryo selection.


In 2018 we had Arno Palotie, one of the founders of FinnGen, at MSU to give a talk about the project. 



Sunday, January 16, 2022

Preimplantation Genetic Testing for Aneuploidy: New Methods and Higher Pregnancy Rates (re-post with video)

The post below appeared originally November 1 2021, just after the annual American Society for Reproductive Medicine meeting in October. The video of Dr. Wiemer's talk was embargoed so I could not include it. However, now that the embargo has passed you can view it at the link below.


 


Comparison of Outcomes from Concurrent Use of 3 Different PGT-A Laboratories, Main program of ASRM 2021, Presented on October 18th by Klaus Wiemer, PhD.

Let me stress again that improved success rates resulting from higher accuracy in aneuploidy screening of embryos will affect millions of families around the world, and over 60% of all IVF families in the US.




[ NOTE ADDED NOVEMBER 12 2021: Research seminar videos from ASRM are embargoed until 12/31. So this video will not be available until then. ]

This talk describes a study of PGT-A (Preimplantation Genetic Testing - Aneuploidy, i.e., testing for chromosomal normality) using 2 different methods: NGS vs the new SNP array platform (LifeView) developed by my startup Genomic Prediction. 

The SNP array platform allows very accurate genotyping of each embryo at ~1 million locations in the genome, and the subsequent bioinformatic analysis produces a much more accurate prediction of chromosomal normality than the older methods. 

Millions of embryos are screened each year using PGT-A, about 60% of all IVF embryos in the US. 

Klaus Wiemer is the laborator director for Poma Fertility near Seattle. He conducted this study independently, without informing Genomic Prediction. There are ~3000 embryos in the dataset, all biopsied at Poma and samples allocated to three testing labs A,B,C using the two different methods. The family demographics (e.g., maternal age) were similar in all three groups. Lab B is Genomic Prediction and A,C are two of the largest IVF testing labs in the world, using NGS.

The results imply lower false-positive rates, lower false-negative rates, and higher accuracy overall from our methods. These lead to a significantly higher pregnancy success rate.

The new technology has the potential to help millions of families all over the world.

Comparison of Outcomes from Concurrent Use of 3 Different PGT-A Laboratories 
Oct 18 2021 annual meeting of the American Society for Reproductive Medicine (ASRM) 
Klaus Wiemer, PhD

While Down Syndrome population incidence (i.e., in babies born) is only ~1 percent, the incidence of aneuploidy in embryos is much higher. Aneuploidy is more likely to result in a failed pregnancy than in the birth of a Downs baby -- e.g., because the embryo fails to implant, or does not develop properly during the pregnancy. 

False positives mean fewer healthy embryos available for transfer, while false negatives mean that problematic embryos are transferred. Both of these screening accuracies affect the overall pregnancy success rate.

Friday, December 24, 2021

Peace on Earth, Good Will to Men 2021



When asked what I want for Christmas, I reply: Peace On Earth, Good Will To Men :-)

No one ever seems to recognize that this comes from the Bible (Luke 2.14).

Linus said it best in A Charlie Brown Christmas:
And there were in the same country shepherds abiding in the field, keeping watch over their flock by night.

And, lo, the angel of the Lord came upon them, and the glory of the Lord shone round about them: and they were sore afraid.

And the angel said unto them, Fear not: for, behold, I bring you good tidings of great joy, which shall be to all people.

For unto you is born this day in the city of David a Saviour, which is Christ the Lord.

And this shall be a sign unto you; Ye shall find the babe wrapped in swaddling clothes, lying in a manger.

And suddenly there was with the angel a multitude of the heavenly host praising God, and saying,

Glory to God in the highest, and on earth peace, good will toward men.

Merry Christmas!

Please accept my best wishes and hopes for a wonderful 2022. Be of good cheer, for we shall prevail! :-) 


The first baby conceived from an embryo screened with Genomic Prediction preimplantation genetic testing for polygenic risk scores (PGT-P) was born in mid-2020. 

First Baby Born from a Polygenically Screened Embryo (video panel)




Embryo Screening for Polygenic Disease Risk: Recent Advances and Ethical Considerations (Genes 2021 Special Issue)
It is a great honor to co-author a paper with Simon Fishel, the last surviving member of the team that produced the first IVF baby (Louise Brown) in 1978. His mentors and collaborators were Robert Edwards (Nobel Prize 2010) and Patrick Steptoe (passed before 2010). ... 
Today millions of babies are produced through IVF. In most developed countries roughly 3-5 percent of all births are through IVF, and in Denmark the fraction is about 10 percent! But when the technology was first introduced with the birth of Louise Brown in 1978, the pioneering scientists had to overcome significant resistance. 
There may be an alternate universe in which IVF was not allowed to develop, and those millions of children were never born. 
Wikipedia: ...During these controversial early years of IVF, Fishel and his colleagues received extensive opposition from critics both outside of and within the medical and scientific communities, including a civil writ for murder.[16] Fishel has since stated that "the whole establishment was outraged" by their early work and that people thought that he was "potentially a mad scientist".[17] 
I predict that within 5 years the use of polygenic risk scores will become common in health systems (i.e., for adults) and in IVF. Reasonable people will wonder why the technology was ever controversial at all, just as in the case of IVF.

Genomic Prediction has now performed embryo genetic tests for  ~200 IVF clinics on six continents. Millions of embryos are screened each year, worldwide.


Six years ago on Christmas day I shared the Nativity 2050 story below. 


And the angel said unto them, Fear not: for, behold, I bring you good tidings of great joy, which shall be to all people.
Mary was born in the twenties, when the tests were new and still primitive. Her mother had frozen a dozen eggs, from which came Mary and her sister Elizabeth. Mary had her father's long frame, brown eyes, and friendly demeanor. She was clever, but Elizabeth was the really brainy one. Both were healthy and strong and free from inherited disease. All this her parents knew from the tests -- performed on DNA taken from a few cells of each embryo. The reports came via email, from GP Inc., by way of the fertility doctor. Dad used to joke that Mary and Elizabeth were the pick of the litter, but never mentioned what happened to the other fertilized eggs.

Now Mary and Joe were ready for their first child. The choices were dizzying. Fortunately, Elizabeth had been through the same process just the year before, and referred them to her genetic engineer, a friend from Harvard. Joe was a bit reluctant about bleeding edge edits, but Mary had a feeling the GP engineer was right -- their son had the potential to be truly special, with just the right tweaks ...

Friday, December 10, 2021

Elizabeth Carr: First US IVF baby and Genomic Prediction patient advocate (The Sunday Times podcast)


I don't have an embed link so click here to listen to the podcast.
Genomic Prediction’s Elizabeth Carr: “Scoring embryos”  
The Sunday Times’ tech correspondent Danny Fortson brings on Elizabeth Carr, America’s first baby conceived by in-vitro fertilization and patient advocate at Genomic Prediction, to talk about the new era of pre-natal screening (5:45), the dawn of in-vitro fertilization (8:40), the technology’s acceptance (12:10), what Genomic Prediction does (13:40), scoring embryos (16:30), the slippery slope (19:20), selecting for smarts (24:15), the cost (25:00), and the future of conception (28:30). PLUS Dan Benjamin, bio economist at UCLA, comes on to talk about why he and others raised the alarm about polygenic scoring (30:20), drawing the line between prevention and enhancement (34:15), limits of the tech (37:15), what else we can select for (40:00), and unexpected consequences (42:00). DEC 3, 2021 

This is an earlier podcast I did with Elizabeth and IVF physician Serena Chen (IRMS and Rutgers University Medical School).

See also

First Baby Born from a Polygenically Screened Embryo (video panel)




Embryo Screening for Polygenic Disease Risk: Recent Advances and Ethical Considerations (Genes 2021 Special Issue)
It is a great honor to co-author a paper with Simon Fishel, the last surviving member of the team that produced the first IVF baby (Louise Brown) in 1978. His mentors and collaborators were Robert Edwards (Nobel Prize 2010) and Patrick Steptoe (passed before 2010). ... 
Today millions of babies are produced through IVF. In most developed countries roughly 3-5 percent of all births are through IVF, and in Denmark the fraction is about 10 percent! But when the technology was first introduced with the birth of Louise Brown in 1978, the pioneering scientists had to overcome significant resistance. 
There may be an alternate universe in which IVF was not allowed to develop, and those millions of children were never born. 
Wikipedia: ...During these controversial early years of IVF, Fishel and his colleagues received extensive opposition from critics both outside of and within the medical and scientific communities, including a civil writ for murder.[16] Fishel has since stated that "the whole establishment was outraged" by their early work and that people thought that he was "potentially a mad scientist".[17] 
I predict that within 5 years the use of polygenic risk scores will become common in some health systems (i.e., for adults) and in IVF. Reasonable people will wonder why the technology was ever controversial at all, just as in the case of IVF.

Saturday, November 27, 2021

Social and Educational Mobility: Denmark vs USA (James Heckman)




Despite generous social programs such as free pre-K education, free college, and massive transfer payments, Denmark is similar to the US in key measures of inequality, such as educational outcomes and cognitive test scores. 

While transfer payments can equalize, to some degree, disposable income, they do not seem to be able to compensate for large family effects on individual differences in development. 

These observations raise the following questions: 

1. What is the best case scenario for the US if all progressive government programs are implemented with respect to child development, free high quality K12 education, free college, etc.?

2. What is the causal mechanism for stubborn inequality of outcomes, transmitted from parent to child (i.e., within families)? 

Re #2: Heckman and collaborators focus on environmental factors, but do not (as far as I can tell) discuss genetic transmission. We already know that polygenic scores are correlated to the education and income levels of parents, and (from adoption studies) that children tend to resemble their biological parents much more strongly than their adoptive parents. These results suggest that genetic transmission of inequality may dominate environmental transmission.
  
See 



The Contribution of Cognitive and Noncognitive Skills to Intergenerational Social Mobility (McGue et al. 2020)


Note: Denmark is very homogenous in ancestry, and the data presented in these studies (e.g., polygenic scores and social mobility) are also drawn from European-ancestry cohorts. The focus here is not on ethnicity or group differences between ancestry groups. The focus is on social and educational mobility within European-ancestry populations, with or without generous government programs supporting free college education, daycare, pre-K, etc.

Lessons for Americans from Denmark about inequality and social mobility 
James Heckman and Rasmus Landersø 
Abstract Many progressive American policy analysts point to Denmark as a model welfare state with low levels of income inequality and high levels of income mobility across generations. It has in place many social policies now advocated for adoption in the U.S. Despite generous Danish social policies, family influence on important child outcomes in Denmark is about as strong as it is in the United States. More advantaged families are better able to access, utilize, and influence universally available programs. Purposive sorting by levels of family advantage create neighborhood effects. Powerful forces not easily mitigated by Danish-style welfare state programs operate in both countries.
Also discussed in this episode of EconTalk podcast. Russ does not ask the obvious question about disentangling family environment from genetic transmission of inequality.
 

The figure below appears in Game Over: Genomic Prediction of Social Mobility. It shows SNP-based polygenic score and life outcome (socioeconomic index, on vertical axis) in four longitudinal cohorts, one from New Zealand (Dunedin) and three from the US. Each cohort (varying somewhat in size) has thousands of individuals, ~20k in total (all of European ancestry). The points displayed are averages over bins containing 10-50 individuals. For each cohort, the individuals have been grouped by childhood (family) social economic status. Social mobility can be predicted from polygenic score. Note that higher SES families tend to have higher polygenic scores on average -- which is what one might expect from a society that is at least somewhat meritocratic. The cohorts have not been used in training -- this is true out-of-sample validation. Furthermore, the four cohorts represent different geographic regions (even, different continents) and individuals born in different decades.




The figure below appears in More on SES and IQ.

Where is the evidence for environmental effects described above in Heckman's abstract: "More advantaged families are better able to access, utilize, and influence universally available programs. Purposive sorting by levels of family advantage create neighborhood effects"? Do parents not seek these advantages for their adopted children as well as for their biological children? Or is there an entirely different causal mechanism based on shared DNA?

 


 

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