More advanced genomic screening for embyro selection for IVF

In 2014, Nextbigfuture predicted Tiger Moms as being the driver of early adoption of genetic intelligence enhancement and the lifting of the One child policy in China.

China’s One child policy was being lifted just as embryo selection based upon intelligence for invitro fertilized (IVF) babies becomes possible and we are on the cusp of genetic engineering. Women in China who are now older were banned from having babies but now will be allowed to have children. Many will not be able to conceive naturally and will use IVF. I see IVF going from 400,000 per year worldwide to 2-8 million per year over the next 10 years. IVF babies are more easily embryo selected and accessible for genetic modification. This would provide an economic boost to China in 20-30 years and the beginnings of a significant societal shift.

Genomics Prediction is a company that provides advanced genetic testing for IVF. They have developed a novel, genome-wide molecular genotyping methodology for pre-implantation genetic testing of embryos.

Our approach reduces disease risk and improves newborn health outcomes by identifying candidate embryos for implantation which are genetically normal.

IVF clinics already test the DNA of embryos to spot rare diseases, like cystic fibrosis, caused by defects in a single gene. But these “preimplantation” tests are poised for a dramatic leap forward as it becomes possible to peer more deeply at an embryo’s genome and create broad statistical forecasts about the person it would become.

The advance is occurring, say scientists, thanks to a growing flood of genetic data collected from large population studies. As statistical models known as predictors gobble up DNA and health information about hundreds of thousands of people, they’re getting more accurate at spotting the genetic patterns that foreshadow disease risk. But they have a controversial side, since the same techniques can be used to project the eventual height, weight, skin tone, and even intelligence of an IVF embryo.

Among the founders of Genomic Predictions is Stephen Hsu, a physicist who is vice president for research at Michigan State University.

Some basic points worth clarifying by Stephen Hsu at this Infoproc blog:

1. GP’s first product, announced at the annual ASRM (American Society of Reproductive Medicine) meeting this week, tests chromosomal abnormality. It is a less expensive but more accurate version of existing tests.

2. The polygenic product, to be launched in 2018, checks for hundreds of known single-gene (“Mendelian”) disease risks, and will likely have some true polygenic predictive capabilities. This last part is the main emphasis of the story, but it is just one component of the overall product offering. The article elides a lot of challenging laboratory work on DNA amplification, etc.

3. GP will only deliver results requested by an IVF physician. It is not a DTC (Direct to Consumer) company.

4. All medical risk analysis proceeds from the statistical (analyzing groups of people) to produce recommendations concerning a specific individual.

5. Stephen is on the Board of Directors of GP but is not an employee of the company.

… Hsu’s prediction is that “billionaires and Silicon Valley types” will be the early adopters of embryo selection technology, becoming among the first “to do IVF even though they don’t need IVF.” As they start producing fewer unhealthy children, and more exceptional ones, the rest of society could follow suit.

“I fully predict it will be possible,” says Hsu of selecting embryos with higher IQ scores. “But we’ve said that we as a company are not going to do it. It’s a difficult issue, like nuclear weapons or gene editing. There will be some future debate over whether this should be legal, or made illegal. Countries will have referendums on it.”

Laurent Tellier, a Danish bioinformatician who is CEO. Both Hsu and Tellier have been closely involved with a project in China that aims to sequence the genomes of mathematical geniuses, hoping to shed light on the genetic basis of IQ.

Stephen Hsu has predicted and tracks the research towards being able to predict and select for intelligence based upon genomic information.

Embryo Selection

* In Vitro Fertilization (IVF) currently is used for 400,000 babies each year.
* A new “Alka Seltzer method” for controlling PH reduces costs from $10K-20K in developed world to about $1K
* Developing world was $2-4K and can be $200
* Comprehensive Chromosome Screening (about $6000) can boost successful IVF by 10-20%

–> Lower costs for IVF means more adoption and widespread basic genetic screening via chromosome screening will already be used for high IVF success rate

* China lifting one child ban
* This will mean annual birthrates will go from about 16 million ==> 25.5 million
* 23-42 normal child bearing age
* IVF at older ages up to 50-55 now at about 5-15% but improving
* More older women in China will use IVF
* China is not culturally against enhancing children (a lot of tiger moms and cultural differences)
* Lower cost and more effective IVF with standard chromosome screening, easy step to gene screening
* Maybe 4 million IVF / year with gene screening

Children tend to fall within a spread of 13 IQ points above and below the average IQ of their parents.
Positive outlier at around 2 or 3 percent where child is two standard deviations above parents
Pick the smartest genome from a batch of, say, 20 embryos (but it could 50 or more embryos) to get 20-30 IQ points higher
We are technologically close to non-destructive sequencing of human gametes and zygotes by sequencing 10-20 cells.

Genetic Engineering for Intelligence

BGI (Beijing Genomics institute has a large intelligence study of thousands of geniuses
Various studies finding genes with up to 0.5% impact on intelligence
Intelligence is 40-80% inheritable
There are likely hundreds to a thousand genes that genetically determine intelligence
Similar to height. According to Steve Hsu’s estimates (based on actual data) most humans have (order of magnitude) 1000 rare (-) alleles for intelligence and height

One standard deviation above average has (very roughly) 30 fewer (-) variants.
No negative alleles might be 30 SD above average! Such a person has yet to exist in human history…
Each standard deviation (SD) up or down are defined as 15 IQ points greater or less,
95 percent of the population scores an IQ between 70 and 130, which is within two standard deviations of the mean.
30 SD above average would be and IQ of 550.

Maybe IQ 550 is Impossible or Meaningless

550 IQ would be like a 13 foot tall person
Physiology limits practical height
What are intelligence limits ?
Brain structure
Average human height is 70 inches and 3 inch SD (standard deviation)
8 feet 1 inch – 97 inches this is 9 Standard Deviations over average
235 IQ is the equivalent in intelligence of a 8 foot 1 inch person

Geniuses and Society

5% of population with 30 points higher intelligence might be about $14000 more GDP per capita
5% of population with 120 points higher intelligence might be about $56000 more GDP per capita
What would a society with tens of millions of Edisons, Einsteins, Steve Jobs and Elon Musks be like ?
Could we get beyond them in capability?

5% of population significantly intelligence enhanced would be possible if IVF takes off and embryo selection and genetic engineering with it over the next 10-20 years.