Genetic Test Scores Predicting Intelligence Are Not the New Eugenics

Genetic Test Scores Predicting Intelligence Are Not the New Eugenics

A thinking person.

(© psdesign1/Fotolia)



"A world where people are slotted according to their inborn ability – well, that is Gattaca. That is eugenics."

This was the assessment of Dr. Catherine Bliss, a sociologist who wrote a new book on social science genetics, when asked by MIT Technology Review about polygenic scores that can predict a person's intelligence or performance in school. Like a credit score, a polygenic score is statistical tool that combines a lot of information about a person's genome into a single number. Fears about using polygenic scores for genetic discrimination are understandable, given this country's ugly history of using the science of heredity to justify atrocities like forcible sterilization. But polygenic scores are not the new eugenics. And, rushing to discuss polygenic scores in dystopian terms only contributes to widespread public misunderstanding about genetics.

Can we start genotyping toddlers to identify the budding geniuses among them? The short answer is no.

Let's begin with some background on how polygenic scores are developed. In a genome wide-association study, researchers conduct millions of statistical tests to identify small differences in people's DNA sequence that are correlated with differences in a target outcome (beyond what can attributed to chance or ancestry differences). Successful studies of this sort require enormous sample sizes, but companies like 23andMe are now contributing genetic data from their consumers to research studies, and national biorepositories like U.K. Biobank have put genetic information from hundreds of thousands of people online. When applied to studying blood lipids or myopia, this kind of study strikes people as a straightforward and uncontroversial scientific tool. But it can also be conducted for cognitive and behavioral outcomes, like how many years of school a person has completed. When researchers have finished a genome-wide association study, they are left with a dataset with millions of rows (one for each genetic variant analyzed) and one column with the correlations between each variant and the outcome being studied.

The trick to polygenic scoring is to use these results and apply them to people who weren't participants in the original study. Measure the genes of a new person, weight each one of her millions of genetic variants by its correlation with educational attainment from a genome-wide association study, and then simply add everything up into a single number. Voila! -- you've created a polygenic score for educational attainment. On its face, the idea of "scoring" a person's genotype does immediately suggest Gattaca-type applications. Can we now start screening embryos for their "inborn ability," as Bliss called it? Can we start genotyping toddlers to identify the budding geniuses among them?

The short answer is no. Here are four reasons why dystopian projections about polygenic scores are out of touch with the current science:

The phrase "DNA tests for IQ" makes for an attention-grabbing headline, but it's scientifically meaningless.

First, a polygenic score currently predicts the life outcomes of an individual child with a great deal of uncertainty. The amount of uncertainty around polygenic predictions will decrease in the future, as genetic discovery samples get bigger and genetic studies include more of the variation in the genome, including rare variants that are particular to a few families. But for now, knowing a child's polygenic score predicts his ultimate educational attainment about as well as knowing his family's income, and slightly worse than knowing how far his mother went in school. These pieces of information are also readily available about children before they are born, but no one is writing breathless think-pieces about the dystopian outcomes that will result from knowing whether a pregnant woman graduated from college.

Second, using polygenic scoring for embryo selection requires parents to create embryos using reproductive technology, rather than conceiving them by having sex. The prediction that many women will endure medically-unnecessary IVF, in order to select the embryo with the highest polygenic score, glosses over the invasiveness, indignity, pain, and heartbreak that these hormonal and surgical procedures can entail.

Third, and counterintuitively, a polygenic score might be using DNA to measure aspects of the child's environment. Remember, a child inherits her DNA from her parents, who typically also shape the environment she grows up in. And, children's environments respond to their unique personalities and temperaments. One Icelandic study found that parents' polygenic scores predicted their children's educational attainment, even if the score was constructed using only the half of the parental genome that the child didn't inherit. For example, imagine mom has genetic variant X that makes her more likely to smoke during her pregnancy. Prenatal exposure to nicotine, in turn, affects the child's neurodevelopment, leading to behavior problems in school. The school responds to his behavioral problems with suspension, causing him to miss out on instructional content. A genome-wide association study will collapse this long and winding causal path into a simple correlation -- "genetic variant X is correlated with academic achievement." But, a child's polygenic score, which includes variant X, will partly reflect his likelihood of being exposed to adverse prenatal and school environments.

Finally, the phrase "DNA tests for IQ" makes for an attention-grabbing headline, but it's scientifically meaningless. As I've written previously, it makes sense to talk about a bacterial test for strep throat, because strep throat is a medical condition defined as having streptococcal bacteria growing in the back of your throat. If your strep test is positive, you have strep throat, no matter how serious your symptoms are. But a polygenic score is not a test "for" IQ, because intelligence is not defined at the level of someone's DNA. It doesn't matter how high your polygenic score is, if you can't reason abstractly or learn from experience. Equating your intelligence, a cognitive capacity that is tested behaviorally, with your polygenic score, a number that is a weighted sum of genetic variants discovered to be statistically associated with educational attainment in a hypothesis-free data mining exercise, is misleading about what intelligence is and is not.

The task for many scientists like me, who are interested in understanding why some children do better in school than other children, is to disentangle correlations from causation.

So, if we're not going to build a Gattaca-style genetic hierarchy, what are polygenic scores good for? They are not useless. In fact, they give scientists a valuable new tool for studying how to improve children's lives. The task for many scientists like me, who are interested in understanding why some children do better in school than other children, is to disentangle correlations from causation. The best way to do that is to run an experiment where children are randomized to environments, but often a true experiment is unethical or impractical. You can't randomize children to be born to a teenage mother or to go to school with inexperienced teachers. By statistically controlling for some of the relevant genetic differences between people using a polygenic score, scientists are better able to identify potential environmental causes of differences in children's life outcomes. As we have seen with other methods from genetics, like twin studies, understanding genes illuminates the environment.

Research that examines genetics in relation to social inequality, such as differences in higher education outcomes, will obviously remind people of the horrors of the eugenics movement. Wariness regarding how genetic science will be applied is certainly warranted. But, polygenic scores are not pure measures of "inborn ability," and genome-wide association studies of human intelligence and educational attainment are not inevitably ushering in a new eugenics age.

Paige Harden
Dr. Paige Harden is tenured professor of clinical psychology at the University of Texas at Austin, where she is the Principal Investigator of the Developmental Behavior Genetics lab and co-director of the Texas Twin Project. Dr. Harden has published over 100 scientific articles on genetic influences on complex human behavior, including child cognitive development, academic achievement, risk-taking, mental health, sexual activity, and childbearing. In 2017, she was honored with a prestigious national award from the American Psychological Association for her distinguished scientific contributions to the study of genetics and human individual differences. Dr. Harden’s research is supported by a Jacobs Foundation Early Career Research Fellowship, the Templeton Foundation, and the National Institutes of Health. She is a Public Voices Fellow with the Op-Ed Project.
The World’s First Longevity Charter City: An interview with Niklas Anzinger.

Niklas Anzinger is the founder of Infinita VC based in the charter city of Prospera in Honduras. Infinita focuses on a new trend of charter cities and other forms of alternative jurisdictions. Healso hosts a podcast about how to accelerate the future by unblocking “stranded technologies”.This spring he was a part of the network city experiment Zuzalu spearheaded by Ethereum founder Vitalik Buterin where a few hundred invited guests from the spheres of longevity, biotechnology, crypto, artificial intelligence and investment came together to form a two-monthlong community. It has been described as the world’s first pop-up city. Every morning Vitalians would descend on a long breakfast—the menu had been carefully designed by famed radical longevity self-experimenter Bryan Johnson—and there is where I first met Anzinger who told me about Prospera. Intrigued to say the least, I caught up with him later the same week and the following is a record of our conversation.

Keep Reading Keep Reading
Ingemar Patrick Linden
Driven by a passion to probe the fundamental questions we are confronted with, Dr. INGEMAR PATRICK LINDEN has been on a journey of discovery taking him from Lund University in Sweden, to UCL in London, to University of California, to New York, where he has taught philosophy for almost a decade. Death. It does not get more fundamental than that. One of the ideas that has remained a firm conviction of the author’s since childhood is that we do not have enough time. We are but the beginnings of complete humans, fragments of what we could be. It was the realization that not all share this view, in fact, surveys show that most do not, that inspired, and necessitated, the writing of THE CASE AGAINST DEATH.
person using an apple watch
Luke Chesser - Unsplash

Today’s podcast guest is Rosalind Picard, a researcher, inventor named on over 100 patents, entrepreneur, author, professor and engineer. When it comes to the science related to endowing computer software with emotional intelligence, she wrote the book. It’s published by MIT Press and called Affective Computing.

Dr. Picard is founder and director of the MIT Media Lab’s Affective Computing Research Group. Her research and engineering contributions have been recognized internationally. For example, she received the 2022 International Lombardy Prize for Computer Science Research, considered by many to be the Nobel prize in computer science.

Keep Reading Keep Reading
Matt Fuchs
Matt Fuchs is the host of the Making Sense of Science podcast and served previously as the editor-in-chief of Leaps.org. He writes as a contributor to the Washington Post, and his articles have also appeared in the New York Times, WIRED, Nautilus Magazine, Fortune Magazine and TIME Magazine. Follow him @fuchswriter.