An analysis of data from 1.5 million people has identified 579 locations in the genome associated with a predisposition to different behaviors and disorders related to self-regulation, including addiction and child behavioral problems.

With these findings, researchers have constructed a genetic risk score — a number reflecting a person’s overall genetic propensity based on how many risk variants they carry — that predicts a range of behavioral, medical and social outcomes, including education levels, obesity, opioid use disorder, suicide, HIV infections, criminal convictions and unemployment.

“This study illustrates that genes don’t code for a particular disorder or outcome; there are no genes ‘for’ substance use disorder, or ‘for’ behavior problems,” said joint senior author. “Instead, genes influence the way our brains are wired, which can make us more at risk for certain outcomes. In this case, we find that there are genes that broadly influence self-control or impulsivity, and that this predisposition then confers risk for a variety of life outcomes.”

The study was published in the journal Nature Neuroscience and was conducted by a consortium of 26 researchers at 17 institutions in the United States and the Netherlands.

The study is one of the largest genome-wide association studies ever conducted, pooling data from an effective sample size of 1.5 million people of European descent. The researchers’ genetic risk score has one of the largest effect sizes — a measurement of the prediction power — of any genetic risk score for a behavioral outcome to date.

“It demonstrates the far-reaching effects of carrying a genetic liability toward lower self-control, impacting many important life outcomes,” said the author. “We hope that a greater understanding of how individual genetic differences contribute to vulnerability can reduce stigma and blame surrounding many of these behaviors, such as behavior problems in children and substance use disorders.”

The identification of the more than 500 genetic loci is important, the researchers said, because it provides new insight into our understanding of behaviors and disorders related to self-regulation, collectively referred to as “externalizing” and that have a shared genetic liability.

“We know that regulating behavior is a critical component of many important life outcomes — from substance use and behavioral disorders, like ADHD, to medical outcomes ranging from suicide to obesity, to educational outcomes like college completion,” the author said.

Characterizing the genetic contributions to self-regulation can be helpful in myriad ways, the author said.

“It allows us to better understand the biology behind why some people are more at risk, which can assist with medication development, and it can allow us to know who is more at risk, so we can put early intervention and prevention programs in place,” the author said. “Identifying genetic risk factors is a critical component of precision medicine, which has the goal of using information about an individual’s genetic and environmental risk factors to deliver more tailored, effective intervention specific to that individual’s risk profile.”

The researchers noted, however, that having a higher risk profile isn’t necessarily a bad thing.

“For example, CEOs, entrepreneurs and fighter pilots are often higher on risk taking,” the author said. “DNA is not destiny. We all have unique genetic codes, and we’re all at risk for something; but understanding one’s predisposition can be empowering — it can help individuals understand their strengths, and their potential challenges, and act accordingly.”

https://www.nature.com/articles/s41593-021-00908-3