An international group of 100 scientists has studied 178,076 siblings to estimate the effects of genetics and environment on health and social outcomes. Their findings are published today (May 9) in Nature Genetics. They found that the genetic factors on more social traits—like educational attainment, age of first child and depression—are strongly influenced by either the family or social environment. In contrast, the genetic influences on more biological traits—such as cholesterol and BMI—were found to be less socially influenced.
The researchers, led by the University of Bristol’s Population Health Sciences (PHS), MRC Integrated Epidemiology Unit (IEU) and K.G. Jebsen Center for Genetic Epidemiology at Norwegian University, studied genetic, education attainment and health data on siblings from 19 studies across four continents.
The study conducted a genome-wide association study (GWAS) on the siblings to estimate the genetic associations between each outcome and millions of common genetic variants. This type of study typically estimates the association of a trait like BMI and millions of common genetic variants across the genome using samples of unrelated individuals. Using siblings to estimate genetic effects is an established technique that exploits the random process of meiosis to protect against confounding. Whether a pair of siblings shares a particular genotype is entirely random, so if the siblings who share the genotype have more similar trait measures, researchers can be more confident that the genotype is influencing the trait directly.
The team demonstrated that previously reported genome-wide association study associations, which typically use more widely available population samples, tend to overestimate direct effects for many traits including educational attainment, cognitive ability, age when first gave birth, whether someone has ever smoked, depressive symptoms and number of children. Furthermore, they found that estimates of heritability, genetic correlations and other genetic analysis methods could substantially differ when calculated using estimates from siblings. However, in some cases, there is a more complicated picture. For example, height is highly heritable, but the study found evidence that some of these differences may be attributed to the selection processes that parents made in choosing their partners.
Dr. Laurence Howe, the study’s lead author, said, “Our findings suggest large-scale family datasets provide new opportunities to quantify direct effects of genetic variation on human traits and diseases. Looking at sociological questions and genetics together is a powerful tool for understanding why different health and social outcomes happen, providing better insight for potential interventions and treatments.”
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