Genetic basis of partner choice

Area of Science:

• Behavioral genetics
• Statistical genetics
• Human mating behavior

Background:

• Previous genetic studies on human assortative mating have yielded limited insights into its underlying biological and social mechanisms.
• Understanding the genetic architecture of partner choice is crucial for interpreting genetic association studies.

Purpose of the Study:

• To conduct the first genome-wide association study (GWAS) on a latent index for partner choice.
• To identify phenotypic characteristics and social processes associated with assortative mating.
• To develop methods for mitigating assortative mating-driven biases in genetic studies.

Main Methods:

• Utilized advanced statistical genetics tools and insights from marriage market economics.
• Performed a genome-wide association study (GWAS) on a latent partner choice index.
• Analyzed data from 206,617 individuals across four global cohorts.

Main Results:

• Identified a robust genetic component underlying the partner choice index, consistent across sexes and countries.
• Uncovered key phenotypic characteristics and social processes contributing to assortative mating.
• Developed a method to reduce assortative mating biases in complex trait GWAS by conditioning on partner choice genetic associations.

Conclusions:

• Assortative mating has a substantial, broadly shared genetic basis.
• The findings provide a framework for correcting genetic association studies for mate choice biases.
• This research advances the understanding of the genetic and social underpinnings of human partner selection.