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Non-random mating induces genome-wide correlations between unlinked genetic variants, known as gametic phase disequilibrium (GPD), which contribution to heritability remains uncharacterized. Here, we introduce the Disequilibrium Genome-based REstricted Maximum Likelihood (DGREML) method to simultaneously quantify the additive contribution of single nucleotide polymorphisms (SNP) to heritability and that of their directional covariances. We applied DGREML to 26 phenotypes of 550,000 individuals from diverse biobanks and found that cross-autosome GPD contributes 10–27% of the SNP-based heritability of height, educational attainment (EA), intelligence, income, self-rated health status and sedentary behaviours. We observed a differential contribution of GPD to the heritability of height between the UK, Chinese and Japanese populations. Finally, bivariate DGREML analyses of EA and height show that cross-autosome GPD contributes at least 32% of their genetic correlation. Altogether, our versatile and powerful method reveals understudied features of the genetic architecture of complex traits and informs potential mechanisms generating these features.

Type

Journal article

Journal

Stroke

Publisher

Lippincott, Williams & Wilkins

Publication Date

28/04/2025