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. 2019 Aug 30;365(6456):eaat7693.
doi: 10.1126/science.aat7693.

Large-scale GWAS reveals insights into the genetic architecture of same-sex sexual behavior

Affiliations

Large-scale GWAS reveals insights into the genetic architecture of same-sex sexual behavior

Andrea Ganna et al. Science. .

Abstract

Twin and family studies have shown that same-sex sexual behavior is partly genetically influenced, but previous searches for specific genes involved have been underpowered. We performed a genome-wide association study (GWAS) on 477,522 individuals, revealing five loci significantly associated with same-sex sexual behavior. In aggregate, all tested genetic variants accounted for 8 to 25% of variation in same-sex sexual behavior, only partially overlapped between males and females, and do not allow meaningful prediction of an individual's sexual behavior. Comparing these GWAS results with those for the proportion of same-sex to total number of sexual partners among nonheterosexuals suggests that there is no single continuum from opposite-sex to same-sex sexual behavior. Overall, our findings provide insights into the genetics underlying same-sex sexual behavior and underscore the complexity of sexuality.

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Figures

Fig. 1.
Fig. 1.. Descriptive statistics regarding same-sex sexual behavior in the UK Biobank.
(A)The percentage of participants in the UK Biobank who reported having had at least one same-sex sexual partner (y axis) increased with participants’ year of birth (x axis). (B) Among participants reporting at least one same-sex partner, those with a greater proportion of same-sex partners (x axis) have a larger reproductive disadvantage (lower birth-year adjusted number of children) (y axis). Vertical bars represent 95% CIs.
Fig. 2.
Fig. 2.. Manhattan plot for a GWAS of same-sex sexual behavior.
Diamonds (red) represent genome-wide significant signals from analysis of males and females combined, and triangles represent genome-wide significant signals that are female (pointing up, blue) or male (pointing down, green) specific.
Fig. 3.
Fig. 3.. SNP-based versus family-based heritability estimates for same-sex sexual behavior compared with a variety of other traits.
Heritability, h2; same-sex sexual behavior, red dot; other traits, gray dots. The estimates for all traits are provided in table S23. Horizontal bars represent 95% CIs for the SNP-based estimate, and vertical bars represent 95% CIs for the family-based estimate. Dashed and solid lines represent the observed (obtained by linear regression) and expected relationship between family-based and SNP-based heritability, respectively.
Fig. 4.
Fig. 4.. Genetic correlations of same-sex sexual behavior with various preselected traits and disorders, separately for males and females.
Males, green; females, blue. Yellow asterisks denote the genetic correlations that were experiment-wise significant (P < 8.9 × 10−4; references, definitions, and full results can be found in table S19). Wald test P values for the genetic correlations are reported above each dot. Horizontal bars represent 95% CIs.
Fig. 5.
Fig. 5.. Complexity and heterogeneity of genetic influences.
(A)Genetic correlations between the main phenotype (same-sex sexual behavior; heterosexuals versus nonheterosexuals) and proportion of same-sex to total sexual partners among nonheterosexuals, in the UK Biobank and 23andMe samples. (B) Scatterplot showing genetic correlations of the main phenotype (x axis) and the proportion of same-sex to total partners among nonheterosexuals (y axis) with various other traits (table S21). (C) Genetic correlations among different sexual preference items in the 23andMe sample.

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References

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