Show Notes
️ Episode 112: Local Genetic Sex Differences in Quantitative Traits
In this episode of PaperCast Base by Base, we explore how genetic differences between males and females are distributed across the genome, moving beyond global averages of heritability and correlation. The study introduces a fine-scale approach using LAVA to examine local genetic sex differences across 157 quantitative traits in the UK Biobank.
Study Highlights:
The researchers analyzed sex-stratified GWAS summary statistics and partitioned the genome into nearly 2,500 loci. They estimated local heritabilities, genetic correlations, and equality of genetic effects, finding that nearly every trait had at least one locus with sex-specific genetic architecture. Many differences appeared in blood biomarkers, with testosterone, urate, and lipoprotein traits showing strong local divergence. The study also demonstrated how interpretations vary depending on whether genetic effect sizes are assessed on raw or standardized scales, with standardized scales being more informative for heritability comparisons. Moreover, loci such as APOE and AKR1C genes revealed clear biological differences between the sexes, highlighting how local analyses can uncover dimorphic mechanisms missed in global assessments.
Conclusion:
This work shows that local analyses provide crucial insights into sex-specific genetic effects, revealing subtle but biologically meaningful differences that global metrics can obscure.
Reference:
Uffelmann, E., de Leeuw, C., Schipper, M., & Posthuma, D. (2025). Local genetic sex differences in quantitative traits. *Nature Communications, 16*(7232). https://doi.org/10.1038/s41467-025-62504-4
License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
Support:
If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
Keywords: sex differences, local heritability, genetic correlation, GWAS, quantitative traits
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