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May 21, 2026Annual Review of Biomedical Data Science0 citations

Sex and the Genome: Divergent Genetic Architecture Across the Human Lifespan

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JDJagyashila DasPGPauline GachanjaASAisha Sallah

Key Points

  • This review aims to explore how sex influences genetic traits and diseases from childhood to postreproductive life.
  • Reviewed literature on genetic differences affecting disease susceptibility across the human lifespan.
  • Discussed the impact of sexual dimorphism on health outcomes and treatment responses.
  • Analyzed the role of sex-specific factors in genetic architectures and metabolic processes.
  • Identified that early childhood shows intrinsic genetic sexual dimorphism before hormonal changes.
  • Found that autoimmune diseases have a fourfold bias towards females, influenced by X-inactivation.
  • Highlighted that X chromosome exclusion in studies has masked critical therapeutic targets.

Abstract

Males and females share nearly identical genomes yet exhibit profound differences in disease susceptibility, progression, and treatment response across the lifespan. These sex differences arise from evolutionary conflicts in which genetic variants confer opposing fitness effects between sexes, maintained by balancing selection. This review examines how sex shapes complex trait architecture from early childhood through postreproductive life. Early childhood reveals intrinsic genetic sexual dimorphism before hormonal activation. During reproductive years, sex-specific metabolic programming manifests through divergent adipose distribution and cardiometabolic risk, while autoimmune diseases demonstrate a fourfold female bias driven by incomplete X-inactivation. Postreproductive phases reveal antagonistic pleiotropy, in which variants that are beneficial for early reproduction increase late-life disease vulnerability. Systematic exclusion of X chromosome data from ∼75% of genome-wide association studies has obscured critical therapeutic targets. Sex-stratified genomic analyses consistently uncover effect sizes and risk loci that are invisible in sex-combined models. We argue that precision medicine must incorporate sex as a fundamental axis of genomic stratification across development, rather than treating it as a covariate to be adjusted away.

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Cite This Study

Das et al. (2026) studied this question.

synapsesocial.com/papers/6a0ea10ebe05d6e3efb5f675https://doi.org/10.1146/annurev-biodatasci-092724-060518
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