Hiding in plain sight: uncovering the genetic basis of complex phenotypes through low-risk groups
Medical genetic studies focus on high-risk groups to enrich for targeted phenotypes. Although genetic effects may vary across the lifespan, age-related enrichment of target phenotypes can also arise from cumulative environmental exposures, without requiring changes in genetic architecture. Accumulating environmental effects over the lifetime can inflate nongenetic variance, creating the illusion of greater genetic signal while in fact masking underlying genetic effects. We propose investigating the genetic architecture of complex phenotypes in lower-risk, younger individuals, which may reduce residual variance and improve power to isolate the genetic underpinnings of complex disease-related traits. To illustrate this, we analyzed 9 complex traits across age-stratified White European cohorts in the UK Biobank. Genome-wide association analyses reveal a greater number of genome-wide significant SNPs in younger cohorts. Complementing these results, heritability analyses show a higher relative genetic contribution in younger cohorts. Together, these patterns demonstrate that genetic signals are more readily detected in lower-risk, younger individuals. This perspective suggests that temporal dynamics in genetic architecture should guide participant selection, challenging the traditional focus on high-risk older groups and highlighting the value of targeting higher-heritability groups for genetic discovery.
Authors
- Hongsheng Gui (ORCID: https://orcid.org/0000-0002-0460-7446)
- Davorka Gulisija (ORCID: https://orcid.org/0000-0003-0363-3981)
- Guanqi Lu (ORCID: https://orcid.org/0009-0003-8393-5150)
- Ana I. Vázquez (ORCID: https://orcid.org/0000-0001-6618-7486)
- Sadeep Shrestha (ORCID: https://orcid.org/0000-0002-7002-357X)
- Richard J. Reynolds (ORCID: https://orcid.org/0000-0001-6419-7779)
- Molly S. Bray
- Harish Neelam
- Yifei Li
Institutions
- Henry Ford Health System (US)
- University of New Mexico (US)
- University of Alabama at Birmingham (US)
- Quantitative BioSciences (US)
- The University of Texas at Austin (US)
- Michigan State University (US)
Publication Details
- Journal
- Genetics
- Published
- 2026-07-16
- DOI
- https://doi.org/10.1093/genetics/iyag162
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of New Mexico
- National Healthcare Group
- Norges Idrettshøgskole
- National Institute of Diabetes and Digestive and Kidney Diseases
- National Institutes of Health, Pakistan