Evidence map›Paper›PMID 42497868›Full record

ArticleAmerican journal of human genetics2026

Allele frequency trajectories across age groups reveal ongoing natural selection shaping disease susceptibility.

Jing-Lian Chen, Mei-Ling Kang, Cheng-Jui Lin, Yun-Hua Lo, Yann-Jang Chen, Hsiao-Hui Lee, Valis Tanapima, Chao-Kuang Lin, I-Hui Lee, Yoko Satta and 1 more

Abstract read
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Article in American journal of human genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Jing-Lian ChenDepartment of Life Sciences and Institute of Genome Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
Mei-Ling KangDepartment of Life Sciences and Institute of Genome Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Cheng-Jui LinDivision of Nephrology, Department of Internal Medicine, Mackay Memorial Hospital, Taipei, Taiwan.
Yun-Hua LoMolecular Anthropology and Transfusion Medicine Research Laboratory, Mackay Memorial Hospital, Taipei, Taiwan.
Yann-Jang ChenDepartment of Life Sciences and Institute of Genome Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Pediatrics, Taipei Veterans General Hospital, Taipei, Taiwan.
Hsiao-Hui LeeDepartment of Life Sciences and Institute of Genome Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Valis TanapimaResearch Center for Health and Technology Development of Indigenous People of Taiwan, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Emergency Medicine, Cheng Hsin General Hospital, Taipei, Taiwan.
Chao-Kuang LinResearch Center for Health and Technology Development of Indigenous People of Taiwan, National Yang Ming Chiao Tung University, Taipei, Taiwan; Institute of Science, Technology, and Society, National Yang Ming Chiao Tung University, Taipei, Taiwan.
I-Hui LeeInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan; Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Yoko SattaResearch Center for Integrative Evolutionary Science, SOKENDAI (The Graduate University for Advanced Studies), Hayama, Japan. Electronic address: satta@soken.ac.jp.
Wen-Ya KoDepartment of Life Sciences and Institute of Genome Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan; Research Center for Health and Technology Development of Indigenous People of Taiwan, National Yang Ming Chiao Tung University, Taipei, Taiwan. Electronic address: wenko@nycu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how selection shapes disease risk remains challenging. Variants influencing complex traits, including common diseases, can also impact fitness and thus be constrained by purifying selection. Consequently, genetic variance underlying disease susceptibility may be attributed to low-frequency, population-specific variants. We analyzed 509,817 genome-wide variants from 72,635 Han Taiwanese individuals to identify loci showing age-dependent allele frequency shifts that signal ongoing selection. After adjusting for potential age-related population structure, we detected 168 variants deviating from neutrality, with most showing declining frequencies in younger generations, consistent with purifying selection on deleterious alleles influencing disease risk. These variants were enriched for rare alleles (≤0.1%) and disease-associated variants. At BRCA1, we identified 16 rare pathogenic variants in strong linkage disequilibrium undergoing purifying selection that coexist with a positively selected haplotype, revealing temporally fluctuating selection; comparable patterns at BRCA2 and MLH1 suggest recurrent selective trade-offs in DNA repair genes. Phenome-wide association analysis across 30 hematologic and cardiometabolic traits linked a subset of candidates to increased erythrocyte volume and reduced hemoglobin concentration, suggesting subclinical physiological effects. These results demonstrate ongoing natural selection on disease-relevant variation, particularly affecting hematologic traits in the Han Taiwanese population, and highlight opportunities to refine precision-medicine risk models.

Indexed as

AgingGene FrequencyGenetic Predisposition to DiseaseSelection, GeneticAdultAgedAge FactorsFemaleGenome-Wide Association StudyHaplotypesHumansLinkage DisequilibriumMaleMiddle AgedPolymorphism, Single NucleotideTaiwanage-dependent allele frequency changeATG9ABRCA1disease susceptibilityerythrocyte volumeFADS2ongoing natural selectionpopulation genomicspurifying selectionTaiwan Biobank

Identifiers

PMID42497868
PMCPMC13504339

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.