PLoS genetics · 2026
Unraveling the genetic links between stature and disease in East Asians: A multi-biobank genetic correlation and risk prediction study.
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Lin Ying-Ju, Liu Ting-Yuan, Yang Jai-Sing, Li Ju-Pi, Chiou Jian-Shiun, Lu Hsing-Fang, Ariyoshi Kuyuri, Hikino Keiko, Terao Chikashi, Chou Chen-Hsing, Liang Wen-Miin, Chou I-Ching, Lin Ting-Hsu, Liao Chiu-Chu, Huang Shao-Mei, Tsai Fuu-Jen
Аннотация
Both genetic and environmental factors affect human stature, including overall height and familial short stature (FSS), and it is associated with various health outcomes. However, the study of genetic connections between stature and health conditions remains lacking in East Asian populations. Hence, we conducted parallel genome-wide association studies (GWAS) of body height and FSS in the Han Taiwanese population, aiming to elucidate the genetic influences of stature on health and facilitate the formulation of precision-health strategies. We analyzed large-scale GWAS data on adult height (120,301 Han Taiwanese) and FSS (FSS; 2,050 cases, 27,966 controls) to examine cross-trait genetic correlations across five East Asian biobanks, and applied phenome-wide association studies (PheWAS) and polygenic risk score (PRS) analyses to assess clinical outcomes using Cox proportional hazard models and Kaplan-Meier analyses. We identified 293 loci for height and five for FSS, with cross-biobank genetic correlations linking stature to body size, lung function, and cardiovascular/reproductive traits (atrial flutter/fibrillation [AF], menarche, and endometriosis). PheWAS showed that height PRS increased risks of AF and endometriosis, while FSS PRS had a protective effect against endometriosis. MR analyses showed that taller stature increased AF risk independently and endometriosis risk through menarche/weight, while shorter stature had a weak protective effect against endometriosis. Survival analyses showed the association of higher height PRS with greater AF risk and an earlier divergence of cumulative incidence curves. These time-to-event patterns were consistently replicated using meta-analysis-derived PRSs. The findings highlight stature-related genetic determinants, associated health outcomes, and polygenic risk scores as effective tools for early risk prediction and precision health strategies in East Asian populations.