Evidence map›Paper›PMID 41949656›Full record

ArticleGeroScience2026

Age-stratified genomic analyses reveal population-specific genetic determinants of exceptional longevity in Taiwan.

Ming-Shun Hsieh, Shu-Min Yang, Shu-Hui Liao, Chayanika Goswami, Pei-Hsuan Wu, Tzu-Hung Hsiao, Yi-Ming Chen, Sung-Yuan Hu, Chorng-Kuang How, Tzu-Pin Lu and 1 more

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Article in GeroScience, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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.

Ming-Shun HsiehDepartment of Emergency Medicine, Taoyuan Branch, Taipei Veterans General Hospital, Taoyuan, Taiwan.
Shu-Min YangInstitute of Health Data Analytics and Statistics, College of Public Health, National Taiwan University, Taipei, Taiwan.
Shu-Hui LiaoDepartment of Pathology and Laboratory, Taoyuan Branch, Taipei Veterans General Hospital, Taoyuan, Taiwan.
Chayanika GoswamiInstitute of Statistical Science, Taiwan International Graduate Program, Academia Sinica, Taipei, Taiwan.
Pei-Hsuan WuInstitute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
Tzu-Hung HsiaoDepartment of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan.
Yi-Ming ChenDepartment of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan.
Sung-Yuan HuDepartment of Emergency Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
Chorng-Kuang HowDepartment of Emergency Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Tzu-Pin LuInstitute of Health Data Analytics and Statistics, College of Public Health, National Taiwan University, Taipei, Taiwan. tplu@ntu.edu.tw.
Amrita ChattopadhyayInstitute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan. amrita@ntu.edu.tw.ORCID http://orcid.org/0000-0002-0513-6551

Funding

Academia Sinica 40-05-GMMAcademia Sinica AS-GC-110-MD02National Science and Technology Council 114-2314-B-002-056-
6 · The paper itself

Abstract

Human longevity arises from complex genetic and environmental interactions, yet the genetic basis of survival to extreme old age remains underexplored in Asian populations. We performed genome-wide association studies (GWAS) in a Taiwanese cohort, defining survival thresholds at ≥ 85, ≥ 90, and ≥ 95 years, and validated significant loci in an independent cohort. Multiple loci, including ZNF806, NUAK1, TANC1, SLC22A3, PTPRD, and PCSK2, were associated with longevity, of which 14 replicated with consistent effect directions (82% concordance). Allele frequencies aligned with East Asian references but diverged from prior Han Chinese studies, reflecting sub-ethnic variation. Polygenic risk scores (PRSs) alone showed limited predictive ability but provided statistically significant incremental improvement when integrated with clinical covariates. In the external validation cohort, adding PRS modestly improved model discrimination (AUC from 0.900 to 0.904 for ≥ 85 years and from 0.893 to 0.912 for ≥ 90 years) and yielded the largest improvement in the ≥ 95 group (AUC from 0.913 to 0.956; DeLong P < 10⁻⁸), with corresponding gains in reclassification metrics. These findings suggested that while clinical factors remained the primary predictors of survival, genetic risk captured by PRS contributed additional information, particularly at extreme longevity thresholds. Together, the results highlighted an age-dependent genetic architecture enriched for neural, cardio-metabolic, and stress-response pathways and supported the use of genetics-informed models as complementary tools for precision aging research in Taiwanese populations.

Indexed as

Genome-wide association studyLongevityPolygenic risk scorePrediction modelsTaiwan

Identifiers

PMID41949656

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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.