The School of Computing and Data Science (https://www.cds.hku.hk/) was established by the University of Hong Kong on 1 July 2024, comprising the Department of Computer Science and Department of Statistics and Actuarial Science and Department of AI and Data Science.

Abstract

Understanding the genetic basis of human longevity remains a fundamental challenge in aging research. Although previous genome-wide association studies (GWAS) have identified a few loci,most prominently APOE, their replication has often been inconsistent, and most analyses have relied primarily on single-variant testing. To better understand the genetics of human longevity,we examined genetic determinants of age at death in the UK Biobank (UKB) and conducted independent replication in the All of Us (AoU) cohort. After standard quality control and covariate adjustment, we performed single-variant GWAS and complemented these with the Regional Association Score (RAS) framework to capture cumulative regional effects. To gain functional insight, we carried out transcriptome-wide association studies (TWAS) using RNA sequencing data from Mayo Pilot brain tissue. The UKB discovery and AoU replication analyses revealed robust associations across chromosome 19 encompassing APOE, APOC1, and NECTIN2(PVRL2), reaffirming this locus as the major genetic contributor to human lifespan. In addition,suggestive and potentially novel associations, such as those involving TRIM10 on chromosome 6, highlight new avenues for investigation. Together, these results underscore the enduring importance of the APOE region in longevity, demonstrate the value of regional association approaches alongside conventional GWAS, and provide new leads for elucidating the molecular mechanisms of human aging. This is a joint work with Yiran Jiang and Yue Hu.

 

Division of Computer Science,
School of Computing and Data Science

Rm 207 Chow Yei Ching Building
The University of Hong Kong
Pokfulam Road, Hong Kong
香港大學計算與數據科學院, 計算機科學系
香港薄扶林道香港大學周亦卿樓207室

Email: csenq@hku.hk
Telephone: 3917 3146

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