Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances

Paul RHJ Timmers, D. I. Boomsma, J. van Dongen, M. G. Nivard, B. Penninx, Peter K. Joshi, eQTLGen Consortium

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

We use a genome-wide association of 1 million parental lifespans of genotyped subjects and data on mortality risk factors to validate previously unreplicated findings near CDKN2B-AS1, ATXN2/BRAP, FURIN/FES, ZW10, PSORS1C3, and 13q21.31, and identify and replicate novel findings near ABO, ZC3HC1, and IGF2R. We also validate previous findings near 5q33.3/EBF1 and FOXO3, whilst finding contradictory evidence at other loci. Gene set and cell-specific analyses show that expression in foetal brain cells and adult dorsolateral prefrontal cortex is enriched for lifespan variation, as are gene pathways involving lipid proteins and homeostasis, vesicle-mediated transport, and synaptic function. Individual genetic variants that increase dementia, cardiovascular disease, and lung cancer - but not other cancers - explain the most variance. Resulting polygenic scores show a mean lifespan difference of around five years of life across the deciles. Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that all the issues have been addressed (see decision letter).

Original languageEnglish
Article numbere39856
Pages (from-to)1-40
Number of pages40
JournaleLife
Volume8
DOIs
Publication statusPublished - 15 Jan 2019

Funding

We thank the UK Biobank Resource, approved under application 8304; we acknowledge funding from the UK Medical Research Council Human Genetics Unit, Wellcome Trust PhD Training Fellowship for Clinicians - the Edinburgh Clinical Academic Track (ECAT) programme (204979/Z/16/Z), the Medical Research Council Doctoral Training Programme in Precision Medicine (MR/N013166/1) and the AXA research fund. We thank Tom Haller of the University of Tartu, for tailoring RegScan so we could use it with compressed files (Haller et al., 2015). We would also like to thank the researchers, funders and participants of the LifeGen consortium (Joshi et al., 2017).

FundersFunder number
Medical Research Council Human Genetics Unit
National Cancer InstituteK04CA001665
Wellcome Trust204979/Z/16/Z
Medical Research CouncilMR/N013166/1
AXA Research Fund

    Keywords

    • complex trait
    • genetics
    • genomics
    • human
    • lifespan
    • longevity

    Cohort Studies

    • Netherlands Twin Register (NTR)

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