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Marioni, R.E.* ; Ritchie, S.J.* ; Joshi, P.K.* ; Hagenaars, S.P.* ; Okbay, A.* ; Fischer, K.* ; Adams, M.* ; Hill, W.* ; Davies, G.* ; Nagy, R.* ; Amador, C.* ; Läll, K.* ; Metspalu, A.* ; Liewald, D.C.* ; Campbell, A.* ; Wilson, J.F.* ; Hayward, C.* ; Esko, T.* ; Porteous, D.J.* ; Gale, C.R.* ; Deary, I.J.* ; EUMODIC Consortium (Baumbach, C. ; Gieger, C. ; Meisinger, C. ; Lichtner, P. ; Meitinger, T. ; Strauch, K.)

Genetic variants linked to education predict longevity.

Proc. Natl. Acad. Sci. U.S.A. 113, 13366-13371 (2016)
Publ. Version/Full Text Research data DOI
Educational attainment is associated with many health outcomes, including longevity. It is also known to be substantially heritable. Here, we used data from three large genetic epidemiology cohort studies (Generation Scotland, n = ∼17,000; UK Biobank, n = ∼115,000; and the Estonian Biobank, n = ∼6,000) to test whether education-linked genetic variants can predict lifespan length. We did so by using cohort members’ polygenic profile score for education to predict their parents’ longevity. Across the three cohorts, meta-analysis showed that a 1 SD higher polygenic education score was associated with ∼2.7% lower mortality risk for both mothers (total ndeaths = 79,702) and ∼2.4% lower risk for fathers (total ndeaths = 97,630). On average, the parents of offspring in the upper third of the polygenic score distribution lived 0.55 y longer compared with those of offspring in the lower third. Overall, these results indicate that the genetic contributions to educational attainment are useful in the prediction of human longevity.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords genetics: education: longevity: prediction: polygenic score
ISSN (print) / ISBN 0027-8424
e-ISSN 1091-6490
Quellenangaben Volume: 113, Issue: 47, Pages: 13366-13371 Article Number: , Supplement: ,
Publisher National Academy of Sciences
Non-patent literature Publications
Reviewing status Peer reviewed