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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)
Verlagsversion Forschungsdaten DOI
Open Access Gold
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter genetics: education: longevity: prediction: polygenic score
Sprache
Veröffentlichungsjahr 2016
HGF-Berichtsjahr 2016
ISSN (print) / ISBN 0027-8424
e-ISSN 1091-6490
Quellenangaben Band: 113, Heft: 47, Seiten: 13366-13371 Artikelnummer: , Supplement: ,
Verlag National Academy of Sciences
Begutachtungsstatus Peer reviewed
POF Topic(s) 30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504100-001
G-504000-006
G-504091-004
G-500700-001
Erfassungsdatum 2016-12-20