Genetic variants linked to education predict longevity

Riccardo E Marioni; Stuart J Ritchie; Peter K Joshi; Saskia P Hagenaars; Aysu Okbay; Krista Fischer; Mark J Adams; W David Hill; Gail Davies; Reka Nagy; Carmen Amador; Kristi Läll; Andres Metspalu; David C M Liewald; Archie Campbell; James F Wilson; Caroline Hayward; Tõnu Esko; David J Porteous; Catharine R Gale; Ian J Deary

doi:10.1073/pnas.1605334113

Genetic variants linked to education predict longevity

Riccardo E Marioni, Stuart J Ritchie, Peter K Joshi, Saskia P Hagenaars, Aysu Okbay, Krista Fischer, Mark J Adams, W David Hill, Gail Davies, Reka Nagy, Carmen Amador, Kristi Läll, Andres Metspalu, David C M Liewald, Archie Campbell, James F Wilson, Caroline Hayward, Tõnu Esko, David J Porteous, Catharine R GaleIan J Deary

56 Citationer (Scopus)

Abstract

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.

Originalsprog	Engelsk
Tidsskrift	Proceedings of the National Academy of Sciences of the United States of America
Vol/bind	113
Udgave nummer	47
Sider (fra-til)	13366-13371
Antal sider	6
ISSN	0027-8424
DOI	https://doi.org/10.1073/pnas.1605334113
Status	Udgivet - 22 nov. 2016
Udgivet eksternt	Ja

Adgang til dokumentet

10.1073/pnas.1605334113

Citationsformater

Marioni, R. E., Ritchie, S. J., Joshi, P. K., Hagenaars, S. P., Okbay, A., Fischer, K., Adams, M. J., Hill, W. D., Davies, G., Nagy, R., Amador, C., Läll, K., Metspalu, A., Liewald, D. C. M., Campbell, A., Wilson, J. F., Hayward, C., Esko, T., Porteous, D. J., ... Deary, I. J. (2016). Genetic variants linked to education predict longevity. Proceedings of the National Academy of Sciences of the United States of America, 113(47), 13366-13371. https://doi.org/10.1073/pnas.1605334113

Marioni, RE, Ritchie, SJ, Joshi, PK, Hagenaars, SP, Okbay, A, Fischer, K, Adams, MJ, Hill, WD, Davies, G, Nagy, R, Amador, C, Läll, K, Metspalu, A, Liewald, DCM, Campbell, A, Wilson, JF, Hayward, C, Esko, T, Porteous, DJ, Gale, CR & Deary, IJ 2016, 'Genetic variants linked to education predict longevity', Proceedings of the National Academy of Sciences of the United States of America, bind 113, nr. 47, s. 13366-13371. https://doi.org/10.1073/pnas.1605334113

@article{9b184d0f99134b20aefdf4ed51c1f4c1,

title = "Genetic variants linked to education predict longevity",

abstract = "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.",

keywords = "Journal Article",

author = "Marioni, {Riccardo E} and Ritchie, {Stuart J} and Joshi, {Peter K} and Hagenaars, {Saskia P} and Aysu Okbay and Krista Fischer and Adams, {Mark J} and Hill, {W David} and Gail Davies and Reka Nagy and Carmen Amador and Kristi L{\"a}ll and Andres Metspalu and Liewald, {David C M} and Archie Campbell and Wilson, {James F} and Caroline Hayward and T{\~o}nu Esko and Porteous, {David J} and Gale, {Catharine R} and Deary, {Ian J}",

year = "2016",

month = nov,

day = "22",

doi = "10.1073/pnas.1605334113",

language = "English",

volume = "113",

pages = "13366--13371",

journal = "Proceedings of the National Academy of Sciences of the United States of America",

issn = "0027-8424",

publisher = "National Academy of Sciences",

number = "47",

}

TY - JOUR

T1 - Genetic variants linked to education predict longevity

AU - Marioni, Riccardo E

AU - Ritchie, Stuart J

AU - Joshi, Peter K

AU - Hagenaars, Saskia P

AU - Okbay, Aysu

AU - Fischer, Krista

AU - Adams, Mark J

AU - Hill, W David

AU - Davies, Gail

AU - Nagy, Reka

AU - Amador, Carmen

AU - Läll, Kristi

AU - Metspalu, Andres

AU - Liewald, David C M

AU - Campbell, Archie

AU - Wilson, James F

AU - Hayward, Caroline

AU - Esko, Tõnu

AU - Porteous, David J

AU - Gale, Catharine R

AU - Deary, Ian J

PY - 2016/11/22

Y1 - 2016/11/22

N2 - 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.

AB - 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.

KW - Journal Article

U2 - 10.1073/pnas.1605334113

DO - 10.1073/pnas.1605334113

M3 - Journal article

C2 - 27799538

SN - 0027-8424

VL - 113

SP - 13366

EP - 13371

JO - Proceedings of the National Academy of Sciences of the United States of America

JF - Proceedings of the National Academy of Sciences of the United States of America

IS - 47

ER -

Genetic variants linked to education predict longevity

Abstract

Adgang til dokumentet

Fingeraftryk

Citationsformater