Genetic variants linked to education predict longevity

Social Science Genetic Association Consortium; R. E. Marioni; S. J. Ritchie; P. K. Joshi; S. P. Hagenaars; A. Okbay; K. Fischer; M. J. Adams; W. D. Hill; G. Davies; R. Nagy; C. Amador; K. Läll; A. Metspalu

doi:10.1073/pnas.1605334113

Genetic variants linked to education predict longevity

Social Science Genetic Association Consortium, R. E. Marioni^*, S. J. Ritchie, P. K. Joshi, S. P. Hagenaars, A. Okbay, K. Fischer, M. J. Adams, W. D. Hill, G. Davies, R. Nagy, C. Amador, K. Läll, A. Metspalu

^*Corresponding author for this work

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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 n_deaths= 79,702) and ∼2.4% lower risk for fathers (total n_deaths= 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.

Original language	English
Pages (from-to)	13366-13371
Number of pages	6
Journal	Proceedings of the National Academy of Sciences of the United States of America
Volume	113
Issue number	47
DOIs	https://doi.org/10.1073/pnas.1605334113
Publication status	Published - 22-Nov-2016

Keywords

Education
Genetics
Longevity
Polygenic score
Prediction

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Social Science Genetic Association Consortium, 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. (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

@article{ad20438ecb8542b29cfbcf2c4c34c7fe,

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 = "Education, Genetics, Longevity, Polygenic score, Prediction",

author = "{Social Science Genetic Association Consortium} and Marioni, {R. E.} and Ritchie, {S. J.} and Joshi, {P. K.} and Hagenaars, {S. P.} and A. Okbay and K. Fischer and Adams, {M. J.} and Hill, {W. D.} and G. Davies and R. Nagy and C. Amador and K. L{\"a}ll and A. Metspalu and Lee, {J. J.} and Rietveld, {C. A.} and Meddens, {S. F.} and Brandsma, {J. H.} and G. Girotto and T. Liu and Miller, {M. B.} and {van der Most}, {P. J.} and Smith, {A. V.} and N. Verweij and Westra, {H. J.} and J. Yang and W. Zhao and Alizadeh, {B. Z.} and G. Davies and {de Jager}, {P. L.} and Joshi, {P. K.} and Sanders, {A. R.} and H. Schmidt and Smith, {B. H.} and Smith, {J. A.} and Vonk, {J. M.} and K. Berger and Boomsma, {D. I.} and U. Bultmann and Eriksson, {J. G.} and L. Franke and {van der Harst}, P. and Penninx, {B. W.} and D. Posthuma and R. Schmidt and Wilson, {J. F.} and Smith, {G. D.} and A. Hofman and Meyer, {M. N.} and J. Yang and Visscher, {P. M.}",

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 = "NATL ACAD SCIENCES",

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Social Science Genetic Association Consortium, 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 2016, 'Genetic variants linked to education predict longevity', Proceedings of the National Academy of Sciences of the United States of America, vol. 113, no. 47, pp. 13366-13371. https://doi.org/10.1073/pnas.1605334113

TY - JOUR

T1 - Genetic variants linked to education predict longevity

AU - Social Science Genetic Association Consortium

AU - Marioni, R. E.

AU - Ritchie, S. J.

AU - Joshi, P. K.

AU - Hagenaars, S. P.

AU - Okbay, A.

AU - Fischer, K.

AU - Adams, M. J.

AU - Hill, W. D.

AU - Davies, G.

AU - Nagy, R.

AU - Amador, C.

AU - Läll, K.

AU - Metspalu, A.

AU - Lee, J. J.

AU - Rietveld, C. A.

AU - Meddens, S. F.

AU - Brandsma, J. H.

AU - Girotto, G.

AU - Liu, T.

AU - Miller, M. B.

AU - van der Most, P. J.

AU - Smith, A. V.

AU - Verweij, N.

AU - Westra, H. J.

AU - Yang, J.

AU - Zhao, W.

AU - Alizadeh, B. Z.

AU - Davies, G.

AU - de Jager, P. L.

AU - Joshi, P. K.

AU - Sanders, A. R.

AU - Schmidt, H.

AU - Smith, B. H.

AU - Smith, J. A.

AU - Vonk, J. M.

AU - Berger, K.

AU - Boomsma, D. I.

AU - Bultmann, U.

AU - Eriksson, J. G.

AU - Franke, L.

AU - van der Harst, P.

AU - Penninx, B. W.

AU - Posthuma, D.

AU - Schmidt, R.

AU - Wilson, J. F.

AU - Smith, G. D.

AU - Hofman, A.

AU - Meyer, M. N.

AU - Yang, J.

AU - Visscher, P. M.

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 - Education

KW - Genetics

KW - Longevity

KW - Polygenic score

KW - Prediction

U2 - 10.1073/pnas.1605334113

DO - 10.1073/pnas.1605334113

M3 - Article

C2 - 27799538

AN - SCOPUS:84996555363

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

Keywords

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