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. Liewald; Archie Campbell; James F. Wilson; Caroline Hayward; Tõnu Esko; David J. Porteous; Catharine R. Gale; Ian J Deary; Social Science Genetic Association Consortium; Reka Nagy; Carmen Amador; Kristi Läll; Andres Metspalu; David Liewald; Archie Campbell; James F. Wilson; Caroline Hayward; Tonu Esko; David J. Porteous; Catherine V. Gale

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. Liewald, Archie Campbell, James F. Wilson, Caroline Hayward, Tõnu Esko, David J. Porteous, Catharine R. GaleIan J Deary, Social Science Genetic Association Consortium, Reka Nagy, Carmen Amador, Kristi Läll, Andres Metspalu, David Liewald, Archie Campbell, James F. Wilson, Caroline Hayward, Tonu Esko, David J. Porteous, Catherine V. Gale

Research output: Contribution to journal › Article › peer-review

Abstract / Description of output

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 increase in polygenic education score was associated with an approximately 2.7% reduced mortality risk for both mothers (total ndeaths = 79,702) and an approximately 2.4% reduced 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 years longer compared to 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 (PNAS)
Volume	113
Issue number	47
DOIs	https://doi.org/10.1073/pnas.1605334113
Publication status	Published - 22 Nov 2016

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10.1073/pnas.1605334113

Genetic variants linked to education predict longevityAccepted author manuscript, 63 KB

RA2661 Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2. Main Budget.
Deary, I., Gale, C., Holmes, M., Logie, P., Maclullich, A., Porteous, D., Seckl, J., Starr, J., Wardlaw, J. & Okely, J.
1/09/13 → 31/08/19
Project: Research
RA2662 Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2.
Porteous, D.
1/09/13 → 31/08/19
Project: Research
Genetics & healthcare initiative
Procter, R.
Other
1/11/05 → 31/10/08
Project: Research

Riccardo Marioni
- Deanery of Molecular, Genetic and Population Health Sciences - Personal Chair of Molecular Epidemiology of Ageing
- Centre for Genomic and Experimental Medicine
- Edinburgh Neuroscience
Person: Academic: Research Active

Cite this

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., Campbell, A., Wilson, J. F., Hayward, C., Esko, T., Porteous, D. J., ... Gale, C. V. (2016). Genetic variants linked to education predict longevity. Proceedings of the National Academy of Sciences (PNAS), 113(47), 13366-13371. https://doi.org/10.1073/pnas.1605334113

@article{716c562e240649988b837510d7136d3c,

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{\textquoteright} polygenic profile score for education to predict their parents{\textquoteright} longevity. Across the three cohorts, meta-analysis showed that a 1-SD increase in polygenic education score was associated with an approximately 2.7% reduced mortality risk for both mothers (total ndeaths = 79,702) and an approximately 2.4% reduced 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 years longer compared to 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.",

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.} 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} and {Social Science Genetic Association Consortium} and Reka Nagy and Carmen Amador and Kristi L{\"a}ll and Andres Metspalu and David Liewald and Archie Campbell and Wilson, {James F.} and Caroline Hayward and Tonu Esko and Porteous, {David J.} and Gale, {Catherine V.}",

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 (PNAS)",

issn = "0027-8424",

publisher = "National Academy of Sciences",

number = "47",

}

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, DC, Campbell, A , Wilson, JF , Hayward, C, Esko, T, Porteous, DJ, Gale, CR, Deary, IJ, Social Science Genetic Association Consortium, Nagy, R, Amador, C, Läll, K, Metspalu, A, Liewald, D, Campbell, A , Wilson, JF , Hayward, C, Esko, T, Porteous, DJ & Gale, CV 2016, 'Genetic variants linked to education predict longevity', Proceedings of the National Academy of Sciences (PNAS), 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 - 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.

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

AU - Social Science Genetic Association Consortium

AU - Nagy, Reka

AU - Amador, Carmen

AU - Läll, Kristi

AU - Metspalu, Andres

AU - Liewald, David

AU - Campbell, Archie

AU - Wilson, James F.

AU - Hayward, Caroline

AU - Esko, Tonu

AU - Porteous, David J.

AU - Gale, Catherine V.

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 increase in polygenic education score was associated with an approximately 2.7% reduced mortality risk for both mothers (total ndeaths = 79,702) and an approximately 2.4% reduced 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 years longer compared to 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 increase in polygenic education score was associated with an approximately 2.7% reduced mortality risk for both mothers (total ndeaths = 79,702) and an approximately 2.4% reduced 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 years longer compared to 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.

U2 - 10.1073/pnas.1605334113

DO - 10.1073/pnas.1605334113

M3 - Article

C2 - 27799538

SN - 0027-8424

VL - 113

SP - 13366

EP - 13371

JO - Proceedings of the National Academy of Sciences (PNAS)

JF - Proceedings of the National Academy of Sciences (PNAS)

IS - 47

ER -

Genetic variants linked to education predict longevity

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Projects

RA2661 Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2. Main Budget.

RA2662 Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2.

Genetics & healthcare initiative

Profiles

Riccardo Marioni

Cite this