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Pregled bibliografske jedinice broj: 873155

Genetic variants linked to education predict longevity


Marioni, R.E.; ...; Polašek, Ozren; ...; Kolčić, Ivana; ...; Dearry, Ian
Genetic variants linked to education predict longevity // Proceedings of the National Academy of Sciences of the United States of America, 113 (2016), 47; 13366-13371 doi:10.1073/pnas.1605334113 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 873155 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Genetic variants linked to education predict longevity

Autori
Marioni, R.E. ; ... ; Polašek, Ozren ; ... ; Kolčić, Ivana ; ... ; Dearry, Ian

Izvornik
Proceedings of the National Academy of Sciences of the United States of America (0027-8424) 113 (2016), 47; 13366-13371

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
longevity, education, gene

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Temeljne medicinske znanosti, Kliničke medicinske znanosti, Javno zdravstvo i zdravstvena zaštita

Napomena
Social Science Genetic Association Consortium.



POVEZANOST RADA


Projekti:
216-1080315-0302 - Odrednice zdravlja i bolesti u općoj i izoliranim ljudskim populacijama (Polašek, Ozren, MZOS ) ( CroRIS)

Ustanove:
Medicinski fakultet, Split

Profili:

Avatar Url Ivana Kolčić (autor)

Avatar Url Ozren Polašek (autor)

Poveznice na cjeloviti tekst rada:

doi www.pnas.org

Citiraj ovu publikaciju:

Marioni, R.E.; ...; Polašek, Ozren; ...; Kolčić, Ivana; ...; Dearry, Ian
Genetic variants linked to education predict longevity // Proceedings of the National Academy of Sciences of the United States of America, 113 (2016), 47; 13366-13371 doi:10.1073/pnas.1605334113 (međunarodna recenzija, članak, znanstveni)
Marioni, R., ..., Polašek, O., ..., Kolčić, I., ... & Dearry, I. (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 doi:10.1073/pnas.1605334113.
@article{article, author = {Marioni, R.E. and Pola\v{s}ek, Ozren and Kol\v{c}i\'{c}, Ivana and Dearry, Ian}, year = {2016}, pages = {13366-13371}, DOI = {10.1073/pnas.1605334113}, keywords = {longevity, education, gene}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, doi = {10.1073/pnas.1605334113}, volume = {113}, number = {47}, issn = {0027-8424}, title = {Genetic variants linked to education predict longevity}, keyword = {longevity, education, gene} }
@article{article, author = {Marioni, R.E. and Pola\v{s}ek, Ozren and Kol\v{c}i\'{c}, Ivana and Dearry, Ian}, year = {2016}, pages = {13366-13371}, DOI = {10.1073/pnas.1605334113}, keywords = {longevity, education, gene}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, doi = {10.1073/pnas.1605334113}, volume = {113}, number = {47}, issn = {0027-8424}, title = {Genetic variants linked to education predict longevity}, keyword = {longevity, education, gene} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE
  • EconLit
  • Nature Index


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