PuSH - Publikationsserver des Helmholtz Zentrums München

Export: TXT Text RIS Endnote (RIS) BIB BibTeX
Okbay, A.* ; Wu, Y.* ; Wang, N.* ; Jayashankar, H.* ; Bennett, M.J.* ; Nehzati, S.M.* ; Sidorenko, J.* ; Kweon, H.* ; Goldman, G.* ; Gjorgjieva, T.* ; Jiang, Y.* ; Hicks, B.* ; Tian, C.* ; Hinds, D.A.* ; Ahlskog, R.* ; Magnusson, P.K.E.* ; Oskarsson, S.* ; Hayward, C.* ; Campbell, A.* ; Porteous, D.J.* ; Freese, J.* ; Herd, P.* ; Watson, C.R.* ; Jala, J.* ; Conley, D.* ; Koellinger, P.D.* ; Johannesson, M.* ; Laibson, D.* ; Meyer, M.N.* ; Lee, J.J.* ; Kong, A.* ; Yengo, L.* ; Cesarini, D.* ; Turley, P.* ; Visscher, P.M.* ; Beauchamp, J.P.* ; Benjamin, D.J.* ; Young, A.I.* ; Social Science Genetic Association Consortium (Gieger, C. ; Baumbach, C. ; Meisinger, C. ; Meitinger, T. ; Lichtner, P. ; Strauch, K.)

Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals.

Nat. Genet. 54, 437-449 (2022)
Postprint Forschungsdaten DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
We conduct a genome-wide association study (GWAS) of educational attainment (EA) in a sample of ~3 million individuals and identify 3,952 approximately uncorrelated genome-wide-significant single-nucleotide polymorphisms (SNPs). A genome-wide polygenic predictor, or polygenic index (PGI), explains 12-16% of EA variance and contributes to risk prediction for ten diseases. Direct effects (i.e., controlling for parental PGIs) explain roughly half the PGI's magnitude of association with EA and other phenotypes. The correlation between mate-pair PGIs is far too large to be consistent with phenotypic assortment alone, implying additional assortment on PGI-associated factors. In an additional GWAS of dominance deviations from the additive model, we identify no genome-wide-significant SNPs, and a separate X-chromosome additive GWAS identifies 57.
Impact Factor
Scopus SNIP
Scopus
Cited By
Altmetric
41.307
6.722
23
Tags
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern

Zusatzinfos bearbeiten
Eigene Tags bearbeiten
Privat
Eigene Anmerkung bearbeiten
Privat
Auf Publikationslisten für
Homepage nicht anzeigen
Als besondere Publikation
markieren
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Sprache englisch
Veröffentlichungsjahr 2022
HGF-Berichtsjahr 2022
ISSN (print) / ISBN 1061-4036
e-ISSN 1546-1718
Zeitschrift Nature Genetics
Quellenangaben Band: 54, Heft: 4, Seiten: 437-449 Artikelnummer: , Supplement: ,
Verlag Nature Publishing Group
Verlagsort New York, NY
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology (EPI)
Institute of Human Genetics (IHG)
Institute of Genetic Epidemiology (IGE)
POF Topic(s) 30202 - Environmental Health
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504091-004
G-504000-006
G-500700-001
G-504100-001
Förderungen Riksbankens Jubileumsfond (Stiftelsen Riksbankens Jubileumsfond)
RCUK | Medical Research Council (MRC)
Genome Canada (Génome Canada)
Department of Education and Training | Australian Research Council (ARC)
Ragnar Söderbergs stiftelse (Ragnar Söderberg Foundation)
NIMH NIH HHS
U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging)
Department of Health | National Health and Medical Research Council (NHMRC)
NIA NIH HHS
DOI 10.1038/s41588-022-01016-z
PubMed ID 35361970
Erfassungsdatum 2022-05-24
[➜Korrektur melden]