PuSH - Publikationsserver des Helmholtz Zentrums München

Export: TXT Text RIS Endnote (RIS) BIB BibTeX
Hara, K.* ; Fujita, H.* ; Johnson, T.A.* ; Yamauchi, T.* ; Yasuda, K.* ; Horikoshi, M.* ; Peng, C.* ; Hu, C.* ; Ma, R.C.* ; Imamura, M.* ; Iwata, M.* ; Tsunoda, T.* ; Morizono, T.* ; Shojima, N.* ; So, W.Y.* ; Leung, T.F.* ; Kwan, P.* ; Zhang, R.* ; Wang, J.* ; Yu, W.* ; Maegawa, H.* ; Hirose, H.* ; DIAGRAM Consortium (Huth, C. ; Gieger, C. ; Klopp, N. ; Meitinger, T. ; Illig, T. ; Grallert, H. ; Thorand, B. ; Wichmann, H.-E. ; Petersen, A.-K.) ; Kaku, K.* ; Ito, C.* ; Watada, H.* ; Tanaka, Y.* ; Tobe, K.* ; Kashiwagi, A.* ; Kawamori, R.* ; Jia, W.* ; Chan, J.C.* ; Teo, Y.Y.* ; Shyong, T.E.* ; Kamatani, N.* ; Kubo, M.* ; Maeda, S.* ; Kadowaki, T.*

Genome-wide association study identifies three novel loci for type 2 diabetes.

Hum. Mol. Genet. 23, 239-246 (2014)
Verlagsversion Volltext DOI PMC
Closed
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Although over 60 loci for type 2 diabetes (T2D) have been identified, there still remains a large genetic component to be clarified. To explore unidentified loci for T2D, we performed a genome-wide association study (GWAS) of 6 209 637 single-nucleotide polymorphisms (SNPs), which were directly genotyped or imputed using East Asian references from the 1000 Genomes Project (June 2011 release) in 5976 Japanese patients with T2D and 20 829 nondiabetic individuals. Nineteen unreported loci were selected and taken forward to follow-up analyses. Combined discovery and follow-up analyses (30 392 cases and 34 814 controls) identified three new loci with genome-wide significance, which were MIR129-LEP [rs791595; risk allele = A; risk allele frequency (RAF) = 0.080; P = 2.55 × 10(-13); odds ratio (OR) = 1.17], GPSM1 [rs11787792; risk allele = A; RAF = 0.874; P = 1.74 × 10(-10); OR = 1.15] and SLC16A13 (rs312457; risk allele = G; RAF = 0.078; P = 7.69 × 10(-13); OR = 1.20). This study demonstrates that GWASs based on the imputation of genotypes using modern reference haplotypes such as that from the 1000 Genomes Project data can assist in identification of new loci for common diseases.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
7.692
1.583
115
119
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
Schlagwörter East-asian Populations; Susceptibility Loci; Insulin-resistance; Beta-cell; Variants; Transporters; Metaanalysis; Mellitus; Diseases; Obesity
Sprache englisch
Veröffentlichungsjahr 2014
Prepublished im Jahr 2013
HGF-Berichtsjahr 2013
ISSN (print) / ISBN 0964-6906
e-ISSN 1460-2083
Zeitschrift Human Molecular Genetics
Quellenangaben Band: 23, Heft: 1, Seiten: 239-246 Artikelnummer: , Supplement: ,
Verlag Oxford University Press
Verlagsort Oxford
Begutachtungsstatus Peer reviewed
Institut(e) Research Unit Molecular Epidemiology (AME)
Institute of Epidemiology (EPI)
Institute of Genetic Epidemiology (IGE)
Institute of Human Genetics (IHG)
German Center for Diabetes Reseach (DZD)
POF Topic(s) 30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
90000 - German Center for Diabetes Research
30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504200-002
G-501900-401
G-504091-002
G-504100-001
G-500700-001
G-504000-002
G-503900-002
PubMed ID 23945395
DOI 10.1093/hmg/ddt399
WOS ID WOS:000328482300019
Erfassungsdatum 2013-11-06
[➜Korrektur melden]