Fat distribution 2022 GWAS: trans-ancestry
Publications
Inherited basis of visceral, abdominal subcutaneous and gluteofemoral fat depots.
Agrawal S, et al.
Nat Commun. 2022 Jun 30;13(1):3771. doi:10.1038/s41467-022-30931-2.
PMID: 35773277
Inherited basis of visceral, abdominal subcutaneous and gluteofemoral fat depots.
Agrawal S, et al.
Nat Commun. 2022 Jun 30;13(1):3771. doi:10.1038/s41467-022-30931-2.
PMID: 35773277
Summary statistics are available for download from the GWAS Catalog.
Genome-Wide Association Study of NAFLD Using Electronic Health Records.
Fairfield CJ, et al.
Hepatol Commun. 2022 Feb;6(2):297-308. doi:10.1002/hep4.1805.
PMID: 34535985
Summary statistics are available for download from the GWAS Catalog.
Whole-exome imputation within UK Biobank powers rare coding variant association and fine-mapping analyses.
Barton AR, et al.
Nat Genet. 2021 Aug;53(8):1260-1269. doi: 10.1038/s41588-021-00892-1.
PMID: 34226706
Summary statistics are provided for download by the authors.
Genetics of 35 blood and urine biomarkers in the UK Biobank.
Sinnott-Armstrong N, et al.
Nat Genet. 2021 Feb;53(2):185-194. doi: 10.1038/s41588-020-00757-z.
PMID: 33462484
Summary statistics are available for download from the GWAS Catalog.
Identification and functional characterization of G6PC2 coding variants influencing glycemic traits define an effector transcript at the G6PC2-ABCB11 locus.
Mahajan A, et al.
PLoS Genet. 2015 Jan 27;11(1):e1004876. doi: 10.1371/journal.pgen.1004876.
PMID: 25625282
Summary statistics are available for download from the GWAS Catalog.
Identification and functional analysis of glycemic trait loci in the China Health and Nutrition
Survey.
Spracklen CN, et al.
PLoS Genet. 2018 Apr 5;14(4):e1007275. doi:10.1371/journal.pgen.1007275.
PMID: 29621232
Recessive Genome-Wide Meta-analysis Illuminates Genetic Architecture of Type 2 Diabetes.
O'Connor MJ, et al.
Diabetes. 2022 Mar 1;71(3):554-565. doi:10.2337/db21-0545.
PMID: 34862199
Summary statistics are available for download from the GWAS Catalog.
Genetic analyses of diverse populations improves discovery for complex traits.
Wojcik GL, et al.
Nature. 2019 Jun;570(7762):514-518. doi:10.1038/s41586-019-1310-4.
PMID: 31217584
Summary statistics are available for download from the Genes & Health website.
Using deep learning to predict abdominal age from liver and pancreas magnetic resonance images.
Le Goallec A, et al.
Nat Commun. 2022 Apr 13;13(1):1979. doi: 10.1038/s41467-022-29525-9.
PMID: 35418184