Summary statistics are available for download from the GWAS Catalog.
Genome-wide association study reveals dynamic role of genetic variation in infant and early childhood growth.
Helgeland Ø, et al.
Nat Commun. 2019 Oct 1;10(1):4448. doi: 10.1038/s41467-019-12308-0.
PMID: 31575865
Summary statistics are available for download from the GWAS Catalog.
Rare Genetic Variants of Large Effect Influence Risk of Type 1 Diabetes.
Forgetta V, et al.
Diabetes. 2020 Apr;69(4):784-795. doi: 10.2337/db19-0831.
PMID: 32005708
Summary statistics are available for download from the GWAS Catalog.
Meta-analysis of sub-Saharan African studies provides insights into genetic architecture of lipid traits.
Choudhury A, Brandenburg J-T, et al.
Nat Commun. 2022 May 11;13(1):2578. doi: 10.1038/s41467-022-30098-w.
PMID: 35546142
Summary statistics are available for download from the GWAS Catalog.
Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study.
Cai L, et al.
Sci Data. 2020 Nov 13;7(1):393. doi: 10.1038/s41597-020-00716-7.
PMID: 33188205
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
This dataset was generated by members of the Global Parkinson's Genetics Program (GP2). Find more information at the GP2 website. If you wish to publish analyses using these results, please see the GP2 publication policy.
Loci for insulin processing and secretion provide insight into type 2 diabetes risk.
Broadaway KA, et al.
Am J Hum Genet. 2023 Feb 2;110(2):284-299. doi: 10.1016/j.ajhg.2023.01.002.
PMID: 36693378
Summary statistics are available for download from the ReproGen Consortium website.
Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk.
First author, et al.
Nat Genet. 2017 Jun;49(6):834-841. doi: 10.1038/ng.3841.
PMID: 28436984
Summary statistics are available for download from the Early Growth Genetics Consortium website.
Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors.
Warrington NM, et al.
Nat Genet. 2019 May;51(5):804-814. doi: 10.1038/s41588-019-0403-1.
PMID: 31043758