Identification of non-HLA genes associated with development of islet autoimmunity and type 1 diabetes in the prospective TEDDY cohort.
Sharma A, et al.
J Autoimmun. 2018 May;89:90-100. doi: 10.1016/j.jaut.2017.12.008.
PMID:29310926
Can Non-HLA Single Nucleotide Polymorphisms Help Stratify Risk in TrialNet Relatives at Risk for Type 1 Diabetes?
Steck AK, et al.
J Clin Endocrinol Metab. 2017 Aug 1;102(8):2873-2880. doi: 10.1210/jc.2016-4003.
PMID:28520980
Summary statistics are available for download from Figshare.
Download summary statistics:
Single item chronotype
Binary sMEQ score
Continuous sMEQ score
README
Summary statistics are available for download from the GWAS Catalog.
Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women.
Jones G, Trajanoska K, Santanasto AJ, Stringa N, Kuo C-L, Atkins JL, et al.
Nat Commun. 2021 Jan 28;12(1):654. doi: 10.1038/s41467-021-20918-w.
PMID:33510174
Summary statistics are available for download from the GWAS Catalog.
Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women.
Jones G, Trajanoska K, Santanasto AJ, Stringa N, Kuo C-L, Atkins JL, et al.
Nat Commun. 2021 Jan 28;12(1):654. doi: 10.1038/s41467-021-20918-w.
PMID:33510174
Summary statistics are available for download from the GWAS Catalog.
Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women.
Jones G, Trajanoska K, Santanasto AJ, Stringa N, Kuo C-L, Atkins JL, et al.
Nat Commun. 2021 Jan 28;12(1):654. doi: 10.1038/s41467-021-20918-w.
PMID:33510174
View a video from Hyungkyung Kim explaining how to navigate the Genetic Loci Clustering interfaces:
I) Pipeline for input matrix for clustering
View a video from Hyungkyung Kim explaining how to navigate the Genetic Loci Clustering interfaces:
This interface presents results from a meta-analysis of type 2 diabetes genetic associations from exome sequencing data for 86,254 samples (29,434 T2D cases and 56,820 controls). The analysis was performed by Laura Raffield, Yin Xianyong, Andrew Ruttenberg, Peter Dornbos, Ryan Koesterer, and Jason Flannick.