A genome-wide meta-analysis of six type 1 diabetes cohorts identifies multiple associated loci
A genome-wide meta-analysis of six type 1 diabetes cohorts identifies multiple associated loci
About this item
Full title
Author / Creator
Bradfield, Jonathan P , Qu, Hui-Qi , Wang, Kai , Zhang, Haitao , Sleiman, Patrick M , Kim, Cecilia E , Mentch, Frank D , Qiu, Haijun , Glessner, Joseph T , Thomas, Kelly A , Frackelton, Edward C , Chiavacci, Rosetta M , Imielinski, Marcin , Monos, Dimitri S , Pandey, Rahul , Bakay, Marina , Grant, Struan F A , Polychronakos, Constantin and Hakonarson, Hakon
Publisher
United States: Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
United States: Public Library of Science
Subjects
More information
Scope and Contents
Contents
Diabetes impacts approximately 200 million people worldwide, of whom approximately 10% are affected by type 1 diabetes (T1D). The application of genome-wide association studies (GWAS) has robustly revealed dozens of genetic contributors to the pathogenesis of T1D, with the most recent meta-analysis identifying in excess of 40 loci. To identify addi...
Alternative Titles
Full title
A genome-wide meta-analysis of six type 1 diabetes cohorts identifies multiple associated loci
Authors, Artists and Contributors
Author / Creator
Qu, Hui-Qi
Wang, Kai
Zhang, Haitao
Sleiman, Patrick M
Kim, Cecilia E
Mentch, Frank D
Qiu, Haijun
Glessner, Joseph T
Thomas, Kelly A
Frackelton, Edward C
Chiavacci, Rosetta M
Imielinski, Marcin
Monos, Dimitri S
Pandey, Rahul
Bakay, Marina
Grant, Struan F A
Polychronakos, Constantin
Hakonarson, Hakon
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_plos_journals_1313513535
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1313513535
Other Identifiers
ISSN
1553-7404,1553-7390
E-ISSN
1553-7404
DOI
10.1371/journal.pgen.1002293
