Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variant...
Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits
About this item
Full title
Author / Creator
Yang, Jian , Ferreira, Teresa , Morris, Andrew P , Medland, Sarah E , Madden, Pamela A F , Heath, Andrew C , Martin, Nicholas G , Montgomery, Grant W , Weedon, Michael N , Loos, Ruth J , Frayling, Timothy M , McCarthy, Mark I , Hirschhorn, Joel N , Goddard, Michael E , Visscher, Peter M , DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium and Genetic Investigation of ANthropometric Traits (GIANT) Consortium
Publisher
New York: Nature Publishing Group US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Nature Publishing Group US
Subjects
More information
Scope and Contents
Contents
Peter Visscher and colleagues report a new method for approximate conditional and joint association analysis that makes use of summary statistics from meta-analysis of GWAS. They apply this to meta-analysis summary data for height, body mass index and type 2 diabetes.
We present an approximate conditional and joint association analysis that can...
Alternative Titles
Full title
Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits
Authors, Artists and Contributors
Author / Creator
Ferreira, Teresa
Morris, Andrew P
Medland, Sarah E
Madden, Pamela A F
Heath, Andrew C
Martin, Nicholas G
Montgomery, Grant W
Weedon, Michael N
Loos, Ruth J
Frayling, Timothy M
McCarthy, Mark I
Hirschhorn, Joel N
Goddard, Michael E
Visscher, Peter M
DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium
Genetic Investigation of ANthropometric Traits (GIANT) Consortium
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3593158
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3593158
Other Identifiers
ISSN
1061-4036
E-ISSN
1546-1718
DOI
10.1038/ng.2213
