| Literature DB >> 30659681 |
Sara Lindström1,2, Jennifer A Brody3, Constance Turman4, Marine Germain5, Traci M Bartz3,6, Erin N Smith7,8, Ming-Huei Chen9, Marja Puurunen10, Daniel Chasman11, Jeffrey Hassler2, Nathan Pankratz12, Saonli Basu13, Weihua Guan13, Beata Gyorgy14,15, Manal Ibrahim16,17,18, Jean-Philippe Empana19,20, Robert Olaso21, Rebecca Jackson22, Sigrid K Braekkan23, Barbara McKnight6, Jean-Francois Deleuze21, Cristopher J O'Donnell24, Xavier Jouven19,25, Kelly A Frazer7,8,26, Bruce M Psaty1,3,27,28, Kerri L Wiggins3, Kent Taylor29, Alexander P Reiner1, Susan R Heckbert1, Charles Kooperberg2, Paul Ridker11, John-Bjarne Hansen8,23, Weihong Tang30, Andrew D Johnson9, Pierre-Emmanuel Morange16,17,18, David A Trégouët5, Peter Kraft4,31, Nicholas L Smith1,28,32, Christopher Kabrhel33,34,35.
Abstract
Although recent Genome-Wide Association Studies have identified novel associations for common variants, there has been no comprehensive exome-wide search for low-frequency variants that affect the risk of venous thromboembolism (VTE). We conducted a meta-analysis of 11 studies comprising 8,332 cases and 16,087 controls of European ancestry and 382 cases and 1,476 controls of African American ancestry genotyped with the Illumina HumanExome BeadChip. We used the seqMeta package in R to conduct single variant and gene-based rare variant tests. In the single variant analysis, we limited our analysis to the 64,794 variants with at least 40 minor alleles across studies (minor allele frequency [MAF] ~0.08%). We confirmed associations with previously identified VTE loci, including ABO, F5, F11, and FGA. After adjusting for multiple testing, we observed no novel significant findings in single variant or gene-based analysis. Given our sample size, we had greater than 80% power to detect minimum odds ratios greater than 1.5 and 1.8 for a single variant with MAF of 0.01 and 0.005, respectively. Larger studies and sequence data may be needed to identify novel low-frequency and rare variants associated with VTE risk.Entities:
Keywords: exome; genetic association; venous thromboembolism
Mesh:
Year: 2019 PMID: 30659681 PMCID: PMC6520188 DOI: 10.1002/gepi.22187
Source DB: PubMed Journal: Genet Epidemiol ISSN: 0741-0395 Impact factor: 2.344