Copyright © 2008 The American Society of Human Genetics. All rights reserved.
The American Journal of Human Genetics, Volume 82, Issue 5, 1193-1201, 24 April 2008
doi:10.1016/j.ajhg.2008.03.017
Report
Alexander P. Reiner1,
,
, Mathew J. Barber2, Yongtao Guan2, Paul M. Ridker3, Leslie A. Lange4, Daniel I. Chasman3, Jeremy D. Walston5, Gregory M. Cooper6, Nancy S. Jenny7, Mark J. Rieder6, J. Peter Durda7, Joshua D. Smith6, John Novembre2, Russell P. Tracy7, Jerome I. Rotter8, Matthew Stephens2, Deborah A. Nickerson6 and Ronald M. Krauss9
1 University of Washington, Department of Epidemiology, Seattle, WA 98195, USA
2 University of Chicago, Department of Statistics, Chicago, IL 60637, USA
3 Center for Cardiovascular Disease Prevention, Brigham and Women's Hospital, Boston, MA 02215, USA
4 Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
5 Department of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA
6 University of Washington Department of Genome Sciences, Seattle, WA 98195, USA
7 Department of Pathology, University of Vermont College of Medicine, Burlington, VT 05446, USA
8 Medical Genetics Institute, Cedars-Sinai Medical Center West Los Angeles, CA 90048-1804, USA
9 Children's Hospital Oakland Research Institute, Oakland, CA 94609, USA
Corresponding authorAbstract
Data from the Pharmacogenomics and Risk of Cardiovascular Disease (PARC) study and the Cardiovascular Health Study (CHS) provide independent and confirmatory evidence for association between common polymorphisms of the HNF1A gene encoding hepatocyte nuclear factor-1α and plasma C-reactive protein (CRP) concentration. Analyses with the use of imputation-based methods to combine genotype data from both studies and to test untyped SNPs from the HapMap database identified several SNPs within a 5 kb region of HNF1A intron 1 with the strongest evidence of association with CRP phenotype.
| Evaluating the Effects of Imputation on the Power, Coverage, and Cost Efficiency of Genome-wide SNP Platforms The American Journal of Human Genetics, Volume , Issue , 26 June 2008, Pages Carl A. Anderson, Fredrik H. Pettersson, Jeffrey C. Barrett, Joanna J. Zhuang, Jiannis Ragoussis, Lon R. Cardon and Andrew P. Morris Abstract Genotype imputation is potentially a zero-cost method for bridging gaps in coverage and power between genotyping platforms. Here, we quantify these gains in power and coverage by using 1,376 population controls that are from the 1958 British Birth Cohort and were genotyped by the Wellcome Trust Case-Control Consortium with the Illumina HumanHap 550 and Affymetrix SNP Array 5.0 platforms. Approximately 50% of genotypes at single-nucleotide polymorphisms (SNPs) exclusively on the HumanHap 550 can be accurately imputed from direct genotypes on the SNP Array 5.0 or Illumina HumanHap 300. This roughly halves differences in coverage and power between the platforms. When the relative cost of currently available genome-wide SNP platforms is accounted for, and finances are limited but sample size is not, the highest-powered strategy in European populations is to genotype a larger number of individuals with the HumanHap 300 platform and carry out imputation. Platforms consisting of around 1 million SNPs offer poor cost efficiency for SNP association in European populations. Abstract | | |
| Localization of a Type 1 Diabetes Locus in the IL2RA/CD25 Region by Use of Tag Single-Nucleotide Polymorphisms The American Journal of Human Genetics, Volume 76, Issue 5, 1 May 2005, Pages 773-779 Adrian Vella, Jason D. Cooper, Christopher E. Lowe, Neil Walker, Sarah Nutland, Barry Widmer, Richard Jones, Susan M. Ring, Wendy McArdle, Marcus E. Pembrey, David P. Strachan, David B. Dunger, C.J. Rebecca Twells, David G. Clayton and John A. Todd Abstract As part of an ongoing search for genes associated with type 1 diabetes (T1D), a common autoimmune disease, we tested the biological candidate gene IL2RA (CD25), which encodes a subunit (IL-2Rα) of the high-affinity interleukin-2 (IL-2) receptor complex. We employed a tag single-nucleotide polymorphism (tag SNP) approach in large T1D sample collections consisting of 7,457 cases and controls and 725 multiplex families. Tag SNPs were analyzed using a multilocus test to provide a regional test for association. We found strong statistical evidence in the case-control collection (P=6.5×10−8) for a T1D locus in the CD25 region of chromosome 10p15 and replicated the association in the family collection (P=7.3×10−3; combined P=1.3×10−10). These results illustrate the utility of tag SNPs in a chromosome-regional test of disease association and justify future fine mapping of the causal variant in the region. Abstract | | |