title: Evaluation of coverage variation of SNP chips for genome-wide association studies.
abstract: Genome-wide association (GWA) studies for complex human diseases are now feasible. Many GWA studies rely on commercial SNP chips, for which a common evaluation criterion is global coverage of the genome. Although providing an overall evaluation of an SNP chip, the global coverage does not tell us how the coverage varies across the genome, an important feature that should be taken into consideration, as coverage variation often results in power variation and potentially biased search in subsequent association analysis. To achieve a fuller understanding of SNP chip coverage, we conducted detailed evaluation of coverage, including (1) a map of local coverage - calculated over small consecutive genomic regions and (2) gene coverage - calculated for each known gene in the genome. These evaluations can reveal the degree of variation of each SNP chip in covering the genome and can facilitate SNP chip comparisons at a finer scale.
authors.affiliation: Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA. mingyao@mail.med.upenn.edu
authors.forename: Mingyao
authors.initials: M
authors.lastname: Li
authors.forename: Chun
authors.initials: C
authors.lastname: Li
authors.forename: Weihua
authors.initials: W
authors.lastname: Guan
mesh_terms: D002877:Chromosomes, Human / Q000235:genetics; D030541:Databases, Genetic; D015894:Genome, Human / Q000235:genetics*; D006239:Haplotypes; D006801:Humans; D015810:Linkage Disequilibrium; D020411:Oligonucleotide Array Sequence Analysis / Q000592:standards / Q000706:statistics & numerical data; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*