Abstract
To study the genetic basis of natural variation in gene expression, we previously carried out genome-wide linkage analysis and mapped the determinants of approximately 1,000 expression phenotypes. In the present study, we carried out association analysis with dense sets of single-nucleotide polymorphism (SNP) markers from the International HapMap Project. For 374 phenotypes, the association study was performed with markers only from regions with strong linkage evidence; these regions all mapped close to the expressed gene. For a subset of 27 phenotypes, analysis of genome-wide association was performed with >770,000 markers. The association analysis with markers under the linkage peaks confirmed the linkage results and narrowed the candidate regulatory regions for many phenotypes with strong linkage evidence. The genome-wide association analysis yielded highly significant results that point to the same locations as the genome scans for about 50% of the phenotypes. For one candidate determinant, we carried out functional analyses and confirmed the variation in cis-acting regulatory activity. Our findings suggest that association studies with dense SNP maps will identify susceptibility loci or other determinants for some complex traits or diseases.
MeSH Terms
Alleles
Chromatin Immunoprecipitation
Gene Expression Regulation/genetics
Genetic Markers/genetics
Genetic Predisposition to Disease/genetics
Genome, Human
Haplotypes
Humans
Phenotype
Polymorphism, Single Nucleotide/genetics
RNA Polymerase II/immunology,metabolism
Chemicals
Genetic Markers
RNA Polymerase II
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Cheung Vivian G
Department of Pediatrics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
[email protected]
Spielman Richard S
Ewens Kathryn G
Weber Teresa M
Morley Michael
Burdick Joshua T
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