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Using gene expression to improve the power of genome-wide association analysis.
- Source :
-
Human heredity [Hum Hered] 2014; Vol. 78 (2), pp. 94-103. Date of Electronic Publication: 2014 Jul 30. - Publication Year :
- 2014
-
Abstract
- Background/aims: Genome-wide association (GWA) studies have reported susceptible regions in the human genome for many common diseases and traits; however, these loci only explain a minority of trait heritability. To boost the power of a GWA study, substantial research endeavors have been focused on integrating other available genomic information in the analysis. Advances in high through-put technologies have generated a wealth of genomic data and made combining SNP and gene expression data become feasible.<br />Results: In this paper, we propose a novel procedure to incorporate gene expression information into GWA analysis. This procedure utilizes weights constructed by gene expression measurements to adjust p values from a GWA analysis. RESULTS from simulation analyses indicate that the proposed procedures may achieve substantial power gains, while controlling family-wise type I error rates at the nominal level. To demonstrate the implementation of our proposed approach, we apply the weight adjustment procedure to a GWA study on serum interferon-regulated chemokine levels in systemic lupus erythematosus patients. The study results can provide valuable insights for the functional interpretation of GWA signals.<br />Availability: The R source code for implementing the proposed weighting procedure is available at http://www.biostat.umn.edu/∼yho/research.html.
- Subjects :
- Biomarkers blood
Chemokine CCL19 blood
Chemokine CCL2 blood
Chemokine CXCL10 blood
Computer Simulation
Female
Genome, Human
Humans
Lupus Erythematosus, Systemic blood
Male
Polymorphism, Single Nucleotide
White People genetics
Gene Expression
Genome-Wide Association Study
Lupus Erythematosus, Systemic genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1423-0062
- Volume :
- 78
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Human heredity
- Publication Type :
- Academic Journal
- Accession number :
- 25096029
- Full Text :
- https://doi.org/10.1159/000362837