title: Sifting the wheat from the chaff: prioritizing GWAS results by identifying consistency across analytical methods.
abstract: The curse of multiple testing has led to the adoption of a stringent Bonferroni threshold for declaring genome-wide statistical significance for any one SNP as standard practice. Although justified in avoiding false positives, this conservative approach has the potential to miss true associations as most studies are drastically underpowered. As an alternative to increasing sample size, we compare results from a typical SNP-by-SNP analysis with three other methods that incorporate regional information in order to boost or dampen an otherwise noisy signal: the haplotype method (Schaid et al. [2002] Am J Hum Genet 70:425-434), the gene-based method (Liu et al. [2010] Am J Hum Genet 87:139-145), and a new method (interaction count) that uses genome-wide screening of pairwise SNP interactions. Using a modestly sized case-control study, we conduct a genome-wide association studies (GWAS) of age-related macular degeneration, and find striking agreement across all methods in regions of known associated variants. We also find strong evidence of novel associated variants in two regions (Chromosome 2p25 and Chromosome 10p15) in which the individual SNP P-values are only suggestive, but where there are very high levels of agreement between all methods. We propose that consistency between different analysis methods may be an alternative to increasingly larger sample sizes in sifting true signals from noise in GWAS.
authors: School of Medicine and Public Health, University of Newcastle, Newcastle upon Tyne, United Kingdom. christoper.oldmeadow@newcastle.edu.au
authors: Christopher
authors: C
authors: Oldmeadow
authors: Carlos
authors: C
authors: Riveros
authors: Elizabeth G
authors: EG
authors: Holliday
authors: Rodney
authors: R
authors: Scott
authors: Pablo
authors: P
authors: Moscato
authors: Jie Jin
authors: JJ
authors: Wang
authors: Paul
authors: P
authors: Mitchell
authors: Gabrielle H S
authors: GH
authors: Buitendijk
authors: Johannes R
authors: JR
authors: Vingerling
authors: Caroline C W
authors: CC
authors: Klaver
authors: Ronald
authors: R
authors: Klein
authors: John
authors: J
authors: Attia
mesh_terms: D001315:Australia; D016022:Case-Control Studies; D002879:Chromosomes, Human, Pair 10; D002889:Chromosomes, Human, Pair 2; D055106:Genome-Wide Association Study / Q000379:methods / Q000706:statistics & numerical data*; D006239:Haplotypes / Q000235:genetics; D000074289:High-Temperature Requirement A Serine Peptidase 1; D006801:Humans; D016015:Logistic Models; D008268:Macular Degeneration / Q000235:genetics*; D008875:Middle Aged; D020641:Polymorphism, Single Nucleotide; D011506:Proteins / Q000235:genetics; D018401:Sample Size; D012697:Serine Endopeptidases / Q000235:genetics
chemical_list: C514392:ARMS2 protein, human; D011506:Proteins; D000074289:High-Temperature Requirement A Serine Peptidase 1; C474012:HTRA1 protein, human; D012697:Serine Endopeptidases