Peer-Reviewed Journal Details
Mandatory Fields
Anney RJ, Kenny E, O'Dushlaine CT, Lasky-Su J, Franke B, Morris DW, Neale BM, Asherson P, Faraone SV, Gill M
2008
December
American Journal Of Medical Genetics. Part B: Neuropsychiatric Genetics
Non-random error in genotype calling procedures: implications for family-based and case-control genome-wide association studies.
Published
()
Optional Fields
147B
8
1379
1386
The considerable data-handling requirements for genome wide association studies (GWAS) prohibit individual calling of genotypes and create a reliance on sophisticated "genotype-calling algorithms." Despite their obvious utility, the current genotyping platforms and calling-algorithms used are not without their limitations. Specifically, some genotypes are not called due to the ambiguity of the data. Any bias in the missing data could create spurious results. Using data from the Genetic Analysis Information Network (GAIN) we observed that missing genotypes are not randomly distributed throughout the homozygous and heterozygous groups. Using simulation, we examined whether the level and type of missingness observed might influence deviation from the null-hypothesis under common case-control and family-based statistical approaches. Under a case-control model, where missingness is present in a case group but not the controls, we observed bias giving rise to genome-wide significant type-I error for missingness as low as 3%. The family-based association simulations show close to nominal type-I error at 4% genotype missingness. These findings have important implications to study design, quality-control procedures and reporting of findings in GWAS.
http://www.ncbi.nlm.nih.gov/pubmed/18663727
10.1002/ajmg.b.30836
Grant Details
Publication Themes