Ordered subset analysis for case-control studies.
Ordered subset analysis for case-control studies.
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DOI：
10.1002/gepi.20489
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发表时间：
2010-07
影响因子：
2.1
通讯作者：
Schmidt, Silke
中科院分区：
文献类型：
--
作者：
Qin, Xuejun;Hauser, Elizabeth R.;Schmidt, Silke
Genetic heterogeneity, which may manifest on a population level as different frequencies of a specific disease susceptibility allele in different subsets of patients, is a common problem for candidate gene and genome-wide association studies of complex human diseases. The ordered subset analysis (OSA) was originally developed as a method to reduce genetic heterogeneity in the context of family-based linkage studies. Here, we have extended a previously proposed method (OSACC) for applying the OSA methodology to case-control datasets. We have evaluated the type I error and power of different OSACC permutation tests with an extensive simulation study. Case-control datasets were generated under two different models by which continuous clinical or environmental covariates may influence the relationship between susceptibility genotypes and disease risk. Our results demonstrate that OSACC is more powerful under some disease models than the commonly used trend test and a previously proposed joint test of main genetic and gene-environment interaction effects. An additional unique benefit of OSACC is its ability to identify a more informative subset of cases that may be subjected to more detailed molecular analysis, such as DNA sequencing of selected genomic regions to detect functional variants in linkage disequilibrium with the associated polymorphism. The OSACC-identified covariate threshold may also improve the power of an additional dataset to replicate previously reported associations that may only be detectable in a fraction of the original and replication datasets. In summary, we have demonstrated that OSACC is a useful method for improving SNP association signals in genetically heterogeneous datasets.
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DOI：
10.1002/ajmg.b.30771
发表时间：
2008-10-05
期刊：
American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics
影响因子：
--
作者：
Jacobson KC;Beseler CL;Lasky-Su J;Faraone SV;Glatt SJ;Kremen WS;Lyons MJ;Tsuang MT;Participants in the Collaborative Study on the Genetics of Alcoholism
通讯作者：
Participants in the Collaborative Study on the Genetics of Alcoholism
影响因子：
2
作者：
PIEGORSCH, WW;WEINBERG, CR;TAYLOR, JA
通讯作者：
TAYLOR, JA
影响因子：
9.8
作者：
Leal, SM;Ott, J
通讯作者：
Ott, J
影响因子：
1.9
作者：
Shah, S. H.;Kraus, W. E.;Hauser, E. R.
通讯作者：
Hauser, E. R.
影响因子：
158.5
作者：
Bouzigon, Emmanuelle;Corda, Eve;Demenais, Florence
通讯作者：
Demenais, Florence