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| Content Provider | PubMed Central |
|---|---|
| Author | Sinha, Samiran Gruber, Stephen B. Mukherjee, Bhramar Rennert, Gad |
| Copyright Year | 2008 |
| Abstract | Typically locus specific genotype data do not contain information regarding the gametic phase of haplotypes, especially when an individual is heterozygous at more than one locus among a large number of linked polymorphic loci. Thus, studying disease-haplotype association using unphased genotype data is essentially a problem of handling a missing covariate in a case-control design. There are several methods for estimating a disease-haplotype association parameter in a matched case-control study. Here we propose a conditional likelihood approach for inference regarding the disease-haplotype association using unphased genotype data arising from a matched case-control study design. The proposed method relies on a logistic disease risk model and a Hardy-Weinberg equilibrium (HWE) among the control population only. We develop an expectation and conditional maximization (ECM) algorithm for jointly estimating the haplotype frequency and the disease-haplotype association parameter(s). We apply the proposed method to analyze the data from the Alpha-Tocopherol, Beta-Carotene Cancer prevention study, and a matched case-control study of breast cancer patients conducted in Israel. The performance of the proposed method is evaluated via simulation studies. |
| Related Links | http://dx.doi.org/10.2202/1557-4679.1079 |
| Starting Page | 6 |
| File Format | |
| ISSN | 15574679 |
| e-ISSN | 15574679 |
| Journal | The International Journal of Biostatistics |
| Issue Number | 1 |
| Volume Number | 4 |
| Language | English |
| Publisher | Berkeley Electronic Press |
| Publisher Date | 2008-01-08 |
| Access Restriction | Open |
| Rights Holder | Berkeley Electronic Press |
| Subject Keyword | Statistics, Probability and Uncertainty Statistics and Probability Medicine(all) Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Statistics and Probability Medicine Statistics, Probability and Uncertainty |
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