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| Content Provider | PubMed Central |
|---|---|
| Author | Ghosh, Saurabh Bhattacharjee, Samsiddhi Basu, Gourab Pal, Sandip Majumder, Partha P. |
| Copyright Year | 2005 |
| Abstract | Multivariate phenotypes underlie complex traits. Thus, instead of using the end-point trait, it may be statistically more powerful to use a multivariate phenotype correlated to the end-point trait for detecting linkage. In this study, we develop a reverse regression method to analyze linkage of Kofendrerd Personality Disorder affection status in the New York population of the Genetic Analysis Workshop 14 (GAW14) simulated dataset. When we used the multivariate phenotype, we obtained significant evidence of linkage near four of the six putative loci in at least 25% of the replicates. On the other hand, the linkage analysis based on Kofendrerd Personality Disorder status as a phenotype produced significant findings only near two of the loci and in a smaller proportion of replicates. |
| Related Links | http://dx.doi.org/10.1186/1471-2156-6-s1-s19 |
| Starting Page | 19 |
| File Format | |
| ISSN | 14712156 |
| e-ISSN | 14712156 |
| Journal | BMC Genetics |
| Issue Number | Suppl 1 |
| Volume Number | 6 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2005-01-01 |
| Access Restriction | Open |
| Rights Holder | BioMed Central |
| Subject Keyword | Genetics(clinical) Genetics Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Genetics Genetics (clinical) |
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