| Literature DB >> 16963464 |
Abstract
In recent years, a very large variety of statistical methodologies, at various levels of complexity, have been put forward to analyse genotype data and detect genetic variations that may be responsible for increasing the susceptibility to disease. This review provides a concise account of a number of selected statistical methods for population-based association mapping, from single-marker tests of association to multi-marker data mining techniques for gene-gene interaction detection.Mesh:
Substances:
Year: 2006 PMID: 16963464 DOI: 10.1093/bib/bbl028
Source DB: PubMed Journal: Brief Bioinform ISSN: 1467-5463 Impact factor: 11.622