A powerful approach to sub-phenotype analysis in population-based genetic association studies.
The ultimate goal of genome-wide association (GWA) studies is to identify genetic variants contributing effects to complex phenotypes in order to improve our understanding of the biological architecture underlying the trait. One approach to allow us to meet this challenge is to consider more refined...
| 主要な著者: | , , , , , , |
|---|---|
| フォーマット: | Journal article |
| 言語: | English |
| 出版事項: |
2010
|