GWAMA: software for genome-wide association meta-analysis
<p style="text-align:justify;"> <b>Background:</b> Despite the recent success of genome-wide association studies in identifying novel loci contributing effects to complex human traits, such as type 2 diabetes and obesity, much of the genetic component of variation in the...
| Автори: | , |
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| Формат: | Journal article |
| Мова: | English |
| Опубліковано: |
BioMed Central
2010
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