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Statistical Challenges in Sequence-Based Association Studies with Population- and Family-Based Designs |
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| Authors: | Iuliana Ionita-Laza Michael H Cho Nan M Laird |
| Institution: | 1. Department of Biostatistics, Columbia University, New York, NY, 10032, USA 2. Channing Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, 02115, USA 3. Department of Biostatistics, Harvard University, Boston, MA, 02115, USA |
| Abstract: | Over the past few years, association analysis has become the primary tool for finding genes that underlie complex traits. Both population-based and family-based designs are commonly used designs in genetic association studies. Recent technological advances in exome and whole genome sequencing afford the next generation of sequence-based association studies. We review here recent developments in statistical methodology and remaining challenges related to sequence-based association studies with both population-based and family-based designs. |
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