A comparative analysis of family-based and population-based association tests using whole genome sequence data
The revolution in next-generation sequencing has made obtaining both common and rare high-quality sequence variants across the entire genome feasible. Because researchers are now faced with the analytical challenges of handling a massive amount of genetic variant information from sequencing studies,...
Main Authors: | Zhou, Jin, Yip, Wai-Ki, Cho, Michael, Qiao, Dandi, McDonald, Merry-Lynn, Laird, Nan |
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Other Authors: | Biostatistics Department, Harvard School of Public Health, Boston, MA 02115 USA |
Language: | en |
Published: |
BioMed Central
2014
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Online Access: | Zhou et al. BMC Proceedings 2014, 8(Suppl 1):S33 http://www.biomedcentral.com/1753-6561/8/S1/S33 http://hdl.handle.net/10150/610090 http://arizona.openrepository.com/arizona/handle/10150/610090 |
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