A comparative analysis of family-based and population-based association tests using whole genome sequence data

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,...

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Bibliographic Details
Main Authors: Zhou, Jin, Yip, Wai-Ki, Cho, Michael, Qiao, Dandi, McDonald, Merry-Lynn, Laird, Nan
Other Authors: Biostatistics Department, Harvard School of Public Health, Boston, MA 02115 USA
Language:en
Published: BioMed Central 2014
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

Internet

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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