TY - JOUR
T1 - On family-based genome-wide association studies with large pedigrees
T2 - Observations and recommendations
AU - Fardo, David W.
AU - Zhang, Xue
AU - Ding, Lili
AU - He, Hua
AU - Kurowski, Brad
AU - Alexander, Eileen S.
AU - Mersha, Tesfaye B.
AU - Pilipenko, Valentina
AU - Kottyan, Leah
AU - Nandakumar, Kannabiran
AU - Martin, Lisa
N1 - Publisher Copyright:
© 2014 Fardo et al.; licensee BioMed Central Ltd.
PY - 2014/6/17
Y1 - 2014/6/17
N2 - Family based association studies are employed less often than case-control designs in the search for disease-predisposing genes. The optimal statistical genetic approach for complex pedigrees is unclear when evaluating both common and rare variants. We examined the empirical power and type I error rates of 2 common approaches, the measured genotype approach and family-based association testing, through simulations from a set of multigenerational pedigrees. Overall, these results suggest that much larger sample sizes will be required for family-based studies and that power was better using MGA compared to FBAT. Taking into account computational time and potential bias, a 2-step strategy is recommended with FBAT followed by MGA.
AB - Family based association studies are employed less often than case-control designs in the search for disease-predisposing genes. The optimal statistical genetic approach for complex pedigrees is unclear when evaluating both common and rare variants. We examined the empirical power and type I error rates of 2 common approaches, the measured genotype approach and family-based association testing, through simulations from a set of multigenerational pedigrees. Overall, these results suggest that much larger sample sizes will be required for family-based studies and that power was better using MGA compared to FBAT. Taking into account computational time and potential bias, a 2-step strategy is recommended with FBAT followed by MGA.
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U2 - 10.1186/1753-6561-8-S1-S26
DO - 10.1186/1753-6561-8-S1-S26
M3 - Article
AN - SCOPUS:85018193042
SN - 1753-6561
VL - 8
JO - BMC Proceedings
JF - BMC Proceedings
M1 - S26
ER -