Journal
AMERICAN JOURNAL OF HUMAN GENETICS
Volume 71, Issue 3, Pages 575-584Publisher
CELL PRESS
DOI: 10.1086/342406
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Funding
- NHLBI NIH HHS [HR16040, HL66383] Funding Source: Medline
- NIMH NIH HHS [R01 MH059532, MH59532] Funding Source: Medline
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Using large-sample theory, we present a unified approach to power calculations for family-based association tests. Currently available methods for power calculations are restricted to special designs or require approximations or simulations. Our analytical approach to power calculations is broadly applicable in many settings. We discuss power calculations for two scenarios that have high practical relevance and in which power previously could only be assessed by simulation studies or by approximations: (1) studies using both affected and unaffected offspring and (2) studies with missing parental information. When the population prevalence is high, it can be worthwhile to genotype unaffected offspring. For many scenarios, high power can be achieved with reasonable sample sizes, even when no parental information is available.
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