title: A method for estimating penetrance from families sampled for linkage analysis.
abstract: When a gene variant is discovered to segregate with a disease, it may be of interest to estimate the risk (or the age-specific risk) of the disease to carriers of the variant. The families that contributed to the discovery of the variant would typically contain multiple carriers, and so, especially if the variant is rare, might prove a valuable source of study subjects for estimation of the risk. These families, by virtue of having brought the gene in question to the attention of researchers, however, may not be representative of the relationship between carrier status and the risk of the disease in the population. Using these families for risk estimation could bias the observed association between the variant and the risk. The purpose here is to present an approach to adjusting for the potential bias while using the families from linkage analysis to estimate the risk.
authors.affiliation: Department of Statistics, Columbia University, New York, New York 10027, USA. wang@stat.columbia.edu
authors.forename: Yuanjia
authors.initials: Y
authors.lastname: Wang
authors.forename: Ruth
authors.initials: R
authors.lastname: Ottman
authors.forename: Daniel
authors.initials: D
authors.lastname: Rabinowitz
mesh_terms: D017668:Age of Onset; D015982:Bias; D001699:Biometry; D004833:Epilepsy, Temporal Lobe / Q000235:genetics; D005260:Female; D008040:Genetic Linkage; D006579:Heterozygote; D006801:Humans; D008297:Male; D008957:Models, Genetic; D015233:Models, Statistical; D010375:Pedigree; D019683:Penetrance; D012306:Risk