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Haplotype sharing analysis in affected individuals from nuclear families with at least one affected offspring
Author(s) -
Van der Meulen Martin A.,
te Meerman Gerard J.
Publication year - 1997
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/(sici)1098-2272(1997)14:6<915::aid-gepi59>3.0.co;2-p
Subject(s) - haplotype , statistic , nuclear family , biology , population , offspring , genetics , population stratification , evolutionary biology , demography , statistics , gene , mathematics , allele , genotype , single nucleotide polymorphism , pregnancy , sociology , anthropology
In diseases with a complex mode of inheritance, families with multiple affected individuals are difficult to ascertain. The haplotype sharing statistic (HSS) uses (hidden) co‐ancestry between affected individuals from a founder population. These affected individuals will likely not only share the same mutation(s), but also the surrounding haplotype. We show that this method gives a low false positive rate, but does not detect genes in the nuclear families of Problem 2A of the GAW data. We also give evidence based on simulations and empirical studies in real population based data that the HSS method has statistical power. © 1997 Wiley‐Liss, Inc.