Home LiteratureArticle Details
PMID: 9433600 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Haplotype sharing analysis in affected individuals from nuclear families with at least one affected offspring.

Genetic epidemiology ·Vol. 14 ·No. 6 ·1997-00-00 ·Pages 915-20

Van der Meulen MA, te Meerman GJ

Abstract

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.

MeSH Terms
Chromosome Mapping Female Genetic Diseases, Inborn/genetics Genome, Human Haplotypes Humans Logistic Models Male Mutation Nuclear Family Predictive Value of Tests
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Van der Meulen M A
Department of Medical Genetics, University of Groningen, The Netherlands.
te Meerman G J
Article Info
Journal
Genetic epidemiology
Abbr.
Genet Epidemiol
ISSN
0741-0395
Published
1997-00-00
Pages
915-20
Language
English
Region
United States
NLM ID
8411723
Subset
IM
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]