Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
8086596
TITLE
A class of tests for linkage using affected pedigree members.
ABSTRACT
We describe a class of nonparametric tests for linkage between a marker and a gene assumed to exist and to govern susceptibility to a disease. The tests are formed by assigning a score to each possible pattern of marker allele sharing (identity-by-descent) among affected pedigree members, and then averaging the scores over all patterns compatible with the observed marker genotype and genealogical relationship of the affected members. Different score functions give different tests. One function, which examines marker allele similarity across pairs of affected pedigree members, gives a test similar to that of Fimmers et al. (1989, in Multipoint Mapping and Linkage Based on Affected Pedigree Members: Genetic Analysis Workshop, R. C. Elston, M. A. Spence, S. E. Hodge, and J. W. MacCluer (eds), 123-128; City: Alan R. Liss). A second function examines allele similarity across arbitrary subsets, not just pairs, of affected members. The resulting test can be more powerful than the one based solely on pairs of affected members. The approach has several advantages: it does not require knowledge of the mode of disease inheritance; it does not require unambiguous determination of identity-by-descent at the marker; it does not suffer from variability due to chance allele similarity among affected members who are unrelated, such as spouses; it allows marker genotypes of unaffected members to contribute information on allele sharing among the affected; it permits calculation of exact P-values. Computational requirements limit the tests to many pedigrees with few (< 16) affected members.
DATE PUBLISHED
1994 Mar
HISTORY
PUBSTATUS PUBSTATUSDATE
pubmed 1994/03/01
medline 1994/03/01 00:01
entrez 1994/03/01 00:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Whittemore AS Whittemore A S AS Department of Health Research and Policy, Stanford University School of Medicine, California 94305.
Halpern J Halpern J J
INVESTIGATORS
JOURNAL
VOLUME: 50
ISSUE: 1
TITLE: Biometrics
ISOABBREVIATION: Biometrics
YEAR: 1994
MONTH: Mar
DAY:
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Print
ISSN: 0006-341X
ISSNTYPE: Print
MEDLINE JOURNAL
MEDLINETA: Biometrics
COUNTRY: United States
ISSNLINKING: 0006-341X
NLMUNIQUEID: 0370625
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
Research Support, U.S. Gov't, P.H.S.
COMMENTS AND CORRECTIONS
GRANTS
GRANTID AGENCY COUNTRY
CA 47448 NCI NIH HHS United States
GM 21215 NIGMS NIH HHS United States
GENERAL NOTE
KEYWORDS
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Alleles
Biometry methods
Female methods
Genes, Dominant methods
Genes, Recessive methods
Genetic Linkage methods
Genetic Markers methods
Genetic Techniques methods
Humans methods
Lod Score methods
Male methods
Models, Genetic methods
Models, Statistical methods
Pedigree methods
Recombination, Genetic methods
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
REGISTRYNUMBER NAMEOFSUBSTANCE
0 Genetic Markers
OTHER ID's