Power calculations for a general class of tests of linkage and association that use nuclear families with affected and unaffected sibs

Norman L. Kaplan; Eden R. Martin

doi:10.1006/tpbi.2001.1541

Power calculations for a general class of tests of linkage and association that use nuclear families with affected and unaffected sibs

Norman L. Kaplan, Eden R. Martin

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

Family-based tests of association are now often used when trying to fine-map a disease susceptibility locus. Recently, several tests of linkage and association have been proposed that use nuclear families with multiple affected and unaffected sibs rather than just case-parent triads. In this paper we propose a test that generalizes these previous tests. Formulae are derived to calculate the power of the test for a randomly mating population. These power calculations are used to determine conditions under which it is advantageous to include unaffected sibs in the analysis.

Original language	English (US)
Pages (from-to)	193-201
Number of pages	9
Journal	Theoretical Population Biology
Volume	60
Issue number	3
DOIs	https://doi.org/10.1006/tpbi.2001.1541
State	Published - 2001
Externally published	Yes

Keywords

Association
Linkage disequilibrium
Nuclear families
TDT

ASJC Scopus subject areas

Agricultural and Biological Sciences(all)
Ecology, Evolution, Behavior and Systematics

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title = "Power calculations for a general class of tests of linkage and association that use nuclear families with affected and unaffected sibs",

abstract = "Family-based tests of association are now often used when trying to fine-map a disease susceptibility locus. Recently, several tests of linkage and association have been proposed that use nuclear families with multiple affected and unaffected sibs rather than just case-parent triads. In this paper we propose a test that generalizes these previous tests. Formulae are derived to calculate the power of the test for a randomly mating population. These power calculations are used to determine conditions under which it is advantageous to include unaffected sibs in the analysis.",

keywords = "Association, Linkage disequilibrium, Nuclear families, TDT",

author = "Kaplan, {Norman L.} and Martin, {Eden R.}",

note = "Funding Information: This work was supported in part by funding from the Morris K. Undall Parkinson Disease Center of Research Excellence (NS39764-02) and a grant from NIMH (MH59528).",

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AU - Kaplan, Norman L.

AU - Martin, Eden R.

N1 - Funding Information: This work was supported in part by funding from the Morris K. Undall Parkinson Disease Center of Research Excellence (NS39764-02) and a grant from NIMH (MH59528).

PY - 2001

Y1 - 2001

N2 - Family-based tests of association are now often used when trying to fine-map a disease susceptibility locus. Recently, several tests of linkage and association have been proposed that use nuclear families with multiple affected and unaffected sibs rather than just case-parent triads. In this paper we propose a test that generalizes these previous tests. Formulae are derived to calculate the power of the test for a randomly mating population. These power calculations are used to determine conditions under which it is advantageous to include unaffected sibs in the analysis.

AB - Family-based tests of association are now often used when trying to fine-map a disease susceptibility locus. Recently, several tests of linkage and association have been proposed that use nuclear families with multiple affected and unaffected sibs rather than just case-parent triads. In this paper we propose a test that generalizes these previous tests. Formulae are derived to calculate the power of the test for a randomly mating population. These power calculations are used to determine conditions under which it is advantageous to include unaffected sibs in the analysis.

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KW - Linkage disequilibrium

KW - Nuclear families

KW - TDT

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Power calculations for a general class of tests of linkage and association that use nuclear families with affected and unaffected sibs

Abstract

Keywords

ASJC Scopus subject areas

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