A unified association analysis approach for family and unrelated samples correcting for stratification.

A unified association analysis approach for family and unrelated samples correcting for stratification. Research Abstract Details 

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A unified association analysis approach for family and unrelated samples correcting for stratification. Abstract Text:

Xiaofeng Zhu,Shengchao Li,Richard S Cooper,Robert C Elston,Xiaofeng Zhu,Shengchao Li,Richard S Cooper,Robert C Elston,

There are two common designs for association mapping of complex diseases: case-control and family-based designs. A case-control sample is more powerful to detect genetic effects than a family-based sample that contains the same numbers of affected and unaffected persons, although additional markers may be required to control for spurious association. When family and unrelated samples are available, statistical analyses are often performed in the family and unrelated samples separately, conditioning on parental information for the former, thus resulting in reduced power. In this report, we propose a unified approach that can incorporate both family and case-control samples and, provided the additional markers are available, at the same time corrects for population stratification. We apply the principal components of a marker matrix to adjust for the effect of population stratification. This unified approach makes it unnecessary to perform a conditional analysis of the family data and is more powerful than the separate analyses of unrelated and family samples, or a meta-analysis performed by combining the results of the usual separate analyses. This property is demonstrated in both a variety of simulation models and empirical data. The proposed approach can be equally applied to the analysis of both qualitative and quantitative traits.

A unified association analysis approach for family and unrelated samples correcting for stratification. Publishing Authors By Initials

X Zhu,S Li,RS Cooper,RC Elston,X Zhu,S Li,RS Cooper,RC Elston,

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A unified association analysis approach for family and unrelated samples correcting for stratification. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: American journal of human genetics

VOLUME: 82

Page Numbers: 352-65

Journal Abbreviation: Am. J. Hum. Genet.

ISSN: 1537-6605

DAY: 6

MONTH: Feb

YEAR: 2008

A unified association analysis approach for family and unrelated samples correcting for stratification. Information

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LANGUAGE: eng

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Grant and Affiliation Information for A unified association analysis approach for family and unrelated samples correcting for stratification.

AFFILIATION: Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44106, USA.

Country: United States

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MEDLINETA: Am J Hum Genet

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