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Family-based tests of association and linkage that use unaffected sibs, covariates, and interactions.

Abstract：

:We extend the methodology for family-based tests of association and linkage to allow for both variation in the phenotypes of subjects and incorporation of covariates into general-score tests of association. We use standard association models for a phenotype and any number of predictors. We then construct a score statistic, using likelihoods for the distribution of phenotype, given genotype. The distribution of the score is computed as a function of offspring genotypes, conditional on parental genotypes and trait values for offspring and parents. This approach provides a natural extension of the transmission/disequilibrium test to any phenotype and to multiple genes or environmental factors and allows the study of gene-gene and gene-environment interaction. When the trait varies among subjects or when covariates are included in the association model, the score statistic depends on one or more nuisance parameters. We suggest two approaches for obtaining parameter estimates: (1) choosing the estimate that minimizes the variance of the test statistic and (2) maximizing the statistic over a nuisance parameter and using a corrected P value. We apply our methods to a sample of families with attention-deficit/hyperactivity disorder and provide examples of how covariates and gene-environment and gene-gene interactions can be incorporated.

journal_name

Am J Hum Genet

journal_title

American journal of human genetics

authors

Lunetta KL,Faraone SV,Biederman J,Laird NM

doi

10.1086/302782

subject

Has Abstract

pub_date

2000-02-01 00:00:00

pages

605-14

issue

2

eissn

0002-9297

issn

1537-6605

pii

S0002-9297(07)63434-X

journal_volume

66

pub_type

杂志文章

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