A Unified Approach to Adjusting Association Tests for Population Admixture with Arbitrary Pedigree Structure and Arbitrary Missing Marker Information

By D. Rabinowitz, Nan M. Laird. Human Heredity, 2000

642 citations recorded by the source corpus.

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In Genetics

Citations in the corpus

Association of three genetic loci with uric acid concentration and risk of gout: a genome-wide association study (2008, methodology): “In FHS, GWAS analysis was conducted as: 1) linear mixed effects models to account for familial correlation; 2) familybased association testing using FBAT to reduce the chance of false positive findings due to population stratification (33,34).”
Prioritizing GWAS results: A review of statistical methods and recommendations for their application. (2010, background): “Their new formulation owes an intellectual debt to the FBAT (family-based association test) method.(65,66) Other innovations include introduction of entropy and conditional entropy measures of interaction(67,68); exploitation of proximity measures between individuals; and application of neural netwo”
The family based association test method: strategies for studying general genotype–phenotype associations (2001, background): “Methods The null distribution for complete parental data In nuclear families with complete parental genotypes, Rabinowitz and Laird(3) define the null distribution of the offspring marker data by conditioning on the observed traits in all family members and the parental marker genotypes.(4,5) Europe”
RPGR mutation associated with retinitis pigmentosa, impaired hearing, and sinorespiratory infections (2003, methodology): “FBAT replaces missing values for the unobserved parental genotype using the distribution of offspring genotype.”
The neuronal sortilin-related receptor SORL1 is genetically associated with Alzheimer disease (2007, methodology): “First, the association was initially identified using conservative family-based association tests, which are less sensitive to confounding due to population stratificatio”