A Genomic Background Based Method for Association Analysis in Related Individuals

• Published in: PloS one Vol. 2; no. 12; p. e1274
• Main Authors: Amin, Najaf, van Duijn, Cornelia M., Aulchenko, Yurii S.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 05.12.2007; Public Library of Science (PLoS)
• Subjects: Animals; Association analysis; Chromosomes; Computer simulation; Data processing; Diabetes; Epidemiology; Error correction; Feasibility studies; Female; Genealogy; Genes; Genetic aspects; Genetics; Genetics and Genomics/Bioinformatics; Genetics and Genomics/Complex Traits; Genetics and Genomics/Gene Discovery; Genomes; Genomics; Genotype & phenotype; Genotyping; Haplotypes; Language; Male; Mathematics/Statistics; Methods; Nuclear electric power generation; Pedigree; Polymorphism, Single Nucleotide; Population; Population genetics; Power; Regression analysis; Single nucleotide polymorphisms; Single-nucleotide polymorphism; Studies; Type 2 diabetes

Feasibility of genotyping of hundreds and thousands of single nucleotide polymorphisms (SNPs) in thousands of study subjects have triggered the need for fast, powerful, and reliable methods for genome-wide association analysis. Here we consider a situation when study participants are genetically rel...