ABSTRACT
BACKGROUND: High-throughput genome-wide techniques have facilitated the identification of previously unknown host proteins involved in cellular human immunodeficiency virus (HIV) infection. Recently, 3 independent studies have used small interfering RNA technology to silence each gene in the human genome to determine the importance of each in HIV infection. Genes conferring a significant effect were termed HIV-dependency factors (HDFs). METHODS: We assembled high-density panels of 6380 single-nucleotide polymorphisms (SNPs) in 278 HDF genes and tested for genotype associations with HIV infection and AIDS progression in 1633 individuals from clinical AIDS cohorts. RESULTS: After statistical correction for multiple tests, significant associations with HIV acquisition were found for SNPs in 2 genes, NCOR2 and IDH1. Weaker associations with AIDS progression were revealed for SNPs within the TM9SF2 and EGFR genes. CONCLUSIONS: This study independently verifies the influence of NCOR2 and IDH1 on HIV transmission, and its findings suggest that variation in these genes affects susceptibility to HIV infection in exposed individuals.
Subject(s)
Disease Susceptibility , HIV Infections/genetics , HIV Infections/transmission , HIV-1/pathogenicity , Host-Pathogen Interactions , Isocitrate Dehydrogenase/genetics , Nuclear Receptor Co-Repressor 2/genetics , Disease Progression , ErbB Receptors/genetics , Gene Frequency , Humans , Male , Membrane Proteins/genetics , Polymorphism, Single NucleotideABSTRACT
Admixture mapping (also known as "mapping by admixture linkage disequilibrium," or MALD) provides a way of localizing genes that cause disease, in admixed ethnic groups such as African Americans, with approximately 100 times fewer markers than are required for whole-genome haplotype scans. However, it has not been possible to perform powerful scans with admixture mapping because the method requires a dense map of validated markers known to have large frequency differences between Europeans and Africans. To create such a map, we screened through databases containing approximately 450000 single-nucleotide polymorphisms (SNPs) for which frequencies had been estimated in African and European population samples. We experimentally confirmed the frequencies of the most promising SNPs in a multiethnic panel of unrelated samples and identified 3011 as a MALD map (1.2 cM average spacing). We estimate that this map is approximately 70% informative in differentiating African versus European origins of chromosomal segments. This map provides a practical and powerful tool, which is freely available without restriction, for screening for disease genes in African American patient cohorts. The map is especially appropriate for those diseases that differ in incidence between the parental African and European populations.