Background: Seven genome-wide association studies (GWAS) have been published in AIDS, and only associations in the HLA region on chromosome 6 and CXCR6 have passed genome-wide significance.
Methods: We reanalyzed the data from 3 previously published GWAS, targeting specifically low-frequency SNPs (minor allele frequency <5%). Two groups composed of 365 slow progressors and 147 rapid progressors from Europe and the United States were compared with a control group of 1394 seronegative individuals using Eigenstrat corrections.
Results: Of the 8584 SNPs with minor allele frequency <5% in cases and controls (Bonferroni threshold = 5.8 × 10⁻⁶), 4 SNPs showed statistical evidence of association with the slow progressor phenotype. The best result was for HCP5 rs2395029 [P = 8.54 × 10⁻¹⁵, odds ratio (OR) = 3.41] in the HLA locus, in partial linkage disequilibrium with 2 additional chromosome 6 associations in C6orf48 (P = 3.03 × 10⁻¹⁰, OR = 2.9) and NOTCH4 (9.08 × 10⁻⁰⁷, OR = 2.32). The fourth association corresponded to rs2072255 located in RICH2 (P = 3.30 × 10⁻⁰⁶, OR = 0.43) in chromosome 17. Using HCP5 rs2395029 as a covariate, the C6orf48 and NOTCH4 signals disappeared, but the RICH2 signal still remained significant.
Conclusions: Besides the already known chromosome 6 associations, the analysis of low-frequency SNPs brought up a new association in the RICH2 gene. Interestingly, RICH2 interacts with BST-2 known to be a major restriction factor for HIV-1 infection. Our study has thus identified a new candidate gene for AIDS molecular etiology and confirms the interest of singling out low-frequency SNPs to exploit GWAS data.
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http://dx.doi.org/10.1097/QAI.0b013e318204982b | DOI Listing |
Commun Biol
December 2024
Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
To improve imputation quality for genome-wide association studies (GWAS) conducted on the Japanese population, we developed and evaluated four Japanese population-specific reference panels. These panels were constructed through the augmentation of the 1000 Genomes Project (1KG) panel using Japanese whole genome sequencing (WGS) data, with sample sizes ranging from 1 K to 7 K individuals enrolled through the Biobank Japan (BBJ) project, and sequencing depths ranging from 3× to 30×. Among these panels, an augmented reference panel comprising 7472 WGS samples of mixed depth (1KG+7K) exhibit the greatest improvement in imputation quality relative to the Trans-Omics for Precision Medicine (TOPMed) reference panel.
View Article and Find Full Text PDFBMC Genomics
December 2024
Institut de Recherche en Sciences de la Santé, Bobo-Dioulasso, 01 BP 545, Burkina Faso.
Background: The recent success of a population control gene drive targeting the doublesex gene in Anopheles gambiae paved the way for developing self-sustaining and self-limiting genetic control strategies targeting the sex determination pathway to reduce and/or distort the reproductive capacity of insect vectors. However, targeting these genes for genetic control requires a better understanding of their genetic variation in natural populations to ensure effective gene drive spread. Using whole genome sequencing (WGS) data from the Ag1000G project (Ag3.
View Article and Find Full Text PDFAm J Hum Genet
December 2024
Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland. Electronic address:
Female infertility is a common and complex health problem affecting millions of women worldwide. While multiple factors can contribute to this condition, the underlying cause remains elusive in up to 15%-30% of affected individuals. In our large genome-wide association study (GWAS) of 22,849 women with infertility and 198,989 control individuals from the Finnish population cohort FinnGen, we unveil a landscape of genetic factors associated with the disorder.
View Article and Find Full Text PDFCardiovasc Diabetol
November 2024
Research Division, Joslin Diabetes Center, One Joslin Place, Boston, MA, 02215, USA.
J Genet
October 2024
Research Centre for Anthropology and Health (CIAS), University of Coimbra, Coimbra, Portugal.
Kruppel-like factor 1 (KLF1) is an essential erythroid-specific transcription factor. Several reports have shown that gene mutations are associated with increased levels of Hb F and Hb A. However, scarce population studies have analysed common variations.
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