Genome-wide association studies have identified genomic loci, whose single-nucleotide polymorphisms (SNPs) predispose to prostate cancer (PCa). However, the mechanisms of most of these variants are largely unknown. We integrated chromatin-immunoprecipitation-coupled sequencing and microarray expression profiling in TMPRSS2-ERG gene rearrangement positive DUCaP cells with the GWAS PCa risk SNPs catalog to identify disease susceptibility SNPs localized within functional androgen receptor-binding sites (ARBSs). Among the 48 GWAS index risk SNPs and 3,917 linked SNPs, 80 were found located in ARBSs. Of these, rs11891426:T>G in an intron of the melanophilin gene (MLPH) was within a novel putative auxiliary AR-binding motif, which is enriched in the neighborhood of canonical androgen-responsive elements. T→G exchange attenuated the transcriptional activity of the ARBS in an AR reporter gene assay. The expression of MLPH in primary prostate tumors was significantly lower in those with the G compared with the T allele and correlated significantly with AR protein. Higher melanophilin level in prostate tissue of patients with a favorable PCa risk profile points out a tumor-suppressive effect. These results unravel a hidden link between AR and a functional putative PCa risk SNP, whose allele alteration affects androgen regulation of its host gene MLPH.
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http://dx.doi.org/10.1002/humu.22909 | DOI Listing |
Neurogastroenterol Motil
January 2025
Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University, Columbus, Ohio, USA.
Background: Cyclic vomiting syndrome (CVS) is a disorder characterized by sudden, recurrent episodes of severe nausea and vomiting. The pathophysiology of CVS is not known but genetic factors that regulate emetic neurocircuitry have been proposed. The aim of this study was to investigate whether different variations in genes encoding serotonin receptors (HTRs) are associated with susceptibility to CVS and/or CVS symptoms.
View Article and Find Full Text PDFGenet Epidemiol
March 2025
Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan.
The polygenic score (PGS) holds promise for motivating preventive behavioral changes. However, no clinically validated standardization methodology currently exists. Here, we demonstrate the efficacy of a "reference-based" approach for standardization.
View Article and Find Full Text PDFFront Plant Sci
January 2025
Institut Sénégalais de Recherches Agricoles (ISRA/Centre d'Etude Regional pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS), Thies, Senegal.
Early leaf spot (ELS), caused by (syn. ), is a highly damaging peanut disease worldwide. While there are limited sources of resistance in cultivated peanut cultivars, wild relatives carry alleles for strong resistance, making them a valuable strategic resource for peanut improvement.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
January 2025
Department of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Objective: This study aims to investigate the associations between rs724030 A>G variant and prediabetes risk, along with their correlations with clinical features, including plasma glucose and serum insulin levels during oral glucose tolerance test (OGTT), islet function, insulin resistance, and plasma lipid levels. In particular, we investigated whether there are sex dimorphisms in the impact of this variant on islet function/insulin resistance.
Methods: We included 3415 glucose-tolerant healthy and 1744 prediabetes individuals based on OGTT.
Biomark Med
January 2025
Zhuhai People's Hospital, Zhuhai Hospital Affiliated with Jinan University, Zhuhai, China.
Objective: This study aims to explore the association between arginase 1 (ARG1) genetic variation and susceptibility to type 2 diabetes (T2DM) vascular complications, a primary cause of morbidity and mortality in diabetics.
Methods: ARG1, a risk gene for cardiovascular disease, was identified from GEO datasets GSE22255 and GSE58294. The ENCODE database identified four candidate single-nucleotide polymorphism (SNP) loci.
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