Consanguineous populations of the Arabian Peninsula, which has seen an uncontrolled rise in type 2 diabetes incidence, are underrepresented in global studies on diabetes genetics. We performed a genome-wide association study on the quantitative trait of fasting plasma glucose (FPG) in unrelated Arab individuals from Kuwait (discovery-cohort:n = 1,353; replication-cohort:n = 1,196). Genome-wide genotyping in discovery phase was performed for 632,375 markers from Illumina HumanOmniExpress Beadchip; and top-associating markers were replicated using candidate genotyping. Genetic models based on additive and recessive transmission modes were used in statistical tests for associations in discovery phase, replication phase, and meta-analysis that combines data from both the phases. A genome-wide significant association with high FPG was found at rs1002487 (RPS6KA1) (p-discovery = 1.64E-08, p-replication = 3.71E-04, p-combined = 5.72E-11; β-discovery = 8.315; β-replication = 3.442; β-combined = 6.551). Further, three suggestive associations (p-values < 8.2E-06) with high FPG were observed at rs487321 (CADPS), rs707927 (VARS and 2Kb upstream of VWA7), and rs12600570 (DHX58); the first two markers reached genome-wide significance in the combined analysis (p-combined = 1.83E-12 and 3.07E-09, respectively). Significant interactions of diabetes traits (serum triglycerides, FPG, and glycated hemoglobin) with homeostatic model assessment of insulin resistance were identified for genotypes heterozygous or homozygous for the risk allele. Literature reports support the involvement of these gene loci in type 2 diabetes etiology.
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http://dx.doi.org/10.1038/s41598-019-57072-9 | DOI Listing |
J Neurophysiol
January 2025
Department of Anesthesiology, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
Despite a significant genetic component to insomnia (heritability: 22-25%), the genetic loci that modulate insomnia risk remain limited. We employed the Unified Test for Molecular Markers (UTMOST) for transcriptome-wide association studies (TWAS) across various tissues, integrating summary statistics from a Genome-Wide Association Study (GWAS) of 462,341 European participants with gene expression data from the Genotype-Tissue Expression (GTEx) project. Three validation methods (FUSION, FOCUS, and MAGMA) were used to confirm important genes.
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December 2024
Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Vaginitis is the most common problem afflicting women of childbearing age. However, the underlying etiological factors remain poorly understood, leading to recurrent vaginitis and constraining clinical management. Here, we explored whether the gut microbiota influences the risk of vaginitis by performing a two-sample Mendelian randomization analysis using the largest genome-wide association studies to date.
View Article and Find Full Text PDFFood Funct
January 2025
School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.
. Previous observational studies have provided inconsistent evidence for the association between serum iron status and the risk of gout. Moreover, it remains uncertain whether the observed association is causal or due to confounding or reverse causality.
View Article and Find Full Text PDFNutr Cancer
January 2025
Department of Medical Oncology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Background: Ovarian cancer is a lethal female cancer with a rising incidence that is often diagnosed late due to a lack of symptoms, affecting survival and quality of life. Studies suggest that dietary factors, especially the levels of branched-chain amino acids such as valine, may influence its development. While valine is essential for metabolism, its specific role in ovarian cancer remains unclear, necessitating further research.
View Article and Find Full Text PDFAm J Med Genet B Neuropsychiatr Genet
January 2025
Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Externalizing traits and behaviors are broadly defined by impairments in self-regulation and impulse control that typically begin in childhood and adolescence. Externalizing behaviors, traits, and symptoms span a range of traditional psychiatric diagnostic categories. In this study, we sought to generate an algorithm that could reliably identify transdiagnostic childhood-onset externalizing cases and controls within a university hospital electronic health record (EHR) database.
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