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Most genome-wide association studies have been of European individuals, even though most genetic variation in humans is seen only in non-European samples. To search for novel loci associated with blood lipid levels and clarify the mechanism of action at previously identified lipid loci, we used an exome array to examine protein-coding genetic variants in 47,532 East Asian individuals. We identified 255 variants at 41 loci that reached chip-wide significance, including 3 novel loci and 14 East Asian-specific coding variant associations. After a meta-analysis including >300,000 European samples, we identified an additional nine novel loci. Sixteen genes were identified by protein-altering variants in both East Asians and Europeans, and thus are likely to be functional genes. Our data demonstrate that most of the low-frequency or rare coding variants associated with lipids are population specific, and that examining genomic data across diverse ancestries may facilitate the identification of functional genes at associated loci.
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http://dx.doi.org/10.1038/ng.3978 | DOI Listing |
Signal Transduct Target Ther
September 2025
Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Essential tremor (ET) is a common neurological disease that is characterized by 4-12 Hz kinetic tremors of the upper limbs and high genetic heterogeneity. Although numerous candidate genes and loci have been reported, the etiology of ET remains unclear. A novel ET-related gene was initially identified in a five-generation family via whole-exome sequencing, and other variants were identified in 772 familial ET probands and 640 sporadic individuals via whole-genome sequencing.
View Article and Find Full Text PDFJ Allergy Clin Immunol
September 2025
Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA. Electronic address:
Background: Genetic control of gene expression in asthma-related tissues is not well-characterized, particularly for African-ancestry populations, limiting advancement in our understanding of the increased prevalence and severity of asthma in those populations.
Objective: To create novel transcriptome prediction models for asthma tissues (nasal epithelium and CD4+ T cells) and apply them in transcriptome-wide association study to discover candidate asthma genes.
Methods: We developed and validated gene expression prediction databases for unstimulated CD4+ T cells and nasal epithelium using an elastic net framework.
Appl Environ Microbiol
September 2025
Department of Biology, University of Regina, Regina, Saskatchewan, Canada.
Unlabelled: Bovine respiratory disease (BRD) is the primary disease of cattle and is responsible for most of the antibiotic use in the beef industry, both for metaphylaxis and treatment. Infection prevention and targeted treatments would benefit from detecting and identifying bacterial pathogens and, ideally, assessing antibiotic sensitivity. Here, we report success refining targeted metagenomics by hybridization capture sequencing (CapSeq) to detect and genotype bacterial pathogens and genes for antibiotic resistance in BRD.
View Article and Find Full Text PDFEnviron Epigenet
May 2025
Université Grenoble Alpes, INSERM U1209, CNRS UMR 5309, Institut pour l'Avancée des Biosciences (IAB), Team of Environmental Epidemiology Applied to Development and Respiratory Health, 38000 Grenoble, France.
An increasing number of epigenome-wide association studies report tobacco smoking-associated DNA methylation levels. However, comprehensive replication studies remain scarce, particularly in placenta, despite their crucial interest in such a large-scale context. Using DNA methylation data from the EPIC array of 341 new placentas (85 smokers, 219 non-smokers, and 37 former smokers) from the EDEN cohort, we used a candidate approach to replicate maternal smoking-associated CpGs and regions previously identified using the 450K array, and an exploratory approach to discover new associations within EPIC-specific CpGs.
View Article and Find Full Text PDFBackground: Intervertebral disc degeneration (IDD) is a prevalent spinal condition frequently associated with pain and motor impairment, imposing a substantial burden on quality of life. Despite extensive investigations into the genetic predisposition to IDD, the precise pathogenic genes and molecular pathways involved remain inadequately characterized, underscoring the need for continued research to clarify its genetic underpinnings.
Methods: This study leveraged IDD data from the FinnGen R12 cohort and integrated expression quantitative trait loci data across 49 tissues from the Genotype-Tissue Expression version 8 database to perform a cross-tissue transcriptome-wide association study (TWAS).