Until now, large-scale genome-wide association studies have identified 94 genes associated with Alzheimer's disease, Parkinson's disease, and multiple sclerosis. Expression quantitative trait locus (eQTL) analysis showed that six genetic variants around six of these 94 genes could drive both disease susceptibility and altered expression of six nearby genes including CD33 (rs3865444), PILRB (rs1476679), NUP160 (rs10838725), LRRK2 (rs76904798), RGS1 (rs1323292), and METTL21B (rs701006). However, two of these six genetic variants rs1476679 and rs76904798 variants could regulate the expression of PILRB and LRRK2 only in the human monocyte-derived microglia-like (MDMi) cells, but not in human peripheral blood monocytes. Here, we aim to verify these findings using another two eQTL datasets in human peripheral blood immune cell CD14+ monocytes. The results that showed that rs1476679 and rs76904798 variants or their proxy variants could significantly regulate the expression of PILRB and LRRK2 in immune cell CD14+ monocytes and human peripheral blood. We believe that these findings provide important supplementary information about the regulatory mechanisms by which both variants influence PILRB and LRRK2 gene expression and neurodegenerative disease risk.
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http://dx.doi.org/10.3389/fgene.2018.00666 | DOI Listing |
JAMA Netw Open
January 2025
Department of Medicine, Harvard Medical School, Boston, Massachusetts.
Importance: Disease characteristics of genetically mediated coronary artery disease (CAD) on coronary angiography and the association of genomic risk with outcomes after coronary angiography are not well understood.
Objective: To assess the angiographic characteristics and risk of post-coronary angiography outcomes of patients with genomic drivers of CAD: familial hypercholesterolemia (FH), high polygenic risk score (PRS), and clonal hematopoiesis of indeterminate potential (CHIP).
Design, Setting, And Participants: A retrospective cohort study of 3518 Mass General Brigham Biobank participants with genomic information who underwent coronary angiography was conducted between July 18, 2000, and August 1, 2023.
Infection
January 2025
Department of Clinical Infectious Diseases, Research Center Borstel, Leibniz Lung Center, Parkallee 35, Borstel, Germany.
Purpose: Deciding whether to provide preventive treatment to contacts of individuals with multidrug-resistant (MDR) tuberculosis is complex.
Methods: We present the diagnostic pathways, clinical course and outcome of tuberculosis treatment in eight siblings from a single family. Tuberculosis disease was diagnosed by Mycobacterium tuberculosis culture and molecular detection of M.
Funct Integr Genomics
January 2025
Children's Medical Center, Peking University First Hospital, No.5 Le Yuan Road, Daxing District, 100034, Beijing, China.
Long-read sequencing has emerged as a transformative technology in recent years, offering significant potential for the molecular diagnosis of unresolved genetic disorders. Despite its promise, the comprehensive detection and clinical annotation of genomic variants remain intricate and technically demanding. We present SUMMER, an integrated and structured workflow specifically designed to process raw Nanopore sequencing reads.
View Article and Find Full Text PDFPlant Mol Biol
January 2025
Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Key Laboratory of Biological Breeding for Fujian and Taiwan Crops, Ministry of Agriculture and Rural Affairs, Key Laboratory of Crop Biotechnology of Fujian Higher Education Institutes, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Am J Respir Cell Mol Biol
January 2025
University of Groningen, University Medical Center Groningen, Department of Pulmonology and Pediatric Allergy, Beatrix Children's Hospital, Groningen, Netherlands.
Asthma is a genetically complex inflammatory airway disease associated with over 200 Single nucleotide polymorphisms (SNPs). However, the functional effects of many asthma-associated SNPs in lung and airway epithelial samples are unknown. Here, we aimed to conduct expression quantitative trait loci (eQTL) analysis using a meta-analysis of nasal and lung samples.
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