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      Chromosome 10q24.32 Variants Associate with Brain Arterial Diameters in Diverse Populations: A Genome-Wide Association Study

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      1 , 2 , 1 , 3 , 4 , 1 , 1 , 3 , 4 , 5 , 6 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 1 , 3 , 4 , 1 , 3 , 4 , 1 , 13 , 9 , 14 , 15 , 10 , 11 , 12 , 15 , 7 , 16 , 1 , 3 , 4 , 8 , 17 , 1
      medRxiv
      Cold Spring Harbor Laboratory
      Larger brain arterial diameters, Genome-wide association studies, Chromosome 10q24.32, Cyclin and CBS Domain Divalent Metal Cation Transport Mediator 2 (CNNM2)

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          Abstract

          Background:

          Brain arterial diameters are novel imaging biomarkers of cerebrovascular disease, cognitive decline and dementia. Traditional vascular risk factors have been associated with brain arterial diameters but whether there may be genetic determinants of brain arterial diameters is unknown.

          Results:

          We studied 4150 participants from six geographically diverse population-based cohorts (40% European, 14% African, 22% Hispanic, 24% Asian ancestries). We measured brain arterial diameters for 13 segments and averaged them to obtain a global measure of brain arterial diameters as well as the posterior and anterior circulations. A genome-wide association study (GWAS) revealed 14 variants at one locus associated with global brain arterial diameter at genome-wide significance (P<5×10 −8) (top SNP, rs7921574; β =0.06, P=1.54×10 −8). This locus mapped to an intron of CNNM2. A trans-ancestry GWAS meta-analysis identified two more loci at NT5C2 (rs10748839; P=2.54×10 −8) and at AS3MT (rs10786721; P=4.97×10 −8), associated with global brain arterial diameter. In addition, two SNPs co-localized with expression of CNNM2 (rs7897654, β=0.12, P=6.17×10 −7) and AL356608.1 (rs10786719, β =−0.17, P=6.60×10 −6) in brain tissue. For the posterior brain arterial diameter, two variants at one locus mapped to an intron of TCF25 were identified (top SNP, rs35994878; β =0.11, P=2.94×10 −8). For the anterior brain arterial diameter, one locus at ADAP1 was identified in trans-ancestry genome-wide association analysis (rs34217249; P=3.11×10 −8).

          Conclusion:

          Our study reveals three novel risk loci (CNNM2, NT5C2 and AS3MT) associated with brain arterial diameters. Our finding may elucidate the mechanisms by which brain arterial diameters influence the risk of stroke and dementia.

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          Most cited references68

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          The Molecular Signatures Database (MSigDB) hallmark gene set collection.

          The Molecular Signatures Database (MSigDB) is one of the most widely used and comprehensive databases of gene sets for performing gene set enrichment analysis. Since its creation, MSigDB has grown beyond its roots in metabolic disease and cancer to include >10,000 gene sets. These better represent a wider range of biological processes and diseases, but the utility of the database is reduced by increased redundancy across, and heterogeneity within, gene sets. To address this challenge, here we use a combination of automated approaches and expert curation to develop a collection of "hallmark" gene sets as part of MSigDB. Each hallmark in this collection consists of a "refined" gene set, derived from multiple "founder" sets, that conveys a specific biological state or process and displays coherent expression. The hallmarks effectively summarize most of the relevant information of the original founder sets and, by reducing both variation and redundancy, provide more refined and concise inputs for gene set enrichment analysis.
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            The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019

            Abstract The GWAS Catalog delivers a high-quality curated collection of all published genome-wide association studies enabling investigations to identify causal variants, understand disease mechanisms, and establish targets for novel therapies. The scope of the Catalog has also expanded to targeted and exome arrays with 1000 new associations added for these technologies. As of September 2018, the Catalog contains 5687 GWAS comprising 71673 variant-trait associations from 3567 publications. New content includes 284 full P-value summary statistics datasets for genome-wide and new targeted array studies, representing 6 × 109 individual variant-trait statistics. In the last 12 months, the Catalog's user interface was accessed by ∼90000 unique users who viewed >1 million pages. We have improved data access with the release of a new RESTful API to support high-throughput programmatic access, an improved web interface and a new summary statistics database. Summary statistics provision is supported by a new format proposed as a community standard for summary statistics data representation. This format was derived from our experience in standardizing heterogeneous submissions, mapping formats and in harmonizing content. Availability: https://www.ebi.ac.uk/gwas/.
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              A general framework for estimating the relative pathogenicity of human genetic variants

              Our capacity to sequence human genomes has exceeded our ability to interpret genetic variation. Current genomic annotations tend to exploit a single information type (e.g. conservation) and/or are restricted in scope (e.g. to missense changes). Here, we describe Combined Annotation Dependent Depletion (CADD), a framework that objectively integrates many diverse annotations into a single, quantitative score. We implement CADD as a support vector machine trained to differentiate 14.7 million high-frequency human derived alleles from 14.7 million simulated variants. We pre-compute “C-scores” for all 8.6 billion possible human single nucleotide variants and enable scoring of short insertions/deletions. C-scores correlate with allelic diversity, annotations of functionality, pathogenicity, disease severity, experimentally measured regulatory effects, and complex trait associations, and highly rank known pathogenic variants within individual genomes. The ability of CADD to prioritize functional, deleterious, and pathogenic variants across many functional categories, effect sizes and genetic architectures is unmatched by any current annotation.
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                Author and article information

                Journal
                medRxiv
                MEDRXIV
                medRxiv
                Cold Spring Harbor Laboratory
                15 February 2023
                : 2023.01.31.23285251
                Affiliations
                [1 ]Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
                [2 ]Department of Neurology, Saint Louis University School of Medicine, St. Louis, MO, USA
                [3 ]Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
                [4 ]The Gertrude H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
                [5 ]Biostatistics Department, Mailman School of Public Health, Columbia University, New York, NY, USA
                [6 ]Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
                [7 ]Johns Hopkins University School of Medicine, Baltimore, MD, USA
                [8 ]Brown Foundation Institute of Molecular Medicine, Mc Govern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
                [9 ]Department of Neurology, Boston University School of Medicine, Boston, MA, USA
                [10 ]Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
                [11 ]Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
                [12 ]Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, FL, USA
                [13 ]Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
                [14 ]The Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
                [15 ]Memory Aging and Cognition Center, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
                [16 ]University of Maryland School of Medicine, Baltimore, MD, USA
                [17 ]Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
                Author notes
                Contact author: Jose Gutierrez, MD, MPH., Address: 710 W 168th Street, 6th floor, Suite 639, New York, NY, 10032., jg3233@ 123456cumc.columbia.edu Phone: (212) 305-1710; Fax: (212) 305-165

                Authors’ contributions

                ML performed statistical analyses, and drafted and revised the manuscript. FK, SS, AS, YQ, ET, SS, JR participated in data acquisition and revised the manuscript. DS, HA, QY, AB, SH, TR, JJ, GT participated in data analysis and interpretation and revised the manuscript. AB, ME, RS, CC, BW, MF were responsible for obtaining funding and revising the manuscript. JG was responsible for the study concept and design, obtaining funding, and drafting and revising the manuscript. All authors read and approved the final manuscript.

                Article
                10.1101/2023.01.31.23285251
                9915818
                36778463
                22aa41a6-bd8c-486d-838a-4ad27f24d955

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.

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                Article

                larger brain arterial diameters,genome-wide association studies,chromosome 10q24.32,cyclin and cbs domain divalent metal cation transport mediator 2 (cnnm2)

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