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      Local Ancestry and Clinical Cardiovascular Events Among African Americans From the Atherosclerosis Risk in Communities Study

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          Abstract

          Background

          Local ancestry in relation to clinical cardiovascular events ( CVEs) among African Americans can provide insight into their genetic susceptibility to the disease.

          Methods and Results

          We examined local European ancestry ( LEA) association with CVEs among 3000 African Americans from the Atherosclerosis Risk in Communities Study ( ARIC). We estimated LEA using Local Ancestry Inference in ad Mixed Populations using Linkage Disequilibrium ( LAMPLD) and examined its association with myocardial infarction, stroke, coronary heart disease and its composite and cardiovascular disease composite using logistic regression. Genome‐wide significance was achieved by 121 LEA regions in relation to myocardial infarction and 2 in relation to the cardiovascular disease composite. The LEA region downstream of 4q32.1 was significantly associated with 2 times higher odds of myocardial infarction ( P=1.45×10 −6). The LEA region upstream of 6q11.1 was associated with 0.37 times lower odds of fatal coronary heart disease ( P=7.34×10 −4), whereas the LEA region downstream of 21q21.1 was associated with 1.55 times higher odds of composite coronary heart disease ( P=3.45×10 −4). Association of LEA with stroke was observed in the region upstream of 6p22.3 with a 1.57 times higher odds of stroke ( P=9.69×10 −4). Likewise, the LEA region on 4q32.3 was associated with a 1.53 times higher odds of composite cardiovascular disease ( P=3.04×10 −4). We also found 20 of the LEA regions at previously significant cardiovascular disease single‐nucleotide polymorphisms to be associated with CVE in our study.

          Conclusions

          Future studies are needed to replicate and/or determine the causal variants driving our associations and explore clinical applications for those consistently associated with CVEs.

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          Most cited references43

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          Sphingosine-1-phosphate: an enigmatic signalling lipid.

          The evolutionarily conserved actions of the sphingolipid metabolite, sphingosine-1-phosphate (S1P), in yeast, plants and mammals have shown that it has important functions. In higher eukaryotes, S1P is the ligand for a family of five G-protein-coupled receptors. These S1P receptors are differentially expressed, coupled to various G proteins, and regulate angiogenesis, vascular maturation, cardiac development and immunity, and are important for directed cell movement.
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            Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from 5 cohorts.

            The primary aim of genome-wide association studies is to identify novel genetic loci associated with interindividual variation in the levels of risk factors, the degree of subclinical disease, or the risk of clinical disease. The requirement for large sample sizes and the importance of replication have served as powerful incentives for scientific collaboration. Methods- The Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium was formed to facilitate genome-wide association studies meta-analyses and replication opportunities among multiple large population-based cohort studies, which collect data in a standardized fashion and represent the preferred method for estimating disease incidence. The design of the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium includes 5 prospective cohort studies from the United States and Europe: the Age, Gene/Environment Susceptibility-Reykjavik Study, the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study. With genome-wide data on a total of about 38 000 individuals, these cohort studies have a large number of health-related phenotypes measured in similar ways. For each harmonized trait, within-cohort genome-wide association study analyses are combined by meta-analysis. A prospective meta-analysis of data from all 5 cohorts, with a properly selected level of genome-wide statistical significance, is a powerful approach to finding genuine phenotypic associations with novel genetic loci. The Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium and collaborating non-member studies or consortia provide an excellent framework for the identification of the genetic determinants of risk factors, subclinical-disease measures, and clinical events.
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              A rescue factor abolishing neuronal cell death by a wide spectrum of familial Alzheimer's disease genes and Abeta.

              Through functional expression screening, we identified a gene, designated Humanin (HN) cDNA, which encodes a short polypeptide and abolishes death of neuronal cells caused by multiple different types of familial Alzheimer's disease genes and by Abeta amyloid, without effect on death by Q79 or superoxide dismutase-1 mutants. Transfected HN cDNA was transcribed to the corresponding polypeptide and then was secreted into the cultured medium. The rescue action clearly depended on the primary structure of HN. This polypeptide would serve as a molecular clue for the development of new therapeutics for Alzheimer's disease targeting neuroprotection.
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                Author and article information

                Contributors
                sshrestha@uab.edu
                Journal
                J Am Heart Assoc
                J Am Heart Assoc
                10.1002/(ISSN)2047-9980
                JAH3
                ahaoa
                Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
                John Wiley and Sons Inc. (Hoboken )
                2047-9980
                10 April 2017
                April 2017
                : 6
                : 4 ( doiID: 10.1002/jah3.2017.6.issue-4 )
                : e004739
                Affiliations
                [ 1 ] Division of Infectious Diseases Department of Medicine University of Alabama at Birmingham AL
                [ 2 ] Department of Epidemiology University of Alabama at Birmingham AL
                [ 3 ] Department of Biostatistics University of Alabama at Birmingham AL
                [ 4 ] Department of Neurology University of Alabama at Birmingham AL
                Author notes
                [*] [* ] Correspondence to: Sadeep Shrestha, PhD, MHS, MS, Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Ryals Rm217L, 1720 2nd Ave S, Birmingham, AL 35294‐0022. E‐mail: sshrestha@ 123456uab.edu
                Article
                JAH32104
                10.1161/JAHA.116.004739
                5532995
                28396569
                be7660e3-c51e-4bb4-882c-fc24b5b1c153
                © 2017 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

                This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 22 September 2016
                : 08 February 2017
                Page count
                Figures: 1, Tables: 3, Pages: 11, Words: 9243
                Funding
                Funded by: NIH National Heart, Lung, and Blood Institute
                Award ID: R56HL125061
                Award ID: HHSN268201100005C
                Award ID: HHSN268201100006C
                Award ID: HHSN268201100007C
                Award ID: HHSN268201100008C
                Award ID: HHSN268201100009C
                Award ID: HHSN268201100010C
                Award ID: HHSN268201100011C
                Award ID: HHSN268201100012C
                Funded by: NIH National Human Genome Research Institute
                Award ID: U01HG004402
                Categories
                Original Research
                Original Research
                Genetics
                Custom metadata
                2.0
                jah32104
                April 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.1.3 mode:remove_FC converted:11.07.2017

                Cardiovascular Medicine
                admixture mapping,association studies,cardiovascular events,genetic epidemiology,genetics,genome‐wide association scan,race and ethnicity,epidemiology,cardiovascular disease,risk factors,heart failure

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