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      Genetic loci associated with coronary artery disease harbor evidence of selection and antagonistic pleiotropy

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          Abstract

          Traditional genome-wide scans for positive selection have mainly uncovered selective sweeps associated with monogenic traits. While selection on quantitative traits is much more common, very few signals have been detected because of their polygenic nature. We searched for positive selection signals underlying coronary artery disease (CAD) in worldwide populations, using novel approaches to quantify relationships between polygenic selection signals and CAD genetic risk. We identified new candidate adaptive loci that appear to have been directly modified by disease pressures given their significant associations with CAD genetic risk. These candidates were all uniquely and consistently associated with many different male and female reproductive traits suggesting selection may have also targeted these because of their direct effects on fitness. We found that CAD loci are significantly enriched for lifetime reproductive success relative to the rest of the human genome, with evidence that the relationship between CAD and lifetime reproductive success is antagonistic. This supports the presence of antagonistic-pleiotropic tradeoffs on CAD loci and provides a novel explanation for the maintenance and high prevalence of CAD in modern humans. Lastly, we found that positive selection more often targeted CAD gene regulatory variants using HapMap3 lymphoblastoid cell lines, which further highlights the unique biological significance of candidate adaptive loci underlying CAD. Our study provides a novel approach for detecting selection on polygenic traits and evidence that modern human genomes have evolved in response to CAD-induced selection pressures and other early-life traits sharing pleiotropic links with CAD.

          Author summary

          How genetic variation contributes to disease is complex, especially for those such as coronary artery disease (CAD) that develop over the lifetime of individuals. One of the fundamental questions about CAD––whose progression begins in young adults with arterial plaque accumulation leading to life-threatening outcomes later in life––is why natural selection has not removed or reduced this costly disease. It is the leading cause of death worldwide and has been present in human populations for thousands of years, implying considerable pressures that natural selection should have operated on. Our study provides new evidence that genes underlying CAD have recently been modified by natural selection and that these same genes uniquely and extensively contribute to human reproduction, which suggests that natural selection may have maintained genetic variation contributing to CAD because of its beneficial effects on fitness. This study provides novel evidence that CAD has been maintained in modern humans as a by-product of the fitness advantages those genes provide early in human lifecycles.

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          Introduction to Quantitative Genetics

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            Pleiotropy, Natural Selection, and the Evolution of Senescence

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              Ensembl 2012

              The Ensembl project (http://www.ensembl.org) provides genome resources for chordate genomes with a particular focus on human genome data as well as data for key model organisms such as mouse, rat and zebrafish. Five additional species were added in the last year including gibbon (Nomascus leucogenys) and Tasmanian devil (Sarcophilus harrisii) bringing the total number of supported species to 61 as of Ensembl release 64 (September 2011). Of these, 55 species appear on the main Ensembl website and six species are provided on the Ensembl preview site (Pre!Ensembl; http://pre.ensembl.org) with preliminary support. The past year has also seen improvements across the project.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                22 June 2017
                June 2017
                : 13
                : 6
                : e1006328
                Affiliations
                [1 ]Centre for Systems Genomics, School of BioSciences, The University of Melbourne, Parkville, Victoria, Australia
                [2 ]Department of Pathology, The University of Melbourne, Parkville, Victoria, Australia
                [3 ]Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
                [4 ]Institute of Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
                [5 ]Department of Public Health, University of Helsinki, Helsinki, Finland
                [6 ]Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
                [7 ]Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, United States of America
                Geisinger Health System, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                • Conceptualization: SGB MI.

                • Formal analysis: SGB QQH AB.

                • Funding acquisition: MI.

                • Methodology: SGB MI.

                • Supervision: MI.

                • Visualization: SGB.

                • Writing – original draft: SGB MI.

                • Writing – review & editing: SGB QQH LG AB SR GA SCS MI.

                Author information
                http://orcid.org/0000-0003-3073-717X
                http://orcid.org/0000-0001-5650-7036
                http://orcid.org/0000-0003-4853-0118
                Article
                PGENETICS-D-16-01943
                10.1371/journal.pgen.1006328
                5480811
                28640878
                6d011c31-97b8-4672-a1a6-03e6541c5af7
                © 2017 Byars et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 31 August 2016
                : 2 May 2017
                Page count
                Figures: 5, Tables: 1, Pages: 27
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council;
                Award ID: 1062227
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001030, National Heart Foundation of Australia;
                Award ID: 1061435
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council;
                Award ID: 1090462
                Award Recipient :
                This study was supported by the National Health and Medical Research Council (NHMRC) of Australia (grant no. 1062227) and the National Heart Foundation of Australia. MI was supported by a Career Development Fellowship co-funded by the NHMRC and the National Heart Foundation of Australia (no. 1061435). GA was supported by an NHMRC Peter Doherty Early Career Fellowship (no.1090462). SR was supported by the Academy of Finland Center of Excellence in Complex Disease Genetics (Grant No 213506 and 129680), Academy of Finland (Grant No 251217 and 285380), the Finnish Foundation for Cardiovascular Research, the Sigrid Juselius Foundation, Biocentrum Helsinki and the European Union’s Seventh Framework Programme (FP7/2007-2013) under grant agreement No 201413 (ENGAGE) and 261433 (BioSHaRE-EU), and Horizon 2020 Research and Innovation Programme under grant agreement No 692145 (ePerMed). The Framingham Heart Study is conducted and supported by the National Heart, Lung, and Blood Institute (NHLBI) in collaboration with Boston University (Contract No. N01-HC-25195 and HHSN268201500001I). This manuscript was not prepared in collaboration with investigators of the Framingham Heart Study and does not necessarily reflect the opinions or views of the Framingham Heart Study, Boston University, or NHLBI. Funding for SHARe Affymetrix genotyping was provided by NHLBI Contract N02-HL-64278. SHARe Illumina genotyping was provided under an agreement between Illumina and Boston University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Vascular Medicine
                Coronary Heart Disease
                Medicine and Health Sciences
                Cardiology
                Coronary Heart Disease
                Biology and Life Sciences
                Genetics
                Genetic Loci
                Biology and Life Sciences
                Evolutionary Biology
                Evolutionary Processes
                Natural Selection
                Biology and Life Sciences
                Cell Biology
                Signal Transduction
                Cell Signaling
                Genomic Signal Processing
                Biology and Life Sciences
                Evolutionary Biology
                Population Genetics
                Biology and Life Sciences
                Genetics
                Population Genetics
                Biology and Life Sciences
                Population Biology
                Population Genetics
                Biology and Life Sciences
                Genetics
                Genetics of Disease
                Biology and Life Sciences
                Genetics
                Gene Expression
                Biology and Life Sciences
                Evolutionary Biology
                Population Genetics
                Genetic Polymorphism
                Biology and Life Sciences
                Genetics
                Population Genetics
                Genetic Polymorphism
                Biology and Life Sciences
                Population Biology
                Population Genetics
                Genetic Polymorphism
                Custom metadata
                The HapMap3 genotype and gene expression data are respectively available at hapmap.org and http://www.ebi.ac.uk/arrayexpress/. The 1000 genomes data is available at http://www.1000genomes.org/data. The coronary artery disease genome-wide risk meta-analysis data is available at http://www.cardiogramplusc4d.org. The Framingham Heart Study phenotype and genotype data is available at https://www.ncbi.nlm.nih.gov/gap.

                Genetics
                Genetics

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