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      The population genomics of rhesus macaques ( Macaca mulatta) based on whole-genome sequences

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          Abstract

          Rhesus macaques ( Macaca mulatta) are the most widely used nonhuman primate in biomedical research, have the largest natural geographic distribution of any nonhuman primate, and have been the focus of much evolutionary and behavioral investigation. Consequently, rhesus macaques are one of the most thoroughly studied nonhuman primate species. However, little is known about genome-wide genetic variation in this species. A detailed understanding of extant genomic variation among rhesus macaques has implications for the use of this species as a model for studies of human health and disease, as well as for evolutionary population genomics. Whole-genome sequencing analysis of 133 rhesus macaques revealed more than 43.7 million single-nucleotide variants, including thousands predicted to alter protein sequences, transcript splicing, and transcription factor binding sites. Rhesus macaques exhibit 2.5-fold higher overall nucleotide diversity and slightly elevated putative functional variation compared with humans. This functional variation in macaques provides opportunities for analyses of coding and noncoding variation, and its cellular consequences. Despite modestly higher levels of nonsynonymous variation in the macaques, the estimated distribution of fitness effects and the ratio of nonsynonymous to synonymous variants suggest that purifying selection has had stronger effects in rhesus macaques than in humans. Demographic reconstructions indicate this species has experienced a consistently large but fluctuating population size. Overall, the results presented here provide new insights into the population genomics of nonhuman primates and expand genomic information directly relevant to primate models of human disease.

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          Most cited references104

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          Fast and accurate short read alignment with Burrows–Wheeler transform

          Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ∼10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package. Availability: http://maq.sourceforge.net Contact: rd@sanger.ac.uk
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            A global reference for human genetic variation

            The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized a broad spectrum of genetic variation, in total over 88 million variants (84.7 million single nucleotide polymorphisms (SNPs), 3.6 million short insertions/deletions (indels), and 60,000 structural variants), all phased onto high-quality haplotypes. This resource includes >99% of SNP variants with a frequency of >1% for a variety of ancestries. We describe the distribution of genetic variation across the global sample, and discuss the implications for common disease studies.
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              An Integrated Encyclopedia of DNA Elements in the Human Genome

              Summary The human genome encodes the blueprint of life, but the function of the vast majority of its nearly three billion bases is unknown. The Encyclopedia of DNA Elements (ENCODE) project has systematically mapped regions of transcription, transcription factor association, chromatin structure, and histone modification. These data enabled us to assign biochemical functions for 80% of the genome, in particular outside of the well-studied protein-coding regions. Many discovered candidate regulatory elements are physically associated with one another and with expressed genes, providing new insights into the mechanisms of gene regulation. The newly identified elements also show a statistical correspondence to sequence variants linked to human disease, and can thereby guide interpretation of this variation. Overall the project provides new insights into the organization and regulation of our genes and genome, and an expansive resource of functional annotations for biomedical research.
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                Author and article information

                Journal
                Genome Res
                Genome Res
                genome
                genome
                GENOME
                Genome Research
                Cold Spring Harbor Laboratory Press
                1088-9051
                1549-5469
                December 2016
                December 2016
                : 26
                : 12
                : 1651-1662
                Affiliations
                [1 ]Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA;
                [2 ]Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA;
                [3 ]University of Texas Health Science Center, Houston, Texas 77030, USA;
                [4 ]Southwest National Primate Research Center, San Antonio, Texas 78227, USA;
                [5 ]Department of Human Genetics, University of California, Los Angeles, California 90095, USA;
                [6 ]Oregon National Primate Research Center, Beaverton, Oregon 97006, USA;
                [7 ]North Carolina Museum of Natural Sciences, Raleigh, North Carolina 27601, USA;
                [8 ]Biological and Biomedical Sciences, North Carolina Central University, Durham, North Carolina 27707, USA;
                [9 ]Department of Evolutionary Anthropology, Duke University, Durham, North Carolina 27708, USA;
                [10 ]Yerkes National Primate Research Center, Atlanta, Georgia 30322, USA;
                [11 ]California National Primate Research Center, Davis, California 95616, USA;
                [12 ]School of Mathematical and Natural Sciences, Arizona State University, Phoenix, Arizona 85004, USA;
                [13 ]Tulane National Primate Research Center, Covington, Louisiana 70433, USA;
                [14 ]Center for Stem Cell and Translational Medicine, Anhui University, Anhui, China 230601;
                [15 ]Department of Neurobiology, Duke University, Durham, North Carolina 27708, USA;
                [16 ]Department of Neuroscience, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA;
                [17 ]New England National Primate Research Center, Southborough, Massachusetts 01772, USA;
                [18 ]Wisconsin National Primate Research Center, Madison, Wisconsin 53711, USA
                Author notes

                Present addresses: 19Department of Genomic Medicine, MD Anderson Cancer Center, Houston, TX 77030, USA; 20Department of Pathology, Baylor College of Medicine, Houston, TX 77030, USA; 21Illumina Corporation, San Diego, CA 92122, USA; 22University of Mississippi Medical Center, Jackson, MS 39216, USA

                Corresponding author: Jr13@ 123456bcm.edu
                Article
                9509184
                10.1101/gr.204255.116
                5131817
                27934697
                9d41c820-9b31-4aa9-bd69-2cdcac6d052b
                © 2016 Xue et al.; Published by Cold Spring Harbor Laboratory Press

                This article, published in Genome Research, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 11 January 2016
                : 12 October 2016
                Page count
                Pages: 12
                Funding
                Funded by: Office of Extramural Research, National Institutes of Health http://dx.doi.org/10.13039/100006955
                Award ID: R24-OD11173
                Award ID: R01-EY026045
                Award ID: U54-HG003273
                Categories
                Research

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