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      Targeted Sequencing of Lung Function Loci in Chronic Obstructive Pulmonary Disease Cases and Controls

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          Abstract

          Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide; smoking is the main risk factor for COPD, but genetic factors are also relevant contributors. Genome-wide association studies (GWAS) of the lung function measures used in the diagnosis of COPD have identified a number of loci, however association signals are often broad and collectively these loci only explain a small proportion of the heritability. In order to examine the association with COPD risk of genetic variants down to low allele frequencies, to aid fine-mapping of association signals and to explain more of the missing heritability, we undertook a targeted sequencing study in 300 COPD cases and 300 smoking controls for 26 loci previously reported to be associated with lung function. We used a pooled sequencing approach, with 12 pools of 25 individuals each, enabling high depth (30x) coverage per sample to be achieved. This pooled design maximised sample size and therefore power, but led to challenges during variant-calling since sequencing error rates and minor allele frequencies for rare variants can be very similar. For this reason we employed a rigorous quality control pipeline for variant detection which included the use of 3 independent calling algorithms. In order to avoid false positive associations we also developed tests to detect variants with potential batch effects and removed them before undertaking association testing. We tested for the effects of single variants and the combined effect of rare variants within a locus. We followed up the top signals with data available (only 67% of collapsing methods signals) in 4,249 COPD cases and 11,916 smoking controls from UK Biobank. We provide suggestive evidence for the combined effect of rare variants on COPD risk in TNXB and in sliding windows within MECOM and upstream of HHIP. These findings can lead to an improved understanding of the molecular pathways involved in the development of COPD.

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          Deep resequencing of GWAS loci identifies independent rare variants associated with inflammatory bowel disease

          More than a thousand disease susceptibility loci have been identified via genome-wide association studies (GWAS) of common variants; however, the specific genes and full allelic spectrum of causal variants underlying these findings generally remain to be defined. We utilize pooled next-generation sequencing to study 56 genes in regions associated to Crohn’s Disease in 350 cases and 350 controls. Follow up genotyping of 70 rare and low-frequency protein-altering variants (MAF ~ .001-.05) in nine independent case-control series (16054 CD patients, 12153 UC patients, 17575 healthy controls) identifies four additional independent risk factors in NOD2, two additional protective variants in IL23R, a highly significant association to a novel, protective splice variant in CARD9 (p < 1e-16, OR ~ 0.29), as well as additional associations to coding variants in IL18RAP, CUL2, C1orf106, PTPN22 and MUC19. We extend the results of successful GWAS by providing novel, rare, and likely functional variants that will empower functional experiments and predictive models.
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            Testing for an Unusual Distribution of Rare Variants

            Introduction High throughput sequencing of the human genome is now a reality: recent advances in sequencing technology now permit near complete ascertainment of genetic variation, including rare variants ( p0), some neutral, and some protective (pi
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              An initial map of insertion and deletion (INDEL) variation in the human genome.

              Although many studies have been conducted to identify single nucleotide polymorphisms (SNPs) in humans, few studies have been conducted to identify alternative forms of natural genetic variation, such as insertion and deletion (INDEL) polymorphisms. In this report, we describe an initial map of human INDEL variation that contains 415,436 unique INDEL polymorphisms. These INDELs were identified with a computational approach using DNA re-sequencing traces that originally were generated for SNP discovery projects. They range from 1 bp to 9989 bp in length and are split almost equally between insertions and deletions, relative to the chimpanzee genome sequence. Five major classes of INDELs were identified, including (1) insertions and deletions of single-base pairs, (2) monomeric base pair expansions, (3) multi-base pair expansions of 2-15 bp repeat units, (4) transposon insertions, and (5) INDELs containing random DNA sequences. Our INDELs are distributed throughout the human genome with an average density of one INDEL per 7.2 kb of DNA. Variation hotspots were identified with up to 48-fold regional increases in INDEL and/or SNP variation compared with the chromosomal averages for the same chromosomes. Over 148,000 INDELs (35.7%) were identified within known genes, and 5542 of these INDELs were located in the promoters and exons of genes, where gene function would be expected to be influenced the greatest. All INDELs in this study have been deposited into dbSNP and have been integrated into maps of human genetic variation that are available to the research community.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                23 January 2017
                2017
                : 12
                : 1
                : e0170222
                Affiliations
                [1 ]Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, United Kingdom
                [2 ]National Institute for Health Research (NIHR), Leicester Respiratory Biomedical Research Unit, Glenfield Hospital, Leicester, United Kingdom
                [3 ]Division of Respiratory Medicine, Queen’s Medical Centre, University of Nottingham, Nottingham, United Kingdom
                Hospital Authority, CHINA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: MSA LVW MDT IPH.

                • Formal analysis: MSA NS.

                • Funding acquisition: LVW MDT IPH.

                • Methodology: MSA LVW MDT.

                • Resources: TMM IS IPH.

                • Supervision: LVW MDT.

                • Writing – original draft: MSA.

                • Writing – review & editing: MSA LVW NS TMM IS IPH MDT.

                ¶ Collaborators of UK BiLEVE are provided in the Acknowledgments.

                Author information
                http://orcid.org/0000-0002-3213-1107
                http://orcid.org/0000-0002-3596-7874
                Article
                PONE-D-16-26600
                10.1371/journal.pone.0170222
                5256917
                28114305
                bd32edad-c221-4191-b021-2982ea1693c6
                © 2017 Artigas 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
                : 3 July 2016
                : 1 January 2017
                Page count
                Figures: 1, Tables: 2, Pages: 17
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000272, National Institute for Health Research;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000265, Medical Research Council;
                Award ID: G0902313
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000265, Medical Research Council;
                Award ID: G1000861
                Award Recipient :
                The research undertaken by M.D.T., M.S.A., L.V.W. and N.S. was partly funded by the National Institute for Health Research (NIHR). The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. M.D.T. holds a Medical Research Council Senior Clinical Fellowship (G0902313). I.P.H. holds a Medical Research Council programme grant (G1000861). The UK BiLEVE study was funded by a Medical Research Council (MRC) strategic award to M.D.T., I.P.H., L.V.W. and David Strachan (MC_PC_12010).
                Categories
                Research Article
                Medicine and Health Sciences
                Pulmonology
                Chronic Obstructive Pulmonary Disease
                Biology and Life Sciences
                Genetics
                Genetic Loci
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                Biology and Life Sciences
                Computational Biology
                Genome Analysis
                Genome-Wide Association Studies
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