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  • 1
    Publication Date: 2013-05-24
    Description: Genome-wide association studies (GWAS) have identified common variants of modest-effect size at hundreds of loci for common autoimmune diseases; however, a substantial fraction of heritability remains unexplained, to which rare variants may contribute. To discover rare variants and test them for association with a phenotype, most studies re-sequence a small initial sample size and then genotype the discovered variants in a larger sample set. This approach fails to analyse a large fraction of the rare variants present in the entire sample set. Here we perform simultaneous amplicon-sequencing-based variant discovery and genotyping for coding exons of 25 GWAS risk genes in 41,911 UK residents of white European origin, comprising 24,892 subjects with six autoimmune disease phenotypes and 17,019 controls, and show that rare coding-region variants at known loci have a negligible role in common autoimmune disease susceptibility. These results do not support the rare-variant synthetic genome-wide-association hypothesis (in which unobserved rare causal variants lead to association detected at common tag variants). Many known autoimmune disease risk loci contain multiple, independently associated, common and low-frequency variants, and so genes at these loci are a priori stronger candidates for harbouring rare coding-region variants than other genes. Our data indicate that the missing heritability for common autoimmune diseases may not be attributable to the rare coding-region variant portion of the allelic spectrum, but perhaps, as others have proposed, may be a result of many common-variant loci of weak effect.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3736321/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3736321/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hunt, Karen A -- Mistry, Vanisha -- Bockett, Nicholas A -- Ahmad, Tariq -- Ban, Maria -- Barker, Jonathan N -- Barrett, Jeffrey C -- Blackburn, Hannah -- Brand, Oliver -- Burren, Oliver -- Capon, Francesca -- Compston, Alastair -- Gough, Stephen C L -- Jostins, Luke -- Kong, Yong -- Lee, James C -- Lek, Monkol -- MacArthur, Daniel G -- Mansfield, John C -- Mathew, Christopher G -- Mein, Charles A -- Mirza, Muddassar -- Nutland, Sarah -- Onengut-Gumuscu, Suna -- Papouli, Efterpi -- Parkes, Miles -- Rich, Stephen S -- Sawcer, Steven -- Satsangi, Jack -- Simmonds, Matthew J -- Trembath, Richard C -- Walker, Neil M -- Wozniak, Eva -- Todd, John A -- Simpson, Michael A -- Plagnol, Vincent -- van Heel, David A -- 068181/Wellcome Trust/United Kingdom -- 068545/Z/02/Wellcome Trust/United Kingdom -- 076113/C/04/Z/Wellcome Trust/United Kingdom -- 091157/Wellcome Trust/United Kingdom -- 100140/Wellcome Trust/United Kingdom -- CZB/4/540/Chief Scientist Office/United Kingdom -- ETM/137/Chief Scientist Office/United Kingdom -- ETM/75/Chief Scientist Office/United Kingdom -- G0000934/Medical Research Council/United Kingdom -- G0600329/Medical Research Council/United Kingdom -- G0601387/Medical Research Council/United Kingdom -- G0800759/Medical Research Council/United Kingdom -- G1001158/Medical Research Council/United Kingdom -- G1001158(95979)/Medical Research Council/United Kingdom -- JDRF 4-2001-1008/Wellcome Trust/United Kingdom -- WT061858/Wellcome Trust/United Kingdom -- England -- Nature. 2013 Jun 13;498(7453):232-5. doi: 10.1038/nature12170. Epub 2013 May 22.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23698362" target="_blank"〉PubMed〈/a〉
    Keywords: Autoimmune Diseases/*genetics ; European Continental Ancestry Group/genetics ; Exons/genetics ; Gene Frequency ; Genetic Predisposition to Disease/*genetics ; Genetic Variation/*genetics ; Genome-Wide Association Study ; Great Britain ; Humans ; Models, Genetic ; Mutation/genetics ; Open Reading Frames/*genetics ; Phenotype ; Sample Size
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2016-03-05
    Description: Examining complete gene knockouts within a viable organism can inform on gene function. We sequenced the exomes of 3222 British adults of Pakistani heritage with high parental relatedness, discovering 1111 rare-variant homozygous genotypes with predicted loss of function (knockouts) in 781 genes. We observed 13.7% fewer homozygous knockout genotypes than we expected, implying an average load of 1.6 recessive-lethal-equivalent loss-of-function (LOF) variants per adult. When genetic data were linked to the individuals' lifelong health records, we observed no significant relationship between gene knockouts and clinical consultation or prescription rate. In this data set, we identified a healthy PRDM9-knockout mother and performed phased genome sequencing on her, her child, and control individuals. Our results show that meiotic recombination sites are localized away from PRDM9-dependent hotspots. Thus, natural LOF variants inform on essential genetic loci and demonstrate PRDM9 redundancy in humans.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Narasimhan, Vagheesh M -- Hunt, Karen A -- Mason, Dan -- Baker, Christopher L -- Karczewski, Konrad J -- Barnes, Michael R -- Barnett, Anthony H -- Bates, Chris -- Bellary, Srikanth -- Bockett, Nicholas A -- Giorda, Kristina -- Griffiths, Christopher J -- Hemingway, Harry -- Jia, Zhilong -- Kelly, M Ann -- Khawaja, Hajrah A -- Lek, Monkol -- McCarthy, Shane -- McEachan, Rosie -- O'Donnell-Luria, Anne -- Paigen, Kenneth -- Parisinos, Constantinos A -- Sheridan, Eamonn -- Southgate, Laura -- Tee, Louise -- Thomas, Mark -- Xue, Yali -- Schnall-Levin, Michael -- Petkov, Petko M -- Tyler-Smith, Chris -- Maher, Eamonn R -- Trembath, Richard C -- MacArthur, Daniel G -- Wright, John -- Durbin, Richard -- van Heel, David A -- GM 099640/GM/NIGMS NIH HHS/ -- MR/M009017/1/Medical Research Council/United Kingdom -- R01 GM104371/GM/NIGMS NIH HHS/ -- R01GM104371/GM/NIGMS NIH HHS/ -- WT098051/Wellcome Trust/United Kingdom -- WT099769/Wellcome Trust/United Kingdom -- WT101597/Wellcome Trust/United Kingdom -- WT102627/Wellcome Trust/United Kingdom -- British Heart Foundation/United Kingdom -- Arthritis Research UK/United Kingdom -- Cancer Research UK/United Kingdom -- Department of Health/United Kingdom -- Chief Scientist Office/United Kingdom -- New York, N.Y. -- Science. 2016 Apr 22;352(6284):474-7. doi: 10.1126/science.aac8624. Epub 2016 Mar 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK. ; Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK. ; Bradford Institute for Health Research, Bradford Teaching Hospitals National Health Service (NHS) Foundation Trust, Bradford BD9 6RJ, UK. ; Center for Genome Dynamics, The Jackson Laboratory, Bar Harbor, ME 04609, USA. ; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA. Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. ; William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK. ; Diabetes and Endocrine Centre, Heart of England NHS Foundation Trust and University of Birmingham, Birmingham B9 5SS, UK. ; TPP, Mill House, Troy Road, Leeds LS18 5TN, UK. ; Aston Research Centre for Healthy Ageing, Aston University, Birmingham B4 7ET, UK. ; 10X Genomics, 7068 Koll Center Parkway, Suite 415, Pleasanton, CA 94566, USA. ; Farr Institute of Health Informatics Research, London NW1 2DA, UK. Institute of Health Informatics, University College London, London NW1 2DA, UK. ; School of Clinical and Experimental Medicine, University of Birmingham, Birmingham B15 2TT, UK. ; Department of Medical Genetics, University of Cambridge and National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre, Box 238, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK. Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK. ; Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK. Faculty of Life Sciences and Medicine, King's College London, London SE1 1UL, UK. ; Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK. rd@sanger.ac.uk d.vanheel@qmul.ac.uk. ; Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK. rd@sanger.ac.uk d.vanheel@qmul.ac.uk.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26940866" target="_blank"〉PubMed〈/a〉
    Keywords: Adult ; *Consanguinity ; DNA Mutational Analysis ; Drug Prescriptions ; Exome/genetics ; Female ; Fertility ; Gene Knockout Techniques ; Genes, Lethal ; Genetic Loci ; Genome, Human ; Great Britain ; *Health ; Histone-Lysine N-Methyltransferase/*genetics ; Homologous Recombination ; Homozygote ; Humans ; Male ; Mothers ; Pakistan/ethnology ; Phenotype
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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