ALBERT

Description: Structural variations of DNA greater than 1 kilobase in size account for most bases that vary among human genomes, but are still relatively under-ascertained. Here we use tiling oligonucleotide microarrays, comprising 42 million probes, to generate a comprehensive map of 11,700 copy number variations (CNVs) greater than 443 base pairs, of which most (8,599) have been validated independently. For 4,978 of these CNVs, we generated reference genotypes from 450 individuals of European, African or East Asian ancestry. The predominant mutational mechanisms differ among CNV size classes. Retrotransposition has duplicated and inserted some coding and non-coding DNA segments randomly around the genome. Furthermore, by correlation with known trait-associated single nucleotide polymorphisms (SNPs), we identified 30 loci with CNVs that are candidates for influencing disease susceptibility. Despite this, having assessed the completeness of our map and the patterns of linkage disequilibrium between CNVs and SNPs, we conclude that, for complex traits, the heritability void left by genome-wide association studies will not be accounted for by common CNVs.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3330748/" 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/PMC3330748/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Conrad, Donald F -- Pinto, Dalila -- Redon, Richard -- Feuk, Lars -- Gokcumen, Omer -- Zhang, Yujun -- Aerts, Jan -- Andrews, T Daniel -- Barnes, Chris -- Campbell, Peter -- Fitzgerald, Tomas -- Hu, Min -- Ihm, Chun Hwa -- Kristiansson, Kati -- Macarthur, Daniel G -- Macdonald, Jeffrey R -- Onyiah, Ifejinelo -- Pang, Andy Wing Chun -- Robson, Sam -- Stirrups, Kathy -- Valsesia, Armand -- Walter, Klaudia -- Wei, John -- Wellcome Trust Case Control Consortium -- Tyler-Smith, Chris -- Carter, Nigel P -- Lee, Charles -- Scherer, Stephen W -- Hurles, Matthew E -- 077006/Z/05/Z/Wellcome Trust/United Kingdom -- 077008/Wellcome Trust/United Kingdom -- 077009/Wellcome Trust/United Kingdom -- 077014/Wellcome Trust/United Kingdom -- 088340/Wellcome Trust/United Kingdom -- GM081533/GM/NIGMS NIH HHS/ -- HG004221/HG/NHGRI NIH HHS/ -- Canadian Institutes of Health Research/Canada -- England -- Nature. 2010 Apr 1;464(7289):704-12. doi: 10.1038/nature08516. Epub 2009 Oct 7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19812545" target="_blank"〉PubMed〈/a〉

Description: Genome-sequencing studies indicate that all humans carry many genetic variants predicted to cause loss of function (LoF) of protein-coding genes, suggesting unexpected redundancy in the human genome. Here we apply stringent filters to 2951 putative LoF variants obtained from 185 human genomes to determine their true prevalence and properties. We estimate that human genomes typically contain ~100 genuine LoF variants with ~20 genes completely inactivated. We identify rare and likely deleterious LoF alleles, including 26 known and 21 predicted severe disease-causing variants, as well as common LoF variants in nonessential genes. We describe functional and evolutionary differences between LoF-tolerant and recessive disease genes and a method for using these differences to prioritize candidate genes found in clinical sequencing studies.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3299548/" 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/PMC3299548/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉MacArthur, Daniel G -- Balasubramanian, Suganthi -- Frankish, Adam -- Huang, Ni -- Morris, James -- Walter, Klaudia -- Jostins, Luke -- Habegger, Lukas -- Pickrell, Joseph K -- Montgomery, Stephen B -- Albers, Cornelis A -- Zhang, Zhengdong D -- Conrad, Donald F -- Lunter, Gerton -- Zheng, Hancheng -- Ayub, Qasim -- DePristo, Mark A -- Banks, Eric -- Hu, Min -- Handsaker, Robert E -- Rosenfeld, Jeffrey A -- Fromer, Menachem -- Jin, Mike -- Mu, Xinmeng Jasmine -- Khurana, Ekta -- Ye, Kai -- Kay, Mike -- Saunders, Gary Ian -- Suner, Marie-Marthe -- Hunt, Toby -- Barnes, If H A -- Amid, Clara -- Carvalho-Silva, Denise R -- Bignell, Alexandra H -- Snow, Catherine -- Yngvadottir, Bryndis -- Bumpstead, Suzannah -- Cooper, David N -- Xue, Yali -- Romero, Irene Gallego -- 1000 Genomes Project Consortium -- Wang, Jun -- Li, Yingrui -- Gibbs, Richard A -- McCarroll, Steven A -- Dermitzakis, Emmanouil T -- Pritchard, Jonathan K -- Barrett, Jeffrey C -- Harrow, Jennifer -- Hurles, Matthew E -- Gerstein, Mark B -- Tyler-Smith, Chris -- 085532/Wellcome Trust/United Kingdom -- 090532/Wellcome Trust/United Kingdom -- 090532/Z/09/Z/Wellcome Trust/United Kingdom -- 098051/Wellcome Trust/United Kingdom -- BB/I02593X/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- RG/09/012/28096/British Heart Foundation/United Kingdom -- U54 HG003273/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2012 Feb 17;335(6070):823-8. doi: 10.1126/science.1215040.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Sanger Institute, Hinxton, UK. macarthur@atgu.mgh.harvard.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22344438" target="_blank"〉PubMed〈/a〉

Description: Copy number variants (CNVs) account for a major proportion of human genetic polymorphism and have been predicted to have an important role in genetic susceptibility to common disease. To address this we undertook a large, direct genome-wide study of association between CNVs and eight common human diseases. Using a purpose-designed array we typed approximately 19,000 individuals into distinct copy-number classes at 3,432 polymorphic CNVs, including an estimated approximately 50% of all common CNVs larger than 500 base pairs. We identified several biological artefacts that lead to false-positive associations, including systematic CNV differences between DNAs derived from blood and cell lines. Association testing and follow-up replication analyses confirmed three loci where CNVs were associated with disease-IRGM for Crohn's disease, HLA for Crohn's disease, rheumatoid arthritis and type 1 diabetes, and TSPAN8 for type 2 diabetes-although in each case the locus had previously been identified in single nucleotide polymorphism (SNP)-based studies, reflecting our observation that most common CNVs that are well-typed on our array are well tagged by SNPs and so have been indirectly explored through SNP studies. We conclude that common CNVs that can be typed on existing platforms are unlikely to contribute greatly to the genetic basis of common human diseases.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2892339/" 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/PMC2892339/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wellcome Trust Case Control Consortium -- Craddock, Nick -- Hurles, Matthew E -- Cardin, Niall -- Pearson, Richard D -- Plagnol, Vincent -- Robson, Samuel -- Vukcevic, Damjan -- Barnes, Chris -- Conrad, Donald F -- Giannoulatou, Eleni -- Holmes, Chris -- Marchini, Jonathan L -- Stirrups, Kathy -- Tobin, Martin D -- Wain, Louise V -- Yau, Chris -- Aerts, Jan -- Ahmad, Tariq -- Andrews, T Daniel -- Arbury, Hazel -- Attwood, Anthony -- Auton, Adam -- Ball, Stephen G -- Balmforth, Anthony J -- Barrett, Jeffrey C -- Barroso, Ines -- Barton, Anne -- Bennett, Amanda J -- Bhaskar, Sanjeev -- Blaszczyk, Katarzyna -- Bowes, John -- Brand, Oliver J -- Braund, Peter S -- Bredin, Francesca -- Breen, Gerome -- Brown, Morris J -- Bruce, Ian N -- Bull, Jaswinder -- Burren, Oliver S -- Burton, John -- Byrnes, Jake -- Caesar, Sian -- Clee, Chris M -- Coffey, Alison J -- Connell, John M C -- Cooper, Jason D -- Dominiczak, Anna F -- Downes, Kate -- Drummond, Hazel E -- Dudakia, Darshna -- Dunham, Andrew -- Ebbs, Bernadette -- Eccles, Diana -- Edkins, Sarah -- Edwards, Cathryn -- Elliot, Anna -- Emery, Paul -- Evans, David M -- Evans, Gareth -- Eyre, Steve -- Farmer, Anne -- Ferrier, I Nicol -- Feuk, Lars -- Fitzgerald, Tomas -- Flynn, Edward -- Forbes, Alistair -- Forty, Liz -- Franklyn, Jayne A -- Freathy, Rachel M -- Gibbs, Polly -- Gilbert, Paul -- Gokumen, Omer -- Gordon-Smith, Katherine -- Gray, Emma -- Green, Elaine -- Groves, Chris J -- Grozeva, Detelina -- Gwilliam, Rhian -- Hall, Anita -- Hammond, Naomi -- Hardy, Matt -- Harrison, Pile -- Hassanali, Neelam -- Hebaishi, Husam -- Hines, Sarah -- Hinks, Anne -- Hitman, Graham A -- Hocking, Lynne -- Howard, Eleanor -- Howard, Philip -- Howson, Joanna M M -- Hughes, Debbie -- Hunt, Sarah -- Isaacs, John D -- Jain, Mahim -- Jewell, Derek P -- Johnson, Toby -- Jolley, Jennifer D -- Jones, Ian R -- Jones, Lisa A -- Kirov, George -- Langford, Cordelia F -- Lango-Allen, Hana -- Lathrop, G Mark -- Lee, James -- Lee, Kate L -- Lees, Charlie -- Lewis, Kevin -- Lindgren, Cecilia M -- Maisuria-Armer, Meeta -- Maller, Julian -- Mansfield, John -- Martin, Paul -- Massey, Dunecan C O -- McArdle, Wendy L -- McGuffin, Peter -- McLay, Kirsten E -- Mentzer, Alex -- Mimmack, Michael L -- Morgan, Ann E -- Morris, Andrew P -- Mowat, Craig -- Myers, Simon -- Newman, William -- Nimmo, Elaine R -- O'Donovan, Michael C -- Onipinla, Abiodun -- Onyiah, Ifejinelo -- Ovington, Nigel R -- Owen, Michael J -- Palin, Kimmo -- Parnell, Kirstie -- Pernet, David -- Perry, John R B -- Phillips, Anne -- Pinto, Dalila -- Prescott, Natalie J -- Prokopenko, Inga -- Quail, Michael A -- Rafelt, Suzanne -- Rayner, Nigel W -- Redon, Richard -- Reid, David M -- Renwick -- Ring, Susan M -- Robertson, Neil -- Russell, Ellie -- St Clair, David -- Sambrook, Jennifer G -- Sanderson, Jeremy D -- Schuilenburg, Helen -- Scott, Carol E -- Scott, Richard -- Seal, Sheila -- Shaw-Hawkins, Sue -- Shields, Beverley M -- Simmonds, Matthew J -- Smyth, Debbie J -- Somaskantharajah, Elilan -- Spanova, Katarina -- Steer, Sophia -- Stephens, Jonathan -- Stevens, Helen E -- Stone, Millicent A -- Su, Zhan -- Symmons, Deborah P M -- Thompson, John R -- Thomson, Wendy -- Travers, Mary E -- Turnbull, Clare -- Valsesia, Armand -- Walker, Mark -- Walker, Neil M -- Wallace, Chris -- Warren-Perry, Margaret -- Watkins, Nicholas A -- Webster, John -- Weedon, Michael N -- Wilson, Anthony G -- Woodburn, Matthew -- Wordsworth, B Paul -- Young, Allan H -- Zeggini, Eleftheria -- Carter, Nigel P -- Frayling, Timothy M -- Lee, Charles -- McVean, Gil -- Munroe, Patricia B -- Palotie, Aarno -- Sawcer, Stephen J -- Scherer, Stephen W -- Strachan, David P -- Tyler-Smith, Chris -- Brown, Matthew A -- Burton, Paul R -- Caulfield, Mark J -- Compston, Alastair -- Farrall, Martin -- Gough, Stephen C L -- Hall, Alistair S -- Hattersley, Andrew T -- Hill, Adrian V S -- Mathew, Christopher G -- Pembrey, Marcus -- Satsangi, Jack -- Stratton, Michael R -- Worthington, Jane -- Deloukas, Panos -- Duncanson, Audrey -- Kwiatkowski, Dominic P -- McCarthy, Mark I -- Ouwehand, Willem -- Parkes, Miles -- Rahman, Nazneen -- Todd, John A -- Samani, Nilesh J -- Donnelly, Peter -- 061858/Wellcome Trust/United Kingdom -- 083948/Wellcome Trust/United Kingdom -- 089989/Wellcome Trust/United Kingdom -- 090532/Wellcome Trust/United Kingdom -- 17552/Arthritis Research UK/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 -- G0400874/Medical Research Council/United Kingdom -- G0500115/Medical Research Council/United Kingdom -- G0501942/Medical Research Council/United Kingdom -- G0600329/Medical Research Council/United Kingdom -- G0600705/Medical Research Council/United Kingdom -- G0700491/Medical Research Council/United Kingdom -- G0701003/Medical Research Council/United Kingdom -- G0701420/Medical Research Council/United Kingdom -- G0701810/Medical Research Council/United Kingdom -- G0701810(85517)/Medical Research Council/United Kingdom -- G0800383/Medical Research Council/United Kingdom -- G0800509/Medical Research Council/United Kingdom -- G0800759/Medical Research Council/United Kingdom -- G19/9/Medical Research Council/United Kingdom -- G90/106/Medical Research Council/United Kingdom -- G9521010/Medical Research Council/United Kingdom -- MC_UP_A390_1107/Medical Research Council/United Kingdom -- RG/09/012/28096/British Heart Foundation/United Kingdom -- Wellcome Trust/United Kingdom -- England -- Nature. 2010 Apr 1;464(7289):713-20. doi: 10.1038/nature08979.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20360734" target="_blank"〉PubMed〈/a〉

Description: The discovery of rare genetic variants is accelerating, and clear guidelines for distinguishing disease-causing sequence variants from the many potentially functional variants present in any human genome are urgently needed. Without rigorous standards we risk an acceleration of false-positive reports of causality, which would impede the translation of genomic research findings into the clinical diagnostic setting and hinder biological understanding of disease. Here we discuss the key challenges of assessing sequence variants in human disease, integrating both gene-level and variant-level support for causality. We propose guidelines for summarizing confidence in variant pathogenicity and highlight several areas that require further resource development.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4180223/" 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/PMC4180223/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉MacArthur, D G -- Manolio, T A -- Dimmock, D P -- Rehm, H L -- Shendure, J -- Abecasis, G R -- Adams, D R -- Altman, R B -- Antonarakis, S E -- Ashley, E A -- Barrett, J C -- Biesecker, L G -- Conrad, D F -- Cooper, G M -- Cox, N J -- Daly, M J -- Gerstein, M B -- Goldstein, D B -- Hirschhorn, J N -- Leal, S M -- Pennacchio, L A -- Stamatoyannopoulos, J A -- Sunyaev, S R -- Valle, D -- Voight, B F -- Winckler, W -- Gunter, C -- P30 DK020595/DK/NIDDK NIH HHS/ -- P30 DK042086/DK/NIDDK NIH HHS/ -- R01 HG007022/HG/NHGRI NIH HHS/ -- R01 HL117626/HL/NHLBI NIH HHS/ -- R01 MH101810/MH/NIMH NIH HHS/ -- U54 HG006997/HG/NHGRI NIH HHS/ -- England -- Nature. 2014 Apr 24;508(7497):469-76. doi: 10.1038/nature13127.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts 02114, USA [2] Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA. ; Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, Maryland 20892, USA. ; Division of Genetics, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA. ; 1] Laboratory for Molecular Medicine, Partners Healthcare Center for Personalized Genetic Medicine, Cambridge, Massachusetts 02139, USA [2] Department of Pathology, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Department of Genome Sciences, University of Washington, Seattle, Washington 98115, USA. ; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA. ; 1] NIH Undiagnosed Diseases Program, National Institutes of Health Office of Rare Diseases Research and National Human Genome Research Institute, Bethesda, Maryland 20892, USA [2] Office of the Clinical Director, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA. ; Departments of Bioengineering & Genetics, Stanford University, Stanford, California 94305, USA. ; 1] Department of Genetic Medicine, University of Geneva Medical School, 1211 Geneva, Switzerland [2] iGE3 Institute of Genetics and Genomics of Geneva, 1211 Geneva, Switzerland. ; Center for Inherited Cardiovascular Disease, Stanford University School of Medicine, Stanford, California 94305, USA. ; Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1HH, UK. ; Genetic Disease Research Branch, National Human Genome Research Institute, NIH, Bethesda, Maryland 20892, USA. ; Departments of Genetics, Pathology and Immunology, Washington University School of Medicine, St Louis, Missouri 63110, USA. ; HudsonAlpha Institute for Biotechnology, 601 Genome Way, Huntsville, Alabama 35806, USA. ; Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA. ; 1] Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA [2] Departments of Computer Science, Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut 06520, USA. ; Center for Human Genome Variation, Duke University School of Medicine, Durham, North Carolina 27708, USA. ; 1] Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA [2] Divisions of Genetics and Endocrinology, Children's Hospital, Boston, Massachusetts 02115, USA. ; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA. ; 1] Genomics Division, MS 84-171, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA [2] US Department of Energy Joint Genome Institute, Walnut Creek, California 94598, USA. ; Department of Genome Sciences, University of Washington, 1705 Northeast Pacific Street, Seattle, Washington 98195, USA. ; 1] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA [2] Harvard Medical School, Boston, Massachusetts 02115, USA. ; McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA. ; Department of Pharmacology and Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104, USA. ; 1] Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA [2] Next Generation Diagnostics, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts, USA (W.W.); Marcus Autism Center, Children's Healthcare of Atlanta, Atlanta, Georgia 30329, USA (C.G.). ; 1] HudsonAlpha Institute for Biotechnology, 601 Genome Way, Huntsville, Alabama 35806, USA [2] Next Generation Diagnostics, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts, USA (W.W.); Marcus Autism Center, Children's Healthcare of Atlanta, Atlanta, Georgia 30329, USA (C.G.).〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24759409" target="_blank"〉PubMed〈/a〉

Description: Genomic structural variants (SVs) are abundant in humans, differing from other forms of variation in extent, origin and functional impact. Despite progress in SV characterization, the nucleotide resolution architecture of most SVs remains unknown. We constructed a map of unbalanced SVs (that is, copy number variants) based on whole genome DNA sequencing data from 185 human genomes, integrating evidence from complementary SV discovery approaches with extensive experimental validations. Our map encompassed 22,025 deletions and 6,000 additional SVs, including insertions and tandem duplications. Most SVs (53%) were mapped to nucleotide resolution, which facilitated analysing their origin and functional impact. We examined numerous whole and partial gene deletions with a genotyping approach and observed a depletion of gene disruptions amongst high frequency deletions. Furthermore, we observed differences in the size spectra of SVs originating from distinct formation mechanisms, and constructed a map of SV hotspots formed by common mechanisms. Our analytical framework and SV map serves as a resource for sequencing-based association studies.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3077050/" 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/PMC3077050/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mills, Ryan E -- Walter, Klaudia -- Stewart, Chip -- Handsaker, Robert E -- Chen, Ken -- Alkan, Can -- Abyzov, Alexej -- Yoon, Seungtai Chris -- Ye, Kai -- Cheetham, R Keira -- Chinwalla, Asif -- Conrad, Donald F -- Fu, Yutao -- Grubert, Fabian -- Hajirasouliha, Iman -- Hormozdiari, Fereydoun -- Iakoucheva, Lilia M -- Iqbal, Zamin -- Kang, Shuli -- Kidd, Jeffrey M -- Konkel, Miriam K -- Korn, Joshua -- Khurana, Ekta -- Kural, Deniz -- Lam, Hugo Y K -- Leng, Jing -- Li, Ruiqiang -- Li, Yingrui -- Lin, Chang-Yun -- Luo, Ruibang -- Mu, Xinmeng Jasmine -- Nemesh, James -- Peckham, Heather E -- Rausch, Tobias -- Scally, Aylwyn -- Shi, Xinghua -- Stromberg, Michael P -- Stutz, Adrian M -- Urban, Alexander Eckehart -- Walker, Jerilyn A -- Wu, Jiantao -- Zhang, Yujun -- Zhang, Zhengdong D -- Batzer, Mark A -- Ding, Li -- Marth, Gabor T -- McVean, Gil -- Sebat, Jonathan -- Snyder, Michael -- Wang, Jun -- Ye, Kenny -- Eichler, Evan E -- Gerstein, Mark B -- Hurles, Matthew E -- Lee, Charles -- McCarroll, Steven A -- Korbel, Jan O -- 1000 Genomes Project -- 062023/Wellcome Trust/United Kingdom -- 077009/Wellcome Trust/United Kingdom -- 077014/Wellcome Trust/United Kingdom -- 077192/Wellcome Trust/United Kingdom -- 085532/Wellcome Trust/United Kingdom -- G0701805/Medical Research Council/United Kingdom -- G1000758/Medical Research Council/United Kingdom -- P01 HG004120/HG/NHGRI NIH HHS/ -- P41 HG004221/HG/NHGRI NIH HHS/ -- P41 HG004221-01/HG/NHGRI NIH HHS/ -- P41 HG004221-02/HG/NHGRI NIH HHS/ -- P41 HG004221-03/HG/NHGRI NIH HHS/ -- P41 HG004221-03S1/HG/NHGRI NIH HHS/ -- P41 HG004221-03S2/HG/NHGRI NIH HHS/ -- P41 HG004221-03S3/HG/NHGRI NIH HHS/ -- R01 GM059290/GM/NIGMS NIH HHS/ -- R01 GM081533/GM/NIGMS NIH HHS/ -- R01 GM081533-01A1/GM/NIGMS NIH HHS/ -- R01 GM081533-02/GM/NIGMS NIH HHS/ -- R01 GM081533-03/GM/NIGMS NIH HHS/ -- R01 GM081533-04/GM/NIGMS NIH HHS/ -- R01 GM59290/GM/NIGMS NIH HHS/ -- R01 HG004719/HG/NHGRI NIH HHS/ -- R01 HG004719-01/HG/NHGRI NIH HHS/ -- R01 HG004719-02/HG/NHGRI NIH HHS/ -- R01 HG004719-02S1/HG/NHGRI NIH HHS/ -- R01 HG004719-03/HG/NHGRI NIH HHS/ -- R01 HG004719-04/HG/NHGRI NIH HHS/ -- R01 MH091350/MH/NIMH NIH HHS/ -- RC2 HG005552/HG/NHGRI NIH HHS/ -- RC2 HG005552-01/HG/NHGRI NIH HHS/ -- RC2 HG005552-02/HG/NHGRI NIH HHS/ -- U01 HG005209/HG/NHGRI NIH HHS/ -- U01 HG005209-01/HG/NHGRI NIH HHS/ -- U01 HG005209-02/HG/NHGRI NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2011 Feb 3;470(7332):59-65. doi: 10.1038/nature09708.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21293372" target="_blank"〉PubMed〈/a〉

Description: Accurate prediction of the functional effect of genetic variation is critical for clinical genome interpretation. We systematically characterized the transcriptome effects of protein-truncating variants, a class of variants expected to have profound effects on gene function, using data from the Genotype-Tissue Expression (GTEx) and Geuvadis projects. We quantitated tissue-specific and positional effects on nonsense-mediated transcript decay and present an improved predictive model for this decay. We directly measured the effect of variants both proximal and distal to splice junctions. Furthermore, we found that robustness to heterozygous gene inactivation is not due to dosage compensation. Our results illustrate the value of transcriptome data in the functional interpretation of genetic variants.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4537935/" 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/PMC4537935/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Rivas, Manuel A -- Pirinen, Matti -- Conrad, Donald F -- Lek, Monkol -- Tsang, Emily K -- Karczewski, Konrad J -- Maller, Julian B -- Kukurba, Kimberly R -- DeLuca, David S -- Fromer, Menachem -- Ferreira, Pedro G -- Smith, Kevin S -- Zhang, Rui -- Zhao, Fengmei -- Banks, Eric -- Poplin, Ryan -- Ruderfer, Douglas M -- Purcell, Shaun M -- Tukiainen, Taru -- Minikel, Eric V -- Stenson, Peter D -- Cooper, David N -- Huang, Katharine H -- Sullivan, Timothy J -- Nedzel, Jared -- GTEx Consortium -- Geuvadis Consortium -- Bustamante, Carlos D -- Li, Jin Billy -- Daly, Mark J -- Guigo, Roderic -- Donnelly, Peter -- Ardlie, Kristin -- Sammeth, Michael -- Dermitzakis, Emmanouil T -- McCarthy, Mark I -- Montgomery, Stephen B -- Lappalainen, Tuuli -- MacArthur, Daniel G -- 090532/Wellcome Trust/United Kingdom -- 090532/Z/09/Z/Wellcome Trust/United Kingdom -- 095552/Wellcome Trust/United Kingdom -- 095552/Z/11/Z/Wellcome Trust/United Kingdom -- 098381/Wellcome Trust/United Kingdom -- DA006227/DA/NIDA NIH HHS/ -- HHSN261200800001E/CA/NCI NIH HHS/ -- HHSN261200800001E/PHS HHS/ -- HHSN268201000029C/HL/NHLBI NIH HHS/ -- HHSN268201000029C/PHS HHS/ -- MH090936/MH/NIMH NIH HHS/ -- MH090937/MH/NIMH NIH HHS/ -- MH090941/MH/NIMH NIH HHS/ -- MH090948/MH/NIMH NIH HHS/ -- MH090951/MH/NIMH NIH HHS/ -- P30 DK020595/DK/NIDDK NIH HHS/ -- R01 GM104371/GM/NIGMS NIH HHS/ -- R01 MH090941/MH/NIMH NIH HHS/ -- R01 MH101810/MH/NIMH NIH HHS/ -- R01 MH101814/MH/NIMH NIH HHS/ -- R01 MH101820/MH/NIMH NIH HHS/ -- R01GM104371/GM/NIGMS NIH HHS/ -- R01MH090941/MH/NIMH NIH HHS/ -- R01MH101810/MH/NIMH NIH HHS/ -- R01MH101814/MH/NIMH NIH HHS/ -- U01 HG007593/HG/NHGRI NIH HHS/ -- U01HG007593/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2015 May 8;348(6235):666-9. doi: 10.1126/science.1261877.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Centre for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK. rivas@well.ox.ac.uk tlappalainen@nygenome.org macarthur@atgu.mgh.harvard.edu. ; FInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland. ; Washington University in St. Louis, St. Louis, MO, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. ; Department of Genetics, Stanford University, Stanford, CA, USA. Department of Pathology, Stanford University, Stanford, CA, USA. Biomedical Informatics Program, Stanford University, Stanford, CA, USA. ; Department of Genetics, Stanford University, Stanford, CA, USA. Department of Pathology, Stanford University, Stanford, CA, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. Department of Psychiatry, Mt. Sinai Hospital, NY, USA. ; Department of Genetic Medicine and Development,University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. ; Department of Genetics, Stanford University, Stanford, CA, USA. ; Department of Psychiatry, Mt. Sinai Hospital, NY, USA. Division of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. Department of Psychiatry, Mt. Sinai Hospital, NY, USA. Division of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY, USA. ; Institute of Medical Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, UK. ; Center for Genomic Regulation (CRG), Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. ; Wellcome Trust Centre for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK. Department of Statistics, University of Oxford, Oxford, UK. ; Center for Genomic Regulation (CRG), Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. National Institute for Scientific Computing (LNCC), Petropolis, Rio de Janeiro, Brazil. ; Wellcome Trust Centre for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK. Oxford Center for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK. ; Department of Genetics, Stanford University, Stanford, CA, USA. Department of Genetic Medicine and Development,University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. New York Genome Center, New York, NY, USA. Department of Systems Biology, Columbia University, New York, NY, USA. rivas@well.ox.ac.uk tlappalainen@nygenome.org macarthur@atgu.mgh.harvard.edu. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. Department of Medicine, Harvard Medical School, Boston, MA, USA. rivas@well.ox.ac.uk tlappalainen@nygenome.org macarthur@atgu.mgh.harvard.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25954003" target="_blank"〉PubMed〈/a〉

Description: Genome-wide association studies (GWAS) have identified several common loci contributing to non-obstructive azoospermia (NOA). However, a substantial fraction of NOA heritability remains undefined, especially those low-frequency [defined here as having a minor allele frequency (MAF) between 0.5 and 5%] and rare (MAF below 0.5%) variants. Here, we performed a 3-stage exome-wide association study in Han Chinese men to evaluate the role of low-frequency or rare germline variants in NOA development. The discovery stage included 962 NOA cases and 1348 healthy male controls genotyped by exome chips and was followed by a 2-stage replication with an additional 2168 cases and 5248 controls. We identified three low-frequency variants located at 6p22.2 (rs2298090 in HIST1H1E encoding p.Lys152Arg: OR = 0.30, P = 2.40 x 10 –16 ) and 6p21.33 (rs200847762 in FKBPL encoding p.Pro137Leu: OR = 0.11, P = 3.77 x 10 –16 ; rs11754464 in MSH5 : OR = 1.78, P = 3.71 x 10 –7 ) associated with NOA risk after Bonferroni correction. In summary, we report an instance of newly identified signals for NOA risk in genes previously undetected through GWAS on 6p22.2–6p21.33 in a Chinese population and highlight the role of low-frequency variants with a large effect in the process of spermatogenesis.

Description: Spermatozoa are one of the few mammalian cell types that cannot be fully derived in vitro , severely limiting the application of modern genomic techniques to study germ cell biology. The current gold standard approach of characterizing single-gene knockout mice is slow as generation of each mutant line can take 6–9 months. Here, we describe an in vivo approach to rapid functional screening of germline genes based on a new nonsurgical, nonviral in vivo transfection method to deliver nucleic acids into testicular germ cells. By coupling multiplex transfection of short hairpin RNA (shRNA) constructs with pooled amplicon sequencing as a readout, we were able to screen many genes for spermatogenesis function in a quick and inexpensive experiment. We transfected nine mouse testes with a pilot pool of RNA interference (RNAi) against well-characterized genes to show that this system is highly reproducible and accurate. With a false negative rate of 18% and a false positive rate of 12%, this method has similar performance as other RNAi screens in the well-described Drosophila model system. In a separate experiment, we screened 26 uncharacterized genes computationally predicted to be essential for spermatogenesis and found numerous candidates for follow-up studies. Finally, as a control experiment, we performed a long-term selection screen in neuronal N2a cells, sampling shRNA frequencies at five sequential time points. By characterizing the effect of both libraries on N2a cells, we show that our screening results from testis are tissue-specific. Our calculations indicate that the current implementation of this approach could be used to screen thousands of protein-coding genes simultaneously in a single mouse testis. The experimental protocols and analysis scripts provided will enable other groups to use this procedure to study diverse aspects of germ cell biology ranging from epigenetics to cell physiology. This approach also has great promise as an applied tool for validating diagnoses made from medical genome sequencing, or designing synthetic biological sequences that can act as potent and highly specific male contraceptives.