ALBERT

Description: The human genome is arguably the most complete mammalian reference assembly, yet more than 160 euchromatic gaps remain and aspects of its structural variation remain poorly understood ten years after its completion. To identify missing sequence and genetic variation, here we sequence and analyse a haploid human genome (CHM1) using single-molecule, real-time DNA sequencing. We close or extend 55% of the remaining interstitial gaps in the human GRCh37 reference genome--78% of which carried long runs of degenerate short tandem repeats, often several kilobases in length, embedded within (G+C)-rich genomic regions. We resolve the complete sequence of 26,079 euchromatic structural variants at the base-pair level, including inversions, complex insertions and long tracts of tandem repeats. Most have not been previously reported, with the greatest increases in sensitivity occurring for events less than 5 kilobases in size. Compared to the human reference, we find a significant insertional bias (3:1) in regions corresponding to complex insertions and long short tandem repeats. Our results suggest a greater complexity of the human genome in the form of variation of longer and more complex repetitive DNA that can now be largely resolved with the application of this longer-read sequencing technology.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4317254/" 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/PMC4317254/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Chaisson, Mark J P -- Huddleston, John -- Dennis, Megan Y -- Sudmant, Peter H -- Malig, Maika -- Hormozdiari, Fereydoun -- Antonacci, Francesca -- Surti, Urvashi -- Sandstrom, Richard -- Boitano, Matthew -- Landolin, Jane M -- Stamatoyannopoulos, John A -- Hunkapiller, Michael W -- Korlach, Jonas -- Eichler, Evan E -- HG002385/HG/NHGRI NIH HHS/ -- HG007497/HG/NHGRI NIH HHS/ -- K99 NS083627/NS/NINDS NIH HHS/ -- K99NS083627/NS/NINDS NIH HHS/ -- R01 HG002385/HG/NHGRI NIH HHS/ -- U41 HG007497/HG/NHGRI NIH HHS/ -- U41 HG007635/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2015 Jan 29;517(7536):608-11. doi: 10.1038/nature13907. Epub 2014 Nov 10.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA. ; 1] Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA [2] Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, USA. ; Dipartimento di Biologia, Universita degli Studi di Bari 'Aldo Moro', Bari 70125, Italy. ; Department of Pathology, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA. ; Pacific Biosciences of California, Inc., Menlo Park, California 94025, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25383537" 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: Most great ape genetic variation remains uncharacterized; however, its study is critical for understanding population history, recombination, selection and susceptibility to disease. Here we sequence to high coverage a total of 79 wild- and captive-born individuals representing all six great ape species and seven subspecies and report 88.8 million single nucleotide polymorphisms. Our analysis provides support for genetically distinct populations within each species, signals of gene flow, and the split of common chimpanzees into two distinct groups: Nigeria-Cameroon/western and central/eastern populations. We find extensive inbreeding in almost all wild populations, with eastern gorillas being the most extreme. Inferred effective population sizes have varied radically over time in different lineages and this appears to have a profound effect on the genetic diversity at, or close to, genes in almost all species. We discover and assign 1,982 loss-of-function variants throughout the human and great ape lineages, determining that the rate of gene loss has not been different in the human branch compared to other internal branches in the great ape phylogeny. This comprehensive catalogue of great ape genome diversity provides a framework for understanding evolution and a resource for more effective management of wild and captive great ape populations.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3822165/" 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/PMC3822165/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Prado-Martinez, Javier -- Sudmant, Peter H -- Kidd, Jeffrey M -- Li, Heng -- Kelley, Joanna L -- Lorente-Galdos, Belen -- Veeramah, Krishna R -- Woerner, August E -- O'Connor, Timothy D -- Santpere, Gabriel -- Cagan, Alexander -- Theunert, Christoph -- Casals, Ferran -- Laayouni, Hafid -- Munch, Kasper -- Hobolth, Asger -- Halager, Anders E -- Malig, Maika -- Hernandez-Rodriguez, Jessica -- Hernando-Herraez, Irene -- Prufer, Kay -- Pybus, Marc -- Johnstone, Laurel -- Lachmann, Michael -- Alkan, Can -- Twigg, Dorina -- Petit, Natalia -- Baker, Carl -- Hormozdiari, Fereydoun -- Fernandez-Callejo, Marcos -- Dabad, Marc -- Wilson, Michael L -- Stevison, Laurie -- Camprubi, Cristina -- Carvalho, Tiago -- Ruiz-Herrera, Aurora -- Vives, Laura -- Mele, Marta -- Abello, Teresa -- Kondova, Ivanela -- Bontrop, Ronald E -- Pusey, Anne -- Lankester, Felix -- Kiyang, John A -- Bergl, Richard A -- Lonsdorf, Elizabeth -- Myers, Simon -- Ventura, Mario -- Gagneux, Pascal -- Comas, David -- Siegismund, Hans -- Blanc, Julie -- Agueda-Calpena, Lidia -- Gut, Marta -- Fulton, Lucinda -- Tishkoff, Sarah A -- Mullikin, James C -- Wilson, Richard K -- Gut, Ivo G -- Gonder, Mary Katherine -- Ryder, Oliver A -- Hahn, Beatrice H -- Navarro, Arcadi -- Akey, Joshua M -- Bertranpetit, Jaume -- Reich, David -- Mailund, Thomas -- Schierup, Mikkel H -- Hvilsom, Christina -- Andres, Aida M -- Wall, Jeffrey D -- Bustamante, Carlos D -- Hammer, Michael F -- Eichler, Evan E -- Marques-Bonet, Tomas -- 090532/Wellcome Trust/United Kingdom -- 260372/European Research Council/International -- DP1 ES022577/ES/NIEHS NIH HHS/ -- DP1ES022577-04/DP/NCCDPHP CDC HHS/ -- GM100233/GM/NIGMS NIH HHS/ -- HG002385/HG/NHGRI NIH HHS/ -- R01 GM095882/GM/NIGMS NIH HHS/ -- R01 GM100233/GM/NIGMS NIH HHS/ -- R01 HG002385/HG/NHGRI NIH HHS/ -- R01_HG005226/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2013 Jul 25;499(7459):471-5. doi: 10.1038/nature12228. Epub 2013 Jul 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Institut de Biologia Evolutiva, CSIC-Universitat Pompeu Fabra, PRBB, Doctor Aiguader 88, Barcelona, Catalonia 08003, Spain.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23823723" target="_blank"〉PubMed〈/a〉

Description: Structural variants are implicated in numerous diseases and make up the majority of varying nucleotides among human genomes. Here we describe an integrated set of eight structural variant classes comprising both balanced and unbalanced variants, which we constructed using short-read DNA sequencing data and statistically phased onto haplotype blocks in 26 human populations. Analysing this set, we identify numerous gene-intersecting structural variants exhibiting population stratification and describe naturally occurring homozygous gene knockouts that suggest the dispensability of a variety of human genes. We demonstrate that structural variants are enriched on haplotypes identified by genome-wide association studies and exhibit enrichment for expression quantitative trait loci. Additionally, we uncover appreciable levels of structural variant complexity at different scales, including genic loci subject to clusters of repeated rearrangement and complex structural variants with multiple breakpoints likely to have formed through individual mutational events. Our catalogue will enhance future studies into structural variant demography, functional impact and disease association.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4617611/" 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/PMC4617611/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sudmant, Peter H -- Rausch, Tobias -- Gardner, Eugene J -- Handsaker, Robert E -- Abyzov, Alexej -- Huddleston, John -- Zhang, Yan -- Ye, Kai -- Jun, Goo -- Hsi-Yang Fritz, Markus -- Konkel, Miriam K -- Malhotra, Ankit -- Stutz, Adrian M -- Shi, Xinghua -- Paolo Casale, Francesco -- Chen, Jieming -- Hormozdiari, Fereydoun -- Dayama, Gargi -- Chen, Ken -- Malig, Maika -- Chaisson, Mark J P -- Walter, Klaudia -- Meiers, Sascha -- Kashin, Seva -- Garrison, Erik -- Auton, Adam -- Lam, Hugo Y K -- Jasmine Mu, Xinmeng -- Alkan, Can -- Antaki, Danny -- Bae, Taejeong -- Cerveira, Eliza -- Chines, Peter -- Chong, Zechen -- Clarke, Laura -- Dal, Elif -- Ding, Li -- Emery, Sarah -- Fan, Xian -- Gujral, Madhusudan -- Kahveci, Fatma -- Kidd, Jeffrey M -- Kong, Yu -- Lameijer, Eric-Wubbo -- McCarthy, Shane -- Flicek, Paul -- Gibbs, Richard A -- Marth, Gabor -- Mason, Christopher E -- Menelaou, Androniki -- Muzny, Donna M -- Nelson, Bradley J -- Noor, Amina -- Parrish, Nicholas F -- Pendleton, Matthew -- Quitadamo, Andrew -- Raeder, Benjamin -- Schadt, Eric E -- Romanovitch, Mallory -- Schlattl, Andreas -- Sebra, Robert -- Shabalin, Andrey A -- Untergasser, Andreas -- Walker, Jerilyn A -- Wang, Min -- Yu, Fuli -- Zhang, Chengsheng -- Zhang, Jing -- Zheng-Bradley, Xiangqun -- Zhou, Wanding -- Zichner, Thomas -- Sebat, Jonathan -- Batzer, Mark A -- McCarroll, Steven A -- 1000 Genomes Project Consortium -- Mills, Ryan E -- Gerstein, Mark B -- Bashir, Ali -- Stegle, Oliver -- Devine, Scott E -- Lee, Charles -- Eichler, Evan E -- Korbel, Jan O -- P01HG007497/HG/NHGRI NIH HHS/ -- R01 CA166661/CA/NCI NIH HHS/ -- R01 HG002385/HG/NHGRI NIH HHS/ -- R01 HG002898/HG/NHGRI NIH HHS/ -- R01CA166661/CA/NCI NIH HHS/ -- R01GM59290/GM/NIGMS NIH HHS/ -- R01HG002898/HG/NHGRI NIH HHS/ -- R01HG007068/HG/NHGRI NIH HHS/ -- RR029676-01/RR/NCRR NIH HHS/ -- RR19895/RR/NCRR NIH HHS/ -- T32 GM008666/GM/NIGMS NIH HHS/ -- U41 HG007497/HG/NHGRI NIH HHS/ -- U41HG007497/HG/NHGRI NIH HHS/ -- WT085532/Z/08/Z/Wellcome Trust/United Kingdom -- WT104947/Z/14/Z/Wellcome Trust/United Kingdom -- England -- Nature. 2015 Oct 1;526(7571):75-81. doi: 10.1038/nature15394.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genome Sciences, University of Washington, 3720 15th Avenue NE, Seattle, Washington 98195-5065, USA. ; European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Meyerhofstrasse 1, 69117 Heidelberg, Germany. ; Institute for Genome Sciences, University of Maryland School of Medicine, 801 W Baltimore Street, Baltimore, Maryland 21201, USA. ; Department of Genetics, Harvard Medical School, Boston, 25 Shattuck Street, Boston, Massachusetts 02115, USA. ; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, Massachusetts 02142, USA. ; Department of Health Sciences Research, Center for Individualized Medicine, Mayo Clinic, 200 First Street SW, Rochester, Minnesota 55905, USA. ; Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, USA. ; Program in Computational Biology and Bioinformatics, Yale University, BASS 432 &437, 266 Whitney Avenue, New Haven, Connecticut 06520, USA. ; Department of Molecular Biophysics and Biochemistry, School of Medicine, Yale University, 266 Whitney Avenue, New Haven, Connecticut 06520, USA. ; The Genome Institute, Washington University School of Medicine, 4444 Forest Park Avenue, St Louis, Missouri 63108, USA. ; Department of Genetics, Washington University in St Louis, 4444 Forest Park Avenue, St Louis, Missouri 63108, USA. ; Department of Biostatistics and Center for Statistical Genetics, University of Michigan, 1415 Washington Heights, Ann Arbor, Michigan 48109, USA. ; Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, 1200 Pressler St., Houston, Texas 77030, USA. ; Department of Biological Sciences, Louisiana State University, 202 Life Sciences Building, Baton Rouge, Louisiana 70803, USA. ; The Jackson Laboratory for Genomic Medicine, 10 Discovery 263 Farmington Avenue, Farmington, Connecticut 06030, USA. ; Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9201 University City Blvd., Charlotte, North Carolina 28223, USA. ; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. ; Integrated Graduate Program in Physical and Engineering Biology, Yale University, New Haven, Connecticut 06520, USA. ; Department of Computational Medicine &Bioinformatics, University of Michigan, 500 S. State Street, Ann Arbor, Michigan 48109, USA. ; The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030, USA. ; The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK. ; Department of Biology, Boston College, 355 Higgins Hall, 140 Commonwealth Avenue, Chestnut Hill, Massachusetts 02467, USA. ; Department of Genetics, Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, New York 10461, USA. ; Bina Technologies, Roche Sequencing, 555 Twin Dolphin Drive, Redwood City, California 94065, USA. ; Cancer Program, Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, Massachusetts 02142, USA. ; Department of Computer Engineering, Bilkent University, 06800 Ankara, Turkey. ; University of California San Diego (UCSD), 9500 Gilman Drive, La Jolla, California 92093, USA. ; National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892 USA. ; Department of Medicine, Washington University in St Louis, 4444 Forest Park Avenue, St Louis, Missouri 63108, USA. ; Siteman Cancer Center, 660 South Euclid Avenue, St Louis, Missouri 63110, USA. ; Department of Human Genetics, University of Michigan, 1241 Catherine Street, Ann Arbor, Michigan 48109, USA. ; Molecular Epidemiology, Leiden University Medical Center, Leiden 2300RA, The Netherlands. ; Baylor College of Medicine, 1 Baylor Plaza, Houston, Texas 77030, USA. ; The Department of Physiology and Biophysics and the HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, 1305 York Avenue, Weill Cornell Medical College, New York, New York 10065, USA. ; The Feil Family Brain and Mind Research Institute, 413 East 69th St, Weill Cornell Medical College, New York, New York 10065, USA. ; University of Oxford, 1 South Parks Road, Oxford OX3 9DS, UK. ; Department of Medical Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, 3584 CG, The Netherlands. ; Department of Genetics and Genomic Sciences, Icahn School of Medicine, New York School of Natural Sciences, 1428 Madison Avenue, New York, New York 10029, USA. ; Institute for Virus Research, Kyoto University, 53 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan. ; Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, 1112 East Clay Street, McGuire Hall, Richmond, Virginia 23298-0581, USA. ; Zentrum fur Molekulare Biologie, University of Heidelberg, Im Neuenheimer Feld 282, 69120 Heidelberg, Germany. ; Department of Computer Science, Yale University, 51 Prospect Street, New Haven, Connecticut 06511, USA. ; Department of Graduate Studies - Life Sciences, Ewha Womans University, Ewhayeodae-gil, Seodaemun-gu, Seoul 120-750, South Korea.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26432246" target="_blank"〉PubMed〈/a〉

Description: In order to explore the diversity and selective signatures of duplication and deletion human copy-number variants (CNVs), we sequenced 236 individuals from 125 distinct human populations. We observed that duplications exhibit fundamentally different population genetic and selective signatures than deletions and are more likely to be stratified between human populations. Through reconstruction of the ancestral human genome, we identify megabases of DNA lost in different human lineages and pinpoint large duplications that introgressed from the extinct Denisova lineage now found at high frequency exclusively in Oceanic populations. We find that the proportion of CNV base pairs to single-nucleotide-variant base pairs is greater among non-Africans than it is among African populations, but we conclude that this difference is likely due to unique aspects of non-African population history as opposed to differences in CNV load.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4568308/" 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/PMC4568308/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sudmant, Peter H -- Mallick, Swapan -- Nelson, Bradley J -- Hormozdiari, Fereydoun -- Krumm, Niklas -- Huddleston, John -- Coe, Bradley P -- Baker, Carl -- Nordenfelt, Susanne -- Bamshad, Michael -- Jorde, Lynn B -- Posukh, Olga L -- Sahakyan, Hovhannes -- Watkins, W Scott -- Yepiskoposyan, Levon -- Abdullah, M Syafiq -- Bravi, Claudio M -- Capelli, Cristian -- Hervig, Tor -- Wee, Joseph T S -- Tyler-Smith, Chris -- van Driem, George -- Romero, Irene Gallego -- Jha, Aashish R -- Karachanak-Yankova, Sena -- Toncheva, Draga -- Comas, David -- Henn, Brenna -- Kivisild, Toomas -- Ruiz-Linares, Andres -- Sajantila, Antti -- Metspalu, Ene -- Parik, Juri -- Villems, Richard -- Starikovskaya, Elena B -- Ayodo, George -- Beall, Cynthia M -- Di Rienzo, Anna -- Hammer, Michael F -- Khusainova, Rita -- Khusnutdinova, Elza -- Klitz, William -- Winkler, Cheryl -- Labuda, Damian -- Metspalu, Mait -- Tishkoff, Sarah A -- Dryomov, Stanislav -- Sukernik, Rem -- Patterson, Nick -- Reich, David -- Eichler, Evan E -- 098051/Wellcome Trust/United Kingdom -- 1R01DK104339-01/DK/NIDDK NIH HHS/ -- 1R01GM113657-01/GM/NIGMS NIH HHS/ -- 261213/European Research Council/International -- 2R01HG002385/HG/NHGRI NIH HHS/ -- 5DP1ES022577 05/DP/NCCDPHP CDC HHS/ -- HHSN26120080001E/PHS HHS/ -- P30 ES013508/ES/NIEHS NIH HHS/ -- R01 DK104339/DK/NIDDK NIH HHS/ -- R01 GM113657/GM/NIGMS NIH HHS/ -- R01 HG002385/HG/NHGRI NIH HHS/ -- T32 GM007266/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- Intramural NIH HHS/ -- New York, N.Y. -- Science. 2015 Sep 11;349(6253):aab3761. doi: 10.1126/science.aab3761. Epub 2015 Aug 6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA. ; Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA 02142, USA. Department of Genetics, Harvard Medical School, Boston, MA 02115, USA. ; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA. Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA. ; Department of Pediatrics, University of Washington, Seattle, WA 98119, USA. ; Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112, USA. ; Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia. Novosibirsk State University, Novosibirsk 630090, Russia. ; Estonian Biocentre, Evolutionary Biology Group, Tartu 51010, Estonia. Laboratory of Ethnogenomics, Institute of Molecular Biology, National Academy of Sciences of Armenia, Yerevan 0014, Armenia. ; Department of Human Genetics, Eccles Institute of Human Genetics, University of Utah, Salt Lake City, UT 84112, USA. ; Laboratory of Ethnogenomics, Institute of Molecular Biology, National Academy of Sciences of Armenia, Yerevan 0014, Armenia. ; Raja Isteri Pengiran Anak Saleha (RIPAS) Hospital, Bandar Seri Begawan, Brunei Darussalam. ; Laboratorio de Genetica Molecular Poblacional, Instituto Multidisciplinario de Biologia Celular (IMBICE), Centro Cientifico y Tecnologico-Consejo Nacional de Investigaciones Cientificas y Tecnicas (CCT-CONICET) and Comision de Investigaciones Cientificas de la Provincia de Buenos Aires (CICPBA), La Plata B1906APO, Argentina. ; Department of Zoology, University of Oxford, Oxford OX1 3PS, UK. ; Department of Clinical Science, University of Bergen, Bergen 5021, Norway. ; National Cancer Centre Singapore, Singapore. ; Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK. ; Institute of Linguistics, University of Bern, Bern CH-3012, Switzerland. ; Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA. ; Department of Medical Genetics, National Human Genome Center, Medical University Sofia, Sofia 1431, Bulgaria. ; Institut de Biologia Evolutiva [Consejo Superior de Investigaciones Cientificas-Universitat Pompeu Fabra (CSIC-UPF)], Departament de Ciencies Experimentals i de la Salut, UPF, Barcelona 08003, Spain. ; Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794, USA. ; Division of Biological Anthropology, University of Cambridge, Fitzwilliam Street, Cambridge CB2 1QH, UK. ; Department of Genetics, Evolution and Environment, University College London, WC1E 6BT, UK. ; University of Helsinki, Department of Forensic Medicine, Helsinki 00014, Finland. ; Estonian Biocentre, Evolutionary Biology Group, Tartu 51010, Estonia. University of Tartu, Department of Evolutionary Biology, Tartu 5101, Estonia. ; Estonian Biocentre, Evolutionary Biology Group, Tartu 51010, Estonia. ; Laboratory of Human Molecular Genetics, Institute of Molecular and Cellular Biology, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia. ; Center for Global Health and Child Development, Kisumu 40100, Kenya. ; Department of Anthropology, Case Western Reserve University, Cleveland, OH 44106-7125, USA. ; Arizona Research Laboratories Division of Biotechnology, University of Arizona, Tucson, AZ 85721, USA. ; Institute of Biochemistry and Genetics, Ufa Research Centre, Russian Academy of Sciences, Ufa 450054, Russia. Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa 450074, Russia. ; Integrative Biology, University of California, Berkeley, CA 94720-3140, USA. ; Basic Research Laboratory, Center for Cancer Research, National Cancer Institute, Leidos Biomedical Research, Incorporated, Frederick National Laboratory, Frederick, MD 21702, USA. ; Centre Hospitalier Universitaire (CHU) Sainte-Justine, Departement de Pediatrie, Universite de Montreal, QC H3T 1C5, Canada. ; Departments of Biology and Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA. ; Laboratory of Human Molecular Genetics, Institute of Molecular and Cellular Biology, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia. Department of Paleolithic Archaeology, Institute of Archaeology and Ethnography, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia. ; Laboratory of Human Molecular Genetics, Institute of Molecular and Cellular Biology, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia. Altai State University, Barnaul 656000, Russia. ; Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA 02142, USA. Department of Genetics, Harvard Medical School, Boston, MA 02115, USA. Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA. ; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA. Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA. eee@gs.washington.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26249230" target="_blank"〉PubMed〈/a〉

Description: Motivation : Although genome-wide association studies (GWAS) have identified thousands of variants associated with common diseases and complex traits, only a handful of these variants are validated to be causal. We consider ‘causal variants’ as variants which are responsible for the association signal at a locus. As opposed to association studies that benefit from linkage disequilibrium (LD), the main challenge in identifying causal variants at associated loci lies in distinguishing among the many closely correlated variants due to LD. This is particularly important for model organisms such as inbred mice, where LD extends much further than in human populations, resulting in large stretches of the genome with significantly associated variants. Furthermore, these model organisms are highly structured and require correction for population structure to remove potential spurious associations. Results : In this work, we propose CAVIAR-Gene (CAusal Variants Identification in Associated Regions), a novel method that is able to operate across large LD regions of the genome while also correcting for population structure. A key feature of our approach is that it provides as output a minimally sized set of genes that captures the genes which harbor causal variants with probability . Through extensive simulations, we demonstrate that our method not only speeds up computation, but also have an average of 10% higher recall rate compared with the existing approaches. We validate our method using a real mouse high-density lipoprotein data (HDL) and show that CAVIAR-Gene is able to identify Apoa2 (a gene known to harbor causal variants for HDL), while reducing the number of genes that need to be tested for functionality by a factor of 2. Availability and implementation : Software is freely available for download at genetics.cs.ucla.edu/caviar. Contact : eeskin@cs.ucla.edu

Description: Motivation: Expression quantitative trait loci (eQTLs) are genetic variants that affect gene expression. In eQTL studies, one important task is to find eGenes or genes whose expressions are associated with at least one eQTL. The standard statistical method to determine whether a gene is an eGene requires association testing at all nearby variants and the permutation test to correct for multiple testing. The standard method however does not consider genomic annotation of the variants. In practice, variants near gene transcription start sites (TSSs) or certain histone modifications are likely to regulate gene expression. In this article, we introduce a novel eGene detection method that considers this empirical evidence and thereby increases the statistical power. Results: We applied our method to the liver Genotype-Tissue Expression (GTEx) data using distance from TSSs, DNase hypersensitivity sites, and six histone modifications as the genomic annotations for the variants. Each of these annotations helped us detected more candidate eGenes. Distance from TSS appears to be the most important annotation; specifically, using this annotation, our method discovered 50% more candidate eGenes than the standard permutation method. Contact: buhm.han@amc.seoul.kr or eeskin@cs.ucla.edu

Description: Genomic imprinting is an epigenetic mechanism by which alleles of some specific genes are expressed in a parent-of-origin manner. It has been observed in mammals and marsupials, but not in birds. Until now, only a few genes orthologous to mammalian imprinted ones have been analyzed in chicken and did not demonstrate any evidence of imprinting in this species. However, several published observations such as imprinted-like QTL in poultry or reciprocal effects keep the question open. Our main objective was thus to screen the entire chicken genome for parental-allele-specific differential expression on whole embryonic transcriptomes, using high-throughput sequencing. To identify the parental origin of each observed haplotype, two chicken experimental populations were used, as inbred and as genetically distant as possible. Two families were produced from two reciprocal crosses. Transcripts from 20 embryos were sequenced using NGS technology, producing ~200 Gb of sequences. This allowed the detection of 79 potentially imprinted SNPs, through an analysis method that we validated by detecting imprinting from mouse data already published. However, out of 23 candidates tested by pyrosequencing, none could be confirmed. These results come together, without a priori , with previous statements and phylogenetic considerations assessing the absence of genomic imprinting in chicken.