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      Sequencing an Ashkenazi reference panel supports population-targeted personal genomics and illuminates Jewish and European origins

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          Abstract

          The Ashkenazi Jewish (AJ) population is a genetic isolate close to European and Middle Eastern groups, with genetic diversity patterns conducive to disease mapping. Here we report high-depth sequencing of 128 complete genomes of AJ controls. Compared with European samples, our AJ panel has 47% more novel variants per genome and is eightfold more effective at filtering benign variants out of AJ clinical genomes. Our panel improves imputation accuracy for AJ SNP arrays by 28%, and covers at least one haplotype in ≈67% of any AJ genome with long, identical-by-descent segments. Reconstruction of recent AJ history from such segments confirms a recent bottleneck of merely ≈350 individuals. Modelling of ancient histories for AJ and European populations using their joint allele frequency spectrum determines AJ to be an even admixture of European and likely Middle Eastern origins. We date the split between the two ancestral populations to ≈12–25 Kyr, suggesting a predominantly Near Eastern source for the repopulation of Europe after the Last Glacial Maximum.

          Abstract

          Ashkenazi Jews are a genetically isolated population with distinct patterns of genetic diversity. Here, the authors sequence the genomes of 128 Ashkenazi Jewish individuals and use the sequence information to provide insight into the population's European and Middle Eastern origins.

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          Most cited references40

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          The risk of cancer associated with specific mutations of BRCA1 and BRCA2 among Ashkenazi Jews.

          Carriers of germ-line mutations in BRCA1 and BRCA2 from families at high risk for cancer have been estimated to have an 85 percent risk of breast cancer. Since the combined frequency of BRCA1 and BRCA2 mutations exceeds 2 percent among Ashkenazi Jews, we were able to estimate the risk of cancer in a large group of Jewish men and women from the Washington, D.C., area. We collected blood samples from 5318 Jewish subjects who had filled out epidemiologic questionnaires. Carriers of the 185delAG and 5382insC mutations in BRCA1 and the 6174delT mutation in BRCA2 were identified with assays based on the polymerase chain reaction. We estimated the risks of breast and other cancers by comparing the cancer histories of relatives of carriers of the mutations and noncarriers. One hundred twenty carriers of a BRCA1 or BRCA2 mutation were identified. By the age of 70, the estimated risk of breast cancer among carriers was 56 percent (95 percent confidence interval, 40 to 73 percent); of ovarian cancer, 16 percent (95 percent confidence interval, 6 to 28 percent); and of prostate cancer, 16 percent (95 percent confidence interval, 4 to 30 percent). There were no significant differences in the risk of breast cancer between carriers of BRCA1 mutations and carriers of BRCA2 mutations, and the incidence of colon cancer among the relatives of carriers was not elevated. Over 2 percent of Ashkenazi Jews carry mutations in BRCA1 or BRCA2 that confer increased risks of breast, ovarian, and prostate cancer. The risks of breast cancer may be overestimated, but they fall well below previous estimates based on subjects from high-risk families.
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            Revising the human mutation rate: implications for understanding human evolution.

            It is now possible to make direct measurements of the mutation rate in modern humans using next-generation sequencing. These measurements reveal a value that is approximately half of that previously derived from fossil calibration, and this has implications for our understanding of demographic events in human evolution and other aspects of population genetics. Here, we discuss the implications of a lower-than-expected mutation rate in relation to the timescale of human evolution.
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              Origins and genetic legacy of Neolithic farmers and hunter-gatherers in Europe.

              The farming way of life originated in the Near East some 11,000 years ago and had reached most of the European continent 5000 years later. However, the impact of the agricultural revolution on demography and patterns of genomic variation in Europe remains unknown. We obtained 249 million base pairs of genomic DNA from ~5000-year-old remains of three hunter-gatherers and one farmer excavated in Scandinavia and find that the farmer is genetically most similar to extant southern Europeans, contrasting sharply to the hunter-gatherers, whose distinct genetic signature is most similar to that of extant northern Europeans. Our results suggest that migration from southern Europe catalyzed the spread of agriculture and that admixture in the wake of this expansion eventually shaped the genomic landscape of modern-day Europe.
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                Author and article information

                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Pub. Group
                2041-1723
                09 September 2014
                : 5
                : 4835
                Affiliations
                [1 ]Department of Computer Science, Columbia University , 500 W 120th Street, New York, New York 10027, USA
                [2 ]Department of Internal Medicine, Genetics & Pediatrics, Yale School of Medicine , 300 Cedar Street, New Haven, Connecticut 06519, USA
                [3 ]Department of Pathology and Cell Biology, Columbia University Medical Center , 1150 St Nicholas Avenue, New York, New York 10032, USA
                [4 ]Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, North Shore–Long Island Jewish Health System , Manhasset, New York 11030, USA
                [5 ]Department of Psychiatry, Division of Research, The Zucker Hillside Hospital Division of the North Shore–Long Island Jewish Health System , Glen Oaks, New York 11004, USA
                [6 ]Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place , New York, New York 10029, USA
                [7 ]Department of Genetics, Albert Einstein College of Medicine , 1300 Morris Park Avenue, Bronx, New York 10461, USA
                [8 ]Department of Medicine, Albert Einstein College of Medicine , 1300 Morris Park Avenue, Bronx, New York 10461, USA
                [9 ]Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center , 1275 York Avenue, New York, New York 10065, USA
                [10 ]Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center , 1275 York Avenue, New York, New York 10065, USA
                [11 ]VIB Department of Molecular Genetics, University of Antwerp, Universiteitsplein 1 , 2610 Antwerpen, Belgium
                [12 ]VIB Center for the Biology of Disease, KU Leuven, Herestraat 49, bus 602 , 3000 Leuven, Belgium
                [13 ]VIB Vesalius Research Center, KU Leuven, Herestraat 49, bus 912 , 3000 Leuven, Belgium
                [14 ]VIB BioInformatics Training and Services facility, Rijvisschestraat 120 , 9052 Gent, Belgium
                [15 ]Neurology Department, University Hospital Leuven , 3000 Leuven, Belgium
                [16 ]Department of Genetics, The Institute of Life Sciences, The Hebrew University of Jerusalem, Givat Ram , Jerusalem 91904, Israel
                [17 ]Department of Neurology, Beth Israel Medical Center , New York, New York 10003, USA
                [18 ]Department of Pathology, Albert Einstein College of Medicine , 1300 Morris Park Avenue, Bronx, New York 10461, USA
                [19 ]Taub Institute for Research of Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, 1150 St Nicholas Avenue , New York, New York 10032, USA
                [20 ]Departments of Psychiatry and Molecular Medicine, Hofstra University School of Medicine , Hempstead, New York 11550, USA
                [21 ]Center for Computational Biology and Bioinformatics, Columbia University, 1130 St Nicholas Avenue , New York, New York 10032, USA
                Author notes
                Article
                ncomms5835
                10.1038/ncomms5835
                4164776
                25203624
                87b8af72-27de-4821-bcc1-3e3cb963a666
                Copyright © 2014, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.

                This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/

                History
                : 24 June 2014
                : 28 July 2014
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