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  • 1
    Publication Date: 2008-09-02
    Description: Understanding the genetic structure of human populations is of fundamental interest to medical, forensic and anthropological sciences. Advances in high-throughput genotyping technology have markedly improved our understanding of global patterns of human genetic variation and suggest the potential to use large samples to uncover variation among closely spaced populations. Here we characterize genetic variation in a sample of 3,000 European individuals genotyped at over half a million variable DNA sites in the human genome. Despite low average levels of genetic differentiation among Europeans, we find a close correspondence between genetic and geographic distances; indeed, a geographical map of Europe arises naturally as an efficient two-dimensional summary of genetic variation in Europeans. The results emphasize that when mapping the genetic basis of a disease phenotype, spurious associations can arise if genetic structure is not properly accounted for. In addition, the results are relevant to the prospects of genetic ancestry testing; an individual's DNA can be used to infer their geographic origin with surprising accuracy-often to within a few hundred kilometres.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2735096/" 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/PMC2735096/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Novembre, John -- Johnson, Toby -- Bryc, Katarzyna -- Kutalik, Zoltan -- Boyko, Adam R -- Auton, Adam -- Indap, Amit -- King, Karen S -- Bergmann, Sven -- Nelson, Matthew R -- Stephens, Matthew -- Bustamante, Carlos D -- R01 GM083606/GM/NIGMS NIH HHS/ -- R01 GM083606-01/GM/NIGMS NIH HHS/ -- R01 GM083606-02/GM/NIGMS NIH HHS/ -- England -- Nature. 2008 Nov 6;456(7218):98-101. doi: 10.1038/nature07331. Epub 2008 Aug 31.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Ecology and Evolutionary Biology, Interdepartmental Program in Bioinformatics, University of California-Los Angeles, Los Angeles, California 90095, USA. jnovembre@ucla.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18758442" target="_blank"〉PubMed〈/a〉
    Keywords: Emigration and Immigration ; Europe/ethnology ; Genetic Variation/*genetics ; *Genetics, Population ; Genome, Human/genetics ; Genome-Wide Association Study ; Genotype ; *Geography ; Humans ; Phylogeny ; Polymorphism, Single Nucleotide ; Principal Component Analysis ; Quantitative Trait, Heritable ; 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: 2008-02-22
    Description: Quantifying the number of deleterious mutations per diploid human genome is of crucial concern to both evolutionary and medical geneticists. Here we combine genome-wide polymorphism data from PCR-based exon resequencing, comparative genomic data across mammalian species, and protein structure predictions to estimate the number of functionally consequential single-nucleotide polymorphisms (SNPs) carried by each of 15 African American (AA) and 20 European American (EA) individuals. We find that AAs show significantly higher levels of nucleotide heterozygosity than do EAs for all categories of functional SNPs considered, including synonymous, non-synonymous, predicted 'benign', predicted 'possibly damaging' and predicted 'probably damaging' SNPs. This result is wholly consistent with previous work showing higher overall levels of nucleotide variation in African populations than in Europeans. EA individuals, in contrast, have significantly more genotypes homozygous for the derived allele at synonymous and non-synonymous SNPs and for the damaging allele at 'probably damaging' SNPs than AAs do. For SNPs segregating only in one population or the other, the proportion of non-synonymous SNPs is significantly higher in the EA sample (55.4%) than in the AA sample (47.0%; P 〈 2.3 x 10(-37)). We observe a similar proportional excess of SNPs that are inferred to be 'probably damaging' (15.9% in EA; 12.1% in AA; P 〈 3.3 x 10(-11)). Using extensive simulations, we show that this excess proportion of segregating damaging alleles in Europeans is probably a consequence of a bottleneck that Europeans experienced at about the time of the migration out of Africa.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2923434/" 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/PMC2923434/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lohmueller, Kirk E -- Indap, Amit R -- Schmidt, Steffen -- Boyko, Adam R -- Hernandez, Ryan D -- Hubisz, Melissa J -- Sninsky, John J -- White, Thomas J -- Sunyaev, Shamil R -- Nielsen, Rasmus -- Clark, Andrew G -- Bustamante, Carlos D -- P50 GM065509/GM/NIGMS NIH HHS/ -- P50 GM065509-070006/GM/NIGMS NIH HHS/ -- R01 HG003229/HG/NHGRI NIH HHS/ -- R01 HG003229-03/HG/NHGRI NIH HHS/ -- R01 HL072904/HL/NHLBI NIH HHS/ -- England -- Nature. 2008 Feb 21;451(7181):994-7. doi: 10.1038/nature06611.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18288194" target="_blank"〉PubMed〈/a〉
    Keywords: Africa/ethnology ; Alleles ; Computational Biology ; Emigration and Immigration ; Europe/ethnology ; Exons/genetics ; Genome, Human/*genetics ; Heterozygote ; Homozygote ; Humans ; Polymerase Chain Reaction ; Polymorphism, Single Nucleotide/*genetics ; United States
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2007-04-14
    Description: The rhesus macaque (Macaca mulatta) is an abundant primate species that diverged from the ancestors of Homo sapiens about 25 million years ago. Because they are genetically and physiologically similar to humans, rhesus monkeys are the most widely used nonhuman primate in basic and applied biomedical research. We determined the genome sequence of an Indian-origin Macaca mulatta female and compared the data with chimpanzees and humans to reveal the structure of ancestral primate genomes and to identify evidence for positive selection and lineage-specific expansions and contractions of gene families. A comparison of sequences from individual animals was used to investigate their underlying genetic diversity. The complete description of the macaque genome blueprint enhances the utility of this animal model for biomedical research and improves our understanding of the basic biology of the species.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Rhesus Macaque Genome Sequencing and Analysis Consortium -- Gibbs, Richard A -- Rogers, Jeffrey -- Katze, Michael G -- Bumgarner, Roger -- Weinstock, George M -- Mardis, Elaine R -- Remington, Karin A -- Strausberg, Robert L -- Venter, J Craig -- Wilson, Richard K -- Batzer, Mark A -- Bustamante, Carlos D -- Eichler, Evan E -- Hahn, Matthew W -- Hardison, Ross C -- Makova, Kateryna D -- Miller, Webb -- Milosavljevic, Aleksandar -- Palermo, Robert E -- Siepel, Adam -- Sikela, James M -- Attaway, Tony -- Bell, Stephanie -- Bernard, Kelly E -- Buhay, Christian J -- Chandrabose, Mimi N -- Dao, Marvin -- Davis, Clay -- Delehaunty, Kimberly D -- Ding, Yan -- Dinh, Huyen H -- Dugan-Rocha, Shannon -- Fulton, Lucinda A -- Gabisi, Ramatu Ayiesha -- Garner, Toni T -- Godfrey, Jennifer -- Hawes, Alicia C -- Hernandez, Judith -- Hines, Sandra -- Holder, Michael -- Hume, Jennifer -- Jhangiani, Shalini N -- Joshi, Vandita -- Khan, Ziad Mohid -- Kirkness, Ewen F -- Cree, Andrew -- Fowler, R Gerald -- Lee, Sandra -- Lewis, Lora R -- Li, Zhangwan -- Liu, Yih-Shin -- Moore, Stephanie M -- Muzny, Donna -- Nazareth, Lynne V -- Ngo, Dinh Ngoc -- Okwuonu, Geoffrey O -- Pai, Grace -- Parker, David -- Paul, Heidie A -- Pfannkoch, Cynthia -- Pohl, Craig S -- Rogers, Yu-Hui -- Ruiz, San Juana -- Sabo, Aniko -- Santibanez, Jireh -- Schneider, Brian W -- Smith, Scott M -- Sodergren, Erica -- Svatek, Amanda F -- Utterback, Teresa R -- Vattathil, Selina -- Warren, Wesley -- White, Courtney Sherell -- Chinwalla, Asif T -- Feng, Yucheng -- Halpern, Aaron L -- Hillier, Ladeana W -- Huang, Xiaoqiu -- Minx, Pat -- Nelson, Joanne O -- Pepin, Kymberlie H -- Qin, Xiang -- Sutton, Granger G -- Venter, Eli -- Walenz, Brian P -- Wallis, John W -- Worley, Kim C -- Yang, Shiaw-Pyng -- Jones, Steven M -- Marra, Marco A -- Rocchi, Mariano -- Schein, Jacqueline E -- Baertsch, Robert -- Clarke, Laura -- Csuros, Miklos -- Glasscock, Jarret -- Harris, R Alan -- Havlak, Paul -- Jackson, Andrew R -- Jiang, Huaiyang -- Liu, Yue -- Messina, David N -- Shen, Yufeng -- Song, Henry Xing-Zhi -- Wylie, Todd -- Zhang, Lan -- Birney, Ewan -- Han, Kyudong -- Konkel, Miriam K -- Lee, Jungnam -- Smit, Arian F A -- Ullmer, Brygg -- Wang, Hui -- Xing, Jinchuan -- Burhans, Richard -- Cheng, Ze -- Karro, John E -- Ma, Jian -- Raney, Brian -- She, Xinwei -- Cox, Michael J -- Demuth, Jeffery P -- Dumas, Laura J -- Han, Sang-Gook -- Hopkins, Janet -- Karimpour-Fard, Anis -- Kim, Young H -- Pollack, Jonathan R -- Vinar, Tomas -- Addo-Quaye, Charles -- Degenhardt, Jeremiah -- Denby, Alexandra -- Hubisz, Melissa J -- Indap, Amit -- Kosiol, Carolin -- Lahn, Bruce T -- Lawson, Heather A -- Marklein, Alison -- Nielsen, Rasmus -- Vallender, Eric J -- Clark, Andrew G -- Ferguson, Betsy -- Hernandez, Ryan D -- Hirani, Kashif -- Kehrer-Sawatzki, Hildegard -- Kolb, Jessica -- Patil, Shobha -- Pu, Ling-Ling -- Ren, Yanru -- Smith, David Glenn -- Wheeler, David A -- Schenck, Ian -- Ball, Edward V -- Chen, Rui -- Cooper, David N -- Giardine, Belinda -- Hsu, Fan -- Kent, W James -- Lesk, Arthur -- Nelson, David L -- O'brien, William E -- Prufer, Kay -- Stenson, Peter D -- Wallace, James C -- Ke, Hui -- Liu, Xiao-Ming -- Wang, Peng -- Xiang, Andy Peng -- Yang, Fan -- Barber, Galt P -- Haussler, David -- Karolchik, Donna -- Kern, Andy D -- Kuhn, Robert M -- Smith, Kayla E -- Zwieg, Ann S -- 062023/Wellcome Trust/United Kingdom -- R01 HG002939/HG/NHGRI NIH HHS/ -- U54 HG003068/HG/NHGRI NIH HHS/ -- U54 HG003079/HG/NHGRI NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2007 Apr 13;316(5822):222-34.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA. agibbs@bcm.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17431167" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Biomedical Research ; *Evolution, Molecular ; Female ; Gene Duplication ; Gene Rearrangement ; Genetic Diseases, Inborn ; Genetic Variation ; *Genome ; Humans ; Macaca mulatta/*genetics ; Male ; Multigene Family ; Mutation ; Pan troglodytes/genetics ; Sequence Analysis, DNA ; Species Specificity
    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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  • 4
    Publication Date: 2007-04-14
    Description: To understand the demographic history of rhesus macaques (Macaca mulatta) and document the extent of linkage disequilibrium (LD) in the genome, we partially resequenced five Encyclopedia of DNA Elements regions in 9 Chinese and 38 captive-born Indian rhesus macaques. Population genetic analyses of the 1467 single-nucleotide polymorphisms discovered suggest that the two populations separated about 162,000 years ago, with the Chinese population tripling in size since then and the Indian population eventually shrinking by a factor of four. Using coalescent simulations, we confirmed that these inferred demographic events explain a much faster decay of LD in Chinese (r(2) approximately 0.15 at 10 kilobases) versus Indian (r(2) approximately 0.52 at 10 kilobases) macaque populations.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hernandez, Ryan D -- Hubisz, Melissa J -- Wheeler, David A -- Smith, David G -- Ferguson, Betsy -- Rogers, Jeffrey -- Nazareth, Lynne -- Indap, Amit -- Bourquin, Traci -- McPherson, John -- Muzny, Donna -- Gibbs, Richard -- Nielsen, Rasmus -- Bustamante, Carlos D -- 1R01HG003229/HG/NHGRI NIH HHS/ -- NSF0516310/PHS HHS/ -- RR00163/RR/NCRR NIH HHS/ -- RR015383/RR/NCRR NIH HHS/ -- RR05090/RR/NCRR NIH HHS/ -- New York, N.Y. -- Science. 2007 Apr 13;316(5822):240-3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Biological Statistics and Computational Biology, Cornell University, Ithaca, NY 14850, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17431170" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; China ; DNA, Mitochondrial ; Demography ; Genetics, Medical ; Humans ; India ; *Linkage Disequilibrium ; Macaca mulatta/*genetics ; Polymorphism, Single Nucleotide
    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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  • 5
    Publication Date: 2008-11-01
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 6
    Publication Date: 2008-02-01
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 7
    Publication Date: 2008-08-31
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 8
    Publication Date: 2005-04-01
    Print ISSN: 1570-0232
    Electronic ISSN: 1873-376X
    Topics: Chemistry and Pharmacology
    Published by Elsevier
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  • 9
  • 10
    Publication Date: 2005-12-01
    Description: Background Different classes of haplotype block algorithms exist and the ideal dataset to assess their performance would be to comprehensively re-sequence a large genomic region in a large population. Such data sets are expensive to collect. Alternatively, we performed coalescent simulations to generate haplotypes with a high marker density and compared block partitioning results from diversity based, LD based, and information theoretic algorithms under different values of SNP density and allele frequency. Results We simulated 1000 haplotypes using the standard coalescent for three world populations – European, African American, and East Asian – and applied three classes of block partitioning algorithms – diversity based, LD based, and information theoretic. We assessed algorithm differences in number, size, and coverage of blocks inferred under different conditions of SNP density, allele frequency, and sample size. Each algorithm inferred blocks differing in number, size, and coverage under different density and allele frequency conditions. Different partitions had few if any matching block boundaries. However they still overlapped and a high percentage of total chromosomal region was common to all methods. This percentage was generally higher with a higher density of SNPs and when rarer markers were included. Conclusion A gold standard definition of a haplotype block is difficult to achieve, but collecting haplotypes covered with a high density of SNPs, partitioning them with a variety of block algorithms, and identifying regions common to all methods may be the best way to identify genomic regions that harbor SNP variants that cause disease.
    Electronic ISSN: 1471-2105
    Topics: Biology , Computer Science
    Published by BioMed Central
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