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  • 1
    Publication Date: 2010-09-03
    Description: Despite great progress in identifying genetic variants that influence human disease, most inherited risk remains unexplained. A more complete understanding requires genome-wide studies that fully examine less common alleles in populations with a wide range of ancestry. To inform the design and interpretation of such studies, we genotyped 1.6 million common single nucleotide polymorphisms (SNPs) in 1,184 reference individuals from 11 global populations, and sequenced ten 100-kilobase regions in 692 of these individuals. This integrated data set of common and rare alleles, called 'HapMap 3', includes both SNPs and copy number polymorphisms (CNPs). We characterized population-specific differences among low-frequency variants, measured the improvement in imputation accuracy afforded by the larger reference panel, especially in imputing SNPs with a minor allele frequency of 〈or=5%, and demonstrated the feasibility of imputing newly discovered CNPs and SNPs. This expanded public resource of genome variants in global populations supports deeper interrogation of genomic variation and its role in human disease, and serves as a step towards a high-resolution map of the landscape of human genetic variation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3173859/" 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/PMC3173859/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉International HapMap 3 Consortium -- Altshuler, David M -- Gibbs, Richard A -- Peltonen, Leena -- Dermitzakis, Emmanouil -- Schaffner, Stephen F -- Yu, Fuli -- Bonnen, Penelope E -- de Bakker, Paul I W -- Deloukas, Panos -- Gabriel, Stacey B -- Gwilliam, Rhian -- Hunt, Sarah -- Inouye, Michael -- Jia, Xiaoming -- Palotie, Aarno -- Parkin, Melissa -- Whittaker, Pamela -- Chang, Kyle -- Hawes, Alicia -- Lewis, Lora R -- Ren, Yanru -- Wheeler, David -- Muzny, Donna Marie -- Barnes, Chris -- Darvishi, Katayoon -- Hurles, Matthew -- Korn, Joshua M -- Kristiansson, Kati -- Lee, Charles -- McCarrol, Steven A -- Nemesh, James -- Keinan, Alon -- Montgomery, Stephen B -- Pollack, Samuela -- Price, Alkes L -- Soranzo, Nicole -- Gonzaga-Jauregui, Claudia -- Anttila, Verneri -- Brodeur, Wendy -- Daly, Mark J -- Leslie, Stephen -- McVean, Gil -- Moutsianas, Loukas -- Nguyen, Huy -- Zhang, Qingrun -- Ghori, Mohammed J R -- McGinnis, Ralph -- McLaren, William -- Takeuchi, Fumihiko -- Grossman, Sharon R -- Shlyakhter, Ilya -- Hostetter, Elizabeth B -- Sabeti, Pardis C -- Adebamowo, Clement A -- Foster, Morris W -- Gordon, Deborah R -- Licinio, Julio -- Manca, Maria Cristina -- Marshall, Patricia A -- Matsuda, Ichiro -- Ngare, Duncan -- Wang, Vivian Ota -- Reddy, Deepa -- Rotimi, Charles N -- Royal, Charmaine D -- Sharp, Richard R -- Zeng, Changqing -- Brooks, Lisa D -- McEwen, Jean E -- 068545/Wellcome Trust/United Kingdom -- 068545/Z/02/Wellcome Trust/United Kingdom -- 076113/Wellcome Trust/United Kingdom -- 077011/Wellcome Trust/United Kingdom -- 077014/Wellcome Trust/United Kingdom -- 082371/Wellcome Trust/United Kingdom -- 089061/Wellcome Trust/United Kingdom -- 089062/Wellcome Trust/United Kingdom -- 091746/Wellcome Trust/United Kingdom -- G0000934/Medical Research Council/United Kingdom -- P30 DK043351/DK/NIDDK NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- England -- Nature. 2010 Sep 2;467(7311):52-8. doi: 10.1038/nature09298.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute, 7 Cambridge Center, Cambridge, Massachusetts 02138, USA. altshuler@molbio.mgh.harvard.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20811451" target="_blank"〉PubMed〈/a〉
    Keywords: *DNA Copy Number Variations ; *Genome, Human ; Human Genome Project ; Humans ; *Polymorphism, Single Nucleotide ; Population Groups/*genetics
    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: 2007-04-21
    Description: Mekel-Bobrov et al. (Reports, 9 September 2005, p. 1720) suggested that ASPM, a gene associated with microcephaly, underwent natural selection within the last 500 to 14,100 years. Their analyses based on comparison with computer simulations indicated that ASPM had an unusual pattern of variation. However, when we compare ASPM empirically to a large number of other loci, its variation is not unusual and does not support selection.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Yu, Fuli -- Hill, R Sean -- Schaffner, Stephen F -- Sabeti, Pardis C -- Wang, Eric T -- Mignault, Andre A -- Ferland, Russell J -- Moyzis, Robert K -- Walsh, Christopher A -- Reich, David -- New York, N.Y. -- Science. 2007 Apr 20;316(5823):370.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Harvard Medical School, New Research Building, 77 Avenue Louis Pasteur, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17446375" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptation, Biological ; African Continental Ancestry Group/genetics ; Asian Continental Ancestry Group/genetics ; Biological Evolution ; Brain/anatomy & histology ; European Continental Ancestry Group/genetics ; Gene Frequency ; Haplotypes ; Humans ; Nerve Tissue Proteins/*genetics ; *Polymorphism, Single Nucleotide ; Recombination, Genetic ; *Selection, Genetic ; Sequence Analysis, DNA ; Time
    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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  • 3
    Publication Date: 2002-05-25
    Description: Haplotype-based methods offer a powerful approach to disease gene mapping, based on the association between causal mutations and the ancestral haplotypes on which they arose. As part of The SNP Consortium Allele Frequency Projects, we characterized haplotype patterns across 51 autosomal regions (spanning 13 megabases of the human genome) in samples from Africa, Europe, and Asia. We show that the human genome can be parsed objectively into haplotype blocks: sizable regions over which there is little evidence for historical recombination and within which only a few common haplotypes are observed. The boundaries of blocks and specific haplotypes they contain are highly correlated across populations. We demonstrate that such haplotype frameworks provide substantial statistical power in association studies of common genetic variation across each region. Our results provide a foundation for the construction of a haplotype map of the human genome, facilitating comprehensive genetic association studies of human disease.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gabriel, Stacey B -- Schaffner, Stephen F -- Nguyen, Huy -- Moore, Jamie M -- Roy, Jessica -- Blumenstiel, Brendan -- Higgins, John -- DeFelice, Matthew -- Lochner, Amy -- Faggart, Maura -- Liu-Cordero, Shau Neen -- Rotimi, Charles -- Adeyemo, Adebowale -- Cooper, Richard -- Ward, Ryk -- Lander, Eric S -- Daly, Mark J -- Altshuler, David -- New York, N.Y. -- Science. 2002 Jun 21;296(5576):2225-9. Epub 2002 May 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Whitehead/MIT Center for Genome Research, Cambridge, MA 02139, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12029063" target="_blank"〉PubMed〈/a〉
    Keywords: Africa ; African Americans ; African Continental Ancestry Group/genetics ; Alleles ; Asian Continental Ancestry Group/genetics ; China ; Chromosome Mapping ; Computational Biology ; Computer Simulation ; Europe ; European Continental Ancestry Group/genetics ; Genetic Variation ; *Genome, Human ; Genotype ; *Haplotypes ; Humans ; Japan ; Linkage Disequilibrium ; Models, Genetic ; *Polymorphism, Single Nucleotide ; Recombination, Genetic
    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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