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Sender's message: Sepsis or genomics or altitude: JKB_daily1

Sent on Thursday, 2010 Dec 16
Search (sepsis[MeSH Terms] OR septic shock[MeSH Terms] OR altitude[MeSH Terms] OR genomics[MeSH Terms] OR genetics[MeSH Terms] OR retrotransposons[MeSH Terms] OR macrophage[MeSH Terms]) AND ("2009/8/8"[Publication Date] : "3000"[Publication Date]) AND (("Science"[Journal] OR "Nature"[Journal] OR "The New England journal of medicine"[Journal] OR "Lancet"[Journal] OR "Nature genetics"[Journal] OR "Nature medicine"[Journal]) OR (Hume DA[Author] OR Baillie JK[Author] OR Faulkner, Geoffrey J[Author]))
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PubMed Results

Items 1 - 10 of 10

1.	Science. 2010 Nov 19;330(6007):1030-1. Science and society. GM mosquito trial alarms opponents, strains ties in Gates-funded project. Enserink M.
	PMID: 21097909 [PubMed - indexed for MEDLINE]
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2.	Nature. 2010 Oct 28;467(7319):1138. Genomics: Seeing more SNPs. [No authors listed]
	PMID: 20981105 [PubMed - indexed for MEDLINE]
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3.	Nature. 2010 Oct 28;467(7319):1136. Genomics: The tough new variants. [No authors listed]
	PMID: 20981104 [PubMed - indexed for MEDLINE]
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4.	Nature. 2010 Oct 28;467(7319):1135-8. Genomics: The search for association. Baker M.
	PMID: 20981103 [PubMed - indexed for MEDLINE]
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5.	Nature. 2010 Oct 28;467(7319):1099-103. Fine-scale recombination rate differences between sexes, populations and individuals. Kong A, Thorleifsson G, Gudbjartsson DF, Masson G, Sigurdsson A, Jonasdottir A, Walters GB, Jonasdottir A, Gylfason A, Kristinsson KT, Gudjonsson SA, Frigge ML, Helgason A, Thorsteinsdottir U, Stefansson K. deCODE genetics, Sturlugata 8, 101 Reykjavík, Iceland. kong@decode.is Abstract Meiotic recombinations contribute to genetic diversity by yielding new combinations of alleles. Recently, high-resolution recombination maps were inferred from high-density single-nucleotide polymorphism (SNP) data using linkage disequilibrium (LD) patterns that capture historical recombination events. The use of these maps has been demonstrated by the identification of recombination hotspots and associated motifs, and the discovery that the PRDM9 gene affects the proportion of recombinations occurring at hotspots. However, these maps provide no information about individual or sex differences. Moreover, locus-specific demographic factors like natural selection can bias LD-based estimates of recombination rate. Existing genetic maps based on family data avoid these shortcomings, but their resolution is limited by relatively few meioses and a low density of markers. Here we used genome-wide SNP data from 15,257 parent-offspring pairs to construct the first recombination maps based on directly observed recombinations with a resolution that is effective down to 10 kilobases (kb). Comparing male and female maps reveals that about 15% of hotspots in one sex are specific to that sex. Although male recombinations result in more shuffling of exons within genes, female recombinations generate more new combinations of nearby genes. We discover novel associations between recombination characteristics of individuals and variants in the PRDM9 gene and we identify new recombination hotspots. Comparisons of our maps with two LD-based maps inferred from data of HapMap populations of Utah residents with ancestry from northern and western Europe (CEU) and Yoruba in Ibadan, Nigeria (YRI) reveal population differences previously masked by noise and map differences at regions previously described as targets of natural selection.
	PMID: 20981099 [PubMed - indexed for MEDLINE]
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6.	Nature. 2010 Oct 28;467(7319):1095-8. Late middle Eocene epoch of Libya yields earliest known radiation of African anthropoids. Jaeger JJ, Beard KC, Chaimanee Y, Salem M, Benammi M, Hlal O, Coster P, Bilal AA, Duringer P, Schuster M, Valentin X, Marandat B, Marivaux L, Métais E, Hammuda O, Brunet M. Institut International de Paléoprimatologie et Paléontologie humaine, Évolution et Paléoenvironnements, CNRS UMR 6046, Université de Poitiers, 40 Avenue du Recteur Pineau, 86022 Poitiers, France. jean-jacques.jaeger@univ-poitiers.fr Abstract Reconstructing the early evolutionary history of anthropoid primates is hindered by a lack of consensus on both the timing and biogeography of anthropoid origins. Some prefer an ancient (Cretaceous) origin for anthropoids in Africa or some other Gondwanan landmass, whereas others advocate a more recent (early Cenozoic) origin for anthropoids in Asia, with subsequent dispersal of one or more early anthropoid taxa to Africa. The oldest undoubted African anthropoid primates described so far are three species of the parapithecid Biretia from the late middle Eocene Bir El Ater locality of Algeria and the late Eocene BQ-2 site in the Fayum region of northern Egypt. Here we report the discovery of the oldest known diverse assemblage of African anthropoids from the late middle Eocene Dur At-Talah escarpment in central Libya. The primate assemblage from Dur At-Talah includes diminutive species pertaining to three higher-level anthropoid clades (Afrotarsiidae, Parapithecidae and Oligopithecidae) as well as a small species of the early strepsirhine primate Karanisia. The high taxonomic diversity of anthropoids at Dur At-Talah indicates either a much longer interval of anthropoid evolution in Africa than is currently documented in the fossil record or the nearly synchronous colonization of Africa by multiple anthropoid clades at some time during the middle Eocene epoch.
	PMID: 20981098 [PubMed - indexed for MEDLINE]
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7.	Nature. 2010 Oct 28;467(7319):1061-73. A map of human genome variation from population-scale sequencing. 1000 Genomes Project Consortium, Durbin RM, Abecasis GR, Altshuler DL, Auton A, Brooks LD, Durbin RM, Gibbs RA, Hurles ME, McVean GA. Collaborators: Altshuler DL, Durbin RM, Abecasis GR, Bentley DR, Chakravarti A, Clark AG, Collins FS, De La Vega FM, Donnelly P, Egholm M, Flicek P, Gabriel SB, Gibbs RA, Knoppers BM, Lander ES, Lehrach H, Mardis ER, McVean GA, Nickerson DA, Peltonen L, Schafer AJ, Sherry ST, Wang J, Wilson R, Gibbs RA, Deiros D, Metzker M, Muzny D, Reid J, Wheeler D, Wang J, Li J, Jian M, Li G, Li R, Liang H, Tian G, Wang B, Wang J, Wang W, Yang H, Zhang X, Zheng H, Lander ES, Altshuler DL, Ambrogio L, Bloom T, Cibulskis K, Fennell TJ, Gabriel SB, Jaffe DB, Shefler E, Sougnez CL, Bentley DR, Gormley N, Humphray S, Kingsbury Z, Koko-Gonzales P, Stone J, McKernan KJ, Costa GL, Ichikawa JK, Lee CC, Sudbrak R, Lehrach H, Borodina TA, Dahl A, Davydov AN, Marquardt P, Mertes F, Nietfeld W, Rosenstiel P, Schreiber S, Soldatov AV, Timmermann B, Tolzmann M, Egholm M, Affourtit J, Ashworth D, Attiya S, Bachorski M, Buglione E, Burke A, Caprio A, Celone C, Clark S, Conners D, Desany B, Gu L, Guccione L, Kao K, Kebbel A, Knowlton J, Labrecque M, McDade L, Mealmaker C, Minderman M, Nawrocki A, Niazi F, Pareja K, Ramenani R, Riches D, Song W, Turcotte C, Wang S, Mardis ER, Wilson RK, Dooling D, Fulton L, Fulton R, Weinstock G, Durbin RM, Burton J, Carter DM, Churcher C, Coffey A, Cox A, Palotie A, Quail M, Skelly T, Stalker J, Swerdlow HP, Turner D, De Witte A, Giles S, Gibbs RA, Wheeler D, Bainbridge M, Challis D, Sabo A, Yu F, Yu J, Wang J, Fang X, Guo X, Li R, Li Y, Luo R, Tai S, Wu H, Zheng H, Zheng X, Zhou Y, Li G, Wang J, Yang H, Marth GT, Garrison EP, Huang W, Indap A, Kural D, Lee WP, Leong WF, Quinlan AR, Stewart C, Stromberg MP, Ward AN, Wu J, Lee C, Mills RE, Shi X, Daly MJ, DePristo MA, Altshuler DL, Ball AD, Banks E, Bloom T, Browning BL, Cibulskis K, Fennell TJ, Garimella KV, Grossman SR, Handsaker RE, Hanna M, Hartl C, Jaffe DB, Kernytsky AM, Korn JM, Li H, Maguire JR, McCarroll SA, McKenna A, Nemesh JC, Philippakis AA, Poplin RE, Price A, Rivas MA, Sabeti PC, Schaffner SF, Shefler E, Shlyakhter IA, Cooper DN, Ball EV, Mort M, Phillips AD, Stenson PD, Sebat J, Makarov V, Ye K, Yoon SC, Bustamante CD, Clark AG, Boyko A, Degenhardt J, Gravel S, Gutenkunst RN, Kaganovich M, Keinan A, Lacroute P, Ma X, Reynolds A, Clarke L, Flicek P, Cunningham F, Herrero J, Keenen S, Kulesha E, Leinonen R, McLaren WM, Radhakrishnan R, Smith RE, Zalunin V, Zheng-Bradley X, Korbel JO, Stütz AM, Humphray S, Bauer M, Cheetham RK, Cox T, Eberle M, James T, Kahn S, Murray L, Chakravarti A, Ye K, De La Vega FM, Fu Y, Hyland FC, Manning JM, McLaughlin SF, Peckham HE, Sakarya O, Sun YA, Tsung EF, Batzer MA, Konkel MK, Walker JA, Sudbrak R, Albrecht MW, Amstislavskiy VS, Herwig R, Parkhomchuk DV, Sherry ST, Agarwala R, Khouri HM, Morgulis AO, Paschall JE, Phan LD, Rotmistrovsky KE, Sanders RD, Shumway MF, Xiao C, McVean GA, Auton A, Iqbal Z, Lunter G, Marchini JL, Moutsianas L, Myers S, Tumian A, Desany B, Knight J, Winer R, Craig DW, Beckstrom-Sternberg SM, Christoforides A, Kurdoglu AA, Pearson JV, Sinari SA, Tembe WD, Haussler D, Hinrichs AS, Katzman SJ, Kern A, Kuhn RM, Przeworski M, Hernandez RD, Howie B, Kelley JL, Melton SC, Abecasis GR, Li Y, Anderson P, Blackwell T, Chen W, Cookson WO, Ding J, Kang HM, Lathrop M, Liang L, Moffatt MF, Scheet P, Sidore C, Snyder M, Zhan X, Zöllner S, Awadalla P, Casals F, Idaghdour Y, Keebler J, Stone EA, Zilversmit M, Jorde L, Xing J, Eichler EE, Aksay G, Alkan C, Hajirasouliha I, Hormozdiari F, Kidd JM, Sahinalp SC, Sudmant PH, Mardis ER, Chen K, Chinwalla A, Ding L, Koboldt DC, McLellan MD, Dooling D, Weinstock G, Wallis JW, Wendl MC, Zhang Q, Durbin RM, Albers CA, Ayub Q, Balasubramaniam S, Barrett JC, Carter DM, Chen Y, Conrad DF, Danecek P, Dermitzakis ET, Hu M, Huang N, Hurles ME, Jin H, Jostins L, Keane TM, Le SQ, Lindsay S, Long Q, MacArthur DG, Montgomery SB, Parts L, Stalker J, Tyler-Smith C, Walter K, Zhang Y, Gerstein MB, Snyder M, Abyzov A, Balasubramanian S, Bjornson R, Du J, Grubert F, Habegger L, Haraksingh R, Jee J, Khurana E, Lam HY, Leng J, Mu XJ, Urban AE, Zhang Z, Li Y, Luo R, Marth GT, Garrison EP, Kural D, Quinlan AR, Stewart C, Stromberg MP, Ward AN, Wu J, Lee C, Mills RE, Shi X, McCarroll SA, Banks E, DePristo MA, Handsaker RE, Hartl C, Korn JM, Li H, Nemesh JC, Sebat J, Makarov V, Ye K, Yoon SC, Degenhardt J, Kaganovich M, Clarke L, Smith RE, Zheng-Bradley X, Korbel JO, Humphray S, Cheetham RK, Eberle M, Kahn S, Murray L, Ye K, De La Vega FM, Fu Y, Peckham HE, Sun YA, Batzer MA, Konkel MK, Walker JA, Xiao C, Iqbal Z, Desany B, Blackwell T, Snyder M, Xing J, Eichler EE, Aksay G, Alkan C, Hajirasouliha I, Hormozdiari F, Kidd JM, Chen K, Chinwalla A, Ding L, McLellan MD, Wallis JW, Hurles ME, Conrad DF, Walter K, Zhang Y, Gerstein MB, Snyder M, Abyzov A, Du J, Grubert F, Haraksingh R, Jee J, Khurana E, Lam HY, Leng J, Mu XJ, Urban AE, Zhang Z, Gibbs RA, Bainbridge M, Challis D, Coafra C, Dinh H, Kovar C, Lee S, Muzny D, Nazareth L, Reid J, Sabo A, Yu F, Yu J, Marth GT, Garrison EP, Indap A, Leong WF, Quinlan AR, Stewart C, Ward AN, Wu J, Cibulskis K, Fennell TJ, Gabriel SB, Garimella KV, Hartl C, Shefler E, Sougnez CL, Wilkinson J, Clark AG, Gravel S, Grubert F, Clarke L, Flicek P, Smith RE, Zheng-Bradley X, Sherry ST, Khouri HM, Paschall JE, Shumway MF, Xiao C, McVean GA, Katzman SJ, Abecasis GR, Mardis ER, Dooling D, Fulton L, Fulton R, Koboldt DC, Durbin RM, Balasubramaniam S, Coffey A, Keane TM, MacArthur DG, Palotie A, Scott C, Stalker J, Tyler-Smith C, Gerstein MB, Balasubramanian S, Chakravarti A, Knoppers BM, Abecasis GR, Bustamante CD, Gharani N, Gibbs RA, Jorde L, Kaye JS, Kent A, Li T, McGuire AL, McVean GA, Ossorio PN, Rotimi CN, Su Y, Toji LH, Tyler-Smith C, Brooks LD, Felsenfeld AL, McEwen JE, Abdallah A, Juenger CR, Clemm NC, Collins FS, Duncanson A, Green ED, Guyer MS, Peterson JL, Schafer AJ. Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge CB10 1SA, UK. rd@sanger.ac.uk Comment in: Nature. 2010 Oct 28;467(7319):1050-1. Nat Rev Genet. 2010 Dec;11(12):814. Abstract The 1000 Genomes Project aims to provide a deep characterization of human genome sequence variation as a foundation for investigating the relationship between genotype and phenotype. Here we present results of the pilot phase of the project, designed to develop and compare different strategies for genome-wide sequencing with high-throughput platforms. We undertook three projects: low-coverage whole-genome sequencing of 179 individuals from four populations; high-coverage sequencing of two mother-father-child trios; and exon-targeted sequencing of 697 individuals from seven populations. We describe the location, allele frequency and local haplotype structure of approximately 15 million single nucleotide polymorphisms, 1 million short insertions and deletions, and 20,000 structural variants, most of which were previously undescribed. We show that, because we have catalogued the vast majority of common variation, over 95% of the currently accessible variants found in any individual are present in this data set. On average, each person is found to carry approximately 250 to 300 loss-of-function variants in annotated genes and 50 to 100 variants previously implicated in inherited disorders. We demonstrate how these results can be used to inform association and functional studies. From the two trios, we directly estimate the rate of de novo germline base substitution mutations to be approximately 10(-8) per base pair per generation. We explore the data with regard to signatures of natural selection, and identify a marked reduction of genetic variation in the neighbourhood of genes, due to selection at linked sites. These methods and public data will support the next phase of human genetic research.
	PMID: 20981092 [PubMed - indexed for MEDLINE]
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8.	Nature. 2010 Oct 28;467(7319):1050-1. Genomics: In search of rare human variants. Nielsen R< /a>. Comment on: Nature. 2010 Oct 28;467(7319):1061-73.
	PMID: 20981085 [PubMed - indexed for MEDLINE]
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9.	Nature. 2010 Oct 28;467(7319):1026-7. Human genome: Genomes by the thousand. [No authors listed]
	PMID: 20981067 [PubMed - indexed for MEDLINE]
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10.	Nature. 2010 Oct 28;467(7319):1021. Mountaintop mining plans close to defeat. Gilbert N.
	PMID: 20981066 [PubMed - indexed for MEDLINE]
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