What's new for 'JKB_daily1' in PubMed

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

Sent on Wednesday, 2012 October 10
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 - 4 of 4

1.	Nat Genet. 2012 Jul 27;44(8):833. doi: 10.1038/ng.2374. Can we all just get along? [No authors listed]
	PMID: 22836086 [PubMed - indexed for MEDLINE]
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2.	Nat Genet. 2012 Jul 22;44(8):955-9. doi: 10.1038/ng.2354. Fast and accurate genotype imputation in genome-wide association studies through pre-phasing. Howie B, Fuchsberger C, Stephens M, Marchini J, Abecasis GR. Source Department of Human Genetics, University of Chicago, Chicago, Illinois, USA. Abstract The 1000 Genomes Project and disease-specific sequencing efforts are producing large collections of haplotypes that can be used as reference panels for genotype imputation in genome-wide association studies (GWAS). However, imputing from large reference panels with existing methods imposes a high computational burden. We introduce a strategy called 'pre-phasing' that maintains the accuracy of leading methods while reducing computational costs. We first statistically estimate the haplotypes for each individual within the GWAS sample (pre-phasing) and then impute missing genotypes into these estimated haplotypes. This reduces the computational cost because (i) the GWAS samples must be phased only once, whereas standard methods would implicitly repeat phasing with each reference panel update, and (ii) it is much faster to match a phased GWAS haplotype to one reference haplotype than to match two unphased GWAS genotypes to a pair of reference haplotypes. We implemented our approach in the MaCH and IMPUTE2 frameworks, and we tested it on data sets from the Wellcome Trust Case Control Consortium 2 (WTCCC2), the Genetic Association Information Network (GAIN), the Women's Health Initiative (WHI) and the 1000 Genomes Project. This strategy will be particularly valuable for repeated imputation as reference panels evolve.
	PMID: 22820512 [PubMed - indexed for MEDLINE]
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3.	Nat Genet. 2012 Jul 1;44(8):946-9. doi: 10.1038/ng.2343. The yak genome and adaptation to life at high altitude. Qiu Q, Zhang G, Ma T, Qian W, Wang J, Ye Z, Cao C, Hu Q, Kim J, Larkin DM, Auvil L, Capitanu B, Ma J, Lewin HA, Qian X, Lang Y, Zhou R, Wang L, Wang K, Xia J, Liao S, Pan S, Lu X, Hou H, Wang Y, Zang X, Yin Y, Ma H, Zhang J, Wang Z, Zhang Y, Zhang D, Yonezawa T, Hasegawa M, Zhong Y, Liu W, Zhang Y, Huang Z, Zhang S, Long R, Yang H, Wang J, Lenstra JA, Cooper DN, Wu Y, Wang J, Shi P, Wang J, Liu J. Source State Key Laboratory of Grassland Agro-Ecosystem, College of Life Science, Lanzhou University, Lanzhou, China. Abstract Domestic yaks (Bos grunniens) provide meat and other necessities for Tibetans living at high altitude on the Qinghai-Tibetan Plateau and in adjacent regions. Comparison between yak and the closely related low-altitude cattle (Bos taurus) is informative in studying animal adaptation to high altitude. Here, we present the draft genome sequence of a female domestic yak generated using Illumina-based technology at 65-fold coverage. Genomic comparisons between yak and cattle identify an expansion in yak of gene families related to sensory perception and energy metabolism, as well as an enrichment of protein domains involved in sensing the extracellular environment and hypoxic stress. Positively selected and rapidly evolving genes in the yak lineage are also found to be significantly enriched in functional categories and pathways related to hypoxia and nutrition metabolism. These findings may have important implications for understanding adaptation to high altitude in other animal species and for hypoxia-related diseases in humans.
	PMID: 22751099 [PubMed - indexed for MEDLINE]
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4.	Nat Genet. 2012 Jul 1;44(8):881-5. doi: 10.1038/ng.2334. Structural haplotypes and recent evolution of the human 17q21.31 region. Boettger LM, Handsaker RE, Zody MC, McCarroll SA. Source Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA. Abstract Structurally complex genomic regions are not yet well understood. One such locus, human chromosome 17q21.31, contains a megabase-long inversion polymorphism, many uncharacterized copy-number variations (CNVs) and markers that associate with female fertility, female meiotic recombination and neurological disease. Additionally, the inverted H2 form of 17q21.31 seems to be positively selected in Europeans. We developed a population genetics approach to analyze complex genome structures and identified nine segregating structural forms of 17q21.31. Both the H1 and H2 forms of the 17q21.31 inversion polymorphism contain independently derived, partial duplications of the KANSL1 gene; these duplications, which produce novel KANSL1 transcripts, have both recently risen to high allele frequencies (26% and 19%) in Europeans. An older H2 form lacking such a duplication is present at low frequency in European and central African hunter-gatherer populations. We further show that complex genome structures can be analyzed by imputation from SNPs.
	PMID: 22751096 [PubMed - indexed for MEDLINE]
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