What's new for 'JKB_daily1' in PubMed

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

Sent on Saturday, 2012 August 04
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 - 3 of 3

1.	Nat Genet. 2012 May 29;44(6):623-30. doi: 10.1038/ng.2303. Exome sequencing and the genetic basis of complex traits. Kiezun A, Garimella K, Do R, Stitziel NO, Neale BM, McLaren PJ, Gupta N, Sklar P, Sullivan PF, Moran JL, Hultman CM, Lichtenstein P, Magnusson P, Lehner T, Shugart YY, Price AL, de Bakker PI, Purcell SM, Sunyaev SR. Source Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
	PMID: 22641211 [PubMed - indexed for MEDLINE]
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2.	Nat Genet. 2012 May 29;44(6):619-22. doi: 10.1038/ng.2287. The Pediatric Cancer Genome Project. Downing JR, Wilson RK, Zhang J, Mardis ER, Pui CH, Ding L, Ley TJ, Evans WE. Source St. Jude Children's Research Hospital-Washington University Pediatric Cancer Genome Project, Memphis, Tennessee, USA. james.downing@stjude.org
	PMID: 22641210 [PubMed - indexed for MEDLINE]
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3.	Nat Genet. 2012 May 20;44(6):725-31. doi: 10.1038/ng.2285. A model-based approach for analysis of spatial structure in genetic data. Yang WY, Novembre J, Eskin E, Halperin E. Source Interdepartmental Program in Bioinformatics, University of California, Los Angeles, California, USA. Abstract Characterizing genetic diversity within and between populations has broad applications in studies of human disease and evolution. We propose a new approach, spatial ancestry analysis, for the modeling of genotypes in two- or three-dimensional space. In spatial ancestry analysis (SPA), we explicitly model the spatial distribution of each SNP by assigning an allele frequency as a continuous function in geographic space. We show that the explicit modeling of the allele frequency allows individuals to be localized on the map on the basis of their genetic information alone. We apply our SPA method to a European and a worldwide population genetic variation data set and identify SNPs showing large gradients in allele frequency, and we suggest these as candidate regions under selection. These regions include SNPs in the well-characterized LCT region, as well as at loci including FOXP2, OCA2 and LRP1B.
	PMID: 22610118 [PubMed - indexed for MEDLINE]
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