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  • 1
    Publication Date: 2008-03-18
    Description: Common human diseases result from the interplay of many genes and environmental factors. Therefore, a more integrative biology approach is needed to unravel the complexity and causes of such diseases. To elucidate the complexity of common human diseases such as obesity, we have analysed the expression of 23,720 transcripts in large population-based blood and adipose tissue cohorts comprehensively assessed for various phenotypes, including traits related to clinical obesity. In contrast to the blood expression profiles, we observed a marked correlation between gene expression in adipose tissue and obesity-related traits. Genome-wide linkage and association mapping revealed a highly significant genetic component to gene expression traits, including a strong genetic effect of proximal (cis) signals, with 50% of the cis signals overlapping between the two tissues profiled. Here we demonstrate an extensive transcriptional network constructed from the human adipose data that exhibits significant overlap with similar network modules constructed from mouse adipose data. A core network module in humans and mice was identified that is enriched for genes involved in the inflammatory and immune response and has been found to be causally associated to obesity-related traits.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Emilsson, Valur -- Thorleifsson, Gudmar -- Zhang, Bin -- Leonardson, Amy S -- Zink, Florian -- Zhu, Jun -- Carlson, Sonia -- Helgason, Agnar -- Walters, G Bragi -- Gunnarsdottir, Steinunn -- Mouy, Magali -- Steinthorsdottir, Valgerdur -- Eiriksdottir, Gudrun H -- Bjornsdottir, Gyda -- Reynisdottir, Inga -- Gudbjartsson, Daniel -- Helgadottir, Anna -- Jonasdottir, Aslaug -- Jonasdottir, Adalbjorg -- Styrkarsdottir, Unnur -- Gretarsdottir, Solveig -- Magnusson, Kristinn P -- Stefansson, Hreinn -- Fossdal, Ragnheidur -- Kristjansson, Kristleifur -- Gislason, Hjortur G -- Stefansson, Tryggvi -- Leifsson, Bjorn G -- Thorsteinsdottir, Unnur -- Lamb, John R -- Gulcher, Jeffrey R -- Reitman, Marc L -- Kong, Augustine -- Schadt, Eric E -- Stefansson, Kari -- England -- Nature. 2008 Mar 27;452(7186):423-8. doi: 10.1038/nature06758. Epub 2008 Mar 16.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉deCODE genetics, 101 Reykjavik, Iceland.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18344981" target="_blank"〉PubMed〈/a〉
    Keywords: Adipose Tissue/metabolism ; Adolescent ; Adult ; Aged ; Aged, 80 and over ; Animals ; Blood/metabolism ; Body Mass Index ; Cohort Studies ; European Continental Ancestry Group/genetics ; Female ; *Gene Expression Profiling ; Gene Expression Regulation/*genetics ; Genome, Human ; Humans ; Iceland ; Lod Score ; Male ; Mice ; Middle Aged ; Obesity/*genetics ; Polymorphism, Single Nucleotide/genetics ; Quantitative Trait Loci/genetics ; Sample Size ; Waist-Hip Ratio
    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: 2010-10-29
    Description: 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.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kong, Augustine -- Thorleifsson, Gudmar -- Gudbjartsson, Daniel F -- Masson, Gisli -- Sigurdsson, Asgeir -- Jonasdottir, Aslaug -- Walters, G Bragi -- Jonasdottir, Adalbjorg -- Gylfason, Arnaldur -- Kristinsson, Kari Th -- Gudjonsson, Sigurjon A -- Frigge, Michael L -- Helgason, Agnar -- Thorsteinsdottir, Unnur -- Stefansson, Kari -- England -- Nature. 2010 Oct 28;467(7319):1099-103. doi: 10.1038/nature09525.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉deCODE genetics, Sturlugata 8, 101 Reykjavik, Iceland. kong@decode.is〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20981099" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Chromosomes, Human/*genetics ; DNA-Binding Proteins/genetics ; Europe/ethnology ; Exons/genetics ; Female ; Genetics, Population ; Haplotypes/genetics ; Heterozygote ; Histone-Lysine N-Methyltransferase/genetics ; Humans ; Linkage Disequilibrium/genetics ; Male ; Meiosis/genetics ; Nigeria/ethnology ; Pedigree ; Polymorphism, Single Nucleotide/genetics ; Recombination, Genetic/*genetics ; Sample Size ; Selection, Genetic/genetics ; *Sex Characteristics ; Utah
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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