Friday, 30 September 2011

What's new for 'JKB_daily1' in PubMed

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

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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 - 7 of 7

1. Science. 2011 Sep 16;333(6049):1575; author reply 1575-6.

Trade-secret model: legal limitations.

Dove ES, Joly Y, Knoppers BM.
PMID:
21921179
[PubMed - indexed for MEDLINE]
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2. Science. 2011 Sep 16;333(6049):1574; author reply 1575-6.

Trade-secret model: privacy rights.

Matsuura JH.
PMID:
21921177
[PubMed - indexed for MEDLINE]
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3. Science. 2011 Sep 16;333(6049):1574-5; author reply 1575-6.

Trade-secret model: potential pitfalls.

Weil CJ, Compton C.
PMID:
21921176
[PubMed - indexed for MEDLINE]
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4. N Engl J Med. 2011 Sep 15;365(11):1033-41.

Genomics, health care, and society.

Hudson KL.

Source

Office of the Director, National Institutes of Health, Bethesda, MD 20892, USA. hudsonkl@od.nih.gov

Free Article
PMID:
21916641
[PubMed - indexed for MEDLINE]
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5. Nature. 2011 Aug 18;476(7360):361-3.

Clinical science: Research and repair.

Perkel J.
PMID:
21853556
[PubMed - indexed for MEDLINE]
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6. Nature. 2011 Aug 18;476(7360):346-50. doi: 10.1038/nature10350.

Functional genomics reveal that the serine synthesis pathway is essential in breast cancer.

Possemato R, Marks KM, Shaul YD, Pacold ME, Kim D, Birsoy K, Sethumadhavan S, Woo HK, Jang HG, Jha AK, Chen WW, Barrett FG, Stransky N, Tsun ZY, Cowley GS, Barretina J, Kalaany NY, Hsu PP, Ottina K, Chan AM, Yuan B, Garraway LA, Root DE, Mino-Kenudson M, Brachtel EF, Driggers EM, Sabatini DM.

Source

Whitehead Institute for Biomedical Research, Nine Cambridge Center, Cambridge, Massachusetts 02142, USA.

Abstract

Cancer cells adapt their metabolic processes to drive macromolecular biosynthesis for rapid cell growth and proliferation. RNA interference (RNAi)-based loss-of-function screening has proven powerful for the identification of new and interesting cancer targets, and recent studies have used this technology in vivo to identify novel tumour suppressor genes. Here we developed a method for identifying novel cancer targets via negative-selection RNAi screening using a human breast cancer xenograft model at an orthotopic site in the mouse. Using this method, we screened a set of metabolic genes associated with aggressive breast cancer and stemness to identify those required for in vivo tumorigenesis. Among the genes identified, phosphoglycerate dehydrogenase (PHGDH) is in a genomic region of recurrent copy number gain in breast cancer and PHGDH protein levels are elevated in 70% of oestrogen receptor (ER)-negative breast cancers. PHGDH catalyses the first step in the serine biosynthesis pathway, and breast cancer cells with high PHGDH expression have increased serine synthesis flux. Suppression of PHGDH in cell lines with elevated PHGDH expression, but not in those without, causes a strong decrease in cell proliferation and a reduction in serine synthesis. We find that PHGDH suppression does not affect intracellular serine levels, but causes a drop in the levels of α-ketoglutarate, another output of the pathway and a tricarboxylic acid (TCA) cycle intermediate. In cells with high PHGDH expression, the serine synthesis pathway contributes approximately 50% of the total anaplerotic flux of glutamine into the TCA cycle. These results reveal that certain breast cancers are dependent upon increased serine pathway flux caused by PHGDH overexpression and demonstrate the utility of in vivo negative-selection RNAi screens for finding potential anticancer targets.

PMID:
21760589
[PubMed - indexed for MEDLINE]
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7. Nature. 2011 Jun 19;476(7360):341-5. doi: 10.1038/nature10234.

Integrative genomics identifies MCU as an essential component of the mitochondrial calcium uniporter.

Baughman JM, Perocchi F, Girgis HS, Plovanich M, Belcher-Timme CA, Sancak Y, Bao XR, Strittmatter L, Goldberger O, Bogorad RL, Koteliansky V, Mootha VK.

Source

Department of Systems Biology, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts 02114, USA.

Abstract

Mitochondria from diverse organisms are capable of transporting large amounts of Ca(2+) via a ruthenium-red-sensitive, membrane-potential-dependent mechanism called the uniporter. Although the uniporter's biophysical properties have been studied extensively, its molecular composition remains elusive. We recently used comparative proteomics to identify MICU1 (also known as CBARA1), an EF-hand-containing protein that serves as a putative regulator of the uniporter. Here, we use whole-genome phylogenetic profiling, genome-wide RNA co-expression analysis and organelle-wide protein coexpression analysis to predict proteins functionally related to MICU1. All three methods converge on a novel predicted transmembrane protein, CCDC109A, that we now call 'mitochondrial calcium uniporter' (MCU). MCU forms oligomers in the mitochondrial inner membrane, physically interacts with MICU1, and resides within a large molecular weight complex. Silencing MCU in cultured cells or in vivo in mouse liver severely abrogates mitochondrial Ca(2+) uptake, whereas mitochondrial respiration and membrane potential remain fully intact. MCU has two predicted transmembrane helices, which are separated by a highly conserved linker facing the intermembrane space. Acidic residues in this linker are required for its full activity. However, an S259A point mutation retains function but confers resistance to Ru360, the most potent inhibitor of the uniporter. Our genomic, physiological, biochemical and pharmacological data firmly establish MCU as an essential component of the mitochondrial Ca(2+) uniporter.

PMID:
21685886
[PubMed - indexed for MEDLINE]
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Thursday, 22 September 2011

What's new for 'JKB_daily1' in PubMed

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

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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
Item 1 of 1

1. Lancet. 2011 Sep 3;378(9794):960.

Sepsis and spontaneous bacterial peritonitis in Thailand.

Kerdsin A, Dejsirilert S, Sawanpanyalert P, Boonnark A, Noithachang W, Sriyakum D, Simkum S, Chokngam S, Gottschalk M, Akeda Y, Oishi K.

Source

National Institute of Health, Department of Medical Sciences, Ministry of Public Health, Nonthaburi, Thailand.

PMID:
21890062
[PubMed - indexed for MEDLINE]
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Saturday, 17 September 2011

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, 2011 Sep 17
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. N Engl J Med. 2011 Sep 8;365(10):892-900.

Genetic basis for in vivo daptomycin resistance in enterococci.

Arias CA, Panesso D, McGrath DM, Qin X, Mojica MF, Miller C, Diaz L, Tran TT, Rincon S, Barbu EM, Reyes J, Roh JH, Lobos E, Sodergren E, Pasqualini R, Arap W, Quinn JP, Shamoo Y, Murray BE, Weinstock GM.

Source

Department of Internal Medicine, Division of Infectious Diseases, University of Texas Medical School at Houston, Houston, TX 77030, USA. cesar.arias@uth.tmc.edu

Abstract

BACKGROUND:

Daptomycin is a lipopeptide with bactericidal activity that acts on the cell membrane of enterococci and is often used off-label to treat patients infected with vancomycin-resistant enterococci. However, the emergence of resistance to daptomycin during therapy threatens its usefulness.

METHODS:

We performed whole-genome sequencing and characterization of the cell envelope of a clinical pair of vancomycin-resistant Enterococcus faecalis isolates from the blood of a patient with fatal bacteremia; one isolate (S613) was from blood drawn before treatment and the other isolate (R712) was from blood drawn after treatment with daptomycin. The minimal inhibitory concentrations (MICs) of these two isolates were 1 and 12 μg per milliliter, respectively. Gene replacements were made to exchange the alleles found in isolate S613 with those in isolate R712.

RESULTS:

Isolate R712 had in-frame deletions in three genes. Two genes encoded putative enzymes involved in phospholipid metabolism, GdpD (which denotes glycerophosphoryl diester phosphodiesterase) and Cls (which denotes cardiolipin synthetase), and one gene encoded a putative membrane protein, LiaF (which denotes lipid II cycle-interfering antibiotics protein but whose exact function is not known). LiaF is predicted to be a member of a three-component regulatory system (LiaFSR) involved in the stress-sensing response of the cell envelope to antibiotics. Replacement of the liaF allele of isolate S613 with the liaF allele from isolate R712 quadrupled the MIC of daptomycin, whereas replacement of the gdpD allele had no effect on MIC. Replacement of both the liaF and gdpD alleles of isolate S613 with the liaF and gdpD alleles of isolate R712 raised the daptomycin MIC for isolate S613 to 12 μg per milliliter. As compared with isolate S613, isolate R712--the daptomycin-resistant isolate--had changes in the structure of the cell envelope and alterations in membrane permeability and membrane potential.

CONCLUSIONS:

Mutations in genes encoding LiaF and a GdpD-family protein were necessary and sufficient for the development of resistance to daptomycin during the treatment of vancomycin-resistant enterococci. (Funded by the National Institute of Allergy and Infectious Diseases and the National Institutes of Health.).

PMID:
21899450
[PubMed - indexed for MEDLINE]
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2. Nature. 2011 Aug 10;476(7359):152. doi: 10.1038/476152c.

Hel ping hand for genomics in Africa.

Hayes VM, Venter PA, Mphahlele MJ.
PMID:
21833071
[PubMed - indexed for MEDLINE]
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3. Nature. 2011 Aug 9;476(7359):136-7. doi: 10.1038/476136a.

Ancient DNA reveals secrets of human history.

Callaway E.
PMID:
21833062
[PubMed - indexed for MEDLINE]
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4. Nature. 2011 Jul 20;476(7359):170-5. doi: 10.1038/nature10336.

The landscape of recombination in African Americans.

Hinch AG, Tandon A, Patterson N, Song Y, Rohland N, Palmer CD, Chen GK, Wang K, Buxbaum SG, Akylbekova EL, Aldrich MC, Ambrosone CB, Amos C, Bandera EV, Berndt SI, Bernstein L, Blot WJ, Bock CH, Boerwinkle E, Cai Q, Caporaso N, Casey G, Cupples LA, Deming SL, Diver WR, Divers J, Fornage M, Gillanders EM, Glessner J, Harris CC, Hu JJ, Ingles SA, Isaacs W, John EM, Kao WH, Keating B, Kittles RA, Kolonel LN, Larkin E, Le Marchand L, McNeill LH, Millikan RC, Murphy A, Musani S, Neslund-Dudas C, Nyante S, Papanicolaou GJ, Press MF, Psaty BM, Reiner AP, Rich SS, Rodriguez-Gil JL, Rotter JI, Rybicki BA, Schwartz AG, Signorello LB, Spitz M, Strom SS, Thun MJ, Tucker MA, Wang Z, Wiencke JK, Witte JS, Wrensch M, Wu X, Yamamura Y, Zanetti KA, Zheng W, Ziegler RG, Zhu X, Redline S, Hirschhorn JN, Henderson BE, Taylor HA Jr, Price AL, Hakonarson H, Chanock SJ, Haiman CA, Wilson JG, Reich D, Myers SR.

Source

Wellcome Trust Centre for Human Genetics, Oxford University, Roosevelt Drive, Oxford OX3 7BN, UK.

Abstract

Recombination, together with mutation, gives rise to genetic variation in populations. Here we leverage the recent mixture of people of African and European ancestry in the Americas to build a genetic map measuring the probability of crossing over at each position in the genome, based on about 2.1 million crossovers in 30,000 unrelated African Americans. At intervals of more than three megabases it is nearly identical to a map built in Europeans. At finer scales it differs significantly, and we identify about 2,500 recombination hotspots that are active in people of West African ancestry but nearly inactive in Europeans. The probability of a crossover at these hotspots is almost fully controlled by the alleles an individual carries at PRDM9 (P value < 10(-245)). We identify a 17-base-pair DNA sequence motif that is enriched in these hotspots, and is an excellent match to the predicted binding target of PRDM9 alleles common in West Africans and rare in Europeans. Sites of this motif are predicted to be risk loci for disease-causing genomic rearrangements in individuals carrying these alleles. More generally, this map provides a resource for research in human genetic variation and evolution.

PMCID: PMC3154982
[Available on 2012/1/20]
PMID:
21775986
[PubMed - indexed for MEDLINE]
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Friday, 16 September 2011

What's new for 'JKB_daily1' in PubMed

This message contains My NCBI what's new results from the National Center for Biotechnology Information (NCBI) at the U.S. National Library of Medicine (NLM).
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Sender's message: Sepsis or genomics or altitude: JKB_daily1

Sent on Friday, 2011 Sep 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
Item 1 of 1

1. Nat Genet. 2011 Jun 19;43(7):630-8. doi: 10.1038/ng.857.

CTCF-mediated functional chromatin interactome in pluripotent cells.

Handoko L, Xu H, Li G, Ngan CY, Chew E, Schnapp M, Lee CW, Ye C, Ping JL, Mulawadi F, Wong E, Sheng J, Zhang Y, Poh T, Chan CS, Kunarso G, Shahab A, Bourque G, Cacheux-Rataboul V, Sung WK, Ruan Y, Wei CL.

Source

Genome Institute of Singapore, Singapore.

Abstract

Mammalian genomes are viewed as functional organizations that orchestrate spatial and temporal gene regulation. CTCF, the most characterized insulator-binding protein, has been implicated as a key genome organizer. However, little is known about CTCF-associated higher-order chromatin structures at a global scale. Here we applied chromatin interaction analysis by paired-end tag (ChIA-PET) sequencing to elucidate the CTCF-chromatin interactome in pluripotent cells. From this analysis, we identified 1,480 cis- and 336 trans-interacting loci with high reproducibility and precision. Associating these chromatin interaction loci with their underlying epigenetic states, promoter activities, enhancer binding and nuclear lamina occupancy, we uncovered five distinct chromatin domains that suggest potential new models of CTCF function in chromatin organization and transcriptional control. Specifically, CTCF interactions demarcate chromatin-nuclear membrane attachments and influence proper gene expression through extensive cross-talk between promoters and regulatory elements. This highly complex nuclear organization offers insights toward the unifying principles that govern genome plasticity and function.

PMID:
21685913
[PubMed - indexed for MEDLINE]
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Thursday, 15 September 2011

What's new for 'JKB_daily1' in PubMed

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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 - 2 of 2

1. Science. 2011 Sep 2;333(6047):1285-8.

Out of Tibet: Pliocene woolly rhino suggests high-plateau origin of Ice Age megaherbivores.

Deng T, Wang X, Fortelius M, Li Q, Wang Y, Tseng ZJ, Takeuchi GT, Saylor JE, Säilä LK, Xie G.

Source

Key Laboratory of Evolutionary Systematics of Vertebrates, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China.

Abstract

Ice Age megafauna have long been known to be associated with global cooling during the Pleistocene, and their adaptations to cold environments, such as large body size, long hair, and snow-sweeping structures, are best exemplified by the woolly mammoths and woolly rhinos. These traits were assumed to have evolved as a response to the ice sheet expansion. We report a new Pliocene mammal assemblage from a high-altitude basin in the western Himalayas, including a primitive woolly rhino. These new Tibetan fossils suggest that some megaherbivores first evolved in Tibet before the beginning of the Ice Age. The cold winters in high Tibet served as a habituation ground for the megaherbivores, which became preadapted for the Ice Age, successfully expanding to the Eurasian mammoth steppe.

PMID:
21885780
[PubMed - indexed for MEDLINE]
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2. Science. 2011 Sep 2;333(6047):1240-1.

A lab of their own.

Kean S.
PMID:
21885770
[PubMed - indexed for MEDLINE]
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Friday, 9 September 2011

What's new for 'JKB_daily1' in PubMed

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

Sent on Friday, 2011 Sep 09
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
Item 1 of 1

1. Nature. 2011 Aug 31;477(7362):54-60. doi: 10.1038/nature10354.

Human metabolic individuality in biomedical and pharmaceutical research.

Suhre K, Shin SY, Petersen AK, Mohney RP, Meredith D, Wägele B, Altmaier E; CARDIoGRAM, Deloukas P, Erdmann J, Grundberg E, Hammond CJ, de Angelis MH, Kastenmüller G, Köttgen A, Kronenberg F, Mangino M, Meisinger C, Meitinger T, Mewes HW, Milburn MV, Prehn C, Raffler J, Ried JS, Römisch-Margl W, Samani NJ, Small KS, Wichmann HE, Zhai G, Illig T, Spector TD, Adamski J, Soranzo N, Gieger C, Assimes TL, Deloukas P, Erdmann J, Holm H, Kathiresan S, König IR, McPherson R, Reilly MP, Roberts R, Samani NJ, Schunkert H, Stewart AF.

Collaborators: Kathiresan S, Reilly MP, Samani NJ, Schunkert H, Erdmann J, Assimes TL, Boerwinkle E, Erdmann J, Hall A, Hengstenberg C, Kathiresan S, König IR, Laaksonen R, McPherson R, Reilly MP, Samani NJ, Schunkert H, Thompson JR, Thorsteinsdottir U, Ziegler A, König IR, Thompson JR, Absher D, Chen L, Cupples LA, Halperin E, Li M, Musunuru K, Preuss M, Schillert A, Thorleifsson G, Voight BF, Wells GA, Absher D, Assimes TL, Fortmann S, Go A, Hlatky M, Iribarren C, Knowles J, Myers R, Quertermous T, Sidney S, Risch N, Tang H, Blankenberg S, Zeller T, Schillert A, Wild P, Ziegler A, Schnabel R, Sinning C, Lackner K, Tiret L, Nicaud V, Cambien F, Bickel C, Rupprecht HJ, Perret C, Proust C, Münzel T, Barbalic M, Bis J, Boerwinkle E, Chen IY, Cupples LA, Dehghan A, Demissie-Banjaw S, Folsom A, Glazer N, Gudnason V, Harris T, Heckbert S, Levy D, Lumley T, Marciante K, Morrison A, O'Donnell CJ, Psaty BM, Rice K, Rotter JI, Siscovick DS, Smith N, Smith A, Taylor KD, van Duijn C, Volcik K, Whitteman J, Ramachandran V, Hofman A, Uitterlinden A, Gretarsdottir S, Gulcher JR, Holm H, Kong A, Stefansson K, Thorgeirsson G, Andersen K, Thorleifsson G, Thorsteinsdottir U, Erdmann J, Fischer M, Grosshennig A, Hengstenberg C, König IR, Lieb W, Linsel-Nitschke P, Preuss M, Stark K, Schreiber S, Wichmann HE, Ziegler A, Schunkert H, Aherrahrou Z, Bruse P, Doering A, Erdmann J, Hengstenberg C, Illig T, Klopp N, König IR, Linsel-Nitschke P, Loley C, Medack A, Meisinger C, Meitinger T, Nahrstedt J, Peters A, Preuss M, Stark K, Wagner AK, Wichmann HE, Willenborg C, Ziegler A, Schunkert H, Böhm BO, Dobnig H, Grammer TB, Halperin E, Hoffmann MM, Kleber M, Laaksonen R, März W, Meinitzer A, Winkelmann BR, Pilz S, Renner W, Scharnagl H, Stojakovic T, Tomaschitz A, Winkler K, Voight BF, Musunuru K, Guiducci C, Burtt N, Gabriel SB, Siscovick DS, O'Donnell CJ, Elosua R, Peltonen L, Salomaa V, Schwartz SM, Melander O, Altshuler D, Kathiresan S, Stewart AF, Chen L, Dandona S, Wells GA, Jarinova O, McPherson R, Roberts R, Reilly MP, Li M, Qu L, Wilensky R, Matthai W, Hakonarson HH, Devaney J, Burnett MS, Pichard AD, Kent KM, Satler L, Lindsay JM, Waksman R, Knouff CW, Waterworth DM, Walker MC, Mooser V, Epstein SE, Rader DJ, Samani NJ, Thompson JR, Braund PS, Nelson CP, Wright BJ, Balmforth AJ, Ball SG, Hall AS.

Source

Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany. karsten@suhre.fr

Abstract

Genome-wide association studies (GWAS) have identified many risk loci for complex diseases, but effect sizes are typically small and information on the underlying biological processes is often lacking. Associations with metabolic traits as functional intermediates can overcome these problems and potentially inform individualized therapy. Here we report a comprehensive analysis of genotype-dependent metabolic phenotypes using a GWAS with non-targeted metabolomics. We identified 37 genetic loci associated with blood metabolite concentrations, of which 25 show effect sizes that are unusually high for GWAS and account for 10-60% differences in metabolite levels per allele copy. Our associations provide new functional insights for many disease-related associations that have been reported in previous studies, including those for cardiovascular and kidney disorders, type 2 diabetes, cancer, gout, venous thromboembolism and Crohn's disease. The study advances our knowledge of the genetic basis of metabolic individuality in humans and generates many new hypotheses for biomedical and pharmaceutical research.

PMID:
21886157
[PubMed - indexed for MEDLINE]
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Wednesday, 7 September 2011

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

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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
Item 1 of 1

1. Nature. 2011 Aug 3;476(7358):27-8. doi: 10.1038/476027a.

Growth of genome screening needs debate.

Goldstein DB.

Source

Center for Human Genome Variation, Duke University School of Medicine, Durham, North Carolina 27708, USA. d.goldstein@duke.edu

PMID:
21814258
[PubMed - indexed for MEDLINE]
Click here to read