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  • Humans  (2)
  • ASTROPHYSICS
  • Astrophysics
  • Polymer and Materials Science
  • 2005-2009  (3)
  • 1995-1999
  • 2007  (3)
  • 1
    Publication Date: 2007-10-27
    Description: The melanocortin 1 receptor (MC1R) regulates pigmentation in humans and other vertebrates. Variants of MC1R with reduced function are associated with pale skin color and red hair in humans of primarily European origin. We amplified and sequenced a fragment of the MC1R gene (mc1r) from two Neanderthal remains. Both specimens have a mutation that was not found in approximately 3700 modern humans analyzed. Functional analyses show that this variant reduces MC1R activity to a level that alters hair and/or skin pigmentation in humans. The impaired activity of this variant suggests that Neanderthals varied in pigmentation levels, potentially on the scale observed in modern humans. Our data suggest that inactive MC1R variants evolved independently in both modern humans and Neanderthals.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lalueza-Fox, Carles -- Rompler, Holger -- Caramelli, David -- Staubert, Claudia -- Catalano, Giulio -- Hughes, David -- Rohland, Nadin -- Pilli, Elena -- Longo, Laura -- Condemi, Silvana -- de la Rasilla, Marco -- Fortea, Javier -- Rosas, Antonio -- Stoneking, Mark -- Schoneberg, Torsten -- Bertranpetit, Jaume -- Hofreiter, Michael -- New York, N.Y. -- Science. 2007 Nov 30;318(5855):1453-5. Epub 2007 Oct 25.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Departament de Biologia Animal, Universitat de Barcelona, Spain. clalueza@ub.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17962522" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Amino Acid Substitution ; Animals ; Biological Evolution ; Cell Line ; DNA/genetics ; *Fossils ; Hair Color/*genetics ; Hominidae/*genetics ; Humans ; Molecular Sequence Data ; *Mutation ; Polymerase Chain Reaction ; Receptor, Melanocortin, Type 1/chemistry/*genetics/metabolism ; Sequence Analysis, DNA ; Skin Pigmentation/*genetics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2007-04-28
    Description: New strategies for prevention and treatment of type 2 diabetes (T2D) require improved insight into disease etiology. We analyzed 386,731 common single-nucleotide polymorphisms (SNPs) in 1464 patients with T2D and 1467 matched controls, each characterized for measures of glucose metabolism, lipids, obesity, and blood pressure. With collaborators (FUSION and WTCCC/UKT2D), we identified and confirmed three loci associated with T2D-in a noncoding region near CDKN2A and CDKN2B, in an intron of IGF2BP2, and an intron of CDKAL1-and replicated associations near HHEX and in SLC30A8 found by a recent whole-genome association study. We identified and confirmed association of a SNP in an intron of glucokinase regulatory protein (GCKR) with serum triglycerides. The discovery of associated variants in unsuspected genes and outside coding regions illustrates the ability of genome-wide association studies to provide potentially important clues to the pathogenesis of common diseases.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Diabetes Genetics Initiative of Broad Institute of Harvard and MIT, Lund University, and Novartis Institutes of BioMedical Research -- Saxena, Richa -- Voight, Benjamin F -- Lyssenko, Valeriya -- Burtt, Noel P -- de Bakker, Paul I W -- Chen, Hong -- Roix, Jeffrey J -- Kathiresan, Sekar -- Hirschhorn, Joel N -- Daly, Mark J -- Hughes, Thomas E -- Groop, Leif -- Altshuler, David -- Almgren, Peter -- Florez, Jose C -- Meyer, Joanne -- Ardlie, Kristin -- Bengtsson Bostrom, Kristina -- Isomaa, Bo -- Lettre, Guillaume -- Lindblad, Ulf -- Lyon, Helen N -- Melander, Olle -- Newton-Cheh, Christopher -- Nilsson, Peter -- Orho-Melander, Marju -- Rastam, Lennart -- Speliotes, Elizabeth K -- Taskinen, Marja-Riitta -- Tuomi, Tiinamaija -- Guiducci, Candace -- Berglund, Anna -- Carlson, Joyce -- Gianniny, Lauren -- Hackett, Rachel -- Hall, Liselotte -- Holmkvist, Johan -- Laurila, Esa -- Sjogren, Marketa -- Sterner, Maria -- Surti, Aarti -- Svensson, Margareta -- Svensson, Malin -- Tewhey, Ryan -- Blumenstiel, Brendan -- Parkin, Melissa -- Defelice, Matthew -- Barry, Rachel -- Brodeur, Wendy -- Camarata, Jody -- Chia, Nancy -- Fava, Mary -- Gibbons, John -- Handsaker, Bob -- Healy, Claire -- Nguyen, Kieu -- Gates, Casey -- Sougnez, Carrie -- Gage, Diane -- Nizzari, Marcia -- Gabriel, Stacey B -- Chirn, Gung-Wei -- Ma, Qicheng -- Parikh, Hemang -- Richardson, Delwood -- Ricke, Darrell -- Purcell, Shaun -- F32 DK079466/DK/NIDDK NIH HHS/ -- F32 DK079466-01/DK/NIDDK NIH HHS/ -- K23 DK067288/DK/NIDDK NIH HHS/ -- K23 DK080145/DK/NIDDK NIH HHS/ -- K23 DK080145-01/DK/NIDDK NIH HHS/ -- K23 DK65978-04/DK/NIDDK NIH HHS/ -- K23-HL083102/HL/NHLBI NIH HHS/ -- U01 HG004171/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2007 Jun 1;316(5829):1331-6. Epub 2007 Apr 26.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, MA 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17463246" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptor Proteins, Signal Transducing/genetics ; Aged ; Alleles ; Blood Glucose/analysis ; Case-Control Studies ; Chromosome Mapping ; Chromosomes, Human, Pair 9/genetics ; Diabetes Mellitus, Type 2/*genetics ; Female ; Genetic Markers ; *Genetic Predisposition to Disease ; *Genome, Human ; Genotype ; Haplotypes ; Humans ; Insulin Resistance/genetics ; Insulin-Like Growth Factor Binding Proteins/genetics ; Introns ; Male ; Meta-Analysis as Topic ; Middle Aged ; *Polymorphism, Single Nucleotide ; Quantitative Trait, Heritable ; Triglycerides/*blood
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2019-07-13
    Description: The most useful characterization of a gravitational wave detector's performance is the accuracy with which astrophysical parameters of potential gravitational wave sources can be estimated. One of the most important source types for the Laser Interferometer Space Antenna (LISA) is inspiraling binaries of black holes. LISA can measure mass and spin to better than 1% for a wide range of masses, even out to high redshifts. The most difficult parameter to estimate accurately is almost always luminosity distance. Nonetheless, LISA can measure luminosity distance of intermediate-mass black hole binary systems (total mass approx.10(exp 4) solar mass) out to z approx.10 with distance accuracies approaching 25% in many cases. With this performance, LISA will be able to follow the merger history of black holes from the earliest mergers of proto-galaxies to the present. LISA's performance as a function of mass from 1 to 10(exp 7) solar mass and of redshift out to z approx. 30 will be described. The re-formulation of LISA's science requirements based on an instrument sensitivity model and parameter estimation will be described.
    Keywords: Astrophysics
    Type: 7th Edoardo Amaldi Conference on Gravitational Waves; Jul 08, 2007 - Jul 14, 2007; Sydney; Australia
    Format: application/pdf
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