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Showing 1–17 of 17 results
Advanced filters: Author: Jana Marie Schwarz Clear advanced filters

  • The CMS Collaboration reports the measurement of the spin, parity, and charge conjugation properties of all-charm tetraquarks, exotic fleeting particles formed in proton–proton collisions at the Large Hadron Collider.

    • A. Hayrapetyan
    • V. Makarenko
    • A. Snigirev
    ResearchOpen Access
    Nature
    Volume: 648, P: 58-63

  • A trans-ancestry meta-analysis of GWAS of glycemic traits in up to 281,416 individuals identifies 99 novel loci, of which one quarter was found due to the multi-ancestry approach, which also improves fine-mapping of credible variant sets.

    • Ji Chen
    • Cassandra N. Spracklen
    • Cornelia van Duijn
    Research
    Nature Genetics
    Volume: 53, P: 840-860

  • Past genome-wide associate studies have identified hundreds of genetic loci that influence body size and shape when examined one trait at a time. Here, Jeff and colleagues develop an aggregate score of various body traits, and use meta-analysis to find new loci linked to body shape.

    • Janina S. Ried
    • Janina Jeff M.
    • Ruth J. F. Loos
    ResearchOpen Access
    Nature Communications
    Volume: 7, P: 1-11

  • The quark structure of the f0(980) hadron is still unknown after 50 years of its discovery. Here, the CMS Collaboration reports a measurement of the elliptic flow of the f0(980) state in proton-lead collisions at a nucleon-nucleon centre-of-mass energy of 8.16 TeV, providing strong evidence that the state is an ordinary meson.

    • A. Hayrapetyan
    • A. Tumasyan
    • A. Zhokin
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-19

  • Genome-wide association meta-analyses of waist-to-hip ratio adjusted for body mass index in more than 224,000 individuals identify 49 loci, 33 of which are new and many showing significant sexual dimorphism with a stronger effect in women; pathway analyses implicate adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution.

    • Dmitry Shungin
    • Thomas W. Winkler
    • Karen L Mohlke
    Research
    Nature
    Volume: 518, P: 187-196

  • Timothy Frayling, Joel Hirschhorn, Peter Visscher and colleagues report a meta-analysis of genome-wide association studies for adult height in 253,288 individuals. They identify 697 variants in 423 loci significantly associated with adult height and find that these variants cluster in pathways involved in growth and together explain one-fifth of the heritability for this trait.

    • Andrew R Wood
    • Tonu Esko
    • Timothy M Frayling
    Research
    Nature Genetics
    Volume: 46, P: 1173-1186

  • A genome-wide association study and Metabochip meta-analysis of body mass index (BMI) detects 97 BMI-associated loci, of which 56 were novel, and many loci have effects on other metabolic phenotypes; pathway analyses implicate the central nervous system in obesity susceptibility and new pathways such as those related to synaptic function, energy metabolism, lipid biology and adipogenesis.

    • Adam E. Locke
    • Bratati Kahali
    • Elizabeth K. Speliotes
    Research
    Nature
    Volume: 518, P: 197-206

  • The authors defined a roadmap for investigating the genetic covariance between structural or functional brain phenotypes and risk for psychiatric disorders. Their proof-of-concept study using the largest available common variant data sets for schizophrenia and volumes of several (mainly subcortical) brain structures did not find evidence of genetic overlap.

    • Barbara Franke
    • Jason L Stein
    • Patrick F Sullivan
    Research
    Nature Neuroscience
    Volume: 19, P: 420-431

  • Using whole-genome data for single-nucleotide polymorphism and results from genome-wide association studies, the authors show that people’s preference for pairing with those with similar phenotypic traits has genetic causes and consequences.

    • Matthew R. Robinson
    • Aaron Kleinman
    • Peter M. Visscher
    Research
    Nature Human Behaviour
    Volume: 1, P: 1-13

  • Better analytical methods are needed to extract biological meaning from genome-wide association studies (GWAS) of psychiatric disorders. Here the authors take GWAS data from over 60,000 subjects, including patients with schizophrenia, bipolar disorder and major depression, and identify common etiological pathways shared amongst them.

    • Colm O'Dushlaine
    • Lizzy Rossin
    • Gerome Breen
    Research
    Nature Neuroscience
    Volume: 18, P: 199-209

  • Naomi Wray and colleagues report an analysis of genome-wide association data sets from the Psychiatric Genomics Consortium for five psychiatric disorders. They find that common variation explains 17–29% of the variance in liability and provide further support for a shared genetic etiology for these related psychiatric disorders.

    • S Hong Lee
    • Stephan Ripke
    • Naomi R Wray
    Research
    Nature Genetics
    Volume: 45, P: 984-994

  • Simone de Jong et al. examine the balance of common and rare risk for psychiatric disorders in a large family with high incidence of Bipolar Disorder and Major Depressive Disorder. They find that increased polygenic risk over generations could be partially due to assortative mating, which may explain the observation of anticipation in mood disorders.

    • Simone de Jong
    • Mateus Jose Abdalla Diniz
    • Gerome Breen
    ResearchOpen Access
    Communications Biology
    Volume: 1, P: 1-10