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Showing 1–11 of 11 results
Advanced filters: Author: Dan-Yu Lin Clear advanced filters

  • Erik Ingelsson and colleagues report a large-scale genome-wide meta-analysis for associations to the extremes of anthropometric traits, including body mass index, height, waist-to-hip ratio and clinical obesity. They identify four loci newly associated with height and seven loci newly associated with clinical obesity and find overlap in the genetic structure and distribution of variants identified for these extremes of the trait distributions and for the general population.

    • Sonja I Berndt
    • Stefan Gustafsson
    • Erik Ingelsson
    Research
    Nature Genetics
    Volume: 45, P: 501-512

  • The CARseq method allows users to assess cell type-specific differential expression using RNA-seq data from bulk tissue samples, which opens up several opportunities for re-analyzing existing RNA-seq data and designing new studies.

    • Chong Jin
    • Mengjie Chen
    • Wei Sun
    Research
    Nature Computational Science
    Volume: 1, P: 253-261

  • Genetic analyses of ancestrally diverse populations show evidence of heterogeneity across ancestries and provide insights into clinical implications, highlighting the importance of including ancestrally diverse populations to maximize genetic discovery and reduce health disparities.

    • Genevieve L. Wojcik
    • Mariaelisa Graff
    • Christopher S. Carlson
    Research
    Nature
    Volume: 570, P: 514-518

  • 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

  • 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

  • The Schizophrenia Psychiatric Genome-Wide Association Study Consortium reports five genetic loci newly associated with risk of schizophrenia, involving 17,836 cases of schizophrenia and 33,859 healthy controls. The new locus with the strongest support of association was located within an intron for microRNA 137, a known regulator of neuronal development. Four other genome-wide significant loci for schizophrenia contain predicted targets of MIR137, suggesting that disruption to pathways involving MIR137 may be an etiologic mechanism in schizophrenia.

    • Stephan Ripke
    • Alan R Sanders
    • Pablo V Gejman
    Research
    Nature Genetics
    Volume: 43, P: 969-976

  • 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