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Mark J Daly

Datos Biográficos

ID10709693
NOMBREMark J Daly
NOMBRESMark J
APELLIDODaly
FIRMADALY M J
AFILIACIONESBroad Institute
ORCID0000-0002-0949-8752
VERIFICADONo
TOTAL DE OBRAS12
TOTAL DE CITAS1
TOTAL COMO AUTOR12
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2003
AÑO MÁS RECIENTE DE PUBLICACIÓN2023
ÍNDICE H1
  • Nationwide health, socio-economic and genetic predictors of Covid-19 vaccination status in Finland

    Open Access•Tuomo Hartonen, Bradley Jermy et al.•ARTICLE•Nature Human Behaviour•2023•Citada por: 1•Referencias: 44

    Understanding factors associated with COVID-19 vaccination can highlight issues in public health systems. Using machine learning, we considered the effects of 2,890 health, socio-economic and demographic factors in the entire Finnish population aged 30–80 and genome-wide information from 273,765 individuals. The strongest predictors of vaccination status were labour income and medication purchase history. Mental health conditions and having unvac…

  • Mapping genomic loci implicates genes and synaptic biology in schizophrenia

    Open Access•Vassily Trubetskoy, Antonio F Pardiñas et al.•ARTICLE•Nature•2022

  • Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder

    Open Access•Ditte Demontis, 23andMe Research Team et al.•ARTICLE•Nature Genetics•2019

    Attention deficit/hyperactivity disorder (ADHD) is a highly heritable childhood behavioral disorder affecting 5% of children and 2.5% of adults. Common genetic variants contribute substantially to ADHD susceptibility, but no variants have been robustly associated with ADHD. We report a genome-wide association meta-analysis of 20,183 individuals diagnosed with ADHD and 35,191 controls that identifies variants surpassing genome-wide significance in…

  • Identification of common genetic risk variants for autism spectrum disorder

    Open Access•John Grove, BUPGEN BUPGEN et al.•ARTICLE•Nature Genetics•2019

  • Clinical use of current polygenic risk scores may exacerbate health disparities

    Open Access•Alicia R Martin, Miguel Kanai et al.•ARTICLE•Nature Genetics•2019

  • Human Demographic History Impacts Genetic Risk Prediction across Diverse Populations

    Open Access•Alicia R Martin, Christopher R Gignoux et al.•ARTICLE•The American Journal of Human…•2017

  • A global reference for human genetic variation

    Open Access•Corresponding authors, Adam Auton et al.•ARTICLE•Nature•2015

    The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized…

  • An atlas of genetic correlations across human diseases and traits

    Open Access•ReproGen Consortium, Brendan Bulik‐Sullivan et al.•ARTICLE•Nature Genetics•2015

  • LD Score regression distinguishes confounding from polygenicity in genome-wide association studies

    Open Access•Brendan Bulik‐Sullivan, Brendan K Bulik-Sullivan et al.•ARTICLE•Nature Genetics•2015

  • The Genome Analysis Toolkit

    Aaron McKenna, Matthew G Hanna et al.•ARTICLE•Genome Research•2010

    Next-generation DNA sequencing (NGS) projects, such as the 1000 Genomes Project, are already revolutionizing our understanding of genetic variation among individuals. However, the massive data sets generated by NGS—the 1000 Genome pilot alone includes nearly five terabases—make writing feature-rich, efficient, and robust analysis tools difficult for even computationally sophisticated individuals. Indeed, many professionals are limited in the scop…

  • Plink

    Open Access•Shaun M Purcell, Shaun Purcell et al.•ARTICLE•The American Journal of Human…•2007

  • The International HapMap Project

    Open Access•Richard A Gibbs, John W Belmont et al.•ARTICLE•Nature•2003

    The goal of the International HapMap Project is to determine the common patterns of DNA sequence variation in the human genome and to make this information freely available in the public domain. An international consortium is developing a map of these patterns across the genome by determining the genotypes of one million or more sequence variants, their frequencies and the degree of association between them, in DNA samples from populations with a…

  • Nationwide health, socio-economic and genetic predictors of Covid-19 vaccination status in Finland

    Open Access•Tuomo Hartonen, Bradley Jermy et al.•ARTICLE•Nature Human Behaviour•2023•Citada por: 1•Referencias: 44

    Understanding factors associated with COVID-19 vaccination can highlight issues in public health systems. Using machine learning, we considered the effects of 2,890 health, socio-economic and demographic factors in the entire Finnish population aged 30–80 and genome-wide information from 273,765 individuals. The strongest predictors of vaccination status were labour income and medication purchase history. Mental health conditions and having unvac…

  • The International HapMap Project

    Open Access•Richard A Gibbs, John W Belmont et al.•ARTICLE•Nature•2003

    The goal of the International HapMap Project is to determine the common patterns of DNA sequence variation in the human genome and to make this information freely available in the public domain. An international consortium is developing a map of these patterns across the genome by determining the genotypes of one million or more sequence variants, their frequencies and the degree of association between them, in DNA samples from populations with a…

  • Plink

    Open Access•Shaun M Purcell, Shaun Purcell et al.•ARTICLE•The American Journal of Human…•2007

  • The Genome Analysis Toolkit

    Aaron McKenna, Matthew G Hanna et al.•ARTICLE•Genome Research•2010

    Next-generation DNA sequencing (NGS) projects, such as the 1000 Genomes Project, are already revolutionizing our understanding of genetic variation among individuals. However, the massive data sets generated by NGS—the 1000 Genome pilot alone includes nearly five terabases—make writing feature-rich, efficient, and robust analysis tools difficult for even computationally sophisticated individuals. Indeed, many professionals are limited in the scop…

  • A global reference for human genetic variation

    Open Access•Corresponding authors, Adam Auton et al.•ARTICLE•Nature•2015

    The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized…

  • An atlas of genetic correlations across human diseases and traits

    Open Access•ReproGen Consortium, Brendan Bulik‐Sullivan et al.•ARTICLE•Nature Genetics•2015

  • LD Score regression distinguishes confounding from polygenicity in genome-wide association studies

    Open Access•Brendan Bulik‐Sullivan, Brendan K Bulik-Sullivan et al.•ARTICLE•Nature Genetics•2015

  • Human Demographic History Impacts Genetic Risk Prediction across Diverse Populations

    Open Access•Alicia R Martin, Christopher R Gignoux et al.•ARTICLE•The American Journal of Human…•2017

  • Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder

    Open Access•Ditte Demontis, 23andMe Research Team et al.•ARTICLE•Nature Genetics•2019

    Attention deficit/hyperactivity disorder (ADHD) is a highly heritable childhood behavioral disorder affecting 5% of children and 2.5% of adults. Common genetic variants contribute substantially to ADHD susceptibility, but no variants have been robustly associated with ADHD. We report a genome-wide association meta-analysis of 20,183 individuals diagnosed with ADHD and 35,191 controls that identifies variants surpassing genome-wide significance in…

  • Identification of common genetic risk variants for autism spectrum disorder

    Open Access•John Grove, BUPGEN BUPGEN et al.•ARTICLE•Nature Genetics•2019

  • Clinical use of current polygenic risk scores may exacerbate health disparities

    Open Access•Alicia R Martin, Miguel Kanai et al.•ARTICLE•Nature Genetics•2019

  • Mapping genomic loci implicates genes and synaptic biology in schizophrenia

    Open Access•Vassily Trubetskoy, Antonio F Pardiñas et al.•ARTICLE•Nature•2022

  • Nationwide health, socio-economic and genetic predictors of Covid-19 vaccination status in Finland

    Open Access•Tuomo Hartonen, Bradley Jermy et al.•ARTICLE•Nature Human Behaviour•2023•Citada por: 1•Referencias: 44

    Understanding factors associated with COVID-19 vaccination can highlight issues in public health systems. Using machine learning, we considered the effects of 2,890 health, socio-economic and demographic factors in the entire Finnish population aged 30–80 and genome-wide information from 273,765 individuals. The strongest predictors of vaccination status were labour income and medication purchase history. Mental health conditions and having unvac…

Biology (11 obras) · Genetics (11 obras) · Genetic Associations and Epidemiology (10 obras) · Single-nucleotide polymorphism (9 obras) · Genome-wide association study (8 obras) · Computational biology (7 obras) · Gene (7 obras) · Genotype (7 obras) · Genome (6 obras) · Genetic association (5 obras)

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