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Hyeokmoon Kweon

Datos Biográficos

ID1753611
NOMBREHyeokmoon Kweon
NOMBRESHyeokmoon
APELLIDOKweon
FIRMAKWEON H
AFILIACIONESVrije Universiteit Amsterdam
ORCID0000-0002-3649-0457
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS3
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2022
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H1
  • Associations between common genetic variants and income provide insights about the socio-economic health gradient

    Open Access•Hyeokmoon Kweon, Casper A P Burik et al.•ARTICLE•Nature Human Behaviour•2025•Citada por: 2•Referencias: 54

    We conducted a genome-wide association study on income among individuals of European descent ( N = 668,288) to investigate the relationship between socio-economic status and health disparities. We identified 162 genomic loci associated with a common genetic factor underlying various income measures, all with small effect sizes (the Income Factor). Our polygenic index captures 1–5% of income variance, with only one fourth due to direct genetic eff…

  • Investigating the impact of poverty on mental illness in the UK Biobank using Mendelian randomization

    Open Access•M Marchi, Anne Alkema et al.•ARTICLE•Nature Human Behaviour•2024•Citada por: 1•Referencias: 92

    It is unclear whether poverty and mental illness are causally related. Using UK Biobank and Psychiatric Genomic Consortium data, we examined evidence of causal links between poverty and nine mental illnesses (attention deficit and hyperactivity disorder (ADHD), anorexia nervosa, anxiety disorder, autism spectrum disorder, bipolar disorder, major depressive disorder, obsessive-compulsive disorder, post-traumatic stress disorder and schizophrenia).…

  • Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

    Open Access•Aysu Okbay, Yeda Wu et al.•ARTICLE•Nature Genetics•2022

    We conduct a genome-wide association study (GWAS) of educational attainment (EA) in a sample of ~3 million individuals and identify 3,952 approximately uncorrelated genome-wide-significant single-nucleotide polymorphisms (SNPs). A genome-wide polygenic predictor, or polygenic index (PGI), explains 12–16% of EA variance and contributes to risk prediction for ten diseases. Direct effects (i.e., controlling for parental PGIs) explain roughly half th…

  • Associations between common genetic variants and income provide insights about the socio-economic health gradient

    Open Access•Hyeokmoon Kweon, Casper A P Burik et al.•ARTICLE•Nature Human Behaviour•2025•Citada por: 2•Referencias: 54

    We conducted a genome-wide association study on income among individuals of European descent ( N = 668,288) to investigate the relationship between socio-economic status and health disparities. We identified 162 genomic loci associated with a common genetic factor underlying various income measures, all with small effect sizes (the Income Factor). Our polygenic index captures 1–5% of income variance, with only one fourth due to direct genetic eff…

  • Investigating the impact of poverty on mental illness in the UK Biobank using Mendelian randomization

    Open Access•M Marchi, Anne Alkema et al.•ARTICLE•Nature Human Behaviour•2024•Citada por: 1•Referencias: 92

    It is unclear whether poverty and mental illness are causally related. Using UK Biobank and Psychiatric Genomic Consortium data, we examined evidence of causal links between poverty and nine mental illnesses (attention deficit and hyperactivity disorder (ADHD), anorexia nervosa, anxiety disorder, autism spectrum disorder, bipolar disorder, major depressive disorder, obsessive-compulsive disorder, post-traumatic stress disorder and schizophrenia).…

  • Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

    Open Access•Aysu Okbay, Yeda Wu et al.•ARTICLE•Nature Genetics•2022

    We conduct a genome-wide association study (GWAS) of educational attainment (EA) in a sample of ~3 million individuals and identify 3,952 approximately uncorrelated genome-wide-significant single-nucleotide polymorphisms (SNPs). A genome-wide polygenic predictor, or polygenic index (PGI), explains 12–16% of EA variance and contributes to risk prediction for ten diseases. Direct effects (i.e., controlling for parental PGIs) explain roughly half th…

  • Investigating the impact of poverty on mental illness in the UK Biobank using Mendelian randomization

    Open Access•M Marchi, Anne Alkema et al.•ARTICLE•Nature Human Behaviour•2024•Citada por: 1•Referencias: 92

    It is unclear whether poverty and mental illness are causally related. Using UK Biobank and Psychiatric Genomic Consortium data, we examined evidence of causal links between poverty and nine mental illnesses (attention deficit and hyperactivity disorder (ADHD), anorexia nervosa, anxiety disorder, autism spectrum disorder, bipolar disorder, major depressive disorder, obsessive-compulsive disorder, post-traumatic stress disorder and schizophrenia).…

  • Associations between common genetic variants and income provide insights about the socio-economic health gradient

    Open Access•Hyeokmoon Kweon, Casper A P Burik et al.•ARTICLE•Nature Human Behaviour•2025•Citada por: 2•Referencias: 54

    We conducted a genome-wide association study on income among individuals of European descent ( N = 668,288) to investigate the relationship between socio-economic status and health disparities. We identified 162 genomic loci associated with a common genetic factor underlying various income measures, all with small effect sizes (the Income Factor). Our polygenic index captures 1–5% of income variance, with only one fourth due to direct genetic eff…

Biology (3 obras) · Genetic Associations and Epidemiology (3 obras) · Birth, Development, and Health (2 obras) · Liver Disease Diagnosis and Treatment (2 obras) · Biobank (1 obras) · Gene (1 obras) · Genetic association (1 obras) · Genetics (1 obras) · Genetics (1 obras) · Genome (1 obras)

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