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Hyeokmoon Kweon

Biographic Data

ID1753611
NAMEHyeokmoon Kweon
GIVEN NAMESHyeokmoon
FAMILY NAMEKweon
SIGNATUREKWEON H
AFFILIATIONSVrije Universiteit Amsterdam
ORCID0000-0002-3649-0457
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS3
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX1
  • 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•Cited by: 2•References: 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•Cited by: 1•References: 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•Cited by: 2•References: 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•Cited by: 1•References: 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•Cited by: 1•References: 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•Cited by: 2•References: 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 works) · Genetic Associations and Epidemiology (3 works) · Birth, Development, and Health (2 works) · Liver Disease Diagnosis and Treatment (2 works) · Biobank (1 works) · Gene (1 works) · Genetic association (1 works) · Genetics (1 works) · Genetics (1 works) · Genome (1 works)

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