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Nancy Wang

Biographic Data

ID5082287
NAMENancy Wang
GIVEN NAMESNancy
FAMILY NAMEWang
SIGNATUREWANG N
AFFILIATIONSNational Bureau of Economic Research
ORCID0000-0001-7623-1858
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2022
H-INDEX0
  • 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…

  • Understanding the bigger picture

    Open Access•Nicole Naadu Ofosu, Thea Luig et al.•ARTICLE•BMC Public Health•2022

    The syndemic effects of the socio-cultural context of migrants creates an additional burden for managing the complexities of diabetes and obesity that can result in inadequate healthcare and worsened health outcomes. Consequently, care for people with diabetes and/or obesity from vulnerable immigrant and refugee situations should include a holistic approach where there is an awareness of and consideration for their context

No prominent works on this page.

  • 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…

  • Understanding the bigger picture

    Open Access•Nicole Naadu Ofosu, Thea Luig et al.•ARTICLE•BMC Public Health•2022

    The syndemic effects of the socio-cultural context of migrants creates an additional burden for managing the complexities of diabetes and obesity that can result in inadequate healthcare and worsened health outcomes. Consequently, care for people with diabetes and/or obesity from vulnerable immigrant and refugee situations should include a holistic approach where there is an awareness of and consideration for their context

Biology (1 work) · Birth, Development, and Health (1 work) · Context (archaeology (1 work) · Diabetes Management and Education (1 work) · Economic growth (1 work) · Environmental health (1 work) · Food Security and Health in Diverse Populations (1 work) · Gene (1 work) · Genetic association (1 work) · Genetic Associations and Epidemiology (1 work)

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