Geographic variation and bias in polygenic scores of complex diseases and traits in Finland
Open accessPreprint — published as 10.1016/j.ajhg.2019.05.001
Abstract
Polygenic scores (PS) are becoming a useful tool to identify individuals with high genetic risk for complex diseases and several projects are currently testing their utility for translational applications. It is also tempting to use PS to assess whether genetic variation can explain a part of the geographic distribution of a phenotype. However, it is not well known how population genetic properties of the training and target samples affect the geographic distribution of PS. Here, we evaluate geographic differences, and related biases, of PS in Finland with geographically well-defined sample of 2,376 individuals from the National FINRISK study. First, we detect geographic differences in PS for coronary artery disease (CAD), rheumatoid arthritis, schizophrenia, waits-hip ratio (WHR), body-mass index (BMI) and height, but not for Crohn’s disease or ulcerative colitis. Second, we use height as a model trait to thoroughly assess the possible population genetic biases in PS and apply similar approaches to the other phenotypes. Most importantly, we detect suspiciously large accumulation of geographic differences for CAD, WHR, BMI and height, suggesting bias arising from population genetic structure rather than from a direct genotype-phenotype association. This work demonstrates how sensitive the geographic patterns of current PS are for small biases even within relatively homogenous populations and provides simple tools to identify such biases. A thorough understanding of the effects of population genetic structure on PS is essential for translational applications of PS.
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Residual stratification can lead to over-predicted differences across geographical space.
“This residual stratification can lead to over-predicted differences across geographical space45.”
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Current clinical use of polygenic scores will risk exacerbating health disparities
Martin, A. R., Kanai, M., Kamatani, Y., Okada, Y., Neale, B. M., & Daly, M. J. (2018) · doi:10.1101/441261 · Cited by 2,813 · see citing works
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Clinical use of current polygenic risk scores may exacerbate health disparities
Martin, A. R., Kanai, M., Kamatani, Y., Okada, Y., Neale, B. M., & Daly, M. J. (2019) · Nature Genetics · doi:10.1038/s41588-019-0379-x · Cited by 2,831 · see citing works
Self-citationResponsible use of polygenic risk scores in the clinic: potential benefits, risks and gaps
Polygenic Risk Score Task Force of the International Common Disease Alliance, Adeyemo, A., Balaconis, M. K., Darnes, D. R., Fatumo, S., Granados Moreno, P., Hodonsky, C. J., Inouye, M., Kanai, M., Kato, K., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01549-6 · Cited by 413 · see citing works
Self-citationCurrent clinical use of polygenic scores will risk exacerbating health disparities
Martin, A. R., Kanai, M., Kamatani, Y., Okada, Y., Neale, B. M., & Daly, M. J. (2018) · doi:10.1101/441261 · Cited by 2,813 · see citing works
Self-citation
- Authors
- Kerminen, S., Martin, A. R., Koskela, J., Ruotsalainen, S. E., Havulinna, A. S., Surakka, I., Palotie, A., Perola, M., Salomaa, V., Daly, M. J., Ripatti, S., & Pirinen, M.
- Affiliations
- University of Helsinki (FI)
- Broad Institute (US)
- Finnish Institute for Health and Welfare (FI)
- Corresponding author
- Pirinen, Matti
- ORCID
- Venue
- The American Journal of Human Genetics
- Publisher
- openRxiv
- Published
- 2018-12-04
- Volume
- 104
- Issue
- 6
- Pages
- 1169-1181
- ISSN
- 0002-9297 (ISSN-L)
- PMC
- PMC6562021
- OpenAlex
- W2950577582
- Cited by
- 115
- References
- 1
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 16 · 2023: 10 · 2022: 18 · 2021: 25 · 2020: 21 · 2019: 11 · 2017: 1
- FWCI
- 11.30
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The American Journal of Human Genetics (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Työväentutkimus Vuosikirja (submittedVersion, other-oa)
- Funders
- Foundation for Cardiovascular Research
- Helsingin Yliopisto
- Academy of Finland (129680, 288509, 294050, 213506 and 129680, #213506, 139635, 285380, 251217)
- Novo Nordisk
- Sydäntutkimussäätiö
- Sigrid Juséliuksen Säätiö
- Terveyden ja hyvinvoinnin laitos
- National Institutes of Health
- National Institute of Mental Health (K99MH117229)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Keywords
- polygenic risk score, regional variation, population structure, complex diseases, coronary artery disease, rheumatoid arthritis, schizophrenia, Crohn's disease, ulcerative colitis, waist-to-hip ratio, body mass index, height, FINRISK Study, Finnish population
- MeSH terms
- Adult, Aged, Arthritis, Rheumatoid, Colitis, Ulcerative, Coronary Artery Disease, Crohn Disease, Female, Finland, Genetic Markers, Genetics, Population, Geography, Humans, Male, Middle Aged, Risk Factors, Schizophrenia, Body Mass Index, Quantitative Trait, Heritable, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Waist-Hip Ratio, Genetic Association Studies
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