The impact of polygenic score and socioeconomic status in predicting risk for 19 complex diseases Article Swipe
Fiona A. Hagenbeek
,
Anne Richmond
,
Max Tamlander
,
Kira E. Detrois
,
Zhiyu Yang
,
Tuomo Hartonen
,
Daniel L. McCartney
,
Riccardo E. Marioni
,
Pekka Martikainen
,
Nina Mars
,
Andrea Ganna
,
Samuli Ripatti
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1101/2025.09.02.25334913
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1101/2025.09.02.25334913
Both socioeconomic circumstances and genetic predisposition shape disease risk, yet their joint contribution across diseases has not been systematically examined. We studied 19 high-burden diseases in 743,194 participants (729,928 European; 13,266 non-European ancestry) from FinnGen, the UK Biobank, and Generation Scotland. Higher educational attainment was associated with lower risk of most conditions, but with higher risk of most common cancers. These associations were largely independent of disease-specific polygenic scores (PGSs). For seven out of 19 diseases, PGSs showed stronger effects among individuals with high education. Joint inclusion of education and PGSs modestly improved prediction for 14 and 10 out of 19 diseases in FinnGen and the UK Biobank, respectively. PGS associations were consistent across ancestries, whereas education effects were less stable; results using an alternative socioeconomic measure were directionally similar but smaller. Our findings highlight the distinct and partly interacting contributions of socioeconomic and genetic factors to disease risk.
Related Topics
Concepts
Polygenic risk score
Socioeconomic status
Demography
Medicine
Psychology
Environmental health
Biology
Genetics
Sociology
Single-nucleotide polymorphism
Genotype
Gene
Population
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2025.09.02.25334913
- https://www.medrxiv.org/content/medrxiv/early/2025/09/04/2025.09.02.25334913.full.pdf
- OA Status
- green
- References
- 66
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4413974243
All OpenAlex metadata
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https://openalex.org/W4413974243Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2025.09.02.25334913Digital Object Identifier
- Title
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The impact of polygenic score and socioeconomic status in predicting risk for 19 complex diseasesWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-09-04Full publication date if available
- Authors
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Fiona A. Hagenbeek, Anne Richmond, Max Tamlander, Kira E. Detrois, Zhiyu Yang, Tuomo Hartonen, Daniel L. McCartney, Riccardo E. Marioni, Pekka Martikainen, Nina Mars, Andrea Ganna, Samuli RipattiList of authors in order
- Landing page
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https://doi.org/10.1101/2025.09.02.25334913Publisher landing page
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https://www.medrxiv.org/content/medrxiv/early/2025/09/04/2025.09.02.25334913.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.medrxiv.org/content/medrxiv/early/2025/09/04/2025.09.02.25334913.full.pdfDirect OA link when available
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Polygenic risk score, Socioeconomic status, Demography, Medicine, Psychology, Environmental health, Biology, Genetics, Sociology, Single-nucleotide polymorphism, Genotype, Gene, PopulationTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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66Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| institutions_distinct_count | 12 |
| corresponding_institution_ids | https://openalex.org/I107606265, https://openalex.org/I133731052, https://openalex.org/I4210087915, https://openalex.org/I4210133586 |
| citation_normalized_percentile.value | 0.4144609 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |