Pervasive biases in proxy genome-wide association studies based on parental history of Alzheimer’s disease
Open accessAbstract
Almost every recent Alzheimer's disease (AD) genome-wide association study (GWAS) has performed meta-analysis to combine studies with clinical diagnosis of AD with studies that use proxy phenotypes based on parental disease history. Here, we report major limitations in current GWAS-by-proxy (GWAX) practices due to uncorrected survival bias and nonrandom participation in parental illness surveys, which cause substantial discrepancies between AD GWAS and GWAX results. We demonstrate that the current AD GWAX provide highly misleading genetic correlations between AD risk and higher education, which subsequently affects a variety of genetic epidemiological applications involving AD and cognition. Our study sheds light on potential issues in the design and analysis of middle-aged biobank cohorts and underscores the need for caution when interpreting genetic association results based on proxy-reported parental disease history.
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This is in accordance with previous reports of biases observed with genome-wide summary statistics of studies including proxy cases.
“This is in accordance with previous reports of biases observed with genome-wide summary statistics of studies including proxy cases14–16.”
From Consensus meta-analysis of genome-wide association studies for Alzheimer’s disease and related dementias (2026) · cites this paper as [14]
Using genome-wide summary statistics from studies including proxy cases can introduce biases.
“The no-proxy summary statistics were selected for this analysis to maximize power while avoiding biases that can arise when using genome-wide summary statistics from studies including proxy cases14–16.”
From Consensus meta-analysis of genome-wide association studies for Alzheimer’s disease and related dementias (2026) · cites this paper as [14]
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- Authors
- Wu, Y., Sun, Z., Zheng, Q., Miao, J., Dorn, S., Mukherjee, S., Fletcher, J. M., & Lu, Q.
- Affiliations
- University of Wisconsin–Madison (US)
- University of Washington (US)
- Corresponding author
- Lu, Qiongshi
- ORCID
- Venue
- Nature Genetics
- Published
- 2024-11-04
- Volume
- 56
- Issue
- 12
- Pages
- 2696-2703
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC11929606
- OpenAlex
- W4404045822
- Cited by
- 45
- References
- 50
- Citations by year
- 2026: 23 · 2025: 21 · 2024: 1
- FWCI
- 13.23
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- Funders
- U.S. Department of Health & Human Services | NIH | National Institute on Aging (P30 AG017266, R21 AG085162)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- Alzheimer's disease, survivorship bias, genetic correlation, higher education, cognitive function, biobank cohort
- MeSH terms
- Alzheimer Disease, Female, Humans, Male, Middle Aged, Parents, Phenotype, Bias, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Genome-Wide Association Study
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