Traditional vs. Double‐round Genotype Imputation in multi‐ethnic Cohorts

Our findings demonstrate that multiple rounds of imputation generally outperform the traditional single one in terms of accuracy, particularly for rare and ultra-rare variants. This improvement is confirmed in groups that have shown higher error rates after traditional imputation, such as individuals with predominant African ancestry (Sariya et al. 2019). These results highlight a valuable and easy approach for enhancing the quality of imputed data across populations, which could lead to more robust genetic association studies.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70855_107394
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
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article

Traditional vs. Double‐round Genotype Imputation in multi‐ethnic Cohorts

Giuseppe Tosto, Basilio Cieza, Sarwan Ali
Alzheimer s & Dementia
Genetic Associations and Epidemiology
article

Traditional vs. Double‐round Genotype Imputation in multi‐ethnic Cohorts

Giuseppe Tosto, Basilio Cieza, Sarwan Ali
article en

Abstract

Our findings demonstrate that multiple rounds of imputation generally outperform the traditional single one in terms of accuracy, particularly for rare and ultra-rare variants. This improvement is confirmed in groups that have shown higher error rates after traditional imputation, such as individuals with predominant African ancestry (Sariya et al. 2019). These results highlight a valuable and easy approach for enhancing the quality of imputed data across populations, which could lead to more robust genetic association studies.

Alzheimer s & DementiaVol. 21(S1)
NewYork–Presbyterian Hospital (US), Presbyterian Hospital (US), Columbia University (US)
Openalex Percentile: Top 25%
Genetic Associations and Epidemiology
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Traditional vs. Double‐round Genotype Imputation in multi‐ethnic Cohorts — Giuseppe Tosto, Basilio Cieza, et al. · Alzheimer s & Dementia (2025) | TGRS Research Map | TGRS