Legacy Data Confound Genomics Studies.
batch effect
imputation
mutational signature
population genetics
reference cohorts
statistical genetics
Journal
Molecular biology and evolution
ISSN: 1537-1719
Titre abrégé: Mol Biol Evol
Pays: United States
ID NLM: 8501455
Informations de publication
Date de publication:
01 Jan 2020
01 Jan 2020
Historique:
pubmed:
11
9
2019
medline:
6
2
2020
entrez:
11
9
2019
Statut:
ppublish
Résumé
Recent reports have identified differences in the mutational spectra across human populations. Although some of these reports have been replicated in other cohorts, most have been reported only in the 1000 Genomes Project (1kGP) data. While investigating an intriguing putative population stratification within the Japanese population, we identified a previously unreported batch effect leading to spurious mutation calls in the 1kGP data and to the apparent population stratification. Because the 1kGP data are used extensively, we find that the batch effects also lead to incorrect imputation by leading imputation servers and a small number of suspicious GWAS associations. Lower quality data from the early phases of the 1kGP thus continue to contaminate modern studies in hidden ways. It may be time to retire or upgrade such legacy sequencing data.
Identifiants
pubmed: 31504792
pii: 5556817
doi: 10.1093/molbev/msz201
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
2-10Informations de copyright
© The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.