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Pan-African genome demonstrates how population-specific genome graphs improve high-throughput sequencing data analysis

Authors :
H. Serhat Tetikol
Deniz Turgut
Kubra Narci
Gungor Budak
Ozem Kalay
Elif Arslan
Sinem Demirkaya-Budak
Alexey Dolgoborodov
Duygu Kabakci-Zorlu
Vladimir Semenyuk
Amit Jain
Brandi N. Davis-Dusenbery
Source :
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

Graph-based genome reference representations have seen significant development, motivated by the inadequacy of the current human genome reference to represent the diverse genetic information from different human populations and its inability to maintain the same level of accuracy for non-European ancestries. Here the authors present the case for iteratively augmenting tailored genome graphs for targeted populations and demonstrate this approach on the whole-genome samples of African ancestry.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.39388a3eaee04b3f918ec3f1c75ba7b1
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-022-31724-3