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A deep population reference panel of tandem repeat variation.

Authors :
Ziaei Jam, Helyaneh
Ziaei Jam, Helyaneh
Li, Yang
DeVito, Ross
Mousavi, Nima
Ma, Nichole
Lujumba, Ibra
Adam, Yagoub
Maksimov, Mikhail
Huang, Bonnie
Dolzhenko, Egor
Qiu, Yunjiang
Kakembo, Fredrick
Joseph, Habi
Onyido, Blessing
Adeyemi, Jumoke
Bakhtiari, Mehrdad
Park, Jonghun
Javadzadeh, Sara
Jjingo, Daudi
Adebiyi, Ezekiel
Bafna, Vineet
Gymrek, Melissa
Ziaei Jam, Helyaneh
Ziaei Jam, Helyaneh
Li, Yang
DeVito, Ross
Mousavi, Nima
Ma, Nichole
Lujumba, Ibra
Adam, Yagoub
Maksimov, Mikhail
Huang, Bonnie
Dolzhenko, Egor
Qiu, Yunjiang
Kakembo, Fredrick
Joseph, Habi
Onyido, Blessing
Adeyemi, Jumoke
Bakhtiari, Mehrdad
Park, Jonghun
Javadzadeh, Sara
Jjingo, Daudi
Adebiyi, Ezekiel
Bafna, Vineet
Gymrek, Melissa
Source :
Nature Communications; vol 14, iss 1
Publication Year :
2023

Abstract

Tandem repeats (TRs) represent one of the largest sources of genetic variation in humans and are implicated in a range of phenotypes. Here we present a deep characterization of TR variation based on high coverage whole genome sequencing from 3550 diverse individuals from the 1000 Genomes Project and H3Africa cohorts. We develop a method, EnsembleTR, to integrate genotypes from four separate methods resulting in high-quality genotypes at more than 1.7 million TR loci. Our catalog reveals novel sequence features influencing TR heterozygosity, identifies population-specific trinucleotide expansions, and finds hundreds of novel eQTL signals. Finally, we generate a phased haplotype panel which can be used to impute most TRs from nearby single nucleotide polymorphisms (SNPs) with high accuracy. Overall, the TR genotypes and reference haplotype panel generated here will serve as valuable resources for future genome-wide and population-wide studies of TRs and their role in human phenotypes.

Details

Database :
OAIster
Journal :
Nature Communications; vol 14, iss 1
Notes :
application/pdf, Nature Communications vol 14, iss 1
Publication Type :
Electronic Resource
Accession number :
edsoai.on1410326305
Document Type :
Electronic Resource