Autor: |
Jonghun Park, Mehrdad Bakhtiari, Bernt Popp, Michael Wiesener, Vineet Bafna |
Jazyk: |
angličtina |
Rok vydání: |
2022 |
Předmět: |
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Zdroj: |
iScience, Vol 25, Iss 8, Pp 104785- (2022) |
Druh dokumentu: |
article |
ISSN: |
2589-0042 |
DOI: |
10.1016/j.isci.2022.104785 |
Popis: |
Summary: The human genome contains more than one million tandem repeats (TRs), DNA sequences containing multiple approximate copies of a motif repeated contiguously. TRs account for significant genetic variation, with 50 + diseases attributed to changes in motif number. A few diseases have been to be caused by small indels in variable number tandem repeats (VNTRs) including poly-cystic kidney disease type 1 (MCKD1) and monogenic type 1 diabetes. However, small indels in VNTRs are largely unexplored mainly due to the long and complex structure of VNTRs with multiple motifs. We developed a method, code-adVNTR, that utilizes multi-motif hidden Markov models to detect both, motif count variation and small indels, within VNTRs. In simulated data, code-adVNTR outperformed GATK-HaplotypeCaller in calling small indels within large VNTRs. We used code-adVNTR to characterize coding VNTRs in the 1000 genomes data identifying many population-specific variants, and to reliably call MUC1 mutations for MCKD1. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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