Submitted by ja607 on
Title | Genome-wide profiling of heritable and de novo STR variations. |
Publication Type | Journal Article |
Year of Publication | 2017 |
Authors | Willems, T, Zielinski, D, Yuan, J, Gordon, A, Gymrek, M, Erlich, iv, Y |
Journal | Nat Methods |
Volume | 14 |
Issue | 6 |
Pagination | 590-592 |
Date Published | 2017 Jun |
ISSN | 1548-7105 |
Keywords | Algorithms, Chromosome Mapping, DNA Fingerprinting, Genetic Predisposition to Disease, Genetic Variation, Genome, Human, High-Throughput Nucleotide Sequencing, Humans, Microsatellite Repeats, Sequence Alignment, Sequence Analysis, DNA, Software |
Abstract | Short tandem repeats (STRs) are highly variable elements that play a pivotal role in multiple genetic diseases, population genetics applications, and forensic casework. However, it has proven problematic to genotype STRs from high-throughput sequencing data. Here, we describe HipSTR, a novel haplotype-based method for robustly genotyping and phasing STRs from Illumina sequencing data, and we report a genome-wide analysis and validation of de novo STR mutations. HipSTR is freely available at https://hipstr-tool.github.io/HipSTR. |
DOI | 10.1038/nmeth.4267 |
Alternate Journal | Nat Methods |
PubMed ID | 28436466 |
PubMed Central ID | PMC5482724 |
Grant List | UM1 HG008901 / HG / NHGRI NIH HHS / United States |