Title | Searching thousands of genomes to classify somatic and novel structural variants using STIX. |
Publication Type | Journal Article |
Year of Publication | 2022 |
Authors | Chowdhury, M, Pedersen, BS, Sedlazeck, FJ, Quinlan, AR, Layer, RM |
Journal | Nat Methods |
Volume | 19 |
Issue | 4 |
Pagination | 445-448 |
Date Published | 2022 Apr |
ISSN | 1548-7105 |
Keywords | Algorithms, Genome, Genomic Structural Variation, High-Throughput Nucleotide Sequencing, Humans, Neoplasms, Software |
Abstract | Structural variants are associated with cancers and developmental disorders, but challenges with estimating population frequency remain a barrier to prioritizing mutations over inherited variants. In particular, variability in variant calling heuristics and filtering limits the use of current structural variant catalogs. We present STIX, a method that, instead of relying on variant calls, indexes and searches the raw alignments from thousands of samples to enable more comprehensive allele frequency estimation. |
DOI | 10.1038/s41592-022-01423-4 |
Alternate Journal | Nat Methods |
PubMed ID | 35396485 |
PubMed Central ID | PMC9007735 |
Grant List | R00 HG009532 / HG / NHGRI NIH HHS / United States R01 HG010757 / HG / NHGRI NIH HHS / United States U01 CA231978 / CA / NCI NIH HHS / United States |