Work

Germ line tissues for optimal detection of somatic variants in myelodysplastic syndromes

Year: 2018

Type: article

Abstract: TO THE EDITOR: Population-level germ line heterogeneity, rare single nucleotide polymorphisms (SNPs), and sequence alignment to a single reference genome make it challenging for variant-calling algorithms to distinguish germ line variants from somatically acquired mutations with high throughput

Source: Blood

DOI: 10.1182/blood-2018-01-827881

Authors: Eric Padron, Markus C. Ball, Jamie K. Teer, Jeffrey S. Painter, Sean J. Yoder, Chaomei Zhang, Ling Zhang, Lynn C. Moscinski, Dana E. Rollison, Steven D. Gore, Rafael Bejar, Matthew J. Walter, Mikkael A. Sekeres, Rami S. Komrokji, Pearlie K. Epling-Burnette

Institutions: Moffitt Cancer Center, Yale Cancer Center, Yale University, University of California San Diego, Moores Cancer Center, Washington University in St. Louis, Cleveland Clinic

Language: English

Topic: Acute Myeloid Leukemia Research

Subfield: Hematology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Cancer Institute

Award: Moffitt Cancer Center Support Grant

OpenAlex ID: W2800639766

FWCI: 3.406

Cites: 12

Cited by: 49

Related to: 10