A Bioinformatic Tool for Local Haplotyping of Deletion-Insertion Variants from Next-Generation Sequencing Data after Variant Calling

被引:3
|
作者
Schmidt, Ryan J. [1 ]
Macleay, Allison [2 ]
Le, Long Phi [2 ]
机构
[1] Univ Southern Calif, Keck Sch Med, Childrens Hosp Los Angeles, Ctr Personalized Med,Dept Pathol & Lab Med, Los Angeles, CA 90033 USA
[2] Harvard Med Sch, Massachusetts Gen Hosp, Dept Pathol, CID, Boston, MA 02115 USA
来源
JOURNAL OF MOLECULAR DIAGNOSTICS | 2019年 / 21卷 / 03期
关键词
D O I
10.1016/j.jmoldx.2018.12.003
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
Accurate genetic variant representation through nomenclature and annotation is essential for understanding functional consequence and properly noting the presence of variants across time, assays, and Laboratories. Current variant calling algorithms detect single deletion-insertion variants as multiple indel and/or substitution variants from next-generation sequencing data. Consequently, these variants are separately annotated in bioinformatics pipelines, leading to inaccurate variant representation. We developed a bioinformatic solution to this problem-VarGrouper-that automatically recognizes individual variants that arise from a deletion insertion variant and aggregates them into a single variant that can be properly annotated. This tool has been integrated into our routine clinical molecular diagnostics workflow for DNA sequencing of solid tumors. Over an 11-month period, VarGrouper variants were reported by all attending molecular pathologists involved in interpretation and represented 4.1% of all variants reported; 10.9% of cases with reportable variants contained at least one VarGrouper variant. VarGrouper improves the practice of molecular diagnostics by increasing the accuracy and consistency of variant annotation. VarGrouper is freely available for use by the molecular diagnostic community.
引用
收藏
页码:384 / 389
页数:6
相关论文
共 50 条
  • [1] Confirmation of Insertion, Deletion, and Deletion-Insertion Variants Detected by Next-Generation Sequencing
    Choate, Lauren A.
    Koleilat, Alaa
    Harris, Kimberley
    Vidal-Folch, Noemi
    Guenzel, Adam
    Newman, Jessica
    Peterson, Brenda J.
    Peterson, Sandra E.
    Rice, Christopher S.
    Train, Laura J.
    Hasadsri, Linda
    Marcou, Cherisse A.
    Moyer, Ann M.
    Baudhuin, Linnea M.
    CLINICAL CHEMISTRY, 2023, 69 (10) : 1155 - 1162
  • [2] Comparison of insertion/deletion calling algorithms on human next-generation sequencing data
    Ghoneim D.H.
    Myers J.R.
    Tuttle E.
    Paciorkowski A.R.
    BMC Research Notes, 7 (1)
  • [3] SNVer: a statistical tool for variant calling in analysis of pooled or individual next-generation sequencing data
    Wei, Zhi
    Wang, Wei
    Hu, Pingzhao
    Lyon, Gholson J.
    Hakonarson, Hakon
    NUCLEIC ACIDS RESEARCH, 2011, 39 (19)
  • [4] Genotype and SNP calling from next-generation sequencing data
    Rasmus Nielsen
    Joshua S. Paul
    Anders Albrechtsen
    Yun S. Song
    Nature Reviews Genetics, 2011, 12 : 443 - 451
  • [5] Genotype and SNP calling from next-generation sequencing data
    Nielsen, Rasmus
    Paul, Joshua S.
    Albrechtsen, Anders
    Song, Yun S.
    NATURE REVIEWS GENETICS, 2011, 12 (06) : 443 - 451
  • [6] A study on fast calling variants from next-generation sequencing data using decision tree
    Li, Zhentang
    Wang, Yi
    Wang, Fei
    BMC BIOINFORMATICS, 2018, 19
  • [7] A study on fast calling variants from next-generation sequencing data using decision tree
    Zhentang Li
    Yi Wang
    Fei Wang
    BMC Bioinformatics, 19
  • [8] Validation and assessment of variant calling pipelines for next-generation sequencing
    Pirooznia, Mehdi
    Kramer, Melissa
    Parla, Jennifer
    Goes, Fernando S.
    Potash, James B.
    McCombie, W. Richard
    Zandi, Peter P.
    HUMAN GENOMICS, 2014, 8 : 14
  • [9] Validation and assessment of variant calling pipelines for next-generation sequencing
    Mehdi Pirooznia
    Melissa Kramer
    Jennifer Parla
    Fernando S Goes
    James B Potash
    W Richard McCombie
    Peter P Zandi
    Human Genomics, 8
  • [10] SNVerGUI: a desktop tool for variant analysis of next-generation sequencing data
    Wang, Wei
    Hu, Weicheng
    Hou, Fang
    Hu, Pingzhao
    Wei, Zhi
    JOURNAL OF MEDICAL GENETICS, 2012, 49 (12) : 753 - 755