arrow-left

All pages
gitbookPowered by GitBook
1 of 5

Loading...

Loading...

Loading...

Loading...

Loading...

MSK-ACCESS V1

Things to know for MSK-ACCESS V1 for Research

hashtag
What is MSK-ACCESS?

It is a hybrid capture panel designed for Analysis of Circulating cfDNAarrow-up-right to Evaluate Somatic Status using the Unique Molecular Index (UMIs) for high sensitivity. MSK-ACCESS is 13% as large, captures 47% of all mutations detected by MSK-IMPACT.

Brannon, A. R. et al. Enhanced specificity of clinical high-sensitivity tumor mutation profiling in cell- free DNA via paired normal sequencing using MSK-ACCESS. Nat Commun 12, 3770 (2021).arrow-up-right

hashtag
What is the panel design?

Selected exons of 129 genes for mutation detection

  • Level 1-4

  • High rates of mutations

SNPs of & of 12 genes

Common for

Introns for of 10 genes

genes

hashtag
What are the Design Implications?

  • Matched cfDNA-WBC (”tumor-normal”) assay to detect somatic alterations

  • Sensitivity for mutation calling depends on ‘duplex’ collapsed coverage

  • Different sensitivities for different classes of alterations

circle-info

+ -> sensitivity for that event type

○ -> cannot be calculated

Protein kinase domainsarrow-up-right
  • Tumor suppressor genesarrow-up-right

  • Genotyping +++++

  • De novo mutations, indels ++++

  • MSI +++

  • Rearrangements +++

  • Copy number ++

  • Tumor mutation burden ○

  • OncoKBarrow-up-right
    Hotspot sitesarrow-up-right
    Microsatellite regionsarrow-up-right
    zygosityarrow-up-right
    copy numberarrow-up-right
    SNPsarrow-up-right
    genome-wide copy numberarrow-up-right
    structural variantsarrow-up-right
    Clonal hematopoiesisarrow-up-right
    Duplex UMIs for Error Correction

    Computational Biologist

    circle-exclamation

    Please visit this page once you have done things necessary here: https://mskcc.github.io/on-boarding/arrow-up-right

    • The best place to start is to learn more about MSK-ACCESS and for that please read the paper:

    • Learn more about the current collapsing method

    • Learn more about the new collapsing () method using

    • Learn more about the

    • Understand the updated version for the above using these

    • Learn about scripts that help with downstream analysis

    • Learn about for viewing BAM files to distinguish real variants from artifacts

    circle-info

    Below are resources that would be handy for you to learn more about all the tools described in the paper.

    hashtag
    Project Management

    Assay/Team
    Link to the tool

    hashtag
    Functional Resources

    Assay/Purpose/Team/Tool
    URL

    hashtag
    Path's to know

    hashtag
    CMO-ACCESS

    hashtag
    Data on JUNO for CMO-ACCESS samples

    Analysis Type
    JUNO Location

    hashtag
    Resources

    Resource Type
    JUNO Location

    hashtag
    Details of CMO ACCESS Resources

    • admie - Files used for microsatellite instability detection tool ADMIE for MSK-ACCESS

    • cosmic - VCF file of cosmic used in MSK-ACCESS workflows

    • dbSNP

    circle-info

    If we can justify adding data/tools to the above-mentioned location please contact .

    Fingerpriting using Biometrics

    High Performance Computing

    Nucleo (Fgbio)

    Quality Control for ACCESS V2

    - VCF file of dbSNP used in MSK-ACCESS workflows
  • exac - VCF file of ExAC used in MSK-ACCESS workflows

  • mills-and-1000g - VCF file of mills-and-1000g used in MSK-ACCESS

  • reference - reference genome file used in MSK-ACCESS workflows

  • tools - general packages used in MSK-ACCESS workflows

  • msk-access - Data-specific resources for MSK-ACCESS workflows. This includes the following:

    • hiseq4000_curated_duplex_bams_dmp - curated DMP duplex BAMS from HiSeq 4000

    • novaseq_curated_simplex_bams_dmp - curated DMP simplex BAM from NovaSeq.

    • hiseq4000_curated_simplex_bams_dmp - curated DMP simplex BAM from HiSeq 4000

    • novaseq_curated_standard_bams_dmp - curated DMP standard BAM from NovaSeq

    • hiseq4000_curated_standard_bams_dmp - curated DMP standard BAM from HiSeq 4000

    • novaseq_curated_unfiltered_bams_dmp - curated DMP unfiltered BAM from NovaSeq

    • hiseq4000_curated_unfiltered_bams_dmp - curated DMP unfiltered BAM from HiSeq 4000

    • novaseq_unmatched_normal_plasma_duplex_bams_dmp - DMP unmatched normal plasma duplex BAM from NovaSeq

    • hiseq4000_unmatched_normal_plasma_duplex_bams_dmp - DMP unmatched normal plasma duplex BAM from HiSeq 4000

    • novaseq_unmatched_normal_plasma_standard_bams_dmp - DMP unmatched normal plasma standard BAM from NovaSeq

    • hiseq4000_unmatched_normal_plasma_standard_bams_dmp - DMP unmatched normal plasma standard BAM from HiSeq 4000

    • novaseq_curated_duplex_bams_dmp - curated DMP duplex BAMS from NovaSeq

    • regions_of_interest - Different interval files describing regions of interest for MSK-ACCESS assay

  • MSK-ACCESS

    Link to AirTablearrow-up-right

    CMO-CH

    Link to AirTablearrow-up-right

    CMO Cell-Free Informatics (CCI)

    https://clickup.com/arrow-up-right - Request access once you have your msk email id

    MSK-ACCESS V1 (Marianas)

    https://github.com/mskcc/ACCESS-Pipelinearrow-up-right

    CCI organization on Github

    https://github.com/msk-accessarrow-up-right

    cBioPortal DMP data

    InternalLink: https://github.mskcc.org/knowledgesystems/dmp-2022arrow-up-right

    Quality Control for ACCESS V1

    Downstream analysis of ACCESS Data

    https://cmo-ci.gitbook.io/cmo-access-data-analysis/arrow-up-right

    BAM

    /juno/work/access/production/data/bams/{cmo_patient_id}/{cmo_sample_id}/current/

    Small Variant (SNV’s/INDEL’s)

    /juno/work/access/production/data/small_variants/{cmo_patient_id}/{cmo_sample_id}/current/

    Microsatellite Instability(MSI)

    /juno/work/access/production/data/microsatellite_instability/{cmo_patient_id}/{cmo_sample_id}/current/

    Structural Variant (SV)

    /juno/work/access/production/data/structural_variants/{cmo_patient_id}/{cmo_sample_id}/current/

    Copy Number Variants (CNV)

    /juno/work/access/production/data/copy_number_variants/{cmo_patient_id}/{cmo_sample_id}/current/

    NYS validation data

    /work/access/production/runs/NYS_validation/current

    CMO-ACCESS

    /work/access/production/

    CMO-ACCESS Resources

    /work/access/production/resources/

    CMO-CH

    /work/ch/

    Berger Lab

    /work/bergerm1/bergerlab

    Brannon, A. R. et al. Enhanced specificity of clinical high-sensitivity tumor mutation profiling in cell- free DNA via paired normal sequencing using MSK-ACCESS. Nat Commun 12, 3770 (2021).arrow-up-right
    Marianasarrow-up-right
    Nucleoarrow-up-right
    Fgbioarrow-up-right
    Quality Control V1arrow-up-right
    Quality Control V2arrow-up-right
    ACCESS Data analysisarrow-up-right
    IGVarrow-up-right
    Ronak Shahenvelope

    Workflows V1

    Workflows associated with version 1 of the Assay

    hashtag
    BAM Generation & Quality Control

    Github Location ->

    Tools Used:

    CMO-CH V1

    This wiki explains the CMO-CH V1 assay

    hashtag
    What is CMO-CH assay?

    CMO-CH is offered by the Center for Molecular Oncology (CMO) to MSK researchers for profiling white blood cell DNA to detect mutations in the most commonly altered (CH) associated genes.

    hashtag

    What is the panel design?
    • 596 targets capturing 58% of CH and 90.4% of CH-PD mutations identified in the latest CH dataset from 40K patients

    • Total size = 1,143 probes (0.14 Mb)

    • Full gene coverage for TP53, TET2, ASXL1, DNMT3A, PPM1D, CHEK2, ASXL1, ATM, SF3B1, SRSF2, U2AF1, and U2AF2•Additional targets with hotspot positions from IMPACT heme assay

    • SNP tiling around TP53, CBL, MPL, JAK2, EZH2, TET2, RUNX1, and ATM (+/-10kb) to identify allelic-imbalances

    • 40 fingerprint SNPs that are shared with all other NGS assays (IMPACT, ACCESS, WES etc.) to detect sample mismatches

    clonal hematopoiesisarrow-up-right

    BWAarrow-up-right

  • Trimgalorearrow-up-right

  • GATKarrow-up-right

  • Picard Toolsarrow-up-right

  • ABRA2arrow-up-right

  • Marianasarrow-up-right

  • hashtag
    Variant Calling

    BAM files used for the workflows

    hashtag
    Small Variants

    Github Location -> https://github.com/mskcc/ACCESS-Pipeline/blob/master/workflows/subworkflows/snps_and_indels.cwlarrow-up-right

    Tools Used:

    • VardictJavaarrow-up-right

    • MuTectarrow-up-right

    • VCF2MAFarrow-up-right

    hashtag
    Copy Number Variant (CNV)

    Github Location -> https://github.com/mskcc/ACCESS-Pipeline/blob/master/workflows/subworkflows/call_cnv.cwlarrow-up-right

    Refer to Bioinformatics Pipeline to Detect CNA's section in this paper for details:

    Dara S. Ross, Ahmet Zehir, Donavan T. Cheng, Ryma Benayed, Khedoudja Nafa, Jaclyn F. Hechtman, Yelena Y. Janjigian, Britta Weigelt, Pedram Razavi, David M. Hyman, José Baselga, Michael F. Berger, Marc Ladanyi, Maria E. Arcila, Next-Generation Assessment of Human Epidermal Growth Factor Receptor 2 (ERBB2) Amplification Status: Clinical Validation in the Context of a Hybrid Capture-Based, Comprehensive Solid Tumor Genomic Profiling Assay, The Journal of Molecular Diagnostics, Volume 19, Issue 2, 2017, Pages 244-254, ISSN 1525-1578, https://doi.org/10.1016/j.jmoldx.2016.09.010.arrow-up-right

    hashtag
    Structural Variant (SV)

    Github Location -> https://github.com/mskcc/ACCESS-Pipeline/blob/master/workflows/subworkflows/manta.cwlarrow-up-right

    Tool Used:

    • Mantaarrow-up-right

    • iAnnotateSVarrow-up-right

    hashtag
    Microsatellite Instability Status (MSI)

    Github Location -> https://github.com/mskcc/ACCESS-Pipeline/blob/master/workflows/subworkflows/msi.cwlarrow-up-right

    Tool Used:

    • ADMIEarrow-up-right

    hashtag
    Configurations

    Voyager has all our configurations in the jinja template, it includes all the paths for various files and tools associated with the workflows, all location are on JUNO:

    hashtag
    snps_indels: beagle/input_template.json.jinja2 at master · mskcc/beagle (github.com)arrow-up-right

    hashtag
    CNV: beagle/input_template.json.jinja2 at master · mskcc/beagle (github.com)arrow-up-right

    hashtag
    Fastq_to_bam: beagle/input_template.json.jinja2 at master · mskcc/beagle (github.com)arrow-up-right

    hashtag
    MSI: beagle/input_template.json.jinja2 at master · mskcc/beagle (github.com)arrow-up-right

    hashtag
    SV : beagle/input_template.json.jinja2 at master · mskcc/beagle (github.com)arrow-up-right

    https://github.com/mskcc/ACCESS-Pipeline/blob/master/workflows/ACCESS_pipeline.cwlarrow-up-right
    Overview of the BAM Generation and Quality Control workflow
    https://cmo-ci.gitbook.io/biometrics/arrow-up-right
    https://mskcchpc.org/arrow-up-right
    https://github.com/msk-access/nucleoarrow-up-right
    https://cmo-ci.gitbook.io/access-quality-control-v2/arrow-up-right
    Access Quality Control (v1)

    Analysis

    This is a wiki for analysis of MSK-ACCESS data

    This pages