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Evaluating Splice Site Variants in VarSeq
Nathan Fortier, Ph.D. – Director of Research
20 most promising
Biotech Technology
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Life sciences
Q & A
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NIH Grant Funding Acknowledgments
▪ Research reported in this publication was supported by the National Institute Of
General Medical Sciences of the National Institutes of Health under:
- Award Number R43GM128485
- Award Number 2R44 GM125432-01
- Award Number 2R44 GM125432-02
- Montana SMIR/STTR Matching Funds Program Grant Agreement Number 19-51-RCSBIR-005
▪ PI is Dr. Andreas Scherer, CEO Golden Helix.
▪ The content is solely the responsibility of the authors and does not necessarily
represent the official views of the National Institutes of Health.
Golden Helix – Who We Are
Golden Helix is a global bioinformatics
company founded in 1998.
GWAS
Genomic Prediction
Large-N Population Studies
RNA-Seq
CNV-Analysis
Variant Warehouse
Centralized Annotations
Hosted Reports
Sharing and Integration
Variant Calling
Filtering and Annotation
Clinical Reports
CNV Analysis
Pipeline: Run Workflows
Cited in over 1,300 peer-reviewed publications
Over 400 customers globally
Golden Helix – Who We Are
When you choose a Golden Helix solution, you get more than
just software
▪ REPUTATION
▪ TRUST
▪ EXPERIENCE
▪ INDUSTRY FOCUS
▪ THOUGHT
LEADERSHIP
▪ COMMUNITY
▪ TRAINING
▪ SUPPORT
▪ RESPONSIVENESS
▪ INNOVATION and
SPEED
VarSeq Clinical Workflows Stack
VSClinical
▪ Complete Support for ACMG Guideline
Workflow:
- Implements a guided workflow for following the ACMG guideline
scoring and classifying
- Place criteria into conceptually related groups, paired with their
opposites, and formatted as answerable question.
▪ Aggregate and Automate:
- Questions have supporting evidence presented with rich and
interactive visuals
- Automatically computed recommendations for questions that have
explicit bioinformatic evidence, with supporting reasons for each
answer.
▪ Expert and Beginner Friendly:
- Start with descriptive summaries and recommendations for a
variant
- Deep dive into Population Catalogs, Gene Impact, Published
Studies and Clinical tabs
- Integrated documentation, readings on scoring criteria and
citations
Splice Sites
▪ Understanding a variant’s impact on
splicing is crucial
▪ Synonymous variants can disrupt
existing splice sites or introduce
novel splice sites
▪ Such variants can cause exon
skipping or truncation
Splice Sites
▪ Introns have distinct nucleotide
pairs at each end
- GT at the 5’ end (Donor Site)
- AG at the 3’ end (Acceptor Site)
▪ Area surrounding nucleotide pair is
defined by a splice motif
▪ Sequences around splice sites are
highly variable
▪ Machine learning and probabilistic
methods are used to identify sites
Algorithms
▪ VSClinical supports four splice site prediction algorithms
- PWM: Uses position weight matrix similar to SpliceSiteFinder and
Human Splice Finder
- MaxEntScan: Approximates sequence motifs using Maximum
Entropy Distribution
- NNSplice: Identifies splice sites using neural networks
- GeneSplicer: Uses Markov models combined with maximal
dependence decomposition
[Demo in VarSeq]
NIH Grant Funding Acknowledgments
▪ Research reported in this publication was supported by the National Institute Of
General Medical Sciences of the National Institutes of Health under:
- Award Number R43GM128485
- Award Number 2R44 GM125432-01
- Award Number 2R44 GM125432-02
- Montana SMIR/STTR Matching Funds Program Grant Agreement Number 19-51-RCSBIR-005
▪ PI is Dr. Andreas Scherer, CEO Golden Helix.
▪ The content is solely the responsibility of the authors and does not necessarily
represent the official views of the National Institutes of Health.
Q & A

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Evaluating Splice Site Variants in VarSeq

  • 1. Evaluating Splice Site Variants in VarSeq Nathan Fortier, Ph.D. – Director of Research 20 most promising Biotech Technology Providers Top 10 Analytics Solution Providers Hype Cycle for Life sciences
  • 2. Q & A Please enter your questions into your GoToWebinar Panel
  • 3. NIH Grant Funding Acknowledgments ▪ Research reported in this publication was supported by the National Institute Of General Medical Sciences of the National Institutes of Health under: - Award Number R43GM128485 - Award Number 2R44 GM125432-01 - Award Number 2R44 GM125432-02 - Montana SMIR/STTR Matching Funds Program Grant Agreement Number 19-51-RCSBIR-005 ▪ PI is Dr. Andreas Scherer, CEO Golden Helix. ▪ The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
  • 4. Golden Helix – Who We Are Golden Helix is a global bioinformatics company founded in 1998. GWAS Genomic Prediction Large-N Population Studies RNA-Seq CNV-Analysis Variant Warehouse Centralized Annotations Hosted Reports Sharing and Integration Variant Calling Filtering and Annotation Clinical Reports CNV Analysis Pipeline: Run Workflows
  • 5. Cited in over 1,300 peer-reviewed publications
  • 7. Golden Helix – Who We Are When you choose a Golden Helix solution, you get more than just software ▪ REPUTATION ▪ TRUST ▪ EXPERIENCE ▪ INDUSTRY FOCUS ▪ THOUGHT LEADERSHIP ▪ COMMUNITY ▪ TRAINING ▪ SUPPORT ▪ RESPONSIVENESS ▪ INNOVATION and SPEED
  • 9. VSClinical ▪ Complete Support for ACMG Guideline Workflow: - Implements a guided workflow for following the ACMG guideline scoring and classifying - Place criteria into conceptually related groups, paired with their opposites, and formatted as answerable question. ▪ Aggregate and Automate: - Questions have supporting evidence presented with rich and interactive visuals - Automatically computed recommendations for questions that have explicit bioinformatic evidence, with supporting reasons for each answer. ▪ Expert and Beginner Friendly: - Start with descriptive summaries and recommendations for a variant - Deep dive into Population Catalogs, Gene Impact, Published Studies and Clinical tabs - Integrated documentation, readings on scoring criteria and citations
  • 10. Splice Sites ▪ Understanding a variant’s impact on splicing is crucial ▪ Synonymous variants can disrupt existing splice sites or introduce novel splice sites ▪ Such variants can cause exon skipping or truncation
  • 11. Splice Sites ▪ Introns have distinct nucleotide pairs at each end - GT at the 5’ end (Donor Site) - AG at the 3’ end (Acceptor Site) ▪ Area surrounding nucleotide pair is defined by a splice motif ▪ Sequences around splice sites are highly variable ▪ Machine learning and probabilistic methods are used to identify sites
  • 12. Algorithms ▪ VSClinical supports four splice site prediction algorithms - PWM: Uses position weight matrix similar to SpliceSiteFinder and Human Splice Finder - MaxEntScan: Approximates sequence motifs using Maximum Entropy Distribution - NNSplice: Identifies splice sites using neural networks - GeneSplicer: Uses Markov models combined with maximal dependence decomposition
  • 14. NIH Grant Funding Acknowledgments ▪ Research reported in this publication was supported by the National Institute Of General Medical Sciences of the National Institutes of Health under: - Award Number R43GM128485 - Award Number 2R44 GM125432-01 - Award Number 2R44 GM125432-02 - Montana SMIR/STTR Matching Funds Program Grant Agreement Number 19-51-RCSBIR-005 ▪ PI is Dr. Andreas Scherer, CEO Golden Helix. ▪ The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
  • 15. Q & A