1 / 26

Lesson 5 Genetic Variant Annotation

CBI Tech. Workshop - NGS Special Session. Lesson 5 Genetic Variant Annotation. Linlin Yan ( 颜林林 ) Center for Bioinformatics, Peking University Jun 13, 2011. Outline. Review & Overview Thoughts & Methods Variant Browsing Variant Annotation Association Study More Beyond Demos & Exercises.

allan
Télécharger la présentation

Lesson 5 Genetic Variant Annotation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. CBI Tech. Workshop - NGS Special Session Lesson 5Genetic Variant Annotation Linlin Yan (颜林林)Center for Bioinformatics, Peking University Jun 13, 2011

  2. Outline • Review & Overview • Thoughts & Methods • Variant Browsing • Variant Annotation • Association Study • More Beyond • Demos & Exercises

  3. Part I: Review & Overview

  4. Workshop Schedule

  5. NGS Analysis Workflow Sequencer Mapping Short Reads Assembling Call Variants Alignments Contigs / Scaffolds Calculate Expression Call Peaks SNV / CNV / SV Peaks / Regions Expression Profile Annotation

  6. Genetic Variant Analysis Workflow Sequencer • Solexa Pipeline (Lesson 2) • File Format (Lesson 1) • FASTQ / Quality / SAM / ... • Reads Mapping (Lesson 1) • Maq / Bowtie / BWA • Alignment File Manipulate (Lesson 3) • Samtools / BedTools / FastX-tool • Genetic Variant Caller (Lesson 4) • GATK • Genetic Variant Annotation (Lesson 5) • PolyPhen / SIFT / ANNOVAR / PLINK / ... Short Reads Mapping Alignments Call Variants SNV / CNV / SV Annotation

  7. Part II: Thoughts & Methods

  8. What at the positions? How affect functions? What related to phenotype? More beyond ... => Genome Browser => Variant Annotation => Association Study => Disease: CDCV vs. CDRV What Could Be Inferred from Variants SNV / CNV / SV Genome Annotation Genetic Variants Mutation Effects Disease Phenotype

  9. Genome Browser Online Browsers: • UCSC Genome Browser • http://genome.ucsc.edu/ • Ensembl Genome Browser • http://www.ensembl.org/ • DNAnexus • https://dnanexus.com/genomes/hg18/public_browse Local Browsers: • IGV (Integrative Genomics Viewer) • http://www.broadinstitute.org/igv/

  10. UCSC Genome Browser (http://genome.ucsc.edu/cgi-bin/hgTracks?clade=mammal&org=Human&db=hg19)

  11. Support Formats: BED / bigBed bedGraph GFF GTF WIG / bigWig MAF BAM BED detail Personal Genome SNP PSL UCSC Genome Browser (cont.) (http://genome.ucsc.edu/)

  12. IGV (Integrative Genomics Viewer) (http://www.broadinstitute.org/igv/)

  13. UCSC: Table Browser & Public DB • Retrieve track data in batch • Retrieve sequences in specific regions • Combine regions and/or annotations • Query track data in public MySQL database (http://genome.ucsc.edu/cgi-bin/hgTables)

  14. These are KNOWN variants. How about UNKNOWN variants?

  15. Mutation Effects Prediction • SIFT (Sorting Intolerant From Tolerant) • http://sift.jcvi.org/ • PolyPhen (Polymorphism Phenotyping) • http://genetics.bwh.harvard.edu/pph/ • MAPP(Multivariate Analysis of Protein Polymorphism) • http://mendel.stanford.edu/SidowLab/downloads/MAPP/index.html • SNPs3D • http://www.snps3d.org/

  16. Automatically Variant Annotation ANNOVAR (ANNOtate VARiation) • http://www.openbioinformatics.org/annovar/ • Gene-based annotation • SNPs/CNVs affect protein coding • Region-based annotations • Variants in specific region • Filter-based annotation • Variants reported in dbSNP, 1000 genomes • Filter by SIFT score • Others • Retrieve sequences or cadidate gene list in batch

  17. Between Patients and Normals • Too many variants detected • Most variants are not related to target disease • Comparing MAF (Minor allele Frequency) between patients and normals can indicate related variants

  18. Association Study Tools • PLINK • http://pngu.mgh.harvard.edu/~purcell/plink/ • gPLINK • http://pngu.mgh.harvard.edu/~purcell/plink/gplink.shtml • Haploview • http://www.broadinstitute.org/scientific-community/science/programs/medical-and-population-genetics/haploview/haploview

  19. More Beyond: Find Out Causal Gene • Two Disease Hypothesis Models: • CDCV: Common Disease, Common Variant • CDRV: Common Disease, Rare Variant • To Find Out Rare Variant • From GWAS (Microarray) to Sequencing • More Samples • Pool-up analysis methods

  20. Rare Variant Analysis • Gene-Based Method (PMID:17660818)

  21. Pool Up The Rare Variants • Fixed-Threshold Method (Li, et al, 2008) • Weighted Approach (Madsen, et al, 2009) • Variable-Threshold Method (VT-Test) (Price, et al, 2010) • http://genetics.bwh.harvard.edu/rare_variants/

  22. Part III: Demos & Exercises

  23. Demos • Data Preparing • Reads Mapping • Variant Calling • BED/Wig generation

  24. Demos (cont.) • UCSC Genome Browser • Uploading BAM/BED/Wig • IGV Genome Browser • Loading BAM/BED/Wig • UCSC Table Browser • Retrieve track data • Retrieve coding sequences • UCSC Public Database

  25. Demos (cont.) • SIFT & PolyPhen • ANNOVAR • PLINK • VT-Test

  26. Thanks for your attention!

More Related