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SNPs and Human Diseases XV Robert Kraaij Department of Internal - PowerPoint PPT Presentation

NGS technologies DepthOfCoverage SNPs and Human Diseases XV Robert Kraaij Department of Internal Medicine r.kraaij@erasmusmc.nl What will NGS bring us? RFLP TaqMan Array Array and Imputation Regional Sequencing Full Genome Sequencing


  1. NGS technologies DepthOfCoverage SNPs and Human Diseases XV Robert Kraaij Department of Internal Medicine r.kraaij@erasmusmc.nl

  2. What will NGS bring us? RFLP TaqMan Array Array and Imputation Regional Sequencing Full Genome Sequencing

  3. • First Generation: a bit of history • Next (Second) Generation • Third Generation

  4. 1977: Maxam & Gilbert Sequencing Walter Gilbert from wikipedia.org

  5. Maxam & Gilbert Sequencing G G+A C+T C

  6. 1977: Sanger Sequencing Frederick Sanger from wikipedia.org

  7. Sanger Sequencing G A T C

  8. Sanger sequencing landmarks • 1977 bacteriophage φ X174 5.4 kb • 1984 Epstein-Barr virus 170 kb • 1995 Haemophilus influenzae 1.8 Mb • 2001 Human 3 Gb from wikipedia.org

  9. The Human Genome Project Bill Clinton Tony Blair Craig Venter Francis Collins June 26 th , 2000 : working draft, 95% gesequenced April 14 th , 2003 : finished, 99% gesequenced Costs : $ 2.7 billion (instead of $ 3 billion) Timing : 1990 - 2003 (instead of 2005)

  10. • First Generation: a bit of history • Next (Second) Generation • Third Generation

  11. Next Generation: Illumina

  12. Sequencing Workflow Library Data DNA preparation Sequencing analysis isolation

  13. Sequencing Workflow Library Data DNA preparation Sequencing analysis isolation

  14. Sequencing Workflow Library Data DNA preparation Sequencing analysis isolation

  15. Illumina sequencing • fragment DNA • clonal amplification on flowcell by bridgePCR • sequencing-by-synthesis

  16. Bridge amplification

  17. Illumina sequencing • fragment DNA • clonal amplification on flowcell by bridgePCR • sequencing-by-synthesis

  18. Sequencing by synthesis

  19. Sequencing by synthesis

  20. Per Cycle Imaging

  21. Per Cycle Imaging G A T C

  22. Per Cycle Base Calling G G good quality poor quality

  23. Quality Scoring Phred Score Incorrect base Accuracy 1 in 10 90 % 10 20 1 in 100 99 % 1 in 1000 99.9 % 30 1 in 10000 99.99 % 40 50 1 in 100000 99.999 % 0 to 93  ASCII 33 to 126 = single character

  24. FASTQ File @SEQ_ID GATTTGGGGTTCAAAGCAGTATCGATCAAATAGTAAATCCATTTGTTC +SEQ_ID !''*((((***+))%%%++)(%%%%).1***-+*''))**55CCF>>>

  25. Alignment or Mapping of Reads R E F E R E N C E G E N O M E (HG19) G A T T A C G G T A C T T G C A T A G C T T A C G G T A C T T G C A T A chromosome + position + strand sample.bam

  26. Run QC and filtering sample.bam

  27. sortedBAM file • both reads • quality scores • chromosome • position • quality flag • duplicate flag sample.bam • off target flag

  28. Coverage T T A C G G T A C T T G C A T G G T A C T T G C A T A G C T G A T T A C G G T A C T T G C A C G G T A C T T G C A T A G T A C G G T A C T T G C A T A G A T T A C G G T A C T T G C A T A G C T 5x coverage

  29. Variant Calling A T T A C G G T G C T T G C A C G G T G C T T G C A T A G C G A T T A C G G T G C T G C A T A G C T - T T A C G G T G C T T G C A T G G T G C T T G C A T A G C T G A T T A C G G T G C T T G C A C G G T G C T T G C A T A G T A C G G T G C T T G C A T A G A T T A C G G T A C T T G C A T A G C T G = homozygous alternative

  30. Variant Calling A T T A C G G T G C T T G C A C G G T G C T T G C A T A G C G A T T A C G G T A C T G C A T A G C T - T T A C G G T A C T T G C A T G G T G C T T G C A T A G C T G A T T A C G G T A C T T G C A C G G T G C T T G C A T A G T A C G G T G C T T G C A T A G A T T A C G G T A C T T G C A T A G C T A/G = heterozygous

  31. Variant Calling G A T T A C G G T A C T T G C A C G G T G C T T G C A T A G T A C G G T G C T T G C A T A G A T T A C G G T A C T T G C A T A G C T A/G = heterozygous?

  32. Variant Calling sequencing quality poor good G A T T A C G G T A C T T G C A C G G T G C T T G C A T A G T A C G G T G C T T G C A T A G A T T A C G G T A C T T G C A T A G C T G

  33. Illumina: Normal flow cell technology MiniSeq MiSeq NextSeq500 HiSeq2500 2 x 150 b 2 x 300 b 2 x 150 b 2 x 125 b 6.6 Gb 13 Gb 100 Gb 450/900 Gb 22M clusters 22M clusters 0.4B clusters 2B/4B clusters 1 day 3 days 1 day 6 days 100k € 250k € 50k$ 700k$ 4250 $/WG 3500 $/WG

  34. Illumina: Patterned flow cell technology HiSeq4000 HiSeqX Five HiSeqX Ten NovaSeq6000 2 x 150 b 2 x 150 b 2 x 150 b 2 x 150 b 0.65/1.3 Tb 0.8/1.6 Tb 0.8/1.6 Tb 0.85/1.7 Tb 2/4 B clusters 2.5/5 B clusters 2.5/5 B clusters 2.8/5.6 B clusters 4 days 3 days 3 days 2 days 10 x 1M € 1M € 900k$ 5 x 1.2M$ 2500 $/WG 1500 $/WG 1000 $/WG 1200 $/WG

  35. Illumina: Patterned flow cell technology  Patterned flowcell  Billions of nanowells  Extreme high density  No overlapping clusters  Special polymerase?  ExAmp clustering  primer swaps

  36. • First Generation: a bit of history • Next (Second) Generation • Third Generation

  37. Next Generation: Roche 454

  38. Roche 454 • fragment DNA • clonal amplification on bead by emPCR • load beads in PicoTiterPlate • sequencing-by- synthesis

  39. Ion Torrent

  40. Ion Torrent • fragment DNA • clonal amplification on bead by emPCR • load beads on chip • sequencing-by- synthesis

  41. • First Generation: a bit of history • Next (Second) Generation • Third Generation

  42. Third generation sequencing = single molecule sequencing

  43. Third Generation: PacBio - last week update: bought by Illumina RS Sequal

  44. SMRT technology  Library prep  Circular DNA  SMRT cell

  45. PacBio • no DNA amplification • real-time imaging of DNA polymerase • sequencing-by- synthesis

  46. SMRT technology  >10kb reads  1 Gb output  Better chemistry  De novo assembly  Haplotyping  Variant calling Posted February 10, 2014 The Genomics Resource Center University of Maryland http://www.igs.umaryland.edu

  47. Oxford Nanopore

  48. Oxford Nanopore

  49. Oxford Nanopore

  50. Oxford Nanopore  6 bases in pore  6x base calling  Caller development  Community ACCCGTCCG

  51. Oxford Nanopore  High error rate, but major improvement in 2017…

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