SlideShare a Scribd company logo
High throughput SNP genotyping


               Cosentino Cristian, PhD
               Genomics and Bioinformatics unit
               Filarete Foundation – Milan
               cosentia@gmail.com
Illumina genotyping




•   Illumina BeadArray technology
•   Simultaneous genotyping of thousand to milion of loci
•   Entire genome accessible to analysis
•   Low amount of gDNA required (250 – 750 ng)
•   Automation of the protocol
•   Randomly assembled arrays (decoding process)
High throughput



The laboratory is divided in:
1. WetLab: working on biological samples
   (Biotechnologists, Technicians)
   • Pre-PCR area
   • Post-PCR area
2. DryLab: working on data analysis
   (Bioinformaticians, IT systemists, Clinicians)

[WetLab] Samples management for Genotyping:
1. Sample validation
2. Sample preparation
3. Genotyping
4. RawData evaluation
Genotyping protocols
GoldenGate:
96 samples/array and thousand of SNPs simultaneously assayed; completely cutomizable

Infinium:
2-12 samples/chip and hundred of thousand of SNPs simultaneously assayed; customizable
up to 20-30.000 ca. SNPs per sample
GoldenGate protocol   Infinium protocol




                                                      ...
                                                      ...
                                                      ...
                                                      ...
                      ... ... ... ... ... ... ... ... ...




   Optic fiber

                                                 Solid array
Whole-genome
                                                          amplification
                      PCR-based
                      amplification
Goldengate workflow




                                      Infinium workflow
Infinium overview



      DNA arrival



   Sample validation



   Sample preparation



      Genotyping



   RawData evaluation



     GWA analysis
Sample validation



                                          SAMPLE arrival                   DNA_ID arrival
                                             (Plate)                          (List)
DNA arrival


  Sample                                                   Consistency check
 validation

   Sample      Wait for sender’s           - Errors -
 preparation      feedback
                                         SAMPLE present
                                         DNA_ID missing
 Genotyping
                                         SAMPLE missing
  RawData                                DNA_ID present
 evaluation

                                         Double DNA_ID
GWA analysis



                                                            Batch validation
Sample preparation




DNA arrival               DNA extraction


  Sample
 validation             Move vials into 96
                          well plates

   Sample
 preparation
                        DNA quantification

 Genotyping
                           DNA dilution
  RawData
 evaluation
                       Quality control on gel

GWA analysis
                       Move to new fullfilled
                               plate
High throughput sample management

                                                       Tecan Liquid handler

                  DNA extraction
DNA arrival

                Move vials into 96
  Sample
                  well plates
 validation

   Sample
                DNA quantification
 preparation


 Genotyping        DNA dilution


  RawData
 evaluation    Quality control on gel


GWA analysis
               Move to new fullfilled   Usage:
                       plate            Vial-to-plate and Plate-to-plate sample movement
                                        Normalization of the sample concentration

                                        Advantages:
                                        1. Cost-saving (30’ x 2 operators vs 20’ x 1 operator/plate)
                                        2. Tracking of the sample movement (personal responsability)
High throughput sample management

                                          Multi-sample spectrophotometer

                  DNA extraction
DNA arrival

                Move vials into 96
  Sample
                  well plates
 validation

   Sample
                DNA quantification
 preparation


 Genotyping        DNA dilution


  RawData
 evaluation    Quality control on gel


GWA analysis                            Usage:
               Move to new fullfilled
                       plate            Nucleic acid quantification

                                        Advantages:
                                        1. 16 samples/run assayed
                                        2. Small sample volume used
                                        3. Quantification in standard routine
                                        4. Connection to the liquid handler normalization software
High throughput sample management

                                                   Pre-casted agarose gel

                  DNA extraction
DNA arrival

                Move vials into 96
  Sample
                  well plates
 validation

   Sample
                DNA quantification
 preparation


 Genotyping        DNA dilution


  RawData
 evaluation    Quality control on gel


GWA analysis                            Usage:
               Move to new fullfilled
                       plate            Screening of the DNA integrity

                                        Advantages:
                                        1. 48 samples/run assayed in 20’
                                        2. Standarsd screening conditions
                                        3. System copatible with TECAN liquid handler
                                        4. Barcode ID for easy data collection
Genotyping




DNA arrival


  Sample
 validation

   Sample
 preparation


 Genotyping


  RawData
 evaluation


GWA analysis
Single base extension




DNA arrival
                                  Single base extension
  Sample                          Markers: ddA, ddT, ddC, ddG
 validation

   Sample
 preparation


 Genotyping


  RawData
 evaluation


GWA analysis
Xstain




DNA arrival    BeadType
                20-30x
  Sample
 validation

   Sample
 preparation


 Genotyping


  RawData
 evaluation


GWA analysis
Genotype calling




DNA arrival


  Sample
 validation

   Sample
 preparation


 Genotyping


  RawData
 evaluation                            Detection

GWA analysis

                                       Bead color



               AA      BB        AB    Genotype
Scanning




DNA arrival


  Sample
 validation

   Sample
 preparation


 Genotyping


  RawData
 evaluation


GWA analysis
High throughput genotyping


                        BeadScan

DNA arrival    1. Autoloader for automatic non-stop
                  beadchip scanning
               2. Data directly stored to the back-up utility
  Sample       3. 1M-duo chip/3h scan
 validation    4. Max 22 chip/run


   Sample
 preparation


 Genotyping


  RawData
                             iScan
 evaluation
               1. Autoloader for automatic non-stop
                  beadchip scanning
GWA analysis   2. Data directly stored to the back-up utility
               3. 1M-duo chip/40’ scan
               4. Max 44 chip/run
High throughput genotyping




DNA arrival


  Sample
               TECAN liquid handler
 validation
               1. Automatic management of loading and
   Sample         Xstain Infinium steps
 preparation   2. Tracking of the procedures
               3. Max 96 chip/working week

 Genotyping


  RawData
 evaluation


GWA analysis
Genotype calling




DNA arrival
               Reference     RawData         GenomeStudio
                Clusters
  Sample
 validation
                           ManifestData
   Sample                                      SNP calls
 preparation                                (CallRate >0.95)

                                                                      FinalReport   Matrix:
 Genotyping                                                                         columns (param.)
                                                                      (Genotypes)
                                                                                    x raws (#DNA x
                                               Data Storage                         #SNPs)
  RawData
 evaluation                                (10 -100 Gb/project)


GWA analysis

                                                                                        GWAS:
                                                                  DryLab GWA analysis   Genotypes x
                                                                                        Phenotypes
GenomeStudio




DNA arrival


  Sample
 validation

   Sample
 preparation


 Genotyping


  RawData
 evaluation


GWA analysis
High throughput RawData evaluation

                                  Windows server

DNA arrival


  Sample
 validation

   Sample
 preparation


 Genotyping


  RawData
 evaluation

                   Usage:
GWA analysis       Genotype calling by the Illumina GenomeStudio software

                   System:
                   •   Intel Xeon X5450 3.00 GHz
                   •   8 x CPU
                   •   16 Gb RAM
                   •   3 Tb data storage capacity
Infinium beadchips roadmap
Cosentino Cristian, PhD
Genomics and Bioinformatics unit
Filarete Foundation – Milan
cosentia@gmail.com

More Related Content

What's hot

Molecular markers and Functional molecular markers
Molecular markers and Functional molecular markersMolecular markers and Functional molecular markers
Molecular markers and Functional molecular markers
Chandana B.R.
 
Analysis of Variance (ANOVA), MANOVA: Expected variance components, Random an...
Analysis of Variance (ANOVA), MANOVA: Expected variance components, Random an...Analysis of Variance (ANOVA), MANOVA: Expected variance components, Random an...
Analysis of Variance (ANOVA), MANOVA: Expected variance components, Random an...
Satish Khadia
 
Snp genotyping
Snp genotypingSnp genotyping
Snp genotyping
shivendra kumar
 
Omics for crop improvement (new)
Omics for crop improvement (new)Omics for crop improvement (new)
Omics for crop improvement (new)
Gokul Dhana
 
Magic population
Magic populationMagic population
Magic population
Balaji Thorat
 
Genotyping by Sequencing
Genotyping by SequencingGenotyping by Sequencing
Genotyping by Sequencing
Senthil Natesan
 
MARKER ASSISTED SELECTION IN CROP IMPROVEMENT
MARKER ASSISTED SELECTION IN CROP IMPROVEMENTMARKER ASSISTED SELECTION IN CROP IMPROVEMENT
MARKER ASSISTED SELECTION IN CROP IMPROVEMENT
Vinod Pawar
 
Mapping and QTL
Mapping and QTLMapping and QTL
Mapping and QTL
FAO
 
Clean gene technology
Clean gene technologyClean gene technology
Clean gene technology
SDAU agriculture university
 
Reverse Breeding: a tool to create homozygous plants from the heterozygous po...
Reverse Breeding: a tool to create homozygous plants from the heterozygous po...Reverse Breeding: a tool to create homozygous plants from the heterozygous po...
Reverse Breeding: a tool to create homozygous plants from the heterozygous po...
Sanjay Kumar
 
Successes and limitations of conventional plant breeding methods
Successes and limitations of conventional plant breeding methodsSuccesses and limitations of conventional plant breeding methods
Successes and limitations of conventional plant breeding methods
University of Ghana
 
CIMMYT breeding strategies and methodologies to breed high yielding, yellow r...
CIMMYT breeding strategies and methodologies to breed high yielding, yellow r...CIMMYT breeding strategies and methodologies to breed high yielding, yellow r...
CIMMYT breeding strategies and methodologies to breed high yielding, yellow r...
ICARDA
 
Biochemical and molecular markers for characterization
Biochemical and molecular markers for characterizationBiochemical and molecular markers for characterization
Biochemical and molecular markers for characterization
mithraa thirumalai
 
Genepyramiding for biotic resistance
Genepyramiding for biotic resistanceGenepyramiding for biotic resistance
Genepyramiding for biotic resistance
Senthil Natesan
 
Transgenic Male Sterility
Transgenic Male SterilityTransgenic Male Sterility
Transgenic Male Sterility
rajpanchal0007
 
Molecular Breeding for Development of Biofortified Maize Hybrids in India
Molecular Breeding for Development of Biofortified Maize Hybrids in IndiaMolecular Breeding for Development of Biofortified Maize Hybrids in India
Molecular Breeding for Development of Biofortified Maize Hybrids in India
CIMMYT
 
Genetic diversity analysis
Genetic diversity analysisGenetic diversity analysis
Genetic diversity analysis
AKHISHA P. A.
 
Genome editing tools in plants
Genome editing tools in plantsGenome editing tools in plants
Genome editing tools in plants
SAIMA BARKI
 
Isolation of promoters and other regularly elements
Isolation of promoters and other regularly elementsIsolation of promoters and other regularly elements
Isolation of promoters and other regularly elements
Sachin Ekatpure
 

What's hot (20)

Molecular markers and Functional molecular markers
Molecular markers and Functional molecular markersMolecular markers and Functional molecular markers
Molecular markers and Functional molecular markers
 
Analysis of Variance (ANOVA), MANOVA: Expected variance components, Random an...
Analysis of Variance (ANOVA), MANOVA: Expected variance components, Random an...Analysis of Variance (ANOVA), MANOVA: Expected variance components, Random an...
Analysis of Variance (ANOVA), MANOVA: Expected variance components, Random an...
 
Snp genotyping
Snp genotypingSnp genotyping
Snp genotyping
 
Omics for crop improvement (new)
Omics for crop improvement (new)Omics for crop improvement (new)
Omics for crop improvement (new)
 
Magic population
Magic populationMagic population
Magic population
 
Genotyping by Sequencing
Genotyping by SequencingGenotyping by Sequencing
Genotyping by Sequencing
 
MARKER ASSISTED SELECTION IN CROP IMPROVEMENT
MARKER ASSISTED SELECTION IN CROP IMPROVEMENTMARKER ASSISTED SELECTION IN CROP IMPROVEMENT
MARKER ASSISTED SELECTION IN CROP IMPROVEMENT
 
Molecular marker
Molecular markerMolecular marker
Molecular marker
 
Mapping and QTL
Mapping and QTLMapping and QTL
Mapping and QTL
 
Clean gene technology
Clean gene technologyClean gene technology
Clean gene technology
 
Reverse Breeding: a tool to create homozygous plants from the heterozygous po...
Reverse Breeding: a tool to create homozygous plants from the heterozygous po...Reverse Breeding: a tool to create homozygous plants from the heterozygous po...
Reverse Breeding: a tool to create homozygous plants from the heterozygous po...
 
Successes and limitations of conventional plant breeding methods
Successes and limitations of conventional plant breeding methodsSuccesses and limitations of conventional plant breeding methods
Successes and limitations of conventional plant breeding methods
 
CIMMYT breeding strategies and methodologies to breed high yielding, yellow r...
CIMMYT breeding strategies and methodologies to breed high yielding, yellow r...CIMMYT breeding strategies and methodologies to breed high yielding, yellow r...
CIMMYT breeding strategies and methodologies to breed high yielding, yellow r...
 
Biochemical and molecular markers for characterization
Biochemical and molecular markers for characterizationBiochemical and molecular markers for characterization
Biochemical and molecular markers for characterization
 
Genepyramiding for biotic resistance
Genepyramiding for biotic resistanceGenepyramiding for biotic resistance
Genepyramiding for biotic resistance
 
Transgenic Male Sterility
Transgenic Male SterilityTransgenic Male Sterility
Transgenic Male Sterility
 
Molecular Breeding for Development of Biofortified Maize Hybrids in India
Molecular Breeding for Development of Biofortified Maize Hybrids in IndiaMolecular Breeding for Development of Biofortified Maize Hybrids in India
Molecular Breeding for Development of Biofortified Maize Hybrids in India
 
Genetic diversity analysis
Genetic diversity analysisGenetic diversity analysis
Genetic diversity analysis
 
Genome editing tools in plants
Genome editing tools in plantsGenome editing tools in plants
Genome editing tools in plants
 
Isolation of promoters and other regularly elements
Isolation of promoters and other regularly elementsIsolation of promoters and other regularly elements
Isolation of promoters and other regularly elements
 

Viewers also liked

infinium-xt-booklet-web
infinium-xt-booklet-webinfinium-xt-booklet-web
infinium-xt-booklet-webCarolyn Gordon
 
The wheat genome sequence: a foundation for accelerating improvment of bread ...
The wheat genome sequence: a foundation for accelerating improvment of bread ...The wheat genome sequence: a foundation for accelerating improvment of bread ...
The wheat genome sequence: a foundation for accelerating improvment of bread ...
Borlaug Global Rust Initiative
 
Structural genomics
Structural genomicsStructural genomics
Structural genomics
Vaibhav Maurya
 
Genotyping in Breeding programs
Genotyping in Breeding programsGenotyping in Breeding programs
Genotyping in Breeding programs
International Institute of Tropical Agriculture
 
Comparative genomics presentation
Comparative genomics presentationComparative genomics presentation
Comparative genomics presentation
Emmanuel Aguon
 
What is comparative genomics
What is comparative genomicsWhat is comparative genomics
What is comparative genomics
Usman Arshad
 
SNP Genotyping Technologies
SNP Genotyping TechnologiesSNP Genotyping Technologies
SNP Genotyping Technologies
SivamaniBalasubramaniam
 
Single Nucleotide Polymorphism Genotyping Using Kompetitive Allele Specific ...
Single Nucleotide Polymorphism Genotyping Using Kompetitive Allele Specific ...Single Nucleotide Polymorphism Genotyping Using Kompetitive Allele Specific ...
Single Nucleotide Polymorphism Genotyping Using Kompetitive Allele Specific ...
MANGLAM ARYA
 
Connected Agricultural services and internet of things..
Connected Agricultural services and internet of things..Connected Agricultural services and internet of things..
Connected Agricultural services and internet of things..
Atul Khiste
 

Viewers also liked (9)

infinium-xt-booklet-web
infinium-xt-booklet-webinfinium-xt-booklet-web
infinium-xt-booklet-web
 
The wheat genome sequence: a foundation for accelerating improvment of bread ...
The wheat genome sequence: a foundation for accelerating improvment of bread ...The wheat genome sequence: a foundation for accelerating improvment of bread ...
The wheat genome sequence: a foundation for accelerating improvment of bread ...
 
Structural genomics
Structural genomicsStructural genomics
Structural genomics
 
Genotyping in Breeding programs
Genotyping in Breeding programsGenotyping in Breeding programs
Genotyping in Breeding programs
 
Comparative genomics presentation
Comparative genomics presentationComparative genomics presentation
Comparative genomics presentation
 
What is comparative genomics
What is comparative genomicsWhat is comparative genomics
What is comparative genomics
 
SNP Genotyping Technologies
SNP Genotyping TechnologiesSNP Genotyping Technologies
SNP Genotyping Technologies
 
Single Nucleotide Polymorphism Genotyping Using Kompetitive Allele Specific ...
Single Nucleotide Polymorphism Genotyping Using Kompetitive Allele Specific ...Single Nucleotide Polymorphism Genotyping Using Kompetitive Allele Specific ...
Single Nucleotide Polymorphism Genotyping Using Kompetitive Allele Specific ...
 
Connected Agricultural services and internet of things..
Connected Agricultural services and internet of things..Connected Agricultural services and internet of things..
Connected Agricultural services and internet of things..
 

Similar to High throughput genotyping

Automated Solutions for working with DNA/RNA
Automated Solutions for working with DNA/RNAAutomated Solutions for working with DNA/RNA
Automated Solutions for working with DNA/RNALuc Van Laer
 
Digital PCR for soybean GMO detection on the OpenArray Platform: a case study...
Digital PCR for soybean GMO detection on the OpenArray Platform: a case study...Digital PCR for soybean GMO detection on the OpenArray Platform: a case study...
Digital PCR for soybean GMO detection on the OpenArray Platform: a case study...
Thermo Fisher Scientific
 
Día 19 - Noel Chen - Introducción a Novogene
Día 19 - Noel Chen - Introducción a Novogene Día 19 - Noel Chen - Introducción a Novogene
Día 19 - Noel Chen - Introducción a Novogene
Alejandro Borges
 
Creating Better Gene-Edited Cell Lines with the FAST-HDR System
Creating Better Gene-Edited Cell Lines with the FAST-HDR SystemCreating Better Gene-Edited Cell Lines with the FAST-HDR System
Creating Better Gene-Edited Cell Lines with the FAST-HDR System
InsideScientific
 
Evaluation of the impact of error correction algorithms on SNP calling.
Evaluation of the impact of error correction algorithms on SNP calling.Evaluation of the impact of error correction algorithms on SNP calling.
Evaluation of the impact of error correction algorithms on SNP calling.
Nathan Olson
 
Whole Genome Amplification from Single Cell
Whole Genome Amplification from Single CellWhole Genome Amplification from Single Cell
Whole Genome Amplification from Single Cell
QIAGEN
 
Step by Step, from Liquid Biopsy to a Genomic Biomarker: Liquid Biopsy Series...
Step by Step, from Liquid Biopsy to a Genomic Biomarker: Liquid Biopsy Series...Step by Step, from Liquid Biopsy to a Genomic Biomarker: Liquid Biopsy Series...
Step by Step, from Liquid Biopsy to a Genomic Biomarker: Liquid Biopsy Series...
QIAGEN
 
2012 10-24 - ngs webinar
2012 10-24 - ngs webinar2012 10-24 - ngs webinar
2012 10-24 - ngs webinarElsa von Licy
 
2013 02-14 - ngs webinar - sellappan
2013 02-14 - ngs webinar - sellappan2013 02-14 - ngs webinar - sellappan
2013 02-14 - ngs webinar - sellappanElsa von Licy
 
Preclinical Scale Bioprocessing, Nov. 2, 2009
Preclinical Scale Bioprocessing, Nov. 2, 2009Preclinical Scale Bioprocessing, Nov. 2, 2009
Preclinical Scale Bioprocessing, Nov. 2, 2009David Bienvenue
 
Experimentos de nubes científicas: Medical Genome Project
Experimentos de nubes científicas: Medical Genome ProjectExperimentos de nubes científicas: Medical Genome Project
Experimentos de nubes científicas: Medical Genome Project
Fundación Ramón Areces
 
Next-generation genomics: an integrative approach
Next-generation genomics: an integrative approachNext-generation genomics: an integrative approach
Next-generation genomics: an integrative approachHong ChangBum
 
Dario Lijtmaer - DNA extraction
Dario Lijtmaer - DNA extractionDario Lijtmaer - DNA extraction
Dario Lijtmaer - DNA extraction
Consortium for the Barcode of Life (CBOL)
 
Achieve Complete Coverage of the SARS-CoV-2 Genome
Achieve Complete Coverage of the SARS-CoV-2 GenomeAchieve Complete Coverage of the SARS-CoV-2 Genome
Achieve Complete Coverage of the SARS-CoV-2 Genome
Camille Cappello
 
20160219 - S. De Toffol - Dal Sanger al NGS nello studio delle mutazioni BRCA
20160219 - S. De Toffol -  Dal Sanger al NGS nello studio delle mutazioni BRCA �20160219 - S. De Toffol -  Dal Sanger al NGS nello studio delle mutazioni BRCA �
20160219 - S. De Toffol - Dal Sanger al NGS nello studio delle mutazioni BRCA
Roberto Scarafia
 
Identity testing by NGS as a means of risk mitigation for viral gene therapies
Identity testing by NGS as a means of risk mitigation for viral gene therapiesIdentity testing by NGS as a means of risk mitigation for viral gene therapies
Identity testing by NGS as a means of risk mitigation for viral gene therapies
Merck Life Sciences
 
Identity testing by NGS as a means of risk mitigation for viral gene therapies
Identity testing by NGS as a means of risk mitigation for viral gene therapiesIdentity testing by NGS as a means of risk mitigation for viral gene therapies
Identity testing by NGS as a means of risk mitigation for viral gene therapies
MilliporeSigma
 

Similar to High throughput genotyping (20)

Automated Solutions for working with DNA/RNA
Automated Solutions for working with DNA/RNAAutomated Solutions for working with DNA/RNA
Automated Solutions for working with DNA/RNA
 
Digital PCR for soybean GMO detection on the OpenArray Platform: a case study...
Digital PCR for soybean GMO detection on the OpenArray Platform: a case study...Digital PCR for soybean GMO detection on the OpenArray Platform: a case study...
Digital PCR for soybean GMO detection on the OpenArray Platform: a case study...
 
Día 19 - Noel Chen - Introducción a Novogene
Día 19 - Noel Chen - Introducción a Novogene Día 19 - Noel Chen - Introducción a Novogene
Día 19 - Noel Chen - Introducción a Novogene
 
Making smarter choices on c dna clones
Making smarter choices on c dna clonesMaking smarter choices on c dna clones
Making smarter choices on c dna clones
 
Biotech autumn2012-02-ngs2
Biotech autumn2012-02-ngs2Biotech autumn2012-02-ngs2
Biotech autumn2012-02-ngs2
 
Creating Better Gene-Edited Cell Lines with the FAST-HDR System
Creating Better Gene-Edited Cell Lines with the FAST-HDR SystemCreating Better Gene-Edited Cell Lines with the FAST-HDR System
Creating Better Gene-Edited Cell Lines with the FAST-HDR System
 
Ngs webinar 2013
Ngs webinar 2013Ngs webinar 2013
Ngs webinar 2013
 
Evaluation of the impact of error correction algorithms on SNP calling.
Evaluation of the impact of error correction algorithms on SNP calling.Evaluation of the impact of error correction algorithms on SNP calling.
Evaluation of the impact of error correction algorithms on SNP calling.
 
Whole Genome Amplification from Single Cell
Whole Genome Amplification from Single CellWhole Genome Amplification from Single Cell
Whole Genome Amplification from Single Cell
 
Step by Step, from Liquid Biopsy to a Genomic Biomarker: Liquid Biopsy Series...
Step by Step, from Liquid Biopsy to a Genomic Biomarker: Liquid Biopsy Series...Step by Step, from Liquid Biopsy to a Genomic Biomarker: Liquid Biopsy Series...
Step by Step, from Liquid Biopsy to a Genomic Biomarker: Liquid Biopsy Series...
 
2012 10-24 - ngs webinar
2012 10-24 - ngs webinar2012 10-24 - ngs webinar
2012 10-24 - ngs webinar
 
2013 02-14 - ngs webinar - sellappan
2013 02-14 - ngs webinar - sellappan2013 02-14 - ngs webinar - sellappan
2013 02-14 - ngs webinar - sellappan
 
Preclinical Scale Bioprocessing, Nov. 2, 2009
Preclinical Scale Bioprocessing, Nov. 2, 2009Preclinical Scale Bioprocessing, Nov. 2, 2009
Preclinical Scale Bioprocessing, Nov. 2, 2009
 
Experimentos de nubes científicas: Medical Genome Project
Experimentos de nubes científicas: Medical Genome ProjectExperimentos de nubes científicas: Medical Genome Project
Experimentos de nubes científicas: Medical Genome Project
 
Next-generation genomics: an integrative approach
Next-generation genomics: an integrative approachNext-generation genomics: an integrative approach
Next-generation genomics: an integrative approach
 
Dario Lijtmaer - DNA extraction
Dario Lijtmaer - DNA extractionDario Lijtmaer - DNA extraction
Dario Lijtmaer - DNA extraction
 
Achieve Complete Coverage of the SARS-CoV-2 Genome
Achieve Complete Coverage of the SARS-CoV-2 GenomeAchieve Complete Coverage of the SARS-CoV-2 Genome
Achieve Complete Coverage of the SARS-CoV-2 Genome
 
20160219 - S. De Toffol - Dal Sanger al NGS nello studio delle mutazioni BRCA
20160219 - S. De Toffol -  Dal Sanger al NGS nello studio delle mutazioni BRCA �20160219 - S. De Toffol -  Dal Sanger al NGS nello studio delle mutazioni BRCA �
20160219 - S. De Toffol - Dal Sanger al NGS nello studio delle mutazioni BRCA
 
Identity testing by NGS as a means of risk mitigation for viral gene therapies
Identity testing by NGS as a means of risk mitigation for viral gene therapiesIdentity testing by NGS as a means of risk mitigation for viral gene therapies
Identity testing by NGS as a means of risk mitigation for viral gene therapies
 
Identity testing by NGS as a means of risk mitigation for viral gene therapies
Identity testing by NGS as a means of risk mitigation for viral gene therapiesIdentity testing by NGS as a means of risk mitigation for viral gene therapies
Identity testing by NGS as a means of risk mitigation for viral gene therapies
 

Recently uploaded

Operation Blue Star - Saka Neela Tara
Operation Blue Star   -  Saka Neela TaraOperation Blue Star   -  Saka Neela Tara
Operation Blue Star - Saka Neela Tara
Balvir Singh
 
Model Attribute Check Company Auto Property
Model Attribute  Check Company Auto PropertyModel Attribute  Check Company Auto Property
Model Attribute Check Company Auto Property
Celine George
 
The geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideasThe geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideas
GeoBlogs
 
How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...
Jisc
 
Lapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdfLapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdf
Jean Carlos Nunes Paixão
 
The approach at University of Liverpool.pptx
The approach at University of Liverpool.pptxThe approach at University of Liverpool.pptx
The approach at University of Liverpool.pptx
Jisc
 
Chapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptxChapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptx
Mohd Adib Abd Muin, Senior Lecturer at Universiti Utara Malaysia
 
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdfAdversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Po-Chuan Chen
 
Digital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and ResearchDigital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and Research
Vikramjit Singh
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
Delapenabediema
 
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
EugeneSaldivar
 
Language Across the Curriculm LAC B.Ed.
Language Across the  Curriculm LAC B.Ed.Language Across the  Curriculm LAC B.Ed.
Language Across the Curriculm LAC B.Ed.
Atul Kumar Singh
 
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXXPhrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
MIRIAMSALINAS13
 
"Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe..."Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe...
SACHIN R KONDAGURI
 
Palestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxPalestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptx
RaedMohamed3
 
Guidance_and_Counselling.pdf B.Ed. 4th Semester
Guidance_and_Counselling.pdf B.Ed. 4th SemesterGuidance_and_Counselling.pdf B.Ed. 4th Semester
Guidance_and_Counselling.pdf B.Ed. 4th Semester
Atul Kumar Singh
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
MysoreMuleSoftMeetup
 
Introduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp NetworkIntroduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp Network
TechSoup
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
Jisc
 
1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx
JosvitaDsouza2
 

Recently uploaded (20)

Operation Blue Star - Saka Neela Tara
Operation Blue Star   -  Saka Neela TaraOperation Blue Star   -  Saka Neela Tara
Operation Blue Star - Saka Neela Tara
 
Model Attribute Check Company Auto Property
Model Attribute  Check Company Auto PropertyModel Attribute  Check Company Auto Property
Model Attribute Check Company Auto Property
 
The geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideasThe geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideas
 
How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...
 
Lapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdfLapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdf
 
The approach at University of Liverpool.pptx
The approach at University of Liverpool.pptxThe approach at University of Liverpool.pptx
The approach at University of Liverpool.pptx
 
Chapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptxChapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptx
 
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdfAdversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
 
Digital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and ResearchDigital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and Research
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
 
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
 
Language Across the Curriculm LAC B.Ed.
Language Across the  Curriculm LAC B.Ed.Language Across the  Curriculm LAC B.Ed.
Language Across the Curriculm LAC B.Ed.
 
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXXPhrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
 
"Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe..."Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe...
 
Palestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxPalestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptx
 
Guidance_and_Counselling.pdf B.Ed. 4th Semester
Guidance_and_Counselling.pdf B.Ed. 4th SemesterGuidance_and_Counselling.pdf B.Ed. 4th Semester
Guidance_and_Counselling.pdf B.Ed. 4th Semester
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
 
Introduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp NetworkIntroduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp Network
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
 
1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx
 

High throughput genotyping

  • 1. High throughput SNP genotyping Cosentino Cristian, PhD Genomics and Bioinformatics unit Filarete Foundation – Milan cosentia@gmail.com
  • 2. Illumina genotyping • Illumina BeadArray technology • Simultaneous genotyping of thousand to milion of loci • Entire genome accessible to analysis • Low amount of gDNA required (250 – 750 ng) • Automation of the protocol • Randomly assembled arrays (decoding process)
  • 3. High throughput The laboratory is divided in: 1. WetLab: working on biological samples (Biotechnologists, Technicians) • Pre-PCR area • Post-PCR area 2. DryLab: working on data analysis (Bioinformaticians, IT systemists, Clinicians) [WetLab] Samples management for Genotyping: 1. Sample validation 2. Sample preparation 3. Genotyping 4. RawData evaluation
  • 4. Genotyping protocols GoldenGate: 96 samples/array and thousand of SNPs simultaneously assayed; completely cutomizable Infinium: 2-12 samples/chip and hundred of thousand of SNPs simultaneously assayed; customizable up to 20-30.000 ca. SNPs per sample
  • 5. GoldenGate protocol Infinium protocol ... ... ... ... ... ... ... ... ... ... ... ... ... Optic fiber Solid array
  • 6. Whole-genome amplification PCR-based amplification Goldengate workflow Infinium workflow
  • 7. Infinium overview DNA arrival Sample validation Sample preparation Genotyping RawData evaluation GWA analysis
  • 8. Sample validation SAMPLE arrival DNA_ID arrival (Plate) (List) DNA arrival Sample Consistency check validation Sample Wait for sender’s - Errors - preparation feedback SAMPLE present DNA_ID missing Genotyping SAMPLE missing RawData DNA_ID present evaluation Double DNA_ID GWA analysis Batch validation
  • 9. Sample preparation DNA arrival DNA extraction Sample validation Move vials into 96 well plates Sample preparation DNA quantification Genotyping DNA dilution RawData evaluation Quality control on gel GWA analysis Move to new fullfilled plate
  • 10. High throughput sample management Tecan Liquid handler DNA extraction DNA arrival Move vials into 96 Sample well plates validation Sample DNA quantification preparation Genotyping DNA dilution RawData evaluation Quality control on gel GWA analysis Move to new fullfilled Usage: plate Vial-to-plate and Plate-to-plate sample movement Normalization of the sample concentration Advantages: 1. Cost-saving (30’ x 2 operators vs 20’ x 1 operator/plate) 2. Tracking of the sample movement (personal responsability)
  • 11. High throughput sample management Multi-sample spectrophotometer DNA extraction DNA arrival Move vials into 96 Sample well plates validation Sample DNA quantification preparation Genotyping DNA dilution RawData evaluation Quality control on gel GWA analysis Usage: Move to new fullfilled plate Nucleic acid quantification Advantages: 1. 16 samples/run assayed 2. Small sample volume used 3. Quantification in standard routine 4. Connection to the liquid handler normalization software
  • 12. High throughput sample management Pre-casted agarose gel DNA extraction DNA arrival Move vials into 96 Sample well plates validation Sample DNA quantification preparation Genotyping DNA dilution RawData evaluation Quality control on gel GWA analysis Usage: Move to new fullfilled plate Screening of the DNA integrity Advantages: 1. 48 samples/run assayed in 20’ 2. Standarsd screening conditions 3. System copatible with TECAN liquid handler 4. Barcode ID for easy data collection
  • 13. Genotyping DNA arrival Sample validation Sample preparation Genotyping RawData evaluation GWA analysis
  • 14. Single base extension DNA arrival Single base extension Sample Markers: ddA, ddT, ddC, ddG validation Sample preparation Genotyping RawData evaluation GWA analysis
  • 15. Xstain DNA arrival BeadType 20-30x Sample validation Sample preparation Genotyping RawData evaluation GWA analysis
  • 16. Genotype calling DNA arrival Sample validation Sample preparation Genotyping RawData evaluation Detection GWA analysis Bead color AA BB AB Genotype
  • 17. Scanning DNA arrival Sample validation Sample preparation Genotyping RawData evaluation GWA analysis
  • 18. High throughput genotyping BeadScan DNA arrival 1. Autoloader for automatic non-stop beadchip scanning 2. Data directly stored to the back-up utility Sample 3. 1M-duo chip/3h scan validation 4. Max 22 chip/run Sample preparation Genotyping RawData iScan evaluation 1. Autoloader for automatic non-stop beadchip scanning GWA analysis 2. Data directly stored to the back-up utility 3. 1M-duo chip/40’ scan 4. Max 44 chip/run
  • 19. High throughput genotyping DNA arrival Sample TECAN liquid handler validation 1. Automatic management of loading and Sample Xstain Infinium steps preparation 2. Tracking of the procedures 3. Max 96 chip/working week Genotyping RawData evaluation GWA analysis
  • 20. Genotype calling DNA arrival Reference RawData GenomeStudio Clusters Sample validation ManifestData Sample SNP calls preparation (CallRate >0.95) FinalReport Matrix: Genotyping columns (param.) (Genotypes) x raws (#DNA x Data Storage #SNPs) RawData evaluation (10 -100 Gb/project) GWA analysis GWAS: DryLab GWA analysis Genotypes x Phenotypes
  • 21. GenomeStudio DNA arrival Sample validation Sample preparation Genotyping RawData evaluation GWA analysis
  • 22. High throughput RawData evaluation Windows server DNA arrival Sample validation Sample preparation Genotyping RawData evaluation Usage: GWA analysis Genotype calling by the Illumina GenomeStudio software System: • Intel Xeon X5450 3.00 GHz • 8 x CPU • 16 Gb RAM • 3 Tb data storage capacity
  • 24. Cosentino Cristian, PhD Genomics and Bioinformatics unit Filarete Foundation – Milan cosentia@gmail.com