SlideShare ist ein Scribd-Unternehmen logo
1 von 33
Utility of Molecular Diagnostics in 
clinical decision making 
Nikhil Phadke, PhD 
GenePath Dx, Pune, India 
This presentation is the property of
This presentation is the property of 
Learning Objectives 
1. Be familiar with next generation molecular diagnostic 
techniques that can provide guidance in clinical 
decision making 
2. Identify the utility of these diagnostic approaches 
with some examples 
3. Be aware of the challenges that exist in 
implementing these tools as part of the routine 
clinical decision making process, especially in 
resource limited settings
This presentation is the property of 
The Basics
This presentation is the property of 
mt 
16.6 Kb 
37 
1013 cells 
Our DNA 
Haploid Human Genome 
~ 3.09 * 109 bp 
Distributed in 23 
chromosomes & mitochondria 
Coding regions ~ 2% 
(85% of all known mutations) 
Total Genes 25,000 - 45,000 
(Histone 500bp – Dystrophin 2.2 Mbp)
This presentation is the property of 
Where can things go wrong? 
What do we need to detect? 
Analogy (using plain English) 
♀THE DOG BIT THE CAT | THE CAT ATE THE RAT 
♂THE DOG BIT THE CAT | THE CAT ATE THE RAT 
Presence and quantification of foreign nucleic acids (e.g. 
infectious agents like viruses and bacteria) 
COW EGG PIG ASS 
Single nucleotide polymorphisms (SNPs) (e.g. Sickle Cell 
Anemia) 
THA DOG BIT THE CAT 
THE DOG BIT THE BAT 
Insertions / Deletions (InDels) & Nucleotide Repeat 
Polymorphisms – can cause frameshifts (e.g. Fragile X, 
Huntingtons Disease) 
THE EDO GBI TTH ECA T 
THD OGB ITT HEC AT 
Copy number variations (CNVs) e.g. (Deletion, 
Duplications such as Her2 amplification in some Breast 
Cancers) 
THE DOG BIT THE CAT THE DOG BIT THE CAT 
THE DOG DOG BIT THE CAT 
OR 
THE BIT THE CAT 
Inversions (e.g. Factor VIII Haemophilia) THE GOD BIT THE CAT 
TAC EHT TIB GOD EHT 
Translocations (e.g. chronic myelogenous leukemia - CML 
Philadelphia chromosome 22 & 9 translocation causes 
BCR-ABL fusion) 
THE DOG BIT THE CAT ATE THE RAT 
THE CAT ATE THE DOG BIT 
Loss of Heterozygosity (LoH) (e.g. retinoblatoma) / 
Uniparental Disomy (e.g. Prader Willi Syndrome) 
THE DOG BIT THE CAT 
THE DOG BIT THE CAT 
THE DOG BIT THE CAT
How do we detect these anomalies? 
This presentation is the property of 
Analysis scope 
Single/ Few 
Defined 
Variations 
Multiple/ 
Unknown 
Variations 
Cytogenetics Molecular Genetics 
FISH 
Karyotyping 
(& Spectral) 
(digital) PCR 
SNaPshot 
Sanger 
Sequencing 
MLPA 
dHPLC/ HRM 
Microarrays 
Next Generation 
Sequencing 
Low resolution High resolution 
M-FISH
The evolution of sequencing technologies 
1970s 80s and 90s 2000s 2010s 
This presentation is the property of
Traditional Capillary/Sanger Sequencing 
Chromatogram 
+ - 
Shorter Longer 
fragments fragments 
This presentation is the property of 
Nucleotides dA dT dG dC, 
ddA ddT ddG ddC 
Polymerase 
Sequence X-X-X-T-T-G-S-T-A-T 
Complementary Template Y-Y-Y-A-A-C-W-A-T-A 
Primer X-X-X 
X-X-X-T 
Synthesized X-X-X-T-T 
labeled DNA X-X-X-T-T-G 
fragments X-X-X-T-T-G-C 
X-X-X-T-T-G-G 
X-X-X-T-T-G-C-T 
X-X-X-T-T-G-C-T-A 
X-X-X-T-T-G-C-T-A-T 
X-X-X-T 
X-X-X-T-T 
X-X-X-T-T-G 
X-X-X-T-T-G-C 
X-X-X-T-T-G-G 
X-X-X- 
T-T-G-C-T 
X-X-X-T-T-G-C- 
T-A 
X-X-X- 
T-T-G-C-T-A-T 
Capillary Electrophoretic 
Separation 
Sequencing Reaction
Pros and Cons of Capillary Sequencing 
- Slow, limited throughput 
- Expensive (per base) 
- Limited sensitivity 
- Not ideal for multiplexing 
- Not ideal for multigenic or 
large gene analyses 
This presentation is the property of 
 Gold standard 
 Relatively long reads (700 - 
1000 nucleotides) 
 Nobel Prize for Fred Sanger 
in 1980 
 Used for Human Genome 
Project (3000 scientists, multiple 
centers, 6 countries, over 13 
years, cost US$ ~ 3B)
Next (2nd) generation sequencing (NGS) 
This presentation is the property of 
Library Preparation 
Data Capture & 
Data Analysis 
Fragmentation / 
Targeted Amplification 
Addition of Priming & 
Multiplexing adapters 
Massively 
Parallel Sequencing 
by Synthesis 
Clonal amplification 
(Emulsion/Bridge PCR)
Single molecule (3rd gen) sequencing 
Single Molecule Real Time Nanopore Sequencing 
This presentation is the property of 
Sequencing 
dA dT 
dG dC 
Zero-mode 
Waveguide 
Labeled 
nucleotides 
Anchored 
Polymerase 
Detection of incorporated 
polymerase at base of ZMV 
DNA 
unwound, 
ratcheted 
through 
protein 
graphene 
nanopore 
Nucleotide detected 
based on conductivity
Clinical applications of NGS 
• Sequencing: de novo genome, resequencing, exome, 
targeted, transcriptome profiling, metagenome analysis 
• Large genes / multiple genes / multiple samples 
• Ultra-deep sequencing for rare mutations and circulating 
nucleic acids (e.g. plasma tumor DNA and maternal DNA for 
non-invasive prenatal diagnosis) 
This presentation is the property of
Digital PCR – An evolution of PCR 
Conventional PCR Real-time PCR Digital PCR 
Real time detection in 
closed system 
High Low 
This presentation is the property of 
Temp 
Thermal cycling 
Post PCR gel 
electrophoretic analysis 
Fluorescence 
Cycles 
Negative 
End-point detection 
of droplets 
+ - 
+ 
- 
+ 
+ 
+ 
+ 
+ 
+ 
- 
+ 
dA dT dG dC Polymerase + Primers dA dT dG dC 
+ (Probes) + 
Nucleotides + Target; 
Individual Target DNA 
physically separated 
Polymerase + Primers 
+ (Probes) + 
Nucleotides + Target 
in a 
Homogenous system
Some Examples 
This presentation is the property of
Molecular diagnostics across medical disciplines 
This presentation is the property of 
Pathogen 
identification 
e.g. MTB 
Pathogen 
quantification 
e.g. HIV load 
Drug 
resistance 
status e.g. 
MRSA 
Predictive testing 
e.g. BRCA1/2 
Companion 
diagnostics e.g. 
EGFR, HER2 
Disease 
monitoring e.g. 
BCR-ABL 
Prognostic testing 
e.g. ‘OncotypeDx’ 
e.g. Neonatal 
Diabetes, 
Congenital 
Adrenal 
Hyperplasia and 
Prader Willi 
Syndrome 
Transplantation 
e.g. HLA typing 
and chimerism 
monitoring 
Blood disorders 
e.g. 
Thalassemia 
and DVT 
e.g. Trisomy 21 
testing by 
amniocentesis, 
CVS, or NIPD 
Infectious 
Diseases 
Endocrinology 
Hematology 
Identity 
Prenatal 
Testing 
Oncology
The utility of BRCA testing 
1. Modify surveillance options 
2. Suggest risk reduction measures 
3. Provide treatment guidance 
4. Understand risk to other family members 
5. Potential for pre-implantation diagnostics (PIGD) 
This presentation is the property of
BRCA Testing in India in 2012 (Sanger Seq) 
58 year old female diagnosed with Breast Cancer with 
family history of HBOC; common Indian mutations 
tested 
This presentation is the property of 
BRCA1 Exon 2 185del AG 
BRCA1 Exon 8 632 dupT 
BRCA1 Exon 12 IVS17+1, G>A, 5154delC 
BRCA2 Exon 9 IVS8-2, A>G(c.682-2 A>G) 
BRCA2 Exon 25 W3127X 
All negative. Results inconclusive
BRCA Testing in India in 2014 (NGS Panel) 
High penetrance breast cancer susceptibility genes 
BRCA1, BRCA2, TP53, PTEN, STK11, CDH1 
Moderate susceptibility breast cancer genes: 
ATM, CHEK2, PALB2, BRIP1, NBN, RAD51C, RAD51D 
This presentation is the property of 
Other genes in the panel: 
MEN1, CDC73, DICER1, MUTYH, NF2, MSH2, BMPR1A, APC, KIT, RET, SMAD4, 
RB1, VHL, EPCAM, ALK, CDK4, AIP, MSH6, MET, MLH1, SDHAF2, SDHB, SDHD, 
SDHC, SUFU, WT1, TSC2, TSC1, PMS2. 
Pathogenic frameshift BRCA1 Mutation Detected c.933_933delT
Genetic testing in Neonatal Diabetes 
• ATP-sensitive potassium channel (KATP) consists of two 
subunits - SUR1 (ABCC8 – 4000bp) and Kir6.2 (KCNJ11 – 
84000bp). 
• Multiple mutations in these genes are implicated in Neonatal 
Diabetes (NDM); for some mutations, normal activity can be 
restored with Sulfonylurea drugs 
K+ K+ K+ 
This presentation is the property of 
Kir6.2 (KCNJ11) 
Membrane 
 Glucose   ATP 
SIR1 (ABCC8) 
Sulfonylurea 
Normal Insulin Decreased Insulin (hyperglycemia) Normalized Insulin
Sanger Sequencing of KCNJ11 & ABCC8 
Loss of 
function/inactivatin 
g G111R 
causing recessively 
inherited congenital 
hyperinsulinism 
(inherited from 
asymptomatic 
father) 
Gain of function 
R826W causing 
This presentation is the property of 
transient 
neonatal 
diabetes 
(inherited from 
asymptomatic 
mother) 
• One month old baby with NDM 
(very high sugar) 
• Initially managed with 2 insulin 
injections per day 
• Sanger Sequencing 
• Detected two missense mutations 
in ABCC8 gene G111R and 
R826W 
• Switched to oral sulfonylurea 
(glibenclamide). Responded well
NGS Panel for Neonatal Diabetes 
• Sanger sequencing of ABCC8 and KCNJ11 is laborious, 
expensive (~ $2000) and requires long turn-around times 
• Cases of suspected NDM with no detected mutations in 
This presentation is the property of 
ABCC8 and KCNJ11 
• Development of NGS panel with several additional genes 
involved in neonatal diabetes/hyperinsulinism 
ABCC8 KCNJ11 GLUD1 GCK HADH INS HNF1A HNF4A HNF1B INS PDX1 
PTF1A NEUROD1 NEUROG3 RFX6 EIF2AK3 FOXP3 GLIS3 SLC19A2 SLC2A2 
IER3IP1 ZFP57 WFS1 GATA6 GATA4 CEL PAX4 BLK KLF11 LMNA PPARG 
• Panel has allowed for relatively rapid and cheaper testing for 
NDM and detection of new mutations in ABCC8, EIF2AK3, 
GATA6, GCK, PDX1, SLC19A2
EGFR mutations in Lung Cancer 
• Epidermal growth factor receptor (EGFR) can be mutated in 
certain Non Small Cell Lung Cancers (NSCLC) and other 
cancers 
• Tyrosine kinase inhibitors (TKIs) (Gefitinib and Erlotinib) can 
act on some mutated forms of EGFR 
• Mutations usually detected from formalin fixed paraffin 
embedded (FFPE) blocks by Sanger Sequencing or PCR 
based methods 
• Sanger sequencing has limited (~ 20%) sensitivity 
• PCR methods need you to know the mutations a priori 
This presentation is the property of
EGFR mutations by NGS 
• Ultra-deep sequencing of EGFR from FFPE samples can 
detect mutations at sensitivities up to 0.1% 
• Somatic mutation NGS panels can be used to detect 
mutations not just in the hotspots of certain genes, but over 
entire sequences of multiple genes (e.g. KRAS, NRAS, 
BRAF) 
• Research projects underway to determine the clinical 
relevance of EGFR mutations detected from circulating tumor 
DNA in plasma 
This presentation is the property of
BCR-ABL1 Fusions in CML 
• Chronic Myelogenous Leukemia characterized by reciprocal 
translocation of chromosomes 9 & 22 resulting in the 
Philadelphia chromosome 
• Fusion of Abelson (ABL1) proto-oncogene on chr 9 with the 
breakpoint cluster region gene (BCR) on chr 22 , generating 
the constitutively active BCR-ABL1 fusion oncogene 
• Responds to tyrosine kinase inhibitor (TKI) – Imatinib 
• Need to monitor minimal residual disease (MRD) 
This presentation is the property of
BCR-ABL1 Testing in CML by RQ-PCR 
Reverse transcribe RNA to DNA using Random Hexamers + TaqMan DNA quantitation 
14 
12 
10 
8 
6 
4 
2 
BCR-ABL	 ABL	 
This presentation is the property of 
Tube	 Ct*	 Calculated	Conc	 
(copies/uL)	 
Tube	 Ct*	 Calculated	Conc	 
(copies/uL)	 
Standard	101	copies	 32.97	 9.8	 Standard	101	copies	 34.60	 11	 
Standard	102	copies	 29.44	 104.8	 Standard	102	copies	 31.29	 97	 
Standard	103	copies	 26.12	 977	 Standard	103	copies	 27.84	 1017	 
	 	 	 	 	 	 
Patient	Major	BCR-ABL	 33.13	 6.7	 Patient	ABL	 26.45	 5240	 
	 
Major	BCR-ABL/ABL	Ratio	is	0.13%	 
0 
0 10 20 30 40 
Log of target concentration
Digital PCR for BCR-ABL1 in CML 
This presentation is the property of 
dA dT dG dC 
Polymerase + Nucleotides + 
Primers + Probes 
+ - 
+ 
- 
+ 
+ 
+ 
+ 
+ 
+ 
- 
+ 
+ - 
+ 
- 
+ 
+ 
+ 
+ 
+ 
+ 
- 
+ 
• Droplet digital RT-PCR 
• Two color droplet detection of 
BCR-ABL1 fusion gene and 
ABL1 as reference gene 
• Absolute count as against 
relative quantitation 
• No need for a standard curve 
• Lower limit of detection (LOD) 
+ 
+ + 
+ 
+ 
+ 
+ 
+ 
+ 
+ 
+ + 
+ 
+ 
+ 
+ 
+ 
+
Challenges and Questions 
This presentation is the property of
Accessibility and Cost (India vs. US) 
• US Population – 316 Mn, 
17% rural 
• Per capita income (PPP) - $ 
44800 
• NGS machines: ~1000 
• Physicians/ 1000 people: 
2.45 
• Public health expenditure (% 
of GDP) – 8.3% 
• Total health expenditure (per 
capita) - $8233 
• Established insurance system 
This presentation is the property of 
• India Population – 1.25 Bn, 
68% rural 
• Per capita income (PPP) – 
$ 5350 
• NGS machines: ~100 (80% in 
research) 
• Physicians/ 1000 people: 0.7 
• Public health expenditure (% 
of GDP) – 4.0% 
• Total health expenditure (per 
capita) - $126 
• Out of pocket payment 
Sources: WHO (2010), World Bank (2013)
Awareness and Education 
• Limited exposure to genetics and molecular biology 
during medical training 
• Mandatory CMEs only recently introduced 
• Limited ability to select appropriate tests and interpret 
test results for optimal patient management 
• Usage of molecular diagnostics guided decision making 
is limited to very few conditions (e.g. Imatinib in CML, 
Traustuzumab in Breast Cancer, Sulphonylurea in NDM) 
This presentation is the property of
This presentation is the property of 
Other Challenges 
• Complex data interpretation & data storage 
requirements 
• Variants of unknown significance (VUS) 
• Limited databases for ethnicities 
• Incidental findings 
• Ethical considerations
Questions that need to be answered 
• Is the test relevant? Could it’s results alter the course of 
treatment? 
• What are the criteria for testing? 
This presentation is the property of 
• Are the results actionable? 
• Will the results be reliable? 
• Will the results be available in time? 
• Will the results be interpretable? 
• Is the test affordable? Is the follow-up treatment affordable? Is 
the test more expensive that the treatment?
This presentation is the property of 
Some solutions 
• Increased availability of economical tests 
• Availability and selection of relevant and actionable tests 
• Multiplexing of tests and samples to reduce costs 
• Reporting of only relevant and actionable data from panels 
• Quick turn around time 
• Clear communication with the clinicians
Thank You 
This presentation is the property of

Weitere ähnliche Inhalte

Was ist angesagt?

VALIDATION OF NGS SEQUENCING BY SANGER SEQUENCING
VALIDATION OF NGS SEQUENCING BY SANGER SEQUENCINGVALIDATION OF NGS SEQUENCING BY SANGER SEQUENCING
VALIDATION OF NGS SEQUENCING BY SANGER SEQUENCING
NARRANAGAPAVANKUMAR
 
140127 abrf interlaboratory study proposal
140127 abrf interlaboratory study proposal140127 abrf interlaboratory study proposal
140127 abrf interlaboratory study proposal
GenomeInABottle
 
Aug2013 Heidi Rehm integrating large scale sequencing into clinical practice
Aug2013 Heidi Rehm integrating large scale sequencing into clinical practiceAug2013 Heidi Rehm integrating large scale sequencing into clinical practice
Aug2013 Heidi Rehm integrating large scale sequencing into clinical practice
GenomeInABottle
 
Clinical Validation of an NGS-based (CE-IVD) Kit for Targeted Detection of Ge...
Clinical Validation of an NGS-based (CE-IVD) Kit for Targeted Detection of Ge...Clinical Validation of an NGS-based (CE-IVD) Kit for Targeted Detection of Ge...
Clinical Validation of an NGS-based (CE-IVD) Kit for Targeted Detection of Ge...
Thermo Fisher Scientific
 

Was ist angesagt? (20)

VALIDATION OF NGS SEQUENCING BY SANGER SEQUENCING
VALIDATION OF NGS SEQUENCING BY SANGER SEQUENCINGVALIDATION OF NGS SEQUENCING BY SANGER SEQUENCING
VALIDATION OF NGS SEQUENCING BY SANGER SEQUENCING
 
High-Throughput Sequencing
High-Throughput SequencingHigh-Throughput Sequencing
High-Throughput Sequencing
 
Listeria monocytogenes from population structure to genomic epidemiology
Listeria monocytogenes from population structure to genomic epidemiologyListeria monocytogenes from population structure to genomic epidemiology
Listeria monocytogenes from population structure to genomic epidemiology
 
Clinical Applications of Next Generation Sequencing
Clinical Applications of Next Generation SequencingClinical Applications of Next Generation Sequencing
Clinical Applications of Next Generation Sequencing
 
Dr. Douglas Marthaler - Use of Next Generation Sequencing for Whole Genome An...
Dr. Douglas Marthaler - Use of Next Generation Sequencing for Whole Genome An...Dr. Douglas Marthaler - Use of Next Generation Sequencing for Whole Genome An...
Dr. Douglas Marthaler - Use of Next Generation Sequencing for Whole Genome An...
 
140127 abrf interlaboratory study proposal
140127 abrf interlaboratory study proposal140127 abrf interlaboratory study proposal
140127 abrf interlaboratory study proposal
 
GTC group 8 - Next Generation Sequencing
GTC group 8 - Next Generation SequencingGTC group 8 - Next Generation Sequencing
GTC group 8 - Next Generation Sequencing
 
20170209 ngs for_cancer_genomics_101
20170209 ngs for_cancer_genomics_10120170209 ngs for_cancer_genomics_101
20170209 ngs for_cancer_genomics_101
 
Ernesto Picardi – Bioinformatica e genomica comparata: nuove strategie sperim...
Ernesto Picardi – Bioinformatica e genomica comparata: nuove strategie sperim...Ernesto Picardi – Bioinformatica e genomica comparata: nuove strategie sperim...
Ernesto Picardi – Bioinformatica e genomica comparata: nuove strategie sperim...
 
Aug2013 Heidi Rehm integrating large scale sequencing into clinical practice
Aug2013 Heidi Rehm integrating large scale sequencing into clinical practiceAug2013 Heidi Rehm integrating large scale sequencing into clinical practice
Aug2013 Heidi Rehm integrating large scale sequencing into clinical practice
 
Translational Genomics and Prostate Cancer: Meet the NGS Experts Series Part 2
Translational Genomics and Prostate Cancer: Meet the NGS Experts Series Part 2Translational Genomics and Prostate Cancer: Meet the NGS Experts Series Part 2
Translational Genomics and Prostate Cancer: Meet the NGS Experts Series Part 2
 
Next-Generation Sequencing Clinical Research Milestones Infographic
Next-Generation Sequencing Clinical Research Milestones InfographicNext-Generation Sequencing Clinical Research Milestones Infographic
Next-Generation Sequencing Clinical Research Milestones Infographic
 
Targeted Single Cell Sequencing for Accurate Mutation Detection in Heterogene...
Targeted Single Cell Sequencing for Accurate Mutation Detection in Heterogene...Targeted Single Cell Sequencing for Accurate Mutation Detection in Heterogene...
Targeted Single Cell Sequencing for Accurate Mutation Detection in Heterogene...
 
NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...
NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...
NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...
 
Clinical Validation of an NGS-based (CE-IVD) Kit for Targeted Detection of Ge...
Clinical Validation of an NGS-based (CE-IVD) Kit for Targeted Detection of Ge...Clinical Validation of an NGS-based (CE-IVD) Kit for Targeted Detection of Ge...
Clinical Validation of an NGS-based (CE-IVD) Kit for Targeted Detection of Ge...
 
Bioinformatics tools for NGS data analysis
Bioinformatics tools for NGS data analysisBioinformatics tools for NGS data analysis
Bioinformatics tools for NGS data analysis
 
Development of a Multi-Variant Frequency Ladder™ for Next Generation Sequenci...
Development of a Multi-Variant Frequency Ladder™ for Next Generation Sequenci...Development of a Multi-Variant Frequency Ladder™ for Next Generation Sequenci...
Development of a Multi-Variant Frequency Ladder™ for Next Generation Sequenci...
 
NGS and the molecular basis of disease: a practical view
NGS and the molecular basis of disease: a practical viewNGS and the molecular basis of disease: a practical view
NGS and the molecular basis of disease: a practical view
 
Supporting Genomics in the Practice of Medicine by Heidi Rehm
Supporting Genomics in the Practice of Medicine by Heidi RehmSupporting Genomics in the Practice of Medicine by Heidi Rehm
Supporting Genomics in the Practice of Medicine by Heidi Rehm
 
Utilization of NGS to Identify Clinically-Relevant Mutations in cfDNA: Meet t...
Utilization of NGS to Identify Clinically-Relevant Mutations in cfDNA: Meet t...Utilization of NGS to Identify Clinically-Relevant Mutations in cfDNA: Meet t...
Utilization of NGS to Identify Clinically-Relevant Mutations in cfDNA: Meet t...
 

Andere mochten auch

Aula04 tecnicas diagnostico virologia parte 2 final
Aula04   tecnicas diagnostico virologia parte 2 finalAula04   tecnicas diagnostico virologia parte 2 final
Aula04 tecnicas diagnostico virologia parte 2 final
Hugo Sousa
 
Guidance logs assignment
Guidance logs assignmentGuidance logs assignment
Guidance logs assignment
fucik
 
Introdução de tecnicas de diagnostico molecular
Introdução de tecnicas de diagnostico molecular Introdução de tecnicas de diagnostico molecular
Introdução de tecnicas de diagnostico molecular
Safia Naser
 
Guidance log--semester 3
Guidance log--semester 3Guidance log--semester 3
Guidance log--semester 3
aegeanlyq
 

Andere mochten auch (20)

Molecular diagnostics market & forecast (by application, technology, countrie...
Molecular diagnostics market & forecast (by application, technology, countrie...Molecular diagnostics market & forecast (by application, technology, countrie...
Molecular diagnostics market & forecast (by application, technology, countrie...
 
Quantifiler™ Trio: Decision-support to help streamline Sexual Assault sample ...
Quantifiler™ Trio: Decision-support to help streamline Sexual Assault sample ...Quantifiler™ Trio: Decision-support to help streamline Sexual Assault sample ...
Quantifiler™ Trio: Decision-support to help streamline Sexual Assault sample ...
 
PCR Quantitativa - Lucas Secchim Ribeiro (PGMicro UFMG 2016-1)
PCR Quantitativa - Lucas Secchim Ribeiro (PGMicro UFMG 2016-1)PCR Quantitativa - Lucas Secchim Ribeiro (PGMicro UFMG 2016-1)
PCR Quantitativa - Lucas Secchim Ribeiro (PGMicro UFMG 2016-1)
 
Automate Express to Streamline Differential Extraction process
Automate Express to Streamline Differential Extraction processAutomate Express to Streamline Differential Extraction process
Automate Express to Streamline Differential Extraction process
 
Chronic myeloid leukemia
Chronic myeloid leukemiaChronic myeloid leukemia
Chronic myeloid leukemia
 
Molecular diagnostics of colorectal cancer
Molecular diagnostics   of colorectal cancerMolecular diagnostics   of colorectal cancer
Molecular diagnostics of colorectal cancer
 
Diagnóstico Molecular das Viroses Respiratórias
Diagnóstico Molecular das Viroses RespiratóriasDiagnóstico Molecular das Viroses Respiratórias
Diagnóstico Molecular das Viroses Respiratórias
 
PPT sobre técnicas moleculares
PPT sobre técnicas molecularesPPT sobre técnicas moleculares
PPT sobre técnicas moleculares
 
PCR Quantitativa - Lucas Secchim Ribeiro (PGMicro UFMG 2015-1)
PCR Quantitativa - Lucas Secchim Ribeiro (PGMicro UFMG 2015-1)PCR Quantitativa - Lucas Secchim Ribeiro (PGMicro UFMG 2015-1)
PCR Quantitativa - Lucas Secchim Ribeiro (PGMicro UFMG 2015-1)
 
Aula04 tecnicas diagnostico virologia parte 2 final
Aula04   tecnicas diagnostico virologia parte 2 finalAula04   tecnicas diagnostico virologia parte 2 final
Aula04 tecnicas diagnostico virologia parte 2 final
 
Diagnóstico de Doenças Infecciosas e Parasitárias
Diagnóstico de Doenças Infecciosas e ParasitáriasDiagnóstico de Doenças Infecciosas e Parasitárias
Diagnóstico de Doenças Infecciosas e Parasitárias
 
Técnicas Moleculares
Técnicas MolecularesTécnicas Moleculares
Técnicas Moleculares
 
Guidance logs assignment
Guidance logs assignmentGuidance logs assignment
Guidance logs assignment
 
Introdução de tecnicas de diagnostico molecular
Introdução de tecnicas de diagnostico molecular Introdução de tecnicas de diagnostico molecular
Introdução de tecnicas de diagnostico molecular
 
Genetica forense
Genetica forense Genetica forense
Genetica forense
 
Dna forense
Dna forenseDna forense
Dna forense
 
Guidance log--semester 3
Guidance log--semester 3Guidance log--semester 3
Guidance log--semester 3
 
Seminário genética forense
Seminário  genética forense Seminário  genética forense
Seminário genética forense
 
Genetica forense
Genetica forenseGenetica forense
Genetica forense
 
Thunderbolt
ThunderboltThunderbolt
Thunderbolt
 

Ähnlich wie Clinical molecular diagnostics for drug guidance

High Sensitivity Detection of Tumor Gene Mutations-v3
High Sensitivity Detection of Tumor Gene Mutations-v3High Sensitivity Detection of Tumor Gene Mutations-v3
High Sensitivity Detection of Tumor Gene Mutations-v3
Michael Powell
 
Exploring the neuroblastoma epigenome: perspectives for improved prognosis
Exploring the neuroblastoma epigenome: perspectives for improved prognosisExploring the neuroblastoma epigenome: perspectives for improved prognosis
Exploring the neuroblastoma epigenome: perspectives for improved prognosis
Maté Ongenaert
 
Microarrays;application
Microarrays;applicationMicroarrays;application
Microarrays;application
Fyzah Bashir
 

Ähnlich wie Clinical molecular diagnostics for drug guidance (20)

6. Molek tech.pptx [Repaired].pptx
6. Molek tech.pptx [Repaired].pptx6. Molek tech.pptx [Repaired].pptx
6. Molek tech.pptx [Repaired].pptx
 
155 dna microarray
155 dna microarray155 dna microarray
155 dna microarray
 
155 dna microarray
155 dna microarray155 dna microarray
155 dna microarray
 
Dna microarray mehran
Dna microarray  mehranDna microarray  mehran
Dna microarray mehran
 
High Sensitivity Detection of Tumor Gene Mutations-v3
High Sensitivity Detection of Tumor Gene Mutations-v3High Sensitivity Detection of Tumor Gene Mutations-v3
High Sensitivity Detection of Tumor Gene Mutations-v3
 
Dna microarray application in vp research mehran
Dna microarray application in vp research  mehranDna microarray application in vp research  mehran
Dna microarray application in vp research mehran
 
Acc 2002 mehran for print
Acc 2002  mehran for printAcc 2002  mehran for print
Acc 2002 mehran for print
 
Acc 2002 mehran for print
Acc 2002  mehran for printAcc 2002  mehran for print
Acc 2002 mehran for print
 
Genomics experimental-methods
Genomics experimental-methodsGenomics experimental-methods
Genomics experimental-methods
 
Molecular profiling 2013
Molecular profiling 2013Molecular profiling 2013
Molecular profiling 2013
 
20160218 hisham toma services
20160218 hisham toma services20160218 hisham toma services
20160218 hisham toma services
 
115 genomic and proteomic screen
115 genomic and proteomic screen115 genomic and proteomic screen
115 genomic and proteomic screen
 
Genomic and proteomic screen
Genomic and proteomic screenGenomic and proteomic screen
Genomic and proteomic screen
 
Acc 2002 microarray mehran for print
Acc 2002 microarray mehran for printAcc 2002 microarray mehran for print
Acc 2002 microarray mehran for print
 
Acc 2002 microarray mehran for print
Acc 2002 microarray mehran for printAcc 2002 microarray mehran for print
Acc 2002 microarray mehran for print
 
115 genomic and proteomic screen
115 genomic and proteomic screen115 genomic and proteomic screen
115 genomic and proteomic screen
 
Molecular techniques for pathology research - MDX .pdf
Molecular techniques for pathology research - MDX .pdfMolecular techniques for pathology research - MDX .pdf
Molecular techniques for pathology research - MDX .pdf
 
Exploring the neuroblastoma epigenome: perspectives for improved prognosis
Exploring the neuroblastoma epigenome: perspectives for improved prognosisExploring the neuroblastoma epigenome: perspectives for improved prognosis
Exploring the neuroblastoma epigenome: perspectives for improved prognosis
 
Microarrays;application
Microarrays;applicationMicroarrays;application
Microarrays;application
 
Dna Based Molecular Diagnosis(CMH)Final (1).pptx
Dna Based Molecular Diagnosis(CMH)Final (1).pptxDna Based Molecular Diagnosis(CMH)Final (1).pptx
Dna Based Molecular Diagnosis(CMH)Final (1).pptx
 

Kürzlich hochgeladen

Ernakulam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Ernakulam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetErnakulam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Ernakulam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Call Girls Chandigarh
 
Hubli Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Hubli Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetHubli Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Hubli Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Call Girls Service
 
palanpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
palanpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetpalanpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
palanpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Call Girls Service
 
Tirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Tirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetTirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Tirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Call Girls Service
 
Bareilly Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Bareilly Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetBareilly Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Bareilly Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Call Girls Service
 
kochi Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
kochi Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetkochi Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
kochi Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Call Girls Service
 
neemuch Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
neemuch Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetneemuch Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
neemuch Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Call Girls Service
 
raisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
raisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetraisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
raisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Call Girls Service
 
bhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
bhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetbhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
bhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Call Girls Service
 
Mangalore Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Mangalore Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetMangalore Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Mangalore Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Call Girls Service
 
Sambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Sambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetSambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Sambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Call Girls Service
 
Bhagalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Bhagalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetBhagalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Bhagalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Call Girls Service
 
Top 20 Famous Indian Female Pornstars Name List 2024
Top 20 Famous Indian Female Pornstars Name List 2024Top 20 Famous Indian Female Pornstars Name List 2024
Top 20 Famous Indian Female Pornstars Name List 2024
Sheetaleventcompany
 

Kürzlich hochgeladen (20)

Ernakulam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Ernakulam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetErnakulam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Ernakulam Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Escorts Service Ahmedabad🌹6367187148 🌹 No Need For Advance Payments
Escorts Service Ahmedabad🌹6367187148 🌹 No Need For Advance PaymentsEscorts Service Ahmedabad🌹6367187148 🌹 No Need For Advance Payments
Escorts Service Ahmedabad🌹6367187148 🌹 No Need For Advance Payments
 
Krishnagiri call girls Tamil aunty 7877702510
Krishnagiri call girls Tamil aunty 7877702510Krishnagiri call girls Tamil aunty 7877702510
Krishnagiri call girls Tamil aunty 7877702510
 
Hubli Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Hubli Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetHubli Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Hubli Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Kochi call girls Mallu escort girls available 7877702510
Kochi call girls Mallu escort girls available 7877702510Kochi call girls Mallu escort girls available 7877702510
Kochi call girls Mallu escort girls available 7877702510
 
palanpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
palanpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetpalanpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
palanpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Tirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Tirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetTirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Tirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
❤️Call girls in Jalandhar ☎️9876848877☎️ Call Girl service in Jalandhar☎️ Jal...
❤️Call girls in Jalandhar ☎️9876848877☎️ Call Girl service in Jalandhar☎️ Jal...❤️Call girls in Jalandhar ☎️9876848877☎️ Call Girl service in Jalandhar☎️ Jal...
❤️Call girls in Jalandhar ☎️9876848877☎️ Call Girl service in Jalandhar☎️ Jal...
 
Bareilly Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Bareilly Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetBareilly Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Bareilly Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
kochi Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
kochi Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetkochi Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
kochi Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
neemuch Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
neemuch Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetneemuch Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
neemuch Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
raisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
raisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetraisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
raisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
bhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
bhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetbhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
bhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Mangalore Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Mangalore Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetMangalore Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Mangalore Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Sambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Sambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetSambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Sambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Dehradun Call Girls 8854095900 Call Girl in Dehradun Uttrakhand
Dehradun Call Girls 8854095900 Call Girl in Dehradun  UttrakhandDehradun Call Girls 8854095900 Call Girl in Dehradun  Uttrakhand
Dehradun Call Girls 8854095900 Call Girl in Dehradun Uttrakhand
 
Bhagalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Bhagalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetBhagalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Bhagalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Independent Call Girls Hyderabad 💋 9352988975 💋 Genuine WhatsApp Number for R...
Independent Call Girls Hyderabad 💋 9352988975 💋 Genuine WhatsApp Number for R...Independent Call Girls Hyderabad 💋 9352988975 💋 Genuine WhatsApp Number for R...
Independent Call Girls Hyderabad 💋 9352988975 💋 Genuine WhatsApp Number for R...
 
Top 20 Famous Indian Female Pornstars Name List 2024
Top 20 Famous Indian Female Pornstars Name List 2024Top 20 Famous Indian Female Pornstars Name List 2024
Top 20 Famous Indian Female Pornstars Name List 2024
 
Jaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthan
Jaipur Call Girls 9257276172 Call Girl in Jaipur RajasthanJaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthan
Jaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthan
 

Clinical molecular diagnostics for drug guidance

  • 1. Utility of Molecular Diagnostics in clinical decision making Nikhil Phadke, PhD GenePath Dx, Pune, India This presentation is the property of
  • 2. This presentation is the property of Learning Objectives 1. Be familiar with next generation molecular diagnostic techniques that can provide guidance in clinical decision making 2. Identify the utility of these diagnostic approaches with some examples 3. Be aware of the challenges that exist in implementing these tools as part of the routine clinical decision making process, especially in resource limited settings
  • 3. This presentation is the property of The Basics
  • 4. This presentation is the property of mt 16.6 Kb 37 1013 cells Our DNA Haploid Human Genome ~ 3.09 * 109 bp Distributed in 23 chromosomes & mitochondria Coding regions ~ 2% (85% of all known mutations) Total Genes 25,000 - 45,000 (Histone 500bp – Dystrophin 2.2 Mbp)
  • 5. This presentation is the property of Where can things go wrong? What do we need to detect? Analogy (using plain English) ♀THE DOG BIT THE CAT | THE CAT ATE THE RAT ♂THE DOG BIT THE CAT | THE CAT ATE THE RAT Presence and quantification of foreign nucleic acids (e.g. infectious agents like viruses and bacteria) COW EGG PIG ASS Single nucleotide polymorphisms (SNPs) (e.g. Sickle Cell Anemia) THA DOG BIT THE CAT THE DOG BIT THE BAT Insertions / Deletions (InDels) & Nucleotide Repeat Polymorphisms – can cause frameshifts (e.g. Fragile X, Huntingtons Disease) THE EDO GBI TTH ECA T THD OGB ITT HEC AT Copy number variations (CNVs) e.g. (Deletion, Duplications such as Her2 amplification in some Breast Cancers) THE DOG BIT THE CAT THE DOG BIT THE CAT THE DOG DOG BIT THE CAT OR THE BIT THE CAT Inversions (e.g. Factor VIII Haemophilia) THE GOD BIT THE CAT TAC EHT TIB GOD EHT Translocations (e.g. chronic myelogenous leukemia - CML Philadelphia chromosome 22 & 9 translocation causes BCR-ABL fusion) THE DOG BIT THE CAT ATE THE RAT THE CAT ATE THE DOG BIT Loss of Heterozygosity (LoH) (e.g. retinoblatoma) / Uniparental Disomy (e.g. Prader Willi Syndrome) THE DOG BIT THE CAT THE DOG BIT THE CAT THE DOG BIT THE CAT
  • 6. How do we detect these anomalies? This presentation is the property of Analysis scope Single/ Few Defined Variations Multiple/ Unknown Variations Cytogenetics Molecular Genetics FISH Karyotyping (& Spectral) (digital) PCR SNaPshot Sanger Sequencing MLPA dHPLC/ HRM Microarrays Next Generation Sequencing Low resolution High resolution M-FISH
  • 7. The evolution of sequencing technologies 1970s 80s and 90s 2000s 2010s This presentation is the property of
  • 8. Traditional Capillary/Sanger Sequencing Chromatogram + - Shorter Longer fragments fragments This presentation is the property of Nucleotides dA dT dG dC, ddA ddT ddG ddC Polymerase Sequence X-X-X-T-T-G-S-T-A-T Complementary Template Y-Y-Y-A-A-C-W-A-T-A Primer X-X-X X-X-X-T Synthesized X-X-X-T-T labeled DNA X-X-X-T-T-G fragments X-X-X-T-T-G-C X-X-X-T-T-G-G X-X-X-T-T-G-C-T X-X-X-T-T-G-C-T-A X-X-X-T-T-G-C-T-A-T X-X-X-T X-X-X-T-T X-X-X-T-T-G X-X-X-T-T-G-C X-X-X-T-T-G-G X-X-X- T-T-G-C-T X-X-X-T-T-G-C- T-A X-X-X- T-T-G-C-T-A-T Capillary Electrophoretic Separation Sequencing Reaction
  • 9. Pros and Cons of Capillary Sequencing - Slow, limited throughput - Expensive (per base) - Limited sensitivity - Not ideal for multiplexing - Not ideal for multigenic or large gene analyses This presentation is the property of  Gold standard  Relatively long reads (700 - 1000 nucleotides)  Nobel Prize for Fred Sanger in 1980  Used for Human Genome Project (3000 scientists, multiple centers, 6 countries, over 13 years, cost US$ ~ 3B)
  • 10. Next (2nd) generation sequencing (NGS) This presentation is the property of Library Preparation Data Capture & Data Analysis Fragmentation / Targeted Amplification Addition of Priming & Multiplexing adapters Massively Parallel Sequencing by Synthesis Clonal amplification (Emulsion/Bridge PCR)
  • 11. Single molecule (3rd gen) sequencing Single Molecule Real Time Nanopore Sequencing This presentation is the property of Sequencing dA dT dG dC Zero-mode Waveguide Labeled nucleotides Anchored Polymerase Detection of incorporated polymerase at base of ZMV DNA unwound, ratcheted through protein graphene nanopore Nucleotide detected based on conductivity
  • 12. Clinical applications of NGS • Sequencing: de novo genome, resequencing, exome, targeted, transcriptome profiling, metagenome analysis • Large genes / multiple genes / multiple samples • Ultra-deep sequencing for rare mutations and circulating nucleic acids (e.g. plasma tumor DNA and maternal DNA for non-invasive prenatal diagnosis) This presentation is the property of
  • 13. Digital PCR – An evolution of PCR Conventional PCR Real-time PCR Digital PCR Real time detection in closed system High Low This presentation is the property of Temp Thermal cycling Post PCR gel electrophoretic analysis Fluorescence Cycles Negative End-point detection of droplets + - + - + + + + + + - + dA dT dG dC Polymerase + Primers dA dT dG dC + (Probes) + Nucleotides + Target; Individual Target DNA physically separated Polymerase + Primers + (Probes) + Nucleotides + Target in a Homogenous system
  • 14. Some Examples This presentation is the property of
  • 15. Molecular diagnostics across medical disciplines This presentation is the property of Pathogen identification e.g. MTB Pathogen quantification e.g. HIV load Drug resistance status e.g. MRSA Predictive testing e.g. BRCA1/2 Companion diagnostics e.g. EGFR, HER2 Disease monitoring e.g. BCR-ABL Prognostic testing e.g. ‘OncotypeDx’ e.g. Neonatal Diabetes, Congenital Adrenal Hyperplasia and Prader Willi Syndrome Transplantation e.g. HLA typing and chimerism monitoring Blood disorders e.g. Thalassemia and DVT e.g. Trisomy 21 testing by amniocentesis, CVS, or NIPD Infectious Diseases Endocrinology Hematology Identity Prenatal Testing Oncology
  • 16. The utility of BRCA testing 1. Modify surveillance options 2. Suggest risk reduction measures 3. Provide treatment guidance 4. Understand risk to other family members 5. Potential for pre-implantation diagnostics (PIGD) This presentation is the property of
  • 17. BRCA Testing in India in 2012 (Sanger Seq) 58 year old female diagnosed with Breast Cancer with family history of HBOC; common Indian mutations tested This presentation is the property of BRCA1 Exon 2 185del AG BRCA1 Exon 8 632 dupT BRCA1 Exon 12 IVS17+1, G>A, 5154delC BRCA2 Exon 9 IVS8-2, A>G(c.682-2 A>G) BRCA2 Exon 25 W3127X All negative. Results inconclusive
  • 18. BRCA Testing in India in 2014 (NGS Panel) High penetrance breast cancer susceptibility genes BRCA1, BRCA2, TP53, PTEN, STK11, CDH1 Moderate susceptibility breast cancer genes: ATM, CHEK2, PALB2, BRIP1, NBN, RAD51C, RAD51D This presentation is the property of Other genes in the panel: MEN1, CDC73, DICER1, MUTYH, NF2, MSH2, BMPR1A, APC, KIT, RET, SMAD4, RB1, VHL, EPCAM, ALK, CDK4, AIP, MSH6, MET, MLH1, SDHAF2, SDHB, SDHD, SDHC, SUFU, WT1, TSC2, TSC1, PMS2. Pathogenic frameshift BRCA1 Mutation Detected c.933_933delT
  • 19. Genetic testing in Neonatal Diabetes • ATP-sensitive potassium channel (KATP) consists of two subunits - SUR1 (ABCC8 – 4000bp) and Kir6.2 (KCNJ11 – 84000bp). • Multiple mutations in these genes are implicated in Neonatal Diabetes (NDM); for some mutations, normal activity can be restored with Sulfonylurea drugs K+ K+ K+ This presentation is the property of Kir6.2 (KCNJ11) Membrane  Glucose   ATP SIR1 (ABCC8) Sulfonylurea Normal Insulin Decreased Insulin (hyperglycemia) Normalized Insulin
  • 20. Sanger Sequencing of KCNJ11 & ABCC8 Loss of function/inactivatin g G111R causing recessively inherited congenital hyperinsulinism (inherited from asymptomatic father) Gain of function R826W causing This presentation is the property of transient neonatal diabetes (inherited from asymptomatic mother) • One month old baby with NDM (very high sugar) • Initially managed with 2 insulin injections per day • Sanger Sequencing • Detected two missense mutations in ABCC8 gene G111R and R826W • Switched to oral sulfonylurea (glibenclamide). Responded well
  • 21. NGS Panel for Neonatal Diabetes • Sanger sequencing of ABCC8 and KCNJ11 is laborious, expensive (~ $2000) and requires long turn-around times • Cases of suspected NDM with no detected mutations in This presentation is the property of ABCC8 and KCNJ11 • Development of NGS panel with several additional genes involved in neonatal diabetes/hyperinsulinism ABCC8 KCNJ11 GLUD1 GCK HADH INS HNF1A HNF4A HNF1B INS PDX1 PTF1A NEUROD1 NEUROG3 RFX6 EIF2AK3 FOXP3 GLIS3 SLC19A2 SLC2A2 IER3IP1 ZFP57 WFS1 GATA6 GATA4 CEL PAX4 BLK KLF11 LMNA PPARG • Panel has allowed for relatively rapid and cheaper testing for NDM and detection of new mutations in ABCC8, EIF2AK3, GATA6, GCK, PDX1, SLC19A2
  • 22. EGFR mutations in Lung Cancer • Epidermal growth factor receptor (EGFR) can be mutated in certain Non Small Cell Lung Cancers (NSCLC) and other cancers • Tyrosine kinase inhibitors (TKIs) (Gefitinib and Erlotinib) can act on some mutated forms of EGFR • Mutations usually detected from formalin fixed paraffin embedded (FFPE) blocks by Sanger Sequencing or PCR based methods • Sanger sequencing has limited (~ 20%) sensitivity • PCR methods need you to know the mutations a priori This presentation is the property of
  • 23. EGFR mutations by NGS • Ultra-deep sequencing of EGFR from FFPE samples can detect mutations at sensitivities up to 0.1% • Somatic mutation NGS panels can be used to detect mutations not just in the hotspots of certain genes, but over entire sequences of multiple genes (e.g. KRAS, NRAS, BRAF) • Research projects underway to determine the clinical relevance of EGFR mutations detected from circulating tumor DNA in plasma This presentation is the property of
  • 24. BCR-ABL1 Fusions in CML • Chronic Myelogenous Leukemia characterized by reciprocal translocation of chromosomes 9 & 22 resulting in the Philadelphia chromosome • Fusion of Abelson (ABL1) proto-oncogene on chr 9 with the breakpoint cluster region gene (BCR) on chr 22 , generating the constitutively active BCR-ABL1 fusion oncogene • Responds to tyrosine kinase inhibitor (TKI) – Imatinib • Need to monitor minimal residual disease (MRD) This presentation is the property of
  • 25. BCR-ABL1 Testing in CML by RQ-PCR Reverse transcribe RNA to DNA using Random Hexamers + TaqMan DNA quantitation 14 12 10 8 6 4 2 BCR-ABL ABL This presentation is the property of Tube Ct* Calculated Conc (copies/uL) Tube Ct* Calculated Conc (copies/uL) Standard 101 copies 32.97 9.8 Standard 101 copies 34.60 11 Standard 102 copies 29.44 104.8 Standard 102 copies 31.29 97 Standard 103 copies 26.12 977 Standard 103 copies 27.84 1017 Patient Major BCR-ABL 33.13 6.7 Patient ABL 26.45 5240 Major BCR-ABL/ABL Ratio is 0.13% 0 0 10 20 30 40 Log of target concentration
  • 26. Digital PCR for BCR-ABL1 in CML This presentation is the property of dA dT dG dC Polymerase + Nucleotides + Primers + Probes + - + - + + + + + + - + + - + - + + + + + + - + • Droplet digital RT-PCR • Two color droplet detection of BCR-ABL1 fusion gene and ABL1 as reference gene • Absolute count as against relative quantitation • No need for a standard curve • Lower limit of detection (LOD) + + + + + + + + + + + + + + + + + +
  • 27. Challenges and Questions This presentation is the property of
  • 28. Accessibility and Cost (India vs. US) • US Population – 316 Mn, 17% rural • Per capita income (PPP) - $ 44800 • NGS machines: ~1000 • Physicians/ 1000 people: 2.45 • Public health expenditure (% of GDP) – 8.3% • Total health expenditure (per capita) - $8233 • Established insurance system This presentation is the property of • India Population – 1.25 Bn, 68% rural • Per capita income (PPP) – $ 5350 • NGS machines: ~100 (80% in research) • Physicians/ 1000 people: 0.7 • Public health expenditure (% of GDP) – 4.0% • Total health expenditure (per capita) - $126 • Out of pocket payment Sources: WHO (2010), World Bank (2013)
  • 29. Awareness and Education • Limited exposure to genetics and molecular biology during medical training • Mandatory CMEs only recently introduced • Limited ability to select appropriate tests and interpret test results for optimal patient management • Usage of molecular diagnostics guided decision making is limited to very few conditions (e.g. Imatinib in CML, Traustuzumab in Breast Cancer, Sulphonylurea in NDM) This presentation is the property of
  • 30. This presentation is the property of Other Challenges • Complex data interpretation & data storage requirements • Variants of unknown significance (VUS) • Limited databases for ethnicities • Incidental findings • Ethical considerations
  • 31. Questions that need to be answered • Is the test relevant? Could it’s results alter the course of treatment? • What are the criteria for testing? This presentation is the property of • Are the results actionable? • Will the results be reliable? • Will the results be available in time? • Will the results be interpretable? • Is the test affordable? Is the follow-up treatment affordable? Is the test more expensive that the treatment?
  • 32. This presentation is the property of Some solutions • Increased availability of economical tests • Availability and selection of relevant and actionable tests • Multiplexing of tests and samples to reduce costs • Reporting of only relevant and actionable data from panels • Quick turn around time • Clear communication with the clinicians
  • 33. Thank You This presentation is the property of

Hinweis der Redaktion

  1. The basics Examples to illustrate Challenges and questions raised Some take home messages
  2. Fragmentation / targeted amplification Addition of Priming and Multiplexing Adapters / Barcodes (ligation or PCR) Clonal amplification of each fragment (Emulsion PCR or Bridge PCR) Physical separation of each clonally amplified fragment through droplets captured in picotiter plates or on the surface of a flow cell. Real-time sequencing by sequential addition of one nucleotide at a time, or through the use of flurescently labeled reversibly terminated nucleotides Data acquisition through a cascade reaction that either produces an H+ ion (nanofabricated pH meter) or a bioluminescence event (luciferase) or through fluorescence monitoring of the flow cell Conversion into nucleotide base calls. Assembly of fragment data to final form.
  3. Polymerase anchored at base of Zero-Mode Waveguide. All nucleotides fluorescently labeled Detection of single nucleotide being incorporated by polymerase in real-time Large arrays of ZMWs 5) DNA unwound and single stranded DNA ratcheted through protein nanopores embedded in artificial substrate 6) DNA bases detected as strand is stalled based on conductivity across the nanopore 7) Large arrays of nanopores
  4. Microreactors in digital PCR. Much like the emulsion PCR sample prep for NGS. From Qualitative results to relative quantification to absolute quantification (Poisson statistics)
  5. 1) Frequency of screening. Type of screening (e.g. alternating mammogram & MRI), Age of initial screening note mammo slightly less sensitive for BRCA1 due to higher breast density 2) e.g. Salpingo-oophorectomy after childbearing, bilateral mastectomy, chemoprevention like anti-estrogen therapy for BRCA2 mutation carriers 3) e.g. avoidance of radiation for TP53 mutation carriers, gene-specific treatment options like PARP inhibitors and platinum salts for BRCA1 carriers. 4) Evaluation of risk and testing of other family members 5) Evaluate the option on pre-implanatation genetic testing
  6. Tumor Supressor genes. Large genes. BRCA1 (81kb/24 exons/1863amino acids), BRCA2 (84kb/26 exons/3418 amino acids). Nearly 800 clinically relevant mutations reported. Laborious and expensive to sequence. ~ $3500/sample. Patent related complications.
  7. Cheaper and quicker way to sequence BRCA1 & 2 Several additional genes included in the panel (the one’s in bold – PALB2 and MEN1 were recently reported as important in NEJM articles)
  8. Sulphonylurea Receptor (SUR1) and Inwardly Rectifying potassium channel (Kir6.2) - 4 subunits of each form the Katp channels. In pancreatic beta cells high glucose levels lead to increased ATP production, Channels sense the intracellular ATP levels and close. This causes increased membrane potential which opens voltage dependent calcium channels which trigger insulin exocytosis, Activating mutations can lead to neonatal diabetes
  9. FFPE DNA extraction is hard, and sometimes poor quality DNA Tumor tissue is heterogenous mass along with normal tissue. Low level mutations can be easily missed 3) Sanger has low sensitivity, and PCR based methods need prior knowledge. Looking for all mutations by PCR can be laborious and expensive.
  10. Often get patients who simply cannot afford the tests. In many of those cases, even if the cost of the test were removed from the equation, the patient would not be able to afford the cost and burden of treatment In some cases (especially infectious diseases) the cost of the test overwhelms the cost of the treatment, and the accessibility to the treatment, so it becomes easier to try a variety of treatments rather than test guided therapy
  11. Large storage requirements. Need computaional horsepower, and fast internet connectivity. Also need data management and interpretation expertise How do you handle large numbers of variants of unknown significance. Up to 1200 VUS in a single exome sequencing Most data has been generated on Caucasian populations. Limited data available for Indians and other ethnic groups (further complicated by heterogenous populations). This exacerbates the VUS problem further. How do you report incidental finding i.e. something that you were not looking for in the first case? How do you manage the data, it’s privacy. How do you deal with findings that might impact other family members?
  12. From the perspective of the clinician Is the test affordable? Is it more expensive than the treatment? Is the treatment affordable? Is the test relevant? Are the results actionable? Will the results be reliable? Will the results be available in time? From the perspective of the diagnostician Is there sufficient awareness about the need for the test? Do the clinicians have the knowledge and ability to interpret the results of the tests?
  13. Availability of relevant tests include the ability of data for the ethnicities that are being tested