Genetic Cancer Susceptibility (GCS) Genomics in I4C James McKay.

Slides:



Advertisements
Similar presentations
Next-Generation Sequencing: Methodology and Application
Advertisements

1 Chapter 41 Genetics of Neurodegenerative Diseases Copyright © 2012, American Society for Neurochemistry. Published by Elsevier Inc. All rights reserved.
Lecture 2 Strachan and Read Chapter 13
Analysis of imputed rare variants
Vanderbilt Center for Quantitative Sciences Summer Institute Sequencing Analysis Yan Guo.
Single Nucleotide Polymorphism And Association Studies Stat 115 Dec 12, 2006.
HPV.  Many risk factors for development of cervical cancer. no routinely used positive predictive biological markers, which identify women at risk of.
Development of a BRCA2 screening service – Introduction of high resolution MELT analysis A Grade Trainee Project Nick Camm Yorkshire Regional Genetics.
Genetics 101/Clinical Significance Camp Sunshine July 22, 2013 Diamond Blackfan Anemia Foundation Diamond Blackfan Anemia Canada.
Next–generation DNA sequencing technologies – theory & practice
Genome-wide Association Study Focus on association between SNPs and traits Tendency – Larger and larger sample size – Use of more narrowly defined phenotypes(blood.
Presentation Title February 23, 2011 Establishing Clinical-grade Assays for Support of Drug Trials May 3, 2012 Patrick Hurban Expression Analysis.
Genetic susceptibility: Polymorphisms of the 8q24 chromosome S. Lani Park 05/07/09.
Standardization within the consortium Cancer consortia Paolo Boffetta IARC.
Next-generation sequencing
Bioinformatics lectures at Rice University Li Zhang Lecture 10: Networks and integrative genomic analysis-2 Genome instability and DNA copy number data.
MiRNA-drug resistance mechanisms Summary Hypothesis: The interplay between miRNAs, signaling pathways and epigenetic and genetic alterations are responsible.
The 454 and Ion PGM at the Genomics Core Facility Dr. Deborah Grove, Director for Genetic Analysis Genomics Core Facility Huck Institutes of the Life Sciences.
Greg Phillips Veterinary Microbiology
Bioinformatics pipeline for detection of immunogenic cancer mutations by high throughput mRNA sequencing Jorge Duitama 1, Ion Mandoiu 1, and Pramod Srivastava.
Informatics challenges and computer tools for sequencing 1000s of human genomes Gabor T. Marth Boston College Biology Department Cold Spring Harbor Laboratory.
Diabetes and Endocrinology Research Center The BCM Microarray Core Facility: Closing the Next Generation Gap Alina Raza 1, Mylinh Hoang 1, Gayan De Silva.
Polymerase Chain Reaction WORKSHOP (3)
The genetic epidemiology of common hormonal cancers Deborah Thompson Centre for Cancer Genetic Epidemiology.
Dr Katie Snape Specialist Registrar in Genetics St Georges Hospital
Whole Exome Sequencing for Variant Discovery and Prioritisation
ARC Biotechnology Platform: Sequencing for Game Genomics Dr Jasper Rees
The virochip (UCSF) is a spotted microarray. Hybridization of a clinical RNA (cDNA) sample can identify specific viral expression.
Computational research for medical discovery at Boston College Biology Gabor T. Marth Boston College Department of Biology
Assay Development Breakout (red) Who was in the room? About half of attendees are active NGS users N=1 doing whole genome analyses Everyone else doing.
Unknown genetic predisposition in familial breast cancer can lie deep in family tree San Ming Wang University of Nebraska Medical Center.
The Center for Medical Genomics facilitates cutting-edge research with state-of-the-art genomic technologies for studying gene expression and genetics,
Genetics-multistep tumorigenesis genomic integrity & cancer Sections from Weinberg’s ‘the biology of Cancer’ Cancer genetics and genomics Selected.
Loss-of-co-Homozygosity mapping and exome sequencing of a Syrian pedigree identified the candidate causal mutation associated with rheumatoid arthritis.
Next-Generation Sequencing
Next Generation Sequencing and its data analysis challenges Background Alignment and Assembly Applications Genome Epigenome Transcriptome.
A single-nucleotide polymorphism tagging set for human drug metabolism and transport Kourosh R Ahmadi, Mike E Weale, Zhengyu Y Xue, Nicole Soranzo, David.
A Novel Approach for Unique MRD Markers Identification in Acute Leukemia Patients Tereza Jančušková synlab genetics s.r.o. Evropska 176/16, Prague, Czech.
Next-Generation Sequencing Eric Jorgenson Epidemiology 217 2/28/12.
HaloPlexHS Get to Know Your DNA. Every Single Fragment.
Genboree Discovery Process Integration Aleksandar Milosavljevic, PhD Baylor College of Medicine January 10 th, 2008; modified April 1 st 2008.
Copy Number Variation Eleanor Feingold University of Pittsburgh March 2012.
Lecture 6. Functional Genomics: DNA microarrays and re-sequencing individual genomes by hybridization.
Computational methods for genomics-guided immunotherapy Sahar Al Seesi Computer Science & Engineering Department, UCONN Immunology Department, UCONN Health.
Lecture-3 EXOME SEQUENCING Huseyin Tombuloglu, Phd GBE423 Genomics & Proteomics.
Genetic disorders can be due to any of the following factors: A. Monogenetic Disorders: Caused by a mutation in a single gene 1. Autosomal recessive alleles:
Supplemental Figure 1. Bias-corrected NGS bioinformatics strategies. Paired-end DNA sequencing reveals the sequence of the genomic clone, the sample ID.
Current Data And Future Analysis Thomas Wieland, Thomas Schwarzmayr and Tim M Strom Helmholtz Zentrum München Institute of Human Genetics Geneva, 16/04/12.
Analyzing DNA using Microarray and Next Generation Sequencing (1) Background SNP Array Basic design Applications: CNV, LOH, GWAS Deep sequencing Alignment.
Analysis of Next Generation Sequence Data BIOST /06/2015.
CSE280Stefano/Hossein Project: Primer design for cancer genomics.
Recent Advances in Genomic Science Julian Sampson Institute of Medical Genetics, Cardiff.
Global Variation in Copy Number in the Human Genome Speaker: Yao-Ting Huang Nature, Genome Research, Genome Research, 2006.
Different microarray applications Rita Holdhus Introduction to microarrays September 2010 microarray.no Aim of lecture: To get some basic knowledge about.
1 Finding disease genes: A challenge for Medicine, Mathematics and Computer Science Andrew Collins, Professor of Genetic Epidemiology and Bioinformatics.
A comparison of somatic mutation callers in breast cancer samples and matched blood samples THOMAS BRETONNET BIOINFORMATICS AND COMPUTATIONAL BIOLOGY UNIT.
Research Techniques Made Simple: Next-Generation Sequencing:
Ultra-Deep Sequencing of Multiplex-PCR Enriched Hotspot and
Nucleotide variation in the human genome
Cancer Genomics and Class Discovery
Reverse Complement PCR: fast, low cost amplicon based NGS
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Sahar Al Seesi University of Connecticut CANGS 2017
Genomic alterations in breast cancer cell line MDA-MB-231.
Figure Revised Niemann-Pick disease type C (NP-C) diagnostic algorithm for the use of biomarkers and genetic testing Revised Niemann-Pick disease type.
Diverse abnormalities manifest in RNA
Figure 1 Mutations in SPG7 in a family with primary lateral sclerosis
Development of a Novel Next-Generation Sequencing Assay for Carrier Screening in Old Order Amish and Mennonite Populations of Pennsylvania  Erin L. Crowgey,
Concordance between the genomic landscape identified by whole-exome sequencing of plasma cfDNA and tumor; DNA and recurrence of KDR/VEGFR2 oncogenic mutations.
Presentation transcript:

Genetic Cancer Susceptibility (GCS) Genomics in I4C James McKay

GCS aims and focus I.Identify and understand genetic susceptibility to cancer applying cutting edge genomics techniques to the large bio- repositories within GEN lung, head and neck, kidney cancers and lymphomas II. Genetics Platform (GSP) Develop and maintain genotyping / genomic applications Including the related bioinformatics

GCS studies Cancers prioritized by IARC GWAS – lung, hodgkin’s lymphoma, UADT cancers Pedigree analysis – Exome sequencing in unusual pedigrees NPC cancers in Sarawak, Malaysia, Bladder Cancer in Iran Novel strategies. Use an intregrative approach to maximise our ability to perform meaningful studies within limited sample sets ( mutation profiles, loss of second copy of alleles. eQTL)

Bidayuh NPC pedigree Kuching Sarawak Malaysia Pedigree in a loose sense, three isolated villages Discovery Exome sequencing + linkage analysis (snp arrays) Assess for segregation Validation Screening candidate genes in additional cases

Genetics platform Flexibility, suitability to IARC studies and bioropositories Next generation sequencing LifeTechnology 5500 and PGM Illumina bead array High performance computer cluster Highly dynamic field, what possible this week, needs to be revised next week

Rapid and cheap comprehensive sequencing of many tumours is only now becoming feasible 72.8 €/sample 12.2 €/sample  X 6 cost through GCS optimization Targeted Resequencing Ion Torrent Experiment Cost (35 amplicons, 150X coverage) Exome/Genome Sequencing Many genes/Few samples Targeted Resequencing Few genes/Many samples

Genes mutated within HNC Stransky N et al (2011). Science Within 100 (TCGA) head and neck tumours, 95% mutations reported within 10 genes. It becomes possible to design targeted sequencing assays to cover most mutations, and at low cost. Mutations can be detected in the DNA from plasma (0.1-1%)

Highly multiplexed PCR used for enrichment. Targeted combined amplification of genes up to amplicons/PCR 5 genes >240,000 amplicons whole exomes Using this to resequence candidate genes. 20 euros/sequence five genes. Applied to circulate tumour DNA (10,000X) to capture rare events Qaigen Generead

I4C genomics applications TEL/AML translocations What is there prevalence at birth (1% or 0.1%?). Dosage? Is presence of TEL/AML translocations predictive of ALL later in life? Is there a relationship between TEL/AML dose/patient and ALL? Is modified by other factors? Birthweight, age of onset (early ALL cases), gender…

TEL/AML translocation assayed using RNA Limitation is the availability of appropriate bio-specimens

A Zelent et al, Oncogene (2004) DNA assay for TEL/AML translocation Complicated as the breakpoint for the translocations is the variable. Complicated as the breakpoint for the translocations is the variable.

TEL (ETV6) gene 12 kb AML1 (RUNX1) gene 100 kb Tiled highly multiplexed PCR Low strigency PCR, coupled with very deep sequencing (10,000) to capture very rare variants N=60 (200bp) N=500 (200bp)