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Genome Research at HKU Beyond the HapMap

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Title: Genome Research at HKU Beyond the HapMap


1
Genome Research at HKUBeyond the HapMap
  • Pak C. Sham
  • The University of Hong Kong
  • NRPGM Workshop, Jan 2007

2
Outline
  • HKU Genome Rsearch Centre
  • International HapMap Project
  • Development of Software Tools
  • Genome-Wide Association Studies

3
Established in 2002 with seed funding of HK 120M
from UDF
Mission
  • To lead the genome research in Hong Kong and
    South China region
  • To provide the expertise and infrastructure for
    studies in genomics, proteomics, and
    bioinformatics
  • To develop evidence-based medicine
  • To enhance the understanding of disease
    mechanisms for better healthcare
  • To provide education and training and enhance the
    public awareness in genome research

4
Executive Committee
  • Lap-Chee Tsui
  • Paul K.H. Tam
  • Si Lok
  • Pak C. Sham
  • Robert Curtain

5
Oligosynthesis
DNA Sequencing Gene Scan
MassArray Genotyping
2D Gel and DiGE
MDLC
Fluorescence Polarization
Pyrosequencing
PCR Farm
Bioplex cytokine phosphoprotein assays
Quantitative PCR
Core Facilities
Mass spectrometry and Protein profiling
6
Affymetrix microarray system
Pathway analysis
Pathway Assist
Bioanalyzer
Core Facilities
Gene expression profiling
Genotype data management system, linkage and
association analyses
7
  • The International HapMap Project aimed to create
    a genome-wide database of common genetic
    variation.
  • Prof. Lap-Chee Tsui and the GRC led the Hong Kong
    HapMap Group (HKHMG) and secured HK 35M funding
    (UGC and ITF) to perform the genotyping of the
    short arm of Chromosome 3.
  • The GRC established the Sequenom MassArray
    platform for high-throughput genotyping, and
    generated the required 10 million genotypes
    within 18 months.

8
Proteomics
Colorectal cancer
Bioinformatics
Collaborative Research
Hirschsprungs disease
Lung Cancer
L-SIGN (SARS)
9
UGC-funded HK 50M research program led by
Professor Kathy Cheah
Skeletal development and degeneraton from infancy
to old age
Integration of modern genomic science and
technology with clinical practice.
Candidate gene and genome-wide approaches for
identifying genes and gene networks involved in
degeneration of intervertebral discs
Mouse models for studying the genomics and
proteomics of normal and abnormal skeletal
development
10
Training
  • The GRC provides a training ground for graduates
    students, postdoctoral fellows,
    clinician-scientists and biotechnologists.
  • The GRC Inaugural Symposium (2004)
  • The Croucher Foundation Advanced Study Institute
    2006 Statistical Genetics From Haplotype Maps
    to Disease Susceptibility Genes
  • The International Proteomics Symposium (IPS2006)
  • The 8th International Meeting on Human Genome
    Variation and Complex Genome Analysis (HGV2006)
  • The Croucher Foundation Advanced Study Institute
    2007 Genome Informatics From Gene Finding to
    Systems Biology

11
The Centre for Applied Genomics (TCAG) at the
Hospital for Sick Children, Toronto
International Partnership
Kings College University of London
Yale University
Harvard University
University of Oxford
12
Outline
  • HKU Genome Rsearch Centre
  • International HapMap Project
  • Development of Software Tools
  • Genome-Wide Association Studies

13
HapMap Project Launch
  • WASHINGTON, Oct 2002
  • An international research consortium today
    launched an approximately 100 million
    public-private effort to create the next
    generation map of the human genome.
  • The International HapMap Project builds on the
    freely available sequence of the human genome
    produced by the International Human Genome
    Sequencing Consortium.
  • "The HapMap will provide a powerful tool to help
    us take the next quantum leap toward
    understanding the fundamental contribution that
    genes make to common illnesses like cancer,
    diabetes and mental illness."

14
The Hong Kong HapMap Group
  • University of Hong Kong
  • Lap-Chee Tsui
  • Paul Tam
  • William Mak
  • You-Qiang Song
  • Pak C. Sham
  • Chinese University of Hong Kong
  • Mary Waye
  • Stephen Tsui
  • Hong Kong University of Science and Technology
  • Jeffery Wong
  • Hannah Xue

15
Study Design
  • Samples
  • CEPH (30 trios) Europeans
  • Nigeria (Yoruba Ibadan 30 trios) Africans
  • Han Chinese (Beijing 45 unrelateds) East Asians
  • Japanese (Tokyo 44 unrelateds) East Asians
  • Genotyping
  • All common SNPs (gt 5 frequency)
  • Phase I 5 kb initial density across genome (1
    million SNPs)
  • Phase II 1 kb density (gt 2.5 million SNPs)
  • Deep resequencing of 10 x 500 kb regions (48
    individuals 1 SNP/300 bp) ENCODE

16
Genotyping Platforms
  • Illumina BeadArrays
  • Sequenom MassExtend (Hong Kong)
  • ParAllele MIP
  • Third Wave Invader
  • Perkin-Elmer AcycloPrime-FP
  • High-density oligonucleotide array

17
Genotype Data Quality
  • Blinded quality assessment exercise
  • Very high overall genotyping accuracy (99.7)
  • All centres contributing data of high (gt99)
    quality.

18
Phase 1 HapMap Paper
International HapMap Consortium, Oct 2005
19
Allele Frequencies Differences in Populations
20
LD patterns in Beijing /Tokyo samples
21
Tag SNP Information Capture
Curves right to left Random Selected by
pairwise tagging Selected by multi-marker
tagging
22
Haplotype Diversity and Ancestral Recombination
23
80 recombination occurs in 15 sequence
24
The HapMap Homepage
25
Empirical assessment of ancestry
CEPH/European Yoruba Han Chinese Japanese
2K SNPs
26
Empirical assessment of ancestry
Entire Phase I HapMap
27
Empirical assessment of ancestry
Han Chinese Japanese
10K SNPs
28
Outline
  • HKU Genome Rsearch Centre
  • International HapMap Project
  • Development of Software Tools
  • Genome-Wide Association Studies

29
Summary Cluster and set-cover algorithms are
developed to obtain a set of tag SNPs that can
represent all the known SNPs in a chromosomal
region, subject to the constraint that all SNPs
must have a squared correlation R2 gt C with at
least one tag SNP, where C is specified by the
user.
Bioinformatics (2005)
30
Tag SNP selection using both LD and functional
information
Sham et al (2006) Bioinformatics
31
Data Management System for Affy 500K
  • Database system with web-based interface
  • Automated genotype calling using DM and BLRMM
    algorithms
  • Quality control checks
  • Consistency between sty and nsp arrays
  • Genotype error rate estimates
  • Generation of data files for further analyses

32
Genotype Error Rate Estimation
33
PLINK
  • Data management
  • Summary statistics
  • Population stratification
  • Association analysis
  • IBD estimation

34
Outline
  • HKU Genome Rsearch Centre
  • International HapMap Project
  • Development of Software Tools
  • Genome-Wide Association Studies

35
Genome-wide association studies at HKU
  • Ongoing
  • Hirschsprungs Disease
  • Intervertebral Disk Degenerative
  • About to start
  • Osteoporosis
  • Hepatitis B
  • Schizophrenia
  • Being planned
  • Colorectal Cancer
  • Ischaemic Stroke

36
Summary
  • The HKU Genome Research Centre aims to become a
    regional centre for genome research
  • Establishment of core technology platforms
  • Participation in the International HapMap Project
  • Development of statistical methods and software
    tools
  • Initiation of genome-wide association studies of
    several common diseases
  • Establishment of international collaborations

37
Opportunities for collaboration
  • Sharing of samples
  • International Consortia
  • Sharing of facilities
  • Increased efficiency
  • Sharing of expertise
  • Exchange visits, workshops, joint supervision of
    students
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