Upload
pierre-lindenbaum
View
2.115
Download
0
Embed Size (px)
DESCRIPTION
Golden Gate technology an efficient technology for performing Association studies with tag-SNPs on large cohort
Citation preview
1
Golden Gate technology an efficient technology for
performing Association studies with tag-SNPs on large cohort
M. Vanpeene, V. Decaulne, S. Roy,
P. Lindenbaum and F. RousseauIntegraGen SA, www.integragen.com
2
Strategy
Molecular Diagnostics
Target Validation
Patient collections
Therapeutic Focus
Bi-polarDisorder
Obesity
Autism
Type 2Diabetes
Others
GenomeHIP™
IntegraCHIPtm
Access by IntegraGen
Access by Partner
Quicker, Faster, with more precision
Objectives: Development of Genetic Tests & Identification of Targets
3
DNA fragmentation and addition of Flags
Denaturation and Mix DNA
Re-hybridize to form hybrid DNA molecules
LOCALISATION OF THE IBD REGION ON THE GENOME
Hybridisation on DNA chip (IntegraChip) representing the whole human genome
(~ 5000 clones)
Elimination of non-IBD Fragments
GenomeHIPTM Principle Summary
:Identical By Descent (IBD)regions
KEY:
:Non Identical By Descent (IBD)regions
Identification of all loci implicated in the disease
4
Whole genome DNA microarray
12,000 spots in 2 duplicate zones of 24 blocks each
Cy5 : Test DNA
Cy3 : Reference DNA
IntegraChipTM V7: a whole genome BAC-DNA microarray
5244 BAC clonesMedian of 0.5 Mb between clones
Clone identity by end sequencing
5
GenomeHIP results• 119 sibpairs (T2D) traited by genomeHIP
• Three most significant linkage results
6
Fine-mapping strategy: High density SNP genotyping
SNP selection: Gene centered (+10 kb on each side)
OPA Designer ToolSelection per LD block of the SNP
which presents the best design score(Exclusion of SNPs with score <0.6
or 0.4 for coding SNP)
All SNPs contained in each gene in these 3 regions
Submission to Illumina
Score Design for all SNPs (0 to 1.1)
LD Information from HapMap for each gene,
Using pairwise method, r²=1, maf>0.1 in cauc population
1 OPA containing 1536 tag-SNPs
7
Genotyping Production Phase
• Collection– 2068 cases/ controls– 22 plates(96)
• Genotyping Production– 4 plates (96 well format) were genotyped /week (2 FTEs)– 94 samples / plate + 2 CEPH samples (one identical/ plate)
– Allele Calling by clustering
8
Key Performances96% of delivered genotypes
• Call Frequency: 92 % of SNPs
threshold >95% of delivered genotypes
• Average Call rate: 96% 97,4% of samples with >95% genotyped SNPs
• Reproducibility: 99.92% Comparison on 1300 SNPs
for 23 times the same sample
Theorical comparison : 29,900
Delivered genotypes: 29,492
Number of discrepancies: 24
(on 21 different SNPs)
• Concordance: 99.45%1328 genotyped SNPs
on 15 samples (CEPH members genotyped on HapMap project)
Theorical comparison : 19,920
Delivered genotypes: 19,502
Number of discrepancies : 107 (around 1/4 on 2 SNPs)
9
Relation between Design Score and Call Freq
With Call freq
<90%With Call freq
>90%
score design
Nber of SNPs
Nber of SNPs %
Nber of SNPs %
0.4 - 0.6 85 18 21,2% 67 78,8%
0.6 - 1 977 51 5,2% 926 94,8%
1.1 474 17 3,6% 457 96,4%
Total 1536 86 5,6% 1450 94,4%
10
About IntegraGen www.integragen.com
• IntegraGen is a pioneer in the field of Personalized Healthcare. The Company is dedicated to discovering genes associated with complex diseases and commercializing diagnostic tests to enable individualized diagnosis, prevention and treatment.
• IntegraGen has two commercial operations:– Diagnostic testing and counselling services are offered through
an ISO accredited Diabetes Competency Centre, based in Bonn Germany.
– A Genetic Services business, operating out of the company headquarters in Evry, France, provides customized genotyping and BAC array services to the research community.