genotype-tissue expression (gtex) · 2012. 10. 24. · genotype-tissue expression (gtex) nih common...
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Genotype-Tissue Expression (GTEx)
2012 BRN Symposium
February 23, 2012
NHGRI: Jeff Struewing, Simona Volpi and Cathy NgNIMH: Susan Koester and Roger Little
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Genotype-Tissue Expression (GTEx)
NIH Common Fund (commonfund.nih.gov/gtex)Co-chairs – Eric Green, NHGRI & Tom Insel, NIMHLead ICs (Program Officers)
NHGRI (Jeff Struewing, Simona Volpi, Gary Temple)NIMH (Su Koester, Roger Little)NCI (Carolyn Compton, Jim Vaught)NHLBI (Weiniu Gan)
Active participation from many other ICs
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Agenda
Scientific backgroundOverview of GTEx Implementation of GTEx Where we are
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Nature Genetics 42 , 897–901 (2010) A genome-wide association study identifies a susceptibility locus for refractive errors and myopia at 15q14
Manhattan Plot
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Challenges in Functional Analysis of a GWAS Finding
Most associations do not involve changes in the coding region of protein-coding genes
Multiple ‘candidate’ genes may lie within the associated interval
No annotated genes may be near the associated region
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rs7216389lymphoblastoidmRNA expression
P = 1 x 10-22 for association of SNP genotype with expresion level
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Expression Quantitative Trait Locus(eQTL)
Gene expression (transcript levels) can be treated as heritable quantitative traits.
Genomic sites associated with such expression traits are called expression quantitative trait loci or eQTLs.
An eSNP is a specific DNA sequence variant that is associated with a change in the level of expression of a given gene.
eQTLs can influence expression traits in cis or in trans.
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Following up GWAS finding with expression analysis
Test for correlation between mRNA transcript levels, in a relevant tissue, with genotypes at the most significant SNP *
Genome-wide study - LD interval withsignificant disease-associated SNPs-lo
g(P-
valu
e)
SNPs
*Other significant SNPs
* **
Most significant SNP
*
Transcripts in interval
log
mR
NA
ex
pres
sion
leve
l
AA AB BB
genotype atstrongest GWAS
SNP *
Disease Tissue
Normal Tissue
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eQTLs and Human Disease Genetics
REALLYGOODSTUFF!
Genetic variants associated with clinical traits(GWAS hits)
Genetic variants (eQTLS) associated with gene expression traits
Provides way to infer causal mechanisms of GWAS loci.Natural genetic variation as perturbations of gene regulation.Beyond GWAS
DNase I sensitivity QTLs are a major determinant of human expression variation. Degner JF et al, Nature 2012 Feb 5
Gene regulatory variant of possible disease
relevance
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Agenda
Scientific backgroundOverview of GTEx Implementation of GTEx Where we are
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GTEx – Overview (I)
Goal – Establish a resource database and tissue bank in which to study the relationship between genetic variation and gene expression in reference/non-diseased human tissues
http://commonfund.nih.gov/GTEx
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GTEx – Overview (II)
Common Fund 2-year feasibility pilot project
Specific aims:Enroll 160 post-mortem donors, unselected for disease statusObtain high-quality RNA from 30+ tissues per donor
Parallel series of surgery donors (4-5 tissues)
Measure gene expression and high-density genotypes –identify cis eQTLs
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GTEx – Pilot Milestones
Enrollment of 10 donors/month
RNA samples with RIN>6 for at least 70% of 12 tissues
Identify cis-eQTLs for 4-10% of transcripts
Scale up: additional 750 donors
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Autopsy Donors Surgery Donors
Goal n=160 Goal n=100
From each donor From each donor
Goal – 30+ tissues(Total n ~ 5,000 tissues)
For each tissue For each tissue
Fix in PAXGene Tissue(0.2 – 0.5 gram aliquots)
One aliquot One aliquot
High‐quality RNA (Goal > 70%)
RNA‐Seq to 20‐30 million reads + expression array an overlapping subset76 bp paired‐end Illumina HiSeq2000
GTEx
Goal – 5 tissues(Total n ~ 500 tissues)
One aliquot fixed forhistopathologic
reviewHomogenize, extract RNA,
measure RNA qualityBSS – Biospecimen Source Site CBR – Comprehensive Biospecimen ResourceLDACC – Laboratory, Data Analysis, and Coordinating Center v1/20/12
Storage
Fix in PAXGene Tissue(0.2 – 0.5 gram aliquots)
fibroblast cell line
SNP Chip &lymphoblastoid cell line
NIH‐supportedbrain bank
BSS
CBR
LDACC
Storage
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GTEx – Target Tissues
Fibroblast Cell Line Blood Lymphoblastoid Cell Line
Information updated on February 15, 2012
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Agenda
Scientific backgroundOverview of GTEx Implementation of GTExWhere we are
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Statistical Methods Development (R01s)• Cox/Nicolae (Univ Chicago)• Dermitzakis/Guigo/Koller/McCarthy (Univ Geneva)• Liu (Harvard)• Pritchard (Univ Chicago)• Rusyn/Nobel/Wright (UNC-Chapel Hill)
Brain Bank
Laboratory, Data Analysis & Coordinating Center GTEx Database
http://www.ncbi.nlm.nih.gov/gtex/
Van Andel Research Institute Comprehensive Biospecimen Resource (CBR)
Biorepository Operations & Pathology Review
SAIC-FrederickComprehensive Data Resource (CDR)
caHUB Data Coordinating Center
• National Disease Research Interchange• Organ Procurement Organizations
• LifeNet Health• Gift of Life Donor Program
• Surgery & autopsy• Drexel University College of Medicine• Albert Einstein College of Medicine• Virginia Commonwealth University
• Roswell Park Cancer Institute• Organ Procurement Organization
• Upstate New York Transplant Service• ELSI study
• Virginia Commonwealth University
• Project coordination• Nucleic acid extractions• Genotyping• Gene expression (array & RNA-Seq)• Statistical analysis
• eQTL display• Controlled access to
individual-level data
• Receive whole brains
• Dissect 11 regions for expression analysis
NCI/SAIC-Frederick sub-contractors
Information updated on February 15, 2012
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Agenda
Scientific backgroundOverview of GTEx Implementation of GTEx Where we are
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GTEx – Enrollment
May 2011 – February 4, 2012: 100 donors total
Overall average of ~11 donors/month
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GTEx – RNA quality
RNA samples with RNA Integrity Number (RIN) ≥ 6 for at least 70% of 12 tissues
Based on analysis for the first 57 donors (average of 26 tissues collected):
62% (909/1457) samples have RIN>6Over 70% of 12 tissues have RIN>6
Biospecimens collected as of January 31, 2012:2300 Paxgene Tissue Aliquots440 Frozen Brain Tissue Samples (Brain Bank)
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GTEx – eQTLs
Identify cis‐eQTLs for 4‐10% of transcriptsSamples size thus far is too small to calculate cis‐eQTLs. However, genotyping and expression profiling are underway. The expected analysis by March 2012 includes:
Genotyping (5M Illumina): 48 donorsExpression Arrays (Affymetrix): 480 samplesRNA‐Seq (Illumina HiSeq2000): 290 tissues
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Acknowledgments
National Disease Research Interchange (NDRI)
SAIC‐Frederick
John Lonsdale, Jeff Thomas and Team Greg Korzeniewski and Team
Roswell Park Cancer Institute Van Andel Research Institute
Barbara Foster and Team Scott Jewel and Team
Broad Institute Univ Miami Brain Bank
Kristin Ardlie, Wendy Winckler and Team Deborah Mash and Team
Virginia Commonwealth University
Laura Siminoff and Team