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Understanding the Next Steps in Determining the Role of the Genome in IBD
Judy H. Cho, M.D.
Ward-Coleman Professor of Translational Genetics and Medicine, Icahn School of Medicine at Mount Sinai
December 6th, 2014
What naturally occurring genetic polymorphisms are associated with IBD?
Value: molecular insight profoundly shaped the landscape of IBD research
What’s worked and what hasn’t Family-based: linkage NOD2. Otherwise, family-based studies have not
worked—re-vist with microbiome-based studies & genetic counseling Case-control: 163 loci and counting
Surprises & advances Magnitude of sample sizes required unexpected: NOD2 (Nature 2001)
involved 416 CD samples - > 30,000 cases Number of significant loci larger than expected: 163 and counting Advances: autophagy, IL-23 pathway, M1-M2 macrophage subsets Challenges: long journey from genes biology drug targeting new drugs
Assessment
Questions What naturally occurring genetic polymorphisms are
associated with IBD? What are the functional consequences of IBD-
associated polymorphisms?
What are the functional consequences of IBD-associated polymorphisms?
Altered cytokine responses to microbial stimulation : NOD2, XIAP (direct); many indirect effects
Genotype-dependent variable bacterial clearance: autophagy, NADPH oxidase
Direct ex vivo analyses IL23R and Th17/Tc17 cells (Sarin et al., PNAS 2011) NOD2 & Paneth cell morphologies (Van Dussen
Gastroenterology 2014) Altered regulation of gene expression
What are the functional consequences of IBD-associated polymorphisms?
Altered cytokine responses to microbial stimulation : NOD2, XIAP
Genotype-dependent variable bacterial clearance: autophagy, NADPH oxidase
Direct ex vivo analyses IL23R and Th17/Tc17 cells (Sarin et al., PNAS 2011) NOD2 & Paneth cell morphologies (Van Dussen
Gastroenterology 2014) Altered regulation of gene expression
Expression quantitative trait loci (eQTL) mapping
mRNA expression as a continous trait Heritable Mappable to specific SNPs
Cell lines, tissues and context-specificity
Presently defined eQTLs likely only a subset of genuine eQTLs
LPS- & IFN g stimulated monocytes define more eQTLs 80% of transcripts with eQTLs
Morley, et al., Nature 2004; 430: 743Dixon, et al., Nature Genetics 3007; 39: 1202Fairfax et al., Science 2014
Fine-mapping in autoimmunity
Fine-mapped autoimmune loci 90% are non-coding 60% map to immune enhancers
Histone marks: greatest enrichment seen for H3K27ac—active/stimulated enhancers
Disease-associated SNPs in enhancers are near, but not within consensus transcription factor binding sites
Farh et al., Nature 2014
Enrichment of CD loci genes in open chromatin regions of Th17 cells, but not monocytes
Apples to oranges: Th17 cells vs. monocytes
Pending: tissue-specific enhancer landscape of organ- and context-specific tissue macrophages
Category (N) CD loci
(#gene=1328) non CD loci
(#gene=23,134) log OR
(95% CI) p-value
Yes (14,267) 945 (71.2%) 13,322 (57.6%) No (10,195) 383 (28.8%) 9812 (42.4%) Yes (16,317) 862 (64.9%) 15,455 (66.8%)
No (8145) 466 (35.1%) 7679 (33.2%)
Th17 cell DNase I HS
site Monocyte DNase I HS
site
-0.08 (-0.20, 0.032)
0.6 (0.48, 0.72)
5.90E-22
0.15
From co-expression to (genetic) causal networks
Gene in IBD-associated locus
Highly correlated RNA expression between NOD2, IL10 & HCK (hematopoietic cell kinase)
HCK: key for differentiation of M2 macrophages
Cis eQTL in HCK: variable HCK expression is driving variable NOD2 & IL10 expression
NOD2
HCK
IL10VDR
SLC11A1
DOK3
CARD9
LGALS9
aka NRAMP
Jostins et al, Nature 2012
Eric Schadt
Primary value of direct ex-vivo analyses: pathogenic & protective cells
High dimensional analyses needs to be matched to deep clinical information
Basic science questions Cellular plasticity and
diffentiation DNA-RNA-protein
Uninflamed Inflamed
CD14
HLADR
BDCA3
Defining innate cell hierarchies by high-dimensional Cytof analysis
What are the functional consequences of IBD-associated polymorphisms?
Altered cytokine responses to microbial stimulation : NOD2, XIAP
Genotype-dependent variable bacterial clearance: autophagy, NADPH oxidase
Direct ex vivo analyses IL23R and Th17/Tc17 cells (Sarin et al., PNAS 2011) NOD2 & Paneth cell morphologies (Van Dussen
Gastroenterology 2014) Altered regulation of gene expression
Acceleration of in vitro & in vivo studies with CRISPR/CAS9 technologies: refined genetic & molecular definition will improve modeling
Questions What naturally occurring genetic polymorphisms are
associated with IBD? What are the functional consequences of IBD-
associated polymorphisms? Why do Ashkenazi Jewish populations have a higher
IBD prevalence? Rare variants Common variants
Rare variants are “less rare” in AJs
128 whole genome sequenced in AJs
Rare variants are “less rare” in AJs compared to Flemish
Profound population bottleneck in AJs
Derived allele frequency
AJ Flemish
Carmi et al., Nature Commun 2014
IBD Genetic Burden Score
Ashkenazi Jews with a higher composite burden score than non-Jewish European ancestry
Developing integrative models of common variant risk?
Striking overlap between IBD & mycobacterial susceptibility
163 IBD loci
6/7
7 multigenic leprosy
GWAS loci
7/9
9 single gene mycobacterial (Tb) genes
NOD2RIPK2
**TNFSF15LRRK2IL23R
C13orf31
IL12B STAT1 IRF8 TYK2 STAT3
IFNGR2IFNGR1
Anti-TNF treatment of IBD associated with re-activation of latent mycobacterial disease
NEJM 2001; 345: 1098
Epidemiologic support for the Jewish-Tb hypothesis
Population Deaths per 100,000
Mussulman Arabs 1130
Europeans 513
Jews 75
Deaths from tuberculosis, London 1894-1900 Population NY Brooklyn
African-American 774.21 531.35
Ireland 645.73 452.79
Bohemia 499.13 347.22
Russia and Poland (mostly Jews) 98.21 76.72
Scotland 384.12 269.24
Scandinavia 357.00 218.92
Canada 352.32 266.27
Germany 328.80 295.61
France 394.98 252.82
England and Wales 322.50 233.78
Italy 233.85 123.00
United States (White) 205.14 180.79
Hungary (mostly Jews) 155.05 120.77
Jacobs J. The Jewish Encyclopedia; a guide to its contents, an aid to its use. New York, London: Funk & Wagnalls company; 1906.
NYC, 6 years before 1890 per 100,000
Polygenic adaptation: positive selection at scores to hundreds of
genes that confer selective advantage
Questions What naturally occurring genetic polymorphisms are
associated with IBD? What are the functional consequences of IBD-
associated polymorphisms? Why do Ashkenazi Jewish populations have a higher
IBD prevalence? What factors are genetic and what are
non-genetic/stochastic/developmental? Better modeling of genetic contributions More frequent modeling of environmental/stochastic
factors
Systematic analysis of rare variants via enteroids
Bank of rare variants broadly amenable for study
Stem cells
Biopsy
Add growth factorsStem cells
> Ascertaining by genotypes> CRISPR-CAS9
IgA-coating enriches for colitogenic bacteria
Stool-based collections: IgA enrichment may identify functionally important bacteria—reducing microbial complexity
Frequent sampling
Palm et al., Cell 2014
Questions What naturally occurring genetic polymorphisms are
associated with IBD? What are the functional consequences of IBD-
associated polymorphisms? Why do Ashkenazi Jewish populations have a higher
IBD prevalence? What factors are genetic and what are
non-genetic/stochastic/developmental? UC: limited vs. extensive disease CD: ileal post-op—modeling first steps of disease
recurrence Age-dependent effects: disease severity & age of onset
Acknowledgements Cho lab
Ken Hui Monica Bowen Kyle Gettler Kaida Ning Nai-Yun Hsu Felix Chuang Yashoda Sharma
Mount Sinai collaborators Inga Peter Eric Schadt Miriam Merad Bruce Sands Jean-Fred Colombel
NIDDK IBD Genetics Consortium Steve Brant Richard Duerr Dermot McGovern John Rioux Mark Silverberg Mark Daly Phil Schumm
Thad Stappenbeck-Wash U: enteroids
Yale University Clara Abraham Richard Flavell
RISK Pediatric Consortium Subra Kugathasan Ted Denson