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The functional relationship between rs1111875 and type 2 diabetes susceptibility
B T Macintyre, T Zheng, T Wahed
Introduction
Figure 1: Loci associated with T2D in the human genome. HHEX and IDE genes (located on chromosome 10) have been shown
to be significantly associated with T2D in humans.4 (Image taken from Frazer et al., 2009)8
Materials and Methods
Step 1: Genotype human foetal blood to
identify two homozygous rs1111875 alleles;
the C/C allele and the T/T allele. This will to
allow relative expression to be quantified.
Step 2: Generate a stable and functional
human β cell line according to the method
established by Ravassard et al. 16
Step 3: Design rs1111875 specific CRISPR
guide RNA (gRNA) sequence using the
protocol developed by Ran et al. 15
Step 4: Produce three isogenic β cell lines
using: (a) β cells without transfection; (b) β
cells transfected with all CRISPR reagents
except genetic material; (c) mutant cell line
with alternative homozygous genotype,
produced using CRISPR.
Step 5: Use ARMS PCR25 to confirm the
genotypes of each cell line (e.g. T/T(a),
T/T(b), and C/C(c))
Step 6: Perform TaqMan expression assays
on each of the cell lines to measure relative
HHEX and IDE expression.
Prospective Results
Discussion and Conclusion
References
(1) Applied Biosciences by Life Technologies, (2015). TaqMan Gene Expression Assay Protocol. [online] Available at: https://tools.lifetechnologies.com/content/sfs/manuals/cms_041280.pdf [Accessed 19 Jan.
2015].
(2) Bort R, Martinez-Barbera JP, Beddington RS, Zaret KS. Hex homeobox gene-dependent tissue positioning is required for organogenesis of the ventral pancreas. Development 2004 Feb;131(4):797-806.
(3) Bort R, Signore M, Tremblay K, Martinez Barbera JP, Zaret KS. Hex homeobox gene controls the transition of the endoderm to a pseudostratified, cell emergent epithelium for liver bud development. Dev Biol
2006 Feb 1;290(1):44-56.
(4) Diabetes Genetics Initiative of Broad Institute of Harvard and MIT, Lund University, and Novartis Institutes of BioMedical Research, Saxena R, Voight BF, Lyssenko V, Burtt NP, de Bakker PI, et al. Genome-wide
association analysis identifies loci for type 2 diabetes and triglyceride levels. Science 2007 Jun 1;316(5829):1331-1336.
(5) DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium, South Asian Type 2 Diabetes (SAT2D) Consortium,
Mexican American Type 2 Diabetes (MAT2D) Consortium, Type 2 Diabetes Genetic Exploration by Nex-generation sequencing in muylti-Ethnic Samples (T2D-GENES) Consortium, Mahajan A, et al. Genome-wide
trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility. Nat Genet 2014 Mar;46(3):234-244.
(6) Edwards SL, Beesley J, French JD, Dunning AM. Beyond GWASs: illuminating the dark road from association to function. Am J Hum Genet 2013 Nov 7;93(5):779-797.
(7) Fakhrai-Rad H, Nikoshkov A, Kamel A, Fernstrom M, Zierath JR, Norgren S, et al. Insulin-degrading enzyme identified as a candidate diabetes susceptibility gene in GK rats. Hum Mol Genet 2000 Sep
1;9(14):2149-2158.
(8) Frazer KA, Murray SS, Schork NJ, Topol EJ. Human genetic variation and its contribution to complex traits. Nat Rev Genet 2009 Apr;10(4):241-251.
(9) Harrison MM, Jenkins BV, O'Connor-Giles KM, Wildonger J. A CRISPR view of development. Genes Dev 2014 Sep 1;28(17):1859-1872.
(10) Hunter MP, Wilson CM, Jiang X, Cong R, Vasavada H, Kaestner KH, et al. The homeobox gene Hhex is essential for proper hepatoblast differentiation and bile duct morphogenesis. Dev Biol 2007 Aug
15;308(2):355-367.
(11) Krentz NA, Nian C, Lynn FC. TALEN/CRISPR-Mediated eGFP Knock-In Add-On at the OCT4 Locus Does Not Impact Differentiation of Human Embryonic Stem Cells towards Endoderm. PLoS One 2014 Dec
4;9(12):e114275.
(12) Li X, Li Y, Song B, Guo S, Chu S, Jia N, et al. Hematopoietically-expressed homeobox gene three widely-evaluated polymorphisms and risk for diabetes: a meta-analysis. PLoS One 2012;7(11):e49917.
(13) Qian Y, Lu F, Dong M, Lin Y, Li H, Chen J, et al. Genetic variants of IDE-KIF11-HHEX at 10q23.33 associated with type 2 diabetes risk: a fine-mapping study in Chinese population. PLoS One 2012;7(4):e35060.
(14) Ragvin A, Moro E, Fredman D, Navratilova P, Drivenes O, Engstrom PG, et al. Long-range gene regulation links genomic type 2 diabetes and obesity risk regions to HHEX, SOX4, and IRX3. Proc Natl Acad Sci U S
A 2010 Jan 12;107(2):775-780.
(15) Ran FA, Hsu PD, Wright J, Agarwala V, Scott DA, Zhang F. Genome engineering using the CRISPR-Cas9 system. Nat Protoc 2013 Nov;8(11):2281-2308.
(16) Ravassard P, Hazhouz Y, Pechberty S, Bricout-Neveu E, Armanet M, Czernichow P, et al. A genetically engineered human pancreatic beta cell line exhibiting glucose-inducible insulin secretion. J Clin Invest 2011
Sep;121(9):3589-3597.
(17) Reitz C, Cheng R, Schupf N, Lee JH, Mehta PD, Rogaeva E, et al. Association between variants in IDE-KIF11-HHEX and plasma amyloid beta levels. Neurobiol Aging 2012 Jan;33(1):199.e13-199.e17.
(18) Sander JD, Joung JK. CRISPR-Cas systems for editing, regulating and targeting genomes. Nat Biotechnol 2014 Apr;32(4):347-355.
(19) Scott LJ, Mohlke KL, Bonnycastle LL, Willer CJ, Li Y, Duren WL, et al. A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants. Science 2007 Jun 1;316(5829):1341-
1345.
(20) Sladek R, Rocheleau G, Rung J, Dina C, Shen L, Serre D, et al. A genome-wide association study identifies novel risk loci for type 2 diabetes. Nature 2007 Feb 22;445(7130):881-885.
(21) Staiger H, Machicao F, Stefan N, Tschritter O, Thamer C, Kantartzis K, et al. Polymorphisms within novel risk loci for type 2 diabetes determine beta-cell function. PLoS One 2007 Sep 5;2(9):e832.
(22) Steinthorsdottir V, Thorleifsson G, Reynisdottir I, Benediktsson R, Jonsdottir T, Walters GB, et al. A variant in CDKAL1 influences insulin response and risk of type 2 diabetes. Nat Genet 2007 Jun;39(6):770-775.
(23) Steneberg P, Bernardo L, Edfalk S, Lundberg L, Backlund F, Ostenson CG, et al. The type 2 diabetes-associated gene ide is required for insulin secretion and suppression of alpha-synuclein levels in beta-cells.
Diabetes 2013 Jun;62(6):2004-2014.
(24) WHO Diabetes factsheet http://www.who.int/mediacentre/factsheets/fs312/en/ accessed:16/01/2015
(25) You FM, Huo N, Gu YQ, Luo MC, Ma Y, Hane D, et al. BatchPrimer3: a high throughput web application for PCR and sequencing primer design. BMC Bioinformatics 2008 May 29;9:253-2105-9-253.
(26) Zeggini E, Weedon MN, Lindgren CM, Frayling TM, Elliott KS, Lango H, et al. Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes. Science 2007 Jun
1;316(5829):1336-1341.
(27) Zhang J, McKenna LB, Bogue CW, Kaestner KH. The diabetes gene Hhex maintains delta-cell differentiation and islet function. Genes Dev 2014 Apr 15;28(8):829-834.
 Type 2 diabetes (T2D) is the most common form of diabetes in the human population (90% of people
with diabetes around the world), affecting over 300 million people.24
 The significantly increased morbidity and mortality in people with T2D, and the rising prevalence over
recent years, makes elaborating the genetic basis of the disease very important.
 GWAS meta-analysis showed that the C allele of rs1111875, a SNP within an enhancer region, is strongly
associated to T2D in the LD block on chromosome 10q23.33, which contains the genes IDE, KIF1117, and
HHEX.5,12,13,19
 Knock-out rat in which IDE has been deleted exhibit T2D7, while deletion of HHEX is embryo lethal2,3;
HHEX is a transcription factor that is essential for normal pancreatic development2,3,10,21,27, therefore
dysregulation of HHEX expression may contribute to T2D via aberrant downstream interactions.
 The aim of this study is to investigate the significance of rs1111875 to the expression of IDE and HHEX;
we anticipate that rs1111875 modulates the enhancer’s activity on one or both of these genes, which
would provide a functional basis for its association with T2D.
Potential outcomes:
1. Increased expression of HHEX and/or IDE
Upregulation of HHEX suggests that the mutant
enhancer contribute to T2D in a complex manner.
However, upregulation of IDE is unlikely to indicate
a functional relevance in T2D.
2. Decreased expression of HHEX and/or IDE
Downregulated IDE suggests that the enhancer
contribute to T2D by increasing insulin resistance
and impairing secretion of insulin.23
Downregulated HHEX suggests that the enhancer
contribute to T2D by reducing epistasis, given that
it is a transcription factor.
3. No change in expression
This would confirm the null hypothesis that
rs1111875 does not contribute to T2D at this locus
suggesting other SNPs in proxy to this SNP maybe
linked to the expression of these genes.
1. Beta cell culture
Human foetal pancreatic β cells (hfpβ cells) must be used because the proliferative potential of adult β
cells is extremely low, and procedures for generating functional β cells from human embryonic stem cells
have not been fully developed.
Although hfpβ cells are anticipated to be crucial to T2D research (given the significance of the differences
between humans and animal models), differences between in vivo and in vitro β cells may distort
experimental results.
2. In vitro experiment6
Advantages:
Ease of manipulation
Cell homogeneity
Extended replicative capacity in generating specific cell of interest
Disadvantages:
Transcription profiles between in vivo human beta cells and in vitro beta cells.16
Limited access to tissue samples.
3. CRISPR9
Advantages - Less labour intensive, higher targeting specificity, high transfection efficiency.11
Why use CRISPR instead of ZFN and TALENs?
ZFNs induce off-target cleavage and assembly of multiple ZFNs lead to reduced specificity to target DNA.
TALENs enable highly specific targeting of genes, but the length of DNA it can recognise is limited.
5. TaqMan
Advantages:
Differentially labelled fluorophore probes allow amplification of two distinct sequences in one reaction.
The use of probe and primers to the region of interest makes this technique highly specific.
Post-PCR processing is eliminated, which reduces assay labour and material costs.
Disadvantage:
Poor primer design can lead to nonspecific binding and amplification of inappropriate genes.
Synthesis of different probes is required for different sequences.
The Future:
If the rs1111875 risk allele (C) significantly alters HHEX and/or IDE gene expression in hfpβ cells, this
suggest a potential mechanism by which this can contribute to T2D, providing a possible method for
modifying HHEX and/or IDE gene expression in human beta cells.
If no difference in expression is observed, other significant SNPs can be investigated within the LD block
using the same methods.12,21,22,26
Additional loci associated with T2D could potentially be investigated using a similar method.14,22
Figure 4: SNP genotyping assay using ARMS PCR
The foetal blood sample genotyped in step 1 of Materials and
Methods must either be homozygous for the C allele (pink) or
the T allele (dark blue). The mutant cell line produced using
CRISPR will be engineered to be homozygous for the other
allele. (Figure adapted from You et al., 2008)25
Figure 5: TaqMan expression assay results: If the risk allele (C) increases expression of HHEX or IDE, results
resembling the blue lines will indicate this by showing a higher RFU score than the alternative allele (T, which would
be represented by the green lines).1
Figure 2: Pairwise linkage disequilibrium diagram for IDE-KIF11-HHEX. The bar graph represents the negative logarithm of the
P-value for each SNP; this study demonstrates the significance of the association between rs111185 (indicated in the black box)
and T2D (-log10[P] = >4). The asterisk indicates that this SNP was chosen for confirmatory studies. (Figure adapted from Sladek
et al., 2007)20
Figure 3: Comparing CRISPR used by prokaryotes and artificially
designed CRISPR.
A) CRISPR system in prokaryotes incorporate foreign DNA into
CRISPR arrays, producing crRNA with a protospacer region
complementary to the foreign DNA. crRNA and tracrRNA are
associated with the cas9 protein complex, which recognise and
cleave foreign DNAs bearing the protospacer sequences. B)
Artificially designed gRNA complex uses a fused crRNA and tracrRNA
sequence. A single RNA complexes with cas9 to mediate cleavage of
target DNA sites that are complementary to the gRNA that lie next to
the PAM sequence. C) Illustrate example of crRNA-tracrRNA hybrid
and a gRNA.18 (Diagram adapted from Sander and Joung, 2013)
rs1111875 is a SNP that has been shown to be strongly associated with Type 2 Diabetes (T2D) in GWA
studies. It lies within a linkage disequilibrium (LD) block on chromosome 10q23.33 containing three genes:
Insulin degrading enzyme (IDE), kinesin family member 11 (KIF11) and hematopoietically-expressed
homeobox protein (HHEX, a transcription factor). Animal studies have shown that IDE and HHEX are
associated with type 2 diabetes 2,3,7,10. Given that rs1111875 lies within an enhancer region5, it is likely that
by modulating the expression of one or both of these genes, this SNP may contribute to the development
of T2D. In this study we investigate the functional relevance of rs1111875 to the expression of these genes
by introducing the risk allele into human pancreatic beta cells and assessing gene expression.
Abstract

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The Relationship Between rs1111875 and T2D Gene Expression

  • 1. The functional relationship between rs1111875 and type 2 diabetes susceptibility B T Macintyre, T Zheng, T Wahed Introduction Figure 1: Loci associated with T2D in the human genome. HHEX and IDE genes (located on chromosome 10) have been shown to be significantly associated with T2D in humans.4 (Image taken from Frazer et al., 2009)8 Materials and Methods Step 1: Genotype human foetal blood to identify two homozygous rs1111875 alleles; the C/C allele and the T/T allele. This will to allow relative expression to be quantified. Step 2: Generate a stable and functional human β cell line according to the method established by Ravassard et al. 16 Step 3: Design rs1111875 specific CRISPR guide RNA (gRNA) sequence using the protocol developed by Ran et al. 15 Step 4: Produce three isogenic β cell lines using: (a) β cells without transfection; (b) β cells transfected with all CRISPR reagents except genetic material; (c) mutant cell line with alternative homozygous genotype, produced using CRISPR. Step 5: Use ARMS PCR25 to confirm the genotypes of each cell line (e.g. T/T(a), T/T(b), and C/C(c)) Step 6: Perform TaqMan expression assays on each of the cell lines to measure relative HHEX and IDE expression. Prospective Results Discussion and Conclusion References (1) Applied Biosciences by Life Technologies, (2015). TaqMan Gene Expression Assay Protocol. [online] Available at: https://tools.lifetechnologies.com/content/sfs/manuals/cms_041280.pdf [Accessed 19 Jan. 2015]. (2) Bort R, Martinez-Barbera JP, Beddington RS, Zaret KS. Hex homeobox gene-dependent tissue positioning is required for organogenesis of the ventral pancreas. Development 2004 Feb;131(4):797-806. (3) Bort R, Signore M, Tremblay K, Martinez Barbera JP, Zaret KS. Hex homeobox gene controls the transition of the endoderm to a pseudostratified, cell emergent epithelium for liver bud development. Dev Biol 2006 Feb 1;290(1):44-56. (4) Diabetes Genetics Initiative of Broad Institute of Harvard and MIT, Lund University, and Novartis Institutes of BioMedical Research, Saxena R, Voight BF, Lyssenko V, Burtt NP, de Bakker PI, et al. Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels. Science 2007 Jun 1;316(5829):1331-1336. (5) DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium, South Asian Type 2 Diabetes (SAT2D) Consortium, Mexican American Type 2 Diabetes (MAT2D) Consortium, Type 2 Diabetes Genetic Exploration by Nex-generation sequencing in muylti-Ethnic Samples (T2D-GENES) Consortium, Mahajan A, et al. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility. Nat Genet 2014 Mar;46(3):234-244. (6) Edwards SL, Beesley J, French JD, Dunning AM. Beyond GWASs: illuminating the dark road from association to function. Am J Hum Genet 2013 Nov 7;93(5):779-797. (7) Fakhrai-Rad H, Nikoshkov A, Kamel A, Fernstrom M, Zierath JR, Norgren S, et al. Insulin-degrading enzyme identified as a candidate diabetes susceptibility gene in GK rats. Hum Mol Genet 2000 Sep 1;9(14):2149-2158. (8) Frazer KA, Murray SS, Schork NJ, Topol EJ. Human genetic variation and its contribution to complex traits. Nat Rev Genet 2009 Apr;10(4):241-251. (9) Harrison MM, Jenkins BV, O'Connor-Giles KM, Wildonger J. A CRISPR view of development. Genes Dev 2014 Sep 1;28(17):1859-1872. (10) Hunter MP, Wilson CM, Jiang X, Cong R, Vasavada H, Kaestner KH, et al. The homeobox gene Hhex is essential for proper hepatoblast differentiation and bile duct morphogenesis. Dev Biol 2007 Aug 15;308(2):355-367. (11) Krentz NA, Nian C, Lynn FC. TALEN/CRISPR-Mediated eGFP Knock-In Add-On at the OCT4 Locus Does Not Impact Differentiation of Human Embryonic Stem Cells towards Endoderm. PLoS One 2014 Dec 4;9(12):e114275. (12) Li X, Li Y, Song B, Guo S, Chu S, Jia N, et al. Hematopoietically-expressed homeobox gene three widely-evaluated polymorphisms and risk for diabetes: a meta-analysis. PLoS One 2012;7(11):e49917. (13) Qian Y, Lu F, Dong M, Lin Y, Li H, Chen J, et al. Genetic variants of IDE-KIF11-HHEX at 10q23.33 associated with type 2 diabetes risk: a fine-mapping study in Chinese population. PLoS One 2012;7(4):e35060. (14) Ragvin A, Moro E, Fredman D, Navratilova P, Drivenes O, Engstrom PG, et al. Long-range gene regulation links genomic type 2 diabetes and obesity risk regions to HHEX, SOX4, and IRX3. Proc Natl Acad Sci U S A 2010 Jan 12;107(2):775-780. (15) Ran FA, Hsu PD, Wright J, Agarwala V, Scott DA, Zhang F. Genome engineering using the CRISPR-Cas9 system. Nat Protoc 2013 Nov;8(11):2281-2308. (16) Ravassard P, Hazhouz Y, Pechberty S, Bricout-Neveu E, Armanet M, Czernichow P, et al. A genetically engineered human pancreatic beta cell line exhibiting glucose-inducible insulin secretion. J Clin Invest 2011 Sep;121(9):3589-3597. (17) Reitz C, Cheng R, Schupf N, Lee JH, Mehta PD, Rogaeva E, et al. Association between variants in IDE-KIF11-HHEX and plasma amyloid beta levels. Neurobiol Aging 2012 Jan;33(1):199.e13-199.e17. (18) Sander JD, Joung JK. CRISPR-Cas systems for editing, regulating and targeting genomes. Nat Biotechnol 2014 Apr;32(4):347-355. (19) Scott LJ, Mohlke KL, Bonnycastle LL, Willer CJ, Li Y, Duren WL, et al. A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants. Science 2007 Jun 1;316(5829):1341- 1345. (20) Sladek R, Rocheleau G, Rung J, Dina C, Shen L, Serre D, et al. A genome-wide association study identifies novel risk loci for type 2 diabetes. Nature 2007 Feb 22;445(7130):881-885. (21) Staiger H, Machicao F, Stefan N, Tschritter O, Thamer C, Kantartzis K, et al. Polymorphisms within novel risk loci for type 2 diabetes determine beta-cell function. PLoS One 2007 Sep 5;2(9):e832. (22) Steinthorsdottir V, Thorleifsson G, Reynisdottir I, Benediktsson R, Jonsdottir T, Walters GB, et al. A variant in CDKAL1 influences insulin response and risk of type 2 diabetes. Nat Genet 2007 Jun;39(6):770-775. (23) Steneberg P, Bernardo L, Edfalk S, Lundberg L, Backlund F, Ostenson CG, et al. The type 2 diabetes-associated gene ide is required for insulin secretion and suppression of alpha-synuclein levels in beta-cells. Diabetes 2013 Jun;62(6):2004-2014. (24) WHO Diabetes factsheet http://www.who.int/mediacentre/factsheets/fs312/en/ accessed:16/01/2015 (25) You FM, Huo N, Gu YQ, Luo MC, Ma Y, Hane D, et al. BatchPrimer3: a high throughput web application for PCR and sequencing primer design. BMC Bioinformatics 2008 May 29;9:253-2105-9-253. (26) Zeggini E, Weedon MN, Lindgren CM, Frayling TM, Elliott KS, Lango H, et al. Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes. Science 2007 Jun 1;316(5829):1336-1341. (27) Zhang J, McKenna LB, Bogue CW, Kaestner KH. The diabetes gene Hhex maintains delta-cell differentiation and islet function. Genes Dev 2014 Apr 15;28(8):829-834.  Type 2 diabetes (T2D) is the most common form of diabetes in the human population (90% of people with diabetes around the world), affecting over 300 million people.24  The significantly increased morbidity and mortality in people with T2D, and the rising prevalence over recent years, makes elaborating the genetic basis of the disease very important.  GWAS meta-analysis showed that the C allele of rs1111875, a SNP within an enhancer region, is strongly associated to T2D in the LD block on chromosome 10q23.33, which contains the genes IDE, KIF1117, and HHEX.5,12,13,19  Knock-out rat in which IDE has been deleted exhibit T2D7, while deletion of HHEX is embryo lethal2,3; HHEX is a transcription factor that is essential for normal pancreatic development2,3,10,21,27, therefore dysregulation of HHEX expression may contribute to T2D via aberrant downstream interactions.  The aim of this study is to investigate the significance of rs1111875 to the expression of IDE and HHEX; we anticipate that rs1111875 modulates the enhancer’s activity on one or both of these genes, which would provide a functional basis for its association with T2D. Potential outcomes: 1. Increased expression of HHEX and/or IDE Upregulation of HHEX suggests that the mutant enhancer contribute to T2D in a complex manner. However, upregulation of IDE is unlikely to indicate a functional relevance in T2D. 2. Decreased expression of HHEX and/or IDE Downregulated IDE suggests that the enhancer contribute to T2D by increasing insulin resistance and impairing secretion of insulin.23 Downregulated HHEX suggests that the enhancer contribute to T2D by reducing epistasis, given that it is a transcription factor. 3. No change in expression This would confirm the null hypothesis that rs1111875 does not contribute to T2D at this locus suggesting other SNPs in proxy to this SNP maybe linked to the expression of these genes. 1. Beta cell culture Human foetal pancreatic β cells (hfpβ cells) must be used because the proliferative potential of adult β cells is extremely low, and procedures for generating functional β cells from human embryonic stem cells have not been fully developed. Although hfpβ cells are anticipated to be crucial to T2D research (given the significance of the differences between humans and animal models), differences between in vivo and in vitro β cells may distort experimental results. 2. In vitro experiment6 Advantages: Ease of manipulation Cell homogeneity Extended replicative capacity in generating specific cell of interest Disadvantages: Transcription profiles between in vivo human beta cells and in vitro beta cells.16 Limited access to tissue samples. 3. CRISPR9 Advantages - Less labour intensive, higher targeting specificity, high transfection efficiency.11 Why use CRISPR instead of ZFN and TALENs? ZFNs induce off-target cleavage and assembly of multiple ZFNs lead to reduced specificity to target DNA. TALENs enable highly specific targeting of genes, but the length of DNA it can recognise is limited. 5. TaqMan Advantages: Differentially labelled fluorophore probes allow amplification of two distinct sequences in one reaction. The use of probe and primers to the region of interest makes this technique highly specific. Post-PCR processing is eliminated, which reduces assay labour and material costs. Disadvantage: Poor primer design can lead to nonspecific binding and amplification of inappropriate genes. Synthesis of different probes is required for different sequences. The Future: If the rs1111875 risk allele (C) significantly alters HHEX and/or IDE gene expression in hfpβ cells, this suggest a potential mechanism by which this can contribute to T2D, providing a possible method for modifying HHEX and/or IDE gene expression in human beta cells. If no difference in expression is observed, other significant SNPs can be investigated within the LD block using the same methods.12,21,22,26 Additional loci associated with T2D could potentially be investigated using a similar method.14,22 Figure 4: SNP genotyping assay using ARMS PCR The foetal blood sample genotyped in step 1 of Materials and Methods must either be homozygous for the C allele (pink) or the T allele (dark blue). The mutant cell line produced using CRISPR will be engineered to be homozygous for the other allele. (Figure adapted from You et al., 2008)25 Figure 5: TaqMan expression assay results: If the risk allele (C) increases expression of HHEX or IDE, results resembling the blue lines will indicate this by showing a higher RFU score than the alternative allele (T, which would be represented by the green lines).1 Figure 2: Pairwise linkage disequilibrium diagram for IDE-KIF11-HHEX. The bar graph represents the negative logarithm of the P-value for each SNP; this study demonstrates the significance of the association between rs111185 (indicated in the black box) and T2D (-log10[P] = >4). The asterisk indicates that this SNP was chosen for confirmatory studies. (Figure adapted from Sladek et al., 2007)20 Figure 3: Comparing CRISPR used by prokaryotes and artificially designed CRISPR. A) CRISPR system in prokaryotes incorporate foreign DNA into CRISPR arrays, producing crRNA with a protospacer region complementary to the foreign DNA. crRNA and tracrRNA are associated with the cas9 protein complex, which recognise and cleave foreign DNAs bearing the protospacer sequences. B) Artificially designed gRNA complex uses a fused crRNA and tracrRNA sequence. A single RNA complexes with cas9 to mediate cleavage of target DNA sites that are complementary to the gRNA that lie next to the PAM sequence. C) Illustrate example of crRNA-tracrRNA hybrid and a gRNA.18 (Diagram adapted from Sander and Joung, 2013) rs1111875 is a SNP that has been shown to be strongly associated with Type 2 Diabetes (T2D) in GWA studies. It lies within a linkage disequilibrium (LD) block on chromosome 10q23.33 containing three genes: Insulin degrading enzyme (IDE), kinesin family member 11 (KIF11) and hematopoietically-expressed homeobox protein (HHEX, a transcription factor). Animal studies have shown that IDE and HHEX are associated with type 2 diabetes 2,3,7,10. Given that rs1111875 lies within an enhancer region5, it is likely that by modulating the expression of one or both of these genes, this SNP may contribute to the development of T2D. In this study we investigate the functional relevance of rs1111875 to the expression of these genes by introducing the risk allele into human pancreatic beta cells and assessing gene expression. Abstract