Skip to main content
  • More from ADA
    • Diabetes Care
    • Clinical Diabetes
    • Diabetes Spectrum
    • ADA Standards of Medical Care in Diabetes
    • ADA Scientific Sessions Abstracts
    • BMJ Open Diabetes Research & Care
  • Subscribe
  • Log in
  • Log out
  • My Cart
  • Follow ada on Twitter
  • RSS
  • Visit ada on Facebook
Diabetes

Advanced Search

Main menu

  • Home
  • Current
    • Current Issue
    • Online Ahead of Print
    • ADA Scientific Sessions Abstracts
  • Browse
    • By Topic
    • Issue Archive
    • Saved Searches
    • ADA Scientific Sessions Abstracts
    • Diabetes COVID-19 Article Collection
    • Diabetes Symposium 2020
  • Info
    • About the Journal
    • About the Editors
    • ADA Journal Policies
    • Instructions for Authors
    • Guidance for Reviewers
  • Reprints/Reuse
  • Advertising
  • Subscriptions
    • Individual Subscriptions
    • Institutional Subscriptions and Site Licenses
    • Access Institutional Usage Reports
    • Purchase Single Issues
  • Alerts
    • E­mail Alerts
    • RSS Feeds
  • Podcasts
    • Diabetes Core Update
    • Special Podcast Series: Therapeutic Inertia
    • Special Podcast Series: Influenza Podcasts
    • Special Podcast Series: SGLT2 Inhibitors
    • Special Podcast Series: COVID-19
  • Submit
    • Submit a Manuscript
    • Submit Cover Art
    • ADA Journal Policies
    • Instructions for Authors
    • ADA Peer Review
  • More from ADA
    • Diabetes Care
    • Clinical Diabetes
    • Diabetes Spectrum
    • ADA Standards of Medical Care in Diabetes
    • ADA Scientific Sessions Abstracts
    • BMJ Open Diabetes Research & Care

User menu

  • Subscribe
  • Log in
  • Log out
  • My Cart

Search

  • Advanced search
Diabetes
  • Home
  • Current
    • Current Issue
    • Online Ahead of Print
    • ADA Scientific Sessions Abstracts
  • Browse
    • By Topic
    • Issue Archive
    • Saved Searches
    • ADA Scientific Sessions Abstracts
    • Diabetes COVID-19 Article Collection
    • Diabetes Symposium 2020
  • Info
    • About the Journal
    • About the Editors
    • ADA Journal Policies
    • Instructions for Authors
    • Guidance for Reviewers
  • Reprints/Reuse
  • Advertising
  • Subscriptions
    • Individual Subscriptions
    • Institutional Subscriptions and Site Licenses
    • Access Institutional Usage Reports
    • Purchase Single Issues
  • Alerts
    • E­mail Alerts
    • RSS Feeds
  • Podcasts
    • Diabetes Core Update
    • Special Podcast Series: Therapeutic Inertia
    • Special Podcast Series: Influenza Podcasts
    • Special Podcast Series: SGLT2 Inhibitors
    • Special Podcast Series: COVID-19
  • Submit
    • Submit a Manuscript
    • Submit Cover Art
    • ADA Journal Policies
    • Instructions for Authors
    • ADA Peer Review
Genetics

A Haplotype-Based Analysis of the PTPN22 Locus in Type 1 Diabetes

  1. Suna Onengut-Gumuscu12,
  2. Jane H. Buckner3 and
  3. Patrick Concannon12
  1. 1Molecular Genetics Program, Benaroya Research Institute, Seattle, Washington
  2. 2Department of Immunology, University of Washington School of Medicine, Seattle, Washington
  3. 3Translational Research Program, Benaroya Research Institute, Seattle, Washington
  1. Address correspondence and reprint requests to Patrick Concannon at Molecular Genetics Program, Benaroya Research Institute, 1201 Ninth Ave., Seattle, WA 98101-2795. E-mail: patcon{at}benaroyaresearch.org
Diabetes 2006 Oct; 55(10): 2883-2889. https://doi.org/10.2337/db06-0225
PreviousNext
  • Article
  • Figures & Tables
  • Info & Metrics
  • PDF
Loading

Abstract

A recent addition to the list of widely confirmed type 1 diabetes risk loci is the PTPN22 gene encoding a lymphoid-specific phosphatase (Lyp). However, evidence supporting a role for PTPN22 in type 1 diabetes derives entirely from the study of just one coding single nucleotide polymorphism, 1858C/T. In the current study, the haplotype structure of the PTPN22 region was determined, and individual haplotypes were tested for association with type 1 diabetes in family-based tests. The 1858T risk allele occurred on only a single haplotype that was strongly associated with type 1 diabetes (P = 7.9 × 10−5). After controlling for the effects of this allele, two other haplotypes were observed to be weakly associated with type 1 diabetes (P < 0.05). Sequencing of the coding region of PTPN22 on these haplotypes revealed a novel variant (2250G/C) predicted to result in a nonsynonymous amino acid substitution. Analysis of PTPN22 transcripts from a subject heterozygous for this variant indicated that it interfered with normal mRNA splicing, resulting in a premature termination codon after exon 17. These results support the conclusion that the 1858C/T allele is the major risk variant for type 1 diabetes in the PTPN22 locus, but they suggest that additional infrequent coding variants at PTPN22 may also contribute to type 1 diabetes risk.

  • CEPH, Centre d’Etude du Polymorphisme Humain
  • DHPLC, denaturing high-performance liquid chromatography
  • FBAT, family-based association test
  • IBD, identical-by-descent
  • SNP, single nucleotide polymorphism

Type 1 diabetes is a complex disorder of glucose homeostasis that arises from the autoimmune destruction of the insulin-secreting β-cells of the pancreas, resulting in a lifelong dependence on exogenously administered insulin. The increased concordance rates for type 1 diabetes observed in monozygotic twins and other relatives of type 1 diabetic probands suggest that some fraction of the risk for type 1 diabetes is inherited (1,2). Numerous attempts have been made to identify type 1 diabetes risk loci through both genome-wide linkage approaches and candidate gene association studies (rev. in 3,4). Although published reports have provided evidence supporting the involvement of many different chromosomal regions or genes in determining type 1 diabetes risk, only a relatively limited number of these loci have been consistently and widely replicated in follow-up studies (5).

Regions of the genome that are widely accepted as conferring risk for type 1 diabetes include the HLA region on chromosome 6p21, which harbors multiple loci whose products both act and interact to increase risk (6); the insulin (INS) gene region on chromosome 11p15, where alleles of a variable-number tandem repeat polymorphism located 5′ to the insulin gene are differentially associated with type 1 diabetes (7–9); and the CTLA4 gene region, where alternative splicing associated with a single nucleotide polymorphism (SNP) located 3′ of the gene influences type 1 diabetes risk (10,11). Although initially identified based on allelic associations with type 1 diabetes, each of these three regions has also been detected in genome-wide scans carried out in affected sibpair families as sites where there is suggestive to significant evidence of linkage to type 1 diabetes (12). However, no single locus in any of these regions can fully account for the magnitude of the evidence of linkage observed in that region, suggesting that the linkage peaks may represent the contributions of multiple, clustered loci (5,12), as has been observed in animal models of autoimmunity (13,14).

A recent addition to the list of generally replicated type 1 diabetes risk loci is the PTPN22 locus on chromosome 1p13 (15–17). PTPN22 encodes a 110-kDa lymphoid-specific phosphatase (Lyp). The NH2 terminus of the protein contains a catalytically active phosphatase domain, whereas the COOH terminus contains several proline-rich repeats (18). The murine homologue of Lyp, Pep, binds to the SH3 domain of c-Src tyrosine kinase (Csk) via its most NH2-terminal proline-rich sequence (P1) in in vitro binding assays, and this interaction plays an important role in the downregulation of T-cell receptor signaling (19,20). Pep acts as a negative regulator of T-cell activation by dephosphorylating the T-cell receptor activation–dependent kinases Lck, Fyn, and Zap70 (20). In humans, a nonsynonymous C-to-T SNP at nucleotide position 1858 of the PTPN22 gene (rs2476601) results in an amino acid substitution at codon 620 from arginine (C̅GG) to tryptophan (T̅GG). This substitution is located in the proline-rich P1 sequence of Lyp and likely affects its ability to interact with Csk in vivo because reduced levels of Csk are coimmunoprecipitated by the 620W variant, compared with the 620R form, when these isoforms are separately expressed as epitope-tagged constructs in T-cell lines (21).

Bottini et al. (15) first noted an association between the 1858T (620W) allele in the PTPN22 gene and autoimmune disease. They observed that the 1858T allele was more frequent among type 1 diabetes case compared with control subjects ascertained in North America and Sardinia. Begovich et al. (21) similarly reported that the allele frequency of the 1858T allele was elevated in rheumatoid arthritis case subjects in two separate case-control populations from North America. Kyogoku et al. (22) observed that the 1858T (620W) allele was also associated with increased risk of systemic lupus erythematosis and reported evidence for a dosage effect suggesting that the 1858T (620W) allele might be a loss of function variant. Smyth et al. (16) reported the frequency of the 1858T allele to be elevated in Graves’ disease patients from the U.K. compared with control subjects. These studies suggested the possibility that PTPN22 R620W might have a generalized predisposing effect on autoimmune risk. However, subsequent studies have revealed several autoimmune disorders, including multiple sclerosis, psoriasis, and Crohn’s disease, where no association with alleles at the PTPN22 1858C/T polymorphism is detected (23–25).

The 1858C/T SNP has been extensively analyzed in type 1 diabetes case-control and family-based studies (15–17,26–30). Although these studies uniformly indicate that the 1858T allele is associated with type 1 diabetes, they do not address the issue of whether 1858T is the sole allele at PTPN22 that influences risk for type 1 diabetes. In the current study, a comprehensive approach was taken to analyze the coding and intervening sequences of PTPN22. The coding sequence of PTPN22 was screened for the presence of additional coding variants in type 1 diabetes case subjects, and the common SNPs identified through this analysis, along with tagging SNPs selected from the HapMap database, were genotyped in type 1 diabetes–affected families and used in haplotype-based tests of association.

RESEARCH DESIGN AND METHODS

Type 1 diabetes–affected sibpair families (n = 374) were obtained from the Human Biological Data Interchange (HBDI) repository. These samples had been previously described and consist of nuclear families, all with both parents and at least two affected offspring available for genotyping (31). All of the Human Biological Data Interchange families that were genotyped for the current study were ascertained in the U.S. and were of European ancestry. An additional 243 affected sibpair families from the British Diabetes Association (BDA) were used in association studies for the rare coding variants. Although these British Diabetes Association families include multiple affected siblings, only a single affected sib, chosen at random, was genotyped along with both parents.

Mutation screening.

All exons and flanking intronic sequences of PTPN22 were screened for variation in 94 type 1 diabetic case subjects homozygous for the 1858C allele. Subjects for screening were chosen based on the extent of alleles shared identical-by-descent (IBD) among affected sibpairs on chromosome 1. The program Merlin (32) was used to estimate IBD status among sibpairs from a prior genome scan of 389 U.S. type 1 diabetes–affected families (31). Based on IBD scores, an affected sib was chosen from each of 16 families that scored 2, 26 families with a score of 1, and 28 families where IBD could not be determined because of the low information content of the microsatellites in the area but where case subjects were homozygous for the wild-type allele at position 1858. An additional 24 sporadic type 1 diabetes case subjects without prior genome scan data were included, bringing the total number of samples to 94.

Screening primers were designed using the program Primer 3 (33) and were situated in introns ∼40 bp away from the intron-exon boundaries based on the reference sequences NM_015967.3 (PTPN22), NM_001010922.1 (C1orf178), and NT_019273 (PTPN22). Exon 13 was amplified in three overlapping PCR products, whereas exons 6 and 7 were amplified as a single product (383 bp). Amplifications were performed in a total volume of 25 μl containing 40 ng DNA. A touchdown protocol from 65 to 55°C was used for amplification.

Heterozygous individuals were detected by denaturing high-performance liquid chromatography (DHPLC) on a Transgenomic WAVE DNA fragment analysis system (Transgenomic, Omaha, NE). Elution patterns were visually analyzed to identify samples yielding heteroduplexes indicative of nucleotide mismatches. Heteroduplex samples were sequenced along with a control sample that had a homoduplex profile. Sequencing was performed using BigDye Terminator v3.1 (Applied Biosystems) on an ABI3100 gene analyzer.

Tagging SNPs.

HapMap Centre d’Etude du Polymorphisme Humain (CEPH) family genotype data (CEU database) was downloaded to Haploview, and linkage disequilibrium patterns in and around PTPN22 were established (34). Seven haplotype-tagging SNPs were chosen from HapMap SNPs with minor allele frequencies >10% (rs3811021, rs2476599, rs1217388, rs2476601, rs1217414, rs2488457, and rs1235005). All seven selected tagging SNPs were genotyped in 374 type 1 diabetes–affected sibpair families. Haplotype association testing was performed using the HBAT command in the family-based association test (FBAT) (35,36).

SNP genotyping.

The MGB-Eclipse system (Nanogen) was used to genotype the two coding and nine intronic variants in PTPN22. Genotyping assays were performed using 10 ng of DNA in a 5-μl reaction volume according to the manufacturer’s protocol and analyzed on an ABI HT7900. Pedcheck was used to test for Mendelian inconsistency in genotyping (37). FBAT (version 1.5.5) was used for association studies in the type 1 diabetes multiplex families (35). FBAT was run under an additive model. Because multiplex type 1 diabetes–affected families were analyzed, the –e flag option was used in FBAT to account for the correlation of sibling genotypes when linkage is present (38).

cDNA analysis.

Frozen peripheral blood mononuclear cells used for cDNA analysis were derived from subjects participating in studies under the auspices of the JDRF (Juvenile Diabetes Research Foundation) Center for Translational Research. Informed consent was obtained from all subjects according to institutional review board approval protocols at Children’s Hospital and Regional Medical Center and Benaroya Research Institute. RNA was extracted from frozen peripheral blood mononuclear cells using Trizol (Invitrogen) in accordance with the manufacturer’s protocols. First-strand cDNA was synthesized using SuperScript II RT (Invitrogen) with random primers according to the manufacturer’s instructions. Primer sequences for cDNA amplifications are as follows: rPTPN22 18F-5′TCCTGACACCATGGAAAATTCA3′, 21R-5′CAGGTGTACTTGCAGCCCATATT3′, 15F-5′GGGTGGAACATCTGAACCAAAG3′, and 20R-5′CCAAAATTCAGAAATGAGCTGGA3′. Before sequencing, amplified fragments were gel purified using a Qiagen Gel Extraction kit (Qiagen).

RESULTS

The PTPN22 gene consists of 21 exons spanning ∼58 kb. To detect possible coding variants besides the 1858T allele, 94 type 1 diabetic case subjects homozygous for the 1858C allele were screened. These subjects were selected from among affected sibpairs in multiplex type 1 diabetic families based on increased allele sharing in the region of the PTPN22 gene. A total of 11 variants were identified after sequencing all samples that displayed heteroduplex formation by DHPLC analysis (Table 1). Three of these SNPs had relatively frequent minor alleles and were already present in the dbSNP database (rs1217418, rs2797415, and rs3761935); the remaining eight SNPs were novel variants. The three common SNPs detected were included in the subsequent linkage disequilibrium and haplotype analyses. Three of the novel variants were predicted to result in amino acid substitutions, one each in exons 8 (658A/G, S220G), 13 (1508A/G, Y503C), and 18 (2250G/C, K750N).

For a comprehensive genetic analysis of the coding and intervening sequences of PTPN22, tagging SNPs from the HapMap database were used in conjunction with the three common SNPs identified by DHPLC analysis in family-based single-marker and haplotype association tests. HapMap markers spanning PTPN22 were in strong linkage disequilibrium with each other in the CEU dataset, making a tagSNP approach feasible. Seven haplotype-tagging SNPs (rs3811021, rs2476599, rs1217388, rs2476601, rs1217414, rs2488457, and rs1235005) were selected, which accounted for 95.3% of the chromosomes derived from the 30 CEPH family trios genotyped at PTPN22 in the HapMap database. The rs2476601 SNP is the nonsynonymous 1858C/T SNP previously shown to be associated with type 1 diabetes (17) in the multiplex type 1 diabetes–affected families studied here. These seven SNPs, along with the three common intronic SNPs detected by DHPLC screening, were genotyped in 374 type 1 diabetes multiplex families (Table 2). Single-marker association tests indicated that the minor alleles of rs2476601, rs1235005, rs2488457, rs1217418, rs2797415, and rs1217388 were preferentially transmitted to affected offspring from heterozygote parents, whereas the remaining four SNPs provided no evidence of association to type 1 diabetes in the families genotyped.

All 10 SNPs spanning PTPN22 were in strong linkage disequilibrium with each other (D′ >0.9) and captured seven haplotypes, which accounted for 98.7% of the founder chromosomes in the population studied (Table 3). Five of these haplotypes were relatively common, with frequencies >10%. The 1858T allele (rs2476601) occurred on only a single haplotype (H4), and this haplotype was strongly associated with type 1 diabetes (P = 7.9 × 10−5) in the 374 type 1 diabetes–affected families screened. The H5 haplotype differed from H4 only at position 1858 of the coding region (rs2476601) and provided no significant evidence of association with type 1 diabetes. A second haplotype (H2) was undertransmitted to affected offspring from informative parents (P = 0.0022). When the haplotype association test was conditioned on type 1 diabetic case subjects who were homozygous for the 1858C allele at rs2476601, two haplotypes, H1 (P = 0.031) and H3 (P = 0.041), displayed increased transmission rates to affected offspring that were at least marginally significant. These associations might reflect the presence of additional rare variants of PTPN22 occurring on these haplotypes that confer some increased risk for type 1 diabetes.

The DHPLC screening of the PTPN22 coding region identified three novel but rare nonsynonymous coding variants (Table 1). To evaluate the possible role of these variants in type 1 diabetes susceptibility, they were evaluated for their likelihood of affecting protein structure, using the programs PolyPhen and SIFT (39,40). Two of the variants, 1508A/G and 2250G/C, had minor alleles that scored as possibly damaging to PTPN22 in this analysis. These variants were genotyped in 617 type 1 diabetes multiplex families and tested for association with type 1 diabetes. The 1508A/G variant was observed in only two families (predicted minor allele frequency 0.0008), and thus no conclusion could be drawn regarding its relation to type 1 diabetes risk. The 2250C variant was observed in 15 affected sibpair families (minor allele frequency 0.006) and was preferentially transmitted to affected offspring in these families (21 transmitted vs. 7 nontransmitted, P = 0.026). The 2250C allele occurred exclusively on the H1 haplotype. When 2250G/C status was used to split this haplotype, the increased transmission of H1 to affected offspring noted above and in Table 3 was accounted for entirely by the 15 families in which the 2250C allele was segregating.

To confirm that the 2250C allele was expressed, cDNA was synthesized from a subject heterozygous for 2250G/C and a control subject homozygous for the common 2250G allele. Sequencing of RT-PCR products spanning exons 18 to 21 from individuals heterozygous for 2250G/C revealed only the 2250G allele product. Position 2250 in PTPN22 corresponds to the last nucleotide position of exon 18. Nucleotide usage at this position in mammalian exons is highly biased, with a G residue occurring in the −1 position in 78% of exons and C being present in <4% of mammalian exons (41). To determine whether the 2250G/C variant affected splicing of exon 18, primers in exons 15 and 20 were used to amplify PTPN22 from cDNA. As shown in Fig. 1, the expected 393-nucleotide fragment was obtained from an individual who was homozygous for 2250G, whereas two fragments, one of the expected size and a shorter fragment, were obtained from a 2250G/C heterozygote. Nucleotide sequencing of these products revealed that the larger fragment corresponded to the correctly spliced PTPN22 product containing the G-allele at position 2250, whereas the shorter fragment corresponded to a product in which exon 17 had been spliced directly to exon 19, with exon 18, containing position 2250, excluded. There was no evidence of the 2250C allele in any RT-PCR product generated in this analysis, suggesting that the presence of C at this position results in a high frequency of missplicing and deletion of exon 18. The result of this aberrant splicing event is the creation of a premature termination codon precisely at the exon 17-to-19 junction (Fig. 1).

Although resequencing in individuals selected for the absence of the established type 1 diabetes risk allele 1858T in PTPN22 can potentially identify novel risk alleles occurring on other haplotypes, it leaves open the question of whether 1858T is the sole variant on the H4 haplotype responsible for its disease association. To address this question, 24 type 1 diabetic case subjects heterozygous for the 1858C/T variant were screened by DHPLC and sequencing to identify any additional coding variants occurring on the same haplotype. No other variants were detected on the H4 haplotype in these samples. An additional rare coding variant in exon 1 (77A/G, N26S) was identified on a chromosome carrying the 1858C allele in one of the heterozygous 1858C/T case samples screened. However, given that the 77A/G variant was observed only once in the 24 1858C/T heterozygous samples screened, along with the 94 1858C homozygous samples screened previously, and because Polyphen and SIFT analysis predicted the amino acid change was not likely to be damaging for the protein structure, the variant was not further analyzed in this study (39,40). An examination of the data derived from CEPH families in HapMap suggests that there is a haplotype block >300 kb in size spanning the PTPN22 locus. Thus, the contribution of variants in either noncoding regions or adjacent genes cannot be ruled out as playing some role in the association between the H4 haplotype and type 1 diabetes. An examination of the genes flanking PTPN22 on chromosome 1p13 revealed only one with any obvious potential to affect immune responses, C1orf178, which encodes BFK, a Bcl-2 family member with modest proapoptotic effects that is expressed in both spleen and thymus (42). The coding region of C1orf178 was screened by nucleotide sequencing in two type 1 diabetic case subjects homozygous for either the 1858T or 1858C allele. No coding variants were observed.

DISCUSSION

In the current study, a systematic approach was taken to elucidate whether the reported 1858T allele was the sole susceptibility allele in PTPN22 or whether there were additional susceptibility alleles at this locus that can also play a role in type 1 diabetes development. We considered two hypotheses. First, the possibility that there might exist additional type 1 diabetes risk variants within the PTPN22 coding region was evaluated by screening all exons of the PTPN22 gene for variation in type 1 diabetic case subjects homozygous for the wild-type 1858C allele. These results were extended by genotyping both the common SNPs identified in the screening and tag SNPs culled from the HapMap database in a collection of 374 multiplex type 1 diabetes–affected families to assess both single-marker and haplotype associations with disease. Among the common SNPs genotyped (i.e., those with minor allele frequencies ≥0.1), six displayed some evidence of association with type 1 diabetes (P < 0.05) when considered as single markers. As noted by Carlton et al. (43) in their study of rheumatoid arthritis patients, the 1858T allele was observed to occur on a single haplotype, designated here as H4. Our haplotype analysis revealed a second haplotype (H5) that is identical with the overtransmitted haplotype H4, except at 1858C/T. Because neither H5 nor any of the other remaining common haplotypes have displayed any evidence of positive association with type 1 diabetes, we conclude that the markers rs1235005, rs2488457, rs1217418, rs2797415, and rs1217388, which showed significant association to type 1 diabetes in the single-marker tests, are most likely not independent risk variants for type 1 diabetes.

As in the case of rheumatoid arthritis, conditioning on the haplotype containing the 1858T allele (H4) revealed modest evidence for excess transmission of two other haplotypes to affected offspring in type 1 diabetes–affected families. Because the SNPs used in the current study differ from those used by Carlton et al. (43) in their study of rheumatoid arthritis, it is not possible to make a direct comparison between the haplotypes. However, the excess transmission observed in both studies suggests the possibility that there might be additional variants in PTPN22 that increase the risk of autoimmunity. In the current study, a plausible candidate on the H1 haplotype was identified in the rare variant 2250G>C. Although segregating in only 15 families, the 2250C allele was modestly associated with type 1 diabetes (P = 0.026), and, because RNA analysis indicated that it generates a premature termination codon, the variant allele might be expected to affect PTPN22 function. However, given the infrequency of the 2250C allele, further association studies, both in type 1 diabetes and in other autoimmune diseases where a role for PTPN22 variation has been previously demonstrated, are clearly necessary before a role for this variant in autoimmunity can be established.

The prematurely terminated coding sequence of the 2250C allele is predicted to encode a 711–amino acid protein lacking the last two COOH-terminal proline-rich repeats. The role of these two proline-rich repeats in Lyp is not well characterized, but they may play a role in binding to proteins with SH3 domains. If so, expression of such a truncated protein could potentially exert a dominant interfering effect on the wild-type allele product in heterozygotes. However, proteins containing premature termination mutations are often subject to rapid turnover and degradation, in which case the 2250C allele might only affect PTPN22 function by reducing the overall cellular levels of the protein. Functional studies of 2250G/C heterozygotes will be necessary to resolve these two possibilities and to reconcile the effects of this variant with the reported gain of function observed with the 1858T allele (44).

In the first part of this study, we focused on identifying risk variants for type 1 diabetes within the PTPN22 gene. Haplotype analysis identified the H4 haplotype, which carries the 1858T allele, as the major haplotype that contributes to type 1 diabetes susceptibility in PTPN22. However, these results leave open the possibility that additional variants might lie on this haplotype outside of the PTPN22 gene that could affect type 1 diabetes risk. An examination of the CEU database in HapMap suggests that significant linkage disequilibrium may extend for several hundred kilobases surrounding PTPN22, potentially including other genes. When the functions or expression patterns of genes flanking PTPN22 were considered, there were few obvious candidates for a gene that might impact autoimmunity. RSBN1 is expressed exclusively in germ cells (45). DCLRE1B is expressed ubiquitously, but its function in the cellular response to DNA intrastrand cross-links does not suggest a role in immune responses (46). On the other hand, C1orf178 is a member of the Bcl-2 family with some proapoptotic function and is expressed in both spleen and thymus (42). To scan for additional coding variants that might be in linkage disequilibrium with the 1858T allele, the coding sequences of PTPN22 and C1orf178 were screened in individuals that carried the H4 haplotype. The 1858T allele was the only coding variant identified in PTPN22 and C1orf178 on the H4 haplotype.

In summary, a haplotype-based analysis of the role of the PTPN22 locus in type 1 diabetes indicates that the 1858T (620W) allele occurs on a single haplotype that is overtransmitted to affected individuals in type 1 diabetes–affected families. No other coding variants were identified on this haplotype in either PTPN22 or the flanking C1orf178 gene. Within the PTPN22 gene, four rare coding variants were identified, one of which also leads to a prematurely terminated protein. Although infrequent, this variant was associated with type 1 diabetes in a family-based analysis. Establishing whether this rare coding variant contributes to type 1 diabetes risk will require confirmation in a larger dataset and in functional studies to determine its impact on Lyp function.

FIG. 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIG. 1.

The 2250C allele leads to missplicing and deletion of exon 18. A: cDNA amplification of exons 15–20. Genotypes of the samples amplified are listed above each lane. Lanes marked with “-RT” indicate negative controls in which no reverse transcriptase was added to the reaction. B: A schematic diagram of the effect of the coding SNP 2250G/C on splicing. Presence of the 2250C allele at the last position of exon 18 results in the skipping of exon 18. Exon 17 joins directly to exon 19, forming an immediate stop codon. The wild-type 2250G allele allows regular splicing of exon 18. *Immediate stop codon.

View this table:
  • View inline
  • View popup
TABLE 1

Variants identified in 94 type 1 diabetic case subjects who were homozygous for the 1858C allele in PTPN22

View this table:
  • View inline
  • View popup
TABLE 2

Single-marker family-based association analysis of SNP markers in the PTPN22 gene

View this table:
  • View inline
  • View popup
TABLE 3

Family-based haplotype association analysis of PTPN22

Acknowledgments

This work was supported by grants from the National Institutes of Health (DK46635) and the JDRF (Center for Translational Research at Benaroya Research Institute).

The authors thank Eric Olson for assistance with nucleotide sequencing and Sharon Teraoka for assistance with the WAVE platform. We acknowledge investigators and staff of the JDRF Center for Translational Research at Children’s Hospital and Regional Medical Center in Seattle and the BRI Diabetes Clinical Research for subject recruitment. We also thank the Translational Research Clinical Core for sample processing and handling.

Footnotes

  • The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

    • Accepted July 5, 2006.
    • Received February 16, 2006.
  • DIABETES

REFERENCES

  1. ↵
    Barnett AH, Eff C, Leslie RDG, Pyke DA: Diabetes in identical twins: a study of 200 pairs. Diabetologia20 :87 –93,1981
    OpenUrlCrossRefPubMedWeb of Science
  2. ↵
    Verge CF, Gianani R, Yu L, Pietropaolo M, Smith T, Jackson RA, Soeldner JS, Eisenbarth GS: Late progression to diabetes and evidence for chronic β-cell autoimmunity in identical twins of patients with type 1 diabetes. Diabetes44 :1176 –1179,1995
    OpenUrlAbstract/FREE Full Text
  3. ↵
    Rich SS, Concannon P: Challenges and strategies for investigating the genetic complexity of common human diseases (Review). Diabetes51 (Suppl. 3) :S288 –S294,2002
    OpenUrl
  4. ↵
    Hirschhorn JN: Genetic epidemiology of type 1 diabetes. Pediatr Diabetes4 :87 –100,2003
    OpenUrlCrossRefPubMed
  5. ↵
    Onengut-Gumuscu S, Concannon P: The genetics of type 1 diabetes: lessons learned and future challenges. J Autoimmun25 (Suppl.) :34 –39,2005
    OpenUrlCrossRefPubMedWeb of Science
  6. ↵
    Thomson G, Robinson WP, Kuhner MK, Joe S, MacDonald MJ, Gottschall JL, Barbosa J, Rich SS, Bertrams J, Baur MP: Genetic heterogeneity, modes of inheritance, and risk estimates for a joint study of Caucasians with insulin-dependent diabetes mellitus. Am J Hum Genet43 :799 –816,1988
    OpenUrlPubMedWeb of Science
  7. ↵
    Bell GI, Horita S, Karam JH: A polymorphic locus near the human insulin gene is associated with insulin-dependent diabetes mellitus. Diabetes33 :176 –183,1984
    OpenUrlAbstract/FREE Full Text
  8. Lucassen AM, Julier C, Beressi JP, Boitard C, Froguel P, Lathrop M, Bell JI: Susceptibility to insulin dependent diabetes mellitus maps to a 4.1 kb segment of DNA spanning the insulin gene and associated VNTR. Nat Genet4 :305 –310,1993
    OpenUrlCrossRefPubMedWeb of Science
  9. ↵
    Barratt BJ, Payne F, Lowe CE, Hermann R, Healy BC, Harold D, Concannon P, Gharani N, McCarthy MI, Olavesen MG, McCormack R, Guja C, Ionescu-Tirgoviste C, Undlien DE, Ronningen KS, Gillespie KM, Tuomilehto-Wolf E, Tuomilehto J, Bennett ST, Clayton DG, Cordell HJ, Todd JA: Remapping the insulin gene/IDDM2 locus in type 1 diabetes. Diabetes53 :1884 –1889,2004
    OpenUrlAbstract/FREE Full Text
  10. ↵
    Nistico L, Buzzetti R, Pritchard LE, Van der Auwera B, Giovannini C, Bosi E, Larrad MT, Rios MS, Chow CC, Cockram CS, Jacobs K, Mijovic C, Bain SC, Barnett AH, Vandewalle CL, Schuit F, Gorus FK, Tosi R, Pozzilli P, Todd JA: The CTLA-4 gene region of chromosome 2q33 is linked to, and associated with, type 1 diabetes. Hum Mol Genet5 :1075 –1080,1996
    OpenUrlAbstract/FREE Full Text
  11. ↵
    Ueda H, Howson JM, Esposito L, Heward J, Snook H, Chamberlain G, Rainbow DB, Hunter KM, Smith AN, Di Genova G, Herr MH, Dahlman I, Payne F, Smyth D, Lowe C, Twells RC, Howlett S, Healy B, Nutland S, Rance HE, Everett V, Smink LJ, Lam AC, Cordell HJ, Walker NM, Bordin C, Hulme J, Motzo C, Cucca F, Hess JF, Metzker ML, Rogers J, Gregory S, Allahabadia A, Nithiyananthan R, Tuomilehto-Wolf E, Tuomilehto J, Bingley P, Gillespie KM, Undlien DE, Ronningen KS, Guja C, Ionescu-Tirgoviste C, Savage DA, Maxwell AP, Carson DJ, Patterson CC, Franklyn JA, Clayton DG, Peterson LB, Wicker LS, Todd JA, Gough SC: Association of the T-cell regulatory gene CTLA4 with susceptibility to autoimmune disease. Nature423 :506 –511,2003
    OpenUrlCrossRefPubMedWeb of Science
  12. ↵
    Concannon P, Erlich HA, Julier C, Morahan G, Nerup J, Pociot F, Todd JA, Rich SS: Type 1 diabetes: evidence for susceptibility loci from four genome-wide linkage scans in 1,435 multiplex families. Diabetes54 :2995 –3001,2005
    OpenUrlAbstract/FREE Full Text
  13. ↵
    Morel L, Blenman KR, Croker BP, Wakeland EK: The major murine systemic lupus erythematosus susceptibility locus, Sle1, is a cluster of functionally related genes. Proc Natl Acad Sci U S A98 :1787 –1792,2001
    OpenUrlAbstract/FREE Full Text
  14. ↵
    Hill NJ, Lyons PA, Armitage N, Todd JA, Wicker LS, Peterson LB: NOD Idd5 locus controls insulitis and diabetes and overlaps the orthologous CTLA4/IDDM12 and NRAMP1 loci in humans. Diabetes49 :1744 –1747,2000
    OpenUrlAbstract
  15. ↵
    Bottini N, Musumeci L, Alonso A, Rahmouni S, Nika K, Rostamkhani M, MacMurray J, Meloni GF, Lucarelli P, Pellecchia M, Eisenbarth GS, Comings D, Mustelin T: A functional variant of lymphoid tyrosine phosphatase is associated with type I diabetes. Nat Genet36 :337 –338,2004
    OpenUrlCrossRefPubMedWeb of Science
  16. ↵
    Smyth D, Cooper JD, Collins JE, Heward JM, Franklyn JA, Howson JM, Vella A, Nutland S, Rance HE, Maier L, Barratt BJ, Guja C, Ionescu-Tirgoviste C, Savage DA, Dunger DB, Widmer B, Strachan DP, Ring SM, Walker N, Clayton DG, Twells RC, Gough SC, Todd JA: Replication of an association between the lymphoid tyrosine phosphatase locus (LYP/PTPN22) with type 1 diabetes, and evidence for its role as a general autoimmunity locus. Diabetes53 :3020 –3023,2004
    OpenUrlAbstract/FREE Full Text
  17. ↵
    Onengut-Gumuscu S, Ewens KG, Spielman RS, Concannon P: A functional polymorphism (1858C/T) in the PTPN22 gene is linked and associated with type I diabetes in multiplex families. Genes Immun5 :678 –680,2004
    OpenUrlCrossRefPubMedWeb of Science
  18. ↵
    Cohen S, Dadi H, Shaoul E, Sharfe N, Roifman CM: Cloning and characterization of a lymphoid-specific, inducible human protein tyrosine phosphatase, Lyp. Blood93 :2013 –2024,1999
    OpenUrlAbstract/FREE Full Text
  19. ↵
    Cloutier JF, Veillette A: Association of inhibitory tyrosine protein kinase p50csk with protein tyrosine phosphatase PEP in T cells and other hemopoietic cells. EMBO J15 :4909 –4918,1996
    OpenUrlPubMedWeb of Science
  20. ↵
    Cloutier JF, Veillette A: Cooperative inhibition of T-cell antigen receptor signaling by a complex between a kinase and a phosphatase. J Exp Med189 :111 –121,1999
    OpenUrlAbstract/FREE Full Text
  21. ↵
    Begovich AB, Carlton VE, Honigberg LA, Schrodi SJ, Chokkalingam AP, Alexander HC, Ardlie KG, Huang Q, Smith AM, Spoerke JM, Conn MT, Chang M, Chang SY, Saiki RK, Catanese JJ, Leong DU, Garcia VE, McAllister LB, Jeffery DA, Lee AT, Batliwalla F, Remmers E, Criswell LA, Seldin MF, Kastner DL, Amos CI, Sninsky JJ, Gregersen PK: A missense single-nucleotide polymorphism in a gene encoding a protein tyrosine phosphatase (PTPN22) is associated with rheumatoid arthritis. Am J Hum Genet75 :330 –337,2004
    OpenUrlCrossRefPubMedWeb of Science
  22. ↵
    Kyogoku C, Langefeld CD, Ortmann WA, Lee A, Selby S, Carlton VE, Chang M, Ramos P, Baechler EC, Batliwalla FM, Novitzke J, Williams AH, Gillett C, Rodine P, Graham RR, Ardlie KG, Gaffney PM, Moser KL, Petri M, Begovich AB, Gregersen PK, Behrens TW: Genetic association of the R620W polymorphism of protein tyrosine phosphatase PTPN22 with human SLE. Am J Hum Genet75 :504 –507,2004
    OpenUrlCrossRefPubMedWeb of Science
  23. ↵
    Begovich AB, Caillier SJ, Alexander HC, Penko JM, Hauser SL, Barcellos LF, Oksenberg JR: The R620W polymorphism of the protein tyrosine phosphatase PTPN22 is not associated with multiple sclerosis. Am J Hum Genet76 :184 –187,2005
    OpenUrlCrossRefPubMedWeb of Science
  24. Nistor I, Nair RP, Stuart P, Hiremagalore R, Thompson RA, Jenisch S, Weichenthal M, Abecasis GR, Qin ZS, Christophers E, Lim HW, Voorhees JJ, Elder JT: Protein tyrosine phosphatase gene PTPN22 polymorphism in psoriasis: lack of evidence for association. J Invest Dermatol125 :395 –396,2005
    OpenUrlPubMedWeb of Science
  25. ↵
    van Oene M, Wintle RF, Liu X, Yazdanpanah M, Gu X, Newman B, Kwan A, Johnson B, Owen J, Greer W, Mosher D, Maksymowych W, Keystone E, Rubin LA, Amos CI, Siminovitch KA: Association of the lymphoid tyrosine phosphatase R620W variant with rheumatoid arthritis, but not Crohn’s disease, in Canadian populations. Arthritis Rheum52 :1993 –1998,2005
    OpenUrlCrossRefPubMedWeb of Science
  26. ↵
    Ladner MB, Bottini N, Valdes AM, Noble JA: Association of the single nucleotide polymorphism C1858T of the PTPN22 gene with type 1 diabetes. Hum Immunol66 :60 –64,2005
    OpenUrlPubMedWeb of Science
  27. Kahles H, Ramos-Lopez E, Lange B, Zwermann O, Reincke M, Badenhoop K: Sex-specific association of PTPN22 1858T with type 1 diabetes but not with Hashimoto’s thyroiditis or Addison’s disease in the German population. Eur J Endocrinol153 :895 –899,2005
    OpenUrlAbstract/FREE Full Text
  28. Qu H, Tessier MC, Hudson TJ, Polychronakos C: Confirmation of the association of the R620W polymorphism in the protein tyrosine phosphatase PTPN22 with type 1 diabetes in a family based study. J Med Genet42 :266 –270,2005
    OpenUrlFREE Full Text
  29. Zheng W, She JX: Genetic association between a lymphoid tyrosine phosphatase (PTPN22) and type 1 diabetes. Diabetes54 :906 –908,2005
    OpenUrlAbstract/FREE Full Text
  30. ↵
    Criswell LA, Pfeiffer KA, Lum RF, Gonzales B, Novitzke J, Kern M, Moser KL, Begovich AB, Carlton VE, Li W, Lee AT, Ortmann W, Behrens TW, Gregersen PK: Analysis of families in the multiple autoimmune disease genetics consortium (MADGC) collection: the PTPN22 620W allele associates with multiple autoimmune phenotypes. Am J Hum Genet76 :561 –571,2005
    OpenUrlCrossRefPubMedWeb of Science
  31. ↵
    Cox NJ, Wapelhorst B, Morrison VA, Johnson L, Pinchuk L, Spielman RS, Todd JA, Concannon P: Seven regions of the genome show evidence of linkage to type 1 diabetes in a consensus analysis of 767 multiplex families. Am J Hum Genet69 :820 –830,2001
    OpenUrlCrossRefPubMedWeb of Science
  32. ↵
    Abecasis GR, Cherny SS, Cookson WO, Cardon LR: Merlin-rapid analysis of dense genetic maps using sparse gene flow trees. Nat Genet30 :97 –101,2001
    OpenUrlCrossRefPubMedWeb of Science
  33. ↵
    Rozen S, Skaletsky H: Primer3 on the WWW for general users and for biologist programmers. Methods Mol Biol132 :365 –386,2000
    OpenUrlCrossRefPubMed
  34. ↵
    Barrett JC, Fry B, Maller J, Daly MJ: Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics21 :263 –265,2005
    OpenUrlAbstract/FREE Full Text
  35. ↵
    Horvath S, Xu X, Laird NM: The family based association test method: strategies for studying general genotype–phenotype associations. Eur J Hum Genet9 :301 –306,2001
    OpenUrlCrossRefPubMedWeb of Science
  36. ↵
    Horvath S, Xu X, Lake SL, Silverman EK, Weiss ST, Laird NM: Family-based tests for associating haplotypes with general phenotype data: application to asthma genetics. Genet Epidemiol26 :61 –69,2004
    OpenUrlCrossRefPubMedWeb of Science
  37. ↵
    O’Connell JR, Weeks DE: PedCheck: a program for identification of genotype incompatibilities in linkage analysis. Am J Hum Genet63 :259 –266,1998
    OpenUrlCrossRefPubMedWeb of Science
  38. ↵
    Lake SL, Blacker D, Laird NM: Family-based tests of association in the presence of linkage. Am J Hum Genet67 :1515 –1525,2000
    OpenUrlCrossRefPubMedWeb of Science
  39. ↵
    Ramensky V, Bork P, Sunyaev S: Human non-synonymous SNPs: server and survey. Nucleic Acid Res30 :3894 –3900,2002
    OpenUrlAbstract/FREE Full Text
  40. ↵
    Ng PC, Henikoff S: Predicting deleterious amino acid substitutions. Genome Res11 :863 –874,2001
    OpenUrlAbstract/FREE Full Text
  41. ↵
    Shapiro MB, Senapathy P: RNA splice junctions of different classes of eukaryotes: sequence statistics and functional implications in gene expression. Nucleic Acid Res15 :7155 –7174,1987
    OpenUrlAbstract/FREE Full Text
  42. ↵
    Coultas L, Pellegrini M, Visvader JE, Lindeman GJ, Chen L, Adams JM, Huang DC, Strasser A: Bfk: a novel weakly proapoptotic member of the Bcl-2 protein family with a BH3 and a BH2 region. Cell Death Differ10 :185 –192,2003
    OpenUrlCrossRefPubMedWeb of Science
  43. ↵
    Carlton VE, Hu X, Chokkalingam AP, Schrodi SJ, Brandon R, Alexander HC, Chang M, Catanese JJ, Leong DU, Ardlie KG, Kastner DL, Seldin MF, Criswell LA, Gregersen PK, Beasley E, Thomson G, Amos CI, Begovich AB: PTPN22 genetic variation: evidence for multiple variants associated with rheumatoid arthritis. Am J Hum Genet77 :567 –581,2005
    OpenUrlCrossRefPubMedWeb of Science
  44. ↵
    Vang T, Congia M, Macis MD, Musumeci L, Orru V, Zavattari P, Nika K, Tautz L, Tasken K, Cucca F, Mustelin T, Bottini N: Autoimmune-associated lymphoid tyrosine phosphatase is a gain-of-function variant. Nat Genet37 :1317 –1319,2005
    OpenUrlCrossRefPubMedWeb of Science
  45. ↵
    Takahashi T, Tanaka H, Iguchi N, Kitamura K, Chen Y, Maekawa M, Nishimura H, Ohta H, Miyagawa Y, Matsumiya K, Okuyama A, Nishimune Y: Rosbin: a novel homeobox-like protein gene expressed exclusively in round spermatids. Biol Reprod70 :1485 –1492,2004
    OpenUrlAbstract/FREE Full Text
  46. ↵
    Demuth I, Digweed M, Concannon P: Human SNM1B is required for normal cellular response to both DNA interstrand crosslink-inducing agents and ionizing radiation. Oncogene23 :8611 –8618,2004
    OpenUrlCrossRefPubMedWeb of Science
PreviousNext
Back to top

In this Issue

October 2006, 55(10)
  • Table of Contents
  • Index by Author
Sign up to receive current issue alerts
View Selected Citations (0)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word about Diabetes.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
A Haplotype-Based Analysis of the PTPN22 Locus in Type 1 Diabetes
(Your Name) has forwarded a page to you from Diabetes
(Your Name) thought you would like to see this page from the Diabetes web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
A Haplotype-Based Analysis of the PTPN22 Locus in Type 1 Diabetes
Suna Onengut-Gumuscu, Jane H. Buckner, Patrick Concannon
Diabetes Oct 2006, 55 (10) 2883-2889; DOI: 10.2337/db06-0225

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Add to Selected Citations
Share

A Haplotype-Based Analysis of the PTPN22 Locus in Type 1 Diabetes
Suna Onengut-Gumuscu, Jane H. Buckner, Patrick Concannon
Diabetes Oct 2006, 55 (10) 2883-2889; DOI: 10.2337/db06-0225
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • RESEARCH DESIGN AND METHODS
    • RESULTS
    • DISCUSSION
    • Acknowledgments
    • Footnotes
    • REFERENCES
  • Figures & Tables
  • Info & Metrics
  • PDF

Related Articles

Cited By...

More in this TOC Section

  • PTPN2, a Candidate Gene for Type 1 Diabetes, Modulates Pancreatic β-Cell Apoptosis via Regulation of the BH3-Only Protein Bim
  • Single Insulin-Specific CD8+ T Cells Show Characteristic Gene Expression Profiles in Human Type 1 Diabetes
  • Cesarean Section and Interferon-Induced Helicase Gene Polymorphisms Combine to Increase Childhood Type 1 Diabetes Risk
Show more Genetics

Similar Articles

Navigate

  • Current Issue
  • Online Ahead of Print
  • Scientific Sessions Abstracts
  • Collections
  • Archives
  • Submit
  • Subscribe
  • Email Alerts
  • RSS Feeds

More Information

  • About the Journal
  • Instructions for Authors
  • Journal Policies
  • Reprints and Permissions
  • Advertising
  • Privacy Policy: ADA Journals
  • Copyright Notice/Public Access Policy
  • Contact Us

Other ADA Resources

  • Diabetes Care
  • Clinical Diabetes
  • Diabetes Spectrum
  • Scientific Sessions Abstracts
  • Standards of Medical Care in Diabetes
  • BMJ Open - Diabetes Research & Care
  • Professional Books
  • Diabetes Forecast

 

  • DiabetesJournals.org
  • Diabetes Core Update
  • ADA's DiabetesPro
  • ADA Member Directory
  • Diabetes.org

© 2021 by the American Diabetes Association. Diabetes Print ISSN: 0012-1797, Online ISSN: 1939-327X.