AbstractAsparaginase-associated pancreatitis is a life-threatening toxicity to childhood acute lymphoblastic leukemia treatment. To elucidate genetic predisposition and asparaginase-associated pancreatitis pathogenesis, ten trial groups contributed remission samples from patients aged 1.0−17.9 years treated for acute lymphoblastic leukemia between 2000 and 2016. Cases (n=244) were defined by the presence of at least two of the following criteria: (i) abdominal pain; (ii) levels of pancreatic enzymes ≥3 × upper normal limit; and (iii) imaging compatible with pancreatitis. Controls (n=1320) completed intended asparaginase therapy, with 78% receiving ≥8 injections of pegylated-asparaginase, without developing asparaginase-associated pancreatitis. rs62228256 on 20q13.2 showed the strongest association with the development of asparaginase-associated pancreatitis (odds ratio=3.75; P=5.2×10−8). Moreover, rs13228878 (OR=0.61; P=7.1×10−6) and rs10273639 (OR=0.62; P=1.1×10−5) on 7q34 showed significant association with the risk of asparaginase-associated pancreatitis. A Dana Farber Cancer Institute ALL Consortium cohort consisting of patients treated on protocols between 1987 and 2004 (controls=285, cases=33), and the Children’s Oncology Group AALL0232 cohort (controls=2653, cases=76) were available as replication cohorts for the 20q13.2 and 7q34 variants, respectively. While rs62228256 was not validated as a risk factor (P=0.77), both rs13228878 (P=0.03) and rs10273639 (P=0.04) were. rs13228878 and rs10273639 are in high linkage disequilibrium (r2=0.94) and associated with elevated expression of the PRSS1 gene, which encodes for trypsinogen, and are known risk variants for alcohol-associated and sporadic pancreatitis in adults. Intra-pancreatic trypsinogen cleavage to proteolytic trypsin induces autodigestion and pancreatitis. In conclusion, this study finds a shared genetic predisposition between asparaginase-associated pancreatitis and non-asparaginase-associated pancreatitis, and targeting the trypsinogen activation pathway may enable identification of effective interventions for asparaginase-associated pancreatitis.
Intensification of chemotherapy for childhood acute lymphoblastic leukemia (ALL) has generated 5-year survival rates greater than 90%, but has been associated with an increase in therapy-related toxicity.1 Asparaginase is a key drug in the treatment of childhood ALL and there is growing interest in its use as an anti-metastatic agent in breast cancer.2 Asparaginase depletes the body of the nonessential amino acid asparagine through deamidation of asparagine into aspartic acid and ammonia,3 and targets protein synthesis in malignant lymphoblasts by impairing the ability to synthesize asparagine.54 Pancreatitis associated with asparaginase therapy (AAP) is a frequent toxicity affecting 4−10% of children treated on contemporary ALL protocols, and is associated with severe complications.96 In addition, re-exposure to asparaginase after AAP is associated with a high risk (~50%) of a second episode of AAP, and thus AAP often entails truncation of asparaginase therapy, thereby decreasing the patients’ chance of survival.954 The mechanism(s) by which asparaginase causes pancreatitis are elusive, thus hampering attempts to identify patients with an altered risk of AAP.10 The Ponte di Legno toxicity working group, therefore, initiated a study with three main purposes: (i) to define diagnostic consensus criteria for AAP;11 (ii) to describe the phenotype of AAP in patients across multiple ALL trial groups;9 and (iii) to explore genotype-phenotype associations, using a genome-wide approach, to identify patients with altered risk of AAP.119 Genome-wide association (GWA) studies are agnostic by design, reporting phenotype-genotype associations without prior hypotheses and often including speculative mechanisms. Replication of GWA study results are thus a requisite for credibility Accordingly, this study presents results from the largest AAP GWA study so far, with a strong focus on investigating previously validated variants associated with non-asparaginase-induced pancreatitis and replicating top results in similar childhood ALL cohorts.
Study design and participants
Ten international childhood ALL trial groups (Online Supplementary Table S1) contributed to the discovery cohort. Post-remission DNA was collected from June 2015 to January 2017, three groups collected DNA on AAP cases only while seven groups did so on both cases and controls (Online Supplementary Figure S1). The database containing phenotype data was approved by the regional ethical review board of The Capital Region of Denmark (H-2-2010-022), the Danish Data Protection Authorities (j.nr.: 2012-58-0004), and by relevant regulatory authorities in all participating countries. Genotype data were stored at the Technical University of Denmark’s server Computerome.12
Children (aged 1.0–17.9 years) with newly diagnosed ALL between January 2000 and January 2016 were eligible, irrespective of ethnicity. Pancreatitis was defined as asparaginase-associated if diagnosed within 50 days of the last injection of native E. coli asparaginase or polyethylene glycolated E. coli asparaginase (PEG-asparaginase) and cases fulfilled the Ponte di Legno toxicity working group consensus definition for AAP: i.e., at least two of (i) amylase, pancreatic amylase, or pancreatic lipase ≥3 × upper normal limit; (ii) abdominal pain; and (iii) imaging compatible with imaging compatible with pancreatitis. All controls received the planned amount of asparaginase therapy in their respective protocols, with more than 78% (1024/1320) receiving at least eight injections of PEG-asparaginase without developing AAP. A subset of 62 AAP cases was previously included in a Nordic Society of Pediatric Hematology and Oncology (NOPHO) GWA study.13 These samples were genotyped on identical genotyping arrays as the remaining cohort, and raw genotyping data on these patients were pooled with those of the remaining cohort prior to quality control, and association analyses were done in one cohort.
Post-remission DNA was genotyped by Aros Applied Biotechnology A/S (Aarhus, Denmark) on Illumina Omni2.5exome-8 BeadChip arrays using the human genome assembly (GRCh37) for reference. Quality control was performed using the PLINK tool,14 and single nucleotide polymorphisms (SNPs) were annotated in Ensembl Variant Effect Predictor GCRCh37.15 Alleles given are refSNP alleles according to dbSNP (not necessarily the alleles supplied by the Illumina map).16
Quality control was performed according to previously published criteria17 (Online Supplementary Figures S2-4), excluding individuals with: (i) a discordance in number of X chromosomes between geno- and phenotypes; (ii) missing data on >3% of SNPs; (iii) excess heterozygosity between autosomal SNPs; and (iv) high relatedness between samples. SNPs were excluded based on: (i) missing data on >2% of individuals (call rate); (ii) Hardy-Weinberg equilibrium; (iii) minor allele frequency <0.01; (iv) difference in call rate between cases and controls (Fisher exact test P<1.10); and (v) duplicated genomic position.
Three top SNPs were tested for validation in two separate cohorts. The Children’s Oncology Group AALL0232 ALL cohort included previously genotyped data on PRSS1-2 variants (but not on the NFATC2 variant). The NFATC2 variant was genotyped de novo in a cohort of patients from the Dana Farber Cancer Institute (DFCI) ALL Consortium protocols 87−01, 91−01, 95−01 and 00−01 (1987-2004). The AALL0232 ALL cohort included 76 cases diagnosed using National Cancer Institute’s Common Terminology Criteria for Adverse Events (CTCAE criteria) (Online Supplement pages 6−9) and 2577 controls.8 The cohort is described in detail in the appendix.8 The AALL0232 cohort was genotyped on the Affymetrix Genome-Wide Human SNP 6.0 Array, and imputed genotypes were generated using 1000 Genomes as the reference population as reported (ref: PMID 26265699). Time-dependent analysis (Cox proportional hazards regression) was performed adjusting for age and ancestry. The cohort of patients treated on the DFCI ALL Consortium protocols 87−01, 91−01, 95−01 and 00−01 received 20−30 weeks of post-induction asparaginase therapy (Online Supplement pages 9-11). Thirty-three cases diagnosed according to the CTCAE criteria and 285 controls were included in this cohort, and genotyped by allele-specific oligonucleotide hybridization as described elsewhere.1918 The Pearson correlation coefficient was used to investigate associations between genotype and AAP.
Association analysis was done in PLINK using logistic regression, assuming an additive genetic model, and adjusting for genetic ancestry and age. Genetic ancestry was determined by clustering analysis, and non-CEU ancestry was defined as individuals >16 standard deviations away from the HapMap-defined CEU (Northern and Western European) centroid mean. Using this model, multidimensional scaling plots showed an equal distribution of cases and controls according to ancestry (Online Supplementary Figure S3) and QQ plots showed no sign of population substructure (λ = 1.02, Online Supplementary Figure S4). Statistical analysis of phenotype and genotype associations was performed in the statistical program R version 22.214.171.124 Linear and logistic regression analyses were used to identify associations between genotypes and continuous or categorical clinical variables adjusting for age and ancestry. Genotype was treated as a numerical value (0, 1 or 2 minor alleles) for additive effect. The Kaplan-Meier method was used to estimate probability of event-free survival according to genotypes, and differences were compared with the two-sided log-rank test. No prior sample size calculations were applied for pre-study power calculations. Two-sided P-values below 0.05 were regarded as statistically significant. SNPs were annotated to genes 10 kb up- or downstream from transcription start- and end-sites, respectively, and all SNPs with a P-value below 5 × 10 were manually inspected for associations with genes and pathways previously related to pancreatitis. Investigated SNPs were explored using dbSNP16 and Ensembl,15 linkage disequilibrium (LD) between SNPs by the National Cancer Institute LDassoc tool,21 tissue expression (expressive quantitative trait loci) by GTeX,22 regulatory effect by RegulomeDB,23 and regional association plots were produced by the LocusZoom tool.24 Genes and SNPs previously associated with pancreatitis were investigated by searching PubMed for reports published in English within the last 10 years, using the search terms “pancreatitis” AND “genome” OR “genetic” OR “genotype” in the title. Gene functions were defined by Genecards25 (www.genecards.org).
After quality control filtering, 244 cases, 1320 controls and 1401908 SNPs were eligible for association analysis. Two hundred and five of the 244 (84%) cases and 1185/1320 (90%) of controls were of European (CEU) ancestry (Online Supplementary Figure S4). The median age (interquartile range, IQR) of the cases was 8.1 years (IQR, 4.3 to 13.1) while that of the controls was 5.0 years (IQR, 3.0 to 9.0). Fifty-five percent of both cases (133/244) and controls (724/1320) were male.
Figure 1 shows the significance of SNPs associated with AAP. The variant rs62228256 [reference allele=C, minor allele=T (C>T)] on 20q13.2 showed the strongest association with AAP [odds ratio (OR), 3.75; 95% confidence interval (95% CI): 2.33 to 6.04; P=5.2 × 10). rs62228256 is located 274 kilobase pairs upstream of Nuclear factor of activated T cells (NFATC2) and has been documented to be an expressive quantitative trait locus for this gene in pancreatic tissue (Online Supplementary Figure S5).
The 30 SNPs most associated with AAP, with P-values of 5 × 10 or lower, included rs13228878 (A>G; OR, 0.61; 95% CI: 0.5 to 0.76; P=7.1 × 10) and rs10273639 (C>T; OR, 0.62; 95% CI: 0.5 to 0.77; P=1.1 × 10) (Table 1). These SNPs reside on the same haplotype and are in high LD (CEU population LD; r=0.94) in the PRSS1-PRSS2 locus on chromosome 7 (Figure 2). PRSS1 and PRSS2 encode for the proteases cationic and anionic trypsinogen, respectively. Both minor alleles rs13228878_G and rs10273639_T reduce the risk of AAP. When performing association analysis in the CEU population of 205 AAP cases and 1185 controls, rs62228256 (OR, 3.75; 95% CI: 2.27 to 6.2; P=2.47 × 10), rs13228878 (OR, 0.60; 95% CI: 0.48 to 0.76; P=2.1 × 10) and rs10273639 (OR, 0.62; 95% CI: 0.49 to 0.78; P=3.8 × 10) (Online Supplementary Figures S6-8 and Online Supplementary Table S2) remained strongly associated with AAP. Further investigation of previously validated SNPs within genes known to regulate trypsin activation26 (Online Supplementary Table S3) showed that AAP was associated with rs17107315 in pancreatic secretory trypsin inhibitor (SPINK1; OR, 2.87; 95% CI: 1.36 to 5.8; P=4 × 10), rs10436957 in chymotrypsin C (CTRC; OR, 0.69; 95% CI: 0.53 to 0.89; P=5 × 10) and rs4409525 in Claudin-2 (CLDN2; OR, 1.41; 95% CI: 1.08 to 1.83; P=0.01) with all minor alleles altering AAP risk in the direction and with effects very similar to those previously reported.
In a logistic regression model, testing whether the effect of the most associated PRSS1-PRSS2 variant (rs13228878) was modified by rs17107315 (SPINK1), rs10436957 (CTRC) and rs4409525 (CLDN2), no significant interactions were identified (P=0.48, P=0.95 and P=0.93, respectively).
Validation of results
In validating our top SNP in the NFATC2 locus (rs62228256) and top SNPs in the PRSS1-PRSS2 locus (rs13228878 and rs10273639) we used two cohorts of children with ALL: one treated according to the DFCI ALL Consortium 87−01, 91−01, 95−01 and 00−01 protocols,2827 and the other according to Children’s Oncology Group AALL0232 protocol8 (Online Supplement pages 6−12). Whereas the association between AAP and rs6228256 genotype was not replicated in the DFCI ALL Consortium cohort (P=0.77, Online Supplement page 10), both rs13228878 (hazard ratio, 0.68; 95% CI: 0.48 to 0.96; P=0.03) and rs10273639 (hazard ratio, 0.69; 95% CI: 0.49 to 0.98; P=0.04) were significantly associated with the risk of developing pancreatitis in the AALL0232 cohort (Online Supplement page 8).
Two previous studies have investigated SNPs associated with pancreatitis in children with ALL. Using different diagnostic criteria for pancreatitis and including controls with less than 5 weeks of asparaginase therapy, Liu et al. associated the rare variant (general population minor allele frequency=0.009%) rs199695765 in carboxypeptidase A2 encoding CPA2 (hazard ratio, 587; 95% CI: 66.8 to 5166; P=9 × 10) with AAP.8 We did not directly genotype this SNP, and none of the genotyped SNPs in the CPA2 region was in LD with rs199695765. Of 32 SNPs 10 kb up- and down-stream of CPA2, rs66839817 (T>C, OR, 1.28; 95% CI: 1.03 to 1.57; P=0.02) showed the strongest association.
In a NOPHO GWA study we previously found the ULK2 variant rs281366 (P=5.8 × 10) and RGS6 variant rs17179470 (P=1.3 × 10) to be most associated with AAP.13 Excluding cases and controls from the NOPHO study, we failed to validate these results in 184 cases and 712 controls. Both rs281366 and rs17179470 were directly genotyped in this cohort with non-significant P-values (P=0.84 and P=0.32, respectively).
Table 2 shows associations between PRSS1-PRSS2 genotype and amount of PEG-asparaginase given prior to AAP, days from PEG-asparaginase injection to AAP, complications of pancreatitis, and risk of a second episode of AAP after re-exposure to asparaginase. The risk allele was not associated with number of PEG-asparaginase injections prior to AAP or time from injection of PEG-asparaginase to diagnosis of AAP. Furthermore, the risk of developing acute complications was not found to be associated with PRSS1-PRSS2 genotype (Table 2). In the Nordic subset of cases (n=92) and controls (n=1024) we found no association between PRSS1-PRSS2 genotype and 5-year event-free survival (Online Supplementary Figure S9; P=0.4). Out of 46 children who were re-exposed to asparaginase, 17 (37%) developed a second episode of AAP; although not in a statistically significant manner, the PRSS1-PRSS2 minor allele indicated the same protective effect as in the risk of initial AAP (OR, 0.49; 95% CI: 0.15 to 1.41; P=0.20).
This study is the first to find and validate variants in the PRSS1-PRSS2 locus associated with the risk of AAP in children with ALL. In doing so, we found that activation of trypsin within pancreatic acinar cells is a key initiating event in the pathogenesis of pancreatitis, regardless of the exposure i.e. alcohol, hyperlipidemia, or asparaginase. The role of trypsin activation in the pathogenesis of pancreatitis had long been suspected, but an underlying genetic susceptibility was not documented until 1996 when Whitcomb et al. documented mutations in the PRSS1 gene causing hereditary pancreatitis,29 and later associated a common genetic variant in the PRSS1-PRSS2 locus (rs10273639) with the risk of alcohol-related and sporadic pancreatitis.30 This association was recently validated in larger European and Asian cohorts, and the haplotype has been studied in detail.3331 rs10273639 is located 408 base pairs upstream of the translation initiation codon of cationic trypsinogen. A recent functional study documented that the proximal rs4726576 (C>A) variant (204 kb upstream of the translation initiation codon) drives the association.34 The rs4726576 and rs10273639 variants are in high LD (r >99%) in European and Asian populations but have a r = 0.8 in the African meta-population, and pinpointing the association driving the signal is thus of importance in the latter population. Sequencing the PRSS1-PRSS2 risk allele has not revealed disease-associated coding variants accounting for the association with pancreatitis in GWA studies; however, the risk allele (rs4726576; rs10273639) is an expressive quantitative trait locus for PRSS1 shown to elevate gene expression.3430
The activation of trypsinogen is mediated by cleavage of the N-terminus extension of cationic trypsinogen (a calcium binding site) to active trypsin. Higher levels of calcium have been shown to lead to trypsin activation, and with higher expression of trypsin as seen in patients with the (rs4726576; rs10273639) risk allele, these patients are at higher risk of trypsin activation and pancreatitis.26 In a study investigating the effect of asparaginase on pancreatic acinar cells, asparaginase evoked intracellular calcium release from the endoplasmic reticulum mediated by the protease-activated receptor 2 (Figure 3). This elevation in calcium levels in turn activated calcium release activated calcium (CRAC) channels further increasing intracellular calcium levels, leading to decreased ATP levels, trypsin activation and necrosis.35 The pancreatitis-causing mechanism seems to be independent of the anti-neoplastic effect of asparaginase, and drugs inhibiting CRAC channels could thus be used to prevent AAP during asparaginase therapy, not least in patients who are re-exposed to asparaginase after having had AAP, since these patients have a ~50% risk or developing a second episode of AAP.139
The NFATC2 associated variant rs62228256 was most significantly associated with AAP. However, with no association found in the replication study and no association with pancreatitis found in adult studies on non-asparaginase associated pancreatitis,26 the association between NFATC2 and AAP seems to have low credibility. We were not able to associate the PRSS1-PRSS2 genotype to risk of AAP-related complications, indicating that this allele only alters the risk of AAP, while the complications are a result of other factors. The validation of our PRSS1-PRSS2 top SNPs in the AALL0232 cohort strengthens the credibility of this result. The association was of similar effect size, but of borderline statistical significance, which may reflect three key issues: (i) diagnostic criteria differ between the cohorts, and cases are not completely comparable; (ii) pancreatitis is strongly associated with asparaginase exposure, and it was a prerequisite that included controls received a significant amount of asparaginase to reduce the risk of false negative controls; and (iii) the validation cohort was relatively small.3736
Our results need to be judged in the light of their limitations. The association analyses were strongly influenced by individuals of CEU ethnicity, and we cannot determine the effects in non-CEU populations. Moreover, our results for the PRSS1-PRSS2 locus did not reach genome-wide significance with a P-value <5 × 10. This highlights a challenge when doing GWA studies in cohorts of limited size, as will often be the case in childhood ALL, and requires strategies for validation in independent and similar cohorts. In this present study, we attempted to limit the problem of limited sample size by improving the quality of phenotyping, collecting individual clinical data on AAP cases and including controls with documented completion of extensive asparaginase therapy.
In conclusion, we found that children who develop AAP possess identical genetic risk variants as adults with non-asparaginase-associated pancreatitis. This may allow future preventive measures for reduction of AAP.
We thank all the researchers who scrutinized patients’ files and completed phenotype questionnaires, colleagues at Harvard Department of Biomedical Informatics for valuable insights, and organizational support from the research staff at Bonkolab, at the University Hospital Rigshospitalet. Furthermore, we thank the Bloodwise Childhood Leukaemia Cell Bank, UK, for providing samples and data for this research.
- Check the online version for the most updated information on this article, online supplements, and information on authorship & disclosures: www.haematologica.org/content/104/3/556
- FundingThis study was funded by the Kirsten and Freddy Johansen Foundation, the Danish Childhood Cancer Foundation, the Swedish Childhood Cancer Foundation and the Danish Cancer Society (R150-A10181).
- Received June 6, 2018.
- Accepted November 16, 2018.
- Schmiegelow K, Müller K, Mogensen SS. Non-infectious chemotherapy-associated acute toxicities during childhood acute lymphoblastic leukemia therapy. F1000Res. 2017;6444. Google Scholar
- Knott SRV, Wagenblast E, Khan S. Asparagine bioavailability governs metastasis in a model of breast cancer. Nature. 2018; 554(7692):378-381. Google Scholar
- Müller HJ, Boos J. Use of L-asparaginase in childhood ALL. Crit Rev Oncol Hematol. 1998; 28(2):97-113. PubMedhttps://doi.org/10.1016/S1040-8428(98)00015-8Google Scholar
- Pession A, Valsecchi MG, Masera G. Long-term results of a randomized trial on extended use of high dose L-asparaginase for standard risk childhood acute lymphoblastic leukemia. J Clin Oncol. 2005; 23(28):7161-7167. PubMedhttps://doi.org/10.1200/JCO.2005.11.411Google Scholar
- Silverman LB. Improved outcome for children with acute lymphoblastic leukemia: results of Dana-Farber Consortium Protocol 91-01. Blood. 2001; 97(5):1211-1218. PubMedhttps://doi.org/10.1182/blood.V97.5.1211Google Scholar
- Haskell CM, Canellos GP, Leventhal BG. L-Asparaginase. N Engl J Med. 1969; 281(19):1028-1034. PubMedhttps://doi.org/10.1056/NEJM196911062811902Google Scholar
- Raja RA, Schmiegelow K, Frandsen TL. Asparaginase-associated pancreatitis in children. Br J Haematol. 2012; 159:18-27. PubMedhttps://doi.org/10.1111/bjh.12016Google Scholar
- Liu C, Yang W, Devidas M. Clinical and genetic risk factors for acute pancreatitis in patients with acute lymphoblastic leukemia. J Clin Oncol. 2016; 34(18):2133-2140. PubMedhttps://doi.org/10.1200/JCO.2015.64.5812Google Scholar
- Wolthers BO, Frandsen TL, Baruchel A. Asparaginase-associated pancreatitis in childhood acute lymphoblastic leukaemia: an observational Ponte di Legno Toxicity Working Group study. Lancet Oncol. 2017; 18(9):1238-1248. Google Scholar
- Pemmaraju N, Rytting ME. Questions on asparaginase-associated pancreatitis. Lancet Oncol. 2017; 18(9):1148-1149. Google Scholar
- Schmiegelow K, Attarbaschi A, Barzilai S. Consensus definitions of 14 severe acute toxic effects for childhood lymphoblastic leukaemia treatment: a Delphi consensus. Lancet Oncol. 2016; 17(6):e231-e239. Google Scholar
- Computerome.Google Scholar
- Wolthers BO, Frandsen TL, Abrahamsson J. Asparaginase-associated pancreatitis. A study on pheno-and genotype in the NOPHO ALL2008 protocol. Leukemia. 2017; 31(2):325-332. Google Scholar
- Purcell S, Neale B, Todd-Brown K. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007; 81(3):559-575. PubMedhttps://doi.org/10.1086/519795Google Scholar
- Yates A, Akanni W, Amode MR. Ensembl 2016. Nucleic Acids Res. 2016; 44(D1):D710-D716. PubMedhttps://doi.org/10.1093/nar/gkv1157Google Scholar
- Sherry ST, Ward MH, Kholodov M. dbSNP: the NCBI database of genetic variation. Nucleic Acids Res. 2001; 29(1):308-311. PubMedhttps://doi.org/10.1093/nar/29.1.308Google Scholar
- Anderson CA, Pettersson FH, Clarke GM, Cardon LR, Morris P, Zondervan KT. Data quality control in genetic case-control association studies. Nat Protoc. 2011; 5(9):1564-1573. Google Scholar
- Bourgeois S, Labuda D. Dynamic allele-specific oligonucleotide hybridization on solid support. Anal Biochem. 2004; 324(2):309-311. PubMedhttps://doi.org/10.1016/j.ab.2003.10.006Google Scholar
- Labuda D, Krajinovic M, Richer C. Rapid detection of CYP1A1, CYP2D6, and NAT variants by multiplex polymerase chain reaction and allele-specific oligonucleotide assay. anal biochem. 1999; 275(1):84-92. PubMedhttps://doi.org/10.1006/abio.1999.4293Google Scholar
- R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing: Vienna, Austria.Google Scholar
- Machiela MJ, Chanock SJ. LDassoc: an online tool for interactively exploring genome-wide association study results and prioritizing variants for functional investigation. Bioinformatics. 2018; 34(5):887-889. Google Scholar
- Lonsdale J, Thomas J, Salvatore M. The genotype-tissue expression (GTEx) project. Nat Genet. 2013; 45(6):580-585. PubMedhttps://doi.org/10.1038/ng.2653Google Scholar
- Boyle AP, Hong EL, Hariharan M. Annotation of functional variation in personal genomes using RegulomeDB. Genome Res. 2012; 22(9):1790-1797. PubMedhttps://doi.org/10.1101/gr.137323.112Google Scholar
- Pruim RJ, Welch RP, Sanna S. LocusZoom: regional visualization of genome-wide association scan results. Bioinformatics. 2010; 26(18):2336-2337. PubMedhttps://doi.org/10.1093/bioinformatics/btq419Google Scholar
- Rebhan M, Chalifa-Caspi V, Prilusky J, Lancet D. GeneCards: integrating information about genes, proteins and diseases. Trends Genet. 1997; 13(4):163. PubMedhttps://doi.org/10.1016/S0168-9525(97)01103-7Google Scholar
- Zator Z, Whitcomb DC. Insights into the genetic risk factors for the development of pancreatic disease. Therap Adv Gastroenterol. 2017; 10(3):323-336. Google Scholar
- Vrooman LM, Supko JG, Neuberg DS. Erwinia asparaginase after allergy to E. coli asparaginase in children with acute lymphoblastic leukemia. Pediatr Blood Cancer. 2010; 54(2):199-205. PubMedGoogle Scholar
- Silverman LB, Stevenson KE, Brien JEO. Long-term results of Dana-Farber Cancer Institute ALL Consortium protocols for children with newly diagnosed acute lymphoblastic leukemia (1985–2000). Leukemia. 2010; 24(2):617-632. Google Scholar
- Whitcomb DC, Gorry MC, Preston RA. Hereditary pancreatitis is caused by a mutation in the cationic trypsinogen gene. Nat Genet. 1996; 14(2):141-145. PubMedhttps://doi.org/10.1038/ng1096-141Google Scholar
- Whitcomb DC, LaRusch J, Krasinskas AM. Common genetic variants in the CLDN2 and PRSS1-PRSS2 loci alter risk for alcohol-related and sporadic pancreatitis. Nat Genet. 2012; 44(12):1349-1354. PubMedhttps://doi.org/10.1038/ng.2466Google Scholar
- Rosendahl J, Kirsten H, Hegyi E. Genome-wide association study identifies inversion in the CTRB1-CTRB2 locus to modify risk for alcoholic and non-alcoholic chronic pancreatitis. Gut. 2018; 67(10):1855-1863. PubMedhttps://doi.org/10.1136/gutjnl-2017-314454Google Scholar
- Masamune A, Nakano E, Hamada S, Kakuta Y, Kume K, Shimosegawa T. Common variants at PRSS1–PRSS2 and CLDN2–MORC4 loci associate with chronic pancreatitis in Japan. Gut. 2015; 64(8):1345-1346. PubMedhttps://doi.org/10.1136/gutjnl-2015-309802Google Scholar
- Paliwal S, Bhaskar S, Reddy DN. Association analysis of PRSS1-PRSS2 and CLDN2-MORC4 variants in nonalcoholic chronic pancreatitis using tropical calcific pancreatitis as model. Pancreas. 2016; 45(8):1153-1157. Google Scholar
- Boulling A, Sato M, Masson E, Génin E, Chen J-M, Férec C. Identification of a functional PRSS1 promoter variant in linkage disequilibrium with the chronic pancreatitis-protecting rs10273639. Gut. 2015; 64(11):1837-1838. PubMedhttps://doi.org/10.1136/gutjnl-2015-310254Google Scholar
- Peng S, Gerasimenko JV, Tsugorka T. Calcium and adenosine triphosphate control of cellular pathology: asparaginase-induced pancreatitis elicited via protease-activated receptor 2. Philos Trans R Soc Lond B Biol Sci. 2016; 371(1700)Google Scholar
- Sud A, Kinnersley B, Houlston RS. Genome-wide association studies of cancer: current insights and future perspectives. Nat Rev Cancer. 2017; 17(11):692-704. Google Scholar
- Ioannidis JPA, Thomas G, Daly MJ. Validating, augmenting and refining genome-wide association signals. Nat Rev Genet. 2009; 10(5):318-329. PubMedhttps://doi.org/10.1038/nrg2544Google Scholar