METHOD: A literature review was carried out, power and other issues discussed, and planned studies assessed.
RESULTS: Most of the genomic DNA sequence differences between any two people are common (frequency >5%) single nucleotide polymorphisms (SNPs). Because of localized patterns of correlation (linkage disequilibrium), 500,000 to 1,000,000 of these SNPs can test the hypothesis that one or more common variants explain part of the genetic risk for a disease. GWAS technologies can also detect some of the copy number variants (deletions and duplications) in the genome. Systematic study of rare variants will require large-scale resequencing analyses. GWAS methods have detected a remarkable number of robust genetic associations for dozens of common diseases and traits, leading to new pathophysiological hypotheses, although only small proportions of genetic variance have been explained thus far and therapeutic applications will require substantial further effort. Study design issues, power, and limitations are discussed. For psychiatric disorders, there are initial significant findings for common SNPs and for rare copy number variants, and many other studies are in progress.
CONCLUSIONS: GWAS of large samples have detected associations of common SNPs and of rare copy number variants with psychiatric disorders. More findings are likely, since larger GWAS samples detect larger numbers of common susceptibility variants, with smaller effects. The Psychiatric GWAS Consortium is conducting GWAS meta-analyses for schizophrenia, bipolar disorder, major depressive disorder, autism, and attention deficit hyperactivity disorder. Based on results for other diseases, larger samples will be required. The contribution of GWAS will depend on the true genetic architecture of each disorder.
MATERIALS AND METHODS: The study group included 105 patients with CP, with the age of the disease onset under 40 years old (the average age of onset was 26.9 years). The control group consisted of 76 persons without clinical signs of pancreatitis. The diagnosis of chronic pancreatitis in patients was made on the basis of clinical manifestations and the results of laboratory and instrumental investigations. Genetic examination of patients was conducted using the next-generation sequencing (NGS) technology and included targeted sequencing of all exons and exon-intron boundaries of the PRSS1, SPINK1, CTRC, CFTR, and CPA1 genes. The genotyping of the rs61734659 locus of the PRSS2 gene was also conducted.
RESULTS: Genetic risk factors of the CP development were found in 61% of patients. Pathogenic and likely-pathogenic variants associated with the risk of CP development were identified in the following genes: CTRC (37.1% of patients), CFTR (18.1%), SPINK1 (8.6%), PRSS1 (8.6%), and CPA1 (6.7%). The frequent gene variants in Russian patients with CP were as follows: CTRC gene - c.180C>T (rs497078), c.760C>T (rs121909293), c.738_761del24 (rs746224507); cumulative odds ratio (OR) for all risk alleles was 1.848 (95% CI: 1.054-3.243); CFTR gene - c.3485G>T (rs1800120), c.1521_1523delCTT (p.Phe508del, rs113993960), and c.650A>G (rs121909046); OR=2.432 (95% CI: 1.066-5.553). In the SPINK1, PRSS1, and CPA1 genes, pathogenic variants were found only in the group of patients with CP. The frequent variants of the SPINK1 gene include c.101A>G (p.Asn34Ser, rs17107315) and c.194+2T>C (rs148954387); of the PRSS1 gene - c.86A>T (p.Asn29Ile, rs111033566); of the CPA1 gene - c.586-30C>T (rs782335525) and c.696+23_696+24delGG. The OR for the CP development for the c.180TT genotype (rs497078) CTRC according to the recessive model (TT vs. CT+CC) was 7.05 (95% CI: 0.86-263, p=0.011). In the CTRC gene, the variant c.493+49G>C (rs6679763) appeared to be benign, the c.493+51C>A (rs10803384) variant was frequently detected among both the diseased and healthy persons and did not demonstrate a protective effect. The protective factor c.571G>A (p.Gly191Arg, rs61734659) of the PRSS2 gene was detected only in the group of healthy individuals and confirmed its protective role. 12.4% of the patients with CP had risk factors in 2 or 3 genes.
CONCLUSION: Sequencing of the coding regions of the PRSS1, SPINK1, CTRC, CFTR, and CPA1 genes allowed to identify genetic risk factors of the CP development in 61% of cases. Determining the genetic cause of CP helps to predict the disease course, perform preventive measures in the proband's relatives, and facilitate a personalized treatment of the patient in future.