Mutations in PRSS1 Put into Perspective

I have read with interest the recent paper by Liu and Zhang [1] on the putative association of the PRSS1 gene with pancreatitis. In their article, the authors claim a highly significant association based on a meta-analysis of seven previous case-control studies. Their methodological approach, however, warrants a cautionary comment. To assess the impact of PRSS1 mutations, the authors have conceptualized the entire gene as a risk-modifier. Thus instead of counting carriers of a single variant, all carriers of at least one variant were supposedly grouped together. Clearly, a metaanalysis in this fashion is quite uninformative. A gene is made up of numerous DNA base pairs of which some may augment the risk for disease, while others may act in the opposite direction and yet others act neutrally with regard to a given phenotype. Similar risk-enhancing effects of genetic variants within the same gene imply that linkage disequilibrium between these markers is very high. This does not apply to PRSS1 mutations and therefore no rationale exists for indiscriminate pooling of mutations or polymorphisms (i.e. N29I, N29T, L104P, R116C, A121T, R122H, R122C, T137M, C139S, D162D, G208A) across the gene. When data are re-analyzed for the two most commonly examined mutations (N29I and R122H) assuming a dominant mode of inheritance for the minor allele under a random effects model, and applying a Bonferroni correction, the overall net effect remains significant for R122H (pcorrected = .03) but is only borderline significant for N29I (pcorrected = .05, Fig. 1). When the same analysis is restricted to European populations, significance is lost for N29I (pcorrected > .09). Moreover, the true effect of PRSS1 variants is likely obscured by pooling of all age-groups, pooling of acute and chronic phenotypes, pooling of early and late onset phenotypes, plus pooling of primary and secondary forms of pancreatitis. Future analyses will need to reassess in more detail the association with PRSS1 for subjects with respect to high and low genetic load.