Identification of novel genome-wide pleiotropic associations with oral inflammatory traits

The peripheral immune cell counts and mouth ulcers: A two-sample Mendelian randomization study

Objective

This study explored the causal association of peripheral immune cell counts with mouth ulcers (MUs) by two-sample Mendelian Randomization.

Design

The counts of 12 circulating immune cell types (leukocytes, lymphocytes, monocytes, eosinophils, neutrophils, basophils, CD4+ cells, CD8+ cells, unswitched memory B cells, NK cells, B cells and a derived ratio (CD4+/CD8+)) were determined as the exposure. MUs were the outcome. The analysis was conducted mostly using the inverse-variance weighted (IVW) approach. MR Egger, weighted median, weighted mode and simple mode were used to detect the horizontal pleiotropy.

Results

The IVW results for leukocytes and lymphocyte counts were OR = 0.93, 95 % CI = 0.88-0.98, p = 0.0115 and OR = 0.91, 95 % CI: 0.84-0.98, p = 0.0150, respectively. The Wald ratio result for CD4+ cell and CD8+ cell counts were OR = 0.70, 95 % CI: 0.65-0.75, p = 1.05 × 10-20 and OR = 1.25, 95 % CI: 1.19-1.31, p = 9.99 × 10-21, respectively.

Conclusions

This study supports a causal effect of peripheral immune cell counts on MUs. Higher leukocyte, lymphocyte and CD4+ cell counts can protect against MUs, but higher CD8+ cell counts enhance the risk of MUs. This finding confirms host immune factors play a crucial role in the aetiology of MUs.

Big data, big consortia, and pain: UK Biobank, PAINSTORM, and DOLORisk

Chronic pain (CP) is a common and often debilitating disorder that has major social and economic impacts. A subset of patients develop CP that significantly interferes with their activities of daily living and requires a high level of healthcare support. The challenge for treating physicians is in preventing the onset of refractory CP or effectively managing existing pain. To be able to do this, it is necessary to understand the risk factors, both genetic and environmental, for the onset of CP and response to treatment, as well as the pathogenesis of the disorder, which is highly heterogenous. However, studies of CP, particularly pain with neuropathic characteristics, have been hindered by a lack of consensus on phenotyping and data collection, making comparisons difficult. Furthermore, existing cohorts have suffered from small sample sizes meaning that analyses, especially genome-wide association studies, are insufficiently powered. The key to overcoming these issues is through the creation of large consortia such as DOLORisk and PAINSTORM and biorepositories, such as UK Biobank, where a common approach can be taken to CP phenotyping, which allows harmonisation across different cohorts and in turn increased study power. This review describes the approach that was used for studying neuropathic pain in DOLORisk and how this has informed current projects such as PAINSTORM, the rephenotyping of UK Biobank, and other endeavours. Moreover, an overview is provided of the outputs from these studies and the lessons learnt for future projects.