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

Jin, Yanjiao; Yang, Jie; Zhang, Shuyue; Shi, Xuefeng; Li, Jin; Wang, Songlin

doi:10.1007/s00438-021-01826-6

Cited by 2 publications

(4 citation statements)

References 33 publications

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“…For MUs, the GWAS data were obtained from Jin Y et al [ 24 ], who analysed the genome-wide characteristics of mouth ulcers from 36,831 European ancestry participants and 323,010 controls. These data were also recorded in the UK Biobank ( https://www.ukbiobank.ac.uk ).…”

Section: Methodsmentioning

confidence: 99%

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

Wang,

Hu,

Shen

et al. 2024

Heliyon

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Section: Methodsmentioning

confidence: 99%

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

Wang,

Hu,

Shen

et al. 2024

Heliyon

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“…The availability of genome-wide genotyping data has advanced our understanding of genetic risk factors for pain and provided insights into the biological pathways involved. Novel genome-wide significant (GWS) genetic loci have been identified for back, 16 , 45 , 46 , 114 knee, 84 neck/shoulder, 86 , 132 frozen shoulder, 53 and stomach or abdominal pain 132 as well as pain relating to oral inflammatory diseases, 62 multisite CP, 63 , 64 , 66 , 132 and CWP. 96 These findings suggest a key role for genes involved in the central nervous system, 16 , 45 , 63 , 66 dorsal root ganglion, 64 and immune regulation.…”

Section: Uk Biobank (Chronic Pain Cohort)mentioning

confidence: 99%

“… 96 These findings suggest a key role for genes involved in the central nervous system, 16 , 45 , 63 , 66 dorsal root ganglion, 64 and immune regulation. 62 It has also highlighted some key differences in the genetics underpinning certain subsets of pain. For example, chronic back pain seems to be much more heritable than acute back pain (4.6% vs 0.8%).…”

Section: Uk Biobank (Chronic Pain Cohort)mentioning

confidence: 99%

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

Hébert

Pascal

Smith

et al. 2023

PR9

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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.

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

Cited by 2 publications

References 33 publications

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

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

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

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