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Genetic basis for individual variations in pain perception and the development of a chronic pain condition

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TLDR
Three genetic variants of the gene encoding catecholamine-O-methyltransferase determine COMT activity in humans that inversely correlates with pain sensitivity and the risk of developing TMD.
Abstract
Pain sensitivity varies substantially among humans. A significant part of the human population develops chronic pain conditions that are characterized by heightened pain sensitivity. We identified three genetic variants (haplotypes) of the gene encoding catecholamine-O-methyltransferase (COMT) that we designated as low pain sensitivity (LPS), average pain sensitivity (APS) and high pain sensitivity (HPS). We show that these haplotypes encompass 96% of the human population, and five combinations of these haplotypes are strongly associated (P 5 0.0004) with variation in the sensitivity to experimental pain. The presence of even a single LPS haplotype diminishes, by as much as 2.3 times, the risk of developing myogenous temporomandibular joint disorder (TMD), a common musculoskeletal pain condition. The LPS haplotype produces much higher levels of COMT enzymatic activity when compared with the APS or HPS haplotypes. Inhibition of COMT in the rat results in a profound increase in pain sensitivity. Thus, COMT activity substantially influences pain sensitivity, and the three major haplotypes determine COMT activity in humans that inversely correlates with pain sensitivity and the risk of developing TMD.

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References
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Journal ArticleDOI

A new and sensitive method for measuring thermal nociception in cutaneous hyperalgesia.

TL;DR: Both the thermal method and the Randall‐Selitto mechanical method detected dose‐related hyperalgesia and its blockade by either morphine or indomethacin, but the Thermal method showed greater bioassay sensitivity and allowed for the measurement of other behavioral parameters in addition to the nociceptive threshold.
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Searching for genetic determinants in the new millennium

TL;DR: These issues are discussed, together with suggestions for optimal post-genome strategies, which are being presented for unravelling the complex genetic basis of non-mendelian disorders based on large-scale genome-wide studies.
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