Computational genetic discoveries that could improve perioperative medicine.
OBJECTIVE
The review examines the rationale and translational utility of computational genetic studies using murine models of biomedical traits.


RESULTS
Computational genetic mapping studies have identified the genetic basis for biomedical trait differences in 16 different murine models, including several that are of importance to perioperative medicine.


CONCLUSIONS
The results have generated new treatments for alleviating incisional pain and narcotic drug withdrawal symptoms, which are now in clinical trials. A recent study identified allelic differences affecting chronic pain responses in mice and humans, which may enable a new 'personalized' approach to treating chronic pain.
Department of Anesthesia, Stanford University, School of Medicine, Stanford, California, USA.
Ming
M
Zheng
David
D
Dill
J David
JD
Clark
Gary
G
Peltz
D000818:Animals; D002874:Chromosome Mapping; D055106:Genome-Wide Association Study; D006801:Humans; D051379:Mice; D009293:Opioid-Related Disorders / Q000188:drug therapy; D019990:Perioperative Care; D020641:Polymorphism, Single Nucleotide; D057285:Precision Medicine; D017472:Receptors, Interleukin-1 / Q000037:antagonists & inhibitors; D058486:Receptors, Purinergic P2X7 / Q000235:genetics; D013375:Substance Withdrawal Syndrome / Q000188:drug therapy
C546469:P2rx7 protein, mouse; D017472:Receptors, Interleukin-1; D058486:Receptors, Purinergic P2X7