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Genetic and other risk factors predicting chronic pain in women post mastectomy

Detailed Technology Description: None

*Abstract: This is a genome-wide screen for the association of SNP markers with inter-individual variability in pain following mastectomy will provide with a set of human polymorphic genes/markers that contribute to the trait independently and/or through interaction. Psychosocial and psychophysical profiling will identify a unique signature that may predict pain chronicity, intensity and/or quality in post mastectomy women.This data will help to personalize pain management in the future by tailoring peri-operative care according to individual genetic background and predictive non-genetic factors.Available as a research tool

*Principal Investigator: Name: Inna Belfer
Department: GSPH-Human Genetics

Name: Feng Dai
Department: Med-Anesthesiology

Country/Region: USA

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