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Pain Manag. 2018 Jul 1;8(4):259-261. doi: 10.2217/pmt-2018-0028. Epub 2018 Jun 5.

The human pain genetics database: an interview with Luda Diatchenko.

Author information

1
Alan Edwards Centre for Research on Pain; Department of Anesthesia, Faculty of Medicine; Faculty of Dentistry; McGill University; Genome Building, Room 2201740, Dr Penfield AvenueMontreal, Quebec, Canada H3A0G1.

Abstract

Luda Diatchenko, MD, PhD is a Canada Excellence Research Chair in Human Pain Genetics, Professor, Faculty of Medicine, Department of Anesthesia and Faculty of Dentistry at McGill University, Alan Edwards Centre for Research on Pain. She earned her MD and PhD in the field of molecular biology from the Russian State Medical University. She started her career in industry, she was a Leader of the RNA Expression Group at Clontech, Inc., and subsequently, Director of Gene Discovery at Attagene, Inc. During this time, she was actively involved in the development of several widely used and widely cited molecular tools for the analysis of gene expression and regulation. Her academic career started at 2000 in the Center for Neurosensory Disorders at University of North Carolina. Her research since then is focused on determining the cellular and molecular biological mechanisms by which functional genetic variations impact human pain perception and risk of development of chronic pain conditions, enabling new approaches to identify new drug targets, treatment responses to analgesics and diagnostic. Multiple collaborative activities allow the Diatchenko group to take basic genetic findings all the way from human association studies, through molecular and cellular mechanisms to animal models and ultimately to human clinical trials. In total, she has authored or co-authored over 120 peer-reviewed research papers in journals, ten book chapters and edited a book in human pain genetics. She is a member and an active officer of several national and international scientific societies, including the International Association for the Study of Pain and the American Pain Society.

KEYWORDS:

SNPs; chronic pain; human pain genetics; personalized medicine; response to analgesics; transcriptomics

PMID:
29869557
DOI:
10.2217/pmt-2018-0028
[Indexed for MEDLINE]

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