Variants associating with uterine leiomyoma highlight genetic background shared by various cancers and hormone-related traits

Uterine leiomyomas are common benign tumors of the myometrium. We performed a meta-analysis of two genome-wide association studies of leiomyoma in European women (16,595 cases and 523,330 controls), uncovering 21 variants at 16 loci that associate with the disease. Five variants were previously reported to confer risk of various malignant or benign tumors (rs78378222 in TP53, rs10069690 in TERT, rs1800057 and rs1801516 in ATM, and rs7907606 at OBFC1) and four signals are located at established risk loci for hormone-related traits (endometriosis and breast cancer) at 1q36.12 (CDC42/WNT4), 2p25.1 (GREB1), 20p12.3 (MCM8), and 6q26.2 (SYNE1/ESR1). Polygenic score for leiomyoma, computed using UKB data, is significantly correlated with risk of cancer in the Icelandic population. Functional annotation suggests that the non-coding risk variants affect multiple genes, including ESR1. Our results provide insights into the genetic background of leiomyoma that are shared by other benign and malignant tumors and highlight the role of hormones in leiomyoma growth

Meeting them where they are: Using the Internet to deliver behavioral medicine interventions for pain

Pharmacological and interventional pain medicine treatments are emphasized in the routine treatment of chronic pain despite strong evidence for the efficacy and safety of behavioral approaches. Most medical professionals have not incorporated behavioral pain treatments into their practices. Internet-based interventions have the potential to increase clinical use of these treatments. We discuss the strengths and weaknesses of current Internet-based behavioral pain management interventions, focusing on three broad intervention categories: therapist-guided interventions, unguided (automated) interventions, and pain-relevant applications for mobile platforms. Examples of each category are discussed, revealing a high degree of variation in approaches, user interfaces, and components as well as variability in the degree to which these interventions have been subjected to empirical testing. Finally, we highlight key issues for research and clinical implementation, with the goal of advancing this field so that it can meet its potential to increase access to evidence-based behavioral medicine treatments for chronic pain