Machine Learning-Based Approach Highlights the Use of a Genomic Variant Profile for Precision Medicine in Ovarian Failure
Ovarian failure (OF) is a common cause of infertility usually diagnosed as idiopathic, with genetic causes accounting for 10–25% of cases. Whole-exome sequencing (WES) may enable identifying contributing genes and variant profiles to stratify the population into subtypes of OF. This study sought to identify a blood-based gene variant profile using accumulation of rare variants to promote precision medicine in fertility preservation programs. A case–control (n = 118, n = 32, respectively) WES study was performed in which only non-synonymous rare variants <
SARS-CoV-2 infection risk assessment in the endometrium: viral infection-related gene expression across the menstrual cycle
Objective To determine the susceptibility of the endometrium to infection by—and thereby potential damage from—SARS-CoV-2. Design Analysis of SARS-Cov-2 infection-related gene expression from endometrial transcriptomic data sets. Setting Infertility research department affiliated with a public hospital. Patient(s) Gene expression data from five studies in 112 patients with normal endometrium collected throughout the menstrual cycle. Intervention(s) None. Main Outcome Measure(s) Gene expression and correlation between viral infectivity genes and age throughout the menstrual cycle. Result(s) Gene expression was high for TMPRSS4, CTSL, CTSB, FURIN, MX1, and BSG; medium for TMPRSS2; and low for…