👤 Georgia Escaramís

A stroke's functional outcome presents vast variability among patients, which is influenced by age, sex, characteristics of the lesion, and genetic factors. However, there is little knowledge about stroke recovery genetics. Recently, some GWAS (Genome-Wide Association Studies) have highlighted the involvement of common or low-frequency variants near or within We performed a pilot study analyzing 90 exomes of extreme good and bad recovery (modified Rankin Scale score at 3 months, 0-1 versus 4-5) to select target genes involved in stroke recovery. To expand this study, 702 additional samples were sequenced by targeted next-generation sequencing capturing loci selected from the pilot study, GWASs, and literature input. Here, we performed continuous (modified Rankin Scale score, 0-6) and dichotomous (modified Rankin Scale score, 0-1 versus 3-6) analyses, yielding 1 candidate gene. All samples were selected by a retrospective cohort study from incidental stroke cases collected at Spanish Hospitals between 2000 and 2018. The identified VNN2 variants were assessed for protein structure and stability analysis, and an analysis of their effect on basal inflammation levels was performed using UK Biobank data. Our work identified rare coding variants in We propose that Show less

Fibromyalgia (FM) is a highly disabling syndrome defined by a low pain threshold and a permanent state of pain. The mechanisms explaining this complex disorder remain unclear, and its genetic factors have not yet been identified. With the aim of elucidating FM genetic susceptibility factors, we selected 313 FM cases having low comorbidities, and we genotyped them on the Illumina 1 million duo array. Genotypic data from 220 control women (Illumina 610k array) was obtained for genome-wide association scan (GWAS) analysis. Copy number variants in FM susceptibility were analyzed by array comparative genomic hybridization (aCGH) experiments on pooled samples using the Agilent 2×400K platform. No single nucleotide polymorphism (SNP) reached GWAS association threshold, but 21 of the most associated SNPs were chosen for replication in 952 cases and 644 controls. Four of the SNPs selected for replication showed a nominal association in the joint analysis, and rs11127292 (MYT1L) was found to be associated to FM with low comorbidities (P=4.28×10(-5), odds ratio [95% confidence interval]=0.58 [0.44-0.75]). aCGH detected 5 differentially hybridized regions. They were followed up, and an intronic deletion in NRXN3 was demonstrated to be associated to female cases of FM with low levels of comorbidities (P=.021, odds ratio [95% confidence interval]=1.46 [1.05-2.04]). Both GWAS and aCGH results point to a role for the central nervous system in FM genetic susceptibility. If the proposed FM candidate genes were further validated in replication studies, this would highlight a neurocognitive involvement in agreement with latest reports. Show less