👤 Yadav Sapkota

The purpose of this study was to estimate the prevalence and number of cerebral microbleeds (CMBs) in a Hispanic and Latino cohort from various self-identified backgrounds and test associations with age, vascular risk factors, APOE (apolipoprotein E), and cognitive function. The 3T brain magnetic resonance imaging exams were obtained on SOL-INCA-MRI (Study of Latinos-Investigation of Neurocognitive Aging-MRI) magnetic resonance imaging study participants, a community-based study. CMB number was counted and categorized as: (1) any CMB, (2) lobar only, (3) deep only, (4) mixed, (5) deep+mixed, and (6) lobar+mixed. We examined whether prevalence of CMBs varied by age, sex, education, Hispanic background, cardiovascular risk factors (hypertension, diabetes, Framingham Risk Score), APOE genotype, and cognition. A total of 2455 participants were included who were 63.0±8.4 years of age, 67.9% women, and 62.2% high school education or higher. CMBs prevalence was 11.7% (8.3% lobar only, 2.0% deep only, 1.4% mixed locations). After adjusting for age, sex, and education, a high Framingham Risk Score was associated with the presence of CMBs of all types, except lobar only. Prevalent stroke/transient ischemic attack was associated with higher likelihood of deep-only CMBs. For participants with cognitive impairment, the adjusted prevalence of mixed CMBs (2.2% versus 1.1%, High vascular risk scores, self-reported history of stroke/transient ischemic attack, and cognitive status were associated with a higher likelihood of CMBs, especially in deep regions. Show less

Endometriosis is a common condition associated with debilitating pelvic pain and infertility. A genome-wide association study meta-analysis, including 60,674 cases and 701,926 controls of European and East Asian descent, identified 42 genome-wide significant loci comprising 49 distinct association signals. Effect sizes were largest for stage 3/4 disease, driven by ovarian endometriosis. Identified signals explained up to 5.01% of disease variance and regulated expression or methylation of genes in endometrium and blood, many of which were associated with pain perception/maintenance (SRP14/BMF, GDAP1, MLLT10, BSN and NGF). We observed significant genetic correlations between endometriosis and 11 pain conditions, including migraine, back and multisite chronic pain (MCP), as well as inflammatory conditions, including asthma and osteoarthritis. Multitrait genetic analyses identified substantial sharing of variants associated with endometriosis and MCP/migraine. Targeted investigations of genetically regulated mechanisms shared between endometriosis and other pain conditions are needed to aid the development of new treatments and facilitate early symptomatic intervention. Show less

Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734 individuals to discover rare and low-frequency (minor allele frequency (MAF) < 5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which 8 variants were in genes (ZBTB7B, ACHE, RAPGEF3, RAB21, ZFHX3, ENTPD6, ZFR2 and ZNF169) newly implicated in human obesity, 2 variants were in genes (MC4R and KSR2) previously observed to be mutated in extreme obesity and 2 variants were in GIPR. The effect sizes of rare variants are ~10 times larger than those of common variants, with the largest effect observed in carriers of an MC4R mutation introducing a stop codon (p.Tyr35Ter, MAF = 0.01%), who weighed ~7 kg more than non-carriers. Pathway analyses based on the variants associated with BMI confirm enrichment of neuronal genes and provide new evidence for adipocyte and energy expenditure biology, widening the potential of genetically supported therapeutic targets in obesity. Show less

The BMP and Wnt signalling pathways determine axis specification during embryonic development. Our previous work has shown that PAWS1 (also known as FAM83G) interacts with SMAD1 and modulates BMP signalling. Here, surprisingly, we show that overexpression of PAWS1 in Show less