Genetic predisposition to porto-sinusoidal vascular disorder: A functional genomic-based, multigenerational family study.

BACKGROUND AND AIMS: Porto-sinusoidal vascular disorder (PSVD) is a group of liver vascular diseases featuring lesions encompassing the portal venules and sinusoids unaccompanied by cirrhosis, irrespective of the presence/absence of portal hypertension. It can occur secondary to coagulation disorders or insult by toxic agents. However, the cause of PSVD remains unknown in most cases. Hereditary cases of PSVD are exceptionally rare, but they are of particular interest and may unveil genetic alterations and molecular mechanisms associated with the disease. APPROACH AND RESULTS: We performed genome sequencing of four patients and two healthy individuals of a large multigenerational Lebanese family with PSVD and identified a heterozygous deleterious variant (c.547C>T, p.R183W) of FCH and double SH3 domains 1 ( FCHSD1 ), an uncharacterized gene, in patients. This variant segregated with the disease, and its pattern of inheritance was suggestive of autosomal dominant with variable expressivity. RNA structural modelling of human FCHSD1 suggests that the C-to-T substitution at position 547, corresponding to FCHSD1R183W , may increase both messenger RNA (mRNA) and protein stability and its interaction with MTOR-associated protein, LST8 homolog, a key protein of the mechanistic target of rapamycin (mTOR pathway). These predictions were substantiated by biochemical analyses, which showed that FCHSD1R183W induced high FCHSD1 mRNA stability, overexpression of FCHSD1 protein, and an increase in mTORC1 activation. This human FCHSD1 variant was introduced into mice through CRISPR/Cas9 genome editing. Nine out of the 15 mice carrying the human FCHSD1R183W variant mimicked the phenotype of human PSVD, including splenomegaly and enlarged portal vein. CONCLUSIONS: Aberrant FCHSD1 structure and function leads to mTOR pathway overactivation and may cause PSVD.

Chronic total occlusion rotational atherectomy (CTO RA) versus non-CTO RA in coronary artery disease: A meta-analysis of clinical outcomes and complications.

Background: Chronic total occlusion rotational atherectomy (CTO RA) is an emerging intervention in coronary artery disease (CAD), although data comparing its outcomes and complications with non-CTO RA are scarce. We sought to evaluate the outcomes of RA in CTO lesions compared to those in non-CTO lesions by performing a meta-analysis. Methods: We conducted a systematic review and meta-analysis of studies comparing the clinical outcomes and complications between CTO RA and non-CTO RA in patients with CAD. We searched PUBMED, CINAHL, EMBASE and Cochrane Central Register of Clinical Trials for any studies that compared the outcomes of RA in CTO and non-CTO lesions. The outcomes analyzed included in-hospital major adverse cardiovascular events (MACE), target vessel revascularization (TVR), angiographic success, procedural success, periprocedural complications, coronary perforation, and all-cause mortality. Results: Four studies with a total of 1868 patients were included, spanning from 2018 to 2022, from Germany, Taiwan, and Korea. The median age of included patients was 71. The rate of the pooled results indicated a moderate, non-significant increase in in-hospital MACE and TVR for CTO RA compared to non-CTO RA. There was a small, non-significant decrease in angiographic and procedural success in CTO RA compared to non-CTO RA. CTO RA was associated with a non-significant increase in periprocedural complications and a significant increase in coronary perforation compared to non-CTO RA. All-cause mortality showed a non-significant increase in the CTO RA group. Conclusion: This meta-analysis provides evidence that while CTO RA may be associated with a higher risk of coronary perforation, the risk of other outcomes including MACE, TVR, and all-cause mortality is not significantly different compared to non-CTO RA. More research is needed to further understand these relationships and to optimize treatment strategies in patients with CAD undergoing CTO RA.

Exome-wide association study to identify rare variants influencing COVID-19 outcomes: Results from the Host Genetics Initiative.

Host genetics is a key determinant of COVID-19 outcomes. Previously, the COVID-19 Host Genetics Initiative genome-wide association study used common variants to identify multiple loci associated with COVID-19 outcomes. However, variants with the largest impact on COVID-19 outcomes are expected to be rare in the population. Hence, studying rare variants may provide additional insights into disease susceptibility and pathogenesis, thereby informing therapeutics development. Here, we combined whole-exome and whole-genome sequencing from 21 cohorts across 12 countries and performed rare variant exome-wide burden analyses for COVID-19 outcomes. In an analysis of 5,085 severe disease cases and 571,737 controls, we observed that carrying a rare deleterious variant in the SARS-CoV-2 sensor toll-like receptor TLR7 (on chromosome X) was associated with a 5.3-fold increase in severe disease (95% CI: 2.75-10.05, p = 5.41x10-7). This association was consistent across sexes. These results further support TLR7 as a genetic determinant of severe disease and suggest that larger studies on rare variants influencing COVID-19 outcomes could provide additional insights.

Qatar genome: Insights on genomics from the Middle East.

Despite recent biomedical breakthroughs and large genomic studies growing momentum, the Middle Eastern population, home to over 400 million people, is underrepresented in the human genome variation databases. Here we describe insights from Phase 1 of the Qatar Genome Program with whole genome sequenced 6047 individuals from Qatar. We identified more than 88 million variants of which 24 million are novel and 23 million are singletons. Consistent with the high consanguinity and founder effects in the region, we found that several rare deleterious variants were more common in the Qatari population while others seem to provide protection against diseases and have shaped the genetic architecture of adaptive phenotypes. These results highlight the value of our data as a resource to advance genetic studies in the Arab and neighboring Middle Eastern populations and will significantly boost the current efforts to improve our understanding of global patterns of human variations, human history, and genetic contributions to health and diseases in diverse populations.

Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease.

Biobanks facilitate genome-wide association studies (GWASs), which have mapped genomic loci across a range of human diseases and traits. However, most biobanks are primarily composed of individuals of European ancestry. We introduce the Global Biobank Meta-analysis Initiative (GBMI)-a collaborative network of 23 biobanks from 4 continents representing more than 2.2 million consented individuals with genetic data linked to electronic health records. GBMI meta-analyzes summary statistics from GWASs generated using harmonized genotypes and phenotypes from member biobanks for 14 exemplar diseases and endpoints. This strategy validates that GWASs conducted in diverse biobanks can be integrated despite heterogeneity in case definitions, recruitment strategies, and baseline characteristics. This collaborative effort improves GWAS power for diseases, benefits understudied diseases, and improves risk prediction while also enabling the nomination of disease genes and drug candidates by incorporating gene and protein expression data and providing insight into the underlying biology of human diseases and traits.

One Year of SARS-CoV-2: Genomic Characterization of COVID-19 Outbreak in Qatar.

Qatar, a country with a strong health system and a diverse population consisting mainly of expatriate residents, has experienced two large waves of COVID-19 outbreak. In this study, we report on 2634 SARS-CoV-2 whole-genome sequences from infected patients in Qatar between March-2020 and March-2021, representing 1.5% of all positive cases in this period. Despite the restrictions on international travel, the viruses sampled from the populace of Qatar mirrored nearly the entire global population's genomic diversity with nine predominant viral lineages that were sustained by local transmission chains and the emergence of mutations that are likely to have originated in Qatar. We reported an increased number of mutations and deletions in B.1.1.7 and B.1.351 lineages in a short period. These findings raise the imperative need to continue the ongoing genomic surveillance that has been an integral part of the national response to monitor the SARS-CoV-2 profile and re-emergence in Qatar.

Poking COVID-19: Insights on Genomic Constraints among Immune-Related Genes between Qatari and Italian Populations.

Host genomic information, specifically genomic variations, may characterize susceptibility to disease and identify people with a higher risk of harm, leading to better targeting of care and vaccination. Italy was the epicentre for the spread of COVID-19 in Europe, the first country to go into a national lockdown and has one of the highest COVID-19 associated mortality rates. Qatar, on the other hand has a very low mortality rate. In this study, we compared whole-genome sequencing data of 14398 adults and Qatari-national to 925 Italian individuals. We also included in the comparison whole-exome sequence data from 189 Italian laboratory-confirmed COVID-19 cases. We focused our study on a curated list of 3619 candidate genes involved in innate immunity and host-pathogen interaction. Two population-gene metric scores, the Delta Singleton-Cohort variant score (DSC) and Sum Singleton-Cohort variant score (SSC), were applied to estimate the presence of selective constraints in the Qatari population and in the Italian cohorts. Results based on DSC and SSC metrics demonstrated a different selective pressure on three genes (MUC5AC, ABCA7, FLNA) between Qatari and Italian populations. This study highlighted the genetic differences between Qatari and Italian populations and identified a subset of genes involved in innate immunity and host-pathogen interaction.

Rare loss-of-function variants in type I IFN immunity genes are not associated with severe COVID-19.

A recent report found that rare predicted loss-of-function (pLOF) variants across 13 candidate genes in TLR3- and IRF7-dependent type I IFN pathways explain up to 3.5% of severe COVID-19 cases. We performed whole-exome or whole-genome sequencing of 1,864 COVID-19 cases (713 with severe and 1,151 with mild disease) and 15,033 ancestry-matched population controls across 4 independent COVID-19 biobanks. We tested whether rare pLOF variants in these 13 genes were associated with severe COVID-19. We identified only 1 rare pLOF mutation across these genes among 713 cases with severe COVID-19 and observed no enrichment of pLOFs in severe cases compared to population controls or mild COVID-19 cases. We found no evidence of association of rare LOF variants in the 13 candidate genes with severe COVID-19 outcomes.

Failure to replicate the association of rare loss-of-function variants in type I IFN immunity genes with severe COVID-19.

A recent report found that rare predicted loss-of-function (pLOF) variants across 13 candidate genes in TLR3- and IRF7-dependent type I IFN pathways explain up to 3.5% of severe COVID-19 cases. We performed whole-exome or whole-genome sequencing of 1,934 COVID-19 cases (713 with severe and 1,221 with mild disease) and 15,251 ancestry-matched population controls across four independent COVID-19 biobanks. We then tested if rare pLOF variants in these 13 genes were associated with severe COVID-19. We identified only one rare pLOF mutation across these genes amongst 713 cases with severe COVID-19 and observed no enrichment of pLOFs in severe cases compared to population controls or mild COVID-19 cases. We find no evidence of association of rare loss-of-function variants in the proposed 13 candidate genes with severe COVID-19 outcomes.

Improving Bioinformatics Prediction of microRNA Targets by Ranks Aggregation.

microRNAs are noncoding RNAs which downregulate a large number of target mRNAs and modulate cell activity. Despite continued progress, bioinformatics prediction of microRNA targets remains a challenge since available software still suffer from a lack of accuracy and sensitivity. Moreover, these tools show fairly inconsistent results from one another. Thus, in an attempt to circumvent these difficulties, we aggregated all human results of four important prediction algorithms (miRanda, PITA, SVmicrO, and TargetScan) showing additional characteristics in order to rerank them into a single list. Instead of deciding which prediction tool to use, our method clearly helps biologists getting the best microRNA target predictions from all aggregated databases. The resulting database is freely available through a webtool called miRabel which can take either a list of miRNAs, genes, or signaling pathways as search inputs. Receiver operating characteristic curves and precision-recall curves analysis carried out using experimentally validated data and very large data sets show that miRabel significantly improves the prediction of miRNA targets compared to the four algorithms used separately. Moreover, using the same analytical methods, miRabel shows significantly better predictions than other popular algorithms such as MBSTAR, miRWalk, ExprTarget and miRMap. Interestingly, an F-score analysis revealed that miRabel also significantly improves the relevance of the top results. The aggregation of results from different databases is therefore a powerful and generalizable approach to many other species to improve miRNA target predictions. Thus, miRabel is an efficient tool to guide biologists in their search for miRNA targets and integrate them into a biological context.

DiNAMO: highly sensitive DNA motif discovery in high-throughput sequencing data.

BACKGROUND: Discovering over-represented approximate motifs in DNA sequences is an essential part of bioinformatics. This topic has been studied extensively because of the increasing number of potential applications. However, it remains a difficult challenge, especially with the huge quantity of data generated by high throughput sequencing technologies. To overcome this problem, existing tools use greedy algorithms and probabilistic approaches to find motifs in reasonable time. Nevertheless these approaches lack sensitivity and have difficulties coping with rare and subtle motifs. RESULTS: We developed DiNAMO (for DNA MOtif), a new software based on an exhaustive and efficient algorithm for IUPAC motif discovery. We evaluated DiNAMO on synthetic and real datasets with two different applications, namely ChIP-seq peaks and Systematic Sequencing Error analysis. DiNAMO proves to compare favorably with other existing methods and is robust to noise. CONCLUSIONS: We shown that DiNAMO software can serve as a tool to search for degenerate motifs in an exact manner using IUPAC models. DiNAMO can be used in scanning mode with sliding windows or in fixed position mode, which makes it suitable for numerous potential applications. AVAILABILITY: https://github.com/bonsai-team/DiNAMO .

Awareness and Knowledge Among Internal Medicine Resident Trainees for Dose Adjustment of Analgesics and Neuropsychotropic Medications in CKD.

OBJECTIVES: Errors in drug dosing lead to poor patient outcomes and are common in patients with chronic kidney disease (CKD). Because the majority of patients with CKD are being treated by physicians specializing in internal medicine, we studied the awareness and knowledge that internal medicine resident trainees (IMRTs) have regarding the correct dosage of commonly used analgesic and neuropsychotropic medications for patients with CKD. METHODS: We surveyed 353 IMRTs about their awareness of whether a medication needs dose adjustment in patients with CKD and knowledge for medication adjustment by level of glomerular filtration rate. RESULTS: There were high percentages for lack of awareness and knowledge. For analgesics, this lack of awareness/knowledge was highest for acetaminophen (awareness 83.0%, knowledge 90.9%). For neuropsychotropics, this was highest for paroxetine (awareness 74.5%, knowledge 91.5%). Analyses for postgraduate year (PGY) -1 trainees and PGY-2 trainees for analgesics showed higher odds for lack of awareness for tramadol (PGY-1 odds ratio [OR] 2.37, 95% confidence interval [CI] 1.2-4.62, P < 0.05; PGY-2 OR 2.34, 95% CI 1.16-4.72, P < 0.05) and for lack of knowledge for meperedine (PGY-1 OR 4.01, 95% CI 1.81-8.89, P < 0.05; PGY-2 OR 3.30, 95% CI 1.44-7.59, P < 0.05). Nephrology residency rotation for the neuropsychotropic medication of gabapentin showed lower odds for both lack of awareness (OR 0.56, 95% CI 0.32-0.97, P < 0.05) and knowledge (OR 0.52, 95% CI 0.27-0.997, P < 0.05). CONCLUSIONS: Awareness and knowledge are poor among IMRTs for dose adjustments of analgesics and neuropsychotropic medication classes in patients with CKD. There should be a renewed focus during IMRTs' residency on additional nephrology exposure and formal didactic educational training to help them better manage complex treatment regimens to prevent medication dosing errors.

Impact of Autologous Stem Cell Transplantation on Blood Pressure and Renal Function in Multiple Myeloma Patients.

BACKGROUND: Autologous stem cell transplantation (ASCT) reverses kidney failure in one-third of multiple myeloma (MM) patients, which may lead to blood pressure (BP) improvement. We evaluate the long term impact of ASCT on BP and renal function in MM patients. METHODS: We studied 192 MM patients that underwent ASCT. We compared BP readings and glomerular filtration rate (GFR) at 4 weeks before ASCT, on day of ASCT and post-ASCT at 30, 100 and 180 days. RESULTS: Mean systolic blood pressure (SBP) and diastolic blood pressure (DBP) on day of ASCT and at both 30 and 100 days post-ASCT was significantly lower as compared to pre-ASCT SBP and DBP. There was a significantly higher mean GFR at day of ASCT and 30 days post-ASCT and significantly lower mean GFR at 180 days post-ASCT as compared to pre-ASCT. White patients had similar patterns to the total group for SBP, DBP, and GFR except for SBP which was still significantly lower and GFR which was not significantly different at 180 days. African-American patients showed no significant reductions in the mean values of SBP and DBP and no significant increases for GFR in follow-up after day of ASCT. Furthermore, the mean value of GFR was significantly lower at 180 days post-ASCT. CONCLUSIONS: ASCT in MM patients had a positive impact on SBP and DBP and GFR but the impact was minimal for African-American patients. We recommend that clinicians consider closer follow-up of BP and kidney function and more intense therapy in African-Americans with MM.