A Rare Variant in MCF2L Identified Using Exclusion Linkage in a Pedigree with Premature Atherosclerosis
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
In-Depth Analysis of Genetic Variation Associated with Severe West Nile Viral Disease
Article In-Depth Analysis of Genetic Variation Associated with Severe West Nile Viral Disease Megan E. Cahill 1, Mark Loeb 2, Andrew T. Dewan 1 and Ruth R. Montgomery 3,* 1 Center for Perinatal, Pediatric and Environmental Epidemiology, Department of Chronic Disease Epidemiology, Yale School of Public Health, 1 Church Street, New Haven, CT 06510, USA; [email protected] (M.E.C.); [email protected] (A.T.D.) 2 3208 Michael DeGroote Centre for Learning & Discovery, Division of Clinical Pathology, McMaster University, Hamilton, ON L8S 4L8, Canada; [email protected] 3 Department of Internal Medicine, Yale School of Medicine, 300 Cedar Street, New Haven, CT 06520, USA * Correspondence: [email protected] Received: 30 October 2020; Accepted: 3 December 2020; Published: 8 December 2020 Abstract: West Nile virus (WNV) is a mosquito-borne virus which causes symptomatic disease in a minority of infected humans. To identify novel genetic variants associated with severe disease, we utilized data from an existing case-control study of WNV and included population controls for an expanded analysis. We conducted imputation and gene-gene interaction analysis in the largest and most comprehensive genetic study conducted to date for West Nile neuroinvasive disease (WNND). Within the imputed West Nile virus dataset (severe cases n = 381 and asymptomatic/mild controls = 441), we found novel loci within the MCF.2 Cell Line Derived Transforming Sequence Like (MCF2L) gene (rs9549655 and rs2297192) through the individual loci analyses, although none reached statistical significance. Incorporating population controls from the Wisconsin Longitudinal Study on Aging (n = 9012) did not identify additional novel variants, a possible reflection of the cohort’s inclusion of individuals who could develop mild or severe WNV disease upon infection. -
A Rare Variant in MCF2L Identified Using Exclusion Linkage in A
European Journal of Human Genetics (2016) 24, 86–91 & 2016 Macmillan Publishers Limited All rights reserved 1018-4813/16 www.nature.com/ejhg ARTICLE A rare variant in MCF2L identified using exclusion linkage in a pedigree with premature atherosclerosis Stephanie Maiwald1,7, Mahdi M Motazacker1,7,8, Julian C van Capelleveen1, Suthesh Sivapalaratnam1, Allard C van der Wal2, Chris van der Loos2, John JP Kastelein1, Willem H Ouwehand3,4, G Kees Hovingh1, Mieke D Trip1,5, Jaap D van Buul6 and Geesje M Dallinga-Thie*,1 Cardiovascular disease (CVD) is a major cause of death in Western societies. CVD risk is largely genetically determined. The molecular pathology is, however, not elucidated in a large number of families suffering from CVD. We applied exclusion linkage analysis and next-generation sequencing to elucidate the molecular defect underlying premature CVD in a small pedigree, comprising two generations of which six members suffered from premature CVD. A total of three variants showed co-segregation with the disease status in the family. Two of these variants were excluded from further analysis based on the prevalence in replication cohorts, whereas a non-synonymous variant in MCF.2 Cell Line Derived Transforming Sequence-like protein (MCF2L, c.2066A4G; p.(Asp689Gly); NM_001112732.1), located in the DH domain, was only present in the studied family. MCF2L is a guanine exchange factor that potentially links pathways that signal through Rac1 and RhoA. Indeed, in HeLa cells, MCF2L689Gly failed to activate Rac1 as well as RhoA, resulting in impaired stress fiber formation. Moreover, MCF2L protein was found in human atherosclerotic lesions but not in healthy tissue segments. -
Association of Genetic Variants with Atrial Fibrillation
178 BIOMEDICAL REPORTS 4: 178-182, 2016 Association of genetic variants with atrial fibrillation YUICHIRO YAMASE1, KIMIHIKO KATO2, HIDEKI HORIBE1, CHIKARA UEYAMA1, TETSUO FUJIMAKI3, MITSUTOSHI OGURI4, MASAZUMI ARAI5, SACHIRO WATANABE5, TOYOAKI MUROHARA6 and YOSHIJI YAMADA7 1Department of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, Tajimi, Gifu 507‑8522; 2Department of Internal Medicine, Meitoh Hospital, Nagoya, Aichi 465‑0025; 3Department of Cardiovascular Medicine, Inabe General Hospital, Inabe, Mie 511‑0428; 4Department of Cardiology, Kasugai Municipal Hospital, Kasugai, Aichi 486‑8510; 5Department of Cardiology, Gifu Prefectural General Medical Center, Gifu, Gifu 500‑8717; 6Department of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466‑8550; 7Department of Human Functional Genomics, Life Science Research Center, Mie University, Tsu, Mie 514‑8507, Japan Received October 1, 2015; Accepted November 27, 2015 DOI: 10.3892/br.2015.551 Abstract. Recent genome-wide association studies (GWASs) with atrial fibrillation, with the minor G and T alleles, respec- identified various genes and loci that confer susceptibility tively, representing risk factors for this condition. PSRC1 and to coronary artery disease or myocardial infarction among ZC3HC1 may thus be susceptibility loci for atrial fibrillation in Caucasian populations. As myocardial ischemia is an impor- Japanese individuals. tant risk factor for atrial fibrillation, we hypothesized that certain polymorphisms may contribute to the genetic suscep- -
DNA Methylation Analysis on Purified Neurons and Glia Dissects Age And
Gasparoni et al. Epigenetics & Chromatin (2018) 11:41 https://doi.org/10.1186/s13072-018-0211-3 Epigenetics & Chromatin RESEARCH Open Access DNA methylation analysis on purifed neurons and glia dissects age and Alzheimer’s disease‑specifc changes in the human cortex Gilles Gasparoni1 , Sebastian Bultmann2, Pavlo Lutsik3, Theo F. J. Kraus4, Sabrina Sordon5, Julia Vlcek4, Vanessa Dietinger4, Martina Steinmaurer4, Melanie Haider4, Christopher B. Mulholland2, Thomas Arzberger4, Sigrun Roeber4, Matthias Riemenschneider5, Hans A. Kretzschmar4, Armin Giese4, Heinrich Leonhardt2 and Jörn Walter1* Abstract Background: Epigenome-wide association studies (EWAS) based on human brain samples allow a deep and direct understanding of epigenetic dysregulation in Alzheimer’s disease (AD). However, strong variation of cell-type propor- tions across brain tissue samples represents a signifcant source of data noise. Here, we report the frst EWAS based on sorted neuronal and non-neuronal (mostly glia) nuclei from postmortem human brain tissues. Results: We show that cell sorting strongly enhances the robust detection of disease-related DNA methylation changes even in a relatively small cohort. We identify numerous genes with cell-type-specifc methylation signatures and document diferential methylation dynamics associated with aging specifcally in neurons such as CLU, SYNJ2 and NCOR2 or in glia RAI1,CXXC5 and INPP5A. Further, we found neuron or glia-specifc associations with AD Braak stage progression at genes such as MCF2L, ANK1, MAP2, LRRC8B, STK32C and S100B. A comparison of our study with previous tissue-based EWAS validates multiple AD-associated DNA methylation signals and additionally specifes their origin to neuron, e.g., HOXA3 or glia (ANK1). In a meta-analysis, we reveal two novel previously unrecognized methylation changes at the key AD risk genes APP and ADAM17. -
Advances in Osteoarthritis Genetics Kalliope Panoutsopoulou, Eleftheria Zeggini
Review J Med Genet: first published as 10.1136/jmedgenet-2013-101754 on 18 July 2013. Downloaded from Advances in osteoarthritis genetics Kalliope Panoutsopoulou, Eleftheria Zeggini Department of Human ABSTRACT the rise. In the USA alone 27 million adults had Genetics, Wellcome Trust Osteoarthritis (OA), the most common form of arthritis, clinical evidence of OA in 2005, a rise of nearly Sanger Institute, 67 Cambridgeshire, UK is a highly debilitating disease of the joints and can lead 30% from the estimate of 21 million in 1995. to severe pain and disability. There is no cure for OA. With longer life expectancies and the obesity pan- Correspondence to Current treatments often fail to alleviate its symptoms demic—with age and obesity/overweight being well Dr Eleftheria Zeggini and leading to an increased demand for joint replacement established risk factors for disease development and Dr Kalliope Panoutsopoulou, surgery. Previous epidemiological and genetic research progression—the prevalence of OA is expected to Wellcome Trust Sanger Institute, Hinxton, The Morgan has established that OA is a multifactorial disease with increase continuously and sharply. Building, Wellcome Trust both environmental and genetic components. Over the Although the aetiology of OA is not fully under- Genome Campus, Hinxton, past 6 years, a candidate gene study and several stood it has been well established that the disease is Cambridgeshire, genome-wide association scans (GWAS) in populations caused by complex interplay between environmen- CB10 1HH, UK; [email protected] and of Asian and European descent have collectively tal and genetic factors. Age is the strongest risk [email protected] established 15 loci associated with knee or hip OA that factor for all types of OA whereas obesity appears have been replicated with genome-wide significance, to confer the greatest risk in knee OA, particularly Received 16 April 2013 shedding some light on the aetiogenesis of the disease. -
Robles JTO Supplemental Digital Content 1
Supplementary Materials An Integrated Prognostic Classifier for Stage I Lung Adenocarcinoma based on mRNA, microRNA and DNA Methylation Biomarkers Ana I. Robles1, Eri Arai2, Ewy A. Mathé1, Hirokazu Okayama1, Aaron Schetter1, Derek Brown1, David Petersen3, Elise D. Bowman1, Rintaro Noro1, Judith A. Welsh1, Daniel C. Edelman3, Holly S. Stevenson3, Yonghong Wang3, Naoto Tsuchiya4, Takashi Kohno4, Vidar Skaug5, Steen Mollerup5, Aage Haugen5, Paul S. Meltzer3, Jun Yokota6, Yae Kanai2 and Curtis C. Harris1 Affiliations: 1Laboratory of Human Carcinogenesis, NCI-CCR, National Institutes of Health, Bethesda, MD 20892, USA. 2Division of Molecular Pathology, National Cancer Center Research Institute, Tokyo 104-0045, Japan. 3Genetics Branch, NCI-CCR, National Institutes of Health, Bethesda, MD 20892, USA. 4Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan. 5Department of Chemical and Biological Working Environment, National Institute of Occupational Health, NO-0033 Oslo, Norway. 6Genomics and Epigenomics of Cancer Prediction Program, Institute of Predictive and Personalized Medicine of Cancer (IMPPC), 08916 Badalona (Barcelona), Spain. List of Supplementary Materials Supplementary Materials and Methods Fig. S1. Hierarchical clustering of based on CpG sites differentially-methylated in Stage I ADC compared to non-tumor adjacent tissues. Fig. S2. Confirmatory pyrosequencing analysis of DNA methylation at the HOXA9 locus in Stage I ADC from a subset of the NCI microarray cohort. 1 Fig. S3. Methylation Beta-values for HOXA9 probe cg26521404 in Stage I ADC samples from Japan. Fig. S4. Kaplan-Meier analysis of HOXA9 promoter methylation in a published cohort of Stage I lung ADC (J Clin Oncol 2013;31(32):4140-7). Fig. S5. Kaplan-Meier analysis of a combined prognostic biomarker in Stage I lung ADC. -
Analyses of Alternative Splicing Landscapes in Clear Cell Renal Cell Carcinomas Reveal Putative Novel Prognosis Factors
Analyses of alternative splicing landscapes in clear cell renal cell carcinomas reveal putative novel prognosis factors Pedro Nuno Brazão Faria Under supervision of Prof. Susana Vinga Martins and Dr. Nuno Luís Barbosa Morais Dep. Bioengineering, IST, Lisbon, Portugal October, 2014 Abstract In this work, we have analysed gene expression (GE), alternative splicing (AS) and associated patient survival using RNA-seq data from 138 clear cell renal cell carcinomas (ccRCC) and 62 matched normal kidney samples from The Cancer Genome Atlas (TCGA) project, aiming to identify cancer-specific AS patterns as well as AS events that can potentially serve as prognostic factors. In addition, we have applied dimension reduction and regression methods in order to develop a cancer stage classifier based on AS patterns. It was observed that, like GE, AS patterns primarily separate normal from tumour samples, with some exons exhibiting a normal/tumour switch pattern in their inclusion levels. This is the case, for example, for genes CD44 and FGFR2, previously reported to undergo AS alterations in cancer. Interestingly, a considerable number of the identified cancer-specific AS patterns seem to facilitate an epithelial mesenchymal transition. Several AS events appear to be associated with survival, being therefore identified as potential prognostic factors. Finally, the developed classifier revealed ineffective in the classification of the different cancer stages. These results suggest a great potential of AS signatures derived from tumour transcriptomes in providing etiological leads for cancer progression and as a clinical tool. A deeper understanding of the contribution of splicing alterations to oncogenesis could lead to improved cancer prognosis and contribute to the development of RNA-based anticancer therapeutics, namely splicing-modulating small molecule compounds. -
A Grainyhead-Like 2/Ovo-Like 2 Pathway Regulates Renal Epithelial Barrier Function and Lumen Expansion
BASIC RESEARCH www.jasn.org A Grainyhead-Like 2/Ovo-Like 2 Pathway Regulates Renal Epithelial Barrier Function and Lumen Expansion † ‡ | Annekatrin Aue,* Christian Hinze,* Katharina Walentin,* Janett Ruffert,* Yesim Yurtdas,*§ | Max Werth,* Wei Chen,* Anja Rabien,§ Ergin Kilic,¶ Jörg-Dieter Schulzke,** †‡ Michael Schumann,** and Kai M. Schmidt-Ott* *Max Delbrueck Center for Molecular Medicine, Berlin, Germany; †Experimental and Clinical Research Center, and Departments of ‡Nephrology, §Urology, ¶Pathology, and **Gastroenterology, Charité Medical University, Berlin, Germany; and |Berlin Institute of Urologic Research, Berlin, Germany ABSTRACT Grainyhead transcription factors control epithelial barriers, tissue morphogenesis, and differentiation, but their role in the kidney is poorly understood. Here, we report that nephric duct, ureteric bud, and collecting duct epithelia express high levels of grainyhead-like homolog 2 (Grhl2) and that nephric duct lumen expansion is defective in Grhl2-deficient mice. In collecting duct epithelial cells, Grhl2 inactivation impaired epithelial barrier formation and inhibited lumen expansion. Molecular analyses showed that GRHL2 acts as a transcrip- tional activator and strongly associates with histone H3 lysine 4 trimethylation. Integrating genome-wide GRHL2 binding as well as H3 lysine 4 trimethylation chromatin immunoprecipitation sequencing and gene expression data allowed us to derive a high-confidence GRHL2 target set. GRHL2 transactivated a group of genes including Ovol2, encoding the ovo-like 2 zinc finger transcription factor, as well as E-cadherin, claudin 4 (Cldn4), and the small GTPase Rab25. Ovol2 induction alone was sufficient to bypass the requirement of Grhl2 for E-cadherin, Cldn4,andRab25 expression. Re-expression of either Ovol2 or a combination of Cldn4 and Rab25 was sufficient to rescue lumen expansion and barrier formation in Grhl2-deficient collecting duct cells. -
Reboot: a Straightforward Approach to Identify Genes and Splicing Isoforms Associated with Cancer Patient Prognosis Felipe R
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.18.255752; this version posted August 18, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Reboot: a straightforward approach to identify genes and splicing isoforms associated with cancer patient prognosis Felipe R. C. dos Santos 1,2,*, Gabriela D. A. Guardia1, *, Filipe F. dos Santos1,3, * and Pedro A. F. Galante 1,# 1 - Centro de Oncologia Molecular, Hospital Sirio-Libanes, Sao Paulo, SP. 2 - Programa Interunidades em Bioinformatica, Universidade de São Paulo, Sao Paulo, SP. 3 - Departamento de Bioquimica, Universidade de Sao Paulo, SP, Brazil. * These authors contributed equally to this work # Corresponding author: [email protected] Abstract Nowadays, the massive amount of data generated by modern sequencing technologies provides an unprecedented opportunity to find genes associated with cancer patient prognosis, connecting basic and translational research. However, treating high dimensionality of gene expression data and integrating it with clinical variables are major challenges to carry out these analyses. Here, we present Reboot, an original and efficient algorithm to find genes and splicing isoforms associated with cancer patient survival, disease progression, or other clinical endpoints. Reboot innovates by using a multivariate strategy with penalized Cox regression (LASSO method) combined with a bootstrap approach, in addition to statistical tests for supporting the findings, which are automatically plotted. Applying Reboot on data from 154 glioblastoma patients, we identified a three-gene signature (IKBIP, OSMR, PODNL1) whose increased derived risk score was significantly associated with worse patients’ prognosis, even in conjunction with other well-established clinical parameters. -
ZC3HC1(Phospho-S354) Polyclonal Antibody
PRODUCT DATA SHEET Bioworld Technology,Inc. ZC3HC1(Phospho-S354) polyclonal antibody Catalog: BS64402 Host: Rabbit Reactivity: Human,Mouse BackGround: WB: 1:500~1:1000 NIPA (nuclear interaction partner of ALK) is an Storage&Stability: F-box-containing protein that is an essential component Store at 4°C short term. Aliquot and store at -20°C long of the SCF-type E3 ligase (SCFNIPA) complex, a com- term. Avoid freeze-thaw cycles. plex that controls the completion of S-phase and mitotic Specificity: entry . This control is mediated by the ubiquitination and ZC3HC1(Phospho-S354) polyclonal antibody detects subsequent degradation of cell cycle regulatory proteins, endogenous levels of ZC3HC1 protein only when phos- whose oscillation of protein levels is required for proper phorylated at Ser354. cell cycle progression. Expression levels of NIPA are low DATA: in G0/G1 phases and upregulated in S and G2/M phases. The SCFNIPA complex targets nuclear cyclin B1 for ubiquitination in interphase, whereas phosphorylation of NIPA in late G2 phase and mitosis inactivates the com- plex to allow for accumulation of cyclin B1. NIPA may have an anti-apoptotic role in NPM-ALK-mediated sig- naling events. Product: Western blot (WB) analysis of ZC3HC1(Phospho-S354) polyclonal an- Rabbit IgG, 1mg/ml in PBS with 0.02% sodium azide, tibody at 1:500 dilution 50% glycerol, pH7.2. Lane1:K562 whole cell lysate(40ug) Molecular Weight: Lane2:A2780 whole cell lysate(40ug) ~ 65kDa Lane3:AML-12 whole cell lysate(40ug) Swiss-Prot: Lane4:Jurkat whole cell lysate(40ug) Q86WB0 Note: Purification&Purity: For research use only, not for use in diagnostic procedure. -
Gnomad Lof Supplement
1 gnomAD supplement gnomAD supplement 1 Data processing 4 Alignment and read processing 4 Variant Calling 4 Coverage information 5 Data processing 5 Sample QC 7 Hard filters 7 Supplementary Table 1 | Sample counts before and after hard and release filters 8 Supplementary Table 2 | Counts by data type and hard filter 9 Platform imputation for exomes 9 Supplementary Table 3 | Exome platform assignments 10 Supplementary Table 4 | Confusion matrix for exome samples with Known platform labels 11 Relatedness filters 11 Supplementary Table 5 | Pair counts by degree of relatedness 12 Supplementary Table 6 | Sample counts by relatedness status 13 Population and subpopulation inference 13 Supplementary Figure 1 | Continental ancestry principal components. 14 Supplementary Table 7 | Population and subpopulation counts 16 Population- and platform-specific filters 16 Supplementary Table 8 | Summary of outliers per population and platform grouping 17 Finalizing samples in the gnomAD v2.1 release 18 Supplementary Table 9 | Sample counts by filtering stage 18 Supplementary Table 10 | Sample counts for genomes and exomes in gnomAD subsets 19 Variant QC 20 Hard filters 20 Random Forest model 20 Features 21 Supplementary Table 11 | Features used in final random forest model 21 Training 22 Supplementary Table 12 | Random forest training examples 22 Evaluation and threshold selection 22 Final variant counts 24 Supplementary Table 13 | Variant counts by filtering status 25 Comparison of whole-exome and whole-genome coverage in coding regions 25 Variant annotation 30 Frequency and context annotation 30 2 Functional annotation 31 Supplementary Table 14 | Variants observed by category in 125,748 exomes 32 Supplementary Figure 5 | Percent observed by methylation. -
Identification of Novel Variants in Colorectal Cancer Families by High-Throughput Exome Sequencing
Published OnlineFirst May 1, 2013; DOI: 10.1158/1055-9965.EPI-12-1226 Cancer Epidemiology, Research Article Biomarkers & Prevention Identification of Novel Variants in Colorectal Cancer Families by High-Throughput Exome Sequencing Melissa S. DeRycke1, Shanaka R. Gunawardena2, Sumit Middha3,YanW.Asmann3, Daniel J. Schaid3, Shannon K. McDonnell3, Shaun M. Riska3,BruceW.Eckloff5, Julie M. Cunningham2, Brooke L. Fridley6,DanielJ.Serie1, William R. Bamlet3,MineS.Cicek1, Mark A. Jenkins7,DavidJ.Duggan8, Daniel Buchanan9, Mark Clendenning9, Robert W. Haile10, Michael O. Woods11,StevenN.Gallinger12, Graham Casey10,JohnD.Potter13, Polly A. Newcomb14, Loïc Le Marchand14,NoralaneM.Lindor15, Stephen N. Thibodeau1,4,and Ellen L. Goode1 Abstract Background: Colorectal cancer (CRC) in densely affected families without Lynch Syndrome may be due to mutations in undiscovered genetic loci. Familial linkage analyses have yielded disparate results; the use of exome sequencing in coding regions may identify novel segregating variants. Methods: We completed exome sequencing on 40 affected cases from 16 multicase pedigrees to identify novel loci. Variants shared among all sequenced cases within each family were identified and filtered to exclude common variants and single-nucleotide variants (SNV) predicted to be benign. Results: We identified 32 nonsense or splice-site SNVs, 375 missense SNVs, 1,394 synonymous or noncoding SNVs, and 50 indels in the 16 families. Of particular interest are two validated and replicated missense variants in CENPE and KIF23, which are both located within previously reported CRC linkage regions, on chromosomes 1 and 15, respectively. Conclusions: Whole-exome sequencing identified DNA variants in multiple genes. Additional sequencing of these genes in additional samples will further elucidate the role of variants in these regions in CRC susceptibility.