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Genetic Differences Between Extreme and Composite Constitution Types from Whole Exome Sequences Reveal Actionable Variations
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.24.059006; this version posted April 28, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Genetic differences between extreme and composite constitution types from whole exome sequences reveal actionable variations Tahseen Abbas3,4,#, Rintu Kutum1,3,4,#, Rajesh Pandey1,#, Pushkar Dakle1, Ankita Narang1, Vijeta Manchanda1, Rutuja Patil1,5, Dheeraj Aggarwal5, Gourja Bansal1, Pooja Sharma1, Gaura Chaturvedi1,2,4, Bhushan Girase5, Ankita Srivastava5, Sanjay Juvekar5, Debasis Dash3,4,*, Bhavana Prasher1,2,4,*, Mitali Mukerji1,2,4,* 1Centre of Excellence for Applied Development of Ayurveda Prakriti and Genomics, CSIR Ayurgenomics Unit-TRISUTRA, CSIR-Institute of Genomics & Integrative Biology, Delhi, India. 2Genomics and Molecular Medicine, CSIR-Institute of Genomics & Integrative Biology, Mathura Road, Delhi, India 3Informatics and Big Data Unit, CSIR-Institute of Genomics & Integrative Biology, Mathura Road, Delhi, India 4Academy of Scientific and Innovative Research (AcSIR), CSIR-IGIB, Delhi, India 5Vadu Rural Health Program, KEM Hospital Research Centre, Pune, India # Lead authors * Corresponding authors: [email protected]; [email protected]; [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.04.24.059006; this version posted April 28, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract Personalized medicine relies on successful identification of genome-wide variations that governs inter-individual differences in phenotypes and system level outcomes. In Ayurveda, assessment of composite constitution types “Prakriti” forms the basis for risk stratification, predicting health and disease trajectories and personalized recommendations. -
New Genetic Loci Link Adipose and Insulin Biology to Body Fat Distribution
Europe PMC Funders Group Author Manuscript Nature. Author manuscript; available in PMC 2015 August 12. Published in final edited form as: Nature. 2015 February 12; 518(7538): 187–196. doi:10.1038/nature14132. Europe PMC Funders Author Manuscripts New genetic loci link adipose and insulin biology to body fat distribution A full list of authors and affiliations appears at the end of the article. # These authors contributed equally to this work. Abstract Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, we conducted genome-wide association meta-analyses of waist and hip circumference-related traits in up to 224,459 individuals. We identified 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (WHRadjBMI) and an additional 19 loci newly associated with related waist and hip circumference measures (P<5×10−8). Twenty of the 49 WHRadjBMI loci showed significant sexual dimorphism, 19 of which displayed a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation, and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms. Europe PMC Funders Author Manuscripts Depot-specific accumulation of fat, particularly in the central abdomen, confers an elevated risk of metabolic and cardiovascular diseases and mortality1. An easily accessible measure of body fat distribution is waist-to-hip ratio (WHR), a comparison of waist and hip circumferences. -
Cell Type Marker Enrichment Across Brain Regions and Experimental Conditions
Cell type marker enrichment across brain regions and experimental conditions by Powell Patrick Cheng Tan B. Sc. (Honours), Simon Fraser University, 2010 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Master of Science in THE FACULTY OF GRADUATE STUDIES (Bioinformatics) The University Of British Columbia (Vancouver) November 2012 c Powell Patrick Cheng Tan, 2012 Abstract The first chapter of this thesis explored the dominant gene expression pattern in the adult human brain. We discovered that the largest source of variation can be explained by cell type marker expression. Across brain regions, expression of neuron cell type markers are anti-correlated with the expression of oligodendrocyte cell type markers. Next, we explored gene function convergence and divergence in the adult mouse brain. Our contributions are as follows. First, we provide candidate cell type markers for investigating specific cell type populations. Second, we highlight orthologous genes that show functional divergence between human and mouse brains. In the second chapter, we present our preliminary work on the effects of tissue types and experimen- tal conditions on human microarray studies. First, we measured the expression and differential expression levels of tissue-enriched genes. Next, we identified modules with similar expression levels and differen- tial expression p-values. Our results show that expression levels reflect tissue type variation. In contrast, differential expression levels are more complex, owing to the large diversity of experimental conditions in the data. In summary, our work provides a different perspective on the functional roles of genes in human microarray studies. ii Table of Contents Abstract . -
New Genetic Loci Link Adipose and Insulin Biology to Body Fat Distribution
Europe PMC Funders Group Author Manuscript Nature. Author manuscript; available in PMC 2015 August 12. Published in final edited form as: Nature. 2015 February 12; 518(7538): 187–196. doi:10.1038/nature14132. Europe PMC Funders Author Manuscripts New genetic loci link adipose and insulin biology to body fat distribution A full list of authors and affiliations appears at the end of the article. # These authors contributed equally to this work. Abstract Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, we conducted genome-wide association meta-analyses of waist and hip circumference-related traits in up to 224,459 individuals. We identified 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (WHRadjBMI) and an additional 19 loci newly associated with related waist and hip circumference measures (P<5×10−8). Twenty of the 49 WHRadjBMI loci showed significant sexual dimorphism, 19 of which displayed a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation, and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms. Europe PMC Funders Author Manuscripts Depot-specific accumulation of fat, particularly in the central abdomen, confers an elevated risk of metabolic and cardiovascular diseases and mortality1. An easily accessible measure of body fat distribution is waist-to-hip ratio (WHR), a comparison of waist and hip circumferences. -
Uncovering Genes and Regulatory Pathways Related to Urinary Albumin Excretion
BASIC RESEARCH www.jasn.org Uncovering Genes and Regulatory Pathways Related to Urinary Albumin Excretion Rachael S. Hageman, Magalie S. Leduc, Christina R. Caputo, Shirng-Wern Tsaih, Gary A. Churchill, and Ron Korstanje The Jackson Laboratory, Bar Harbor, Maine ABSTRACT Identifying the genes underlying quantitative trait loci (QTL) for disease is difficult, mainly because of the low resolution of the approach and the complex genetics involved. However, recent advances in bioinformatics and the availability of genetic resources now make it possible to narrow the genetic intervals, test candidate genes, and define pathways affected by these QTL. In this study, we mapped three significant QTL and one suggestive QTL for an increased albumin-to-creatinine ratio on chromo- somes (Chrs) 1, 4, 15, and 17, respectively, in a cross between the inbred MRL/MpJ and SM/J strains of mice. By combining data from several sources and by utilizing gene expression data, we identified Tlr12 as a likely candidate for the Chr 4 QTL. Through the mapping of 33,881 transcripts measured by microarray on kidney RNA from each of the 173 male F2 animals, we identified several downstream pathways associated with these QTL, including the glycan degradation, leukocyte migration, and antigen-presenting pathways. We demonstrate that by combining data from multiple sources, we can identify not only genes that are likely to be causal candidates for QTL but also the pathways through which these genes act to alter phenotypes. This combined approach provides valuable insights into the causes and consequences of renal disease. J Am Soc Nephrol 22: ●●●–●●●, 2011. doi: 10.1681/ASN.2010050561 Chronic kidney disease is a growing medical prob- tative traits and mapped in a cross in the same way lem caused by various environmental and genetic as any other phenotype.2 factors. -
343747125.Pdf
Washington University School of Medicine Digital Commons@Becker Open Access Publications 2019 Associations of mitochondrial and nuclear mitochondrial variants and genes with seven metabolic traits Aldi T. Kraja Charles Gu Mary F. Feitosa Shiow J. Lin Lihua Wang See next page for additional authors Follow this and additional works at: https://digitalcommons.wustl.edu/open_access_pubs Authors Aldi T. Kraja, Charles Gu, Mary F. Feitosa, Shiow J. Lin, Lihua Wang, Mary J. Wojczynski, Ruteja A. Barve, Ping An, Thomas J. Baranski, E. Warwick Daw, Lisa de Las Fuentes, Latisha D. Love-Gregory, Christine Williams, Wei Yang, D. C. Rao, Victor G. Davila-Roman, Michael Province, and et al ARTICLE Associations of Mitochondrial and Nuclear Mitochondrial Variants and Genes with Seven Metabolic Traits Aldi T. Kraja,1,101,* Chunyu Liu,2,101 Jessica L. Fetterman,3,101 Mariaelisa Graff,4,101 Christian Theil Have,5,101 Charles Gu,6,101 Lisa R. Yanek,7 Mary F. Feitosa,1 Dan E. Arking,8 Daniel I. Chasman,9,10 Kristin Young,4 Symen Ligthart,11 W. David Hill,12 Stefan Weiss,13 Jian’an Luan,14 Franco Giulianini,9 Ruifang Li-Gao,15 Fernando P. Hartwig,16,17 Shiow J. Lin,1 Lihua Wang,1 Tom G. Richardson,17 Jie Yao,18 Eliana P. Fernandez,11 Mohsen Ghanbari,11 Mary K. Wojczynski,1 Wen-Jane Lee,19,20 Maria Argos,21 Sebastian M. Armasu,22 Ruteja A. Barve,23 Kathleen A. Ryan,24 Ping An,1 Thomas J. Baranski,25 Suzette J. Bielinski,26 Donald W. Bowden,27 Ulrich Broeckel,28 Kaare Christensen,29 Audrey Y. -
DNA Methylation Profiling in Recurrent Miscarriage
DNA methylation profiling in recurrent miscarriage Li Pi1,*, Zhaofeng Zhang1,*, Yan Gu2, Xinyue Wang1, Jianmei Wang2, Jianhua Xu1, Junwei Liu1, Xuan Zhang1 and Jing Du1 1 NHC Key Lab. of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Medical School, Fudan University, Shanghai, China 2 The Second Hospital of Tianjin Medical University, Tianjin, China * These authors contributed equally to this work. ABSTRACT Recurrent miscarriage (RM) is a complex clinical problem. However, specific diag- nostic biomarkers and candidate regulatory targets have not yet been identified. To explore RM-related biological markers and processes, we performed a genome-wide DNA methylation analysis using the Illumina Infinium HumanMethylation450 array platform. Methylation variable positions and differentially methylated regions (DMRs) were selected using the Limma package in R language. Thereafter, gene ontology (GO) enrichment analysis and pathway enrichment analysis were performed on these DMRs. A total of 1,799 DMRs were filtered out between patients with RM and healthy pregnant women. The GO terms were mainly related to system development, plasma membrane part, and sequence-specific DNA binding, while the enriched pathways included cell adhesion molecules, type I diabetes mellitus, and ECM–receptor interactions. In addition, genes, including ABR, ALCAM, HLA-E, HLA-G, and ISG15, were obtained. These genes may be potential candidates for diagnostic biomarkers and possible regulatory targets in RM. We then detected the mRNA expression levels of the candidate genes. The mRNA expression levels of the candidate genes in the RM group were significantly higher than those in the control group. However, additional research is still required to confirm their potential roles in the occurrence of RM. -
Archaic Adaptive Introgression in TBX15/WARS2
bioRxiv preprint doi: https://doi.org/10.1101/033928; this version posted October 27, 2016. 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. Archaic adaptive introgression in TBX15/WARS2 Fernando Racimo1*^, David Gokhman2, Matteo Fumagalli3, Amy Ko1, Torben Hansen4, Ida Moltke5, Anders Albrechtsen5, Liran Carmel2, Emilia Huerta-Sánchez6, Rasmus Nielsen1,7,8* Affiliations: 1 Department of Integrative Biology, University of California Berkeley, Berkeley, CA 94720, USA. 2 Department of Genetics, The Alexander Silberman Institute of Life Sciences, Faculty of Science, The Hebrew University of Jerusalem, Edmond J. Safra Campus, Givat Ram, Jerusalem 91904, Israel. 3 Department of Genetics, Evolution, and Environment, University College London, London WC1E 6BT, UK. 4 The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, 2100 Copenhagen, Denmark. 5 The Bioinformatics Centre, Department of Biology, University of Copenhagen, 2200 Copenhagen, Denmark. 6 School of Natural Sciences, University of California Merced, Merced, CA 95343, USA. 7 Department of Statistics, University of California Berkeley, Berkeley, CA 94720, USA. 8 Museum of Natural History, University of Copenhagen, 2100 Copenhagen, Denmark. *Correspondence to: FR ([email protected]) and R.N. ([email protected]). ^Now at: New York Genome Center, 101 Ave of the Americas, New York, NY 10013. Abstract A recent study conducted the first genome-wide scan for selection in Inuit from Greenland using SNP chip data. -
Archaic Adaptive Introgression in TBX15/WARS2 Supplementary Materials
Archaic adaptive introgression in TBX15/WARS2 Supplementary Materials Fernando Racimo1*^, David Gokhman2, Matteo Fumagalli3, Amy Ko1, Torben Hansen4, Ida Moltke5, Anders Albrechtsen5, Liran Carmel2, Emilia Huerta-Sánchez6, Rasmus Nielsen1,7,8* Affiliations: 1 Department of Integrative Biology, University of California Berkeley, Berkeley, CA 94720, USA. 2 Department of Genetics, The Alexander Silberman Institute of Life Sciences, Faculty of Science, The Hebrew University of Jerusalem, Edmond J. Safra Campus, Givat Ram, Jerusalem 91904, Israel. 3 Department of Genetics, Evolution, and Environment, University College London, London WC1E 6BT, UK. 4 The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, 2100 Copenhagen, Denmark. 5 The Bioinformatics Centre, Department of Biology, University of Copenhagen, 2200 Copenhagen, Denmark. 6 School of Natural Sciences, University of California Merced, Merced, CA 95343, USA. 7 Department of Statistics, University of California Berkeley, Berkeley, CA 94720, USA. 8 Museum of Natural History, University of Copenhagen, 2100 Copenhagen, Denmark. *Correspondence to: FR ([email protected]) and R.N. ([email protected]). ^Now at: New York Genome Center, 101 Ave of the Americas, New York, NY 10013. Supplementary Figures Figure S1. fD plotted as a function of the denominator in the D statistic, (ABBA+BABA), for all genes with coverage in SNP chip data, plus a 20kbp region on either side of the gene. Points in red are the candidate genes for selection in the GI selection scan (Fumagalli, et al. 2015). The blue circles denote the TBX15 and WARS2 genes. The solid and dashed lines were drawn to denote the location in the plot where fD is equal to -1, 0 and 1. -
Evaluating Differential Gene Expression Using Rna-Sequencing: a Case Study in Diet-Induced Mouse Model Associated with Non- Alco
EVALUATING DIFFERENTIAL GENE EXPRESSION USING RNA-SEQUENCING: A CASE STUDY IN DIET-INDUCED MOUSE MODEL ASSOCIATED WITH NON- ALCOHOLIC FATTY LIVER DISEASE (NAFLD) AND CXCL12-vs-TGFβ INDUCED FIBROBLAST TO MYOFIBROBLAST PHENOCONVERSION A Thesis Presented by ARPA SAMADDER Submitted to the Office of Graduate Studies, University of Massachusetts Boston, In partial fulfillment of the requirement for the degree of MASTER OF SCIENCE May 2019 Biology Program © 2019 by Arpa Samadder All rights reserved EVALUATING DIFFERENTIAL GENE EXPRESSION USING RNA-SEQUENCING: A CASE STUDY IN DIET-INDUCED MOUSE MODEL ASSOCIATED WITH NON- ALCOHOLIC FATTY LIVER DISEASE (NAFLD) AND CXCL12-vs-TGFβ INDUCED FIBROBLAST TO MYOFIBROBLAST PHENOCONVERSION A Thesis Presented by ARPA SAMADDER Approved as to style and content by: ________________________________________________ Todd Riley, Assistant Professor Committee Chair ________________________________________________ Prof. Jill Macoska, Director of CPCT, Department of Biology Member ________________________________________________ Alexey Veraksa, Professor Member ________________________________________________ Gregory Beck, Program Director Biology Program ________________________________________________ Richard Kesseli, Chairperson Biology Department ABSTRACT EVALUATING DIFFERENTIAL GENE EXPRESSION USING RNA-SEQUENCING: A CASE STUDY IN DIET-INDUCED MOUSE MODEL ASSOCIATED WITH NON- ALCOHOLIC FATTY LIVER DISEASE (NAFLD) AND CXCL12-vs-TGFβ INDUCED FIBROBLAST TO MYOFIBROBLAST PHENOCONVERSION May 2019 Arpa Samadder, B.S, -
Genome-Wide Association Study in Japanese Females Identifies Fifteen
www.nature.com/scientificreports OPEN Genome-wide association study in Japanese females identifes ffteen novel skin-related trait associations Received: 19 September 2017 Chihiro Endo1, Todd A. Johnson 2, Ryoko Morino3, Kazuyuki Nakazono2, Shigeo Kamitsuji2, Accepted: 25 May 2018 Masanori Akita3, Maiko Kawajiri3, Tatsuya Yamasaki4, Azusa Kami3, Yuria Hoshi4, Asami Tada3, Published: xx xx xxxx Kenichi Ishikawa3, Maaya Hine5, Miki Kobayashi5, Nami Kurume5, Yuichiro Tsunemi1, Naoyuki Kamatani2 & Makoto Kawashima1 Skin trait variation impacts quality-of-life, especially for females from the viewpoint of beauty. To investigate genetic variation related to these traits, we conducted a GWAS of various skin phenotypes in 11,311 Japanese women and identifed associations for age-spots, freckles, double eyelids, straight/ curly hair, eyebrow thickness, hairiness, and sweating. In silico annotation with RoadMap Epigenomics epigenetic state maps and colocalization analysis of GWAS and GTEx Project eQTL signals provided information about tissue specifcity, candidate causal variants, and functional target genes. Novel signals for skin-spot traits neighboured AKAP1/MSI2 (rs17833789; P = 2.2 × 10−9), BNC2 (rs10810635; P = 2.1 × 10−22), HSPA12A (rs12259842; P = 7.1 × 10−11), PPARGC1B (rs251468; P = 1.3 × 10−21), and RAB11FIP2 (rs10444039; P = 5.6 × 10−21). HSPA12A SNPs were the only protein-coding gene eQTLs identifed across skin-spot loci. Double edged eyelid analysis identifed that a signal around EMX2 (rs12570134; P = 8.2 × 10−15) was also associated with expression of EMX2 and the antisense-RNA gene EMX2OS in brain putamen basal ganglia tissue. A known hair morphology signal in EDAR was associated with both eyebrow thickness (rs3827760; P = 1.7 × 10−9) and straight/curly hair (rs260643; P = 1.6 × 10−103). -
Genes and Snps Involved with Scrotal and Umbilical Hernia in Pigs
G C A T T A C G G C A T genes Article Genes and SNPs Involved with Scrotal and Umbilical Hernia in Pigs Ariene Fernanda Grando Rodrigues 1, Adriana Mércia Guaratini Ibelli 2,3 , Jane de Oliveira Peixoto 2,3 , Maurício Egídio Cantão 2, Haniel Cedraz de Oliveira 4 , Igor Ricardo Savoldi 1 , Mayla Regina Souza 1,5 , Marcos Antônio Zanella Mores 2, Luis Orlando Duitama Carreño 6 and Mônica Corrêa Ledur 1,2,* 1 Programa de Pós-Graduação em Zootecnia, Departamento de Zootecnia, Centro de Educação Superior do Oeste (CEO), Universidade do Estado de Santa Catarina, UDESC, 89815-630 Chapecó, Brazil; [email protected] (A.F.G.R.); [email protected] (I.R.S.); [email protected] (M.R.S.) 2 Embrapa Suínos e Aves, Distrito de Tamanduá, 89715-899 Concórdia, Brazil; [email protected] (A.M.G.I.); [email protected] (J.d.O.P.); [email protected] (M.E.C.); [email protected] (M.A.Z.M.) 3 Programa de Pós-Graduação em Ciências Veterinárias, Departamento de Ciências Veterinárias, Universidade Estadual do Centro-Oeste, 85015-430 Guarapuava, Brazil 4 Animal Science Department, Universidade Federal de Viçosa, 36570-900 Viçosa, Brazil; [email protected] 5 Programa de Pós-Graduação em Zootecnia, Departamento de Zootecnia, Universidade Federal do Rio Grande do Sul, UFRGS, 91540-000 Porto Alegre, Brazil 6 BRF SA, 82305-100 Curitiba, Brazil; [email protected] * Correspondence: [email protected] or [email protected]; Tel.: +55-49-3441-0411 Abstract: Hernia is one of the most common defects in pigs.