期刊论文详细信息
Journal of Translational Medicine
Novel and rare functional genomic variants in multiple autoimmune syndrome and Sjögren’s syndrome
Mauricio Arcos-Burgos5  Juan-Manuel Anaya1  Chris Goodnow4  Gavin Huttley2  Matthew Field4  Dan Andrews4  Jorge I Velez5  Maria Fernanda Silva-Lara5  Stephanie Palmer2  Peter Milburn2  Angela Higgins2  Kaiman Peng2  Aaron Chuah3  Hardip R Patel3  Adriana Rojas-Villarraga1  Claudio Mastronardi5  Angad S Johar5 
[1] Center for Autoimmune Diseases Research (CREA), School of Medicine and Health Sciences, Universidad del Rosario, Bogota, Colombia;Biomolecular Resource Facility, John Curtin School of Medical Research, ANU College of Medicine, Biology and Environment, The Australian National University, Canberra, ACT, Australia;Genome Discovery Unit, Genome Biology Department, John Curtin School of Medical Research, ANU College of Medicine, Biology and Environment, The Australian National University, Canberra, ACT, Australia;Immunogenomics and Bioinformatics Group, Immunology Department, John Curtin School of Medical Research, ANU College of Medicine, Biology and Environment, The Australian National University, Canberra, ACT, Australia;Genomics and Predictive Medicine, Genome Biology Department, John Curtin School of Medical Research, ANU College of Medicine, Biology and Environment, The Australian National University, Canberra, ACT, Australia
关键词: Extreme phenotypes;    Whole exome sequencing;    Genetics;    Sjögren’s syndrome;    Multiple autoimmune syndrome;    Polyautoimmunity;    Autoimmune diseases;   
Others  :  1233505
DOI  :  10.1186/s12967-015-0525-x
 received in 2015-02-25, accepted in 2015-05-08,  发布年份 2015
【 摘 要 】

Background

Multiple autoimmune syndrome (MAS), an extreme phenotype of autoimmune disorders, is a very well suited trait to tackle genomic variants of these conditions. Whole exome sequencing (WES) is a widely used strategy for detection of protein coding and splicing variants associated with inherited diseases.

Methods

The DNA of eight patients affected by MAS [all of whom presenting with Sjögren’s syndrome (SS)], four patients affected by SS alone and 38 unaffected individuals, were subject to WES. Filters to identify novel and rare functional (pathogenic–deleterious) homozygous and/or compound heterozygous variants in these patients and controls were applied. Bioinformatics tools such as the Human gene connectome as well as pathway and network analysis were applied to test overrepresentation of genes harbouring these variants in critical pathways and networks involved in autoimmunity.

Results

Eleven novel and rare functional variants were identified in cases but not in controls, harboured in: MACF1, KIAA0754, DUSP12, ICA1, CELA1, LRP1/STAT6, GRIN3B, ANKLE1, TMEM161A, and FKRP. These were subsequently subject to network analysis and their functional relatedness to genes already associated with autoimmunity was evaluated. Notably, the LRP1/STAT6 novel mutation was homozygous in one MAS affected patient and heterozygous in another. LRP1/STAT6 disclosed the strongest plausibility for autoimmunity. LRP1/STAT6 are involved in extracellular and intracellular anti-inflammatory pathways that play key roles in maintaining the homeostasis of the immune system. Further; networks, pathways, and interaction analyses showed that LRP1 is functionally related to the HLA-B and IL10 genes and it has a substantial impact within immunological pathways and/or reaction to bacterial and other foreign proteins (phagocytosis, regulation of phospholipase A2 activity, negative regulation of apoptosis and response to lipopolysaccharides). Further, ICA1 and STAT6 were also closely related to AIRE and IRF5, two very well known autoimmunity genes.

Conclusions

Novel and rare exonic mutations that may account for autoimmunity were identified. Among those, the LRP1/STAT6 novel mutation has the strongest case for being categorised as potentially causative of MAS given the presence of intriguing patterns of functional interaction with other major genes shaping autoimmunity.

【 授权许可】

   
2015 Johar et al.

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【 参考文献 】
  • [1]Paz-Filho G, Boguszewski MC, Mastronardi CA, Patel HR, Johar AS, Chuah A et al.. Whole exome sequencing of extreme morbid obesity patients: translational implications for obesity and related disorders. Genes. 2014; 5:709-725.
  • [2]Cirulli ET, Goldstein DB. Uncovering the roles of rare variants in common disease through whole-genome sequencing. Nature Rev Genet. 2010; 11:415-425.
  • [3]Anaya JM. The diagnosis and clinical significance of polyautoimmunity. Autoimmun Rev. 2014; 13:423-426.
  • [4]Anaya JM, Castiblanco J, Rojas-Villaraga A, Pineda-Tamayo R, Levy RA, Gomez-Puerta J et al.. The multiple autoimmune syndromes. A clue for the autoimmune tautology. Clin Rev Allergy Immunol. 2012; 43:256-264.
  • [5]Johar AS, Anaya JM, Andrews D, Patel HR, Field M, Goodnow C et al.. Candidate gene discovery in autoimmunity by using extreme phenotypes, next generation sequencing and whole exome capture. Autoimmun Rev. 2015; 14:204-209.
  • [6]Anaya JM. Common mechanisms of autoimmune diseases (the autoimmune tautology). Autoimmun Rev. 2012; 11:781-784.
  • [7]Amador-Patarroyo MJ, Arbelaez JG, Mantilla RD, Rodriguez-Rodriguez A, Cárdenas-Roldán J, Pineda-Tamayo R et al.. Sjögren’s syndrome at the crossroad of polyautoimmunity. J Autoimmun. 2012; 39:199-205.
  • [8]Anaya JM, Tobon GJ, Vega P, Castiblanco J. Autoimmune disease aggregation in families with primary Sjögren’s syndrome. J Rheumatol. 2006; 33:2227-2234.
  • [9]Bozeman MT (2014) SNP and variation suite (Version 7.7.6) [Software]. Golden Helix, Inc. http://www.goldenhelix.com. Accessed 20 Apr 2015
  • [10]Bozeman MT (2015) Variant classification. In: SNP and Variation Suite Manual version 8.3.1, Copyright 2014. Accessed 11 Feb 2015
  • [11]Sheth N, Roca X, Hastings ML, Roeder T, Krainer AR, Sachidanandam R. Comprehensive splice-site analysis using comparative genomics. Nucleic Acids Res. 2006; 34:3955-3967.
  • [12]Desmet FO, Hamroun D, Lalande M, Collod-Beroud G, Claustres M, Beroud C. Human splicing finder: an online tool to predict bioinformatic signals. Nucleic Acids Res. 2009; 37:e67.
  • [13]Zhang C, Li WH, Krainer AR, Zhang MQ. RNA landscape of evolution for optimal exon and intron discrimination. Proc Natl Acad Sci USA. 2008; 105:5797-5802.
  • [14]Itan Y, Zhang SY, Vogt G, Abhyankar A, Herman M, Nitschke P et al.. The human gene connectome as a map of short cuts for morbid allele discovery. Proc Natl Acad Sci USA. 2013; 110:5558-5563.
  • [15]Itan Y, Mazel M, Mazel B, Abhyankar A, Nitschke P, Quintana-Murci L et al.. HGCS: an online tool for prioritizing disease-causing gene variants by biological distance. BMC Genom. 2014; 15:256. BioMed Central Full Text
  • [16]Yu W, Wulf A, Liu T, Khoury MJ, Gwinn M. Gene Prospector: an evidence gateway for evaluating potential susceptibility genes and interacting risk factors for human diseases. BMC Bioinform. 2008; 9:528. BioMed Central Full Text
  • [17]Benjamini Y, Hochberg Y. Controlling the false discovery rate: a powerful and practical approach to multiple testing. J R Statist Soc B. 1995; 57:289-300.
  • [18]Price AL, Patterson NJ, Plenge RM, Weinblatt ME, Shadick NA, Reich D. Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet. 2006; 38:904-909.
  • [19]Thorvaldsdottir H, Robinson JT, Mesirov JP. Integrative genomics viewer (IGV): high performance genomics data visualisation and exploration. Brief Bioinform. 2013; 14:178-192.
  • [20]Robinson JT, Thorvaldsdottir H, Winckler W, Guttman M, Lander ES, Getz G et al.. Integrative genomics viewer. Nat Biotechnol. 2011; 29:24-26.
  • [21]Schwarz JM, Rodelsperger C, Schuelke M, Seelow D. MutationTaster evaluates disease-causing potential of sequence alterations. Nat Methods. 2010; 7:575-576.
  • [22]Schwarz JM, Cooper DN, Schuelke M, Seelow D. MutationTaster2: mutation prediction for the deep sequencing age. Nat Methods. 2014; 11:361-362.
  • [23]Kent WJ, Sugnet CW, Furey TS, Roskin KM, Pringle TH, Zahler AM et al.. The human genome browser at UCSC. Genome Res. 2002; 12:996-1006.
  • [24]Kraja AT, Chasman DI, North KP, Reiner AP, Yanek LR, Kiplelainen TO et al.. Pleiotropic genes for metabolic syndrome and inflammation. Mol Genet Metab. 2014; 112:317-338.
  • [25]Shibata M, Yamada S, Kumar SR, Calero M, Bading J, Frangione B et al.. Clearance of Alzheimer’s amyloid-ss(1-40) peptide from brain by LDL receptor-related protein-1 at the blood–brain barrier. J Clin Invest. 2000; 106:1489-1499.
  • [26]Zurhove K, Nakajima C, Herz J, Bock HH, May P (2008) Gamma-secretase limits the inflammatory response through the processing of LRP1. Sci Signal 1:ra15
  • [27]Nilsson A, Vesterlund L, Oldenborg PA. Macrophage expression of LRP1, a receptor for apoptotic cells and unopsonized erythrocytes, can be regulated by glucocorticoids. Biochem Biophys Res Commun. 2012; 417:1304-1309.
  • [28]Fernandez-Castaneda A, Arandjelovic S, Stiles TL, Schlobach RK, Mowen KA, Gonias SL et al.. Identification of the low density lipoprotein (LDL) receptor-related protein-1 interactome in central nervous system myelin suggests a role in the clearance of necrotic cell debris. J Biol Chem. 2013; 288:4538-4548.
  • [29]Dalli J, Norling LV, Montero-Melendez T, Federici Canova D, Lashin H, Pavlov AM et al.. Microparticle alpha-2-macroglobulin enhances pro-resolving responses and promotes survival in sepsis. EMBO Mol Med. 2014; 6:27-42.
  • [30]Mandrekar S, Jiang Q, Lee CY, Koenigsknecht-Talboo J, Holtzman DM, Landreth GE. Microglia mediate the clearance of soluble Abeta through fluid phase macropinocytosis. J Neurosci. 2009; 29:4252-4262.
  • [31]Biermann MH, Veissi S, Maueröder C, Chaurio R, Berens C, Herrmann M et al.. The role of dead cell clearance in the etiology and pathogenesis of systemic lupus erythematosus: dendritic cells as potential targets. Expert Rev Clin Immunol. 2014; 10:1151-1164.
  • [32]Poon IK, Lucas CD, Rossi AG, Ravichandran KS. Apoptotic cell clearance: basic biology and therapeutic potential. Nat Rev Immunol. 2014; 14:166-180.
  • [33]Cush JJ, Splawski JB, Thomas R, McFarlin JE, Schulze-Koops H, Davis LS et al.. Elevated interleukin-10 levels in patients with rheumatoid arthritis. Arthritis Rheum. 1995; 38:96-104.
  • [34]Anaya JM, Correa PA, Herrera M, Eskdale J, Gallagher G. Interleukin 10 (IL-10) influences autoimmune response in primary Sjögren’s syndrome and is linked to IL-10 gene polymorphism. J Rheumatol. 2002; 29:1874-1876.
  • [35]Gomez LM, Anaya JM, Gonzalez CI, Pineda-Tamayo R, Otero W, Arango A et al.. PTPN22 C1858T polymorphism in Colombian patients with autoimmune diseases. Genes Immun. 2005; 6:628-631.
  • [36]Anaya JM, Gómez L, Castiblanco J. Is there a common genetic basis for autoimmune diseases? Clin Dev Immunol. 2006; 13:185-195.
  • [37]Bonner SM, Pietropaolo SL, Fan Y, Chang Y, Sethupathy P, Morran MP et al.. Sequence variation in promoter of Ica1 gene, which encodes protein implicated in type 1 diabetes, causes transcription factor autoimmune regulator (AIRE) to increase its binding and down-regulate expression. J Biol Chem. 2012; 287:17882-17893.
  • [38]Reksten TR, Johnsen SJ, Jonsson MV, Omdal R, Brun JG, Theander E et al.. Genetic associations to germinal centre formation in primary Sjögren’s syndrome. Ann Rheum Dis. 2014; 73:1253-1258.
  • [39]Villarino AV, Kanno Y, Ferdinand JR, O’Shea JJ. Mechanisms of Jak/STAT signaling in immunity and disease. J Immunol. 2015; 194:21-27.
  • [40]Wang Z, Burge CB. Splicing regulation: from a parts list of regulatory elements to an integrated splicing code. RNA. 2008; 14:802-813.
  • [41]Pietropaolo M, Castaño L, Babu S, Buelow R, Kuo YS, Martin S et al.. Molecular cloning and characterization of a novel diabetes-associated autoantigen. J Clin Invest. 1993; 92:359-371.
  • [42]Fan Y, Gaultierroti G, Tajima A, Grupillo M, Coppola A, He J. Compromised central tolerance of ICA69 induces multiple organ autoimmunity. J Autoimmun. 2014; 53:10-25.
  • [43]Pérez P, Anaya JM, Aguilera S, Urzúa U, Munroe D, Molina C et al.. Gene expression and chromosomal location for susceptibility to Sjögren’s syndrome. J Autoimmun. 2009; 33:99-108.
  • [44]Gordon TP, Cavill D, Neufing P, Zhang YJ, Pietropaolo M. ICA69 autoantibodies in primary Sjögren’s syndrome. Lupus. 2004; 13:483-484.
  • [45]Gerli R, Bartoloni Bocci E, Vaudo G, Marchesi S, Vitali C, Shoenfeld Y. Traditional cardiovascular risk factors in primary Sjögren’s syndrome—role of dyslipidaemia. Rheumatology (Oxford). 2006; 45:1580-1581.
  • [46]Cárdenas-Roldán J, Rojas-Villarraga A, Anaya JM. How do autoimmune diseases cluster in families? A systematic review and meta-analysis. BMC Med. 2013; 11:73. BioMed Central Full Text
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