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Qu Y, Li D, Liu W, Shi D. Molecular consideration relevant to the mechanism of the comorbidity between psoriasis and systemic lupus erythematosus (Review). Exp Ther Med 2023; 26:482. [PMID: 37745036 PMCID: PMC10515117 DOI: 10.3892/etm.2023.12181] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 08/03/2023] [Indexed: 09/26/2023] Open
Abstract
Systemic lupus erythematosus (SLE), a common autoimmune disease with a global incidence and newly diagnosed population estimated at 5.14 (range, 1.4-15.13) per 100,000 person-years and 0.40 million people annually, respectively, affects multiple tissues and organs; for example, skin, blood system, heart and kidneys. Accumulating data has also demonstrated that psoriasis (PS) can be a systemic inflammatory disease, which can affect organs other than the skin and occur alongside other autoimmune diseases, such as inflammatory bowel disease, multiple sclerosis, rheumatoid arthritis and SLE. The current explanations for the possible comorbidity of PS and SLE include: i) The two diseases share susceptible gene loci; ii) they share a common IL-23/T helper 17 (Th17) axis inflammatory pathway; and iii) the immunopathogenesis of the two conditions is a consequence of the interactions between IL-17 cytokines with effector Th17 cells, T regulatory cells, as well as B cells. In addition, the therapeutic efficacy of IL-17 or TNF-α inhibitors has been demonstrated in PS, and has also become evident in SLE. However, the mechanisms have not been investigated. To the best of our knowledge, there remains a lack of substantial studies on the correlation between PS and SLE. In the present review, the literature, with regards to the epidemiology, genetic predisposition, inflammatory mechanisms and treatment of the patients with both PS and SLE, has been reviewed. Further investigations into the molecular pathogenic mechanism may provide drug targets that could benefit the patients with concomitant PS and SLE.
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Affiliation(s)
- Yuying Qu
- Department of Dermatology, College of Clinical Medicine, Jining Medical University, Jining, Shandong 272067, P.R. China
| | - Dongmei Li
- Department of Microbiology and Immunology, Georgetown University Medical Center, Washington, DC 20057, USA
| | - Weida Liu
- Department of Medical Mycology, Chinese Academy of Medical Sciences Institute of Dermatology, Nanjing, Jiangsu 272002, P.R. China
| | - Dongmei Shi
- Department of Dermatology, Jining No. 1 People's Hospital, Jining, Shandong 272011, P.R. China
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2
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Schwartz I, Vunjak M, Budroni V, Cantoran García A, Mastrovito M, Soderholm A, Hinterndorfer M, de Almeida M, Hacker K, Wang J, Froussios K, Jude J, Decker T, Zuber J, Versteeg GA. SPOP targets the immune transcription factor IRF1 for proteasomal degradation. eLife 2023; 12:e89951. [PMID: 37622993 PMCID: PMC10491434 DOI: 10.7554/elife.89951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 08/16/2023] [Indexed: 08/26/2023] Open
Abstract
Adaptation of the functional proteome is essential to counter pathogens during infection, yet precisely timed degradation of these response proteins after pathogen clearance is likewise key to preventing autoimmunity. Interferon regulatory factor 1 (IRF1) plays an essential role as a transcription factor in driving the expression of immune response genes during infection. The striking difference in functional output with other IRFs is that IRF1 also drives the expression of various cell cycle inhibiting factors, making it an important tumor suppressor. Thus, it is critical to regulate the abundance of IRF1 to achieve a 'Goldilocks' zone in which there is sufficient IRF1 to prevent tumorigenesis, yet not too much which could drive excessive immune activation. Using genetic screening, we identified the E3 ligase receptor speckle type BTB/POZ protein (SPOP) to mediate IRF1 proteasomal turnover in human and mouse cells. We identified S/T-rich degrons in IRF1 required for its SPOP MATH domain-dependent turnover. In the absence of SPOP, elevated IRF1 protein levels functionally increased IRF1-dependent cellular responses, underpinning the biological significance of SPOP in curtailing IRF1 protein abundance.
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Affiliation(s)
- Irene Schwartz
- Department of Microbiology, Immunobiology and Genetics, Max Perutz Labs, University of ViennaViennaAustria
- Vienna BioCenter PhD Program, Doctoral School of the University of Vienna and Medical University of Vienna, Vienna BiocenterViennaAustria
| | - Milica Vunjak
- Department of Microbiology, Immunobiology and Genetics, Max Perutz Labs, University of ViennaViennaAustria
- Vienna BioCenter PhD Program, Doctoral School of the University of Vienna and Medical University of Vienna, Vienna BiocenterViennaAustria
| | - Valentina Budroni
- Department of Microbiology, Immunobiology and Genetics, Max Perutz Labs, University of ViennaViennaAustria
- Vienna BioCenter PhD Program, Doctoral School of the University of Vienna and Medical University of Vienna, Vienna BiocenterViennaAustria
| | - Adriana Cantoran García
- Department of Microbiology, Immunobiology and Genetics, Max Perutz Labs, University of ViennaViennaAustria
| | - Marialaura Mastrovito
- Department of Microbiology, Immunobiology and Genetics, Max Perutz Labs, University of ViennaViennaAustria
| | - Adrian Soderholm
- Department of Microbiology, Immunobiology and Genetics, Max Perutz Labs, University of ViennaViennaAustria
- Vienna BioCenter PhD Program, Doctoral School of the University of Vienna and Medical University of Vienna, Vienna BiocenterViennaAustria
| | - Matthias Hinterndorfer
- Vienna BioCenter PhD Program, Doctoral School of the University of Vienna and Medical University of Vienna, Vienna BiocenterViennaAustria
- Research Institute of Molecular Pathology, Vienna BiocenterViennaAustria
| | - Melanie de Almeida
- Vienna BioCenter PhD Program, Doctoral School of the University of Vienna and Medical University of Vienna, Vienna BiocenterViennaAustria
- Research Institute of Molecular Pathology, Vienna BiocenterViennaAustria
| | - Kathrin Hacker
- Department of Microbiology, Immunobiology and Genetics, Max Perutz Labs, University of ViennaViennaAustria
| | - Jingkui Wang
- Research Institute of Molecular Pathology, Vienna BiocenterViennaAustria
| | - Kimon Froussios
- Research Institute of Molecular Pathology, Vienna BiocenterViennaAustria
| | - Julian Jude
- Research Institute of Molecular Pathology, Vienna BiocenterViennaAustria
| | - Thomas Decker
- Department of Microbiology, Immunobiology and Genetics, Max Perutz Labs, University of ViennaViennaAustria
| | - Johannes Zuber
- Research Institute of Molecular Pathology, Vienna BiocenterViennaAustria
- Medical University of Vienna, Vienna BioCenterViennaAustria
| | - Gijs A Versteeg
- Department of Microbiology, Immunobiology and Genetics, Max Perutz Labs, University of ViennaViennaAustria
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3
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Yu Y, Werdyani S, Carey M, Parfrey P, Yilmaz YE, Savas S. A comprehensive analysis of SNPs and CNVs identifies novel markers associated with disease outcomes in colorectal cancer. Mol Oncol 2021; 15:3329-3347. [PMID: 34309201 PMCID: PMC8637572 DOI: 10.1002/1878-0261.13067] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 05/29/2021] [Accepted: 07/24/2021] [Indexed: 12/15/2022] Open
Abstract
We aimed to examine the associations of a genome-wide set of single nucleotide polymorphisms (SNPs) and 254 copy number variations (CNVs) and/or insertion/deletions (INDELs) with clinical outcomes in colorectal cancer patients (n = 505). We also aimed to investigate whether their associations changed (e.g., appeared, diminished) over time. Multivariable Cox proportional hazards and piece-wise Cox regression models were used to examine the associations. The Cancer Genome Atlas (TCGA) datasets were used for replication purposes and to examine the gene expression differences between tumor and nontumor tissue samples. A common SNP (WBP11-rs7314075) was associated with disease-specific survival with P-value of 3.2 × 10-8 . Association of this region with disease-specific survival was also detected in the TCGA patient cohort. Two expression quantitative trait loci (eQTLs) were identified in this locus that were implicated in the regulation of ERP27 expression. Interestingly, expression levels of ERP27 and WBP11 were significantly different between colorectal tumors and nontumor tissues. Three SNPs predicted the risk of recurrent disease only after 5 years postdiagnosis. Overall, our study identified novel variants, one of which also showed an association in the TCGA dataset, but no CNVs/INDELs, that associated with outcomes in colorectal cancer. Three SNPs were candidate predictors of long-term recurrence/metastasis risk.
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Affiliation(s)
- Yajun Yu
- Discipline of GeneticsFaculty of MedicineMemorial UniversitySt. John’sNLCanada
- Present address:
Division of Biomedical SciencesFaculty of MedicineMemorial UniversitySt. John’sNLCanada
| | - Salem Werdyani
- Discipline of GeneticsFaculty of MedicineMemorial UniversitySt. John’sNLCanada
- Present address:
Division of Biomedical SciencesFaculty of MedicineMemorial UniversitySt. John’sNLCanada
| | - Megan Carey
- Discipline of GeneticsFaculty of MedicineMemorial UniversitySt. John’sNLCanada
| | - Patrick Parfrey
- Discipline of MedicineFaculty of MedicineMemorial UniversitySt. John’sNLCanada
| | - Yildiz E. Yilmaz
- Discipline of GeneticsFaculty of MedicineMemorial UniversitySt. John’sNLCanada
- Discipline of MedicineFaculty of MedicineMemorial UniversitySt. John’sNLCanada
- Department of Mathematics and StatisticsFaculty of ScienceMemorial UniversitySt. John’sNLCanada
| | - Sevtap Savas
- Discipline of GeneticsFaculty of MedicineMemorial UniversitySt. John’sNLCanada
- Discipline of OncologyFaculty of MedicineMemorial UniversitySt. John’sNLCanada
- Present address:
Division of Biomedical SciencesFaculty of MedicineMemorial UniversitySt. John’sNLCanada
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4
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CCL3L3-null status is associated with susceptibility to systemic lupus erythematosus. Sci Rep 2021; 11:19172. [PMID: 34580371 PMCID: PMC8476559 DOI: 10.1038/s41598-021-98531-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 08/30/2021] [Indexed: 11/08/2022] Open
Abstract
The correlation between copy number variation (CNV) and the susceptibility to systemic lupus erythematosus (SLE) has been reported for various immunity-related genes. However, the contribution of CNVs to SLE susceptibility awaits more investigation. To evaluate the copy numbers in immunity-related genes such as TNFAIP3, TNIP1, IL12B, TBX21 (T-bet), TLR7, C4A, C4B, CCL3L1, and CCL3L3, the modified real competitive polymerase chain reaction (mrcPCR) assay was employed, and the association between the copy numbers and SLE susceptibility was analyzed in 334 SLE patients and 338 controls. CCL3L3-null status was significantly associated with SLE susceptibility (OR > 18, P < 0.0001), which remained significant by Bonferroni's correction (corrected P = 0.0007). However, the significant association between C4B low-copy status and SLE susceptibility (OR = 1.6051, P = 0.0331) became non-significant by Bonferroni's correction (corrected P = 0.3938). Except for these results, no other significant association between SLE susceptibility and copy number status in other genes was observed. The CCL3L3-null status may be a significant factor for SLE susceptibility.
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Lo Faro V, Ten Brink JB, Snieder H, Jansonius NM, Bergen AA. Genome-wide CNV investigation suggests a role for cadherin, Wnt, and p53 pathways in primary open-angle glaucoma. BMC Genomics 2021; 22:590. [PMID: 34348663 PMCID: PMC8336345 DOI: 10.1186/s12864-021-07846-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 06/18/2021] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND To investigate whether copy number variations (CNVs) are implicated in molecular mechanisms underlying primary open-angle glaucoma (POAG), we used genotype data of POAG individuals and healthy controls from two case-control studies, AGS (n = 278) and GLGS-UGLI (n = 1292). PennCNV, QuantiSNP, and cnvPartition programs were used to detect CNV. Stringent quality controls at both sample and marker levels were applied. The identified CNVs were intersected in CNV region (CNVR). After, we performed burden analysis, CNV-genome-wide association analysis, gene set overrepresentation and pathway analysis. In addition, in human eye tissues we assessed the expression of the genes lying within significant CNVRs. RESULTS We reported a statistically significant greater burden of CNVs in POAG cases compared to controls (p-value = 0,007). In common between the two cohorts, CNV-association analysis identified statistically significant CNVRs associated with POAG that span 11 genes (APC, BRCA2, COL3A1, HLA-DRB1, HLA-DRB5, HLA-DRB6, MFSD8, NIPBL, SCN1A, SDHB, and ZDHHC11). Functional annotation and pathway analysis suggested the involvement of cadherin, Wnt signalling, and p53 pathways. CONCLUSIONS Our data suggest that CNVs may have a role in the susceptibility of POAG and they can reveal more information on the mechanism behind this disease. Additional genetic and functional studies are warranted to ascertain the contribution of CNVs in POAG.
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Affiliation(s)
- Valeria Lo Faro
- Department of Ophthalmology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.,Departments of Clinical Genetics and Ophthalmology, Amsterdam University Medical Center (AMC), Location AMC K2-217
- AMC-UvA, P.O.Box 22700, 1100 DE, Amsterdam, The Netherlands
| | - Jacoline B Ten Brink
- Departments of Clinical Genetics and Ophthalmology, Amsterdam University Medical Center (AMC), Location AMC K2-217
- AMC-UvA, P.O.Box 22700, 1100 DE, Amsterdam, The Netherlands
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Nomdo M Jansonius
- Department of Ophthalmology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Arthur A Bergen
- Departments of Clinical Genetics and Ophthalmology, Amsterdam University Medical Center (AMC), Location AMC K2-217
- AMC-UvA, P.O.Box 22700, 1100 DE, Amsterdam, The Netherlands. .,Department of Ophthalmology, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands. .,Netherlands Institute for Neuroscience (NIN-KNAW), Amsterdam, The Netherlands.
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6
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Wang Y, Li L, Yang Y, Feng J, Wang L, Zhang H. Copy Number Variation in MUC5AC and Susceptibility to Allergic Rhinitis: A Low-Coverage Whole-Genome Sequencing and Validation Cohort Study. Genet Test Mol Biomarkers 2020; 24:173-180. [PMID: 32208937 DOI: 10.1089/gtmb.2019.0166] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Background: The contribution of genetic copy number variations (CNVs) to allergic rhinitis (AR) remains unknown. The aim of this study was to identify genetic CNVs related to AR in the Han Chinese population. Methods: A case/parent trio of patients of Han Chinese descent affected with AR was examined using low-coverage whole-genome sequencing. Select CNVs were also explored for AR association in a validation cohort of 696 diagnosed AR patients and 528 matched controls. AccuCopy™, a multiplex fluorescence competitive polymerase chain reaction (PCR) assay, was used for genotyping of the CNV and was further validated with real-time PCR. Results: In the case/parent trio study, 67 CNVs were found in the Database of Genomic Variants and shared by patients within the family; 7 of these CNVs had a frequency higher than 0.05. A duplication at 11P15.5 was found involving three mucin-encoding genes (MUC2, MUC5AC, and MUC5B) previously identified as candidate genes for asthma and other chronic inflammatory upper airway diseases. In the validation cohort, no CNVs for MUC2 or MUC5B were identified. However, in the case group, 36.21% of individuals had a duplication of MUC5AC, and 28.03% of controls had MUC5AC duplication (χ2 = 9.123; p = 0.0025). The association of MUC5AC copy number with AR was significant in a multivariable logistic regression analysis after adjusting for age and sex (Padj = 0.0010; OR = 2.073; 95% CI, 1.625-2.805). Real-time PCR validation confirmed duplication of MUC5AC, and the CNV genotype detected with the AccuCopy assay was validated for 58 (96.67%) individuals. Furthermore, individuals with a high MUC5AC copy number showed enhanced total blood eosinophil counts in both the total sample group and the case group (Spearman's ρ: 0.162, p < 0.001; Spearman's ρ: 0.240, p < 0.001). Conclusions: MUC5AC copy number is associated with AR susceptibility. Additional validation and functional studies are warranted to elucidate the effect of MUC5AC CNV on gene expression and AR risk.
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Affiliation(s)
- Yan Wang
- Department of Otolaryngology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Linge Li
- Department of Otolaryngology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Yuping Yang
- Department of Otolaryngology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Juan Feng
- Department of Otolaryngology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Lingling Wang
- Department of Otolaryngology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Hua Zhang
- Department of Otolaryngology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
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7
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Vicuña L, Fernandez MI, Vial C, Valdebenito P, Chaparro E, Espinoza K, Ziegler A, Bustamante A, Eyheramendy S. Adaptation to Extreme Environments in an Admixed Human Population from the Atacama Desert. Genome Biol Evol 2020; 11:2468-2479. [PMID: 31384924 PMCID: PMC6733355 DOI: 10.1093/gbe/evz172] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/29/2019] [Indexed: 12/11/2022] Open
Abstract
Inorganic arsenic (As) is a toxic xenobiotic and carcinogen associated with severe health conditions. The urban population from the Atacama Desert in northern Chile was exposed to extremely high As levels (up to 600 µg/l) in drinking water between 1958 and 1971, leading to increased incidence of urinary bladder cancer (BC), skin cancer, kidney cancer, and coronary thrombosis decades later. Besides, the Andean Native-American ancestors of the Atacama population were previously exposed for millennia to elevated As levels in water (∼120 µg/l) for at least 5,000 years, suggesting adaptation to this selective pressure. Here, we performed two genome-wide selection tests—PBSn1 and an ancestry-enrichment test—in an admixed population from Atacama, to identify adaptation signatures to As exposure acquired before and after admixture with Europeans, respectively. The top second variant selected by PBSn1 was associated with LCE4A-C1orf68, a gene that may be involved in the immune barrier of the epithelium during BC. We performed association tests between the top PBSn1 hits and BC occurrence in our population. The strongest association (P = 0.012) was achieved by the LCE4A-C1orf68 variant. The ancestry-enrichment test detected highly significant signals (P = 1.3 × 10−9) mapping MAK16, a gene with important roles in ribosome biogenesis during the G1 phase of the cell cycle. Our results contribute to a better understanding of the genetic factors involved in adaptation to the pathophysiological consequences of As exposure.
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Affiliation(s)
- Lucas Vicuña
- Department of Statistics, Faculty of Mathematics, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Mario I Fernandez
- Department of Urology, Clínica Alemana, Santiago, Chile.,Center for Genetics and Genomics, Faculty of Medicine, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
| | - Cecilia Vial
- Center for Genetics and Genomics, Faculty of Medicine, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
| | | | | | | | - Annemarie Ziegler
- Center for Genetics and Genomics, Faculty of Medicine, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
| | | | - Susana Eyheramendy
- Department of Statistics, Faculty of Mathematics, Pontificia Universidad Católica de Chile, Santiago, Chile.,Faculty of Engineering and Sciences, Universidad Adolfo Ibañez, Peñalolén, Santiago, Chile
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Simpfendorfer KR, Li W, Shih A, Wen H, Kothari HP, Einsidler EA, Wuster A, Hunkapiller J, Behrens TW, Graham RR, Townsend MJ, Behar DM, Hu R, Greenspan E, Gregersen PK. Influence of genetic copy number variants of the human GLUT3 glucose transporter gene SLC2A3 on protein expression, glycolysis and rheumatoid arthritis risk: A genetic replication study. Mol Genet Metab Rep 2019; 19:100470. [PMID: 30997344 PMCID: PMC6453668 DOI: 10.1016/j.ymgmr.2019.100470] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Revised: 03/18/2019] [Accepted: 03/30/2019] [Indexed: 12/20/2022] Open
Abstract
Objectives The gene encoding glucose transporter 3 (GLUT3, SLC2A3) is present in the human population at variable copy number. An overt disease phenotype of SLC2A3 copy number variants has not been reported; however, deletion of SLC2A3 has been previously reported to protect carriers from rheumatoid arthritis, implicating GLUT3 as a therapeutic target in rheumatoid arthritis. Here we aim to perform functional analysis of GLUT3 copy number variants in immune cells, and test the reported protective association of the GLUT3 copy number variants for rheumatoid arthritis in a genetic replication study. Methods Cells from genotyped healthy controls were analyzed for SLC2A3/GLUT3 expression and glycolysis capacity. We genotyped the SLC2A3 copy number variant in four independent cohorts of rheumatoid arthritis and controls and one cohort of multiple sclerosis and controls. Results Heterozygous deletion of SLC2A3 correlates directly with expression levels of GLUT3 and influences glycolysis rates in the human immune system. The frequency of the SLC2A3 copy number variant is not different between rheumatoid arthritis, multiple sclerosis and control groups. Conclusions Despite a robust SLC2A3 gene copy number dependent phenotype, our study of large groups of rheumatoid arthritis cases and controls provides no evidence for rheumatoid arthritis disease protection in deletion carriers. These data emphasize the importance of well powered replication studies to confirm or refute genetic associations, particularly for relatively rare variants. T cell and macrophage expression of SLC2A3/GLUT3 correlates to SLC2A3 gene copy number in a dose dependent manner. Glycolysis rates are reduced in individuals harboring a deletion of the GLUT3 gene SLC2A3 Deletion of SLC2A3 is not associated with protection from rheumatoid arthritis Deletion of SLC2A3 is not associated with risk for multiple sclerosis GLUT3 is not a viable therapeutic target for RA as previously proposed based on a protective association of SLC2A3 deletion.
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Affiliation(s)
- Kim R Simpfendorfer
- Robert S. Boas Center for Genomics and Human Genetics, the Feinstein Institute for Medical Research, 350 Community Drive, Manhasset, New York, USA.,Department of Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, USA
| | - Wentian Li
- Robert S. Boas Center for Genomics and Human Genetics, the Feinstein Institute for Medical Research, 350 Community Drive, Manhasset, New York, USA
| | - Andrew Shih
- Robert S. Boas Center for Genomics and Human Genetics, the Feinstein Institute for Medical Research, 350 Community Drive, Manhasset, New York, USA
| | - Hongxiu Wen
- Robert S. Boas Center for Genomics and Human Genetics, the Feinstein Institute for Medical Research, 350 Community Drive, Manhasset, New York, USA
| | - Harini P Kothari
- Robert S. Boas Center for Genomics and Human Genetics, the Feinstein Institute for Medical Research, 350 Community Drive, Manhasset, New York, USA
| | - Edward A Einsidler
- Robert S. Boas Center for Genomics and Human Genetics, the Feinstein Institute for Medical Research, 350 Community Drive, Manhasset, New York, USA
| | - Arthur Wuster
- Department of Human Genetics, Genentech Inc., 1 DNA Way, South San Francisco, California, USA
| | - Julie Hunkapiller
- Department of Human Genetics, Genentech Inc., 1 DNA Way, South San Francisco, California, USA
| | - Timothy W Behrens
- Department of Human Genetics, Genentech Inc., 1 DNA Way, South San Francisco, California, USA
| | - Robert R Graham
- Department of Human Genetics, Genentech Inc., 1 DNA Way, South San Francisco, California, USA
| | - Michael J Townsend
- Department of Biomarker Discovery OMNI, Genentech Inc., 1 DNA Way, South San Francisco, California, USA
| | - Doron M Behar
- Gene by Gene, Genomic Research Center, Houston, TX, USA
| | - Rui Hu
- Gene by Gene, Genomic Research Center, Houston, TX, USA
| | | | - Peter K Gregersen
- Robert S. Boas Center for Genomics and Human Genetics, the Feinstein Institute for Medical Research, 350 Community Drive, Manhasset, New York, USA.,Department of Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, USA
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9
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Kara S, Pirela-Morillo GA, Gilliam CT, Wilson GD. Identification of novel susceptibility genes associated with seven autoimmune disorders using whole genome molecular interaction networks. J Autoimmun 2018; 97:48-58. [PMID: 30391024 DOI: 10.1016/j.jaut.2018.10.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 10/08/2018] [Accepted: 10/11/2018] [Indexed: 12/20/2022]
Abstract
Convergent evidence from multiple and independent genetics studies implicate a small number of genes that predispose individuals to multiple autoimmune disorders (AuD). These intersecting loci reinforced the hypothesis that disorders with overlapping etiology group into a cluster of closely related genes within a whole genome molecular interaction network. We tested the hypothesis that "biological network proximity" within a whole genome molecular interaction network can be used to inform the search for multigene inheritance. Using a set of nine previously published genome wide association studies (GWAS) of AuD genes, we generated AuD-specific molecular interaction networks to identify networks of associated genes. We show that all nine "seed genes" can be connected within a 35-member network via interactions with 26 connecting genes. We show that this network is more connected than expected by chance, and 13 of the connecting genes showed association with multiple AuD upon GWAS reanalysis. Furthermore, we report association of SNPs in five new genes (IL10RA, DGKA, GRB2, STAT5A, and NFATC2) which were not previously considered as AuD candidates, and show significant association in novel disease samples of Crohn's disease and systemic lupus erythematosus. Furthermore, we show that the connecting genes show no association in four non-AuD GWAS. Finally, we test the connecting genes in psoriasis GWAS, and show association to previously identified loci and report new loci. These findings support the hypothesis that molecular interaction networks can be used to inform the search for multigene disease etiology, especially for disorders with overlapping etiology.
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Affiliation(s)
- Sam Kara
- University of Chicago, Departments of Human Genetics, 920 East 58 th St., Chicago, IL 60637, USA; Radiation Oncology Department, Beaumont Health, 3811 W Thirteen Mile Road, Royal Oak, MI, 48073, USA
| | - Gerardo A Pirela-Morillo
- La Universidad del Zulia, Computer Science Department, Laboratories for Computational Models & Languages, and Bioinformatics, Edif. Grano de Oro, Planta Baja, Departamento de Computación, Ave. Universidad con Ave. 22, Maracaibo, 4002, Venezuela
| | - Conrad T Gilliam
- University of Chicago, Departments of Human Genetics, 920 East 58 th St., Chicago, IL 60637, USA
| | - George D Wilson
- Radiation Oncology Department, Beaumont Health, 3811 W Thirteen Mile Road, Royal Oak, MI, 48073, USA.
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10
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Shao X, Wang B, Mu K, Li L, Li Q, He W, Yao Q, Jia X, Zhang JA. Key gene co-expression modules and functional pathways involved in the pathogenesis of Graves' disease. Mol Cell Endocrinol 2018; 474:252-259. [PMID: 29614339 DOI: 10.1016/j.mce.2018.03.015] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Revised: 03/27/2018] [Accepted: 03/28/2018] [Indexed: 12/13/2022]
Abstract
Graves' disease (GD) is a common autoimmune thyroid disease characterized by positive thyroid stimulating hormone receptor antibody. To better understand its molecular pathogenesis, we adopted the weighted gene co-expression network analysis to reveal co-expression modules of key genes involved in the pathogenesis of GD, protein-protein interaction network analysis to identify the hub genes related to GD development and functional analyses to explore their possible functions. Our results showed that 1) a total of 2667 differentially expressed genes in our microarray study and 16 different gene co-expression modules were associated with GD, and 2) the most significant module was associated with the percentage of macrophages, T follicular helper cells and CD4+ memory T cells and mainly enriched in immune regulation and immune response. Overall, our study reveals several key gene co-expression modules and functional pathways involved in GD, which provides some novel insights into the pathogenesis of GD.
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Affiliation(s)
- Xiaoqing Shao
- Department of Endocrinology, Jinshan Hospital of Fudan University, Shanghai 201508, China
| | - Bin Wang
- Department of Endocrinology, Jinshan Hospital of Fudan University, Shanghai 201508, China
| | - Kaida Mu
- Department of Endocrinology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai 201318, China
| | - Ling Li
- Department of Endocrinology, Jinshan Hospital of Fudan University, Shanghai 201508, China
| | - Qian Li
- Department of Endocrinology, Jinshan Hospital of Fudan University, Shanghai 201508, China
| | - Weiwei He
- Department of Endocrinology, Jinshan Hospital of Fudan University, Shanghai 201508, China
| | - Qiuming Yao
- Department of Endocrinology, Jinshan Hospital of Fudan University, Shanghai 201508, China
| | - Xi Jia
- Department of Endocrinology, Jinshan Hospital of Fudan University, Shanghai 201508, China
| | - Jin-An Zhang
- Department of Endocrinology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai 201318, China.
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Genome-wide burden and association analyses implicate copy number variations in asthma risk among children and young adults from Latin America. Sci Rep 2018; 8:14475. [PMID: 30262839 PMCID: PMC6160443 DOI: 10.1038/s41598-018-32837-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Accepted: 09/13/2018] [Indexed: 01/02/2023] Open
Abstract
The genetic architecture of asthma was relatively well explored. However, some work remains in the field to improve our understanding on asthma genetics, especially in non-Caucasian populations and with regards to commonly neglected genetic variants, such as Copy Number Variations (CNVs). In the present study, we investigated the contribution of CNVs on asthma risk among Latin Americans. CNVs were inferred from SNP genotyping data. Genome wide burden and association analyses were conducted to evaluate the impact of CNVs on asthma outcome. We found no significant difference in the numbers of CNVs between asthmatics and non-asthmatics. Nevertheless, we found that CNVs are larger in patients then in healthy controls and that CNVs from cases intersect significantly more genes and regulatory elements. We also found that a deletion at 6p22.1 is associated with asthma symptoms in children from Salvador (Brazil) and in young adults from Pelotas (Brazil). To support our results, we conducted an in silico functional analysis and found that this deletion spans several regulatory elements, including two promoter elements active in lung cells. In conclusion, we found robust evidence that CNVs could contribute for asthma susceptibility. These results uncover a new perspective on the influence of genetic factors modulating asthma risk.
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12
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Yi JS, Guptill JT, Stathopoulos P, Nowak RJ, O'Connor KC. B cells in the pathophysiology of myasthenia gravis. Muscle Nerve 2017; 57:172-184. [PMID: 28940642 DOI: 10.1002/mus.25973] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/07/2017] [Indexed: 12/21/2022]
Abstract
Myasthenia gravis (MG) is an archetypal autoimmune disease. The pathology is characterized by autoantibodies to the acetylcholine receptor (AChR) in most patients or to muscle-specific tyrosine kinase (MuSK) in others and to a growing number of other postsynaptic proteins in smaller subsets. A decrease in the number of functional AChRs or functional interruption of the AChR within the muscle end plate of the neuromuscular junction is caused by pathogenic autoantibodies. Although the molecular immunology underpinning the pathology is well understood, much remains to be learned about the cellular immunology contributing to the production of autoantibodies. This Review documents research concerning the immunopathology of MG, bringing together evidence principally from human studies with an emphasis on the role of adaptive immunity and B cells in particular. Proposed mechanisms for autoimmunity, which take into account that different types of MG may incorporate divergent immunopathology, are offered. Muscle Nerve 57: 172-184, 2018.
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Affiliation(s)
- John S Yi
- Division of Surgical Sciences, Department of Surgery, Duke University Medical Center, Durham, North Carolina, USA
| | - Jeffrey T Guptill
- Department of Neurology, Neuromuscular Section, Duke University Medical Center, Durham, North Carolina, USA
| | - Panos Stathopoulos
- Department of Neurology, Yale School of Medicine, Room 353J, 300 George Street, New Haven, Connecticut, 06511, USA
| | - Richard J Nowak
- Department of Neurology, Yale School of Medicine, Room 353J, 300 George Street, New Haven, Connecticut, 06511, USA
| | - Kevin C O'Connor
- Department of Neurology, Yale School of Medicine, Room 353J, 300 George Street, New Haven, Connecticut, 06511, USA
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13
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Matta B, Song S, Li D, Barnes BJ. Interferon regulatory factor signaling in autoimmune disease. Cytokine 2017; 98:15-26. [PMID: 28283223 DOI: 10.1016/j.cyto.2017.02.006] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Accepted: 02/06/2017] [Indexed: 12/14/2022]
Abstract
Interferon regulatory factors (IRFs) play critical roles in pathogen-induced innate immune responses and the subsequent induction of adaptive immune response. Dysregulation of IRF signaling is therefore thought to contribute to autoimmune disease pathogenesis. Indeed, numerous murine in vivo studies have documented protection from or enhanced susceptibility to particular autoimmune diseases in Irf-deficient mice. What has been lacking, however, is replication of these in vivo observations in primary immune cells from patients with autoimmune disease. These types of studies are essential as the majority of in vivo data support a protective role for IRFs in Irf-deficient mice, yet IRFs are often found to be overexpressed in patient immune cells. A significant body of work is beginning to emerge from both of these areas of study - mouse and human.
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Affiliation(s)
- Bharati Matta
- Center for Autoimmune and Musculoskeletal Diseases, The Feinstein Institute for Medical Research, Manhasset, NY 11030, United States
| | - Su Song
- Center for Autoimmune and Musculoskeletal Diseases, The Feinstein Institute for Medical Research, Manhasset, NY 11030, United States
| | - Dan Li
- Center for Autoimmune and Musculoskeletal Diseases, The Feinstein Institute for Medical Research, Manhasset, NY 11030, United States
| | - Betsy J Barnes
- Center for Autoimmune and Musculoskeletal Diseases, The Feinstein Institute for Medical Research, Manhasset, NY 11030, United States.
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14
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Liu L, Zhou H, Yang J, Sun L. Association of a TNIP1 gene polymorphism with chronic primary immune thrombocytopenia in Chinese population. Meta Gene 2016. [DOI: 10.1016/j.mgene.2016.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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15
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Type I IFNs as biomarkers in rheumatoid arthritis: towards disease profiling and personalized medicine. Clin Sci (Lond) 2014; 128:449-64. [DOI: 10.1042/cs20140554] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
RA (rheumatoid arthritis) is a chronic rheumatic condition hallmarked by joint inflammation and destruction by self-reactive immune responses. Clinical management of RA patients is often hampered by its heterogeneous nature in both clinical presentation and outcome, thereby highlighting the need for new predictive biomarkers. In this sense, several studies have recently revealed a role for type I IFNs (interferons), mainly IFNα, in the pathogenesis of a subset of RA patients. Genetic variants associated with the type I IFN pathway have been linked with RA development, as well as with clinical features. Moreover, a role for IFNα as a trigger for RA development has also been described. Additionally, a type I IFN signature has been associated with the early diagnosis of RA and clinical outcome prediction in patients undergoing biological drug treatment, two challenging issues for decision-making in the clinical setting. Moreover, these cytokines have been related to endothelial damage and vascular repair failure in different autoimmune disorders. Therefore, together with chronic inflammation and disease features, they could probably account for the increased cardiovascular disease morbidity and mortality of these patients. The main aim of the present review is to provide recent evidence supporting a role for type I IFNs in the immunopathology of RA, as well as to analyse their possible role as biomarkers for disease management.
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16
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Cooper NJ, Shtir CJ, Smyth DJ, Guo H, Swafford AD, Zanda M, Hurles ME, Walker NM, Plagnol V, Cooper JD, Howson JMM, Burren OS, Onengut-Gumuscu S, Rich SS, Todd JA. Detection and correction of artefacts in estimation of rare copy number variants and analysis of rare deletions in type 1 diabetes. Hum Mol Genet 2014; 24:1774-90. [PMID: 25424174 PMCID: PMC4381751 DOI: 10.1093/hmg/ddu581] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
Copy number variants (CNVs) have been proposed as a possible source of ‘missing heritability’ in complex human diseases. Two studies of type 1 diabetes (T1D) found null associations with common copy number polymorphisms, but CNVs of low frequency and high penetrance could still play a role. We used the Log-R-ratio intensity data from a dense single nucleotide polymorphism (SNP) array, ImmunoChip, to detect rare CNV deletions (rDELs) and duplications (rDUPs) in 6808 T1D cases, 9954 controls and 2206 families with T1D-affected offspring. Initial analyses detected CNV associations. However, these were shown to be false-positive findings, failing replication with polymerase chain reaction. We developed a pipeline of quality control (QC) tests that were calibrated using systematic testing of sensitivity and specificity. The case–control odds ratios (OR) of CNV burden on T1D risk resulting from this QC pipeline converged on unity, suggesting no global frequency difference in rDELs or rDUPs. There was evidence that deletions could impact T1D risk for a small minority of cases, with enrichment for rDELs longer than 400 kb (OR = 1.57, P = 0.005). There were also 18 de novo rDELs detected in affected offspring but none for unaffected siblings (P = 0.03). No specific CNV regions showed robust evidence for association with T1D, although frequencies were lower than expected (most less than 0.1%), substantially reducing statistical power, which was examined in detail. We present an R-package, plumbCNV, which provides an automated approach for QC and detection of rare CNVs that can facilitate equivalent analyses of large-scale SNP array datasets.
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Affiliation(s)
- Nicholas J Cooper
- JDRF/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, Cambridge Institute for Medical Research, University of Cambridge, Wellcome Trust/MRC Building, Cambridge Biomedical Campus, Cambridge CB2 0XY, UK
| | - Corina J Shtir
- JDRF/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, Cambridge Institute for Medical Research, University of Cambridge, Wellcome Trust/MRC Building, Cambridge Biomedical Campus, Cambridge CB2 0XY, UK
| | - Deborah J Smyth
- JDRF/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, Cambridge Institute for Medical Research, University of Cambridge, Wellcome Trust/MRC Building, Cambridge Biomedical Campus, Cambridge CB2 0XY, UK
| | - Hui Guo
- JDRF/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, Cambridge Institute for Medical Research, University of Cambridge, Wellcome Trust/MRC Building, Cambridge Biomedical Campus, Cambridge CB2 0XY, UK
| | - Austin D Swafford
- JDRF/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, Cambridge Institute for Medical Research, University of Cambridge, Wellcome Trust/MRC Building, Cambridge Biomedical Campus, Cambridge CB2 0XY, UK
| | - Manuela Zanda
- Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK, University College London, Darwin Building, London WC1E 6BT, UK
| | - Matthew E Hurles
- Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - Neil M Walker
- JDRF/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, Cambridge Institute for Medical Research, University of Cambridge, Wellcome Trust/MRC Building, Cambridge Biomedical Campus, Cambridge CB2 0XY, UK
| | - Vincent Plagnol
- University College London, Darwin Building, London WC1E 6BT, UK
| | - Jason D Cooper
- JDRF/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, Cambridge Institute for Medical Research, University of Cambridge, Wellcome Trust/MRC Building, Cambridge Biomedical Campus, Cambridge CB2 0XY, UK
| | - Joanna M M Howson
- JDRF/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, Cambridge Institute for Medical Research, University of Cambridge, Wellcome Trust/MRC Building, Cambridge Biomedical Campus, Cambridge CB2 0XY, UK, Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Worts Causeway, Cambridge CB1 8RN, UK
| | - Oliver S Burren
- JDRF/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, Cambridge Institute for Medical Research, University of Cambridge, Wellcome Trust/MRC Building, Cambridge Biomedical Campus, Cambridge CB2 0XY, UK
| | - Suna Onengut-Gumuscu
- Center for Public Health Genomics, West Complex, University of Virginia, Charlottesville, VA 22908, USA
| | - Stephen S Rich
- Center for Public Health Genomics, West Complex, University of Virginia, Charlottesville, VA 22908, USA
| | - John A Todd
- JDRF/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, Cambridge Institute for Medical Research, University of Cambridge, Wellcome Trust/MRC Building, Cambridge Biomedical Campus, Cambridge CB2 0XY, UK,
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Immunochip SNP array identifies novel genetic variants conferring susceptibility to candidaemia. Nat Commun 2014; 5:4675. [PMID: 25197941 DOI: 10.1038/ncomms5675] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2014] [Accepted: 07/11/2014] [Indexed: 12/12/2022] Open
Abstract
Candidaemia is the fourth most common cause of bloodstream infection, with a high mortality rate of up to 40%. Identification of host genetic factors that confer susceptibility to candidaemia may aid in designing adjunctive immunotherapeutic strategies. Here we hypothesize that variation in immune genes may predispose to candidaemia. We analyse 118,989 single-nucleotide polymorphisms (SNPs) across 186 loci known to be associated with immune-mediated diseases in the largest candidaemia cohort to date of 217 patients of European ancestry and a group of 11,920 controls. We validate the significant associations by comparison with a disease-matched control group. We observe significant association between candidaemia and SNPs in the CD58 (P = 1.97 × 10(-11); odds ratio (OR) = 4.68), LCE4A-C1orf68 (P = 1.98 × 10(-10); OR = 4.25) and TAGAP (P = 1.84 × 10(-8); OR = 2.96) loci. Individuals carrying two or more risk alleles have an increased risk for candidaemia of 19.4-fold compared with individuals carrying no risk allele. We identify three novel genetic risk factors for candidaemia, which we subsequently validate for their role in antifungal host defence.
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Lessard CJ, Li H, Adrianto I, Ice JA, Rasmussen A, Grundahl KM, Kelly JA, Dozmorov MG, Miceli-Richard C, Bowman S, Lester S, Eriksson P, Eloranta ML, Brun JG, Gøransson LG, Harboe E, Guthridge JM, Kaufman KM, Kvarnström M, Jazebi H, Cunninghame Graham DS, Grandits ME, Nazmul-Hossain ANM, Patel K, Adler AJ, Maier-Moore JS, Farris AD, Brennan MT, Lessard JA, Chodosh J, Gopalakrishnan R, Hefner KS, Houston GD, Huang AJW, Hughes PJ, Lewis DM, Radfar L, Rohrer MD, Stone DU, Wren JD, Vyse TJ, Gaffney PM, James JA, Omdal R, Wahren-Herlenius M, Illei GG, Witte T, Jonsson R, Rischmueller M, Rönnblom L, Nordmark G, Ng WF, Mariette X, Anaya JM, Rhodus NL, Segal BM, Scofield RH, Montgomery CG, Harley JB, Sivils KL. Variants at multiple loci implicated in both innate and adaptive immune responses are associated with Sjögren's syndrome. Nat Genet 2013; 45:1284-92. [PMID: 24097067 PMCID: PMC3867192 DOI: 10.1038/ng.2792] [Citation(s) in RCA: 364] [Impact Index Per Article: 33.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2013] [Accepted: 09/11/2013] [Indexed: 12/11/2022]
Abstract
Sjögren’s syndrome is a common autoimmune disease (~0.7% of European Americans) typically presenting as keratoconjunctivitis sicca and xerostomia. In addition to strong association within the HLA region at 6p21 (Pmeta=7.65×10−114), we establish associations with IRF5-TNPO3 (Pmeta=2.73×10−19), STAT4 (Pmeta=6.80×10−15), IL12A (Pmeta =1.17×10−10), FAM167A-BLK (Pmeta=4.97×10−10), DDX6-CXCR5 (Pmeta=1.10×10−8), and TNIP1 (Pmeta=3.30×10−8). Suggestive associations with Pmeta<5×10−5 were observed with 29 regions including TNFAIP3, PTTG1, PRDM1, DGKQ, FCGR2A, IRAK1BP1, ITSN2, and PHIP amongst others. These results highlight the importance of genes involved in both innate and adaptive immunity in Sjögren’s syndrome.
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Affiliation(s)
- Christopher J Lessard
- 1] Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma, USA. [2] Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
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Boutte D, Calhoun VD, Chen J, Sabbineni A, Hutchison K, Liu J. Association of genetic copy number variations at 11 q14.2 with brain regional volume differences in an alcohol use disorder population. Alcohol 2012; 46:519-27. [PMID: 22732324 DOI: 10.1016/j.alcohol.2012.05.002] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2011] [Revised: 04/25/2012] [Accepted: 05/10/2012] [Indexed: 11/25/2022]
Abstract
This study investigates the relationship between genetic copy number variations and brain volume differences in an alcohol use disorder (AUD) population. We hypothesized that copy number variations may influence subject's risk for alcohol use disorders through variations in regional gray and white matter brain volumes. Since genetic influences upon behavior are the result of many complicated interactions we focus on differences in brain volume as a putative intermediate phenotype between genetic variation and behavior. Copy number variation, alcohol use assessments and brain structural magnetic resonance images from 283 subjects, 199 male and 84 females who were enrolled in two AUD studies were obtained and analyzed using a combination of the Freesurfer image analysis suite and independent component analysis. Because brain volume varies by age we compared participant's volume variation with that derived from a control cohort of 75 subjects. In addition we also regressed out the possible brain volume changes induced by long term alcohol consumption. Small cerebral cortex, cerebellar and caudate along with large cerebral white matter and 5th ventricle volumes are shown to be significantly associated with increased AUD severity. When these volume variations are compared with control subject volumes; the variations seen in subjects with AUD are markedly different from normal aging effects. CNVs at 11 q14.2 are marginally (p < 0.05 uncorrected) correlated with such brain volume variations and the correlation holds true after controlling for long-term alcohol consumption; deletion carriers have smaller cerebral cortex, cerebellar, caudate and larger cerebral white matter and 5th ventricle volumes than insertion carriers or subjects with no variation in this region. Similarly, deletion carriers also demonstrate higher AUD severity scores than insertion carriers or subjects with no variation. The results presented here suggest that copy number variation and in particular the variation at chromosome 11 q14.2 may have an impact in brain volume variation, potentially influencing AUD behavior.
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Karlsson R, Graae L, Lekman M, Wang D, Favis R, Axelsson T, Galter D, Belin AC, Paddock S. MAGI1 copy number variation in bipolar affective disorder and schizophrenia. Biol Psychiatry 2012; 71:922-30. [PMID: 22381734 DOI: 10.1016/j.biopsych.2012.01.020] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2011] [Revised: 01/11/2012] [Accepted: 01/12/2012] [Indexed: 12/12/2022]
Abstract
BACKGROUND Bipolar affective disorder (BPAD) and schizophrenia (SZ) are devastating psychiatric disorders that each affect about 1% of the population worldwide. Identification of new drug targets is an important step toward better treatment of these poorly understood diseases. METHODS Genome-wide copy number variation (CNV) was assessed and variants were ranked by co-occurrence with disease in 48 BPAD families. Additional support for involvement of the highest-ranking CNV from the family-based analysis in psychiatric disease was obtained through analysis of 4084 samples with BPAD, SZ, or schizoaffective disorder. Finally, a pooled analysis of in-house and published datasets was carried out including 10,925 cases with BPAD, SZ, or schizoaffective disorder and 16,747 controls. RESULTS In the family-based analysis, an approximately 200 kilobase (kb) deletion in the first intron of the MAGI1 gene was identified that segregated with BPAD in a pedigree (six out of six affected individuals; parametric logarithm of the odds score = 1.14). In the pooled analysis, seven additional insertions or deletions over 100 kb were identified in MAGI1 in cases, while only two such CNV events were identified in the same gene in controls (p = .023; Fisher's exact test). Because earlier work had identified a CNV in the close relative MAGI2 in SZ, the study was extended to include MAGI2. In the pooled analysis of MAGI2, two large deletions were found in cases, and two duplications were detected in controls. CONCLUSIONS Results presented herein provide further evidence for a role of MAGI1 and MAGI2 in BPAD and SZ etiology.
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Affiliation(s)
- Robert Karlsson
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
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21
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Emerging roles for TNIP1 in regulating post-receptor signaling. Cytokine Growth Factor Rev 2012; 23:109-18. [PMID: 22542476 DOI: 10.1016/j.cytogfr.2012.04.002] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2011] [Revised: 03/29/2012] [Accepted: 04/06/2012] [Indexed: 02/08/2023]
Abstract
A vast number of cellular processes and signaling pathways are regulated by various receptors, ranging from transmembrane to nuclear receptors. These receptor-mediated processes are modulated by a diverse set of regulatory proteins. TNFα-induced protein 3-interacting protein 1 is such a protein that inhibits both transduction by transmembrane receptors, such as TNFα-receptor, EGF-R, and TLR, and nuclear receptors' PPAR and RAR activity. These receptors play key roles in regulating inflammation and inflammatory diseases. A growing number of references have implicated TNIP1 through GWAS and expression studies in chronic inflammatory diseases such as psoriasis and rheumatoid arthritis, although TNIP1s exact role has yet been determined. In this review, we aim to integrate the current knowledge of TNIP1s functions with the diseases in which it has been associated to potentially elucidate the role this regulator has in promoting or alleviating these inflammatory diseases.
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Bergboer JGM, Umićević-Mirkov M, Fransen J, den Heijer M, Franke B, van Riel PLCM, Schalkwijk J, Coenen MJH. A replication study of the association between rheumatoid arthritis and deletion of the late cornified envelope genes LCE3B and LCE3C. PLoS One 2012; 7:e32045. [PMID: 22384135 PMCID: PMC3285664 DOI: 10.1371/journal.pone.0032045] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2011] [Accepted: 01/18/2012] [Indexed: 11/29/2022] Open
Abstract
Objective Two recent studies, in a Spanish and a Chinese population, point to an association between rheumatoid arthritis (RA) risk and the deletion of the Late Cornified Envelope (LCE) 3B and 3C genes (LCE3C_LCE3B-del), a known risk factor for psoriasis. We aimed to replicate these studies in a large Dutch cohort. Methods 1039 RA cases and 759 controls were genotyped for LCE3C_LCE3B-del. Association analysis was performed for the complete cohort and after stratification for the serologic markers anti-cyclic citrullinated peptide and rheumatoid factor. A meta-analysis was performed combining our data with the Spanish and Chinese datasets, resulting in an analysis including 2466 RA cases and 2438 controls. Results In the Dutch cohort we did not observe a significant association of LCE3C_LCE3B-del (p = 0.093) with RA risk. A stratified analysis for the serologic positive and negative group did not show an association between the genetic variant and disease risk, either. The meta-analysis, however, confirmed a significant association (p<0.0001, OR = 1.31, 95% confidence interval 1.16–1.47). Conclusion Our meta-analysis confirms the association of the LCE3 deletion with RA, suggesting that LCE3C_LCE3B-del is a common risk factor for (auto)immune diseases.
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Affiliation(s)
- Judith G. M. Bergboer
- Department of Dermatology, Radboud University Nijmegen Medical Centre, Nijmegen Centre for Molecular Life Sciences, Nijmegen, The Netherlands
| | - Maša Umićević-Mirkov
- Department of Human Genetics, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Jaap Fransen
- Department of Rheumatology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Martin den Heijer
- Department of Endocrinology and Department of Epidemiology and Biostatistics, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Barbara Franke
- Department of Human Genetics, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Piet L. C. M. van Riel
- Department of Rheumatology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Joost Schalkwijk
- Department of Dermatology, Radboud University Nijmegen Medical Centre, Nijmegen Centre for Molecular Life Sciences, Nijmegen, The Netherlands
| | - Marieke J. H. Coenen
- Department of Human Genetics, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
- * E-mail:
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