1
|
Biedka S, Alkam D, Washam CL, Yablonska S, Storey A, Byrum SD, Minden JS. One-pot method for preparing DNA, RNA, and protein for multiomics analysis. Commun Biol 2024; 7:324. [PMID: 38485785 PMCID: PMC10940598 DOI: 10.1038/s42003-024-05993-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 02/29/2024] [Indexed: 03/18/2024] Open
Abstract
Typical multiomics studies employ separate methods for DNA, RNA, and protein sample preparation, which is labor intensive, costly, and prone to sampling bias. We describe a method for preparing high-quality, sequencing-ready DNA and RNA, and either intact proteins or mass-spectrometry-ready peptides for whole proteome analysis from a single sample. This method utilizes a reversible protein tagging scheme to covalently link all proteins in a lysate to a bead-based matrix and nucleic acid precipitation and selective solubilization to yield separate pools of protein and nucleic acids. We demonstrate the utility of this method to compare the genomes, transcriptomes, and proteomes of four triple-negative breast cancer cell lines with different degrees of malignancy. These data show the involvement of both RNA and associated proteins, and protein-only dependent pathways that distinguish these cell lines. We also demonstrate the utility of this multiomics workflow for tissue analysis using mouse brain, liver, and lung tissue.
Collapse
Affiliation(s)
| | - Duah Alkam
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Charity L Washam
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | | | - Aaron Storey
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Stephanie D Byrum
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
- Arkansas Children's Research Institute, Little Rock, AR, 72202, USA
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | | |
Collapse
|
2
|
Li X, Ma Y, Li G, Jin G, Xu L, Li Y, Wei P, Zhang L. Leprosy: treatment, prevention, immune response and gene function. Front Immunol 2024; 15:1298749. [PMID: 38440733 PMCID: PMC10909994 DOI: 10.3389/fimmu.2024.1298749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 02/05/2024] [Indexed: 03/06/2024] Open
Abstract
Since the leprosy cases have fallen dramatically, the incidence of leprosy has remained stable over the past years, indicating that multidrug therapy seems unable to eradicate leprosy. More seriously, the emergence of rifampicin-resistant strains also affects the effectiveness of treatment. Immunoprophylaxis was mainly carried out through vaccination with the BCG but also included vaccines such as LepVax and MiP. Meanwhile, it is well known that the infection and pathogenesis largely depend on the host's genetic background and immunity, with the onset of the disease being genetically regulated. The immune process heavily influences the clinical course of the disease. However, the impact of immune processes and genetic regulation of leprosy on pathogenesis and immunological levels is largely unknown. Therefore, we summarize the latest research progress in leprosy treatment, prevention, immunity and gene function. The comprehensive research in these areas will help elucidate the pathogenesis of leprosy and provide a basis for developing leprosy elimination strategies.
Collapse
Affiliation(s)
- Xiang Li
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Yun Ma
- Chronic Infectious Disease Control Section, Nantong Center for Disease Control and Prevention, Nantong, China
| | - Guoli Li
- Department of Chronic Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Guangjie Jin
- Department of Chronic Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Li Xu
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Yunhui Li
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Pingmin Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Lianhua Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
- Department of Chronic Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| |
Collapse
|
3
|
Chong AY, Brenner N, Jimenez-Kaufmann A, Cortes A, Hill M, Littlejohns TJ, Gilchrist JJ, Fairfax BP, Knight JC, Hodel F, Fellay J, McVean G, Moreno-Estrada A, Waterboer T, Hill AVS, Mentzer AJ. A common NFKB1 variant detected through antibody analysis in UK Biobank predicts risk of infection and allergy. Am J Hum Genet 2024; 111:295-308. [PMID: 38232728 PMCID: PMC10870136 DOI: 10.1016/j.ajhg.2023.12.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 12/07/2023] [Accepted: 12/10/2023] [Indexed: 01/19/2024] Open
Abstract
Infectious agents contribute significantly to the global burden of diseases through both acute infection and their chronic sequelae. We leveraged the UK Biobank to identify genetic loci that influence humoral immune response to multiple infections. From 45 genome-wide association studies in 9,611 participants from UK Biobank, we identified NFKB1 as a locus associated with quantitative antibody responses to multiple pathogens, including those from the herpes, retro-, and polyoma-virus families. An insertion-deletion variant thought to affect NFKB1 expression (rs28362491), was mapped as the likely causal variant and could play a key role in regulation of the immune response. Using 121 infection- and inflammation-related traits in 487,297 UK Biobank participants, we show that the deletion allele was associated with an increased risk of infection from diverse pathogens but had a protective effect against allergic disease. We propose that altered expression of NFKB1, as a result of the deletion, modulates hematopoietic pathways and likely impacts cell survival, antibody production, and inflammation. Taken together, we show that disruptions to the tightly regulated immune processes may tip the balance between exacerbated immune responses and allergy, or increased risk of infection and impaired resolution of inflammation.
Collapse
Affiliation(s)
- Amanda Y Chong
- The Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
| | - Nicole Brenner
- Division of Infections and Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Andres Jimenez-Kaufmann
- Advanced Genomics Unit, National Laboratory of Genomics for Biodiversity (LANGEBIO), CINVESTAV, Irapuato, Mexico
| | - Adrian Cortes
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Michael Hill
- MRC-Population Health Research Unit, University of Oxford, Oxford, UK
| | | | - James J Gilchrist
- The Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK; Department of Paediatrics, University of Oxford, Oxford, UK
| | | | - Julian C Knight
- The Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Flavia Hodel
- Global Health Institute, School of Life Sciences, EPFL, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Jacques Fellay
- Global Health Institute, School of Life Sciences, EPFL, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland; Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Gil McVean
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Andres Moreno-Estrada
- Advanced Genomics Unit, National Laboratory of Genomics for Biodiversity (LANGEBIO), CINVESTAV, Irapuato, Mexico
| | - Tim Waterboer
- Division of Infections and Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Adrian V S Hill
- The Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK; The Jenner Institute, University of Oxford, Oxford, UK
| | - Alexander J Mentzer
- The Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
| |
Collapse
|
4
|
Wang T, Ren Y, Yin X, Sun Y. Editorial: Genetics of inflammatory and immune diseases. Front Genet 2024; 14:1355794. [PMID: 38259613 PMCID: PMC10801178 DOI: 10.3389/fgene.2023.1355794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 12/27/2023] [Indexed: 01/24/2024] Open
Affiliation(s)
- Tianyu Wang
- Hospital for Skin Diseases, Shandong First Medical University, Jinan, Shandong, China
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Yunqing Ren
- Department of Dermatology, Children’s Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xianyong Yin
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, United States
| | - Yonghu Sun
- Hospital for Skin Diseases, Shandong First Medical University, Jinan, Shandong, China
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
| |
Collapse
|
5
|
Santana-da-Silva MN, Sena-dos-Santos C, Cáceres-Durán MÁ, de Souza FG, Gobbo AR, Pinto P, Salgado CG, dos Santos SEB. ncRNAs: an unexplored cellular defense mechanism in leprosy. Front Genet 2023; 14:1295586. [PMID: 38116294 PMCID: PMC10729009 DOI: 10.3389/fgene.2023.1295586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 11/24/2023] [Indexed: 12/21/2023] Open
Abstract
Leprosy is an infectious disease primarily caused by the obligate intracellular parasite Mycobacterium leprae. Although it has been considered eradicated in many countries, leprosy continues to be a health issue in developing nations. Besides the social stigma associated with it, individuals affected by leprosy may experience nerve damage leading to physical disabilities if the disease is not properly treated or early diagnosed. Leprosy is recognized as a complex disease wherein socioenvironmental factors, immune response, and host genetics interact to contribute to its development. Recently, a new field of study called epigenetics has emerged, revealing that the immune response and other mechanisms related to infectious diseases can be influenced by noncoding RNAs. This review aims to summarize the significant advancements concerning non-coding RNAs in leprosy, discussing the key perspectives on this novel approach to comprehending the pathophysiology of the disease and identifying molecular markers. In our view, investigations on non-coding RNAs in leprosy hold promise and warrant increased attention from researches in this field.
Collapse
Affiliation(s)
- Mayara Natália Santana-da-Silva
- Laboratório de Genética Humana e Médica, Instituto de Ciências Biológicas (ICB), Universidade Federal do Pará (UFPA), Belém, Brazil
- Laboratório de Imunologia, Seção de Virologia (SAVIR), Instituto Evandro Chagas, Ananindeua, Brazil
| | - Camille Sena-dos-Santos
- Laboratório de Genética Humana e Médica, Instituto de Ciências Biológicas (ICB), Universidade Federal do Pará (UFPA), Belém, Brazil
| | - Miguel Ángel Cáceres-Durán
- Laboratório de Genética Humana e Médica, Instituto de Ciências Biológicas (ICB), Universidade Federal do Pará (UFPA), Belém, Brazil
| | - Felipe Gouvea de Souza
- Laboratório de Genética Humana e Médica, Instituto de Ciências Biológicas (ICB), Universidade Federal do Pará (UFPA), Belém, Brazil
| | - Angelica Rita Gobbo
- Laboratório de Dermato-Imunologia, Instituto de Ciências Biológicas (ICB), Universidade Federal do Pará (UFPA), Belém, Brazil
| | - Pablo Pinto
- Laboratório de Genética Humana e Médica, Instituto de Ciências Biológicas (ICB), Universidade Federal do Pará (UFPA), Belém, Brazil
- Laboratório de Dermato-Imunologia, Instituto de Ciências Biológicas (ICB), Universidade Federal do Pará (UFPA), Belém, Brazil
| | - Claudio Guedes Salgado
- Laboratório de Dermato-Imunologia, Instituto de Ciências Biológicas (ICB), Universidade Federal do Pará (UFPA), Belém, Brazil
| | - Sidney Emanuel Batista dos Santos
- Laboratório de Genética Humana e Médica, Instituto de Ciências Biológicas (ICB), Universidade Federal do Pará (UFPA), Belém, Brazil
- Laboratório de Dermato-Imunologia, Instituto de Ciências Biológicas (ICB), Universidade Federal do Pará (UFPA), Belém, Brazil
| |
Collapse
|
6
|
Wang Z, Liu T, Li W, Yu G, Mi Z, Wang C, Liao X, Huai P, Chu T, Liu D, Sun L, Fu X, Sun Y, Wang H, Wang N, Liu J, Liu H, Zhang F. Genome-wide meta-analysis and fine-mapping prioritize potential causal variants and genes related to leprosy. MedComm (Beijing) 2023; 4:e415. [PMID: 38020709 PMCID: PMC10674079 DOI: 10.1002/mco2.415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 09/05/2023] [Accepted: 09/22/2023] [Indexed: 12/01/2023] Open
Abstract
To date, genome-wide association studies (GWASs) have discovered 35 susceptible loci of leprosy; however, the cumulative effects of these loci can only partially explain the overall risk of leprosy, and the causal variants and genes within these loci remain unknown. Here, we conducted out new GWASs in two independent cohorts of 5007 cases and 4579 controls and then a meta-analysis in these newly generated and multiple previously published (2277 cases and 3159 controls) datasets were performed. Three novel and 15 previously reported risk loci were identified from these datasets, increasing the known leprosy risk loci of explained genetic heritability from 23.0 to 38.5%. A comprehensive fine-mapping analysis was conducted, and 19 causal variants and 14 causal genes were identified. Specifically, manual checking of epigenomic information from the Epimap database revealed that the causal variants were mainly located within the immune-relevant or immune-specific regulatory elements. Furthermore, by using gene-set, tissue, and cell-type enrichment analyses, we highlighted the key roles of immune-related tissues and cells and implicated the PD-1 signaling pathways in the pathogenetic mechanism of leprosy. Collectively, our study identified candidate causal variants and elucidated the potential regulatory and coding mechanisms for genes associated with leprosy.
Collapse
Affiliation(s)
- Zhenzhen Wang
- Department of BiostatisticsSchool of Public HealthCheeloo College of MedicineShandong UniversityJinanShandongChina
- Shandong Provincial Key Lab for Dermatovenereology, Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical SciencesJinanShandongChina
| | - Tingting Liu
- Shandong Provincial Key Lab for Dermatovenereology, Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical SciencesJinanShandongChina
| | - Wenchao Li
- Shandong Provincial Key Lab for Dermatovenereology, Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical SciencesJinanShandongChina
| | - Gongqi Yu
- Shandong Provincial Key Lab for Dermatovenereology, Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical SciencesJinanShandongChina
| | - Zihao Mi
- Shandong Provincial Key Lab for Dermatovenereology, Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical SciencesJinanShandongChina
| | - Chuan Wang
- Shandong Provincial Key Lab for Dermatovenereology, Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical SciencesJinanShandongChina
| | - Xiaojie Liao
- Shandong Provincial Key Lab for Dermatovenereology, Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical SciencesJinanShandongChina
| | - Pengcheng Huai
- Shandong Provincial Key Lab for Dermatovenereology, Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical SciencesJinanShandongChina
| | - Tongsheng Chu
- Shandong Provincial Key Lab for Dermatovenereology, Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical SciencesJinanShandongChina
| | - Dianchang Liu
- Shandong Provincial Key Lab for Dermatovenereology, Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical SciencesJinanShandongChina
| | - Lele Sun
- Shandong Provincial Key Lab for Dermatovenereology, Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical SciencesJinanShandongChina
| | - Xi'an Fu
- Shandong Provincial Key Lab for Dermatovenereology, Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical SciencesJinanShandongChina
| | - Yonghu Sun
- Shandong Provincial Key Lab for Dermatovenereology, Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical SciencesJinanShandongChina
| | - Honglei Wang
- Shandong Provincial Key Lab for Dermatovenereology, Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical SciencesJinanShandongChina
| | - Na Wang
- Shandong Provincial Key Lab for Dermatovenereology, Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical SciencesJinanShandongChina
| | - Jianjun Liu
- Department of Human Genetics, Genome Institute of SingaporeSingaporeSingapore
| | - Hong Liu
- Shandong Provincial Key Lab for Dermatovenereology, Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical SciencesJinanShandongChina
| | - Furen Zhang
- Shandong Provincial Key Lab for Dermatovenereology, Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical SciencesJinanShandongChina
| |
Collapse
|
7
|
Chaudhary S, Appadurai MI, Maurya SK, Nallasamy P, Marimuthu S, Shah A, Atri P, Ramakanth CV, Lele SM, Seshacharyulu P, Ponnusamy MP, Nasser MW, Ganti AK, Batra SK, Lakshmanan I. MUC16 promotes triple-negative breast cancer lung metastasis by modulating RNA-binding protein ELAVL1/HUR. Breast Cancer Res 2023; 25:25. [PMID: 36918912 PMCID: PMC10012760 DOI: 10.1186/s13058-023-01630-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 03/01/2023] [Indexed: 03/16/2023] Open
Abstract
BACKGROUND Triple-negative breast cancer (TNBC) is highly aggressive with an increased metastatic incidence compared to other breast cancer subtypes. However, due to the absence of clinically reliable biomarkers and targeted therapy in TNBC, outcomes are suboptimal. Hence, there is an urgent need to understand biological mechanisms that lead to identifying novel therapeutic targets for managing metastatic TNBC. METHODS The clinical significance of MUC16 and ELAVL1 or Hu antigen R (HuR) was examined using breast cancer TCGA data. Microarray was performed on MUC16 knockdown and scramble TNBC cells and MUC16-associated genes were identified using RNA immunoprecipitation and metastatic cDNA array. Metastatic properties of MUC16 were evaluated using tail vein experiment. MUC16 and HuR downstream pathways were confirmed by ectopic overexpression of MUC16-carboxyl-terminal (MUC16-Cter), HuR and cMyc as well as HuR inhibitors (MS-444 and CMLD-2) in TNBC cells. RESULTS MUC16 was highly expressed in TNBC and correlated with its target HuR. Depletion of MUC16 showed decreased invasion, migration, and colony formation abilities of human and mouse TNBC cells. Mice injected with MUC16 depleted cells were less likely to develop lung metastasis (P = 0.001). Notably, MUC16 and HuR were highly expressed in the lung tropic TNBC cells and lung metastases. Mechanistically, we identified cMyc as a HuR target in TNBC using RNA immunoprecipitation and metastatic cDNA array. Furthermore, MUC16 knockdown and pharmacological inhibition of HuR (MS-444 and CMLD-2) in TNBC cells showed a reduction in cMyc expression. MUC16-Cter or HuR overexpression models indicated MUC16/HuR/cMyc axis in TNBC cell migration. CONCLUSIONS Our study identified MUC16 as a TNBC lung metastasis promoter that acts through HuR/cMyc axis. This study will form the basis of future studies to evaluate the targeting of both MUC16 and HuR in TNBC patients.
Collapse
Affiliation(s)
- Sanjib Chaudhary
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198-5870, USA
| | - Muthamil Iniyan Appadurai
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198-5870, USA
| | - Shailendra Kumar Maurya
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198-5870, USA
| | - Palanisamy Nallasamy
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198-5870, USA
| | - Saravanakumar Marimuthu
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198-5870, USA
| | - Ashu Shah
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198-5870, USA
| | - Pranita Atri
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198-5870, USA
| | - Chirravuri Venkata Ramakanth
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198-5870, USA
| | - Subodh M Lele
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE, 68198-5900, USA
| | - Parthasarathy Seshacharyulu
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198-5870, USA
| | - Moorthy P Ponnusamy
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198-5870, USA
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE, 68198-5900, USA
| | - Mohd W Nasser
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198-5870, USA
| | - Apar Kishor Ganti
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198-5870, USA
- Division of Oncology-Hematology, Department of Internal Medicine, VA Nebraska Western Iowa Health Care System, University of Nebraska Medical Center, Omaha, NE, 68105-1850, USA
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68198-5870, USA
| | - Surinder K Batra
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198-5870, USA.
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE, 68198-5900, USA.
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68198-5870, USA.
| | - Imayavaramban Lakshmanan
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198-5870, USA.
| |
Collapse
|
8
|
Abstract
Since the identification of sickle cell trait as a heritable form of resistance to malaria, candidate gene studies, linkage analysis paired with sequencing, and genome-wide association (GWA) studies have revealed many examples of genetic resistance and susceptibility to infectious diseases. GWA studies enabled the identification of many common variants associated with small shifts in susceptibility to infectious diseases. This is exemplified by multiple loci associated with leprosy, malaria, HIV, tuberculosis, and coronavirus disease 2019 (COVID-19), which illuminate genetic architecture and implicate pathways underlying pathophysiology. Despite these successes, most of the heritability of infectious diseases remains to be explained. As the field advances, current limitations may be overcome by applying methodological innovations such as cellular GWA studies and phenome-wide association (PheWA) studies as well as by improving methodological rigor with more precise case definitions, deeper phenotyping, increased cohort diversity, and functional validation of candidate loci in the laboratory or human challenge studies.
Collapse
Affiliation(s)
- Kyle D Gibbs
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, North Carolina, USA;
| | - Benjamin H Schott
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, North Carolina, USA; .,Duke University Program in Genetics and Genomics, Duke University, Durham, North Carolina, USA
| | - Dennis C Ko
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, North Carolina, USA; .,Duke University Program in Genetics and Genomics, Duke University, Durham, North Carolina, USA.,Division of Infectious Diseases, Department of Medicine, School of Medicine, Duke University, Durham, North Carolina, USA
| |
Collapse
|
9
|
Gilchrist JJ, Auckland K, Parks T, Mentzer AJ, Goldblatt L, Naranbhai V, Band G, Rockett KA, Toure OB, Konate S, Sissoko S, Djimdé AA, Thera MA, Doumbo OK, Sow S, Floyd S, Pönnighaus JM, Warndorff DK, Crampin AC, Fine PEM, Fairfax BP, Hill AVS. Genome-wide association study of leprosy in Malawi and Mali. PLoS Pathog 2022; 18:e1010312. [PMID: 36121873 PMCID: PMC9624411 DOI: 10.1371/journal.ppat.1010312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 11/01/2022] [Accepted: 07/12/2022] [Indexed: 11/28/2022] Open
Abstract
Leprosy is a chronic infection of the skin and peripheral nerves caused by Mycobacterium leprae. Despite recent improvements in disease control, leprosy remains an important cause of infectious disability globally. Large-scale genetic association studies in Chinese, Vietnamese and Indian populations have identified over 30 susceptibility loci for leprosy. There is a significant burden of leprosy in Africa, however it is uncertain whether the findings of published genetic association studies are generalizable to African populations. To address this, we conducted a genome-wide association study (GWAS) of leprosy in Malawian (327 cases, 436 controls) and Malian (247 cases, 368 controls) individuals. In that analysis, we replicated four risk loci previously reported in China, Vietnam and India; MHC Class I and II, LACC1 and SLC29A3. We further identified a novel leprosy susceptibility locus at 10q24 (rs2015583; combined p = 8.81 × 10-9; OR = 0.51 [95% CI 0.40 - 0.64]). Using publicly-available data we characterise regulatory activity at this locus, identifying ACTR1A as a candidate mediator of leprosy risk. This locus shows evidence of recent positive selection and demonstrates pleiotropy with established risk loci for inflammatory bowel disease and childhood-onset asthma. A shared genetic architecture for leprosy and inflammatory bowel disease has been previously described. We expand on this, strengthening the hypothesis that selection pressure driven by leprosy has shaped the evolution of autoimmune and atopic disease in modern populations. More broadly, our data highlights the importance of defining the genetic architecture of disease across genetically diverse populations, and that disease insights derived from GWAS in one population may not translate to all affected populations.
Collapse
Affiliation(s)
- James J. Gilchrist
- Department of Paediatrics, University of Oxford, Oxford, United Kingdom
- MRC–Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- * E-mail: (JJG); (AVSH)
| | - Kathryn Auckland
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Tom Parks
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Department of Infectious Diseases, Imperial College London, London, United Kingdom
| | - Alexander J. Mentzer
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | | | - Vivek Naranbhai
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Gavin Band
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Kirk A. Rockett
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Ousmane B. Toure
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | - Salimata Konate
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | - Sibiri Sissoko
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | - Abdoulaye A. Djimdé
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | - Mahamadou A. Thera
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | - Ogobara K. Doumbo
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | - Samba Sow
- Center for Vaccine Development, Bamako, Mali
| | - Sian Floyd
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Jörg M. Pönnighaus
- Malawi Epidemiology and Intervention Research Unit (formerly Karonga Prevention Study), Chilumba, Malawi
| | - David K. Warndorff
- Malawi Epidemiology and Intervention Research Unit (formerly Karonga Prevention Study), Chilumba, Malawi
| | - Amelia C. Crampin
- Malawi Epidemiology and Intervention Research Unit (formerly Karonga Prevention Study), Chilumba, Malawi
| | - Paul E. M. Fine
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Benjamin P. Fairfax
- MRC–Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
| | - Adrian V. S. Hill
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Jenner Institute, University of Oxford, Oxford, United Kingdom
- * E-mail: (JJG); (AVSH)
| |
Collapse
|
10
|
Li Z, Wang Y, Fan W, Zhang C, Liu H, Zhang R, Cao L, Zhen Q, Chen W, Yu Y, Li B, Mao Y, Bai Y, Wang D, Luo S, Li Y, Qin Q, Ge H, Yong L, Hu X, Yu Y, Sun L. Human Leukocyte Antigen Fine-Mapping and Correlation Analysis of Han and Minority Leprosy Patients in Southern China. Front Genet 2022; 13:888361. [PMID: 35769990 PMCID: PMC9234480 DOI: 10.3389/fgene.2022.888361] [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: 03/05/2022] [Accepted: 05/02/2022] [Indexed: 11/13/2022] Open
Abstract
Backround: Leprosy is very prevalent in many populations around the world, which is well known that both alleles for human leukocyte antigen (HLA) as well as single nucleotide polymorphisms (SNPs) in the HLA region are common in leprosy patients. Previous studies have identified leprosy-associated susceptibility genes that explain only part of disease risk and heritability. In view of the complicated characteristics of the major histocompatibility complex (MHC) region, this study aimed to explore the development and variation of HLA in leprosy and its possible mechanism.Methods: Previous genome-wide association data were extracted from Han and minority populations in southern China for HLA fine-mapping studies. Insertion and deletion (INDEL), SNP, and copy number variation (CNV) imputation were determined by using the Thousand People Database (1KGP Phase 3 Dataset) as a reference panel. The HAN-MHC database was used to input the HLA classical alleles and amino acids in the MHC region, and further step-regression analysis was performed to analyze independent variation signals associated with leprosy.Results: The most significant locus rs75324027 (the same locus as rs602875 in the HLA-DR region) [p = 7.49E-09, OR= 0.62, 95%,CI: 0.52–0.73] in the intergene region between HLA-DQA1 and HLA-DRB1 was related with leprosy in M-S(Han leprosy patients in south China)disease. In M-SM (Leprosy patients of ethnic minorities in south China)disease, one of the most significant loci of the HLA-DQB1 gene was 6-32626438-A-T (p = 4.49E-08, OR = 0.36, 95%,CI: 0.25–0.52). Therefore, rs75324027 is a locus in M-S disease, and 6-32626438-a-T may be a new locus in M-SM disease. The interaction between 6 and 32626438-A-T and RS75324027 was analyzed, and A significant interaction relationship was found. In the optimal model, the accuracy of prediction was 0.5974, cross-validation Consistency:10, p = 0.0107.Conclusion: In conclusion, this study is the first to assess the association between HLA and leprosy susceptibility in Han and other minority populations in southern China using the Thousand Population database and the Han MHC database. In addition, our analysis validated the previously reported locus rs602875 in the HLA-DR region and for the first time identified an unreported independent locus in leprosy among ethnic minorities in southern China.
Collapse
Affiliation(s)
- Zhuo Li
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yirui Wang
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Wencheng Fan
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Chang Zhang
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Hao Liu
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Ruixue Zhang
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Lu Cao
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Qi Zhen
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Weiwei Chen
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yafen Yu
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Bao Li
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yiwen Mao
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yuanming Bai
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Daiyue Wang
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Sihan Luo
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yuanyuan Li
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Qin Qin
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Huiyao Ge
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Liang Yong
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Xia Hu
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yanxia Yu
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Liangdan Sun
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China
- Institute of Dermatology, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
- *Correspondence: Liangdan Sun,
| |
Collapse
|
11
|
Schmidt A, M. Groh A, S. Frick J, Vehreschild MJGT, U. Ludwig K. Genetic Predisposition and the Variable Course of Infectious Diseases. DEUTSCHES ARZTEBLATT INTERNATIONAL 2022; 119:117-123. [PMID: 35101171 PMCID: PMC9160423 DOI: 10.3238/arztebl.m2022.0105] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 08/31/2021] [Accepted: 01/11/2022] [Indexed: 05/07/2023]
Abstract
BACKGROUND Contact with a pathogen is followed by variable courses of infectious disease, which are only partly explicable by classical risk factors. The susceptibility to infection is variable, as is the course of disease after infection. In this review, we discuss the extent to which this variation is due to genetic factors of the affected individual (the host). METHODS Selective review of the literature on host genetics in infectious disease, with special attention to the pathogens SARSCoV- 2, influenza viruses, Mycobacterium tuberculosis, and human immunodeficiency virus (HIV). RESULTS Genetic variants of the host contribute to the pathogenesis of infectious diseases. For example, in HIV infection, a relatively common variant leading to a loss of function of the HIV co-receptor CCR5 affects the course of the disease, as do variants in genes of the major histocompatibility complex (MHC) region. Rare monogenic variants of the interferon immune response system contribute to severe disease courses in COVID-19 and influenza (type I interferon in these two cases) and in tuberculosis (type II interferon). An estimated 1.8% of life-threatening courses of COVID-19 in men under age 60 are caused by a deficiency of toll-like receptor 7. The scientific understanding of host genetic factors has already been beneficial to the development of effective drugs. In a small number of cases, genetic information has also been used for individual therapeutic decision-making and for the identification of persons at elevated risk. CONCLUSION A comprehensive understanding of host genetics can improve the care of patients with infectious diseases. Until the present, the clinical utility of host genetics has been limited to rare cases; in the future, polygenic risk scores summarizing the relevant genetic variants in each patient will enable a wider benefit. To make this possible, multicenter studies are needed that will systematically integrate clinical and genetic data.
Collapse
Affiliation(s)
- Axel Schmidt
- Institute of Human Genetics, Medical Faculty of the University of Bonn & Bonn University Hospital
| | - Ana M. Groh
- Medical Department II, Infectiology, University HospitalFrankfurt, Goethe University Frankfurt
| | - Julia S. Frick
- Interfaculty Institute for Microbiology and Infection Medicine, University Hospital and Faculty of Medicine Tübingen
- MVZ Laboratory Ludwigsburg GbR
| | | | - Kerstin U. Ludwig
- Institute of Human Genetics, Medical Faculty of the University of Bonn & Bonn University Hospital
- * Institut für Humangenetik, Department of Genomics Universitätsklinikum Bonn Venusberg-Campus 1, Gebäude 76 53127 Bonn, Germany
| |
Collapse
|
12
|
Linard M, Ravier A, Mougué L, Grgurina I, Boutillier AL, Foubert-Samier A, Blanc F, Helmer C. Infectious Agents as Potential Drivers of α-Synucleinopathies. Mov Disord 2022; 37:464-477. [PMID: 35040520 DOI: 10.1002/mds.28925] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 12/10/2021] [Accepted: 12/27/2021] [Indexed: 12/16/2022] Open
Abstract
α-synucleinopathies, encompassing Parkinson's disease, dementia with Lewy bodies, and multiple system atrophy, are devastating neurodegenerative diseases for which available therapeutic options are scarce, mostly because of our limited understanding of their pathophysiology. Although these pathologies are attributed to an intracellular accumulation of the α-synuclein protein in the nervous system with subsequent neuronal loss, the trigger(s) of this accumulation is/are not clearly identified. Among the existing hypotheses, interest in the hypothesis advocating the involvement of infectious agents in the onset of these diseases is renewed. In this article, we aimed to review the ongoing relevant factors favoring and opposing this hypothesis, focusing on (1) the potential antimicrobial role of α-synuclein, (2) potential entry points of pathogens in regard to early symptoms of diverse α-synucleinopathies, (3) pre-existing literature reviews assessing potential associations between infectious agents and Parkinson's disease, (4) original studies assessing these associations for dementia with Lewy bodies and multiple system atrophy (identified through a systematic literature review), and finally (5) potential susceptibility factors modulating the effects of infectious agents on the nervous system. © 2022 International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Morgane Linard
- University of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR U1219, Bordeaux, France
| | - Alix Ravier
- CM2R (Memory Resource and Research Centre), Geriatrics Department, University Hospitals of Strasbourg, Strasbourg, France
| | - Louisa Mougué
- Cognitive-Behavioral Unit and Memory Consultations, Hospital of Sens, Sens, France
| | - Iris Grgurina
- University of Strasbourg, UMR7364 CNRS, LNCA, Strasbourg, France
| | | | - Alexandra Foubert-Samier
- University of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR U1219, Bordeaux, France.,French Reference Centre for MSA, University Hospital of Bordeaux, Bordeaux, France
| | - Frédéric Blanc
- CM2R (Memory Resource and Research Centre), Geriatrics Department, University Hospitals of Strasbourg, Strasbourg, France.,ICube Laboratory and FMTS (Fédération de Médecine Translationnelle de Strasbourg), Team IMIS, University of Strasbourg, Strasbourg, France
| | - Catherine Helmer
- University of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR U1219, Bordeaux, France
| |
Collapse
|
13
|
Zhang R, Cao L, Chen W, Ge H, Hu X, Li Z, Wang Y, Fan W, Yong L, Yu Y, Mao Y, Zhen Q, Liu H, Zhang F, Sun L. Fine-Mapping of the Major Histocompatibility Complex Region Linked to Leprosy in Northern China. Front Genet 2022; 12:768259. [PMID: 34976012 PMCID: PMC8716717 DOI: 10.3389/fgene.2021.768259] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 11/29/2021] [Indexed: 01/31/2023] Open
Abstract
Background: Leprosy is a chronic infectious skin and neurological disease, and genetic background is considered to be one of the major factors of risk. The major histocompatibility complex (MHC) region not only affects susceptibility to leprosy but also its development and outcome. Given the complex traits of the MHC region, variants and the potential mechanism by which HLA influences leprosy development need to be further explored. Methods: We extracted previous genome-wide association study data from the Northern Han Chinese population to perform HLA fine-mapping. Using the 1,000 Genome Project Phase 3 dataset as the reference panel, single-nucleotide polymorphisms (SNP), insertion and deletion (INDEL) and copy number variant (CNV) imputation were carried out. HLA classical alleles and amino acids in the MHC region were imputed using the HAN-MHC database. Further stepwise regression analysis was conducted to analyze independent signals of variants related to leprosy. Results: We identified four independent variants: esv3608598, rs7754498, rs3130781 and rs144388449. Among them, esv3608598 is a CNV and the first HLA CNV associated with leprosy risk. SNP annotation using RegulomeDB, HaploReg, and rVarBase showed that three SNPs are likely to affect the pathogenesis of leprosy. Conclusion: In summary, this is the first study to assess the association between HLA CNV and leprosy susceptibility in a Northern Han Chinese population. By fine mapping of the MHC region in this population, our findings provide evidence for the contribution of HLA to leprosy susceptibility.
Collapse
Affiliation(s)
- Ruixue Zhang
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Lu Cao
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Weiwei Chen
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Huiyao Ge
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Xia Hu
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Zhuo Li
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yirui Wang
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Wencheng Fan
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Liang Yong
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yafen Yu
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yiwen Mao
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Qi Zhen
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Hong Liu
- Shandong Provincial Hospital for Skin Diseases and Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Furen Zhang
- Shandong Provincial Hospital for Skin Diseases and Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Liangdan Sun
- Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.,Institute of Dermatology, Anhui Medical University, Hefei, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China.,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| |
Collapse
|
14
|
OUP accepted manuscript. Hum Mol Genet 2022; 31:3934-3944. [DOI: 10.1093/hmg/ddac101] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 04/27/2022] [Accepted: 04/27/2022] [Indexed: 11/14/2022] Open
|
15
|
Long SY, Wang L, Jiang HQ, Shi Y, Zhang WY, Xiong JS, Sun PW, Chen YQ, Mei YM, Pan C, Ge G, Wang ZZ, Wu ZW, Yu MW, Wang HS. Single-Nucleotide Polymorphisms Related to Leprosy Risk and Clinical Phenotypes Among Chinese Population. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2021; 14:813-821. [PMID: 34285550 PMCID: PMC8285297 DOI: 10.2147/pgpm.s314861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 06/16/2021] [Indexed: 11/30/2022]
Abstract
Background Genome-wide association studies (GWASs) have identified some immune-related single-nucleotide polymorphisms (SNPs) to be associated with leprosy. Methods This study investigated the association of 17 SNPs based on previously published GWAS studies with susceptibility to leprosy, different polar forms and immune states of leprosy in a case–control study from southwestern China, including 1344 leprosy patients and 2732 household contacts (HHCs) (1908 relatives and 824 genetically unrelated contact individuals). The differences of allele distributions were analyzed using chi-squared analysis and logistic regression. Results After adjusting covariate factors, rs780668 and rs3764147 polymorphisms influenced susceptibilities to genetically related or unrelated leprosy contact individuals. rs142179458 was associated with onset early cases, rs73058713 A allele and rs3764147 A allele increased the risk of reversal reaction, while rs3764147 G allele had higher risk to present lepromatous leprosy and erythema nodosum leprosum. Conclusion Our results demonstrated that genetic variants in the LACC1, HIF1A, SLC29A3 and CDH18 genes were positively correlated with the occurrence of leprosy and leprosy clinical phenotypes, providing new insights into the immunogenetics of the disease.
Collapse
Affiliation(s)
- Si-Yu Long
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, People's Republic of China
| | - Le Wang
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, People's Republic of China.,National Centre for Leprosy Control, China CDC, Nanjing, People's Republic of China
| | - Hai-Qin Jiang
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, People's Republic of China
| | - Ying Shi
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, People's Republic of China
| | - Wen-Yue Zhang
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, People's Republic of China
| | - Jing-Shu Xiong
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, People's Republic of China
| | - Pei-Wen Sun
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, People's Republic of China.,National Centre for Leprosy Control, China CDC, Nanjing, People's Republic of China
| | - Yan-Qing Chen
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, People's Republic of China
| | - You-Ming Mei
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, People's Republic of China
| | - Chun Pan
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, People's Republic of China
| | - Gai Ge
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, People's Republic of China
| | - Zhen-Zhen Wang
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, People's Republic of China
| | - Zi-Wei Wu
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, People's Republic of China
| | - Mei-Wen Yu
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, People's Republic of China.,National Centre for Leprosy Control, China CDC, Nanjing, People's Republic of China
| | - Hong-Sheng Wang
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, People's Republic of China.,National Centre for Leprosy Control, China CDC, Nanjing, People's Republic of China.,Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| |
Collapse
|
16
|
Predictive nomogram for leprosy using genetic and epidemiological risk factors in Southwestern China: Case-control and prospective analyses. EBioMedicine 2021; 68:103408. [PMID: 34051440 PMCID: PMC8176313 DOI: 10.1016/j.ebiom.2021.103408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 05/03/2021] [Accepted: 05/06/2021] [Indexed: 11/22/2022] Open
Abstract
Background There is a high incidence of leprosy among house-contacts compared with the general population. We aimed to establish a predictive model using these genetic factors along with epidemiological factors to predict leprosy risk of leprosy household contacts (HHCs). Methods Weighted genetic risk score (wGRS) encompassing genome wide association studies (GWAS) variants and five non-genetic factors were examined in a case–control design associated with leprosy risk including 589 cases and 647 controls from leprosy HHCs. We constructed a risk prediction nomogram and evaluated its performance by concordance index (C-index) and calibration curve. The results were validated using bootstrap resampling with 1000 resamples and a prospective design including 1100 HHCs of leprosy patients. Finding The C-index for the risk model was 0·792 (95% confidence interval [CI] 0·768-0·817), and was confirmed to be 0·780 through bootstrapping validation. The calibration curve for the probability of leprosy showed good agreement between the prediction of the nomogram and actual observation. HHCs were then divided into the low-risk group (nomogram score ≤ 81) and the high-risk group (nomogram score > 81). In prospective analysis, 12 of 1100 participants had leprosy during 63 months’ follow-up. We generated the nomogram for leprosy in the validation cohort (C-index 0·773 [95%CI 0·658-0·888], sensitivity75·0%, specificity 66·8%). Interpretation The nomogram achieved an effective prediction of leprosy in HHCs. Using the model, the risk of an individual contact developing leprosy can be determined, which can lead to a rational preventive choice for tracing higher-risk leprosy contacts. Funding The ministry of health of China, ministry of science and technology of China, Chinese academy of medical sciences, Jiangsu provincial department of science and technology, Nanjing municipal science and technology bureau.
Collapse
|
17
|
Bourgeois JS, Smith CM, Ko DC. These Are the Genes You're Looking For: Finding Host Resistance Genes. Trends Microbiol 2021; 29:346-362. [PMID: 33004258 PMCID: PMC7969353 DOI: 10.1016/j.tim.2020.09.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 09/05/2020] [Accepted: 09/07/2020] [Indexed: 12/21/2022]
Abstract
Humanity's ongoing struggle with new, re-emerging and endemic infectious diseases serves as a frequent reminder of the need to understand host-pathogen interactions. Recent advances in genomics have dramatically advanced our understanding of how genetics contributes to host resistance or susceptibility to bacterial infection. Here we discuss current trends in defining host-bacterial interactions at the genome-wide level, including screens that harness CRISPR/Cas9 genome editing, natural genetic variation, proteomics, and transcriptomics. We report on the merits, limitations, and findings of these innovative screens and discuss their complementary nature. Finally, we speculate on future innovation as we continue to progress through the postgenomic era and towards deeper mechanistic insight and clinical applications.
Collapse
Affiliation(s)
- Jeffrey S Bourgeois
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC, USA; University Program in Genetics and Genomics, Duke University, Durham, NC, USA
| | - Clare M Smith
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC, USA; University Program in Genetics and Genomics, Duke University, Durham, NC, USA; Duke Human Vaccine Institute, School of Medicine, Duke University Durham, NC, USA
| | - Dennis C Ko
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC, USA; University Program in Genetics and Genomics, Duke University, Durham, NC, USA; Division of Infectious Diseases, Department of Medicine, School of Medicine, Duke University, Durham, NC, USA.
| |
Collapse
|
18
|
Zhang DF, Li HL, Zheng Q, Bi R, Xu M, Wang D, Zhu GP, Li YY, Yao YG. Mapping leprosy-associated coding variants of interleukin genes by targeted sequencing. Clin Genet 2021; 99:802-811. [PMID: 33646620 DOI: 10.1111/cge.13945] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 01/25/2021] [Accepted: 02/16/2021] [Indexed: 12/30/2022]
Abstract
Previous genotyping-based assays have identified non-coding variants of several interleukins (ILs) being associated with genetic susceptibility to leprosy. However, understanding of the involvement of coding variants within all IL family genes in leprosy was still limited. To obtain the full mutation spectrum of all ILs in leprosy, we performed a targeted deep sequencing of coding regions of 58 ILs genes in 798 leprosy patients (age 56.2 ± 14.4; female 31.5%) and 990 healthy controls (age 38.1 ± 14.0; female 44.3%) from Yunnan, Southwest China. mRNA expression alterations of ILs in leprosy skin lesions or in response to M. leprae treatment were estimated by using publicly available expression datasets. Two coding variants in IL27 (rs17855750, p.S59A, p = 4.02 × 10-8 , odds ratio [OR] = 1.748) and IL1RN (rs45507693, p.A106T, p = 1.45 × 10-5 , OR = 3.629) were significantly associated with leprosy risk. mRNA levels of IL27 and IL1RN were upregulated in whole blood cells after M. leprae stimulation. These data showed that IL27 and IL1RN are leprosy risk genes. Further functional study is required for characterizing the exact role of ILs in leprosy.
Collapse
Affiliation(s)
- Deng-Feng Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Hui-Long Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Quanzhen Zheng
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Rui Bi
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China.,Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Min Xu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Dong Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Guo-Ping Zhu
- College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Yu-Ye Li
- Department of Dermatology, the First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yong-Gang Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China.,Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| |
Collapse
|
19
|
Polymorphisms in mitochondrial ribosomal protein S5 (MRPS5) are associated with leprosy risk in Chinese. PLoS Negl Trop Dis 2020; 14:e0008883. [PMID: 33362202 PMCID: PMC7757804 DOI: 10.1371/journal.pntd.0008883] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 10/13/2020] [Indexed: 01/15/2023] Open
Abstract
Leprosy is an infectious disease caused by Mycobacterium leprae (M. leprae), with about 210,000 new cases per year worldwide. Although numerous risk loci have been uncovered by genome-wide association studies, the effects of common genetic variants are relatively modest. To identify possible new genetic locus involved in susceptibility to leprosy, whole exome sequencing was performed for 28 subjects including 14 patients and 12 unaffected members from 8 leprosy-affected families as well as another case and an unrelated control, and then the follow-up SNP genotyping of the candidate variants was studied in case-control sample sets. A rare missense variant in mitochondrial ribosomal protein S5 (MRPS5), rs200730619 (c. 95108402T>C [p. Tyr137Cys]) was identified and validated in 369 cases and 270 controls of Chinese descent (Padjusted = 0.006, odds ratio [OR] = 2.74) as a contributing factor to leprosy risk. Moreover, the mRNA level of MRPS5 was downregulated in M. leprae sonicate-stimulated peripheral blood mononuclear cells. Our results indicated that MRPS5 may be involved in leprosy pathogenesis. Further studies are needed to determine if defective MRPS5 could lead to impairment of energy metabolism of host immune cells, which could further cause defect in clearing M. leprae and increase susceptibility to infection.
Collapse
|
20
|
Host genetics and infectious disease: new tools, insights and translational opportunities. Nat Rev Genet 2020; 22:137-153. [PMID: 33277640 PMCID: PMC7716795 DOI: 10.1038/s41576-020-00297-6] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/14/2020] [Indexed: 12/22/2022]
Abstract
Understanding how human genetics influence infectious disease susceptibility offers the opportunity for new insights into pathogenesis, potential drug targets, risk stratification, response to therapy and vaccination. As new infectious diseases continue to emerge, together with growing levels of antimicrobial resistance and an increasing awareness of substantial differences between populations in genetic associations, the need for such work is expanding. In this Review, we illustrate how our understanding of the host–pathogen relationship is advancing through holistic approaches, describing current strategies to investigate the role of host genetic variation in established and emerging infections, including COVID-19, the need for wider application to diverse global populations mirroring the burden of disease, the impact of pathogen and vector genetic diversity and a broad array of immune and inflammation phenotypes that can be mapped as traits in health and disease. Insights from study of inborn errors of immunity and multi-omics profiling together with developments in analytical methods are further advancing our knowledge of this important area. Infectious diseases are an ever-present global threat. In this Review, Kwok, Mentzer and Knight discuss our latest understanding of how human genetics influence susceptibility to disease. Furthermore, they discuss emerging progress in the interplay between host and pathogen genetics, molecular responses to infection and vaccination, and opportunities to bring these aspects together for rapid responses to emerging diseases such as COVID-19.
Collapse
|
21
|
Shen YL, Long SY, Kong WM, Wu LM, Fei LJ, Yao Q, Wang HS. <p>Single-Nucleotide Polymorphisms in Genes Predisposing to Leprosy in Leprosy Household Contacts in Zhejiang Province, China</p>. Pharmgenomics Pers Med 2020; 13:767-773. [PMID: 33376384 PMCID: PMC7762432 DOI: 10.2147/pgpm.s286270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Accepted: 11/26/2020] [Indexed: 11/23/2022] Open
Affiliation(s)
- Yun-Liang Shen
- Department of Leprosy Control, Zhejiang Provincial Institute of Dermatology, Huzhou, People’s Republic of China
| | - Si-Yu Long
- Laboratory of Leprosy and Other Mycobacterial Infections, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, People’s Republic of China
| | - Wen-Ming Kong
- Department of Leprosy Control, Zhejiang Provincial Institute of Dermatology, Huzhou, People’s Republic of China
| | - Li-Mei Wu
- Department of Leprosy Control, Zhejiang Provincial Institute of Dermatology, Huzhou, People’s Republic of China
| | - Li-Juan Fei
- Department of Leprosy Control, Zhejiang Provincial Institute of Dermatology, Huzhou, People’s Republic of China
| | - Qiang Yao
- Department of Leprosy Control, Zhejiang Provincial Institute of Dermatology, Huzhou, People’s Republic of China
- Qiang Yao Department of Leprosy Control, Zhejiang Provincial Institute of Dermatology, St 61, Wuyuan, Huzhou, Zhejiang313200, People’s Republic of China Email
| | - Hong-Sheng Wang
- Laboratory of Leprosy and Other Mycobacterial Infections, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, People’s Republic of China
- Correspondence: Hong-Sheng Wang Laboratory of Leprosy and Other Mycobacterial Infections, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, St 12 Jiangwangmiao, Nanjing, Jiangsu210042, People’s Republic of China Email
| |
Collapse
|
22
|
The complex pattern of genetic associations of leprosy with HLA class I and class II alleles can be reduced to four amino acid positions. PLoS Pathog 2020; 16:e1008818. [PMID: 32776973 PMCID: PMC7440659 DOI: 10.1371/journal.ppat.1008818] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 08/20/2020] [Accepted: 07/16/2020] [Indexed: 12/17/2022] Open
Abstract
Leprosy is a chronic disease caused by Mycobacterium leprae. Worldwide, more than 200,000 new patients are affected by leprosy annually, making it the second most common mycobacterial disease after tuberculosis. The MHC/HLA region has been consistently identified as carrying major leprosy susceptibility variants in different populations at times with inconsistent results. To establish the unambiguous molecular identity of classical HLA class I and class II leprosy susceptibility factors, we applied next-generation sequencing to genotype with high-resolution 11 HLA class I and class II genes in 1,155 individuals from a Vietnamese leprosy case-control sample. HLA alleles belonging to an extended haplotype from HLA-A to HLA-DPB1 were associated with risk to leprosy. This susceptibility signal could be reduced to the HLA-DRB1*10:01~ HLA-DQA1*01:05 alleles which were in complete linkage disequilibrium (LD). In addition, haplotypes containing HLA-DRB3~ HLA-DRB1*12:02 and HLA-C*07:06~ HLA-B*44:03~ HLA-DRB1*07:01 alleles were found as two independent protective factors for leprosy. Moreover, we replicated the previously associated HLA-DRB1*15:01 as leprosy risk factor and HLA-DRB1*04:05~HLA-DQA1*03:03 as protective alleles. When we narrowed the analysis to the single amino acid level, we found that the associations of the HLA alleles were largely captured by four independent amino acids at HLA-DRβ1 positions 57 (D) and 13 (F), HLA-B position 63 (E) and HLA-A position 19 (K). Hence, analyses at the amino acid level circumvented the ambiguity caused by strong LD of leprosy susceptibility HLA alleles and identified four distinct leprosy susceptibility factors. Despite global efforts to eliminate leprosy over the past 25 years, more than 200,000 new cases are reported annually, and leprosy still represents a major public health problem in endemic regions. Leprosy presents a strong link with the host genetic background. The most significant susceptibility factors are located in the MHC region and likely involve classical HLA genes. However, the molecular identity of the HLA class I/II-leprosy risk factor(s) has been a matter of longstanding scientific dispute. By conducting a comprehensive sequenced-based analysis of HLA class I and class II genes, we are able to provide a unifying view of the complex relationship of leprosy susceptibility and HLA alleles. In addition, we show that four amino acid polymorphisms in HLA-DRβ1, HLA-B and HLA-A are sufficient to explain the majority of leprosy-HLA associations which opens the way for select protein-HLA peptide binding studies.
Collapse
|
23
|
Zhu C, Miller M, Zeng Z, Wang Y, Mahlich Y, Aptekmann A, Bromberg Y. Computational Approaches for Unraveling the Effects of Variation in the Human Genome and Microbiome. Annu Rev Biomed Data Sci 2020. [DOI: 10.1146/annurev-biodatasci-030320-041014] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
The past two decades of analytical efforts have highlighted how much more remains to be learned about the human genome and, particularly, its complex involvement in promoting disease development and progression. While numerous computational tools exist for the assessment of the functional and pathogenic effects of genome variants, their precision is far from satisfactory, particularly for clinical use. Accumulating evidence also suggests that the human microbiome's interaction with the human genome plays a critical role in determining health and disease states. While numerous microbial taxonomic groups and molecular functions of the human microbiome have been associated with disease, the reproducibility of these findings is lacking. The human microbiome–genome interaction in healthy individuals is even less well understood. This review summarizes the available computational methods built to analyze the effect of variation in the human genome and microbiome. We address the applicability and precision of these methods across their possible uses. We also briefly discuss the exciting, necessary, and now possible integration of the two types of data to improve the understanding of pathogenicity mechanisms.
Collapse
Affiliation(s)
- Chengsheng Zhu
- Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, New Jersey 08873, USA;,
| | - Maximilian Miller
- Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, New Jersey 08873, USA;,
| | - Zishuo Zeng
- Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, New Jersey 08873, USA;,
| | - Yanran Wang
- Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, New Jersey 08873, USA;,
| | - Yannick Mahlich
- Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, New Jersey 08873, USA;,
| | - Ariel Aptekmann
- Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, New Jersey 08873, USA;,
| | - Yana Bromberg
- Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, New Jersey 08873, USA;,
- Department of Genetics, Rutgers University, Piscataway, New Jersey 08854, USA
| |
Collapse
|
24
|
Teles SF, Silva EA, Souza RMD, Tomimori J, Florian MC, Souza RO, Marcos EVC, Souza-Santana FCD, Gamba MA. Association between NDO-LID and PGL-1 for leprosy and class I and II human leukocyte antigen alleles in an indigenous community in Southwest Amazon. Braz J Infect Dis 2020; 24:296-303. [PMID: 32589879 PMCID: PMC9392080 DOI: 10.1016/j.bjid.2020.05.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 05/11/2020] [Accepted: 05/31/2020] [Indexed: 11/25/2022] Open
Abstract
The frequencies of the Human leukocyte antigen (HLA) alleles in the Puyanawa indigenous reserve population and their association with the NDO-LID and ELISA PGL-1 rapid serological test was assessed. This was a cross-sectional study with an epidemiological clinical design conducted in two indigenous communities in the state of Acre, Brazil. Blood was collected in a tube with EDTA to identify HLA alleles and perform serological tests. DNA was obtained using the salting out procedure. The LabType™ technique (One-Lambda-USA) was used for HLA class I (loci A*, B* and C*) and II (loci DRB1*, DQA1* and DQB1*) typing. Allele frequency was obtained by direct count, and the chi-square test was used to assess the association with the NDO-LID and PGL-1 tests. The most frequent alleles in the two communities were: HLA-A*02:01, HLA-B*40:02, HLA-DRB1*16:02, HLA-DQA1*05:05 and HLA-DQB1*03:01. The allele HLA-C*04:01 was the most common in the Barão community, and the allele HLA-C*07:01 in Ipiranga. Among individuals who presented seropositivity to the NDO-LID test, the association with alleles HLA-A*02 (43.18% vs 24.8%, p = 0.03, OR = 2.35) and HLA-B*53 (6.83% vs 0.0%, p = 0.03, OR = 8.95) was observed in the Barão community. HLA-B*15 was associated with non-seroconversion to the NDO-LID test in Ipiranga. In both communities, HLA-B*40 and HLA-C*03 were associated with positive serological response to ELISA PGL-1. The HLA class I and II alleles most frequently found in this study have already been described among Terena indigenous groups, and HLA class I contributes to seroconversion to NDO-LID and PGL-1 tests in inhabitants of the Barão and Ipiranga communities.
Collapse
|
25
|
Gzara C, Dallmann-Sauer M, Orlova M, Van Thuc N, Thai VH, Fava VM, Bihoreau MT, Boland A, Abel L, Alcaïs A, Schurr E, Cobat A. Family-based genome-wide association study of leprosy in Vietnam. PLoS Pathog 2020; 16:e1008565. [PMID: 32421744 PMCID: PMC7259797 DOI: 10.1371/journal.ppat.1008565] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 05/29/2020] [Accepted: 04/20/2020] [Indexed: 12/14/2022] Open
Abstract
Leprosy is a chronic infectious disease of the skin and peripheral nerves with a strong genetic predisposition. Recent genome-wide approaches have identified numerous common variants associated with leprosy, almost all in the Chinese population. We conducted the first family-based genome-wide association study of leprosy in 622 affected offspring from Vietnam, followed by replication in an independent sample of 1181 leprosy cases and 668 controls of the same ethnic origin. The most significant results were observed within the HLA region, in which six SNPs displayed genome-wide significant associations, all of which were replicated in the independent case/control sample. We investigated the signal in the HLA region in more detail, by conducting a multivariate analysis on the case/control sample of 319 GWAS-suggestive HLA hits for which evidence for replication was obtained. We identified three independently associated SNPs, two located in the HLA class I region (rs1265048: OR = 0.69 [0.58-0.80], combined p-value = 5.53x10-11; and rs114598080: OR = 1.47 [1.46-1.48], combined p-value = 8.77x10-13), and one located in the HLA class II region (rs3187964 (OR = 1.67 [1.55-1.80], combined p-value = 8.35x10-16). We also validated two previously identified risk factors for leprosy: the missense variant rs3764147 in the LACC1 gene (OR = 1.52 [1.41-1.63], combined p-value = 5.06x10-14), and the intergenic variant rs6871626 located close to the IL12B gene (OR = 0.73 [0.61-0.84], combined p-value = 6.44x10-8). These results shed new light on the genetic control of leprosy, by dissecting the influence of HLA SNPs, and validating the independent role of two additional variants in a large Vietnamese sample.
Collapse
Affiliation(s)
- Chaima Gzara
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM UMR1163, Paris, France
- Université de Paris, Imagine Institute, Paris, France
| | - Monica Dallmann-Sauer
- McGill International TB Centre, Montreal, QC, Canada
- Program in Infectious Diseases and Immunity in Global Health, The Research Institute of the McGill University Health Centre, Montreal, QC, Canada
- Department of Medicine and Human Genetics, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Marianna Orlova
- McGill International TB Centre, Montreal, QC, Canada
- Program in Infectious Diseases and Immunity in Global Health, The Research Institute of the McGill University Health Centre, Montreal, QC, Canada
- Department of Medicine and Human Genetics, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Nguyen Van Thuc
- Hospital for Dermato-Venereology, District, Ho Chi Minh City, Vietnam
| | - Vu Hong Thai
- Hospital for Dermato-Venereology, District, Ho Chi Minh City, Vietnam
| | - Vinicius M. Fava
- McGill International TB Centre, Montreal, QC, Canada
- Program in Infectious Diseases and Immunity in Global Health, The Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Marie-Thérèse Bihoreau
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, Evry, France
| | - Anne Boland
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, Evry, France
| | - Laurent Abel
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM UMR1163, Paris, France
- Université de Paris, Imagine Institute, Paris, France
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, United States of America
| | - Alexandre Alcaïs
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM UMR1163, Paris, France
- Université de Paris, Imagine Institute, Paris, France
| | - Erwin Schurr
- McGill International TB Centre, Montreal, QC, Canada
- Program in Infectious Diseases and Immunity in Global Health, The Research Institute of the McGill University Health Centre, Montreal, QC, Canada
- Department of Medicine and Human Genetics, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Aurélie Cobat
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM UMR1163, Paris, France
- Université de Paris, Imagine Institute, Paris, France
- * E-mail:
| |
Collapse
|
26
|
Mi Z, Liu H, Zhang F. Advances in the Immunology and Genetics of Leprosy. Front Immunol 2020; 11:567. [PMID: 32373110 PMCID: PMC7176874 DOI: 10.3389/fimmu.2020.00567] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Accepted: 03/12/2020] [Indexed: 12/21/2022] Open
Abstract
Leprosy, a disease caused by the intracellular parasite Mycobacterium leprae or Mycobacterium lepromatosis, has affected humans for more than 4,000 years and is a stigmatized disease even now. Since clinical manifestations of leprosy patients present as an immune-related spectrum, leprosy is regarded as an ideal model for studying the interaction between host immune response and infection; in fact, the landscape of leprosy immune responses has been extensively investigated. Meanwhile, leprosy is to some extent a genetic disease because the genetic factors of hosts have long been considered major contributors to this disease. Many immune-related genes have been discovered to be associated with leprosy. However, immunological and genetic findings have rarely been studied and discussed together, and as a result, the effects of gene variants on leprosy immune responses and the molecular mechanisms of leprosy pathogenesis are largely unknown. In this context, we summarized advances in both the immunology and genetics of leprosy and discussed the perspective of the combination of immunological and genetic approaches in studying the molecular mechanism of leprosy pathogenesis. In our opinion, the integrating of immunological and genetic approaches in the future may be promising to elucidate the molecular mechanism of leprosy onset and how leprosy develops into different types of leprosy.
Collapse
Affiliation(s)
- Zihao Mi
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Hong Liu
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Furen Zhang
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| |
Collapse
|
27
|
Abstract
Buruli ulcer, the third most common mycobacterial disease worldwide, is caused by Mycobacterium ulcerans and characterized by devastating necrotizing skin lesions. Susceptibility to Buruli ulcer is thought to depend on host genetics, but very few genetic studies have been performed. The identification of a microdeletion on chromosome 8 in a familial form of severe Buruli ulcer suggested a monogenic basis of susceptibility. The role of common host genetic variants in Buruli ulcer development has been investigated in only three candidate-gene studies targeting genes involved in mycobacterial diseases. A recent genome-wide association study suggested a probable role for long non-coding RNAs and strengthened the contribution of autophagy as a major defense mechanism against mycobacteria. In this review, we summarize the history, epidemiological and clinical aspects of Buruli ulcer, focusing particularly on genetic findings relating to susceptibility to this disease. Finally, we discuss exciting new genetic avenues arising, in particular, from studies of mouse models, and the need for different disciplines to work together, to benefit from the extensive work on other mycobacterial diseases, mostly tuberculosis and leprosy. We are convinced that such pooling of effort will lead to the development of efficient novel strategies for combatting Buruli ulcer.
Collapse
|
28
|
Laufer VA, Tiwari HK, Reynolds RJ, Danila MI, Wang J, Edberg JC, Kimberly RP, Kottyan LC, Harley JB, Mikuls TR, Gregersen PK, Absher DM, Langefeld CD, Arnett DK, Bridges SL. Genetic influences on susceptibility to rheumatoid arthritis in African-Americans. Hum Mol Genet 2020; 28:858-874. [PMID: 30423114 DOI: 10.1093/hmg/ddy395] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Revised: 11/05/2018] [Accepted: 11/09/2018] [Indexed: 12/29/2022] Open
Abstract
Large meta-analyses of rheumatoid arthritis (RA) susceptibility in European (EUR) and East Asian (EAS) populations have identified >100 RA risk loci, but genome-wide studies of RA in African-Americans (AAs) are absent. To address this disparity, we performed an analysis of 916 AA RA patients and 1392 controls and aggregated our data with genotyping data from >100 000 EUR and Asian RA patients and controls. We identified two novel risk loci that appear to be specific to AAs: GPC5 and RBFOX1 (PAA < 5 × 10-9). Most RA risk loci are shared across different ethnicities, but among discordant loci, we observed strong enrichment of variants having large effect sizes. We found strong evidence of effect concordance for only 3 of the 21 largest effect index variants in EURs. We used the trans-ethnic fine-mapping algorithm PAINTOR3 to prioritize risk variants in >90 RA risk loci. Addition of AA data to those of EUR and EAS descent enabled identification of seven novel high-confidence candidate pathogenic variants (defined by posterior probability > 0.8). In summary, our trans-ethnic analyses are the first to include AAs, identified several new RA risk loci and point to candidate pathogenic variants that may underlie this common autoimmune disease. These findings may lead to better ways to diagnose or stratify treatment approaches in RA.
Collapse
Affiliation(s)
- Vincent A Laufer
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Hemant K Tiwari
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Richard J Reynolds
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Maria I Danila
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jelai Wang
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jeffrey C Edberg
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Robert P Kimberly
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Leah C Kottyan
- Center for Autoimmune Genetics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - John B Harley
- Center for Autoimmune Genetics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.,United States Department of Veterans Affairs Medical Center, Cincinnati, OH, USA
| | - Ted R Mikuls
- VA Nebraska-Western Iowa Health Care System and the Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Peter K Gregersen
- Robert S. Boas Center for Genomics and Human Genetics, Feinstein Institute for Medical Research, North Shore-LIJ Health System, Manhasset, NY, USA
| | - Devin M Absher
- Hudson Alpha Institute for Biotechnology, Huntsville, AL, USA
| | - Carl D Langefeld
- Department of Biostatistical Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Donna K Arnett
- University of Kentucky College of Public Health, Lexington, KY, USA
| | - S Louis Bridges
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| |
Collapse
|
29
|
Zhao Q, Sun Y, Liu H, Zhang F. Prevention and Treatment of Leprosy - China, 2009-2019. China CDC Wkly 2020; 2:53-56. [PMID: 34594761 PMCID: PMC8393067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Accepted: 01/16/2020] [Indexed: 11/06/2022] Open
Affiliation(s)
- Qing Zhao
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Yonghu Sun
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Hong Liu
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Furen Zhang
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China,Furen Zhang,
| |
Collapse
|
30
|
Uitto J, Lu Q, Wang G. Meeting Report of the 4th Annual Meeting of the Chinese Society for Investigative Dermatology: Reflections on the Rise of Cutaneous Biology Research in China. J Invest Dermatol 2019; 140:729-732.e4. [PMID: 31862384 DOI: 10.1016/j.jid.2019.11.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 11/26/2019] [Accepted: 11/29/2019] [Indexed: 11/28/2022]
Affiliation(s)
- Jouni Uitto
- Department of Dermatology and Cutaneous Biology and the Jefferson Institute of Molecular Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
| | - Qianjin Lu
- Department of Dermatology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Gang Wang
- Department of Dermatology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China
| |
Collapse
|
31
|
Abstract
Leprosy is a chronic infectious disease of the skin and peripheral nerves that presents a strong link with the host genetic background. Different approaches in genetic studies have been applied to leprosy and today leprosy is among the infectious diseases with the greatest number of genetic risk variants identified. Several leprosy genes have been implicated in host immune response to pathogens and point to specific pathways that are relevant for host defense to infection. In addition, host genetic factors are also involved in the heterogeneity of leprosy clinical manifestations and in excessive inflammatory responses that occur in some leprosy patients. Finally, genetic studies in leprosy have provided strong evidence of pleiotropic effects between leprosy and other complex diseases, such as immune-mediated or neurodegenerative diseases. These findings not only impact on the field of leprosy and infectious diseases but also make leprosy a good model for the study of complex immune-mediated diseases. Here, we summarize recent genetic findings in leprosy susceptibility and discuss the overlap of the genetic control in leprosy with Parkinson's disease and inflammatory bowel disease. Moreover, some limitations, challenges, and potential new avenues for future genetics studies of leprosy are also discussed in this review.
Collapse
|
32
|
Gomez JL, Himes BE, Kaminski N. Precision Medicine in Critical Illness: Sepsis and Acute Respiratory Distress Syndrome. PRECISION IN PULMONARY, CRITICAL CARE, AND SLEEP MEDICINE 2019. [PMCID: PMC7120471 DOI: 10.1007/978-3-030-31507-8_18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Sepsis and the acute respiratory distress syndrome (ARDS) each cause substantial morbidity and mortality. In contrast to other lung diseases, the entire course of disease in these syndromes is measured in days to weeks rather than months to years, which raises unique challenges in achieving precision medicine. We review advances in sepsis and ARDS resulting from omics studies, including those involving genome-wide association, gene expression, targeted proteomics, and metabolomics approaches. We focus on promising evidence of biological subtypes in both sepsis and ARDS that consistently display high risk for death. In sepsis, a gene expression signature with dysregulated adaptive immune signaling has evidence for a differential response to systemic steroid therapy, whereas in ARDS, a hyperinflammatory pattern identified in plasma using targeted proteomics responded more favorably to randomized interventions including high positive end-expiratory pressure, volume conservative fluid therapy, and simvastatin therapy. These early examples suggest heterogeneous biology that may be challenging to detect by clinical factors alone and speak to the promise of a precision approach that targets the right treatment at the right time to the right patient.
Collapse
Affiliation(s)
- Jose L. Gomez
- Assistant Professor Pulmonary, Critical Care and Sleep Medicine Section, Department of Medicine, Yale University School of Medicine, New Haven, CT USA
| | - Blanca E. Himes
- Assistant Professor of Informatics, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA USA
| | - Naftali Kaminski
- Boehringer-Ingelheim Endowed, Professor of Internal Medicine, Chief of Pulmonary, Critical Care and Sleep Medicine, Yale University School of Medicine, New Haven, CT USA
| |
Collapse
|
33
|
Pleiotropic effects for Parkin and LRRK2 in leprosy type-1 reactions and Parkinson's disease. Proc Natl Acad Sci U S A 2019; 116:15616-15624. [PMID: 31308240 PMCID: PMC6681704 DOI: 10.1073/pnas.1901805116] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Type-1 reactions (T1R) are pathological immune responses in leprosy and a frequent cause of peripheral nerve damage. Employing a candidate gene approach combined with deep resequencing, we identified amino acid mutations in the E3 ligase Parkin and the polyfunctional kinase LRRK2 that were associated with T1R. This finding directly linked both proteins with the extent of the immune response in an infectious disease. Moreover, amino acids associated with T1R mutations were significantly enriched for mutations found in patients suffering from Parkinson’s disease (PD). These findings confirm Parkin and LRRK2 as 2 key inflammatory regulators and suggest that T1R and PD share overlapping pathways of pathogenesis. Type-1 reactions (T1R) are pathological inflammatory episodes and main contributors to nerve damage in leprosy. Here, we evaluate the genewise enrichment of rare protein-altering variants in 7 genes where common variants were previously associated with T1R. We selected 474 Vietnamese leprosy patients of which 237 were T1R-affected and 237 were T1R-free matched controls. Genewise enrichment of nonsynonymous variants was tested with both kernel-based (sequence kernel association test [SKAT]) and burden methods. Of the 7 genes tested 2 showed statistical evidence of association with T1R. For the LRRK2 gene an enrichment of nonsynonymous variants was observed in T1R-free controls (PSKAT-O = 1.6 × 10−4). This genewise association was driven almost entirely by the gain-of-function variant R1628P (P = 0.004; odds ratio = 0.29). The second genewise association was found for the Parkin coding gene PRKN (formerly PARK2) where 7 rare variants were enriched in T1R-affected cases (PSKAT-O = 7.4 × 10−5). Mutations in both PRKN and LRRK2 are known causes of Parkinson’s disease (PD). Hence, we evaluated to what extent such rare amino acid changes observed in T1R are shared with PD. We observed that amino acids in Parkin targeted by nonsynonymous T1R-risk mutations were also enriched for mutations implicated in PD (P = 1.5 × 10−4). Hence, neuroinflammation in PD and peripheral nerve damage due to inflammation in T1R share overlapping genetic control of pathogenicity.
Collapse
|
34
|
Noll KE, Ferris MT, Heise MT. The Collaborative Cross: A Systems Genetics Resource for Studying Host-Pathogen Interactions. Cell Host Microbe 2019; 25:484-498. [PMID: 30974083 PMCID: PMC6494101 DOI: 10.1016/j.chom.2019.03.009] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Host genetic variation has a major impact on infectious disease susceptibility. The study of pathogen resistance genes, largely aided by mouse models, has significantly advanced our understanding of infectious disease pathogenesis. The Collaborative Cross (CC), a newly developed multi-parental mouse genetic reference population, serves as a tractable model system to study how pathogens interact with genetically diverse populations. In this review, we summarize progress utilizing the CC as a platform to develop improved models of pathogen-induced disease and to map polymorphic host response loci associated with variation in susceptibility to pathogens.
Collapse
Affiliation(s)
- Kelsey E Noll
- Department of Microbiology and Immunology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Martin T Ferris
- Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Mark T Heise
- Department of Microbiology and Immunology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| |
Collapse
|
35
|
Zhang X, Cheng Y, Zhang Q, Wang X, Lin Y, Yang C, Sun J, Huang H, Li Y, Sheng Y, Fan X, Sun Y, Zhang X, Zheng X, Zhang B, Yang S. Meta-Analysis Identifies Major Histocompatiblity Complex Loci in or Near HLA-DRB1, HLA-DQA1, HLA-C as Associated with Leprosy in Chinese Han Population. J Invest Dermatol 2018; 139:957-960. [PMID: 30389493 DOI: 10.1016/j.jid.2018.09.029] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Revised: 09/05/2018] [Accepted: 09/24/2018] [Indexed: 11/16/2022]
Affiliation(s)
- Xuelei Zhang
- Department of Dermatology, No. 1 Hospital and Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
| | - Yuyan Cheng
- Department of Dermatology, No. 1 Hospital and Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
| | - Qun Zhang
- Department of Dermatology, No. 1 Hospital and Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
| | - Xiaomeng Wang
- Department of Dermatology, No. 1 Hospital and Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
| | - Yan Lin
- Department of Dermatology, The Fourth Affiliated Hospital, Anhui Medical University, Hefei, Anhui, China
| | - Chao Yang
- Department of Dermatology, No. 1 Hospital and Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
| | - Jingying Sun
- Department of Dermatology, No. 1 Hospital and Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
| | - He Huang
- Department of Dermatology, No. 1 Hospital and Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
| | - Yang Li
- Department of Dermatology, No. 1 Hospital and Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
| | - Yujun Sheng
- Department of Dermatology, No. 1 Hospital and Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
| | - Xing Fan
- Department of Dermatology, No. 1 Hospital and Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
| | - Yonghu Sun
- Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, China
| | - Xuejun Zhang
- Department of Dermatology, No. 1 Hospital and Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China; Department of Dermatology, No. 2 Hospital, Anhui Medical University, Hefei, Anhui, China
| | - Xiaodong Zheng
- Department of Dermatology, No. 1 Hospital and Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China.
| | - Bo Zhang
- Department of Dermatology, No. 2 Hospital, Anhui Medical University, Hefei, Anhui, China; School of Life Sciences, Anhui Medical University, Hefei, Anhui, China.
| | - Sen Yang
- Department of Dermatology, No. 1 Hospital and Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China.
| |
Collapse
|
36
|
Wang N, Wang Z, Wang C, Fu X, Yu G, Yue Z, Liu T, Zhang H, Li L, Chen M, Wang H, Niu G, Liu D, Zhang M, Xu Y, Zhang Y, Li J, Li Z, You J, Chu T, Li F, Liu D, Liu H, Zhang F. Prediction of leprosy in the Chinese population based on a weighted genetic risk score. PLoS Negl Trop Dis 2018; 12:e0006789. [PMID: 30231057 PMCID: PMC6166985 DOI: 10.1371/journal.pntd.0006789] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 10/01/2018] [Accepted: 08/26/2018] [Indexed: 01/03/2023] Open
Abstract
Genome wide association studies (GWASs) have revealed multiple genetic variants associated with leprosy in the Chinese population. The aim of our study was to utilize the genetic variants to construct a risk prediction model through a weighted genetic risk score (GRS) in a Chinese set and to further assess the performance of the model in identifying higher-risk contact individuals in an independent set. The highest prediction accuracy, with an area under the curve (AUC) of 0.743 (95% confidence interval (CI): 0.729-0.757), was achieved with a GRS encompassing 25 GWAS variants in a discovery set that included 2,144 people affected by leprosy and 2,671 controls. Individuals in the high-risk group, based on genetic factors (GRS > 28.06), have a 24.65 higher odds ratio (OR) for developing leprosy relative to those in the low-risk group (GRS≤18.17). The model was then applied to a validation set consisting of 1,385 people affected by leprosy and 7,541 individuals in contact with leprosy, which yielded a discriminatory ability with an AUC of 0.707 (95% CI: 0.691-0.723). When a GRS cut-off value of 22.38 was selected with the optimal sensitivity and specificity, it was found that 39.31% of high risk contact individuals should be screened in order to detect leprosy in 64.9% of those people affected by leprosy. In summary, we developed and validated a risk model for the prediction of leprosy that showed good discrimination capabilities, which may help physicians in the identification of patients coming into contact with leprosy and are at a higher-risk of developing this condition.
Collapse
Affiliation(s)
- Na Wang
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, Shandong, China
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Lab for Dermatovenereology, Jinan, Shandong, China
- Shandong Provincial Medical Center for Dermatovenereology, Jinan, Shandong, China
| | - Zhenzhen Wang
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Lab for Dermatovenereology, Jinan, Shandong, China
| | - Chuan Wang
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Lab for Dermatovenereology, Jinan, Shandong, China
| | - Xi'an Fu
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, Shandong, China
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Lab for Dermatovenereology, Jinan, Shandong, China
| | - Gongqi Yu
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Lab for Dermatovenereology, Jinan, Shandong, China
| | - Zhenhua Yue
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, Shandong, China
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Lab for Dermatovenereology, Jinan, Shandong, China
- Shandong Provincial Medical Center for Dermatovenereology, Jinan, Shandong, China
| | - Tingting Liu
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Lab for Dermatovenereology, Jinan, Shandong, China
| | - Huimin Zhang
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Lab for Dermatovenereology, Jinan, Shandong, China
| | - Lulu Li
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Lab for Dermatovenereology, Jinan, Shandong, China
| | - Mingfei Chen
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, Shandong, China
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Medical Center for Dermatovenereology, Jinan, Shandong, China
| | - Honglei Wang
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, Shandong, China
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Lab for Dermatovenereology, Jinan, Shandong, China
- Shandong Provincial Medical Center for Dermatovenereology, Jinan, Shandong, China
| | - Guiye Niu
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, Shandong, China
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Lab for Dermatovenereology, Jinan, Shandong, China
- Shandong Provincial Medical Center for Dermatovenereology, Jinan, Shandong, China
| | - Dan Liu
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Lab for Dermatovenereology, Jinan, Shandong, China
| | - Mingkai Zhang
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Lab for Dermatovenereology, Jinan, Shandong, China
| | - Yuanyuan Xu
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Lab for Dermatovenereology, Jinan, Shandong, China
| | - Yan Zhang
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Lab for Dermatovenereology, Jinan, Shandong, China
| | - Jinghui Li
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, Shandong, China
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Lab for Dermatovenereology, Jinan, Shandong, China
- Shandong Provincial Medical Center for Dermatovenereology, Jinan, Shandong, China
| | - Zhen Li
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, Shandong, China
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Lab for Dermatovenereology, Jinan, Shandong, China
- Shandong Provincial Medical Center for Dermatovenereology, Jinan, Shandong, China
| | - Jiabao You
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, Shandong, China
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Lab for Dermatovenereology, Jinan, Shandong, China
- Shandong Provincial Medical Center for Dermatovenereology, Jinan, Shandong, China
| | - Tongsheng Chu
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Medical Center for Dermatovenereology, Jinan, Shandong, China
| | - Furong Li
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, Shandong, China
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Medical Center for Dermatovenereology, Jinan, Shandong, China
| | - Dianchang Liu
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Medical Center for Dermatovenereology, Jinan, Shandong, China
| | - Hong Liu
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, Shandong, China
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Lab for Dermatovenereology, Jinan, Shandong, China
- Shandong Provincial Medical Center for Dermatovenereology, Jinan, Shandong, China
- * E-mail: (HL); (FZ)
| | - Furen Zhang
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, Shandong, China
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Lab for Dermatovenereology, Jinan, Shandong, China
- Shandong Provincial Medical Center for Dermatovenereology, Jinan, Shandong, China
- * E-mail: (HL); (FZ)
| |
Collapse
|
37
|
Dallmann-Sauer M, Correa-Macedo W, Schurr E. Human genetics of mycobacterial disease. Mamm Genome 2018; 29:523-538. [PMID: 30116885 PMCID: PMC6132723 DOI: 10.1007/s00335-018-9765-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Accepted: 07/23/2018] [Indexed: 12/18/2022]
Abstract
Mycobacterial diseases are caused by members of the genus Mycobacterium, acid-fast bacteria characterized by the presence of mycolic acids within their cell walls. Claiming almost 2 million lives every year, tuberculosis (TB) is the most common mycobacterial disease and is caused by infection with M. tuberculosis and, in rare cases, by M. bovis or M. africanum. The second and third most common mycobacterial diseases are leprosy and buruli ulcer (BU), respectively. Both diseases affect the skin and can lead to permanent sequelae and deformities. Leprosy is caused by the uncultivable M. leprae while the etiological agent of BU is the environmental bacterium M. ulcerans. After exposure to these mycobacterial species, a majority of individuals will not progress to clinical disease and, among those who do, inter-individual variability in disease manifestation and outcome can be observed. Susceptibility to mycobacterial diseases carries a human genetic component and intense efforts have been applied over the past decades to decipher the exact nature of the genetic factors controlling disease susceptibility. While for BU this search was mostly conducted on the basis of candidate genes association studies, genome-wide approaches have been widely applied for TB and leprosy. In this review, we summarize some of the findings achieved by genome-wide linkage, association and transcriptome analyses in TB disease and leprosy and the recent genetic findings for BU susceptibility.
Collapse
Affiliation(s)
- Monica Dallmann-Sauer
- Program in Infectious Diseases and Immunity in Global Health, Research Institute, McGill University Health Centre, Montreal, QC, Canada.,The McGill International TB Centre, McGill University, Montreal, QC, Canada.,Departments of Human Genetics and Medicine, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Wilian Correa-Macedo
- Program in Infectious Diseases and Immunity in Global Health, Research Institute, McGill University Health Centre, Montreal, QC, Canada.,The McGill International TB Centre, McGill University, Montreal, QC, Canada.,Department of Biochemistry, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Erwin Schurr
- Program in Infectious Diseases and Immunity in Global Health, Research Institute, McGill University Health Centre, Montreal, QC, Canada. .,The McGill International TB Centre, McGill University, Montreal, QC, Canada. .,Departments of Human Genetics and Medicine, Faculty of Medicine, McGill University, Montreal, QC, Canada. .,Department of Biochemistry, Faculty of Medicine, McGill University, Montreal, QC, Canada.
| |
Collapse
|
38
|
Kretzschmar GC, Oliveira LC, Nisihara RM, Velavan TP, Stinghen ST, Stahlke ERS, Petzl-Erler ML, de Messias-Reason IJT, Boldt ABW. Complement receptor 1 (CR1, CD35) association with susceptibility to leprosy. PLoS Negl Trop Dis 2018; 12:e0006705. [PMID: 30092084 PMCID: PMC6103516 DOI: 10.1371/journal.pntd.0006705] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 08/21/2018] [Accepted: 08/01/2018] [Indexed: 12/13/2022] Open
Abstract
Background Pathophysiological mechanisms are still incompletely understood for leprosy, an urgent public health issue in Brazil. Complement receptor 1 (CR1) binds complement fragments C3b/C4b deposited on mycobacteria, mediating its entrance in macrophages. We investigated CR1 polymorphisms, gene expression and soluble CR1 levels in a case-control study with Brazilian leprosy patients, aiming to understand the role of this receptor in differential susceptibility to the disease. Methodology Nine polymorphisms were haplotyped by multiplex PCR-SSP in 213 leprosy patients (47% multibacillary) and 297 controls. mRNA levels were measured by qPCR and sCR1 by ELISA, in up to 80 samples. Principal findings Individuals with the most common recombinant haplotype harboring rs3849266*T in intron 21 and rs3737002*T in exon 26 (encoding p.1408Met of the York Yka+ antigen), presented twice higher susceptibility to leprosy (OR = 2.43, p = 0.017). Paucibacillary patients with these variants presented lower sCR1 levels, thus reducing the anti-inflammatory response (p = 0.040 and p = 0.046, respectively). Furthermore, the most ancient haplotype increased susceptibility to the multibacillary clinical form (OR = 3.04, p = 0.01) and presented the intronic rs12034383*G allele, which was associated with higher gene expression (p = 0.043), probably increasing internalization of the parasite. Furthermore, there was an inverse correlation between the levels of sCR1 and mannose-binding lectin (initiator molecule of the lectin pathway of complement, recognized by CR1) (R = -0.52, p = 0.007). Conclusions The results lead us to suggest a regulatory role for CR1 polymorphisms on mRNA and sCR1 levels, with haplotype-specific effects increasing susceptibility to leprosy, probably by enhancing parasite phagocytosis and inflammation. The reasons for which some individuals resist Mycobacteria leprae infection, whereas others contract leprosy and only a subgroup of them become severely affected, are still poorly understood. The complement receptor 1 (CR1) serves as a gate for bacterial entry in macrophages, but its importance in the spread of infection and emergence of symptoms is unknown. Despite having many common structural and regulatory variants, the CR1 gene was investigated only once in a leprosy association study in Malawi. In order to fill in this gap, we investigated if CR1 polymorphisms are co-responsible for differential disease susceptibility in 213 leprosy patients and 297 controls, also measuring mRNA and soluble CR1 levels. Associations were dependent on specific combinations of variants in regulatory and coding regions, which were also associated with gene and protein expression. Thus, this study corroborates the importance of the CR1 receptor in the susceptibility to leprosy and is the first to bring information about CR1 polymorphisms in the Brazilian population, as well as to show the relationship between genotypes and mRNA and sCR1 levels.
Collapse
Affiliation(s)
| | - Luana Caroline Oliveira
- Laboratory of Human Molecular Genetics, Department of Genetics, Federal University of Paraná, Curitiba, Brazil
| | - Renato Mitsunori Nisihara
- Laboratory of Molecular Immunopathology, Department of Clinical Pathology, Clinical Hospital, Federal University of Paraná, Curitiba, Brazil
| | - Thirumalaisamy P. Velavan
- Institute of Tropical Medicine, Department of Human Parasitology, University of Tübingen, Tübingen, Germany
- Vietnamese- German Center for Medical Research, VG-CARE, Hanoi, Vietnam
| | - Sérvio Túlio Stinghen
- Laboratory of Molecular Immunopathology, Department of Clinical Pathology, Clinical Hospital, Federal University of Paraná, Curitiba, Brazil
| | | | - Maria Luiza Petzl-Erler
- Laboratory of Human Molecular Genetics, Department of Genetics, Federal University of Paraná, Curitiba, Brazil
| | - Iara José T. de Messias-Reason
- Laboratory of Molecular Immunopathology, Department of Clinical Pathology, Clinical Hospital, Federal University of Paraná, Curitiba, Brazil
| | - Angelica Beate Winter Boldt
- Laboratory of Human Molecular Genetics, Department of Genetics, Federal University of Paraná, Curitiba, Brazil
- Laboratory of Molecular Immunopathology, Department of Clinical Pathology, Clinical Hospital, Federal University of Paraná, Curitiba, Brazil
- * E-mail:
| |
Collapse
|
39
|
Wang Z, Mi Z, Wang H, Sun L, Yu G, Fu X, Wang C, Bao F, Yue Z, Zhao Q, Wang N, Cheng X, Liu H, Zhang F. Discovery of 4 exonic and 1 intergenic novel susceptibility loci for leprosy. Clin Genet 2018; 94:259-263. [PMID: 29722023 DOI: 10.1111/cge.13376] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2018] [Revised: 04/26/2018] [Accepted: 05/01/2018] [Indexed: 12/13/2022]
Abstract
Seven new risk coding variants have been identified through an exome-wide association study (EWAS), which studied the contributions of protein-coding variants to leprosy susceptibility. But some potential susceptibility loci were not studied in the previous EWAS study because of the project consideration. Seventeen unstudied potential susceptibility loci of the previous EWAS were validated in 3169 cases and 9814 controls in this study. Four disease-associated exonic loci were identified: rs671 in ALDH2 (P = 2.0 × 10-20 , odds ratio [OR] = 1.35), rs13259978 in SLC7A2 (P = 1.74 × 10-8 , OR = 1.28), rs925368 in GIT2 (P = 9.18 × 10-17 , OR = 1.44), and rs75680863 in TCN2 (P = 8.37 × 10-21 , OR = 0.74). Potentially implicating ZFP36L1 as a new susceptibility gene, 1 intergenic single nucleotide polymorphism (SNP), rs1465788 (P = 7.81 × 10-6 , OR = 0.88), was also suggested to be associated with leprosy. A luciferase reporter assay showed that the rs1465788 risk allele notably decreased the transcription activity of the flanking sequence. These findings suggest the possible involvement of lipid metabolism, NF-κB homeostasis and macrophage antimicrobial pathways in leprosy pathogenesis.
Collapse
Affiliation(s)
- Z Wang
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China.,Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China.,Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, China
| | - Z Mi
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China.,Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China.,Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, China
| | - H Wang
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China.,Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China.,Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, China.,School of Medicine, Shandong University, Jinan, China
| | - L Sun
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China.,Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China.,Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, China
| | - G Yu
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China.,Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China.,Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, China
| | - X Fu
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China.,Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China.,Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, China.,School of Medicine, Shandong University, Jinan, China
| | - C Wang
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China.,Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China.,Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, China
| | - F Bao
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China.,Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China.,Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, China
| | - Z Yue
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China.,Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China.,Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, China.,School of Medicine, Shandong University, Jinan, China
| | - Q Zhao
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China.,Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China.,Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, China.,School of Medicine, Shandong University, Jinan, China
| | - N Wang
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China.,Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China.,Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, China.,School of Medicine, Shandong University, Jinan, China
| | - X Cheng
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China.,Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China.,Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, China.,School of Medicine, Shandong University, Jinan, China
| | - H Liu
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China.,Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China.,Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, China.,Shandong Provincial Medical Center for Dermatovenereology, Jinan, China
| | - F Zhang
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China.,Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China.,Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, China.,School of Medicine, Shandong University, Jinan, China.,Shandong Provincial Medical Center for Dermatovenereology, Jinan, China.,School of Medicine and Life Science, University of Jinan-Shandong Academy of Medical Sciences, Jinan, China.,National Clinical Key Project of Dermatology and Venereology, Jinan, China
| |
Collapse
|
40
|
Qi H, Zhang YB, Sun L, Chen C, Xu B, Xu F, Liu JW, Liu JC, Chen C, Jiao WW, Shen C, Xiao J, Li JQ, Guo YJ, Wang YH, Li QJ, Yin QQ, Li YJ, Wang T, Wang XY, Gu ML, Yu J, Shen AD. Discovery of susceptibility loci associated with tuberculosis in Han Chinese. Hum Mol Genet 2018; 26:4752-4763. [PMID: 29036319 DOI: 10.1093/hmg/ddx365] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2017] [Accepted: 09/19/2017] [Indexed: 12/22/2022] Open
Abstract
Genome-wide association studies (GWASs) have revealed the worldwide heterogeneity of genetic factors in tuberculosis (TB) susceptibility. Despite having the third highest global TB burden, no TB-related GWAS has been performed in China. Here, we performed the first three-stage GWAS on TB in the Han Chinese population. In the stage 1 (discovery stage), after quality control, 691 388 SNPs present in 972 TB patients and 1537 controls were retained. After replication on an additional 3460 TB patients and 4862 controls (stages 2 and 3), we identified three significant loci associated with TB, the most significant of which was rs4240897 (logistic regression P = 1.41 × 10-11, odds ratio = 0.79). The aforementioned three SNPs were harbored by MFN2, RGS12 and human leukocyte antigen class II beta chain paralogue encoding genes, all of which are candidate immune genes associated with TB. Our findings provide new insight into the genetic background of TB in the Han Chinese population.
Collapse
Affiliation(s)
- Hui Qi
- Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics (Capital Medical University), Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Yong-Biao Zhang
- Chinese Academy of Sciences and Key Laboratory of Genome Science and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Lin Sun
- Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics (Capital Medical University), Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Cheng Chen
- Department of Chronic Communicable Disease, Center for Disease Control and Prevention, Jiangsu 210009, China
| | - Biao Xu
- School of Public Health, Fudan University, Shanghai 200433, China.,Department of Public Health Sciences (Global Health/IHCAR), Karolinska Institute, S-17177 Stockholm, Sweden
| | - Fang Xu
- Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics (Capital Medical University), Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Jia-Wen Liu
- Beijing Geriatric Hospital, Beijing 100095, China
| | - Jin-Cheng Liu
- Tuberculosis Hospital of Shaanxi Province 710100, Shaanxi Province, China
| | - Chen Chen
- Tuberculosis Hospital of Shaanxi Province 710100, Shaanxi Province, China
| | - Wei-Wei Jiao
- Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics (Capital Medical University), Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Chen Shen
- Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics (Capital Medical University), Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Jing Xiao
- Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics (Capital Medical University), Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Jie-Qiong Li
- Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics (Capital Medical University), Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Ya-Jie Guo
- Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics (Capital Medical University), Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Yong-Hong Wang
- Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics (Capital Medical University), Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Qin-Jing Li
- Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics (Capital Medical University), Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Qing-Qin Yin
- Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics (Capital Medical University), Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Ying-Jia Li
- Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics (Capital Medical University), Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Ting Wang
- Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics (Capital Medical University), Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Xing-Yun Wang
- Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics (Capital Medical University), Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Ming-Liang Gu
- Chinese Academy of Sciences and Key Laboratory of Genome Science and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Jun Yu
- Chinese Academy of Sciences and Key Laboratory of Genome Science and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - A-Dong Shen
- Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics (Capital Medical University), Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| |
Collapse
|
41
|
Wang D, Fan Y, Malhi M, Bi R, Wu Y, Xu M, Yu XF, Long H, Li YY, Zhang DF, Yao YG. Missense Variants in HIF1A and LACC1 Contribute to Leprosy Risk in Han Chinese. Am J Hum Genet 2018; 102:794-805. [PMID: 29706348 DOI: 10.1016/j.ajhg.2018.03.006] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2017] [Accepted: 03/01/2018] [Indexed: 12/20/2022] Open
Abstract
Genome-wide association studies (GWASs) and genome-wide linkage studies (GWLSs) have identified numerous risk genes affecting the susceptibility to leprosy. However, most of the reported GWAS hits are noncoding variants and account for only part of the estimated heritability for this disease. In order to identify additional risk genes and map the potentially functional variants within the GWAS loci, we performed a three-stage study combining whole-exome sequencing (WES; discovery stage), targeted next-generation sequencing (NGS; screening stage), and refined validation of risk missense variants in 1,433 individuals with leprosy and 1,625 healthy control individuals from Yunnan Province, Southwest China. We identified and validated a rare damaging variant, rs142179458 (c.1045G>A [p.Asp349Asn]) in HIF1A, as contributing to leprosy risk (p = 4.95 × 10-9, odds ratio [OR] = 2.266). We were able to show that affected individuals harboring the risk allele presented with multibacillary leprosy at an earlier age (p = 0.025). We also confirmed the association between missense variant rs3764147 (c.760A>G [p.Ile254Val]) in the GWAS hit LACC1 (formerly C13orf31) and leprosy (p = 6.11 × 10-18, OR = 1.605). By using the population attributable fraction, we have shown that HIF1A and LACC1 are the major genes with missense variants contributing to leprosy risk in our study groups. Consistently, mRNA expression levels of both HIF1A and LACC1 were upregulated in the skin lesions of individuals with leprosy and in Mycobacterium leprae-stimulated cells, indicating an active role of HIF1A and LACC1 in leprosy pathogenesis.
Collapse
|
42
|
Zhang H, Wang Z, Fu X, Sun Y, Mi Z, Yu G, Sun L, Wang N, Wang C, Zhao Q, Pan Q, Yue Z, Liu H, Zhang F. A pathway-based association analysis identified FMNL1-MAP3K14 as susceptibility genes for leprosy. Exp Dermatol 2018; 27:245-250. [PMID: 29283461 DOI: 10.1111/exd.13490] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/20/2017] [Indexed: 02/04/2023]
Abstract
The nuclear transcription factor-κB (NF-κB) plays a pivotal role in controlling both innate and adaptive immunity and regulates the expressions of many immunological mediators. Abundant evidences have showed the importance of NF-κB pathway in the host immune responses against Mycobacterium leprae in the development of leprosy. However, no particular association study between leprosy and NF-κB pathway-related gene polymorphisms was reported. Here, we performed a large-scale and two-stage candidate association study to investigate the association between 94 NF-κB pathway-related genes and leprosy. Our results showed that rs58744688 was significantly associated with leprosy (P = 7.57 × 10-7 , OR = 1.12) by combining the previous genomewide association data sets and four independent validation sample series, consisting of a total of 4631 leprosy cases and 6413 healthy controls. This founding implicated that MAP3K14 and FMNL1 were susceptibility genes for leprosy, which suggested the involvement of macrophage targeting and NF-κB pathway in the development of leprosy.
Collapse
Affiliation(s)
- Huimin Zhang
- Binzhou Medical University, Yantai, Shandong, China
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, Shandong, China
| | - Zhenzhen Wang
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, Shandong, China
| | - Xi'an Fu
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, Shandong, China
- School of Medicine, Shandong University, Jinan, Shandong, China
| | - Yonghu Sun
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, Shandong, China
| | - Zihao Mi
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, Shandong, China
| | - Gongqi Yu
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, Shandong, China
- School of Medicine and Life Science, University of Jinan-Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Lele Sun
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, Shandong, China
| | - Na Wang
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, Shandong, China
- School of Medicine, Shandong University, Jinan, Shandong, China
| | - Chuan Wang
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, Shandong, China
| | - Qing Zhao
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, Shandong, China
- School of Medicine, Shandong University, Jinan, Shandong, China
| | - Qing Pan
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, Shandong, China
| | - Zhenhua Yue
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, Shandong, China
- School of Medicine, Shandong University, Jinan, Shandong, China
| | - Hong Liu
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, Shandong, China
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, Shandong, China
| | - Furen Zhang
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Laboratory for Dermatovenereology, Jinan, Shandong, China
- School of Medicine, Shandong University, Jinan, Shandong, China
- School of Medicine and Life Science, University of Jinan-Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, Shandong, China
- National Clinical Key Project of Dermatology and Venereology, Jinan, Shandong, China
| |
Collapse
|
43
|
Mozzi A, Pontremoli C, Sironi M. Genetic susceptibility to infectious diseases: Current status and future perspectives from genome-wide approaches. INFECTION GENETICS AND EVOLUTION 2017; 66:286-307. [PMID: 28951201 PMCID: PMC7106304 DOI: 10.1016/j.meegid.2017.09.028] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 09/20/2017] [Accepted: 09/21/2017] [Indexed: 02/06/2023]
Abstract
Genome-wide association studies (GWASs) have been widely applied to identify genetic factors that affect complex diseases or traits. Presently, the GWAS Catalog includes > 2800 human studies. Of these, only a minority have investigated the susceptibility to infectious diseases or the response to therapies for the treatment or prevention of infections. Despite their limited application in the field, GWASs have provided valuable insights by pinpointing associations to both innate and adaptive immune response loci, as well as novel unexpected risk factors for infection susceptibility. Herein, we discuss some issues and caveats of GWASs for infectious diseases, we review the most recent findings ensuing from these studies, and we provide a brief summary of selected GWASs for infections in non-human mammals. We conclude that, although the general trend in the field of complex traits is to shift from GWAS to next-generation sequencing, important knowledge on infectious disease-related traits can be still gained by GWASs, especially for those conditions that have never been investigated using this approach. We suggest that future studies will benefit from the leveraging of information from the host's and pathogen's genomes, as well as from the exploration of models that incorporate heterogeneity across populations and phenotypes. Interactions within HLA genes or among HLA variants and polymorphisms located outside the major histocompatibility complex may also play an important role in shaping the susceptibility and response to invading pathogens. Relatively few GWASs for infectious diseases were performed. Phenotype heterogeneity and case/control misclassification can affect GWAS power. Adaptive and innate immunity loci were identified in several infectious disease GWASs. Unexpected loci (e.g., lncRNAs) were also associated with infection susceptibility. GWASs should integrate host and pathogen diversity and use complex association models.
Collapse
Affiliation(s)
- Alessandra Mozzi
- Bioinformatics, Scientific Institute IRCCS E.MEDEA, 23842 Bosisio Parini, Italy
| | - Chiara Pontremoli
- Bioinformatics, Scientific Institute IRCCS E.MEDEA, 23842 Bosisio Parini, Italy
| | - Manuela Sironi
- Bioinformatics, Scientific Institute IRCCS E.MEDEA, 23842 Bosisio Parini, Italy.
| |
Collapse
|
44
|
Liu H, Wang Z, Li Y, Yu G, Fu X, Wang C, Liu W, Yu Y, Bao F, Irwanto A, Liu J, Chu T, Andiappan AK, Maurer-Stroh S, Limviphuvadh V, Wang H, Mi Z, Sun Y, Sun L, Wang L, Wang C, You J, Li J, Foo JN, Liany H, Meah WY, Niu G, Yue Z, Zhao Q, Wang N, Yu M, Yu W, Cheng X, Khor CC, Sim KS, Aung T, Wang N, Wang D, Shi L, Ning Y, Zheng Z, Yang R, Li J, Yang J, Yan L, Shen J, Zhang G, Chen S, Liu J, Zhang F. Genome-Wide Analysis of Protein-Coding Variants in Leprosy. J Invest Dermatol 2017; 137:2544-2551. [PMID: 28842327 DOI: 10.1016/j.jid.2017.08.004] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Revised: 07/09/2017] [Accepted: 08/02/2017] [Indexed: 12/12/2022]
Abstract
Although genome-wide association studies have greatly advanced our understanding of the contribution of common noncoding variants to leprosy susceptibility, protein-coding variants have not been systematically investigated. We carried out a three-stage genome-wide association study of protein-coding variants in Han Chinese, of whom were 7,048 leprosy patients and 14,398 were healthy control subjects. Seven coding variants of exome-wide significance were discovered, including two rare variants: rs145562243 in NCKIPSD (P = 1.71 × 10-9, odds ratio [OR] = 4.35) and rs149308743 in CARD9 (P = 2.09 × 10-8, OR = 4.75); three low-frequency variants: rs76418789 in IL23R (P = 1.03 × 10-10, OR = 1.36), rs146466242 in FLG (P = 3.39 × 10-12, OR = 1.45), and rs55882956 in TYK2 (P = 1.04 × 10-6, OR = 1.30); and two common variants: rs780668 in SLC29A3 (P = 2.17 × 10-9, OR = 1.14) and rs181206 in IL27 (P = 1.08 × 10-7, OR = 0.83). Discovered protein-coding variants, particularly low-frequency and rare ones, showed involvement of skin barrier and endocytosis/phagocytosis/autophagy, in addition to known innate and adaptive immunity, in the pathogenesis of leprosy, highlighting the merits of protein-coding variant studies for complex diseases.
Collapse
Affiliation(s)
- Hong Liu
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China; Shandong Provincial Key Lab for Dermatovenereology, Jinan, China; Shandong Provincial Medical Center for Dermatovenereology, Jinan, China
| | - Zhenzhen Wang
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China; Shandong Provincial Key Lab for Dermatovenereology, Jinan, China
| | - Yi Li
- Human Genetics, Genome Institute of Singapore, A*STAR, Singapore; Computational Sciences, The Jackson Laboratory, Farmington, Connecticut, USA
| | - Gongqi Yu
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Key Lab for Dermatovenereology, Jinan, China
| | - Xi'an Fu
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Key Lab for Dermatovenereology, Jinan, China; School of Medicine, Shandong University, Jinan, China
| | - Chuan Wang
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Key Lab for Dermatovenereology, Jinan, China
| | - Wenting Liu
- Human Genetics, Genome Institute of Singapore, A*STAR, Singapore
| | - Yongxiang Yu
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China
| | - Fangfang Bao
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Key Lab for Dermatovenereology, Jinan, China
| | - Astrid Irwanto
- Human Genetics, Genome Institute of Singapore, A*STAR, Singapore
| | - Jian Liu
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China
| | - Tongsheng Chu
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China
| | - Anand Kumar Andiappan
- Singapore Immunology Network, Agency for Science, Technology and Research Singapore, Singapore
| | - Sebastian Maurer-Stroh
- Biomolecular Function Discovery Division, Bioinformatics Institute, A*STAR, Singapore; School of Biological Sciences, Nanyang Technological University, Singapore
| | | | - Honglei Wang
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Key Lab for Dermatovenereology, Jinan, China; School of Medicine, Shandong University, Jinan, China
| | - Zihao Mi
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Key Lab for Dermatovenereology, Jinan, China
| | - Yonghu Sun
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Key Lab for Dermatovenereology, Jinan, China
| | - Lele Sun
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Key Lab for Dermatovenereology, Jinan, China
| | - Ling Wang
- Human Genetics, Genome Institute of Singapore, A*STAR, Singapore
| | - Chaolong Wang
- Computational and Systems Biology, Genome Institute of Singapore, A*STAR, Singapore
| | - Jiabao You
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China
| | - Jinghui Li
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China
| | - Jia Nee Foo
- Human Genetics, Genome Institute of Singapore, A*STAR, Singapore
| | - Herty Liany
- Human Genetics, Genome Institute of Singapore, A*STAR, Singapore
| | - Wee Yang Meah
- Human Genetics, Genome Institute of Singapore, A*STAR, Singapore
| | - Guiye Niu
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China; Shandong Provincial Key Lab for Dermatovenereology, Jinan, China
| | - Zhenhua Yue
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Key Lab for Dermatovenereology, Jinan, China; School of Medicine, Shandong University, Jinan, China
| | - Qing Zhao
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Key Lab for Dermatovenereology, Jinan, China; School of Medicine, Shandong University, Jinan, China
| | - Na Wang
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Key Lab for Dermatovenereology, Jinan, China; School of Medicine, Shandong University, Jinan, China
| | - Meiwen Yu
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
| | - Wenjun Yu
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Key Lab for Dermatovenereology, Jinan, China; School of Medicine and Life Science, University of Jinan-Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Xiujun Cheng
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Key Lab for Dermatovenereology, Jinan, China; School of Medicine, Shandong University, Jinan, China
| | - Chiea Chuen Khor
- Human Genetics, Genome Institute of Singapore, A*STAR, Singapore
| | - Kar Seng Sim
- Human Genetics, Genome Institute of Singapore, A*STAR, Singapore
| | - Tin Aung
- Singapore National Eye Centre, Glaucoma Department, Singapore
| | - Ningli Wang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Science Key Lab, Beijing, China
| | - Deyun Wang
- Department of Otolaryngology, National University of Singapore, Singapore
| | - Li Shi
- Department of Otolaryngology, the Second Affiliated Hospital, Shandong University, Jinan, China
| | - Yong Ning
- Sichuan Provincial Institute of Dermatology, Sichuan, China
| | - Zhongyi Zheng
- Honghe Institute of Dermatology, Honghe, Yunnan, China
| | - Rongde Yang
- Wenshan Institute of Dermatology, Wenshan, Yunnan, China
| | - Jinlan Li
- Guizhou Provincial Center for Disease Control and Prevention, Guizhou, China
| | - Jun Yang
- Yunnan Provincial Center for Disease Control and Prevention, Yunnan, China
| | - Liangbin Yan
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
| | - Jianping Shen
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
| | - Guocheng Zhang
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
| | - Shumin Chen
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China
| | - Jianjun Liu
- Human Genetics, Genome Institute of Singapore, A*STAR, Singapore
| | - Furen Zhang
- Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Jinan, China; Shandong Provincial Hospital for Skin Diseases, Shandong University, Jinan, China; Shandong Provincial Key Lab for Dermatovenereology, Jinan, China; Shandong Provincial Medical Center for Dermatovenereology, Jinan, China; School of Medicine, Shandong University, Jinan, China; School of Medicine and Life Science, University of Jinan-Shandong Academy of Medical Sciences, Jinan, Shandong, China; National Clinical Key Project of Dermatology and Venereology, Jinan, China.
| |
Collapse
|
45
|
Fava VM, Manry J, Cobat A, Orlova M, Van Thuc N, Moraes MO, Sales-Marques C, Stefani MMA, Latini ACP, Belone AF, Thai VH, Abel L, Alcaïs A, Schurr E. A genome wide association study identifies a lncRna as risk factor for pathological inflammatory responses in leprosy. PLoS Genet 2017; 13:e1006637. [PMID: 28222097 PMCID: PMC5340414 DOI: 10.1371/journal.pgen.1006637] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2016] [Revised: 03/07/2017] [Accepted: 02/14/2017] [Indexed: 01/23/2023] Open
Abstract
Leprosy Type-1 Reactions (T1Rs) are pathological inflammatory responses that afflict a sub-group of leprosy patients and result in peripheral nerve damage. Here, we employed a family-based GWAS in 221 families with 229 T1R-affect offspring with stepwise replication to identify risk factors for T1R. We discovered, replicated and validated T1R-specific associations with SNPs located in chromosome region 10p21.2. Combined analysis across the three independent samples resulted in strong evidence of association of rs1875147 with T1R (p = 4.5x10-8; OR = 1.54, 95% CI = 1.32–1.80). The T1R-risk locus was restricted to a lncRNA-encoding genomic interval with rs1875147 being an eQTL for the lncRNA. Since a genetic overlap between leprosy and inflammatory bowel disease (IBD) has been detected, we evaluated if the shared genetic control could be traced to the T1R endophenotype. Employing the results of a recent IBD GWAS meta-analysis we found that 10.6% of IBD SNPs available in our dataset shared a common risk-allele with T1R (p = 2.4x10-4). This finding points to a substantial overlap in the genetic control of clinically diverse inflammatory disorders. Leprosy still affects approximately 200,000 new victims each year. A major challenge of leprosy control is the prevention of permanent disability due to nerve damage. Nerve damage occurs if leprosy remains undiagnosed for extended periods or when patients undergo pathological inflammatory responses termed Type-1 Reactions (T1R). T1R is a rare example where beneficial inflammatory responses are temporal separated from host pathological responses. There is strong experimental evidence that supports a role of host genetic factors in T1R susceptibility. Here, we employed a genome-wide association study (GWAS) to investigate susceptibility factors for T1R in Vietnamese families. We followed up the initial GWAS findings in independent population samples from Vietnam and Brazil and identified a set of cis-eQTL genetic variants for the ENSG00000235140 lncRNA as global risk factors for T1R. To test our proposal that T1R is a strong model for pathological inflammatory responses we evaluated if inflammatory bowel disease (IBD) genetic risk-factors were enriched among T1R risk factors. We observed that more than 10% of IBD-risk loci were nominally associated with risk for T1R suggesting a shared mechanism of excessive inflammatory response in the both disease etiologies.
Collapse
Affiliation(s)
- Vinicius M. Fava
- Program in Infectious Diseases and Immunity in Global Health, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
- The McGill International TB Centre, Departments of Human Genetics and Medicine, McGill University, Montreal, Quebec, Canada
- * E-mail: (ES); (VMF)
| | - Jeremy Manry
- Program in Infectious Diseases and Immunity in Global Health, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
- The McGill International TB Centre, Departments of Human Genetics and Medicine, McGill University, Montreal, Quebec, Canada
| | - Aurélie Cobat
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, Institut National de la Santé et de la Recherche Médicale U.1163, Paris, France
- University Paris Descartes, Imagine Institute, Paris, France
- Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, Rockefeller University, New York, United States of America
| | - Marianna Orlova
- Program in Infectious Diseases and Immunity in Global Health, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
- The McGill International TB Centre, Departments of Human Genetics and Medicine, McGill University, Montreal, Quebec, Canada
| | | | - Milton O. Moraes
- Laboratório de Hanseníase, Instituto Oswaldo Cruz, FIOCRUZ, Rio de Janeiro, Brazil
| | | | - Mariane M. A. Stefani
- Tropical Pathology and Public Health Institute, Federal University of Goiás, Goiânia, Brazil
| | | | | | - Vu Hong Thai
- Hospital for Dermato-Venerology, Ho Chi Minh City, Vietnam
| | - Laurent Abel
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, Institut National de la Santé et de la Recherche Médicale U.1163, Paris, France
- University Paris Descartes, Imagine Institute, Paris, France
- Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, Rockefeller University, New York, United States of America
| | - Alexandre Alcaïs
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, Institut National de la Santé et de la Recherche Médicale U.1163, Paris, France
- University Paris Descartes, Imagine Institute, Paris, France
- Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, Rockefeller University, New York, United States of America
| | - Erwin Schurr
- Program in Infectious Diseases and Immunity in Global Health, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
- The McGill International TB Centre, Departments of Human Genetics and Medicine, McGill University, Montreal, Quebec, Canada
- * E-mail: (ES); (VMF)
| |
Collapse
|