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Ye X, Guerin LN, Chen Z, Rajendren S, Dunker W, Zhao Y, Zhang R, Hodges E, Karijolich J. Enhancer-promoter activation by the Kaposi sarcoma-associated herpesvirus episome maintenance protein LANA. Cell Rep 2024; 43:113888. [PMID: 38416644 PMCID: PMC11005752 DOI: 10.1016/j.celrep.2024.113888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 12/29/2023] [Accepted: 02/14/2024] [Indexed: 03/01/2024] Open
Abstract
Higher-order genome structure influences the transcriptional regulation of cellular genes through the juxtaposition of regulatory elements, such as enhancers, close to promoters of target genes. While enhancer activation has emerged as an important facet of Kaposi sarcoma-associated herpesvirus (KSHV) biology, the mechanisms controlling enhancer-target gene expression remain obscure. Here, we discover that the KSHV genome tethering protein latency-associated nuclear antigen (LANA) potentiates enhancer-target gene expression in primary effusion lymphoma (PEL), a highly aggressive B cell lymphoma causally associated with KSHV. Genome-wide analyses demonstrate increased levels of enhancer RNA transcription as well as activating chromatin marks at LANA-bound enhancers. 3D genome conformation analyses identified genes critical for latency and tumorigenesis as targets of LANA-occupied enhancers, and LANA depletion results in their downregulation. These findings reveal a mechanism in enhancer-gene coordination and describe a role through which the main KSHV tethering protein regulates essential gene expression in PEL.
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Affiliation(s)
- Xiang Ye
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Lindsey N Guerin
- Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Ziche Chen
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Suba Rajendren
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - William Dunker
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Yang Zhao
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Ruilin Zhang
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Emily Hodges
- Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Vanderbilt-Ingram Cancer Center, Nashville, TN 37232, USA; Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - John Karijolich
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Vanderbilt-Ingram Cancer Center, Nashville, TN 37232, USA; Vanderbilt Institute for Infection, Immunology, and Inflammation, Nashville, TN 37232, USA; Vanderbilt Center for Immunobiology, Nashville, TN 37232, USA.
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2
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Lloyd D, House JS, Akhtari FS, Schmitt CP, Fargo DC, Scholl EH, Phillips J, Choksi S, Shah R, Hall JE, Motsinger-Reif AA. Interactive data sharing for multiple questionnaire-based exposome-wide association studies and exposome correlations in the Personalized Environment and Genes Study. EXPOSOME 2024; 4:osae003. [PMID: 38425336 PMCID: PMC10899804 DOI: 10.1093/exposome/osae003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 11/20/2023] [Accepted: 01/01/2024] [Indexed: 03/02/2024]
Abstract
The correlations among individual exposures in the exposome, which refers to all exposures an individual encounters throughout life, are important for understanding the landscape of how exposures co-occur, and how this impacts health and disease. Exposome-wide association studies (ExWAS), which are analogous to genome-wide association studies (GWAS), are increasingly being used to elucidate links between the exposome and disease. Despite increased interest in the exposome, tools and publications that characterize exposure correlations and their relationships with human disease are limited, and there is a lack of data and results sharing in resources like the GWAS catalog. To address these gaps, we developed the PEGS Explorer web application to explore exposure correlations in data from the diverse North Carolina-based Personalized Environment and Genes Study (PEGS) that were rigorously calculated to account for differing data types and previously published results from ExWAS. Through globe visualizations, PEGS Explorer allows users to explore correlations between exposures found to be associated with complex diseases. The exposome data used for analysis includes not only standard environmental exposures such as point source pollution and ozone levels but also exposures from diet, medication, lifestyle factors, stress, and occupation. The web application addresses the lack of accessible data and results sharing, a major challenge in the field, and enables users to put results in context, generate hypotheses, and, importantly, replicate findings in other cohorts. PEGS Explorer will be updated with additional results as they become available, ensuring it is an up-to-date resource in exposome science.
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Affiliation(s)
- Dillon Lloyd
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA
| | - John S House
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA
| | - Farida S Akhtari
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA
| | - Charles P Schmitt
- Division of Translational Toxicology, National Institute of Environmental Health Sciences, Durham, NC, USA
| | - David C Fargo
- Office of the Director, National Institute of Environmental Health Sciences, Durham, NC, USA
| | | | | | | | | | - Janet E Hall
- Clinical Research Branch, National Institute of Environmental Health Sciences, Durham, NC, USA
| | - Alison A Motsinger-Reif
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA
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Zhou D, Zhou T, Tang S, Li Q, Li W, Gan G, Li M, Chen Q. Network pharmacology combined with Mendelian randomization analysis to identify the key targets of renin-angiotensin-aldosterone system inhibitors in the treatment of diabetic nephropathy. Front Endocrinol (Lausanne) 2024; 15:1354950. [PMID: 38332893 PMCID: PMC10850565 DOI: 10.3389/fendo.2024.1354950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 01/04/2024] [Indexed: 02/10/2024] Open
Abstract
Background Diabetic Nephropathy (DN) is one of the microvascular complications of diabetes. The potential targets of renin-angiotensin-aldosterone system (RAAS) inhibitors for the treatment of DN need to be explored. Methods The GSE96804 and GSE1009 datasets, 729 RAAS inhibitors-related targets and 6,039 DN-related genes were derived from the public database and overlapped with the differentially expressed genes (DN vs. normal) in GSE96804 to obtain the candidate targets. Next, key targets were screened via the Mendelian randomization analysis and expression analysis. The diagnostic nomogram was constructed and assessed in GSE96804. Additionally, enrichment analysis was conducted and a 'core active ingredient-key target-disease pathway' network was established. Finally, molecular docking was performed. Results In total, 60 candidate targets were derived, in which CTSC and PDE5A were screened as the key targets and had a causal association with DN as the protective factors (P < 0.05, OR < 1). Further, a nomogram exhibited pretty prediction efficiency. It is indicated that Benadryl hydrochloride might play a role in the DN by affecting the pathways of 'cytokine cytokine receptor interaction', etc. targeting the CTSC. Moreover, PDE5A might be involved in 'ECM receptor interaction', etc. for the effect of NSAID, captopril, chlordiazepoxide on DN. Molecular docking analysis showed a good binding ability of benadryl hydrochloride and CTSC, NSAID and PDE5A. PTGS2, ITGA4, and ANPEP are causally associated with acute kidney injury. Conclusion CTSC and PDE5A were identified as key targets for RAAS inhibitors in the treatment of DN, which might provide some clinical significance in helping to diagnose and treat DN. Among the targets of RAAS inhibitors, PTGS2, ITGA4 and ANPEP have a causal relationship with acute kidney injury, which is worthy of further clinical research.
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Affiliation(s)
- Dongqi Zhou
- Department of Traditional Chinese Medicine, Taikang Hospital of Sichuan Province, Chengdu, Sichuan, China
| | - Ting Zhou
- Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Shiyun Tang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Qing Li
- Department of Endocrine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Wen Li
- Department of Endocrine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Gaofeng Gan
- Department of Traditional Chinese Medicine, Taikang Hospital of Sichuan Province, Chengdu, Sichuan, China
| | - Mingqiao Li
- Department of Traditional Chinese Medicine and Orthopedics, Sichuan Provincial People’s Hospital, Chengdu, Sichuan, China
| | - Qiu Chen
- Department of Endocrine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
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Lv Y, Wen L, Hu WJ, Deng C, Ren HW, Bao YN, Su BW, Gao P, Man ZY, Luo YY, Li CJ, Xiang ZX, Wang B, Luan ZL. Schizophrenia in the genetic era: a review from development history, clinical features and genomic research approaches to insights of susceptibility genes. Metab Brain Dis 2024; 39:147-171. [PMID: 37542622 DOI: 10.1007/s11011-023-01271-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 07/27/2023] [Indexed: 08/07/2023]
Abstract
Schizophrenia is a devastating neuropsychiatric disorder affecting 1% of the world population and ranks as one of the disorders providing the most severe burden for society. Schizophrenia etiology remains obscure involving multi-risk factors, such as genetic, environmental, nutritional, and developmental factors. Complex interactions of genetic and environmental factors have been implicated in the etiology of schizophrenia. This review provides an overview of the historical origins, pathophysiological mechanisms, diagnosis, clinical symptoms and corresponding treatment of schizophrenia. In addition, as schizophrenia is a polygenic, genetic disorder caused by the combined action of multiple micro-effective genes, we further detail several approaches, such as candidate gene association study (CGAS) and genome-wide association study (GWAS), which are commonly used in schizophrenia genomics studies. A number of GWASs about schizophrenia have been performed with the hope to identify novel, consistent and influential risk genetic factors. Finally, some schizophrenia susceptibility genes have been identified and reported in recent years and their biological functions are also listed. This review may serve as a summary of past research on schizophrenia genomics and susceptibility genes (NRG1, DISC1, RELN, BDNF, MSI2), which may point the way to future schizophrenia genetics research. In addition, depending on the above discovery of susceptibility genes and their exact function, the development and application of antipsychotic drugs will be promoted in the future.
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Affiliation(s)
- Ye Lv
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Lin Wen
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Wen-Juan Hu
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Chong Deng
- Department of Neurosurgery, The Second Affiliated Hospital of Dalian Medical University, Dalian, 116027, China
| | - Hui-Wen Ren
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Ya-Nan Bao
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Bo-Wei Su
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Ping Gao
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Zi-Yue Man
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Yi-Yang Luo
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Cheng-Jie Li
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Zhi-Xin Xiang
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Bing Wang
- Department of Endocrinology and Metabolism, The Central hospital of Dalian University of Technology, Dalian, 116000, China.
| | - Zhi-Lin Luan
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China.
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Kim J, Moon JW, Kim GR, Kim W, Hu HJ, Jo WJ, Baek SK, Sung GH, Park JH, Park JH. Safety tests and clinical research on buccal and nasal microneedle swabs for genomic analysis. Front Bioeng Biotechnol 2023; 11:1296832. [PMID: 38116201 PMCID: PMC10729317 DOI: 10.3389/fbioe.2023.1296832] [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: 09/19/2023] [Accepted: 11/17/2023] [Indexed: 12/21/2023] Open
Abstract
Conventional swabs have been used as a non-invasive method to obtain samples for DNA analysis from the buccal and the nasal mucosa. However, swabs may not always collect pure enough genetic material. In this study, buccal and nasal microneedle swab is developed to improve the accuracy and reliability of genomic analysis. A cytotoxicity test, a skin sensitivity test, and a skin irritation test are conducted with microneedle swabs. Polymer microneedle swabs meet the safety requirements for clinical research and commercial use. When buccal and nasal microneedle swabs are used, the amount of genetic material obtained is greater than that from commercially available swabs, and DNA purity is also high. The comparatively short microneedle swab (250 μm long) cause almost no pain to all 25 participants. All participants also report that the microneedle swabs are very easy to use. When genotypes are compared at five SNP loci from blood of a participant and from that person's buccal or nasal microneedle swab, the buccal and nasal microneedle swabs show 100% concordance for all five SNP genotypes. Microneedle swabs can be effectively used for genomic analysis and prevention through genomic analysis, so the utilization of microneedle swabs is expected to be high.
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Affiliation(s)
- JeongHyeon Kim
- Department of Bionano Technology and Gachon BioNano Research Institute, Gachon University, Seongnam, Republic of Korea
| | | | | | - Wonsub Kim
- Endomics Inc, Seongnam, Republic of Korea
| | - Hae-Jin Hu
- Endomics Inc, Seongnam, Republic of Korea
| | - Won-Jun Jo
- QuadMedicine R&D Centre, QuadMedicine Co. Ltd., Seongnam, Republic of Korea
| | - Seung-Ki Baek
- QuadMedicine R&D Centre, QuadMedicine Co. Ltd., Seongnam, Republic of Korea
| | - Gil-Hwan Sung
- QuadMedicine R&D Centre, QuadMedicine Co. Ltd., Seongnam, Republic of Korea
| | - Jung Ho Park
- Department of Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jung-Hwan Park
- Department of Bionano Technology and Gachon BioNano Research Institute, Gachon University, Seongnam, Republic of Korea
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6
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Cankara F, Doğan T. ASCARIS: Positional feature annotation and protein structure-based representation of single amino acid variations. Comput Struct Biotechnol J 2023; 21:4743-4758. [PMID: 37822561 PMCID: PMC10562615 DOI: 10.1016/j.csbj.2023.09.017] [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: 04/16/2023] [Revised: 09/15/2023] [Accepted: 09/15/2023] [Indexed: 10/13/2023] Open
Abstract
Background Genomic variations may cause deleterious effects on protein functionality and perturb biological processes. Elucidating the effects of variations is critical for developing novel treatment strategies for diseases of genetic origin. Computational approaches have been aiding the work in this field by modeling and analyzing the mutational landscape. However, new approaches are required, especially for accurate representation and data-centric analysis of sequence variations. Method In this study, we propose ASCARIS (Annotation and StruCture-bAsed RepresentatIon of Single amino acid variations), a method for the featurization (i.e., quantitative representation) of single amino acid variations (SAVs), which could be used for a variety of purposes, such as predicting their functional effects or building multi-omics-based integrative models. ASCARIS utilizes the direct and spatial correspondence between the location of the SAV on the sequence/structure and 30 different types of positional feature annotations (e.g., active/lipidation/glycosylation sites; calcium/metal/DNA binding, inter/transmembrane regions, etc.), along with structural features and physicochemical properties. The main novelty of this method lies in constructing reusable numerical representations of SAVs via functional annotations. Results We statistically analyzed the relationship between these features and the consequences of variations and found that each carries information in this regard. To investigate potential applications of ASCARIS, we trained variant effect prediction models that utilize our SAV representations as input. We carried out an ablation study and a comparison against the state-of-the-art methods and observed that ASCARIS has a competing and complementary performance against widely-used predictors. ASCARIS can be used alone or in combination with other approaches to represent SAVs from a functional perspective. ASCARIS is available as a programmatic tool at https://github.com/HUBioDataLab/ASCARIS and as a web-service at https://huggingface.co/spaces/HUBioDataLab/ASCARIS.
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Affiliation(s)
- Fatma Cankara
- Biological Data Science Laboratory, Dept. of Computer Engineering, Hacettepe University, Ankara, Turkey
- Department of Health Informatics, Graduate School of Informatics, METU, Ankara, Turkey
- Department of Computational Sciences and Engineering, Koc University, Istanbul, Turkey
| | - Tunca Doğan
- Biological Data Science Laboratory, Dept. of Computer Engineering, Hacettepe University, Ankara, Turkey
- Institute of Informatics, Hacettepe University, Ankara, Turkey
- Department of Bioinformatics, Graduate School of Health Sciences, Hacettepe University, Ankara, Turkey
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Seyerle AA, Laurie CA, Coombes BJ, Jain D, Conomos MP, Brody J, Chen MH, Gogarten SM, Beutel KM, Gupta N, Heckbert SR, Jackson RD, Johnson AD, Ko D, Manson JE, McKnight B, Metcalf GA, Morrison AC, Reiner AP, Sofer T, Tang W, Wiggins KL, Boerwinkle E, de Andrade M, Gabriel SB, Gibbs RA, Laurie CC, Psaty BM, Vasan RS, Rice K, Kooperberg C, Pankow JS, Smith NL, Pankratz N. Whole Genome Analysis of Venous Thromboembolism: the Trans-Omics for Precision Medicine Program. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2023; 16:e003532. [PMID: 36960714 PMCID: PMC10151032 DOI: 10.1161/circgen.121.003532] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 01/04/2023] [Indexed: 03/25/2023]
Abstract
BACKGROUND Risk for venous thromboembolism has a strong genetic component. Whole genome sequencing from the TOPMed program (Trans-Omics for Precision Medicine) allowed us to look for new associations, particularly rare variants missed by standard genome-wide association studies. METHODS The 3793 cases and 7834 controls (11.6% of cases were individuals of African, Hispanic/Latino, or Asian ancestry) were analyzed using a single variant approach and an aggregate gene-based approach using our primary filter (included only loss-of-function and missense variants predicted to be deleterious) and our secondary filter (included all missense variants). RESULTS Single variant analyses identified associations at 5 known loci. Aggregate gene-based analyses identified only PROC (odds ratio, 6.2 for carriers of rare variants; P=7.4×10-14) when using our primary filter. Employing our secondary variant filter led to a smaller effect size at PROC (odds ratio, 3.8; P=1.6×10-14), while excluding variants found only in rare isoforms led to a larger one (odds ratio, 7.5). Different filtering strategies improved the signal for 2 other known genes: PROS1 became significant (minimum P=1.8×10-6 with the secondary filter), while SERPINC1 did not (minimum P=4.4×10-5 with minor allele frequency <0.0005). Results were largely the same when restricting the analyses to include only unprovoked cases; however, one novel gene, MS4A1, became significant (P=4.4×10-7 using all missense variants with minor allele frequency <0.0005). CONCLUSIONS Here, we have demonstrated the importance of using multiple variant filtering strategies, as we detected additional genes when filtering variants based on their predicted deleteriousness, frequency, and presence on the most expressed isoforms. Our primary analyses did not identify new candidate loci; thus larger follow-up studies are needed to replicate the novel MS4A1 locus and to identify additional rare variation associated with venous thromboembolism.
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Affiliation(s)
- Amanda A. Seyerle
- Division of Pharmaceutical Outcomes & Policy, Eshelman School of Pharmacy, Univ of North Carolina at Chapel Hill, Chapel Hill, NC
- Carolina Health Informatics Program, Univ of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | | | - Deepti Jain
- Dept of Biostatistics, Univ of Washington, Seattle, WA
| | | | - Jennifer Brody
- Cardiovascular Health Rsrch Unit, Univ of Washington, Seattle, WA
| | - Ming-Huei Chen
- NHLB’s The Framingham Heart Study, Population Sciences Branch, Division of Intramural Rsrch, National Heart, Lung, and Blood Inst, Framingham, MA
| | | | - Kathleen M. Beutel
- Dept of Laboratory Medicine & Pathology, School of Medicine, Univ of Minnesota, Minneapolis, MN
| | | | - Susan R. Heckbert
- Cardiovascular Health Rsrch Unit, Univ of Washington, Seattle, WA
- Dept of Epidemiology, Univ of Washington, Seattle, WA
| | - Rebecca D. Jackson
- Division of Endocrinology, Diabetes & Metabolism, Ohio State Univ, Columbus, OH
| | - Andrew D. Johnson
- NHLB’s The Framingham Heart Study, Population Sciences Branch, Division of Intramural Rsrch, National Heart, Lung, and Blood Inst, Framingham, MA
| | - Darae Ko
- Cardiovascular Medicine Section, Boston Univ School of Medicine
| | - JoAnn E. Manson
- Dept of Epidemiology, TH Chan School of Public Health, Harvard Univ, Boston, MA
| | | | | | - Alanna C. Morrison
- Human Genetics Ctr, Dept of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, Univ of Texas Health Science Ctr at Houston, Houston, TX
| | | | - Tamar Sofer
- Division of Sleep & Circadian Disorders, Brigham and Women’s Hospital
- Dept of Medicine, Harvard Medical School, Boston, MA
| | - Weihong Tang
- Division of Epidemiology & Community Health, Univ of Minnesota, Minneapolis, MN
| | - Kerri L. Wiggins
- Cardiovascular Health Rsrch Unit, Univ of Washington, Seattle, WA
| | | | - Eric Boerwinkle
- Human Genetics Ctr, Dept of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, Univ of Texas Health Science Ctr at Houston, Houston, TX
| | | | | | | | | | - Bruce M. Psaty
- Cardiovascular Health Rsrch Unit, Univ of Washington, Seattle, WA
- Dept of Epidemiology, Univ of Washington, Seattle, WA
- Depts of Medicine & Health Services, Univ of Washington, Seattle, WA
- Kaiser Permanente Washington Health Rsrch Inst, Seattle, WA
| | | | - Ken Rice
- Dept of Biostatistics, Univ of Washington, Seattle, WA
| | | | - James S. Pankow
- Division of Epidemiology & Community Health, Univ of Minnesota, Minneapolis, MN
| | - Nicholas L. Smith
- Cardiovascular Health Rsrch Unit, Univ of Washington, Seattle, WA
- Dept of Epidemiology, Univ of Washington, Seattle, WA
- Seattle Epidemiologic Rsrch & Information Ctr, VA Office of Rsrch & Development, Seattle, WA
| | - Nathan Pankratz
- Dept of Laboratory Medicine & Pathology, School of Medicine, Univ of Minnesota, Minneapolis, MN
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Church JA, Grigorenko EL, Fletcher JM. The Role of Neural and Genetic Processes in Learning to Read and Specific Reading Disabilities: Implications for Instruction. READING RESEARCH QUARTERLY 2023; 58:203-219. [PMID: 37456924 PMCID: PMC10348696 DOI: 10.1002/rrq.439] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Accepted: 06/29/2021] [Indexed: 07/18/2023]
Abstract
To learn to read, the brain must repurpose neural systems for oral language and visual processing to mediate written language. We begin with a description of computational models for how alphabetic written language is processed. Next, we explain the roles of a dorsal sublexical system in the brain that relates print and speech, a ventral lexical system that develops the visual expertise for rapid orthographic processing at the word level, and the role of cognitive control networks that regulate attentional processes as children read. We then use studies of children, adult illiterates learning to read, and studies of poor readers involved in intervention, to demonstrate the plasticity of these neural networks in development and in relation to instruction. We provide a brief overview of the rapid increase in the field's understanding and technology for assessing genetic influence on reading. Family studies of twins have shown that reading skills are heritable, and molecular genetic studies have identified numerous regions of the genome that may harbor candidate genes for the heritability of reading. In selected families, reading impairment has been associated with major genetic effects, despite individual gene contributions across the broader population that appear to be small. Neural and genetic studies do not prescribe how children should be taught to read, but these studies have underscored the critical role of early intervention and ongoing support. These studies also have highlighted how structured instruction that facilitates access to the sublexical components of words is a critical part of training the brain to read.
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Affiliation(s)
| | - Elena L Grigorenko
- University of Houston, Texas, USA; Baylor College of Medicine, Houston, Texas, USA; and St. Petersburg State University, Russia
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Abstract
The eye is the window through which light is transmitted and visual sensory signalling originates. It is also a window through which elements of the cardiovascular and nervous systems can be directly inspected, using ophthalmoscopy or retinal imaging. Measurements of ocular parameters may therefore offer important information on the physiology and homeostasis of these two important systems. Here we report the results of a genetic characterisation of retinal vasculature. Four genome-wide association studies performed on different aspects of retinal vasculometry phenotypes, such as arteriolar and venular tortuosity and width, found significant similarities between retinal vascular characteristics and cardiometabolic health. Our analyses identified 119 different regions of association with traits of retinal vasculature, including 89 loci associated arteriolar tortuosity, the strongest of which was rs35131825 (p = 2.00×10-108), 2 loci with arteriolar width (rs12969347, p = 3.30×10-09 and rs5442, p = 1.9E-15), 17 other loci associated with venular tortuosity and 11 novel associations with venular width. Our causal inference analyses also found that factors linked to arteriolar tortuosity cause elevated diastolic blood pressure and not vice versa.
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10
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Zhang TP, Li R, Wang LJ, Huang Q, Li HM. Roles of the m6A methyltransferases METTL3, METTL14, and WTAP in pulmonary tuberculosis. Front Immunol 2022; 13:992628. [PMID: 36569923 PMCID: PMC9768477 DOI: 10.3389/fimmu.2022.992628] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 08/15/2022] [Indexed: 12/13/2022] Open
Abstract
Objective The aim of the current study was to investigate the contributing role of gene variation and transcription levels among the m6A methyltransferases METTL3, METTL14, and WTAP in pulmonary tuberculosis (PTB). Methods A case-control study including 461 PTB patients and 467 normal controls was designed for genotyping. Three SNPs in METTL3 (rs1061027, rs1139130, rs1061026), three SNPs in METTL14 (rs62328061, rs4834698, rs1064034), and two SNPs in WTAP (rs1853259, rs11752345) were genotyped via the SNPscan™ technique. METTL3, METTL14, and WTAP transcription levels were determined in 78 PTB patients and 86 controls via quantitative real-time reverse-transcription PCR. Results Frequencies of the METTL14 rs62328061 GG genotype, WTAP rs11752345 CT genotype, and T allele were significantly increased in PTB patients compared to controls. An increased risk of rs62328061 was detected in a recessive model, and a decreased risk of rs11752345 was detected in a dominant model in the PTB group. METTL3 gene variation was not associated with PTB risk. The METTL3 rs1139130 GG genotype was significantly increased with drug resistance, and the G allele was significantly decreased with drug-induced liver injury in PTB patients. A reduced frequency of the METTL14 rs62328061 G allele was associated with leukopenia, a reduced frequency of the WTAP rs11752345 T allele was associated with sputum smear positivity, and a higher frequency of the METTL14 rs4834698 TC genotype was evident in PTB patients with hypoproteinemia. Compared to controls, METTL3, METTL14, and WTAP transcription levels in PTB patients were significantly decreased, and the level of WTAP was increased in PTB patients with drug resistance. METTL3 level was negatively associated with erythrocyte sedimentation rate and aspartate aminotransferase, and METTL14 level was negatively correlated with alanine aminotransferase and aspartate aminotransferase. Conclusion METTL14 rs62328061 and WTAP rs11752345 variants were associated with the genetic background of PTB, and METTL3, METTL14, and WTAP levels were abnormally decreased, suggesting that these m6A methyltransferases may play important roles in PTB.
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Affiliation(s)
- Tian-Ping Zhang
- Department of Rheumatology and Immunology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Rui Li
- Department of Nosocomial Infection Management, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Li-Jun Wang
- Department of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Qian Huang
- Department of Public Health, Medical Department, Qinghai University, Xining, China
| | - Hong-Miao Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China,*Correspondence: Hong-Miao Li,
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11
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Lee HY, Jang HR, Li H, Samuel VT, Dudek KD, Osipovich AB, Magnuson MA, Sklar J, Shulman GI. Deletion of Jazf1 gene causes early growth retardation and insulin resistance in mice. Proc Natl Acad Sci U S A 2022; 119:e2213628119. [PMID: 36442127 PMCID: PMC9894197 DOI: 10.1073/pnas.2213628119] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Single-nucleotide polymorphisms in the human juxtaposed with another zinc finger protein 1 (JAZF1) gene have repeatedly been associated with both type 2 diabetes (T2D) and height in multiple genome-wide association studies (GWAS); however, the mechanism by which JAZF1 causes these traits is not yet known. To investigate the possible functional role of JAZF1 in growth and glucose metabolism in vivo, we generated Jazf1 knockout (KO) mice and examined body composition and insulin sensitivity both in young and adult mice by using 1H-nuclear magnetic resonance and hyperinsulinemic-euglycemic clamp techniques. Plasma concentrations of insulin-like growth factor 1 (IGF-1) were reduced in both young and adult Jazf1 KO mice, and young Jazf1 KO mice were shorter in stature than age-matched wild-type mice. Young Jazf1 KO mice manifested reduced fat mass, whereas adult Jazf1 KO mice manifested increased fat mass and reductions in lean body mass associated with increased plasma growth hormone (GH) concentrations. Adult Jazf1 KO manifested muscle insulin resistance that was further exacerbated by high-fat diet feeding. Gene set enrichment analysis in Jazf1 KO liver identified the hepatocyte hepatic nuclear factor 4 alpha (HNF4α), which was decreased in Jazf1 KO liver and in JAZF1 knockdown cells. Moreover, GH-induced IGF-1 expression was inhibited by JAZF1 knockdown in human hepatocytes. Taken together these results demonstrate that reduction of JAZF1 leads to early growth retardation and late onset insulin resistance in vivo which may be mediated through alterations in the GH-IGF-1 axis and HNF4α.
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Affiliation(s)
- Hui-Young Lee
- aLaboratory of Mitochondria and Metabolic Diseases, School of Medicine, Gachon University, Incheon21999, Korea
- bDepartment of Molecular Medicine, School of Medicine, Gachon University, Incheon21999, Korea
- cKorea Mouse Metabolic Phenotyping Center, Lee Gil Ya Cancer and Diabetes Institute, Gachon University, Incheon21999, Korea
| | - Hye Rim Jang
- aLaboratory of Mitochondria and Metabolic Diseases, School of Medicine, Gachon University, Incheon21999, Korea
- bDepartment of Molecular Medicine, School of Medicine, Gachon University, Incheon21999, Korea
| | - Hui Li
- dDepartment of Pathology, University of Virginia, Charlottesville, VA22908
| | - Varman T. Samuel
- eDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT06510
- fWest Haven Veterans Affairs Medical Center, West Haven, CT06516
| | - Karrie D. Dudek
- gDepartment of Cell and Developmental Biology, Vanderbilt University, NashvilleTN37232
| | - Anna B. Osipovich
- hDepartment of Molecular Physiology and Biophysics, Vanderbilt UniversityNashville, TN37232
| | - Mark A. Magnuson
- hDepartment of Molecular Physiology and Biophysics, Vanderbilt UniversityNashville, TN37232
- 1To whom correspondence may be addressed. , , or
| | - Jeffrey Sklar
- iDepartment of Pathology, Yale School of Medicine, New HavenCT06510
- 1To whom correspondence may be addressed. , , or
| | - Gerald I. Shulman
- eDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT06510
- jDepartment of Cellular & Molecular Physiology, Yale School of Medicine, New Haven, CT06510
- 1To whom correspondence may be addressed. , , or
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12
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Missing Causality and Heritability of Autoimmune Hepatitis. Dig Dis Sci 2022; 68:1585-1604. [PMID: 36261672 DOI: 10.1007/s10620-022-07728-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Accepted: 10/10/2022] [Indexed: 12/09/2022]
Abstract
BACKGROUND Autoimmune hepatitis has an unknown cause and genetic associations that are not disease-specific or always present. Clarification of its missing causality and heritability could improve prevention and management strategies. AIMS Describe the key epigenetic and genetic mechanisms that could account for missing causality and heritability in autoimmune hepatitis; indicate the prospects of these mechanisms as pivotal factors; and encourage investigations of their pathogenic role and therapeutic potential. METHODS English abstracts were identified in PubMed using multiple key search phases. Several hundred abstracts and 210 full-length articles were reviewed. RESULTS Environmental induction of epigenetic changes is the prime candidate for explaining the missing causality of autoimmune hepatitis. Environmental factors (diet, toxic exposures) can alter chromatin structure and the production of micro-ribonucleic acids that affect gene expression. Epistatic interaction between unsuspected genes is the prime candidate for explaining the missing heritability. The non-additive, interactive effects of multiple genes could enhance their impact on the propensity and phenotype of autoimmune hepatitis. Transgenerational inheritance of acquired epigenetic marks constitutes another mechanism of transmitting parental adaptations that could affect susceptibility. Management strategies could range from lifestyle adjustments and nutritional supplements to precision editing of the epigenetic landscape. CONCLUSIONS Autoimmune hepatitis has a missing causality that might be explained by epigenetic changes induced by environmental factors and a missing heritability that might reflect epistatic gene interactions or transgenerational transmission of acquired epigenetic marks. These unassessed or under-evaluated areas warrant investigation.
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13
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Zhang TP, Li R, Wang LJ, Tang F, Li HM. Clinical relevance of vitamin B12 level and vitamin B12 metabolic gene variation in pulmonary tuberculosis. Front Immunol 2022; 13:947897. [PMID: 36275653 PMCID: PMC9583150 DOI: 10.3389/fimmu.2022.947897] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 09/09/2022] [Indexed: 11/14/2022] Open
Abstract
The aim of this study was to assess the association of vitamin B12 level and single nucleotide polymorphisms (SNPs) in vitamin B12 metabolic genes with pulmonary tuberculosis (PTB) in Chinese Han population. The plasma vitamin B12 expression level was detected using ELISA. Ten SNPs in six key genes (TCN1, TCN2, CUBN, MMACHC, FUT6, and MUT) of vitamin B12 metabolic pathway were included for genotyping by the SNPscan technique among 454 PTB patients and 467 controls. Our results found that vitamin B12 level was significantly reduced in PTB patients when compared with controls. There was no significant association between TCN1 rs526934, TCN2 rs1801198, CUBN rs7906242, rs10904861, rs1801222, MMACHC rs10789465, FUT6 rs3760776, rs3760775, MUT rs9473555, rs9381784 variants, and PTB susceptibility. TCN2 rs1801198 CC genotype, C allele was significantly associated with hypoproteinemia in PTB patients. In CUBN, rs7906242 GG genotype, G allele, rs10904861 TT genotype, and T allele were significantly related to the decreased frequency of sputum smear-positive, and rs10904861 variant affected the occurrence of drug resistance in PTB patients. In addition, the increased frequency of CUBN rs1801222 AA genotype was significantly associated with leukopenia. The decreased frequency of MUT rs9473555 CC genotype was found in the PTB patients with hypoproteinemia. However, vitamin B12 expression was not associated with the genotype distribution of above SNPs. In conclusion, vitamin B12 level was significantly decreased in PTB patients and genetic variants in vitamin B12 metabolic genes were not contributed to PTB susceptibility. Several SNPs in TCN2, CUBN, and MUT gene might associate with multiple clinical manifestations in PTB.
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Affiliation(s)
- Tian-Ping Zhang
- Department of Rheumatology and Immunology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Rui Li
- Department of Nosocomial Infection Management, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Li-Jun Wang
- Department of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Fei Tang
- Department of Interventional Pulmonology and Endoscopic Diagnosis and Treatment Center, Anhui Chest Hospital, Hefei, China
- *Correspondence: Hong-Miao Li, ; Fei Tang,
| | - Hong-Miao Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- *Correspondence: Hong-Miao Li, ; Fei Tang,
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14
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Su C, Gao L, May CL, Pippin JA, Boehm K, Lee M, Liu C, Pahl MC, Golson ML, Naji A, Grant SFA, Wells AD, Kaestner KH. 3D chromatin maps of the human pancreas reveal lineage-specific regulatory architecture of T2D risk. Cell Metab 2022; 34:1394-1409.e4. [PMID: 36070683 PMCID: PMC9664375 DOI: 10.1016/j.cmet.2022.08.014] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 06/03/2022] [Accepted: 08/17/2022] [Indexed: 12/20/2022]
Abstract
Three-dimensional (3D) chromatin organization maps help dissect cell-type-specific gene regulatory programs. Furthermore, 3D chromatin maps contribute to elucidating the pathogenesis of complex genetic diseases by connecting distal regulatory regions and genetic risk variants to their respective target genes. To understand the cell-type-specific regulatory architecture of diabetes risk, we generated transcriptomic and 3D epigenomic profiles of human pancreatic acinar, alpha, and beta cells using single-cell RNA-seq, single-cell ATAC-seq, and high-resolution Hi-C of sorted cells. Comparisons of these profiles revealed differential A/B (open/closed) chromatin compartmentalization, chromatin looping, and transcriptional factor-mediated control of cell-type-specific gene regulatory programs. We identified a total of 4,750 putative causal-variant-to-target-gene pairs at 194 type 2 diabetes GWAS signals using pancreatic 3D chromatin maps. We found that the connections between candidate causal variants and their putative target effector genes are cell-type stratified and emphasize previously underappreciated roles for alpha and acinar cells in diabetes pathogenesis.
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Affiliation(s)
- Chun Su
- Division of Human Genetics and Endocrinology & Diabetes, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Center for Spatial and Functional Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Long Gao
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Catherine L May
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - James A Pippin
- Division of Human Genetics and Endocrinology & Diabetes, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Center for Spatial and Functional Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Keith Boehm
- Division of Human Genetics and Endocrinology & Diabetes, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Center for Spatial and Functional Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Michelle Lee
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Chengyang Liu
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Matthew C Pahl
- Division of Human Genetics and Endocrinology & Diabetes, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Center for Spatial and Functional Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Maria L Golson
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Ali Naji
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Struan F A Grant
- Division of Human Genetics and Endocrinology & Diabetes, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Center for Spatial and Functional Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
| | - Andrew D Wells
- Center for Spatial and Functional Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
| | - Klaus H Kaestner
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
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15
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Li B, Jin B, Capra JA, Bush WS. Integration of Protein Structure and Population-Scale DNA Sequence Data for Disease Gene Discovery and Variant Interpretation. Annu Rev Biomed Data Sci 2022; 5:141-161. [PMID: 35508071 DOI: 10.1146/annurev-biodatasci-122220-112147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The experimental and computational techniques for capturing information about protein structures and genetic variation within the human genome have advanced dramatically in the past 20 years, generating extensive new data resources. In this review, we discuss these advances, along with new approaches for determining the impact a genetic variant has on protein function. We focus on the potential of new methods that integrate human genetic variation into protein structures to discover relationships to disease, including the discovery of mutational hotspots in cancer-related proteins, the localization of protein-altering variants within protein regions for common complex diseases, and the assessment of variants of unknown significance for Mendelian traits. We expect that approaches that integrate these data sources will play increasingly important roles in disease gene discovery and variant interpretation. Expected final online publication date for the Annual Review of Biomedical Data Science, Volume 5 is August 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Bian Li
- Department of Biological Sciences and Center for Structural Biology, Vanderbilt University, Nashville, Tennessee, USA
| | - Bowen Jin
- Graduate Program in Systems Biology and Bioinformatics, Department of Nutrition, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - John A Capra
- Bakar Computational Health Sciences Institute and Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA;
| | - William S Bush
- Cleveland Institute for Computational Biology, Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA;
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16
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Mdyogolo S, MacNeil MD, Neser FWC, Scholtz MM, Makgahlela ML. Assessing accuracy of genotype imputation in the Afrikaner and Brahman cattle breeds of South Africa. Trop Anim Health Prod 2022; 54:90. [PMID: 35133512 DOI: 10.1007/s11250-022-03102-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 02/01/2022] [Indexed: 11/26/2022]
Abstract
Imputation may be used to rescue genomic data from animals that would otherwise be eliminated due to a lower than desired call rate. The aim of this study was to compare the accuracy of genotype imputation for Afrikaner, Brahman, and Brangus cattle of South Africa using within- and multiple-breed reference populations. A total of 373, 309, and 101 Afrikaner, Brahman, and Brangus cattle, respectively, were genotyped using the GeneSeek Genomic Profiler 150 K panel that contained 141,746 markers. Markers with MAF ≤ 0.02 and call rates ≤ 0.95 or that deviated from Hardy Weinberg Equilibrium frequency with a probability of ≤ 0.0001 were excluded from the data as were animals with a call rate ≤ 0.90. The remaining data included 99,086 SNPs and 360 Afrikaner, 75,291 SNPs and 288 animals Brahman, and 97,897 SNPs and 99 Brangus animals. A total of 7986, 7002, and 7000 SNP from 50 Afrikaner and Brahman and 30 Brangus cattle, respectively, were masked and then imputed using BEAGLE v3 and FImpute v2. The within-breed imputation yielded accuracies ranging from 89.9 to 96.6% for the three breeds. The multiple-breed imputation yielded corresponding accuracies from 69.21 to 88.35%. The results showed that population homogeneity and numerical representation for within and across breed strategies, respectively, are crucial components for improving imputation accuracies.
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Affiliation(s)
- S Mdyogolo
- Department of Animal Breeding and Genetics, Agricultural Research Council, Irene, South Africa.
- Department of Animal, Wildlife and Grassland Sciences, University of the Free State, Bloemfontein, South Africa.
| | - M D MacNeil
- Department of Animal Breeding and Genetics, Agricultural Research Council, Irene, South Africa
- Department of Animal, Wildlife and Grassland Sciences, University of the Free State, Bloemfontein, South Africa
- Delta G, Miles City, MT, USA
| | - F W C Neser
- Department of Animal, Wildlife and Grassland Sciences, University of the Free State, Bloemfontein, South Africa
| | - M M Scholtz
- Department of Animal Breeding and Genetics, Agricultural Research Council, Irene, South Africa
- Department of Animal, Wildlife and Grassland Sciences, University of the Free State, Bloemfontein, South Africa
| | - M L Makgahlela
- Department of Animal Breeding and Genetics, Agricultural Research Council, Irene, South Africa
- Department of Animal, Wildlife and Grassland Sciences, University of the Free State, Bloemfontein, South Africa
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17
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Ropers HH, van Karnebeek CD. Rare diseases: human genome research is coming home. Cold Spring Harb Mol Case Stud 2022; 8:mcs.a006210. [PMID: 35332074 PMCID: PMC8958923 DOI: 10.1101/mcs.a006210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
After a long and largely disappointing detour, Genome Research has reidentified Rare Diseases as a major opportunity for improving health care and a clue to understanding gene and genome function. In this Special Issue of CSH Molecular Case Studies on Rare Diseases, several invited Perspectives, numerous Case Reports, and this Editorial itself address recent breakthroughs as well as unsolved problems in this wide field. These range from exciting prospects for gap-free diagnostic whole-genome sequencing to persisting problems related to identifying and distinguishing pathogenic and benign variants; and from the good news that soon, the United Kingdom will no longer be the only country to have introduced whole-genome sequencing into health care to the sobering conclusion that in many countries the clinical infrastructure for bringing Genome Medicine to the patient is still lacking. With less than 5000 genes firmly implicated in disease, the identification of at least twice as many disease genes is a major challenge, and the elucidation of their function is an even larger task. But given the renewed interest in rare diseases, their importance for health care, and the vast and growing spectrum of concepts and methods for studying them, the future of Human Genome Research is bright.
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Affiliation(s)
- Hans-Hilger Ropers
- Max Planck Institute for Molecular Genetics, Berlin D-14195, and Institute of Human Genetics, University Medicine, Mainz D-55131, Germany
| | - Clara D. van Karnebeek
- Departments of Pediatrics and Human Genetics, Emma Children's Hospital, Amsterdam University Medical Centers, NL-1105 AZ Amsterdam, The Netherlands
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18
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Luo A, Yang L, Li M, Cai M, Huang A, Liu X, Yang X, Yan Y, Wang X, Wu X, Huang K, Huang L, Liu S, Xu L, Liu X. Genetic Variants in METTL14 are Associated with the Risk of Acute Lymphoblastic Leukemia in Southern Chinese Children: A Five-Center Case-Control Study. Cancer Manag Res 2021; 13:9189-9200. [PMID: 34934362 PMCID: PMC8684373 DOI: 10.2147/cmar.s335925] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 11/12/2021] [Indexed: 12/25/2022] Open
Abstract
Background/Aim Acute lymphoblastic leukemia (ALL) is the most common form of pediatric cancer. METTL14, an N6-methyladenosine (m6A) modification protein, plays several roles in cancer development and is involved in the pathogenesis of various types of cancers. However, the role of METTL14 gene single nucleotide polymorphisms (SNPs) in pediatric ALL susceptibility remains to be investigated. Methods A case-control design and multinomial logistic regression were used to develop models to estimate the overall risk for pediatric ALL and three METTL14 gene SNPs (rs298982 G/A, rs298981 A/G and rs1064034 T/A) in 808 cases and 1340 controls, which were genotyped using a TaqMan assay. The associations were estimated by odds ratios (ORs) with their 95% confidence intervals (CIs). Furthermore, stratified analysis was performed to explore associations of rs298982 and rs1064034 with pediatric ALL susceptibility in terms of age, sex, immunophenotype, minimal residual disease (MRD), and other clinical characteristics. Results Among the three analyzed SNPs, rs298982 G/A and rs1064034 T/A exhibited a significant association with decreased childhood ALL risk, while rs298981 A/G exhibited no difference. In stratified analysis, rs298982 GA/AA and rs1064034 TA/AA had a protective effect in children <120 months of age and males, common B ALL, TEL-AML, non gene fusion, normal diploid, and high WBC. However, the rs1064034 TA/AA genotype was associated with an increased risk of mixed immunophenotyping. Compared with the reference haplotype GAT, haplotypes CAA, CGT and CGA were significantly associated with elevated ALL risk, while haplotype GGT was significantly associated decreased ALL risk. Moreover, subjects carrying rs298982 A or rs1064034 A exhibited less minimal MRD after induced chemotherapy. Functional annotations revealed that METTL14 gene SNPs rs298982 G/A and rs1064034 T/A could be potential functional variants. Conclusion In conclusion, METTL14 gene polymorphisms influence the risk of ALL in southern Chinese children and might be potential biomarkers for pediatric ALL susceptibility and chemotherapeutics.
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Affiliation(s)
- Ailing Luo
- Department of Hematology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Lihua Yang
- Pediatric Center of Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Ming Li
- The Emergency Department of Zhuzhou Central Hospital, Zhuzhou, Hunan, People's Republic of China
| | - Mansi Cai
- Department of Hematology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Amin Huang
- Department of Medical Oncology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China
| | - Xiaodan Liu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Xu Yang
- Department of Hematology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Yaping Yan
- Department of Hematology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Xueliang Wang
- Department of Hematology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Xuedong Wu
- Department of Pediatrics, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Ke Huang
- Department of Pediatrics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China
| | - Libin Huang
- Pediatrics Department, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China
| | - Shanshan Liu
- Department of Hematology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Ling Xu
- Department of Hematology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Xiaoping Liu
- Department of Hematology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
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Kuo CY, Chen TY, Kao PH, Huang W, Cho CR, Lai YS, Yiang GT, Kao CF. Genetic Pathways and Functional Subnetworks for the Complex Nature of Bipolar Disorder in Genome-Wide Association Study. Front Mol Neurosci 2021; 14:772584. [PMID: 34880727 PMCID: PMC8645771 DOI: 10.3389/fnmol.2021.772584] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 10/08/2021] [Indexed: 11/19/2022] Open
Abstract
Bipolar disorder is a complex psychiatric trait that is also recognized as a high substantial heritability from a worldwide distribution. The success in identifying susceptibility loci for bipolar disorder (BPD) has been limited due to its complex genetic architecture. Growing evidence from association studies including genome-wide association (GWA) studies points to the need of improved analytic strategies to pinpoint the missing heritability for BPD. More importantly, many studies indicate that BPD has a strong association with dementia. We conducted advanced pathway analytics strategies to investigate synergistic effects of multilocus within biologically functional pathways, and further demonstrated functional effects among proteins in subnetworks to examine mechanisms underlying the complex nature of bipolarity using a GWA dataset for BPD. We allowed bipolar susceptible loci to play a role that takes larger weights in pathway-based analytic approaches. Having significantly informative genes identified from enriched pathways, we further built function-specific subnetworks of protein interactions using MetaCore. The gene-wise scores (i.e., minimum p-value) were corrected for the gene-length, and the results were corrected for multiple tests using Benjamini and Hochberg’s method. We found 87 enriched pathways that are significant for BPD; of which 36 pathways were reported. Most of them are involved with several metabolic processes, neural systems, immune system, molecular transport, cellular communication, and signal transduction. Three significant and function-related subnetworks with multiple hotspots were reported to link with several Gene Ontology processes for BPD. Our comprehensive pathway-network frameworks demonstrated that the use of prior knowledge is promising to facilitate our understanding between complex psychiatric disorders (e.g., BPD) and dementia for the access to the connection and clinical implications, along with the development and progression of dementia.
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Affiliation(s)
- Chan-Yen Kuo
- Department of Research, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei, Taiwan.,Department of Nursing, Cardinal Tien College of Healthcare and Management, New Taipei, Taiwan
| | - Tsu-Yi Chen
- Department of Emergency Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei, Taiwan.,Department of Emergency Medicine, School of Medicine, Tzu Chi University, Hualien, Taiwan
| | - Pei-Hsiu Kao
- Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, Taichung, Taiwan
| | - Winifred Huang
- School of Management, University of Bath, Bath, United Kingdom
| | - Chun-Ruei Cho
- Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, Taichung, Taiwan
| | - Ya-Syuan Lai
- Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, Taichung, Taiwan
| | - Giou-Teng Yiang
- Department of Emergency Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei, Taiwan.,Department of Emergency Medicine, School of Medicine, Tzu Chi University, Hualien, Taiwan
| | - Chung-Feng Kao
- Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, Taichung, Taiwan.,Advanced Plant Biotechnology Center, National Chung Hsing University, Taichung, Taiwan
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20
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Zhuo Z, Hua RX, Zhang H, Lin H, Fu W, Zhu J, Cheng J, Zhang J, Li S, Zhou H, Xia H, Liu G, Jia W, He J. METTL14 gene polymorphisms decrease Wilms tumor susceptibility in Chinese children. BMC Cancer 2021; 21:1294. [PMID: 34863142 PMCID: PMC8643011 DOI: 10.1186/s12885-021-09019-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 11/18/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Wilms tumor is a highly heritable malignancy. Aberrant METTL14, a critical component of N6-methyladenosine (m6A) methyltransferase, is involved in carcinogenesis. The association between genetic variants in the METTL14 gene and Wilms tumor susceptibility remains to be fully elucidated. We aimed to assess whether variants within this gene are implicated in Wilms tumor susceptibility. METHODS A total of 403 patients and 1198 controls were analyzed. METTL14 genotypes were assessed by TaqMan genotyping assay. RESULT Among the five SNPs analyzed, rs1064034 T > A and rs298982 G > A exhibited a significant association with decreased susceptibility to Wilms tumor. Moreover, the joint analysis revealed that the combination of five protective genotypes exerted significantly more protective effects against Wilms tumor than 0-4 protective genotypes with an OR of 0.69. The stratified analysis further identified the protective effect of rs1064034 T > A, rs298982 G > A, and combined five protective genotypes in specific subgroups. The above significant associations were further validated by haplotype analysis and false-positive report probability analysis. Preliminary mechanism exploration indicated that rs1064034 T > A and rs298982 G > A are correlated with the expression and splicing event of their surrounding genes. CONCLUSIONS Collectively, our results suggest that METTL14 gene SNPs may be genetic modifiers for the development of Wilms tumor.
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Affiliation(s)
- Zhenjian Zhuo
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Road, Guangzhou, 510623, Guangdong, China
| | - Rui-Xi Hua
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Road, Guangzhou, 510623, Guangdong, China
| | - Huizhu Zhang
- Department of Gynaecology and Obstetrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China
| | - Huiran Lin
- Faculty of Medicine, Macau University of Science and Technology, Macau, 999078, China
| | - Wen Fu
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Road, Guangzhou, 510623, Guangdong, China
| | - Jinhong Zhu
- Department of Clinical Laboratory, Biobank, Harbin Medical University Cancer Hospital, Harbin, 150040, Heilongjiang, China
| | - Jiwen Cheng
- Department of Pediatric Surgery, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, China
| | - Jiao Zhang
- Department of Pediatric Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Suhong Li
- Department of Pathology, Children Hospital and Women Health Center of Shanxi, Shannxi, Taiyuan, 030013, China
| | - Haixia Zhou
- Department of Hematology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, Zhejiang, China
| | - Huimin Xia
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Road, Guangzhou, 510623, Guangdong, China
| | - Guochang Liu
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Road, Guangzhou, 510623, Guangdong, China
| | - Wei Jia
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Road, Guangzhou, 510623, Guangdong, China.
| | - Jing He
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Road, Guangzhou, 510623, Guangdong, China.
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21
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Heeney C. Problems and promises: How to tell the story of a Genome Wide Association Study? STUDIES IN HISTORY AND PHILOSOPHY OF SCIENCE 2021; 89:1-10. [PMID: 34284196 DOI: 10.1016/j.shpsa.2021.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 06/02/2021] [Indexed: 06/13/2023]
Abstract
The promise of treatments for common complex diseases (CCDs) is understood as an important force driving large scale genetics research over the last few decades. This paper considers the phenomenon of the Genome Wide Association Study (GWAS) via one high profile example, the Wellcome Trust Case Control Consortium (WTCCC). The WTCCC despite not fulfilling promises of new health interventions is still understood as an important step towards tackling CCDs clinically. The 'sociology of expectations' has considered many examples of failure to fulfil promises and the subsequent negative consequences including disillusionment, disappointment and disinvestment. In order to explore why some domains remain resilient in the face of apparent failure, I employ the concept of the 'problematic' found in the work of Giles Deleuze. This alternative theoretical framework challenges the idea that the failure to reach promised goals results in largely negative outcomes for a given field. I will argue that collective scientific action is motivated not only by hopes for the future but also by the drive to create solutions to the actual setbacks and successes which scientists encounter in their day-to-day work. I draw on eighteen interviews.
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Affiliation(s)
- Catherine Heeney
- Usher Institute, University of Edinburgh, Old Medical School, Teviot Place, Edinburgh, EH8 9AG, UK.
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22
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Dokan K, Kawamura S, Teshima KM. Effects of single nucleotide polymorphism ascertainment on population structure inferences. G3-GENES GENOMES GENETICS 2021; 11:6237890. [PMID: 33871576 PMCID: PMC8496283 DOI: 10.1093/g3journal/jkab128] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 04/08/2021] [Indexed: 11/14/2022]
Abstract
Single nucleotide polymorphism (SNP) data are widely used in research on natural populations. Although they are useful, SNP genotyping data are known to contain bias, normally referred to as ascertainment bias, because they are conditioned by already confirmed variants. This bias is introduced during the genotyping process, including the selection of populations for novel SNP discovery and the number of individuals involved in the discovery panel and selection of SNP markers. It is widely recognized that ascertainment bias can cause inaccurate inferences in population genetics and several methods to address these bias issues have been proposed. However, especially in natural populations, it is not always possible to apply an ideal ascertainment scheme because natural populations tend to have complex structures and histories. In addition, it was not fully assessed if ascertainment bias has the same effect on different types of population structure. Here, we examine the effects of bias produced during the selection of population for SNP discovery and consequent SNP marker selection processes under three demographic models: the island, stepping-stone, and population split models. Results show that site frequency spectra and summary statistics contain biases that depend on the joint effect of population structure and ascertainment schemes. Additionally, population structure inferences are also affected by ascertainment bias. Based on these results, it is recommended to evaluate the validity of the ascertainment strategy prior to the actual typing process because the direction and extent of ascertainment bias vary depending on several factors.
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Affiliation(s)
- Kotaro Dokan
- Graduate School of System Life Science, Kyushu University, Fukuoka 819-0395, Japan
| | - Sayu Kawamura
- Graduate School of System Life Science, Kyushu University, Fukuoka 819-0395, Japan
| | - Kosuke M Teshima
- Department of Biology, Kyushu University, Fukuoka 819-0395, Japan
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23
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Rosa RR, Garcia MA, Alves PT, Sousa EM, Pimentel LS, Barbosa LD, Loyola AM, Goulart LR, Faria PC, Cardoso SV. Revisiting the metallothionein genes polymorphisms and the risk of oral squamous cell carcinoma in a Brazilian population. Med Oral Patol Oral Cir Bucal 2021; 26:e334-e340. [PMID: 33340085 PMCID: PMC8141308 DOI: 10.4317/medoral.24215] [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: 08/23/2020] [Accepted: 11/23/2020] [Indexed: 11/15/2022] Open
Abstract
Background Metallothioneins (MTs) gene polymorphisms have been associated with the ability of free radical scavenging and detoxification of heavy metals leading to cancer development. Our aim was to revisit, in a Brazilian population, single-nucleotide polymorphisms (SNPs) of the MT gene family previously associated with oral squamous cell carcinoma (OSCC).
Material and Methods A case-control investigation with 28 OSCC patients and 45 controls was conducted, using conventional risk factors (tobacco use and alcohol consumption) as covariates. SNPs genotyping for rs8052334 (MT1B), rs964372 (MT1B), and rs1610216 (MT2A) was performed by PCR-RFLP, and SNPs for rs11076161 (MT1A) were analyzed by TaqMan assay.
Results The only SNP associated with increased risk for OSCC was the MT-1A AA genotype (OR = 4.7; p = 0.01). We have also evidenced for the first time a significant linkage disequilibrium between the SNPs of MT-2A and MT-1A in this population with the highest frequency (30%) of the unfavorable haplotype G/A/C/T (rs1610216 / rs11076161 / rs964372 / rs8052334) of MT gene polymorphisms (OR = 6.2; p = 0.04). Interestingly, after removing the effects of conventional risk factors, we have uncovered the significance of the AA genotype of the rs11076161 with increased odds of 19-fold higher towards OSCC development.
Conclusions This is the first demonstration that a significant linkage disequilibrium among gene polymorphisms of the MT family may affect susceptibility to oral cancer, which is conditioned by the G/A/C/T haplotype (rs1610216/rs11076161/rs964372/ rs8052334) and the MT-1A gene polymorphism has a potential clinical utility for the OSCC risk assessment. Key words:Oral squamous cell carcinoma, polymorphism, metallothionein, oral cancer.
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Affiliation(s)
- R-R Rosa
- Federal University of Uberlândia School of Dentistry, Area of Pathology Av. Pará, nº 1.720, CEP: 38.405-320 Uberlândia - MG, Brazil
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24
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Jeon M, Jagodnik KM, Kropiwnicki E, Stein DJ, Ma'ayan A. Prioritizing Pain-Associated Targets with Machine Learning. Biochemistry 2021; 60:1430-1446. [PMID: 33606503 DOI: 10.1021/acs.biochem.0c00930] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
While hundreds of genes have been associated with pain, much of the molecular mechanisms of pain remain unknown. As a result, current analgesics are limited to few clinically validated targets. Here, we trained a machine learning (ML) ensemble model to predict new targets for 17 categories of pain. The model utilizes features from transcriptomics, proteomics, and gene ontology to prioritize targets for modulating pain. We focused on identifying novel G-protein-coupled receptors (GPCRs), ion channels, and protein kinases because these proteins represent the most successful drug target families. The performance of the model to predict novel pain targets is 0.839 on average based on AUROC, while the predictions for arthritis had the highest accuracy (AUROC = 0.929). The model predicts hundreds of novel targets for pain; for example, GPR132 and GPR109B are highly ranked GPCRs for rheumatoid arthritis. Overall, gene-pain association predictions cluster into three groups that are enriched for cytokine, calcium, and GABA-related cell signaling pathways. These predictions can serve as a foundation for future experimental exploration to advance the development of safer and more effective analgesics.
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Affiliation(s)
- Minji Jeon
- Department of Pharmacological Sciences, Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, P.O. Box 1603, New York, New York 10029, United States
| | - Kathleen M Jagodnik
- Department of Pharmacological Sciences, Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, P.O. Box 1603, New York, New York 10029, United States
| | - Eryk Kropiwnicki
- Department of Pharmacological Sciences, Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, P.O. Box 1603, New York, New York 10029, United States
| | - Daniel J Stein
- Department of Pharmacological Sciences, Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, P.O. Box 1603, New York, New York 10029, United States
| | - Avi Ma'ayan
- Department of Pharmacological Sciences, Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, P.O. Box 1603, New York, New York 10029, United States
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25
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Effect of metabolic genetic variants on long-term disease comorbidity in patients with type 2 diabetes. Sci Rep 2021; 11:2794. [PMID: 33531528 PMCID: PMC7854581 DOI: 10.1038/s41598-021-82276-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Accepted: 01/15/2021] [Indexed: 11/17/2022] Open
Abstract
Underlying genetic determinants contribute to developing type 2 diabetes (T2D) future diseases. The present study aimed to identify which genetic variants are associated with the incident of the major T2D co-morbid disease. First, we conducted a discovery study by investigating the genetic associations of comorbid diseases within the framework of the Utrecht Cardiovascular Pharmacogenetic studies by turning information of > 25 years follow-up data of 1237 subjects whom were genotyped and included in the discovery study. We performed Cox proportional-hazards regression to examine associations between genetic variants and comorbid diseases including cardiovascular diseases (CVD), chronic eye disease, cancer, neurologic diseases and chronic kidney disease. Secondly, we replicated our findings in two independent cohorts consisting of 1041 subjects. Finally, we performed a meta-analysis by combining the discovery and two replication cohorts. We ascertained 390 (39.7%) incident cases of CVD, 182 (16.2%) of chronic eye disease, 155 (13.8%) of cancer, 31 (2.7%) of neurologic disease and 13 (1.1%) of chronic kidney disease during a median follow-up of 10.2 years. In the discovery study, we identified a total of 39 Single Nucleotide Polymorphisms (SNPs) associated with comorbid diseases. The replication study, confirmed that rs1870849 and rs8051326 may play a role in the incidence of chronic eye disease in T2D patients. Half of patients developed at least one comorbid disease, with CVD occurring most often and earliest followed by chronic eye disease. Further research is needed to confirm the associations of two associated SNPs with chronic eye disease in T2D.
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26
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Yu X, Zhou J, Zhao M, Yi C, Duan Q, Zhou W, Li J. Exploiting XG Boost for Predicting Enhancer-promoter Interactions. Curr Bioinform 2021. [DOI: 10.2174/1574893615666200120103948] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background:
Gene expression and disease control are regulated by the interaction
between distal enhancers and proximal promoters, and the study of enhancer promoter interactions
(EPIs) provides insight into the genetic basis of diseases.
Objective:
Although the recent emergence of high-throughput sequencing methods have a
deepened understanding of EPIs, accurate prediction of EPIs still limitations.
Methods:
We have implemented a XGBoost-based approach and introduced two sets of features
(epigenomic and sequence) to predict the interactions between enhancers and promoters in
different cell lines.
Results:
Extensive experimental results show that XGBoost effectively predicts EPIs across three
cell lines, especially when using epigenomic and sequence features.
Conclusion:
XGBoost outperforms other methods, such as random forest, Adadboost, GBDT, and
TargetFinder.
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Affiliation(s)
- Xiaojuan Yu
- Software School of Yunnan University, Kunming, China
| | - Jianguo Zhou
- Software School of Yunnan University, Kunming, China
| | - Mingming Zhao
- Software School of Yunnan University, Kunming, China
| | - Chao Yi
- Software School of Yunnan University, Kunming, China
| | - Qing Duan
- Software School of Yunnan University, Kunming, China
| | - Wei Zhou
- Software School of Yunnan University, Kunming, China
| | - Jin Li
- Software School of Yunnan University, Kunming, China
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27
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Conway C, Collins DM, McCann A, Dean K. Research Strategies for Low-Survival Cancers. Cancers (Basel) 2021; 13:528. [PMID: 33573275 PMCID: PMC7866553 DOI: 10.3390/cancers13030528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 01/22/2021] [Accepted: 01/26/2021] [Indexed: 11/16/2022] Open
Abstract
While substantial progress has been made to improve the diagnosis, prognosis, and survivorship of patients with cancer, certain cancer types, along with metastatic and refractory disease, remain clinical challenges. To improve patient outcomes, ultimately, the cancer research community must meet and overcome these challenges, leading to improved approaches to treat the most difficult cancers. Here, we discuss research progress aimed at gaining a better understanding of the molecular and cellular changes in tumor cells and the surrounding stroma, presented at the 56th Irish Association for Cancer Research (IACR) Annual Conference. With a focus on poor prognosis cancers, such as esophageal and chemo-resistant colorectal cancers, we highlight how detailed molecular knowledge of tumor and stromal biology can provide windows of opportunity for biomarker discovery and therapeutic targets. Even with previously characterized targets, such as phosphoinositide 3-kinase (PI3K), one of the most altered proteins in all human cancers, new insights into how this protein may be more effectively inhibited through novel combination therapies is presented.
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Affiliation(s)
- Caroline Conway
- Genomics Core Facility, Biomedical Sciences Research Institute, Ulster University, Coleraine BT52 1SA, UK;
| | - Denis M. Collins
- National Institute for Cellular Biotechnology, Dublin City University, Glasnevin, Dublin 9, Ireland;
| | - Amanda McCann
- UCD Conway Institute of Biomolecular and Biomedical Research and UCD School of Medicine College of Health and Agricultural Science (CHAS), University College Dublin, Belfield, Dublin 4, Ireland;
| | - Kellie Dean
- School of Biochemistry and Cell Biology, 3.91 Western Gateway Building, University College Cork, Cork T12 XF62, Ireland
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28
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Mboowa G, Sserwadda I, Aruhomukama D. Genomics and bioinformatics capacity in Africa: no continent is left behind. Genome 2021; 64:503-513. [PMID: 33433259 DOI: 10.1139/gen-2020-0013] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Despite the poor genomics research capacity in Africa, efforts have been made to empower African scientists to get involved in genomics research, particularly that involving African populations. As part of the Human Heredity and Health in Africa (H3Africa) Consortium, an initiative was set to make genomics research in Africa an African endeavor and was developed through funding from the United States' National Institutes of Health Common Fund and the Wellcome Trust. H3Africa is intended to encourage a contemporary research approach by African investigators and to stimulate the study of genomic and environmental determinants of common diseases. The goal of these endeavors is to improve the health of African populations. To build capacity for bioinformatics and genomics research, organizations such as the African Society for Bioinformatics and Computational Biology have been established. In this article, we discuss the current status of the bioinformatics infrastructure in Africa as well as the training challenges and opportunities.
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Affiliation(s)
- Gerald Mboowa
- Department of Immunology and Molecular Biology, College of Health Sciences, Makerere University, Uganda, P.O. Box 7072, Kampala, Uganda.,Department of Medical Microbiology, School of Biomedical Sciences, College of Health Sciences, Makerere University, P.O. Box 7072, Kampala, Uganda.,The African Center of Excellence in Bioinformatics and Data-Intensive Sciences, Infectious Disease Institute, Makerere University, P.O. Box 22418, Kampala, Uganda
| | - Ivan Sserwadda
- Department of Immunology and Molecular Biology, College of Health Sciences, Makerere University, Uganda, P.O. Box 7072, Kampala, Uganda
| | - Dickson Aruhomukama
- Department of Medical Microbiology, School of Biomedical Sciences, College of Health Sciences, Makerere University, P.O. Box 7072, Kampala, Uganda
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29
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Genetics and Individual Predispositions in Contact Dermatitis. Contact Dermatitis 2021. [DOI: 10.1007/978-3-030-36335-2_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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30
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Ferreira M, Freitas-Silva M, Assis J, Pinto R, Nunes JP, Medeiros R. The emergent phenomenon of aspirin resistance: insights from genetic association studies. Pharmacogenomics 2020; 21:125-140. [PMID: 31957546 DOI: 10.2217/pgs-2019-0133] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Despite the clinical benefits of aspirin, the interindividual variation in response to this antiplatelet drug is considerable. The manifestation of aspirin resistance (AR) is frequently observed, although this complex process remains poorly understood. While AR etiology is likely to be multifactorial, genetic factors appear to be preponderant. According to several genetic association studies, both genome-wide and candidate gene studies, numerous SNPs in cyclooxygenase, thromboxane and platelet receptors-related genes have been identified as capable of negatively affecting aspirin action. Thus, it is essential to understand the clinical relevance of AR-related SNPs as potential predictive and prognostic biomarkers as they may be essential to defining the AR phenotype.
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Affiliation(s)
- Márcia Ferreira
- Molecular Oncology & Viral Pathology Group-Research Center, Portuguese Institute of Oncology, Edifício Laboratórios, 4º piso, Rua Dr António Bernardino de Almeida, 4200-4072 Porto, Portugal.,ICBAS, Abel Salazar Institute for the Biomedical Sciences, Rua de Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal
| | - Margarida Freitas-Silva
- FMUP, Faculty of Medicine, Porto University, & Department of Medicine, Centro Hospitalar São João, Porto, Portugal, Alameda Prof Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Joana Assis
- Molecular Oncology & Viral Pathology Group-Research Center, Portuguese Institute of Oncology, Edifício Laboratórios, 4º piso, Rua Dr António Bernardino de Almeida, 4200-4072 Porto, Portugal.,FMUP, Faculty of Medicine, Porto University, & Department of Medicine, Centro Hospitalar São João, Porto, Portugal, Alameda Prof Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Ricardo Pinto
- Molecular Oncology & Viral Pathology Group-Research Center, Portuguese Institute of Oncology, Edifício Laboratórios, 4º piso, Rua Dr António Bernardino de Almeida, 4200-4072 Porto, Portugal
| | - José P Nunes
- FMUP, Faculty of Medicine, Porto University, & Department of Medicine, Centro Hospitalar São João, Porto, Portugal, Alameda Prof Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Rui Medeiros
- Molecular Oncology & Viral Pathology Group-Research Center, Portuguese Institute of Oncology, Edifício Laboratórios, 4º piso, Rua Dr António Bernardino de Almeida, 4200-4072 Porto, Portugal.,FMUP, Faculty of Medicine, Porto University, & Department of Medicine, Centro Hospitalar São João, Porto, Portugal, Alameda Prof Hernâni Monteiro, 4200-319 Porto, Portugal.,Biomedical Research Center, Faculty of Health Sciences, Fernando Pessoa University, Praça 9 de Abril, 349, 4249-004 Porto, Portugal.,Department of Research, Portuguese League Against Cancer (NRNorte), Estrada Interior da Circunvalação, 6657, 4200-172 Porto, Portugal
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31
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Nembo EN, Hescheler J, Nguemo F. Stem cells in natural product and medicinal plant drug discovery-An overview of new screening approaches. Biomed Pharmacother 2020; 131:110730. [PMID: 32920519 DOI: 10.1016/j.biopha.2020.110730] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 09/03/2020] [Accepted: 09/04/2020] [Indexed: 01/14/2023] Open
Abstract
Natural products remain a rich source of new drugs, and the search for bioactive molecules from nature continues to play an important role in the development of new medicines. Also, there is increasing use of herbal medicines for the treatment of a plethora of diseases, and demands for more scientific evidence for their efficacy and safety remains a huge challenge. The propensity of stem cells to differentiate into almost every cell type not only holds promise for the delivery of cell-based therapies for currently incurable diseases or a useful tool in studying cell physiology and pathophysiology. Increasingly, stem cells are becoming an important tool in preclinical drug screening and toxicity testing. In this review, we examine the scientific advances made towards the use of pluripotent stem cells as a model for the screening of plant-based medicines. The combination of well-established in vitro electrophysiological and a plethora of toxicogenomic technologies, together with the optimisation of culture methods of herbal plants and pluripotent stem cells can be explored to establish the basis for efficacy, and tissue/organ-based toxicities of many currently used medicinal plants whose efficacies and toxicities remain unknown.
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Affiliation(s)
- Erastus Nembu Nembo
- Institute of Neurophysiology, University of Cologne, 50931, Cologne, Germany
| | - Jürgen Hescheler
- Institute of Neurophysiology, University of Cologne, 50931, Cologne, Germany
| | - Filomain Nguemo
- Institute of Neurophysiology, University of Cologne, 50931, Cologne, Germany.
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Zhuo Z, Lu H, Zhu J, Hua RX, Li Y, Yang Z, Zhang J, Cheng J, Zhou H, Li S, Li L, Xia H, He J. METTL14 Gene Polymorphisms Confer Neuroblastoma Susceptibility: An Eight-Center Case-Control Study. MOLECULAR THERAPY. NUCLEIC ACIDS 2020; 22:17-26. [PMID: 32891980 PMCID: PMC7484523 DOI: 10.1016/j.omtn.2020.08.009] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Revised: 07/05/2020] [Accepted: 08/07/2020] [Indexed: 02/07/2023]
Abstract
Neuroblastoma is the primary cause of cancer death in childhood. METTL14 is tightly linked to cancer. However, whether single-nucleotide polymorphisms (SNPs) in the METTL14 gene could predispose to neuroblastoma susceptibility lacks evidence. With an epidemiology case-control study, associations between METTL14 gene SNPs and overall risk for neuroblastoma were estimated in 898 cases and 1,734 controls. Following that, stratified analysis was performed. Among the five analyzed SNPs, rs298982 G>A and rs62328061 A>G exhibited a significant association with decreased susceptibility to neuroblastoma, whereas the associations with increased neuroblastoma susceptibility were observed for rs9884978 G>A and rs4834698 T>C. Moreover, subjects carrying two to five risk genotypes were more inclined to develop neuroblastoma than those with zero to one risk genotypes. The stratified analysis further demonstrated the protective effect of rs298982 G>A and rs62328061 A>G, as well as the predisposing effect of rs4834698 T>C and two to five risk genotypes, in certain subgroups. Haplotype analysis was performed. Moreover, false-positive report probability analysis validated the reliability of the significant results. The expression quantitative trait locus analysis revealed that rs298982 is correlated with the expression levels of its surrounding genes. Our results suggest that some SNPs in the METTL14 gene are associated with predisposition to neuroblastoma.
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Affiliation(s)
- Zhenjian Zhuo
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, Guangdong, China
| | - Hongting Lu
- Department of Pediatric Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China
| | - Jinhong Zhu
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, Guangdong, China; Department of Clinical Laboratory, Biobank, Harbin Medical University Cancer Hospital, Harbin 150040, Heilongjiang, China
| | - Rui-Xi Hua
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, Guangdong, China
| | - Yong Li
- Department of Pediatric Surgery, Hunan Children's Hospital, Changsha 410004, Hunan, China
| | - Zhonghua Yang
- Department of Pediatric Surgery, Shengjing Hospital of China Medical University, Shenyang 110004, Liaoning, China
| | - Jiao Zhang
- Department of Pediatric Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan, China
| | - Jiwen Cheng
- Department of Pediatric Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, Shaanxi, China
| | - Haixia Zhou
- Department of Hematology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, Zhejiang, China
| | - Suhong Li
- Department of Pathology, Children Hospital and Women Health Center of Shanxi, Taiyuan 030013, Shannxi, China
| | - Li Li
- Kunming Key Laboratory of Children Infection and Immunity, Yunnan Key Laboratory of Children's Major Disease Research, Yunnan Institute of Pediatrics Research, Yunnan Medical Center for Pediatric Diseases, Kunming Children's Hospital, Kunming 650228, Yunnan, China
| | - Huimin Xia
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, Guangdong, China.
| | - Jing He
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, Guangdong, China.
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Deng GX, Yin RX, Guan YZ, Liu CX, Zheng PF, Wei BL, Wu JZ, Miao L. Association of the NCAN-TM6SF2-CILP2-PBX4-SUGP1-MAU2 SNPs and gene-gene and gene-environment interactions with serum lipid levels. Aging (Albany NY) 2020; 12:11893-11913. [PMID: 32568739 PMCID: PMC7343441 DOI: 10.18632/aging.103361] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2020] [Accepted: 05/01/2020] [Indexed: 01/07/2023]
Abstract
This study investigated the association of the NCAN-TM6SF2-CILP2-PBX4-SUGP1-MAU2 SNPs and gene-gene and gene-environment interactions with serum lipid levels in the population of Southwest China. Genotyping of 12 SNPs (i.e., rs2238675, rs2228603, rs58542926, rs735273, rs16996148, rs968525, rs17216525, rs12610185, rs10401969, rs8102280, rs73001065 and rs150268548) was performed in 1248 hyperlipidemia patients and 1248 normal subjects. The allelic and genotypic frequencies of the detected SNPs differed substantially between the normal and hyperlipidemia groups (P < 0.05-0.001), and the association of the 12 SNPs and hyperlipidemia was also observed (P < 0.004-0.0001). Four haplotypes (i.e., NCAN C-C, CILP2 G-T, PBX4-SUGP1 G-C, and MAU2 C-A-G-T) and 5 gene-gene interaction haplotypes (i.e., rs2238675C-rs2228603C, rs16996148G-rs17216525T, rs12610185G-rs10401969C, rs73001065G-rs8102280A-rs150268548G-rs968525C and rs73001065C-rs8102280A-rs150268548G-rs96852)showed a protective effect, whereas four other haplotypes (i.e., TM6SF2 T-A, TM6SF2 C-A, MAU2 G-G-G-C and MAU2 C-G-A-T), as well as 4 gene-gene interaction haplotypes (i.e., rs58542926C-rs735273A, rs58542926T-rs735273A, rs73001065G-rs8102280G-rs150268548G-rs968525C, and rs73001065C-rs8102280G-rs150268548A-rs968525T), exhibited an inverse effect on hyperlipidemia (P < 0.05-0.0001). There were notable three-locus models comprising SNP-SNP, SNP-environment, and haplotype-haplotype interactions (P < 0.05-0.0001). The individuals with some genotypes and haplotypes reduced the prevalence of hyperlipidemia, whereas the individuals with some other genotypes and haplotypes augmented the prevalence of hyperlipidemia. The NCAN-TM6SF2-CILP2-PBX4-SUGP1-MAU2 SNPs and gene-gene and gene-environment interactions on hyperlipidemia were observed in the population of Southwest China.
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Affiliation(s)
- Guo-Xiong Deng
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China
| | - Rui-Xing Yin
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China.,Guangxi Key Laboratory Base of Precision Medicine in Cardio-cerebrovascular Disease Control and Prevention, Nanning 530021, Guangxi, People's Republic of China.,Guangxi Clinical Research Center for Cardio-cerebrovascular Diseases, Nanning 530021, Guangxi, People's Republic of China
| | - Yao-Zong Guan
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China
| | - Chun-Xiao Liu
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China
| | - Peng-Fei Zheng
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China
| | - Bi-Liu Wei
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China
| | - Jin-Zhen Wu
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China
| | - Liu Miao
- Department of Cardiology, Liuzhou People's Hospital, Liuzhou 545006, Guangxi, People's Republic of China
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Buniello A, MacArthur JAL, Cerezo M, Harris LW, Hayhurst J, Malangone C, McMahon A, Morales J, Mountjoy E, Sollis E, Suveges D, Vrousgou O, Whetzel PL, Amode R, Guillen JA, Riat HS, Trevanion SJ, Hall P, Junkins H, Flicek P, Burdett T, Hindorff LA, Cunningham F, Parkinson H. The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019. Nucleic Acids Res 2020; 47:D1005-D1012. [PMID: 30445434 PMCID: PMC6323933 DOI: 10.1093/nar/gky1120] [Citation(s) in RCA: 2355] [Impact Index Per Article: 588.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 10/25/2018] [Indexed: 02/06/2023] Open
Abstract
The GWAS Catalog delivers a high-quality curated collection of all published genome-wide association studies enabling investigations to identify causal variants, understand disease mechanisms, and establish targets for novel therapies. The scope of the Catalog has also expanded to targeted and exome arrays with 1000 new associations added for these technologies. As of September 2018, the Catalog contains 5687 GWAS comprising 71673 variant-trait associations from 3567 publications. New content includes 284 full P-value summary statistics datasets for genome-wide and new targeted array studies, representing 6 × 109 individual variant-trait statistics. In the last 12 months, the Catalog's user interface was accessed by ∼90000 unique users who viewed >1 million pages. We have improved data access with the release of a new RESTful API to support high-throughput programmatic access, an improved web interface and a new summary statistics database. Summary statistics provision is supported by a new format proposed as a community standard for summary statistics data representation. This format was derived from our experience in standardizing heterogeneous submissions, mapping formats and in harmonizing content. Availability: https://www.ebi.ac.uk/gwas/.
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Affiliation(s)
- Annalisa Buniello
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.,Open Targets, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Jacqueline A L MacArthur
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Maria Cerezo
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Laura W Harris
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - James Hayhurst
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Cinzia Malangone
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Aoife McMahon
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Joannella Morales
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Edward Mountjoy
- Open Targets, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.,Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK.,JDRF/Wellcome Trust Diabetes and Inflammation Laboratory, Wellcome Centre for Human Genetics, University of Oxford, NIHR Oxford Biomedical Research Centre, Nuffield Department of Medicine, Oxford, UK
| | - Elliot Sollis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Daniel Suveges
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Olga Vrousgou
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.,Open Targets, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Patricia L Whetzel
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Ridwan Amode
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Jose A Guillen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Harpreet S Riat
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Stephen J Trevanion
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Peggy Hall
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Heather Junkins
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Tony Burdett
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Lucia A Hindorff
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Fiona Cunningham
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Helen Parkinson
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
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Gysi DM, Nowick K. Construction, comparison and evolution of networks in life sciences and other disciplines. J R Soc Interface 2020; 17:20190610. [PMID: 32370689 PMCID: PMC7276545 DOI: 10.1098/rsif.2019.0610] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 04/09/2020] [Indexed: 12/12/2022] Open
Abstract
Network approaches have become pervasive in many research fields. They allow for a more comprehensive understanding of complex relationships between entities as well as their group-level properties and dynamics. Many networks change over time, be it within seconds or millions of years, depending on the nature of the network. Our focus will be on comparative network analyses in life sciences, where deciphering temporal network changes is a core interest of molecular, ecological, neuropsychological and evolutionary biologists. Further, we will take a journey through different disciplines, such as social sciences, finance and computational gastronomy, to present commonalities and differences in how networks change and can be analysed. Finally, we envision how borrowing ideas from these disciplines could enrich the future of life science research.
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Affiliation(s)
- Deisy Morselli Gysi
- Department of Computer Science, Interdisciplinary Center of Bioinformatics, University of Leipzig, 04109 Leipzig, Germany
- Swarm Intelligence and Complex Systems Group, Faculty of Mathematics and Computer Science, University of Leipzig, 04109 Leipzig, Germany
- Center for Complex Networks Research, Northeastern University, 177 Huntington Avenue, Boston, MA 02115, USA
| | - Katja Nowick
- Human Biology Group, Institute for Biology, Faculty of Biology, Chemistry, Pharmacy, Freie Universität Berlin, Königin-Luise-Straβe 1-3, 14195 Berlin, Germany
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36
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Pinto AR, Silva J, Pinto R, Medeiros R. Aggressive prostate cancer phenotype and genome-wide association studies: where are we now? Pharmacogenomics 2020; 21:487-503. [PMID: 32343194 DOI: 10.2217/pgs-2019-0123] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
The majority of prostate cancer (PCa) is indolent, however, a percentage of patients are initially diagnosed with metastatic disease, for which there is a worse prognosis. There is a lack of biomarkers to identify men at greater risk for developing aggressive PCa. Genome-wide association studies (GWAS) scan the genome to search associations of SNPs with specific traits, like cancer. To date, eight GWAS have resulted in the reporting of 16 SNPs associated with aggressive PCa (p < 5.00 × 10-2). Still, validation studies need to be conducted to confirm the obtained results as GWAS can generate false-positive results. Furthermore, post-GWAS studies provide a better understanding of the functional consequences.
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Affiliation(s)
- Ana R Pinto
- Molecular Oncology & Viral Pathology Group, IPO-Porto Research Center, (CI-IPOP) Portuguese Oncology Institute of Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-4072 Porto, Portugal.,ICBAS, Abel Salazar Institute for the Biomedical Sciences, Rua de Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal
| | - Jani Silva
- Molecular Oncology & Viral Pathology Group, IPO-Porto Research Center, (CI-IPOP) Portuguese Oncology Institute of Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-4072 Porto, Portugal
| | - Ricardo Pinto
- Molecular Oncology & Viral Pathology Group, IPO-Porto Research Center, (CI-IPOP) Portuguese Oncology Institute of Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-4072 Porto, Portugal
| | - Rui Medeiros
- Molecular Oncology & Viral Pathology Group, IPO-Porto Research Center, (CI-IPOP) Portuguese Oncology Institute of Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-4072 Porto, Portugal.,Research Department, Portuguese League Against Cancer (NRNorte), Estrada Interior da Circunvalação, 6657, 4200-172 Porto, Portugal.,CEBIMED, Faculty of Health Sciences, Fernando Pessoa University, Praça 9 de Abril, 349, 4249-004 Porto, Portugal
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Hasnain MJU, Shoaib M, Qadri S, Afzal B, Anwar T, Abbas SH, Sarwar A, Talha Malik HM, Tariq Pervez M. Computational analysis of functional single nucleotide polymorphisms associated with SLC26A4 gene. PLoS One 2020; 15:e0225368. [PMID: 31971949 PMCID: PMC6977751 DOI: 10.1371/journal.pone.0225368] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2019] [Accepted: 11/03/2019] [Indexed: 11/25/2022] Open
Abstract
Single Nucleotide Polymorphisms (SNPs) are the most common candidate mutations in human beings that play a vital role in the genetic basis of certain diseases. Previous studies revealed that Solute Carrier Family 26 Member 4 (SLC26A4) being an essential gene of the multi-faceted transporter family SLC26 facilitates reflexive movement of Iodide into follicular lumen through apical membrane of thyrocyte. SLC26A4 gene encodes Pendred protein, a membrane glycoprotein, highly hydrophobic in nature, present at the apical membrane of thyrocyte functioning as transporter of iodide for thyroid cells. A minor genetic variation in SLC26A4 can cause Pendred syndrome, a syndrome associated with thyroid glands and deafness. In this study, we performed in-silico analysis of 674 missense SNPs of SLC26A4 using different computational platforms. The bunch of tools including SNPNEXUS, SNAP-2, PhD-SNP, SNPs&GO, I-Mutant, ConSurf, and ModPred were used to predict 23 highly confident damaging and disease causing nsSNPs (G209V, G197R, L458P, S427P, Q101P, W472R, N392Y, V359E, R409C, Q235R, R409P, G139V, G497S, H723R, D87G, Y127H, F667C, G334A, G95R, S427C, R291W, Q383H and E384G) that could potentially alter the SLC26A4 gene. Moreover, protein structure prediction, protein-ligand docking and Molecular Dynamics simulation were performed to confirm the impact of two evident alterations (Y127H and G334A) on the protein structure and function.
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Affiliation(s)
| | - Muhammad Shoaib
- Department of Computer Science and Engineering, UET, Lahore, Pakistan
| | - Salman Qadri
- Department of CS & IT, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
| | - Bakhtawar Afzal
- Department of Biosciences, COMSATS University, Islamabad, Pakistan
| | - Tehreem Anwar
- Department of Bioinformatics, Virtual University of Pakistan, Lahore, Pakistan
| | - Syed Hassan Abbas
- Department of Bioinformatics, Virtual University of Pakistan, Lahore, Pakistan
| | - Amina Sarwar
- Department of Bioinformatics, Virtual University of Pakistan, Lahore, Pakistan
| | | | - Muhammad Tariq Pervez
- Department of Bioinformatics, Virtual University of Pakistan, Lahore, Pakistan
- * E-mail:
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Tang W, Saratzis A, Pattee J, Smith J, Pankratz N, Leavy OC, Guan W, Dudbridge F, Pankow JS, Kitas GD, Lutsey PL, Bown MJ. Replication of Newly Identified Genetic Associations Between Abdominal Aortic Aneurysm and SMYD2, LINC00540, PCIF1/MMP9/ZNF335, and ERG. Eur J Vasc Endovasc Surg 2020; 59:92-97. [PMID: 31680049 PMCID: PMC6954948 DOI: 10.1016/j.ejvs.2019.02.017] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Accepted: 02/16/2019] [Indexed: 01/12/2023]
Abstract
OBJECTIVE A recently published genome wide association study of abdominal aortic aneurysms (AAA), based on pooled case control data of European ancestry, identified four new loci for AAA: SMYD2 (top single nucleotide polymorphism [SNP] rs1795061), LINC00540 (rs9316871), PCIF1/MMP9/ZNF335 (rs3827066), and ERG (rs2836411). Of the four, rs1795061 and rs2836411 showed significant heterogeneity across studies and the p value for rs9316871 did not reach the genome wide significance threshold until discovery and replication data were pooled together in that study. The objective of this study was to replicate these newly identified genetic associations for AAA in a US based prospective cohort study, the Atherosclerosis Risk in Communities (ARIC) Study, and a Greece based case control study. METHODS ARIC identified 408 clinically diagnosed AAAs among 8 962 individuals of European ancestry during a median of 22 years of follow up. The Greek case control study included 341 AAAs of European ancestry recruited in a tertiary referral centre and 292 geographically and ethnically matched controls recruited from the same institution. A Cox proportional hazards model was used to analyse the ARIC data and logistic regression to analyse the Greek data. RESULTS In ARIC, rs9316871 and rs3827066 were significantly associated with AAA risk (HR [p] was 0.77 [.004] and 1.22 [.03], respectively), rs2836411 was associated at borderline significance (1.13 [.08]), whereas rs1795061 was not associated (p = .55). In the Greek case control study, rs1795061 and rs2836411 were significantly associated with AAA (OR [p] was 1.66 [< .001] and 1.29 [.04], respectively), whereas rs9316871 was not (p = .81). Genotyping of rs3827066 did not succeed. In the meta-analysis of the two studies, the association for rs9316871and rs2836411 was statistically significant and consistent between the two studies: p = .02 and .007, respectively. CONCLUSIONS Associations between rs9316871and rs2836411 and AAA risk were replicated in the meta-analysis of the two independent cohorts, providing further support for the importance of these loci in the aetiology of AAA.
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Affiliation(s)
- Weihong Tang
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
| | - Athanasios Saratzis
- Department of Cardiovascular Sciences and National Institute of Health Research (NIHR), Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Jack Pattee
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | | | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, MN, USA
| | - Olivia C Leavy
- Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK; Department of Health Sciences, University of Leicester, Leicester, UK
| | - Weihua Guan
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Frank Dudbridge
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - George D Kitas
- College of Life and Environmental Sciences, University of Birmingham, Birmingham, UK
| | - Pamela L Lutsey
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Matthew J Bown
- Department of Cardiovascular Sciences and National Institute of Health Research (NIHR), Leicester Biomedical Research Centre, University of Leicester, Leicester, UK.
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39
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Upadhyaya KC, Kumar A. Perspectives on the human genome. Anim Biotechnol 2020. [DOI: 10.1016/b978-0-12-811710-1.00029-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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40
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Tavares V, Pinto R, Assis J, Pereira D, Medeiros R. Venous thromboembolism GWAS reported genetic makeup and the hallmarks of cancer: Linkage to ovarian tumour behaviour. Biochim Biophys Acta Rev Cancer 2020; 1873:188331. [DOI: 10.1016/j.bbcan.2019.188331] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 11/01/2019] [Accepted: 11/01/2019] [Indexed: 12/14/2022]
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41
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Genetics and Individual Predispositions in Contact Dermatitis. Contact Dermatitis 2020. [DOI: 10.1007/978-3-319-72451-5_2-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Goda H, Kawasaki H, Masuoka Y, Kohama N, Rahman MM. Opportunities and challenges of integrating genetics education about human diversity into public health nurses' responsibilities in Japan. BMC Nurs 2019; 18:65. [PMID: 31827391 PMCID: PMC6902480 DOI: 10.1186/s12912-019-0391-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 11/27/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Many genetic tests are now available due to evolution by the Human Genome Project. However, the growing use of genetic testing and screening may not only lead to improvements in public health and health promotion, but also trigger grave ethical, legal, and societal concerns. The involvement of community healthcare providers is expected in the future because they have direct contact with the residents through their health programs. The aims of the current study were to clarify how public health nurses perceive the relationship between genetics and professional duties and to identify opportunities and challenges of integrating genetics education into their professional duties. METHODS In 2017, data were collected through a focus group interview. Content related to the 'presence or absence of health consultation related to genetic issues as part of actual job duties' and 'training for handling genetic-related health consultations' was extracted. Entire sentences were coded and categorized based on similar semantic content. RESULTS Public health nurses had difficulties in recognizing genetic issues in public health activities. In some cases, genetic contents were included in conversation and consultation with the general public. Through the professional education and experiences, public health nurses needed specialized education, post-graduation studies and mentoring about genetics. CONCLUSIONS Public health nurses whose professional duties do not directly relate to genetics were exposed to genetics-related episodes on a regular basis without their awareness. The provision of accurate information and knowledge related to genetics by public health nurses would also provide an opportunity for clients to be informed about their latent genetic risks. Hence, there is a need for practical resources, the establishment of collaboration networks, and the development of professional organizations for public health nurses.
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Affiliation(s)
- Hiromi Goda
- Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8553 Japan
| | - Hiromi Kawasaki
- Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8553 Japan
| | - Yuko Masuoka
- Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8553 Japan
| | - Natsu Kohama
- Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8553 Japan
| | - Md Moshiur Rahman
- Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8553 Japan
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Shajii A, Numanagić I, Baghdadi R, Berger B, Amarasinghe S. Seq: A High-Performance Language for Bioinformatics. PROCEEDINGS OF THE ACM ON PROGRAMMING LANGUAGES 2019; 3:125. [PMID: 35775031 PMCID: PMC9241673 DOI: 10.1145/3360551] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The scope and scale of biological data are increasing at an exponential rate, as technologies like next-generation sequencing are becoming radically cheaper and more prevalent. Over the last two decades, the cost of sequencing a genome has dropped from $100 million to nearly $100-a factor of over 106-and the amount of data to be analyzed has increased proportionally. Yet, as Moore's Law continues to slow, computational biologists can no longer rely on computing hardware to compensate for the ever-increasing size of biological datasets. In a field where many researchers are primarily focused on biological analysis over computational optimization, the unfortunate solution to this problem is often to simply buy larger and faster machines. Here, we introduce Seq, the first language tailored specifically to bioinformatics, which marries the ease and productivity of Python with C-like performance. Seq starts with a subset of Python-and is in many cases a drop-in replacement-yet also incorporates novel bioinformatics- and computational genomics-oriented data types, language constructs and optimizations. Seq enables users to write high-level, Pythonic code without having to worry about low-level or domain-specific optimizations, and allows for the seamless expression of the algorithms, idioms and patterns found in many genomics or bioinformatics applications. We evaluated Seq on several standard computational genomics tasks like reverse complementation, k-mer manipulation, sequence pattern matching and large genomic index queries. On equivalent CPython code, Seq attains a performance improvement of up to two orders of magnitude, and a 160× improvement once domain-specific language features and optimizations are used. With parallelism, we demonstrate up to a 650× improvement. Compared to optimized C++ code, which is already difficult for most biologists to produce, Seq frequently attains up to a 2× improvement, and with shorter, cleaner code. Thus, Seq opens the door to an age of democratization of highly-optimized bioinformatics software.
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Affiliation(s)
- Ariya Shajii
- MIT CSAIL, 77 Massachusetts Ave, Cambridge, MA, 02139, USA
| | | | | | - Bonnie Berger
- MIT CSAIL, 77 Massachusetts Ave, Cambridge, MA, 02139, USA
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van der Wijst J, Belge H, Bindels RJM, Devuyst O. Learning Physiology From Inherited Kidney Disorders. Physiol Rev 2019; 99:1575-1653. [PMID: 31215303 DOI: 10.1152/physrev.00008.2018] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The identification of genes causing inherited kidney diseases yielded crucial insights in the molecular basis of disease and improved our understanding of physiological processes that operate in the kidney. Monogenic kidney disorders are caused by mutations in genes coding for a large variety of proteins including receptors, channels and transporters, enzymes, transcription factors, and structural components, operating in specialized cell types that perform highly regulated homeostatic functions. Common variants in some of these genes are also associated with complex traits, as evidenced by genome-wide association studies in the general population. In this review, we discuss how the molecular genetics of inherited disorders affecting different tubular segments of the nephron improved our understanding of various transport processes and of their involvement in homeostasis, while providing novel therapeutic targets. These include inherited disorders causing a dysfunction of the proximal tubule (renal Fanconi syndrome), with emphasis on epithelial differentiation and receptor-mediated endocytosis, or affecting the reabsorption of glucose, the handling of uric acid, and the reabsorption of sodium, calcium, and magnesium along the kidney tubule.
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Affiliation(s)
- Jenny van der Wijst
- Department of Physiology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center , Nijmegen , The Netherlands ; Institute of Physiology, University of Zurich , Zurich , Switzerland ; and Division of Nephrology, Institute of Experimental and Clinical Research (IREC), Medical School, Université catholique de Louvain, Brussels, Belgium
| | - Hendrica Belge
- Department of Physiology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center , Nijmegen , The Netherlands ; Institute of Physiology, University of Zurich , Zurich , Switzerland ; and Division of Nephrology, Institute of Experimental and Clinical Research (IREC), Medical School, Université catholique de Louvain, Brussels, Belgium
| | - René J M Bindels
- Department of Physiology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center , Nijmegen , The Netherlands ; Institute of Physiology, University of Zurich , Zurich , Switzerland ; and Division of Nephrology, Institute of Experimental and Clinical Research (IREC), Medical School, Université catholique de Louvain, Brussels, Belgium
| | - Olivier Devuyst
- Department of Physiology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center , Nijmegen , The Netherlands ; Institute of Physiology, University of Zurich , Zurich , Switzerland ; and Division of Nephrology, Institute of Experimental and Clinical Research (IREC), Medical School, Université catholique de Louvain, Brussels, Belgium
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Dahlén A, Wagle M, Zarei M, Guo S. Heritable natural variation of light/dark preference in an outbred zebrafish population. J Neurogenet 2019; 33:199-208. [PMID: 31544554 DOI: 10.1080/01677063.2019.1663846] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Anxiety is a fear-like response to stimuli perceived to be threatening. Excessive or uncontrollable anxiety is a debilitating psychiatric disorder which affects many people throughout their lifetime. In unravelling the complex genetic and environmental regulations of anxiety-like phenotypes, models measuring the natural dark avoidance of larval zebrafish have shed light on the individual variation and heritability of this anxiety-related trait. Using the light/dark choice paradigm and selective breeding, this study aims to validate previous findings of the variable (VDA) and strong dark aversion (SDA) heritability in AB-WT larval zebrafish using the outbred zebrafish strain EK, which offers more genetic diversity to aid in future molecular mapping efforts. 190 larvae (6 days post fertilization [dpf] and 7 dpf) were tested across four trials and divided into variable (VDA), medium (MDA) and strong (SDA) dark aversion for further in-crosses. VDA and MDA larvae became more explorative with time, whereas SDA larvae rarely left the preferred light zone. The SDA and VDA in-crosses significantly increased the respective phenotypes in the second generation of larvae, whereas VDA × MDA inter-crosses did not. For the second-generation SDA cohort, dark aversion correlated with increased thigmotaxis, which reinforces SDA as an anxiety-like phenotype. Our finding that the dark aversion trait and SDA and VDA phenotypes are heritable in an outbred zebrafish population lays an important foundation for future studies of genetic underpinnings using whole-genome mapping methods. This conserved fear/anxiety-like response in a highly accessible model organism also allows for further pharmacological and behavioral studies to elucidate the etiology of anxiety and the search for novel therapeutics for anxiety disorders.
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Affiliation(s)
- Amelia Dahlén
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA.,School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK
| | - Mahendra Wagle
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA
| | - Mahdi Zarei
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA
| | - Su Guo
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA
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Dawkins RL, Lloyd SS. MHC Genomics and Disease: Looking Back to Go Forward. Cells 2019; 8:cells8090944. [PMID: 31438577 PMCID: PMC6769595 DOI: 10.3390/cells8090944] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 08/15/2019] [Accepted: 08/16/2019] [Indexed: 02/07/2023] Open
Abstract
Ancestral haplotypes are conserved but extremely polymorphic kilobase sequences, which have been faithfully inherited over at least hundreds of generations in spite of migration and admixture. They carry susceptibility and resistance to diverse diseases, including deficiencies of CYP21 hydroxylase (47.1) and complement components (18.1), as well as numerous autoimmune diseases (8.1). The haplotypes are detected by segregation within ethnic groups rather than by SNPs and GWAS. Susceptibility to some other diseases is carried by specific alleles shared by multiple ancestral haplotypes, e.g., ankylosing spondylitis and narcolepsy. The difference between these two types of association may explain the disappointment with many GWAS. Here we propose a pathway for combining the two different approaches. SNP typing is most useful after the conserved ancestral haplotypes have been defined by other methods.
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Affiliation(s)
- Roger L Dawkins
- Centre for Innovation in Agriculture, Murdoch University and C Y O'Connor ERADE Village Foundation, North Dandalup 6207, Western Australia, Australia.
| | - Sally S Lloyd
- Centre for Innovation in Agriculture, Murdoch University and C Y O'Connor ERADE Village Foundation, North Dandalup 6207, Western Australia, Australia
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Long C, Lv G, Fu X. Development of a general logistic model for disease risk prediction using multiple SNPs. FEBS Open Bio 2019; 9:2006-2012. [PMID: 31423732 PMCID: PMC6823278 DOI: 10.1002/2211-5463.12722] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2019] [Revised: 08/08/2019] [Accepted: 08/16/2019] [Indexed: 02/05/2023] Open
Abstract
Human diseases are usually linked to multiloci genetic alterations, including single‐nucleotide polymorphisms (SNPs). Methods to use these SNPs for disease risk prediction (DRP) are of clinical interest. DRP algorithms explored by commercial companies to date have tended to be complex and led to controversial prediction results. Here, we present a general approach for establishing a logistic model‐based DRP algorithm, in which multiple SNP risk factors from different publications are directly used. In particular, the coefficient β of each SNP is set as the natural logarithm of the reported odds ratio, and the constant coefficient β0 is comprehensively determined by the coefficient and frequency of each SNP and the average disease risk in populations. Furthermore, homozygous SNP is considered a dummy variable, and the SNPs are updated (addition, deletion and modification) if necessary. Importantly, we validated this algorithm as a proof of concept: two patients with lung cancer were identified as the maximum risk cases from 57 Chinese individuals. Our logistic model‐based DRP algorithm is apparently more intuitive and self‐evident than the algorithms explored by commercial companies, and it may facilitate DRP commercialization in the era of personalized medicine.
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Affiliation(s)
- Cheng Long
- West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Guanting Lv
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Xinmiao Fu
- Provincial University Key Laboratory of Cellular Stress Response and Metabolic Regulation, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian, China
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Genetic Variation in Long-Range Enhancers. Curr Top Behav Neurosci 2019; 42:35-50. [PMID: 31396896 DOI: 10.1007/7854_2019_110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
Cis-regulatory elements (CREs), including insulators, promoters, and enhancers, play critical roles in the establishment and maintenance of normal cellular function. Within each cell, the 3D structure of chromatin is arranged in specific patterns to expose the CREs required for optimal spatiotemporal regulation of gene expression. CREs can act over large distances along the linear genome, facilitated by looping of the intervening chromatin to allow direct interaction between distal regulatory elements and their target genes. A number of pathologies are associated with dysregulation of CRE function, including developmental disorders, cancers, and neuropsychiatric disease. A majority of known neuropsychiatric disease risk loci are noncoding, and increasing evidence suggests that they contribute to disease through disruption of CREs. As such, rather than directly altering the amino acid content of proteins, these variants are instead thought to affect where, when, and to what extent a given gene is expressed. The distances over which CREs can operate often render their target genes difficult to identify. Furthermore, as many risk loci contain multiple variants in high linkage disequilibrium, identification of the causative single nucleotide polymorphism(s) therein is not straightforward. Thus, deciphering the genetic etiology of complex neuropsychiatric disorders presents a significant challenge.
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Sergouniotis PI. Inherited Retinal Disorders: Using Evidence as a Driver for Implementation. Ophthalmologica 2019; 242:187-194. [PMID: 31280272 DOI: 10.1159/000500574] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Accepted: 04/25/2019] [Indexed: 11/19/2022]
Abstract
Incremental advances in the field of retinal genetics have transformed our understanding of inherited retinal disorders and have led to the development of powerful diagnostic tests and promising gene-based therapies. Despite this, successful integration of these developments into routine healthcare is frequently ineffective. Providing robust evidence of benefit can accelerate the implementation of clinical genetic interventions. For example, the adoption of a genetic test is much more likely when the test's clinical utility (i.e. its ability to influence management and health outcomes) has been clearly demonstrated. However, accruing such evidence for rare conditions like inherited retinal disorders is challenging. Conducting sufficiently powered studies requires both efficient study designs and large-scale, international collaboration. Reaching all populations and as many affected individuals as possible is key. Equally important are efforts to precisely and consistently capture phenotypic information, including natural history data. This article summarizes some of the current obstacles to implemen-tation and discusses approaches to overcome these barriers.
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Affiliation(s)
- Panagiotis I Sergouniotis
- Division of Evolution and Genomic Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom, .,Manchester Centre for Genomic Medicine, Saint Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom, .,Manchester Royal Eye Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom,
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50
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HTRA1 synergizes with oxidized phospholipids in promoting inflammation and macrophage infiltration essential for ocular VEGF expression. PLoS One 2019; 14:e0216808. [PMID: 31100080 PMCID: PMC6524793 DOI: 10.1371/journal.pone.0216808] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Accepted: 04/29/2019] [Indexed: 01/10/2023] Open
Abstract
Understanding oxidative stress and HTRA1 locus in abnormal angiogenesis resulting in wet AMD pathology is an important step in developing a novel therapeutic approach. Using subretinal injection of oxLDL into C57BL/6 mice, we observed a lesion resembling the features of choroidal neovascularization (CNV), including macrophage infiltration, increased VEGF expression, and neovascularization. However, incubating ARPE-19 cells with oxLDL–a carrier of oxidized phospholipids–resulted in increased expression of inflammatory cytokines and chemoattractant proteins that recruited monocytes, but no substantial increase in expression of VEGF. Furthermore, incubation of ARPE-19 with oxLDL induced higher expression of HTRA1, which we showed to synergize with oxLDL in elevating the expression of inflammatory cytokines and chemoattractant factors. To investigate the role of macrophage infiltration on these expression changes, we treated cultured J774 macrophages with oxLDL and applied the conditioned medium onto ARPE-19 cells. This treatment was found to greatly enhance the expression of VEGF in ARPE-19, indicating the necessity of macrophage secretory products to induce increased expression of VEGF in retinal pigment epithelium. Gene expression analysis revealed that oxLDL induced the expression of Wnt3A in macrophages, a key activator of canonical Wnt signaling pathways. In addition, western blot analysis showed that the macrophage conditioned media further enhanced the reduction of phosphorylated β-catenin induced by oxLDL. Lastly, we investigated HTRA1 as a potential target for AMD therapeutics. We demonstrated the ability of anti-HTRA1 antibody in vitro to neutralize the protease activity of HTRA1 and reduce the inflammatory and angiogenic response to oxidative stress. Finally, we validated the neutralizing effect of anti-HTRA1 antibody in vivo by evaluating lesion size and protein expression in a laser-photocoagulation murine model of CNV. We found that the combination of oxLDL and HTRA1 enhanced CNV size, which was reversed by the addition of anti-HTRA1 antibody. This study not only provides preliminary evidence that HTRA1 may be a viable target for AMD therapeutics but also elucidates the biochemical mechanisms by which this therapeutic effect may be mediated.
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