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Jans D, Cleynen I. The genetics of non-monogenic IBD. Hum Genet 2023; 142:669-682. [PMID: 36720734 DOI: 10.1007/s00439-023-02521-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 01/10/2023] [Indexed: 02/02/2023]
Abstract
Inflammatory bowel disease (IBD), with Crohn's disease and ulcerative colitis as main subtypes, is a prototypical multifactorial disease with both genetic and environmental factors involved. Genetically, IBD covers a wide spectrum from monogenic to polygenic forms. In polygenic disease, many genetic variants each contribute a small amount to disease risk. With the advent of genome-wide association studies (GWAS), it became possible to find these variants and corresponding genes, leading so far to the discovery of ca 240 loci associated with IBD. Together, these however explain only 20-25% of the heritability of IBD, leaving a large portion unaccounted for. This missing heritability might be hidden in common variants with even lower effect than the ones currently found through GWAS, but also in rare variants which can be found through large-scale sequencing studies or potentially in multiplex families. In this review, we will give an overview of the current knowledge about the genetics of non-monogenic IBD and how it differs from the monogenic form(s), and future perspectives. The history of IBD genetic studies from twin studies over linkage studies to GWAS, and finally large-scale sequencing studies and the revisiting of multiplex families will be discussed.
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Affiliation(s)
- Deborah Jans
- Laboratory for Complex Genetics, Department of Human Genetics, KU Leuven, Herestraat 49, box610, 3000, Louvain, Belgium
| | - Isabelle Cleynen
- Laboratory for Complex Genetics, Department of Human Genetics, KU Leuven, Herestraat 49, box610, 3000, Louvain, Belgium.
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2
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Chowdhury R, Bouatta N, Biswas S, Floristean C, Kharkar A, Roy K, Rochereau C, Ahdritz G, Zhang J, Church GM, Sorger PK, AlQuraishi M. Single-sequence protein structure prediction using a language model and deep learning. Nat Biotechnol 2022; 40:1617-1623. [PMID: 36192636 PMCID: PMC10440047 DOI: 10.1038/s41587-022-01432-w] [Citation(s) in RCA: 137] [Impact Index Per Article: 68.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 07/15/2022] [Indexed: 12/30/2022]
Abstract
AlphaFold2 and related computational systems predict protein structure using deep learning and co-evolutionary relationships encoded in multiple sequence alignments (MSAs). Despite high prediction accuracy achieved by these systems, challenges remain in (1) prediction of orphan and rapidly evolving proteins for which an MSA cannot be generated; (2) rapid exploration of designed structures; and (3) understanding the rules governing spontaneous polypeptide folding in solution. Here we report development of an end-to-end differentiable recurrent geometric network (RGN) that uses a protein language model (AminoBERT) to learn latent structural information from unaligned proteins. A linked geometric module compactly represents Cα backbone geometry in a translationally and rotationally invariant way. On average, RGN2 outperforms AlphaFold2 and RoseTTAFold on orphan proteins and classes of designed proteins while achieving up to a 106-fold reduction in compute time. These findings demonstrate the practical and theoretical strengths of protein language models relative to MSAs in structure prediction.
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Affiliation(s)
- Ratul Chowdhury
- Laboratory of Systems Pharmacology, Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
| | - Nazim Bouatta
- Laboratory of Systems Pharmacology, Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA.
| | - Surojit Biswas
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Nabla Bio, Inc., Boston, MA, USA
| | | | - Anant Kharkar
- Department of Computer Science, Columbia University, New York, NY, USA
| | - Koushik Roy
- Department of Computer Science, Columbia University, New York, NY, USA
| | - Charlotte Rochereau
- Integrated Program in Cellular, Molecular, and Biomedical Studies, Columbia University, New York, NY, USA
| | - Gustaf Ahdritz
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - Joanna Zhang
- Department of Computer Science, Columbia University, New York, NY, USA
| | - George M Church
- Laboratory of Systems Pharmacology, Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Peter K Sorger
- Laboratory of Systems Pharmacology, Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA.
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
| | - Mohammed AlQuraishi
- Department of Computer Science, Columbia University, New York, NY, USA.
- Department of Systems Biology, Columbia University, New York, NY, USA.
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4
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Chen R, Tie Y, Lu J, Li L, Zeng Z, Chen M, Zhang S. Tripartite motif family proteins in inflammatory bowel disease: Mechanisms and potential for interventions. Cell Prolif 2022; 55:e13222. [PMID: 35373402 PMCID: PMC9136508 DOI: 10.1111/cpr.13222] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 03/04/2022] [Indexed: 11/29/2022] Open
Abstract
Inflammatory bowel disease (IBD) is a chronic recurrent gastrointestinal inflammatory disease that poses a heavy burden to the global healthcare system. However, the current paucity of mechanistic understanding of IBD pathogenesis hampers the development of aetiology‐directed therapies. Novel therapeutic options based on IBD pathogenesis are urgently needed for attaining better long‐term prognosis for IBD patients. The tripartite motif (TRIM) family is a large protein family including more than 70 structurally conservative members, typically characterized by their RBCC structure, which primarily function as E3 ubiquitin ligases in post‐translational modification. They have emerged as regulators of a broad range of cellular mechanisms, including proliferation, differentiation, transcription and immune regulation. TRIM family proteins are involved in multiple diseases, such as viral infection, cancer and autoimmune disorders, including inflammatory bowel disease. This review provides a comprehensive perspective on TRIM proteins' involvement in the pathophysiology and progression of IBD, in particular, on intestinal mucosal barriers, gene susceptibility and opportunistic infections, thus providing novel therapeutic targets for this complicated disease. However, the exact mechanisms of TRIM proteins in IBD pathogenesis and IBD‐related carcinogenesis are still unknown, and more studies are warranted to explore potential therapeutic targets of TRIM proteins in IBD.
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Affiliation(s)
- Rirong Chen
- Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Yizhe Tie
- Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.,Department of Clinical Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
| | - Jinyu Lu
- Department of Clinical Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.,Reproductive Medicine Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Li Li
- Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Zhirong Zeng
- Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Minhu Chen
- Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Shenghong Zhang
- Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
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5
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Ruban M, Slavick A, Amir A, Ben-Tov A, Moran-Lev H, Weintraub Y, Anafy A, Cohen S, Yerushalmy-Feler A. Increasing rate of a positive family history of inflammatory bowel disease (IBD) in pediatric IBD patients. Eur J Pediatr 2022; 181:745-751. [PMID: 34568966 DOI: 10.1007/s00431-021-04269-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 08/21/2021] [Accepted: 09/18/2021] [Indexed: 11/30/2022]
Abstract
The role of a positive family history in pediatric inflammatory bowel disease (IBD) in the era of biologic therapy has not been elucidated. We retrospectively reviewed the medical records of children with IBD and retrieved demographic and clinical characteristics, including the presence of a positive family history of IBD, IBD phenotype, disease course, and therapy. Overall, 325 children (age range at diagnosis 11-15 years) were included, of whom 82 (25.2%) had a positive family history. Children diagnosed during 2016-2020 had a higher frequency of positive family history compared to those diagnosed during 2010-2015 (31.8% versus 20.7%, respectively, p = 0.024). Children with a positive family history had a higher risk for a stricturing phenotype than those with a negative family history (11.3% versus 2.8%, respectively, p = 0.052). They more often received nutritional therapy (53.7% versus 36.6%, p = 0.007) and less often received corticosteroids (36.6% versus 52.7%, p = 0.012). More children with a negative family history needed intensification of biologic therapy (p = 0.041).Conclusion: The rate of a positive family history of IBD in the pediatric IBD population is increasing. A positive family history may have some impact upon IBD phenotype but none on IBD outcome. What is Known: •Familial clustering of inflammatory bowel disease (IBD) has been reported in 5%-15% of IBD patients. •The investigation of the impact of a positive family history upon IBD characteristics and severity revealed conflicting results. What is New: •In this cohort of 325 children with IBD, 25.2% had a positive family history. •The rate of a positive family history of IBD in the pediatric IBD population is increasing. •A positive family history may have some impact upon IBD phenotype but none on IBD outcome.
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Affiliation(s)
- Maya Ruban
- Pediatric Gastroenterology Unit, Dana-Dwek Children's Hospital, Tel Aviv Sourasky Medical Center, affiliated to the Sackler Faculty of Medicine, Tel Aviv University, 6 Weizmann Street, 6423906, Tel Aviv, Israel
| | - Adam Slavick
- Pediatric Gastroenterology Unit, Dana-Dwek Children's Hospital, Tel Aviv Sourasky Medical Center, affiliated to the Sackler Faculty of Medicine, Tel Aviv University, 6 Weizmann Street, 6423906, Tel Aviv, Israel
| | - Achiya Amir
- Pediatric Gastroenterology Unit, Dana-Dwek Children's Hospital, Tel Aviv Sourasky Medical Center, affiliated to the Sackler Faculty of Medicine, Tel Aviv University, 6 Weizmann Street, 6423906, Tel Aviv, Israel
| | - Amir Ben-Tov
- Pediatric Gastroenterology Unit, Dana-Dwek Children's Hospital, Tel Aviv Sourasky Medical Center, affiliated to the Sackler Faculty of Medicine, Tel Aviv University, 6 Weizmann Street, 6423906, Tel Aviv, Israel
| | - Hadar Moran-Lev
- Pediatric Gastroenterology Unit, Dana-Dwek Children's Hospital, Tel Aviv Sourasky Medical Center, affiliated to the Sackler Faculty of Medicine, Tel Aviv University, 6 Weizmann Street, 6423906, Tel Aviv, Israel
| | - Yael Weintraub
- Pediatric Gastroenterology Unit, Dana-Dwek Children's Hospital, Tel Aviv Sourasky Medical Center, affiliated to the Sackler Faculty of Medicine, Tel Aviv University, 6 Weizmann Street, 6423906, Tel Aviv, Israel
| | - Adi Anafy
- Pediatric Gastroenterology Unit, Dana-Dwek Children's Hospital, Tel Aviv Sourasky Medical Center, affiliated to the Sackler Faculty of Medicine, Tel Aviv University, 6 Weizmann Street, 6423906, Tel Aviv, Israel
| | - Shlomi Cohen
- Pediatric Gastroenterology Unit, Dana-Dwek Children's Hospital, Tel Aviv Sourasky Medical Center, affiliated to the Sackler Faculty of Medicine, Tel Aviv University, 6 Weizmann Street, 6423906, Tel Aviv, Israel.
| | - Anat Yerushalmy-Feler
- Pediatric Gastroenterology Unit, Dana-Dwek Children's Hospital, Tel Aviv Sourasky Medical Center, affiliated to the Sackler Faculty of Medicine, Tel Aviv University, 6 Weizmann Street, 6423906, Tel Aviv, Israel
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6
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Ben-Yosef N, Frampton M, Schiff ER, Daher S, Abu Baker F, Safadi R, Israeli E, Segal AW, Levine AP. Genetic analysis of four consanguineous multiplex families with inflammatory bowel disease. Gastroenterol Rep (Oxf) 2021; 9:521-532. [PMID: 34925849 PMCID: PMC8677555 DOI: 10.1093/gastro/goab007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 11/03/2020] [Accepted: 11/26/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Family studies support a genetic predisposition to inflammatory bowel diseases (IBD), but known genetic variants only partially explain the disease heritability. Families with multiple affected individuals potentially harbour rare and high-impact causal variants. Long regions of homozygosity due to recent inbreeding may increase the risk of individuals bearing homozygous loss-of-function variants. This study aimed to identify rare and homozygous genetic variants contributing to IBD. METHODS Four families with known consanguinity and multiple cases of IBD were recruited. In a family-specific analysis, we utilised homozygosity mapping complemented by whole-exome sequencing. RESULTS We detected a single region of homozygosity shared by Crohn's disease cases from a family of Druze ancestry, spanning 2.6 Mb containing the NOD2 gene. Whole-exome sequencing did not identify any potentially damaging variants within the region, suggesting that non-coding variation may be involved. In addition, affected individuals in the families harboured several rare and potentially damaging homozygous variants in genes with a role in autophagy and innate immunity including LRRK1, WHAMM, DENND3, and C5. CONCLUSION This study examined the potential contribution of rare, high-impact homozygous variants in consanguineous families with IBD. While the analysis was not designed to achieve statistical significance, our findings highlight genes or loci that warrant further research. Non-coding variants affecting NOD2 may be of importance in Druze patients with Crohn's disease.
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Affiliation(s)
- Noam Ben-Yosef
- Centre for Molecular Medicine, Division of Medicine, University College London, London, UK
- Institute of Gastroenterology and Liver disease, Hadassah Medical Center, Jerusalem, Israel
| | - Matthew Frampton
- Centre for Molecular Medicine, Division of Medicine, University College London, London, UK
| | - Elena R Schiff
- Institute of Ophthalmology, Moorfields Eye Hospital, University College London, London, UK
| | - Saleh Daher
- Institute of Gastroenterology and Liver disease, Hadassah Medical Center, Jerusalem, Israel
| | - Fadi Abu Baker
- Institue of Gastroenterology and Hepatology, Hillel Yaffe Medical Center, Hadera, Israel
| | - Rifaat Safadi
- Institute of Gastroenterology and Liver disease, Hadassah Medical Center, Jerusalem, Israel
| | - Eran Israeli
- Institute of Gastroenterology and Liver disease, E. Wolfson Medical Center, Holon, Israel
| | - Anthony W Segal
- Centre for Molecular Medicine, Division of Medicine, University College London, London, UK
| | - Adam P Levine
- Centre for Molecular Medicine, Division of Medicine, University College London, London, UK
- Department of Pathology, University College London, London, UK
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7
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Miller DB, Robison R, Piccolo SR. Toward a methodology for evaluating DNA variants in nuclear families. PLoS One 2021; 16:e0258375. [PMID: 34624066 PMCID: PMC8500447 DOI: 10.1371/journal.pone.0258375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 09/27/2021] [Indexed: 11/22/2022] Open
Abstract
The genetic underpinnings of most pediatric-cancer cases are unknown. Population-based studies use large sample sizes but have accounted for only a small proportion of the estimated heritability of pediatric cancers. Pedigree-based studies are infeasible for most human populations. One alternative is to collect genetic data from a single nuclear family and use inheritance patterns within the family to filter candidate variants. This approach can be applied to common and rare variants, including those that are private to a given family or to an affected individual. We evaluated this approach using genetic data from three nuclear families with 5, 4, and 7 children, respectively. Only one child in each nuclear family had been diagnosed with cancer, and neither parent had been affected. Diagnoses for the affected children were benign low-grade astrocytoma, Wilms tumor (stage 2), and Burkitt's lymphoma, respectively. We used whole-genome sequencing to profile normal cells from each family member and a linked-read technology for genomic phasing. For initial variant filtering, we used global minor allele frequencies, deleteriousness scores, and functional-impact annotations. Next, we used genetic variation in the unaffected siblings as a guide to filter the remaining variants. As a way to evaluate our ability to detect variant(s) that may be relevant to disease status, the corresponding author blinded the primary author to affected status; the primary author then assigned a risk score to each child. Based on this evidence, the primary author predicted which child had been affected in each family. The primary author's prediction was correct for the child who had been diagnosed with a Wilms tumor; the child with Burkitt's lymphoma had the second-highest risk score among the seven children in that family. This study demonstrates a methodology for filtering and evaluating candidate genomic variants and genes within nuclear families that may merit further exploration.
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Affiliation(s)
- Dustin B. Miller
- Department of Biology, Brigham Young University, Provo, UT, United States of America
| | - Reid Robison
- Department of Biology, Brigham Young University, Provo, UT, United States of America
- Department of Psychiatry, University of Utah, Salt Lake City, UT, United States of America
| | - Stephen R. Piccolo
- Department of Biology, Brigham Young University, Provo, UT, United States of America
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8
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Schiff ER, Frampton M, Ben-Yosef N, Avila BE, Semplici F, Pontikos N, Bloom SL, McCartney SA, Vega R, Lovat LB, Wood E, Hart A, Israeli E, Crespi D, Furman MA, Mann S, Murray CD, Segal AW, Levine AP. Rare coding variant analysis in a large cohort of Ashkenazi Jewish families with inflammatory bowel disease. Hum Genet 2018; 137:723-734. [PMID: 30167848 PMCID: PMC6153494 DOI: 10.1007/s00439-018-1927-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Accepted: 07/31/2018] [Indexed: 02/08/2023]
Abstract
Rare variants are thought to contribute to the genetics of inflammatory bowel disease (IBD), which is more common amongst the Ashkenazi Jewish (AJ) population. A family-based approach using exome sequencing of AJ individuals with IBD was employed with a view to identify novel rare genetic variants for this disease. Exome sequencing was performed on 960 Jewish individuals including 513 from 199 multiplex families with up to eight cases. Rare, damaging variants in loci prioritized by linkage analysis and those shared by multiple affected individuals within the same family were identified. Independent evidence of association of each variant with disease was assessed. A number of candidate variants were identified, including in genes involved in the immune system. The ability to achieve statistical significance in independent case/control replication data was limited by power and was only achieved for variants in the well-established Crohn's disease gene, NOD2. This work demonstrates the challenges of identifying disease-associated rare damaging variants from exome data, even amongst a favorable cohort of familial cases from a genetic isolate. Further research of the prioritized rare candidate variants is required to confirm their association with the disease.
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Affiliation(s)
- E R Schiff
- Centre for Molecular Medicine, Division of Medicine, University College London, London, UK
| | - M Frampton
- Centre for Molecular Medicine, Division of Medicine, University College London, London, UK
| | - N Ben-Yosef
- Centre for Molecular Medicine, Division of Medicine, University College London, London, UK
- Inflammatory Bowel Disease Unit, Institute of Gastroenterology and Liver Diseases, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - B E Avila
- Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - F Semplici
- Centre for Molecular Medicine, Division of Medicine, University College London, London, UK
| | - N Pontikos
- UCL Genetics Institute, Division of Biosciences, University College London, London, UK
| | - S L Bloom
- Department of Gastroenterology, University College London Hospital, London, UK
| | - S A McCartney
- Department of Gastroenterology, University College London Hospital, London, UK
| | - R Vega
- Department of Gastroenterology, University College London Hospital, London, UK
| | - L B Lovat
- Research Department of Tissue and Energy, Division of Surgery and Interventional Science, University College London, London, UK
| | - E Wood
- Gastroenterology Department, Homerton University Hospital, London, UK
| | - A Hart
- Gastroenterology Department, St Mark's Hospital, London, UK
| | - E Israeli
- Inflammatory Bowel Disease Unit, Institute of Gastroenterology and Liver Diseases, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - D Crespi
- Centre for Paediatric Gastroenterology, Royal Free Hospital, London, UK
| | - M A Furman
- Centre for Paediatric Gastroenterology, Royal Free Hospital, London, UK
| | - S Mann
- Gastroenterology Department, Barnet General Hospital, London, UK
| | - C D Murray
- Centre for Gastroenterology, Royal Free Hospital, London, UK
| | - A W Segal
- Centre for Molecular Medicine, Division of Medicine, University College London, London, UK
| | - A P Levine
- Centre for Molecular Medicine, Division of Medicine, University College London, London, UK.
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9
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Gushchina LV, Kwiatkowski TA, Bhattacharya S, Weisleder NL. Conserved structural and functional aspects of the tripartite motif gene family point towards therapeutic applications in multiple diseases. Pharmacol Ther 2018; 185:12-25. [PMID: 29097306 PMCID: PMC5721676 DOI: 10.1016/j.pharmthera.2017.10.020] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The tripartite motif (TRIM) gene family is a highly conserved group of E3 ubiquitin ligase proteins that can establish substrate specificity for the ubiquitin-proteasome complex and also have proteasome-independent functions. While several family members were studied previously, it is relatively recent that over 80 genes, based on sequence homology, were grouped to establish the TRIM gene family. Functional studies of various TRIM genes linked these proteins to modulation of inflammatory responses showing that they can contribute to a wide variety of disease states including cardiovascular, neurological and musculoskeletal diseases, as well as various forms of cancer. Given the fundamental role of the ubiquitin-proteasome complex in protein turnover and the importance of this regulation in most aspects of cellular physiology, it is not surprising that TRIM proteins display a wide spectrum of functions in a variety of cellular processes. This broad range of function and the highly conserved primary amino acid sequence of family members, particularly in the canonical TRIM E3 ubiquitin ligase domain, complicates the development of therapeutics that specifically target these proteins. A more comprehensive understanding of the structure and function of TRIM proteins will help guide therapeutic development for a number of different diseases. This review summarizes the structural organization of TRIM proteins, their domain architecture, common and unique post-translational modifications within the family, and potential binding partners and targets. Further discussion is provided on efforts to target TRIM proteins as therapeutic agents and how our increasing understanding of the nature of TRIM proteins can guide discovery of other therapeutics in the future.
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Affiliation(s)
- Liubov V Gushchina
- Department of Physiology & Cell Biology, The Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Thomas A Kwiatkowski
- Department of Physiology & Cell Biology, The Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Sayak Bhattacharya
- Department of Physiology & Cell Biology, The Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Noah L Weisleder
- Department of Physiology & Cell Biology, The Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
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10
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Glusman G, Rose PW, Prlić A, Dougherty J, Duarte JM, Hoffman AS, Barton GJ, Bendixen E, Bergquist T, Bock C, Brunk E, Buljan M, Burley SK, Cai B, Carter H, Gao J, Godzik A, Heuer M, Hicks M, Hrabe T, Karchin R, Leman JK, Lane L, Masica DL, Mooney SD, Moult J, Omenn GS, Pearl F, Pejaver V, Reynolds SM, Rokem A, Schwede T, Song S, Tilgner H, Valasatava Y, Zhang Y, Deutsch EW. Mapping genetic variations to three-dimensional protein structures to enhance variant interpretation: a proposed framework. Genome Med 2017; 9:113. [PMID: 29254494 PMCID: PMC5735928 DOI: 10.1186/s13073-017-0509-y] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
The translation of personal genomics to precision medicine depends on the accurate interpretation of the multitude of genetic variants observed for each individual. However, even when genetic variants are predicted to modify a protein, their functional implications may be unclear. Many diseases are caused by genetic variants affecting important protein features, such as enzyme active sites or interaction interfaces. The scientific community has catalogued millions of genetic variants in genomic databases and thousands of protein structures in the Protein Data Bank. Mapping mutations onto three-dimensional (3D) structures enables atomic-level analyses of protein positions that may be important for the stability or formation of interactions; these may explain the effect of mutations and in some cases even open a path for targeted drug development. To accelerate progress in the integration of these data types, we held a two-day Gene Variation to 3D (GVto3D) workshop to report on the latest advances and to discuss unmet needs. The overarching goal of the workshop was to address the question: what can be done together as a community to advance the integration of genetic variants and 3D protein structures that could not be done by a single investigator or laboratory? Here we describe the workshop outcomes, review the state of the field, and propose the development of a framework with which to promote progress in this arena. The framework will include a set of standard formats, common ontologies, a common application programming interface to enable interoperation of the resources, and a Tool Registry to make it easy to find and apply the tools to specific analysis problems. Interoperability will enable integration of diverse data sources and tools and collaborative development of variant effect prediction methods.
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Affiliation(s)
| | - Peter W Rose
- San Diego Supercomputer Center, University of California San Diego, La Jolla, CA, 98093, USA
| | - Andreas Prlić
- San Diego Supercomputer Center, University of California San Diego, La Jolla, CA, 98093, USA.,RCSB Protein Data Bank, University of California San Diego, La Jolla, CA, 98093, USA
| | | | - José M Duarte
- RCSB Protein Data Bank, University of California San Diego, La Jolla, CA, 98093, USA
| | - Andrew S Hoffman
- Human Centered Design & Engineering, University of Washington, Seattle, WA, 98195, USA
| | - Geoffrey J Barton
- Division of Computational Biology, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK
| | - Emøke Bendixen
- Department of Molecular Biology and Genetics, Aarhus University, 8000, Aarhus, Denmark
| | - Timothy Bergquist
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, 98109, USA
| | - Christian Bock
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, 98109, USA
| | - Elizabeth Brunk
- University of California San Diego, La Jolla, CA, 92093, USA
| | - Marija Buljan
- Institute of Molecular Systems Biology, ETH Zurich, CH-8093, Zurich, Switzerland
| | - Stephen K Burley
- San Diego Supercomputer Center, University of California San Diego, La Jolla, CA, 98093, USA.,RCSB Protein Data Bank, University of California San Diego, La Jolla, CA, 98093, USA.,Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA
| | - Binghuang Cai
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, 98109, USA
| | - Hannah Carter
- University of California San Diego, La Jolla, CA, 92093, USA
| | - JianJiong Gao
- Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Adam Godzik
- SBP Medical Discovery Institute, La Jolla, CA, 92037, USA
| | - Michael Heuer
- AMPLab, University of California, Berkeley, CA, 94720, USA
| | | | - Thomas Hrabe
- SBP Medical Discovery Institute, La Jolla, CA, 92037, USA
| | - Rachel Karchin
- Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, 21218, USA.,Department of Oncology, Johns Hopkins Medicine, Baltimore, MD, 21287, USA
| | - Julia Koehler Leman
- Flatiron Institute, Center for Computational Biology, Simons Foundation, New York, NY, 10010, USA.,Department of Biology and Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA
| | - Lydie Lane
- SIB Swiss Institute of Bioinformatics and University of Geneva, CH-1211, Geneva, Switzerland
| | - David L Masica
- Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Sean D Mooney
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, 98109, USA
| | - John Moult
- Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD, 20850, USA.,Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD, 20742, USA
| | - Gilbert S Omenn
- Institute for Systems Biology, Seattle, WA, 98109, USA.,Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, 48109-2218, USA
| | - Frances Pearl
- School of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK
| | - Vikas Pejaver
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, 98109, USA.,The University of Washington eScience Institute, Seattle, WA, 98195, USA
| | | | - Ariel Rokem
- The University of Washington eScience Institute, Seattle, WA, 98195, USA
| | - Torsten Schwede
- SIB Swiss Institute of Bioinformatics and Biozentrum University of Basel, CH-4056, Basel, Switzerland
| | - Sicheng Song
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, 98109, USA
| | - Hagen Tilgner
- Brain and Mind Research Institute, Weill Cornell Medicine, New York City, NY, 10021, USA
| | - Yana Valasatava
- RCSB Protein Data Bank, University of California San Diego, La Jolla, CA, 98093, USA
| | - Yang Zhang
- Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, 48109-2218, USA
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11
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Petersen BS, Fredrich B, Hoeppner MP, Ellinghaus D, Franke A. Opportunities and challenges of whole-genome and -exome sequencing. BMC Genet 2017; 18:14. [PMID: 28193154 PMCID: PMC5307692 DOI: 10.1186/s12863-017-0479-5] [Citation(s) in RCA: 127] [Impact Index Per Article: 18.1] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2016] [Accepted: 01/26/2017] [Indexed: 01/08/2023] Open
Abstract
Recent advances in the development of sequencing technologies provide researchers with unprecedented possibilities for genetic analyses. In this review, we will discuss the history of genetic studies and the progress driven by next-generation sequencing (NGS), using complex inflammatory bowel diseases as an example. We focus on the opportunities, but also challenges that researchers are facing when working with NGS data to unravel the genetic causes underlying diseases.
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Affiliation(s)
| | - Broder Fredrich
- Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany
| | - Marc P Hoeppner
- Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany
| | - David Ellinghaus
- Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany.
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12
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Kim J, Shimizu C, Kingsmore SF, Veeraraghavan N, Levy E, Ribeiro dos Santos AM, Yang H, Flatley J, Hoang LT, Hibberd ML, Tremoulet AH, Harismendy O, Ohno-Machado L, Burns JC. Whole genome sequencing of an African American family highlights toll like receptor 6 variants in Kawasaki disease susceptibility. PLoS One 2017; 12:e0170977. [PMID: 28151979 PMCID: PMC5289527 DOI: 10.1371/journal.pone.0170977] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Accepted: 01/13/2017] [Indexed: 12/18/2022] Open
Abstract
Kawasaki disease (KD) is the most common acquired pediatric heart disease. We analyzed Whole Genome Sequences (WGS) from a 6-member African American family in which KD affected two of four children. We sought rare, potentially causative genotypes by sequentially applying the following WGS filters: sequence quality scores, inheritance model (recessive homozygous and compound heterozygous), predicted deleteriousness, allele frequency, genes in KD-associated pathways or with significant associations in published KD genome-wide association studies (GWAS), and with differential expression in KD blood transcriptomes. Biologically plausible genotypes were identified in twelve variants in six genes in the two affected children. The affected siblings were compound heterozygous for the rare variants p.Leu194Pro and p.Arg247Lys in Toll-like receptor 6 (TLR6), which affect TLR6 signaling. The affected children were also homozygous for three common, linked (r2 = 1) intronic single nucleotide variants (SNVs) in TLR6 (rs56245262, rs56083757 and rs7669329), that have previously shown association with KD in cohorts of European descent. Using transcriptome data from pre-treatment whole blood of KD subjects (n = 146), expression quantitative trait loci (eQTL) analyses were performed. Subjects homozygous for the intronic risk allele (A allele of TLR6 rs56245262) had differential expression of Interleukin-6 (IL-6) as a function of genotype (p = 0.0007) and a higher erythrocyte sedimentation rate at diagnosis. TLR6 plays an important role in pathogen-associated molecular pattern recognition, and sequence variations may affect binding affinities that in turn influence KD susceptibility. This integrative genomic approach illustrates how the analysis of WGS in multiplex families with a complex genetic disease allows examination of both the common disease-common variant and common disease-rare variant hypotheses.
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Affiliation(s)
- Jihoon Kim
- Department of Biomedical Informatics, University of California San Diego, La Jolla, California, United States of America
| | - Chisato Shimizu
- Department of Pediatrics, University of California San Diego, La Jolla, California, United States of America
| | - Stephen F. Kingsmore
- Rady Children’s Institute for Genomic Medicine, Rady Children’s Hospital, San Diego, California, United States of America
| | - Narayanan Veeraraghavan
- Rady Children’s Institute for Genomic Medicine, Rady Children’s Hospital, San Diego, California, United States of America
| | - Eric Levy
- Department of Biomedical Informatics, University of California San Diego, La Jolla, California, United States of America
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, California, United States of America
| | - Andre M. Ribeiro dos Santos
- Department of Biomedical Informatics, University of California San Diego, La Jolla, California, United States of America
| | - Hai Yang
- Department of Biomedical Informatics, University of California San Diego, La Jolla, California, United States of America
| | - Jay Flatley
- Illumina, San Diego, California, United States of America
| | | | - Martin L. Hibberd
- Depatment of Pathogen Molecular Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Adriana H. Tremoulet
- Department of Pediatrics, University of California San Diego, La Jolla, California, United States of America
- Rady Children’s Hospital San Diego, San Diego, California, United States of America
| | - Olivier Harismendy
- Department of Biomedical Informatics, University of California San Diego, La Jolla, California, United States of America
- Moores Cancer Center, University of California San Diego, La Jolla, California, United States of America
| | - Lucila Ohno-Machado
- Department of Biomedical Informatics, University of California San Diego, La Jolla, California, United States of America
| | - Jane C. Burns
- Department of Pediatrics, University of California San Diego, La Jolla, California, United States of America
- Rady Children’s Hospital San Diego, San Diego, California, United States of America
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13
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Genetic architecture differences between pediatric and adult-onset inflammatory bowel diseases in the Polish population. Sci Rep 2016; 6:39831. [PMID: 28008999 PMCID: PMC5180213 DOI: 10.1038/srep39831] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Accepted: 11/29/2016] [Indexed: 12/15/2022] Open
Abstract
Most inflammatory bowel diseases (IBDs) are classic complex disorders represented by common alleles. Here we aimed to define the genetic architecture of pediatric and adult-onset IBDs for the Polish population. A total of 1495 patients were recruited, including 761 patients with Crohn’s disease (CD; 424 pediatric), 734 patients with ulcerative colitis (UC; 390 pediatric), and 934 healthy controls. Allelotyping employed a pooled-DNA genome-wide association study (GWAS) and was validated by individual genotyping. Whole exome sequencing (WES) was performed on 44 IBD patients diagnosed before 6 years of age, 45 patients diagnosed after 40 years of age, and 18 healthy controls. Altogether, out of 88 selected SNPs, 31 SNPs were replicated for association with IBD. A novel BRD2 (rs1049526) association reached significance of P = 5.2 × 10−11 and odds ratio (OR) = 2.43. Twenty SNPs were shared between pediatric and adult patients; 1 and 7 were unique to adult-onset and pediatric-onset IBD, respectively. WES identified numerous rare and potentially deleterious variants in IBD-associated or innate immunity-associated genes. Deleterious alleles in both groups were over-represented among rare variants in affected children. Our GWAS revealed differences in the polygenic architecture of pediatric- and adult-onset IBD. A significant accumulation of rare and deleterious variants in affected children suggests a contribution by yet unexplained genetic components.
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14
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Chung RH, Tsai WY, Kang CY, Yao PJ, Tsai HJ, Chen CH. FamPipe: An Automatic Analysis Pipeline for Analyzing Sequencing Data in Families for Disease Studies. PLoS Comput Biol 2016; 12:e1004980. [PMID: 27272119 PMCID: PMC4894624 DOI: 10.1371/journal.pcbi.1004980] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Accepted: 05/12/2016] [Indexed: 11/18/2022] Open
Abstract
In disease studies, family-based designs have become an attractive approach to analyzing next-generation sequencing (NGS) data for the identification of rare mutations enriched in families. Substantial research effort has been devoted to developing pipelines for automating sequence alignment, variant calling, and annotation. However, fewer pipelines have been designed specifically for disease studies. Most of the current analysis pipelines for family-based disease studies using NGS data focus on a specific function, such as identifying variants with Mendelian inheritance or identifying shared chromosomal regions among affected family members. Consequently, some other useful family-based analysis tools, such as imputation, linkage, and association tools, have yet to be integrated and automated. We developed FamPipe, a comprehensive analysis pipeline, which includes several family-specific analysis modules, including the identification of shared chromosomal regions among affected family members, prioritizing variants assuming a disease model, imputation of untyped variants, and linkage and association tests. We used simulation studies to compare properties of some modules implemented in FamPipe, and based on the results, we provided suggestions for the selection of modules to achieve an optimal analysis strategy. The pipeline is under the GNU GPL License and can be downloaded for free at http://fampipe.sourceforge.net.
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Affiliation(s)
- Ren-Hua Chung
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
- * E-mail:
| | - Wei-Yun Tsai
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
| | - Chen-Yu Kang
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
| | - Po-Ju Yao
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
| | - Hui-Ju Tsai
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
- Department of Public Health, China Medical University, Taichung, Taiwan
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America
| | - Chia-Hsiang Chen
- Department of Psychiatry, Chang Gung Memorial Hospital-Linkou, Gueishan, Taoyuan, Taiwan
- Department and Graduate Institute of Biomedical Sciences, Chang Gung University, Taoyuan, Taiwan
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