551
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Cesca F, Bettella E, Polli R, Leonardi E, Aspromonte MC, Sicilian B, Stanzial F, Benedicenti F, Sensi A, Ciorba A, Bigoni S, Cama E, Scimemi P, Santarelli R, Murgia A. Frequency of Usher gene mutations in non-syndromic hearing loss: higher variability of the Usher phenotype. J Hum Genet 2020; 65:855-864. [PMID: 32467589 DOI: 10.1038/s10038-020-0783-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 05/05/2020] [Accepted: 05/15/2020] [Indexed: 11/09/2022]
Abstract
Non-syndromic hearing loss (NSHL) is characterized by a vast genetic heterogeneity; some syndromic forms as Usher syndrome (USH) have onset as isolated deafness and then evolve later in life. We developed an NGS targeted gene-panel containing 59 genes and a customized bioinformatic pipeline for the analysis of DNA samples from clinically highly selected subjects with sensorineural hearing loss, previously resulted negative for GJB2 mutations/GJB6 deletions. Among the 217 tested subjects, 24 (11.1%) were found to carry mutations in genes involved both in NSHL and USH. For 6 out of 24 patients a diagnosis of USH was performed. Eleven subjects out of 24 had hearing loss without vestibular or ocular dysfunction and, due to their young age, it was not possible to establish whether their phenotype could be NSHL or USH. Seven subjects were diagnosed with NSHL, due to their age and phenotype. A total of 41 likely pathogenic/pathogenic mutations were identified, among which 17 novel ones. We report a high frequency of mutations in genes involved both in NSHL and in USH in a cohort of individuals tested for seemingly isolated deafness. Our data also highlight a wider than expected phenotypic variability in the USH phenotype.
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Affiliation(s)
- Federica Cesca
- Laboratory of Molecular Genetics of Neurodevelopment, Department of Women's and Children's Health, University of Padua, Padua, Italy.,Fondazione Istituto di Ricerca Pediatrica (IRP), Città della Speranza, Padua, Italy
| | - Elisa Bettella
- Laboratory of Molecular Genetics of Neurodevelopment, Department of Women's and Children's Health, University of Padua, Padua, Italy.,Fondazione Istituto di Ricerca Pediatrica (IRP), Città della Speranza, Padua, Italy
| | - Roberta Polli
- Laboratory of Molecular Genetics of Neurodevelopment, Department of Women's and Children's Health, University of Padua, Padua, Italy.,Fondazione Istituto di Ricerca Pediatrica (IRP), Città della Speranza, Padua, Italy
| | - Emanuela Leonardi
- Laboratory of Molecular Genetics of Neurodevelopment, Department of Women's and Children's Health, University of Padua, Padua, Italy.,Fondazione Istituto di Ricerca Pediatrica (IRP), Città della Speranza, Padua, Italy
| | - Maria Cristina Aspromonte
- Laboratory of Molecular Genetics of Neurodevelopment, Department of Women's and Children's Health, University of Padua, Padua, Italy.,Fondazione Istituto di Ricerca Pediatrica (IRP), Città della Speranza, Padua, Italy
| | - Barbara Sicilian
- Medical Center of Phoniatrics, Casa di Cura Trieste, Padua, Italy
| | - Franco Stanzial
- Genetic Counseling Service, Regional Hospital of Bolzano, Bolzano, Italy
| | | | - Alberto Sensi
- U.O. Medical Genetics Romagna, AULS Romagna, Cesena, Italy
| | - Andrea Ciorba
- ENT and Audiology Department, University Hospital of Ferrara, Ferrara, Italy
| | - Stefania Bigoni
- Medical Genetics Unit, University Hospital of Ferrara, Ferrara, Italy
| | - Elona Cama
- Department of Neurosciences, University of Padua, Padua, Italy.,Audiology Service, Santi Giovanni e Paolo Hospital, ULSS3 Serenissima, Venice, Italy
| | - Pietro Scimemi
- Department of Neurosciences, University of Padua, Padua, Italy.,Audiology Service, Santi Giovanni e Paolo Hospital, ULSS3 Serenissima, Venice, Italy
| | - Rosamaria Santarelli
- Department of Neurosciences, University of Padua, Padua, Italy.,Audiology Service, Santi Giovanni e Paolo Hospital, ULSS3 Serenissima, Venice, Italy
| | - Alessandra Murgia
- Laboratory of Molecular Genetics of Neurodevelopment, Department of Women's and Children's Health, University of Padua, Padua, Italy. .,Fondazione Istituto di Ricerca Pediatrica (IRP), Città della Speranza, Padua, Italy.
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552
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Chen S, Wang G, Zheng X, Ge S, Dai Y, Ping P, Chen X, Liu G, Zhang J, Yang Y, Zhang X, Zhong A, Zhu Y, Chu Q, Huang Y, Zhang Y, Shen C, Yuan Y, Yuan Q, Pei X, Cheng CY, Sun F. Whole-exome sequencing of a large Chinese azoospermia and severe oligospermia cohort identifies novel infertility causative variants and genes. Hum Mol Genet 2020; 29:2451-2459. [PMID: 32469048 DOI: 10.1093/hmg/ddaa101] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Revised: 05/17/2020] [Accepted: 05/25/2020] [Indexed: 12/16/2022] Open
Abstract
Abstract
Rare coding variants have been proven to be one of the significant factors contributing to spermatogenic failure in patients with non-obstructive azoospermia (NOA) and severe oligospermia (SO). To delineate the molecular characteristics of idiopathic NOA and SO, we performed whole-exome sequencing of 314 unrelated patients of Chinese Han origin and verified our findings by comparing to 400 fertile controls. We detected six pathogenic/likely pathogenic variants and four variants of unknown significance, in genes known to cause NOA/SO, and 9 of which had not been earlier reported. Additionally, we identified 20 novel NOA candidate genes affecting 25 patients. Among them, five (BRDT, CHD5, MCM9, MLH3 and ZFX) were considered as strong candidates based on the evidence obtained from murine functional studies and human single-cell (sc)RNA-sequencing data. These genetic findings provide insight into the aetiology of human NOA/SO and pave the way for further functional analysis and molecular diagnosis of male infertility.
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Affiliation(s)
- Shitao Chen
- International Peace Maternity and Child Health Hospital, Shanghai Key Laboratory for Reproductive Medicine, School of Medicine, Shanghai Jiaotong University, Shanghai, 200030, China
| | - Guishuan Wang
- Institute of Reproductive Medicine, School of Medicine, Nantong University, Nantong, 226001, China
| | - Xiaoguo Zheng
- International Peace Maternity and Child Health Hospital, Shanghai Key Laboratory for Reproductive Medicine, School of Medicine, Shanghai Jiaotong University, Shanghai, 200030, China
| | - Shunna Ge
- International Peace Maternity and Child Health Hospital, Shanghai Key Laboratory for Reproductive Medicine, School of Medicine, Shanghai Jiaotong University, Shanghai, 200030, China
| | - Yubing Dai
- International Peace Maternity and Child Health Hospital, Shanghai Key Laboratory for Reproductive Medicine, School of Medicine, Shanghai Jiaotong University, Shanghai, 200030, China
| | - Ping Ping
- Department of Urology, Shanghai Human Sperm Bank, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200120, China
| | - Xiangfeng Chen
- Department of Urology, Shanghai Human Sperm Bank, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200120, China
| | - Guihua Liu
- Department of Andrology, Reproductive Medicine Research Center, the Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510655, China
| | - Jing Zhang
- Department of Andrology, Reproductive Medicine Research Center, the Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510655, China
| | - Yang Yang
- Department of Reproduction, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, 100026, China
| | - Xinzong Zhang
- Key Laboratory of Male Reproduction and Genetics, National Health and Family Planning Commission, Family Planning Research Institute of Guangdong Province, Guangzhou, 510031, China
| | - An Zhong
- Key Laboratory of Male Reproduction and Genetics, National Health and Family Planning Commission, Family Planning Research Institute of Guangdong Province, Guangzhou, 510031, China
| | - Yongtong Zhu
- Department of Obstetrics and Gynecology, Reproductive Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Qingjun Chu
- Department of Obstetrics and Gynecology, Reproductive Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Yonghan Huang
- The First People's Hospital of Foshan, Sun Yat-sen University, Foshan, 528000, China
| | - Yong Zhang
- Center of Assisted Reproductive Medicine, The Sixth Medical Center of PLA General Hospital, Beijing, 100083, China
| | - Changli Shen
- Reproductive Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China
| | - Yiming Yuan
- Peking University First Hospital Andrology Center & Urology Department, Beijing, 100034, China
| | - Qilong Yuan
- Guangdong Province Hospital of Chinese Medicine, Guangzhou, 510140, China
| | - Xiuying Pei
- Key Laboratory of Fertility Preservation and Maintenance of Ministry of Education, School of Basic Medicine, Ningxia Medical University, Yinchuan, 750004, China
| | - C Yan Cheng
- The Mary M. Wohlford Laboratory for Male Contraceptive Research, Center for Biomedical Research, Population Council, New York, 10065, USA
| | - Fei Sun
- International Peace Maternity and Child Health Hospital, Shanghai Key Laboratory for Reproductive Medicine, School of Medicine, Shanghai Jiaotong University, Shanghai, 200030, China
- Institute of Reproductive Medicine, School of Medicine, Nantong University, Nantong, 226001, China
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553
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Oak N, Cherniack AD, Mashl RJ, Hirsch FR, Ding L, Beroukhim R, Gümüş ZH, Plon SE, Huang KL. Ancestry-specific predisposing germline variants in cancer. Genome Med 2020; 12:51. [PMID: 32471518 PMCID: PMC7260738 DOI: 10.1186/s13073-020-00744-3] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 05/07/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Distinct prevalence of inherited genetic predisposition may partially explain the difference of cancer risks across ancestries. Ancestry-specific analyses of germline genomes are required to inform cancer genetic risk and prognosis of diverse populations. METHODS We conducted analyses using germline and somatic sequencing data generated by The Cancer Genome Atlas. Collapsing pathogenic and likely pathogenic variants to cancer predisposition genes (CPG), we analyzed the association between CPGs and cancer types within ancestral groups. We also identified the predisposition-associated two-hit events and gene expression effects in tumors. RESULTS Genetic ancestry analysis classified the cohort of 9899 cancer cases into individuals of primarily European (N = 8184, 82.7%), African (N = 966, 9.8%), East Asian (N = 649, 6.6%), South Asian (N = 48, 0.5%), Native/Latin American (N = 41, 0.4%), and admixed (N = 11, 0.1%) ancestries. In the African ancestry, we discovered a potentially novel association of BRCA2 in lung squamous cell carcinoma (OR = 41.4 [95% CI, 6.1-275.6]; FDR = 0.002) previously identified in Europeans, along with a known association of BRCA2 in ovarian serous cystadenocarcinoma (OR = 8.5 [95% CI, 1.5-47.4]; FDR = 0.045). In the East Asian ancestry, we discovered one previously known association of BRIP1 in stomach adenocarcinoma (OR = 12.8 [95% CI, 1.8-90.8]; FDR = 0.038). Rare variant burden analysis further identified 7 suggestive associations in African ancestry individuals previously described in European ancestry, including SDHB in pheochromocytoma and paraganglioma, ATM in prostate adenocarcinoma, VHL in kidney renal clear cell carcinoma, FH in kidney renal papillary cell carcinoma, and PTEN in uterine corpus endometrial carcinoma. Most predisposing variants were found exclusively in one ancestry in the TCGA and gnomAD datasets. Loss of heterozygosity was identified for 7 out of the 15 African ancestry carriers of predisposing variants. Further, tumors from the SDHB or BRCA2 carriers showed simultaneous allelic-specific expression and low gene expression of their respective affected genes, and FH splice-site variant carriers showed mis-splicing of FH. CONCLUSIONS While several CPGs are shared across patients, many pathogenic variants are found to be ancestry-specific and trigger somatic effects. Studies using larger cohorts of diverse ancestries are required to pinpoint ancestry-specific genetic predisposition and inform genetic screening strategies.
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Affiliation(s)
- Ninad Oak
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Andrew D Cherniack
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, 02142, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - R Jay Mashl
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, 63108, USA
- McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO, 63108, USA
| | - Fred R Hirsch
- Department of Oncological Sciences, Center for Thoracic Oncology, Tisch Cancer Institute, New York, NY, USA
| | - Li Ding
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, 63108, USA
- McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO, 63108, USA
- Department of Genetics, Washington University in St. Louis, St. Louis, MO, 63108, USA
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, 63108,, USA
| | - Rameen Beroukhim
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, 02142, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Zeynep H Gümüş
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Sharon E Plon
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Kuan-Lin Huang
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
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554
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Dixon K, Young S, Shen Y, Thibodeau ML, Fok A, Pleasance E, Zhao E, Jones M, Aubert G, Armstrong L, Virani A, Regier D, Gelmon K, Renouf D, Chia S, Bosdet I, Rassekh SR, Deyell RJ, Yip S, Fisic A, Titmuss E, Abadi S, Jones SJM, Sun S, Karsan A, Marra M, Laskin J, Lim H, Schrader KA. Establishing a Framework for the Clinical Translation of Germline Findings in Precision Oncology. JNCI Cancer Spectr 2020; 4:pkaa045. [PMID: 33134827 PMCID: PMC7583151 DOI: 10.1093/jncics/pkaa045] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 02/05/2020] [Accepted: 05/25/2020] [Indexed: 11/14/2022] Open
Abstract
Inherited genetic variation has important implications for cancer screening, early diagnosis, and disease prognosis. A role for germline variation has also been described in shaping the molecular landscape, immune response, microenvironment, and treatment response of individual tumors. However, there is a lack of consensus on the handling and analysis of germline information that extends beyond known or suspected cancer susceptibility in large-scale cancer genomics initiatives. As part of the Personalized OncoGenomics program in British Columbia, we performed whole-genome and transcriptome sequencing in paired tumor and normal tissues from advanced cancer patients to characterize the molecular tumor landscape and identify putative targets for therapy. Overall, our experience supports a multidisciplinary and integrative approach to germline data management. This includes a need for broader definitions and standardized recommendations regarding primary and secondary germline findings in precision oncology. Here, we propose a framework for identifying, evaluating, and returning germline variants of potential clinical significance that may have indications for health management beyond cancer risk reduction or prevention in patients and their families.
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Affiliation(s)
- Katherine Dixon
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Sean Young
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Yaoqing Shen
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada
| | - My Linh Thibodeau
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alexandra Fok
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada
| | - Erin Pleasance
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada
| | - Eric Zhao
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada
| | - Martin Jones
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada
| | - Geraldine Aubert
- Terry Fox Laboratory, BC Cancer Research Centre, Vancouver, British Columbia, Canada
| | - Linlea Armstrong
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.,Provincial Medical Genetics Program, Children's & Women's Health Centre of British Columbia, Vancouver, British Columbia, Canada
| | - Alice Virani
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.,Ethics Service, Provincial Health Service of Authority of BC, Vancouver, British Columbia, Canada
| | - Dean Regier
- Canadian Centre for Applied Research in Cancer Control, Cancer Control Research, BC Cancer, Vancouver, British Columbia, Canada.,School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Karen Gelmon
- Division of Medical Oncology, BC Cancer, Vancouver, British Columbia, Canada
| | - Dan Renouf
- Division of Medical Oncology, BC Cancer, Vancouver, British Columbia, Canada
| | - Stephen Chia
- Division of Medical Oncology, BC Cancer, Vancouver, British Columbia, Canada
| | - Ian Bosdet
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Cancer Genetics and Genomics Laboratory, BC Cancer, Vancouver, British Columbia, Canada
| | - S Rod Rassekh
- BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada.,Division of Hematology/Oncology and BMT, Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Rebecca J Deyell
- BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada.,Division of Hematology/Oncology and BMT, Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Stephen Yip
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Cancer Genetics and Genomics Laboratory, BC Cancer, Vancouver, British Columbia, Canada
| | - Ana Fisic
- Division of Medical Oncology, BC Cancer, Vancouver, British Columbia, Canada
| | - Emma Titmuss
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada
| | - Shirin Abadi
- Department of Pharmacy, BC Cancer, Vancouver, British Columbia, Canada
| | - Steven J M Jones
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.,Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada
| | - Sophie Sun
- Division of Medical Oncology, BC Cancer, Vancouver, British Columbia, Canada.,Hereditary Cancer Program, BC Cancer, Vancouver, British Columbia, Canada
| | - Aly Karsan
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada
| | - Marco Marra
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.,Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada
| | - Janessa Laskin
- Division of Medical Oncology, BC Cancer, Vancouver, British Columbia, Canada
| | - Howard Lim
- Division of Medical Oncology, BC Cancer, Vancouver, British Columbia, Canada
| | - Kasmintan A Schrader
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.,Hereditary Cancer Program, BC Cancer, Vancouver, British Columbia, Canada.,Department of Molecular Oncology, BC Cancer, Vancouver, British Columbia, Canada
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555
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Luo X, Deng S, Jiang Y, Wang X, Al-Raimi AMA, Wu L, Liu X, Song Y, Chen X, Zhu F. Identification of a Pathogenic TGFBR2 Variant in a Patient With Loeys-Dietz Syndrome. Front Genet 2020; 11:479. [PMID: 32528524 PMCID: PMC7266969 DOI: 10.3389/fgene.2020.00479] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2019] [Accepted: 04/17/2020] [Indexed: 12/21/2022] Open
Abstract
Loeys-Dietz syndrome (LDS) is a rare connective tissue genetic disorder that is caused by a pathogenic variant in genes of transforming growth factor (TGF) beta receptor 1 (TGFBR1), TGFBR2, mothers against decapentaplegic homolog 2 (SMAD2), SMAD3, TGFB2, or TGFB3. It is characterized by aggressive vascular pathology, aneurysms, arterial tortuosity, bifid uvula, hypertelorism, and cleft palate. Here we present a 42-year-old female patient with LDS. The patient underwent rapidly progressing artery aneurysms and life-threatening aortic dissection. Spontaneous fracture of the first metatarsal bone was noted in her medical record. Physical examination revealed a delayed wound healing on her left abdomen. Considering these clinical manifestations, we speculated that there was a genetic defect in the connective tissue, which provides strength and flexibility to structures such as bones, skins, ligaments, and blood vessels. Thus, whole exome sequencing (WES) was performed on the proband and revealed a heterozygous missense pathogenic variant (c.1613T > C/p.Val538Ala) in TGFBR2, which was a de novo variant in the proband as confirmed by the segregation analysis in parental samples. Although this variant was discovered and associated with the phenotype of LDS previously, the pathogenicity of the variant had not been confirmed by cellular functional assay yet. To further validate the effects of the variant in vitro, we assessed the canonical TGF-β signaling pathway in mutant cells. Our results showed that the p.Val538Ala variant significantly decreased TGF-β-induced gene transcription and the phosphorylation of Smad2, which were consistent with other pathogenic variants of TGFBR2. In conclusion, this study demonstrates that the p.Val538Ala pathogenic variant in TGFBR2 leads to aberrant TGF-β signaling and LDS in this patient.
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Affiliation(s)
- Xi Luo
- Department of Cardiology, Wuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinic Center of Human Gene Research, Wuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shan Deng
- Department of Cardiology, Wuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinic Center of Human Gene Research, Wuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Jiang
- Department of Cardiology, Wuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiang Wang
- Department of Cardiology, Wuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | | | - Long Wu
- Department of Cardiovascular Surgery, Wuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaobin Liu
- Department of Cardiovascular Surgery, Wuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Song
- Department of Cardiovascular Surgery, Wuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiao Chen
- Department of Cardiology, Wuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feng Zhu
- Department of Cardiology, Wuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinic Center of Human Gene Research, Wuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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556
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Wang J, Huang D, Zhou Y, Yao H, Liu H, Zhai S, Wu C, Zheng Z, Zhao K, Wang Z, Yi X, Zhang S, Liu X, Liu Z, Chen K, Yu Y, Sham PC, Li MJ. CAUSALdb: a database for disease/trait causal variants identified using summary statistics of genome-wide association studies. Nucleic Acids Res 2020; 48:D807-D816. [PMID: 31691819 PMCID: PMC7145620 DOI: 10.1093/nar/gkz1026] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2019] [Revised: 10/19/2019] [Accepted: 10/21/2019] [Indexed: 12/13/2022] Open
Abstract
Genome-wide association studies (GWASs) have revolutionized the field of complex trait genetics over the past decade, yet for most of the significant genotype-phenotype associations the true causal variants remain unknown. Identifying and interpreting how causal genetic variants confer disease susceptibility is still a big challenge. Herein we introduce a new database, CAUSALdb, to integrate the most comprehensive GWAS summary statistics to date and identify credible sets of potential causal variants using uniformly processed fine-mapping. The database has six major features: it (i) curates 3052 high-quality, fine-mappable GWAS summary statistics across five human super-populations and 2629 unique traits; (ii) estimates causal probabilities of all genetic variants in GWAS significant loci using three state-of-the-art fine-mapping tools; (iii) maps the reported traits to a powerful ontology MeSH, making it simple for users to browse studies on the trait tree; (iv) incorporates highly interactive Manhattan and LocusZoom-like plots to allow visualization of credible sets in a single web page more efficiently; (v) enables online comparison of causal relations on variant-, gene- and trait-levels among studies with different sample sizes or populations and (vi) offers comprehensive variant annotations by integrating massive base-wise and allele-specific functional annotations. CAUSALdb is freely available at http://mulinlab.org/causaldb.
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Affiliation(s)
- Jianhua Wang
- 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.,Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Dandan Huang
- 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.,Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Yao Zhou
- 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.,Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Hongcheng Yao
- School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Huanhuan Liu
- Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Sinan Zhai
- School of Biomedical Engineering, Tianjin Medical University, Tianjin, China
| | - Chengwei Wu
- School of Biomedical Engineering, Tianjin Medical University, Tianjin, China
| | - Zhanye Zheng
- Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Ke Zhao
- Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Zhao Wang
- Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Xianfu Yi
- School of Biomedical Engineering, Tianjin Medical University, Tianjin, China
| | - Shijie Zhang
- Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Xiaorong Liu
- Clinical laboratory, Institute of Pediatrics, Shenzhen Children's Hospital, Shenzhen, China
| | - Zipeng Liu
- Centre of Genomics Sciences, State Key Laboratory of Brain and Cognitive Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Tianjin Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Ying Yu
- Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Pak Chung Sham
- Centre of Genomics Sciences, State Key Laboratory of Brain and Cognitive Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Mulin Jun Li
- 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.,Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.,Department of Epidemiology and Biostatistics, Tianjin Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
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557
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Carminho-Rodrigues MT, Klee P, Laurent S, Guipponi M, Abramowicz M, Cao-van H, Guinand N, Paoloni-Giacobino A. LARS2-Perrault syndrome: a new case report and literature review. BMC MEDICAL GENETICS 2020; 21:109. [PMID: 32423379 PMCID: PMC7236518 DOI: 10.1186/s12881-020-01028-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Accepted: 04/16/2020] [Indexed: 01/28/2023]
Abstract
Background Perrault syndrome is a rare recessive and genetically heterogeneous disorder characterized by sensorineural hearing loss in males and females and gonadal dysgenesis in females. Mutations in seven different genes have been identified: HARS2, HSD17B4, CLLP, C10orf, ERAL1, TWNK and LARS2. To date, 19 variants have been reported in 18 individuals with LARS2-Perrault syndrome. Case presentation Here we describe the case of an 8-year-old girl with compound heterozygous missense mutations in the LARS2 gene. We identified two missense mutations [c.457A > C, p.(Asn153His) and c.1565C > A, p.(Thr522Asn)] and subsequent familial segregation showed that each parent had transmitted a mutation. Conclusions These results have implications for genetic counseling and provide insight into the functional role of LARS2. This case highlights the importance of an early diagnosis. Systematic genetic screening of children with hearing loss allows the early identification of a Perrault syndrome in order to ensure specific endocrinological surveillance and management to prevent secondary complications. Clinical data are compared with the other cases reported in the literature.
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Affiliation(s)
- Maria Teresa Carminho-Rodrigues
- Department of Genetic Medicine, University Hospitals of Geneva Rue, Gabrielle-Perret-Gentil 4, 1211, Genève 14, Switzerland.
| | - Phillipe Klee
- Departement of Pediatrics endocrinology, Geneva University Hospital, Geneva, Switzerland
| | - Sacha Laurent
- Department of Genetic Medicine, University Hospitals of Geneva Rue, Gabrielle-Perret-Gentil 4, 1211, Genève 14, Switzerland
| | - Michel Guipponi
- Department of Genetic Medicine, University Hospitals of Geneva Rue, Gabrielle-Perret-Gentil 4, 1211, Genève 14, Switzerland
| | - Marc Abramowicz
- Department of Genetic Medicine, University Hospitals of Geneva Rue, Gabrielle-Perret-Gentil 4, 1211, Genève 14, Switzerland
| | - Hélène Cao-van
- Departement of ENT, Geneva University Hospital, Geneva, Switzerland
| | - Nils Guinand
- Departement of ENT, Geneva University Hospital, Geneva, Switzerland
| | - Ariane Paoloni-Giacobino
- Department of Genetic Medicine, University Hospitals of Geneva Rue, Gabrielle-Perret-Gentil 4, 1211, Genève 14, Switzerland
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558
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Clark MM, Hildreth A, Batalov S, Ding Y, Chowdhury S, Watkins K, Ellsworth K, Camp B, Kint CI, Yacoubian C, Farnaes L, Bainbridge MN, Beebe C, Braun JJA, Bray M, Carroll J, Cakici JA, Caylor SA, Clarke C, Creed MP, Friedman J, Frith A, Gain R, Gaughran M, George S, Gilmer S, Gleeson J, Gore J, Grunenwald H, Hovey RL, Janes ML, Lin K, McDonagh PD, McBride K, Mulrooney P, Nahas S, Oh D, Oriol A, Puckett L, Rady Z, Reese MG, Ryu J, Salz L, Sanford E, Stewart L, Sweeney N, Tokita M, Van Der Kraan L, White S, Wigby K, Williams B, Wong T, Wright MS, Yamada C, Schols P, Reynders J, Hall K, Dimmock D, Veeraraghavan N, Defay T, Kingsmore SF. Diagnosis of genetic diseases in seriously ill children by rapid whole-genome sequencing and automated phenotyping and interpretation. Sci Transl Med 2020; 11:11/489/eaat6177. [PMID: 31019026 DOI: 10.1126/scitranslmed.aat6177] [Citation(s) in RCA: 184] [Impact Index Per Article: 36.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2018] [Revised: 10/24/2018] [Accepted: 04/01/2019] [Indexed: 12/19/2022]
Abstract
By informing timely targeted treatments, rapid whole-genome sequencing can improve the outcomes of seriously ill children with genetic diseases, particularly infants in neonatal and pediatric intensive care units (ICUs). The need for highly qualified professionals to decipher results, however, precludes widespread implementation. We describe a platform for population-scale, provisional diagnosis of genetic diseases with automated phenotyping and interpretation. Genome sequencing was expedited by bead-based genome library preparation directly from blood samples and sequencing of paired 100-nt reads in 15.5 hours. Clinical natural language processing (CNLP) automatically extracted children's deep phenomes from electronic health records with 80% precision and 93% recall. In 101 children with 105 genetic diseases, a mean of 4.3 CNLP-extracted phenotypic features matched the expected phenotypic features of those diseases, compared with a match of 0.9 phenotypic features used in manual interpretation. We automated provisional diagnosis by combining the ranking of the similarity of a patient's CNLP phenome with respect to the expected phenotypic features of all genetic diseases, together with the ranking of the pathogenicity of all of the patient's genomic variants. Automated, retrospective diagnoses concurred well with expert manual interpretation (97% recall and 99% precision in 95 children with 97 genetic diseases). Prospectively, our platform correctly diagnosed three of seven seriously ill ICU infants (100% precision and recall) with a mean time saving of 22:19 hours. In each case, the diagnosis affected treatment. Genome sequencing with automated phenotyping and interpretation in a median of 20:10 hours may increase adoption in ICUs and, thereby, timely implementation of precise treatments.
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Affiliation(s)
- Michelle M Clark
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Amber Hildreth
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA.,Department of Pediatrics, University of California San Diego, San Diego, CA 92093, USA.,Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
| | - Sergey Batalov
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Yan Ding
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Shimul Chowdhury
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Kelly Watkins
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | | | - Brandon Camp
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | | | | | - Lauge Farnaes
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA.,Department of Pediatrics, University of California San Diego, San Diego, CA 92093, USA
| | - Matthew N Bainbridge
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA.,Codified Genomics, LLC, Houston, TX 77033, USA
| | - Curtis Beebe
- Rady Children's Hospital, San Diego, CA 92123, USA
| | - Joshua J A Braun
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Margaret Bray
- Alexion Pharmaceuticals Inc., New Haven, CT 06510, USA
| | - Jeanne Carroll
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA.,Department of Pediatrics, University of California San Diego, San Diego, CA 92093, USA
| | - Julie A Cakici
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Sara A Caylor
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Christina Clarke
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Mitchell P Creed
- University of Kansas School of Medicine, Kansas City, MO 66160, USA
| | - Jennifer Friedman
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA.,Department of Neurosciences, University of California San Diego, San Diego, CA 92093, USA
| | | | | | - Mary Gaughran
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | | | | | - Joseph Gleeson
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA.,Department of Neurosciences, University of California San Diego, San Diego, CA 92093, USA
| | | | | | - Raymond L Hovey
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Marie L Janes
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Kejia Lin
- Rady Children's Hospital, San Diego, CA 92123, USA
| | | | - Kyle McBride
- Rady Children's Hospital, San Diego, CA 92123, USA
| | - Patrick Mulrooney
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Shareef Nahas
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Daeheon Oh
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Albert Oriol
- Rady Children's Hospital, San Diego, CA 92123, USA
| | - Laura Puckett
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Zia Rady
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | | | - Julie Ryu
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA.,Department of Pediatrics, University of California San Diego, San Diego, CA 92093, USA
| | - Lisa Salz
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Erica Sanford
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA.,Department of Pediatrics, University of California San Diego, San Diego, CA 92093, USA
| | | | - Nathaly Sweeney
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA.,Department of Pediatrics, University of California San Diego, San Diego, CA 92093, USA
| | - Mari Tokita
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Luca Van Der Kraan
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Sarah White
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Kristen Wigby
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA.,Department of Pediatrics, University of California San Diego, San Diego, CA 92093, USA
| | | | - Terence Wong
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Meredith S Wright
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Catherine Yamada
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | | | - John Reynders
- Alexion Pharmaceuticals Inc., New Haven, CT 06510, USA
| | | | - David Dimmock
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | | | - Thomas Defay
- Alexion Pharmaceuticals Inc., New Haven, CT 06510, USA
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559
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De Luca C, Race V, Keldermans L, Bauters M, Van Esch H. Challenges in molecular diagnosis of X-linked Intellectual disability. Br Med Bull 2020; 133:36-48. [PMID: 32043524 DOI: 10.1093/bmb/ldz039] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 11/25/2019] [Accepted: 11/26/2019] [Indexed: 12/19/2022]
Abstract
BACKGROUND Intellectual disability (ID) affects 1-3% of the Western population and is heterogeneous in origin. Mutations in X-linked genes represent 5-10% of ID in males. Fragile X syndrome, due to the silencing of the FMR1 gene, is the most common form of ID, with a prevalence of around 1:5000 males. Females are usually non- or mildly affected carriers, and in a few rare cases, the only gender affected. Array comparative genome hybridization (aCGH) and next-generation sequencing (NGS) have dramatically changed the nature of human genome analysis leading to the identification of new X-linked intellectual disability syndromes and disease-causing genes. SOURCES OF DATA Original papers, reviews, guidelines and experiences of the diagnostic laboratories. AREAS OF AGREEMENT Family history and clinical examination still are essential to choose the appropriate diagnostic tests, including, a disease-specific genetic test, aCGH or FMR1 molecular analysis. If negative, NGS approaches like well-defined gene panels, whole exome, or even whole genome sequencing, are increasingly being used, improving diagnostics and leading to the identification of novel disease mechanisms. AREAS OF CONTROVERSY The main challenge in the era of NGS is filtering and interpretation of the data generated by the analysis of a single individual. In X-linked cases, assessing pathogenicity is particularly challenging, even more when the variant is found to be inherited from a healthy carrier mother or when a heterozygous X-linked mutation is found in an impaired female. GROWING POINTS At present, variant interpretation remains a challenging task, especially in X-linked disorders. We review the main difficulties and propose a comprehensive overview that might aid in variant interpretation. Establishing a genetic diagnosis facilitates counseling and allows better delineation of clinical phenotypes. AREAS TIMELY FOR DEVELOPING RESEARCH To improve variant interpretation, there is need to refine in silico predictions with specific criteria for each gene, and to develop cost-effective functional tools, which can be easily transferred to diagnostics.
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Affiliation(s)
- Chiara De Luca
- Center for Human Genetics, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Valérie Race
- Center for Human Genetics, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Liesbeth Keldermans
- Center for Human Genetics, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Marijke Bauters
- Center for Human Genetics, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Hilde Van Esch
- Center for Human Genetics, University Hospitals Leuven, 3000 Leuven, Belgium.,Laboratory for the Genetics of Cognition, Department of Human Genetics, KU Leuven, 3000 Leuven, Belgium
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560
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Li J, Lin Y, Chen L, Qin L, Tan H, Zou J, Zhang D, Nie Y, Wang G, Zhang H, Liu E, Chen X, Ru K. Identification of acquired PIGA mutations and additional variants by next-generation sequencing in paroxysmal nocturnal hemoglobinuria. Int J Lab Hematol 2020; 42:473-481. [PMID: 32359022 DOI: 10.1111/ijlh.13228] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Revised: 04/10/2020] [Accepted: 04/11/2020] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Paroxysmal Nocturnal Hemoglobinuria (PNH) is an acquired clonal disease of hematopoietic stem cells. It is caused by somatic mutation of the X-linked PIGA gene, resulting in a deficient expression of glycosylphosphatidylinositol-anchored proteins (GPI-APs). In this study, we aimed to explore the diagnostic value of next-generation sequencing (NGS) and potential molecular basis in PNH patients. METHODS Genomic DNA of 85 PNH patients was analyzed by a 114-gene NGS panel. RESULTS Mutational analysis of PIGA identified 124 mutations in 92% PNH patients, including 101 distinct mutations and 23 recurrent mutations. Among them, 102 mutations were newly reported. Most mutations were located in exon 2 of PIGA gene, and truncated mutation was the most common one. Other mutations were detected in 26 out of 85 cases, including five cases of DNMT3A variants, four cases of ASXL1 variants, and four cases of U2AF1 variants. Clonal analysis was performed in one case and outlined a linear evolution pattern in classic PNH. There was a positive correlation between number of PIGA mutations and fraction of GPI-APs deficient granulocytes. CONCLUSION The detection of PIGA mutations and additional variants by targeted NGS not only shed light on the genetic characteristics of PNH, but also provided an important reference value in the diagnosis of PNH at molecular level.
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Affiliation(s)
- Jing Li
- SINO-US Diagnostics, Tianjin, China
| | - Yani Lin
- SINO-US Diagnostics, Tianjin, China
| | | | - Li Qin
- SINO-US Diagnostics, Tianjin, China
| | - Hao Tan
- SINO-US Diagnostics, Tianjin, China
| | | | | | | | | | | | | | | | - Kun Ru
- SINO-US Diagnostics, Tianjin, China
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561
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Svidnicki MCCM, Zanetta GK, Congrains-Castillo A, Costa FF, Saad STO. Targeted next-generation sequencing identified novel mutations associated with hereditary anemias in Brazil. Ann Hematol 2020; 99:955-962. [PMID: 32266426 PMCID: PMC7241966 DOI: 10.1007/s00277-020-03986-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Accepted: 03/01/2020] [Indexed: 01/19/2023]
Abstract
Hereditary anemias are a group of heterogeneous disorders including hemolytic anemias and hyporegenerative anemias, as congenital dyserythropoietic anemia (CDA). Causative mutations occur in a wide range of genes leading to deficiencies in red cell production, structure, or function. The genetic screening of the main genes is important for timely diagnosis, since routine laboratory tests fail in a percentage of the cases, appropriate treatment decisions, and genetic counseling purposes. A conventional gene-by-gene sequencing approach is expensive and highly time-consuming, due to the genetic complexity of these diseases. To overcome this problem, we customized a targeted sequencing panel covering 35 genes previously associated to red cell disorders. We analyzed 36 patients, and potentially pathogenic variants were identified in 26 cases (72%). Twenty variants were novel. Remarkably, mutations in the SPTB gene (β-spectrin) were found in 34.6% of the patients with hereditary spherocytosis (HS), suggesting that SPTB is a major HS gene in the Southeast of Brazil. We also identified two cases with dominant HS presenting null mutations in trans with α-LELY in SPTA1 gene. This is the first comprehensive genetic analysis for hereditary anemias in the Brazilian population, contributing to a better understanding of the genetic basis and phenotypic consequences of these rare conditions in our population.
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Affiliation(s)
- M C C M Svidnicki
- Centro de Hematologia e Hemoterapia da Universidade Estadual de Campinas, (HEMOCENTRO/UNICAMP), Campinas, SP, Brazil. Rua Carlos Chagas, 480, Campinas, SP, 13083-878, Brazil.
| | - G K Zanetta
- Centro de Hematologia e Hemoterapia da Universidade Estadual de Campinas, (HEMOCENTRO/UNICAMP), Campinas, SP, Brazil. Rua Carlos Chagas, 480, Campinas, SP, 13083-878, Brazil
| | - A Congrains-Castillo
- Centro de Hematologia e Hemoterapia da Universidade Estadual de Campinas, (HEMOCENTRO/UNICAMP), Campinas, SP, Brazil. Rua Carlos Chagas, 480, Campinas, SP, 13083-878, Brazil
| | - F F Costa
- Centro de Hematologia e Hemoterapia da Universidade Estadual de Campinas, (HEMOCENTRO/UNICAMP), Campinas, SP, Brazil. Rua Carlos Chagas, 480, Campinas, SP, 13083-878, Brazil
| | - S T O Saad
- Centro de Hematologia e Hemoterapia da Universidade Estadual de Campinas, (HEMOCENTRO/UNICAMP), Campinas, SP, Brazil. Rua Carlos Chagas, 480, Campinas, SP, 13083-878, Brazil
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562
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Fang F, Xu Z, Suo Y, Wang H, Cheng S, Li H, Li W, Wang Y. Gene panel for Mendelian strokes. Stroke Vasc Neurol 2020; 5:416-421. [PMID: 32341005 PMCID: PMC7804056 DOI: 10.1136/svn-2020-000352] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 03/25/2020] [Accepted: 03/31/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Mendelian stroke causes nearly 7% of ischaemic strokes and is also an important aetiology of cryptogenic stroke. Identifying the genetic abnormalities in Mendelian strokes is important as it would facilitate therapeutic management and genetic counselling. Next-generation sequencing makes large-scale sequencing and genetic testing possible. METHODS A systematic literature search was conducted to identify causal genes of Mendelian strokes, which were used to construct a hybridization-based gene capture panel. Genetic variants for target genes were detected using Illumina HiSeq X10 and the Novaseq platform. The sensitivity and specificity were evaluated by comparing the results with Sanger sequencing. RESULTS 53 suspected patients of Mendelian strokes were analysed using the panel of 181 causal genes. According to the American College of Medical Genetics and Genomics standard, 16 likely pathogenic/variants of uncertain significance genetic variants were identified. Diagnostic testing was conducted by comparing the consistency between the results of panel and Sanger sequencing. Both the sensitivity and specificity were 100% for the panel. CONCLUSION This panel provides an economical, time-saving and labour-saving method to detect causal mutations of Mendelian strokes.
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Affiliation(s)
- Fang Fang
- Monogenic Disease Research Center for Neurological Disorders, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Zhe Xu
- China National Clinical Research Center for Neurological Diseases, Beijing, China.,Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yue Suo
- China National Clinical Research Center for Neurological Diseases, Beijing, China.,Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Hui Wang
- Monogenic Disease Research Center for Neurological Disorders, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Si Cheng
- China National Clinical Research Center for Neurological Diseases, Beijing, China.,Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Hao Li
- China National Clinical Research Center for Neurological Diseases, Beijing, China.,Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wei Li
- Monogenic Disease Research Center for Neurological Disorders, Beijing Tiantan Hospital, Capital Medical University, Beijing, China .,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yongjun Wang
- China National Clinical Research Center for Neurological Diseases, Beijing, China .,Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
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563
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Wang J, Bin Q, Cheng B, Yan L, Xiong L, Tan BH, McGrath M, Smink GM, Song C, Tong Y. Two novel deleterious variants of Angiotensin-I-converting Enzyme gene identified in a family with recurrent anhydramnios. Mol Genet Genomic Med 2020; 8:e1239. [PMID: 32329243 PMCID: PMC7284050 DOI: 10.1002/mgg3.1239] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 03/20/2020] [Indexed: 02/06/2023] Open
Abstract
Background Anhydramnios results from the poor development of the placenta or problems with intrauterine development of the kidneys or urinary tract. Complete lack of amniotic fluid indicates a severe problem with the organs of the urinary system. The genes associated with anhydramnios show very diversity and are not yet well defined. Methods Whole‐exome sequencing (WES) was used for an aborted male case around the 20th week of gestation diagnosed with anhydramnios. The resulted deleterious variants were verified by Sanger sequencing. Pathogenicity of deleterious variants was explored by in silico analysis. Results A maternally inherited deleterious frameshift variant, c.1454_1455insC, p.(S486Ffs29) in exon 9 and two paternally inherited missense variants c.1037C > G, p.(Ser346Trp) in exon 7 and c.1465A > G, p.(Asn489Asp) in exon 9 of Angiotensin‐I‐Converting Enzyme (ACE) gene were found and confirmed by Sanger sequencing. c.1454_1455insC, p.(S486Ffs29) and c.1037C > G, p.(Ser346Trp) were identified as two novel compound heterozygous deleterious variants. The pathogenicity of these deleterious variants was determined by in silico analysis and both the deleterious variants disrupt the structure of the ACE protein. Conclusion Two novel compound heterozygous variants were identified in the case with anhydramnios, which may be associated with pathogenicity of anhydramnios. Our data also revealed that the WES approach may provide helpful information for genetic counseling of the families with anhydramnios.
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Affiliation(s)
- Jingwei Wang
- Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, China
| | - Qiao Bin
- Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, China
| | - Biheng Cheng
- Department of obstetrics, Renmin Hospital of Wuhan University, Wuhan, China
| | - Li Yan
- Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, China
| | - Liang Xiong
- Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, China
| | - Bi-Hua Tan
- Pennsylvania State University College of Medicine and Hershey Medical center, Hershey, PA, USA
| | - Mary McGrath
- Pennsylvania State University College of Medicine and Hershey Medical center, Hershey, PA, USA
| | - Gayle M Smink
- Pennsylvania State University College of Medicine and Hershey Medical center, Hershey, PA, USA
| | - Chunhua Song
- Pennsylvania State University College of Medicine and Hershey Medical center, Hershey, PA, USA
| | - Yongqing Tong
- Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, China
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564
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Pleasance E, Titmuss E, Williamson L, Kwan H, Culibrk L, Zhao EY, Dixon K, Fan K, Bowlby R, Jones MR, Shen Y, Grewal JK, Ashkani J, Wee K, Grisdale CJ, Thibodeau ML, Bozoky Z, Pearson H, Majounie E, Vira T, Shenwai R, Mungall KL, Chuah E, Davies A, Warren M, Reisle C, Bonakdar M, Taylor GA, Csizmok V, Chan SK, Zong Z, Bilobram S, Muhammadzadeh A, D’Souza D, Corbett RD, MacMillan D, Carreira M, Choo C, Bleile D, Sadeghi S, Zhang W, Wong T, Cheng D, Brown SD, Holt RA, Moore RA, Mungall AJ, Zhao Y, Nelson J, Fok A, Ma Y, Lee MKC, Lavoie JM, Mendis S, Karasinska JM, Deol B, Fisic A, Schaeffer DF, Yip S, Schrader K, Regier DA, Weymann D, Chia S, Gelmon K, Tinker A, Sun S, Lim H, Renouf DJ, Laskin J, Jones SJM, Marra MA. Pan-cancer analysis of advanced patient tumors reveals interactions between therapy and genomic landscapes. ACTA ACUST UNITED AC 2020; 1:452-468. [DOI: 10.1038/s43018-020-0050-6] [Citation(s) in RCA: 99] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 03/05/2020] [Indexed: 02/08/2023]
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565
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Wu N, Zhang Z, Zhou X, Zhao H, Ming Y, Wu X, Zhang X, Yang XZ, Zhou M, Bao H, Chen W, Wu Y, Liu S, Wang H, Niu Y, Li Y, Zheng Y, Shao Y, Gao N, Yang Y, Liu Y, Li W, Liu J, Zhang N, Yang X, Xu Y, Li M, Sun Y, Su J, Zhang J, Xia W, Qiu G, Liu Y, Liu J, Wu Z. Mutational landscape and genetic signatures of cell-free DNA in tumour-induced osteomalacia. J Cell Mol Med 2020; 24:4931-4943. [PMID: 32277576 PMCID: PMC7205804 DOI: 10.1111/jcmm.14991] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2019] [Revised: 11/24/2019] [Accepted: 12/17/2019] [Indexed: 12/20/2022] Open
Abstract
Tumour‐induced osteomalacia (TIO) is a very rare paraneoplastic syndrome with bone pain, fractures and muscle weakness, which is mostly caused by phosphaturic mesenchymal tumours (PMTs). Cell‐free DNA (cfDNA) has been regarded as a non‐invasive liquid biopsy for many malignant tumours. However, it has not been studied in benign tumours, which prompted us to adopt the targeted next‐generation sequencing approach to compare cfDNAs of 4 TIO patients, four patients with bone metastasis (BM) and 10 healthy controls. The mutational landscapes of cfDNA in TIO and BM groups were similar in the spectrum of allele frequencies and mutation types. Markedly, deleterious missense mutations in FGFR1 and loss‐of‐function mutations in MED12 were found in 3/4 TIO patients but none of BM patients. The gene ontology analysis strongly supported that these mutated genes found in TIOs would play a potential role in PMTs' process. The genetic signatures and corresponding change in expression of FGFR1 and FGF23 were further validated in PMT tissues from a test cohort of another three TIO patients. In summary, we reported the first study of the mutational landscape and genetic signatures of cfDNA in TIO/PMTs.
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Affiliation(s)
- Nan Wu
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China.,Key laboratory of big data for spinal deformities, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhen Zhang
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China
| | - Xi Zhou
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Hengqiang Zhao
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.,School of Biomedical Engineering, School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Yue Ming
- PET-CT Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xue Wu
- Translational Medicine Research Institute, Geneseeq Technology Inc., Toronto, ON, Canada
| | - Xian Zhang
- Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Xin-Zhuang Yang
- Department of Central Laboratory, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Meng Zhou
- School of Biomedical Engineering, School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Hua Bao
- Translational Medicine Research Institute, Geneseeq Technology Inc., Toronto, ON, Canada
| | - Weisheng Chen
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China.,Graduate School of Peking Union Medical College, Beijing, China
| | - Yong Wu
- Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Sen Liu
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China.,Key laboratory of big data for spinal deformities, Chinese Academy of Medical Sciences, Beijing, China
| | - Huizi Wang
- Department of Central Laboratory, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Yuchen Niu
- Department of Central Laboratory, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Yalun Li
- Department of Breast Surgery, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China
| | - Yu Zheng
- Beijing Ekitech Co. Ltd., Beijing, China
| | - Yang Shao
- Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Na Gao
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Ying Yang
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Ying Liu
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Wenli Li
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Jia Liu
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Na Zhang
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Xu Yang
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Yuan Xu
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Mei Li
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Yingli Sun
- Key Laboratory of Genomic and Precision Medicine, China Gastrointestinal Cancer Research Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Jianzhong Su
- School of Biomedical Engineering, School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Jianguo Zhang
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China.,Key laboratory of big data for spinal deformities, Chinese Academy of Medical Sciences, Beijing, China
| | - Weibo Xia
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Guixing Qiu
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China.,Key laboratory of big data for spinal deformities, Chinese Academy of Medical Sciences, Beijing, China
| | - Yong Liu
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Jiaqi Liu
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China.,Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhihong Wu
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China.,Key laboratory of big data for spinal deformities, Chinese Academy of Medical Sciences, Beijing, China.,Department of Central Laboratory, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
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566
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Lega S, Pin A, Arrigo S, Cifaldi C, Girardelli M, Bianco AM, Malamisura M, Angelino G, Faraci S, Rea F, Romeo EF, Aloi M, Romano C, Barabino A, Martelossi S, Tommasini A, Di Matteo G, Cancrini C, De Angelis P, Finocchi A, Bramuzzo M. Diagnostic Approach to Monogenic Inflammatory Bowel Disease in Clinical Practice: A Ten-Year Multicentric Experience. Inflamm Bowel Dis 2020; 26:720-727. [PMID: 31375816 DOI: 10.1093/ibd/izz178] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Indexed: 12/16/2022]
Abstract
BACKGROUND AND AIMS Multiple monogenic disorders present as very early onset inflammatory bowel disease (VEO-IBD) or as IBD with severe and atypical features. Establishing a genetic diagnosis may change patients' management and prognosis. In this study, we describe the diagnostic approach to suspected monogenic IBD in a real clinical setting, discussing genetic and phenotypic findings and therapeutic implications of molecular diagnosis. METHODS Information of patients with VEO-IBD and early onset IBD with severe/atypical phenotypes (EO-IBD s/a) managed between 2008-2017 who underwent a genetic workup were collected. RESULTS Ninety-three patients were included, and 12 (13%) reached a genetic diagnosis. Candidate sequencing (CS) was performed in 47 patients (50%), and next generation sequencing (NGS) was performed in 84 patients (90%). Candidate sequencing had a good diagnostic performance only when guided by clinical features specific for known monogenic diseases, whereas NGS helped finding new causative genetic variants and would have anticipated one monogenic diagnosis (XIAP) and consequent bone marrow transplant (BMT). Patients with monogenic IBD more frequently were male (92% vs 54%; P = 0.02), had extraintestinal findings (100% vs 34%; P < 0.001), and had disease onset ≤1 month of life (25% vs 1%; P = 0.006). Genetic diagnosis impacted patient management in 11 patients (92%), 7 of whom underwent BMT. CONCLUSION A genetic diagnosis can be established in a significant proportion of suspected monogenic IBD and has an impact on patients' management. Candidate sequencing may be deployed when clinical findings orientate toward a specific diagnosis. Next generation sequencing should be preferred in patients with nonspecific phenotypes.
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Affiliation(s)
- Sara Lega
- University of Trieste, Department of Medicine, Surgery and Health Sciences, Trieste, Italy
| | - Alessia Pin
- University of Trieste, Department of Medicine, Surgery and Health Sciences, Trieste, Italy
| | - Serena Arrigo
- Pediatric Gastroenterology and Endoscopy Unit, Institute Giannina Gaslini, Genoa, Italy
| | - Cristina Cifaldi
- Department of Pediatrics, Children's Hospital Bambino Gesù, Rome, Italy
| | - Martina Girardelli
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy
| | - Anna Monica Bianco
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy
| | - Monica Malamisura
- Digestive Diseases Unit, Children's Hospital Bambino Gesù, Rome, Italy
| | - Giulia Angelino
- Digestive Diseases Unit, Children's Hospital Bambino Gesù, Rome, Italy
| | - Simona Faraci
- Digestive Diseases Unit, Children's Hospital Bambino Gesù, Rome, Italy
| | - Francesca Rea
- Digestive Diseases Unit, Children's Hospital Bambino Gesù, Rome, Italy
| | | | - Marina Aloi
- Pediatric Gastroenterology And Liver Unit, Sapienza University of Rome, Rome, Italy
| | - Claudio Romano
- Pediatric Gastroenterology and Cystic Fibrosis Unit, University of Messina, Messina, Italy
| | - Arrigo Barabino
- Pediatric Gastroenterology and Endoscopy Unit, Institute Giannina Gaslini, Genoa, Italy
| | - Stefano Martelossi
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy
| | - Alberto Tommasini
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy
| | | | - Caterina Cancrini
- Department of Pediatrics, Children's Hospital Bambino Gesù, Rome, Italy
| | - Paola De Angelis
- Digestive Diseases Unit, Children's Hospital Bambino Gesù, Rome, Italy
| | - Andrea Finocchi
- Department of Pediatrics, Children's Hospital Bambino Gesù, Rome, Italy
| | - Matteo Bramuzzo
- Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy
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567
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Shang YL, Zhu FX, Yan J, Chen L, Tang WH, Xiao S, Mo WK, Zhang ZG, He XJ, Qiao J, Cao YX, Li W. Novel DPY19L2 variants in globozoospermic patients and the overcoming this male infertility. Asian J Androl 2020; 21:183-189. [PMID: 30333325 PMCID: PMC6413555 DOI: 10.4103/aja.aja_79_18] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Globozoospermia has been reported to be a rare but severe causation of male infertility, which results from the failure of acrosome biogenesis and sperm head shaping. Variants of dpy-19-like 2 (DPY19L2) are highly related to globozoospermia, but related investigations have been mainly performed in patients from Western countries. Here, we performed a screening of DPY19L2 variants in a cohort of Chinese globozoospermic patients and found that five of nine patients carried DPY19L2 deletions and the other four patients contained novel DPY19L2 point mutations, as revealed by whole-exome sequencing. Patient 3 (P3) contained a heterozygous variant (c.2126+5G>A), P6 contained a homozygous nonsense mutation (c.1720C>T, p.Arg574*), P8 contained compound heterozygous variants (c.1182-1184delATC, p.Leu394_Ser395delinsPhe; c.368A>T, p.His123Arg), and P9 contained a heterozygous variant (c.1182-1184delATCTT, frameshift). We also reported intracytoplasmic sperm injection (ICSI) outcomes in the related patients, finding that ICSI followed by assisted oocyte activation (AOA) with calcium ionophore achieved high rates of live births. In summary, the infertility of these patients results from DPY19L2 dysfunction and can be treated by ICSI together with AOA.
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Affiliation(s)
- Yong-Liang Shang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fu-Xi Zhu
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.,Anhui Province Key Laboratory of Reproductive Health and Genetics, Anhui Medical University, Hefei 230022, China
| | - Jie Yan
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| | - Liang Chen
- Medical Center of Reproductive and Genetics, Peking University First Hospital, Beijing 100034, China
| | - Wen-Hao Tang
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| | - Sai Xiao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei-Ke Mo
- Digital China Health Technologies Co., Ltd., Beijing 100080, China
| | - Zhi-Guo Zhang
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.,Anhui Province Key Laboratory of Reproductive Health and Genetics, Anhui Medical University, Hefei 230022, China.,Anhui Provincial Engineering Technology Research Center for Biopreservation and Artificial Organs, Hefei 230022, China
| | - Xiao-Jin He
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.,Anhui Province Key Laboratory of Reproductive Health and Genetics, Anhui Medical University, Hefei 230022, China.,Anhui Provincial Engineering Technology Research Center for Biopreservation and Artificial Organs, Hefei 230022, China
| | - Jie Qiao
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| | - Yun-Xia Cao
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.,Anhui Province Key Laboratory of Reproductive Health and Genetics, Anhui Medical University, Hefei 230022, China
| | - Wei Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
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568
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Wang Q, Hu Z, Chang X, Yu M, Xie Z, Lv H, Zhang W, Xiong H, Yuan Y, Wang Z. Mutational and clinical spectrum in a cohort of Chinese patients with hereditary nemaline myopathy. Clin Genet 2020; 97:878-889. [PMID: 32222963 DOI: 10.1111/cge.13745] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 03/23/2020] [Accepted: 03/23/2020] [Indexed: 12/12/2022]
Abstract
Hereditary nemaline myopathy (NM) is one of the most common congenital myopathies with the histopathological findings of nemaline bodies. We used targeted next-generation sequencing to identify causative mutations in 48 NM patients with confirmed myopathological diagnosis, analyze the mutational spectrum and phenotypic features. Furthermore, reverse transcription polymerase chain reaction (RT-PCR) was used to confirm the pathogenic effect of one nebulin (NEB) splicing variant. The results showed that variants were found in five NM-associated genes, including NEB, actin alpha 1 (ACTA1), troponin T1, Kelch repeat and BTB domain-containing 13, and cofilin-2, in 34 (73.9%), 7 (15.2%), 3 (6.5%), 1 (2.2%), and 1 (2.2%) patients, respectively, in a total of 46/48 (95.8%) NM patients. Of the total 64 variants identified, 51 were novel variants including 26 pathogenic, 1 probably pathogenic, and 24 variant of uncertain significance (VUS). Notably, one NEB splicing mutation, c.21417+3A>G causing exon 144 splicing (NM_001164508.1), as confirmed by RT-PCR, was found in 52.9% (18 patients) of NEB variant-carrying patients. Typical congenital NM, the most common clinical subtype (60.4%), was associated with five NM genes. We concluded that hereditary NM showed a highly variable genetic spectrum. NEB was the most frequent causative gene in this Chinese cohort, followed by ACTA1. We found a hotspot splicing mutation in NEB among Chinese cohort.
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Affiliation(s)
- Qi Wang
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Zhenxian Hu
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Xingzhi Chang
- Department of Pediatrics, Peking University First Hospital, Beijing, China
| | - Meng Yu
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Zhiying Xie
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - He Lv
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Wei Zhang
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Hui Xiong
- Department of Pediatrics, Peking University First Hospital, Beijing, China
| | - Yun Yuan
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Zhaoxia Wang
- Department of Neurology, Peking University First Hospital, Beijing, China
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569
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Reevaluating the Mutation Classification in Genetic Studies of Bradycardia Using ACMG/AMP Variant Classification Framework. Int J Genomics 2020; 2020:2415850. [PMID: 32211440 PMCID: PMC7061116 DOI: 10.1155/2020/2415850] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 02/08/2020] [Indexed: 11/17/2022] Open
Abstract
PURPOSE Next-generation sequencing (NGS) has become more accessible, leading to an increasing number of genetic studies of familial bradycardia being reported. However, most of the variants lack full evaluation. The relationship between genetic factors and bradycardia should be summarized and reevaluated. METHODS We summarized genetic studies published in the PubMed database from 2008/1/1 to 2019/9/1 and used the ACMG/AMP classification framework to analyze related sequence variants. RESULTS We identified 88 articles, 99 sequence variants, and 34 genes after searching the PubMed database and classified ABCC9, ACTN2, CACNA1C, DES, HCN4, KCNQ1, KCNH2, LMNA, MECP2, LAMP2, NPPA, SCN5A, and TRPM4 as high-priority genes causing familial bradycardia. Most mutated genes have been reported as having multiple clinical manifestations. CONCLUSIONS For patients with familial CCD, 13 high-priority genes are recommended for evaluation. For genetic studies, variants should be carefully evaluated using the ACMG/AMP variant classification framework before publication.
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570
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Guillen-Guio B, Hernández-Beeftink T, Marcelino-Rodríguez I, Rodríguez-Pérez H, Lorenzo-Salazar JM, Espinilla-Peña M, Corrales A, Pino-Yanes M, Callero A, Perez-Rodriguez E, Villar J, González-Montelongo R, Flores C. Admixture mapping of asthma in southwestern Europeans with North African ancestry influences. Am J Physiol Lung Cell Mol Physiol 2020; 318:L965-L975. [PMID: 32186396 DOI: 10.1152/ajplung.00344.2019] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
The prevalence of asthma symptoms in Canary Islanders, a southwestern European population from Spain, is almost three times higher than the country average. Because the genetic risks identified so far explain <5% of asthma heritability, here we aimed to discover new asthma loci by completing the first admixture mapping study in Canary Islanders leveraging their distinctive genetic makeup, where significant northwest African influences coexist in the European genetic diversity landscape. A 2-stage study was conducted in 1,491 unrelated individuals self-declaring having a Canary Islands origin for the 4 grandparents. Local ancestry estimates were obtained for the shared positions with reference data from putative ancestral populations from Europe, North Africa, and sub-Saharan Africa. Case-control deviations in local ancestry were tested for each ancestry separately using logistic regressions adjusted for principal components, followed by fine-mapping analyses based on imputed genotypes and analyses of the likely deleterious exonic variants. The admixture mapping analysis of asthma detected that local North African ancestry in a locus spanning 365 kb of chromosome 16q23.3 was associated with asthma risk at study-wide significance [lowest P = 1.12 × 10-4; odds ratio (OR) = 2.05; 95% confidence interval (CI) = 1.41-3.00]. Fine-mapping studies identified a variant associated with asthma, and results were replicated in independent samples (rs3852738, OR = 1.34; 95% CI = 1.13-1.59, P = 7.58 × 10-4). Whole exome sequencing data from a subset of individuals revealed an enrichment of likely deleterious variants among asthma cases in 16q23.3, particularly in the phospholipase Cγ2 (PLCG2) gene (P = 3.67 × 10-4). By completing the first mapping study of asthma in admixed populations from Europe, our results revealed a new plausible asthma locus.
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Affiliation(s)
- Beatriz Guillen-Guio
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
| | - Tamara Hernández-Beeftink
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain.,Research Unit, Hospital Universitario de Gran Canaria Doctor Negrín, Las Palmas de Gran Canaria, Spain
| | - Itahisa Marcelino-Rodríguez
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
| | - Héctor Rodríguez-Pérez
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
| | - Jose M Lorenzo-Salazar
- Genomics Division, Instituto Tecnológico y de Energías Renovables, Santa Cruz de Tenerife, Spain
| | - Marta Espinilla-Peña
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
| | - Almudena Corrales
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain.,CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | - Maria Pino-Yanes
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain.,Genomics and Health Group, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, La Laguna, Santa Cruz de Tenerife, Spain.,Instituto de Tecnologías Biomédicas, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
| | - Ariel Callero
- Allergy Unit, Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife, Spain
| | - Eva Perez-Rodriguez
- Allergy Unit, Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife, Spain
| | - Jesús Villar
- Research Unit, Hospital Universitario de Gran Canaria Doctor Negrín, Las Palmas de Gran Canaria, Spain.,CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | | | - Carlos Flores
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain.,Genomics Division, Instituto Tecnológico y de Energías Renovables, Santa Cruz de Tenerife, Spain.,CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain.,Instituto de Tecnologías Biomédicas, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
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571
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Chapman G, Moreau JLM, I P E, Szot JO, Iyer KR, Shi H, Yam MX, O’Reilly VC, Enriquez A, Greasby JA, Alankarage D, Martin EMMA, Hanna BC, Edwards M, Monger S, Blue GM, Winlaw DS, Ritchie HE, Grieve SM, Giannoulatou E, Sparrow DB, Dunwoodie SL. Functional genomics and gene-environment interaction highlight the complexity of congenital heart disease caused by Notch pathway variants. Hum Mol Genet 2020; 29:566-579. [PMID: 31813956 PMCID: PMC7068028 DOI: 10.1093/hmg/ddz270] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 10/05/2019] [Accepted: 11/04/2019] [Indexed: 02/06/2023] Open
Abstract
Congenital heart disease (CHD) is the most common birth defect and brings with it significant mortality and morbidity. The application of exome and genome sequencing has greatly improved the rate of genetic diagnosis for CHD but the cause in the majority of cases remains uncertain. It is clear that genetics, as well as environmental influences, play roles in the aetiology of CHD. Here we address both these aspects of causation with respect to the Notch signalling pathway. In our CHD cohort, variants in core Notch pathway genes account for 20% of those that cause disease, a rate that did not increase with the inclusion of genes of the broader Notch pathway and its regulators. This is reinforced by case-control burden analysis where variants in Notch pathway genes are enriched in CHD patients. This enrichment is due to variation in NOTCH1. Functional analysis of some novel missense NOTCH1 and DLL4 variants in cultured cells demonstrate reduced signalling activity, allowing variant reclassification. Although loss-of-function variants in DLL4 are known to cause Adams-Oliver syndrome, this is the first report of a hypomorphic DLL4 allele as a cause of isolated CHD. Finally, we demonstrate a gene-environment interaction in mouse embryos between Notch1 heterozygosity and low oxygen- or anti-arrhythmic drug-induced gestational hypoxia, resulting in an increased incidence of heart defects. This implies that exposure to environmental insults such as hypoxia could explain variable expressivity and penetrance of observed CHD in families carrying Notch pathway variants.
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Affiliation(s)
- Gavin Chapman
- Victor Chang Cardiac Research Institute, Sydney, NSW, 2010, Australia
- Faculty of Medicine, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Julie L M Moreau
- Victor Chang Cardiac Research Institute, Sydney, NSW, 2010, Australia
| | - Eddie I P
- Victor Chang Cardiac Research Institute, Sydney, NSW, 2010, Australia
| | - Justin O Szot
- Victor Chang Cardiac Research Institute, Sydney, NSW, 2010, Australia
| | - Kavitha R Iyer
- Victor Chang Cardiac Research Institute, Sydney, NSW, 2010, Australia
| | - Hongjun Shi
- Victor Chang Cardiac Research Institute, Sydney, NSW, 2010, Australia
- Institute for Basic Medical Sciences, Westlake University, Hangzhou, China
| | - Michelle X Yam
- Victor Chang Cardiac Research Institute, Sydney, NSW, 2010, Australia
| | | | - Annabelle Enriquez
- Victor Chang Cardiac Research Institute, Sydney, NSW, 2010, Australia
- Faculty of Medicine, University of New South Wales, Sydney, NSW, 2052, Australia
- Department of Clinical Genetics, The Children’s Hospital at Westmead, Sydney, NSW, 2145, Australia
- Discipline of Genomic Medicine, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, 2006, Australia
| | - Joelene A Greasby
- Victor Chang Cardiac Research Institute, Sydney, NSW, 2010, Australia
| | | | - Ella M M A Martin
- Victor Chang Cardiac Research Institute, Sydney, NSW, 2010, Australia
| | | | - Matthew Edwards
- Hunter Genetics, John Hunter Hospital, Newcastle, NSW, 2298, Australia
- Department of Paediatrics, School of Medicine, Western Sydney University, Sydney, NSW, 2560, Australia
| | - Steven Monger
- Victor Chang Cardiac Research Institute, Sydney, NSW, 2010, Australia
| | - Gillian M Blue
- Victor Chang Cardiac Research Institute, Sydney, NSW, 2010, Australia
- Kids Heart Research, Heart Centre for Children, The Children’s Hospital at Westmead, Sydney, NSW, 2145, Australia
- Sydney Medical School, University of Sydney, Sydney, NSW, 2006, Australia
| | - David S Winlaw
- Victor Chang Cardiac Research Institute, Sydney, NSW, 2010, Australia
- Kids Heart Research, Heart Centre for Children, The Children’s Hospital at Westmead, Sydney, NSW, 2145, Australia
- Sydney Medical School, University of Sydney, Sydney, NSW, 2006, Australia
| | - Helen E Ritchie
- School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, 2006, Australia
| | - Stuart M Grieve
- Sydney Translational Imaging Laboratory, Sydney Medical School, University of Sydney, Sydney, NSW, 2006, Australia
- Department of Radiology, Royal Prince Alfred Hospital, Sydney, NSW, 2050, Australia
| | - Eleni Giannoulatou
- Victor Chang Cardiac Research Institute, Sydney, NSW, 2010, Australia
- Faculty of Science, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Duncan B Sparrow
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford OX1 3PT, United Kingdom
| | - Sally L Dunwoodie
- Victor Chang Cardiac Research Institute, Sydney, NSW, 2010, Australia
- Faculty of Medicine, University of New South Wales, Sydney, NSW, 2052, Australia
- Faculty of Science, University of New South Wales, Sydney, NSW, 2052, Australia
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572
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Squeo GM, Augello B, Massa V, Milani D, Colombo EA, Mazza T, Castellana S, Piccione M, Maitz S, Petracca A, Prontera P, Accadia M, Della Monica M, Di Giacomo MC, Melis D, Selicorni A, Giglio S, Fischetto R, Di Fede E, Malerba N, Russo M, Castori M, Gervasini C, Merla G. Customised next-generation sequencing multigene panel to screen a large cohort of individuals with chromatin-related disorder. J Med Genet 2020; 57:760-768. [PMID: 32170002 DOI: 10.1136/jmedgenet-2019-106724] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 02/11/2020] [Accepted: 02/19/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND The regulation of the chromatin state by epigenetic mechanisms plays a central role in gene expression, cell function, and maintenance of cell identity. Hereditary disorders of chromatin regulation are a group of conditions caused by abnormalities of the various components of the epigenetic machinery, namely writers, erasers, readers, and chromatin remodelers. Although neurological dysfunction is almost ubiquitous in these disorders, the constellation of additional features characterizing many of these genes and the emerging clinical overlap among them indicate the existence of a community of syndromes. The introduction of high-throughput next generation sequencing (NGS) methods for testing multiple genes simultaneously is a logical step for the implementation of diagnostics of these disorders. METHODS We screened a heterogeneous cohort of 263 index patients by an NGS-targeted panel, containing 68 genes associated with more than 40 OMIM entries affecting chromatin function. RESULTS This strategy allowed us to identify clinically relevant variants in 87 patients (32%), including 30 for which an alternative clinical diagnosis was proposed after sequencing analysis and clinical re-evaluation. CONCLUSION Our findings indicate that this approach is effective not only in disorders with locus heterogeneity, but also in order to anticipate unexpected misdiagnoses due to clinical overlap among cognate disorders. Finally, this work highlights the utility of a prompt diagnosis in such a clinically and genetically heterogeneous group of disorders that we propose to group under the umbrella term of chromatinopathies.
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Affiliation(s)
- Gabriella Maria Squeo
- Division of Medical Genetics, IRCCS Ospedale Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Bartolomeo Augello
- Division of Medical Genetics, IRCCS Ospedale Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Valentina Massa
- Dipartimento di Scienze della Salute, Universita degli Studi di Milano Dipartimento di Scienze della Salute, Milano, Italy
| | - Donatella Milani
- UOSD Pediatria ad alta intensità di cura, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Elisa Adele Colombo
- Dipartimento di Scienze della Salute, Universita degli Studi di Milano Dipartimento di Scienze della Salute, Milano, Italy
| | - Tommaso Mazza
- Bioinformatics Unit, IRCCS Ospedale Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Stefano Castellana
- Bioinformatics Unit, IRCCS Ospedale Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Maria Piccione
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy
| | - Silvia Maitz
- Clinical Pediatric Genetics Unit, Pediatrics Clinics, MBBM Foundation, Hospital San Gerardo, Monza, Italy
| | - Antonio Petracca
- Division of Medical Genetics, IRCCS Ospedale Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Paolo Prontera
- Medical Genetics Unit, University of Perugia Hospital SM della Misericordia, Perugia, Italy
| | - Maria Accadia
- Medical Genetics Service, Hospital "Cardinale G. Panico", Tricase, Italy
| | - Matteo Della Monica
- Medical Genetics Unit, Cardarelli Hospital, Largo A Cardarelli, Napoli, Italy
| | | | - Daniela Melis
- Department of Translational Medical Science, Section of Pediatrics, University of Naples Federico II, Napoli, Italy
| | - Angelo Selicorni
- Pediatric Department, ASST Lariana, Sant'Anna General Hospital, Como, Italy
| | - Sabrina Giglio
- Department of Biomedical, Experimental and Clinical Sciences 'Mario Serio', Medical Genetics Unit, University Hospital Meyer, Firenze, Italy
| | - Rita Fischetto
- Metabolic Diseases, Clinical Genetics and Diabetology Unit, Paediatric Hospital Giovanni XXIII, Bari, Italy
| | - Elisabetta Di Fede
- Dipartimento di Scienze della Salute, Universita degli Studi di Milano Dipartimento di Scienze della Salute, Milano, Italy
| | - Natascia Malerba
- Division of Medical Genetics, IRCCS Ospedale Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Matteo Russo
- Division of Medical Genetics, IRCCS Ospedale Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Marco Castori
- Division of Medical Genetics, IRCCS Ospedale Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Cristina Gervasini
- Dipartimento di Scienze della Salute, Universita degli Studi di Milano Dipartimento di Scienze della Salute, Milano, Italy
| | - Giuseppe Merla
- Division of Medical Genetics, IRCCS Ospedale Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
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573
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Chen Y, Sun T, Niu Y, Wang D, Xiong Z, Li C, Liu K, Qiu Y, Sun Y, Gong J, Wang T, Wang S, Xu H, Liu J. Correlations Among Genotype and Outcome in Chinese Male Patients With Congenital Hypogonadotropic Hypogonadism Under HCG Treatment. J Sex Med 2020; 17:645-657. [PMID: 32171629 DOI: 10.1016/j.jsxm.2020.01.011] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 01/08/2020] [Accepted: 01/13/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Congenital hypogonadotropic hypogonadism (CHH) is a genetically heterogeneous disorder characterized by absent or incomplete puberty and infertility, and heterogeneous responses are often observed during treatment. AIM To investigate the role of CHH-associated variants in patients with CHH with poor responses to human chorionic gonadotropin (hCG). METHODS This retrospective study investigated 110 Chinese male patients with CHH undergoing genetic analysis and hCG treatment. CHH-associated rare sequence variants (RSVs) were identified by using a tailored next-generation sequencing panel and were interpreted in accordance with the American College of Medical Genetics and Genomics criteria. Clinical characteristics were recorded, and Kyoto Encyclopedia of Genes and Genomes analysis was conducted to assess pathways enriched in protein networks implicated in poor responses. OUTCOMES The outcomes include testicular volume, serum hormonal profiles, parameters of semen analysis, pathogenicity classification, and pathway enrichment. RESULTS Among the 110 patients, 94.55% achieved normal serum testosterone and 54.55% achieved seminal spermatozoa appearance (SSA). PLXNB1, ROBO3, LHB, NRP2, CHD7, and PLXNA1 RSVs were identified in patients who had an abnormal serum testosterone level during treatment. In spermatogenesis, the number of CHH-associated RSVs was not significantly strongly associated with delayed SSA. After pathogenicity classification, pathogenic/likely pathogenic (P/LP) RSVs were identified in 30% (33/110) of patients. Patients with P/LP RSVs showed delayed SSA compared with noncarriers, and P/LP PROKR2 RSVs showed the strongest association (48, 95% CI: 34.1-61.9 months, P = .043). Enriched pathways implicated in delayed SSA included neuroactive ligand-receptor interaction; Rap1, MAPK, PI3K-Akt signaling; and regulation of actin cytoskeleton. CLINICAL IMPLICATIONS Male patients with CHH harboring P/LP PROKR2 RSVs should be aware of a high probability of poor responses to hCG; If these patients desire fertility, it might be better to recommend hCG/human menopausal gonadotropin, hCG/recombinant follicle-stimulating hormone, or pulsatile GnRH administration before treatments start or as early as possible. STRENGTHS & LIMITATIONS Strengths are the standardized regimen and extensive follow-up (median time of 40 months). However, included patients in the study voluntarily chose hCG treatment because of the burden of drug cost and/or little fertility desire. Therefore, human menopausal gonadotropin or follicle-stimulating hormone was not added to this cohort. Our observed correlations should be further verified in patients with CHH undergoing other treatments. CONCLUSION Among all P/LP RSVs, P/LP PROKR2 RSVs might correlate with poor responses in CHH under hCG treatment; our study supports the pathogenicity assessment of American College of Medical Genetics and Genomics criteria in genetic counseling, to improve management of patients with CHH. Chen Y, Sun T, Niu Y, et al. Correlations AmongGenotype and Outcome in Chinese Male Patients WithCongenital Hypogonadotropic Hypogonadism Under HCG Treatment. J Sex Med 2020;17:645-657.
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Affiliation(s)
- Yinwei Chen
- Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Department of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Taotao Sun
- Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Department of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yonghua Niu
- Department of Pediatric Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Daoqi Wang
- Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Department of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zhiyong Xiong
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chuanzhou Li
- Department of Medical Genetics, School of Basic Medicine and Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Kang Liu
- Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Department of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Youlan Qiu
- Department of Pathology and Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and technology, Wuhan, Hubei, China
| | - Yi Sun
- Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Department of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jianan Gong
- Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Department of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Tao Wang
- Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Department of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shaogang Wang
- Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Department of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hao Xu
- Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Department of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - Jihong Liu
- Institute of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Department of Urology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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574
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Liu B, Zhu L, Yuan P, Marsboom G, Hong Z, Liu J, Zhang P, Hu Q. Comprehensive identification of signaling pathways for idiopathic pulmonary arterial hypertension. Am J Physiol Cell Physiol 2020; 318:C913-C930. [PMID: 32159364 DOI: 10.1152/ajpcell.00382.2019] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Whole exome sequencing (WES) was used in the research of familial pulmonary arterial hypertension (FPAH). CAV1 and KCNK3 were found as two novel candidate genes of FPAH. However, few pathogenic genes were identified in idiopathic pulmonary arterial hypertension (IPAH). We conducted WES in 20 unrelated IPAH patients who did not carry the known PAH-pathogenic variants among BMPR2, CAV1, KCNK3, SMAD9, ALK1, and ENG. We found a total of 4,950 variants in 3,534 genes, including 4,444 single-nucleotide polymorphisms and 506 insertions/deletions (InDels). Through the comprehensive and multilevel analysis, we disclosed several novel signaling cascades significantly connected to IPAH, including variants related to cadherin signaling pathway, dilated cardiomyopathy, glucose metabolism, immune response, mucin-type O-glycosylation, phospholipase C (PLC)-activating G protein-coupled receptor (GPCR) signaling pathway, vascular contraction and generation, and voltage-dependent Ca2+ channels. We also conducted validation studies in five mutant genes related to PLC-activating GPCR signaling pathway potentially involved in intracellular calcium regulation through Sanger sequencing for mutation accuracy, qRT-PCR for mRNA stability, immunofluorescence for subcellular localization, Western blotting for protein level, Fura-2 imaging for intracellular calcium, and proliferation analysis for cell function. The validation experiments showed that those variants in CCR5 and C3AR1 significantly increased the rise of intracellular calcium and the variant in CCR5 profoundly enhanced proliferative capacity of human pulmonary artery smooth muscle cells. Thus, our study suggests that multiple genetically affected signaling pathways take effect together to cause the formation of IPAH and the development of right heart failure and may further provide new therapy targets or putative clues for the present treatments such as limited therapeutic effectiveness of Ca2+ channel blockers.
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Affiliation(s)
- Bingxun Liu
- Department of Pathophysiology, School of Basic Medicine, and Key Laboratory of Pulmonary Diseases of Ministry of Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liping Zhu
- Department of Pathophysiology, School of Basic Medicine, and Key Laboratory of Pulmonary Diseases of Ministry of Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ping Yuan
- Department of Cardiopulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Glenn Marsboom
- Department of Pharmacology, University of Illinois College of Medicine, Chicago, Illinois
| | - Zhigang Hong
- Department of Pharmacology, University of Illinois College of Medicine, Chicago, Illinois
| | - Jinming Liu
- Department of Cardiopulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Peng Zhang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Qinghua Hu
- Department of Pathophysiology, School of Basic Medicine, and Key Laboratory of Pulmonary Diseases of Ministry of Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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575
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Gibson G, Berger K. Dietary modification, penetrance, and the origins of congenital malformation. Proc Natl Acad Sci U S A 2020; 117:5097-5099. [PMID: 32071229 PMCID: PMC7071905 DOI: 10.1073/pnas.2000944117] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Affiliation(s)
- Greg Gibson
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332
| | - Kiera Berger
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332
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576
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Phan ANL, Pham TTT, Huynh N, Nguyen TM, Cao CTT, Nguyen DT, Le DT, Bui C. Novel compound heterozygous stop-gain mutations of LRBA in a Vietnamese patient with Common Variable Immune Deficiency. Mol Genet Genomic Med 2020; 8:e1216. [PMID: 32154999 PMCID: PMC7216813 DOI: 10.1002/mgg3.1216] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Revised: 02/17/2020] [Accepted: 02/24/2020] [Indexed: 12/11/2022] Open
Abstract
Background Lipopolysaccharide‐responsive and beige‐like anchor (LRBA) deficiency is a rare autosomal recessive common variable immunodeficiency (CVID), affecting 1:25,000–1:50,000 people worldwide. Biallelic mutations in the gene LRBA have been implicated in affected individuals. Methods We report a 16‐year‐old Vietnamese, male patient with recurrent CVID symptoms including chronic diarrhea, interstitial pneumonia, cutaneous granulomatous lesions, hepatosplenomegaly, and finger clubbing. Immunological analyses and whole exome sequencing (WES) were performed to investigate phenotypic and genotypic features. Results Immunological analyses revealed hypogammaglobulinemia and low ratios of CD4+/CD8+ T cells. Two novel compound heterozygous stop‐gain mutation in LRBA were identified: c.1933C > T (p.R645X) and c.949C > T (p.R317X). Sanger sequencing confirmed the segregation of these variants from the intact parents. The abolished LRBA protein expression was shown by immunoblot analysis. Subsequent treatment potentially saves the child from the same immune thrombocytopenia which led to his brother's untimely death; likely caused by the same LRBA mutations. Conclusion This first report of LRBA deficiency in Vietnam expands our knowledge of the diverse phenotypes and genotypes driving CVID. Finally, the utilization of WES shows great promise as an effective diagnostic for CVID in our setting.
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Affiliation(s)
| | - Thuy T. T. Pham
- Functional Genomic UnitDNA Medical TechnologyHo Chi Minh CityVietnam
| | - Nghia Huynh
- Department of HematologyHo Chi Minh City University of Medicine and PharmacyHo Chi Minh CityVietnam
| | | | | | | | - Duc T. Le
- Functional Genomic UnitDNA Medical TechnologyHo Chi Minh CityVietnam
| | - Chi‐Bao Bui
- Functional Genomic UnitDNA Medical TechnologyHo Chi Minh CityVietnam
- Biomedical Research CenterSchool of Medicine, Vietnam National University HCMCHo Chi Minh CityVietnam
- Molecular GeneticsCity Children’s HospitalHo Chi Minh CityVietnam
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577
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Caforio ALP, Re F, Avella A, Marcolongo R, Baratta P, Seguso M, Gallo N, Plebani M, Izquierdo-Bajo A, Cheng CY, Syrris P, Elliott PM, d'Amati G, Thiene G, Basso C, Gregori D, Iliceto S, Zachara E. Evidence From Family Studies for Autoimmunity in Arrhythmogenic Right Ventricular Cardiomyopathy: Associations of Circulating Anti-Heart and Anti-Intercalated Disk Autoantibodies With Disease Severity and Family History. Circulation 2020; 141:1238-1248. [PMID: 32114801 DOI: 10.1161/circulationaha.119.043931] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Serum anti-heart autoantibodies (AHAs) and anti-intercalated disk autoantibodies (AIDAs) are autoimmune markers in myocarditis. Myocarditis has been reported in arrhythmogenic right ventricular cardiomyopathy (ARVC). To provide evidence for autoimmunity, we searched for AHAs and AIDAs in ARVC. METHODS We studied: 42 ARVC probands, 23 male, aged 42, interquartile range 33-49, 20 from familial and 22 nonfamilial pedigrees; 37 clinically affected relatives (ARs), 24 male aged 35, interquartile range 18-46; and 96 healthy relatives, 49 male, aged 27, interquartile range 17-45. Serum AHAs and AIDAs were tested by indirect immunofluorescence on human myocardium and skeletal muscle in 171 of the 175 ARVC individuals and in controls with noninflammatory cardiac disease (n=160), ischemic heart failure (n=141), and healthy blood donors (n=270). Screening of 5 desmosomal genes was performed in probands; when a sequence variant was identified, cascade family screening followed, blind to immunologic results. RESULTS AHA frequency was higher (36.8%) in probands, ARs (37.8%), and healthy relatives (25%) than in noninflammatory cardiac disease (1%), ischemic heart failure (1%), or healthy blood donors (2.5%; P=0.0001). AIDA frequency was higher in probands (8%, P=0.006), in ARs (21.6%, P=0.00001), and in healthy relatives (14.6%, P=0.00001) than in noninflammatory cardiac disease (3.75%), ischemic heart failure (2%), or healthy blood donors (0.3%). AHA-positive status was associated with higher frequency of palpitation (P=0.004), implantable cardioverter defibrillator implantation (P=0.021), lower left ventricular ejection fraction (P=0.004), AIDA-positive status with both lower right ventricular and left ventricular ejection fractions (P=0.027 and P=0.027, respectively). AHA- and/or AIDA-positive status in the proband and at least one of the respective relatives was more common in familial (17/20, 85%) than in sporadic (10/22, 45%) pedigrees (P=0.007). CONCLUSIONS The presence of AHAs and AIDAs provides evidence of autoimmunity in the majority of familial and in almost half of sporadic ARVC. In probands and in ARs, these antibodies were associated with features of disease severity. Longitudinal studies are needed to clarify whether they may predict ARVC development in healthy relatives or if they be a result of manifest ARVC.
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Affiliation(s)
- Alida L P Caforio
- Division of Cardiology, Department of Cardiac, Thoracic, Vascular Sciences and Public Health (A.L.P.C, A.I.-B., C.-Y.C., S.I.), University of Padova, Italy
| | - Federica Re
- I Cardiology Division, San Camillo Hospital, Rome, Italy (F.R., A.A., P.B., E.Z.)
| | - Andrea Avella
- I Cardiology Division, San Camillo Hospital, Rome, Italy (F.R., A.A., P.B., E.Z.)
| | - Renzo Marcolongo
- Department of Medicine, Hematology and Clinical Immunology (R.M.), University of Padova, Italy
| | - Pasquale Baratta
- I Cardiology Division, San Camillo Hospital, Rome, Italy (F.R., A.A., P.B., E.Z.)
| | - Mara Seguso
- Department of Laboratory Medicine (M.S., N.G., M.P.), University of Padova, Italy
| | - Nicoletta Gallo
- Department of Laboratory Medicine (M.S., N.G., M.P.), University of Padova, Italy
| | - Mario Plebani
- Department of Laboratory Medicine (M.S., N.G., M.P.), University of Padova, Italy
| | - Alvaro Izquierdo-Bajo
- Division of Cardiology, Department of Cardiac, Thoracic, Vascular Sciences and Public Health (A.L.P.C, A.I.-B., C.-Y.C., S.I.), University of Padova, Italy
| | - Chun-Yan Cheng
- Division of Cardiology, Department of Cardiac, Thoracic, Vascular Sciences and Public Health (A.L.P.C, A.I.-B., C.-Y.C., S.I.), University of Padova, Italy
| | - Petros Syrris
- University College London and Inherited Cardiac Diseases Unit, Barts Heart Centre, St Bartholomew's Hospital, UK (P.S., P.M.E.)
| | - Perry M Elliott
- University College London and Inherited Cardiac Diseases Unit, Barts Heart Centre, St Bartholomew's Hospital, UK (P.S., P.M.E.)
| | - Giulia d'Amati
- Department of Radiological, Oncological, and Anatomo-pathological Sciences, Sapienza University of Rome, Italy (G.d'A.)
| | - Gaetano Thiene
- Cardiovascular Pathology Unit (G.T., C.B.), University of Padova, Italy
| | - Cristina Basso
- Cardiovascular Pathology Unit (G.T., C.B.), University of Padova, Italy
| | - Dario Gregori
- Statistics, Department of Cardiac, Thoracic, Vascular Sciences and Public Health (D.G.), University of Padova, Italy
| | - Sabino Iliceto
- Division of Cardiology, Department of Cardiac, Thoracic, Vascular Sciences and Public Health (A.L.P.C, A.I.-B., C.-Y.C., S.I.), University of Padova, Italy
| | - Elisabetta Zachara
- I Cardiology Division, San Camillo Hospital, Rome, Italy (F.R., A.A., P.B., E.Z.)
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578
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International Consensus on the Use of Genetics in the Management of Hereditary Angioedema. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY-IN PRACTICE 2020; 8:901-911. [DOI: 10.1016/j.jaip.2019.10.004] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 09/17/2019] [Accepted: 10/13/2019] [Indexed: 12/20/2022]
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579
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Németh E, Lovrics A, Gervai JZ, Seki M, Rospo G, Bardelli A, Szüts D. Two main mutational processes operate in the absence of DNA mismatch repair. DNA Repair (Amst) 2020; 89:102827. [PMID: 32126497 DOI: 10.1016/j.dnarep.2020.102827] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
The analysis of tumour genome sequences has demonstrated high rates of base substitution mutagenesis upon the inactivation of DNA mismatch repair (MMR), and the resulting somatic mutations in MMR deficient tumours appear to significantly enhance the response to immune therapy. A handful of different algorithmically derived base substitution mutation signatures have been attributed to MMR deficiency in tumour somatic mutation datasets. In contrast, mutation data obtained from whole genome sequences of isogenic wild type and MMR deficient cell lines in this study, as well as from published sources, show a more uniform experimental mutation spectrum of MMR deficiency. In order to resolve this discrepancy, we reanalysed mutation data from MMR deficient tumour whole exome and whole genome sequences. We derived two base substitution signatures using non-negative matrix factorisation, which together adequately describe mutagenesis in all tumour and cell line samples. The two new signatures broadly resemble COSMIC signatures 6 and 20, but perform better than existing COSMIC signatures at identifying MMR deficient tumours in mutation signature deconstruction. We show that the contribution of the two identified signatures, one of which is dominated by C to T mutations at CpG sites, is biased by the different sequence composition of the exome and the whole genome. We further show that the identity of the inactivated MMR gene, the tissue type, the mutational burden or the patient's age does not influence the mutation spectrum, but that a tendency for a greater contribution by the CpG mutational process is observed in tumours as compared to cultured cells. Our analysis suggest that two separable mutational processes operate in the genomes of MMR deficient cells.
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Affiliation(s)
- Eszter Németh
- Institute of Enzymology, Research Centre for Natural Sciences, 1117 Budapest, Hungary
| | - Anna Lovrics
- Institute of Enzymology, Research Centre for Natural Sciences, 1117 Budapest, Hungary
| | - Judit Z Gervai
- Institute of Enzymology, Research Centre for Natural Sciences, 1117 Budapest, Hungary
| | - Masayuki Seki
- Department of Biochemistry, Tohoku Medical & Pharmaceutical University, Miyagi 981-8558, Japan
| | - Giuseppe Rospo
- Candiolo Cancer Institute, FPO-IRCCS, 10060, Candiolo TO, Italy; Department of Oncology, University of Turin, 10060, Candiolo TO, Italy
| | - Alberto Bardelli
- Candiolo Cancer Institute, FPO-IRCCS, 10060, Candiolo TO, Italy; Department of Oncology, University of Turin, 10060, Candiolo TO, Italy
| | - Dávid Szüts
- Institute of Enzymology, Research Centre for Natural Sciences, 1117 Budapest, Hungary.
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580
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Sztupinszki Z, Diossy M, Krzystanek M, Borcsok J, Pomerantz MM, Tisza V, Spisak S, Rusz O, Csabai I, Freedman ML, Szallasi Z. Detection of Molecular Signatures of Homologous Recombination Deficiency in Prostate Cancer with or without BRCA1/2 Mutations. Clin Cancer Res 2020; 26:2673-2680. [PMID: 32071115 DOI: 10.1158/1078-0432.ccr-19-2135] [Citation(s) in RCA: 68] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 11/04/2019] [Accepted: 02/14/2020] [Indexed: 12/30/2022]
Abstract
PURPOSE Prostate cancers with mutations in genes involved in homologous recombination (HR), most commonly BRCA2, respond favorably to PARP inhibition and platinum-based chemotherapy. We investigated whether other prostate tumors that do not harbor deleterious mutations in these particular genes can similarly be deficient in HR, likely rendering those sensitive to HR-directed therapies. EXPERIMENTAL DESIGN Homologous recombination deficiency (HRD) levels can be estimated using various mutational signatures derived from next-generation sequencing data. We used this approach on whole-genome sequencing (WGS; n = 311) and whole-exome sequencing (WES) data (n = 498) of both primary and metastatic prostate adenocarcinomas to determine whether prostate cancer cases display clear signs of HRD in somatic tumor biopsies. RESULTS Known BRCA-deficient samples showed all previously described HRD-associated mutational signatures in the WGS data. HRD-associated mutational signatures were also detected in a subset of patients who did not harbor germline or somatic mutations in BRCA1/2 or other HR-related genes. Similar results, albeit with lower sensitivity and accuracy, were also obtained from WES data. CONCLUSIONS These findings may expand the number of cases likely to respond to PARP inhibitor treatment. On the basis of the HR-associated mutational signatures, 5% to 8% of localized prostate cancer cases may be good candidates for PARP-inhibitor treatment (including those with BRCA1/2 mutations).
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Affiliation(s)
| | - Miklos Diossy
- Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Bio and Health Informatics, Technical University of Denmark, Kemitorvet, Lyngby, Denmark
| | | | - Judit Borcsok
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Mark M Pomerantz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Viktoria Tisza
- Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts
| | - Sandor Spisak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Orsolya Rusz
- 2nd Department of Pathology, SE NAP, Brain Metastasis Research Group, Semmelweis University, Budapest, Hungary
| | - István Csabai
- Department of Physics of Complex Systems, Eötvös Loránd University, Budapest, Hungary
| | - Matthew L Freedman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Zoltan Szallasi
- Danish Cancer Society Research Center, Copenhagen, Denmark. .,Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts.,2nd Department of Pathology, SE NAP, Brain Metastasis Research Group, Semmelweis University, Budapest, Hungary
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581
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Abe J, Tanuma N, Nomura M, Ito S, Kasugai I, Sato I, Tamai K, Mochizuki M, Yamaguchi K, Shima H, Okada Y, Yasuda J. Novel activating KRAS mutation candidates in lung adenocarcinoma. Biochem Biophys Res Commun 2020; 522:690-696. [DOI: 10.1016/j.bbrc.2019.11.151] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 11/22/2019] [Indexed: 12/20/2022]
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582
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Najafi A, Caspar SM, Meienberg J, Rohrbach M, Steinmann B, Matyas G. Variant filtering, digenic variants, and other challenges in clinical sequencing: a lesson from fibrillinopathies. Clin Genet 2020; 97:235-245. [PMID: 31506931 PMCID: PMC7004123 DOI: 10.1111/cge.13640] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 09/04/2019] [Accepted: 09/07/2019] [Indexed: 12/23/2022]
Abstract
Genome-scale high-throughput sequencing enables the detection of unprecedented numbers of sequence variants. Variant filtering and interpretation are facilitated by mutation databases, in silico tools, and population-based reference datasets such as ExAC/gnomAD, while variants are classified using the ACMG/AMP guidelines. These methods, however, pose clinically relevant challenges. We queried the gnomAD dataset for (likely) pathogenic variants in genes causing autosomal-dominant disorders. Furthermore, focusing on the fibrillinopathies Marfan syndrome (MFS) and congenital contractural arachnodactyly (CCA), we screened 500 genomes of our patients for co-occurring variants in FBN1 and FBN2. In gnomAD, we detected 2653 (likely) pathogenic variants in 253 genes associated with autosomal-dominant disorders, enabling the estimation of variant-filtering thresholds and disease predisposition/prevalence rates. In our database, we discovered two families with hitherto unreported co-occurrence of FBN1/FBN2 variants causing phenotypes with mixed or modified MFS/CCA clinical features. We show that (likely) pathogenic gnomAD variants may be more frequent than expected and are challenging to classify according to the ACMG/AMP guidelines as well as that fibrillinopathies are likely underdiagnosed and may co-occur. Consequently, selection of appropriate frequency cutoffs, recognition of digenic variants, and variant classification represent considerable challenges in variant interpretation. Neglecting these challenges may lead to incomplete or missed diagnoses.
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Affiliation(s)
- Arash Najafi
- Center for Cardiovascular Genetics and Gene DiagnosticsFoundation for People with Rare DiseasesSchlieren‐ZurichSwitzerland
- Cantonal Hospital WinterthurInstitute of Radiology and Nuclear MedicineWinterthurSwitzerland
| | - Sylvan M. Caspar
- Center for Cardiovascular Genetics and Gene DiagnosticsFoundation for People with Rare DiseasesSchlieren‐ZurichSwitzerland
| | - Janine Meienberg
- Center for Cardiovascular Genetics and Gene DiagnosticsFoundation for People with Rare DiseasesSchlieren‐ZurichSwitzerland
| | - Marianne Rohrbach
- Division of Metabolism and Children's Research CenterUniversity Children's Hospital Zurich Eleonore FoundationZurichSwitzerland
| | - Beat Steinmann
- Division of Metabolism and Children's Research CenterUniversity Children's Hospital Zurich Eleonore FoundationZurichSwitzerland
| | - Gabor Matyas
- Center for Cardiovascular Genetics and Gene DiagnosticsFoundation for People with Rare DiseasesSchlieren‐ZurichSwitzerland
- Zurich Center for Integrative Human PhysiologyUniversity of ZurichZurichSwitzerland
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583
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Hengel H, Bosso-Lefèvre C, Grady G, Szenker-Ravi E, Li H, Pierce S, Lebigot É, Tan TT, Eio MY, Narayanan G, Utami KH, Yau M, Handal N, Deigendesch W, Keimer R, Marzouqa HM, Gunay-Aygun M, Muriello MJ, Verhelst H, Weckhuysen S, Mahida S, Naidu S, Thomas TG, Lim JY, Tan ES, Haye D, Willemsen MAAP, Oegema R, Mitchell WG, Pierson TM, Andrews MV, Willing MC, Rodan LH, Barakat TS, van Slegtenhorst M, Gavrilova RH, Martinelli D, Gilboa T, Tamim AM, Hashem MO, AlSayed MD, Abdulrahim MM, Al-Owain M, Awaji A, Mahmoud AAH, Faqeih EA, Asmari AA, Algain SM, Jad LA, Aldhalaan HM, Helbig I, Koolen DA, Riess A, Kraegeloh-Mann I, Bauer P, Gulsuner S, Stamberger H, Ng AYJ, Tang S, Tohari S, Keren B, Schultz-Rogers LE, Klee EW, Barresi S, Tartaglia M, Mor-Shaked H, Maddirevula S, Begtrup A, Telegrafi A, Pfundt R, Schüle R, Ciruna B, Bonnard C, Pouladi MA, Stewart JC, Claridge-Chang A, Lefeber DJ, Alkuraya FS, Mathuru AS, Venkatesh B, Barycki JJ, Simpson MA, Jamuar SS, Schöls L, Reversade B. Loss-of-function mutations in UDP-Glucose 6-Dehydrogenase cause recessive developmental epileptic encephalopathy. Nat Commun 2020; 11:595. [PMID: 32001716 PMCID: PMC6992768 DOI: 10.1038/s41467-020-14360-7] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Accepted: 12/19/2019] [Indexed: 12/16/2022] Open
Abstract
Developmental epileptic encephalopathies are devastating disorders characterized by intractable epileptic seizures and developmental delay. Here, we report an allelic series of germline recessive mutations in UGDH in 36 cases from 25 families presenting with epileptic encephalopathy with developmental delay and hypotonia. UGDH encodes an oxidoreductase that converts UDP-glucose to UDP-glucuronic acid, a key component of specific proteoglycans and glycolipids. Consistent with being loss-of-function alleles, we show using patients' primary fibroblasts and biochemical assays, that these mutations either impair UGDH stability, oligomerization, or enzymatic activity. In vitro, patient-derived cerebral organoids are smaller with a reduced number of proliferating neuronal progenitors while mutant ugdh zebrafish do not phenocopy the human disease. Our study defines UGDH as a key player for the production of extracellular matrix components that are essential for human brain development. Based on the incidence of variants observed, UGDH mutations are likely to be a frequent cause of recessive epileptic encephalopathy.
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Affiliation(s)
- Holger Hengel
- Department of Neurology and Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
- German Center of Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Célia Bosso-Lefèvre
- Institute of Medical Biology, A*STAR, Biopolis, Singapore, 138648, Singapore
- National University of Singapore, Department of Paediatrics, Yong Loo Lin School of Medicine, Biopolis, Singapore, Singapore
| | - George Grady
- Department of Molecular and Structural Biochemistry North Carolina State University, Raleigh, NC, 27607, USA
| | | | - Hankun Li
- Yale-NUS College, 12 College Avenue West, Biopolis, Singapore, Singapore
| | - Sarah Pierce
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Élise Lebigot
- Service De Biochimie, Hopital Bicêtre, Assistance publique-Hôpitaux de Paris, 78 avenue du general leclerc, Le Kremlin Bicêtre, France
| | - Thong-Teck Tan
- Institute of Medical Biology, Singapore Stem Cell Bank, A∗STAR, Biopolis, Singapore, 138648, Singapore
| | - Michelle Y Eio
- Institute of Medical Biology, Singapore Stem Cell Bank, A∗STAR, Biopolis, Singapore, 138648, Singapore
| | - Gunaseelan Narayanan
- Institute of Medical Biology, Singapore Stem Cell Bank, A∗STAR, Biopolis, Singapore, 138648, Singapore
| | - Kagistia Hana Utami
- Translational Laboratory in Genetic Medicine, Agency for Science, Technology, and Research, Singapore (A*STAR), 8A Biomedical Grove, Immunos, Level 5, Singapore, 138648, Singapore
| | - Monica Yau
- Program in Developmental & Stem Cell Biology, The Hospital for Sick Children, Department of Molecular Genetics, The University of Toronto, Toronto, ON, Canada
| | - Nader Handal
- Caritas Baby Hospital Bethlehem, Bethlehem, State of Palestine
| | | | - Reinhard Keimer
- Ped Neurology, Staufer Hospital, Wetzgauer Straße 85, Schwäbisch-Gmünd, Germany
| | | | - Meral Gunay-Aygun
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Michael J Muriello
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Helene Verhelst
- Department of Paediatric Neurology, Ghent University Hospital, Ghent, Belgium
| | - Sarah Weckhuysen
- Center for Molecular Neurology, VIB, Antwerp, Belgium
- Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
- Department of Neurology, University Hospital Antwerp, Antwerp, Belgium
| | - Sonal Mahida
- Division of Neurology and Neurogenetics, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Sakkubai Naidu
- Division of Neurology and Neurogenetics, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Terrence G Thomas
- Neurology Service, Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
| | - Jiin Ying Lim
- Genetics Service, Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
- Paediatric Academic Clinical Programme, Duke-NUS Medical School, Singapore, Singapore
- SingHealth Duke-NUS Genomic Medicine Centre, Singapore, Singapore
| | - Ee Shien Tan
- Genetics Service, Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
- Paediatric Academic Clinical Programme, Duke-NUS Medical School, Singapore, Singapore
- SingHealth Duke-NUS Genomic Medicine Centre, Singapore, Singapore
| | - Damien Haye
- Service de Génétique Médicale, CHU De Nice Hôpital de l'Archet 2, 151 route Saint Antoine de la Ginestière, CS 23079 062002, Nice, Cedex 3, France
| | - Michèl A A P Willemsen
- Department of Pediatric Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Renske Oegema
- Department of Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Wendy G Mitchell
- Neurology Division, Childrens Hospital Los Angeles & Department of Neurology, Keck School of Medicine of University of Southern California, Los Angeles, CA, 90033, USA
| | - Tyler Mark Pierson
- Department of Pediatrics, Department of Neurology, & the Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Marisa V Andrews
- Division of Genetics and Genomic Medicine, Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
| | - Marcia C Willing
- Division of Genetics and Genomic Medicine, Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
| | - Lance H Rodan
- Division of Genetics and Genomics and Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | - Tahsin Stefan Barakat
- Department of Clinical Genetics, Erasmus MC, University Medical Center, Wytemaweg 80, 3015 CN, Rotterdam, The Netherlands
| | - Marjon van Slegtenhorst
- Department of Clinical Genetics, Erasmus MC, University Medical Center, Wytemaweg 80, 3015 CN, Rotterdam, The Netherlands
| | - Ralitza H Gavrilova
- Department of Clinical Genomics, Mayo Clinic, 200 First Street SW, Rochester, MN, USA
| | - Diego Martinelli
- Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù, IRCCS, viale San Paolo 15, 00146, Rome, Italy
| | - Tal Gilboa
- Child Neurology Unit, Hadassah-Hebrew University Medical Center, 9112001, Jerusalem, Israel
| | - Abdullah M Tamim
- Pediatric Neurology, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Mais O Hashem
- Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Moeenaldeen D AlSayed
- Department of Medical Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Maha M Abdulrahim
- Department of Medical Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Mohammed Al-Owain
- Department of Medical Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Ali Awaji
- Department of Pediatrics, King Fahad Central Hospital in Jizan, Abu Arish, Saudi Arabia
| | - Adel A H Mahmoud
- Pediatric Neurology Department, National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Eissa A Faqeih
- Section of Medical Genetics, Children's Hospital, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Ali Al Asmari
- Section of Medical Genetics, Children's Hospital, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Sulwan M Algain
- General Pediatrics and Adolescents, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Lamyaa A Jad
- Pediatric Neurology Department, National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Hesham M Aldhalaan
- Neuroscience Department King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Ingo Helbig
- Division of Neurology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - David A Koolen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Angelika Riess
- Institute of Medical Genetics and Applied Genomics (Tübingen) and Centogene AG (Rostock), Rostock, Germany
| | | | - Peter Bauer
- Institute of Medical Genetics and Applied Genomics (Tübingen) and Centogene AG (Rostock), Rostock, Germany
| | - Suleyman Gulsuner
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Hannah Stamberger
- Center for Molecular Neurology, VIB, Antwerp, Belgium
- Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
- Department of Neurology, University Hospital Antwerp, Antwerp, Belgium
| | - Alvin Yu Jin Ng
- Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore, 138673, Singapore
| | - Sha Tang
- Division of Clinical Genomics, Ambry Genetics, Aliso Viejo, CA, USA
| | - Sumanty Tohari
- Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore, 138673, Singapore
| | - Boris Keren
- APHP, GH Pitié Salpêtrière, Department of Genetics, Unit of Development Genomics, Paris, France
| | | | - Eric W Klee
- Department of Clinical Genomics, Mayo Clinic, 200 First Street SW, Rochester, MN, USA
| | - Sabina Barresi
- Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù, IRCCS, viale San Paolo 15, 00146, Rome, Italy
| | - Marco Tartaglia
- Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù, IRCCS, viale San Paolo 15, 00146, Rome, Italy
| | - Hagar Mor-Shaked
- Department of Genetic and Metabolic Diseases, Hadassah-Hebrew University Medical Center, 9112001, Jerusalem, Israel
| | - Sateesh Maddirevula
- Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Amber Begtrup
- GeneDx, 207 Perry Parkway, Gaithersburg, MD, 20877, USA
| | | | - Rolph Pfundt
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Rebecca Schüle
- Department of Neurology and Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
- German Center of Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Brian Ciruna
- Program in Developmental & Stem Cell Biology, The Hospital for Sick Children, Department of Molecular Genetics, The University of Toronto, Toronto, ON, Canada
| | - Carine Bonnard
- Institute of Medical Biology, A*STAR, Biopolis, Singapore, 138648, Singapore
| | - Mahmoud A Pouladi
- Translational Laboratory in Genetic Medicine, Agency for Science, Technology, and Research, Singapore (A*STAR), 8A Biomedical Grove, Immunos, Level 5, Singapore, 138648, Singapore
- Department of Physiology, National University of Singapore, Singapore, 117597, Singapore
- Department of Medicine, National University of Singapore, Singapore, 117597, Singapore
| | - James C Stewart
- Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore, 138673, Singapore
| | - Adam Claridge-Chang
- Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore, 138673, Singapore
- Program in Neuroscience and Behavioral Disorders, Duke-NUS Medical School, Singapore, Singapore
| | - Dirk J Lefeber
- Department of Neurology, Donders Center for Brain, Cognition, and Behavior, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Translational Metabolic Laboratory, Nijmegen, The Netherlands
| | - Fowzan S Alkuraya
- Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Ajay S Mathuru
- Yale-NUS College, 12 College Avenue West, Biopolis, Singapore, Singapore
- Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore, 138673, Singapore
| | - Byrappa Venkatesh
- National University of Singapore, Department of Paediatrics, Yong Loo Lin School of Medicine, Biopolis, Singapore, Singapore
- Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore, 138673, Singapore
| | - Joseph J Barycki
- Department of Molecular and Structural Biochemistry North Carolina State University, Raleigh, NC, 27607, USA
| | - Melanie A Simpson
- Department of Molecular and Structural Biochemistry North Carolina State University, Raleigh, NC, 27607, USA
| | - Saumya S Jamuar
- Genetics Service, Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
- Paediatric Academic Clinical Programme, Duke-NUS Medical School, Singapore, Singapore
- SingHealth Duke-NUS Genomic Medicine Centre, Singapore, Singapore
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore
| | - Ludger Schöls
- Department of Neurology and Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.
- German Center of Neurodegenerative Diseases (DZNE), Tübingen, Germany.
| | - Bruno Reversade
- Institute of Medical Biology, A*STAR, Biopolis, Singapore, 138648, Singapore.
- National University of Singapore, Department of Paediatrics, Yong Loo Lin School of Medicine, Biopolis, Singapore, Singapore.
- Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore, 138673, Singapore.
- Medical Genetics Department, Koç University School of Medicine, 34010, Istanbul, Turkey.
- Reproductive Biology Laboratory, Obstetrics and Gynaecology, Academic Medical Center (AMC), Meibergdreef 9, 1105 AZ, Amsterdam-Zuidoost, The Netherlands.
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584
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Lee Y, Park S, Lee JS, Kim SY, Cho J, Yoo Y, Lee S, Yoo T, Lee M, Seo J, Lee J, Kneissl J, Lee J, Jeon H, Jeon EY, Hong SE, Kim E, Kim H, Kim WJ, Kim JS, Ko JM, Cho A, Lim BC, Kim WS, Choi M, Chae JH. Genomic profiling of 553 uncharacterized neurodevelopment patients reveals a high proportion of recessive pathogenic variant carriers in an outbred population. Sci Rep 2020; 10:1413. [PMID: 31996704 PMCID: PMC6989631 DOI: 10.1038/s41598-020-58101-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 01/10/2020] [Indexed: 11/22/2022] Open
Abstract
A substantial portion of Mendelian disease patients suffers from genetic variants that are inherited in a recessive manner. A precise understanding of pathogenic recessive variants in a population would assist in pre-screening births of such patients. However, a systematic understanding of the contribution of recessive variants to Mendelian diseases is still lacking. Therefore, genetic diagnosis and variant discovery of 553 undiagnosed Korean patients with complex neurodevelopmental problems (KND for Korean NeuroDevelopmental cohort) were performed using whole exome sequencing of patients and their parents. Disease-causing variants, including newly discovered variants, were identified in 57.5% of the probands of the KND cohort. Among the patients with the previous reported pathogenic variants, 35.1% inherited these variants in a recessive manner. Genes that cause recessive disorders in our cohort tend to be less constrained by loss-of-function variants and were enriched in lipid metabolism and mitochondrial functions. This observation was applied to an estimation that approximately 1 in 17 healthy Korean individuals carry at least one of these pathogenic variants that develop severe neurodevelopmental problems in a recessive manner. Furthermore, the feasibility of these genes for carrier screening was evaluated. Our results will serve as a foundation for recessive variant screening to reduce occurrences of rare Mendelian disease patients. Additionally, our results highlight the utility and necessity of whole exome sequencing-based diagnostics for improving patient care in a country with a centralized medical system.
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Affiliation(s)
- Youngha Lee
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Soojin Park
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Jin Sook Lee
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
- Department of Pediatrics, Gil Medical Center, Gachon University College of Medicine, Incheon, 21565, Republic of Korea
- Department of Genome Medicine and Science, Gil Medical Center, Gachon University College of Medicine, Incheon, 21565, Republic of Korea
| | - Soo Yeon Kim
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Jaeso Cho
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Yongjin Yoo
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Sangmoon Lee
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Taekyeong Yoo
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Moses Lee
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Jieun Seo
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Jeongeun Lee
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
- Interdisciplinary Program for Bioengineering, Graduate School, Seoul National Universty, Seoul, 03080, Republic of Korea
| | - Jana Kneissl
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Jean Lee
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Hyoungseok Jeon
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Eun Young Jeon
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Sung Eun Hong
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Eunha Kim
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Hyuna Kim
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Woo Joong Kim
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Jon Soo Kim
- Department of Pediatrics, Chungbuk National University Hospital, Cheongju, 28644, Republic of Korea
| | - Jung Min Ko
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Anna Cho
- Department of Pediatrics, Ewha Womans University School of Medicine, Seoul, 07804, Republic of Korea
| | - Byung Chan Lim
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Won Seop Kim
- Department of Pediatrics, College of Medicine, Chungbuk National University, Cheongju, 28644, Republic of Korea
| | - Murim Choi
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
| | - Jong-Hee Chae
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
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585
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Hey TM, Rasmussen TB, Madsen T, Aagaard MM, Harbo M, Mølgaard H, Møller JE, Eiskjær H, Mogensen J. Pathogenic RBM20-Variants Are Associated With a Severe Disease Expression in Male Patients With Dilated Cardiomyopathy. Circ Heart Fail 2020; 12:e005700. [PMID: 30871348 DOI: 10.1161/circheartfailure.118.005700] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Background As pathogenic variants in the gene for RBM20 appear with a frequency of 6% among Danish patients with dilated cardiomyopathy (DCM), it was the aim to investigate the associated disease expression in affected families. Methods and Results Clinical investigations were routinely performed in DCM index-patients and their relatives. In addition, ≥76 recognized and likely DCM-genes were investigated. DNA-sequence-variants within RBM20 were considered suitable for genetic testing when they fulfilled the criteria of (1) being pathogenic according to the American College of Medical Genetics and Genomics-classification, (2) appeared with an allele frequency of <1:10.000, and (3) segregated with DCM in ≥7 affected individuals. A total of 80 individuals from 15 families carried 5 different pathogenic RBM20-variants considered suitable for genetic testing. The penetrance was 66% (53/80) and age-dependent. Males were both significantly younger and had lower ejection fraction at diagnosis than females (age, 29±11 versus 48±12 years; P<0.01; ejection fraction, 29±13% versus 38±9%; P<0.01). Furthermore, 11 of 31 affected males needed a cardiac transplant while none of 22 affected females required this treatment ( P<0.001). Thirty percent of RBM20-carriers with DCM died suddenly or experienced severe ventricular arrhythmias although no adverse events were identified among healthy RBM20-carriers with a normal cardiac investigation. The event-free survival of male RBM20-carriers was significantly shorter compared with female carriers ( P<0.001). Conclusions The disease expression associated with pathogenic RBM20-variants was severe especially in males. The findings of the current study suggested that close clinical follow-up of RBM20-carriers is important which may ensure early detection of disease development and thereby improve management.
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Affiliation(s)
- Thomas Morris Hey
- Department of Cardiology, Odense University Hospital, Denmark (T.M.H., J.E.M., J.M.)
- Faculty of Health Sciences, University of Southern Denmark, Odense (T.M.H., J.E.M., J.M.)
- Odense Patient Data Explorative Network (OPEN), University of Southern Denmark, Odense (T.M.H., J.E.M., J.M.)
| | - Torsten B Rasmussen
- Department of Cardiology, Aarhus University Hospital, Denmark (T.B.R., H.M., H.E.)
| | - Trine Madsen
- Department of Cardiology, Aalborg University Hospital, Denmark (T.M.)
| | - Mads Malik Aagaard
- Department of Clinical Genetics, Hospital Lillebaelt, Vejle, Denmark (M.M.A., M.H.)
| | - Maria Harbo
- Department of Clinical Genetics, Hospital Lillebaelt, Vejle, Denmark (M.M.A., M.H.)
| | - Henning Mølgaard
- Department of Cardiology, Aarhus University Hospital, Denmark (T.B.R., H.M., H.E.)
| | - Jacob E Møller
- Department of Cardiology, Odense University Hospital, Denmark (T.M.H., J.E.M., J.M.)
- Faculty of Health Sciences, University of Southern Denmark, Odense (T.M.H., J.E.M., J.M.)
- Odense Patient Data Explorative Network (OPEN), University of Southern Denmark, Odense (T.M.H., J.E.M., J.M.)
| | - Hans Eiskjær
- Department of Cardiology, Aarhus University Hospital, Denmark (T.B.R., H.M., H.E.)
| | - Jens Mogensen
- Department of Cardiology, Odense University Hospital, Denmark (T.M.H., J.E.M., J.M.)
- Faculty of Health Sciences, University of Southern Denmark, Odense (T.M.H., J.E.M., J.M.)
- Odense Patient Data Explorative Network (OPEN), University of Southern Denmark, Odense (T.M.H., J.E.M., J.M.)
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586
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Yıldız Y, Arslan M, Çelik G, Kasapkara ÇS, Ceylaner S, Dursun A, Sivri HS, Coşkun T, Tokatlı A. Genotypes and estimated prevalence of phosphomannomutase 2 deficiency in Turkey differ significantly from those in Europe. Am J Med Genet A 2020; 182:705-712. [PMID: 31981409 DOI: 10.1002/ajmg.a.61488] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2019] [Revised: 01/03/2020] [Accepted: 01/09/2020] [Indexed: 11/07/2022]
Abstract
Phosphomannomutase 2 deficiency (PMM2-CDG) is an autosomal recessive congenital disorder of glycosylation, characterized by multisystem phenotypes, mostly including neurological involvement. In Turkey, due to high rates of consanguinity, many patients with autosomal recessive disorders have homozygous variants and these diseases are more common, compared to Europe. However, published reports of PMM2-CDG from Turkey are scarce. Here, we describe clinical and molecular characteristics of PMM2-CDG patients diagnosed in three centers in Turkey, using data obtained retrospectively from hospital records. We also analyzed an in-house exome database of 1,313 individuals for PMM2 variants and estimated allele, carrier and disease frequencies, using the Hardy-Weinberg law. Eleven patients were identified from 10 families, displaying similar characteristics to previous publications, with the exception of the first report of epilepsia partialis continua and increased prevalence of sensorineural hearing loss. p.Val231Met was the most common variant, and was homozygous in four patients. This novel genotype results in a neurological phenotype with subclinical visceral involvement. Exome database analysis showed an estimated prevalence of 1:286,726 for PMM2-CDG, which is much lower than expected (1:20,000 in Europe) because of the lack of predominance of the common European p.Asp141His allele, associated with a severe phenotype (allele frequency of 1:2,622 compared to 1:252 in gnomAD). These data suggest that prevalence, phenotypes and genotypes of PMM2-CDG in Turkey differ significantly from those in Europe: Milder phenotypes may be more common, but the disease itself rarer, requiring a higher clinical suspicion for diagnosis. The association of sensorineural hearing loss with PMM2-CDG warrants further study.
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Affiliation(s)
- Yılmaz Yıldız
- Faculty of Medicine, Department of Pediatrics, Division of Pediatric Metabolism, Hacettepe University, Ankara, Turkey.,Dr. Sami Ulus Teaching and Research Hospital for Maternal and Child Health, Pediatric Metabolic Diseases Unit, Ankara, Turkey.,Gülhane Teaching and Research Hospital, Pediatric Metabolism Unit, University of Health Sciences, Ankara, Turkey
| | - Mutluay Arslan
- Gülhane Teaching and Research Hospital, Department of Pediatrics, Division of Pediatric Neurology, University of Health Sciences, Ankara, Turkey
| | - Gökalp Çelik
- İntergen Genetic Diagnosis Center, Ankara, Turkey
| | - Çiğdem Seher Kasapkara
- Dr. Sami Ulus Teaching and Research Hospital for Maternal and Child Health, Pediatric Metabolic Diseases Unit, Ankara, Turkey.,Faculty of Medicine, Department of Pediatrics, Yıldırım Beyazıt University, Ankara, Turkey
| | | | - Ali Dursun
- Faculty of Medicine, Department of Pediatrics, Division of Pediatric Metabolism, Hacettepe University, Ankara, Turkey
| | - Hatice Serap Sivri
- Faculty of Medicine, Department of Pediatrics, Division of Pediatric Metabolism, Hacettepe University, Ankara, Turkey
| | - Turgay Coşkun
- Faculty of Medicine, Department of Pediatrics, Division of Pediatric Metabolism, Hacettepe University, Ankara, Turkey
| | - Ayşegül Tokatlı
- Faculty of Medicine, Department of Pediatrics, Division of Pediatric Metabolism, Hacettepe University, Ankara, Turkey
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587
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Zheng Z, Huang D, Wang J, Zhao K, Zhou Y, Guo Z, Zhai S, Xu H, Cui H, Yao H, Wang Z, Yi X, Zhang S, Sham PC, Li MJ. QTLbase: an integrative resource for quantitative trait loci across multiple human molecular phenotypes. Nucleic Acids Res 2020; 48:D983-D991. [PMID: 31598699 PMCID: PMC6943073 DOI: 10.1093/nar/gkz888] [Citation(s) in RCA: 96] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Revised: 09/24/2019] [Accepted: 10/02/2019] [Indexed: 12/20/2022] Open
Abstract
Recent advances in genome sequencing and functional genomic profiling have promoted many large-scale quantitative trait locus (QTL) studies, which connect genotypes with tissue/cell type-specific cellular functions from transcriptional to post-translational level. However, no comprehensive resource can perform QTL lookup across multiple molecular phenotypes and investigate the potential cascade effect of functional variants. We developed a versatile resource, named QTLbase, for interpreting the possible molecular functions of genetic variants, as well as their tissue/cell-type specificity. Overall, QTLbase has five key functions: (i) curating and compiling genome-wide QTL summary statistics for 13 human molecular traits from 233 independent studies; (ii) mapping QTL-relevant tissue/cell types to 78 unified terms according to a standard anatomogram; (iii) normalizing variant and trait information uniformly, yielding >170 million significant QTLs; (iv) providing a rich web client that enables phenome- and tissue-wise visualization; and (v) integrating the most comprehensive genomic features and functional predictions to annotate the potential QTL mechanisms. QTLbase provides a one-stop shop for QTL retrieval and comparison across multiple tissues and multiple layers of molecular complexity, and will greatly help researchers interrogate the biological mechanism of causal variants and guide the direction of functional validation. QTLbase is freely available at http://mulinlab.org/qtlbase.
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Affiliation(s)
- Zhanye Zheng
- Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300070, China
| | - Dandan Huang
- Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300070, China
| | - Jianhua Wang
- Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300070, China
| | - Ke Zhao
- Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300070, China
| | - Yao Zhou
- Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300070, China
| | - Zhenyang Guo
- School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR 999077, China
| | - Sinan Zhai
- School of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, China
| | - Hang Xu
- Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300070, China
| | - Hui Cui
- Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300070, China
| | - Hongcheng Yao
- School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR 999077, China
| | - Zhao Wang
- Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300070, China
| | - Xianfu Yi
- School of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, China
| | - Shijie Zhang
- Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300070, China
| | - Pak Chung Sham
- Centre of Genomics Sciences, State Key Laboratory of Brain and Cognitive Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR 999077, China
| | - Mulin Jun Li
- Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, School of Basic Medical Sciences, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300070, China
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588
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Zhao G, Li K, Li B, Wang Z, Fang Z, Wang X, Zhang Y, Luo T, Zhou Q, Wang L, Xie Y, Wang Y, Chen Q, Xia L, Tang Y, Tang B, Xia K, Li J. Gene4Denovo: an integrated database and analytic platform for de novo mutations in humans. Nucleic Acids Res 2020; 48:D913-D926. [PMID: 31642496 PMCID: PMC7145562 DOI: 10.1093/nar/gkz923] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Revised: 09/19/2019] [Accepted: 10/08/2019] [Indexed: 12/14/2022] Open
Abstract
De novo mutations (DNMs) significantly contribute to sporadic diseases, particularly in neuropsychiatric disorders. Whole-exome sequencing (WES) and whole-genome sequencing (WGS) provide effective methods for detecting DNMs and prioritizing candidate genes. However, it remains a challenge for scientists, clinicians, and biologists to conveniently access and analyse data regarding DNMs and candidate genes from scattered publications. To fill the unmet need, we integrated 580 799 DNMs, including 30 060 coding DNMs detected by WES/WGS from 23 951 individuals across 24 phenotypes and prioritized a list of candidate genes with different degrees of statistical evidence, including 346 genes with false discovery rates <0.05. We then developed a database called Gene4Denovo (http://www.genemed.tech/gene4denovo/), which allowed these genetic data to be conveniently catalogued, searched, browsed, and analysed. In addition, Gene4Denovo integrated data from >60 genomic sources to provide comprehensive variant-level and gene-level annotation and information regarding the DNMs and candidate genes. Furthermore, Gene4Denovo provides end-users with limited bioinformatics skills to analyse their own genetic data, perform comprehensive annotation, and prioritize candidate genes using custom parameters. In conclusion, Gene4Denovo conveniently allows for the accelerated interpretation of DNM pathogenicity and the clinical implication of DNMs in humans.
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Affiliation(s)
- Guihu Zhao
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Kuokuo Li
- Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Bin Li
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Zheng Wang
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhenghuan Fang
- Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Xiaomeng Wang
- Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Yi Zhang
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Tengfei Luo
- Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Qiao Zhou
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Lin Wang
- Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Yali Xie
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yijing Wang
- Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Qian Chen
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Lu Xia
- Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Yu Tang
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Beisha Tang
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Kun Xia
- Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Jinchen Li
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Centre for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
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589
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Lee CY, Chattopadhyay A, Chiang LM, Juang JMJ, Lai LC, Tsai MH, Lu TP, Chuang EY. VariED: the first integrated database of gene annotation and expression profiles for variants related to human diseases. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2020; 2019:5533239. [PMID: 31317185 PMCID: PMC6637258 DOI: 10.1093/database/baz075] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 05/15/2019] [Accepted: 05/17/2019] [Indexed: 12/18/2022]
Abstract
Integrated analysis of DNA variants and gene expression profiles may facilitate precise identification of gene regulatory networks involved in disease mechanisms. Despite the widespread availability of public resources, we lack databases that are capable of simultaneously providing gene expression profiles, variant annotations, functional prediction scores and pathogenic analyses. VariED is the first web-based querying system that integrates an annotation database and expression profiles for genetic variants. The database offers a user-friendly platform and locates gene/variant names in the literature by connecting to established online querying tools, biological annotation tools and records from free-text literature. VariED acts as a central hub for organized genome information consisting of gene annotation, variant allele frequency, functional prediction, clinical interpretation and gene expression profiles in three species: human, mouse and zebrafish. VariED also provides a novel scoring scheme to predict the functional impact of a DNA variant. With one single entry, all results regarding queried DNA variants can be downloaded. VariED can potentially serve as an efficient way to obtain comprehensive variant knowledge for clinicians and scientists around the world working on important drug discoveries and precision treatments.
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Affiliation(s)
- Chien-Yueh Lee
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan
| | - Amrita Chattopadhyay
- Bioinformatics and Biostatistics Core, Center of Genomic Medicine, National Taiwan University, Taipei, Taiwan
| | - Li-Mei Chiang
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan
| | - Jyh-Ming Jimmy Juang
- Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.,College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Liang-Chuan Lai
- Graduate Institute of Physiology, National Taiwan University, Taipei, Taiwan
| | - Mong-Hsun Tsai
- Bioinformatics and Biostatistics Core, Center of Genomic Medicine, National Taiwan University, Taipei, Taiwan.,Institute of Biotechnology, National Taiwan University, Taipei, Taiwan.,Center for Biotechnology, National Taiwan University, Taipei, Taiwan
| | - Tzu-Pin Lu
- Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan.,Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan
| | - Eric Y Chuang
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.,Bioinformatics and Biostatistics Core, Center of Genomic Medicine, National Taiwan University, Taipei, Taiwan
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590
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Ibarluzea N, de la Hoz AB, Villate O, Llano I, Ocio I, Martí I, Guitart M, Gabau E, Andrade F, Gener B, Tejada MI. Targeted Next-Generation Sequencing in Patients with Suggestive X-Linked Intellectual Disability. Genes (Basel) 2020; 11:genes11010051. [PMID: 31906484 PMCID: PMC7017351 DOI: 10.3390/genes11010051] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 12/19/2019] [Accepted: 12/30/2019] [Indexed: 12/28/2022] Open
Abstract
X-linked intellectual disability (XLID) is known to contribute up to 10% of intellectual disability (ID) in males and could explain the increased ratio of affected males observed in patients with ID. Over the past decade, next-generation sequencing has clearly stimulated the gene discovery process and has become part of the diagnostic procedure. We have performed targeted next-generation sequencing of 82 XLID genes on 61 non-related male patients with suggestive non-syndromic XLID. These patients were initially referred to the molecular genetics laboratory to exclude Fragile X Syndrome. The cohort includes 47 male patients with suggestive X-linked family history of ID meaning that they had half-brothers or maternal cousins or uncles affected; and 14 male patients with ID and affected brothers whose mothers show skewed X-inactivation. Sequencing data analysis identified 17 candidate variants in 16 patients. Seven families could be re-contacted and variant segregation analysis of the respective eight candidate variants was performed: HUWE1, IQSEC2, MAOA, MED12, PHF8, SLC6A8, SLC9A6, and SYN1. Our results show the utility of targeted next-generation sequencing in unravelling the genetic origin of XLID, especially in retrospective cases. Variant segregation and additional studies like RNA sequencing and biochemical assays also helped in re-evaluating and further classifying the genetic variants found.
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Affiliation(s)
- Nekane Ibarluzea
- Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
- Spanish Consortium for Research on Rare Diseases (CIBERER), 28029 Madrid, Spain
| | - Ana Belén de la Hoz
- Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
- Spanish Consortium for Research on Rare Diseases (CIBERER), 28029 Madrid, Spain
| | - Olatz Villate
- Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
- Spanish Consortium for Research on Rare Diseases (CIBERER), 28029 Madrid, Spain
- Genetics Service, Cruces University Hospital, Osakidetza Basque Health Service, 48903 Barakaldo, Spain
| | - Isabel Llano
- Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
- Spanish Consortium for Research on Rare Diseases (CIBERER), 28029 Madrid, Spain
- Genetics Service, Cruces University Hospital, Osakidetza Basque Health Service, 48903 Barakaldo, Spain
| | - Intzane Ocio
- Department of Paediatric Neurology, Araba University Hospital, Osakidetza Basque Health Service, 01009 Gasteiz, Spain
| | - Itxaso Martí
- Department of Paediatric Neurology, Donostia University Hospital, Osakidetza Basque Health Service, 20014 Donostia, Spain
| | - Miriam Guitart
- Genetics Laboratory, Paediatric Unit, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, 08208 Sabadell, Spain
| | - Elisabeth Gabau
- Genetics Laboratory, Paediatric Unit, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, 08208 Sabadell, Spain
| | - Fernando Andrade
- Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
- Spanish Consortium for Research on Rare Diseases (CIBERER), 28029 Madrid, Spain
| | - Blanca Gener
- Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
- Spanish Consortium for Research on Rare Diseases (CIBERER), 28029 Madrid, Spain
- Genetics Service, Cruces University Hospital, Osakidetza Basque Health Service, 48903 Barakaldo, Spain
| | - María-Isabel Tejada
- Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
- Spanish Consortium for Research on Rare Diseases (CIBERER), 28029 Madrid, Spain
- Genetics Service, Cruces University Hospital, Osakidetza Basque Health Service, 48903 Barakaldo, Spain
- Correspondence:
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591
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Popp B, Erber R, Kraus C, Vasileiou G, Hoyer J, Burghaus S, Hartmann A, Beckmann MW, Reis A, Agaimy A. Targeted sequencing of FH-deficient uterine leiomyomas reveals biallelic inactivating somatic fumarase variants and allows characterization of missense variants. Mod Pathol 2020; 33:2341-2353. [PMID: 32612247 PMCID: PMC7581509 DOI: 10.1038/s41379-020-0596-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Revised: 05/17/2020] [Accepted: 05/19/2020] [Indexed: 12/11/2022]
Abstract
Uterine leiomyomas (ULs) constitute a considerable health burden in the general female population. The fumarate hydratase (FH) deficient subtype is found in up to 1.6% and can occur in hereditary leiomyomatosis and renal cell carcinoma (HLRCC) syndrome. We sequenced 13 FH deficient ULs from a previous immunohistochemical screen using a targeted panel and identified biallelic FH variants in all. In eight, we found an FH point mutation (two truncating, six missense) with evidence for loss of the second allele. Variant allele-frequencies in all cases with a point mutation pointed to somatic variants. Spatial clustering of the identified missense variants in the lyase domain indicated altered fumarase oligomerization with subsequent degradation as explanation for the observed FH deficiency. Biallelic FH deletions in five tumors confirm the importance of copy number loss as mutational mechanism. By curating all pathogenic FH variants and calculating their population frequency, we estimate a carrier frequency of up to 1/2,563. Comparing with the prevalence of FH deficient ULs, we conclude that most are sporadic and estimate 2.7-13.9% of females with an FH deficient UL to carry a germline FH variant. Further prospective tumor/normal sequencing studies are needed to develop a reliable screening strategy for HLRCC in women with ULs.
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Affiliation(s)
- Bernt Popp
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany ,grid.9647.c0000 0004 7669 9786Institute of Human Genetics, University of Leipzig Hospitals and Clinics, Leipzig, Germany
| | - Ramona Erber
- Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Cornelia Kraus
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Georgia Vasileiou
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Juliane Hoyer
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Stefanie Burghaus
- Department of Obstetrics and Gynecology, University Hospital Erlangen, Comprehensive Cancer Center ER-EMN, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Arndt Hartmann
- Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Matthias W. Beckmann
- Department of Obstetrics and Gynecology, University Hospital Erlangen, Comprehensive Cancer Center ER-EMN, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - André Reis
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
| | - Abbas Agaimy
- Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
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592
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Lerario AM, Mohan DR, Montenegro LR, Funari MFDA, Nishi MY, Narcizo ADM, Benedetti AFF, Oba-Shinjo SM, Vitorino AJ, dos Santos RASX, Jorge AADL, Onuchic LF, Marie SKN, Mendonca BB. SELAdb: A database of exonic variants in a Brazilian population referred to a quaternary medical center in São Paulo. Clinics (Sao Paulo) 2020; 75:e1913. [PMID: 32785571 PMCID: PMC7410354 DOI: 10.6061/clinics/2020/e1913] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 06/30/2020] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVES High-throughput sequencing of genomes, exomes, and disease-focused gene panels is becoming increasingly common for molecular diagnostics. However, identifying a single clinically relevant pathogenic variant among thousands of genetic polymorphisms is a challenging task. Publicly available genomic databases are useful resources to filter out common genetic variants present in the population and enable the identification of each disease-causing variant. Based on our experience applying these technologies at Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, Brazil, we recognized that the Brazilian population is not adequately represented in widely available genomic databases. METHODS Here, we took advantage of our 5-year experience as a high-throughput sequencing core facility focused on individuals with putative genetic disorders to build a genomic database that may serve as a more accurate reference for our patient population: SELAdb. RESULTS/CONCLUSIONS Currently, our database comprises a final cohort of 523 unrelated individuals, including patients or family members managed by different clinics of HCFMUSP. We compared SELAdb with other publicly available genomic databases and demonstrated that this population is very heterogeneous, largely resembling Latin American individuals of mixed origin, rather than individuals of pure European ancestry. Interestingly, exclusively through SELAdb, we identified a spectrum of known and potentially novel pathogenic variants in genes associated with highly penetrant Mendelian disorders, illustrating that pathogenic variants circulating in the Brazilian population that is treated in our clinics are underrepresented in other population databases. SELAdb is freely available for public consultation at: http://intranet.fm.usp.br/sela.
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Affiliation(s)
- Antonio Marcondes Lerario
- Disciplina de Endocrinologia e Metabologia, Departamento de Clinica Medica, LIM/42, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR
- Department of Internal Medicine, Division of Endocrinology, Metabolism and Diabetes, University of Michigan, Ann Arbor, MI, USA
- Laboratorio de Sequenciamento em Larga Escala (SELA), Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR
| | - Dipika R. Mohan
- Medical Scientist Training Program, University of Michigan, Ann Arbor, MI, USA
- Doctoral Program in Cancer Biology, University of Michigan, Ann Arbor, MI, USA
| | - Luciana Ribeiro Montenegro
- Disciplina de Endocrinologia e Metabologia, Departamento de Clinica Medica, LIM/42, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR
- Laboratorio de Sequenciamento em Larga Escala (SELA), Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR
| | - Mariana Ferreira de Assis Funari
- Disciplina de Endocrinologia e Metabologia, Departamento de Clinica Medica, LIM/42, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR
- Laboratorio de Sequenciamento em Larga Escala (SELA), Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR
| | - Mirian Yumie Nishi
- Disciplina de Endocrinologia e Metabologia, Departamento de Clinica Medica, LIM/42, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR
- Laboratorio de Sequenciamento em Larga Escala (SELA), Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR
| | - Amanda de Moraes Narcizo
- Laboratorio de Sequenciamento em Larga Escala (SELA), Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR
| | - Anna Flavia Figueredo Benedetti
- Laboratorio de Sequenciamento em Larga Escala (SELA), Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR
| | - Sueli Mieko Oba-Shinjo
- Laboratorio de Biologia Molecular e Celular, LIM/15, Departamento de Neurologia, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR
- Laboratorio de Sequenciamento em Larga Escala (SELA), Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR
| | - Aurélio José Vitorino
- Laboratorio de Informatica Medica - LIM/01, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR
| | | | - Alexander Augusto de Lima Jorge
- Disciplina de Endocrinologia e Metabologia, Departamento de Clinica Medica, LIM/42, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR
- Laboratorio de Sequenciamento em Larga Escala (SELA), Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR
| | - Luiz Fernando Onuchic
- Disciplina de Medicina Molecular, Departamento de Clinica Medica, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR
- Disciplina de Nefrologia, Departamento de Clinica Medica, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR
- Laboratorio de Sequenciamento em Larga Escala (SELA), Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR
| | - Suely Kazue Nagahashi Marie
- Laboratorio de Biologia Molecular e Celular, LIM/15, Departamento de Neurologia, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR
- Laboratorio de Sequenciamento em Larga Escala (SELA), Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR
| | - Berenice Bilharinho Mendonca
- Disciplina de Endocrinologia e Metabologia, Departamento de Clinica Medica, LIM/42, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR
- Laboratorio de Sequenciamento em Larga Escala (SELA), Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR
- *Corresponding author. E-mail:
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593
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Zhong L, Zhao Z, Hu Q, Li Y, Zhao W, Li C, Xu Y, Rong R, Zhang J, Zhang Z, Li N, Liu Z. Identification of Maturity-Onset Diabetes of the Young Caused by Mutation in FOXM1 via Whole-Exome Sequencing in Northern China. Front Endocrinol (Lausanne) 2020; 11:534362. [PMID: 33633681 PMCID: PMC7900535 DOI: 10.3389/fendo.2020.534362] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 11/27/2020] [Indexed: 12/30/2022] Open
Abstract
Diabetes mellitus is a highly heterogeneous disorder encompassing different types with particular clinical manifestations, while maturity-onset diabetes of the young (MODY) is an early-onset monogenenic diabetes. Most genetic predisposition of MODY has been identified in European and American populations. A large number of Chinese individuals are misdiagnosed due to defects of unknown genes. In this study, we analyzed the genetic and clinical characteristics of the Northern China. A total of 200 diabetic patients, including 10 suspected MODY subjects, were enrolled, and the mutational analysis of monogenic genes was performed by whole-exome sequencing and confirmed by familial information and Sanger sequencing. We found that clinical features and genetic characteristics have varied widely between MODY and other diabetic subjects in Northern China. FOXM1, a key molecule in the proliferation of pancreatic β-cells, has a rare mutation rs535471991, which leads to instability within the phosphorylated domain that impairs its function. Our findings indicate that FOXM1 may play a critical role in MODY, which could reduce the misdiagnose rate and provide promising therapy for MODY patients.
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Affiliation(s)
- Liang Zhong
- The Shijiazhuang Second Hospital, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Basic Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang, China
- Shijiazhuang Technology Innovation Center of Precision Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang, China
| | - Zengyi Zhao
- The Shijiazhuang Second Hospital, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Basic Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang, China
| | - Qingshan Hu
- The Shijiazhuang Second Hospital, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Basic Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang, China
| | - Yang Li
- The Shijiazhuang Second Hospital, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Basic Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang, China
- Shijiazhuang Technology Innovation Center of Precision Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang, China
| | - Weili Zhao
- The Shijiazhuang Second Hospital, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Basic Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang, China
- Shijiazhuang Technology Innovation Center of Precision Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang, China
| | - Chuang Li
- The Shijiazhuang Second Hospital, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Basic Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang, China
| | - Yunqiang Xu
- The Shijiazhuang Second Hospital, Shijiazhuang, China
| | - Ruijuan Rong
- The Shijiazhuang Second Hospital, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Basic Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang, China
- Shijiazhuang Technology Innovation Center of Precision Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang, China
| | - Jing Zhang
- The Shijiazhuang Second Hospital, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Basic Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang, China
- Shijiazhuang Technology Innovation Center of Precision Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang, China
| | - Zifeng Zhang
- The Shijiazhuang Second Hospital, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Basic Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang, China
- Shijiazhuang Technology Innovation Center of Precision Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang, China
| | - Nan Li
- The Shijiazhuang Second Hospital, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Basic Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang, China
- Shijiazhuang Technology Innovation Center of Precision Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang, China
| | - Zanchao Liu
- The Shijiazhuang Second Hospital, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Basic Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang, China
- Shijiazhuang Technology Innovation Center of Precision Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang, China
- *Correspondence: Zanchao Liu,
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594
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Budny B, Zemojtel T, Kaluzna M, Gut P, Niedziela M, Obara-Moszynska M, Rabska-Pietrzak B, Karmelita-Katulska K, Stajgis M, Ambroziak U, Bednarczuk T, Wrotkowska E, Bukowska-Olech E, Jamsheer A, Ruchala M, Ziemnicka K. SEMA3A and IGSF10 Are Novel Contributors to Combined Pituitary Hormone Deficiency (CPHD). Front Endocrinol (Lausanne) 2020; 11:368. [PMID: 32612575 PMCID: PMC7308526 DOI: 10.3389/fendo.2020.00368] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 05/11/2020] [Indexed: 12/13/2022] Open
Abstract
Background: The mutation frequencies of pituitary transcription factors genes in patients with combined pituitary hormone deficiencies (CPHD) vary substantially between populations. However, apart from PROP1 the mutation rate of other genes is low and for almost half of the patients with CPHD the routine sequencing of known genes is unsuccessful in the identification of genetic causes. Methods: A cohort of 66 sporadic and nine familial CPHD cases (80 patients in total) were subjected to initial testing of the genes PROP1, POU1F1, LHX3, LHX4, and HESX1 using a targeted gene panel and MLPA. In patients who tested negative, a whole exome sequencing approach was employed. Results: In nine of the familial cases and 32 of the sporadic patients mutations in the PROP1 gene were found (the common pathogenic variants included c.301_302delAG and c.150delA). Mutations were also found in genes so far not related directly to CPHD. A unique homozygous and clinically relevant variant was identified in the SEMA3A gene, which may contribute to neural development and his phenotypic spectrum including short stature and isolated hypogonadotropic hypogonadism (IHH). Another pathogenic variant p.A1672T was found in the IGSF10 gene reported to be responsible for delayed puberty and neuronal migration during embryogenesis. Several suspected novel but predicted benign variants were also identified for the CHD7, WDR11 and FGF17 genes. Conclusion: Although PROP1 defects account for a majority of CPHD patients, identification of rare, less frequent variants constitutes a big challenge. Multiple genetic factors responsible for CPHD are still awaiting discovery and therefore the usage of efficient genomic tools (i.e., whole exome sequencing) will further broaden our knowledge regarding pituitary development and function.
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Affiliation(s)
- Bartlomiej Budny
- Department of Endocrinology, Metabolism and Internal Diseases, Poznan University of Medical Sciences, Poznan, Poland
- *Correspondence: Bartlomiej Budny
| | - Tomasz Zemojtel
- Institute for Medical and Human Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Genomics Platform, Berlin Institute of Health, Berlin, Germany
| | - Malgorzata Kaluzna
- Department of Endocrinology, Metabolism and Internal Diseases, Poznan University of Medical Sciences, Poznan, Poland
| | - Pawel Gut
- Department of Endocrinology, Metabolism and Internal Diseases, Poznan University of Medical Sciences, Poznan, Poland
| | - Marek Niedziela
- Department of Pediatric Endocrinology and Rheumatology, Poznan University of Medical Sciences, Poznan, Poland
| | - Monika Obara-Moszynska
- Department of Pediatric Endocrinology and Rheumatology, Poznan University of Medical Sciences, Poznan, Poland
| | - Barbara Rabska-Pietrzak
- Department of General Radiology and Neuroradiology, Poznan University of Medical Sciences, Poznan, Poland
| | | | - Marek Stajgis
- Department of Pediatric Endocrinology and Rheumatology, Poznan University of Medical Sciences, Poznan, Poland
| | - Urszula Ambroziak
- Department of Internal Medicine and Endocrinology, Medical University of Warsaw, Warsaw, Poland
| | - Tomasz Bednarczuk
- Department of Internal Medicine and Endocrinology, Medical University of Warsaw, Warsaw, Poland
| | - Elzbieta Wrotkowska
- Department of Endocrinology, Metabolism and Internal Diseases, Poznan University of Medical Sciences, Poznan, Poland
| | | | - Aleksander Jamsheer
- Department of Medical Genetics, Poznan University of Medical Sciences, Poznan, Poland
| | - Marek Ruchala
- Department of Endocrinology, Metabolism and Internal Diseases, Poznan University of Medical Sciences, Poznan, Poland
| | - Katarzyna Ziemnicka
- Department of Endocrinology, Metabolism and Internal Diseases, Poznan University of Medical Sciences, Poznan, Poland
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595
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Hoelz H, Herdl C, Gerstl L, Tacke M, Vill K, von Stuelpnagel C, Rost I, Hoertnagel K, Abicht A, Hollizeck S, Larsen LHG, Borggraefe I. Impact on Clinical Decision Making of Next-Generation Sequencing in Pediatric Epilepsy in a Tertiary Epilepsy Referral Center. Clin EEG Neurosci 2020; 51:61-69. [PMID: 31554424 DOI: 10.1177/1550059419876518] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Background. Next-generation sequencing (NGS) describes new powerful techniques of nucleic acid analysis, which allow not only disease gene identification diagnostics but also applications for transcriptome/methylation analysis and meta-genomics. NGS helps identify many monogenic epilepsy syndromes. Pediatric epilepsy patients can be tested using NGS epilepsy panels to diagnose them, thereby influencing treatment choices. The primary objective of this study was to evaluate the impact of genetic testing on clinical decision making in pediatric epilepsy patients. Methods. We completed a single-center retrospective cohort study of 91 patients (43 male) aged 19 years or less undergoing NGS with epilepsy panels differing in size ranging from 5 to 434 genes from October 2013 to September 2017. Results. During a mean time of 3.6 years between symptom onset and genetic testing, subjects most frequently showed epileptic encephalopathy (40%), focal epilepsy (33%), and generalized epilepsy (18%). In 16 patients (18% of the study population), "pathogenic" or "likely pathogenic" results according to ACMG criteria were found. Ten of the 16 patients (63%) experienced changes in clinical management regarding their medication and avoidance of further diagnostic evaluation, that is, presurgical evaluation. Conclusion. NGS epilepsy panels contribute to the diagnosis of pediatric epilepsy patients and may change their clinical management with regard to both preventing unnecessary and potentially harmful diagnostic procedures and management. Thus, the present data support the early implementation in order to adopt clinical management in selected cases and prevent further invasive investigations. Given the relatively small sample size and heterogeneous panels a larger prospective study with more homogeneous panels would be helpful to further determine the impact of NGS on clinical decision making.
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Affiliation(s)
- Hannes Hoelz
- Department of Pediatric Neurology, Developmental Medicine and Social Pediatrics, Dr von Hauner Children's Hospital, Ludwig-Maximilians-University, Munich, Germany
| | - Christian Herdl
- Department of Pediatric Neurology, Developmental Medicine and Social Pediatrics, Dr von Hauner Children's Hospital, Ludwig-Maximilians-University, Munich, Germany
| | - Lucia Gerstl
- Department of Pediatric Neurology, Developmental Medicine and Social Pediatrics, Dr von Hauner Children's Hospital, Ludwig-Maximilians-University, Munich, Germany
| | - Moritz Tacke
- Department of Pediatric Neurology, Developmental Medicine and Social Pediatrics, Dr von Hauner Children's Hospital, Ludwig-Maximilians-University, Munich, Germany
| | - Katharina Vill
- Department of Pediatric Neurology, Developmental Medicine and Social Pediatrics, Dr von Hauner Children's Hospital, Ludwig-Maximilians-University, Munich, Germany
| | - Celina von Stuelpnagel
- Department of Pediatric Neurology, Developmental Medicine and Social Pediatrics, Dr von Hauner Children's Hospital, Ludwig-Maximilians-University, Munich, Germany.,Paracelsus Medical University, Salzburg, Austria
| | - Imma Rost
- Zentrum für Humangenetik und Laboratoriumsdiagnostik Dr. Klein Dr. Rost und Kollegen, Martinsried, Germany
| | | | - Angela Abicht
- Friedrich-Baur-Institute, Department of Neurology, Ludwig-Maximilians-University, Munich, Germany.,Medical Genetics Center-MGZ, Munich, Germany
| | - Sebastian Hollizeck
- Department of Pediatrics, Dr. von Hauner Children's Hospital, Department of Pediatrics, Ludwig-Maximilians-University, Munich, Germany
| | | | - Ingo Borggraefe
- Department of Pediatric Neurology, Developmental Medicine and Social Pediatrics, Dr von Hauner Children's Hospital, Ludwig-Maximilians-University, Munich, Germany.,Epilepsy Center (Pediatric Section), Ludwig-Maximilians-University, Munich, Germany
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596
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Kuersten M, Tacke M, Gerstl L, Hoelz H, Stülpnagel CV, Borggraefe I. Antiepileptic therapy approaches in KCNQ2 related epilepsy: A systematic review. Eur J Med Genet 2020; 63:103628. [PMID: 30771507 DOI: 10.1016/j.ejmg.2019.02.001] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Revised: 02/04/2019] [Accepted: 02/10/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND KCNQ2 related disorders comprise both benign seizure disorders and early onset epileptic encephalopathies. Especially within the latter group, patients suffer from refractory seizures to standard antiepileptic drugs and developmental delay. Besides the hope of personalized medical approaches to treat the recently unraveled large amount of genetic channelopathies, there are sparse systematic data on treatment responses in KCNQ2 related epilepsy in larger cohorts. METHODS We searched PubMed using the free text term search 'KCNQ2 AND Epilepsy' and identified additional records using PubMed Medical Subject Headings (MeSH). Based on patients' clinical information about their therapy they were assigned to one of four groups: 'seizure freedom', 'responder', 'successful therapy', and 'unsuccessful therapy'. RESULTS Out of 52 studies, 217 subjects were eligible for further data analyses. 133 patients were classified as 'benign' seizure disorders whereas 84 patients were classified as 'Early Onset Epileptic Encephalopathy (EOEE)'. In the 'benign' group, 92.5% of patients became seizure free while 3.8% did not respond to treatment. In contrast 65.5% of patients in the 'EOEE' group were reported seizure free, while 14.3% showed no treatment success (p = 0.003). Spontaneous seizure remission (without medication) was 30.1% in the 'benign' group. Phenobarbital and sodium channel blockers most often lead to seizure freedom in patients with a 'benign' course. In patients with 'EOEE' seizure freedom was more likely achieved when receiving sodium channel blockers. CONCLUSIONS Seizures associated with mutations within the voltage gated potassium channel KCNQ2 are well controlled by medical treatment in patients with 'benign' courses and moderately well in patients with the 'EOEE' group. A significant number of patients in the 'benign' group may experience seizure freedom spontaneously. Phenobarbital might be considered in benign courses, while sodium channel blockers seem appropriate for both 'benign' and 'EOEE' patients.
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Affiliation(s)
- M Kuersten
- Division of Pediatric Neurology, Developmental Medicine and Social Pediatrics, Dr. von Haunersches Children's Hospital, LMU Munich, Lindwurmstraße4, 80337, Munich, Germany
| | - M Tacke
- Division of Pediatric Neurology, Developmental Medicine and Social Pediatrics, Dr. von Haunersches Children's Hospital, LMU Munich, Lindwurmstraße4, 80337, Munich, Germany; Comprehensive Epilepsy Center for Children, Adolescents and Adults, LMU Munich, Lindwurmstraße 4, 80337, Munich, Germany
| | - L Gerstl
- Division of Pediatric Neurology, Developmental Medicine and Social Pediatrics, Dr. von Haunersches Children's Hospital, LMU Munich, Lindwurmstraße4, 80337, Munich, Germany; Comprehensive Epilepsy Center for Children, Adolescents and Adults, LMU Munich, Lindwurmstraße 4, 80337, Munich, Germany
| | - H Hoelz
- Division of Pediatric Neurology, Developmental Medicine and Social Pediatrics, Dr. von Haunersches Children's Hospital, LMU Munich, Lindwurmstraße4, 80337, Munich, Germany; Comprehensive Epilepsy Center for Children, Adolescents and Adults, LMU Munich, Lindwurmstraße 4, 80337, Munich, Germany
| | - C V Stülpnagel
- Division of Pediatric Neurology, Developmental Medicine and Social Pediatrics, Dr. von Haunersches Children's Hospital, LMU Munich, Lindwurmstraße4, 80337, Munich, Germany; Paracelsus Medical University, Salzburg, Austria; Comprehensive Epilepsy Center for Children, Adolescents and Adults, LMU Munich, Lindwurmstraße 4, 80337, Munich, Germany
| | - I Borggraefe
- Division of Pediatric Neurology, Developmental Medicine and Social Pediatrics, Dr. von Haunersches Children's Hospital, LMU Munich, Lindwurmstraße4, 80337, Munich, Germany; Comprehensive Epilepsy Center for Children, Adolescents and Adults, LMU Munich, Lindwurmstraße 4, 80337, Munich, Germany.
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597
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Zhang L, Bhaskaran SP, Huang T, Dong H, Chandratre K, Wu X, Qin Z, Wang X, Cao W, Chen T, Lynch H, Wang SM. Variants of DNA mismatch repair genes derived from 33,998 Chinese individuals with and without cancer reveal their highly ethnic-specific nature. Eur J Cancer 2020; 125:12-21. [DOI: 10.1016/j.ejca.2019.11.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 10/21/2019] [Accepted: 11/01/2019] [Indexed: 01/01/2023]
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598
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Scott AD, Huang KL, Weerasinghe A, Mashl RJ, Gao Q, Martins Rodrigues F, Wyczalkowski MA, Ding L. CharGer: clinical Characterization of Germline variants. Bioinformatics 2019; 35:865-867. [PMID: 30102335 DOI: 10.1093/bioinformatics/bty649] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Revised: 06/24/2018] [Accepted: 08/08/2018] [Indexed: 11/12/2022] Open
Abstract
SUMMARY CharGer (Characterization of Germline variants) is a software tool for interpreting and predicting clinical pathogenicity of germline variants. CharGer gathers evidence from databases and annotations, provided by local tools and files or via ReST APIs, and classifies variants according to ACMG guidelines for assessing variant pathogenicity. User-designed pathogenicity criteria can be incorporated into CharGer's flexible framework, thereby allowing users to create a customized classification protocol. AVAILABILITY AND IMPLEMENTATION Source code is freely available at https://github.com/ding-lab/CharGer and is distributed under the GNU GPL-v3.0 license. Software is also distributed through the Python Package Index (PyPI) repository. CharGer is implemented in Python 2.7 and is supported on Unix-based operating systems. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Adam D Scott
- Oncology Division, Washington University School of Medicine, St. Louis, MO, USA.,McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Kuan-Lin Huang
- Oncology Division, Washington University School of Medicine, St. Louis, MO, USA.,McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Amila Weerasinghe
- Oncology Division, Washington University School of Medicine, St. Louis, MO, USA.,McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - R Jay Mashl
- Oncology Division, Washington University School of Medicine, St. Louis, MO, USA.,McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Qingsong Gao
- Oncology Division, Washington University School of Medicine, St. Louis, MO, USA.,McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Fernanda Martins Rodrigues
- Oncology Division, Washington University School of Medicine, St. Louis, MO, USA.,McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Matthew A Wyczalkowski
- Oncology Division, Washington University School of Medicine, St. Louis, MO, USA.,McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Li Ding
- Oncology Division, Washington University School of Medicine, St. Louis, MO, USA.,McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA.,Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.,Siteman Cancer Center, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
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Oliver J, Quezada Urban R, Franco Cortés CA, Díaz Velásquez CE, Montealegre Paez AL, Pacheco-Orozco RA, Castro Rojas C, García-Robles R, López Rivera JJ, Gaitán Chaparro S, Gómez AM, Suarez Obando F, Giraldo G, Maya MI, Hurtado-Villa P, Sanchez AI, Serrano N, Orduz Galvis AI, Aruachan S, Nuñez Castillo J, Frecha C, Riggi C, Jauk F, Gómez García EM, Carranza CL, Zamora V, Torres Mejía G, Romieu I, Castañeda CA, Castillo M, Gitler R, Antoniano A, Rojas Jiménez E, Romero Cruz LE, Vallejo Lecuona F, Delgado Enciso I, Martínez Rizo AB, Flores Carranza A, Benites Godinez V, Méndez Catalá CF, Herrera LA, Chirino YI, Terrazas LI, Perdomo S, Vaca Paniagua F. Latin American Study of Hereditary Breast and Ovarian Cancer LACAM: A Genomic Epidemiology Approach. Front Oncol 2019; 9:1429. [PMID: 31921681 PMCID: PMC6933010 DOI: 10.3389/fonc.2019.01429] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Accepted: 12/02/2019] [Indexed: 12/29/2022] Open
Abstract
Purpose: Hereditary Breast and Ovarian Cancer (HBOC) syndrome is responsible for ~5-10% of all diagnosed breast and ovarian cancers. Breast cancer is the most common malignancy and the leading cause of cancer-related mortality among women in Latin America (LA). The main objective of this study was to develop a comprehensive understanding of the genomic epidemiology of HBOC throughout the establishment of The Latin American consortium for HBOC-LACAM, consisting of specialists from 5 countries in LA and the description of the genomic results from the first phase of the study. Methods: We have recruited 403 individuals that fulfilled the criteria for HBOC from 11 health institutions of Argentina, Colombia, Guatemala, Mexico and Peru. A pilot cohort of 222 individuals was analyzed by NGS gene panels. One hundred forty-three genes were selected on the basis of their putative role in susceptibility to different hereditary cancers. Libraries were sequenced in MiSeq (Illumina, Inc.) and PGM (Ion Torrent-Thermo Fisher Scientific) platforms. Results: The overall prevalence of pathogenic variants was 17% (38/222); the distribution spanned 14 genes and varied by country. The highest relative prevalence of pathogenic variants was found in patients from Argentina (25%, 14/57), followed by Mexico (18%, 12/68), Guatemala (16%, 3/19), and Colombia (13%, 10/78). Pathogenic variants were found in BRCA1 (20%) and BRCA2 (29%) genes. Pathogenic variants were found in other 12 genes, including high and moderate risk genes such as MSH2, MSH6, MUTYH, and PALB2. Additional pathogenic variants were found in HBOC unrelated genes such as DCLRE1C, WRN, PDE11A, and PDGFB. Conclusion: In this first phase of the project, we recruited 403 individuals and evaluated the germline genetic alterations in an initial cohort of 222 patients among 4 countries. Our data show for the first time in LA the distribution of pathogenic variants in a broad set of cancer susceptibility genes in HBOC. Even though we used extended gene panels, there was still a high proportion of patients without any detectable pathogenic variant, which emphasizes the larger, unexplored genetic nature of the disease in these populations.
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Affiliation(s)
- Javier Oliver
- Medical Oncology Service, Hospitales Universitarios Regional y Virgen de la Victoria, Institute of Biomedical Research in Malaga, CIMES, University of Málaga, Málaga, Spain
- Laboratorio de Secuenciación, Instituto de Medicina Traslacional e Ingeniería Biomédica, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla de Baz, Mexico
| | - Rosalía Quezada Urban
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla de Baz, Mexico
- Unidad de Biomedicina, Facultad de Estudios Superiores Iztacala, UNAM, Tlalnepantla de Baz, Mexico
| | - Claudia Alejandra Franco Cortés
- Laboratorio de Secuenciación, Instituto de Medicina Traslacional e Ingeniería Biomédica, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | - Clara Estela Díaz Velásquez
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla de Baz, Mexico
| | - Ana Lorena Montealegre Paez
- Instituto de Nutrición, Genética y Metabolismo, Facultad de Medicina, Universidad El Bosque, Bogota, Colombia
| | | | - Carlos Castro Rojas
- Instituto de Nutrición, Genética y Metabolismo, Facultad de Medicina, Universidad El Bosque, Bogota, Colombia
| | - Reggie García-Robles
- Instituto de Nutrición, Genética y Metabolismo, Facultad de Medicina, Universidad El Bosque, Bogota, Colombia
| | - Juan Javier López Rivera
- Grupo INPAC, Organización Keralty, Departamento de Genética, Clínica Universitaria Colombia, Bogotá, Colombia
| | - Sandra Gaitán Chaparro
- Grupo INPAC, Organización Keralty, Facultad de Medicina, Fundación Universitaria Sanitas, Bogotá, Colombia
| | - Ana Milena Gómez
- Servicio de Genética, Hospital Universitario San Ignacio, Bogotá, Colombia
| | - Fernando Suarez Obando
- Servicio de Genética, Hospital Universitario San Ignacio, Bogotá, Colombia
- Instituto de Genética Humana, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Gustavo Giraldo
- Clínica Universitaria Bolivariana, Pontificia Universidad Bolivariana, Medellín, Colombia
| | - Maria Isabel Maya
- Clínica Universitaria Bolivariana, Pontificia Universidad Bolivariana, Medellín, Colombia
| | - Paula Hurtado-Villa
- Departamento Ciencias Básicas de Salud, Facultad de Ciencias de la Salud, Pontificia Universidad Javeriana Cali, Cali, Colombia
- Centro Médico Imbanaco, Cali, Colombia
| | - Ana Isabel Sanchez
- Centro Médico Imbanaco, Cali, Colombia
- Departamento Materno Infantil, Facultad de Ciencias de la Salud, Pontificia Universidad Javeriana Cali, Cali, Colombia
| | - Norma Serrano
- Fundación Cardiovascular de Colombia, Centro de Investigaciones, Floridablanca, Colombia
| | | | - Sandra Aruachan
- Departamento de Investigación y Estudios Clínicos, IMAT - Oncomédica S.A., Montería, Colombia
| | - Johanna Nuñez Castillo
- Departamento de Investigación y Estudios Clínicos, IMAT - Oncomédica S.A., Montería, Colombia
| | - Cecilia Frecha
- Instituto de Medicina Traslacional e Ingeniería Biomédica, CONICET-Instituto Universitario del Hospital Italiano-Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | - Cecilia Riggi
- Servicio de Ginecología, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | - Federico Jauk
- Laboratorio de Secuenciación, Instituto de Medicina Traslacional e Ingeniería Biomédica, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | | | | | | | | | - Isabelle Romieu
- Instituto Nacional de Salud Pública, Cuernavaca, Mexico
- Hubert Department of Global Health, Emory University, Atlanta, GA, United States
| | - Carlos Arturo Castañeda
- Departamento de Oncología Médica, Instituto Nacional de Enfermedades Neoplásicas, Lima, Peru
| | - Miluska Castillo
- Departamento de Investigación, Instituto Nacional de Enfermedades Neoplásicas, Lima, Peru
| | | | | | - Ernesto Rojas Jiménez
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla de Baz, Mexico
- Unidad de Biomedicina, Facultad de Estudios Superiores Iztacala, UNAM, Tlalnepantla de Baz, Mexico
| | - Luis Enrique Romero Cruz
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla de Baz, Mexico
- Unidad de Biomedicina, Facultad de Estudios Superiores Iztacala, UNAM, Tlalnepantla de Baz, Mexico
| | - Fernando Vallejo Lecuona
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla de Baz, Mexico
- Unidad de Biomedicina, Facultad de Estudios Superiores Iztacala, UNAM, Tlalnepantla de Baz, Mexico
| | | | | | | | | | - Claudia Fabiola Méndez Catalá
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla de Baz, Mexico
| | - Luis Alonso Herrera
- Unidad de Investigación Biomédica en Cáncer, Instituto de Investigaciones Biomédicas-Instituto Nacional de Cancerología, Ciudad de México, Mexico
| | - Yolanda Irasema Chirino
- Unidad de Biomedicina, Facultad de Estudios Superiores Iztacala, UNAM, Tlalnepantla de Baz, Mexico
| | - Luis Ignacio Terrazas
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla de Baz, Mexico
- Unidad de Biomedicina, Facultad de Estudios Superiores Iztacala, UNAM, Tlalnepantla de Baz, Mexico
| | - Sandra Perdomo
- Instituto de Nutrición, Genética y Metabolismo, Facultad de Medicina, Universidad El Bosque, Bogota, Colombia
- Departamento de Patología, Hospital Universitario Fundación Santa Fe de Bogotá, Bogota, Colombia
| | - Felipe Vaca Paniagua
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla de Baz, Mexico
- Unidad de Biomedicina, Facultad de Estudios Superiores Iztacala, UNAM, Tlalnepantla de Baz, Mexico
- Instituto Nacional de Cancerología, Ciudad de México, Mexico
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Li S, Zhang J, Cao Y, You Y, Zhao X. Novel mutations identified in Chinese families with autosomal dominant congenital cataracts by targeted next-generation sequencing. BMC MEDICAL GENETICS 2019; 20:196. [PMID: 31842807 PMCID: PMC6915918 DOI: 10.1186/s12881-019-0933-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 12/01/2019] [Indexed: 11/18/2022]
Abstract
Background Congenital cataract is a clinically and genetically heterogeneous visual impairment. The aim of this study was to identify causative mutations in five unrelated Chinese families diagnosed with congenital cataracts. Methods Detailed family history and clinical data were collected, and ophthalmological examinations were performed using slit-lamp photography. Genomic DNA was extracted from peripheral blood of all available members. Thirty-eight genes associated with cataract were captured and sequenced in 5 typical nonsyndromic congenital cataract probands by targeted next-generation sequencing (NGS), and the results were confirmed by Sanger sequencing. Bioinformatics analysis was performed to predict the functional effect of mutant genes. Results Results from the DNA sequencing revealed five potential causative mutations: c.154 T > C(p.F52 L) in GJA8 of Family 1, c.1152_1153insG(p.S385Efs*83) in GJA3 of Family 2, c.1804 G > C(p.G602R) in BFSP1 of Family 3, c.1532C > T(p.T511 M) in EPHA2 of Family 4 and c.356G > A(p.R119H) in HSF4 of Family 5. These mutations co-segregated with all affected individuals in the families and were not found in unaffected family members nor in 50 controls. Bioinformatics analysis from several prediction tools supported the possible pathogenicity of these mutations. Conclusions In this study, we identified five novel mutations (c.154 T > C in GJA8, c.1152_1153insG in GJA3, c.1804G > C in BFSP1, c.1532C > T in EPHA2, c.356G > A in HSF4) in five Chinese families with hereditary cataracts, respectively. NGS can be used as an effective tool for molecular diagnosis of genetically heterogeneous disorders such as congenital cataract, and the results can provide more effective clinical diagnosis and genetic counseling for the five families.
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Affiliation(s)
- Shan Li
- Department of Medical Genetics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences - School of Basic Medicine Peking Union Medical College, 5 Dong Dan San Tiao, Dongcheng District, Beijing, 100005, People's Republic of China
| | - Jianfei Zhang
- The No.4 hospital (eye hospital) of Zhangjiakou, Zhangjiakou, 075000, People's Republic of China
| | - Yixuan Cao
- Department of Medical Genetics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences - School of Basic Medicine Peking Union Medical College, 5 Dong Dan San Tiao, Dongcheng District, Beijing, 100005, People's Republic of China
| | - Yi You
- Department of Medical Genetics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences - School of Basic Medicine Peking Union Medical College, 5 Dong Dan San Tiao, Dongcheng District, Beijing, 100005, People's Republic of China
| | - Xiuli Zhao
- Department of Medical Genetics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences - School of Basic Medicine Peking Union Medical College, 5 Dong Dan San Tiao, Dongcheng District, Beijing, 100005, People's Republic of China.
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