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Shi Y, Zheng FX, Wang J, Zhou Q, Chen YP, Zhang B. Noninvasive prenatal testing for the detection of fetal chromosome 17 microduplication: clinical implications and findings. Mol Cytogenet 2024; 17:10. [PMID: 38644482 PMCID: PMC11034082 DOI: 10.1186/s13039-024-00674-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 03/02/2024] [Indexed: 04/23/2024] Open
Abstract
BACKGROUND Noninvasive prenatal testing (NIPT) is widely used to screen for fetal aneuploidies. However, there are few reports of using NIPT for screening chromosomal microduplications and microdeletions. This study aimed to investigate the application efficiency of NIPT for detecting chromosomal microduplications. METHODS Four cases of copy number gains on the long arm of chromosome 17 (17q12) were detected using NIPT and further confirmed using copy number variation (CNV) analysis based on chromosome microarray analysis (CMA). RESULTS The prenatal diagnosis CMA results of the three cases showed that the microduplications in 17q12 (ranging from 1.5 to 1.9 Mb) were consistent with the NIPT results. The karyotypic analysis excluded other possible unbalanced rearrangements. The positive predictive value of NIPT for detecting chromosomal 17q12 microduplication was 75.0%. CONCLUSIONS NIPT has a good screening effect on 17q12 syndrome through prenatal diagnosis, therefore it could be considered for screening fetal CNV during the second trimester. With the clinical application of NIPT, invasive prenatal diagnoses could be effectively reduced while also improving the detection rate of fetal CNV.
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Affiliation(s)
- Ye Shi
- Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, China No. 16 Ding Xiang Road, Changzhou, 213003, Jiangsu Province, China
| | - Fang-Xiu Zheng
- Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, China No. 16 Ding Xiang Road, Changzhou, 213003, Jiangsu Province, China
| | - Jing Wang
- Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, China No. 16 Ding Xiang Road, Changzhou, 213003, Jiangsu Province, China
| | - Qin Zhou
- Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, China No. 16 Ding Xiang Road, Changzhou, 213003, Jiangsu Province, China
| | - Ying-Ping Chen
- Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, China No. 16 Ding Xiang Road, Changzhou, 213003, Jiangsu Province, China
| | - Bin Zhang
- Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, China No. 16 Ding Xiang Road, Changzhou, 213003, Jiangsu Province, China.
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2
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Kuznetsova KG, Vašíček J, Skiadopoulou D, Molnes J, Udler M, Johansson S, Njølstad PR, Manning A, Vaudel M. Bioinformatics pipeline for the systematic mining genomic and proteomic variation linked to rare diseases: The example of monogenic diabetes. PLoS One 2024; 19:e0300350. [PMID: 38635808 PMCID: PMC11025945 DOI: 10.1371/journal.pone.0300350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 02/23/2024] [Indexed: 04/20/2024] Open
Abstract
Monogenic diabetes is characterized as a group of diseases caused by rare variants in single genes. Like for other rare diseases, multiple genes have been linked to monogenic diabetes with different measures of pathogenicity, but the information on the genes and variants is not unified among different resources, making it challenging to process them informatically. We have developed an automated pipeline for collecting and harmonizing data on genetic variants linked to monogenic diabetes. Furthermore, we have translated variant genetic sequences into protein sequences accounting for all protein isoforms and their variants. This allows researchers to consolidate information on variant genes and proteins linked to monogenic diabetes and facilitates their study using proteomics or structural biology. Our open and flexible implementation using Jupyter notebooks enables tailoring and modifying the pipeline and its application to other rare diseases.
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Affiliation(s)
- Ksenia G. Kuznetsova
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway
| | - Jakub Vašíček
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway
| | - Dafni Skiadopoulou
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway
| | - Janne Molnes
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Miriam Udler
- Department of Medicine, Massachusetts General Hospital, Boston, MA, United States of America
- Metabolism Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States of America
- Department of Medicine, Harvard Medical School, Boston, MA, United States of America
| | - Stefan Johansson
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Pål Rasmus Njølstad
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | - Alisa Manning
- Department of Medicine, Massachusetts General Hospital, Boston, MA, United States of America
- Metabolism Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States of America
- Department of Medicine, Harvard Medical School, Boston, MA, United States of America
| | - Marc Vaudel
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway
- Department of Genetics and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway
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3
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Guitart X, Porubsky D, Yoo D, Dougherty ML, Dishuck PC, Munson KM, Lewis AP, Hoekzema K, Knuth J, Chang S, Pastinen T, Eichler EE. Independent expansion, selection and hypervariability of the TBC1D3 gene family in humans. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.12.584650. [PMID: 38654825 PMCID: PMC11037872 DOI: 10.1101/2024.03.12.584650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
TBC1D3 is a primate-specific gene family that has expanded in the human lineage and has been implicated in neuronal progenitor proliferation and expansion of the frontal cortex. The gene family and its expression have been challenging to investigate because it is embedded in high-identity and highly variable segmental duplications. We sequenced and assembled the gene family using long-read sequencing data from 34 humans and 11 nonhuman primate species. Our analysis shows that this particular gene family has independently duplicated in at least five primate lineages, and the duplicated loci are enriched at sites of large-scale chromosomal rearrangements on chromosome 17. We find that most humans vary along two TBC1D3 clusters where human haplotypes are highly variable in copy number, differing by as many as 20 copies, and structure (structural heterozygosity 90%). We also show evidence of positive selection, as well as a significant change in the predicted human TBC1D3 protein sequence. Lastly, we find that, despite multiple duplications, human TBC1D3 expression is limited to a subset of copies and, most notably, from a single paralog group: TBC1D3-CDKL. These observations may help explain why a gene potentially important in cortical development can be so variable in the human population.
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Affiliation(s)
- Xavi Guitart
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - DongAhn Yoo
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Max L. Dougherty
- Tisch Cancer Institute, Division of Hematology and Medical Oncology, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Philip C. Dishuck
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Katherine M. Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Alexandra P. Lewis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Kendra Hoekzema
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Jordan Knuth
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Stephen Chang
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University, Stanford, CA, USA
| | - Tomi Pastinen
- Department of Pediatrics, Genomic Medicine Center, Children’s Mercy Kansas City, Kansas City, MO, USA
- Department of Pediatrics, School of Medicine, University of Missouri Kansas City, Kansas City, MO, USA
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical institute, University of Washington, Seattle, WA, USA
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4
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Mitrovic K, Zivotic I, Kolic I, Zakula J, Zivkovic M, Stankovic A, Jovanovic I. A preliminary study of the miRNA restitution effect on CNV-induced miRNA downregulation in CAKUT. BMC Genomics 2024; 25:218. [PMID: 38413914 PMCID: PMC10900603 DOI: 10.1186/s12864-024-10121-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 02/14/2024] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND The majority of CAKUT-associated CNVs overlap at least one miRNA gene, thus affecting the cellular levels of the corresponding miRNA. We aimed to investigate the potency of restitution of CNV-affected miRNA levels to remediate the dysregulated expression of target genes involved in kidney physiology and development in vitro. METHODS Heterozygous MIR484 knockout HEK293 and homozygous MIR185 knockout HEK293 cell lines were used as models depicting the deletion of the frequently affected miRNA genes by CAKUT-associated CNVs. After treatment with the corresponding miRNA mimics, the levels of the target genes have been compared to the non-targeting control treatment. For both investigated miRNAs, MDM2 and PKD1 were evaluated as common targets, while additional 3 genes were investigated as targets of each individual miRNA (NOTCH3, FIS1 and APAF1 as hsa-miR-484 targets and RHOA, ATF6 and CDC42 as hsa-miR-185-5p targets). RESULTS Restitution of the corresponding miRNA levels in both knockout cell lines has induced a change in the mRNA levels of certain candidate target genes, thus confirming the potential to alleviate the CNV effect on miRNA expression. Intriguingly, HEK293 WT treatment with investigated miRNA mimics has triggered a more pronounced effect, thus suggesting the importance of miRNA interplay in different genomic contexts. CONCLUSIONS Dysregulation of multiple mRNA targets mediated by CNV-affected miRNAs could represent the underlying mechanism behind the unresolved CAKUT occurrence and phenotypic variability observed in CAKUT patients. Characterizing miRNAs located in CNVs and their potential to become molecular targets could eventually help in understanding and improving the management of CAKUT.
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Affiliation(s)
- Kristina Mitrovic
- Department of Radiobiology and Molecular Genetics, "Vinča" Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, 11001, Belgrade, P.O. Box 522, Serbia
| | - Ivan Zivotic
- Department of Radiobiology and Molecular Genetics, "Vinča" Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, 11001, Belgrade, P.O. Box 522, Serbia
| | - Ivana Kolic
- Department of Radiobiology and Molecular Genetics, "Vinča" Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, 11001, Belgrade, P.O. Box 522, Serbia
| | - Jelena Zakula
- Department of Molecular Biology and Endocrinology, "Vinča" Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, 11001, Belgrade, P.O. Box 522, Serbia
| | - Maja Zivkovic
- Department of Radiobiology and Molecular Genetics, "Vinča" Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, 11001, Belgrade, P.O. Box 522, Serbia
| | - Aleksandra Stankovic
- Department of Radiobiology and Molecular Genetics, "Vinča" Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, 11001, Belgrade, P.O. Box 522, Serbia
| | - Ivan Jovanovic
- Department of Radiobiology and Molecular Genetics, "Vinča" Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, 11001, Belgrade, P.O. Box 522, Serbia.
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5
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Kang H, Chen Y, Wang L, Gao C, Li X, Hu Y. Pathogenic recurrent copy number variants in 7,078 pregnancies via chromosomal microarray analysis. J Perinat Med 2024; 52:171-180. [PMID: 38081620 DOI: 10.1515/jpm-2022-0580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 09/30/2023] [Indexed: 02/09/2024]
Abstract
OBJECTIVES To investigate the incidence of pathogenic recurrent CNVs in fetuses with different referral indications and review the intrauterine phenotypic features of each CNV. METHODS A total of 7,078 amniotic fluid samples were collected for chromosome microarray analysis (CMA) and cases carrying pathogenic recurrent CNVs were further studied. RESULTS The highest incidence of pathogenic recurrent CNVs was 2.25 % in fetal ultrasound anomalies (FUA) group. Moreover, regardless of other indications, pregnant women with advanced maternal age have a lower incidence compared with whom less than 35 years old (p<0.05). In total 1.17 % (83/7,078) samples carried pathogenic recurrent CNVs: 20 cases with 22q11.2 recurrent region (12 microdeletion and eight microduplication), 11 with 1q21.1 (five microdeletion and six microduplication) and 16p13.11 (four microdeletion and seven microduplication), 10 with 15q11.2 recurrent microdeletion, seven with Xp22.31 recurrent microdeletion and 16p11.2 (three microdeletion and four microduplication), four with 7q11.23 (two microdeletion and two microduplication), three with 17p11.2 (three microdeletion), 17p12 (two microdeletion and one microduplication) and 17q12 (two microdeletion and one microduplication). The rest ones were rare in this study. CONCLUSIONS Pathogenic recurrent CNVs are more likely to be identified in FUA group. Pregnant women with advanced maternal age have a lower incidence of pathogenic recurrent CNVs. The profile of pathogenic recurrent CNVs between prenatal and postnatal is different, especially in 22q11.2, 1q21.1, 15q13.3 recurrent region and 15q11.2 deletion.
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Affiliation(s)
- Han Kang
- Prenatal Diagnosis Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, P.R. China
| | - Yifei Chen
- Prenatal Diagnosis Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, P.R. China
| | - Lingxi Wang
- Prenatal Diagnosis Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, P.R. China
| | - Chonglan Gao
- Prenatal Diagnosis Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, P.R. China
| | - Xingyu Li
- Prenatal Diagnosis Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, P.R. China
| | - Yu Hu
- Prenatal Diagnosis Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, P.R. China
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6
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Verscaj CP, Velez-Bartolomei F, Bodle E, Chan K, Lyons MJ, Thorson W, Tan WH, Rodig N, Graham JM, Peron A, Quintero-Rivera F, Zackai EH, Thomas MA, Stevens CA, Adam MP, Bird LM, Jones MC, Matalon DR. Characterization of the prenatal renal phenotype associated with 17q12, HNF1B, microdeletions. Prenat Diagn 2024; 44:237-246. [PMID: 37632214 DOI: 10.1002/pd.6424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 08/05/2023] [Accepted: 08/09/2023] [Indexed: 08/27/2023]
Abstract
OBJECTIVE Recurrent deletions involving 17q12 are associated with a variety of clinical phenotypes, including congenital abnormalities of the kidney and urinary tract (CAKUT), maturity onset diabetes of the young, type 5, and neurodevelopmental disorders. Structural and/or functional renal disease is the most common phenotypic feature, although the prenatal renal phenotypes and the postnatal correlates have not been well characterized. METHOD We reviewed pre- and postnatal medical records of 26 cases with prenatally or postnatally identified 17q12/HNF1B microdeletions (by chromosomal microarray or targeted gene sequencing), obtained through a multicenter collaboration. We specifically evaluated 17 of these cases (65%) with reported prenatal renal ultrasound findings. RESULTS Heterogeneous prenatal renal phenotypes were noted, most commonly renal cysts (41%, n = 7/17) and echogenic kidneys (41%), although nonspecific dysplasia, enlarged kidneys, hydronephrosis, pelvic kidney with hydroureter, and lower urinary tract obstruction were also reported. Postnatally, most individuals developed renal cysts (73%, 11/15 live births), and there were no cases of end-stage renal disease during childhood or the follow-up period. CONCLUSION Our findings demonstrate that copy number variant analysis to assess for 17q12 microdeletion should be considered for a variety of prenatally detected renal anomalies. It is important to distinguish 17q12 microdeletion from other etiologies of CAKUT as the prognosis for renal function and presence of associated findings are distinct and may influence pregnancy and postnatal management.
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Affiliation(s)
| | | | - Ethan Bodle
- Stanford University, Palo Alto, California, USA
| | - Katie Chan
- Stanford University, Palo Alto, California, USA
| | | | - Willa Thorson
- University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Wen-Hann Tan
- Boston Children's Hospital, Boston, Massachusetts, USA
| | - Nancy Rodig
- Boston Children's Hospital, Boston, Massachusetts, USA
| | - John M Graham
- Department of Pediatrics, Cedars-Sinai Medical Center, David Geffen School of Medicine, Los Angeles, California, USA
| | - Angela Peron
- Medical Genetics, ASST Santi Paolo e Carlo, San Paolo Hospital, Milan, Italy
| | - Fabiola Quintero-Rivera
- Departments of Pathology, Laboratory Medicine, and Pediatrics, Division of Genetic and Genomic Medicine School of Medicine, University of California Irvine, Irvine, California, USA
| | - Elaine H Zackai
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Mary Ann Thomas
- Departments of Medical Genetics and Pediatrics, University of Calgary, Calgary, Alberta, Canada
| | - Cathy A Stevens
- Department of Pediatrics, University of Tennessee College of Medicine, Chattanooga, Tennessee, USA
| | | | - Lynne M Bird
- Department of Pediatrics, University of California San Diego and Rady Children's Hospital, San Diego, California, USA
| | - Marilyn C Jones
- Department of Pediatrics, University of California San Diego and Rady Children's Hospital, San Diego, California, USA
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7
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Auwerx C, Jõeloo M, Sadler MC, Tesio N, Ojavee S, Clark CJ, Mägi R, Reymond A, Kutalik Z. Rare copy-number variants as modulators of common disease susceptibility. Genome Med 2024; 16:5. [PMID: 38185688 PMCID: PMC10773105 DOI: 10.1186/s13073-023-01265-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 11/27/2023] [Indexed: 01/09/2024] Open
Abstract
BACKGROUND Copy-number variations (CNVs) have been associated with rare and debilitating genomic disorders (GDs) but their impact on health later in life in the general population remains poorly described. METHODS Assessing four modes of CNV action, we performed genome-wide association scans (GWASs) between the copy-number of CNV-proxy probes and 60 curated ICD-10 based clinical diagnoses in 331,522 unrelated white British UK Biobank (UKBB) participants with replication in the Estonian Biobank. RESULTS We identified 73 signals involving 40 diseases, all of which indicating that CNVs increased disease risk and caused earlier onset. We estimated that 16% of these associations are indirect, acting by increasing body mass index (BMI). Signals mapped to 45 unique, non-overlapping regions, nine of which being linked to known GDs. Number and identity of genes affected by CNVs modulated their pathogenicity, with many associations being supported by colocalization with both common and rare single-nucleotide variant association signals. Dissection of association signals provided insights into the epidemiology of known gene-disease pairs (e.g., deletions in BRCA1 and LDLR increased risk for ovarian cancer and ischemic heart disease, respectively), clarified dosage mechanisms of action (e.g., both increased and decreased dosage of 17q12 impacted renal health), and identified putative causal genes (e.g., ABCC6 for kidney stones). Characterization of the pleiotropic pathological consequences of recurrent CNVs at 15q13, 16p13.11, 16p12.2, and 22q11.2 in adulthood indicated variable expressivity of these regions and the involvement of multiple genes. Finally, we show that while the total burden of rare CNVs-and especially deletions-strongly associated with disease risk, it only accounted for ~ 0.02% of the UKBB disease burden. These associations are mainly driven by CNVs at known GD CNV regions, whose pleiotropic effect on common diseases was broader than anticipated by our CNV-GWAS. CONCLUSIONS Our results shed light on the prominent role of rare CNVs in determining common disease susceptibility within the general population and provide actionable insights for anticipating later-onset comorbidities in carriers of recurrent CNVs.
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Affiliation(s)
- Chiara Auwerx
- Center for Integrative Genomics, University of Lausanne, Genopode building, 1015, Lausanne, Switzerland.
- Department of Computational Biology, University of Lausanne, Genopode building, 1015, Lausanne, Switzerland.
- Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland.
- University Center for Primary Care and Public Health, 1005, Lausanne, Switzerland.
| | - Maarja Jõeloo
- Institute of Molecular and Cell Biology, University of Tartu, 51010, Tartu, Estonia
- Estonian Genome Centre, Institute of Genomics, University of Tartu, 51010, Tartu, Estonia
| | - Marie C Sadler
- Department of Computational Biology, University of Lausanne, Genopode building, 1015, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland
- University Center for Primary Care and Public Health, 1005, Lausanne, Switzerland
| | - Nicolò Tesio
- Center for Integrative Genomics, University of Lausanne, Genopode building, 1015, Lausanne, Switzerland
| | - Sven Ojavee
- Department of Computational Biology, University of Lausanne, Genopode building, 1015, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland
| | - Charlie J Clark
- Center for Integrative Genomics, University of Lausanne, Genopode building, 1015, Lausanne, Switzerland
| | - Reedik Mägi
- Estonian Genome Centre, Institute of Genomics, University of Tartu, 51010, Tartu, Estonia
| | - Alexandre Reymond
- Center for Integrative Genomics, University of Lausanne, Genopode building, 1015, Lausanne, Switzerland.
| | - Zoltán Kutalik
- Department of Computational Biology, University of Lausanne, Genopode building, 1015, Lausanne, Switzerland.
- Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland.
- University Center for Primary Care and Public Health, 1005, Lausanne, Switzerland.
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8
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Chen S, Francioli LC, Goodrich JK, Collins RL, Kanai M, Wang Q, Alföldi J, Watts NA, Vittal C, Gauthier LD, Poterba T, Wilson MW, Tarasova Y, Phu W, Grant R, Yohannes MT, Koenig Z, Farjoun Y, Banks E, Donnelly S, Gabriel S, Gupta N, Ferriera S, Tolonen C, Novod S, Bergelson L, Roazen D, Ruano-Rubio V, Covarrubias M, Llanwarne C, Petrillo N, Wade G, Jeandet T, Munshi R, Tibbetts K, O'Donnell-Luria A, Solomonson M, Seed C, Martin AR, Talkowski ME, Rehm HL, Daly MJ, Tiao G, Neale BM, MacArthur DG, Karczewski KJ. A genomic mutational constraint map using variation in 76,156 human genomes. Nature 2024; 625:92-100. [PMID: 38057664 DOI: 10.1038/s41586-023-06045-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 04/03/2023] [Indexed: 12/08/2023]
Abstract
The depletion of disruptive variation caused by purifying natural selection (constraint) has been widely used to investigate protein-coding genes underlying human disorders1-4, but attempts to assess constraint for non-protein-coding regions have proved more difficult. Here we aggregate, process and release a dataset of 76,156 human genomes from the Genome Aggregation Database (gnomAD)-the largest public open-access human genome allele frequency reference dataset-and use it to build a genomic constraint map for the whole genome (genomic non-coding constraint of haploinsufficient variation (Gnocchi)). We present a refined mutational model that incorporates local sequence context and regional genomic features to detect depletions of variation. As expected, the average constraint for protein-coding sequences is stronger than that for non-coding regions. Within the non-coding genome, constrained regions are enriched for known regulatory elements and variants that are implicated in complex human diseases and traits, facilitating the triangulation of biological annotation, disease association and natural selection to non-coding DNA analysis. More constrained regulatory elements tend to regulate more constrained protein-coding genes, which in turn suggests that non-coding constraint can aid the identification of constrained genes that are as yet unrecognized by current gene constraint metrics. We demonstrate that this genome-wide constraint map improves the identification and interpretation of functional human genetic variation.
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Affiliation(s)
- Siwei Chen
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
| | - Laurent C Francioli
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Julia K Goodrich
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ryan L Collins
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
| | - Masahiro Kanai
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Qingbo Wang
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Jessica Alföldi
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Nicholas A Watts
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Christopher Vittal
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Laura D Gauthier
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Timothy Poterba
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michael W Wilson
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Yekaterina Tarasova
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - William Phu
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
| | - Riley Grant
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Mary T Yohannes
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Zan Koenig
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yossi Farjoun
- Richards Lab, Lady Davis Institute, Montreal, Quebec, Canada
| | - Eric Banks
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Stacey Gabriel
- Broad Genomics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Namrata Gupta
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Broad Genomics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Steven Ferriera
- Broad Genomics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Charlotte Tolonen
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sam Novod
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Louis Bergelson
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - David Roazen
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Miguel Covarrubias
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Nikelle Petrillo
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gordon Wade
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Thibault Jeandet
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ruchi Munshi
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kathleen Tibbetts
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Anne O'Donnell-Luria
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
| | - Matthew Solomonson
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Cotton Seed
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alicia R Martin
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michael E Talkowski
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Heidi L Rehm
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Mark J Daly
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland
| | - Grace Tiao
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Benjamin M Neale
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Daniel G MacArthur
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Centre for Population Genomics, Garvan Institute of Medical Research and UNSW Sydney, Sydney, New South Wales, Australia
- Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Konrad J Karczewski
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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9
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Chen CP, Wu FT, Pan YT, Wu PS, Wang W. Prenatal diagnosis and perinatal findings of 17q12 microdeletion encompassing HNF1B in a fetus with bilateral hyperechogenic kidneys on fetal ultrasound and mild renal abnormality after birth, and a review of the literature of prenatal diagnosis of 17q12 microdeletion. Taiwan J Obstet Gynecol 2024; 63:77-80. [PMID: 38216274 DOI: 10.1016/j.tjog.2023.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/30/2023] [Indexed: 01/14/2024] Open
Abstract
OBJECTIVE We present prenatal diagnosis and perinatal findings of 17q12 microdeletion encompassing HNF1B in a fetus with bilateral hyperechogenic kidneys on fetal ultrasound and mild renal abnormality after birth, and a review of the literature. CASE REPORT A 36-year-old, primigravid woman underwent amniocentesis at 17 weeks of gestation because of advanced maternal age. Simultaneous array comparative genomic hybridization (aCGH) analysis on the DNA extracted from uncultured amniocytes showed a de novo 1.38-Mb 17q12 microdeletion encompassing LHX1 and HNF1B. The parents did not have such a microdeletion. Prenatal ultrasound showed bilateral hyperechogenic kidneys with normal corticomedullary (CM) differentiation. The parents elected to continue the pregnancy, and a grossly normal 3180-g male baby was delivered at 39 weeks of gestation. aCGH analysis on the cord blood DNA revealed arr [GRCh37 (hg19)] 17q12 (34,856,055-36,248,918) × 1.0 with a 1.393-Mb microdeletion encompassing the genes of MYO19, PIGW, GGNBP2, DHRS11, MRM1, LHX1, AATF, ACACA, TADA2A, DUSP14, SYNRG, DDX52 and HNF1B. When follow-up at age 2 years and 4 months, the renal ultrasound revealed bilateral increased renal echogenicity with normal CM differentiation and small left renal cysts. The blood test revealed BUN = 28 mg/dL (normal: 5-18 mg/dL) and creatinine = 0.5 mg/dL (normal: 0.2-0.4 mg/dL). CONCLUSION 17q12 microdeletion encompassing LHX1 and HNF1B at prenatal diagnosis may present variable clinical spectrum with bilateral hyperechogenic kidneys on fetal ultrasound and mild renal abnormality after birth. Prenatal diagnosis of fetal hyperechogenic kidneys should raise a suspicion of 17q12 microdeletion syndrome.
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Affiliation(s)
- Chih-Ping Chen
- Department of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei, Taiwan; Department of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan; School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan; Institute of Clinical and Community Health Nursing, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Obstetrics and Gynecology, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Medical Laboratory Science and Biotechnology, College of Medical and Health Science, Asia University, Taichung, Taiwan.
| | - Fang-Tzu Wu
- Department of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei, Taiwan
| | - Yen-Ting Pan
- Department of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei, Taiwan
| | | | - Wayseen Wang
- Department of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan
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10
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Fistrek Prlic M, Huljev Frkovic S, Beck B, Tonkovic Durisevic I, Bulimbasic S, Coric M, Lamot L, Ivandic E, Vukovic Brinar I. Two sides of the same coin: a complex presentation of autosomal dominant tubulointerstitial kidney diseases: a literature review and case reports. Front Pediatr 2023; 11:1283325. [PMID: 38027261 PMCID: PMC10667683 DOI: 10.3389/fped.2023.1283325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 10/25/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Genetic kidney diseases are underdiagnosed; namely, from 7% to 40% of patients suffering from chronic kidney disease (CKD) can carry a pathogenic variant, depending on population characteristics. Hereditary tubulointerstitial kidney diseases, including autosomal dominant tubulointerstitial kidney diseases (ADTKD), are even more challenging to diagnose. ADTKD is a rare form of genetic kidney disease resulting from pathogenic variants in the MUC1, UMOD, HNF1B, REN, SEC61A1, and DNAJB11 genes. There is no typical clinical or histopathological sign of ADTKD, it is characterized by progressive CKD, an autosomal dominant inheritance pattern, and tubular atrophy with interstitial fibrosis on kidney biopsy. There is no significant proteinuria, and the urinary sediment is bland. The patients usually do not have severe arterial hypertension. There can be a history of early gout, especially when compared to the UMOD gene variants. Children can have enuresis due to a loss of renal concentration. On ultrasound, the kidneys can appear normal or small in size. Renal cysts are not pathognomonic for any of the named diseases. End-stage renal disease (ESRD) develops at the average age of 45, but this can be very variable. Family history that suggests autosomal dominant inheritance and CKD fulfilling the aforementioned characteristics of tubulointerstitial kidney disease should raise suspicion of ADTKD. In the setting of a negative family history for CKD, clinical suspicion should be raised based on clinical characteristics, including early onset of hyperuricemia or gout and compatible histology on the kidney biopsy. Contrary to the aforementioned characteristics of ADTKD, in the case of HNF1B-related disease, there is a more complex clinical presentation with extrarenal manifestations of the disease (diabetes mellitus, hypomagnesemia, neurologic and psychiatric disturbances, etc.). The diagnosis of ADTKD is based on a positive family history and a detection of the pathogenic variant in one of the genes in an affected individual. Aim The aim of our study is to present two case reports of ADTKD with different characteristics (slowly progressive CKD vs. complex clinical presentation with an extrarenal manifestation of the disease) with a literature review. Methods A 34-year-old patient with CKD and a positive family history of CKD in whom kidney biopsy showed nonspecific chronic changes, with only genetic analysis confirming the diagnosis of MUC1-related ADTKD. Our second case is of a 17-year-old patient with an unremarkable family history who was initially referred to genetic counseling due to cognitive and motor impairment with long-lasting epilepsy. Extensive workup revealed increased serum creatinine levels with no proteinuria and bland urinary sediment, along with hypomagnesemia. His genetic analysis revealed 17q12 deletion syndrome, causing the loss of one copy of the HNF1B gene, the AATF, and the LHX1 gene. Conclusion Autosomal dominant tubulointerstitial kidney diseases are challenging to diagnose due to a lack of typical clinical or histopathological signs as well as an uncharacteristic and versatile clinical presentation. Increased clinical awareness is crucial for the detection of these diseases.
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Affiliation(s)
- Margareta Fistrek Prlic
- Department of Nephrology, Arterial Hypertension, Dialysis and Transplantation, University Hospital Center Zagreb, Zagreb, Croatia
| | - Sanda Huljev Frkovic
- Department of Pediatrics, Division of Genetics and Metabolism, University Hospital Center Zagreb, Zagreb, Croatia
- University of Zagreb, School of Medicine, Zagreb, Croatia
| | - Bodo Beck
- Institute of Human Genetics, University of Cologne, Cologne, Germany
| | - Ivana Tonkovic Durisevic
- Department of Laboratory Diagnostics, Division of Cytogenetics, University Hospital Center Zagreb, Zagreb, Croatia
| | - Stela Bulimbasic
- University of Zagreb, School of Medicine, Zagreb, Croatia
- Department of Pathology, University Hospital Center Zagreb, Zagreb, Croatia
| | - Marijana Coric
- University of Zagreb, School of Medicine, Zagreb, Croatia
- Department of Pathology, University Hospital Center Zagreb, Zagreb, Croatia
| | - Lovro Lamot
- University of Zagreb, School of Medicine, Zagreb, Croatia
- Department of Pediatrics, Division of Nephrology, Dialysis and Transplantation, University Hospital Center Zagreb, Zagreb, Croatia
| | - Ema Ivandic
- Department of Nephrology, Arterial Hypertension, Dialysis and Transplantation, University Hospital Center Zagreb, Zagreb, Croatia
| | - Ivana Vukovic Brinar
- Department of Nephrology, Arterial Hypertension, Dialysis and Transplantation, University Hospital Center Zagreb, Zagreb, Croatia
- University of Zagreb, School of Medicine, Zagreb, Croatia
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11
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Verbitsky M, Krishnamurthy S, Krithivasan P, Hughes D, Khan A, Marasà M, Vena N, Khosla P, Zhang J, Lim TY, Glessner JT, Weng C, Shang N, Shen Y, Hripcsak G, Hakonarson H, Ionita-Laza I, Levy B, Kenny EE, Loos RJ, Kiryluk K, Sanna-Cherchi S, Crosslin DR, Furth S, Warady BA, Igo RP, Iyengar SK, Wong CS, Parsa A, Feldman HI, Gharavi AG. Genomic Disorders in CKD across the Lifespan. J Am Soc Nephrol 2023; 34:607-618. [PMID: 36302597 PMCID: PMC10103259 DOI: 10.1681/asn.2022060725] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 09/15/2022] [Indexed: 01/24/2023] Open
Abstract
SIGNIFICANCE STATEMENT Pathogenic structural genetic variants, also known as genomic disorders, have been associated with pediatric CKD. This study extends those results across the lifespan, with genomic disorders enriched in both pediatric and adult patients compared with controls. In the Chronic Renal Insufficiency Cohort study, genomic disorders were also associated with lower serum Mg, lower educational performance, and a higher risk of death. A phenome-wide association study confirmed the link between kidney disease and genomic disorders in an unbiased way. Systematic detection of genomic disorders can provide a molecular diagnosis and refine prediction of risk and prognosis. BACKGROUND Genomic disorders (GDs) are associated with many comorbid outcomes, including CKD. Identification of GDs has diagnostic utility. METHODS We examined the prevalence of GDs among participants in the Chronic Kidney Disease in Children (CKiD) cohort II ( n =248), Chronic Renal Insufficiency Cohort (CRIC) study ( n =3375), Columbia University CKD Biobank (CU-CKD; n =1986), and the Family Investigation of Nephropathy and Diabetes (FIND; n =1318) compared with 30,746 controls. We also performed a phenome-wide association analysis (PheWAS) of GDs in the electronic MEdical Records and GEnomics (eMERGE; n =11,146) cohort. RESULTS We found nine out of 248 (3.6%) CKiD II participants carried a GD, replicating prior findings in pediatric CKD. We also identified GDs in 72 out of 6679 (1.1%) adult patients with CKD in the CRIC, CU-CKD, and FIND cohorts, compared with 199 out of 30,746 (0.65%) GDs in controls (OR, 1.7; 95% CI, 1.3 to 2.2). Among adults with CKD, we found recurrent GDs at the 1q21.1, 16p11.2, 17q12, and 22q11.2 loci. The 17q12 GD (diagnostic of renal cyst and diabetes syndrome) was most frequent, present in 1:252 patients with CKD and diabetes. In the PheWAS, dialysis and neuropsychiatric phenotypes were the top associations with GDs. In CRIC participants, GDs were associated with lower serum magnesium, lower educational achievement, and higher mortality risk. CONCLUSION Undiagnosed GDs are detected both in children and adults with CKD. Identification of GDs in these patients can enable a precise genetic diagnosis, inform prognosis, and help stratify risk in clinical studies. GDs could also provide a molecular explanation for nephropathy and comorbidities, such as poorer neurocognition for a subset of patients.
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Affiliation(s)
- Miguel Verbitsky
- Division of Nephrology, Department of Medicine, Columbia University, New York, New York
| | | | - Priya Krithivasan
- Division of Nephrology, Department of Medicine, Columbia University, New York, New York
| | - Daniel Hughes
- Institute for Genomic Medicine, Columbia University Medical Center, New York, New York
| | - Atlas Khan
- Division of Nephrology, Department of Medicine, Columbia University, New York, New York
| | - Maddalena Marasà
- Division of Nephrology, Department of Medicine, Columbia University, New York, New York
| | - Natalie Vena
- Division of Nephrology, Department of Medicine, Columbia University, New York, New York
| | - Pavan Khosla
- Division of Nephrology, Department of Medicine, Columbia University, New York, New York
| | - Junying Zhang
- Division of Nephrology, Department of Medicine, Columbia University, New York, New York
| | - Tze Y. Lim
- Division of Nephrology, Department of Medicine, Columbia University, New York, New York
| | - Joseph T. Glessner
- Center for Applied Genomics and Department of Pediatrics, Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Chunhua Weng
- Department of Biomedical Informatics, Columbia University, New York, New York
| | - Ning Shang
- Division of Nephrology, Department of Medicine, Columbia University, New York, New York
- Department of Biomedical Informatics, Columbia University, New York, New York
| | - Yufeng Shen
- Department of Systems Biology and Columbia Genome Center, Columbia University, New York, New York
| | - George Hripcsak
- Department of Biomedical Informatics, Columbia University, New York, New York
| | - Hakon Hakonarson
- Center for Applied Genomics and Department of Pediatrics, Perelman School of Medicine, Philadelphia, Pennsylvania
| | | | - Brynn Levy
- Department of Pathology and Cell Biology, Columbia University, New York, New York
| | - Eimear E. Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Ruth J.F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Krzysztof Kiryluk
- Division of Nephrology, Department of Medicine, Columbia University, New York, New York
| | - Simone Sanna-Cherchi
- Division of Nephrology, Department of Medicine, Columbia University, New York, New York
| | - David R. Crosslin
- Division of Biomedical Informatics and Genomics, Tulane University School of Medicine, New Orleans, Louisiana
| | - Susan Furth
- Departments of Pediatrics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Bradley A. Warady
- Department of Pediatrics, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
| | - Robert P. Igo
- Department of Population and Quantitative Health Sciences, Case Western Reserve University and Louis Stoke, Cleveland, Ohio
| | - Sudha K. Iyengar
- Department of Population and Quantitative Health Sciences, Case Western Reserve University and Louis Stoke, Cleveland, Ohio
| | - Craig S. Wong
- Division of Pediatric Nephrology, University of New Mexico Children’s Hospital, Albuquerque, New Mexico
| | - Afshin Parsa
- Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland
| | - Harold I. Feldman
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, Philadelphia, Pennsylvania
- Department of Medicine, Perelman School of Medicine, Philadelphia, Pennsylvania
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Ali G. Gharavi
- Division of Nephrology, Department of Medicine, Columbia University, New York, New York
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12
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Zunova H, Stolfa M, Kunikova T, Novotna D, Valkovicova R, Štěrbová K, Vlckova M. A unique coincidence of a 17q12 deletion and duplication in a Czech family led to a refined genotype-phenotype correlation. Am J Med Genet A 2023; 191:870-877. [PMID: 36548033 DOI: 10.1002/ajmg.a.63085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 11/21/2022] [Accepted: 12/04/2022] [Indexed: 12/24/2022]
Abstract
Chromosomal band 17q12 is a gene-rich region flanked by segmental duplications, making the region prone to deletions and duplications via the non-allelic homologous recombination mechanism. While deletions cause a well-described disorder with a specific phenotype called renal cysts and diabetes mellitus, the phenotype caused by reciprocal duplications is less specific, primarily because of variable expressivity, and incomplete penetrance. We present an unusual family with four children carrying the 17q12 microduplication inherited from their clinically healthy mother, who was a carrier of both the duplication and, interestingly, also of an atypical deletion of the 17q12 region. The duplication was inherited from her diabetic father and the deletion from her diabetic mother who also suffered from a renal disorder. Clinical manifestations in the family were variable, but all children showed some degree of a neurodevelopmental disorder, such as epilepsy, intellectual disability, delayed speech development, or attention deficit disorder. The simultaneous occurrence of a deletion and duplication in the same chromosomal region in one family is very rare, and to our knowledge, individuals carrying both a deletion and a duplication of this region have never been described.
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Affiliation(s)
- Hana Zunova
- Department of Biology and Medical Genetics, Second Faculty of Medicine and University Hospital Motol, Charles University, Prague, Czech Republic
| | - Miroslav Stolfa
- Department of Biology and Medical Genetics, Second Faculty of Medicine and University Hospital Motol, Charles University, Prague, Czech Republic
| | - Tereza Kunikova
- Department of Biology and Medical Genetics, Second Faculty of Medicine and University Hospital Motol, Charles University, Prague, Czech Republic
| | - Drahuse Novotna
- Department of Biology and Medical Genetics, Second Faculty of Medicine and University Hospital Motol, Charles University, Prague, Czech Republic
| | - Radka Valkovicova
- Department of Pediatric Neurology, Second Faculty of Medicine and University Hospital Motol, Charles University, Prague, Czech Republic
| | - Katalin Štěrbová
- Department of Pediatric Neurology, Second Faculty of Medicine and University Hospital Motol, Charles University, Prague, Czech Republic
| | - Marketa Vlckova
- Department of Biology and Medical Genetics, Second Faculty of Medicine and University Hospital Motol, Charles University, Prague, Czech Republic
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13
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Saia F, Prato A, Saccuzzo L, Madia F, Barone R, Fichera M, Rizzo R. Copy Number Variations in Children with Tourette Syndrome: Systematic Investigation in a Clinical Setting. Genes (Basel) 2023; 14:500. [PMID: 36833427 PMCID: PMC9956985 DOI: 10.3390/genes14020500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 02/07/2023] [Accepted: 02/13/2023] [Indexed: 02/18/2023] Open
Abstract
Tourette syndrome (TS) is a neurodevelopmental disturbance with heterogeneous and not completely known etiology. Clinical and molecular appraisal of affected patients is mandatory for outcome amelioration. The current study aimed to understand the molecular bases underpinning TS in a vast cohort of pediatric patients with TS. Molecular analyses included array-CGH analyses. The primary goal was to define the neurobehavioral phenotype of patients with or without pathogenic copy number variations (CNVs). Moreover, we compared the CNVs with CNVs described in the literature in neuropsychiatric disorders, including TS, to describe an effective clinical and molecular characterization of patients for prognostic purposes and for correctly taking charge. Moreover, this study showed that rare deletions and duplications focusing attention on significant genes for neurodevelopment had a statistically higher occurrence in children with tics and additional comorbidities. In our cohort, we determined an incidence of potentially causative CNVs of about 12%, in line with other literature studies. Clearly, further studies are needed to delineate the genetic background of patients with tic disorders in a superior way to elucidate the complex genetic architecture of these disorders, to describe the outcome, and to identify new possible therapeutic targets.
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Affiliation(s)
- Federica Saia
- Child and Adolescent Neurology and Psychiatric Section, Department of Clinical and Experimental Medicine, Catania University, 95124 Catania, Italy
| | - Adriana Prato
- Child and Adolescent Neurology and Psychiatric Section, Department of Clinical and Experimental Medicine, Catania University, 95124 Catania, Italy
- Department of Cognitive Sciences, Psychology, Education and Cultural Studies, University of Messina, 98121 Messina, Italy
| | - Lucia Saccuzzo
- Department of Biomedical and Biotechnological Sciences, Medical Genetics, University of Catania, 95124 Catania, Italy
| | - Francesca Madia
- Laboratory of Neurogenetics and Neuroscience, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy
| | - Rita Barone
- Child and Adolescent Neurology and Psychiatric Section, Department of Clinical and Experimental Medicine, Catania University, 95124 Catania, Italy
| | - Marco Fichera
- Department of Biomedical and Biotechnological Sciences, Medical Genetics, University of Catania, 95124 Catania, Italy
- Research Unit of Rare Diseases and Neurodevelopmental Disorders, Oasi Research Institute-IRCCS, 94018 Troina, Italy
| | - Renata Rizzo
- Child and Adolescent Neurology and Psychiatric Section, Department of Clinical and Experimental Medicine, Catania University, 95124 Catania, Italy
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14
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Weingartner A, Pegoraro NB, Maglioni RT, Moreira ICFN, Rodrigues GE, Kunz AC, Piai CB, Milano AS, Raskin S, Ferrari LP, Mikami LR. Autism and duplication of 17q12q21.2 by array-CGH: a case report. REVISTA PAULISTA DE PEDIATRIA 2023; 41:e2021387. [PMID: 36700567 PMCID: PMC9869734 DOI: 10.1590/1984-0462/2023/41/2021387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Accepted: 03/13/2022] [Indexed: 01/27/2023]
Abstract
OBJECTIVE Autism spectrum disorder (ASD) affects cognitive development and social interaction on different levels. Genetic and environmental factors are associated with secondary ASD. Genetic inheritance is mainly polygenic, and 10% are copy number variations (CNVs). Array comparative genomic hybridization (array-CGH) is used to identify CNVs. This report aimed to discuss autism spectrum disorder and its diagnosis by array comparative genomic hybridization, highlighting the association with the pathogenic duplication of 17q12q21.2. CASE DESCRIPTION A male baby was born at 37 weeks' gestation by cesarean section. The child showed strabismus, cryptorchidism, hypertelorism, frontal bossing, and developmental delay, walking at 25 months and talking at 4 years. At the age of 2 years, array-CGH of peripheral blood revealed a 5.6-Mb 17q12q21.2 duplication or arr 17q12q21.2 (34,815,527-40,213.109)x3 encompassing 190 genes, including HNF-1B and LHX1. The child was clinically diagnosed with ASD. COMMENTS Changes in the 17q12 segment, such as the duplication found, have been associated with the development of several problems in previous studies, mainly kidney diseases and behavioral disorders. Located at this chromosome region, HNF1's homeobox B codes a member of the superfamily containing homeodomain of transcription factors. Another gene associated with abnormalities in neurological development regarding 17q12 deletions is LHX1, as shown in this case study. LHX1 plays a role in the migration and differentiation of GABA neurons, modulating the survival of pre-optical interneurons, thus affecting cellular migration and distribution in the cortex. Changes in this control result in flaws in interneuron development, contributing to the pathophysiology of psychiatric diseases.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Salmo Raskin
- Genetika – Centro de Aconselhamento e Laboratório de Genética, Curitiba, PR, Brazil
| | | | - Liya Regina Mikami
- Faculdade Evangélica Mackenzie do Paraná, Curitiba, PR, Brazil.,Corresponding author. E-mail: (L.R. Mikami)
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15
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Gambella A, Kalantari S, Cadamuro M, Quaglia M, Delvecchio M, Fabris L, Pinon M. The Landscape of HNF1B Deficiency: A Syndrome Not Yet Fully Explored. Cells 2023; 12:cells12020307. [PMID: 36672242 PMCID: PMC9856658 DOI: 10.3390/cells12020307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/05/2023] [Accepted: 01/10/2023] [Indexed: 01/15/2023] Open
Abstract
The hepatocyte nuclear factor 1β (HNF1B) gene is involved in the development of specialized epithelia of several organs during the early and late phases of embryogenesis, performing its function mainly by regulating the cell cycle and apoptosis pathways. The first pathogenic variant of HNF1B (namely, R177X) was reported in 1997 and is associated with the maturity-onset diabetes of the young. Since then, more than 230 different HNF1B variants have been reported, revealing a multifaceted syndrome with complex and heterogenous genetic, pathologic, and clinical profiles, mainly affecting the pediatric population. The pancreas and kidneys are the most frequently affected organs, resulting in diabetes, renal cysts, and a decrease in renal function, leading, in 2001, to the definition of HNF1B deficiency syndrome, including renal cysts and diabetes. However, several other organs and systems have since emerged as being affected by HNF1B defect, while diabetes and renal cysts are not always present. Especially, liver involvement has generally been overlooked but recently emerged as particularly relevant (mostly showing chronically elevated liver enzymes) and with a putative relation with tumor development, thus requiring a more granular analysis. Nowadays, HNF1B-associated disease has been recognized as a clinical entity with a broader and more variable multisystem phenotype, but the reasons for the phenotypic heterogeneity are still poorly understood. In this review, we aimed to describe the multifaceted nature of HNF1B deficiency in the pediatric and adult populations: we analyzed the genetic, phenotypic, and clinical features of this complex and misdiagnosed syndrome, covering the most frequent, unusual, and recently identified traits.
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Affiliation(s)
- Alessandro Gambella
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy
- Division of Liver and Transplant Pathology, University of Pittsburgh, Pittsburgh, PA 15232, USA
| | - Silvia Kalantari
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | | | - Marco Quaglia
- Department of Translational Medicine, University of Piemonte Orientale, 28100 Novara, Italy
| | - Maurizio Delvecchio
- Metabolic Disease and Genetics Unit, Giovanni XXIII Children’s Hospital, AOU Policlinico di Bari, 70124 Bari, Italy
- Correspondence:
| | - Luca Fabris
- Department of Molecular Medicine, University of Padova, 35121 Padua, Italy
- Liver Center, Digestive Disease Section, Department of Internal Medicine, Yale University, New Haven, CT 06510, USA
| | - Michele Pinon
- Pediatric Gastroenterology Unit, Regina Margherita Children’s Hospital, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
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16
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Shi P, Hou Y, Chen D, Ren H, Xia Y, Kong X. Estimate of genetic variants using CNV-Seq for fetuses with oligohydramnios or polyhydramnios. Mol Genet Genomic Med 2022; 11:e2089. [PMID: 36398477 PMCID: PMC9834137 DOI: 10.1002/mgg3.2089] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 09/30/2022] [Accepted: 10/27/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Oligohydramnios or polyhydramnios, is associated with chromosomal aberrations, particularly aneuploidy. However, its correlation with copy number variation (CNV) remains unclear. METHODS We retrospectively analyzed 428 cases with an abnormal level of amniotic fluid, comprising of 139 cases of single ultrasound findings (SU group) and 289 cases of multiple ultrasound findings (MU group), by CNV sequencing (CNV-Seq) and followed their pregnancy outcomes. RESULTS The overall detection rate of clinically significant findings was 8%, with 5% in the SU group and 11% in MU group. Besides, 18 microdeletion/microduplication syndromes were detected, with the highest rate of renal cysts and diabetes syndrome (22%, 4/18). Also, the rate of termination of pregnancy in MU group was much higher than that in the SU group (29% vs. 10%, ***p < 0.001), and in the MU-oligohydramnios subgroup, it was the highest (34%), regardless of cases with chromosomal anomaly and lost to follow-up. CONCLUSION Our results showed that the abnormal level of amniotic fluid, especially combined with other ultrasound abnormalities, is closely related to chromosomal abnormalities and genetic CNVs. CNV-Seq may be useful in investigating pregnancies with an abnormal amniotic fluid level.
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Affiliation(s)
- Panlai Shi
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and GynecologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Yaqin Hou
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and GynecologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Duo Chen
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and GynecologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Huanan Ren
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and GynecologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Yanjie Xia
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and GynecologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Xiangdong Kong
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and GynecologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
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Wu CHW, Lim TY, Wang C, Seltzsam S, Zheng B, Schierbaum L, Schneider S, Mann N, Connaughton DM, Nakayama M, van der Ven AT, Dai R, Kolvenbach CM, Kause F, Ottlewski I, Stajic N, Soliman NA, Kari JA, El Desoky S, Fathy HM, Milosevic D, Turudic D, Al Saffar M, Awad HS, Eid LA, Ramanathan A, Senguttuvan P, Mane SM, Lee RS, Bauer SB, Lu W, Hilger AC, Tasic V, Shril S, Sanna-Cherchi S, Hildebrandt F. Copy Number Variation Analysis Facilitates Identification of Genetic Causation in Patients with Congenital Anomalies of the Kidney and Urinary Tract. EUR UROL SUPPL 2022; 44:106-112. [PMID: 36185583 PMCID: PMC9520493 DOI: 10.1016/j.euros.2022.08.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/10/2022] [Indexed: 11/27/2022] Open
Abstract
Background Congenital anomalies of the kidneys and urinary tract (CAKUT) are the most common cause of chronic kidney disease among children and adults younger than 30 yr. In our previous study, whole-exome sequencing (WES) identified a known monogenic cause of isolated or syndromic CAKUT in 13% of families with CAKUT. However, WES has limitations and detection of copy number variations (CNV) is technically challenging, and CNVs causative of CAKUT have previously been detected in up to 16% of cases. Objective To detect CNVs causing CAKUT in this WES cohort and increase the diagnostic yield. Design setting and participants We performed a genome-wide single nucleotide polymorphism (SNP)-based CNV analysis on the same CAKUT cohort for whom WES was previously conducted. Outcome measurements and statistical analysis We evaluated and classified the CNVs using previously published predefined criteria. Results and limitations In a cohort of 170 CAKUT families, we detected a pathogenic CNV known to cause CAKUT in nine families (5.29%, 9/170). There were no competing variants on genome-wide CNV analysis or WES analysis. In addition, we identified novel likely pathogenic CNVs that may cause a CAKUT phenotype in three of the 170 families (1.76%). Conclusions CNV analysis in this cohort of 170 CAKUT families previously examined via WES increased the rate of diagnosis of genetic causes of CAKUT from 13% on WES to 18% on WES + CNV analysis combined. We also identified three candidate loci that may potentially cause CAKUT. Patient summary We conducted a genetics study on families with congenital anomalies of the kidney and urinary tract (CAKUT). We identified gene mutations that can explain CAKUT symptoms in 5.29% of the families, which increased the percentage of genetic causes of CAKUT to 18% from a previous study, so roughly one in five of our patients with CAKUT had a genetic cause. These analyses can help patients with CAKUT and their families in identifying a possible genetic cause.
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Affiliation(s)
- Chen-Han Wilfred Wu
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Urology, Case Western Reserve University and University Hospitals, Cleveland, OH, USA
- Department of Genetics and Genome Sciences, Case Western Reserve University and University Hospitals, Cleveland, OH, USA
| | - Tze Y. Lim
- Division of Nephrology, Columbia University Irving Medical Center, New York, NY, USA
| | - Chunyan Wang
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Steve Seltzsam
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Bixia Zheng
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Luca Schierbaum
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Sophia Schneider
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Nina Mann
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Dervla M. Connaughton
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Makiko Nakayama
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Amelie T. van der Ven
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Rufeng Dai
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Caroline M. Kolvenbach
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Franziska Kause
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Isabel Ottlewski
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Natasa Stajic
- Department of Pediatric Nephrology, Institute for Mother and Child Health Care, Belgrade, Serbia
| | - Neveen A. Soliman
- Department of Pediatrics, Center of Pediatric Nephrology & Transplantation, Cairo University, Egyptian Group for Orphan Renal Diseases, Cairo, Egypt
| | - Jameela A. Kari
- Department of Pediatrics, King AbdulAziz University, Jeddah, Saudi Arabia
| | - Sherif El Desoky
- Department of Pediatrics, King AbdulAziz University, Jeddah, Saudi Arabia
| | - Hanan M. Fathy
- Pediatric Nephrology Unit, University of Alexandria, Alexandria, Egypt
| | - Danko Milosevic
- Department of Pediatric Nephrology, University Hospital Center Zagreb, Zagreb, Croatia
| | - Daniel Turudic
- Department of Pediatric Nephrology, University Hospital Center Zagreb, Zagreb, Croatia
| | - Muna Al Saffar
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Paediatrics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Hazem S. Awad
- Pediatric Nephrology Department, Dubai Hospital, Dubai, United Arab Emirates
| | - Loai A. Eid
- Pediatric Nephrology Department, Dubai Hospital, Dubai, United Arab Emirates
- Department of Pediatrics, Dubai Medical College and Kidney Centre of Excellence, Al Jalila Children’s Specialty Hospital, Dubai, United Arab Emirates
| | - Aravind Ramanathan
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Prabha Senguttuvan
- Department of Pediatric Nephrology, Dr. Mehta’s Multi-Specialty Hospital, Chennai, India
| | - Shrikant M. Mane
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Richard S. Lee
- Department of Urology, Boston Children’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Stuart B. Bauer
- Department of Urology, Boston Children’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Weining Lu
- Renal Section, Department of Medicine, Boston University Medical Center, Boston, MA, USA
| | - Alina C. Hilger
- Department of Pediatric and Adolescent Medicine, Friedrich Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Velibor Tasic
- Medical Faculty Skopje, University Children’s Hospital, Skopje, Macedonia
| | - Shirlee Shril
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Simone Sanna-Cherchi
- Division of Nephrology, Columbia University Irving Medical Center, New York, NY, USA
| | - Friedhelm Hildebrandt
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- Corresponding author. Division of Nephrology, Boston Children’s Hospital, 300 Longwood Avenue, Boston, MA 02115, USA. Tel. +1 617 3556129; Fax: +1 617 8300365.
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Aron AW, Dahl NK, Besse W. A Practical Guide to Genetic Testing for Kidney Disorders of Unknown Etiology. KIDNEY360 2022; 3:1640-1651. [PMID: 36245662 PMCID: PMC9528385 DOI: 10.34067/kid.0007552021] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 07/08/2022] [Indexed: 01/18/2023]
Abstract
Genetic testing is increasingly used in the workup and diagnosis of kidney disease and kidney-related disorders of undetermined cause. Out-of-pocket costs for clinical genetic testing have become affordable, and logistical hurdles overcome. The interest in genetic testing may stem from the need to make or confirm a diagnosis, guide management, or the patient's desire to have a more informed explanation or prognosis. This poses a challenge for providers who do not have formal training in the selection, interpretation, and limitations of genetic tests. In this manuscript, we provide detailed discussion of relevant cases in which clinical genetic testing using a kidney gene panel was applied. The cases demonstrate identification of pathogenic variants for monogenic diseases-contrasting them from genetic risk alleles-and bring up diagnostic limitations and diagnostic utility of these tests in nephrology. This review aims to guide clinicians in formulating pretest conversations with their patients, interpreting genetic variant nomenclature, and considering follow-up investigations. Although providers are gaining experience, there is still risk of testing causing more anxiety than benefit. However, with provider education and support, clinical genetic testing applied to otherwise unexplained kidney-related disorders will increasingly serve as a valuable diagnostic tool with the potential to reshape how we consider and treat many kidney-related diagnoses.
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Affiliation(s)
- Abraham W. Aron
- Section of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Neera K. Dahl
- Section of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Whitney Besse
- Section of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
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19
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Cannon S, Clissold R, Sukcharoen K, Tuke M, Hawkes G, Beaumont RN, Wood AR, Gilchrist M, Hattersley AT, Oram RA, Patel K, Wright C, Weedon MN. Recurrent 17q12 microduplications contribute to renal disease but not diabetes. J Med Genet 2022; 60:491-497. [PMID: 36109160 PMCID: PMC10176419 DOI: 10.1136/jmg-2022-108615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 09/03/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND 17q12 microdeletion and microduplication syndromes present as overlapping, multisystem disorders. We assessed the disease phenotypes of individuals with 17q12 CNV in a population-based cohort. METHODS We investigated 17q12 CNV using microarray data from 450 993 individuals in the UK Biobank and calculated disease status associations for diabetes, liver and renal function, neurological and psychiatric traits. RESULTS We identified 11 17q12 microdeletions and 106 microduplications. Microdeletions were strongly associated with diabetes (p=2×10-7) but microduplications were not. Estimated glomerular filtration rate (eGFR mL/min/1.73 m2) was consistently lower in individuals with microdeletions (p=3×10-12) and microduplications (p=6×10-25). Similarly, eGFR <60, including end-stage renal disease, was associated with microdeletions (p=2×10-9, p<0.003) and microduplications (p=1×10-9, p=0.009), respectively, highlighting sometimes substantially reduced renal function in each. Microduplications were associated with decreased fluid intelligence (p=3×10-4). SNP association analysis in the 17q12 region implicated changes to HNF1B as causing decreased eGFR (NC_000017.11:g.37741642T>G, rs12601991, p=4×10-21) and diabetes (NC_000017.11:g.37741165C>T, rs7501939, p=6×10-17). A second locus within the region was also associated with fluid intelligence (NC_000017.11:g.36593168T>C, rs1005552, p=6×10-9) and decreased eGFR (NC_000017.11:g.36558947T>C, rs12150665, p=4×10-15). CONCLUSION We demonstrate 17q12 microdeletions but not microduplications are associated with diabetes in a population-based cohort, likely caused by HNF1B haploinsufficiency. We show that both 17q12 microdeletions and microduplications are associated with renal disease, and multiple genes within the region likely contribute to renal and neurocognitive phenotypes.
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Affiliation(s)
- Stuart Cannon
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Rhian Clissold
- Exeter Kidney Unit, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Kittiya Sukcharoen
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Marcus Tuke
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Gareth Hawkes
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Robin N Beaumont
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Andrew R Wood
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Mark Gilchrist
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Andrew T Hattersley
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Richard A Oram
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Kashyap Patel
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Caroline Wright
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Michael N Weedon
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
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20
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Connaughton DM, Hildebrandt F. Disease mechanisms of monogenic congenital anomalies of the kidney and urinary tract American Journal of Medical Genetics Part C. AMERICAN JOURNAL OF MEDICAL GENETICS. PART C, SEMINARS IN MEDICAL GENETICS 2022; 190:325-343. [PMID: 36208064 PMCID: PMC9618346 DOI: 10.1002/ajmg.c.32006] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 07/14/2022] [Accepted: 09/16/2022] [Indexed: 11/05/2022]
Abstract
Congenital Anomalies of the Kidney and Urinary Tract (CAKUT) is a developmental disorder of the kidney and/or genito-urinary tract that results in end stage kidney disease (ESKD) in up to 50% of children. Despite the congenital nature of the disease, CAKUT accounts for almost 10% of adult onset ESKD. Multiple lines of evidence suggest that CAKUT is a Mendelian disorder, including the observation of familial clustering of CAKUT. Pathogenesis in CAKUT is embryonic in origin, with disturbances of kidney and urinary tract development resulting in a heterogeneous range of disease phenotypes. Despite polygenic and environmental factors being implicated, a significant proportion of CAKUT is monogenic in origin, with studies demonstrating single gene defects in 10%-20% of patients with CAKUT. Here, we review monogenic disease causation with emphasis on the etiological role of gene developmental pathways in CAKUT.
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Affiliation(s)
- Dervla M Connaughton
- Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, Canada
- Department of Medicine, Division of Nephrology, London Health Sciences Centre, London, Ontario, Canada
| | - Friedhelm Hildebrandt
- Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
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21
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Ferrández-Peral L, Zhan X, Alvarez-Estape M, Chiva C, Esteller-Cucala P, García-Pérez R, Julià E, Lizano E, Fornas Ò, Sabidó E, Li Q, Marquès-Bonet T, Juan D, Zhang G. Transcriptome innovations in primates revealed by single-molecule long-read sequencing. Genome Res 2022; 32:gr.276395.121. [PMID: 35840341 PMCID: PMC9435740 DOI: 10.1101/gr.276395.121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 07/12/2022] [Indexed: 11/24/2022]
Abstract
Transcriptomic diversity greatly contributes to the fundamentals of disease, lineage-specific biology, and environmental adaptation. However, much of the actual isoform repertoire contributing to shaping primate evolution remains unknown. Here, we combined deep long- and short-read sequencing complemented with mass spectrometry proteomics in a panel of lymphoblastoid cell lines (LCLs) from human, three other great apes, and rhesus macaque, producing the largest full-length isoform catalog in primates to date. Around half of the captured isoforms are not annotated in their reference genomes, significantly expanding the gene models in primates. Furthermore, our comparative analyses unveil hundreds of transcriptomic innovations and isoform usage changes related to immune function and immunological disorders. The confluence of these evolutionary innovations with signals of positive selection and their limited impact in the proteome points to changes in alternative splicing in genes involved in immune response as an important target of recent regulatory divergence in primates.
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Affiliation(s)
| | | | | | - Cristina Chiva
- Center for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
| | | | | | - Eva Julià
- Center for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
| | - Esther Lizano
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, 08003 Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, 08193 Barcelona, Spain
| | - Òscar Fornas
- Center for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
| | - Eduard Sabidó
- Center for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
| | - Qiye Li
- BGI-Shenzhen, Shenzhen 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tomàs Marquès-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, 08193 Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), 08010 Barcelona, Spain
- CNAG-CRG, Center for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08028 Barcelona, Spain
| | - David Juan
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, 08003 Barcelona, Spain
| | - Guojie Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, DK-2100 Copenhagen 2200, Denmark
- Evolutionary and Organismal Biology Research Center, School of Medicine, Zhejiang University, Hangzhou 310058, China
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22
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Phenotypic Variability of 17q12 Microdeletion Syndrome – Three Cases and Review of Literature. Balkan J Med Genet 2022; 24:71-82. [PMID: 36249519 PMCID: PMC9524179 DOI: 10.2478/bjmg-2021-0025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Abstract
Chromosome 17q12 microdeletion syndrome is a contiguous gene deletion syndrome caused by an 1–2 Mb loss, characterized by multicystic dysplastic kidneys or other urinary system anomalies starting in utero, including autism or maturity-onset diabetes of the young in its postnatal phenotype. Here, we report on three cases (two prenatal and one postnatal) with distinct and novel clinical presentations as compared with a large number of reviewed patients, thus emphasizing the phenotypic variability of this syndrome and the consequent difficulties in genetic counselling. Prenatal hyperechogenic multicystic kidneys, as well as other urinary tract anomalies, should be considered a marker, therefore indicating the necessity of comprehensive genetic testing, and autism should also be acknowledged as a possible clinical presentation, postnatally.
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23
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Kearney JA, Copeland-Hardin LD, Duarte S, Zachwieja NA, Eckart-Frank IK, Hawkins NA. Fine mapping and candidate gene analysis of a dravet syndrome modifier locus on mouse chromosome 11. Mamm Genome 2022; 33:565-574. [PMID: 35606653 DOI: 10.1007/s00335-022-09955-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 05/02/2022] [Indexed: 11/25/2022]
Abstract
Pathogenic variants in SCN1A result in a spectrum of phenotypes ranging from mild febrile seizures to Dravet syndrome, a severe infant-onset epileptic encephalopathy. Individuals with Dravet syndrome have developmental delays, elevated risk for sudden unexpected death in epilepsy (SUDEP), and have multiple seizure types that are often refractory to treatment. Although most Dravet syndrome variants arise de novo, there are cases where an SCN1A variant was inherited from mildly affected parents, as well as some individuals with de novo loss-of-function or truncation mutations that presented with milder phenotypes. This suggests that disease severity is influenced by other factors that modify expressivity of the primary mutation, which likely includes genetic modifiers. Consistent with this, the Scn1a+/- mouse model of Dravet syndrome exhibits strain-dependent variable phenotype severity. Scn1a+/- mice on the 129S6/SvEvTac (129) strain have no overt phenotype and a normal lifespan, while [C57BL/6Jx129]F1.Scn1a+/- mice have severe epilepsy with high rates of premature death. Low resolution genetic mapping identified several Dravet syndrome modifier (Dsm) loci responsible for the strain-dependent difference in survival of Scn1a+/- mice. To confirm the Dsm5 locus and refine its position, we generated interval-specific congenic strains carrying 129-derived chromosome 11 alleles on the C57BL/6J strain and localized Dsm5 to a 5.9 Mb minimal region. We then performed candidate gene analysis in the modifier region. Consideration of brain-expressed genes with expression or coding sequence differences between strains along with gene function suggested numerous strong candidates, including several protein coding genes and two miRNAs that may regulate Scn1a transcript.
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Affiliation(s)
- Jennifer A Kearney
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, 320 E. Superior St., Searle 8-510, Chicago, IL, 60611, USA.
| | - Letonia D Copeland-Hardin
- Driskill Graduate Program in Life Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Samantha Duarte
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, 320 E. Superior St., Searle 8-510, Chicago, IL, 60611, USA
| | - Nicole A Zachwieja
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, 320 E. Superior St., Searle 8-510, Chicago, IL, 60611, USA
| | - Isaiah K Eckart-Frank
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, 320 E. Superior St., Searle 8-510, Chicago, IL, 60611, USA
| | - Nicole A Hawkins
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, 320 E. Superior St., Searle 8-510, Chicago, IL, 60611, USA
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Cai M, Lin M, Guo N, Fu M, Xu L, Lin N, Huang H. Prenatal ultrasound phenotypic and genetic etiology of the 17q12 microduplication syndrome. Front Pediatr 2022; 10:910497. [PMID: 36034547 PMCID: PMC9399630 DOI: 10.3389/fped.2022.910497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 07/04/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Several studies have reported on the clinical phenotype of the 17q12 microduplication syndrome, a rare autosomal dominant genetic disorder, in children and adults, but few have reported on its prenatal diagnosis. This study analyzed the prenatal ultrasound phenotypes of the 17q12 microduplication syndrome to improve the understanding, diagnosis, and monitoring of this disease in fetuses. METHODS A retrospective analysis of 8,200 pregnant women who had received an invasive antenatal diagnosis at tertiary referral hospitals between January 2016 and August 2021 was performed. Amniotic fluid or cord blood was sampled from the pregnant women for karyotyping and chromosome microarray analysis (CMA). RESULTS The CMA revealed microduplication in the 17q12 region of the genome in five fetuses, involving fragments of about 1.5-1.9 Mb. Five fetuses with the 17q12 microduplication syndrome had different prenatal ultrasound phenotypes, including duodenal obstruction (two fetuses); mild ventriculomegaly, dysplasia of the septum pellucidum, agenesis of the corpus callosum (one fetus); and a strong echo in the left ventricle only (one fetus). The ultrasound phenotype of one fetus was normal. Among the five fetuses with the 17q12 microduplication syndrome, the parents of three refused CNV segregation analysis, while CNV segregation analysis was performed for the remaining two fetuses to confirm whether the disorder was inherited maternally or paternally, with normal phenotypes. After genetic counseling, the parents of those two fetuses chose to terminate the pregnancy, while the parents of the three unverified fetuses continued the pregnancy, with normal follow-up after birth. CONCLUSION Although prenatal ultrasound phenotypes in fetuses with the 17q12 microduplication syndrome are highly variable, our study has highlighted the distinct association between duodenal obstruction and the 17q12 microduplication syndrome. Understanding the relationship between the pathogenesis of the 17q12 microduplication in prenatal ultrasound phenotypes and its long-term prognosis will contribute to better genetic counseling concerning the 17q12 microduplication syndrome, which is still a challenge.
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Affiliation(s)
- Meiying Cai
- Medical Genetic Diagnosis and Therapy Center, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Medical University, Fuzhou, China
| | - Min Lin
- Medical Genetic Diagnosis and Therapy Center, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Medical University, Fuzhou, China
| | - Nan Guo
- Medical Genetic Diagnosis and Therapy Center, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Medical University, Fuzhou, China
| | - Meimei Fu
- Medical Genetic Diagnosis and Therapy Center, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Medical University, Fuzhou, China
| | - Liangpu Xu
- Medical Genetic Diagnosis and Therapy Center, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Medical University, Fuzhou, China
| | - Na Lin
- Medical Genetic Diagnosis and Therapy Center, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Medical University, Fuzhou, China
| | - Hailong Huang
- Medical Genetic Diagnosis and Therapy Center, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Medical University, Fuzhou, China
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25
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Zhang Z, Pan L, Chen K, Tan R. Prenatal ultrasound features and genetic analysis for 17q12 microdeletion syndrome. ZHONG NAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF CENTRAL SOUTH UNIVERSITY. MEDICAL SCIENCES 2021; 46:1370-1374. [PMID: 35232906 PMCID: PMC10930568 DOI: 10.11817/j.issn.1672-7347.2021.210412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Indexed: 06/14/2023]
Abstract
OBJECTIVES The 17q12 microdeletion syndrome is a type of syndrome caused by a deletion of 1.4 to 1.8 Mb in the 17q12 region of the chromosome. The main clinical features of the syndrome are structural or functional abnormalities in the kidney and urethra, type 5 diabetes, and neurodevelopmental or neuropsychiatric disorders. The diverse range of phenotypes associated with 17q12 microdeletion limited clinical recognition and diagnosis. In addition, the phenotypic description of this microdeletion is mainly about postpartum. Due to the rarity of the 17q12 microdeletion itself, studies on the prenatal phenotype of the 17q12 microdeletion are limited. This study aims to analyze the prenatal ultrasound features of 17q12 microdeletion, and to investigate the possibility of genotype-phenotype relationship for providing evidence for genetic counseling in such pregnancies. METHODS A total of 3 320 pregnant women and their fetuses were collected for the detection of chromosome copy number variation sequencing (CNV-Seq) due to different ultrasound anomalies in Xiangya Hospital of Central South University. The clinical data of pregnant women and their fetuses who were found to harbor 17q12 microdeletion were reviewed, including maternal age, fetus ultrasound findings, gestational week of the invasive procedure, CNV-Seq results, and the pregnancy outcome. CNV-Seq was tested in the parents to verify whether the abnormality was de novo or inherited. The prenatal ultrasound features and CNV-Seq test results of these 12 fetuses were analyzed and their pregnancy outcomes were followed up. RESULTS Approximately 0.36% (12/3 320) of fetuses were detected to have 17q12 microdeletion, all characterized as renal abnormalities, accounting for 4.2% (12/288) of all prenatal ultrasound with renal abnormalities, accounting for 48% (12/25) of prenatal ultrasound with renal abnormalities and pathogenic chromosomal abnormalities. The sizes of 17q12 deletion ranged from 1.4 to 1.7 Mb, and all of them included the HNF1B gene. Nine cases were de novo, 2 inherited from the mother, and 1 inherited from father. Among 12 fetuses with 17q12 deletion, 11 cases of prenatal ultrasound suggested bilateral hyperechogenic kidneys and 1 case only showed renal cyst, in which 3 fetuses with enlarged kidneys, 1 with clubfeet, and 1 with subependymal cyst. Pregnancy outcomes were available for 11 of the 12 fetuses. Of them, the parents of 9 fetuses with de novo deletion chose to terminate the pregnancy, and 2 live birth babies inherited from their mother with normal renal function had persistent renal echogenicity enhancement after birth. CONCLUSIONS Bilateral hyperechogenic kidneys show strikingly correlation with 17q12 microdeletion, suggesting the necessity of chromosome copy numbers detection for fetuses with hyperechogenic kidneys.
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Affiliation(s)
- Zhenhui Zhang
- Department of Obstetrics, First Hospital of Changsha, Changsha 410005.
| | - Lijuan Pan
- Department of Obstetrics, Xiangya Hospital, Central South University, Changsha 410008.
| | - Kuifang Chen
- Department of Obstetrics, Xiangya Hospital, Central South University, Changsha 410008
| | - Rong Tan
- Department of Ultrasonography, First Hospital of Changsha, Changsha 410005, China
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26
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An infant with hyperechoic cystic kidneys and congenital diaphragmatic hernia: Answers. Pediatr Nephrol 2021; 36:4085-4087. [PMID: 34355258 DOI: 10.1007/s00467-021-05155-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 05/17/2021] [Indexed: 10/20/2022]
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27
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Beneventi G, Munita R, Cao Thi Ngoc P, Madej M, Cieśla M, Muthukumar S, Krogh N, Nielsen H, Swaminathan V, Bellodi C. The small Cajal body-specific RNA 15 (SCARNA15) directs p53 and redox homeostasis via selective splicing in cancer cells. NAR Cancer 2021; 3:zcab026. [PMID: 34316713 PMCID: PMC8271217 DOI: 10.1093/narcan/zcab026] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 05/19/2021] [Accepted: 06/18/2021] [Indexed: 01/05/2023] Open
Abstract
Small Cajal body-specific RNAs (scaRNAs) guide post-transcriptional modification of spliceosomal RNA and, while commonly altered in cancer, have poorly defined roles in tumorigenesis. Here, we uncover that SCARNA15 directs alternative splicing (AS) and stress adaptation in cancer cells. Specifically, we find that SCARNA15 guides critical pseudouridylation (Ψ) of U2 spliceosomal RNA to fine-tune AS of distinct transcripts enriched for chromatin and transcriptional regulators in malignant cells. This critically impacts the expression and function of the key tumor suppressors ATRX and p53. Significantly, SCARNA15 loss impairs p53-mediated redox homeostasis and hampers cancer cell survival, motility and anchorage-independent growth. In sum, these findings highlight an unanticipated role for SCARNA15 and Ψ in directing cancer-associated splicing programs.
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Affiliation(s)
- Giulia Beneventi
- Division of Molecular Hematology, Department of Laboratory Medicine, Lund Stem Cell Center, Faculty of Medicine, Lund University, 22184, Lund, Sweden
| | - Roberto Munita
- Division of Molecular Hematology, Department of Laboratory Medicine, Lund Stem Cell Center, Faculty of Medicine, Lund University, 22184, Lund, Sweden
| | - Phuong Cao Thi Ngoc
- Division of Molecular Hematology, Department of Laboratory Medicine, Lund Stem Cell Center, Faculty of Medicine, Lund University, 22184, Lund, Sweden
| | - Magdalena Madej
- Division of Molecular Hematology, Department of Laboratory Medicine, Lund Stem Cell Center, Faculty of Medicine, Lund University, 22184, Lund, Sweden
| | - Maciej Cieśla
- Division of Molecular Hematology, Department of Laboratory Medicine, Lund Stem Cell Center, Faculty of Medicine, Lund University, 22184, Lund, Sweden
| | - Sowndarya Muthukumar
- Division of Molecular Hematology, Department of Laboratory Medicine, Lund Stem Cell Center, Faculty of Medicine, Lund University, 22184, Lund, Sweden
| | - Nicolai Krogh
- Department of Cellular and Molecular Medicine, The Panum Institute, University of Copenhagen, 2200, Copenhagen, Denmark
| | - Henrik Nielsen
- Department of Cellular and Molecular Medicine, The Panum Institute, University of Copenhagen, 2200, Copenhagen, Denmark
| | - Vinay Swaminathan
- Division of Oncology, Department of Clinical Sciences, Lund University, 22184, Lund, Sweden
| | - Cristian Bellodi
- Division of Molecular Hematology, Department of Laboratory Medicine, Lund Stem Cell Center, Faculty of Medicine, Lund University, 22184, Lund, Sweden
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28
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Wu HX, Li L, Zhang H, Tang J, Zhang MB, Tang HN, Guo Y, Zhou ZG, Zhou HD. Accurate diagnosis and heterogeneity analysis of a 17q12 deletion syndrome family with adulthood diabetes onset and complex clinical phenotypes. Endocrine 2021; 73:37-46. [PMID: 33745123 DOI: 10.1007/s12020-021-02682-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Accepted: 03/05/2021] [Indexed: 12/13/2022]
Abstract
PURPOSE 17q12 Deletion Syndrome is heterogeneous and the reasons remain unclear. We clarified the clinical characteristics of adulthood diabetes onset 17q12 deletion syndrome and investigated the unclear phenotype-genotype correlation. METHODS We collected the clinical history and laboratory results of a family with autosomal dominant inheritance diabetes and renopathy. Sanger sequencing of HNF1B and a panel of monogenic diabetic genes were performed to identify the monogenetic diabetes. Semiquantitative PCR and Chromosome 100 K sequence analysis were performed to analyze the copy numbers variation of diabetes related genes. Allelic specific quantitative PCR were used for TBC1D3 and paralogues diagnosis. The reported cases were reviewed and assessed to compare with patients in this study. RESULTS Differential variants in genomic DNA and clinical presentations among family members were explored to determine the probable phenotype-genotypes correlation. The four patients were diagnosed with 17q12 deletion syndrome with 1.47-1.76 Mb heterogeneous deletion, which led to the haploinsufficiency of HNF1B, ACACA, LHX1, PIGW, miRNA2909 and other genes. The patients had different amount of genes deletion in TBC1D3 and paralogues, which might associate with the heterogeneous clinical phenotypes. CONCLUSIONS We first reported an adulthood diabetes onset 17q12 deletion syndrome family with the largest number of patients. The heterogeneous clinical phenotypes might be related to the haploinsufficiency of TBC1D3 and its paralogues.
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Affiliation(s)
- Hui-Xuan Wu
- National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory For Metabolic Bone Diseases, and Department of Endocrinology and Metabolism, the Second XiangYa Hospital of Central South University, 139 Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Long Li
- National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory For Metabolic Bone Diseases, and Department of Endocrinology and Metabolism, the Second XiangYa Hospital of Central South University, 139 Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Hong Zhang
- National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory For Metabolic Bone Diseases, and Department of Endocrinology and Metabolism, the Second XiangYa Hospital of Central South University, 139 Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Jun Tang
- Department of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Mei-Biao Zhang
- Department of Endocrinology and Metabolism, The First People's Hospital of Huaihua, Huaihua, 418000, Hunan, China
| | - Hao-Neng Tang
- National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory For Metabolic Bone Diseases, and Department of Endocrinology and Metabolism, the Second XiangYa Hospital of Central South University, 139 Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Yue Guo
- National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory For Metabolic Bone Diseases, and Department of Endocrinology and Metabolism, the Second XiangYa Hospital of Central South University, 139 Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Zhi-Guang Zhou
- National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory For Metabolic Bone Diseases, and Department of Endocrinology and Metabolism, the Second XiangYa Hospital of Central South University, 139 Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Hou-De Zhou
- National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory For Metabolic Bone Diseases, and Department of Endocrinology and Metabolism, the Second XiangYa Hospital of Central South University, 139 Renmin Middle Road, Changsha, 410011, Hunan, China.
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29
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Xiao F, Liu X, Lu Y, Wu B, Liu R, Liu B, Yan K, Chen H, Cheng G, Wang L, Ni Q, Li G, Zhang P, Peng X, Cao Y, Shen C, Wang H, Zhou W. Overdosage of HNF1B Gene Associated With Annular Pancreas Detected in Neonate Patients With 17q12 Duplication. Front Genet 2021; 12:615072. [PMID: 34025713 PMCID: PMC8138176 DOI: 10.3389/fgene.2021.615072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 04/01/2021] [Indexed: 11/13/2022] Open
Abstract
The annular pancreas (AP) is a congenital anomaly of the pancreas that can cause acute abdominal pain and vomiting after birth. However, the genetic cause of AP is still unknown, and no study has reported AP in patients with 17q12 duplication. This study retrospectively analyzed the next-generation sequencing (NGS) data of individuals from January 2016 to June 2020 for 17q12 duplication. To identify the function of the key gene of HNF1B in the 17q12 duplication region, human HNF1B mRNA was microinjected into LiPan zebrafish transgenic embryos. A total of 19 cases of 17q12 duplication were confirmed. AP was diagnosed during exploratory laparotomy in four patients (21.1%). The other common features of 17q12 duplication included intellectual disability (50%), gross motor delay (50%), and seizures/epilepsy (31.58%). The ratio of the abnormal pancreas in zebrafish was significantly higher in the HNF1B overexpression models. In conclusion, we first reported AP in patients with duplication of the 17q12 region, resulting in the phenotype of 17q12 duplication syndrome. Furthermore, our zebrafish studies verified the role of the HNF1B gene in pancreatic development.
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Affiliation(s)
- Feifan Xiao
- Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.,Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Xiuyun Liu
- Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.,Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Yulan Lu
- Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Bingbing Wu
- Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Renchao Liu
- Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Bo Liu
- Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Kai Yan
- Division of Neonatology, Key Laboratory of Neonatal Diseases, Ministry of Health, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Huiyao Chen
- Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.,Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Guoqiang Cheng
- Division of Neonatology, Key Laboratory of Neonatal Diseases, Ministry of Health, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Laishuan Wang
- Division of Neonatology, Key Laboratory of Neonatal Diseases, Ministry of Health, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Qi Ni
- Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.,Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Gang Li
- Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Ping Zhang
- Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Xiaomin Peng
- Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Yun Cao
- Division of Neonatology, Key Laboratory of Neonatal Diseases, Ministry of Health, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Chun Shen
- Department of Pediatric Surgery, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Huijun Wang
- Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Wenhao Zhou
- Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.,Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.,Division of Neonatology, Key Laboratory of Neonatal Diseases, Ministry of Health, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
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30
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Nakamura M, Kanda S, Kajiho Y, Morisada N, Iijima K, Harita Y. A case of 17q12 deletion syndrome that presented antenatally with markedly enlarged kidneys and clinically mimicked autosomal recessive polycystic kidney disease. CEN Case Rep 2021; 10:543-548. [PMID: 33942272 DOI: 10.1007/s13730-021-00604-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 04/22/2021] [Indexed: 12/11/2022] Open
Abstract
The gene encoding hepatocyte nuclear factor 1β (HNF1B), a transcription factor involved in the development of the kidney and other organs, is located on chromosome 17q12. Heterozygous deletions of chromosome 17q12, which involve 15 genes including HNF1B, are known as 17q12 deletion syndrome and are a common cause of congenital anomalies of the kidneys and urinary tract (CAKUT) and may also present as a multisystem disorder. Autosomal recessive polycystic kidney disease (ARPKD), on the other hand, is a severe form of polycystic kidney disease caused by mutations in PKHD1 (polycystic kidney and hepatic disease 1). It is important to differentiate between these two diseases because they differ significantly in inheritance patterns, renal prognosis, and extrarenal manifestations. Here we report a case of 17q12 deletion syndrome that clinically mimicked ARPKD in which genetic testing was essential for appropriate genetic counseling and monitoring of possible extrarenal manifestations. The patient presented antenatally with markedly enlarged kidneys and showed bilaterally hyperechoic kidneys with poor corticomedullary differentiation and multiple cysts on ultrasonography. There was no family history of renal disease. ARPKD was clinically suspected and genetic testing was performed to confirm diagnosis, resulting in an unexpected finding of 17q12 deletion including HNF1B. While some research has been done to identify patients that should be tested for HNF1B anomalies, this case illustrates the difficulty of recognizing HNF1B-related disease and the importance of genetic testing in appropriately managing CAKUT cases.
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Affiliation(s)
- Misako Nakamura
- Department of Pediatrics, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Shoichiro Kanda
- Department of Pediatrics, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
| | - Yuko Kajiho
- Department of Pediatrics, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Naoya Morisada
- Department of Pediatrics, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo, Kobe, Hyogo, 650-0017, Japan
| | - Kazumoto Iijima
- Department of Pediatrics, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo, Kobe, Hyogo, 650-0017, Japan
| | - Yutaka Harita
- Department of Pediatrics, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
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31
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Yammine T, Reynaud N, Lejeune H, Diguet F, Rollat-Farnier PA, Labalme A, Plotton I, Farra C, Sanlaville D, Chouery E, Schluth-Bolard C. Deciphering balanced translocations in infertile males by next-generation sequencing to identify candidate genes for spermatogenesis disorders. Mol Hum Reprod 2021; 27:6261938. [PMID: 34009290 DOI: 10.1093/molehr/gaab034] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 04/14/2021] [Indexed: 12/29/2022] Open
Abstract
Male infertility affects about 7% of the general male population. Balanced structural chromosomal rearrangements are observed in 0.4-1.4% of infertile males and are considered as a well-established cause of infertility. However, underlying pathophysiological mechanisms still need to be clarified. A strategy combining standard and high throughput cytogenetic and molecular technologies was applied in order to identify the candidate genes that might be implicated in the spermatogenesis defect in three male carriers of different balanced translocations. Fluorescence in situ hybridization (FISH) and whole-genome paired-end sequencing were used to characterize translocation breakpoints at the molecular level while exome sequencing was performed in order to exclude the presence of any molecular event independent from the chromosomal rearrangement in the patients. All translocation breakpoints were characterized in the three patients. We identified four variants: a position effect on LACTB2 gene in Patient 1, a heterozygous CTDP1 gene disruption in Patient 2, two single-nucleotide variations (SNVs) in DNAH5 gene and a heterozygous 17q12 deletion in Patient 3. The variants identified in this study need further validation to assess their roles in male infertility. This study shows that beside the mechanical effect of structural rearrangement on meiosis, breakpoints could result in additional alterations such as gene disruption or position effect. Moreover, additional SNVs or copy number variations may be fortuitously present and could explain the variable impact of chromosomal rearrangements on spermatogenesis. In conclusion, this study confirms the relevance of combining different cytogenetic and molecular techniques to investigate patients with spermatogenesis disorders and structural rearrangements on genomic scale.
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Affiliation(s)
- T Yammine
- Medical Genetics Unit (UGM), Faculty of Medicine, Saint Joseph University, Beirut, Lebanon.,Institut Neuromyogène, Equipe Métabolisme énergétique et développement neuronal, CNRS UMR 5310, INSERM U1217, Université Lyon 1, Lyon, France
| | - N Reynaud
- Hospices Civils de Lyon, Service de Génétique, Bron, France.,Service de Médecine de la Reproduction, Hôpital Femme Mère Enfant, Hospices Civils de Lyon, Bron, France
| | - H Lejeune
- Service de Médecine de la Reproduction, Hôpital Femme Mère Enfant, Hospices Civils de Lyon, Bron, France.,Laboratoire d'hormonologie et endocrinologie Moléculaire, Hospices Civils de Lyon, Bron, France
| | - F Diguet
- Hospices Civils de Lyon, Service de Génétique, Bron, France
| | - P A Rollat-Farnier
- Hospices Civils de Lyon, Service de Génétique, Bron, France.,Cellule Bioinformatique, Hospices Civils de Lyon, Bron, France
| | - A Labalme
- Hospices Civils de Lyon, Service de Génétique, Bron, France
| | - I Plotton
- Service de Médecine de la Reproduction, Hôpital Femme Mère Enfant, Hospices Civils de Lyon, Bron, France.,Laboratoire d'hormonologie et endocrinologie Moléculaire, Hospices Civils de Lyon, Bron, France.,Unite INSERM 1208, Université Lyon 1, Lyon, France
| | - C Farra
- Medical Genetics Unit (UGM), Faculty of Medicine, Saint Joseph University, Beirut, Lebanon.,Department of Genetics, Hotel Dieu de France Medical Center, Beirut, Lebanon
| | - D Sanlaville
- Institut Neuromyogène, Equipe Métabolisme énergétique et développement neuronal, CNRS UMR 5310, INSERM U1217, Université Lyon 1, Lyon, France.,Hospices Civils de Lyon, Service de Génétique, Bron, France
| | - E Chouery
- Medical Genetics Unit (UGM), Faculty of Medicine, Saint Joseph University, Beirut, Lebanon.,Department of Human Genetics, Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Byblos, Lebanon
| | - C Schluth-Bolard
- Institut Neuromyogène, Equipe Métabolisme énergétique et développement neuronal, CNRS UMR 5310, INSERM U1217, Université Lyon 1, Lyon, France.,Hospices Civils de Lyon, Service de Génétique, Bron, France
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32
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Xu W, Zhang S, Feng Y, Zhang C, Xiao Y, Tian F. iTRAQ-based proteomic analysis of the hippocampus of pentylenetetrazole-kindled epileptic rats. Int J Dev Neurosci 2020; 81:125-141. [PMID: 33316100 DOI: 10.1002/jdn.10082] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 11/24/2020] [Accepted: 12/09/2020] [Indexed: 11/06/2022] Open
Abstract
Epilepsy can severely affect the quality of life of patients, who are often at higher risk of mortality. However, the molecular mechanisms and pathogenesis underlying epileptogenesis are poorly understood. In this study, we performed a proteomic analysis of the hippocampus in pentylenetetrazole (PTZ)-kindled epileptic rats to explore the molecular mechanisms of epileptogenesis. We established an epileptic model in Sprague Dawley rats by injecting PTZ intraperitoneally and applied isobaric tags for relative and absolute quantification (iTRAQ) technology integrated with liquid chromatography-tandem mass spectrometry (LC-MS/MS) to identify differentially expressed proteins (DEPs) in the hippocampus. A total of 99 proteins, comprising 93 upregulated and 6 downregulated proteins, were identified based on a fold change >1.2 (or <0.83) and a p-value < .05. A further bioinformatics analysis suggested that the candidate proteins were mainly involved in the ubiquitin ligase complex or metabolite homeostasis or acted as intrinsic components of the membrane. A Kyoto Encyclopedia of Gene and Genomes (KEGG) pathway enrichment analysis identified a series of representative pathological pathways, including the calcium signaling pathway, neuroactive ligand-receptor interaction pathway, and the NF-kappa B pathway. The mass spectrometry results were further confirmed by assessing five representative proteins (Akt1, Syvn1, Amfr, Lamb1, and Cox17) using western blotting and immunohistochemistry. These results may help to reveal the molecular mechanisms underlying epileptogenesis and provide new directions or targets for epilepsy research.
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Affiliation(s)
- Weiye Xu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, P.R. China
| | - Siyuan Zhang
- Department of Neurology, Hunan Provincial People's Hospital, Changsha, P.R. China
| | - Yanyan Feng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, P.R. China
| | - Chen Zhang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, P.R. China
| | - Yeqing Xiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, P.R. China
| | - Fafa Tian
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, P.R. China
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Hosoe J, Miya F, Kadowaki H, Fujiwara T, Suzuki K, Kato T, Waki H, Sasako T, Aizu K, Yamamura N, Sasaki F, Kurano M, Hara K, Tanaka M, Ishiura H, Tsuji S, Honda K, Yoshimura J, Morishita S, Matsuzawa F, Aikawa SI, Boroevich KA, Nangaku M, Okada Y, Tsunoda T, Shojima N, Yamauchi T, Kadowaki T. Clinical usefulness of multigene screening with phenotype-driven bioinformatics analysis for the diagnosis of patients with monogenic diabetes or severe insulin resistance. Diabetes Res Clin Pract 2020; 169:108461. [PMID: 32971154 DOI: 10.1016/j.diabres.2020.108461] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 08/29/2020] [Accepted: 09/16/2020] [Indexed: 11/29/2022]
Abstract
AIMS Monogenic diabetes is clinically heterogeneous and differs from common forms of diabetes (type 1 and 2). We aimed to investigate the clinical usefulness of a comprehensive genetic testing system, comprised of targeted next-generation sequencing (NGS) with phenotype-driven bioinformatics analysis in patients with monogenic diabetes, which uses patient genotypic and phenotypic data to prioritize potentially causal variants. METHODS We performed targeted NGS of 383 genes associated with monogenic diabetes or common forms of diabetes in 13 Japanese patients with suspected (n = 10) or previously diagnosed (n = 3) monogenic diabetes or severe insulin resistance. We performed in silico structural analysis and phenotype-driven bioinformatics analysis of candidate variants from NGS data. RESULTS Among the patients suspected having monogenic diabetes or insulin resistance, we diagnosed 3 patients as subtypes of monogenic diabetes due to disease-associated variants of INSR, LMNA, and HNF1B. Additionally, in 3 other patients, we detected rare variants with potential phenotypic effects. Notably, we identified a novel missense variant in TBC1D4 and an MC4R variant, which together may cause a mixed phenotype of severe insulin resistance. CONCLUSIONS This comprehensive approach could assist in the early diagnosis of patients with monogenic diabetes and facilitate the provision of tailored therapy.
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Affiliation(s)
- Jun Hosoe
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Fuyuki Miya
- Department of Medical Science Mathematics, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan; Laboratory for Medical Science Mathematics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; CREST, JST, Tokyo, Japan
| | | | - Toyofumi Fujiwara
- Database Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Chiba, Japan
| | - Ken Suzuki
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Takashi Kato
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hironori Waki
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Takayoshi Sasako
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Katsuya Aizu
- Division of Endocrinology and Metabolism, Saitama Children's Medical Center, Saitama, Japan
| | - Natsumi Yamamura
- Department of Pediatric Nephrology and Metabolism, Osaka Medical Center and Research Institute for Maternal and Child Health, Izumi, Japan
| | - Fusako Sasaki
- Department of Pediatrics, School of Medicine, Fukuoka University, Fukuoka, Japan
| | - Makoto Kurano
- Department of Clinical Laboratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kazuo Hara
- Department of Endocrinology and Metabolism, Saitama Medical Center, Jichi Medical University, Saitama, Japan
| | - Masaki Tanaka
- Institute of Medical Genomics, International University of Health and Welfare, Chiba, Japan
| | - Hiroyuki Ishiura
- Department of Neurology, The University of Tokyo Hospital, Tokyo, Japan
| | - Shoji Tsuji
- Department of Molecular Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kenjiro Honda
- Division of Nephrology and Endocrinology, University of Tokyo Graduate School of Medicine, Tokyo, Japan
| | - Jun Yoshimura
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Shinichi Morishita
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | | | | | - Keith A Boroevich
- Laboratory for Medical Science Mathematics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Masaomi Nangaku
- Division of Nephrology and Endocrinology, University of Tokyo Graduate School of Medicine, Tokyo, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Tatsuhiko Tsunoda
- Department of Medical Science Mathematics, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan; Laboratory for Medical Science Mathematics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; CREST, JST, Tokyo, Japan; Laboratory for Medical Science Mathematics, Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan
| | - Nobuhiro Shojima
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Takashi Kadowaki
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Toranomon Hospital, Tokyo, Japan.
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Groopman EE, Povysil G, Goldstein DB, Gharavi AG. Rare genetic causes of complex kidney and urological diseases. Nat Rev Nephrol 2020; 16:641-656. [PMID: 32807983 PMCID: PMC7772719 DOI: 10.1038/s41581-020-0325-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/03/2020] [Indexed: 02/08/2023]
Abstract
Although often considered a single-entity, chronic kidney disease (CKD) comprises many pathophysiologically distinct disorders that result in persistently abnormal kidney structure and/or function, and encompass both monogenic and polygenic aetiologies. Rare inherited forms of CKD frequently span diverse phenotypes, reflecting genetic phenomena including pleiotropy, incomplete penetrance and variable expressivity. Use of chromosomal microarray and massively parallel sequencing technologies has revealed that genomic disorders and monogenic aetiologies contribute meaningfully to seemingly complex forms of CKD across different clinically defined subgroups and are characterized by high genetic and phenotypic heterogeneity. Investigations of prevalent genomic disorders in CKD have integrated genetic, bioinformatic and functional studies to pinpoint the genetic drivers underlying their renal and extra-renal manifestations, revealing both monogenic and polygenic mechanisms. Similarly, massively parallel sequencing-based analyses have identified gene- and allele-level variation that contribute to the clinically diverse phenotypes observed for many monogenic forms of nephropathy. Genome-wide sequencing studies suggest that dual genetic diagnoses are found in at least 5% of patients in whom a genetic cause of disease is identified, highlighting the fact that complex phenotypes can also arise from multilocus variation. A multifaceted approach that incorporates genetic and phenotypic data from large, diverse cohorts will help to elucidate the complex relationships between genotype and phenotype for different forms of CKD, supporting personalized medicine for individuals with kidney disease.
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Affiliation(s)
- Emily E Groopman
- Division of Nephrology, Columbia University College of Physicians and Surgeons, New York, NY, USA
| | - Gundula Povysil
- Institute for Genomic Medicine, Columbia University, New York, NY, USA
| | - David B Goldstein
- Institute for Genomic Medicine, Columbia University, New York, NY, USA
| | - Ali G Gharavi
- Division of Nephrology, Columbia University College of Physicians and Surgeons, New York, NY, USA.
- Institute for Genomic Medicine, Columbia University, New York, NY, USA.
- Center for Precision Medicine and Genomics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA.
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Single-cell strand sequencing of a macaque genome reveals multiple nested inversions and breakpoint reuse during primate evolution. Genome Res 2020; 30:1680-1693. [PMID: 33093070 PMCID: PMC7605249 DOI: 10.1101/gr.265322.120] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 09/02/2020] [Indexed: 12/14/2022]
Abstract
Rhesus macaque is an Old World monkey that shared a common ancestor with human ∼25 Myr ago and is an important animal model for human disease studies. A deep understanding of its genetics is therefore required for both biomedical and evolutionary studies. Among structural variants, inversions represent a driving force in speciation and play an important role in disease predisposition. Here we generated a genome-wide map of inversions between human and macaque, combining single-cell strand sequencing with cytogenetics. We identified 375 total inversions between 859 bp and 92 Mbp, increasing by eightfold the number of previously reported inversions. Among these, 19 inversions flanked by segmental duplications overlap with recurrent copy number variants associated with neurocognitive disorders. Evolutionary analyses show that in 17 out of 19 cases, the Hominidae orientation of these disease-associated regions is always derived. This suggests that duplicated sequences likely played a fundamental role in generating inversions in humans and great apes, creating architectures that nowadays predispose these regions to disease-associated genetic instability. Finally, we identified 861 genes mapping at 156 inversions breakpoints, with some showing evidence of differential expression in human and macaque cell lines, thus highlighting candidates that might have contributed to the evolution of species-specific features. This study depicts the most accurate fine-scale map of inversions between human and macaque using a two-pronged integrative approach, such as single-cell strand sequencing and cytogenetics, and represents a valuable resource toward understanding of the biology and evolution of primate species.
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A 15q25.2 microdeletion phenotype for premature ovarian failure in a Chinese girl: a case report and review of literature. BMC Med Genomics 2020; 13:126. [PMID: 32894148 PMCID: PMC7487592 DOI: 10.1186/s12920-020-00787-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 08/31/2020] [Indexed: 11/29/2022] Open
Abstract
Background Proximal microdeletions on chromosome 15q25.2 are very rare, and are associated with neurodevelopmental delay, inguinal hernia, chest deformities, and anemia. The minimum length missed so far is 1.4 Mb. However, there were no cases reported till date on microdeletions at position q25.2 on chromosome 15 with premature ovarian failure (POF). Case presentation We herein reported a POF case characterized by short stature with only 0.447 Mb deletion on chromosome 15q25.2. The clinical and molecular characteristics in our patient showed the slightest clinical manifestations, with no clinical signs of neurodevelopmental delay, inguinal hernia, chest deformities, and anemia when compared to the previously reported cases. The microdeletions in our case included only 7 genes (HOMER2, FAM103A1, C15orf40, BTBD1, TM6SF1, HDGFRP3 and BNC1), and excluded the CPEB1 gene. Among these, the BNC1 gene is the only one that is known to be involved in reproduction. We hypothesized that the deletion of BNC1 gene in this patient led to haploinsufficiency, and consequently to POF. Conclusions The study of this case increased the knowledge on the molecular and phenotypic consequences of interstitial 15q25.2 deletion, emphasizing that BNC1 gene deletion in this region might contribute to POF.
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Van L, Heung T, Malecki SL, Fenn C, Tyrer A, Sanches M, Chow EW, Boot E, Corral M, Dash S, George SR, Bassett AS. 22q11.2 microdeletion and increased risk for type 2 diabetes. EClinicalMedicine 2020; 26:100528. [PMID: 33089125 PMCID: PMC7565196 DOI: 10.1016/j.eclinm.2020.100528] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 08/12/2020] [Accepted: 08/14/2020] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND The 22q11.2 microdeletion is the pathogenic copy number variation (CNV) associated with 22q11.2 deletion syndrome (22q11.2DS, formerly known as DiGeorge syndrome). Familiar endocrinological manifestations include hypoparathyroidism and hypothyroidism, with recent elucidation of elevated risk for obesity in adults. In this study, we aimed to determine whether adults with 22q11.2DS have an increased risk of developing type 2 diabetes (T2D). METHODS We studied the effect of the 22q11.2 microdeletion on risk for T2D, defined by history and glycosylated hemoglobin (HbA1c), using weighted survey data from the adult Canadian population (based on n = 11,874) and from a clinical cohort of adults with 22q11.2DS (n = 314), aged 17-69 years. Binomial logistic regression models accounted for age, sex, non-European ethnicity, family history of T2D, obesity, and antipsychotic medication use. FINDINGS The 22q11.2 microdeletion was a significant independent risk factor for T2D (OR 2·44, 95% CI 1·39-4·31), accounting for other factors (p < 0·0001). All factors except sex were also significant within 22q11.2DS. The median age at diagnosis of T2D was significantly younger in 22q11.2DS than in the Canadian population sample (32 vs 50 years, p < 0·0001). In adults without T2D, HbA1c was significantly higher in 22q11.2DS than the population (p = 0·042), after accounting for younger age of the 22q11.2DS group. INTERPRETATION The results support the 22q11.2 microdeletion as a novel independent risk factor and potential model for early onset T2D. The findings complement emerging evidence that rare CNVs may contribute to risk for T2D. The results have implications for precision medicine and research into the underlying pathogenesis of T2D.
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Affiliation(s)
- Lily Van
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Tracy Heung
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- The Dalglish Family 22q Clinic, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Sarah L. Malecki
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Christian Fenn
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Undergraduate Medical Education, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Andrea Tyrer
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Undergraduate Medical Education, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Marcos Sanches
- Biostatistical Consulting Service, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Eva W.C. Chow
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Erik Boot
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- The Dalglish Family 22q Clinic, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
- Advisium, ’s Heeren Loo Zorggroep, Amersfoort, the Netherlands
| | - Maria Corral
- The Dalglish Family 22q Clinic, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Satya Dash
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Banting & Best Diabetes Center, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Susan R. George
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
- Department of Pharmacology, University of Toronto, Toronto, Ontario, Canada
| | - Anne S. Bassett
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- The Dalglish Family 22q Clinic, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
- Toronto Congenital Cardiac Centre for Adults, and Division of Cardiology, Department of Medicine, University Health Network, Toronto, Ontario, Canada
- Toronto General Research Institute and Campbell Family Mental Health Research Institute, Toronto, Ontario, Canada
- Corresponding author at: The Dalglish Family 22q Clinic, Toronto General Hospital, 200 Elizabeth Street, 8NU-802 Toronto, ON M4G 2C5, Canada.
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Hays T, Groopman EE, Gharavi AG. Genetic testing for kidney disease of unknown etiology. Kidney Int 2020; 98:590-600. [PMID: 32739203 PMCID: PMC7784921 DOI: 10.1016/j.kint.2020.03.031] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 03/09/2020] [Accepted: 03/25/2020] [Indexed: 01/01/2023]
Abstract
In many cases of chronic kidney disease, the cause of disease remains unknown despite a thorough nephrologic workup. Genetic testing has revolutionized many areas of medicine and promises to empower diagnosis and targeted management of such cases of kidney disease of unknown etiology. Recent studies using genetic testing have demonstrated that Mendelian etiologies account for approximately 20% of cases of kidney disease of unknown etiology. Although genetic testing has significant benefits, including tailoring of therapy, informing targeted workup, detecting extrarenal disease, counseling patients and families, and redirecting care, it also has important limitations and risks that must be considered.
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Affiliation(s)
- Thomas Hays
- Department of Pediatrics, Division of Neonatology and Perinatology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Emily E Groopman
- Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Ali G Gharavi
- Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA; Institute for Genomic Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA; Center for Precision Medicine and Genomics, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.
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Cai M, Lin N, Lin Y, Huang H, Xu L. Evaluation of chromosomal abnormalities and copy number variations in late trimester pregnancy using cordocentesis. Aging (Albany NY) 2020; 12:15556-15565. [PMID: 32805723 PMCID: PMC7467360 DOI: 10.18632/aging.103575] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 06/09/2020] [Indexed: 01/30/2023]
Abstract
Because the numbers of detected fetal abnormalities increase as gestation progresses, we evaluated the safety and efficacy of cordocentesis for single nucleotide polymorphism (SNP) analysis tests in 754 women during third trimester pregnancy. Conventional karyotyping was performed on all fetuses, and Affymetrix CytoScan HD was used for SNP-array testing. In addition to the 24 cases with chromosomal abnormalities detected with conventional karyotyping analysis, the SNP-array test identified 56 (7.4%) cases with normal karyotypes but abnormal copy number variations (CNVs). Of those, 24 were pathogenic CNVs and 32 were of uncertain clinical significance. In 742 of the cases, there were abnormal sonographic findings, and cytogenetic abnormalities were detected in 76 cases (10.2%). The largest number of abnormalities involved multiple malformations (21.7%), followed by defects in the lymphatics or effusion (19.0%) or urogenital system (15.3%). The use of SNP-array test fully complemented chromosome karyotype analysis after late cordocentesis. It also improved the detection rate for fetal chromosomal abnormalities and was effective for preventing and controlling the occurrence of birth defects.
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Affiliation(s)
- Meiying Cai
- Department of the Prenatal Diagnosis Center, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China
| | - Na Lin
- Department of the Prenatal Diagnosis Center, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China
| | - Yuan Lin
- Department of the Prenatal Diagnosis Center, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China
| | - Hailong Huang
- Department of the Prenatal Diagnosis Center, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China
| | - Liangpu Xu
- Department of the Prenatal Diagnosis Center, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China
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Genotype and Phenotype Analyses in Pediatric Patients with HNF1B Mutations. J Clin Med 2020; 9:jcm9072320. [PMID: 32708349 PMCID: PMC7408390 DOI: 10.3390/jcm9072320] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2020] [Revised: 07/15/2020] [Accepted: 07/17/2020] [Indexed: 01/01/2023] Open
Abstract
HNF1B mutations, one of the most common causes of congenital anomalies of the kidney and urinary tract, manifest as various renal and extrarenal phenotypes. We analyzed the genotype-phenotype correlations in 14 pediatric patients with HNF1B mutations. Genetic studies revealed total gene deletion in six patients (43%). All patients had bilateral renal abnormalities, primarily multiple renal cysts. Twelve patients exhibited progressive renal functional deterioration, and six of them progressed to kidney failure. The annual reduction in estimated glomerular filtration rate was−2.1 mL/min/1.73 m2. Diabetes developed in five patients (36%), including one patient with new-onset diabetes after transplantation. Neurological deficits were noted in three patients (21%), one with total gene deletion and two with missense mutations. Pancreatic abnormalities were more frequent in patients with missense mutations than in patients with other types of mutations. Genotype showed no significant correlation with renal outcomes or other extrarenal manifestations. The HNF1B scores at the times of onset and genetic diagnosis were <8 in two patients and one patient, respectively. Diagnosis of HNF1B mutations is clinically difficult because of extreme phenotypic variability and incomplete penetrance. Furthermore, some phenotypes develop with age. Therefore, patient age should be taken into consideration to increase the diagnostic rate, because some phenotypes develop with age.
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Human and mouse studies establish TBX6 in Mendelian CAKUT and as a potential driver of kidney defects associated with the 16p11.2 microdeletion syndrome. Kidney Int 2020; 98:1020-1030. [PMID: 32450157 DOI: 10.1016/j.kint.2020.04.045] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 03/03/2020] [Accepted: 04/09/2020] [Indexed: 12/22/2022]
Abstract
Congenital anomalies of the kidney and urinary tract (CAKUTs) are the most common cause of chronic kidney disease in children. Human 16p11.2 deletions have been associated with CAKUT, but the responsible molecular mechanism remains to be illuminated. To explore this, we investigated 102 carriers of 16p11.2 deletion from multi-center cohorts, among which we retrospectively ascertained kidney morphologic and functional data from 37 individuals (12 Chinese and 25 Caucasian/Hispanic). Significantly higher CAKUT rates were observed in 16p11.2 deletion carriers (about 25% in Chinese and 16% in Caucasian/Hispanic) than those found in the non-clinically ascertained general populations (about 1/1000 found at autopsy). Furthermore, we identified seven additional individuals with heterozygous loss-of-function variants in TBX6, a gene that maps to the 16p11.2 region. Four of these seven cases showed obvious CAKUT. To further investigate the role of TBX6 in kidney development, we engineered mice with mutated Tbx6 alleles. The Tbx6 heterozygous null (i.e., loss-of-function) mutant (Tbx6+/‒) resulted in 13% solitary kidneys. Remarkably, this incidence increased to 29% in a compound heterozygous model (Tbx6mh/‒) that reduced Tbx6 gene dosage to below haploinsufficiency, by combining the null allele with a novel mild hypomorphic allele (mh). Renal hypoplasia was also frequently observed in these Tbx6-mutated mouse models. Thus, our findings in patients and mice establish TBX6 as a novel gene involved in CAKUT and its gene dosage insufficiency as a potential driver for kidney defects observed in the 16p11.2 microdeletion syndrome.
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Xu A, Lin Y, Sheng H, Cheng J, Mei H, Ting TH, Zeng C, Liang C, Zhang W, Li C, Li X, Liu L. Molecular diagnosis of maturity-onset diabetes of the young in a cohort of Chinese children. Pediatr Diabetes 2020; 21:431-440. [PMID: 31957151 DOI: 10.1111/pedi.12985] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 12/12/2019] [Accepted: 01/13/2020] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE The purpose of this study was to investigate the molecular basis of maturity-onset diabetes of the young (MODY) by whole-exome sequencing (WES) and estimate the frequency and describe the clinical characteristics of MODY in southern China. METHODS Genetic analysis was performed in 42 patients with MODY aged 1 month to 18 years among a cohort of 759 patients with diabetes, identified with the following four clinical criteria: age of diagnosis ≤18 years; negative pancreatic autoantibodies; family history of diabetes; or persistently detectable C-peptide; or diabetes associated with extrapancreatic features. GCK gene mutations were first screened by Sanger sequencing. GCK mutation-negative patients were further analyzed by WES. RESULTS Mutations were identified in 24 patients: 20 mutations in GCK, 1 in HNF4A, 1 in INS, 1 in ABCC8, and a 17q12 microdeletion. Four previously unpublished novel GCK mutations: c.1108G>C in exon 9, and c.1339C>T, c.1288_1290delCTG, and c.1340_1343delGGGGinsCTGGTCT in exon 10 were detected. WES identified a novel missense mutation c.311A>G in exon 3 in the INS gene, and copy number variation analysis detected a 1.4 Mb microdeletion in the long arm of the chromosome 17q12 region. Compared with mutation-negative subjects, the mutation-positive subjects had lower hemoglobin A1c and initial blood glucose levels. CONCLUSIONS Most MODY cases in this study were due to GCK mutations, which is in contrast to previous reports in Chinese patients. Diabetes associated with extrapancreatic features should be a clinical criterion for MODY genetic analysis. Mutational analysis by WES provided a precise diagnosis of MODY subtypes. Moreover, WES can be useful for detecting large deletions in coding regions in addition to point mutations.
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Affiliation(s)
- Aijing Xu
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Yunting Lin
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Huiying Sheng
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Jing Cheng
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Huifen Mei
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Tzer Hwu Ting
- Department of Paediatrics, Faculty of Medicine & Health Sciences, University Putra Malaysia, Serdang, Malaysia
| | - Chunhua Zeng
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Cuili Liang
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Wen Zhang
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Cuiling Li
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Xiuzhen Li
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Li Liu
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
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Ahn YH, Lee C, Kim NKD, Park E, Kang HG, Ha IS, Park WY, Cheong HI. Targeted Exome Sequencing Provided Comprehensive Genetic Diagnosis of Congenital Anomalies of the Kidney and Urinary Tract. J Clin Med 2020; 9:jcm9030751. [PMID: 32164334 PMCID: PMC7141392 DOI: 10.3390/jcm9030751] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 02/28/2020] [Accepted: 03/08/2020] [Indexed: 12/13/2022] Open
Abstract
Congenital anomalies of the kidney and urinary tract (CAKUT) are the most common cause of chronic kidney disease in children. The search for genetic causes of CAKUT has led to genetic diagnosis in approximately 5-20 % of CAKUT patients from Western countries. In this study, genetic causes of CAKUT in Korean children were sought using targeted exome sequencing (TES) of 60 genes reported to cause CAKUT in human or murine models. We identified genetic causes in 13.8% of the 94 recruited patients. Pathogenic single nucleotide variants of five known disease-causing genes, HNF1B, PAX2, EYA1, UPK3A, and FRAS1 were found in 7 cases. Pathogenic copy number variations of 6 patients were found in HNF1B, EYA1, and CHD1L. Genetic abnormality types did not significantly differ according to CAKUT phenotypes. Patients with pathogenic variants of targeted genes had syndromic features more frequently than those without (p < 0.001). This is the first genetic analysis study of Korean patients with CAKUT. Only one-seventh of patients were found to have pathogenic mutations in known CAKUT-related genes, indicating that there are more CAKUT-causing genes or environmental factors to discover.
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Affiliation(s)
- Yo Han Ahn
- Department of Pediatrics, Seoul National University College of Medicine, Seoul 03080, Korea; (Y.H.A.); (E.P.); (I.-S.H.); (H.I.C.)
- Department of Pediatrics, Seoul National University Children’s Hospital, Seoul 03080, Korea
| | - Chung Lee
- Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea; (C.L.); (N.K.D.K.); (W.-Y.P.)
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06351, Korea
| | - Nayoung K. D. Kim
- Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea; (C.L.); (N.K.D.K.); (W.-Y.P.)
| | - Eujin Park
- Department of Pediatrics, Seoul National University College of Medicine, Seoul 03080, Korea; (Y.H.A.); (E.P.); (I.-S.H.); (H.I.C.)
- Department of Pediatrics, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul 07441, Korea
| | - Hee Gyung Kang
- Department of Pediatrics, Seoul National University College of Medicine, Seoul 03080, Korea; (Y.H.A.); (E.P.); (I.-S.H.); (H.I.C.)
- Department of Pediatrics, Seoul National University Children’s Hospital, Seoul 03080, Korea
- Kidney Research Institute, Medical Research Center, Seoul National University College of Medicine, Seoul 03080, Korea
- Correspondence:
| | - Il-Soo Ha
- Department of Pediatrics, Seoul National University College of Medicine, Seoul 03080, Korea; (Y.H.A.); (E.P.); (I.-S.H.); (H.I.C.)
- Department of Pediatrics, Seoul National University Children’s Hospital, Seoul 03080, Korea
- Kidney Research Institute, Medical Research Center, Seoul National University College of Medicine, Seoul 03080, Korea
| | - Woong-Yang Park
- Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea; (C.L.); (N.K.D.K.); (W.-Y.P.)
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06351, Korea
- Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon 16419, Korea
| | - Hae Il Cheong
- Department of Pediatrics, Seoul National University College of Medicine, Seoul 03080, Korea; (Y.H.A.); (E.P.); (I.-S.H.); (H.I.C.)
- Department of Pediatrics, Seoul National University Children’s Hospital, Seoul 03080, Korea
- Kidney Research Institute, Medical Research Center, Seoul National University College of Medicine, Seoul 03080, Korea
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Deng Q, Huang L, Liu J, Fang F, Liu Z, Zhang Y, Li F, Liao C. Prenatal diagnosis of submicroscopic chromosomal aberrations in fetuses with congenital cystic adenomatoid malformation by chromosomal microarray analysis. J Matern Fetal Neonatal Med 2019; 34:2623-2629. [PMID: 31581877 DOI: 10.1080/14767058.2019.1670793] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
OBJECTIVES To explore the copy number variations (CNVs) of fetal congenital cystic adenomatoid malformation (CCAM). METHODS Fetuses with CCAM were investigated by karyotypes and chromosomal microarray analysis (CMA). The cases were classified as isolated or CCAM with additional structural anomalies. The pregnancy outcome and neonatal prognosis were reported after the follow-up investigation. RESULTS The karyotypes of 43 fetuses were analyzed and no abnormal karyotype was detected. Thirty-seven cases were further tested using CMA. The CMA identified pathogenic CNVs in three fetuses with a pathogenic detection rate of 8.1%. Well-known microdeletion or microduplication syndromes, including RCAD syndrome, HNPP, and CMT1A were identified, among which HNPP and CMT1A were incidental findings. After excluding two incidental findings, there were no pathogenic CNVs in isolated CCAM. There were no significant differences in pathogenic CNVs between isolated CCAM and CCAM with additional structural anomalies (0%, 0/31 versus 16.7%, 1/6, p=.162). Nearly half of the patients (53.8%, 14/26) underwent surgery after birth with good postoperative recoveries while the remaining half patients were spontaneous regression or asymptomatic. CONCLUSIONS The results demonstrated the value of CMA in the prenatal diagnosis of CCAM. CCAM associated with other structural defects enhanced the frequency of pathogenic CNVs while isolated CCAM may not be associated with an increase in the prevalence of pathogenic CNVs. CCAMs have an overall good prognosis.
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Affiliation(s)
- Qiong Deng
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Lihua Huang
- Qingyuan Maternal and Child Health Hospital, Qingyuan, Guangdong, China
| | - Juan Liu
- Department of Obstetrics, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, Foshan, Guangdong, China
| | - Fu Fang
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Zequn Liu
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Yongling Zhang
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Fatao Li
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Can Liao
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
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Vasileiou G, Hoyer J, Thiel CT, Schaefer J, Zapke M, Krumbiegel M, Kraus C, Zweier M, Uebe S, Ekici AB, Schneider M, Wiesener M, Rauch A, Faschingbauer F, Reis A, Zweier C, Popp B. Prenatal diagnosis of HNF1B-associated renal cysts: Is there a need to differentiate intragenic variants from 17q12 microdeletion syndrome? Prenat Diagn 2019; 39:1136-1147. [PMID: 31498910 DOI: 10.1002/pd.5556] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 07/14/2019] [Accepted: 08/20/2019] [Indexed: 12/30/2022]
Abstract
OBJECTIVE 17q12 microdeletions containing HNF1B and intragenic variants within this gene are associated with variable developmental, endocrine, and renal anomalies, often already noted prenatally as hyperechogenic/cystic kidneys. Here, we describe prenatal and postnatal phenotypes of seven individuals with HNF1B aberrations and compare their clinical and genetic data to those of previous studies. METHODS Prenatal sequencing and postnatal chromosomal microarray analysis were performed in seven individuals with renal and/or neurodevelopmental phenotypes. We evaluated HNF1B-related clinical features from 82 studies and reclassified 192 reported intragenic HNF1B variants. RESULTS In a prenatal case, we identified a novel in-frame deletion p.(Gly239del) within the HNF1B DNA-binding domain, a mutational hot spot as demonstrated by spatial clustering analysis and high computational prediction scores. The six postnatally diagnosed individuals harbored 17q12 microdeletions. Literature screening revealed variable reporting of HNF1B-associated clinical traits. Overall, both mutation groups showed a high phenotypic heterogeneity. The reclassification of all previously reported intragenic HNF1B variants provided an up-to-date overview of the mutational spectrum. CONCLUSIONS We highlight the value of prenatal HNF1B screening in renal developmental diseases. Standardized clinical reporting and systematic classification of HNF1B variants are necessary for a more accurate risk quantification of prenatal and postnatal clinical features, improving genetic counseling and prenatal decision making.
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Affiliation(s)
- Georgia Vasileiou
- Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Juliane Hoyer
- Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Christian T Thiel
- Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Jan Schaefer
- Department of Pediatrics and Adolescent Medicine, University Hospital of Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Maren Zapke
- Department of Pediatrics and Adolescent Medicine, University Hospital of Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Mandy Krumbiegel
- Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Cornelia Kraus
- Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Markus Zweier
- Institute of Medical Genetics, University of Zurich, Schlieren-Zurich, Switzerland
| | - Steffen Uebe
- Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Arif B Ekici
- Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Michael Schneider
- Department of Obstetrics and Gynecology, Erlangen University Hospital, Erlangen, Germany
| | - Michael Wiesener
- Department of Nephrology and Hypertension, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Anita Rauch
- Institute of Medical Genetics, University of Zurich, Schlieren-Zurich, Switzerland
| | - Florian Faschingbauer
- Department of Obstetrics and Gynecology, Erlangen University Hospital, Erlangen, Germany
| | - André Reis
- Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Christiane Zweier
- Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Bernt Popp
- Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.,Institute of Human Genetics, University of Leipzig Hospitals and Clinics, Leipzig, Germany
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Li HJ, Groden C, Hoenig MP, Ray EC, Ferreira CR, Gahl W, Novacic D. Case report: extreme coronary calcifications and hypomagnesemia in a patient with a 17q12 deletion involving HNF1B. BMC Nephrol 2019; 20:353. [PMID: 31500578 PMCID: PMC6734489 DOI: 10.1186/s12882-019-1533-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2019] [Accepted: 08/23/2019] [Indexed: 01/30/2023] Open
Abstract
Background 17q12 deletion syndrome encompasses a broad constellation of clinical phenotypes, including renal magnesium wasting, maturity-onset diabetes of the young (MODY), renal cysts, genitourinary malformations, and neuropsychiatric illness. Manifestations outside of the renal, endocrine, and nervous systems have not been well described. Case presentation We report a 62-year-old male referred to the Undiagnosed Diseases Program (UDP) at the National Institutes of Health (NIH) who presented with persistent hypermagnesiuric hypomagnesemia and was found to have a 17q12 deletion. The patient exhibited several known manifestations of the syndrome, including severe hypomagnesemia, renal cysts, diabetes and cognitive deficits. Coronary CT revealed extensive coronary calcifications, with a coronary artery calcification score of 12,427. Vascular calcifications have not been previously reported in this condition. We describe several physiologic mechanisms and a review of literature to support the expansion of the 17q12 deletion syndrome to include vascular calcification. Conclusion Extensive coronary and vascular calcifications may be an extension of the 17q12 deletion phenotype, particularly if hypomagnesemia and hyperparathyroidism are prevalent. In patients with 17q12 deletions involving HNF1B, hyperparathyroidism and hypomagnesemia may contribute to significant cardiovascular risk.
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Affiliation(s)
- Howard J Li
- Harvard Medical School, Boston, MA, 02115, USA.,National Institute of Mental Health, NIH, Bethesda, MD, 20892, USA
| | - Catherine Groden
- Undiagnosed Diseases Program, Office of the Clinical Director and National Human Genome Research Institute, NIH, Bethesda, MD, 20892, USA
| | - Melanie P Hoenig
- Harvard Medical School, Boston, MA, 02115, USA.,Division of Nephrology, Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA
| | - Evan C Ray
- Renal-Electrolyte Division, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Carlos R Ferreira
- Medical Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, MD, USA
| | - Willam Gahl
- Undiagnosed Diseases Program, Office of the Clinical Director and National Human Genome Research Institute, NIH, Bethesda, MD, 20892, USA.,Medical Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, MD, USA
| | - Danica Novacic
- Undiagnosed Diseases Program, Office of the Clinical Director and National Human Genome Research Institute, NIH, Bethesda, MD, 20892, USA.
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Abstract
Autosomal dominant tubulointerstitial kidney disease (ADTKD) is a recently defined entity that includes rare kidney diseases characterized by tubular damage and interstitial fibrosis in the absence of glomerular lesions, with inescapable progression to end-stage renal disease. These diseases have long been neglected and under-recognized, in part due to confusing and inconsistent terminology. The introduction of a gene-based, unifying terminology led to the identification of an increasing number of cases, with recent data suggesting that ADTKD is one of the more common monogenic kidney diseases after autosomal dominant polycystic kidney disease, accounting for ~5% of monogenic disorders causing chronic kidney disease. ADTKD is caused by mutations in at least five different genes, including UMOD, MUC1, REN, HNF1B and, more rarely, SEC61A1. These genes encode various proteins with renal and extra-renal functions. The mundane clinical characteristics and lack of appreciation of family history often result in a failure to diagnose ADTKD. This Primer highlights the different types of ADTKD and discusses the distinct genetic and clinical features as well as the underlying mechanisms.
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Hu T, Zhang Z, Wang J, Li Q, Zhu H, Lai Y, Wang H, Liu S. Prenatal diagnosis of chromosomal aberrations by chromosomal microarray analysis in fetuses with ultrasound anomalies in the urinary system. Prenat Diagn 2019; 39:1096-1106. [PMID: 31461547 DOI: 10.1002/pd.5550] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2019] [Revised: 08/18/2019] [Accepted: 08/20/2019] [Indexed: 12/27/2022]
Abstract
OBJECTIVES This study aimed to explore the relationships between urinary anomalies and copy number variations (CNVs) in fetuses and provide information for prenatal diagnosis and genetic counseling for parents. METHODS Three hundred seventeen fetuses with urinary system anomalies detected by prenatal ultrasound were enrolled; 251 had isolated urinary system anomalies, and 66 had nonisolated system anomalies. CMA was performed on the Affymetrix 750K platform. RESULTS The frequency of chromosomal aberrations in fetuses with urinary system anomalies was 11.04%, including 6.31% with pathogenic CNVs (pCNVs). The detection rate of chromosomal abnormalities was significantly higher for the fetuses with nonisolated urinary system anomalies than for those with isolated urinary system anomalies. Seven fetuses (25.93%) with echogenic kidneys were identified with pCNVs; this detection rate was significantly higher than that for fetuses with other urinary anomalies. A 17q12 deletion was detected in eight fetuses with urinary anomalies, accounting for 40% of pCNVs. CONCLUSION CMA is especially valuable in the prenatal diagnosis of fetuses with urinary system anomalies. The pCNV rates differed between the isolated and nonisolated subgroups of urinary anomalies. Fetuses with echogenic kidneys had the highest rate of pCNVs. The 17q12 deletion was the most frequent pCNV in fetuses with urinary anomalies.
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Affiliation(s)
- Ting Hu
- Department of Obstetrics and Gynecology, West China Second University Hospital Sichuan University, Chengdu, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
| | - Zhu Zhang
- Department of Obstetrics and Gynecology, West China Second University Hospital Sichuan University, Chengdu, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
| | - Jiamin Wang
- Department of Obstetrics and Gynecology, West China Second University Hospital Sichuan University, Chengdu, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
| | - Qinqin Li
- Department of Obstetrics and Gynecology, West China Second University Hospital Sichuan University, Chengdu, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
| | - Hongmei Zhu
- Department of Obstetrics and Gynecology, West China Second University Hospital Sichuan University, Chengdu, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
| | - Yi Lai
- Department of Obstetrics and Gynecology, West China Second University Hospital Sichuan University, Chengdu, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
| | - He Wang
- Department of Obstetrics and Gynecology, West China Second University Hospital Sichuan University, Chengdu, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
| | - Shanling Liu
- Department of Obstetrics and Gynecology, West China Second University Hospital Sichuan University, Chengdu, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
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Wan S, Zheng Y, Dang Y, Song T, Chen B, Zhang J. Prenatal diagnosis of 17q12 microdeletion and microduplication syndrome in fetuses with congenital renal abnormalities. Mol Cytogenet 2019; 12:19. [PMID: 31131025 PMCID: PMC6525371 DOI: 10.1186/s13039-019-0431-7] [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: 02/19/2019] [Accepted: 04/29/2019] [Indexed: 12/17/2022] Open
Abstract
Background Copy number variations (CNVs) involving the 17q12 region are associated with a broad range of clinical phenotypes. Deletion of the 17q12 chromosome results in structural or functional abnormalities in the kidney and urethra, type 5 diabetes (MODY5), and neurodevelopmental or neuropsychiatric disorders. Microduplication of 17q12 is rare and is associated with an increased risk of epilepsy and mental retardation. We studied the prenatal diagnosis of 17q12 microduplication and microdeletion syndrome in fetuses with congenital renal abnormalities. Case presentation We conducted a retrospective analysis of prenatal diagnoses in our hospital from January 2016 to April 2018. Abnormal renal ultrasound findings were present in 126 fetuses and the incidence of chromosomal abnormalities was 10.32%(13/126). Conventional karyotyping detected 7 of 126 fetuses as aneuploid (5.56%). In addition, chromosome microarray analysis (CMA) detected 6 fetuses(4.76%) with copy number variations (CNVs), of which 5 were shown to have 17q12 microdeletion syndrome and 1 had 17q12 microduplication syndrome. We followed up these pregnant women. The results of the testing had a significant impact on pregnancy outcome. The phenotypes of 17q12 microdeletions and microduplications vary widely, affecting patients in different ways, such as language delays, social deficiencies, and even abortion. Conclusions The characteristics of 17q12 microdeletions and microduplications are so vague that the condition is often misdiagnosed or missed. This study demonstrated that karyotype analysis combined with CMA can significantly improve the diagnostic rate in prenatal diagnosis of CNVs, which can provide evidence for genetic counseling in such pregnancies.
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Affiliation(s)
- Shanning Wan
- Department of Obstetrics and Gynecology, The First Affiliated Hospital Of AFMU (Air Force Medical University), 127 ChangLe West Road, Xi'an, 710032 Shaanxi China
| | - Yunyun Zheng
- Department of Obstetrics and Gynecology, The First Affiliated Hospital Of AFMU (Air Force Medical University), 127 ChangLe West Road, Xi'an, 710032 Shaanxi China
| | - Yinghui Dang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital Of AFMU (Air Force Medical University), 127 ChangLe West Road, Xi'an, 710032 Shaanxi China
| | - Tingting Song
- Department of Obstetrics and Gynecology, The First Affiliated Hospital Of AFMU (Air Force Medical University), 127 ChangLe West Road, Xi'an, 710032 Shaanxi China
| | - Biliang Chen
- Department of Obstetrics and Gynecology, The First Affiliated Hospital Of AFMU (Air Force Medical University), 127 ChangLe West Road, Xi'an, 710032 Shaanxi China
| | - Jianfang Zhang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital Of AFMU (Air Force Medical University), 127 ChangLe West Road, Xi'an, 710032 Shaanxi China
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50
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Park KB, Nam KE, Cho AR, Jang W, Kim M, Park JH. Effects of Copy Number Variations on Developmental Aspects of Children With Delayed Development. Ann Rehabil Med 2019; 43:215-223. [PMID: 31072088 PMCID: PMC6509583 DOI: 10.5535/arm.2019.43.2.215] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Accepted: 10/19/2018] [Indexed: 11/06/2022] Open
Abstract
Objective To determine effects of copy number variations (CNV) on developmental aspects of children suspected of having delayed development. Methods A retrospective chart review was done for 65 children who underwent array-comparative genomic hybridization after visiting physical medicine & rehabilitation department of outpatient clinic with delayed development as chief complaints. Children were evaluated with Denver Developmental Screening Test II (DDST-II), Sequenced Language Scale for Infants (SELSI), or Preschool Receptive-Expressive Language Scale (PRES). A Mann-Whitney U test was conducted to determine statistical differences of developmental quotient (DQ), receptive language quotient (RLQ), and expressive language quotient (ELQ) between children with CNV (CNV(+) group, n=16) and children without CNV (CNV(–) group, n=37). Results Of these subjects, the average age was 35.1 months (mean age, 35.1±24.2 months). Sixteen (30.2%) patients had copy number variations. In the CNV(+) group, 14 children underwent DDST-II. In the CNV(–) group, 29 children underwent DDST-II. Among variables, gross motor scale was significantly (p=0.038) lower in the CNV(+) group compared with the CNV(–) group. In the CNV(+) group, 5 children underwent either SELSI or PRES. In the CNV(–) group, 27 children underwent above language assessment examination. Both RLQ and ELQ were similar between the two groups. Conclusion The gross motor domain in DQ was significantly lower in children with CNV compared to that in children without CNV. This result suggests that additional genetic factors contribute to this variability. Active detection of genomic imbalance could play a vital role when prominent gross motor delay is presented in children with delayed development.
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Affiliation(s)
- Kee-Boem Park
- Department of Rehabilitation Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Kyung Eun Nam
- Department of Rehabilitation Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Ah-Ra Cho
- Department of Rehabilitation Medicine, St. Paul's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Woori Jang
- Department of Laboratory Medicine College of Medicine, The Catholic University of Korea, Seoul, Korea.,Department of Catholic Genetic Laboratory Center, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Myungshin Kim
- Department of Laboratory Medicine College of Medicine, The Catholic University of Korea, Seoul, Korea.,Department of Catholic Genetic Laboratory Center, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Joo Hyun Park
- Department of Rehabilitation Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
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