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      Characterization of rare ABCC8 variants identified in Spanish pulmonary arterial hypertension patients

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          Abstract

          Pulmonary Arterial Hypertension (PAH) is a rare and fatal disease where knowledge about its genetic basis continues to increase. In this study, we used targeted panel sequencing in a cohort of 624 adult and pediatric patients from the Spanish PAH registry. We identified 11 rare variants in the ATP-binding Cassette subfamily C member 8 ( ABCC8) gene, most of them with splicing alteration predictions. One patient also carried another variant in SMAD1 gene (c.27delinsGTAAAG). We performed an ABCC8 in vitro biochemical analyses using hybrid minigenes to confirm the correct mRNA processing of 3 missense variants (c.211C > T p.His71Tyr, c.298G > A p.Glu100Lys and c.1429G > A p.Val477Met) and the skipping of exon 27 in the novel splicing variant c.3394G > A. Finally, we used structural protein information to further assess the pathogenicity of the variants. The results showed 11 novel changes in ABCC8 and 1 in SMAD1 present in PAH patients. After in silico and in vitro biochemical analyses, we classified 2 as pathogenic (c.3288_3289del and c.3394G > A), 6 as likely pathogenic (c.211C > T, c.1429G > A, c.1643C > T, c.2422C > A, c.2694 + 1G > A, c.3976G > A and SMAD1 c.27delinsGTAAAG) and 3 as Variants of Uncertain Significance (c.298G > A, c.2176G > A and c.3238G > A). In all, we show that coupling in silico tools with in vitro biochemical studies can improve the classification of genetic variants.

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          Most cited references40

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          dbNSFP v3.0: A One-Stop Database of Functional Predictions and Annotations for Human Nonsynonymous and Splice-Site SNVs.

          The purpose of the dbNSFP is to provide a one-stop resource for functional predictions and annotations for human nonsynonymous single-nucleotide variants (nsSNVs) and splice-site variants (ssSNVs), and to facilitate the steps of filtering and prioritizing SNVs from a large list of SNVs discovered in an exome-sequencing study. A list of all potential nsSNVs and ssSNVs based on the human reference sequence were created and functional predictions and annotations were curated and compiled for each SNV. Here, we report a recent major update of the database to version 3.0. The SNV list has been rebuilt based on GENCODE 22 and currently the database includes 82,832,027 nsSNVs and ssSNVs. An attached database dbscSNV, which compiled all potential human SNVs within splicing consensus regions and their deleteriousness predictions, add another 15,030,459 potentially functional SNVs. Eleven prediction scores (MetaSVM, MetaLR, CADD, VEST3, PROVEAN, 4× fitCons, fathmm-MKL, and DANN) and allele frequencies from the UK10K cohorts and the Exome Aggregation Consortium (ExAC), among others, have been added. The original seven prediction scores in v2.0 (SIFT, 2× Polyphen2, LRT, MutationTaster, MutationAssessor, and FATHMM) as well as many SNV and gene functional annotations have been updated. dbNSFP v3.0 is freely available at http://sites.google.com/site/jpopgen/dbNSFP.
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            Familial primary pulmonary hypertension (gene PPH1) is caused by mutations in the bone morphogenetic protein receptor-II gene.

            Familial primary pulmonary hypertension is a rare autosomal dominant disorder that has reduced penetrance and that has been mapped to a 3-cM region on chromosome 2q33 (locus PPH1). The phenotype is characterized by monoclonal plexiform lesions of proliferating endothelial cells in pulmonary arterioles. These lesions lead to elevated pulmonary-artery pressures, right-ventricular failure, and death. Although primary pulmonary hypertension is rare, cases secondary to known etiologies are more common and include those associated with the appetite-suppressant drugs, including phentermine-fenfluramine. We genotyped 35 multiplex families with the disorder, using 27 microsatellite markers; we constructed disease haplotypes; and we looked for evidence of haplotype sharing across families, using the program TRANSMIT. Suggestive evidence of sharing was observed with markers GGAA19e07 and D2S307, and three nearby candidate genes were examined by denaturing high-performance liquid chromatography on individuals from 19 families. One of these genes (BMPR2), which encodes bone morphogenetic protein receptor type II, was found to contain five mutations that predict premature termination of the protein product and two missense mutations. These mutations were not observed in 196 control chromosomes. These findings indicate that the bone morphogenetic protein-signaling pathway is defective in patients with primary pulmonary hypertension and may implicate the pathway in the nonfamilial forms of the disease.
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              Prediction of human mRNA donor and acceptor sites from the DNA sequence.

              Artificial neural networks have been applied to the prediction of splice site location in human pre-mRNA. A joint prediction scheme where prediction of transition regions between introns and exons regulates a cutoff level for splice site assignment was able to predict splice site locations with confidence levels far better than previously reported in the literature. The problem of predicting donor and acceptor sites in human genes is hampered by the presence of numerous amounts of false positives: here, the distribution of these false splice sites is examined and linked to a possible scenario for the splicing mechanism in vivo. When the presented method detects 95% of the true donor and acceptor sites, it makes less than 0.1% false donor site assignments and less than 0.4% false acceptor site assignments. For the large data set used in this study, this means that on average there are one and a half false donor sites per true donor site and six false acceptor sites per true acceptor site. With the joint assignment method, more than a fifth of the true donor sites and around one fourth of the true acceptor sites could be detected without accompaniment of any false positive predictions. Highly confident splice sites could not be isolated with a widely used weight matrix method or by separate splice site networks. A complementary relation between the confidence levels of the coding/non-coding and the separate splice site networks was observed, with many weak splice sites having sharp transitions in the coding/non-coding signal and many stronger splice sites having more ill-defined transitions between coding and non-coding.
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                Author and article information

                Contributors
                dianaval@uvigo.es
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                15 September 2020
                15 September 2020
                2020
                : 10
                : 15135
                Affiliations
                [1 ]GRID grid.6312.6, ISNI 0000 0001 2097 6738, CINBIO, Universidade de Vigo, ; Vigo, Spain
                [2 ]Instituto de Investigación Sanitaria Galicia Sur, Hospital Álvaro Cunqueiro, Vigo, Spain
                [3 ]Instituto de Genética Médica y Molecular (INGEMM), Hospital Universitario La Paz-IdiPaz, Universidad Autónoma de Madrid, Madrid, Spain
                [4 ]GRID grid.413448.e, ISNI 0000 0000 9314 1427, Centro de Investigación Biomédica en Red de enfermedades Raras (CIBERER), , Instituto de Salud Carlos III, ; Madrid, Spain
                [5 ]ITHACA, European Reference Network on Rare Congenital Malformations and Rare Intellectual Disability, Brussels, Belgium
                [6 ]GRID grid.411280.e, ISNI 0000 0001 1842 3755, Servicio de Cardiología, , Hospital Universitario Río Hortega, ; Valladolid, Spain
                [7 ]GRID grid.413448.e, ISNI 0000 0000 9314 1427, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), , Instituto de Salud Carlos III, ; Madrid, Spain
                [8 ]GRID grid.411171.3, ISNI 0000 0004 0425 3881, Unidad Multidisciplinar de Hipertensión Pulmonar, Servicio de Cardiología, Hospital Universitario, ; 12 de Octubre, Madrid, Spain
                [9 ]Servicio de Cardiología, Hospital 12 de Octubre, Madrid, Spain
                [10 ]GRID grid.418886.b, ISNI 0000 0000 8490 7830, Servicio de Neumología, , Complejo Hospitalario de Pontevedra, ; Pontevedra, Spain
                Author information
                http://orcid.org/0000-0002-8799-6079
                http://orcid.org/0000-0002-5308-2316
                http://orcid.org/0000-0001-7636-9988
                http://orcid.org/0000-0002-6640-4839
                http://orcid.org/0000-0002-2466-8094
                http://orcid.org/0000-0002-0516-2717
                http://orcid.org/0000-0002-6324-4825
                http://orcid.org/0000-0002-7024-1657
                Article
                72089
                10.1038/s41598-020-72089-1
                7492224
                32934261
                a6adb9f5-6e86-4460-bb14-8b94d45a3371
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 17 January 2020
                : 25 August 2020
                Funding
                Funded by: Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III)
                Award ID: PI18/01233
                Funded by: Actelion Pharmaceuticals (Actelion Pharmaceuticals Ltd)
                Funded by: Ministerio de Ciencia, Innovación y Universidades, Gobierno de España
                Award ID: RYC-2015-18241
                Award Recipient :
                Funded by: Xunta de Galicia
                Award ID: ED431C 2018/54
                Award ID: ED431G-2019/06
                Award Recipient :
                Categories
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                Custom metadata
                © The Author(s) 2020

                Uncategorized
                mutation,cardiovascular biology,gene regulation
                Uncategorized
                mutation, cardiovascular biology, gene regulation

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