scholarly journals The Role of Microtubule Associated Serine/Threonine Kinase 3 Variants in Neurodevelopmental Diseases: Genotype-Phenotype Association

2022 ◽  
Vol 14 ◽  
Author(s):  
Li Shu ◽  
Neng Xiao ◽  
Jiong Qin ◽  
Qi Tian ◽  
Yanghui Zhang ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Large Scale ◽  
De Novo ◽  
Sequencing Data ◽  
Phenotype Correlation ◽  
Serine Threonine Kinase ◽  
Zebrafish Model ◽  
Threonine Kinase ◽  
Missense Variants ◽  
Genotype Phenotype Correlation

Objective: To prove microtubule associated serine/threonine kinase 3 (MAST3) gene is associated with neurodevelopmental diseases (NDD) and the genotype-phenotype correlation.Methods: Trio exome sequencing (trio ES) was performed on four NDD trios. Bioinformatic analysis was conducted based on large-scale genome sequencing data and human brain transcriptomic data. Further in vivo zebrafish studies were performed.Results: In our study, we identified four de novo MAST3 variants (NM_015016.1: c.302C > T:p.Ser101Phe; c.311C > T:p.Ser104Leu; c.1543G > A:p.Gly515Ser; and c.1547T > C:p.Leu516Pro) in four patients with developmental and epileptic encephalopathy (DEE) separately. Clinical heterogeneities were observed in patients carrying variants in domain of unknown function (DUF) and serine-threonine kinase (STK) domain separately. Using the published large-scale exome sequencing data, higher CADD scores of missense variants in DUF domain were found in NDD cohort compared with gnomAD database. In addition, we obtained an excess of missense variants in DUF domain when compared autistic spectrum disorder (ASD) cohort with gnomAD database, similarly an excess of missense variants in STK domain when compared DEE cohort with gnomAD database. Based on Brainspan datasets, we showed that MAST3 expression was significantly upregulated in ASD and DEE-related brain regions and was functionally linked with DEE genes. In zebrafish model, abnormal morphology of central nervous system was observed in mast3a/b crispants.Conclusion: Our results support the possibility that MAST3 is a novel gene associated with NDD which could expand the genetic spectrum for NDD. The genotype-phenotype correlation may contribute to future genetic counseling.

scholarly journals Predicting functional effect of missense variants using graph attention neural networks

2021 ◽  
Author(s):  
Haicang Zhang ◽  
Michelle S. Xu ◽  
Wendy K. Chung ◽  
Yufeng Shen
Keyword(s):  
Neural Networks ◽  
Large Scale ◽  
De Novo ◽  
Neurodevelopmental Disorder ◽  
Loss Of Function ◽  
Sequencing Data ◽  
Missense Variants ◽  
Scale Population ◽  
Scan Data ◽  
Main Component

AbstractAccurate prediction of damaging missense variants is critically important for interpretating genome sequence. While many methods have been developed, their performance has been limited. Recent progress in machine learning and availability of large-scale population genomic sequencing data provide new opportunities to significantly improve computational predictions. Here we describe gMVP, a new method based on graph attention neural networks. Its main component is a graph with nodes capturing predictive features of amino acids and edges weighted by coevolution strength, which enables effective pooling of information from local protein sequence context and functionally correlated distal positions. Evaluated by deep mutational scan data, gMVP outperforms published methods in identifying damaging variants in TP53, PTEN, BRCA1, and MSH2. Additionally, it achieves the best separation of de novo missense variants in neurodevelopmental disorder cases from the ones in controls. Finally, the model supports transfer learning to optimize gain- and loss-of-function predictions in sodium and calcium channels. In summary, we demonstrate that gMVP can improve interpretation of missense variants in clinical testing and genetic studies.

scholarly journals Genotype–phenotype correlation in WT1 exon 8 to 9 missense variants

2021 ◽  
Author(s):  
China Nagano ◽  
Yutaka Takaoka ◽  
Koichi Kamei ◽  
Riku Hamada ◽  
Daisuke Ichikawa ◽  
...  
Keyword(s):  
Phenotype Correlation ◽  
Missense Variants ◽  
Genotype Phenotype Correlation

scholarly journals Large scale genotype phenotype correlation analysis based on phylogenetic trees

2007 ◽  
Vol 23 (7) ◽  
pp. 785-788 ◽  
Author(s):  
F. Habib ◽  
A. D. Johnson ◽  
R. Bundschuh ◽  
D. Janies
Keyword(s):  
Correlation Analysis ◽  
Phylogenetic Trees ◽  
Large Scale ◽  
Phenotype Correlation ◽  
Genotype Phenotype Correlation

scholarly journals MIRAGE syndrome caused by a novel missense variant (p.Ala1479Ser) in the SAMD9 gene

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Shinsuke Onuma ◽  
Tamaki Wada ◽  
Ryosuke Araki ◽  
Kazuko Wada ◽  
Kanako Tanase-Nakao ◽  
...  
Keyword(s):  
Japanese Patient ◽  
De Novo ◽  
Missense Variant ◽  
Phenotype Correlation ◽  
Gain Of Function ◽  
Limited Knowledge ◽  
Genotype Phenotype Correlation ◽  
Adrenal Hypoplasia

AbstractMIRAGE syndrome is a recently identified disorder characterized by myelodysplasia, infection, restriction of growth, adrenal hypoplasia, genital phenotypes, and enteropathy. It is caused by a gain-of-function variant in the SAMD9 gene, but there is limited knowledge regarding the genotype–phenotype correlation. We herein report a Japanese patient with MIRAGE syndrome carrying a novel de novo heterozygous missense variant in the SAMD9 gene (c.4435 G > T; p.Ala1479Ser).

scholarly journals Thioredoxin-family protein EYE2 and Ser/Thr kinase EYE3 play interdependent roles in eyespot assembly

2011 ◽  
Vol 22 (9) ◽  
pp. 1421-1429 ◽  
Author(s):  
Joseph S. Boyd ◽  
Telsa M. Mittelmeier ◽  
Mary Rose Lamb ◽  
Carol L. Dieckmann
Keyword(s):  
De Novo ◽  
Pigment Granule ◽  
Chloroplast Envelope ◽  
Serine Threonine Kinase ◽  
Threonine Kinase ◽  
Pigment Granules ◽  
Environmental Light ◽  
Unicellular Green Alga ◽  
Family Protein ◽  
Light Stimuli

The eyespot of the biflagellate unicellular green alga Chlamydomonas reinhardtii is a complex organelle that facilitates directional responses of the cell to environmental light stimuli. The eyespot, which assembles de novo after every cell division and is associated with the daughter four-membered (D4) microtubule rootlet, comprises an elliptical patch of rhodopsin photoreceptors on the plasma membrane and stacks of carotenoid-rich pigment granule arrays in the chloroplast. Two loci, EYE2 and EYE3, define factors involved in the formation and organization of the eyespot pigment granule arrays. Whereas EYE3, a serine/threonine kinase of the ABC1 family, localizes to pigment granules, EYE2 localization corresponds to an area of the chloroplast envelope in the eyespot. EYE2 is positioned along, and adjacent to, the D4 rootlet in the absence of pigment granules. The eyespot pigment granule array is required for maintenance of the elliptical shape of both the overlying EYE2 and channelrhodopsin-1 photoreceptor patches. We propose a model of eyespot assembly wherein rootlet and photoreceptor direct EYE2 to an area of the chloroplast envelope, where it acts to facilitate assembly of pigment granule arrays, and EYE3 plays a role in the biogenesis of the pigment granules.

Spectrum of ATP7B mutations and genotype-phenotype correlation in large-scale Chinese patients with Wilson Disease

2017 ◽  
Vol 92 (1) ◽  
pp. 69-79 ◽  
Author(s):  
N. Cheng ◽  
H. Wang ◽  
W. Wu ◽  
R. Yang ◽  
L. Liu ◽  
...  
Keyword(s):  
Wilson Disease ◽  
Large Scale ◽  
Chinese Patients ◽  
Phenotype Correlation ◽  
Genotype Phenotype Correlation

scholarly journals Mutation analysis of the ATP7B gene and genotype-phenotype correlation in Chinese patients with Wilson disease

2021 ◽  
Author(s):  
Mingming Li ◽  
Jing Ma ◽  
Wenlong Wang ◽  
Xu Yang ◽  
Kaizhong Luo
Keyword(s):  
Wilson Disease ◽  
Large Scale ◽  
Allelic Frequency ◽  
Chinese Patients ◽  
Missense Mutations ◽  
Onset Age ◽  
Phenotype Correlation ◽  
Novel Mutations ◽  
Nonsense Mutations ◽  
Genotype Phenotype Correlation

Abstract AIM To discover the novel ATP7B mutations in 103 southern Chinese patients with Wilson disease (WD), and to determine the spectrum and frequency of mutations in the ATP7B gene and genotype-phenotype correlation in a large-scale sample of Chinese WD patients. Methods One hundred three WD patients from 101 unrelated families in southern China were enrolled in this study. Genomic DNA was extracted from the peripheral blood. Direct sequencing of all 21 exons within ATP7B was performed. Subsequently, an extensive study of the overall spectrum and frequency of ATP7B mutations and genotype-phenotype correlation was performed in all Chinese patients eligible from the literature, combined with the current southern group.Results In 103 patients with WD, we identified 48 different mutations (42 missense mutations, 4 nonsense mutations and 2 frameshifts). Of these, 7 mutations had not been previously reported: 1510_1511insA, 2075T>C (Leu692Pro), 2233C>A (Leu745Met), 3209C>G (Pro1070Arg),3677C>T (Thr1226Ile), 3793G>T (Val1265Leu) and 3824T>C (Leu1275Ser). The 2333G>T (Arg778 Leu) at exon 8, was the most common mutation with an allelic frequency of 18.8%, followed by 2975C>T (Pro992Leu) at exon 13, with an allelic frequency of 13.4%. In the comprehensive study, 233 distinct mutations were identified, including 154 missense mutations, 23 nonsense mutations and 56 frameshifts. Eighty-five variants were identified as novel mutations. The 2333G>T (Arg778 Leu) and 2975C>T (Pro992Leu) were the most common mutations, with allelic frequencies of 28.6% and 13.0%, respectively. Exons 8, 12, 13, 16 and 18 were recognised as hot spot exons. Phenotype-genotype correlation analysis suggested that 2333G>T (Arg778 Leu) was significantly associated with lower levels of serum ceruloplasmin (P=0.034). 2975C>T (Pro992Leu) was correlated with earlier age of disease onset (P=0.002). Additionally, we found that the 3809A>G (Asn1270Ser) mutation significantly indicated younger onset age (P=0.012), and the 3884C>T (Ala1295Val) mutation at exon 18 was significantly associated with hepatic presentation (P=0.048). Moreover, the patients with mixed presentation displayed the initial WD features at an older onset age than the groups with either liver disease or neurological presentation (P=0.039, P=0.015, respectively). No significant difference was observed in the presence of KF rings among the three groups with different clinical manifestations. Conclusion In this study, we identified seven novel mutations in 103 WD patients from the southern part of China, which could enrich the previously established mutational spectrum of the ATP7B gene. Moreover, we tapped into a large-scale study of a Chinese WD cohort to characterise the overall phenotypic and genotypic spectra and assess the association between genotype and phenotype, which enhances the current knowledge about the population genetics of WD in China.

scholarly journals DeNovoCNN: A deep learning approach to de novo variant calling in next generation sequencing data

2021 ◽  
Author(s):  
Gelana Khazeeva ◽  
Karolis Sablauskas ◽  
Bart van der Sanden ◽  
Wouter Steyaert ◽  
Michael Kwint ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
De Novo ◽  
Genetic Disorders ◽  
Variant Calling ◽  
Next Generation Sequencing Data ◽  
Sequencing Data ◽  
Accurate Identification ◽  
Whole Exome ◽  
De Novo Variant ◽  
Generation Sequencing

De novo mutations (DNMs) are an important cause of genetic disorders. The accurate identification of DNMs from sequencing data is therefore fundamental to rare disease research and diagnostics. Unfortunately, identifying reliable DNMs remains a major challenge due to sequence errors, uneven coverage, and mapping artifacts. Here, we developed a deep convolutional neural network (CNN) DNM caller (DeNovoCNN), that encodes alignment of sequence reads for a trio as 160×164 resolution images. DeNovoCNN was trained on DNMs of whole exome sequencing (WES) of 2003 trios achieving on average 99.2% recall and 93.8% precision. We find that DeNovoCNN has increased recall/sensitivity and precision compared to existing de novo calling approaches (GATK, DeNovoGear, Samtools) based on the Genome in a Bottle reference dataset. Sanger validations of DNMs called in both exome and genome datasets confirm that DeNovoCNN outperforms existing methods. Most importantly, we show that DeNovoCNN is robust against different exome sequencing and analyses approaches, thereby allowing it to be applied on other datasets. DeNovoCNN is freely available and can be run on existing alignment (BAM/CRAM) and variant calling (VCF) files from WES and WGS without a need for variant recalling.

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