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1.
J Indian Soc Pedod Prev Dent ; 38(3): 315-318, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33004732

RESUMO

A 7-month-old female child born to nonconsanguineous parents with a history of global developmental delay, since early infancy had reported to the department with facial features of mild dysmorphism. History of finger sucking and finger biting was evident, as there was a massive scab tissue over the dorsal aspect of the index finger, above the finger nail bed. A huge ulcer was evident on the right side of the dorsal aspect of anterior two-thirds of the tongue. Genetic evaluation through targeted gene sequencing confirmed the diagnosis as hereditary sensory, autonomic neuropathy Type VIII (Online Mendelian Inheritance in Man - 616488). A homozygous missense variation in exon 3 of PRDM12 was detected. A multidisciplinary approach was planned for the management of the child. A soft splint on the maxilla was fabricated and stabilized with an adhesive. However, the final diagnosis was confirmed by a DNA genomic sequencing test, namely a multigene panel testing or comprehensive genomic sequencing.


Assuntos
Neuropatias Hereditárias Sensoriais e Autônomas/diagnóstico , Neuropatias Hereditárias Sensoriais e Autônomas/genética , Neuropatias Hereditárias Sensoriais e Autônomas/terapia , Proteínas de Transporte , Criança , Feminino , Sucção de Dedo , Genômica , Humanos , Lactente , Proteínas do Tecido Nervoso , Língua
2.
Plant Genome ; 13(1): e20001, 2020 03.
Artigo em Inglês | MEDLINE | ID: mdl-33016624

RESUMO

African wild rice Oryza longistaminata, one of the eight AA- genome species in the genus Oryza, possesses highly valued traits, such as the rhizomatousness for perennial rice breeding, strong tolerance to biotic and abiotic stresses, and high biomass production on poor soils. To obtain the high-quality reference genome for O. longistaminata we employed a hybrid assembly approach through incorporating Illumina and PacBio sequencing datasets. The final genome assembly comprised only 107 scaffolds and was approximately ∼363.5 Mb, representing ∼92.7% of the estimated African wild rice genome (∼392 Mb). The N50 lengths of the assembled contigs and scaffolds were ∼46.49 Kb and ∼6.83 Mb, indicating ∼3.72-fold and ∼18.8-fold improvement in length compared to the earlier released assembly (∼12.5 Kb and 364 Kb, respectively). Aided with Hi-C data and syntenic relationship with O. sativa, these assembled scaffolds were anchored into 12 pseudo-chromosomes. Genome annotation and comparative genomic analysis reveal that lineage-specific expansion of gene families that respond to biotic- and abiotic stresses are of great potential for mining novel alleles to overcome major diseases and abiotic adaptation in rice breeding programs. This reference genome of African wild rice will greatly enlarge the existing database of rice genome resources and unquestionably form a solid base to understand genomic basis underlying highly valued phenotypic traits and search for novel gene sources in O. longistaminata for the future rice breeding programs.


Assuntos
Oryza , Genoma , Genômica , Oryza/genética , Análise de Sequência de DNA
3.
Plant Genome ; 13(1): e20012, 2020 03.
Artigo em Inglês | MEDLINE | ID: mdl-33016625

RESUMO

Genomic selection (GS) based recurrent selection methods were developed to accelerate the domestication of intermediate wheatgrass [IWG, Thinopyrum intermedium (Host) Barkworth & D.R. Dewey]. A subset of the breeding population phenotyped at multiple environments is used to train GS models and then predict trait values of the breeding population. In this study, we implemented several GS models that investigated the use of additive and dominance effects and G×E interaction effects to understand how they affected trait predictions in intermediate wheatgrass. We evaluated 451 genotypes from the University of Minnesota IWG breeding program for nine agronomic and domestication traits at two Minnesota locations during 2017-2018. Genet-mean based heritabilities for these traits ranged from 0.34 to 0.77. Using four-fold cross validation, we observed the highest predictive abilities (correlation of 0.67) in models that considered G×E effects. When G×E effects were fitted in GS models, trait predictions improved by 18%, 15%, 20%, and 23% for yield, spike weight, spike length, and free threshing, respectively. Genomic selection models with dominance effects showed only modest increases of up to 3% and were trait-dependent. Cross-environment predictions were better for high heritability traits such as spike length, shatter resistance, free threshing, grain weight, and seed length than traits with low heritability and large environmental variance such as spike weight, grain yield, and seed width. Our results confirm that GS can accelerate IWG domestication by increasing genetic gain per breeding cycle and assist in selection of genotypes with promise of better performance in diverse environments.


Assuntos
Agropyron , Melhoramento Vegetal , Agropyron/genética , Genoma de Planta , Genômica , Poaceae/genética
4.
Plant Genome ; 13(1): e20009, 2020 03.
Artigo em Inglês | MEDLINE | ID: mdl-33016627

RESUMO

Successful management and utilization of increasingly large genomic datasets is essential for breeding programs to accelerate cultivar development. To help with this, we developed a Sorghum bicolor Practical Haplotype Graph (PHG) pangenome database that stores haplotypes and variant information. We developed two PHGs in sorghum that were used to identify genome-wide variants for 24 founders of the Chibas sorghum breeding program from 0.01x sequence coverage. The PHG called single nucleotide polymorphisms (SNPs) with 5.9% error at 0.01x coverage-only 3% higher than PHG error when calling SNPs from 8x coverage sequence. Additionally, 207 progenies from the Chibas genomic selection (GS) training population were sequenced and processed through the PHG. Missing genotypes were imputed from PHG parental haplotypes and used for genomic prediction. Mean prediction accuracies with PHG SNP calls range from .57-.73 and are similar to prediction accuracies obtained with genotyping-by-sequencing or targeted amplicon sequencing (rhAmpSeq) markers. This study demonstrates the use of a sorghum PHG to impute SNPs from low-coverage sequence data and shows that the PHG can unify genotype calls across multiple sequencing platforms. By reducing input sequence requirements, the PHG can decrease the cost of genotyping, make GS more feasible, and facilitate larger breeding populations. Our results demonstrate that the PHG is a useful research and breeding tool that maintains variant information from a diverse group of taxa, stores sequence data in a condensed but readily accessible format, unifies genotypes across genotyping platforms, and provides a cost-effective option for genomic selection.


Assuntos
Sorghum , Análise Custo-Benefício , Genoma , Genômica , Haplótipos , Sorghum/genética
5.
Plant Genome ; 13(1): e20011, 2020 03.
Artigo em Inglês | MEDLINE | ID: mdl-33016629

RESUMO

Genome-wide association mapping identifies quantitative trait loci (QTL) that influence the mean differences between the marker genotypes for a given trait. While most loci influence the mean value of a trait, certain loci, known as variance heterogeneity QTL (vQTL) determine the variability of the trait instead of the mean trait value (mQTL). In the present study, we performed a variance heterogeneity genome-wide association study (vGWAS) for grain cadmium (Cd) concentration in bread wheat. We used double generalized linear model and hierarchical generalized linear model to identify vQTL associated with grain Cd. We identified novel vQTL regions on chromosomes 2A and 2B that contribute to the Cd variation and loci that affect both mean and variance heterogeneity (mvQTL) on chromosome 5A. In addition, our results demonstrated the presence of epistatic interactions between vQTL and mvQTL, which could explain variance heterogeneity. Overall, we provide novel insights into the genetic architecture of grain Cd concentration and report the first application of vGWAS in wheat. Moreover, our findings indicated that epistasis is an important mechanism underlying natural variation for grain Cd concentration.


Assuntos
Pão , Triticum , Cádmio , Estudo de Associação Genômica Ampla , Genômica , Triticum/genética
6.
Plant Genome ; 13(1): e20004, 2020 03.
Artigo em Inglês | MEDLINE | ID: mdl-33016630

RESUMO

A barrier to the adoption of genomic prediction in small breeding programs is the initial cost of genotyping material. Although decreasing, marker costs are usually higher than field trial costs. In this study we demonstrate the utility of stratifying a narrow-base biparental oat population genotyped with a modest number of markers to employ genomic prediction at early and later generations. We also show that early generation genotyping data can reduce the number of lines for later phenotyping based on selections of siblings to progress. Using sets of small families selected at an early generation could enable the use of genomic prediction for adaptation to multiple target environments at an early stage in the breeding program. In addition, we demonstrate that mixed marker data can be effectively integrated to combine cheap dominant marker data (including legacy data) with more expensive but higher density codominant marker data in order to make within generation and between lineage predictions based on genotypic information. Taken together, our results indicate that small programs can test and initiate genomic predictions using sets of stratified, narrow-base populations and incorporating low density legacy genotyping data. This can then be scaled to include higher density markers and a broadened population base.


Assuntos
Avena , Genoma , Avena/genética , Cruzamento , Genômica , Genótipo
7.
Plant Genome ; 13(1): e20010, 2020 03.
Artigo em Inglês | MEDLINE | ID: mdl-33016633

RESUMO

The primary domestication of olive (Olea europaea L.) in the Levant dates back to the Neolithic period, around 6,000-5,500 BC, as some archeological remains attest. Cultivated olive trees are reproduced clonally, with sexual crosses being the sporadic events that drive the development of new varieties. In order to determine the genomic changes which have occurred in a modern olive cultivar, the genome of the Picual cultivar, one of the most popular olive varieties, was sequenced. Additional 40 cultivated and 10 wild accessions were re-sequenced to elucidate the evolution of the olive genome during the domestication process. It was found that the genome of the 'Picual' cultivar contains 79,667 gene models, of which 78,079 were protein-coding genes and 1,588 were tRNA. Population analyses support two independent events in olive domestication, including an early possible genetic bottleneck. Despite genetic bottlenecks, cultivated accessions showed a high genetic diversity driven by the activation of transposable elements (TE). A high TE gene expression was observed in presently cultivated olives, which suggests a current activity of TEs in domesticated olives. Several TEs families were expanded in the last 5,000 or 6,000 years and produced insertions near genes that may have been involved in selected traits during domestication as reproduction, photosynthesis, seed development, and oil production. Therefore, a great genetic variability has been found in cultivated olive as a result of a significant activation of TEs during the domestication process.


Assuntos
Olea , Domesticação , Evolução Molecular , Genômica , Olea/genética
8.
Plant Genome ; 13(1): e20014, 2020 03.
Artigo em Inglês | MEDLINE | ID: mdl-33016635

RESUMO

Genomic prediction (GP) might be an efficient way to improve haploid induction rate (HIR) and to reduce the laborious and time-consuming task of phenotypic selection for HIR in maize (Zea mays L.). In this study, we evaluated GP accuracies for HIR and other agronomic traits of importance to inducers by independent and cross-validation. We propose the use of GP for cross prediction and parental selection in the development of new inducer breeding populations. A panel of 159 inducers from Iowa State University (ISU set) was genotyped and phenotyped for HIR and several agronomic traits. The data of an independent set of 53 inducers evaluated by the University of Hohenheim (UOH set) was used for independent validation. The HIR ranged from 0.61 to 20.74% and exhibited high heritability (0.90). High cross-validation prediction accuracy was observed for HIR (r = 0.82), whereas for other traits it ranged from 0.36 (self-induction rate) to 0.74 (days to anthesis). Prediction accuracies across different sets were higher when the larger panel (ISU set) was used as a training population (r = 0.54). The average HIR of the 12,561 superior predicted progenies (µSP ) ranged from 1.00-18.36% and was closely related to the corresponding midparent genomic estimated breeding value (GEBV). A predicted genetic variance (VG ) of reduced magnitude was observed in the twenty crosses with highest midparent GEBV or µSP for HIR. Our results indicate that although GP is a useful tool for parental selection, decisions about which cross combinations should be pursued need to be based on optimal trade-offs between maximizing both µSP and VG .


Assuntos
Modelos Genéticos , Zea mays , Genoma , Genômica , Haploidia , Zea mays/genética
9.
Plant Genome ; 13(1): e20002, 2020 03.
Artigo em Inglês | MEDLINE | ID: mdl-33016638

RESUMO

Genomic selection (GS) is a marker-based selection initially suggested for livestock breeding and is being encouraged for crop breeding. Several statistical models are used to implement GS; however, none have been tested for use in lentil (Lens culinaris Medik.) breeding. This study was conducted to compare the accuracy of different GS models and prediction scenarios based on empirical data and to make recommendations for designing genomic selection strategies for lentil breeding. We evaluated nine single-trait (ST) models, two multiple-trait (MT) models, and a model that incorporates genotype × environment interaction (GEI) using populations from a lentil diversity panel and two recombinant inbred lines (RILs). The lines in all populations were phenotyped for five phenological traits and genotyped using a custom exome capture assay. Within-population, across-population, and across-environment genomic predictions were made. Prediction accuracy varied among the evaluated models, populations, prediction scenarios, and traits. Single-trait models showed similar accuracy in the absence of large effect quantitative trait loci (QTL) but BayesB outperformed all models when there were QTL with relatively large effects. Models that accounted for GEI and MT-GS models increased prediction accuracy for a low heritability trait by up to 66 and 14%, respectively. Moderate to high accuracies were obtained for within-population (range of .36-.85) and across-environment (range of .19-.89) predictions but across-population prediction accuracy was very low. Results suggest that GS can be implemented in lentil breeding to make predictions within populations and across environments, but across-population prediction should not be considered when the population size is small.


Assuntos
Lens (Planta) , Cruzamento , Genômica , Lens (Planta)/genética , Modelos Genéticos , Seleção Genética
10.
Plant Genome ; 13(1): e20006, 2020 03.
Artigo em Inglês | MEDLINE | ID: mdl-33016641

RESUMO

Sugarcane (Saccharum spp.) is an important economic crop, contributing up to 80% of sugar and approximately 60% of biofuel globally. To meet the increased demand for sugar and biofuel supplies, it is critical to breed sugarcane cultivars with robust performance in yield traits. Therefore, dissection of causal DNA sequence variants is of great importance, as it provides genetic resources and fundamental information for crop improvement. In this study, we analyzed nine yield traits in a sugarcane diversity panel consisting of 308 accessions primarily selected from the World Collection of Sugarcane and Related Grasses. By genotyping the diversity panel via target enrichment sequencing, we identified a large number of sequence variants. Genome-wide association studies between the markers and traits were conducted, taking dosages and gene actions into consideration. In total, 217 nonredundant markers and 225 candidate genes were identified to be significantly associated with the yield traits, which can serve as a comprehensive genetic resource database for future gene identification, characterization, and selection for sugarcane improvement. We further investigated runs of homozygosity (ROH) in the sugarcane diversity panel. We characterized 282 ROHs and found that the occurrence of ROHs in the genome were nonrandom and probably under selection. The ROHs were associated with total weight and dry weight, and high ROHs resulted in a decrease in the two traits. This study suggests that genomic inbreeding has led to negative impacts on sugarcane yield.


Assuntos
Saccharum , Estudo de Associação Genômica Ampla , Genômica , Humanos , Fenótipo , Poliploidia , Saccharum/genética
11.
BMC Bioinformatics ; 21(Suppl 14): 368, 2020 Sep 30.
Artigo em Inglês | MEDLINE | ID: mdl-32998690

RESUMO

BACKGROUND: Lung cancer is the leading cause of the largest number of deaths worldwide and lung adenocarcinoma is the most common form of lung cancer. In order to understand the molecular basis of lung adenocarcinoma, integrative analysis have been performed by using genomics, transcriptomics, epigenomics, proteomics and clinical data. Besides, molecular prognostic signatures have been generated for lung adenocarcinoma by using gene expression levels in tumor samples. However, we need signatures including different types of molecular data, even cohort or patient-based biomarkers which are the candidates of molecular targeting. RESULTS: We built an R pipeline to carry out an integrated meta-analysis of the genomic alterations including single-nucleotide variations and the copy number variations, transcriptomics variations through RNA-seq and clinical data of patients with lung adenocarcinoma in The Cancer Genome Atlas project. We integrated significant genes including single-nucleotide variations or the copy number variations, differentially expressed genes and those in active subnetworks to construct a prognosis signature. Cox proportional hazards model with Lasso penalty and LOOCV was used to identify best gene signature among different gene categories. We determined a 12-gene signature (BCHE, CCNA1, CYP24A1, DEPTOR, MASP2, MGLL, MYO1A, PODXL2, RAPGEF3, SGK2, TNNI2, ZBTB16) for prognostic risk prediction based on overall survival time of the patients with lung adenocarcinoma. The patients in both training and test data were clustered into high-risk and low-risk groups by using risk scores of the patients calculated based on selected gene signature. The overall survival probability of these risk groups was highly significantly different for both training and test datasets. CONCLUSIONS: This 12-gene signature could predict the prognostic risk of the patients with lung adenocarcinoma in TCGA and they are potential predictors for the survival-based risk clustering of the patients with lung adenocarcinoma. These genes can be used to cluster patients based on molecular nature and the best candidates of drugs for the patient clusters can be proposed. These genes also have a high potential for targeted cancer therapy of patients with lung adenocarcinoma.


Assuntos
Adenocarcinoma de Pulmão/patologia , Genômica/métodos , Neoplasias Pulmonares/patologia , Transcriptoma , Adenocarcinoma de Pulmão/genética , Adenocarcinoma de Pulmão/mortalidade , Área Sob a Curva , Análise por Conglomerados , Variações do Número de Cópias de DNA , Bases de Dados Genéticas , Regulação Neoplásica da Expressão Gênica , Humanos , Neoplasias Pulmonares/genética , Neoplasias Pulmonares/mortalidade , Estadiamento de Neoplasias , Prognóstico , Modelos de Riscos Proporcionais , Mapas de Interação de Proteínas/genética , Curva ROC , Fatores de Risco , Taxa de Sobrevida
12.
BMC Bioinformatics ; 21(1): 431, 2020 Oct 02.
Artigo em Inglês | MEDLINE | ID: mdl-33008363

RESUMO

BACKGROUND: This paper describes a web based tool that uses a combination of sonification and an animated display to inquire into the SARS-CoV-2 genome. The audio data is generated in real time from a variety of RNA motifs that are known to be important in the functioning of RNA. Additionally, metadata relating to RNA translation and transcription has been used to shape the auditory and visual displays. Together these tools provide a unique approach to further understand the metabolism of the viral RNA genome. This audio provides a further means to represent the function of the RNA in addition to traditional written and visual approaches. RESULTS: Sonification of the SARS-CoV-2 genomic RNA sequence results in a complex auditory stream composed of up to 12 individual audio tracks. Each auditory motive is derived from the actual RNA sequence or from metadata. This approach has been used to represent transcription or translation of the viral RNA genome. The display highlights the real-time interaction of functional RNA elements. The sonification of codons derived from all three reading frames of the viral RNA sequence in combination with sonified metadata provide the framework for this display. Functional RNA motifs such as transcription regulatory sequences and stem loop regions have also been sonified. Using the tool, audio can be generated in real-time from either genomic or sub-genomic representations of the RNA. Given the large size of the viral genome, a collection of interactive buttons has been provided to navigate to regions of interest, such as cleavage regions in the polyprotein, untranslated regions or each gene. These tools are available through an internet browser and the user can interact with the data display in real time. CONCLUSION: The auditory display in combination with real-time animation of the process of translation and transcription provide a unique insight into the large body of evidence describing the metabolism of the RNA genome. Furthermore, the tool has been used as an algorithmic based audio generator. These audio tracks can be listened to by the general community without reference to the visual display to encourage further inquiry into the science.


Assuntos
Betacoronavirus/genética , Genoma Viral , Software , Betacoronavirus/isolamento & purificação , Infecções por Coronavirus/patologia , Infecções por Coronavirus/virologia , Genômica , Humanos , Fases de Leitura Aberta/genética , Pandemias , Pneumonia Viral/patologia , Pneumonia Viral/virologia , RNA Viral/química , RNA Viral/genética , RNA Viral/metabolismo
13.
Urol Clin North Am ; 47(4): 523-536, 2020 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-33008501

RESUMO

Personalized medicine uses a patient's genotype, environment, and lifestyle choices to create a tailored diagnosis and therapy plan, with the goal of minimizing side effects, avoiding lost time with ineffective treatments, and guiding preventative strategies. Although most precision medicine strategies are still within the laboratory phase of development, this article reviews the promising technologies with the greatest potential to improve the diagnosis and treatment options for male infertility, including sperm cell transplantation, genomic editing, and new biomarker assays, based on the latest proteomic and epigenomic studies.


Assuntos
Genômica , Infertilidade Masculina/genética , Infertilidade Masculina/terapia , Medicina de Precisão/métodos , Biomarcadores/sangue , Terapia Combinada , Previsões , Humanos , Infertilidade Masculina/diagnóstico , Masculino , Proteômica , Medição de Risco , Resultado do Tratamento
14.
Hum Genomics ; 14(1): 35, 2020 10 02.
Artigo em Inglês | MEDLINE | ID: mdl-33008459

RESUMO

Precision medicine aims to empower clinicians to predict the most appropriate course of action for patients with complex diseases like cancer, diabetes, cardiomyopathy, and COVID-19. With a progressive interpretation of the clinical, molecular, and genomic factors at play in diseases, more effective and personalized medical treatments are anticipated for many disorders. Understanding patient's metabolomics and genetic make-up in conjunction with clinical data will significantly lead to determining predisposition, diagnostic, prognostic, and predictive biomarkers and paths ultimately providing optimal and personalized care for diverse, and targeted chronic and acute diseases. In clinical settings, we need to timely model clinical and multi-omics data to find statistical patterns across millions of features to identify underlying biologic pathways, modifiable risk factors, and actionable information that support early detection and prevention of complex disorders, and development of new therapies for better patient care. It is important to calculate quantitative phenotype measurements, evaluate variants in unique genes and interpret using ACMG guidelines, find frequency of pathogenic and likely pathogenic variants without disease indicators, and observe autosomal recessive carriers with a phenotype manifestation in metabolome. Next, ensuring security to reconcile noise, we need to build and train machine-learning prognostic models to meaningfully process multisource heterogeneous data to identify high-risk rare variants and make medically relevant predictions. The goal, today, is to facilitate implementation of mainstream precision medicine to improve the traditional symptom-driven practice of medicine, and allow earlier interventions using predictive diagnostics and tailoring better-personalized treatments. We strongly recommend automated implementation of cutting-edge technologies, utilizing machine learning (ML) and artificial intelligence (AI) approaches for the multimodal data aggregation, multifactor examination, development of knowledgebase of clinical predictors for decision support, and best strategies for dealing with relevant ethical issues.


Assuntos
Infecções por Coronavirus/genética , Diabetes Mellitus/genética , Neoplasias/genética , Pneumonia Viral/genética , Medicina de Precisão/tendências , Cardiomiopatias , Infecções por Coronavirus/epidemiologia , Análise de Dados , Diabetes Mellitus/epidemiologia , Genômica/tendências , Humanos , Metabolômica/tendências , Neoplasias/epidemiologia , Pandemias , Pneumonia Viral/epidemiologia , Proteômica/tendências
15.
Rev Sci Tech ; 39(2): 481-490, 2020 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-33046927

RESUMO

Climate change is predicted to change the nature and distribution of global farming systems, and strategies will be needed to adapt and optimise global food-producing systems. If genomic technologies are to be useful in this scenario, there is a need for the careful definition of phenotypes and routine sample collection, as well as large-scale genotyping of animal populations. Genomic tools will greatly enhance the characterisation of available germplasm and exploration of local genetic resources, while faster and cheaper DNA sequencing is leading to an increased understanding of the underlying genetic basis of traits. The use of genomic tools to increase animal resilience, reduce methane emissions from cattle and sheep, improve disease resistance, decrease environmental impact, reduce competition for land and water and, finally, increase production may be the most feasible path for the future of livestock production. In this review, the authors discuss various genomic strategies in the light of climate change, focusing on the selection of resistant/tolerant animals, landscape genomics, metagenomics and gene editing.


Assuntos
Mudança Climática , Genômica , Agricultura , Animais , Bovinos , Genoma , Gado , Ovinos
16.
Nat Commun ; 11(1): 4946, 2020 10 02.
Artigo em Inglês | MEDLINE | ID: mdl-33009409

RESUMO

Immune-related adverse events (irAEs), caused by anti-PD-1/PD-L1 antibodies, can lead to fulminant and even fatal consequences and thus require early detection and aggressive management. However, a comprehensive approach to identify biomarkers of irAE is lacking. Here, we utilize a strategy that combines pharmacovigilance data and omics data, and evaluate associations between multi-omics factors and irAE reporting odds ratio across different cancer types. We identify a bivariate regression model of LCP1 and ADPGK that can accurately predict irAE. We further validate LCP1 and ADPGK as biomarkers in an independent patient-level cohort. Our approach provides a method for identifying potential biomarkers of irAE in cancer immunotherapy using both pharmacovigilance data and multi-omics data.


Assuntos
Genômica , Imunoterapia/efeitos adversos , Neoplasias/imunologia , Neoplasias/terapia , Biomarcadores Tumorais/metabolismo , Estudos de Coortes , Análise Fatorial , Humanos , Proteínas dos Microfilamentos/metabolismo , Reprodutibilidade dos Testes
17.
PLoS One ; 15(8): e0230404, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32866150

RESUMO

High-throughput SNP genotyping has become a precondition to move to higher precision and wider genome coverage genetic analysis of natural and breeding populations of non-model species. We developed a 44,318 annotated SNP catalog for Araucaria angustifolia, a grandiose subtropical conifer tree, one of the only two native Brazilian gymnosperms, critically endangered due to its valuable wood and seeds. Following transcriptome assembly and annotation, SNPs were discovered from RNA-seq and pooled RAD-seq data. From the SNP catalog, an Axiom® SNP array with 3,038 validated SNPs was developed and used to provide a comprehensive look at the genetic diversity and structure of 15 populations across the natural range of the species. RNA-seq was a far superior source of SNPs when compared to RAD-seq in terms of conversion rate to polymorphic markers on the array, likely due to the more efficient complexity reduction of the huge conifer genome. By matching microsatellite and SNP data on the same set of A. angustifolia individuals, we show that SNPs reflect more precisely the actual genome-wide patterns of genetic diversity and structure, challenging previous microsatellite-based assessments. Moreover, SNPs corroborated the known major north-south genetic cline, but allowed a more accurate attribution to regional versus among-population differentiation, indicating the potential to select ancestry-informative markers. The availability of a public, user-friendly 3K SNP array for A. angustifolia and a catalog of 44,318 SNPs predicted to provide ~29,000 informative SNPs across ~20,000 loci across the genome, will allow tackling still unsettled questions on its evolutionary history, toward a more comprehensive picture of the origin, past dynamics and future trend of the species' genetic resources. Additionally, but not less importantly, the SNP array described, unlocks the potential to adopt genomic prediction methods to accelerate the still very timid efforts of systematic tree breeding of A. angustifolia.


Assuntos
Araucaria/genética , Brasil , Genoma de Planta/genética , Genômica/métodos , Genótipo , Repetições de Microssatélites/genética , Polimorfismo de Nucleotídeo Único/genética , Traqueófitas/genética , Transcriptoma/genética , Árvores/genética
18.
F1000Res ; 92020.
Artigo em Inglês | MEDLINE | ID: mdl-32489650

RESUMO

GTF (Gene Transfer Format) and GFF (General Feature Format) are popular file formats used by bioinformatics programs to represent and exchange information about various genomic features, such as gene and transcript locations and structure. GffRead and GffCompare are open source programs that provide extensive and efficient solutions to manipulate files in a GTF or GFF format. While GffRead can convert, sort, filter, transform, or cluster genomic features, GffCompare can be used to compare and merge different gene annotations. Availability and implementation: GFF utilities are implemented in C++ for Linux and OS X and released as open source under an MIT license  ( https://github.com/gpertea/gffread, https://github.com/gpertea/gffcompare).


Assuntos
Biologia Computacional , Genômica , Software , Genoma , Anotação de Sequência Molecular
19.
Mem Inst Oswaldo Cruz ; 115: e200215, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32965331

RESUMO

The human-adapted strains of the Mycobacterium tuberculosis complex (MTBC) comprise seven phylogenetic lineages originally associated with their geographical distribution. Here, we report the genomes of three drug-resistant clinical isolates of the Latin American-Mediterranean (LAM) family collected in Kazakhstan. We utilised whole-genome sequencing to study the distribution and drug resistance of these isolates. Phylogenetic analysis grouped the genomes described in this study with the sequences from Russia, Uzbekistan, and Kazakhstan belonging to the LAM family. One isolate has acquired extensive drug resistance to seven antituberculosis drugs. Our results suggest at least two multi-drug resistant (MDR)/extensively drug-resistant (XDR)-associated genotypes of the LAM family circulate in Kazakhstan.


Assuntos
Antituberculosos/farmacologia , Farmacorresistência Bacteriana Múltipla/efeitos dos fármacos , Mycobacterium tuberculosis/genética , Tuberculose Resistente a Múltiplos Medicamentos/tratamento farmacológico , Genômica , Genótipo , Humanos , Cazaquistão , América Latina , Filogenia , Tuberculose Resistente a Múltiplos Medicamentos/genética
20.
Rev Med Suisse ; 16(704): 1574-1578, 2020 Sep 02.
Artigo em Francês | MEDLINE | ID: mdl-32880115

RESUMO

Precision medicine aims to tailor prevention and treatment to individual data. Although different markers can be used (e.g. transcriptome or proteome), its rise is closely linked to that of genomics, owing to the henceforth reasonable cost of DNA sequencing. The enormous datasets thus generated can be exploited due to remarkable advances in bioinformatics and information sciences. However, beyond the technological endeavor, humanities and social sciences also play a central role to redefine health and illness. The precision medicine unit at CHUV gathers stakeholders from these various domains in order to demonstrate the utility of precision medicine and catalyze its integration into healthcare, to the benefit of the patient.


Assuntos
Genômica , Ciências Humanas , Informática Médica , Biologia Molecular , Medicina de Precisão/tendências , Humanos
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