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[PMID]:29183283
[Au] Autor:Fraser TA; Shao R; Fountain-Jones NM; Charleston M; Martin A; Whiteley P; Holme R; Carver S; Polkinghorne A
[Ad] Endereço:School of Biological Sciences, University of Tasmania, Sandy Bay, Hobart, TAS, Australia.
[Ti] Título:Mitochondrial genome sequencing reveals potential origins of the scabies mite Sarcoptes scabiei infesting two iconic Australian marsupials.
[So] Source:BMC Evol Biol;17(1):233, 2017 Nov 28.
[Is] ISSN:1471-2148
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:BACKGROUND: Debilitating skin infestations caused by the mite, Sarcoptes scabiei, have a profound impact on human and animal health globally. In Australia, this impact is evident across different segments of Australian society, with a growing recognition that it can contribute to rapid declines of native Australian marsupials. Cross-host transmission has been suggested to play a significant role in the epidemiology and origin of mite infestations in different species but a chronic lack of genetic resources has made further inferences difficult. To investigate the origins and molecular epidemiology of S. scabiei in Australian wildlife, we sequenced the mitochondrial genomes of S. scabiei from diseased wombats (Vombatus ursinus) and koalas (Phascolarctos cinereus) spanning New South Wales, Victoria and Tasmania, and compared them with the recently sequenced mitochondrial genome sequences of S. scabiei from humans. RESULTS: We found unique S. scabiei haplotypes among individual wombat and koala hosts with high sequence similarity (99.1% - 100%). Phylogenetic analysis of near full-length mitochondrial genomes revealed three clades of S. scabiei (one human and two marsupial), with no apparent geographic or host species pattern, suggestive of multiple introductions. The availability of additional mitochondrial gene sequences also enabled a re-evaluation of a range of putative molecular markers of S. scabiei, revealing that cox1 is the most informative gene for molecular epidemiological investigations. Utilising this gene target, we provide additional evidence to support cross-host transmission between different animal hosts. CONCLUSIONS: Our results suggest a history of parasite invasion through colonisation of Australia from hosts across the globe and the potential for cross-host transmission being a common feature of the epidemiology of this neglected pathogen. If this is the case, comparable patterns may exist elsewhere in the 'New World'. This work provides a basis for expanded molecular studies into mange epidemiology in humans and animals in Australia and other geographic regions.
[Mh] Termos MeSH primário: Genoma Mitocondrial
Marsupiais/parasitologia
Sarcoptes scabiei/genética
Escabiose/parasitologia
Análise de Sequência de DNA
[Mh] Termos MeSH secundário: Animais
Animais Selvagens/genética
Austrália/epidemiologia
Composição de Bases/genética
Sequência de Bases
Complexo IV da Cadeia de Transporte de Elétrons/genética
Genes Mitocondriais
Tamanho do Genoma
Haplótipos/genética
Seres Humanos
Anotação de Sequência Molecular
Filogenia
Escabiose/epidemiologia
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Nm] Nome de substância:
EC 1.9.3.1 (Electron Transport Complex IV)
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180309
[Lr] Data última revisão:
180309
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171130
[St] Status:MEDLINE
[do] DOI:10.1186/s12862-017-1086-9


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[PMID]:29422654
[Au] Autor:Marcou Q; Mora T; Walczak AM
[Ad] Endereço:Laboratoire de Physique Théorique, CNRS, Sorbonne Université and École Normale Supérieure (PSL), 24, Rue Lhomond, 75005, Paris, France.
[Ti] Título:High-throughput immune repertoire analysis with IGoR.
[So] Source:Nat Commun;9(1):561, 2018 02 08.
[Is] ISSN:2041-1723
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:High-throughput immune repertoire sequencing is promising to lead to new statistical diagnostic tools for medicine and biology. Successful implementations of these methods require a correct characterization, analysis, and interpretation of these data sets. We present IGoR (Inference and Generation Of Repertoires)-a comprehensive tool that takes B or T cell receptor sequence reads and quantitatively characterizes the statistics of receptor generation from both cDNA and gDNA. It probabilistically annotates sequences and its modular structure can be used to investigate models of increasing biological complexity for different organisms. For B cells, IGoR returns the hypermutation statistics, which we use to reveal co-localization of hypermutations along the sequence. We demonstrate that IGoR outperforms existing tools in accuracy and estimate the sample sizes needed for reliable repertoire characterization.
[Mh] Termos MeSH primário: Linfócitos B/imunologia
Receptores de Antígenos de Linfócitos B/genética
Receptores de Antígenos de Linfócitos T/genética
Software
Linfócitos T/imunologia
Recombinação V(D)J
[Mh] Termos MeSH secundário: Linfócitos B/citologia
Sequência de Bases
Benchmarking
DNA Complementar/genética
DNA Complementar/imunologia
Expressão Gênica
Sequenciamento de Nucleotídeos em Larga Escala
Seres Humanos
Imunidade Inata
Anotação de Sequência Molecular
Receptores de Antígenos de Linfócitos B/imunologia
Receptores de Antígenos de Linfócitos T/imunologia
Linfócitos T/citologia
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T
[Nm] Nome de substância:
0 (DNA, Complementary); 0 (Receptors, Antigen, B-Cell); 0 (Receptors, Antigen, T-Cell)
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180307
[Lr] Data última revisão:
180307
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:180210
[St] Status:MEDLINE
[do] DOI:10.1038/s41467-018-02832-w


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[PMID]:29382830
[Au] Autor:Aramillo Irizar P; Schäuble S; Esser D; Groth M; Frahm C; Priebe S; Baumgart M; Hartmann N; Marthandan S; Menzel U; Müller J; Schmidt S; Ast V; Caliebe A; König R; Krawczak M; Ristow M; Schuster S; Cellerino A; Diekmann S; Englert C; Hemmerich P; Sühnel J; Guthke R; Witte OW; Platzer M; Ruppin E; Kaleta C
[Ad] Endereço:Research Group Medical Systems Biology, Institute of Experimental Medicine, Christian-Albrechts-University Kiel, D-24105, Kiel, Germany.
[Ti] Título:Transcriptomic alterations during ageing reflect the shift from cancer to degenerative diseases in the elderly.
[So] Source:Nat Commun;9(1):327, 2018 01 30.
[Is] ISSN:2041-1723
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:Disease epidemiology during ageing shows a transition from cancer to degenerative chronic disorders as dominant contributors to mortality in the old. Nevertheless, it has remained unclear to what extent molecular signatures of ageing reflect this phenomenon. Here we report on the identification of a conserved transcriptomic signature of ageing based on gene expression data from four vertebrate species across four tissues. We find that ageing-associated transcriptomic changes follow trajectories similar to the transcriptional alterations observed in degenerative ageing diseases but are in opposite direction to the transcriptomic alterations observed in cancer. We confirm the existence of a similar antagonism on the genomic level, where a majority of shared risk alleles which increase the risk of cancer decrease the risk of chronic degenerative disorders and vice versa. These results reveal a fundamental trade-off between cancer and degenerative ageing diseases that sheds light on the pronounced shift in their epidemiology during ageing.
[Mh] Termos MeSH primário: Envelhecimento/genética
Doenças Cardiovasculares/genética
Diabetes Mellitus/genética
Neoplasias/genética
Doenças Neurodegenerativas/genética
Transcriptoma
[Mh] Termos MeSH secundário: Adolescente
Adulto
Idoso
Idoso de 80 Anos ou mais
Envelhecimento/metabolismo
Envelhecimento/patologia
Animais
Encéfalo/crescimento & desenvolvimento
Encéfalo/metabolismo
Doenças Cardiovasculares/sangue
Doenças Cardiovasculares/patologia
Criança
Pré-Escolar
Doença Crônica
Diabetes Mellitus/sangue
Diabetes Mellitus/patologia
Fundulidae/genética
Fundulidae/crescimento & desenvolvimento
Fundulidae/metabolismo
Ontologia Genética
Genoma Humano
Seres Humanos
Lactente
Fígado/crescimento & desenvolvimento
Fígado/metabolismo
Camundongos
Meia-Idade
Anotação de Sequência Molecular
Neoplasias/metabolismo
Neoplasias/patologia
Doenças Neurodegenerativas/sangue
Doenças Neurodegenerativas/patologia
Pele/crescimento & desenvolvimento
Pele/metabolismo
Peixe-Zebra/genética
Peixe-Zebra/crescimento & desenvolvimento
Peixe-Zebra/metabolismo
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, N.I.H., EXTRAMURAL; RESEARCH SUPPORT, NON-U.S. GOV'T
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180307
[Lr] Data última revisão:
180307
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:180201
[St] Status:MEDLINE
[do] DOI:10.1038/s41467-017-02395-2


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[PMID]:29220445
[Au] Autor:Chen Y; Shi M; Zhang W; Cheng Y; Wang Y; Xia XQ
[Ad] Endereço:Institute of Hydrobiology, The Chinese Academy of Sciences, Wuhan 430072, China.
[Ti] Título:The Grass Carp Genome Database (GCGD): an online platform for genome features and annotations.
[So] Source:Database (Oxford);2017, 2017 Jan 01.
[Is] ISSN:1758-0463
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:Database URL: http://bioinfo.ihb.ac.cn/gcgd.
[Mh] Termos MeSH primário: Carpas/genética
Bases de Dados Genéticas
Genoma/genética
Anotação de Sequência Molecular/métodos
[Mh] Termos MeSH secundário: Animais
Repetições de Microssatélites/genética
Alinhamento de Sequência
Transcriptoma/genética
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1801
[Cu] Atualização por classe:180308
[Lr] Data última revisão:
180308
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171209
[St] Status:MEDLINE
[do] DOI:10.1093/database/bax051


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[PMID]:29220434
[Au] Autor:Lefever S; Anckaert J; Volders PJ; Luypaert M; Vandesompele J; Mestdagh P
[Ad] Endereço:Center for Medical Genetics Ghent (CMGG), Ghent University, Ghent, Belgium.
[Ti] Título:decodeRNA- predicting non-coding RNA functions using guilt-by-association.
[So] Source:Database (Oxford);2017, 2017 Jan 01.
[Is] ISSN:1758-0463
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:Database URL: http://www.decoderna.org.
[Mh] Termos MeSH primário: Biologia Computacional/métodos
Bases de Dados de Ácidos Nucleicos
Anotação de Sequência Molecular/métodos
RNA Longo não Codificante
Análise de Sequência de RNA/métodos
[Mh] Termos MeSH secundário: Seres Humanos
Neoplasias/genética
Neoplasias/metabolismo
RNA Longo não Codificante/genética
RNA Longo não Codificante/fisiologia
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Nm] Nome de substância:
0 (RNA, Long Noncoding)
[Em] Mês de entrada:1801
[Cu] Atualização por classe:180308
[Lr] Data última revisão:
180308
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171209
[St] Status:MEDLINE
[do] DOI:10.1093/database/bax042


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[PMID]:28453708
[Au] Autor:Vis DJ; Lewin J; Liao RG; Mao M; Andre F; Ward RL; Calvo F; Teh BT; Camargo AA; Knoppers BM; Sawyers CL; Wessels LFA; Lawler M; Siu LL; Voest E; Clinical Working Group of the Global Alliance for Genomics and Health
[Ad] Endereço:Netherlands Cancer Institute, Amsterdam, The Netherlands.
[Ti] Título:Towards a global cancer knowledge network: dissecting the current international cancer genomic sequencing landscape.
[So] Source:Ann Oncol;28(5):1145-1151, 2017 May 01.
[Is] ISSN:1569-8041
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:Background: While next generation sequencing has enhanced our understanding of the biological basis of malignancy, current knowledge on global practices for sequencing cancer samples is limited. To address this deficiency, we developed a survey to provide a snapshot of current sequencing activities globally, identify barriers to data sharing and use this information to develop sustainable solutions for the cancer research community. Methods: A multi-item survey was conducted assessing demographics, clinical data collection, genomic platforms, privacy/ethics concerns, funding sources and data sharing barriers for sequencing initiatives globally. Additionally, respondents were asked as to provide the primary intent of their initiative (clinical diagnostic, research or combination). Results: Of 107 initiatives invited to participate, 59 responded (response rate = 55%). Whole exome sequencing (P = 0.03) and whole genome sequencing (P = 0.01) were utilized less frequently in clinical diagnostic than in research initiatives. Procedures to identify cancer-specific variants were heterogeneous, with bioinformatics pipelines employing different mutation calling/variant annotation algorithms. Measurement of treatment efficacy varied amongst initiatives, with time on treatment (57%) and RECIST (53%) being the most common; however, other parameters were also employed. Whilst 72% of initiatives indicated data sharing, its scope varied, with a number of restrictions in place (e.g. transfer of raw data). The largest perceived barriers to data harmonization were the lack of financial support (P < 0.01) and bioinformatics concerns (e.g. lack of interoperability) (P = 0.02). Capturing clinical data was more likely to be perceived as a barrier to data sharing by larger initiatives than by smaller initiatives (P = 0.01). Conclusions: These results identify the main barriers, as perceived by the cancer sequencing community, to effective sharing of cancer genomic and clinical data. They highlight the need for greater harmonization of technical, ethical and data capture processes in cancer sample sequencing worldwide, in order to support effective and responsible data sharing for the benefit of patients.
[Mh] Termos MeSH primário: Estudos de Associação Genética
Neoplasias/genética
[Mh] Termos MeSH secundário: Análise Mutacional de DNA
Bases de Dados Genéticas
Predisposição Genética para Doença
Genoma Humano
Seres Humanos
Anotação de Sequência Molecular
Inquéritos e Questionários
Sequenciamento Completo do Exoma
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180308
[Lr] Data última revisão:
180308
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170429
[St] Status:MEDLINE
[do] DOI:10.1093/annonc/mdx037


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[PMID]:29178822
[Au] Autor:Bowman MJ; Pulman JA; Liu TL; Childs KL
[Ad] Endereço:Department of Plant Biology, Michigan State University, 612 Wilson Rd, Room 166, East Lansing, MI, 48824, USA.
[Ti] Título:A modified GC-specific MAKER gene annotation method reveals improved and novel gene predictions of high and low GC content in Oryza sativa.
[So] Source:BMC Bioinformatics;18(1):522, 2017 Nov 25.
[Is] ISSN:1471-2105
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:BACKGROUND: Accurate structural annotation depends on well-trained gene prediction programs. Training data for gene prediction programs are often chosen randomly from a subset of high-quality genes that ideally represent the variation found within a genome. One aspect of gene variation is GC content, which differs across species and is bimodal in grass genomes. When gene prediction programs are trained on a subset of grass genes with random GC content, they are effectively being trained on two classes of genes at once, and this can be expected to result in poor results when genes are predicted in new genome sequences. RESULTS: We find that gene prediction programs trained on grass genes with random GC content do not completely predict all grass genes with extreme GC content. We show that gene prediction programs that are trained with grass genes with high or low GC content can make both better and unique gene predictions compared to gene prediction programs that are trained on genes with random GC content. By separately training gene prediction programs with genes from multiple GC ranges and using the programs within the MAKER genome annotation pipeline, we were able to improve the annotation of the Oryza sativa genome compared to using the standard MAKER annotation protocol. Gene structure was improved in over 13% of genes, and 651 novel genes were predicted by the GC-specific MAKER protocol. CONCLUSIONS: We present a new GC-specific MAKER annotation protocol to predict new and improved gene models and assess the biological significance of this method in Oryza sativa. We expect that this protocol will also be beneficial for gene prediction in any organism with bimodal or other unusual gene GC content.
[Mh] Termos MeSH primário: Genoma de Planta
Anotação de Sequência Molecular/métodos
Oryza/genética
[Mh] Termos MeSH secundário: Composição de Bases
Cadeias de Markov
RNA de Plantas/química
RNA de Plantas/isolamento & purificação
RNA de Plantas/metabolismo
Ribossomos/metabolismo
Análise de Sequência de RNA
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Nm] Nome de substância:
0 (RNA, Plant)
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180306
[Lr] Data última revisão:
180306
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171128
[St] Status:MEDLINE
[do] DOI:10.1186/s12859-017-1942-z


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[PMID]:29182598
[Au] Autor:Lizio M; Mukarram AK; Ohno M; Watanabe S; Itoh M; Hasegawa A; Lassmann T; Severin J; Harshbarger J; Abugessaisa I; Kasukawa T; Hon CC; Carninci P; Hayashizaki Y; Forrest ARR; Kawaji H
[Ad] Endereço:RIKEN Center for Life Science Technologies, Division of Genomic Technologies, Yokohama 230-0045, Japan.
[Ti] Título:Monitoring transcription initiation activities in rat and dog.
[So] Source:Sci Data;4:170173, 2017 11 28.
[Is] ISSN:2052-4463
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:The promoter landscape of several non-human model organisms is far from complete. As a part of FANTOM5 data collection, we generated 13 profiles of transcription initiation activities in dog and rat aortic smooth muscle cells, mesenchymal stem cells and hepatocytes by employing CAGE (Cap Analysis of Gene Expression) technology combined with single molecule sequencing. Our analyses show that the CAGE profiles recapitulate known transcription start sites (TSSs) consistently, in addition to uncover novel TSSs. Our dataset can be thus used with high confidence to support gene annotation in dog and rat species. We identified 28,497 and 23,147 CAGE peaks, or promoter regions, for rat and dog respectively, and associated them to known genes. This approach could be seen as a standard method for improvement of existing gene models, as well as discovery of novel genes. Given that the FANTOM5 data collection includes dog and rat matched cell types in human and mouse as well, this data would also be useful for cross-species studies.
[Mh] Termos MeSH primário: Transcrição Genética
[Mh] Termos MeSH secundário: Animais
Cães
Anotação de Sequência Molecular
Regiões Promotoras Genéticas
Ratos
Sítio de Iniciação de Transcrição
[Pt] Tipo de publicação:DATASET; JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180305
[Lr] Data última revisão:
180305
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171129
[St] Status:MEDLINE
[do] DOI:10.1038/sdata.2017.173


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[PMID]:28454901
[Au] Autor:Wu S; Han J; Zhang X; Zhong D; Liu R
[Ad] Endereço:School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
[Ti] Título:A computational model for predicting integrase catalytic domain of retrovirus.
[So] Source:J Theor Biol;423:63-70, 2017 Jun 21.
[Is] ISSN:1095-8541
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:Integrase catalytic domain (ICD) is an essential part in the retrovirus for integration reaction, which enables its newly synthesized DNA to be incorporated into the DNA of infected cells. Owing to the crucial role of ICD for the retroviral replication and the absence of an equivalent of integrase in host cells, it is comprehensible that ICD is a promising drug target for therapeutic intervention. However, annotated ICDs in UniProtKB database have still been insufficient for a good understanding of their statistical characteristics so far. Accordingly, it is of great importance to put forward a computational ICD model in this work to annotate these domains in the retroviruses. The proposed model then discovered 11,660 new putative ICDs after scanning sequences without ICD annotations. Subsequently in order to provide much confidence in ICD prediction, it was tested under different cross-validation methods, compared with other database search tools, and verified on independent datasets. Furthermore, an evolutionary analysis performed on the annotated ICDs of retroviruses revealed a tight connection between ICD and retroviral classification. All the datasets involved in this paper and the application software tool of this model can be available for free download at https://sourceforge.net/projects/icdtool/files/?source=navbar.
[Mh] Termos MeSH primário: Domínio Catalítico
Biologia Computacional
Evolução Molecular
Integrases/química
Retroviridae/classificação
Análise de Sequência de Proteína
[Mh] Termos MeSH secundário: Simulação por Computador
Bases de Dados de Proteínas
Anotação de Sequência Molecular
Software
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Nm] Nome de substância:
EC 2.7.7.- (Integrases)
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180305
[Lr] Data última revisão:
180305
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170430
[St] Status:MEDLINE


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[PMID]:27776349
[Au] Autor:De Summa S; Guida M; Tommasi S; Strippoli S; Pellegrini C; Fargnoli MC; Pilato B; Natalicchio I; Guida G; Pinto R
[Ad] Endereço:IRCCS Istituto Tumori "Giovanni Paolo II", Molecular Genetics Laboratory, Bari, Italy.
[Ti] Título:Genetic profiling of a rare condition: co-occurrence of albinism and multiple primary melanoma in a Caucasian family.
[So] Source:Oncotarget;8(18):29751-29759, 2017 May 02.
[Is] ISSN:1949-2553
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:Multiple primary melanoma (MPM) is a rare condition, whose genetic basis has not yet been clarified. Only 8-12% of MPM are due to germline mutations of CDKN2A. However, other genes (POT1, BRCA1/2, MC1R, MGMT) have been demonstrated to be involved in predisposition to this pathology.To our knowledge, this is the first family study based on two siblings with the rare coexistence of MPM and oculocutaneous albinism (OCA), an autosomal recessive disease characterized by the absence or decrease in pigmentation in the skin, hair, and eyes.In this study, we evaluated genes involved in melanoma predisposition (CDKN2A, CDK4, MC1R, MITF, POT1, RB1, MGMT, BRCA1, BRCA2), pathogenesis (BRAF, NRAS, PIK3CA, KIT, PTEN), skin/hair pigmentation (MC1R, MITF) and in immune pathways (CTLA4) to individuate alterations able to explain the rare onset of MPM and OCA in indexes and the transmission in their pedigree.From the analysis of the pedigree, we were able to identify a "protective" haplotype with respect to MPM, including MGMT p.I174V alteration. The second generation offspring is under strict follow up as some of them have a higher risk of developing MPM according to our model.
[Mh] Termos MeSH primário: Albinismo/genética
Estudos de Associação Genética
Predisposição Genética para Doença
Mutação em Linhagem Germinativa
Melanoma/genética
Mutação
Neoplasias Primárias Múltiplas/genética
[Mh] Termos MeSH secundário: Albinismo/diagnóstico
Biomarcadores
Biologia Computacional/métodos
Metilação de DNA
Metilases de Modificação do DNA/química
Metilases de Modificação do DNA/genética
Análise Mutacional de DNA
Enzimas Reparadoras do DNA/química
Enzimas Reparadoras do DNA/genética
Família
Feminino
Genótipo
Sequenciamento de Nucleotídeos em Larga Escala
Seres Humanos
Masculino
Melanoma/diagnóstico
Meia-Idade
Modelos Moleculares
Anotação de Sequência Molecular
Neoplasias Primárias Múltiplas/diagnóstico
Linhagem
Filogenia
Conformação Proteica
Irmãos
Proteínas Supressoras de Tumor/química
Proteínas Supressoras de Tumor/genética
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Nm] Nome de substância:
0 (Biomarkers); 0 (Tumor Suppressor Proteins); EC 2.1.1.- (DNA Modification Methylases); EC 2.1.1.63 (MGMT protein, human); EC 6.5.1.- (DNA Repair Enzymes)
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180305
[Lr] Data última revisão:
180305
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:161025
[St] Status:MEDLINE
[do] DOI:10.18632/oncotarget.12777



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