Research Article

Related GMR Articles

09/21/2017
Brazil; Chromosomes, Plant; Flowers; Hybridization, Genetic; Orchidaceae; Pigmentation; Ploidies; Polymorphism, Genetic

Studies addressing chromosome variations have elucidated many points regarding the taxonomy of the Orchidaceae. Epidendrum L. besides being one the largest orchid genera, present remarkable morphological, and inter- and intraspecific chromosome variations. Thus, based on a previous report on flower color variation in individuals of E. ibaguense (magenta, pink, white, and red), our aim was to ... more

S.R. Nóbrega; A.L.F. Coelho; C.F. Verola; I.R. Costa; R. Vilaça; F.J.F. Luz; W.F. Araújo
2/23/2017
Adolescent; Adult; Brazil; Cross-Sectional Studies; Cystathionine beta-Synthase; Epistasis, Genetic; Female; Folic acid; Gene frequency; Genetic predisposition to disease; Genotype; Heterozygote; Homocysteine; Homozygote; Humans; Linkage disequilibrium; male; Methylenetetrahydrofolate Reductase (NADPH2); Middle Aged; Polymorphism, Single Nucleotide; Risk factors; Thrombophilia; Thrombosis; Vitamin B 12; Young Adult

High plasma homocysteine (Hcy) ​​levels may be responsible for vaso-occlusive episodes and may have acquired and/or genetic causes. This cross-sectional study aimed to investigate the role of methylenetetrahydrofolate reductase (MTHFR; C677T; A1298C) and cystathionine-β-synthase (CBS; T833C/844ins68, G919A) polymorphisms in serum levels of folic acid, vitamin B12 and Hcy, and to verify a ... more

F.M. Amaral; A.L. Miranda-Vilela; G.S. Lordelo; I.F. Ribeiro; M.B. Daldegan; C.K. Grisolia
12/19/2016
Computational biology; Gene Regulatory Networks; Humans; Models, Genetic; Models, Statistical; Translational Research, Biomedical

A salient problem in translational genomics is the use of gene regulatory networks to determine therapeutic intervention strategies. Theoretically, in a complete network, the optimal policy performs better than the suboptimal policy. However, this theory may not hold if we intervene in a system based on a control policy derived from imprecise inferred networks, especially in the small-sample ... more

X.Z. Zan; W.B. Liu; M.X. Hu; L.Z. Shen
4/05/2017
Arthritis, Rheumatoid; Gene expression profiling; Humans; Models, Genetic; Monte Carlo method; Signal transduction; Transcriptome

We attempted to identify significant pathway cross-talk in rheumatoid arthritis (RA) by the Monte Carlo cross-validation (MCCV) method. We therefore obtained and preprocessed the gene expression profile of RA. MCCV involves identifying differentially expressed genes (DEGs), identifying differential pathways (DPs), calculating the discriminating score (DS) of the pathway cross-talk, and random ... more

W. Song; Y.M. Zhang; T. Ma; J. Wang; K.Z. Wang
4/13/2017
Brazil; Crops, Agricultural; Manihot; Models, Genetic; Quantitative Trait, Heritable

The aim of this study was to select morphoagronomic descriptors to characterize cassava accessions representative of Eastern Brazilian Amazonia. It was characterized 262 accessions using 21 qualitative descriptors. The multiple-correspondence analysis (MCA) technique was applied using the criteria: contribution of the descriptor in the last factorial axis of analysis in successive cycles (SMCA ... more

R.S. Silva; E.F. Moura; J.T. Farias-Neto; C.A.S. Ledo; J.E. Sampaio
08/17/2017
Gene-Environment Interaction; Genotype; Gossypium; Models, Genetic; Quantitative Trait, Heritable

Cotton produces one of the most important textile fibers of the world and has great relevance in the world economy. It is an economically important crop in Brazil, which is the world's fifth largest producer. However, studies evaluating the genotype x environment (G x E) interactions in cotton are scarce in this country. Therefore, the goal of this study was to evaluate the G x E interactions ... more

R.S. Alves; P.E. Teodoro; F.C. Farias; F.J.C. Farias; L.P. Carvalho; J.I.S. Rodrigues; L.L. Bhering; M.D.V. Resende
08/17/2017
Adaptation, Physiological; Crop Production; Gene-Environment Interaction; Microsatellite Repeats; Models, Genetic; Soybeans

Genotypes x environment (G x E) interaction consists of different behavior of genotypes cultivated in different environments. This interaction occurs due to the performance variation of each genotype in different environments. To reduce the effect of the interaction in soybean crops, some studies have been reported in the literature to study their adaptability and stability. However, these ... more

I.O. Soares; A.T. Bruzi; E.V. Zambiazzi; S.R. Guilherme; M.C. Bianchi; K.B. Silva; V. Fronza; C.M. Teixeira
08/17/2017
Adaptation, Physiological; Crop Production; Gene-Environment Interaction; Microsatellite Repeats; Models, Genetic; Soybeans

Genotypes x environment (G x E) interaction consists of different behavior of genotypes cultivated in different environments. This interaction occurs due to the performance variation of each genotype in different environments. To reduce the effect of the interaction in soybean crops, some studies have been reported in the literature to study their adaptability and stability. However, these ... more

I.O. Soares; A.T. Bruzi; E.V. Zambiazzi; S.R. Guilherme; M.C. Bianchi; K.B. Silva; V. Fronza; C.M. Teixeira
08/17/2017
Adaptation, Physiological; Crop Production; Gene-Environment Interaction; Microsatellite Repeats; Models, Genetic; Soybeans

Genotypes x environment (G x E) interaction consists of different behavior of genotypes cultivated in different environments. This interaction occurs due to the performance variation of each genotype in different environments. To reduce the effect of the interaction in soybean crops, some studies have been reported in the literature to study their adaptability and stability. However, these ... more

I.O. Soares; A.T. Bruzi; E.V. Zambiazzi; S.R. Guilherme; M.C. Bianchi; K.B. Silva; V. Fronza; C.M. Teixeira
2017 Aug 17
Adaptation, Physiological; Crop Production; Gene-Environment Interaction; Glycine max; Microsatellite Repeats; Models, Genetic

Genotypes x environment (G x E) interaction consists of different behavior of genotypes cultivated in different environments. This interaction occurs due to the performance variation of each genotype in different environments. To reduce the effect of the interaction in soybean crops, some studies have been reported in the literature to study their adaptability and stability. However, these ... more

I.O. Soares; A.T. Bruzi; E.V. Zambiazzi; S.R. Guilherme; M.C. Bianchi; K.B. Silva; V. Fronza; C.M. Teixeira

Pages