Integrating a genome‐wide association study with a large‐scale transcriptome analysis to predict genetic regions influencing the glycaemic index and texture in rice

Summary Reliably generating rice varieties with low glycaemic index (GI) is an important nutritional intervention given the high rates of Type II diabetes incidences in Asia where rice is staple diet. We integrated a genome‐wide association study (GWAS) with a transcriptome‐wide association study (T...

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Veröffentlicht in:	Plant biotechnology journal 2019-07, Vol.17 (7), p.1261-1275
Hauptverfasser:	Anacleto, Roslen, Badoni, Saurabh, Parween, Sabiha, Butardo, Vito M., Misra, Gopal, Cuevas, Rosa Paula, Kuhlmann, Markus, Trinidad, Trinidad P., Mallillin, Aida C., Acuin, Cecilia, Bird, Anthony R., Morell, Matthew K., Sreenivasulu, Nese
Format:	Artikel
Sprache:	eng
Schlagworte:	Alleles Alternative splicing Amylose Analysis Animals Asia biotechnology Blood sugar Chromatin Chromosome 6 Chromosomes Cooking Diabetes Diabetes mellitus diet Digestion exons final viscosity Gene expression Gene Expression Profiling gene regulatory networks Gene sequencing Genes Genetic analysis Genetic Association Studies Genetic diversity Genetic engineering Genetic research Genetic variance gene‐regulatory network analysis Genome-wide association studies genome-wide association study Genomes Genomics Germplasm Glucose glycaemic index Glycemic Index Haplotypes Humans Hydrolase hydrolases In vivo methods and tests Mendelian Randomization Analysis Methylation Network analysis Non-starch polysaccharides Nucleotides Nutrition research nutritional intervention Oryza - chemistry Oryza - genetics Oryza sativa indica Phenotype phenotypic variation Phenotypic variations Polymorphism, Single Nucleotide Polysaccharides promoter regions Promoter Regions, Genetic Quality Rice Signal transduction Single-nucleotide polymorphism Software Splicing Starch Studies Swine Texture Transcriptome transcriptome‐wide association study transcriptomics Viscosity whole‐genome bisulfite sequencing
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