Integrating a genome‐wide association study with a large‐scale transcriptome analysis to predict genetic regions influencing the glycaemic index and texture in rice
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 (TWAS) to...
| Main Authors: | , , , , , , , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2019
|
| Online Access: | https://hdl.handle.net/10568/164741 |
Similar Items: Integrating a genome‐wide association study with a large‐scale transcriptome analysis to predict genetic regions influencing the glycaemic index and texture in rice
- OsTPR boosts the superior grains through increase in upper secondary rachis branches without incurring a grain quality penalty
- Dissecting the genome-wide genetic variants of milling and appearance quality traits in rice
- Whole genome sequencing-based association study to unravel genetic architecture of cooked grain width and length traits in rice
- Deciphering the genetic architecture of cooked rice texture
- Balancing the double‐edged sword effect of increased resistant starch content and its impact on rice texture: its genetics and molecular physiological mechanisms
- Systems seed biology to understand and manipulate rice grain quality and nutrition