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Extreme trait GWAS (Et-GWAS): Unraveling rare variants in the 3,000 rice genome.

Life science alliance - 1 Mar 2024

Gnanapragasam Niranjani, Prasanth Vinukonda Vishnu, Sundaram Krishna Tesman, Kumar Ajay, Pahi Bandana, Gurjar Anoop, Venkateshwarlu Challa, Kalia Sanjay, Kumar Arvind, Dixit Shalabh, Kohli Ajay, Singh Uma Maheshwer, Singh Vikas Kumar, Sinha Pallavi

Abstract excerpt

Identifying high-impact, rare genetic variants associated with specific traits is crucial for crop improvement. The 3,010 rice genome (3K RG) dataset offers a valuable resource for discovering genomic regions with potential applications in crop breeding. We used Extreme Trait GWAS (Et-GWAS), employing bulk pooling and allele frequency measurement to efficiently extract rare variants from the 3K RG. This...

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PMID: 38148113
DOI: 10.26508/lsa.202302352
PMCID: PMC10751245

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