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Issues and Challenges of Imputation Techniques in Genome Wide Association Studies (GWAS): A Review

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Title Issues and Challenges of Imputation Techniques in Genome Wide Association Studies (GWAS): A Review
Not Available
 
Creator Rahul Banerjee
Bharti
Shbana Begum
Pankaj Das
Tauqueer Ahmad
 
Subject BEAGLE
fastPHASE
Genome wide association studies
Imputation methods
IMPUTE
MACH
Missing mechanisms
 
Description Not Available
A genome-wide association study (GWAS) rapidly scans DNA markers in many individuals to find genetic links to diseases. New findings aid in disease detection, treatment and prevention. Imputation predicts untyped genotypes in genetic studies when data is missing due to quality, cost, or design issues. It’s a proven statistical technique for estimating unobserved genotypes by borrowing haplotype segments from a densely genotyped reference panel. This allows estimation and testing of associations at unassayed variants. Genotype imputation is vital in analyzing genome-wide association scans, helping geneticists evaluate evidence for association
at untyped genetic markers. This summary outlines missing data issues and various imputation methods.
Not Available
 
Date 2024-03-01T15:19:55Z
2024-03-01T15:19:55Z
2023-10-31
 
Type Article
 
Identifier Banerjee, R., Bharti, Begum, S., Das, P. and Ahmad, T. (2023). Issues and Challenges of Imputation Techniques in Genome Wide Association Studies (GWAS): A Review. Bhartiya Krishi Anusandhan Patrika. 38(3): 193-202. doi: 10.18805/BKAP597.
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/81535
 
Language Hindi
 
Relation Not Available;
 
Publisher Bhartiya Krishi Anusandhan Patrika