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http://krishi.icar.gov.in/jspui/handle/123456789/81535| Title: | Issues and Challenges of Imputation Techniques in Genome Wide Association Studies (GWAS): A Review |
| Other Titles: | Not Available |
| Authors: | Rahul Banerjee Bharti Shbana Begum Pankaj Das Tauqueer Ahmad |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, Pusa-110 012, New Delhi, India ICAR-National Institute for Plant Biotechnology, LBS Centre, Pusa-110 012, New Delhi, India. |
| Published/ Complete Date: | 2023-10-31 |
| Project Code: | Not Available |
| Keywords: | BEAGLE fastPHASE Genome wide association studies Imputation methods IMPUTE MACH Missing mechanisms |
| Publisher: | Bhartiya Krishi Anusandhan Patrika |
| Citation: | 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. |
| Series/Report no.: | Not Available; |
| Abstract/Description: | 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. |
| Description: | Not Available |
| ISSN: | Not Available |
| Type(s) of content: | Article |
| Sponsors: | Not Available |
| Language: | Hindi |
| Name of Journal: | Bhartiya Krishi Anusandhan Patrika |
| Journal Type: | Not Available |
| NAAS Rating: | 4.95 |
| Impact Factor: | Not Available |
| Volume No.: | 38(3) |
| Page Number: | 193-202 |
| Name of the Division/Regional Station: | Division of Sample Surveys |
| Source, DOI or any other URL: | Not Available https://arccjournals.com/journal/bhartiya-krishi-anusandhan-patrika/BKAP597 |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/81535 |
| Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01 (193-202) BKAP597 (1).pdf | 486.84 kB | Adobe PDF | View/Open |
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