Statistical Tools in Marker Analysis

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Authors: Jitendra Kumar, Damini Sharma, Priya Gupta, Namita Singh, Mohammad Javed Ansari, Pratima Raypa
Cited by: 0

Abstract

Statistical tools play a crucial role in marker analysis, enabling researchers to decipher the genetic basis of complex traits by linking molecular markers to phenotypic data. These tools help analyze genetic diversity, construct linkage maps, identify quantitative trait loci (QTLs), and perform genome-wide association studies (GWAS). Advanced statistical methodologies enhance the precision, accuracy, and efficiency of marker analysis, supporting applications in genetics, genomics, and breeding.

Fields of Study & Subjects

Statistical Methods and Bayesian Inference Bayesian Methods and Mixture Models Statistical Methods and Applications

Publication details

Pages
130–154
Publication date
5 January 2026
Language
EN
Document type
Book chapter