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Gene Mapping


Advances in high-throughput genotyping and sequencing, coupled with the availability of large phenotype data from routine breeding programs and a better understanding of genome sequence variation in several livestock species, have made next-generation genetic studies feasible. The central research objective of the ‘gene mapping’ team is to identify the sequence variations that play causal role in the phenotype of interest in livestock species. 

We are interested in developing statistical methods and computational tools to identify genetic variants involved in Mendelian and complex genetic disorders, and contributing to economic traits’ variations. 

We apply genotype-driven approach for identification of recessive lethal mutations, typically monogenic.

We have an active interest in mapping low frequency and rare causal variants and working with tools to interpret the functional consequences of sequence variants, including non-coding variants.

When selection acts on a mutation, it also affects linked sites and leaves a signature in the flanking chromosomal regions. We use genomic data to study population structure and identifying signature for selection in the genome.

Key research areas                                                                 

1.       Genome-wide association study

2.       Genetic architecture of complex diseases and quantitative traits

3.       Whole genome sequence data analysis

4.       Identification of recessive deleterious/lethal mutations

5.       Evolutionary genetics

6.       Signatures of selection

7.       Bioinformatics tools to prioritize candidate variants


Team coordinator

Goutam Sahana

Senior Researcher Center for Quantitative Genetics and Genomics

Members