By analyzing genetic variations across the entire genome in populations with and without a particular trait we can identify associations between specific genetic markers and traits, helping uncover the genetic basis of diseases.

Using PCR against specific DNA regions we can detect mutations or variations in targeted genes associated with diseases, aiding in diagnostics and personalized medicine.

To understand genetic predispositions, study population genetics, and develop markers for disease susceptibility or drug response we can use variations at a single nucleotide level to identify SNPs associated with traits.

Gene markers associated with diseases can be identified by studying gene regulation, and understanding variations in gene expression levels of genes in a tissue or cell.

Using CRISPR technology to introduce or edit specific genetic markers can be used to investigate gene function by creating or modifying markers, potentially offering therapeutic interventions for genetic disorders.

Large-scale genomic data using computational tools and algorithms can discover patterns and relationships within genomic data, facilitating the identification of potential gene markers associated with diseases or traits.