Genotyping allows scientists to explore genetic variants such as single nucleotide variants, copy number variants, and large structural changes in DNA. High-throughput genomic technologies such as next-generation sequencing (NGS) and microarrays can provide a deeper understanding of disease etiology on a molecular level.
With multiple genomic targets potentially contributing to disease, analysis requires flexibility and accuracy. Genotyping data analysis tools can analyze results for millions of markers and probes and detect sample outliers, providing insight into the functional consequences of genetic variation.
Interrogate variants across the entire genome to obtain a comprehensive view of genomic variation.
Focus time and resources on genotyping variants in a specific genomic region of interest, often with higher coverage.
Large-scale genotyping with microarrays can identify variants associated with disease risk in large cohorts or populations.
Compare techniques for detecting single nucleotide polymorphisms and variants to determine which approach is best for your needs.
Detect DNA copy number changes, as well as aberrant chromosome amplifications and deletions, relative to a reference genome.
Screen large sample sets for novel genetic variants or species, or target regions of the genome relevant to your specific research interests.
Microarrays are ideal for assessing known markers in the human genome, enabling researchers to find SNPs or larger structural changes among millions of markers.
Microarrays enable cost-effective animal and plant screening applications for large sample numbers. The resulting genotype data can inform selection and breeding decisions.
Genotyping by sequencing (GBS), or next-generation genotyping, is a cost-effective genetic screening method for discovering novel plant and animal SNPs and other variants.
Researchers perform large genome-wide association studies to identify disease-associated DNA risk loci and develop PRSs for clinical validation.
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Scan entire genomes of large numbers of individuals quickly in order to uncover disease-associated genetic variants. Learn more about GWAS.
Analyze germline mutations that predispose individuals to cancer using microarrays and NGS. Learn more about cancer germline mutation analysis.
Find out more about gene target identification, polygenic risk scores, and other disease research topics. Learn more about complex disease research.
Understand how variations in the human genome affect our response to medications. These insights may help maximize treatment benefits while reducing health care costs. Learn more about pharmacogenomics.
We're developing solutions to facilitate early detection and intervention for affected families. Learn more about genetic and rare diseases.
Cardiac gene panels using NGS can help to detect variants associated with cardiomyopathy and other heart diseases. Learn more about cardiovascular genomics.