Genomicassisted

Genomicassisted, sometimes written as genomics-assisted, is a descriptor used to characterize methods and strategies that incorporate genomic information to inform decision-making in biology, agriculture, medicine, and conservation.

In agriculture and animal breeding, genomicassisted approaches include genomic-assisted selection and genomic-guided breeding, which use genome-wide marker data (such as SNP panels) to predict breeding values and accelerate genetic gain.

In human and veterinary medicine, genomics-assisted or precision medicine uses patient or animal genomic information to guide diagnosis, prognosis, and treatment, including pharmacogenomics.

In conservation and ecology, genomicassisted management uses genomic data to assess diversity, structure populations, and inform translocations.

Common tools include genome-wide association studies, genomic selection, genotype imputation, and integrative data analysis; these methods rely on large genomic datasets and statistical models.

Benefits of genomicassisted approaches include higher accuracy in predicting traits, shorter breeding cycles, and a deeper understanding of trait architecture. Limitations include cost, data quality, population transferability, privacy and ethical concerns, and the need for specialized expertise.

The term is not a formal standardized designation but an umbrella descriptor in the literature, variably spelled. See also genomics, genomic selection, and marker-assisted selection.