MLchartDataset catalogue

Genome-wide association study

Term · Oncology and biomedicine · MLC-T-ONC-003503

  1. A study that compares DNA markers across the genome (the complete genetic material in a person) in people with a disease or trait to people without the disease or trait. These studies may uncover clues to help prevent, diagnose, and treat disease. Also called GWAS.

  2. A method used to identify inherited genetic variants associated with risk for a particular disease or trait. A genome-wide association study looks at the entire genome for genetic variants, usually single nucleotide polymorphisms (SNPs), that tend to occur more often in individuals with the disease or trait being studied than in those without the disease or trait. Also called GWAS.

Table 1. Record
IdentifierMLC-T-ONC-003503
FieldOncology and biomedicine
SynonymsGWAS
ReferencesNCI Dictionary of Cancer Terms; NCI Dictionary of Genetics Terms
Record as JSON
{
  "id": "MLC-T-ONC-003503",
  "term": "Genome-wide association study",
  "field": "Oncology and biomedicine",
  "definitions": [
    "A study that compares DNA markers across the genome (the complete genetic material in a person) in people with a disease or trait to people without the disease or trait. These studies may uncover clues to help prevent, diagnose, and treat disease. Also called GWAS.",
    "A method used to identify inherited genetic variants associated with risk for a particular disease or trait. A genome-wide association study looks at the entire genome for genetic variants, usually single nucleotide polymorphisms (SNPs), that tend to occur more often in individuals with the disease or trait being studied than in those without the disease or trait. Also called GWAS."
  ],
  "synonyms": [
    "GWAS"
  ],
  "references": [
    "NCI Dictionary of Cancer Terms",
    "NCI Dictionary of Genetics Terms"
  ],
  "url": "https://mlchart.com/terminology/oncology/genome-wide-association-study/"
}

Record 7,926 of 17,717 in Oncology and biomedicine terminology (MLC-0111). Request the full dataset.