GWAS
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Explore more → **GWAS**
What is GWAS?
Genome-wide association studies (GWAS) are an approach used in genetics research to associate specific genetic variations with particular diseases or traits. GWAS involve scanning the genomes from many different people and looking for genetic markers that can be used to predict the presence of a disease or trait. GWAS are commonly used to identify genetic risk factors for complex diseases, such as diabetes, heart disease, and cancer.
What other technologies are related to GWAS?
GWAS Complementary Technologies
PheWAS
No summary available
PheWAS is a complementary method to GWAS, as it investigates the association of a single genetic variant with multiple phenotypes, while GWAS investigates the association of multiple genetic variants with a single phenotype.
Mendelian randomization
Mendelian randomization is a complementary method that uses genetic variants as instrumental variables to infer causal relationships between risk factors and outcomes, often using GWAS summary data.
WGS
Whole-genome sequencing (WGS) provides comprehensive genetic information that can be used in GWAS studies to identify causal variants.
Number of organizations that mention technology
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Which job functions commonly mention GWAS?
Geneticist
1.5% of all Geneticist jobs mention GWAS
View 9
jobs on Sumble
Bioinformatician
1.0% of all Bioinformatician jobs mention GWAS
View 31
jobs on Sumble
Bioinformatics
0.5% of all Bioinformatics jobs mention GWAS
View 53
jobs on Sumble
Statistician
0.2% of all Statistician jobs mention GWAS
View 54
jobs on Sumble
Biologist
0.2% of all Biologist jobs mention GWAS
View 72
jobs on Sumble
Which organizations are mentioning GWAS?
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