Anav Babbar

National Institutes of Health (NIH)

1 active project

Hypothyroidism genomics

In previous work, certain genetic variants were found to be associated with hypothyroidism using techniques such as GWAS and PheWAS. Current work will leverage the diversity of the All of Us data to replicate and confirm the association between those…

Scientific Questions Being Studied

In previous work, certain genetic variants were found to be associated with hypothyroidism using techniques such as GWAS and PheWAS. Current work will leverage the diversity of the All of Us data to replicate and confirm the association between those variants and hypothyroidism, and possibly identify new variants that are associated with hypothyroidism.

Project Purpose(s)

  • Disease Focused Research (hypothyroidism)
  • Ancestry

Scientific Approaches

Will use All of Us genetic data and genomic techniques such as GWAS/PheWAS to identify genomic variants that are associated with hypothyroidism. Tools used include Python, R, Hail, SQL, etc.

Anticipated Findings

We seek to replicate and confirm previously identified variants associated with hypothyroidism, while possibly identifying new variants that could become targets of further study to understand the disease process of hypothyroidism. The diversity of the All of Us dataset may allow us to find these new variants.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

  • Anav Babbar - Other, National Institutes of Health (NIH)
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