Metaanalysis Reveals Genetic Correlates of Osteoporosis Pathogenesis.

ABSTRACT:

Objective

Osteoporosis is a growing healthcare burden. By identifying osteoporosis-promoting genetic variations, we can spotlight targets for new pharmacologic therapies that will improve patient outcomes. In this metaanalysis, we analyzed mesenchymal stem cell (MSC) biomarkers in patients with osteoporosis.

Methods

We employed our Search Tag Analyze Resource for the Gene Expression Omnibus (STARGEO) platform to conduct a metaanalysis to define osteoporosis pathogenesis. We compared 15 osteoporotic and 14 healthy control MSC samples. We then analyzed the genetic signature in Ingenuity Pathway Analysis.

Results

The top canonical pathways identified that were statistically significant included the serine peptidase inhibitor kazal type 1 pancreatic cancer pathway, calciu

SUBMITTER: Hasan LK 

PROVIDER: S-EPMC10298833 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature