Life Sciences

Disease cohort study is commonly used to observe the relationship between a risk factor and the incidence of a disease or other health outcome. Strong analytical capabilities and quality data are vital to perform a successful disease cohort study.

 

Leveraging our analytical capabilities and integration of genomic data and clinical data (ADB), we serve as a platform and help our partners identify new targets for drug discovery or new patient populations that would benefit from repurposing an existing therapeutic method.

Disease Cohort

Metabolic
  • Diabetes
  • MASH
Kidney
  • Chronic Kidney Disease
  • IgA Nephropathy
Cardiovascular
  • Familial Hypercholesterolemia
  • Cardiomegaly
  • Hypertrophic Cardiomyopathy
Cancer
  • Breast Cancer
  • Hepatocellular Carcinoma (HCC)
  • Lung Cancer
  • Upper Tract Urothelial Carcinoma (UTUC)
Autoimmune
  • Systemic lupus erythematosus (SLE)
  • Rheumatoid arthritis (RA)
Rare Disease
  • CADASIL
  • William Syndrome
  • Hearing Impairment
  • Dyslexia
  • Primary Cutaneous Amyloidosis (PCA)

Cohort Study

GWAS

PheWAS

Genome-wide association studies (GWAS)

PDC4PM collaborates with partners to define case and control cohorts, ensuring proper cohort refinement and sample size. Our GWAS service includes statistical output (e.g., P-values, odds ratio, variant), Manhattan plots, and Q-Q plots.

Phenome-wide association studies (PheWAS)

PDC4PM provides precomputed PheWAS data from the entire dataset or conducts custom PheWAS analysis based on specific genes and variants requested by customers. Our PheWAS service includes a statistical output file (e.g., P-values, odds ratio, variant) and Manhattan plots.

Learn more about our disease cohort