Bf F1 and C2² gene frequencies in patients with insulin dependent diabetes mellitus (IDDM) from three South African populations

Violin plots of R² between predictions and measurements in SAGE, with testing R² from each PrediXcan repository included for benchmarking.

The prediction weights used here are, from left to right: GTEx v6p, GTEx v7, DGN, MESA African Am

Prediction R² between populations in GEUVADIS for genes with positive correlation between predictions and measurements.

The number of genes analyzed in each scenario varied in each case; see

Estimated wildlife populations in national parks (data available for 61,462 km² of the ∼64,000 km²), game management areas (GMAs, data available for 159,654 km² of the ∼166,000 km²) (together ‘protected area network’) and game ranches (5,829 km²) in Zambia (excluding species of bushbuck size and smaller, and hippopotamuses for which count data were not available).

a

Data were obtained from:

Implementation of blood glucose self-monitoring among insulin-dependent patients with type 2 diabetes in three rural districts in Rwanda: 6 months open randomised controlled trial

Introduction Most patients diagnosed with diabetes in sub-Saharan Africa (SSA)

Changes in Glucose Disposal and Cellular Insulin Binding in Obese Black Southern African Patients with Type 2 Diabetes Mellitus Before and After Sulphonylurea Therapy

Peripheral insulin action and cellular insulin binding were studied in 10 newly detected, obese, bla

Evaluation of Geophagy Clay Capacity in Adsorbing Cd²⁺ and Pb²⁺ for Water Treatment in Southeast Nigeria

Geophagy clay has been used in tropical regions as gastrointestinal protector for adsorbing toxins i