Division of Genetic Medicine and Clinical Pharmacology Archive — Page 12 of 12

Silhouette of a person facing a glowing DNA double helix, overlaid with floating binary digits in a blue-toned digital composition.
April 30, 2020

EHRs, biobanks and Mendelian diseases

Electronic health records and biobanks can be effectively combined to detect and study Mendelian diseases such as cystic fibrosis.

Medical laboratory scientist Gladys Garrison, MT, MS, loads reagents to prepare DNA samples for analysis in the VUMC Molecular Diagnostics Lab.
April 30, 2020

PREDICT program expands, opens new Genomics Clinic

A new clinic opening at Vanderbilt University Medical Center will help doctors and patients choose the best drugs for their medical conditions based on the patients’ unique genetic makeup.

Stylized 3D rendering of a DNA double helix beside a glowing wireframe Earth, overlaid with molecular formulas, binary digits, and scientific graphics.
April 23, 2020

VUMC joins global effort to explore COVID-19 genetics

Vanderbilt University Medical Center investigators have joined an international genetics effort to make advances as quickly as possible on understanding and treating COVID-19.

March 23, 2020

Study reveals an inherited origin of prostate cancer in families

Vanderbilt researchers have identified haplotypes, ancestral fragments of DNA, that are associated with hereditary prostate cancer (HPC) in a first-of-its-kind genomic study made possible by the study of prostate cancer patients with family histories of the disease.

February 27, 2020

Study finds certain genetic test not useful in predicting heart disease risk

A Polygenic Risk Score — a genetic assessment that doctors have hoped could predict coronary heart disease (CHD) in patients — has been found not to be a useful predictive biomarker for disease risk.

Futuristic digital illustration of a human head and shoulders formed from glowing blue and pink pixels, overlaid with a microchip, circuit patterns, binary digits, and waveform graphics.
January 15, 2020

VUMC study to use artificial intelligence to explore suicide risk

Investigators will use computational methods to shed light on suicidal ideation and its relationship to attempted suicide, predict suicidal ideation and suicide attempt using routine electronic health records (EHRs) and explore the genetic underpinnings of both.