Genetics & Genomics

Study shows gene-drug interactions are common

When a drug or combination of drugs causes different responses in different people, genetic variation is often at play. Pharmacogenomics, through discovery of genetic risk and use of clinical genotyping, aims to reduce trial-and-error approaches to drug prescribing.

From left, Dan Roden, MD, Ayesha Muhammad, Jonathan Mosley, MD, PhD, and Sara Van Driest, MD, PhD, found that a genome-wide approach can improve the prediction of drug responses.

For more precise drug treatments, ‘squeeze’ the genome: study finds

Large-scale studies will be required to identify the complexity of genetic variations that affect how patients respond to a given drug and whether they will have side effects, according to researchers at Vanderbilt University Medical Center.

Study finds genetic risk factors for severe COVID-19 illness

A massive worldwide collaboration including researchers from Vanderbilt University Medical Center (VUMC) has identified several genetic factors associated with SARS-CoV-2 infection and severe COVID-19 illness.

Genetics of hydrocephalus

Fluid build-up in the brain — hydrocephalus — increases pressure and risk for brain damage; Vanderbilt researchers have now identified genes and signaling pathways associated with the condition.

From left, Scott Borinstein, MD, PhD, Jonathan Mosley, MD, PhD, and Sara Van Driest, MD, PhD, found that some healthy African Americans are having bone marrow biopsies they don’t need. (photo by Erin O. Smith)

Gene variant linked to unnecessary bone marrow biopsies in African Americans

A gene variant that lowers white blood cell levels and is common in individuals with African ancestry contributes to unnecessary bone marrow biopsies, according to a study published June 28 in JAMA Internal Medicine.

VUMC joins national effort to improve disease prediction in diverse populations

Vanderbilt University Medical Center will participate in a new federal initiative aimed at improving the use of polygenic risk scores (PRS) to predict complex diseases in diverse populations.

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