Genetics & Genomics Archive — Page 13 of 15

Adriana Hung, MD, MPH, talks with patient Sylvester Norman, who is participating in the VA Department’s Million Veteran Program.
September 25, 2019

Study shines light on architecture of kidney disease

A study of 280,000 U.S. veterans, including 56,000 African Americans, has identified in greater detail than ever before the genetic architecture of kidney function and chronic kidney disease (CKD), according to researchers at Vanderbilt University Medical Center and their colleagues.

By Bill Snyder
September 19, 2019

Gamazon receives NIH Genomic Innovator Award

VUMC’s Eric Gamazon is one of only six investigators to receive an inaugural Genomic Innovator Award from the National Human Genome Research Institute, part of the NIH.

By Leigh MacMillan
August 26, 2019

Cancer susceptibility genes

Gene variants associated with cancer risk appear to contribute to carcinogenesis by regulating target genes that in turn promote the generation of mutations.

By Leigh MacMillan
April 24, 2019

Study merges big data and zebrafish biology to reveal mechanisms of human disease

In a series of studies that volleyed between large databases and research in zebrafish, Vanderbilt investigators have discovered a link between vascular biology and eye disease.

By Leigh MacMillan
Researchers who helped find high-risk genes for schizophrenia included, from left, Quan Wang, PhD, Bingshan Li, PhD, Nancy Cox, PhD, Rui Chen, PhD, Xue Zhong, PhD, Qiang Wei, PhD, and James Sutcliffe, PhD.
April 18, 2019

Researchers find high-risk genes for schizophrenia

Using a unique computational framework they developed, a team of scientist cyber-sleuths in the Vanderbilt University Department of Molecular Physiology and Biophysics and the Vanderbilt Genetics Institute (VGI) has identified 104 high-risk genes for schizophrenia.

By Bill Snyder
January 31, 2019

Study explores genetic risk for suicide attempt

Using data from the UK Biobank and Vanderbilt’s BioVU, a new study in the journal Molecular Psychiatry finds that approximately 4 percent of suicide attempt risk is captured by genotype data.

By Paul Govern