Author Interviews, Genetic Research, Heart Disease, Science / 19.08.2016
Genes Responsible For Cardiometabolic Diseases Identified
MedicalResearch.com Interview with:
[caption id="attachment_27194" align="alignleft" width="130"]
Dr. Johan Björkegren[/caption]
Johan LM Björkegren, MD, PhD
Professor, Chief Clinical Science Officer
Department of Genetics and Genomic Sciences
Icahn Institute for Genomics and Multiscale Biology
Icahn School of Medicine at Mount Sinai
New York
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: The STARNET (Stockholm-Tartu Atherosclerosis Reverse Network Engineering Task) study was launched in 2007 by myself and Dr. Arno Ruusalepp MD, PhD, Chief Cardiac Surgeon at Tartu University Hospital in Estonia, and senior co-author on the study. Unlike similar studies, STARNET obtained samples of several key tissues from 600 clinically well-characterized patients with CAD during coronary artery bypass surgery. By using sophisticated data analysis techniques, the researchers found that the gene expression data from STARNET were highly informative in identifying causal disease genes and their activity in networks not only in CAD but also for other cardiometabolic diseases as well as Alzheimer’s disease.
By analyzing gene-expression data from multiple tissues in hundreds of patients with coronary artery disease, we were able to identify disease-causing genes that either were specific to single tissues or acted across multiple tissues in networks to cause cardiometabolic diseases.
Dr. Johan Björkegren[/caption]
Johan LM Björkegren, MD, PhD
Professor, Chief Clinical Science Officer
Department of Genetics and Genomic Sciences
Icahn Institute for Genomics and Multiscale Biology
Icahn School of Medicine at Mount Sinai
New York
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: The STARNET (Stockholm-Tartu Atherosclerosis Reverse Network Engineering Task) study was launched in 2007 by myself and Dr. Arno Ruusalepp MD, PhD, Chief Cardiac Surgeon at Tartu University Hospital in Estonia, and senior co-author on the study. Unlike similar studies, STARNET obtained samples of several key tissues from 600 clinically well-characterized patients with CAD during coronary artery bypass surgery. By using sophisticated data analysis techniques, the researchers found that the gene expression data from STARNET were highly informative in identifying causal disease genes and their activity in networks not only in CAD but also for other cardiometabolic diseases as well as Alzheimer’s disease.
By analyzing gene-expression data from multiple tissues in hundreds of patients with coronary artery disease, we were able to identify disease-causing genes that either were specific to single tissues or acted across multiple tissues in networks to cause cardiometabolic diseases.

























