By Meg McCarthy
You run several manufacturing plants for an automaker when you start getting reports of unexpected breakdowns in your new production model. You painstakingly investigate the cause of the breakdown on a part-by-part basis at one of your factories and find the problem part. You look at cars from your other factories experiencing the breakdowns but find the same part working well in those cars. What do you do?
This captures the challenge faced by the investigators of the Alzheimer’s Disease Genetics Consortium (ADGC), whose work to identify genetic risk factors for Alzheimer’s disease (AD) is complicated by the fact that the genetic variants causing disease in persons of one ancestral background may be very different from those driving disease on other background.
In research co-led by Adam Naj, PhD, a genetic epidemiologist and assistant professor of epidemiology at the University of Pennsylvania’s Perelman School of Medicine, including subjects with diverse ancestries was essential to detecting signals that would otherwise go unseen.