Select your localized edition:

Close ×

More Ways to Connect

Discover one of our 28 local entrepreneurial communities »

Be the first to know as we launch in new countries and markets around the globe.

Interested in bringing MIT Technology Review to your local market?

MIT Technology ReviewMIT Technology Review - logo

 

Unsupported browser: Your browser does not meet modern web standards. See how it scores »

Large extended families have traditionally been the mother lode of genetic research. From them came a precious commodity: links between the presence of a disease and the errant genes responsible for it. When medical researcher Nancy Wexler, for instance, went looking for the genetic cause of Huntington’s disease in 1979, it was a 9,000-member Venezuelan family that enabled her to trace the telltale patterns of disease inheritance.

Wayne Gulliver’s family is not nearly so large, but it is impressive nonetheless. Until two years ago, when his great-great-aunt passed away, six generations of Gullivers were alive in Newfoundland. His grandmother, who died last October, had some hundred descendants, while his parents, only in their 60s, already have 26 grandchildren to go with their 10 children. All of this would be professionally irrelevant if Gulliver’s family were not typical of Newfoundland, and if Gulliver himself, a dermatologist who studies the genetics of psoriasis, were not involved in a rapidly emerging discipline called population genomics, the goal of which is to identify the underlying genes responsible for common chronic diseases, such as cancer and heart disease.

Two years ago Gulliver met Paul Kelly, CEO of the British company Gemini Genomics, which had already assembled a huge international network of twins to use in searching for gene-disease associations. Gulliver pitched Kelly the idea of supplementing Gemini’s database with population statistics from Newfoundland and Labrador. His selling points were simple: a population of 550,000, of which almost 90 percent are descended from the original Irish, Scottish and English immigrants who arrived before the mid-19th century. It is, Gulliver says, a population in which the locals often know their family lineages back to the original immigrants. “Not like the States,” he says, “where you have three kids, send them off to college, and you might be lucky if you see each other every fifth Thanksgiving.”

And many of those families, like Gulliver’s own, are large. In such a tightly knit population consisting of large extended families, common diseases might run in recognizable patterns-shared by siblings, for instance, or passing through paternal or maternal lines, or linked to other distinctive physical characteristics. All it would take to mine this rich vein of medical history for valuable clues to disease-causing genes would be a sufficient effort, some very advanced biotechnology tools and some startup capital.

Gulliver’s pitch prompted Gemini to launch Newfound Genomics in February 2000. In the near term, Newfound Genomics aims to concentrate on diseases endemic to the local population-psoriasis, diabetes, obesity, inflammatory bowel disease, osteoporosis and rheumatoid arthritis-with the hope, considering the Irish/English/Scottish ancestry, that any relevant genes or gene variants that might be uncovered would play significant roles in other populations. The expectations behind the company are anything but modest, at least judging by the inaugural press release. “We have the potential here to develop a major international powerhouse of clinical genetics,” said Kelly, “that will provide benefit not only for the Newfoundland and Labrador community but also patients suffering from these diseases worldwide.”

Newfound Genomics is just one of a host of such ventures formed over the last few years (see “A Database Sampler” below). The specifics vary from project to project, but the strategies are similar: sift through the DNA of large populations, if not entire nations, in hope of identifying the underlying genetic causes of those diseases most likely to kill us. The researchers, pharmaceutical company executives and venture capitalists involved are all betting that recent advances in biotech and computing have made it possible to take a few hundred or thousand victims of a disease, analyze their DNA, compare it to the DNA of healthy individuals and identify the salient differences-those genetic variations that result in illness on the one hand and health on the other.

A Database Sampler

Company Population
Newfound Genomics (Newfoundland, Canada) 550,000 Newfoundlanders

Autogen
(Melbourne, Australia)
180,000 Tonganese

deCODE genetics
(Reykjavik, Iceland)
280,000 Icelanders

UmanGenomics
(Umea, Sweden)
260,000 Swedes

DNA Sciences
(Fremont, CA)
100,000 Internet users

Wellcome Trust/Medical Research Council

500,000 U.K. volunteers

Pages

0 comments about this story. Start the discussion »

Tagged: Biomedicine

Reprints and Permissions | Send feedback to the editor

From the Archives

Close

Introducing MIT Technology Review Insider.

Already a Magazine subscriber?

You're automatically an Insider. It's easy to activate or upgrade your account.

Activate Your Account

Become an Insider

It's the new way to subscribe. Get even more of the tech news, research, and discoveries you crave.

Sign Up

Learn More

Find out why MIT Technology Review Insider is for you and explore your options.

Show Me
×

A Place of Inspiration

Understand the technologies that are changing business and driving the new global economy.

September 23-25, 2014
Register »