Personalized Medicine and the Genetics of Disease
An ongoing debate among geneticists over the nature of common diseases.
A trio of commentaries published online by the New England Journal of
Medicine tackles an argument that has been heating up among geneticists. It looks at the usefulness of the genome-wide association studies (GWAS) that have become
ubiquitous in genetics in the last few years. While such studies have
identified more than 300 genetic variations linked to common diseases and other
traits, taken together, they account for a relatively small proportion of the
genetic risk of disease.
I explored what this might mean for personalized medicine in
a feature in our January issue, “Interpreting the
Genome.”
The latest data
suggest that even the most common heritable illnesses, such as diabetes and
heart disease, are linked to many different variants, each of them relatively
rare. If that’s true, then practicing personalized medicine could become very
complicated–and very expensive. “It would not be good to have a $5,000
genome and a $500,000 analysis,” says Francis Collins, the former director
of the National Human Genome Research Institute and a leader of the Human
Genome Project.
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Thanks to relatively cheap microarrays that allow scientists
to quickly scan the genome for specific variations linked to disease,
researchers around the globe have been gathering data on tens of thousands of
individuals with common genetic diseases, such as diabetes. With huge numbers of
people in these studies, scientists can search for genetic variations that have
subtler effects on disease.
Some scientists, including David Goldstein, who wrote one of the commentaries in the NEJM, argue that this approach has outlived its utility:
[It’s] hard to have
any enthusiasm for conducting genome scans with the use of ever
larger cohorts after a study of the first several thousand subjects
has identified the strongest determinants among common variants.
These initial studies for a given common disease are worth doing,
since common variants do appear to explain a sizable fraction of the
heritability of certain conditions–notably, exfoliation glaucoma, macular degeneration, and Alzheimer’s disease. Beyond studies of
this size, however, we enter
the flat or declining part of the effect-size distributions, where
there are probably either no more common variants to discover or no
more that are worth discovering.
Joel Hirschhorn, author of an
opposing commentary, argues that a similar debate took place when GWAS were
just getting started, and that the outcome of these studies was much better
than naysayers predicted. He also counters arguments that the results of these
studies will have little impact on personalized medicine:
The main goal of these
studies is not prediction of individual risk but rather discovery of
biologic pathways underlying polygenic diseases and traits …
Critically, genomewide association studies have also highlighted pathways whose relevance to a particular disease or trait was previously unsuspected. The genetic variants that are associated with age-related macular degeneration strongly implicate components of the complement system, the loci associated with Crohn’s disease point unambiguously to autophagy and interleukin-23-related pathways, and the height loci include genes encoding chromatin proteins and hedgehog signaling. This clustering into biologic pathways is highly nonrandom (as has been demonstrated by Raychaudhuri and Daly). Already, efforts are under way to translate the new recognition of the role of autophagy in Crohn’s disease into new therapeutic leads. As more pathways are highlighted and additional hypotheses emerge, new projects can be born.