A new study published in the journal PLoS ONE underlines the difficulties being faced in creating personalized genomic medicine, which include variability in human population.
Using genomic data from a large number of individuals, the authors of the study, led by Todd Smith of PerkinElmer in Seattle, Washington, show that current genomic research resources and bioinformatics methods are inadequate for the level of genomic variation among individuals in the population, and that much work will be required before personalized genomic medicine can reach its full potential.
Advertisement"Resources such as microarrays and bioinformatics programs, as well as guiding assumptions used in genetic studies need to be revised," Dr. Smith explains. "For example, regions of linkage disequilibrium and runs of homozygosity, used to tag and predict disease alleles, are much shorter than previously estimated and we found that many GWAS studies contain potentially complicating unprobed variants."
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