Research May Lead to Highly Targeted, Individualized Therapies
In what is so far the largest investigation of its kind, researchers uncovered a wide range of new insights about common diseases and how they are affected by differences between two persons’ genes. The results from this study could lead to highly targeted, individualized therapies.
Led by scientific experts from Weill Cornell Medical College in Qatar and published in a recent edition of the journal Nature, the study provides details on the genetics behind many diseases, including cardiovascular and kidney disorders, diabetes, cancer, gout, thrombosis and Crohn’s disease, and elucidates the role that individual differences in metabolism play in these disorders.
Disturbances in metabolism are at the root of a variety of human afflictions and complex diseases. Although many of the genes that contribute to these conditions have been identified since the completion of the Human Genome Project in 2003, it is still not known how metabolic disorders related to these genetic aberrations disrupt cellular processes.
Now researchers addressed this challenge by using a new technology, called metabolomics. They measured the levels of more than 250 biochemical compounds in over 60 metabolic pathways, including lipids, sugars, vitamins, amino acids and others in blood from over 2,800 individuals.
Most of the SNPs were located in genes known to encode proteins involved in the relevant metabolic pathways. Fifteen of the SNPs had previously been associated with metabolism-related conditions, such as cardiovascular disease, kidney disease, gout, diabetes, gastrointestinal diseases, cancer and adverse drug reactions. But the new findings also uncovered a wealth of new associations that link the genetic makeup of a person to his or her biochemical capacities. This data is publicly available in an online database, accessible at www.gwas.eu.
Given the exceptional size of the dataset, the researchers prioritized the data to focus on 37 SNPs that were most strongly associated with metabolic traits, 23 of which had never been described before. The 37 SNPs had very large effects on the individuals’ metabolite levels and can be considered to constitute what the authors call the “genetic basis of human metabolic individuality.”
In addition to providing functional insights into the genetic basis of metabolic traits and complex diseases, this information is a way to understand an individual’s uniqueness so as to develop highly targeted, personalized therapies and enable novel types of treatments or prevent adverse drug reactions.