{"id":8038,"date":"2018-01-08T12:36:43","date_gmt":"2018-01-08T17:36:43","guid":{"rendered":"https:\/\/fomatmedical.com\/?p=8038"},"modified":"2026-04-23T20:27:41","modified_gmt":"2026-04-24T03:27:41","slug":"effect-of-medicine","status":"publish","type":"post","link":"https:\/\/fomatmedical.com\/es\/blogs-updates\/effect-of-medicine\/","title":{"rendered":"Las distintas mutaciones humanas pueden alterar el efecto de los medicamentos."},"content":{"rendered":"

The effect of medicine can vary significantly from person to person due to distinct human DNA mutations. Every person has a unique DNA sequence, and a study published in the scientific journal Cell<\/a> examines certain receptors known as GPCRs in human cells. These protein receptors are the primary targets of the largest group of marketed modern medicines.<\/p>\n

How Human Mutations Alter the Effect of Medicine<\/h3>\n

By mining existing datasets, researchers have mapped the extent to which mutations occur within GPCR drug targets in individuals and studied what impact these mutations could have on the therapeutic effect of medicine.<\/p>\n

“We estimate that an average of 3 percent of the population have receptors that contain mutations that can alter the effect of medicine,” says first author Alexander Hauser from the Department of Drug Design and Pharmacology at the University of Copenhagen.<\/p>\n

“This might mean that the medicine simply works less efficiently. It can also mean that the medicine does not work at all, or causes adverse effects on patients,” adds Madan Babu from the MRC Lab of Molecular Biology in Cambridge, where Hauser conducted this research.<\/p>\n

The Research Behind These Findings<\/h3>\n

The researchers analyzed mutations in human GPCRs using whole genome sequencing data from the 1,000 Genomes project with approximately 2,500 participants, as well as exome data from the ExAC project with over 60,000 participants. They then used structural data to identify critical sites in GPCRs to uncover which mutations are most likely to alter the effect of medicine on patients.<\/p>\n

Which Receptors Show the Greatest Effect of Medicine Variation<\/h3>\n

The 3 percent figure represents an average across the population. For some important receptors, the impact on the effect of medicine is far greater:<\/p>\n