A new study by researchers at the Osaka University Graduate School of Medicine reports the epigenetic factors in certain chromosomes that make one twin more at risk for autoimmune thyroid diseases.
‘Differences in the methylation of CpG sites regulate gene expressions which are different for each individual, including twins.’
The thyroid is one of the critical centers for hormone production in the body. It has a fundamental role in the body's metabolism and other functions such as sleep and menstruation. Abnormalities in the thyroid are associated with an assortment of diseases, including autoimmune thyroid diseases, such as Grave's disease and Hashimoto's disease
. In these diseases, the body produces anti-thryoglobulin autoantibodies that cause the immune system to attack the patient.
Associate Professor Watanabe is researching new diagnostics by studying the epigenome of identical twins. Working with the Center for Twin Research at Osaka University, his group found 23 identical twins that were discordant for the production of anti-thyroglobulin autoantibodies and sought to find the genetic and epigenetic causes.
"We hypothesized there are differences in the methylation of CpG sites. The methylation of CpG sites regulates gene expressions. Some diseases like type 1 diabetes show abnormal methylation patterns," says Watanabe.
The methylation of CpG sites is a fundamental form of epigenetic regulation that occurs throughout the body. Indeed, his team found the methylation of CpG sites differed in the discordant pairs with the particular genotypes of 4 polymorphisms.
"The chromosomes containing these polymorphisms were not the same as the chromosomes containing genes associated with the susceptibility of autoimmune thyroid diseases. The genes susceptible to genetic factors and epigenetic factors are different," Watanabe explains.
He says the study demonstrates the complexity in diagnosing metabolic diseases like thyroid disorders.
"Looking at only the genes is not enough. We need to study the genetics and epigenetics to determine the risk."