Echo Examiner: People With Blue Eyes Likely To Drink More

Specifically, the team used a large patient database consisting of genetic profiles from people who were diagnosed with at least one form of psychiatric illness, including drug and alcohol dependence and/or addiction.

Specifically, the researchers found out that it was primarily European Americans with light-colored eyes that had the highest chances of becoming alcohol dependent than those with dark brown eyes.

The study explains that the genetic components that determine eye color are closely associated with excessive alcohol use.

The definition of alcohol dependence came from the HAMS model for reducing harm for alcohol – using criteria from the Diagnostic and Statistical Manual of Mental Disorders – 4th Edition, researcher Dawei Li told The Huffington Post.

This study-out of the University of Vermont-has been published this week in the American Journal of Medical Genetics Neuropsychiatric Genetics B.

Of those in the focus group, 1,263 were determined to be alcohol-dependent. The experts looked for and identified an eye color link and subsequently repeated their investigation for three more times, also taking into consideration other factors such as the study subjects’ gender, age and differences in locations and backgrounds. Most individuals with light colored eyes are also of European ancestry, which is a possible cultural reason as to why they consume more alcohol than other individuals.

So the color of our eyes may well correlate with alcohol addiction, but blue-eyed people should not think that the blue-eye genes are determining the connection.

Li said more research was needed to confirm these early findings. In the same previously mentioned statement Li added: “These are complex disorders”. If the correlation still exists in future studies, researchers will have a better idea of whether or not blue eyes are a telltale sign of alcohol dependence.

According to a new study, the early signs of alcoholism may be reflected in your eye color.

Indeed, Sulovari goes on to say, “What has fascinated me the most about this work has been investigating the interface between statistics, informatics and biology”.