New 23andMe+ Report on Seasonal Allergies
From the 23andMe Blog:
This week, we released a new 23andMe+ Wellness report on seasonal allergies that is powered by 23andMe Research.
While the sniffling, sneezing and itchy eyes that come with seasonal allergies are often triggered by pollen from blooming trees and flowers in spring and summer, many of those with seasonal allergies also have symptoms in the fall when levels of allergens from weeds and mold are at their highest.
A Common Condition
Seasonal allergies, also known as hay fever or allergic rhinitis, are relatively common. It is estimated that around 27 percent of people in the U.S. are allergic to grasses, trees, and weeds. Still, the actual percentage of people who develop symptoms of seasonal allergies is less clear. Many who might experience seasonal allergies are not exposed to pollens or allergens that would trigger a reaction, so remain unaware. The condition tends to hit women harder than men. A little over ten percent of males have seasonal allergies. More than 17 percent of women report having the condition, according to 23andMe internal data from customers who consented to participate in research.
The US states with the least prevalence of seasonal allergies among 23andMe customers who consented to participate in research are Hawaii, New York, California, and Florida. Customers in Oklahoma, New Mexico, and Kentucky, were the most likely to report seasonal allergies.
A recent study indicated that climate change might worsen the situation for some due to the lengthening of the pollen season in North America.
Beyond the common symptoms of stuffy noses and itchy eyes, seasonal allergies and their associated symptoms can also lead to other issues such as difficulty sleeping or difficulty concentrating during the day. In addition, individuals with seasonal allergies are more likely to develop asthma or experience difficulty breathing or wheezing.
A New Report
Our new report is powered by data from people who have consented to participate in 23andMe research and uses machine learning techniques to estimate an individual’s likelihood of having seasonal allergies to trees, grasses, weeds, and or molds.
This estimate is made using a statistical model that includes more than 6,500 genetic markers and information on an individual’s ethnicity and birth sex. You can learn more about the science and methodology behind our new report in this white paper.
You can read more at: https://blog.23andme.com/health-traits/seasonal-allergies/