Health
Ethnic diversity helps identify more genomic regions associated with diabetes-related traits
By including multi-ethnic participants, large-scale genetic studies have identified more regions of the genome associated with type 2 diabetes-related traits than if the studies were conducted solely in Europeans.
international MAGIC collaborationIs made up of more than 400 global scholars and conducted a genome-wide related meta-analysis led by the University of Exeter.Published in Nature genetics, Their findings show that expanding research into different ancestors not only yields more and better results, but ultimately benefits global patient care. ..
Until now, almost 87 percent This type of genomic research is being conducted in Europeans. This means that the way these findings are implemented may not provide optimal benefits to people from non-European ancestry.
The team analyzed data from a wide range of cohorts. Diabetes.. Researchers have examined the glycemic properties used to diagnose diabetes and monitor blood sugar and insulin levels.
Researchers have integrated 30% of the entire cohort with individuals from East Asia, Hispanics, African Americans, South Asia, and sub-Saharan Africa. In doing so, they discovered 24 loci or genomic regions associated with glycemic properties than when the study was conducted solely on Europeans.
Professor Ines Barroso of the University of Exeter, who led the study, said: “Type 2 diabetes is an ever-growing global health problem, with most of the largest increases occurring outside Europe. Genetic factors Between different countries and cultures, our research teaches us that they are different in the way we need to understand. It is important to ensure that we can provide a precise diabetes treatment approach that optimizes the treatment and care of everyone. “
Dr. Ji Chen, the lead author of the University of Exeter, said: “By including an ethnically diverse cohort than if we were limiting our work to Europeans, we discovered 24 additional regions of the genome. Beyond morality, we ensure that research reflects the world’s population. Discussions to do, our work shows that this approach produces better results. “
The team found that not all loci were detected in all ancestors, but they were still useful in obtaining information about the glycemic properties of that ancestor. Co-author Cassandra Spracklen, an assistant professor at the University of Massachusetts Amherst, said: Ancestors do not work well with people of different ancestry. This is important as healthcare moves to a more accurate approach. Not considering genetic variation by ancestors affects the ability to accurately diagnose diabetes. “
This study, entitled “Genome Architecture Beyond the Ancestors of Glycemic Properties,” Nature genetics..
Genome architecture beyond the ancestors of glycemic properties, Nature genetics (2021). DOI: 10.1038 / s41588-021-00852-9 , www.nature.com/articles/s41588-021-00852-9
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