Complex patterns of genetic ancestry can provide insights into genetic, environmental factors of many diseases
The complex patterns of genetic ancestry uncovered from genomic data in health care systems can provide valuable insights into both genetic and environmental factors underlying many common and rare diseases insights that are far more targeted and specific than those derived from traditional ethnic or racial labels like Hispanic or Black, according to a team of Mount Sinai researchers.
In a study in the journal
Cell, the team reported that this information could be used to better understand and predict which populations are more susceptible to certain disorders including cancers, asthma, diabetes, and cardiovascular disease and to potentially develop early interventions.
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The complex patterns of genetic ancestry uncovered from genomic data in health care systems can provide valuable insights into both genetic and environmental factors underlying many common and rare diseases insights that are far more targeted and specific than those derived from traditional ethnic or racial labels like Hispanic or Black, according to a team of Mount Sinai researchers.
In a study in the journal
Cell, the team reported that this information could be used to better understand and predict which populations are more susceptible to certain disorders including cancers, asthma, diabetes, and cardiovascular disease and to potentially develop early interventions. This is the first time researchers have shown how genetic ancestry data could be used to enhance our understanding of disease risk and management at a health system level, says senior author Eimear Kenny, PhD, Professor of Medicine, and Genetics and Genomic Sciences, at the Icahn School of Medicine at