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Polygenic risk scores from multi-population data could improve IBD predictions

Using genetic data from nearly 30,000 people, Mount Sinai researchers have built risk scores from a combination of datasets representing distinct ancestral populations that improve prediction of risk for inflammatory bowel diseases (IBD) including Crohn's disease and ulcerative colitis. The study was published in Gastroenterology on December 24. ....

United States , United Kingdom , Kyle Gettler , Judyh Cho , Emily Henderson , Charles Bronfman Institute For Personalized Medicine , Icahn School Of Medicine At Mount Sinai , Genomic Sciences , Cho Laboratory , Icahn School Of Medicine , Department Of Genetics , Mount Sinai , Biome Biobank , Ashkenazi Jewish , United Kingdom Biobank , African American , Senior Author , Translational Genetics , Charles Bronfman Institute , Personalized Medicine , Icahn School , Crohn 39s Disease , Ctla 4 , Ulcerative Colitis , ஒன்றுபட்டது மாநிலங்களில் , ஒன்றுபட்டது கிஂக்டம் ,

Study: Genetic data can help predict IBD risk

Study: Genetic data can help predict IBD risk
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Genetic data can help identify people at risk for inflammatory bowel diseases, a new study has found. Photo by Derneuemann/Pixabay
Dec. 24 (UPI) Genetic data from people of different racial and ethnic backgrounds can be used to predict a person s risk for inflammatory bowel disease, according to an analysis published Thursday in the journal Gastroenterology.
Using data from the Mount Sinai Hospital System s multi-ethnic BioMe Biobank, a storehouse of individual patient molecular and genetic profiles, the researchers developed what they call polygenic risk scores.
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With these scores, they were able to accurately predict which patients would develop an IBD, the researchers said. ....

New York , United States , Judyh Cho , Charles Bronfman Institute For Personalized Medicine , Us Centers For Disease , Icahn School Of Medicine At Mount Sinai , Mount Sinai Hospital System , Biome Biobank , Charles Bronfman Institute , Personalized Medicine , Icahn School , Mount Sinai , Disease Control , New York City Based Mouth Sinai Hospital , Ashkenazi Jewish , United Kingdom Biobank , African American , புதியது யார்க் , ஒன்றுபட்டது மாநிலங்களில் , சார்லஸ் ப்ரான்ஃப்மேன் நிறுவனம் க்கு தனிப்பயனாக்கப்பட்டது மருந்து , எங்களுக்கு மையங்கள் க்கு நோய் , இக்ஹ்ன் பள்ளி ஆஃப் மருந்து இல் ஏற்ற சினை , ஏற்ற சினை மருத்துவமனை அமைப்பு , சார்லஸ் ப்ரான்ஃப்மேன் நிறுவனம் , தனிப்பயனாக்கப்பட்டது மருந்து , இக்ஹ்ன் பள்ளி ,

Multi-population risk scores could improve risk prediction for inflammatory bowel diseases, study finds

New study illustrates how studying diverse populations can help predict patient outcomes and reduce health disparities ....

New York , United States , North Yorkshire , United Kingdom , Long Island , Kyle Gettler , Judyh Cho , Health System , Charles Bronfman Institute For Personalized Medicine , Cho Laboratory , Helmsley Charitable Trust , Icahn School Of Medicine At Mount Sinai , Genomic Sciences , Mount Sinai Health System , Icahn School Of Medicine , Department Of Genetics , Mount Sinai , Biome Biobank , Ashkenazi Jewish , United Kingdom Biobank , Translational Genetics , Charles Bronfman Institute , Personalized Medicine , Icahn School , African American , Mount Sinai Health ,

Multi-Population Risk Scores Could Improve Risk Prediction for Inflammatory Bowel Diseases, Study Finds | Mount Sinai

(December 24, 2020)
Using genetic data from nearly 30,000 people, Mount Sinai researchers have built risk scores from a combination of datasets representing distinct ancestral populations that improve prediction of risk for inflammatory bowel diseases (IBD) including Crohn’s disease and ulcerative colitis. The study was published in
Gastroenterology on December 24.
The researchers found that polygenic risk scores, built using association data from multiple populations in Mount Sinai’s multi-ethnic Bio
Me Biobank, maximized IBD predictions for every population in the biobank. Bio
Me is a system-wide effort at Mount Sinai that is revolutionizing diagnosis and classification of diseases according to the patient’s molecular profile. The study showed that risk scores calculated from integrating data significantly improved predictions among individuals with European, Ashkenazi Jewish, and Hispanic ancestry in Bio ....

New York , United States , North Yorkshire , United Kingdom , Kyle Gettler , Judyh Cho , Charles Bronfman Institute For Personalized Medicine , Icahn School Of Medicine At Mount Sinai , Genomic Sciences , Cho Laboratory , Department Of Genetics , Helmsley Charitable Trust , Mount Sinai , Biome Biobank , Ashkenazi Jewish , United Kingdom Biobank , Translational Genetics , Charles Bronfman Institute , Personalized Medicine , Icahn School , African American , புதியது யார்க் , ஒன்றுபட்டது மாநிலங்களில் , வடக்கு யார்க்ஷயர் , ஒன்றுபட்டது கிஂக்டம் , சார்லஸ் ப்ரான்ஃப்மேன் நிறுவனம் க்கு தனிப்பயனாக்கப்பட்டது மருந்து ,