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Paper Details

Improved genetic risk scoring algorithm for type 1 diabetes prediction.
Pediatr Diabetes
8
2022
GRS, GRS2, Participants, T1D, beta-islet cell, children, genetic variants, type 1 diabetes
Author NameAffiliation
Joseph T GlessnerThe Center for Applied Genomics, Children's Hospital of Philadelphia
Joseph T GlessnerChildren's Hospital of Philadelphia
Joseph T GlessnerThe Perelman School of Medicine, University of Pennsylvania
Frank D MentchThe Center for Applied Genomics, Children's Hospital of Philadelphia
Frank D MentchThe Center for Applied Genomics, Children's Hospital of Philadelphia
Michael E MarchThe Center for Applied Genomics, Children's Hospital of Philadelphia
Jin LiTianjin Medical University
John J ConnollyThe Center for Applied Genomics, Children's Hospital of Philadelphia
Patrick M A SleimanThe Center for Applied Genomics, Children's Hospital of Philadelphia
Patrick M A SleimanChildren's Hospital of Philadelphia
Patrick M A SleimanThe Perelman School of Medicine, University of Pennsylvania
Patrick M A SleimanThe Center for Applied Genomics, Children's Hospital of Philadelphia
Patrick M A SleimanThe Perelman School of Medicine, University of Pennsylvania
Patrick M A SleimanChildren's Hospital of Philadelphia
Hakon HakonarsonThe Center for Applied Genomics, Children's Hospital of Philadelphia
Hakon HakonarsonThe Perelman School of Medicine, University of Pennsylvania
Hakon HakonarsonChildren's Hospital of Philadelphia
Hakon HakonarsonChildren's Hospital of Philadelphia
Hakon HakonarsonThe Center for Applied Genomics, Children's Hospital of Philadelphia
Hakon HakonarsonThe Perelman School of Medicine, University of Pennsylvania
Hakon HakonarsonChildren's Hospital of Philadelphia
Hakon HakonarsonChildren's Hospital of Philadelphia
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