Contrast Pattern Mining With the T1D Exchange Clinic Registry Reveals Complex Phenotypic Factors and Comorbidity Patterns Associated With Familial Versus Sporadic Type 1 Diabetes.

Creator(s)

Erin M. Tallon
Maria J. Redondo
Chi-Ren Shyu
Danlu Liu
Katrina Boles
Mark A. Clements, Children's Mercy HospitalFollow

Document Type

Letter to the Editor

Publication Date

3-1-2022

Identifier

DOI: 10.2337/dc21-2239; PMCID: PMC8918263

Journal Title

Diabetes care

Volume

45

Issue

3

First Page

56

Last Page

59

MeSH Keywords

Comorbidity; Diabetes Mellitus, Type 1; Humans; Registries

Keywords

Comorbidity; Diabetes Mellitus, Type 1; Humans; Registries

Comments

Grant support

• T32 LM012410/LM/NLM NIH HHS/United States

This is an open access article distributed under the terms of the Creative Commons CC BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Publisher's Link: https://diabetesjournals.org/care/article/45/3/e56/140928/Contrast-Pattern-Mining-With-the-T1D-Exchange

Recommended Citation

Tallon EM, Redondo MJ, Shyu CR, Liu D, Boles K, Clements MA. Contrast Pattern Mining With the T1D Exchange Clinic Registry Reveals Complex Phenotypic Factors and Comorbidity Patterns Associated With Familial Versus Sporadic Type 1 Diabetes. Diabetes Care. 2022;45(3):e56-e59. doi:10.2337/dc21-2239