Last Posted: May 04, 2021
- Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification.
Haque Fahmida et al. Diagnostics (Basel, Switzerland) 2021 11(5)
- Novel susceptibility loci identified in a genome-wide association study of type 2 diabetes complications in population of Latvia.
Ustinova Monta, et al. BMC medical genomics 2021 1 (1) 18
- Impact of Endothelial NOS VNTR Variant on Susceptibility to Diabetic Neuropathy and Type 2 Diabetes Mellitus.
Yigit Serbulent, et al. Current neurovascular research 2020 12
- The association of Interieukin-6 polymorphism (rs1800795) with microvascular complications in type 2 diabetes mellitus.
Cui Jieyuan et al. Bioscience reports 2020 Oct
- Association of Pro198Leu polymorphism in glutathione peroxidase one (GPX1) gene with peripheral neuropathy in type 2 diabetic patients.
Mushtaq Shabana, et al. JPMA. The Journal of the Pakistan Medical Association 2020 7 (7) 1182-1186
- Expert consensus recommendations to improve diagnosis of ATTR amyloidosis with polyneuropathy.
Adams David et al. Journal of neurology 2020 Jan
- An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study.
Williams Bryan M et al. Diabetologia 2019 Nov
- Genetics of diabetic neuropathy: Systematic review, meta-analysis and trial sequential analysis.
Zhao Yating, et al. Annals of clinical and translational neurology 2019 9
- Association between a novel G94A single nucleotide polymorphism in ATP1A1 gene and type 2 diabetes mellitus among Egyptian patients.
Abosheasha Mohammed A, et al. Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences 2019 0 62
- Association of the Vascular Endothelial Growth Factor Gene Polymorphism +936 C/T with Diabetic Neuropathy in Patients with Type 2 Diabetes Mellitus.
Arredondo-García Veronica Kimberly, et al. Archives of medical research 2019 9 (4) 181-186
Diabetes PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to diabetes...more
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Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.