Predicting Risks of Dry Eye Disease Development Using a Genome ...

The purpose of this study was to conduct a large-scale genome-wide association study (GWAS) and construct a polygenic risk score (PRS) for risk stratification ...

Dry eye is a common symptom of several conditions, including SS which is characterized by both dry eye and dry mouth. Therefore, we investigated ...

(PDF) Predicting Risks of Dry Eye Disease Development Using a ...

Purpose The purpose of this study was to conduct a large-scale genome-wide association study (GWAS) and construct a polygenic risk score (PRS) for risk ...

Erratum in: Predicting Risks of Dry Eye Disease Development Using ...

Erratum in: “Predicting Risks of Dry Eye Disease Development Using a Genome-Wide Polygenic Risk Score Model” by Chih-Chien Hsu, Hao-Kai Chuang, Yu-Jer Hsiao ...

Predicting Risks of Dry Eye Disease Development Using a Genome ...

Predicting Risks of Dry Eye Disease Development Using a Genome-Wide Polygenic Risk Score Model. Chih Chien Hsu, Hao Kai Chuang, Yu Jer Hsiao, Pin Hsuan ...

Genetic factors and molecular mechanisms in dry eye disease

Improving understanding of the pathogenesis and underlying molecular mechanisms of DED can assist in early detection and new treatment development, both of ...

Multi-ancestry genome-wide association study of dry eye disease in ...

Purpose : Dry eye disease (DED) is a common condition characterized by pain and dryness of the ocular surface. Twin studies have estimated a substantial ...

Predicting Risks of Dry Eye Disease Development Using a Genome ...

Predicting Risks of Dry Eye Disease Development Using a Genome-Wide Polygenic Risk Score Model. / Hsu, Chih Chien; Chuang, Hao Kai; Hsiao, Yu Jer 等. 於: ...

Predicting Risks of Dry Eye Disease Development Using a Genome ...

Predicting Risks of Dry Eye Disease Development Using a Genome-Wide Polygenic Risk Score Model · List of references · Publications that cite this ...

Epidemiology and Risk Factors of Dry Eye Disease - MDPI

More recently, a GWAS, using data from the Taiwan Biobank, identified 11 potential independent risk loci for dry eye disease [60]. None of the top single ...

First Specific Genetic Locus Detected for Dry Eye

When the algorithm was used in this particular biobank, it detected 48,794 cases of DED and 29,224 controls. From there, the researchers ...

Decoding and reconstructing disease relations between dry eye and ...

Our meta-analysis showed that DED patients are associated with an increased DEP prevalence (OR = 1.83), while DEP patients have a concurrent higher risk of DED ...

GWAS Catalog - EMBL-EBI

Genome-wide genotyping array. Discovery sample description ... Predicting Risks of Dry Eye Disease Development Using a Genome-Wide Polygenic Risk Score Model.

Genome-Wide Meta-analysis Identifies Risk Loci and Improves ...

The genetic correlation between AMD and POAG was 0.105 ± 0.0418 (P = 0.0121), and none of the causal SNPs were shared for the loci implicated in ...

Classifying Dry Eye Disease Patients from Healthy Controls Using ...

To address this challenge, we conducted a comparative analysis of nine machine learning models on three metabolomics data sets from cataract ...

A machine learning approach to predicting dry eye-related signs ...

Morphological characteristics were then combined with clinical and symptom data in prediction models of MG function, tear film stability, ocular ...

The shared mechanism and potential diagnostic markers for ...

Dry eye disease (DED), also known as keratoconjunctivitis sicca (KCS), dry eye syndrome (DES), ocular surface disease (OSD), or dysfunctional ...

A Set of Global Metabolomic Biomarker Candidates to Predict the ...

Conclusion: Dry eye syndrome induces changes in the metabolic profile of tears, and the trend differs with age. This evidence reveals the relationship between ...

[PDF] TMEM132D and VIPR2 Polymorphisms as Genetic Risk Loci ...

Predicting Risks of Dry Eye Disease Development Using a Genome-Wide Polygenic Risk Score Model · Chih-Chien HsuHao-Kai Chuang +8 authors. Shih-Hwa Chiou.

Explanatory Model of Dry Eye Disease Using Health and Nutrition ...

Conclusions: Integrative understanding of DED was possible using the machine learning–based model and network-based factor analysis. This method ...