Genomic structural equation modeling elucidates the shared genetic architecture of allergic disorders DOI Creative Commons

J Ibáñez Ruán,

Xinglin Yi

Journal of Translational Medicine, Год журнала: 2025, Номер 23(1)

Опубликована: Апрель 15, 2025

The intricate shared genetic architecture underlying allergic disorders-including asthma, atopic dermatitis, contact rhinitis, conjunctivitis, urticaria, anaphylaxis, and eosinophilic esophagitis-remains incompletely characterized. Our study employed genomic structural equation modeling (Genomic SEM) to define the common factor representing of disorders. Coupled with diverse post-GWAS analytical methods, we aimed discover susceptible loci investigate associations external traits. Furthermore, explored enriched pathways, cellular layers, elements, investigated putative plasma protein biomarkers. Polygenic risk score (PRS) analyses, leveraging our integrated GWAS data, were conducted assess chromosomal-level for A well-fitted SEM revealing We identified a total 2038 genome-wide significant SNP (p < 5e-8), including 31 previously unreported loci. Fine-mapping variants gene sets pinpointed 2 causal candidate genes. Genetic correlation analyses further illuminated multiple traits, notably psychiatric Preliminary findings four Notably, this presents first comprehensive characterization disorders through analysis an unmeasured composite phenotype, providing novel insights into etiological pathways across these conditions.

Язык: Английский

An optimal workflow scheduling in IoT-fog-cloud system for minimizing time and energy DOI Creative Commons

Roqia Rateb,

Ahmed Adnan Hadi,

Venkata Mohit Tamanampudi

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 29, 2025

Today, with the increasing use of Internet Things (IoT) in world, various workflows that need to be stored and processed on computing platforms. But this issue, causes an increase costs for resources providers, as a result, system Energy Consumption (EC) is also reduced. Therefore, paper examines workflow scheduling problem IoT devices fog-cloud environment, where reducing EC MakeSpan Time (MST) main objectives, under constraints priority, deadline reliability. order achieve these combination Aquila Salp Swarm Algorithms (ASSA) used select best Virtual Machines (VMs) execution workflows. So, each iteration ASSA execution, number VMs are selected by ASSA. Then using Reducing (RMST) technique, MST reduced, while maintaining reliability deadline. Then, VM merging Dynamic Voltage Frequency Scaling (DVFS) technique output from RMST, static dynamic respectively. Experimental results show effectiveness proposed method compared previous methods.

Язык: Английский

Процитировано

3
Adaptive Gbest-Guided Atom Search Optimization for Designing Stable Digital IIR Filters DOI
Laith Abualigah, Davut İzci, Mostafa Jabari

и другие.

Circuits Systems and Signal Processing, Год журнала: 2025, Номер unknown

Опубликована: Янв. 25, 2025

Язык: Английский

Процитировано

2
Portfolio optimization with MOPSO-Shrinkage hybrid model DOI Creative Commons
Minh Tran, Nguyen Minh Nhat

Results in Control and Optimization, Год журнала: 2025, Номер unknown, С. 100553 - 100553

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Genomic Structural Equation Modeling Elucidates the Shared Genetic Architecture of Allergic Disorders DOI Creative Commons

J Ibáñez Ruán,

Xinglin Yi

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Abstract Background The intricate shared genetic architecture underlying allergic disorders—including asthma, atopic dermatitis, contact rhinitis, conjunctivitis, urticaria, anaphylaxis, and eosinophilic esophagitis—remains incompletely characterized. Methods Our study employed genomic structural equation modeling (Genomic SEM) to define the common factor representing of disorders. Coupled with diverse post-GWAS analytical methods, we aimed discover susceptible loci investigate associations external traits. Furthermore, explored enriched pathways, cellular layers, elements, investigated putative plasma protein biomarkers. Polygenic risk score (PRS) analyses, leveraging our integrated GWAS data, were conducted assess chromosomal-level for Results A well-fitted SEM revealing We identified a total 2038 genome-wide significant SNP (p < 5e-8), including 31 previously unreported loci. Fine-mapping variants gene sets pinpointed 2 causal candidate genes. Genetic correlation analyses further illuminated multiple traits, notably psychiatric Preliminary findings four Conclusion Notably, this presents first comprehensive characterization disorders through analysis an unmeasured composite phenotype, providing novel insights into etiological pathways across these conditions.

Язык: Английский

Процитировано

0
Boosting Feature Selection Efficiency with IMVO: Integrating MVO and Mutation-Based Local Search Algorithms DOI Creative Commons

Maryam Askari,

Farid Khoshalhan, H. Hamidi

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104866 - 104866

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Genomic structural equation modeling elucidates the shared genetic architecture of allergic disorders DOI Creative Commons

J Ibáñez Ruán,

Xinglin Yi

Journal of Translational Medicine, Год журнала: 2025, Номер 23(1)

Опубликована: Апрель 15, 2025

The intricate shared genetic architecture underlying allergic disorders-including asthma, atopic dermatitis, contact rhinitis, conjunctivitis, urticaria, anaphylaxis, and eosinophilic esophagitis-remains incompletely characterized. Our study employed genomic structural equation modeling (Genomic SEM) to define the common factor representing of disorders. Coupled with diverse post-GWAS analytical methods, we aimed discover susceptible loci investigate associations external traits. Furthermore, explored enriched pathways, cellular layers, elements, investigated putative plasma protein biomarkers. Polygenic risk score (PRS) analyses, leveraging our integrated GWAS data, were conducted assess chromosomal-level for A well-fitted SEM revealing We identified a total 2038 genome-wide significant SNP (p < 5e-8), including 31 previously unreported loci. Fine-mapping variants gene sets pinpointed 2 causal candidate genes. Genetic correlation analyses further illuminated multiple traits, notably psychiatric Preliminary findings four Notably, this presents first comprehensive characterization disorders through analysis an unmeasured composite phenotype, providing novel insights into etiological pathways across these conditions.

Язык: Английский

Процитировано

0