Phenotypic Characters and Inheritance Tendency of Agronomic Traits in F1 Progeny of Pear by Xiaojie Zhang, Mengyue Tang, Jiamei Li, Yue Chi, Kexin Wang, Jianying Peng, Yuxing Zhang

“…The aim of this research is to reveal the trait performance of the hybrid progeny of Chinese white pear and Western pear and provide a theoretical basis for other breeders to predict the trait performance of their hybrid progeny when selecting Eastern pear and Western pear as parents. …”
Get full text

Diagnostic testing for chronic spontaneous urticaria with or without angioedema: The do's, don't and maybe's by Jonathan A. Bernstein, MD, Ignacio Ansotegui, MD, PhD, Riccardo Asero, MD, Aleena Banerji, MD, Stephen Betschel, HBSc, MD, Timothy Craig, DO, José Luis García-Abujeta, MD, René Maximiliano Gómez, MD, PhD, Anete S. Grumach, MD, PhD, Michihiro Hide, MD, PhD, David M. Lang, MD, Michael Levin, MD, PhD, Hilary J. Longhurst, PhD, Marcus Maurer, MD, Mario Morais-Almeida, MD, Dinh Nguyen Van, MD, PhD, Helena Pité, MD, PhD, Marc A. Riedl, MD, María Isabel Rojo Gutiérrez, MD, Sarbjit S. Saini, MD, Gordon Sussman, MD, Elias Toubi, MD, Andrea Zanichelli, MD, Bruce Zuraw, MD, Torsten Zuberbier, MD, PhD

“…With the advent of omalizumab, there has been a surge of interest in identifying biomarkers that could predict response to this treatment. In the process of investigating biomarkers as prognosticators, several CSU phenotypes and endotypes have emerged, which have made it evident that novel therapies targeting non-IgE mechanistic pathways are needed to control symptoms in patients unresponsive to the currently recommended therapies by the most recent international guidelines. …”
Get full text

Clinical Characteristics and Genetic Variants in Children with <i>PAX2</i> Mutation-Associated Disorders by Yanyan Jin, Na Li, Zipei Chen, Ke Zeng, Jingjing Wang, Aiqin Sheng, Haidong Fu, Lidan Hu, Jianhua Mao

“…Despite recurrent mutations, marked phenotypic heterogeneity persists, underscoring the need for further research.…”
Get full text

POTENTIAL ROLE OF SERUM PERIOSTIN IN THE EARLY DETECTION OF BRONCHIAL ASTHMA IN CHILDREN by Nickolai V. Sobotyuk, Valentina P. Gaponenko, Sergei V. Bochantsev, Svetlana A. Golochalova, Irina V. Sazonova, Tatiana N. Кharlamova

Get full text

The Influence of CYP2B6, GSTP1, and SLCO1B1 Star Allele‐Predicted Phenotypes and CBR1 Genetic Variants on Effectiveness Outcomes in Patients With Hepatocellular Carcinoma Receiving Doxorubicin via Transarterial Chemoembolization by Sireen Abdul Rahim Shilbayeh, Omnia A. Abd El‐Baset, Mohammad A. Alshabeeb, Abdalrhman Hamdan Alanizi, Naglaa F. Khedr, Rehab H. Werida

“…ABSTRACT We investigated the influence of CYP2B6, GSTP1, and SLCO1B1 star allele‐predicted phenotypes and CBR1 variants on clinical outcomes in patients with HCC receiving DOX via TACE. …”
Get full text

An automated in-field transport and imaging chamber system for high-throughput phenotyping of potted soybean by Xiuni Li, Menggen Chen, Shuyuan He, Mei Xu, Yao Zhao, Weiguo Liu

“…However, canopy shading from taller crops severely restricts the acquisition of phenotypic information from the lower-growing soybeans, and conventional phenotyping platforms struggle to meet the demands of such complex planting structures. …”
Get full text

Genomewide phenotypic analysis of growth, cell morphogenesis, and cell cycle events in Escherichia coli by Manuel Campos, Sander K Govers, Irnov Irnov, Genevieve S Dobihal, François Cornet, Christine Jacobs‐Wagner

“…Functional analyses, together with high‐dimensional classification, unveil new associations of morphological and cell cycle phenotypes with specific functions and pathways. Additionally, correlation analysis across ~4,000 genetic perturbations shows that growth rate is surprisingly not predictive of cell size. …”
Get full text

A Genomic and Phenotypic Investigation of Feed Efficiency and Growth Traits in Targhee and Rambouillet Sheep by Daniel Schaub, Christian J. Posbergh

“…However, PWWT EBV was predictive of mid-test body weight in both periods (<i>p</i> < 0.05). …”
Get full text

Association between phenotypic age and in-hospital outcomes in patients with acute myocardial infarction: A retrospective observational study by Yajie Gao, Ke Gao, Ruijuan Shi, Xiaorui Huang, Peizhu Dang, Hui Liu, Xiaopu Zheng, Yanbo Xue

“…Background: Phenotypic age (PhenoAge) has emerged as a superior predictor of age-related morbidity and mortality. …”
Get full text

Mid-infrared milk screening as a phenotyping tool for feed efficiency in dairy cattle by Ludmila Zavadilová, Eva Kašná, Zuzana Krupová, Alena Pechová, Petr Fleischer, Soňa Šlosárková

“…Recently, Fourier transform mid-infrared (FT-MIR) spectroscopy has been proposed as a tool to enhance the accuracy of DMI prediction. This paper reviews the application of FT-MIR milk spectroscopy for deriving FE phenotype in dairy cattle. …”
Get full text

Identifying kinematic biomarkers of the dystrophic phenotype in a zebrafish model of Duchenne muscular dystrophy by Jeffrey J. Widrick, Matthias R. Lambert, Felipe de Souza Leite, Youngsook Lucy Jung, Junseok Park, James R. Conner, Eunjung Alice Lee, Alan H. Beggs, Louis M. Kunkel

“…Random forest and support vector machine prediction models identified overall ER distance and peak speed, the instantaneous speed conferred by the power stroke, and the average speed and distance covered during burst swimming as the most predictive biomarkers for differentiating dystrophic from wild-type larvae. …”
Get full text

Cancer-specific senescence signature promotes malignant phenotypes and immunotherapy resistance in colorectal cancer by Wei Wang, Wei Wang, Fengyu Ling, Fengyu Ling, Dong Huang, Guomin Luo, Guomin Luo, Bixia Duan, Bixia Duan

“…Notably, CSS-high status predicted immunotherapy resistance.ConclusionCollectively, CSS drives tumor aggressiveness and independently predicts unfavorable survival outcomes and immunotherapy resistance in CRC. …”
Get full text

Characterizing the ADPKD-IFT140 Phenotypic Signature With Deep Learning and Advanced Imaging Biomarkers by Ahmad Ghanem, Fadi George Munairdjy Debeh, Abdul Hamid Borghol, Nikola Zagorec, Amanda L. Tapia, Byron Smith, Stefan Paul, Abdul Basit, Bassel AlKhatib, Nay Nader, Marie Therese Bou Antoun, Adriana V. Gregory, Hana Yang, Rachel S. Schauer, Neera K. Dahl, Christian Hanna, Vicente E. Torres, Timothy L. Kline, Peter C. Harris, Emilie Cornec-Le Gall, Fouad T. Chebib

“…This study aimed to characterize the clinical presentation, progression, and distinctive imaging phenotype of ADPKD-IFT140. Methods: This retrospective cohort study included patients with disease-causing variants in IFT140, nontruncating PKD1 (PKD1NT), or PKD2. …”
Get full text

Rapid inference of antibiotic susceptibility phenotype of uropathogens using metagenomic sequencing with neighbor typing by Amanda C. Carroll, Leanne Mortimer, Hiren Ghosh, Sandra Reuter, Hajo Grundmann, Karel Brinda, William P. Hanage, Angel Li, Aimee Paterson, Andrew Purssell, Ashley Rooney, Noelle R. Yee, Bryan Coburn, Shola Able-Thomas, Martin Antonio, Allison McGeer, Derek R. MacFadden

“…We used neighbor typing to predict MLST and susceptibility phenotype of E. coli (64/80) and Klebsiella spp. (16/80) from urine samples. …”
Get full text

Comorbidities and anthropometric parameters in obstructive sleep apnea syndrome: a phenotype-based study by Mihrican Yeşildağ, Faysal Duksal

“…In logistic regression analysis, neck circumference (NC) and body mass index (BMI) were the anthropometric measures that predicted OSAS phenotypes. NC and BMI predicted severe OSAS, NC predicted PDO and R+PDO, and BMI predicted RDO.Conclusion This study revealed that OSAS phenotypes exhibit different clinical and anthropometric characteristics and differ in comorbidity risks. …”
Get full text

An Unsupervised Approach to Derive Right Ventricular Pressure–Volume Loop Phenotypes in Pulmonary Hypertension by Nikita Sivakumar, Cindy Zhang, Connie Chang‐Chien, Pan Gu, Yikun Li, Yi Yang, Darin Rosen, Tijana Tuhy, Ilton M. Cubero Salazar, Matthew Kauffman, Rachel L. Damico, Casey Overby Taylor, Joseph L. Greenstein, Steven Hsu, Paul M. Hassoun, Catherine E. Simpson

“…The most informative variable for PV loop phenotype prediction was exercise mean pulmonary arterial pressure (mPAP). …”
Get full text

Association of Genetic, Environmental, and Nutritional Factors With Metabolic Phenotypes of Obesity: A Scoping Review by Haniyeh Danesh Doost, Milad Nasiri Jounaghani, Roya Riahi, Motahar Heidari-Beni, Mohsen Hosseini, Fariborz Sharifianjazi, Roya Kelishadi

“…Conclusion: Environmental and nutritional factors can increase metabolic abnormalities. Metabolic phenotype categories are useful for predicting disease risk and for developing personalized diets and environmental interventions. …”
Get full text

Integrating pharmacogenomics and cheminformatics with diverse disease phenotypes for cell type-guided drug discovery by Arda Halu, Sarvesh Chelvanambi, Julius L. Decano, Joan T. Matamalas, Mary Whelan, Takaharu Asano, Namitra Kalicharran, Sasha A. Singh, Joseph Loscalzo, Masanori Aikawa

“…We validate the drugs predicted in our proofs-of-concept using real-time polymerase chain reaction (qPCR) experiments. …”
Get full text

Biomarker discovery by sparse canonical correlation analysis of complex clinical phenotypes of tuberculosis and malaria. by Juho Rousu, Daniel D Agranoff, Olugbemiro Sodeinde, John Shawe-Taylor, Delmiro Fernandez-Reyes

“…We propose an approach based on asymmetrical sparse canonical correlation analysis (SCCA) that finds multivariate correlations between the 'omics measurements and the complex clinical phenotypes. We correlated plasma proteomics data to multivariate overlapping complex clinical phenotypes from tuberculosis and malaria datasets. …”
Get full text

Block selection in multiblock partial least squares for modeling genotype-phenotype relations in Saccharomyces. by Muhammad Tahir, Bu Yude, Tahir Mehmood, Saima Bashir, Zeeshan Ashraf

“…Both proposed variants consistently outperform conventional approaches such as partial least squares and multi-block partial least squares in predicting phenotypes. These results highlight the potential of our methods for advancing data-based modeling and genotype-phenotype mapping.…”
Get full text