Individual differences in developmental trajectory leave a male polyphenic signature in bulb mite populations by Deere, Jacques A., Smallegange, Isabel M.

“…Here, we tested, in a long-term population experiment using the male polyphenic bulb mite (Rhizoglyphus robini), if the selective harvesting of juveniles of different developmental stages concurrently alters population size (ecological response) and male adult phenotype expression (evolutionary response) in line with eco-evolutionary predictions that assume the male polyphenism is anticipatory or mitigating. …”
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Clinical Predictive Factors of Response to Biologics in IBD by Roxana SADAGURSCHI, A. DOBROMIRESCU, Ruxandra BABIUC, Lucian NEGREANU

“…Regarding ustekinumab, no predicting factor has been reported yet to be helpful in clinical practice. …”
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Probabilistic genotype-phenotype maps reveal mutational robustness of RNA folding, spin glasses, and quantum circuits by Anna Sappington, Vaibhav Mohanty

“…Recent studies of genotype-phenotype maps have reported universally enhanced phenotypic robustness to genotype mutations, a feature essential to evolution. …”
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Integrating taxonomic and phenotypic information through FISH-enhanced flow cytometry for microbial community dynamics analysis by Valérie Mattelin, Josefien Van Landuyt, Frederiek-Maarten Kerkhof, Yorick Minnebo, Nico Boon

“…However, as isogenic individuals can manifest phenotypic diversity, for example, due to differing physiological state and phenotypic plasticity, combining the phenotypic information with taxonomic information adds an extra dimension for describing the dynamics of a microbial community. …”
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Characterization of Streptococcus mitis subsp. carlssonii isolated from human vagina: prevalence, phenotypic, and genomic insights by Jake Adolf V. Montecillo, Jake Adolf V. Montecillo, Jake Adolf V. Montecillo, Jung Hwa Lee, Jung Hwa Lee, Heon Jong Yoo, Yoo-Young Lee, Chul Min Park, Angela Cho, Hyunsu Lee, Jong Mi Kim, Jong Mi Kim, Nan Young Lee, Sun-Hyun Park, Nora Jee-Young Park, Nora Jee-Young Park, Hyung Soo Han, Hyung Soo Han, Hyung Soo Han, Gun Oh Chong, Gun Oh Chong, Incheol Seo, Incheol Seo, Incheol Seo

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Low leucocyte, neutrophil and lymphocyte count (tri-low phenotype) in melioidosis: A predictor of early mortality by Nitin Gupta, Praveen Kumar Tirlangi, Prithvishree Ravindra, Rachana Bhat, Mukund Gupta, Carl Boodman, Adil Rashid, Chiranjay Mukhopadhyay

“…When all three parameters were found to be low (tri-low phenotype), the specificity in predicting mortality was 93.2 %. …”
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SCN1A gain of function effects in Dravet syndrome: Insights into clinical phenotypes and therapeutic implications by Yoko Kobayashi Takahashi, Kenshiro Tabata, Shimpei Baba, Eri Takeshita, Noriko Sumitomo, Yuko Shimizu‐Motohashi, Takashi Saito, Eiji Nakagawa, Atsushi Ishii, Shinichi Hirose, Mitsuhiro Kato, Naomichi Matsumoto, Hirofumi Komaki, Ken Inoue

“…We retrospectively analyzed 37 individuals with SCN1A pathogenic variants at our institute between January 2012 and October 2024 to investigate phenotype–function correlations. Variant functions were classified as LOF, GOF, or mixed, based on existing patch‐clamp data, paralog sodium channel experimental findings, and in silico prediction tools. …”
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Plot-scale peanut yield estimation using a phenotyping robot and transformer-based image analysis by Zhengkun Li, Rui Xu, Nino Brown, Barry L. Tillman, Changying Li

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Differences in gut microbial diversity and composition between growth phenotypes of farmed juvenile sandfish, Holothuria scabra by Joselito A. Tabardillo, Marie Antonette Juinio-Meñez, Adam M. Reitzel, Rachel Ravago-Gotanco

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Individual-level brain phenotypes in first-episode mania: normative modelling of brain morphometry and brainAGE by Kevin Yu, Ruiyang Ge, Yuetong Yu, Shalaila Haas, Nicole Sanford, Lakshmi N. Yatham, Sophia Frangou, Trisha Chakrabarty

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Revisiting Abnormalities of Ventricular Depolarization: Redefining Phenotypes and Associated Outcomes Using Tree‐Based Dimensionality Reduction by Mehak Gurnani, Konstantinos Patlatzoglou, Joseph Barker, Derek Bivona, Libor Pastika, Ewa Sieliwonczyk, Boroumand Zeidaabadi, Paolo Inglese, Lara Curran, Ahran D. Arnold, Declan O'Regan, Zachary Whinnett, Kenneth C. Bilchick, Nicholas S. Peters, Daniel B. Kramer, Jonathan W. Waks, Arunashis Sau, Fu Siong Ng

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Proteome‐Wide and Immune Cell Phenotype Mendelian Randomization Highlights Immune Involvement in Genetic Generalized Epilepsy by Jianxiong Gui, Hongyuan Chu, Junjiao Zhang, Xiao Li, Wenwei Liu, Renqiuguo Li, Fan Zhang, Meiyu Dong, Kai Gao, Huaxia Luo, Yuwu Jiang

“…Mendelian randomization (MR) analysis identified associations between plasma proteins, immune cell phenotypes, and GGE. Colocalization analysis assessed whether plasma proteins and GGE share a common causal variant. …”
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Corrected speciation and gyromitrin content of false morels linked to ALS patients with mostly slow-acetylator phenotypes by Emmeline Lagrange, Marie-Anne Loriot, Nirmal K. Chaudhary, Pam Schultz, Alden C. Dirks, Claire Guissart, Timothy Y. James, Jean Paul Vernoux, William Camu, Ashootosh Tripathi, Peter S. Spencer

“…Most ALS patients had a slow- or intermediate-acetylator phenotype predicted by N-acetyltransferase-2 (NAT2) genotyping, which would increase the risk for neurotoxic and genotoxic effects of gyromitrin metabolites.…”
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Consensus-phenotype integration of transcriptomic and metabolomic data implies a role for metabolism in the chemosensitivity of tumour cells. by Rachel Cavill, Atanas Kamburov, James K Ellis, Toby J Athersuch, Marcus S C Blagrove, Ralf Herwig, Timothy M D Ebbels, Hector C Keun

“…We conclude that metabolic phenotyping could play a role in predicting response to platinum chemotherapy and that consensus-phenotype integration of molecular profiling data is a powerful and versatile tool for both biomarker discovery and for exploring the complex relationships between biological pathways and drug response.…”
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Phenotypic Variation in a Four-Generation Family with Aniridia Carrying a Novel PAX6 Mutation by Grace M. Wang, Lev Prasov, Hayder Al-Hasani, Colin E. R. Marrs, Sahil Tolia, Laurel Wiinikka-Buesser, Julia E. Richards, Brenda L. Bohnsack

“…This mutation results in an early stop codon in exon 8, which is predicted to cause nonsense-mediated decay of the truncated mRNA and a functionally null PAX6 allele. …”
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Development of a High-Speed Time-Synchronized Crop Phenotyping System Based on Precision Time Protoco by Runze Song, Haoyu Liu, Yueyang Hu, Man Zhang, Wenyi Sheng

“…This system can provide hardware support for multi-parameter acquisition and data registration in the fast mobile crop phenotype platform, laying a reliable data foundation for crop growth monitoring, intelligent yield analysis, and prediction.…”
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Genetic differences between the determinants of lipid profile phenotypes in African and European Americans: the Jackson Heart Study. by Rahul C Deo, David Reich, Arti Tandon, Ermeg Akylbekova, Nick Patterson, Alicja Waliszewska, Sekar Kathiresan, Daniel Sarpong, Herman A Taylor, James G Wilson

“…To address this problem for cardiovascular phenotypes, we studied a cohort of 4,464 African Americans from the Jackson Heart Study (JHS), in whom we genotyped both a panel of 12 recently discovered genetic variants known to predict lipid profile levels in Europeans and a panel of up to 1,447 ancestry informative markers allowing us to determine the African ancestry proportion of each individual at each position in the genome. …”
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Clinical phenotypes and outcomes of pulmonary hypertension due to left heart disease: Role of the pre-capillary component. by Sergio Caravita, Andrea Faini, Sandy Carolino D'Araujo, Céline Dewachter, Laura Chomette, Antoine Bondue, Robert Naeije, Gianfranco Parati, Jean-Luc Vachiéry

“…Patients presenting the CpcPH phenotype appear to have haemodynamic profile closer to PAH but with worse prognosis. …”
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Comorbidity Between Hikikomori and Autistic Traits May Be Identified as a Phenotypical Presentation Characterized by Greater Severity by Liliana Dell’Osso, Benedetta Nardi, Dario Muti, Chiara De Felice, Valeria Tognini, Francesca Parri, Federico Giovannoni, Filippo Del Grande, Chiara Bonelli, Gabriele Massimetti, Stefano Pini, Andrea Fiorillo, Barbara Carpita

“…HQ-25 Socialization and Isolation domains predicted higher AdAS Spectrum scores in hikikomori subjects, while various AdAS Spectrum domains served as predictors of HQ-25 scores in AT subjects. …”
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Cluster Individuals Based on Phenotype and Determine the Risk for Atrial Fibrillation in the PREVEND and Framingham Heart Study Populations. by Michiel Rienstra, Bastiaan Geelhoed, Xiaoyan Yin, Joylene E Siland, Rob A Vermond, Bart A Mulder, Pim Van Der Harst, Hans L Hillege, Emelia J Benjamin, Isabelle C Van Gelder

“…<h4>Background</h4>Risk prediction of atrial fibrillation (AF) is of importance to improve the early diagnosis and treatment of AF. …”
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