Emerging Comorbidities in Adult Asthma: Risks, Clinical Associations, and Mechanisms by Hannu Kankaanranta, Paula Kauppi, Leena E. Tuomisto, Pinja Ilmarinen

“…Asthma is a heterogeneous disease with many phenotypes, and age at disease onset is an important factor in separating the phenotypes. …”
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Novel Copy Number Deletion Involving NUS1 Associated With Epilepsy, Tremor, and Intellectual Disability by Jing Y. Hsu, Daniah H. Ibrahim, Riza Ali, Elaine Marchi, Maureen Gavin, Karen Amble, Gholson J. Lyon

“…This study identifies a de novo 2.62 Mb deletion at 6q22.1_q22.31, implicating the NUS1 gene in epilepsy, spinal abnormalities, and intellectual disability, thereby expanding its known phenotypic associations.…”
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Identification of novel genetic variants associated with feline cardiomyopathy using targeted next-generation sequencing by Jade Raffle, Jose Novo Matos, Marsha Wallace, Lois Wilkie, Richard J. Piercy, Perry Elliott, David J. Connolly, Virginia Luis Fuentes, Androniki Psifidi

“…This study aimed to identify novel genetic variants in cats with hypertrophic cardiomyopathy (HCM) and restrictive cardiomyopathy (RCM) using a targeted panel of genes associated with human cardiomyopathy. Cats were phenotyped for HCM/RCM by echocardiography ± necropsy. …”
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Gene Set Analyses of Genome-Wide Association Studies on 49 Quantitative Traits Measured in a Single Genetic Epidemiology Dataset by Jihye Kim, Ji-sun Kwon, Sangsoo Kim

“…Pairwise comparison of the traits in terms of the semantic similarity in their GO sets revealed surprising cases where phenotypically uncorrelated traits showed high similarity in terms of biological pathways. …”
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The demographic history of the wild crop relative Brachypodium distachyon is shaped by distinct past and present ecological niches by Minadakis, Nikolaos, Williams, Hefin, Horvath, Robert, Caković, Danka, Stritt, Christoph, Thieme, Michael, Bourgeois, Yann, Roulin, Anne C.

“…Altogether, this genomic resource offers a powerful alternative to Arabidopsis thaliana to investigate the genetic bases of adaptation and phenotypic plasticity in plants and more specifically in monocots. …”
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Evolutionary Trajectories of Shoots vs. Roots: Plant Volatile Metabolomes Are Richer but Less Structurally Diverse Belowground in the Tropical Tree Genus <i>Protium</i> by Katherine D. Holmes, Paul V. A. Fine, Italo Mesones, Julieta Alvarez-Manjarrez, Andressa M. Venturini, Kabir G. Peay, Diego Salazar

“…Taken together, our results suggest that root specialized volatile metabolites exhibit significantly less phenotypic divergence than leaf specialized metabolites and may be under relaxed selection pressure from enemies belowground.…”
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Cross-trait multivariate GWAS confirms health implications of pubertal timing by Siquan Zhou, Yujie Xu, Jingyuan Xiong, Guo Cheng

“…However, puberty phenotypes have primarily been assessed separately, failing to account for shared genetics, which limits the reliability of the purported health implications. …”
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Mechanisms and environmental factors shaping the ecosystem of brain macrophages by Silvia Penati, Simone Brioschi, Zhangying Cai, Claudia Z. Han, Claudia Z. Han, Marco Colonna, Marco Colonna

“…Microglia and BAMs are phenotypically and epigenetically distinct and exhibit highly specialized functions tailored to their environmental niches. …”
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A user-friendly software to accurately count and measure cysts from the parasitic nematode Heterodera glycines by Joffrey Mejias, Djampa K. L. Kozlowski, Jackson Goshon, Thomas R. Maier, Thomas J. Baum

“…These methods depend on extensive phenotypic screening. The primary phenotypic measure for assessing SCN resistance is often the number of cysts that form on a plant’s root system. …”
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Diverse Effects of Lead Nitrate on the Proliferation, Differentiation, and Gene Expression of Stem Cells Isolated from a Dental Origin by Mariam Abdullah, Fazliny Abd. Rahman, Nareshwaran Gnanasegaran, Vijayendran Govindasamy, Noor Hayaty Abu Kasim, Sabri Musa

“…There were no significant changes in terms of cell surface phenotypes. Cells exposed to Pb2+ continued to differentiate into chondrogenesis and adipogenesis, and a severe downregulation was observed in osteogenesis. …”
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Plastic responses for intercrop functioning by Franca J. Bongers, Jochem B. Evers, Niels P. R. Anten

“…Abstract Intercropping systems have large heterogeneity in canopy and soil conditions, which could induce phenotypic plasticity. We review different kinds of observed plasticity and to what extent these influence crop performance and outline the diversity of signals that could occur in intercrops. …”
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Individual and sex differences in frontloading behavior and approach- avoidance conflict preference predict addiction-like ethanol seeking in rats by Tanner A. McNamara, Hanyi Weng, Hsin Yu Liao, Rutsuko Ito

“…Our data highlight key sex differences, and the relevance of both frontloading patterns and conflict preference in predicting future addiction-like phenotypes.…”
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Genome-wide association study reveals major loci for resistance to septoria tritici blotch in a Tunisian durum wheat collection. by Maroua Ouaja, Bikash Ghimire, Bochra Amina Bahri, Medini Maher, Sahbi Ferjaoui, Sripada Udupa, Sonia Hamza

“…Using 7638 SNP markers, fifty-one marker-trait associations (MTAs) for STB resistance were identified by genome-wide association study (GWAS) at Bonferroni correction threshold of -log10(P) > 5.184 with phenotypic variance explained (PVE) reaching up to 58%. …”
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Accurate LAI estimation of soybean plants in the field using deep learning and clustering algorithms by Bing Shi, Luqi Guo, Lejun Yu

“…This indicates that the individual segmentation algorithm, Watershed-based approach combined with PointNet++, can serve as a crucial foundation for extracting high-throughput plant phenotypic data. The experimental results confirm that the proposed method can rapidly calculate the morphological parameters of each soybean plant, making it suitable for high-throughput soybean phenotyping.…”
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Uncovering the genetic basis of milk production traits in Mexican Holstein cattle based on individual markers and genomic windows. by José G Cortes-Hernández, Adriana García-Ruiz, Francisco Peñagaricano, Hugo H Montaldo, Felipe J Ruiz-López

“…A total of 162 markers were significantly associated (p<0.01) with the phenotypic traits evaluated, and the SNP markers were distributed across chromosomes 1, 3, 5, 6, 10, 12, 14, 16, 18, 20, 22, and 29. …”
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Evolution under intensive industrial breeding: skull size and shape comparison between historic and modern pig lineages by A. Haruda, A. Evin, F. Steinheimer, R. Schafberg

“…This also suggests that pig morphotypes quickly reflect human agency and impact upon domestic animal phenotypes, revealing a pathway to investigate early human breeding activity in ancient and historical contexts.…”
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New Insights in Genetic Cholestasis: From Molecular Mechanisms to Clinical Implications by Eva Sticova, Milan Jirsa, Joanna Pawłowska

“…Therefore, BRIC and PFIC seem to represent two extremes of a continuous spectrum of phenotypes that comprise one disease. Thus far, five representatives of PFIC (named PFIC1-5) caused by pathogenic mutations present in both alleles of ATP8B1, ABCB11, ABCB4, TJP2, and NR1H4 have been described. …”
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Morphological Characterization and Assessment of Genetic Variability, Character Association, and Divergence in Soybean Mutants by M. A. Malek, Mohd Y. Rafii, Most. Shahida Sharmin Afroz, Ujjal Kumar Nath, M. Monjurul Alam Mondal

“…Narrow differences between phenotypic and genotypic coefficients of variation (PCV and GCV) for most of the characters revealed less environmental influence on their expression. …”
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Assessing the Causal Relationship Between Various Immune Cells and Attention Deficit Hyperactivity Disorder: Mendelian Randomization Study by Qian Ge, Zhongyan Li, Weijing Meng, Chen Cai, Mengdi Qiu, Yafei Liu, Haibo Zhu

“…Immune cell phenotypes that may both increase and worsen the likelihood of having ADHD were identified by IVW results. …”
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Unsupervised machine learning clustering approach for hospitalized COVID-19 pneumonia patients by Nuttinan Nalinthasnai, Ratchainant Thammasudjarit, Tanapat Tassaneyasin, Dararat Eksombatchai, Somnuek Sungkanuparph, Viboon Boonsarngsuk, Yuda Sutherasan, Detajin Junhasavasdikul, Pongdhep Theerawit, Tananchai Petnak

“…Abstract Background Identification of distinct clinical phenotypes of diseases can guide personalized treatment. …”
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