Results 71 to 80 of about 3,993 (208)

Harnessing Large‐Scale Multi‐Omics Data for Risk Prediction and Deep Phenotyping of Valvular Heart Diseases in the General Population

Advanced Science, EarlyView.
Large‐scale UK Biobank analyses identify clinical and proteomic signatures for early prediction of valvular heart disease and its subtypes. Proteins add predictive value for VHD, AVS, and MVR, with outcome‐specific compact panels showing translational potential. Multi‐layer evidence highlights matrix remodeling, protease regulation, immune inflammation,
Zhihao Jiang, Yang Liu, Mingyu Song, Ning Chen, Canqing Yu, Jun Lv, Eric Yuk Fai Wan, Lu Qi, Liming Li, Dianjianyi Sun, Bang Zheng   +10 more
wiley   +1 more source

A Bayesian perspective on geographic influences in coach decision-making for athlete identification and selection. [PDF]

Sci Rep
Johnston K, Wang Y, Trace J, Baker J, Richard V, Roberts A.   +5 more
europepmc   +1 more source

ORBIT‐AMD: Ordinal Risk, Bilateral Imaging, and Trajectory Learning for Age‐Related Macular Degeneration in Multi‐Cohorts

Advanced Science, EarlyView.
Eligibility flow and real‐world AMD burden in the UKB retinal imaging cohort and TMUEH external‐validation cohort. Overview of the ORBIT‐AMD architecture, integrating retinal representation pretraining, bilateral eye‐graph modeling and concept bottleneck learning to support ordered risk, bilateral context, interpretable lesion concepts, longitudinal ...
Xuehao Cui, Dejia Wen, Patrick Yu‐Wai‐Man, Xiaorong Li   +3 more
wiley   +1 more source

Correction to: 2025 position statement on active outdoor play. [PDF]

Int J Behav Nutr Phys Act
Lee EY, de Lannoy L, Kim YB, Rathod A, James ME, Lopes O, Nasrallah B, Thankarajah A, Adjei-Boadi D, de Barros MIA, Duncan S, Miller RM, Mygind L, Vanderloo LM, Wang PY, Tremblay MS, AOP10 Steering Committee Group.   +16 more
europepmc   +1 more source

Multi‐tissue Metabolic GWAS and Drought‐Responsive Multi‐omics Reveal the Genetic Basis of the Quinoa Metabolome

Advanced Science, EarlyView.
A multi‐omics framework combining multitissue genome‐wide association studies, metabolomics, transcriptomics, proteomics, and functional validation uncovers the genetic basis of specialized metabolism in quinoa. The study identifies hundreds of metabolite‐associated loci, prioritizes candidate genes for saponin, betalain, and flavonoid biosynthesis ...
Julia von Steimker, Elodie L. Rey, Clara Stanschewski, Regina Wendenburg, Annabella Klemmer, Markéta Macho, Venkatesh P. Thirumalaikumar, Noha O. Saber, Aleksandra Skirycz, Alisdair R. Fernie, Mark Tester, Saleh Alseekh   +11 more
wiley   +1 more source

Exploring the development of coach-parent relationships in organized competitive youth team sports. [PDF]

PLoS One
Azimi S, Sutcliffe J, Tamminen K.
europepmc   +1 more source

Single‐cell Transcriptome Profiling Reveals Gene Regulatory Networks and Key Genes in the Root Epidermis and Cortical Cells Associated with Early Nodulation in Glycine Max

Advanced Science, EarlyView.
Single‐cell transcriptomics of soybean roots soon after rhizobial inoculation reveals epidermal and cortical cell‐specific programs and gene‐regulatory networks acting in symbiosis establishment. We identify an ethylene‐driven regulatory circuit involving WRKY6.3/6.4 transcription factors targeting select Nod19 genes that promotes infection‐thread ...
Yongbin Zhuang, Yu Geng, Xinyu Guo, Chen Wang, Yongjing Sun, Luqi Liu, Li Liu, QianQian Gao, XinFang Zhu, Hongxiang Cao, Gengshuo Zhang, Yunxia Liu, Guobin Zhang, Baoyin Chen, Jinfei Zhang, Xin Hou, Xiaoming Li, Dajian Zhang   +17 more
wiley   +1 more source

Anxiety and Performance in High-Achieving Adolescents: Associations Among 8 General and Specific Anxiety Measures and 13 School Grades. [PDF]

Psych J
Likhanov M, Alenina E, Bloniewski T, Zhou X, Kovas Y.   +4 more
europepmc   +1 more source

A Pan‐Methylome Framework for Population‐Scale Bacterial Epigenomics

Advanced Science, EarlyView.
A scalable quantitative framework unlocks population‐level comparative epigenomics in bacteria. By transforming site‐level data into standardized traits, this approach reconstructs methylation‐informed phylogenies and defines the core epigenome.
Bin Ma, Huimin Gong, Ran Zhuo, Zaixiao Rao, Yanxi Wan, Mingyang Wang, Zahra Zeinalzadeh, Yuan Gao, Aohan Guan, Xinrun Li, Wanting Chen, Xiliang Wang, Yun Wan, Sihua Zhang, Yuncai Xiao, Qi Huang, Paul R. Langford, Xiangru Wang, Rui Zhou, Rui Luo, Hongbo Zhou, Chengliang Zhu, Hui Jin   +22 more
wiley   +1 more source

Beyond biology: Social and geographic determinants of hypertension in rural Alabama communities. [PDF]

PLOS Glob Public Health
Newman SD, Pompey DN, Knol L, Burton W, Johnson P, Scott L, Brunson A, Kang IG, Hudnall M.   +8 more
europepmc   +1 more source