Results 101 to 110 of about 22,489,720 (176)

Philosophy of phenomic prediction and its incompatibility with causal inference

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Breeding programs need to make decisions frequently to improve populations and develop varieties efficiently. These needs led to the development of genomic prediction in the early 2000s and phenomic prediction in the mid‐2010s. In practice, phenomic prediction techniques rely on the same statistical tools and computational frameworks as other ...
Mitchell J. Feldmann, Fangyi Wang, Daniel E. Runcie   +2 more
wiley   +1 more source

A data‐driven image extraction and analysis pipeline for plant phenotyping in controlled environments

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Advances in automation, imaging, and artificial intelligence have enabled large‐scale plant phenotyping, but image analysis remains a critical bottleneck for crop improvement and biological discovery. We developed an integrated multispectral phenotyping framework using imagery from the Texas A&M AgriLife Automated Precision Phenotyping ...
Fahimeh Orvati Nia, Joshua Peeples, Seth C. Murray, Andrew McFarland, Troy Vann, Shima Salehi, Robert Hardin, David D. Baltensperger, Amir M. H. Ibrahim, J. Alex Thomasson, Henry Fadamiro, Nithya K. Subramanian, Suresh D. Pillai, Rebecca Roston, Joslin Ishimwe, Diptadeep Basak, Nazar Oladepo, Uday Vysyaraju   +17 more
wiley   +1 more source

Phenome-Wide Association Studies. [PDF]

JAMA, 2022
Bastarache L, Denny JC, Roden DM.
europepmc   +1 more source

PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies

, 2017
Genome-wide, imputed, sequence, and structural data are now available for exceedingly large sample sizes. The needs for data management, handling population structure and related samples, and performing associations have largely been met.
Peggy L. Peissig, Marylyn D. Ritchie, Scott M. Dudek, Anurag Verma, Shefali S. Verma, Sarah A. Pendergrass, John Wallace, Anastasia Lucas, Terrie E. Kitchner, Cathy A. McCarty, Murray H. Brilliant, Molly A. Hall, Dokyoon Kim, Anna O. Basile, Jason H. Moore   +14 more
core   +1 more source

Genomic characterization of plant height and lodging in spring oat (Avena sativa L.) using time‐series aerial sensor data

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Plant height is one of the key economic traits in spring oat (Avena sativa L.) and a major determinant of lodging, and consequently, yield potential. Understanding the genetic basis of the variation in plant height can significantly benefit plant improvement efforts.
Afrina Rahman, Anup Kumar Das, Jayanta Roy, Amandeep, Michael S. McMullen, Paulo Flores, Craig H. Carlson   +6 more
wiley   +1 more source

Harvest Time Influences Inulin and Phenolic Accumulation of Globe Artichoke (Cynara cardunculus L.)

Food Science &Nutrition, Volume 14, Issue 11, November 2026.
Globe artichoke heart fructans were positively correlated with solar radiation exposure while phenolics were negatively correlated. Browning was positively correlated with phenolics, especially dicaffeoylquinic acid isomer. Artichoke hearts with high phenolic contents had higher CIE b* values (yellowness).
Andrew Tilley, Mark P. McHenry, Julia Anwar McHenry, Yimin Wang, Soudabeh Shemesavar, Malgorzata Kowalczyk, Ruey Leng Loo, Kirsty L. Bayliss, Vicky A. Solah   +8 more
wiley   +1 more source

High Endothelial Venules in Small Cell Lung Cancer: Prognostic Subtypes and Therapeutic Implications for Immunoradiotherapy

International Journal of Cancer, Volume 159, Issue 9, Page 2314-2327, 1 November 2026.
ABSTRACT Small cell lung cancer (SCLC) is a highly aggressive neuroendocrine malignancy with an immunosuppressive tumor microenvironment, and current immunotherapy provides limited benefit. This highlights the need to identify microenvironmental features enabling effective immune responses.
Jiatian Fang, Zilian Wang, Hui Wang, Jianxin Xue, Kai Kang   +4 more
wiley   +1 more source

PhenomeXcan: Mapping the genome to the phenome through the transcriptome [PDF]

Large-scale genomic and transcriptomic initiatives offer unprecedented insight into complex traits, but clinical translation remains limited by variant-level associations without biological context and lack of analytic resources.
Liang, Yanyu, Bastarache, Lisa, Park, YoSon, Barbeira, Alvaro, Melia, Owen, GTEx Consortium, Wen, Xiaoquan, Rajagopal, Padma S., Pividori, Milton, Im, Hae K.   +9 more
core   +1 more source

Shotgun Metagenomic Analysis Reveals Taxonomic and Functional Transitions in the Salivary Microbiome During Periodontal Disease Progression

Journal of Clinical Periodontology, Volume 53, Issue 11, Page 1650-1662, November 2026.
ABSTRACT Aim To characterise multi‐kingdom salivary microbiome profiles across clinically defined periodontal states and identify stage‐specific taxonomic and functional alterations using shotgun metagenomic sequencing. Materials and Methods In this cross‐sectional study, 204 adults (mean age 40.3 ± 7.6 years) from the SECRETO study (NCT01934725 ...
Muhammed Manzoor, Jaakko Leskelä, Eija Könönen, Leo Lahti, Jukka Putaala, Pirkko J. Pussinen, Susanna Paju   +6 more
wiley   +1 more source

Finding genome-transcriptome-phenome association with structured association mapping and visualization in GenAMap.

, 2011
Despite the success of genome-wide association studies in detecting novel disease variants, we are still far from a complete understanding of the mechanisms through which variants cause disease.
Junming Yin (5363774), Ross E. Curtis (574088), Eric P Xing (27712), Peter Kinnaird (5363987)   +3 more
core   +1 more source