Results 91 to 100 of about 98,679 (202)

Cell‐based crop phenotyping for future climates

New Phytologist, EarlyView.
Flow‐chart diagram illustrating the proposed pathway for improving the throughput of fluorescence imaging‐based phenotyping by using robotics and machine learning (ML) approaches. Summary Abiotic stress tolerance has been significantly weakened in modern crops during the domestication process.
Sergey Shabala, Ping Yun, Zhong‐Hua Chen, Meixue Zhou, Min Yu, Nadia Bazihizina   +5 more
wiley   +1 more source

Genome‐wide association study and polygenic risk scores of eosinophilia in Taiwan

Clinical & Translational Immunology
Objectives Eosinophilia, characterised by elevated eosinophil levels, is associated with various allergic and inflammatory conditions. This study aimed to elucidate the genetic determinants of eosinophil levels by examining polygenic risk scores (PRS ...
Hsing‐Fang Lu, Su Boon‐Yong, Chi‐Ya Yang, Jiu‐Yao Wang, Yen‐Ting Chang, Fuu‐Jen Tsai   +5 more
doaj   +1 more source

Acute capillary blood DNA methylation responses to swimming exercise in high‐performance male and female swimmers

Experimental Physiology, EarlyView.
Abstract Epigenetic markers, particularly DNA methylation, are promising tools for monitoring athlete health and training due to their role in cellular regulation, exercise responsiveness and molecular stability. However, exercise‐induced epigenetic changes in peripheral blood in trained individuals remain unexplored.
C. D. Goldsmith, N. G. Lawler, D. B. Pyne, M. Kozlovskaia, K. McGibbon, L. J. G. Mitchell, A. D. Govus   +6 more
wiley   +1 more source

A phenome-wide association study to discover pleiotropic effects of PCSK9, APOB, and LDLR [PDF]

npj Genomic Medicine, 2019
AbstractWe conducted an electronic health record (EHR)-based phenome-wide association study (PheWAS) to discover pleiotropic effects of variants in three lipoprotein metabolism genesPCSK9,APOB, andLDLR. Using high-density genotype data, we tested the associations of variants in the three genes with 1232 EHR-derived binary phecodes in 51,700 European ...
Maya S. Safarova, Benjamin A. Satterfield, Xiao Fan, Erin E. Austin, Zhan Ye, Lisa Bastarache, Neil Zheng, Marylyn D. Ritchie, Kenneth M. Borthwick, Marc S. Williams, Eric B. Larson, Aaron Scrol, Gail P. Jarvik, David R. Crosslin, Kathleen Leppig, Laura J. Rasmussen-Torvik, Sarah A. Pendergrass, Amy C. Sturm, Bahram Namjou, Amy Sanghavi Shah, Robert J. Carroll, Wendy K. Chung, Wei-Qi Wei, QiPing Feng, C. Michael Stein, Dan M. Roden, Teri A. Manolio, Daniel J. Schaid, Joshua C. Denny, Scott J. Hebbring, Mariza de Andrade, Iftikhar J. Kullo   +31 more
openaire   +2 more sources

Phenome-wide profiling identifies genotype-phenotype associations in Phelan-McDermid syndrome using family-sourced data from an international registry

Molecular Autism
Background Phelan-McDermid syndrome (PMS) is a rare neurodevelopmental disorder caused by 22q13 deletions that include the SHANK3 gene or pathogenic sequence variants in SHANK3.
Rui Yin, Maxime Wack, Claire Hassen-Khodja, Michael T. McDuffie, Geraldine Bliss, Elizabeth J. Horn, Cartik Kothari, Brittany McLarney, Rebecca Davis, Kristen Hanson, Megan O’Boyle, Catalina Betancur, Paul Avillach   +12 more
doaj   +1 more source

Root trait dynamics of historical canola varieties under low and high nitrogen supply

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Nitrogen fertilizer is a major input cost in crop production, making it crucial to enhance nitrogen use efficiency (NUE) to reduce fertilizer dependence without compromising yields. Root system architecture (RSA) is a key determinant of nutrient acquisition, particularly under nutrient‐limited conditions.
Shankar Pahari, Raju Soolanayakanahally
wiley   +1 more source

Phenome-wide association of APOE alleles in the All of Us Research ProgramResearch in context

EBioMedicine
Summary: Background: Apolipoprotein E (APOE) variation is associated with altered lipid metabolism, as well as cardiovascular and neurodegenerative disease.
Ehsan Khajouei, Valentina Ghisays, Ignazio S. Piras, Kiana L. Martinez, Anthony T. Vicenti, Marcus Naymik, Preston Ngo, Tam C. Tran, Joshua C. Denny, Travis J. Wheeler, Matthew J. Huentelman, Eric M. Reiman, Jason H. Karnes   +12 more
doaj   +1 more source

Affordable Phenomics special topic—Foreword for The Plant Phenome Journal

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract The Affordable Phenomics special topic in The Plant Phenome Journal showcased recent advances that expand the accessibility, cost‐effectiveness, and scalability of plant phenotyping technologies. This collection of 15 articles presented innovative approaches, ranging from low‐cost sensors and open‐source analytical pipelines to artificial ...
Valerio Hoyos‐Villegas, Michael A. Gore   +1 more
wiley   +1 more source

A genome-wide association study identifies protein quantitative trait loci (pQTLs) [PDF]

, 2008
There is considerable evidence that human genetic variation influences gene expression. Genome-wide studies have revealed that mRNA levels are associated with genetic variation in or close to the gene coding for those mRNA transcripts - cis effects, and ...
Marjo-Riitta Jarvelin, Simon-Sanchez, J, Hana Lango, Henley W, Greg Tranah, HURST A., Singleton, A, Murray, A, WEEDON M., McCarthy, Mark I, Rafferty I, Lango H, David Melzer, Rafferty, Ian, Singleton A, Bandinelli, S, Bennett, A, BRITTON A., Hurst, A, Newman, Anne B, van de Leemput J, Colin Dayan, GIBBS J., Paolisso, G, Lango, H, Dayan, Colin; id_orcid, Hurst A, Anne B Newman, Murray, Anna, FRAYLING T., Tranah, G, Panicker, V, Perry, John R. B., SHOLZ S., Frayling, Timothy M., Ferrucci, Luigi, Scholz, Sonja, Corsi AM, RICE N., Simon-Sanchez J, J Raphael Gibbs, Tranah G, Harris, Tamara, Jarvelin, Marjo-Riitta, Ruokonen A, Jarvelin, Marjo Riitta, Melzer, D, Paolisso G, Javier Simon-Sanchez, AREPALLI S., Amanda Bennett, Timothy M Frayling, Murray A, Scholz, S, Henley, William E., Hernandez D, Fulvio Lauretani, Hurst, Alison, Singleton, Andrew, RAFIQ S., Jarvelin MR, Rafiq S, McCarthy, MI, Perry, JR, Rafiq, S, Arepalli, S, van de Leemput, Joyce, PANICKER V., TRANAH G., Guralnik, J, Stevens K, Dayan, Colin M., Melzer, David, Rongling Li, Giuseppe Paolisso, Gibbs, J. Raphael, STEVENS K., Sajjad Rafiq, Corsi, Anna Maria, Perry JRB, Bennett A, Harris, T, Perry, John R.B., Bandinelli, Stefania, Nicole Washecka, Lauretani, Fulvio, Lango, Hana, Dena Hernandez, Harris T, Scholz S, McCarthy, Mark I., Frayling, Timothy M, William Henley, HARRIS T., Guralnik J, Stevens, K, Panicker, Vijay, Jack Guralnik, Li, R, DAYAN C., McCarthy MI, Rice N, Weedon, Michael N., Sampath Arepalli, Dayan C, Guralnik, Jack, Lauretani, F, John R B Perry, Melzer D, Dayan, C, Newman, Anne B., Lauretani F, RAFFERTY I., Britton A, Newman AB, Sonja Scholz, Angela Britton, HERNANDEZ D., Frayling TM, Corsi, Anna-Maria, Britton, A, Washecka, Nicole, Andrew Singleton, Ferrucci, L, Tamara Harris, LANGO H., Gibbs, JR, BENNET A., Perry, JRB, Dayan, Colin Mark, Michael N Weedon, Weedon, Michael N, Luigi Ferrucci, Bennett, Amanda, Neil Rice, Rice, N, Anna-Maria Corsi, BANDINELLI S., Washecka, N, Henley, William, Ruokonen, Aimo, Henley, W, Gibbs JR, SIMON SANCHEZ J., Kara Stevens, Arepalli, Sampath, Stevens, Kara, Joyce van de Leemput, MELZER D., Weedon MN, Frayling, TM, Panicker V, SINGLETON A., Weedon, MN, Dayan, Colin, Jarvelin, MR, Anna Murray, Arepalli S, Ferrucci L, FERRUCCI L., Rice, Neil, Li, Rongling, Tranah, Greg, Washecka N, HENLEY W., MCCARTHY M., Perry, John RB, Ruokonen, A, JARVELIN M., Li RL, VAN DE LEEMPUT J., Rafiq, Sajjad, PERRY J., Hernandez, Dena, WASHECKA N., Mark I McCarthy, Vijay Panicker, Ian Rafferty, MURRAY A., LI R., Newman, AB, Bandinelli S, NEWMAN A., Gibbs, J Raphael, Paolisso, Giuseppe, GURALNIK J., Hernandez, D, CORSI A., Van De Leemput, J, Simon-Sanchez, Javier, Stefania Bandinelli, Alison Hurst, RUOKONEN A., Corsi, AM, Britton, Angela, Rafferty, I, Aimo Ruokonen   +196 more
core   +1 more source

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