Results 151 to 160 of about 22,469,227 (260)

Editorial: Machine Learning in Genome-Wide Association Studies

Frontiers in Genetics, 2020
Ting Hu, Ting Hu, Christian Darabos, Ryan Urbanowicz   +3 more
doaj   +1 more source

A Guide for Exploring Pleiotropic Associations in Genome-Wide Association Studies Using Summary Statistics. [PDF]

Stat Med
Feng CY, Sugier PE, Zou N, Liquet B.
europepmc   +1 more source

p190A/ARHGAP35 and p190B/ARHGAP5 proteins in endometrial cancer: a novel cancer‐relevant paralog interplay

Molecular Oncology, EarlyView.
This study identifies ARHGAP5, in addition to the frequently mutated ARHGAP35, as significantly mutated in endometrial cancer. Mutations in both genes co‐occur and are associated with their correlated downregulation. Functional CRISPR studies show that both paralogs regulate similar pathways, including actin cytoskeleton organization.
Mathilde Pinault, Capucine Heraud, Mélissa Correia de Oliveira, Véronique Neaud, Valérie Valesco, Valérie Prouzet‐Mauleon, Béatrice Turcq, Jean‐William Dupuy, Anne‐Aurélie Raymond, Sabrina Croce, Frédéric Saltel, Valérie Lagrée, Violaine Moreau   +12 more
wiley   +1 more source

JanusX: an integrated and high-performance platform for scalable genome-wide association studies and genomic selection. [PDF]

Plant J
Fu J, Jia A, Wang H, Liu HJ.
europepmc   +1 more source

Bridging the gap: a genetically validated avian chorioallantoic membrane platform for investigation of spontaneous circulating tumor cells

Molecular Oncology, EarlyView.
We established the avian chorioallantoic membrane (CAM) assay as a scalable in vivo model for studying circulating tumor cells (CTCs). Human gastrointestinal tumors spontaneously released genetically validated CTCs that were detected across multiple platforms, demonstrating that the CAM model provides an accessible tool for investigating early cancer ...
Dennis Roth, Rui P. L. Neves, Julia Geheb, Christian Ballmeyer, Nathalie Gaßmann, Kiki C. Andree, Monica Sudarsanam, Christiane Driemel, Celine Örencik, Andrè Franken, Eslam Elmaghraby, Sven H. Loosen, Roderburg Christoph, Sebastian Schoelch, Hans Neubauer, Wolfram T. Knoefel, Nikolas H. Stoecklein, Georg Fluegen   +17 more
wiley   +1 more source

An expectation and maximization algorithm for multivariate genome-wide association studies (EMmvGWAS). [PDF]

Genetics
Teng CS, Wang X, Liu C, Wang Q, Cui Y, Xu S.   +5 more
europepmc   +1 more source

SPHINX31 acts as a SRPK1 inhibitor targeting the ATR/DNA‐PKcs/CHK1 replicative checkpoint to inhibit cell growth in non‐small cell lung cancer

Molecular Oncology, EarlyView.
The kinase SRPK1 directly interacts with the protein TOPBP1 and regulates the pre‐mRNA splicing of WIZ thereby contributing to the activation of the ATR/CHK1 replicative checkpoint in response to replicative stress. This allows cancer cells' genomic stability and survival.
Amani Shreim, Aurelie Genoux, Nadiia Zubchuk, Haoyang Zheng, Perla Salameh, Theo Ziegelmeyer, Fabien Dalonneau, Margot Rouchette, Christiane Oddou, Simona Miron, Helene Polveche, Adiilah Mamode Cassim, Carmen Garrido, Eleni Nikolakaki, Didier Auboeuf, Tao Jia, Sophie Zinn‐Justin, Beatrice Eymin   +17 more
wiley   +1 more source

Integrated Genome-Wide Association Studies and Selection Signature Analysis Reveal the Genetic Architecture of the Wattle Trait in Goats. [PDF]

Anim Genet
Hu S, Wei C, Feng D, Gan S.
europepmc   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Extending genome-wide association studies to admixed cohorts with high degrees of relatedness. [PDF]

Nat Genet
Tan T, Vergara-Lope A, Martínez-Magaña JJ, Shah NN, Lin YS, Yuan K, Berumen J, Alegre-Díaz J, Kuri-Morales P, Tapia-Conyer R, Gelenter J, Montalvo-Ortiz JL, Zhou W, Torres JM, Atkinson EG.   +14 more
europepmc   +1 more source