Results 61 to 70 of about 98,968 (210)

Genome-Wide Association Study (GWAS) and genome prediction of seedling salt tolerance in bread wheat (Triticum aestivum L.). [PDF]

BMC Plant Biol, 2022
Javid S, Bihamta MR, Omidi M, Abbasi AR, Alipour H, Ingvarsson PK.   +5 more
europepmc   +1 more source

Gastroesophageal reflux disease and risk of atrial fibrillation/flutter: Implications for heart failure progression

ESC Heart Failure, EarlyView.
Abstract Aims While observational studies suggest an association between gastroesophageal reflux disease (GERD) and atrial fibrillation/flutter (AF/AFL), the causal relationship and mechanisms remain undefined. This study employed Mendelian randomization (MR) to assess bidirectional causal relationships and explore potential implications for heart ...
Wansong Hu, Yingxing Wu, Wanqian Yu, Ping Li   +3 more
wiley   +1 more source

Genome-wide association study (GWAS) with high-throughput SNP chip DNA markers identified novel genetic factors for mesocotyl elongation and seedling emergence in rice (Oryza sativa L.) using multiple GAPIT models. [PDF]

Front Genet, 2023
Kabange NR, Alibu S, Kwon Y, Lee SM, Oh KW, Lee JH.   +5 more
europepmc   +1 more source

Integrated trajectories of systolic and diastolic function differentially associate with risk for heart failure with preserved and reduced ejection fraction and proteomic profiles

European Journal of Heart Failure, EarlyView.
Graphical overview of derivation and testing of multiparametric trajectories of cardiac function. This study identified six trajectories of LV systolic and diastolic function from mid‐ to late‐life. Predicted trajectory from single echocardiogram identified four trajectories at differential risk for HFpEF and HFrEF.
Anne Marie Reimer Jensen, James C. Ross, Victoria Arthur, Michael E. Hall, Kunihiro Matsushita, Brandon Lennep, Pamela L. Lutsey, Tor Biering‐Sørensen, Amil M. Shah   +8 more
wiley   +1 more source

Genome-Wide Association Study (GWAS) of dental caries in diverse populations. [PDF]

BMC Oral Health, 2021
Alotaibi RN, Howe BJ, Chernus JM, Mukhopadhyay N, Sanchez C, Deleyiannis FWB, Neiswanger K, Padilla C, Poletta FA, Orioli IM, Buxó CJ, Hecht JT, Wehby GL, Long RE, Vieira AR, Weinberg SM, Shaffer JR, Moreno Uribe LM, Marazita ML.   +18 more
europepmc   +1 more source

Deep phenotyping of heart failure with preserved ejection fraction through multi‐omics integration

European Journal of Heart Failure, EarlyView.
Deep phenotyping of of heart failure with preserved ejection fraction (HFpEF) through multi‐omics integration. AI, artificial intelligence. Aims Heart failure with preserved ejection fraction (HFpEF) has become the predominant form of heart failure and a leading cause of global cardiovascular morbidity and mortality.
Jakob Versnjak, Titus Kuehne, Pauline Fahjen, Nina Jovanovic, Ulrike Löber, Gabriele G. Schiattarella, Nicola Wilck, Holger Gerhardt, Dominik N. Müller, Frank Edelmann, Philipp Mertins, Roland Eils, Michael Gotthardt, Sofia K. Forslund, Benjamin Wild, Marcus Kelm   +15 more
wiley   +1 more source

Predicting allergic diseases in children using genome-wide association study (GWAS) data and family history. [PDF]

World Allergy Organ J, 2021
Park J, Jang H, Kim M, Hong JY, Kim YH, Sohn MH, Park SC, Won S, Kim KW.   +8 more
europepmc   +1 more source

Unsupervised machine learning for cardiovascular disease: A framework for future studies

European Journal of Heart Failure, EarlyView.
Unsupervised machine learning can improve the characterization and stratification of patients with cardiovascular diseases (CVDs). Clustering algorithms, which group patients based on patterns in clinical data, can reveal distinct subgroups that may differ in prognosis and treatment response.
Emmanuel Bresso, Claire Lacomblez, Kévin Duarte, Luca Monzo, Guillaume Baudry, Jasper Tromp, Abhinav Sharma, Nicolas Girerd   +7 more
wiley   +1 more source

Severity of effect considerations regarding the use of mutation as a toxicological endpoint for risk assessment: A report from the 8th International Workshop on Genotoxicity Testing (IWGT)

Environmental and Molecular Mutagenesis, EarlyView.
Abstract Exposure levels without appreciable human health risk may be determined by dividing a point of departure on a dose–response curve (e.g., benchmark dose) by a composite adjustment factor (AF). An “effect severity” AF (ESAF) is employed in some regulatory contexts.
Barbara L. Parsons, Marc A. Beal, Kerry L. Dearfield, George R. Douglas, Min Gi, B. Bhaskar Gollapudi, Robert H. Heflich, Katsuyoshi Horibata, Michelle Kenyon, Alexandra S. Long, David P. Lovell, Anthony M. Lynch, Meagan B. Myers, Stefan Pfuhler, Alisa Vespa, Andreas Zeller, George E. Johnson, Paul A. White   +17 more
wiley   +1 more source

A genome-wide association study (GWAS) for pH value in the meat of Berkshire pigs. [PDF]

J Anim Sci Technol, 2021
Park J, Lee SM, Park JY, Na CS.
europepmc   +1 more source