Results 291 to 300 of about 67,612 (348)
Summary The oleoresin defense system of loblolly pine (Pinus taeda) protects trees from insects and pathogens and is an important source of renewable biofuels and chemicals, but the genetic basis of oleoresin production is poorly understood. We characterized the genetic architecture of oleoresin flow, resin canal number, stem wood terpene content, and ...
Mallory M. Morgan +13 more
wiley +1 more source
A commentary on "Genetic insights into lipid traits and atherosclerosis risk: a mendelian randomization and polygenic risk score analysis". [PDF]
Zhou YF, Wu ZM, Xiong MF.
europepmc +1 more source
Silene, a versatile model system: from sex and genome evolution to ecology and speciation
Summary Fundamental and applied research in evolutionary biology benefits from the use of model systems in which approaches from disparate disciplines can be integrated. Here, we review recent progress in evolutionary research on the long‐standing model system Silene, a large genus with a well‐resolved phylogeny and newly available, expanded genomic ...
Sophie Karrenberg +16 more
wiley +1 more source
ABSTRACT This systematic review and meta‐analysis of randomized controlled trials (RCTs) was conducted to assess the effect of nutraceuticals containing Citrus bergamia on the management of obesity in adults by assessing measures related to obesity. We searched the following databases until October 2024: PubMed, Web of Science, Scopus, and the Cochrane
Carmelo Pujia +8 more
wiley +1 more source
ABSTRACT Excess adiposity is not a recently developed problem but has existed since at least the upper Paleolithic, allowing evolutionary selection pressures to adapt the physiology of the pregnant woman and the feto‐placental unit for maternal and fetal protection.
Gernot Desoye +6 more
wiley +1 more source
Polygenic risk score of Alzheimer's disease is associated with cognitive trajectories and phenotypes of cerebral organoids. [PDF]
Chun MY +19 more
europepmc +1 more source
ABSTRACT Genomic selection (GS) is critical for accelerating genetic gain in modern plant breeding. Deep learning approaches offer powerful non‐linear representation capabilities for modelling non‐additive effects. However, their application in GS remains restricted, as high‐dimensional, low‐sample and noisy data hinder the identification of ...
Yuexin Ma +7 more
wiley +1 more source
Polygenic risk score in cirrhosis: Does the etiology matter? [PDF]
Alonso-Peña M +4 more
europepmc +1 more source

