A type 1 diabetes genetic risk score can discriminate monogenic autoimmunity with diabetes from early-onset clustering of polygenic autoimmunity with diabetes [PDF]
Matthew B. Johnson+7 more
openalex +1 more source
Weak phenotypic and genetic associations between resistance to dicamba and 2,4‐D suggest that different nontarget‐site mechanisms contribute to these traits in an Amaranthus tuberculatus population from Illinois. Abstract BACKGROUND Amaranthus tuberculatus (Moq.) Sauer (waterhemp) has emerged as one of several weed species that is resistant to ...
Isabel Schlegel Werle+5 more
wiley +1 more source
Big data and machine learning to tackle diabetes management
Abstract Background Type 2 Diabetes (T2D) diagnosis is based solely on glycaemia, even though it is an endpoint of numerous dysmetabolic pathways. Type 2 Diabetes complexity is challenging in a real‐world scenario; thus, dissecting T2D heterogeneity is a priority. Cluster analysis, which identifies natural clusters within multidimensional data based on
Ana F. Pina+5 more
wiley +1 more source
Breast cancer risk prediction using a clinical risk model and polygenic risk score
Yiwey Shieh+10 more
openalex +2 more sources
The Sociogenomics of Polygenic Scores of Reproductive Behavior and Their Relationship to Other Fertility Traits [PDF]
Melinda Mills+2 more
openalex +1 more source
Polygenic risk for MS associates with changes in the peripheral B‐cell compartment of children in the general population. A MS‐PRS was significantly associated with lower relative, but not absolute, naive B‐cell numbers and higher frequencies and absolute numbers of CD27+ memory B cells.
Casper L. de Mol+8 more
wiley +1 more source
Assessing the genetic correlations between early growth parameters and bone mineral density: A polygenic risk score analysis [PDF]
Xiao Liang+17 more
openalex +1 more source
Polygenic score analysis identifies distinct genetic risk profiles in Alzheimer's disease comorbidities. [PDF]
Hernández CF+6 more
europepmc +1 more source
mtPGS: Leverage multiple correlated traits for accurate polygenic score construction. [PDF]
Xu C, Ganesh SK, Zhou X.
europepmc +1 more source
A systems medicine strategy to predict the efficacy of drugs for monogenic epilepsies
Abstract Objective Monogenic epilepsies are rare but often severe. Because of their rarity, they are neglected by traditional drug developers. Hence, many lack effective treatments. Treatments for a disease can be discovered more quickly and economically by computationally predicting drugs that can be repurposed for it.
Basel Taweel+2 more
wiley +1 more source