Results 201 to 210 of about 22,558 (261)

Programmable nanocarriers for precision plant engineering: converging nanotechnology, CRISPR, and next-generation breeding. [PDF]

Front Plant Sci
Singh AP, Haider S, Sawarkar A, Karki S, Atta K, Al-Zharani M, Barasarathi J, Rebouh NY, Ahmed ZFR.   +8 more
europepmc   +1 more source

Performing Large‐Scale Genetic Analysis in the Bleeding Disorders Community

Haemophilia, EarlyView.
ABSTRACT Inherited bleeding disorders encompass a diverse group of conditions caused by genetic defects affecting coagulation factors, fibrinogen, von Willebrand factor, or platelet function. Despite major advances in quantitative and functional laboratory assays, a substantial diagnostic gap remains, particularly in patients with mild or atypical ...
Anna R. Blankstein, Sterre P. E. Willems, Saskia E. M. Schols, Rosanna Asselta, Gillian Lowe, Neil V. Morgan, Paula D. James   +6 more
wiley   +1 more source

Novel Perspective of Hormesis in Evolution. [PDF]

Biology (Basel)
Vargas-Hernandez M, Munguia-Fragozo PV, Rivero-Montejo SJ, Amaya-Cruz DM, Vera-Morales JM, Ocampo-Velazquez RV, Macias-Bobadilla I, Torres-Pacheco I.   +7 more
europepmc   +1 more source

Genome assembly of Elcysma westwoodi provides insights into host‐plant cyanogenic glucoside detoxification and chemical defence gene evolution

Insect Molecular Biology, EarlyView.
A chromosome‐level genome of Elcysma westwoodi was assembled. The genome encodes 272 detoxification‐related genes. A single‐copy bCAS was retained for cyanide detoxification. CYP405A and CYP332A were recruited into cyanogenic defence evolution. UGT33A retained a conserved GT‐B fold and catalytic domains.
Minyoung Choi, Murtaza Khan, Juil Kim
wiley   +1 more source

The marginal male hypothesis explains only small amounts of spatial variation in density in pinnipeds. [PDF]

Sci Rep
van Benthem KJ, Nagel R, Beckmann LM, Hoffman JI, Wittmann MJ.   +4 more
europepmc   +1 more source

Catch Me If You Can: The Dynamic Nature of Bias in Machine Learning Applications

Information Systems Journal, EarlyView.
ABSTRACT Bias in machine learning (ML) applications represents systematic differences between expected and actual values of the predicted outputs, such that certain individuals or groups are systematically and disproportionately (dis)advantaged. This paper investigates the dynamic nature of bias in ML applications.
Monideepa Tarafdar, Irina Rets, Yang Hu
wiley   +1 more source

Genetic regulation of fatty acid content in adipose tissue. [PDF]

Am J Hum Genet
Yan X, Roberts AL, El-Sayed Moustafa JS, Villicaña S, Al-Hilal M, Tomlinson M, Menni C, Sanders TAB, Freidin MB, Bell JT, Small KS.   +10 more
europepmc   +1 more source

Genetic Parameters and Genome‐Wide Association Studies for Fertility and Reproduction Traits in U.S. Katahdin Sheep Based on the Single‐Step GBLUP Methodology

Journal of Animal Breeding and Genetics, EarlyView.
ABSTRACT Sheep production contributes to a secure and diverse food and fibre supply in the United States, with growing ethnic diversity strengthening demand. Katahdin is a composite hair‐type sheep breed developed in the United States that has become the most popular breed in many regions of the country and the first one to have genomic selection ...
Alejandra Toro Ospina, Ronald M. Lewis, Bradley A. Freking, Joan M. Burke, Thomas W. Murphy, Carrie S. Wilson, Luiz F. Brito   +6 more
wiley   +1 more source

Improving polygenic risk prediction performance by integrating electronic health records through phenotype embedding. [PDF]

Am J Hum Genet
Xu L, Zheng W, Hu J, Lin Y, Zhao J, Wang G, Liu T, Zhao H.   +7 more
europepmc   +1 more source

Estimation of Genetic Variance and Breeding Values for Infectious Disease Susceptibility From Simulated Longitudinal Data Using Generalized Linear Mixed Models Based on Transmission Dynamics

Journal of Animal Breeding and Genetics, EarlyView.
ABSTRACT Recent theoretical work shows that the potential of genetic selection to reduce the prevalence of infectious diseases is much larger than expected from classical quantitative genetic theory, due to indirect genetic effects that arise in the transmission process. However, to fully benefit from these indirect effects, we need to estimate genetic
A. D. Hulst, R. Pong‐Wong, A. Doeschl‐Wilson, M. C. M. De Jong, P. Bijma   +4 more
wiley   +1 more source