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Identifying genetic variants that influence response to LEV may allow more tailored use of LEV.
Genome-wide association studies are routinely conducted to identify genetic variants that influence complex disorders.
In addition, genome-wide profiling has identified inherited genetic variants that influence ALL risk.
Relatively little is known about genetic variants that influence melatonin levels and the relationship of those variants to sleep disorders and other circadian pathologies.
Nutrigenomics studies have identified genetic variants that influence intake and metabolism of specific nutrients and predict individuals' variability in response to dietary interventions.
Identification of genetic variants that influence bipolar I disorder (BPD-I) through genome-wide association (GWA) studies is limited in Asian populations.
We performed association analyses using Metabochip array to identify genetic variants that influence variation in CIMT and plaque, measured using B-mode ultrasonography, in rheumatoid arthritis (RA) patients.
Senior author Joel Gelernter, the Foundations Fund Professor of Psychiatry and professor of genetics and of neuroscience, and lead author Daniel Levey, a postdoctoral researcher at Yale, wanted to find genetic variants that influence the risk of serious suicide attempts.
For complex traits and diseases, assessing the risk due to genetic factors is challenging because it requires knowledge of both the identity of variants that influence the trait and their corresponding allelic effects.
Genome-wide association studies with metabolic traits (mGWAS) uncovered many genetic variants that influence human metabolism.
I use computational and mathematical modeling to identify potential interactions between variants that influence the expression and severity of the disease.
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