Caitlin Williams

University of Warwick — United Kingdom

Medicine · Health Sciences

16h-index14.5kcitations34works0.02yr avg
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Research Topics

Cardiomyopathy and Myosin Studies(11), Muscle Physiology and Disorders(10), Genomics and Phylogenetic Studies(9), Machine Learning in Bioinformatics(9), RNA and protein synthesis mechanisms(7)

Publications34 total

Metformin rescues muscle function in BAG3 myofibrillar myopathy models
Figshare·2022Open Access
Metformin rescues muscle function in BAG3 myofibrillar myopathy models
Figshare·2021Open Access
Functional validation of CHMP7 as an ADHD risk gene
Translational Psychiatry·2020· 19 citedOpen Access
Metformin rescues muscle function in BAG3 myofibrillar myopathy models
Autophagy·2020· 41 citedOpen Access
Extracellular Vesicle and Particle Biomarkers Define Multiple Human Cancers
Cell·2020· 1.2k citedOpen Access
Metformin rescues muscle function in BAG3 myofibrillar myopathy models
Figshare·2020Open Access
P.77Repurposing of metformin identified as a potential therapy in models of BAG3 myofibrillar myopathy
Neuromuscular Disorders·2019
A transgenic zebrafish model of hepatocyte function in human Z α1-antitrypsin deficiency
Biological Chemistry·2019· 3 citedOpen Access
Metformin rescues muscle function in BAG3 myofibrillar myopathy models
2019· 4 citedOpen Access
Testing of therapies in a novel nebulin nemaline myopathy model demonstrate a lack of efficacy
Acta Neuropathologica Communications·2018· 24 citedOpen Access
Genetic compensation triggered by actin mutation prevents the muscle damage caused by loss of actin protein
PLoS Genetics·2018· 64 citedOpen Access
Identification of therapies for myofibrillar myopathy
Neuromuscular Disorders·2017
Genome-wide identification of conserved intronic non-coding sequences using a Bayesian segmentation approach
BMC Genomics·2017· 5 citedOpen Access
Additional file 2: Table S2. of Genome-wide identification of conserved intronic non-coding sequences using a Bayesian segmentation approach
Figshare·2017Open Access
Additional file 3: Table S3. of Genome-wide identification of conserved intronic non-coding sequences using a Bayesian segmentation approach
Figshare·2017Open Access
Additional file 1: Table S1. of Genome-wide identification of conserved intronic non-coding sequences using a Bayesian segmentation approach
Figshare·2017Open Access
Additional file 10: Table S8. of Genome-wide identification of conserved intronic non-coding sequences using a Bayesian segmentation approach
Figshare·2017Open Access
Additional file 7: Table S7. of Genome-wide identification of conserved intronic non-coding sequences using a Bayesian segmentation approach
Figshare·2017Open Access
Additional file 11: Table S9. of Genome-wide identification of conserved intronic non-coding sequences using a Bayesian segmentation approach
Figshare·2017Open Access
Additional file 4: Table S4. of Genome-wide identification of conserved intronic non-coding sequences using a Bayesian segmentation approach
Figshare·2017Open Access
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Frequent Co-authors

Robert J. Bryson‐Richardson(25), Adam Parslow(12), Georg Ramm(11), Avnika A. Ruparelia(10), Viola Oorschot(10), Manjula Algama(10), Edward Tasker(10), Jonathan M. Keith(10), Emily A. McKaige(9), Tanya Stojkovic(7), Keith E. Schulze(7), Emily C. Baxter(7), Irina Matei(6), Héctor Peinado(6), Jacqueline Bromberg(6), David Lyden(6), Tamar E. Sztal(6), Emmanuelle Lacène(6), Yvan Torrente(6), Bruno Costa‐Silva(5)