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Rosalind M. John

Cardiff University

ORCID: 0000-0002-3827-7617

Publishes on Genetic Syndromes and Imprinting, Epigenetics and DNA Methylation, Prenatal Screening and Diagnostics. 147 papers and 6.7k citations.

147Publications
6.7kTotal Citations

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Top publicationsby citations

D-Optimality for Regression Designs: A Review
Rosalind M. John, N. R. Draper|Technometrics|1975
Cited by 256

After stating the model and the design problem, we briefly present the results for regression design prior to the work of Kiefer and Wolfowitz. We then review the major results of Kiefer and Wolfowitz, particularly those on the theory of design, as well as the way the criterion has been extended to non-linear models. Finally, we discuss algorithms for constructing D-optimum designs.

DNA methylation errors at imprinted loci after assisted conception originate in the parental sperm
Hisato Kobayashi, Hitoshi Hiura, Rosalind M. John et al.|European Journal of Human Genetics|2009
Cited by 212Open Access

There is an increased prevalence of imprinting disorders, such as Beckwith-Wiedemann syndrome, associated with human assisted reproductive technologies (ART). Work on animal models suggests that in vitro culture may be the source of these imprinting errors. However, in this study we report that, in some cases, the errors are inherited from the father. We analyzed DNA methylation at seven autosomal imprinted loci and the XIST locus in 78 paired DNA samples. In seven out of seventeen cases where there was abnormal DNA methylation in the ART sample (41%), the identical alterations were present in the parental sperm. Furthermore, we also identified DNA sequence variations in the gene encoding DNMT3L, which were associated with the abnormal paternal DNA methylation. Both the imprinting errors and the DNA sequence variants were more prevalent in patients with oligospermia. Our data suggest that the increase in the incidence of imprinting disorders in individuals born by ART may be due, in some cases, to the use of sperm with intrinsic imprinting mutations.