A
Antonio J. Berlanga
Researcher at Wellcome Trust Centre for Human Genetics
Publications - 3
Citations - 919
Antonio J. Berlanga is an academic researcher from Wellcome Trust Centre for Human Genetics. The author has contributed to research in topics: Single-nucleotide polymorphism & Gene. The author has an hindex of 3, co-authored 3 publications receiving 849 citations. Previous affiliations of Antonio J. Berlanga include University of Oxford.
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Journal ArticleDOI
A ChIP-seq defined genome-wide map of vitamin D receptor binding: associations with disease and evolution.
Sreeram V. Ramagopalan,Andreas Heger,Antonio J. Berlanga,Narelle J. Maugeri,Matthew R. Lincoln,Amy M Burrell,Lahiru Handunnetthi,Adam E. Handel,Giulio Disanto,S M Orton,Corey T. Watson,Julia M. Morahan,Gavin Giovannoni,Chris P. Ponting,George C. Ebers,Julian C. Knight +15 more
TL;DR: ChIP-seq determination of transcription factor binding, in combination with GWA data, provides a powerful approach to further understanding the molecular bases of complex diseases.
Journal ArticleDOI
Heterogeneity in multiple sclerosis: scratching the surface of a complex disease.
Giulio Disanto,Antonio J. Berlanga,Adam E. Handel,Andrea E. Para,Amy M Burrell,Anastasia Fries,Lahiru Handunnetthi,G C De Luca,J M Morahan +8 more
TL;DR: It is hypothesized that spatiotemporal effects of genetic and environmental agents differentially influence MS course and these “MS subtypes” should still be considered as part of the same disease but hypothesize that different pathways may be active in different MS patients.
Journal ArticleDOI
The Effect of Single Nucleotide Polymorphisms from Genome Wide Association Studies in Multiple Sclerosis on Gene Expression
Adam E. Handel,Lahiru Handunnetthi,Lahiru Handunnetthi,Antonio J. Berlanga,Antonio J. Berlanga,Corey T. Watson,Julia M. Morahan,Julia M. Morahan,Sreeram V. Ramagopalan,Sreeram V. Ramagopalan,Sreeram V. Ramagopalan +10 more
TL;DR: It is shown that many susceptibility loci in MS are associated with changes in gene expression using an unbiased expression database and several of these findings suggest novel gene candidates underlying the effects of MS-associated genetic variation.