Dunham, Ian

Initial sequencing and analysis of the human genome

International Human Genome Sequencing Consortium, Whitehead Institute for Biomedical Research, C. F. G. R., Lander, E. S., Linton, L. M., Birren, B., Nusbaum, C., Zody, M. C., Baldwin, J., Devon, K., Dewar, K., et al. (2001) · Nature

Genomics and Phylogenetic StudiesGenetic Associations and Epidemiology

Cited by 24,216

A global reference for human genetic variation

The 1000 Genomes Project Consortium, authors, C., Auton, A., Abecasis, G. R., Steering committee, Altshuler, D. M., Durbin, R. M., Abecasis, G. R., Bentley, D. R., Chakravarti, A., et al. (2015) · Nature

Genetic Associations and EpidemiologyForensic and Genetic Research

Cited by 18,247

Applications of machine learning in drug discovery and development

Vamathevan, J., Clark, D., Czodrowski, P., Dunham, I., Ferran, E., Lee, G., Li, B., Madabhushi, A., Shah, P., Spitzer, M., et al. (2019) · Nature Reviews Drug Discovery

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 3,228

The human cell atlas

Regev, A., Teichmann, S. A., Lander, E. S., Amit, I., Benoist, C., Birney, E., Bodenmiller, B., Campbell, P., Carninci, P., Clatworthy, M., et al. (2017) · eLife

Single-cell and spatial transcriptomicsGene Regulatory Network Analysis

Cited by 2,232

The COSMIC Cancer Gene Census: describing genetic dysfunction across all human cancers

Sondka, Z., Bamford, S., Cole, C. G., Ward, S. A., Dunham, I., & Forbes, S. A. (2018) · Nature Reviews Cancer

Cancer Genomics and DiagnosticsGenomics and Rare Diseases

Cited by 1,597

The UK10K project identifies rare variants in health and disease

The UK10K Consortium, Writing group, Walter, K., Min, J. L., Huang, J., Crooks, L., Memari, Y., McCarthy, S., Perry, J. R. B., Xu, C., et al. (2015) · Nature

Genetic Associations and EpidemiologyGenomics and Rare Diseases

Cited by 1,040

An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated loci

Mountjoy, E., Schmidt, E. M., Carmona, M., Schwartzentruber, J., Peat, G., Miranda, A., Fumis, L., Hayhurst, J., Buniello, A., Karim, M. A., et al. (2021) · Nature Genetics

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 581

The next-generation Open Targets Platform: reimagined, redesigned, rebuilt

Ochoa, D., Hercules, A., Carmona, M., Suveges, D., Baker, J., Malangone, C., Lopez, I., Miranda, A., Cruz-Castillo, C., Fumis, L., et al. (2023) · Nucleic Acids Research

Computational Drug Discovery MethodsBiomedical Text Mining and Ontologies

Cited by 432

Genome-wide meta-analysis identifies new susceptibility loci for migraine

North American Brain Expression Consortium, Anttila, V., UK Brain Expression Consortium, the International Headache Genetics Consortium, Winsvold, B. S., Gormley, P., Kurth, T., Bettella, F., McMahon, G., Kallela, M., et al. (2013) · Nature Genetics

Migraine and Headache StudiesGenetic Associations and Epidemiology

Cited by 410

The PROTACtable genome

Schneider, M., Radoux, C. J., Hercules, A., Ochoa, D., Dunham, I., Zalmas, L.-P., Hessler, G., Ruf, S., Shanmugasundaram, V., Hann, M. M., et al. (2021) · Nature Reviews Drug Discovery

Protein Degradation and InhibitorsComputational Drug Discovery Methods

Cited by 273

Molecular characterization of the HLA-linked steroid 21-hydroxylase B gene from an individual with congenital adrenal hyperplasia

Rodrigues, N. R., Dunham, I., Yu, C. Y., Carroll, M. C., Porter, R. R., & Campbell, R. D. (1987) · The EMBO Journal

Sexual Differentiation and DisordersAdrenal Hormones and Disorders

Cited by 182

CACHE (Critical Assessment of Computational Hit-finding Experiments): A public–private partnership benchmarking initiative to enable the development of computational methods for hit-finding

Ackloo, S., Al-awar, R., Amaro, R. E., Arrowsmith, C. H., Azevedo, H., Batey, R. A., Bengio, Y., Betz, U. A. K., Bologa, C. G., Chodera, J. D., et al. (2022) · Nature Reviews Chemistry

Computational Drug Discovery MethodsProtein Degradation and Inhibitors

Cited by 112

Whole-genome sequence-based analysis of thyroid function

Taylor, P. N., Porcu, E., Chew, S., Campbell, P. J., Traglia, M., Brown, S. J., Mullin, B. H., Shihab, H. A., Min, J., Walter, K., et al. (2015) · Nature Communications

Genetic Associations and EpidemiologyThyroid Disorders and Treatments

Cited by 104

The evolution of imprinting: chromosomal mapping of orthologues of mammalian imprinted domains in monotreme and marsupial mammals

Edwards, C. A., Rens, W., Clarke, O., Mungall, A. J., Hore, T., Graves, J. A. M., Dunham, I., Ferguson-Smith, A. C., & Ferguson-Smith, M. A. (2007) · BMC Evolutionary Biology

Genetic Syndromes and ImprintingChromosomal and Genetic Variations

Cited by 44