Barnes, Michael R.

Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits

Program, T. M. V., Evangelou, E., Warren, H. R., Mosen-Ansorena, D., Mifsud, B., Pazoki, R., Gao, H., Ntritsos, G., Dimou, N., Cabrera, C. P., et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyBlood Pressure and Hypertension Studies

Cited by 1,381

A mega-analysis of genome-wide association studies for major depressive disorder

Major Depressive Disorder Working Group of the Psychiatric GWAS Consortium, Ripke, S., Wray, N. R., Lewis, C. M., Hamilton, S. P., Weissman, M. M., Breen, G., Byrne, E. M., Blackwood, D. H. R., Boomsma, D. I., et al. (2013) · Molecular Psychiatry

Genetic Associations and EpidemiologyBipolar Disorder and Treatment

Cited by 1,120

Candidate single-nucleotide polymorphisms from a genomewide association study of Alzheimer disease

Li, H., Wetten, S., Li, L., St. Jean, P. L., Upmanyu, R., Surh, L., Hosford, D., Barnes, M. R., Briley, J. D., Borrie, M., et al. (2008) · Archives of Neurology

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 499

Disruption of the neurexin 1 gene is associated with schizophrenia

Rujescu, D., Ingason, A., Cichon, S., Pietiläinen, O. P. H., Barnes, M. R., Toulopoulou, T., Picchioni, M., Vassos, E., Ettinger, U., Bramon, E., et al. (2009) · Human Molecular Genetics

Genomic variations and chromosomal abnormalitiesSchizophrenia research and treatment

Cited by 471

Clinical applications of machine learning algorithms: beyond the black box

Watson, D. S., Krutzinna, J., Bruce, I. N., Griffiths, C. E., McInnes, I. B., Barnes, M. R., & Floridi, L. (2019) · BMJ

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 450

Pathway and network-based analysis of genome-wide association studies in multiple sclerosis

Baranzini, S. E., Galwey, N. W., Wang, J., Khankhanian, P., Lindberg, R., Pelletier, D., Wu, W., Uitdehaag, B. M. J., Kappos, L., GeneMSA Consortium, et al. (2009) · Human Molecular Genetics

Multiple Sclerosis Research StudiesBioinformatics and Genomic Networks

Cited by 383

Health and population effects of rare gene knockouts in adult humans with related parents

Narasimhan, V. M., Hunt, K. A., Mason, D., Baker, C. L., Karczewski, K. J., Barnes, M. R., Barnett, A. H., Bates, C., Bellary, S., Bockett, N. A., et al. (2016) · Science

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 286

Reaching the end-game for GWAS: Machine learning approaches for the prioritization of complex disease loci

Nicholls, H. L., John, C. R., Watson, D. S., Munroe, P. B., Barnes, M. R., & Cabrera, C. P. (2020) · Frontiers in Genetics

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 155

Genetic Differences in the Immediate Transcriptome Response to Stress Predict Risk-Related Brain Function and Psychiatric Disorders

Arloth, J., Bogdan, R., Weber, P., Frishman, G., Menke, A., Wagner, K. V., Balsevich, G., Schmidt, M. V., Karbalai, N., Czamara, D., et al. (2015) · Neuron

Stress Responses and CortisolGenetic Associations and Epidemiology

Cited by 142

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

Genomics implicates adaptive and innate immunity in Alzheimer’s and Parkinson’s diseases

Gagliano, S. A., Pouget, J. G., Hardy, J., Knight, J., Barnes, M. R., Ryten, M., & Weale, M. E. (2016) · Annals of Clinical and Translational Neurology

Neuroinflammation and Neurodegeneration MechanismsAlzheimer's disease research and treatments

Cited by 85

The association between lower educational attainment and depression owing to shared genetic effects? Results in ~25 000 subjects

Peyrot, W. J., Lee, S. H., Milaneschi, Y., Abdellaoui, A., Byrne, E. M., Esko, T., de Geus, E. J. C., Hemani, G., Hottenga, J. J., Kloiber, S., et al. (2015) · Molecular Psychiatry

Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior

Cited by 84

Common Genetic Variants and Gene-Expression Changes Associated with Bipolar Disorder Are Over-Represented in Brain Signaling Pathway Genes

Pedroso, I., Lourdusamy, A., Rietschel, M., Nöthen, M. M., Cichon, S., McGuffin, P., Al-Chalabi, A., Barnes, M. R., & Breen, G. (2012) · Biological Psychiatry

Bipolar Disorder and TreatmentGenetic Associations and Epidemiology

Cited by 59

Genome-wide association analysis of copy number variation in recurrent depressive disorder

Rucker, J. J. H., Breen, G., Pinto, D., Pedroso, I., Lewis, C. M., Cohen-Woods, S., Uher, R., Schosser, A., Rivera, M., Aitchison, K. J., et al. (2013) · Molecular Psychiatry

Genomic variations and chromosomal abnormalitiesGenetic Associations and Epidemiology

Cited by 51

ADAMTSL3 as a candidate gene for schizophrenia: gene sequencing and ultra-high density association analysis by imputation

Dow, D. J., Huxley-Jones, J., Hall, J. M., Francks, C., Maycox, P. R., Kew, J. N. C., Gloger, I. S., Mehta, N. A. L., Kelly, F. M., Muglia, P., et al. (2011) · Schizophrenia Research

Schizophrenia research and treatmentGenetic Associations and Epidemiology

Cited by 48