Campbell, Archie

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

The power of genetic diversity in genome-wide association studies of lipids

Graham, S. E., Clarke, S. L., Wu, K.-H. H., Kanoni, S., Zajac, G. J. M., Ramdas, S., Surakka, I., Ntalla, I., Vedantam, S., Winkler, T. W., et al. (2021) · Nature

Genetic Associations and EpidemiologyLipoproteins and Cardiovascular Health

Cited by 972

Genomic insights into the origin of farming in the ancient Near East

Lazaridis, I., Nadel, D., Rollefson, G., Merrett, D. C., Rohland, N., Mallick, S., Fernandes, D., Novak, M., Gamarra, B., Sirak, K., et al. (2016) · Nature

Forensic and Genetic ResearchArchaeology and ancient environmental studies

Cited by 955

A saturated map of common genetic variants associated with human height

Yengo, L., Vedantam, S., Marouli, E., Sidorenko, J., Bartell, E., Sakaue, S., Graff, M., Eliasen, A. U., Jiang, Y., Raghavan, S., et al. (2022) · Nature

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 825

Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

Okbay, A., Wu, Y., Wang, N., Jayashankar, H., Bennett, M., Nehzati, S. M., Sidorenko, J., Kweon, H., Goldman, G., Gjorgjieva, T., et al. (2022) · Nature Genetics

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 654

Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk

Study, T. L. C., Day, F. R., The InterAct Consortium, kConFab/AOCS Investigators, Endometrial Cancer Association Consortium, Ovarian Cancer Association Consortium, PRACTICAL consortium, Thompson, D. J., Helgason, H., Chasman, D. I., et al. (2017) · Nature Genetics

Hypothalamic control of reproductive hormonesGenetic Associations and Epidemiology

Cited by 587

Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection

Messner, C. B., Demichev, V., Wendisch, D., Michalick, L., White, M., Freiwald, A., Textoris-Taube, K., Vernardis, S. I., Egger, A.-S., Kreidl, M., et al. (2020) · Cell Systems

Advanced Proteomics Techniques and ApplicationsCOVID-19 Clinical Research Studies

Cited by 561

Genome-wide association study of alcohol consumption and genetic overlap with other health-related traits in UK Biobank (N=112 117)

Clarke, T.-K., Adams, M. J., Davies, G., Howard, D. M., Hall, L. S., Padmanabhan, S., Murray, A. D., Smith, B. H., Campbell, A., Hayward, C., et al. (2017) · Molecular Psychiatry

Genetic Associations and EpidemiologyAlcohol Consumption and Health Effects

Cited by 440

Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair

The PRACTICAL Consortium, Day, F. R., kConFab Investigators, AOCS Investigators, Scotland, G., EPIC-InterAct Consortium, Study, L. C., Ruth, K. S., Thompson, D. J., Lunetta, K. L., et al. (2015) · Nature Genetics

Genetic Associations and EpidemiologyBRCA gene mutations in cancer

Cited by 402

Cohort Profile: Generation Scotland: Scottish Family Health Study (GS:SFHS). The study, its participants and their potential for genetic research on health and illness

Smith, B. H., Campbell, A., Linksted, P., Fitzpatrick, B., Jackson, C., Kerr, S. M., Deary, I. J., MacIntyre, D. J., Campbell, H., McGilchrist, M., et al. (2013) · International Journal of Epidemiology

Genetic Associations and EpidemiologyEthics in Clinical Research

Cited by 401

PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study

Schmidt, A. F., Swerdlow, D. I., Holmes, M. V., Patel, R. S., Fairhurst-Hunter, Z., Lyall, D. M., Hartwig, F. P., Horta, B. L., Hyppönen, E., Power, C., et al. (2017) · The Lancet Diabetes & Endocrinology

Lipoproteins and Cardiovascular HealthGenetic Associations and Epidemiology

Cited by 380

A time-resolved proteomic and prognostic map of COVID-19

Demichev, V., Tober-Lau, P., Lemke, O., Nazarenko, T., Thibeault, C., Whitwell, H., Röhl, A., Freiwald, A., Szyrwiel, L., Ludwig, D., et al. (2021) · Cell Systems

COVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 Research

Cited by 200

Investigating the possible causal association of smoking with depression and anxiety using Mendelian randomisation meta-analysis: the CARTA consortium

Taylor, A. E., Fluharty, M. E., Bjørngaard, J. H., Gabrielsen, M. E., Skorpen, F., Marioni, R. E., Campbell, A., Engmann, J., Mirza, S. S., Loukola, A., et al. (2014) · BMJ Open

Smoking Behavior and CessationGenetic Associations and Epidemiology

Cited by 187

Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity

Joshi, P. K., Pirastu, N., Kentistou, K. A., Fischer, K., Hofer, E., Schraut, K. E., Clark, D. W., Nutile, T., Barnes, C. L. K., Timmers, P. R. H. J., et al. (2017) · Nature Communications

Genetic Associations and EpidemiologyGenetics, Aging, and Longevity in Model Organisms

Cited by 161

An epigenome-wide association study of sex-specific chronological ageing

McCartney, D. L., Zhang, F., Hillary, R. F., Zhang, Q., Stevenson, A. J., Walker, R. M., Bermingham, M. L., Boutin, T., Morris, S. W., Campbell, A., et al. (2020) · Genome Medicine

Epigenetics and DNA MethylationGenetic Associations and Epidemiology

Cited by 152

Flexible and scalable diagnostic filtering of genomic variants using G2P with Ensembl VEP

Thormann, A., Halachev, M., McLaren, W., Moore, D. J., Svinti, V., Campbell, A., Kerr, S. M., Tischkowitz, M., Hunt, S. E., Dunlop, M. G., et al. (2019) · Nature Communications

Genomics and Rare DiseasesGenomics and Phylogenetic Studies

Cited by 151

Blunted medial prefrontal cortico-limbic reward-related effective connectivity and depression

Rupprechter, S., Romaniuk, L., Series, P., Hirose, Y., Hawkins, E., Sandu, A.-L., Waiter, G. D., McNeil, C. J., Shen, X., Harris, M. A., et al. (2020) · Brain

Functional Brain Connectivity StudiesNeural and Behavioral Psychology Studies

Cited by 80

Socioeconomic deprivation: an important, largely unrecognized risk factor in primary prevention of cardiovascular disease

Kimenai, D. M., Pirondini, L., Gregson, J., Prieto, D., Pocock, S. J., Perel, P., Hamilton, T., Welsh, P., Campbell, A., Porteous, D. J., et al. (2022) · Circulation

Health Promotion and Cardiovascular PreventionHealth disparities and outcomes

Cited by 76

Genetic comorbidity between major depression and cardio‐metabolic traits, stratified by age at onset of major depression

Hagenaars, S. P., Coleman, J. R. I., Choi, S. W., Gaspar, H., Adams, M. J., Howard, D. M., Hodgson, K., Traylor, M., Air, T. M., Andlauer, T. F. M., et al. (2020) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 61

Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways

Young, W. J., Lahrouchi, N., Isaacs, A., Duong, T., Foco, L., Ahmed, F., Brody, J. A., Salman, R., Noordam, R., Benjamins, J.-W., et al. (2022) · Nature Communications

Cardiac electrophysiology and arrhythmiasGenetic Associations and Epidemiology

Cited by 49

Family-GWAS reveals effects of environment and mating on genetic associations

Tan, T., Jayashankar, H., Guan, J., Nehzati, S. M., Mir, M., Bennett, M., Agerbo, E., Ahlskog, R., de Andrade Anapaz, V. P., Benonisdottir, S., et al. (2024) · medRxiv

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 47

A multi-ancestry genome-wide study incorporating gene–smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure

Sung, Y. J., de las Fuentes, L., Winkler, T. W., Chasman, D. I., Bentley, A. R., Kraja, A. T., Ntalla, I., Warren, H. R., Guo, X., Schwander, K., et al. (2019) · Human Molecular Genetics

Genetic Associations and EpidemiologyBlood Pressure and Hypertension Studies

Cited by 43

Methylome-wide association study of antidepressant use in Generation Scotland and the Netherlands Twin Register implicates the innate immune system

Barbu, M. C., Huider, F., Campbell, A., Amador, C., Adams, M. J., Lynall, M.-E., Howard, D. M., Walker, R. M., Morris, S. W., Van Dongen, J., et al. (2022) · Molecular Psychiatry

Epigenetics and DNA MethylationGenetic Associations and Epidemiology

Cited by 43

Genetic and environmental determinants of stressful life events and their overlap with depression and neuroticism

Clarke, T.-K., Zeng, Y., Navrady, L., Xia, C., Haley, C., Campbell, A., Navarro, P., Amador, C., Adams, M. J., Howard, D. M., et al. (2018) · Wellcome Open Research

Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior

Cited by 16