Hayward, Caroline

Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

Berndt, S. I., Gustafsson, S., Mägi, R., Ganna, A., Wheeler, E., Feitosa, M. F., Justice, A. E., Monda, K. L., Croteau-Chonka, D. C., Day, F. R., et al. (2013) · Nature Genetics

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 646

Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders

23andMe Research Team, Walters, R. K., Polimanti, R., Johnson, E. C., McClintick, J. N., Adams, M. J., Adkins, A. E., Aliev, F., Bacanu, S.-A., Batzler, A., et al. (2018) · Nature Neuroscience

Genetic Associations and EpidemiologySubstance Abuse Treatment and Outcomes

Cited by 632

Meta-analysis and imputation refines the association of 15q25 with smoking quantity

The Wellcome Trust Case Control Consortium, Liu, J. Z., Tozzi, F., Waterworth, D. M., Pillai, S. G., Muglia, P., Middleton, L., Berrettini, W., Knouff, C. W., Yuan, X., et al. (2010) · Nature Genetics

Genetic Associations and EpidemiologySmoking Behavior and Cessation

Cited by 614

Rare and low-frequency coding variants alter human adult height

Marouli, E., Graff, M., Medina-Gomez, C., Lo, K. S., Wood, A. R., Kjaer, T. R., Fine, R. S., Lu, Y., Schurmann, C., Highland, H. M., et al. (2017) · Nature

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 610

A General Approach for Haplotype Phasing across the Full Spectrum of Relatedness

O'Connell, J., Gurdasani, D., Delaneau, O., Pirastu, N., Ulivi, S., Cocca, M., Traglia, M., Huang, J., Huffman, J. E., Rudan, I., et al. (2014) · PLoS Genetics

Genetic Associations and EpidemiologyForensic and Genetic Research

Cited by 593

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

Rare variant in scavenger receptor BI raises HDL cholesterol and increases risk of coronary heart disease

Zanoni, P., Khetarpal, S. A., Larach, D. B., Hancock-Cerutti, W. F., Millar, J. S., Cuchel, M., DerOhannessian, S., Kontush, A., Surendran, P., Saleheen, D., et al. (2016) · Science

Cholesterol and Lipid MetabolismLipoproteins and Cardiovascular Health

Cited by 545

Thirty new loci for age at menarche identified by a meta-analysis of genome-wide association studies

The GIANT Consortium, Elks, C. E., Perry, J. R. B., Sulem, P., Chasman, D. I., Franceschini, N., He, C., Lunetta, K. L., Visser, J. A., Byrne, E. M., et al. (2010) · Nature Genetics

Hypothalamic control of reproductive hormonesGenetic Associations and Epidemiology

Cited by 504

Genome-wide meta-analyses of multiancestry cohorts identify multiple new susceptibility loci for refractive error and myopia

Consortium for Refractive Error and Myopia (CREAM), Verhoeven, V. J. M., The Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) Research Group, Wellcome Trust Case Control Consortium 2 (WTCCC2), The Fuchs' Genetics Multi-Center Study Group, Hysi, P. G., Wojciechowski, R., Fan, Q., Guggenheim, J. A., Höhn, R., et al. (2013) · Nature Genetics

Ophthalmology and Visual Impairment StudiesGenetic Associations and Epidemiology

Cited by 487

Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes

Mahajan, A., Wessel, J., Willems, S. M., Zhao, W., Robertson, N. R., Chu, A. Y., Gan, W., Kitajima, H., Taliun, D., Rayner, N. W., et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyGenomics and Rare Diseases

Cited by 442

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

Impact of common genetic determinants of hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis

Wheeler, E., Leong, A., Liu, C.-T., Hivert, M.-F., Strawbridge, R. J., Podmore, C., Li, M., Yao, J., Sim, X., Hong, J., et al. (2017) · PLOS Medicine

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 408

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

Glycans Are a Novel Biomarker of Chronological and Biological Ages

Krištić, J., Vučković, F., Menni, C., Klarić, L., Keser, T., Beceheli, I., Pučić-Baković, M., Novokmet, M., Mangino, M., Thaqi, K., et al. (2014) · The Journals of Gerontology: Series A

Glycosylation and Glycoproteins ResearchAdvanced Glycation End Products research

Cited by 400

Genome-Wide Association Analyses in 128,266 Individuals Identifies New Morningness and Sleep Duration Loci

Jones, S. E., Tyrrell, J., Wood, A. R., Beaumont, R. N., Ruth, K. S., Tuke, M. A., Yaghootkar, H., Hu, Y., Teder-Laving, M., Hayward, C., et al. (2016) · PLOS Genetics

Circadian rhythm and melatoninGenetic Associations and Epidemiology

Cited by 388

Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53 949)

Davies, G., Armstrong, N., Bis, J. C., Bressler, J., Chouraki, V, Giddaluru, S., Hofer, E., Ibrahim-Verbaas, C. A., Kirin, M., Lahti, J., et al. (2015) · Molecular Psychiatry

Genetic Associations and EpidemiologyCognitive Abilities and Testing

Cited by 384

Genome-wide association study of cognitive functions and educational attainment in UK Biobank (N=112 151)

Davies, G., Marioni, R. E., Liewald, D. C., Hill, W. D., Hagenaars, S. P., Harris, S. E., Ritchie, S. J., Luciano, M., Fawns-Ritchie, C., Lyall, D., et al. (2016) · Molecular Psychiatry

Genetic Associations and EpidemiologyCognitive Abilities and Testing

Cited by 373

Meta-analysis of genome-wide association studies for neuroticism, and the polygenic association with major depressive disorder

de Moor, M. H. M., van den Berg, S. M., Verweij, K. J. H., Krueger, R. F., Luciano, M., Arias Vasquez, A., Matteson, L. K., Derringer, J., Esko, T., Amin, N., et al. (2015) · JAMA Psychiatry

Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior

Cited by 345

Genetic variation near IRS1 associates with reduced adiposity and an impaired metabolic profile

Kilpeläinen, T. O., Zillikens, M. C., Stančákova, A., Finucane, F. M., Ried, J. S., Langenberg, C., Zhang, W., Beckmann, J. S., Luan, J., Vandenput, L., et al. (2011) · Nature Genetics

Genetic Associations and EpidemiologyAdipokines, Inflammation, and Metabolic Diseases

Cited by 335

Genetic evidence of assortative mating in humans

Robinson, M. R., Kleinman, A., Graff, M., Vinkhuyzen, A. A. E., Couper, D., Miller, M. B., Peyrot, W. J., Abdellaoui, A., Zietsch, B. P., Nolte, I. M., et al. (2017) · Nature Human Behaviour

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 326

Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension

CHARGE-Heart Failure Consortium, Surendran, P., EchoGen Consortium, METASTROKE Consortium, GIANT Consortium, EPIC-InterAct Consortium, Study, L. C., Wellcome Trust Case Control Consortium, Understanding Society Scientific Group, EPIC-CVD Consortium, et al. (2016) · Nature Genetics

Genetic Associations and EpidemiologyBlood Pressure and Hypertension Studies

Cited by 312

Genome-wide analysis of over 106 000 individuals identifies 9 neuroticism-associated loci

Smith, D. J., Escott-Price, V, Davies, G., Bailey, M. E. S., Colodro-Conde, L., Ward, J., Vedernikov, A., Marioni, R., Cullen, B., Lyall, D., et al. (2016) · Molecular Psychiatry

Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior

Cited by 259

Common genetic variants associated with cognitive performance identified using the proxy-phenotype method

Rietveld, C. A., Esko, T., Davies, G., Pers, T. H., Turley, P., Benyamin, B., Chabris, C. F., Emilsson, V., Johnson, A. D., Lee, J. J., et al. (2014) · Proceedings of the National Academy of Sciences

Genetic Associations and EpidemiologyCognitive Abilities and Testing

Cited by 258