Montgomery, Grant W.

Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

Study, L. C., Okbay, A., Baselmans, B. M. L., De Neve, J.-E., Turley, P., Nivard, M. G., Fontana, M. A., Meddens, S. F. W., Linnér, R. K., Rietveld, C. A., et al. (2016) · Nature Genetics

Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior

Cited by 1,013

Identification of seven loci affecting mean telomere length and their association with disease

CARDIoGRAM consortium, Codd, V., Nelson, C. P., Albrecht, E., Mangino, M., Deelen, J., Buxton, J. L., Hottenga, J. J., Fischer, K., Esko, T., et al. (2013) · Nature Genetics

Telomeres, Telomerase, and SenescenceGenetic Associations and Epidemiology

Cited by 933

Common genetic variants influence human subcortical brain structures

Initiative, T. A. D. N., Hibar, D. P., The CHARGE Consortium, EPIGEN, IMAGEN, SYS, Stein, J. L., Renteria, M. E., Arias-Vasquez, A., Desrivières, S., et al. (2015) · Nature

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 858

Cholinergic nicotinic receptor genes implicated in a nicotine dependence association study targeting 348 candidate genes with 3713 SNPs

Saccone, S. F., Hinrichs, A. L., Saccone, N. L., Chase, G. A., Konvicka, K., Madden, P. A. F., Breslau, N., Johnson, E. O., Hatsukami, D., Pomerleau, O., et al. (2007) · Human Molecular Genetics

Smoking Behavior and CessationGenetic Associations and Epidemiology

Cited by 850

The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

the Alzheimer’s Disease Neuroimaging Initiative, E. C., Thompson, P. M., Stein, J. L., Medland, S. E., Hibar, D. P., Vasquez, A. A., Renteria, M. E., Toro, R., Jahanshad, N., Schumann, G., et al. (2014) · Brain Imaging and Behavior

Genetic Associations and EpidemiologyFunctional Brain Connectivity Studies

Cited by 838

GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment

Rietveld, C. A., Medland, S. E., Derringer, J., Yang, J., Esko, T., Martin, N. W., Westra, H.-J., Shakhbazov, K., Abdellaoui, A., Agrawal, A., et al. (2013) · Science

Genetic Associations and EpidemiologyCognitive Abilities and Testing

Cited by 827

The transcriptional landscape of age in human peripheral blood

Peters, M. J., Joehanes, R., Pilling, L. C., Schurmann, C., Conneely, K. N., Powell, J., Reinmaa, E., Sutphin, G. L., Zhernakova, A., Schramm, K., et al. (2015) · Nature Communications

Genetics, Aging, and Longevity in Model OrganismsEpigenetics and DNA Methylation

Cited by 725

Sequence variants at CHRNB3–CHRNA6 and CYP2A6 affect smoking behavior

The ENGAGE Consortium, Thorgeirsson, T. E., Gudbjartsson, D. F., Surakka, I., Vink, J. M., Amin, N., Geller, F., Sulem, P., Rafnar, T., Esko, T., et al. (2010) · Nature Genetics

Smoking Behavior and CessationGenetic Associations and Epidemiology

Cited by 689

Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits

Wu, Y., Zeng, J., Zhang, F., Zhu, Z., Qi, T., Zheng, Z., Lloyd-Jones, L. R., Marioni, R. E., Martin, N. G., Montgomery, G. W., et al. (2018) · Nature Communications

Genetic Associations and EpidemiologyEpigenetics and DNA Methylation

Cited by 685

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

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

Novel genes identified in a high-density genome wide association study for nicotine dependence

Bierut, L. J., Madden, P. A. F., Breslau, N., Johnson, E. O., Hatsukami, D., Pomerleau, O. F., Swan, G. E., Rutter, J., Bertelsen, S., Fox, L., et al. (2007) · Human Molecular Genetics

Genetic Associations and EpidemiologySmoking Behavior and Cessation

Cited by 622

Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche

Study, A. O. C., Perry, J. R. B., The GENICA Network, kConFab, Study, T. L. C., The InterAct Consortium, Early Growth Genetics (EGG) Consortium, Day, F., Elks, C. E., Sulem, P., et al. (2014) · Nature

Hypothalamic control of reproductive hormonesGenetic Associations and Epidemiology

Cited by 604

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

Genomic and phenotypic insights from an atlas of genetic effects on DNA methylation

Min, J. L., Hemani, G., Hannon, E., Dekkers, K. F., Castillo-Fernandez, J., Luijk, R., Carnero-Montoro, E., Lawson, D. J., Burrows, K., Suderman, M., et al. (2021) · Nature Genetics

Epigenetics and DNA MethylationGenetic Associations and Epidemiology

Cited by 506

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

A Genome-Wide Association Study Identifies Novel Alleles Associated with Hair Color and Skin Pigmentation

Han, J., Kraft, P., Nan, H., Guo, Q., Chen, C., Qureshi, A., Hankinson, S. E., Hu, F. B., Duffy, D. L., Zhao, Z. Z., et al. (2008) · PLoS Genetics

melanin and skin pigmentationGenetic Associations and Epidemiology

Cited by 499

Improved precision of epigenetic clock estimates across tissues and its implication for biological ageing

Zhang, Q., Vallerga, C. L., Walker, R. M., Lin, T., Henders, A. K., Montgomery, G. W., He, J., Fan, D., Fowdar, J., Kennedy, M., et al. (2019) · Genome Medicine

Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model Organisms

Cited by 487

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

Meta-analysis of telomere length in 19,713 subjects reveals high heritability, stronger maternal inheritance and a paternal age effect

Broer, L., Codd, V., Nyholt, D. R., Deelen, J., Mangino, M., Willemsen, G., Albrecht, E., Amin, N., Beekman, M., de Geus, E. J. C., et al. (2013) · European Journal of Human Genetics

Telomeres, Telomerase, and SenescenceGenetic Associations and Epidemiology

Cited by 450

Genome-wide association study of major depressive disorder: new results, meta-analysis, and lessons learned

Wray, N. R., Pergadia, M. L., Blackwood, D. H. R., Penninx, B. W. J. H., Gordon, S. D., Nyholt, D. R., Ripke, S., MacIntyre, D. J., McGhee, K. A., Maclean, A. W., et al. (2012) · Molecular Psychiatry

Genetic Associations and EpidemiologyTreatment of Major Depression

Cited by 444

Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood

Qi, T., Wu, Y., Zeng, J., Zhang, F., Xue, A., Jiang, L., Zhu, Z., Kemper, K., Yengo, L., Zheng, Z., et al. (2018) · Nature Communications

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 427

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