Turman, Constance

Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use

23andMe Research Team, Liu, M., Psychiatry, H. A.-I., Jiang, Y., Wedow, R., Li, Y., Brazel, D. M., Chen, F., Datta, G., Davila-Velderrain, J., et al. (2019) · Nature Genetics

Genetic Associations and EpidemiologySmoking Behavior and Cessation

Cited by 1,896

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

Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci

Study, T. P., Schumacher, F. R., (APCB), A. P. C. B., Study, T. I., Canary PASS Investigators, Breast and Prostate Cancer Cohort Consortium (BPC3), The PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium, (CAPS), C. O. T. P. I. S., Prostate Cancer Genome-wide Association Study of Uncommon Susceptibility Loci (PEGASUS), The Genetic Associations and Mechanisms in Oncology (GAME-ON)/Elucidating Loci Involved in Prostate Cancer Susceptibility (ELLIPSE) Consortium, et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyProstate Cancer Treatment and Research

Cited by 902

Genomic and transcriptomic association studies identify 16 novel susceptibility loci for venous thromboembolism

Lindström, S., Wang, L., Smith, E. N., Gordon, W., van Hylckama Vlieg, A., de Andrade, M., Brody, J. A., Pattee, J. W., Haessler, J., Brumpton, B. M., et al. (2019) · Blood

Genetic Associations and EpidemiologyBlood Coagulation and Thrombosis Mechanisms

Cited by 223

Body mass index and breast cancer survival: a Mendelian randomization analysis

Guo, Q., Burgess, S., Turman, C., Bolla, M. K., Wang, Q., Lush, M., Abraham, J., Aittomäki, K., Andrulis, I. L., Apicella, C., et al. (2017) · International Journal of Epidemiology

Cancer Risks and FactorsGenetic Associations and Epidemiology

Cited by 64

Efficient cross-trait penalized regression increases prediction accuracy in large cohorts using secondary phenotypes

Chung, W., Chen, J., Turman, C., Lindstrom, S., Zhu, Z., Loh, P.-R., Kraft, P., & Liang, L. (2019) · Nature Communications

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 60