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239 results found

Mendelian randomization of inorganic arsenic metabolism as a risk factor for hypertension- and diabetes-related traits among adults in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) cohort.

Publication: Journal Article

Bryan, Molly Scannell, Tamar Sofer, Yasmin Mossavar-Rahmani, Bharat Thyagarajan, Donglin Zeng, Martha L Daviglus, and Maria Argos. 2019. “Mendelian Randomization of Inorganic Arsenic Metabolism As a Risk Factor for Hypertension- and Diabetes-Related Traits Among Adults in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Cohort.”. International Journal of Epidemiology 48 (3): 876-86.

Genome-wide analysis of dental caries and periodontitis combining clinical and self-reported data.

Publication: Journal Article

Shungin, Dmitry, Simon Haworth, Kimon Divaris, Cary S Agler, Yoichiro Kamatani, Myoung Keun Lee, Kelsey Grinde, et al. 2019. “Genome-Wide Analysis of Dental Caries and Periodontitis Combining Clinical and Self-Reported Data.”. Nature Communications 10 (1): 2773.

Metabolomic profiles of sleep-disordered breathing are associated with hypertension and diabetes mellitus development.

Publication: Journal Article

Zhang, Ying, Bing Yu, Qibin Qi, Ali Azarbarzin, Han Chen, Neomi A Shah, Alberto R Ramos, et al. 2024. “Metabolomic Profiles of Sleep-Disordered Breathing Are Associated With Hypertension and Diabetes Mellitus Development.”. Nature Communications 15 (1): 1845.

A Gene-Acculturation Study of Obesity Among US Hispanic/Latinos: The Hispanic Community Health Study/Study of Latinos.

Publication: Journal Article

Fernández-Rhodes, Lindsay, Cristin E McArdle, Hridya Rao, Yujie Wang, Erline E Martinez-Miller, Julia B Ward, Jianwen Cai, Tamar Sofer, Carmen R Isasi, and Kari E North. 2023. “A Gene-Acculturation Study of Obesity Among US Hispanic/Latinos: The Hispanic Community Health Study/Study of Latinos.”. Psychosomatic Medicine 85 (4): 358-65.

Whole Genome Analysis of Venous Thromboembolism: the Trans-Omics for Precision Medicine Program.

Publication: Journal Article

Seyerle, Amanda A, Cecelia A Laurie, Brandon J Coombes, Deepti Jain, Matthew P Conomos, Jennifer Brody, Ming-Huei Chen, et al. 2023. “Whole Genome Analysis of Venous Thromboembolism: The Trans-Omics for Precision Medicine Program.”. Circulation. Genomic and Precision Medicine 16 (2): e003532.

Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference.

Publication: Journal Article

Meng, Xiangrui, Georgina Navoly, Olga Giannakopoulou, Daniel F Levey, Dora Koller, Gita A Pathak, Nastassja Koen, et al. 2024. “Multi-Ancestry Genome-Wide Association Study of Major Depression Aids Locus Discovery, Fine Mapping, Gene Prioritization and Causal Inference.”. Nature Genetics 56 (2): 222-33.

On negative outcome control of unobserved confounding as a generalization of difference-in-differences.

Publication: Journal Article

Sofer, Tamar, David B Richardson, Elena Colicino, Joel Schwartz, and Eric J Tchetgen Tchetgen. 2016. “On Negative Outcome Control of Unobserved Confounding As a Generalization of Difference-in-Differences.”. Statistical Science : A Review Journal of the Institute of Mathematical Statistics 31 (3): 348-61.

Xinye Qiu joined our group!

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We are so happy to have her! Here's a link to Xinye's google scholar profile.

Paper publication: review paper of genetic studies in HCHS/SOL

News: December 03, 2024

This review paper summarizes the genetic research contributions of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). HCHS/SOL is a landmark study that has provided crucial insights into the genetics of various health outcomes in Hispanic/Latino individuals. Due to the historically low...

Genome-wide association analysis of composite sleep health scores in 413,904 individuals.

Publication: Journal Article

Goodman, Matthew O, Tariq Faquih, Valentina Paz, Pavithra Nagarajan, Jacqueline M Lane, Brian Spitzer, Matthew Maher, et al. 2025. “Genome-Wide Association Analysis of Composite Sleep Health Scores in 413,904 Individuals.”. Communications Biology 8 (1): 115.