Genomic Studies and Association Analyses

Displaying 1 - 50 of 58CSV
Hui, D., Dudek, S., Kiryluk, K., Walunas, T. L., Kullo, I. J., Wei, W.-Q., Tiwari, H., Peterson, J. F., Chung, W. K., Davis, B. H., Khan, A., Kottyan, L. C., Limdi, N. A., Feng, Q., Puckelwartz, M. J., Weng, C., Smith, J. L., Karlson, E. W., … Ritchie, M. D. (2025). Risk factors affecting polygenic score performance across diverse cohorts. ELife, 12. CLOCKSS. https://doi.org/10.7554/elife.88149
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Basile, A. O., Verma, A., Tang, L. A., Serper, M., Scanga, A., Farrell, A., Destin, B., Carr, R. M., Anyanwu‐Ofili, A., Rajagopal, G., Krikhely, A., Bessler, M., Reilly, M. P., Ritchie, M. D., Tatonetti, N. P., & Wattacheril, J. (2024). Rapid identification and phenotyping of nonalcoholic fatty liver disease patients using a machine‐based approach in diverse healthcare systems. Clinical and Translational Science, 18(1). Portico. https://doi.org/10.1111/cts.70105
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Cieza, B., Yang, Z., Reyes‐Dumeyer, D., Lee, A. J., Dugger, B. N., Jin, L., Murray, M. E., Dickson, D. W., Pericak‐Vance, M. A., Vance, J. M., Foroud, T. M., Mayeux, R., & Tosto, G. (2024). Polytranscriptomic risk score for Alzheimer Disease in a large diverse multi‐center brain bank study. Alzheimer’s & Dementia, 20(S1). Portico. https://doi.org/10.1002/alz.092971
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Gomez, N., Jean‐Francois, M., Hamilton‐Nelson, K. L., Slifer, S. H., Kunkle, B. W., Cuccaro, M. L., Martin, E. R., Haines, J. L., Reitz, C., Pericak‐Vance, M. A., Vardarajan, B. N., & Beecham, G. (2024). Linkage analyses identifiy novel loci for Alzheimer’s disease in non‐Hispanic white families. Alzheimer’s & Dementia, 20(S1). Portico. https://doi.org/10.1002/alz.092913
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Lee, A. J., Cui, Z., Song, Z., Reyes‐Dumeyer, D., De Jager, P. L., Bennett, D. A., Schneider, J. A., Menon, V., Wang, Y., Lantigua, R. A., Medrano, M., Mejia, D. R., Jiménez‐Velázquez, I. Z., Kukull, W. A., Biber, S. A., Brickman, A. M., Tosto, G., Kizil, C., Farrer, L. A., … Mayeux, R. (2024). Multi‐ancestry Genome‐wide Gene‐Vascular Risk Factors Interaction Analyses in Alzheimer’s Disease. Alzheimer’s & Dementia, 20(S1). Portico. https://doi.org/10.1002/alz.093041
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Seto, M., Clifton, M., Coughlan, G. T., Boyle, R., Birkenbihl, C., Wang, T., De Jager, P. L., Schneider, J. A., Sperling, R. A., Wang, Y., Bennett, D. A., Hohman, T. J., Yang, H., Dumitrescu, L. C., & Buckley, R. F. (2024). Genes that escape X chromosome inactivation are associated with Alzheimer’s disease endophenotypes: findings from ROSMAP. Alzheimer’s & Dementia, 20(S1). Portico. https://doi.org/10.1002/alz.090796
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Kumar, A., Ray, N. R., Cuccaro, M. L., Beecham, G., Huey, E. D., & Reitz, C. (2024). Genetic correlation analysis identifies genetic loci shared between Alzheimer’s disease and primary psychiatric disorders. Alzheimer’s & Dementia, 20(S1). Portico. https://doi.org/10.1002/alz.093421
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Caro, D. D., Rodriguez, S., Wetmore, J. B., Godinez, J. D., Camarillo, I. A., Goldman, J., Uhlmann, W. R., McCain, S., Caban, M., Leu, C., Abraido‐Lanza, A. F., Lantigua, R. A., Chung, W. K., Roberts, J. S., Siegel, K., & Ottman, R. (2024). Exploring the Immediate Impact of APOE ε4ε4 Genotype Disclosure among Latinos. Alzheimer’s & Dementia, 20(S1). Portico. https://doi.org/10.1002/alz.086185
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Kumar, A., Ray, N. R., Zaman, A. F., Manoochehri, M., Stein, C., Mena, P. R., Sweet, R., Hohman, T. J., Cuccaro, M. L., Beecham, G. W., Huey, E. D., & Reitz, C. (2024). Disentangling the genetic underpinnings of neuropsychiatric symptoms in Alzheimer’s Disease in the Alzheimer’s Disease Sequencing Project: study design and methodology. Alzheimer’s & Dementia, 20(S1). Portico. https://doi.org/10.1002/alz.092344
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Geng, J., Ruan, X., Wu, X., Chen, X., Fu, T., Gill, D., Burgess, S., Chen, J., Ludvigsson, J. F., Larsson, S. C., Li, X., Du, Z., & Yuan, S. (2024). Network Mendelian randomisation analysis deciphers protein pathways linking type 2 diabetes and gastrointestinal disease. Diabetes, Obesity and Metabolism. Portico. https://doi.org/10.1111/dom.16087
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Lee, W., Choi, S. H., Shea, M. G., Cheng, P., Dombroski, B. A., Pitsillides, A. N., Heard‐Costa, N. L., Wang, H., Bulekova, K., Kuzma, A. B., Leung, Y. Y., Farrell, J. J., Lin, H., Kunkle, B. W., Naj, A., Blue, E. E., Nusetor, F., Wang, D., Boerwinkle, E., … Peloso, G. M. (2024). Association of common and rare variants with Alzheimer’s disease in more than 13,000 diverse individuals with whole‐genome sequencing from the Alzheimer’s Disease Sequencing Project. Alzheimer’s & Dementia. Portico. https://doi.org/10.1002/alz.14283
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Kwak, S. H., Srinivasan, S., Chen, L., Todd, J., Mercader, J. M., Jensen, E. T., Divers, J., Mottl, A. K., Pihoker, C., Gandica, R. G., Laffel, L. M., Isganaitis, E., Haymond, M. W., Levitsky, L. L., Pollin, T. I., Florez, J. C., & Flannick, J. (2024). Genetic architecture and biology of youth-onset type 2 diabetes. Nature Metabolism, 6(2), 226–237. https://doi.org/10.1038/s42255-023-00970-0
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Columbia Affiliation
Bradfield, J. P., Kember, R. L., Ulrich, A., Balkhiyarova, Z., Alyass, A., Aris, I. M., Bell, J. A., Broadaway, K. A., Chen, Z., Chai, J.-F., Davies, N. M., Fernandez-Orth, D., Bustamante, M., Fore, R., Ganguli, A., Heiskala, A., Hottenga, J.-J., Íñiguez, C., … Kobes, S. (2024). Trans-ancestral genome-wide association study of longitudinal pubertal height growth and shared heritability with adult health outcomes. Genome Biology, 25(1). https://doi.org/10.1186/s13059-023-03136-z
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Kasela, S., Aguet, F., Kim-Hellmuth, S., Brown, B. C., Nachun, D. C., Tracy, R. P., Durda, P., Liu, Y., Taylor, K. D., Johnson, W. C., Van Den Berg, D., Gabriel, S., Gupta, N., Smith, J. D., Blackwell, T. W., Rotter, J. I., Ardlie, K. G., Manichaikul, A., Rich, S. S., … Lappalainen, T. (2024). Interaction molecular QTL mapping discovers cellular and environmental modifiers of genetic regulatory effects. The American Journal of Human Genetics, 111(1), 133–149. https://doi.org/10.1016/j.ajhg.2023.11.013
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Stefanucci, L., Collins, J., Sims, M. C., Barrio-Hernandez, I., Sun, L., Burren, O. S., Perfetto, L., Bender, I., Callahan, T. J., Fleming, K., Guerrero, J. A., Hermjakob, H., Martin, M. J., Stephenson, J., Paneerselvam, K., Petrovski, S., Porras, P., Robinson, P. N., Wang, Q., … Vuckovic, D. (2023). The effects of pathogenic and likely pathogenic variants for inherited hemostasis disorders in 140 214 UK Biobank participants. Blood, 142(24), 2055–2068. https://doi.org/10.1182/blood.2023020118
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Xicota, L., Cheng, R., Barral, S., Honig, L. S., Schupf, N., Gu, Y., Cosentino, S., Zmuda, J. M., Perls, T. T., Christensen, K., Province, M. A., & Lee, J. H. (2023). Examination of Genetic Risk Factors for Alzheimer’s Disease in a Cohort of Familial Longevity: the Long Life Family Study. Alzheimer’s & Dementia, 19(S24). Portico. https://doi.org/10.1002/alz.082363
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Ray, N. R., Kunkle, B. W., Hamilton‐Nelson, K. L., Kurup, J. T., Cosacak, M. I., Kizil, C., Jean‐Francois, M., Cuccaro, M. L., Vance, J. M., Hendrie, H. C., Baiyewu, O., Ogunniyi, A., Martin, E. R., Wang, L., Beecham, G. W., Farrer, L. A., Haines, J. L., Byrd, G. S., … Schellenberg, G. D. (2023). Extended genome‐wide association study employing the African Genome Resources Panel identifies novel susceptibility loci for Alzheimer’s Disease in individuals of African ancestry. Alzheimer’s & Dementia, 19(S15). Portico. https://doi.org/10.1002/alz.078904
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Durant, A., Mukherjee, S., Lee, M. L., Choi, S., Scollard, P., Trittschuh, E. H., Mez, J. B., Bush, W. S., Kunkle, B. W., Naj, A. C., Gifford, K. A., Cuccaro, M. L., Cruchaga, C., Hassenstab, J. J., Pericak‐Vance, M. A., Farrer, L. A., Wang, L., Haines, J. L., … Jefferson, A. L. (2023). Genetic architecture of multiple domains of cognition among SuperAgers. Alzheimer’s & Dementia, 19(S12). Portico. https://doi.org/10.1002/alz.080218
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Rehm, H. L., Alaimo, J. T., Aradhya, S., Bayrak-Toydemir, P., Best, H., Brandon, R., Buchan, J. G., Chao, E. C., Chen, E., Clifford, J., Cohen, A. S. A., Conlin, L. K., Das, S., Davis, K. W., del Gaudio, D., Del Viso, F., DiVincenzo, C., Eisenberg, M., Guidugli, L., … Rehm, H. (2023). The landscape of reported VUS in multi-gene panel and genomic testing: Time for a change. Genetics in Medicine, 25(12), 100947. https://doi.org/10.1016/j.gim.2023.100947
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Walters, S., Eissman, J. M., Mukherjee, S., Lee, M. L., Choi, S., Scollard, P., Trittschuh, E. H., Mez, J. B., Bush, W. S., Kunkle, B. W., Naj, A. C., Gifford, K. A., Cuccaro, M. L., Cruchaga, C., Pericak‐Vance, M. A., Farrer, L. A., Wang, L., Haines, J. L., … Jefferson, A. L. (2023). Genetic predictors of multiple cognitive domains within ancestry groups in older adults. Alzheimer’s & Dementia, 19(S12). Portico. https://doi.org/10.1002/alz.079076
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Yang, H., Mukherjee, S., Latimer, C. S., Teng, L., White, C. C., Yu, L., Sperling, R. A., Larson, E. B., Crane, P. K., Keene, C. D., Bennett, D. A. A., Schneider, J. A., & De Jager, P. L. (2023). A genome‐wide association study of LATE‐NC (limbic‐predominant age‐related TDP‐43 encephalopathy neuropathologic change) reveals a distinct genetic architecture. Alzheimer’s & Dementia, 19(S12). Portico. https://doi.org/10.1002/alz.079393
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Naj, A. C., Rajabli, F., Reitz, C., Jun, G. R., Benchek, P., Tosto, G., Sha, J., Zhu, C., Kushch, N. A., Lee, W., Haut, J., Hamilton‐Nelson, K. L., Wheeler, N. R., Zhao, Y., Farrell, J., Grunin, M., Leung, Y. Y., Li, D., … da Fonseca, E. L. (2023). Multi‐Ancestry Genome‐wide Association Analysis of Late‐Onset Alzheimer’s Disease (LOAD) in 60,941 Individuals Identifies Multiple Novel Cross‐Ancestry Associations and Implicates Amyloid and Complement Pathways. Alzheimer’s & Dementia, 19(S12). Portico. https://doi.org/10.1002/alz.079401
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Park, D. K., Chen, M., Kim, S., Joo, Y. Y., Loving, R. K., Kim, H. S., Cha, J., Yoo, S., & Kim, J. H. (2023). Overestimated prediction using polygenic prediction derived from summary statistics. BMC Genomic Data, 24(1). https://doi.org/10.1186/s12863-023-01151-4
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Zhong, G., Choi, Y. A., & Shen, Y. (2023). VBASS enables integration of single cell gene expression data in Bayesian association analysis of rare variants. Communications Biology, 6(1). https://doi.org/10.1038/s42003-023-05155-9
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Hofmann, A., Haesler, L. M., Preische, O., Gräber‐Sultan, S., Obermüller, U., Vöglein, J., Levin, J., Laske, C., Fitzpatrick, C. D., Levin, R., Joseph‐Mathurin, N., Chen, C. D., Cruchaga, C., Goate, A., Allegri, R. F., Benzinger, T. L. S., Berman, S., Chui, H. C., Fagan, A. M., … Schultz, S. A. (2023). Refinement of Neurofilament light Dynamics in CSF and Blood for familial Alzheimer’s Disease. Alzheimer’s & Dementia, 19(S14). Portico. https://doi.org/10.1002/alz.078802
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Eissman, J. M., Walters, S., Mukherjee, S., Lee, M. L., Choi, S., Scollard, P., Trittschuh, E. H., Mez, J. B., Bush, W. S., Kunkle, B. W., Naj, A. C., Gifford, K. A., Cuccaro, M. L., Cruchaga, C., Pericak‐Vance, M. A., Farrer, L. A., Wang, L., Haines, J. L., … Jefferson, A. L. (2023). Sex‐specific genetic architecture of multiple domains of cognition among older adults. Alzheimer’s & Dementia, 19(S12). Portico. https://doi.org/10.1002/alz.077007
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Barral, S., Rentería, M. A., Reyes‐Dumeyer, D., Arango, S. M., Obregon, A. M., Samper‐Ternent, R., Wong, R., Barber, R., Phillips, N., O’Bryant, S. E., Montesinos, R., Soto‐Añari, M. F., Custodio, N., & Tosto, G. (2023). Association of APOE with Alzheimer’s disease in Mexico, Caribbean‐Hispanics, Peruvian and Mexican Americans. Alzheimer’s & Dementia, 19(S12). Portico. https://doi.org/10.1002/alz.080230
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Flynn, B. I., Javan, E. M., Lin, E., Trutner, Z., Koenig, K., Anighoro, K. O., Kun, E., Gupta, A., Singh, T., Jayakumar, P., & Narasimhan, V. M. (2023). Deep learning based phenotyping of medical images improves power for gene discovery of complex disease. Npj Digital Medicine, 6(1). https://doi.org/10.1038/s41746-023-00903-x
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Kurniansyah, N., Goodman, M. O., Khan, A. T., Wang, J., Feofanova, E., Bis, J. C., Wiggins, K. L., Huffman, J. E., Kelly, T., Elfassy, T., Guo, X., Palmas, W., Lin, H. J., Hwang, S.-J., Gao, Y., Young, K., Kinney, G. L., Smith, J. A., Yu, B., … Sofer, T. (2023). Evaluating the use of blood pressure polygenic risk scores across race/ethnic background groups. Nature Communications, 14(1). https://doi.org/10.1038/s41467-023-38990-9
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Archer, D. B., Eissman, J. M., Mukherjee, S., Lee, M. L., Choi, S., Scollard, P., Trittschuh, E. H., Mez, J. B., Bush, W. S., Kunkle, B. W., Naj, A. C., Gifford, K. A., Cuccaro, M. L., Pericak‐Vance, M. A., Farrer, L. A., Wang, L., Schellenberg, G. D., Mayeux, R. P., … Haines, J. L. (2023). Longitudinal change in memory performance as a strong endophenotype for Alzheimer’s disease. Alzheimer’s & Dementia, 20(2), 1268–1283. Portico. https://doi.org/10.1002/alz.13508
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Eissman, J. M., Archer, D. B., Mukherjee, S., Lee, M. L., Choi, S., Scollard, P., Trittschuh, E. H., Mez, J. B., Bush, W. S., Kunkle, B. W., Naj, A. C., Gifford, K. A., Cuccaro, M. L., Cruchaga, C., Pericak‐Vance, M. A., Farrer, L. A., Wang, L., Schellenberg, G. D., … Mayeux, R. P. (2023). Sex‐specific genetic architecture of late‐life memory performance. Alzheimer’s & Dementia, 20(2), 1250–1267. Portico. https://doi.org/10.1002/alz.13507
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Schreidah, C. M., Reynolds, G. B., Fahmy, L. M., Carvajal, R. D., Vermeer, M. H., Whittaker, S., Pe’er, I., & Geskin, L. J. (2023). Scoping review of genetic databases for rare dermatologic diseases: Opportunity for artificial intelligence and machine learning. JAAD International, 12, 24–31. https://doi.org/10.1016/j.jdin.2023.02.017
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Wang, E., Wang, M., Guo, L., Fullard, J. F., Micallef, C., Bendl, J., Song, W., Ming, C., Huang, Y., Li, Y., Yu, K., Peng, J., Bennett, D. A., De Jager, P. L., Roussos, P., Haroutunian, V., & Zhang, B. (2023). Genome‐wide methylomic regulation of multiscale gene networks in Alzheimer’s disease. Alzheimer’s & Dementia, 19(8), 3472–3495. Portico. https://doi.org/10.1002/alz.12969
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Kun, E., Javan, E. M., Smith, O., Gulamali, F., de la Fuente, J., Flynn, B. I., Vajrala, K., Trutner, Z., Jayakumar, P., Tucker-Drob, E. M., Sohail, M., Singh, T., & Narasimhan, V. M. (2023). The genetic architecture and evolution of the human skeletal form. Science, 381(6655). https://doi.org/10.1126/science.adf8009
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DeWan, A. T., Cahill, M. E., Cornejo-Sanchez, D. M., Li, Y., Dong, Z., Fabiha, T., Sun, H., Wang, G., & Leal, S. M. (2023). Variants in JAZF1 are associated with asthma, type 2 diabetes, and height in the United Kingdom biobank population. Frontiers in Genetics, 14. https://doi.org/10.3389/fgene.2023.1129389
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Chung, J., Sun, X., Schmidt, M. A., Song, Y. E., Grunin, M., Palmer, E. L., Bush, W. S., Naj, A. C., Rajabli, F., Hamilton‐Nelson, K. L., Zhang, X., Leung, Y. Y., Wang, L., Mayeux, R., Schellenberg, G. D., Vance, M. A., Haines, J. L., Farrer, L. A., Kunkle, B. W., & Martin, E. R. (2023). Variants near X‐Chromosome Genes NLGN4X and PTCHD1 are Significantly Associated with Alzheimer’s Disease Risk. Alzheimer’s & Dementia, 19(S1). Portico. https://doi.org/10.1002/alz.067117
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Columbia Affiliation
Dikilitas, O., Sherafati, A., Saadatagah, S., Satterfield, B. A., Kochan, D. C., Anderson, K. C., Chung, W. K., Hebbring, S. J., Salvati, Z. M., Sharp, R. R., Sturm, A. C., Gibbs, R. A., Rowley, R., Venner, E., Linder, J. E., Jones, L. K., Perez, E. F., Peterson, J. F., Jarvik, G. P., … Kullo, I. J. (2023). Familial Hypercholesterolemia in the Electronic Medical Records and Genomics Network: Prevalence, Penetrance, Cardiovascular Risk, and Outcomes After Return of Results. Circulation: Genomic and Precision Medicine, 16(2). https://doi.org/10.1161/circgen.122.003816
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Mavaddat, N., Ficorella, L., Carver, T., Lee, A., Cunningham, A. P., Lush, M., Dennis, J., Tischkowitz, M., Downes, K., Hu, D., Hahnen, E., Schmutzler, R. K., Stockley, T. L., Downs, G. S., Zhang, T., Chiarelli, A. M., Bojesen, S. E., Liu, C., Chung, W. K., … Easton, D. F. (2023). Incorporating Alternative Polygenic Risk Scores into the BOADICEA Breast Cancer Risk Prediction Model. Cancer Epidemiology, Biomarkers & Prevention, 32(3), 422–427. https://doi.org/10.1158/1055-9965.epi-22-0756
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Tshiaba, P. T., Ratman, D. K., Sun, J. M., Tunstall, T. S., Levy, B., Shah, P. S., Weitzel, J. N., Rabinowitz, M., Kumar, A., & Im, K. M. (2023). Integration of a Cross-Ancestry Polygenic Model With Clinical Risk Factors Improves Breast Cancer Risk Stratification. JCO Precision Oncology, 7. https://doi.org/10.1200/po.22.00447
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Chen, F., Wang, X., Jang, S.-K., Quach, B. C., Weissenkampen, J. D., Khunsriraksakul, C., Yang, L., Sauteraud, R., Albert, C. M., Allred, N. D. D., Arnett, D. K., Ashley-Koch, A. E., Barnes, K. C., Barr, R. G., Becker, D. M., Bielak, L. F., Bis, J. C., Blangero, J., Boorgula, M. P., … Liu, D. J. (2023). Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing. Nature Genetics, 55(2), 291–300. https://doi.org/10.1038/s41588-022-01282-x
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Saunders, G. R. B., Wang, X., Chen, F., Jang, S.-K., Liu, M., Wang, C., Gao, S., Jiang, Y., Khunsriraksakul, C., Otto, J. M., Addison, C., Akiyama, M., Albert, C. M., Aliev, F., Alonso, A., Arnett, D. K., Ashley-Koch, A. E., Ashrani, A. A., Barnes, K. C., … Vrieze, S. (2022). Genetic diversity fuels gene discovery for tobacco and alcohol use. Nature, 612(7941), 720–724. https://doi.org/10.1038/s41586-022-05477-4
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Feng, Y.-C. A., Stanaway, I. B., Connolly, J. J., Denny, J. C., Luo, Y., Weng, C., Wei, W.-Q., Weiss, S. T., Karlson, E. W., & Smoller, J. W. (2022). Psychiatric manifestations of rare variation in medically actionable genes: a PheWAS approach. BMC Genomics, 23(1). https://doi.org/10.1186/s12864-022-08600-x
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Kulminski, A. M., Jain‐Washburn, E., Philipp, I., He, L., Loika, Y., Loiko, E., Bagley, O., Ukraintseva, S., Yashin, A., Arbeev, K., Stallard, E., Feitosa, M. F., Schupf, N., Christensen, K., & Culminskaya, I. (2022). APOE ɛ4 allele and TOMM40‐APOC1 variants jointly contribute to survival to older ages. Aging Cell, 21(12). Portico. https://doi.org/10.1111/acel.13730
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Columbia Affiliation
Kurniansyah, N., Goodman, M. O., Kelly, T. N., Elfassy, T., Wiggins, K. L., Bis, J. C., Guo, X., Palmas, W., Taylor, K. D., Lin, H. J., Haessler, J., Gao, Y., Shimbo, D., Smith, J. A., Yu, B., Feofanova, E. V., Smit, R. A. J., Wang, Z., Hwang, S.-J., … Sofer, T. (2022). A multi-ethnic polygenic risk score is associated with hypertension prevalence and progression throughout adulthood. Nature Communications, 13(1). https://doi.org/10.1038/s41467-022-31080-2
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Washington, C., Dapas, M., Biddanda, A., Magnaye, K. M., Aneas, I., Helling, B. A., Szczesny, B., Boorgula, M. P., Taub, M. A., Kenny, E., Mathias, R. A., Barnes, K. C., Campbell, M., Figueiredo, C., Hansel, N. N., Ober, C., Olopade, C. O., Rotimi, C. N., … Ober, C. (2022). African-specific alleles modify risk for asthma at the 17q12-q21 locus in African Americans. Genome Medicine, 14(1). https://doi.org/10.1186/s13073-022-01114-x
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He, K. Y., Kelly, T. N., Wang, H., Liang, J., Zhu, L., Cade, B. E., Assimes, T. L., Becker, L. C., Beitelshees, A. L., Bielak, L. F., Bress, A. P., Brody, J. A., Chang, Y.-P. C., Chang, Y.-C., de Vries, P. S., Duggirala, R., Fox, E. R., Franceschini, N., Furniss, A. L., … Zhu, X. (2022). Rare coding variants in RCN3 are associated with blood pressure. BMC Genomics, 23(1). https://doi.org/10.1186/s12864-022-08356-4
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Hsiao, C. J., Dumeny, L., Bress, A. P., Johnson, D. A., Shimbo, D., Cavallari, L. H., & Mulligan, C. J. (2022). Identification of a SGCD × Discrimination Interaction Effect on Systolic Blood Pressure in African American Adults in the Jackson Heart Study. American Journal of Hypertension, 35(11), 938–947. https://doi.org/10.1093/ajh/hpac098
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