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Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets From Blood and the Kidney.

Hypertension (Dallas, Tex. : 1979)

Wain LV, Vaez A, Jansen R, Joehanes R, van der Most PJ, Erzurumluoglu AM, O'Reilly PF, Cabrera CP, Warren HR, Rose LM, Verwoert GC, Hottenga JJ, Strawbridge RJ, Esko T, Arking DE, Hwang SJ, Guo X, Kutalik Z, Trompet S, Shrine N, Teumer A, Ried JS, Bis JC, Smith AV, Amin N, Nolte IM, Lyytikäinen LP, Mahajan A, Wareham NJ, Hofer E, Joshi PK, Kristiansson K, Traglia M, Havulinna AS, Goel A, Nalls MA, Sõber S, Vuckovic D, Luan J, Del Greco M F, Ayers KL, Marrugat J, Ruggiero D, Lopez LM, Niiranen T, Enroth S, Jackson AU, Nelson CP, Huffman JE, Zhang W, Marten J, Gandin I, Harris SE, Zemunik T, Lu Y, Evangelou E, Shah N, de Borst MH, Mangino M, Prins BP, Campbell A, Li-Gao R, Chauhan G, Oldmeadow C, Abecasis G, Abedi M, Barbieri CM, Barnes MR, Batini C, Beilby J, Blake T, Boehnke M, Bottinger EP, Braund PS, Brown M, Brumat M, Campbell H, Chambers JC, Cocca M, Collins F, Connell J, Cordell HJ, Damman JJ, Davies G, de Geus EJ, de Mutsert R, Deelen J, Demirkale Y, Doney ASF, Dörr M, Farrall M, Ferreira T, Frånberg M, Gao H, Giedraitis V, Gieger C, Giulianini F, Gow AJ, Hamsten A, Harris TB, Hofman A, Holliday EG, Hui J, Jarvelin MR, Johansson Å, Johnson AD, Jousilahti P, Jula A, Kähönen M, Kathiresan S, Khaw KT, Kolcic I, Koskinen S, Langenberg C, Larson M, Launer LJ, Lehne B, Liewald DCM, Lin L, Lind L, Mach F, Mamasoula C, Menni C, Mifsud B, Milaneschi Y, Morgan A, Morris AD, Morrison AC, Munson PJ, Nandakumar P, Nguyen QT, Nutile T, Oldehinkel AJ, Oostra BA, Org E, Padmanabhan S, Palotie A, Paré G, Pattie A, Penninx BWJH, Poulter N, Pramstaller PP, Raitakari OT, Ren M, Rice K, Ridker PM, Riese H, Ripatti S, Robino A, Rotter JI, Rudan I, Saba Y, Saint Pierre A, Sala CF, Sarin AP, Schmidt R, Scott R, Seelen MA, Shields DC, Siscovick D, Sorice R, Stanton A, Stott DJ, Sundström J, Swertz M, Taylor KD, Thom S, Tzoulaki I, Tzourio C, Uitterlinden AG, Völker U, Vollenweider P, Wild S, Willemsen G, Wright AF, Yao J, Thériault S, Conen D, Attia J, Sever P, Debette S, Mook-Kanamori DO, Zeggini E, Spector TD, van der Harst P, Palmer CNA, Vergnaud AC, Loos RJF, Polasek O, Starr JM, Girotto G, Hayward C, Kooner JS, Lindgren CM, Vitart V, Samani NJ, Tuomilehto J, Gyllensten U, Knekt P, Deary IJ, Ciullo M, Elosua R, Keavney BD, Hicks AA, Scott RA, Gasparini P, Laan M, Liu Y, Watkins H, Hartman CA, Salomaa V, Toniolo D, Perola M, Wilson JF, Schmidt H, Zhao JH, Lehtimäki T, van Duijn CM, Gudnason V, Psaty BM, Peters A, Rettig R, James A, Jukema JW, Strachan DP, Palmas W, Metspalu A, Ingelsson E, Boomsma DI, Franco OH, Bochud M, Newton-Cheh C, Munroe PB, Elliott P, Chasman DI, Chakravarti A, Knight J, Morris AP, Levy D, Tobin MD, Snieder H, Caulfield MJ, Ehret GB.
PMID: 28739976
Hypertension. 2017 Jul 24; doi: 10.1161/HYPERTENSIONAHA.117.09438. Epub 2017 Jul 24.

Elevated blood pressure is a major risk factor for cardiovascular disease and has a substantial genetic contribution. Genetic variation influencing blood pressure has the potential to identify new pharmacological targets for the treatment of hypertension. To discover additional novel...

Cite
Wain LV, Vaez A, Jansen R, et al. Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets From Blood and the Kidney. Hypertension. 2017;doi: 10.1161/HYPERTENSIONAHA.117.09438.
Wain, L. V., Vaez, A., Jansen, R., Joehanes, R., van der Most, P. J., Erzurumluoglu, A. M., O'Reilly, P. F., Cabrera, C. P., Warren, H. R., Rose, L. M., Verwoert, G. C., Hottenga, J. J., Strawbridge, R. J., Esko, T., Arking, D. E., Hwang, S. J., Guo, X., Kutalik, Z., Trompet, S., Shrine, N., Teumer, A., Ried, J. S., Bis, J. C., Smith, A. V., Amin, N., Nolte, I. M., Lyytikäinen, L. P., Mahajan, A., Wareham, N. J., Hofer, E., Joshi, P. K., Kristiansson, K., Traglia, M., Havulinna, A. S., Goel, A., Nalls, M. A., Sõber, S., Vuckovic, D., Luan, J., Del Greco M, F., Ayers, K. L., Marrugat, J., Ruggiero, D., Lopez, L. M., Niiranen, T., Enroth, S., Jackson, A. U., Nelson, C. P., Huffman, J. E., Zhang, W., Marten, J., Gandin, I., Harris, S. E., Zemunik, T., Lu, Y., Evangelou, E., Shah, N., de Borst, M. H., Mangino, M., Prins, B. P., Campbell, A., Li-Gao, R., Chauhan, G., Oldmeadow, C., Abecasis, G., Abedi, M., Barbieri, C. M., Barnes, M. R., Batini, C., Beilby, J., Blake, T., Boehnke, M., Bottinger, E. P., Braund, P. S., Brown, M., Brumat, M., Campbell, H., Chambers, J. C., Cocca, M., Collins, F., Connell, J., Cordell, H. J., Damman, J. J., Davies, G., de Geus, E. J., de Mutsert, R., Deelen, J., Demirkale, Y., Doney, A. S. F., Dörr, M., Farrall, M., Ferreira, T., Frånberg, M., Gao, H., Giedraitis, V., Gieger, C., Giulianini, F., Gow, A. J., Hamsten, A., Harris, T. B., Hofman, A., Holliday, E. G., Hui, J., Jarvelin, M. R., Johansson, �. �., Johnson, A. D., Jousilahti, P., Jula, A., Kähönen, M., Kathiresan, S., Khaw, K. T., Kolcic, I., Koskinen, S., Langenberg, C., Larson, M., Launer, L. J., Lehne, B., Liewald, D. C. M., Lin, L., Lind, L., Mach, F., Mamasoula, C., Menni, C., Mifsud, B., Milaneschi, Y., Morgan, A., Morris, A. D., Morrison, A. C., Munson, P. J., Nandakumar, P., Nguyen, Q. T., Nutile, T., Oldehinkel, A. J., Oostra, B. A., Org, E., Padmanabhan, S., Palotie, A., Paré, G., Pattie, A., Penninx, B. W. J. H., Poulter, N., Pramstaller, P. P., Raitakari, O. T., Ren, M., Rice, K., Ridker, P. M., Riese, H., Ripatti, S., Robino, A., Rotter, J. I., Rudan, I., Saba, Y., Saint Pierre, A., Sala, C. F., Sarin, A. P., Schmidt, R., Scott, R., Seelen, M. A., Shields, D. C., Siscovick, D., Sorice, R., Stanton, A., Stott, D. J., Sundström, J., Swertz, M., Taylor, K. D., Thom, S., Tzoulaki, I., Tzourio, C., Uitterlinden, A. G., Völker, U., Vollenweider, P., Wild, S., Willemsen, G., Wright, A. F., Yao, J., Thériault, S., Conen, D., Attia, J., Sever, P., Debette, S., Mook-Kanamori, D. O., Zeggini, E., Spector, T. D., van der Harst, P., Palmer, C. N. A., Vergnaud, A. C., Loos, R. J. F., Polasek, O., Starr, J. M., Girotto, G., Hayward, C., Kooner, J. S., Lindgren, C. M., Vitart, V., Samani, N. J., Tuomilehto, J., Gyllensten, U., Knekt, P., Deary, I. J., Ciullo, M., Elosua, R., Keavney, B. D., Hicks, A. A., Scott, R. A., Gasparini, P., Laan, M., Liu, Y., Watkins, H., Hartman, C. A., Salomaa, V., Toniolo, D., Perola, M., Wilson, J. F., Schmidt, H., Zhao, J. H., Lehtimäki, T., van Duijn, C. M., Gudnason, V., Psaty, B. M., Peters, A., Rettig, R., James, A., Jukema, J. W., Strachan, D. P., Palmas, W., Metspalu, A., Ingelsson, E., Boomsma, D. I., Franco, O. H., Bochud, M., Newton-Cheh, C., Munroe, P. B., Elliott, P., Chasman, D. I., Chakravarti, A., Knight, J., Morris, A. P., Levy, D., Tobin, M. D., Snieder, H., Caulfield, M. J., & Ehret, G. B. (2017). Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets From Blood and the Kidney. Hypertension (Dallas, Tex. : 1979), . https://doi.org/10.1161/HYPERTENSIONAHA.117.09438
Wain, Louise V, et al. "Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets From Blood and the Kidney." Hypertension (Dallas, Tex. : 1979) vol. (2017). doi: https://doi.org/10.1161/HYPERTENSIONAHA.117.09438
Wain LV, Vaez A, Jansen R, Joehanes R, van der Most PJ, Erzurumluoglu AM, O'Reilly PF, Cabrera CP, Warren HR, Rose LM, Verwoert GC, Hottenga JJ, Strawbridge RJ, Esko T, Arking DE, Hwang SJ, Guo X, Kutalik Z, Trompet S, Shrine N, Teumer A, Ried JS, Bis JC, Smith AV, Amin N, Nolte IM, Lyytikäinen LP, Mahajan A, Wareham NJ, Hofer E, Joshi PK, Kristiansson K, Traglia M, Havulinna AS, Goel A, Nalls MA, Sõber S, Vuckovic D, Luan J, Del Greco M F, Ayers KL, Marrugat J, Ruggiero D, Lopez LM, Niiranen T, Enroth S, Jackson AU, Nelson CP, Huffman JE, Zhang W, Marten J, Gandin I, Harris SE, Zemunik T, Lu Y, Evangelou E, Shah N, de Borst MH, Mangino M, Prins BP, Campbell A, Li-Gao R, Chauhan G, Oldmeadow C, Abecasis G, Abedi M, Barbieri CM, Barnes MR, Batini C, Beilby J, Blake T, Boehnke M, Bottinger EP, Braund PS, Brown M, Brumat M, Campbell H, Chambers JC, Cocca M, Collins F, Connell J, Cordell HJ, Damman JJ, Davies G, de Geus EJ, de Mutsert R, Deelen J, Demirkale Y, Doney ASF, Dörr M, Farrall M, Ferreira T, Frånberg M, Gao H, Giedraitis V, Gieger C, Giulianini F, Gow AJ, Hamsten A, Harris TB, Hofman A, Holliday EG, Hui J, Jarvelin MR, Johansson Å, Johnson AD, Jousilahti P, Jula A, Kähönen M, Kathiresan S, Khaw KT, Kolcic I, Koskinen S, Langenberg C, Larson M, Launer LJ, Lehne B, Liewald DCM, Lin L, Lind L, Mach F, Mamasoula C, Menni C, Mifsud B, Milaneschi Y, Morgan A, Morris AD, Morrison AC, Munson PJ, Nandakumar P, Nguyen QT, Nutile T, Oldehinkel AJ, Oostra BA, Org E, Padmanabhan S, Palotie A, Paré G, Pattie A, Penninx BWJH, Poulter N, Pramstaller PP, Raitakari OT, Ren M, Rice K, Ridker PM, Riese H, Ripatti S, Robino A, Rotter JI, Rudan I, Saba Y, Saint Pierre A, Sala CF, Sarin AP, Schmidt R, Scott R, Seelen MA, Shields DC, Siscovick D, Sorice R, Stanton A, Stott DJ, Sundström J, Swertz M, Taylor KD, Thom S, Tzoulaki I, Tzourio C, Uitterlinden AG, Völker U, Vollenweider P, Wild S, Willemsen G, Wright AF, Yao J, Thériault S, Conen D, Attia J, Sever P, Debette S, Mook-Kanamori DO, Zeggini E, Spector TD, van der Harst P, Palmer CNA, Vergnaud AC, Loos RJF, Polasek O, Starr JM, Girotto G, Hayward C, Kooner JS, Lindgren CM, Vitart V, Samani NJ, Tuomilehto J, Gyllensten U, Knekt P, Deary IJ, Ciullo M, Elosua R, Keavney BD, Hicks AA, Scott RA, Gasparini P, Laan M, Liu Y, Watkins H, Hartman CA, Salomaa V, Toniolo D, Perola M, Wilson JF, Schmidt H, Zhao JH, Lehtimäki T, van Duijn CM, Gudnason V, Psaty BM, Peters A, Rettig R, James A, Jukema JW, Strachan DP, Palmas W, Metspalu A, Ingelsson E, Boomsma DI, Franco OH, Bochud M, Newton-Cheh C, Munroe PB, Elliott P, Chasman DI, Chakravarti A, Knight J, Morris AP, Levy D, Tobin MD, Snieder H, Caulfield MJ, Ehret GB. Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets From Blood and the Kidney. Hypertension. 2017 Jul 24; doi: 10.1161/HYPERTENSIONAHA.117.09438. Epub 2017 Jul 24. PMID: 28739976; PMCID: PMC5783787.
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Multi-ethnic GWAS and fine-mapping of glycaemic traits identify novel loci in the PAGE Study.

Diabetologia

Downie CG, Dimos SF, Bien SA, Hu Y, Darst BF, Polfus LM, Wang Y, Wojcik GL, Tao R, Raffield LM, Armstrong ND, Polikowsky HG, Below JE, Correa A, Irvin MR, Rasmussen-Torvik LJF, Carlson CS, Phillips LS, Liu S, Pankow JS, Rich SS, Rotter JI, Buyske S, Matise TC, North KE, Avery CL, Haiman CA, Loos RJF, Kooperberg C, Graff M, Highland HM.
PMID: 34951656
Diabetologia. 2021 Dec 24; doi: 10.1007/s00125-021-05635-9. Epub 2021 Dec 24.

AIMS/HYPOTHESIS: Type 2 diabetes is a growing global public health challenge. Investigating quantitative traits, including fasting glucose, fasting insulin and HbAMETHODS: We conducted a GWAS of fasting glucose (n = 52,267), fasting insulin (n = 48,395) and HbARESULTS: Four...

Cite
Downie CG, Dimos SF, Bien SA, et al. Multi-ethnic GWAS and fine-mapping of glycaemic traits identify novel loci in the PAGE Study. Diabetologia. 2021;doi: 10.1007/s00125-021-05635-9.
Downie, C. G., Dimos, S. F., Bien, S. A., Hu, Y., Darst, B. F., Polfus, L. M., Wang, Y., Wojcik, G. L., Tao, R., Raffield, L. M., Armstrong, N. D., Polikowsky, H. G., Below, J. E., Correa, A., Irvin, M. R., Rasmussen-Torvik, L. J. F., Carlson, C. S., Phillips, L. S., Liu, S., Pankow, J. S., Rich, S. S., Rotter, J. I., Buyske, S., Matise, T. C., North, K. E., Avery, C. L., Haiman, C. A., Loos, R. J. F., Kooperberg, C., Graff, M., & Highland, H. M. (2021). Multi-ethnic GWAS and fine-mapping of glycaemic traits identify novel loci in the PAGE Study. Diabetologia, . https://doi.org/10.1007/s00125-021-05635-9
Downie, Carolina G, et al. "Multi-ethnic GWAS and fine-mapping of glycaemic traits identify novel loci in the PAGE Study." Diabetologia vol. (2021). doi: https://doi.org/10.1007/s00125-021-05635-9
Downie CG, Dimos SF, Bien SA, Hu Y, Darst BF, Polfus LM, Wang Y, Wojcik GL, Tao R, Raffield LM, Armstrong ND, Polikowsky HG, Below JE, Correa A, Irvin MR, Rasmussen-Torvik LJF, Carlson CS, Phillips LS, Liu S, Pankow JS, Rich SS, Rotter JI, Buyske S, Matise TC, North KE, Avery CL, Haiman CA, Loos RJF, Kooperberg C, Graff M, Highland HM. Multi-ethnic GWAS and fine-mapping of glycaemic traits identify novel loci in the PAGE Study. Diabetologia. 2021 Dec 24; doi: 10.1007/s00125-021-05635-9. Epub 2021 Dec 24. PMID: 34951656.
Copy Download .nbib Format: NLM
Multi-ethnic GWAS and fine-mapping of glycaemic traits identify novel loci in the PAGE Study.

Diabetologia

Downie CG, Dimos SF, Bien SA, Hu Y, Darst BF, Polfus LM, Wang Y, Wojcik GL, Tao R, Raffield LM, Armstrong ND, Polikowsky HG, Below JE, Correa A, Irvin MR, Rasmussen-Torvik LJF, Carlson CS, Phillips LS, Liu S, Pankow JS, Rich SS, Rotter JI, Buyske S, Matise TC, North KE, Avery CL, Haiman CA, Loos RJF, Kooperberg C, Graff M, Highland HM.
PMID: 34951656
Diabetologia. 2021 Dec 24; doi: 10.1007/s00125-021-05635-9. Epub 2021 Dec 24.

AIMS/HYPOTHESIS: Type 2 diabetes is a growing global public health challenge. Investigating quantitative traits, including fasting glucose, fasting insulin and HbAMETHODS: We conducted a GWAS of fasting glucose (n = 52,267), fasting insulin (n = 48,395) and HbARESULTS: Four...

Cite
Downie CG, Dimos SF, Bien SA, et al. Multi-ethnic GWAS and fine-mapping of glycaemic traits identify novel loci in the PAGE Study. Diabetologia. 2021;doi: 10.1007/s00125-021-05635-9.
Downie, C. G., Dimos, S. F., Bien, S. A., Hu, Y., Darst, B. F., Polfus, L. M., Wang, Y., Wojcik, G. L., Tao, R., Raffield, L. M., Armstrong, N. D., Polikowsky, H. G., Below, J. E., Correa, A., Irvin, M. R., Rasmussen-Torvik, L. J. F., Carlson, C. S., Phillips, L. S., Liu, S., Pankow, J. S., Rich, S. S., Rotter, J. I., Buyske, S., Matise, T. C., North, K. E., Avery, C. L., Haiman, C. A., Loos, R. J. F., Kooperberg, C., Graff, M., & Highland, H. M. (2021). Multi-ethnic GWAS and fine-mapping of glycaemic traits identify novel loci in the PAGE Study. Diabetologia, . https://doi.org/10.1007/s00125-021-05635-9
Downie, Carolina G, et al. "Multi-ethnic GWAS and fine-mapping of glycaemic traits identify novel loci in the PAGE Study." Diabetologia vol. (2021). doi: https://doi.org/10.1007/s00125-021-05635-9
Downie CG, Dimos SF, Bien SA, Hu Y, Darst BF, Polfus LM, Wang Y, Wojcik GL, Tao R, Raffield LM, Armstrong ND, Polikowsky HG, Below JE, Correa A, Irvin MR, Rasmussen-Torvik LJF, Carlson CS, Phillips LS, Liu S, Pankow JS, Rich SS, Rotter JI, Buyske S, Matise TC, North KE, Avery CL, Haiman CA, Loos RJF, Kooperberg C, Graff M, Highland HM. Multi-ethnic GWAS and fine-mapping of glycaemic traits identify novel loci in the PAGE Study. Diabetologia. 2021 Dec 24; doi: 10.1007/s00125-021-05635-9. Epub 2021 Dec 24. PMID: 34951656.
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Comparison of adaptive multiple phenotype association tests using summary statistics in genome-wide association studies.

Human molecular genetics

Sitlani CM, Baldassari AR, Highland HM, Hodonsky CJ, McKnight B, Avery CL.
PMID: 33949650
Hum Mol Genet. 2021 Jul 09;30(15):1371-1383. doi: 10.1093/hmg/ddab126.

Genome-wide association studies have been successful mapping loci for individual phenotypes, but few studies have comprehensively interrogated evidence of shared genetic effects across multiple phenotypes simultaneously. Statistical methods have been proposed for analyzing multiple phenotypes using summary statistics, which...

Cite
Sitlani CM, Baldassari AR, Highland HM, et al. Comparison of adaptive multiple phenotype association tests using summary statistics in genome-wide association studies. Hum Mol Genet. 2021;30(15):1371-1383doi: 10.1093/hmg/ddab126.
Sitlani, C. M., Baldassari, A. R., Highland, H. M., Hodonsky, C. J., McKnight, B., & Avery, C. L. (2021). Comparison of adaptive multiple phenotype association tests using summary statistics in genome-wide association studies. Human molecular genetics, 30(15), 1371-1383. https://doi.org/10.1093/hmg/ddab126
Sitlani, Colleen M, et al. "Comparison of adaptive multiple phenotype association tests using summary statistics in genome-wide association studies." Human molecular genetics vol. 30,15 (2021): 1371-1383. doi: https://doi.org/10.1093/hmg/ddab126
Sitlani CM, Baldassari AR, Highland HM, Hodonsky CJ, McKnight B, Avery CL. Comparison of adaptive multiple phenotype association tests using summary statistics in genome-wide association studies. Hum Mol Genet. 2021 Jul 09;30(15):1371-1383. doi: 10.1093/hmg/ddab126. PMID: 33949650; PMCID: PMC8283209.
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Genetics of Chronic Kidney Disease Stages Across Ancestries: The PAGE Study.

Frontiers in genetics

Lin BM, Nadkarni GN, Tao R, Graff M, Fornage M, Buyske S, Matise TC, Highland HM, Wilkens LR, Carlson CS, Park SL, Setiawan VW, Ambite JL, Heiss G, Boerwinkle E, Lin DY, Morris AP, Loos RJF, Kooperberg C, North KE, Wassel CL, Franceschini N.
PMID: 31178898
Front Genet. 2019 May 24;10:494. doi: 10.3389/fgene.2019.00494. eCollection 2019.

BACKGROUND: Chronic kidney disease (CKD) is common and disproportionally burdens United States ethnic minorities. Its genetic determinants may differ by disease severity and clinical stages. To uncover genetic factors associated CKD severity among high-risk ethnic groups, we performed genome-wide...

Cite
Lin BM, Nadkarni GN, Tao R, et al. Genetics of Chronic Kidney Disease Stages Across Ancestries: The PAGE Study. Front Genet. 2019;10:494doi: 10.3389/fgene.2019.00494.
Lin, B. M., Nadkarni, G. N., Tao, R., Graff, M., Fornage, M., Buyske, S., Matise, T. C., Highland, H. M., Wilkens, L. R., Carlson, C. S., Park, S. L., Setiawan, V. W., Ambite, J. L., Heiss, G., Boerwinkle, E., Lin, D. Y., Morris, A. P., Loos, R. J. F., Kooperberg, C., North, K. E., Wassel, C. L., & Franceschini, N. (2019). Genetics of Chronic Kidney Disease Stages Across Ancestries: The PAGE Study. Frontiers in genetics, 10494. https://doi.org/10.3389/fgene.2019.00494
Lin, Bridget M, et al. "Genetics of Chronic Kidney Disease Stages Across Ancestries: The PAGE Study." Frontiers in genetics vol. 10 (2019): 494. doi: https://doi.org/10.3389/fgene.2019.00494
Lin BM, Nadkarni GN, Tao R, Graff M, Fornage M, Buyske S, Matise TC, Highland HM, Wilkens LR, Carlson CS, Park SL, Setiawan VW, Ambite JL, Heiss G, Boerwinkle E, Lin DY, Morris AP, Loos RJF, Kooperberg C, North KE, Wassel CL, Franceschini N. Genetics of Chronic Kidney Disease Stages Across Ancestries: The PAGE Study. Front Genet. 2019 May 24;10:494. doi: 10.3389/fgene.2019.00494. eCollection 2019. PMID: 31178898; PMCID: PMC6544117.
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Transcriptome-Wide Association Study of Blood Cell Traits in African Ancestry and Hispanic/Latino Populations.

Genes

Wen J, Xie M, Rowland B, Rosen JD, Sun Q, Chen J, Tapia AL, Qian H, Kowalski MH, Shan Y, Young KL, Graff M, Argos M, Avery CL, Bien SA, Buyske S, Yin J, Choquet H, Fornage M, Hodonsky CJ, Jorgenson E, Kooperberg C, Loos RJF, Liu Y, Moon JY, North KE, Rich SS, Rotter JI, Smith JA, Zhao W, Shang L, Wang T, Zhou X, Reiner AP, Raffield LM, Li Y.
PMID: 34356065
Genes (Basel). 2021 Jul 08;12(7). doi: 10.3390/genes12071049.

BACKGROUND: Thousands of genetic variants have been associated with hematological traits, though target genes remain unknown at most loci. Moreover, limited analyses have been conducted in African ancestry and Hispanic/Latino populations; hematological trait associated variants more common in these...

Cite
Wen J, Xie M, Rowland B, et al. Transcriptome-Wide Association Study of Blood Cell Traits in African Ancestry and Hispanic/Latino Populations. Genes (Basel). 2021;12(7)doi: 10.3390/genes12071049.
Wen, J., Xie, M., Rowland, B., Rosen, J. D., Sun, Q., Chen, J., Tapia, A. L., Qian, H., Kowalski, M. H., Shan, Y., Young, K. L., Graff, M., Argos, M., Avery, C. L., Bien, S. A., Buyske, S., Yin, J., Choquet, H., Fornage, M., Hodonsky, C. J., Jorgenson, E., Kooperberg, C., Loos, R. J. F., Liu, Y., Moon, J. Y., North, K. E., Rich, S. S., Rotter, J. I., Smith, J. A., Zhao, W., Shang, L., Wang, T., Zhou, X., Reiner, A. P., Raffield, L. M., & Li, Y. (2021). Transcriptome-Wide Association Study of Blood Cell Traits in African Ancestry and Hispanic/Latino Populations. Genes, 12(7), . https://doi.org/10.3390/genes12071049
Wen, Jia, et al. "Transcriptome-Wide Association Study of Blood Cell Traits in African Ancestry and Hispanic/Latino Populations." Genes vol. 12,7 (2021). doi: https://doi.org/10.3390/genes12071049
Wen J, Xie M, Rowland B, Rosen JD, Sun Q, Chen J, Tapia AL, Qian H, Kowalski MH, Shan Y, Young KL, Graff M, Argos M, Avery CL, Bien SA, Buyske S, Yin J, Choquet H, Fornage M, Hodonsky CJ, Jorgenson E, Kooperberg C, Loos RJF, Liu Y, Moon JY, North KE, Rich SS, Rotter JI, Smith JA, Zhao W, Shang L, Wang T, Zhou X, Reiner AP, Raffield LM, Li Y. Transcriptome-Wide Association Study of Blood Cell Traits in African Ancestry and Hispanic/Latino Populations. Genes (Basel). 2021 Jul 08;12(7). doi: 10.3390/genes12071049. PMID: 34356065; PMCID: PMC8307403.
Copy Download .nbib Format: NLM
Comparison of adaptive multiple phenotype association tests using summary statistics in genome-wide association studies.

Human molecular genetics

Sitlani CM, Baldassari AR, Highland HM, Hodonsky CJ, McKnight B, Avery CL.
PMID: 33949650
Hum Mol Genet. 2021 Jul 09;30(15):1371-1383. doi: 10.1093/hmg/ddab126.

Genome-wide association studies have been successful mapping loci for individual phenotypes, but few studies have comprehensively interrogated evidence of shared genetic effects across multiple phenotypes simultaneously. Statistical methods have been proposed for analyzing multiple phenotypes using summary statistics, which...

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Sitlani CM, Baldassari AR, Highland HM, et al. Comparison of adaptive multiple phenotype association tests using summary statistics in genome-wide association studies. Hum Mol Genet. 2021;30(15):1371-1383doi: 10.1093/hmg/ddab126.
Sitlani, C. M., Baldassari, A. R., Highland, H. M., Hodonsky, C. J., McKnight, B., & Avery, C. L. (2021). Comparison of adaptive multiple phenotype association tests using summary statistics in genome-wide association studies. Human molecular genetics, 30(15), 1371-1383. https://doi.org/10.1093/hmg/ddab126
Sitlani, Colleen M, et al. "Comparison of adaptive multiple phenotype association tests using summary statistics in genome-wide association studies." Human molecular genetics vol. 30,15 (2021): 1371-1383. doi: https://doi.org/10.1093/hmg/ddab126
Sitlani CM, Baldassari AR, Highland HM, Hodonsky CJ, McKnight B, Avery CL. Comparison of adaptive multiple phenotype association tests using summary statistics in genome-wide association studies. Hum Mol Genet. 2021 Jul 09;30(15):1371-1383. doi: 10.1093/hmg/ddab126. PMID: 33949650; PMCID: PMC8283209.
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