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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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Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders : Evidence through univariate and multivariate mega-analysis including 6420 participants from the ENIGMA MDD working group.

Molecular psychiatry

Opel N, Thalamuthu A, Milaneschi Y, Grotegerd D, Flint C, Leenings R, Goltermann J, Richter M, Hahn T, Woditsch G, Berger K, Hermesdorf M, McIntosh A, Whalley HC, Harris MA, MacMaster FP, Walter H, Veer IM, Frodl T, Carballedo A, Krug A, Nenadic I, Kircher T, Aleman A, Groenewold NA, Stein DJ, Soares JC, Zunta-Soares GB, Mwangi B, Wu MJ, Walter M, Li M, Harrison BJ, Davey CG, Cullen KR, Klimes-Dougan B, Mueller BA, Sämann PG, Penninx B, Nawijn L, Veltman DJ, Aftanas L, Brak IV, Filimonova EA, Osipov EA, Reneman L, Schrantee A, Grabe HJ, Van der Auwera S, Wittfeld K, Hosten N, Völzke H, Sim K, Gotlib IH, Sacchet MD, Lagopoulos J, Hatton SN, Hickie I, Pozzi E, Thompson PM, Jahanshad N, Schmaal L, Baune BT, Dannlowski U.
PMID: 32467648
Mol Psychiatry. 2021 Sep;26(9):4839-4852. doi: 10.1038/s41380-020-0774-9. Epub 2020 May 28.

Emerging evidence suggests that obesity impacts brain physiology at multiple levels. Here we aimed to clarify the relationship between obesity and brain structure using structural MRI (n = 6420) and genetic data (n = 3907) from the ENIGMA Major...

Cite
Opel N, Thalamuthu A, Milaneschi Y, et al. Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders : Evidence through univariate and multivariate mega-analysis including 6420 participants from the ENIGMA MDD working group. Mol Psychiatry. 2020;26(9):4839-4852doi: 10.1038/s41380-020-0774-9.
Opel, N., Thalamuthu, A., Milaneschi, Y., Grotegerd, D., Flint, C., Leenings, R., Goltermann, J., Richter, M., Hahn, T., Woditsch, G., Berger, K., Hermesdorf, M., McIntosh, A., Whalley, H. C., Harris, M. A., MacMaster, F. P., Walter, H., Veer, I. M., Frodl, T., Carballedo, A., Krug, A., Nenadic, I., Kircher, T., Aleman, A., Groenewold, N. A., Stein, D. J., Soares, J. C., Zunta-Soares, G. B., Mwangi, B., Wu, M. J., Walter, M., Li, M., Harrison, B. J., Davey, C. G., Cullen, K. R., Klimes-Dougan, B., Mueller, B. A., Sämann, P. G., Penninx, B., Nawijn, L., Veltman, D. J., Aftanas, L., Brak, I. V., Filimonova, E. A., Osipov, E. A., Reneman, L., Schrantee, A., Grabe, H. J., Van der Auwera, S., Wittfeld, K., Hosten, N., Völzke, H., Sim, K., Gotlib, I. H., Sacchet, M. D., Lagopoulos, J., Hatton, S. N., Hickie, I., Pozzi, E., Thompson, P. M., Jahanshad, N., Schmaal, L., Baune, B. T., & Dannlowski, U. (2021). Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders : Evidence through univariate and multivariate mega-analysis including 6420 participants from the ENIGMA MDD working group. Molecular psychiatry, 26(9), 4839-4852. https://doi.org/10.1038/s41380-020-0774-9
Opel, Nils, et al. "Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders : Evidence through univariate and multivariate mega-analysis including 6420 participants from the ENIGMA MDD working group." Molecular psychiatry vol. 26,9 (2021): 4839-4852. doi: https://doi.org/10.1038/s41380-020-0774-9
Opel N, Thalamuthu A, Milaneschi Y, Grotegerd D, Flint C, Leenings R, Goltermann J, Richter M, Hahn T, Woditsch G, Berger K, Hermesdorf M, McIntosh A, Whalley HC, Harris MA, MacMaster FP, Walter H, Veer IM, Frodl T, Carballedo A, Krug A, Nenadic I, Kircher T, Aleman A, Groenewold NA, Stein DJ, Soares JC, Zunta-Soares GB, Mwangi B, Wu MJ, Walter M, Li M, Harrison BJ, Davey CG, Cullen KR, Klimes-Dougan B, Mueller BA, Sämann PG, Penninx B, Nawijn L, Veltman DJ, Aftanas L, Brak IV, Filimonova EA, Osipov EA, Reneman L, Schrantee A, Grabe HJ, Van der Auwera S, Wittfeld K, Hosten N, Völzke H, Sim K, Gotlib IH, Sacchet MD, Lagopoulos J, Hatton SN, Hickie I, Pozzi E, Thompson PM, Jahanshad N, Schmaal L, Baune BT, Dannlowski U. Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders : Evidence through univariate and multivariate mega-analysis including 6420 participants from the ENIGMA MDD working group. Mol Psychiatry. 2021 Sep;26(9):4839-4852. doi: 10.1038/s41380-020-0774-9. Epub 2020 May 28. PMID: 32467648; PMCID: PMC8589644.
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Genetic meta-analysis of twin birth weight shows high genetic correlation with singleton birth weight.

Human molecular genetics

Beck JJ, Pool R, van de Weijer M, Chen X, Krapohl E, Gordon SD, Nygaard M, Debrabant B, Palviainen T, van der Zee MD, Baselmans B, Finnicum CT, Yi L, Lundström S, van Beijsterveldt T, Christiansen L, Heikkilä K, Kittelsrud J, Loukola A, Ollikainen M, Christensen K, Martin NG, Plomin R, Nivard M, Bartels M, Dolan C, Willemsen G, de Geus E, Almqvist C, Magnusson PKE, Mbarek H, Ehli EA, Boomsma DI, Hottenga JJ.
PMID: 33955455
Hum Mol Genet. 2021 Sep 15;30(19):1894-1905. doi: 10.1093/hmg/ddab121.

Birth weight (BW) is an important predictor of newborn survival and health and has associations with many adult health outcomes, including cardiometabolic disorders, autoimmune diseases and mental health. On average, twins have a lower BW than singletons as a...

Cite
Beck JJ, Pool R, van de Weijer M, et al. Genetic meta-analysis of twin birth weight shows high genetic correlation with singleton birth weight. Hum Mol Genet. 2021;30(19):1894-1905doi: 10.1093/hmg/ddab121.
Beck, J. J., Pool, R., van de Weijer, M., Chen, X., Krapohl, E., Gordon, S. D., Nygaard, M., Debrabant, B., Palviainen, T., van der Zee, M. D., Baselmans, B., Finnicum, C. T., Yi, L., Lundström, S., van Beijsterveldt, T., Christiansen, L., Heikkilä, K., Kittelsrud, J., Loukola, A., Ollikainen, M., Christensen, K., Martin, N. G., Plomin, R., Nivard, M., Bartels, M., Dolan, C., Willemsen, G., de Geus, E., Almqvist, C., Magnusson, P. K. E., Mbarek, H., Ehli, E. A., Boomsma, D. I., & Hottenga, J. J. (2021). Genetic meta-analysis of twin birth weight shows high genetic correlation with singleton birth weight. Human molecular genetics, 30(19), 1894-1905. https://doi.org/10.1093/hmg/ddab121
Beck, Jeffrey J, et al. "Genetic meta-analysis of twin birth weight shows high genetic correlation with singleton birth weight." Human molecular genetics vol. 30,19 (2021): 1894-1905. doi: https://doi.org/10.1093/hmg/ddab121
Beck JJ, Pool R, van de Weijer M, Chen X, Krapohl E, Gordon SD, Nygaard M, Debrabant B, Palviainen T, van der Zee MD, Baselmans B, Finnicum CT, Yi L, Lundström S, van Beijsterveldt T, Christiansen L, Heikkilä K, Kittelsrud J, Loukola A, Ollikainen M, Christensen K, Martin NG, Plomin R, Nivard M, Bartels M, Dolan C, Willemsen G, de Geus E, Almqvist C, Magnusson PKE, Mbarek H, Ehli EA, Boomsma DI, Hottenga JJ. Genetic meta-analysis of twin birth weight shows high genetic correlation with singleton birth weight. Hum Mol Genet. 2021 Sep 15;30(19):1894-1905. doi: 10.1093/hmg/ddab121. PMID: 33955455; PMCID: PMC8444448.
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Effects of copy number variations on brain structure and risk for psychiatric illness: Large-scale studies from the ENIGMA working groups on CNVs.

Human brain mapping

Sønderby IE, Ching CRK, Thomopoulos SI, van der Meer D, Sun D, Villalon-Reina JE, Agartz I, Amunts K, Arango C, Armstrong NJ, Ayesa-Arriola R, Bakker G, Bassett AS, Boomsma DI, Bülow R, Butcher NJ, Calhoun VD, Caspers S, Chow EWC, Cichon S, Ciufolini S, Craig MC, Crespo-Facorro B, Cunningham AC, Dale AM, Dazzan P, de Zubicaray GI, Djurovic S, Doherty JL, Donohoe G, Draganski B, Durdle CA, Ehrlich S, Emanuel BS, Espeseth T, Fisher SE, Ge T, Glahn DC, Grabe HJ, Gur RE, Gutman BA, Haavik J, Håberg AK, Hansen LA, Hashimoto R, Hibar DP, Holmes AJ, Hottenga JJ, Hulshoff Pol HE, Jalbrzikowski M, Knowles EEM, Kushan L, Linden DEJ, Liu J, Lundervold AJ, Martin-Brevet S, Martínez K, Mather KA, Mathias SR, McDonald-McGinn DM, McRae AF, Medland SE, Moberget T, Modenato C, Monereo Sánchez J, Moreau CA, Mühleisen TW, Paus T, Pausova Z, Prieto C, Ragothaman A, Reinbold CS, Reis Marques T, Repetto GM, Reymond A, Roalf DR, Rodriguez-Herreros B, Rucker JJ, Sachdev PS, Schmitt JE, Schofield PR, Silva AI, Stefansson H, Stein DJ, Tamnes CK, Tordesillas-Gutiérrez D, Ulfarsson MO, Vajdi A, van 't Ent D, van den Bree MBM, Vassos E, Vázquez-Bourgon J, Vila-Rodriguez F, Walters GB, Wen W, Westlye LT, Wittfeld K, Zackai EH, Stefánsson K, Jacquemont S, Thompson PM, Bearden CE, Andreassen OA.
PMID: 33615640
Hum Brain Mapp. 2022 Jan;43(1):300-328. doi: 10.1002/hbm.25354. Epub 2021 Feb 21.

The Enhancing NeuroImaging Genetics through Meta-Analysis copy number variant (ENIGMA-CNV) and 22q11.2 Deletion Syndrome Working Groups (22q-ENIGMA WGs) were created to gain insight into the involvement of genetic factors in human brain development and related cognitive, psychiatric and behavioral...

Cite
Sønderby IE, Ching CRK, Thomopoulos SI, et al. Effects of copy number variations on brain structure and risk for psychiatric illness: Large-scale studies from the ENIGMA working groups on CNVs. Hum Brain Mapp. 2021;43(1):300-328doi: 10.1002/hbm.25354.
Sønderby, I. E., Ching, C. R. K., Thomopoulos, S. I., van der Meer, D., Sun, D., Villalon-Reina, J. E., Agartz, I., Amunts, K., Arango, C., Armstrong, N. J., Ayesa-Arriola, R., Bakker, G., Bassett, A. S., Boomsma, D. I., Bülow, R., Butcher, N. J., Calhoun, V. D., Caspers, S., Chow, E. W. C., Cichon, S., Ciufolini, S., Craig, M. C., Crespo-Facorro, B., Cunningham, A. C., Dale, A. M., Dazzan, P., de Zubicaray, G. I., Djurovic, S., Doherty, J. L., Donohoe, G., Draganski, B., Durdle, C. A., Ehrlich, S., Emanuel, B. S., Espeseth, T., Fisher, S. E., Ge, T., Glahn, D. C., Grabe, H. J., Gur, R. E., Gutman, B. A., Haavik, J., Håberg, A. K., Hansen, L. A., Hashimoto, R., Hibar, D. P., Holmes, A. J., Hottenga, J. J., Hulshoff Pol, H. E., Jalbrzikowski, M., Knowles, E. E. M., Kushan, L., Linden, D. E. J., Liu, J., Lundervold, A. J., Martin-Brevet, S., Martínez, K., Mather, K. A., Mathias, S. R., McDonald-McGinn, D. M., McRae, A. F., Medland, S. E., Moberget, T., Modenato, C., Monereo Sánchez, J., Moreau, C. A., Mühleisen, T. W., Paus, T., Pausova, Z., Prieto, C., Ragothaman, A., Reinbold, C. S., Reis Marques, T., Repetto, G. M., Reymond, A., Roalf, D. R., Rodriguez-Herreros, B., Rucker, J. J., Sachdev, P. S., Schmitt, J. E., Schofield, P. R., Silva, A. I., Stefansson, H., Stein, D. J., Tamnes, C. K., Tordesillas-Gutiérrez, D., Ulfarsson, M. O., Vajdi, A., van 't Ent, D., van den Bree, M. B. M., Vassos, E., Vázquez-Bourgon, J., Vila-Rodriguez, F., Walters, G. B., Wen, W., Westlye, L. T., Wittfeld, K., Zackai, E. H., Stefánsson, K., Jacquemont, S., Thompson, P. M., Bearden, C. E., Andreassen, O. A. (2022). Effects of copy number variations on brain structure and risk for psychiatric illness: Large-scale studies from the ENIGMA working groups on CNVs. Human brain mapping, 43(1), 300-328. https://doi.org/10.1002/hbm.25354
Sønderby, Ida E, et al. "Effects of copy number variations on brain structure and risk for psychiatric illness: Large-scale studies from the ENIGMA working groups on CNVs." Human brain mapping vol. 43,1 (2022): 300-328. doi: https://doi.org/10.1002/hbm.25354
Sønderby IE, Ching CRK, Thomopoulos SI, van der Meer D, Sun D, Villalon-Reina JE, Agartz I, Amunts K, Arango C, Armstrong NJ, Ayesa-Arriola R, Bakker G, Bassett AS, Boomsma DI, Bülow R, Butcher NJ, Calhoun VD, Caspers S, Chow EWC, Cichon S, Ciufolini S, Craig MC, Crespo-Facorro B, Cunningham AC, Dale AM, Dazzan P, de Zubicaray GI, Djurovic S, Doherty JL, Donohoe G, Draganski B, Durdle CA, Ehrlich S, Emanuel BS, Espeseth T, Fisher SE, Ge T, Glahn DC, Grabe HJ, Gur RE, Gutman BA, Haavik J, Håberg AK, Hansen LA, Hashimoto R, Hibar DP, Holmes AJ, Hottenga JJ, Hulshoff Pol HE, Jalbrzikowski M, Knowles EEM, Kushan L, Linden DEJ, Liu J, Lundervold AJ, Martin-Brevet S, Martínez K, Mather KA, Mathias SR, McDonald-McGinn DM, McRae AF, Medland SE, Moberget T, Modenato C, Monereo Sánchez J, Moreau CA, Mühleisen TW, Paus T, Pausova Z, Prieto C, Ragothaman A, Reinbold CS, Reis Marques T, Repetto GM, Reymond A, Roalf DR, Rodriguez-Herreros B, Rucker JJ, Sachdev PS, Schmitt JE, Schofield PR, Silva AI, Stefansson H, Stein DJ, Tamnes CK, Tordesillas-Gutiérrez D, Ulfarsson MO, Vajdi A, van 't Ent D, van den Bree MBM, Vassos E, Vázquez-Bourgon J, Vila-Rodriguez F, Walters GB, Wen W, Westlye LT, Wittfeld K, Zackai EH, Stefánsson K, Jacquemont S, Thompson PM, Bearden CE, Andreassen OA. Effects of copy number variations on brain structure and risk for psychiatric illness: Large-scale studies from the ENIGMA working groups on CNVs. Hum Brain Mapp. 2022 Jan;43(1):300-328. doi: 10.1002/hbm.25354. Epub 2021 Feb 21. PMID: 33615640; PMCID: PMC8675420.
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Heritability and Genome-Wide Association Studies for Hair Color in a Dutch Twin Family Based Sample.

Genes

Lin BD, Mbarek H, Willemsen G, Dolan CV, Fedko IO, Abdellaoui A, de Geus EJ, Boomsma DI, Hottenga JJ.
PMID: 26184321
Genes (Basel). 2015 Jul 13;6(3):559-76. doi: 10.3390/genes6030559.

Hair color is one of the most visible and heritable traits in humans. Here, we estimated heritability by structural equation modeling (N = 20,142), and performed a genome wide association (GWA) analysis (N = 7091) and a GCTA study...

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Lin BD, Mbarek H, Willemsen G, et al. Heritability and Genome-Wide Association Studies for Hair Color in a Dutch Twin Family Based Sample. Genes (Basel). 2015;6(3):559-76doi: 10.3390/genes6030559.
Lin, B. D., Mbarek, H., Willemsen, G., Dolan, C. V., Fedko, I. O., Abdellaoui, A., de Geus, E. J., Boomsma, D. I., & Hottenga, J. J. (2015). Heritability and Genome-Wide Association Studies for Hair Color in a Dutch Twin Family Based Sample. Genes, 6(3), 559-76. https://doi.org/10.3390/genes6030559
Lin, Bochao Danae, et al. "Heritability and Genome-Wide Association Studies for Hair Color in a Dutch Twin Family Based Sample." Genes vol. 6,3 (2015): 559-76. doi: https://doi.org/10.3390/genes6030559
Lin BD, Mbarek H, Willemsen G, Dolan CV, Fedko IO, Abdellaoui A, de Geus EJ, Boomsma DI, Hottenga JJ. Heritability and Genome-Wide Association Studies for Hair Color in a Dutch Twin Family Based Sample. Genes (Basel). 2015 Jul 13;6(3):559-76. doi: 10.3390/genes6030559. PMID: 26184321; PMCID: PMC4584317.
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Genetic analysis for a shared biological basis between migraine and coronary artery disease.

Neurology. Genetics

Winsvold BS, Nelson CP, Malik R, Gormley P, Anttila V, Vander Heiden J, Elliott KS, Jacobsen LM, Palta P, Amin N, de Vries B, Hämäläinen E, Freilinger T, Ikram MA, Kessler T, Koiranen M, Ligthart L, McMahon G, Pedersen LM, Willenborg C, Won HH, Olesen J, Artto V, Assimes TL, Blankenberg S, Boomsma DI, Cherkas L, Davey Smith G, Epstein SE, Erdmann J, Ferrari MD, Göbel H, Hall AS, Jarvelin MR, Kallela M, Kaprio J, Kathiresan S, Lehtimäki T, McPherson R, März W, Nyholt DR, O'Donnell CJ, Quaye L, Rader DJ, Raitakari O, Roberts R, Schunkert H, Schürks M, Stewart AF, Terwindt GM, Thorsteinsdottir U, van den Maagdenberg AM, van Duijn C, Wessman M, Kurth T, Kubisch C, Dichgans M, Chasman DI, Cotsapas C, Zwart JA, Samani NJ, Palotie A.
PMID: 27066539
Neurol Genet. 2015 Jul 02;1(1):e10. doi: 10.1212/NXG.0000000000000010. eCollection 2015 Jun.

OBJECTIVE: To apply genetic analysis of genome-wide association data to study the extent and nature of a shared biological basis between migraine and coronary artery disease (CAD).METHODS: Four separate methods for cross-phenotype genetic analysis were applied on data from...

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Winsvold BS, Nelson CP, Malik R, et al. Genetic analysis for a shared biological basis between migraine and coronary artery disease. Neurol Genet. 2015;1(1):e10doi: 10.1212/NXG.0000000000000010.
Winsvold, B. S., Nelson, C. P., Malik, R., Gormley, P., Anttila, V., Vander Heiden, J., Elliott, K. S., Jacobsen, L. M., Palta, P., Amin, N., de Vries, B., Hämäläinen, E., Freilinger, T., Ikram, M. A., Kessler, T., Koiranen, M., Ligthart, L., McMahon, G., Pedersen, L. M., Willenborg, C., Won, H. H., Olesen, J., Artto, V., Assimes, T. L., Blankenberg, S., Boomsma, D. I., Cherkas, L., Davey Smith, G., Epstein, S. E., Erdmann, J., Ferrari, M. D., Göbel, H., Hall, A. S., Jarvelin, M. R., Kallela, M., Kaprio, J., Kathiresan, S., Lehtimäki, T., McPherson, R., März, W., Nyholt, D. R., O'Donnell, C. J., Quaye, L., Rader, D. J., Raitakari, O., Roberts, R., Schunkert, H., Schürks, M., Stewart, A. F., Terwindt, G. M., Thorsteinsdottir, U., van den Maagdenberg, A. M., van Duijn, C., Wessman, M., Kurth, T., Kubisch, C., Dichgans, M., Chasman, D. I., Cotsapas, C., Zwart, J. A., Samani, N. J., Palotie, A. (2015). Genetic analysis for a shared biological basis between migraine and coronary artery disease. Neurology. Genetics, 1(1), e10. https://doi.org/10.1212/NXG.0000000000000010
Winsvold, Bendik S, et al. "Genetic analysis for a shared biological basis between migraine and coronary artery disease." Neurology. Genetics vol. 1,1 (2015): e10. doi: https://doi.org/10.1212/NXG.0000000000000010
Winsvold BS, Nelson CP, Malik R, Gormley P, Anttila V, Vander Heiden J, Elliott KS, Jacobsen LM, Palta P, Amin N, de Vries B, Hämäläinen E, Freilinger T, Ikram MA, Kessler T, Koiranen M, Ligthart L, McMahon G, Pedersen LM, Willenborg C, Won HH, Olesen J, Artto V, Assimes TL, Blankenberg S, Boomsma DI, Cherkas L, Davey Smith G, Epstein SE, Erdmann J, Ferrari MD, Göbel H, Hall AS, Jarvelin MR, Kallela M, Kaprio J, Kathiresan S, Lehtimäki T, McPherson R, März W, Nyholt DR, O'Donnell CJ, Quaye L, Rader DJ, Raitakari O, Roberts R, Schunkert H, Schürks M, Stewart AF, Terwindt GM, Thorsteinsdottir U, van den Maagdenberg AM, van Duijn C, Wessman M, Kurth T, Kubisch C, Dichgans M, Chasman DI, Cotsapas C, Zwart JA, Samani NJ, Palotie A. Genetic analysis for a shared biological basis between migraine and coronary artery disease. Neurol Genet. 2015 Jul 02;1(1):e10. doi: 10.1212/NXG.0000000000000010. eCollection 2015 Jun. PMID: 27066539; PMCID: PMC4821079.
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Genetic meta-analysis of twin birth weight shows high genetic correlation with singleton birth weight.

Human molecular genetics

Beck JJ, Pool R, van de Weijer M, Chen X, Krapohl E, Gordon SD, Nygaard M, Debrabant B, Palviainen T, van der Zee MD, Baselmans B, Finnicum CT, Yi L, Lundström S, van Beijsterveldt T, Christiansen L, Heikkilä K, Kittelsrud J, Loukola A, Ollikainen M, Christensen K, Martin NG, Plomin R, Nivard M, Bartels M, Dolan C, Willemsen G, de Geus E, Almqvist C, Magnusson PKE, Mbarek H, Ehli EA, Boomsma DI, Hottenga JJ.
PMID: 33955455
Hum Mol Genet. 2021 Sep 15;30(19):1894-1905. doi: 10.1093/hmg/ddab121.

Birth weight (BW) is an important predictor of newborn survival and health and has associations with many adult health outcomes, including cardiometabolic disorders, autoimmune diseases and mental health. On average, twins have a lower BW than singletons as a...

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Beck JJ, Pool R, van de Weijer M, et al. Genetic meta-analysis of twin birth weight shows high genetic correlation with singleton birth weight. Hum Mol Genet. 2021;30(19):1894-1905doi: 10.1093/hmg/ddab121.
Beck, J. J., Pool, R., van de Weijer, M., Chen, X., Krapohl, E., Gordon, S. D., Nygaard, M., Debrabant, B., Palviainen, T., van der Zee, M. D., Baselmans, B., Finnicum, C. T., Yi, L., Lundström, S., van Beijsterveldt, T., Christiansen, L., Heikkilä, K., Kittelsrud, J., Loukola, A., Ollikainen, M., Christensen, K., Martin, N. G., Plomin, R., Nivard, M., Bartels, M., Dolan, C., Willemsen, G., de Geus, E., Almqvist, C., Magnusson, P. K. E., Mbarek, H., Ehli, E. A., Boomsma, D. I., & Hottenga, J. J. (2021). Genetic meta-analysis of twin birth weight shows high genetic correlation with singleton birth weight. Human molecular genetics, 30(19), 1894-1905. https://doi.org/10.1093/hmg/ddab121
Beck, Jeffrey J, et al. "Genetic meta-analysis of twin birth weight shows high genetic correlation with singleton birth weight." Human molecular genetics vol. 30,19 (2021): 1894-1905. doi: https://doi.org/10.1093/hmg/ddab121
Beck JJ, Pool R, van de Weijer M, Chen X, Krapohl E, Gordon SD, Nygaard M, Debrabant B, Palviainen T, van der Zee MD, Baselmans B, Finnicum CT, Yi L, Lundström S, van Beijsterveldt T, Christiansen L, Heikkilä K, Kittelsrud J, Loukola A, Ollikainen M, Christensen K, Martin NG, Plomin R, Nivard M, Bartels M, Dolan C, Willemsen G, de Geus E, Almqvist C, Magnusson PKE, Mbarek H, Ehli EA, Boomsma DI, Hottenga JJ. Genetic meta-analysis of twin birth weight shows high genetic correlation with singleton birth weight. Hum Mol Genet. 2021 Sep 15;30(19):1894-1905. doi: 10.1093/hmg/ddab121. PMID: 33955455; PMCID: PMC8444448.
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