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A re-formulation of generalized linear mixed models to fit family data in genetic association studies.

Frontiers in genetics

Wang T, He P, Ahn KW, Wang X, Ghosh S, Laud P.
PMID: 25873936
Front Genet. 2015 Mar 31;6:120. doi: 10.3389/fgene.2015.00120. eCollection 2015.

The generalized linear mixed model (GLMM) is a useful tool for modeling genetic correlation among family data in genetic association studies. However, when dealing with families of varied sizes and diverse genetic relatedness, the GLMM has a special correlation...

Cite
Wang T, He P, Ahn KW, et al. A re-formulation of generalized linear mixed models to fit family data in genetic association studies. Front Genet. 2015;6:120doi: 10.3389/fgene.2015.00120.
Wang, T., He, P., Ahn, K. W., Wang, X., Ghosh, S., & Laud, P. (2015). A re-formulation of generalized linear mixed models to fit family data in genetic association studies. Frontiers in genetics, 6120. https://doi.org/10.3389/fgene.2015.00120
Wang, Tao, et al. "A re-formulation of generalized linear mixed models to fit family data in genetic association studies." Frontiers in genetics vol. 6 (2015): 120. doi: https://doi.org/10.3389/fgene.2015.00120
Wang T, He P, Ahn KW, Wang X, Ghosh S, Laud P. A re-formulation of generalized linear mixed models to fit family data in genetic association studies. Front Genet. 2015 Mar 31;6:120. doi: 10.3389/fgene.2015.00120. eCollection 2015. PMID: 25873936; PMCID: PMC4379931.
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Confirmation of novel type 1 diabetes risk loci in families.

Diabetologia

Cooper JD, Howson JM, Smyth D, Walker NM, Stevens H, Yang JH, She JX, Eisenbarth GS, Rewers M, Todd JA, Akolkar B, Concannon P, Erlich HA, Julier C, Morahan G, Nerup J, Nierras C, Pociot F, Rich SS.
PMID: 22278338
Diabetologia. 2012 Apr;55(4):996-1000. doi: 10.1007/s00125-012-2450-3. Epub 2012 Jan 26.

AIMS/HYPOTHESIS: Over 50 regions of the genome have been associated with type 1 diabetes risk, mainly using large case/control collections. In a recent genome-wide association (GWA) study, 18 novel susceptibility loci were identified and replicated, including replication evidence from...

Cite
Cooper JD, Howson JM, Smyth D, et al. Confirmation of novel type 1 diabetes risk loci in families. Diabetologia. 2012;55(4):996-1000doi: 10.1007/s00125-012-2450-3.
Cooper, J. D., Howson, J. M., Smyth, D., Walker, N. M., Stevens, H., Yang, J. H., She, J. X., Eisenbarth, G. S., Rewers, M., Todd, J. A., Akolkar, B., Concannon, P., Erlich, H. A., Julier, C., Morahan, G., Nerup, J., Nierras, C., Pociot, F., Rich, S. S. (2012). Confirmation of novel type 1 diabetes risk loci in families. Diabetologia, 55(4), 996-1000. https://doi.org/10.1007/s00125-012-2450-3
Cooper, J D, et al. "Confirmation of novel type 1 diabetes risk loci in families." Diabetologia vol. 55,4 (2012): 996-1000. doi: https://doi.org/10.1007/s00125-012-2450-3
Cooper JD, Howson JM, Smyth D, Walker NM, Stevens H, Yang JH, She JX, Eisenbarth GS, Rewers M, Todd JA, Akolkar B, Concannon P, Erlich HA, Julier C, Morahan G, Nerup J, Nierras C, Pociot F, Rich SS. Confirmation of novel type 1 diabetes risk loci in families. Diabetologia. 2012 Apr;55(4):996-1000. doi: 10.1007/s00125-012-2450-3. Epub 2012 Jan 26. PMID: 22278338; PMCID: PMC3296014.
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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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A method for gene-based pathway analysis using genomewide association study summary statistics reveals nine new type 1 diabetes associations.

Genetic epidemiology

Evangelou M, Smyth DJ, Fortune MD, Burren OS, Walker NM, Guo H, Onengut-Gumuscu S, Chen WM, Concannon P, Rich SS, Todd JA, Wallace C.
PMID: 25371288
Genet Epidemiol. 2014 Dec;38(8):661-70. doi: 10.1002/gepi.21853. Epub 2014 Nov 04.

Pathway analysis can complement point-wise single nucleotide polymorphism (SNP) analysis in exploring genomewide association study (GWAS) data to identify specific disease-associated genes that can be candidate causal genes. We propose a straightforward methodology that can be used for conducting...

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Evangelou M, Smyth DJ, Fortune MD, et al. A method for gene-based pathway analysis using genomewide association study summary statistics reveals nine new type 1 diabetes associations. Genet Epidemiol. 2014;38(8):661-70doi: 10.1002/gepi.21853.
Evangelou, M., Smyth, D. J., Fortune, M. D., Burren, O. S., Walker, N. M., Guo, H., Onengut-Gumuscu, S., Chen, W. M., Concannon, P., Rich, S. S., Todd, J. A., & Wallace, C. (2014). A method for gene-based pathway analysis using genomewide association study summary statistics reveals nine new type 1 diabetes associations. Genetic epidemiology, 38(8), 661-70. https://doi.org/10.1002/gepi.21853
Evangelou, Marina, et al. "A method for gene-based pathway analysis using genomewide association study summary statistics reveals nine new type 1 diabetes associations." Genetic epidemiology vol. 38,8 (2014): 661-70. doi: https://doi.org/10.1002/gepi.21853
Evangelou M, Smyth DJ, Fortune MD, Burren OS, Walker NM, Guo H, Onengut-Gumuscu S, Chen WM, Concannon P, Rich SS, Todd JA, Wallace C. A method for gene-based pathway analysis using genomewide association study summary statistics reveals nine new type 1 diabetes associations. Genet Epidemiol. 2014 Dec;38(8):661-70. doi: 10.1002/gepi.21853. Epub 2014 Nov 04. PMID: 25371288; PMCID: PMC4258092.
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Next steps in the identification of gene targets for type 1 diabetes.

Diabetologia

Grant SFA, Wells AD, Rich SS.
PMID: 32797243
Diabetologia. 2020 Nov;63(11):2260-2269. doi: 10.1007/s00125-020-05248-8. Epub 2020 Aug 14.

The purpose of this review is to provide a view of the future of genomics and other omics approaches in defining the genetic contribution to all stages of risk of type 1 diabetes and the functional impact and clinical...

Cite
Grant SFA, Wells AD, Rich SS. Next steps in the identification of gene targets for type 1 diabetes. Diabetologia. 2020;63(11):2260-2269doi: 10.1007/s00125-020-05248-8.
Grant, S. F. A., Wells, A. D., & Rich, S. S. (2020). Next steps in the identification of gene targets for type 1 diabetes. Diabetologia, 63(11), 2260-2269. https://doi.org/10.1007/s00125-020-05248-8
Grant, Struan F A, et al. "Next steps in the identification of gene targets for type 1 diabetes." Diabetologia vol. 63,11 (2020): 2260-2269. doi: https://doi.org/10.1007/s00125-020-05248-8
Grant SFA, Wells AD, Rich SS. Next steps in the identification of gene targets for type 1 diabetes. Diabetologia. 2020 Nov;63(11):2260-2269. doi: 10.1007/s00125-020-05248-8. Epub 2020 Aug 14. PMID: 32797243; PMCID: PMC7527360.
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Differential roles of costimulatory signaling pathways in type 1 diabetes mellitus.

The review of diabetic studies : RDS

Boehm BO, Bluestone JA.
PMID: 17491700
Rev Diabet Stud. 2004;1(4):156-64. doi: 10.1900/RDS.2004.1.156. Epub 2005 Feb 10.

No abstract available.

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Boehm BO, Bluestone JA. Differential roles of costimulatory signaling pathways in type 1 diabetes mellitus. Rev Diabet Stud. 2005;1(4):156-64doi: 10.1900/RDS.2004.1.156.
Boehm, B. O., & Bluestone, J. A. (2004). Differential roles of costimulatory signaling pathways in type 1 diabetes mellitus. The review of diabetic studies : RDS, 1(4), 156-64. https://doi.org/10.1900/RDS.2004.1.156
Boehm, Bernhard O, and Bluestone, Jeffrey A. "Differential roles of costimulatory signaling pathways in type 1 diabetes mellitus." The review of diabetic studies : RDS vol. 1,4 (2004): 156-64. doi: https://doi.org/10.1900/RDS.2004.1.156
Boehm BO, Bluestone JA. Differential roles of costimulatory signaling pathways in type 1 diabetes mellitus. Rev Diabet Stud. 2004;1(4):156-64. doi: 10.1900/RDS.2004.1.156. Epub 2005 Feb 10. PMID: 17491700; PMCID: PMC1783691.
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The Impact of Precision Medicine in Diabetes: A Multidimensional Perspective.

Diabetes care

Rich SS, Cefalu WT.
PMID: 27926886
Diabetes Care. 2016 Nov;39(11):1854-1857. doi: 10.2337/dc16-1833.

No abstract available.

Cite
Rich SS, Cefalu WT. The Impact of Precision Medicine in Diabetes: A Multidimensional Perspective. Diabetes Care. 2016;39(11):1854-1857doi: 10.2337/dc16-1833.
Rich, S. S., & Cefalu, W. T. (2016). The Impact of Precision Medicine in Diabetes: A Multidimensional Perspective. Diabetes care, 39(11), 1854-1857. https://doi.org/10.2337/dc16-1833
Rich, Stephen S, and Cefalu, William T. "The Impact of Precision Medicine in Diabetes: A Multidimensional Perspective." Diabetes care vol. 39,11 (2016): 1854-1857. doi: https://doi.org/10.2337/dc16-1833
Rich SS, Cefalu WT. The Impact of Precision Medicine in Diabetes: A Multidimensional Perspective. Diabetes Care. 2016 Nov;39(11):1854-1857. doi: 10.2337/dc16-1833. PMID: 27926886; PMCID: PMC5079611.
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Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study.

PloS one

de Vries PS, Sabater-Lleal M, Chasman DI, Trompet S, Ahluwalia TS, Teumer A, Kleber ME, Chen MH, Wang JJ, Attia JR, Marioni RE, Steri M, Weng LC, Pool R, Grossmann V, Brody JA, Venturini C, Tanaka T, Rose LM, Oldmeadow C, Mazur J, Basu S, Frånberg M, Yang Q, Ligthart S, Hottenga JJ, Rumley A, Mulas A, de Craen AJ, Grotevendt A, Taylor KD, Delgado GE, Kifley A, Lopez LM, Berentzen TL, Mangino M, Bandinelli S, Morrison AC, Hamsten A, Tofler G, de Maat MP, Draisma HH, Lowe GD, Zoledziewska M, Sattar N, Lackner KJ, Völker U, McKnight B, Huang J, Holliday EG, McEvoy MA, Starr JM, Hysi PG, Hernandez DG, Guan W, Rivadeneira F, McArdle WL, Slagboom PE, Zeller T, Psaty BM, Uitterlinden AG, de Geus EJ, Stott DJ, Binder H, Hofman A, Franco OH, Rotter JI, Ferrucci L, Spector TD, Deary IJ, März W, Greinacher A, Wild PS, Cucca F, Boomsma DI, Watkins H, Tang W, Ridker PM, Jukema JW, Scott RJ, Mitchell P, Hansen T, O'Donnell CJ, Smith NL, Strachan DP, Dehghan A.
PMID: 28107422
PLoS One. 2017 Jan 20;12(1):e0167742. doi: 10.1371/journal.pone.0167742. eCollection 2017.

An increasing number of genome-wide association (GWA) studies are now using the higher resolution 1000 Genomes Project reference panel (1000G) for imputation, with the expectation that 1000G imputation will lead to the discovery of additional associated loci when compared...

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de Vries PS, Sabater-Lleal M, Chasman DI, et al. Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study. PLoS One. 2017;12(1):e0167742doi: 10.1371/journal.pone.0167742.
de Vries, P. S., Sabater-Lleal, M., Chasman, D. I., Trompet, S., Ahluwalia, T. S., Teumer, A., Kleber, M. E., Chen, M. H., Wang, J. J., Attia, J. R., Marioni, R. E., Steri, M., Weng, L. C., Pool, R., Grossmann, V., Brody, J. A., Venturini, C., Tanaka, T., Rose, L. M., Oldmeadow, C., Mazur, J., Basu, S., Frånberg, M., Yang, Q., Ligthart, S., Hottenga, J. J., Rumley, A., Mulas, A., de Craen, A. J., Grotevendt, A., Taylor, K. D., Delgado, G. E., Kifley, A., Lopez, L. M., Berentzen, T. L., Mangino, M., Bandinelli, S., Morrison, A. C., Hamsten, A., Tofler, G., de Maat, M. P., Draisma, H. H., Lowe, G. D., Zoledziewska, M., Sattar, N., Lackner, K. J., Völker, U., McKnight, B., Huang, J., Holliday, E. G., McEvoy, M. A., Starr, J. M., Hysi, P. G., Hernandez, D. G., Guan, W., Rivadeneira, F., McArdle, W. L., Slagboom, P. E., Zeller, T., Psaty, B. M., Uitterlinden, A. G., de Geus, E. J., Stott, D. J., Binder, H., Hofman, A., Franco, O. H., Rotter, J. I., Ferrucci, L., Spector, T. D., Deary, I. J., März, W., Greinacher, A., Wild, P. S., Cucca, F., Boomsma, D. I., Watkins, H., Tang, W., Ridker, P. M., Jukema, J. W., Scott, R. J., Mitchell, P., Hansen, T., O'Donnell, C. J., Smith, N. L., Strachan, D. P., & Dehghan, A. (2017). Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study. PloS one, 12(1), e0167742. https://doi.org/10.1371/journal.pone.0167742
de Vries, Paul S, et al. "Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study." PloS one vol. 12,1 (2017): e0167742. doi: https://doi.org/10.1371/journal.pone.0167742
de Vries PS, Sabater-Lleal M, Chasman DI, Trompet S, Ahluwalia TS, Teumer A, Kleber ME, Chen MH, Wang JJ, Attia JR, Marioni RE, Steri M, Weng LC, Pool R, Grossmann V, Brody JA, Venturini C, Tanaka T, Rose LM, Oldmeadow C, Mazur J, Basu S, Frånberg M, Yang Q, Ligthart S, Hottenga JJ, Rumley A, Mulas A, de Craen AJ, Grotevendt A, Taylor KD, Delgado GE, Kifley A, Lopez LM, Berentzen TL, Mangino M, Bandinelli S, Morrison AC, Hamsten A, Tofler G, de Maat MP, Draisma HH, Lowe GD, Zoledziewska M, Sattar N, Lackner KJ, Völker U, McKnight B, Huang J, Holliday EG, McEvoy MA, Starr JM, Hysi PG, Hernandez DG, Guan W, Rivadeneira F, McArdle WL, Slagboom PE, Zeller T, Psaty BM, Uitterlinden AG, de Geus EJ, Stott DJ, Binder H, Hofman A, Franco OH, Rotter JI, Ferrucci L, Spector TD, Deary IJ, März W, Greinacher A, Wild PS, Cucca F, Boomsma DI, Watkins H, Tang W, Ridker PM, Jukema JW, Scott RJ, Mitchell P, Hansen T, O'Donnell CJ, Smith NL, Strachan DP, Dehghan A. Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study. PLoS One. 2017 Jan 20;12(1):e0167742. doi: 10.1371/journal.pone.0167742. eCollection 2017. PMID: 28107422; PMCID: PMC5249120.
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