11 results on '"Marioni, R.E."'
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2. Genome-wide association study of circulating interleukin 6 levels identifies novel loci
- Author
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Ahluwalia, T.S., Prins, B.P., Abdollahi, M., Armstrong, N.J., Aslibekyan, S., Bain, L., Jefferis, B., Baumert, J., Beekman, M., Ben-Shlomo, Y., Bis, J.C., Mitchell, B.D., Geus, E. de, Delgado, G.E., Marek, D., Eriksson, J., Kajantie, E., Kanoni, S., Kemp, J.P., Lu, C., Marioni, R.E., McLachlan, S., Milaneschi, Y., Nolte, I.M., Petrelis, A.M., Porcu, E., Sabater-Lleal, M., Naderi, E., Seppala, I., Shah, T., Singhal, G., Standl, M., Teumer, A., Thalamuthu, A., Thiering, E., Trompet, S., Ballantyne, C.M., Benjamin, E.J., Casas, J.P., Toben, C., Dedoussis, G., Deelen, J., Durda, P., Engmann, J., Feitosa, M.F., Grallert, H., Hammarstedt, A., Harris, S.E., Homuth, G., Hottenga, J.J., Jalkanen, S., Jamshidi, Y., Jawahar, M.C., Jess, T., Kivimaki, M., Kleber, M.E., Lahti, J., Liu, Y., Marques-Vidal, P., Mellstrom, D., Mooijaart, S.P., Muller-Nurasyid, M., Penninx, B., Revez, J.A., Rossing, P., Raikkonen, K., Sattar, N., Scharnagl, H., Sennblad, B., Silveira, A., St Pourcain, B., Timpson, N.J., Trollor, J., Dongen, J. van, Heemst, D. van, Visvikis-Siest, S., Vollenweider, P., Volker, U., Waldenberger, M., Willemsen, G., Zabaneh, D., Morris, R.W., Arnett, D.K., Baune, B.T., Boomsma, D.I., Chang, Y.P.C., Deary, I.J., Deloukas, P., Eriksson, J.G., Evans, D.M., Ferreira, M.A., Gaunt, T., Gudnason, V., Hamsten, A., Heinrich, J., Hingorani, A., Humphries, S.E., Jukema, J.W., Koenig, W., Kumari, M., Kutalik, Z., Lawlor, D.A., Lehtimaki, T., Marz, W., Mather, K.A., Naitza, S., Nauck, M., Ohlsson, C., Price, J.F., Raitakari, O., Rice, K., Sachdev, P.S., Slagboom, E., Sorensen, T.I.A., Spector, T., Stacey, D., Stathopoulou, M.G., Tanaka, T., Wannamethee, S.G., Whincup, P., Rotter, J.I., Dehghan, A., Boerwinkle, E., Psaty, B.M., Snieder, H., Alizadeh, B.Z., and CHARGE Inflammation Working Grp
- Abstract
Interleukin 6 (IL-6) is a multifunctional cytokine with both pro- and anti-inflammatory properties with a heritability estimate of up to 61%. The circulating levels of IL-6 in blood have been associated with an increased risk of complex disease pathogenesis. We conducted a two-staged, discovery and replication meta genome-wide association study (GWAS) of circulating serum IL-6 levels comprising up to 67428 (n(discovery)=52654 and n(replication)=14774) individuals of European ancestry. The inverse variance fixed effects based discovery meta-analysis, followed by replication led to the identification of two independent loci, IL1F10/IL1RN rs6734238 on chromosome (Chr) 2q14, (P-combined=1.8x10(-11)), HLA-DRB1/DRB5 rs660895 on Chr6p21 (P-combined=1.5x10(-10)) in the combined meta-analyses of all samples. We also replicated the IL6R rs4537545 locus on Chr1q21 (P-combined=1.2x10(-122)). Our study identifies novel loci for circulating IL-6 levels uncovering new immunological and inflammatory pathways that may influence IL-6 pathobiology.
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- 2021
3. Genome-wide association study of circulating interleukin 6 levels identifies novel loci
- Author
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Ahluwalia, T.S., Prins, B.P., Abdollahi, M., Armstrong, N.J., Aslibekyan, S., Bain, L., Jefferis, B., Baumert, J., Beekman, M., Ben-Shlomo, Y., Bis, J.C., Mitchell, B.D., Geus, E. de, Delgado, G.E., Marek, D., Eriksson, J., Kajantie, E., Kanoni, S., Kemp, J.P., Lu, C., Marioni, R.E., McLachlan, S., Milaneschi, Y., Nolte, I.M., Petrelis, A.M., Porcu, E., Sabater-Lleal, M., Naderi, E., Seppala, I., Shah, T., Singhal, G., Standl, M., Teumer, A., Thalamuthu, A., Thiering, E., Trompet, S., Ballantyne, C.M., Benjamin, E.J., Casas, J.P., Toben, C., Dedoussis, G., Deelen, J., Durda, P., Engmann, J., Feitosa, M.F., Grallert, H., Hammarstedt, A., Harris, S.E., Homuth, G., Hottenga, J.J., Jalkanen, S., Jamshidi, Y., Jawahar, M.C., Jess, T., Kivimaki, M., Kleber, M.E., Lahti, J., Liu, Y., Marques-Vidal, P., Mellstrom, D., Mooijaart, S.P., Muller-Nurasyid, M., Penninx, B., Revez, J.A., Rossing, P., Raikkonen, K., Sattar, N., Scharnagl, H., Sennblad, B., Silveira, A., St Pourcain, B., Timpson, N.J., Trollor, J., Dongen, J. van, Heemst, D. van, Visvikis-Siest, S., Vollenweider, P., Volker, U., Waldenberger, M., Willemsen, G., Zabaneh, D., Morris, R.W., Arnett, D.K., Baune, B.T., Boomsma, D.I., Chang, Y.P.C., Deary, I.J., Deloukas, P., Eriksson, J.G., Evans, D.M., Ferreira, M.A., Gaunt, T., Gudnason, V., Hamsten, A., Heinrich, J., Hingorani, A., Humphries, S.E., Jukema, J.W., Koenig, W., Kumari, M., Kutalik, Z., Lawlor, D.A., Lehtimaki, T., Marz, W., Mather, K.A., Naitza, S., Nauck, M., Ohlsson, C., Price, J.F., Raitakari, O., Rice, K., Sachdev, P.S., Slagboom, E., Sorensen, T.I.A., Spector, T., Stacey, D., Stathopoulou, M.G., Tanaka, T., Wannamethee, S.G., Whincup, P., Rotter, J.I., Dehghan, A., Boerwinkle, E., Psaty, B.M., Snieder, H., Alizadeh, B.Z., and CHARGE Inflammation Working Grp
- Abstract
Interleukin 6 (IL-6) is a multifunctional cytokine with both pro- and anti-inflammatory properties with a heritability estimate of up to 61%. The circulating levels of IL-6 in blood have been associated with an increased risk of complex disease pathogenesis. We conducted a two-staged, discovery and replication meta genome-wide association study (GWAS) of circulating serum IL-6 levels comprising up to 67428 (n(discovery)=52654 and n(replication)=14774) individuals of European ancestry. The inverse variance fixed effects based discovery meta-analysis, followed by replication led to the identification of two independent loci, IL1F10/IL1RN rs6734238 on chromosome (Chr) 2q14, (P-combined=1.8x10(-11)), HLA-DRB1/DRB5 rs660895 on Chr6p21 (P-combined=1.5x10(-10)) in the combined meta-analyses of all samples. We also replicated the IL6R rs4537545 locus on Chr1q21 (P-combined=1.2x10(-122)). Our study identifies novel loci for circulating IL-6 levels uncovering new immunological and inflammatory pathways that may influence IL-6 pathobiology.
- Published
- 2021
4. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function (vol 9, 2098, 2018)
- Author
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Davies, G., Lam, M., Harris, S.E., Trampush, J.W., Luciano, M., Hill, W.D., Hagenaars, S.P., Ritchie, S.J., Marioni, R.E., Fawns-Ritchie, C., Liewald, D.C.M., Okely, J.A., Ahola-Olli, A.V., Barnes, C.L.K., Bertram, L., Bis, J.C., Burdick, K.E., Christoforou, A., DeRosse, P., Djurovic, S., Espeseth, T., Giakoumaki, S., Giddaluru, S., Gustavson, D.E., Hayward, C., Hofer, E., Ikram, M.A., Karlsson, R., Knowles, E., Lahti, J., Leber, M., Li, S., Mather, K.A., Melle, I., Morris, D., Oldmeadow, C., Palviainen, T., Payton, A., Pazoki, R., Petrovic, K., Reynolds, C.A., Sargurupremraj, M., Scholz, M., Smith, J.A., Smith, A.V., Terzikhan, N., Thalamuthu, A., Trompet, S., Lee, S.J. van der, Ware, E.B., Windham, B.G., Wright, M.J., Yang, J.Y., Yu, J., Ames, D., Amin, N., Amouyel, P., Andreassen, O.A., Armstrong, N.J., Assareh, A.A., Attia, J.R., Attix, D., Avramopoulos, D., Bennett, D.A., Bohmer, A.C., Boyle, P.A., Brodaty, H., Campbell, H., Cannon, T.D., Cirulli, E.T., Congdon, E., Conley, E.D., Corley, J., Cox, S.R., Dale, A.M., Dehghan, A., Dick, D., Dickinson, D., Eriksson, J.G., Evangelou, E., Faul, J.D., Ford, I., Freimer, N.A., Gao, H., Giegling, I., Gillespie, N.A., Gordon, S.D., Gottesman, R.F., Griswold, M.E., Gudnason, V., Harris, T.B., Hartmann, A.M., Hatzimanolis, A., Heiss, G., Holliday, E.G., Joshi, P.K., Kahonen, M., Kardia, S.L.R., Karlsson, I., Kleineidam, L., Knopman, D.S., Kochan, N.A., Konte, B., Kwok, J.B., Hellard, S. le, Lee, T., Lehtimaki, T., Li, S.C., Lill, C.M., Liu, T., Koini, M., London, E., Longstreth, W.T., Lopez, O.L., Loukola, A., Luck, T., Lundervold, A.J., Lundquist, A., Lyytikainen, L.P., Martin, N.G., Montgomery, G.W., Murray, A.D., Need, A.C., Noordam, R., Nyberg, L., Ollier, W., Papenberg, G., Pattie, A., Polasek, O., Poldrack, R.A., Psaty, B.M., Reppermund, S., Riedel-Heller, S.G., Rose, R.J., Rotter, J.I., Roussos, P., Rovio, S.P., Saba, Y., Sabb, F.W., Sachdev, P.S., Satizabal, C.L., Schmid, M., Scott, R.J., Scult, M.A., Simino, J., Slagboom, P.E., Smyrnis, N., Soumare, A., Stefanis, N.C., Stott, D.J., Straub, R.E., Sundet, K., Taylor, A.M., Taylor, K.D., Tzoulaki, I., Tzourio, C., Uitterlinden, A., Vitart, V., Voineskos, A.N., Kaprio, J., Wagner, M., Wagner, H., Weinhold, L., Wen, K.H., Widen, E., Yang, Q., Zhao, W., Adams, H.H.H., Arking, D.E., Bilder, R.M., Bitsios, P., Boerwinkle, E., Chiba-Falek, O., Corvin, A., Jager, P.L. de, Debette, S., Donohoe, G., Elliott, P., Fitzpatrick, A.L., Gill, M., Glahn, D.C., Hagg, S., Hansell, N.K., Hariri, A.R., Ikram, M.K., Jukema, J.W., Vuoksimaa, E., Keller, M.C., Kremen, W.S., Launer, L., Lindenberger, U., Palotie, A., Pedersen, N.L., Pendleton, N., Porteous, D.J., Raikkonen, K., Raitakari, O.T., Ramirez, A., Reinvang, I., Rudan, I., Rujescu, D., Schmidt, R., Schmidt, H., Schofield, P.W., Schofield, P.R., Starr, J.M., Steen, V.M., Trollor, J.N., Turner, S.T., Duijn, C.M. van, Villringer, A., Weinberger, D.R., Weir, D.R., Wilson, J.F., Malhotra, A., McIntosh, A.M., Gale, C.R., Seshadri, S., Mosley, T.H., Bressler, J., Lencz, T., and Deary, I.J.
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- 2019
5. Author Correction: Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function (Nature Communications, (2018), 9, 1, (2098), 10.1038/s41467-018-04362-x)
- Author
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Davies, G. Lam, M. Harris, S.E. Trampush, J.W. Luciano, M. Hill, W.D. Hagenaars, S.P. Ritchie, S.J. Marioni, R.E. Fawns-Ritchie, C. Liewald, D.C.M. Okely, J.A. Ahola-Olli, A.V. Barnes, C.L.K. Bertram, L. Bis, J.C. Burdick, K.E. Christoforou, A. DeRosse, P. Djurovic, S. Espeseth, T. Giakoumaki, S. Giddaluru, S. Gustavson, D.E. Hayward, C. Hofer, E. Ikram, M.A. Karlsson, R. Knowles, E. Lahti, J. Leber, M. Li, S. Mather, K.A. Melle, I. Morris, D. Oldmeadow, C. Palviainen, T. Payton, A. Pazoki, R. Petrovic, K. Reynolds, C.A. Sargurupremraj, M. Scholz, M. Smith, J.A. Smith, A.V. Terzikhan, N. Thalamuthu, A. Trompet, S. van der Lee, S.J. Ware, E.B. Windham, B.G. Wright, M.J. Yang, J. Yu, J. Ames, D. Amin, N. Amouyel, P. Andreassen, O.A. Armstrong, N.J. Assareh, A.A. Attia, J.R. Attix, D. Avramopoulos, D. Bennett, D.A. Böhmer, A.C. Boyle, P.A. Brodaty, H. Campbell, H. Cannon, T.D. Cirulli, E.T. Congdon, E. Conley, E.D. Corley, J. Cox, S.R. Dale, A.M. Dehghan, A. Dick, D. Dickinson, D. Eriksson, J.G. Evangelou, E. Faul, J.D. Ford, I. Freimer, N.A. Gao, H. Giegling, I. Gillespie, N.A. Gordon, S.D. Gottesman, R.F. Griswold, M.E. Gudnason, V. Harris, T.B. Hartmann, A.M. Hatzimanolis, A. Heiss, G. Holliday, E.G. Joshi, P.K. Kähönen, M. Kardia, S.L.R. Karlsson, I. Kleineidam, L. Knopman, D.S. Kochan, N.A. Konte, B. Kwok, J.B. Le Hellard, S. Lee, T. Lehtimäki, T. Li, S.-C. Lill, C.M. Liu, T. Koini, M. London, E. Longstreth, W.T., Jr. Lopez, O.L. Loukola, A. Luck, T. Lundervold, A.J. Lundquist, A. Lyytikäinen, L.-P. Martin, N.G. Montgomery, G.W. Murray, A.D. Need, A.C. Noordam, R. Nyberg, L. Ollier, W. Papenberg, G. Pattie, A. Polasek, O. Poldrack, R.A. Psaty, B.M. Reppermund, S. Riedel-Heller, S.G. Rose, R.J. Rotter, J.I. Roussos, P. Rovio, S.P. Saba, Y. Sabb, F.W. Sachdev, P.S. Satizabal, C.L. Schmid, M. Scott, R.J. Scult, M.A. Simino, J. Slagboom, P.E. Smyrnis, N. Soumaré, A. Stefanis, N.C. Stott, D.J. Straub, R.E. Sundet, K. Taylor, A.M. Taylor, K.D. Tzoulaki, I. Tzourio, C. Uitterlinden, A. Vitart, V. Voineskos, A.N. Kaprio, J. Wagner, M. Wagner, H. Weinhold, L. Wen, K.H. Widen, E. Yang, Q. Zhao, W. Adams, H.H.H. Arking, D.E. Bilder, R.M. Bitsios, P. Boerwinkle, E. Chiba-Falek, O. Corvin, A. De Jager, P.L. Debette, S. Donohoe, G. Elliott, P. Fitzpatrick, A.L. Gill, M. Glahn, D.C. Hägg, S. Hansell, N.K. Hariri, A.R. Ikram, M.K. Jukema, J.W. Vuoksimaa, E. Keller, M.C. Kremen, W.S. Launer, L. Lindenberger, U. Palotie, A. Pedersen, N.L. Pendleton, N. Porteous, D.J. Räikkönen, K. Raitakari, O.T. Ramirez, A. Reinvang, I. Rudan, I. Dan Rujescu Schmidt, R. Schmidt, H. Schofield, P.W. Schofield, P.R. Starr, J.M. Steen, V.M. Trollor, J.N. Turner, S.T. Van Duijn, C.M. Villringer, A. Weinberger, D.R. Weir, D.R. Wilson, J.F. Malhotra, A. McIntosh, A.M. Gale, C.R. Seshadri, S. Mosley, T.H., Jr. Bressler, J. Lencz, T. Deary, I.J.
- Subjects
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING ,GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries) - Abstract
Christina M. Lill, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this article. This has now been corrected in both the PDF and HTML versions of the article. © 2019, The Author(s).
- Published
- 2019
6. New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475,000 Individuals
- Author
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Chasman, D.I., Herzig, K.-H., Laakso, M., Kraja, A.T., Padmanabhan, S., Amin, N., Marioni, R.E., Giulianini, F., Havulinna, A.S., Asselbergs, F.W., Stafford, J.M., Stirrups, K.E., Fornage, M., Danesh, J., Lindgren, C.M., Bonnycastle, L.L., Zhang, H., Groop, L., Loos, R.J.F., J��rgensen, M.E., Christensen, C.K., CHD Exome+, Rudan, I., Butterworth, A.S., Cook, J.P., Liu, Y., Morrison, A.C., Guo, X., Barnes, M.R., Fava, C., Province, M.A., K��r��j��m��ki, A., Wareham, N.J., Deary, I.J., CHARGE EXOME BP, Edwards, T.L., Poveda, A., Kooperberg, C., Have, C.T., Ingelsson, E., Wain, L.V., Rotter, J.I., Levy, D., Tragante, V., Young, R., Cabrera, C.P., Connell, J.M., Caulfield, M.J., Little, L., Jarvelin, M.-R., Warren, H.R., Zhang, W., Rayner, N.W., Gambaro, G., Munroe, P.B., Ferreira, T., Morris, A.P., Farmaki, A.-E., Smith, A.V., Pedersen, O., Esko, T., Heikki, O., Bork-Jensen, J., Witte, D.R., Drenos, F., Southam, L., Deloukas, P., Franceschini, N., Zeggini, E., Lind, L., Van Der Harst, P., Riaz, M., Rice, K., Grarup, N., Dominiczak, A.F., Vergnaud, A.-C., Hayward, C., Ehret, G.B., Melander, O., Tzoulaki, I., Boerwinkle, E., Evangelou, E., Wilson, J.G., Polasek, O., Harris, S.E., Tuomilehto, J., Franks, P.W., McCarthy, M.I., Skaaby, T., D��rr, M., Poulter, N.R., Salomaa, V., Finland, Willer, C.J., Saleheen, D., The UK Biobank Cardio-Metabolic Traits Consortium Blood Pressure Working Group, Lakka, T.A., Newton-Cheh, C., Kooner, J.S., Exome BP, Samani, N.J., Van Der Meer, P., Kardia, S.L.R., Gao, H., Mei, H., Surendran, P., Van Duijn, C.M., Richard, M.A., Gudnason, V., Smith, J.A., Boehnke, M., Varga, T.V., Hansen, T., M��gi, R., Chambers, J.C., Mahajan, A., Rauramaa, R., Tuomi, T., Yiorkas, A.M., Psaty, B.M., Dedoussis, G., Brandslund, I., Sever, P.J., Mohlke, K.L., Weiss, S., Liu, C., Langenberg, C., De Boer, R.A., Blakemore, A.I.F., Grove, M.L., Malerba, G., Karpe, F., Lu, Y., Joehanes, R., Stan����kov��, A., Manning, A.K., Sim, X., Ridker, P.M., Starr, J.M., Hallmans, G., Elliott, P., Howson, J.M.M., GoT2D:T2DGenes Consortia, Palmer, C.N.A., Linneberg, A., Palmas, W., Menni, C., and Giri, A.
- Abstract
Background - Genome-wide association studies have recently identified >400 loci that harbor DNA sequence variants that influence blood pressure (BP). Our earlier studies identified and validated 56 single nucleotide variants (SNVs) associated with BP from meta-analyses of exome chip genotype data. An additional 100 variants yielded suggestive evidence of association. Methods and Results - Here, we augment the sample with 140 886 European individuals from the UK Biobank, in whom 77 of the 100 suggestive SNVs were available for association analysis with systolic BP or diastolic BP or pulse pressure. We performed 2 meta-analyses, one in individuals of European, South Asian, African, and Hispanic descent (pan-ancestry, ���475 000), and the other in the subset of individuals of European descent (���423 000). Twenty-one SNVs were genome-wide significant (P
- Published
- 2017
- Full Text
- View/download PDF
7. Genome-wide association study of cognitive functions and educational attainment in UK Biobank (N=112 151)
- Author
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Davies, G., Marioni, R.E., Liewald, D.C., Hill, W.D., Hagenaars, S.P., Harris, S.E., Ritchie, S.J., Luciano, M., Fawns-Ritchie, C., Lyall, D., Cullen, B., Cox, S.R., Hayward, C., Porteous, D.J., Evans, J., McIntosh, A.M., Gallacher, J., Craddock, N., Pell, J.P., Smith, D.J., Gale, C.R., and Deary, I.J.
- Abstract
People’s differences in cognitive functions are partly heritable and are associated with important life outcomes. Previous genome-wide association (GWA) studies of cognitive functions have found evidence for polygenic effects yet, to date, there are few replicated genetic associations. Here we use data from the UK Biobank sample to investigate the genetic contributions to variation in tests of three cognitive functions and in educational attainment. GWA analyses were performed for verbal–numerical reasoning (N=36 035), memory (N=112 067), reaction time (N=111 483) and for the attainment of a college or a university degree (N=111 114). We report genome-wide significant single-nucleotide polymorphism (SNP)-based associations in 20 genomic regions, and significant gene-based findings in 46 regions. These include findings in theATXN2, CYP2DG, APBA1 and CADM2 genes. We report replication of these hits in published GWA studies of cognitive function, educational attainment and childhood intelligence. There is also replication, in UK Biobank, of SNP hits reported previously in GWA studies of educational attainment and cognitive function. GCTA-GREML analyses, using common SNPs (minor allele frequency>0.01), indicated significant SNP-based heritabilities of 31%(s.e.m.=1.8%) for verbal–numerical reasoning, 5% (s.e.m.=0.6%) for memory, 11% (s.e.m.=0.6%) for reaction time and 21% (s.e.m.=0.6%) for educational attainment. Polygenic score analyses indicate that up to 5% of the variance in cognitive test scores can be predicted in an independent cohort. The genomic regions identified include several novel loci, some of which have been associated with intracranial volume, neurodegeneration, Alzheimer’s disease and schizophrenia.
- Published
- 2016
8. Shared genetic aetiology between cognitive functions and physical and mental health in UK Biobank (N = 112 151) and 24 GWAS consortia
- Author
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Hagenaars, S.P., Harris, S.E., Davies, G., Hill, W.D., Liewald, D.C.M., Ritchie, S. J., Marioni, R.E., Fawns-Ritchie, C., Cullen, B., Malik, R., Worrall, B.B., Sudlow, C.L.M., Wardlaw, J.M., Gallacher, J., Pell, J., McIntosh, A.M., Smith, D.J., Gale, C.R., and Deary, I.J.
- Abstract
The causes of the known associations between poorer cognitive function and many adverse neuropsychiatric outcomes, poorer physical health, and earlier death remain unknown. We used linkage disequilibrium regression and polygenic profile scoring to test for shared genetic aetiology between cognitive functions and neuropsychiatric disorders and physical health. Using information provided by many published genome-wide association study consortia, we created polygenic profile scores for 24 vascular-metabolic, neuropsychiatric, physiological-anthropometric, and cognitive traits in the participants of UK Biobank, a very large population-based sample (N = 112 151). Pleiotropy between cognitive and health traits was quantified by deriving genetic correlations using summary genome-wide association study statistics applied to the method of linkage disequilibrium regression. Substantial and significant genetic correlations were observed between cognitive test scores in the UK Biobank sample and many of the mental and physical health-related traits and disorders assessed here. In addition, highly significant associations were observed between the cognitive test scores in the UK Biobank sample and many polygenic profile scores, including coronary artery disease, stroke, Alzheimer's disease, schizophrenia, autism, major depressive disorder, BMI, intracranial volume, infant head circumference, and childhood cognitive ability. Where disease diagnosis was available for UK Biobank participants we were able to show that these results were not confounded by those who had the relevant disease. These findings indicate that a substantial level of pleiotropy exists between cognitive abilities and many human mental and physical health disorders and traits and that it can be used to predict phenotypic variance across samples.
- Published
- 2016
9. Improving Phenotypic Prediction by Combining Genetic and Epigenetic Associations
- Author
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Shah, S., Bonder, M.J., Marioni, R.E., Zhu, Z.H., McRae, A.F., Zhernakova, A., Harris, S.E., Liewald, D., Henders, A.K., Mendelson, M.M., Liu, C.Y., Joehanes, R., Liang, L.M., Levy, D., Martin, N.G., Starr, J.M., Wijmenga, C., Wray, N.R., Yang, J., Montgomery, G.W., Franke, L., Deary, I.J., Visscher, P.M., and BIOS Consortium
- Published
- 2015
10. Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53 949)
- Author
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Davies, G., Armstrong, N., Bis, J.C., Bressler, J., Chouraki, V., Giddaluru, S., Hofer, E., Ibrahim-Verbaas, C.A., Kirin, M., Lahti, J., Lee, S.J. van der, Hellard, S. le, Liu, T., Marioni, R.E., Oldmeadow, C., Postmus, I., Smith, A.V., Smith, J.A., Thalamuthu, A., Thomson, R., Vitart, V., Wang, J., Yu, L., Zgaga, L., Zhao, W., Boxall, R., Harris, S.E., Hill, W.D., Liewald, D.C., Luciano, M., Adams, H., Ames, D., Amin, N., Amouyel, P., Assareh, A.A., Au, R., Becker, J.T., Beiser, A., Berr, C., Bertram, L., Boerwinkle, E., Buckley, B.M., Campbell, H., Corley, J., Jager, P.L. de, Dufouil, C., Eriksson, J.G., Espeseth, T., Faul, J.D., Ford, I., Gottesman, R.F., Griswold, M.E., Gudnason, V., Harris, T.B., Heiss, G., Hofman, A., Holliday, E.G., Huffman, J., Kardia, S.L.R., Kochan, N., Knopman, D.S., Kwok, J.B., Lambert, J.C., Lee, T., Li, G., Li, S.C., Loitfelder, M., Lopez, O.L., Lundervold, A.J., Lundqvist, A., Mather, K.A., Mirza, S.S., Nyberg, L., Oostra, B.A., Palotie, A., Papenberg, G., Pattie, A., Petrovic, K., Polasek, O., Psaty, B.M., Redmond, P., Reppermund, S., Rotter, J.I., Schmidt, H., Schuur, M., Schofield, P.W., Scott, R.J., Steen, V.M., Stott, D.J., Swieten, J.C. van, Taylor, K.D., Trollor, J., Trompet, S., Uitterlinden, A.G., Weinstein, G., Widen, E., Windham, B.G., Jukema, J.W., Wright, A.F., Wright, M.J., Yang, Q., Amieva, H., Attia, J.R., Bennett, D.A., Brodaty, H., Craen, A.J.M. de, Hayward, C., Ikram, M.A., Lindenberger, U., Nilsson, L.G., Porteous, D.J., Raikkonen, K., Reinvang, I., Rudan, I., Sachdev, P.S., Schmidt, R., Schofield, P.R., Srikanth, V., Starr, J.M., Turner, S.T., Weir, D.R., Wilson, J.F., Duijn, C. van, Launer, L., Fitzpatrick, A.L., Seshadri, S., Jr, T.H.M., Deary, I.J., and Generation Scotland
- Subjects
Medisinske fag: 700::Basale medisinske, odontologiske og veterinærmedisinske fag: 710::Medisinsk genetikk: 714 [VDP] ,Social sciences: 200::Psychology: 260::Cognitive psychology: 267 [VDP] ,Midical sciences: 700::Basic medical, dental and veterinary sciences: 710::Medical genetics: 714 [VDP] ,Samfunnsvitenskap: 200::Psykologi: 260::Kognitiv psykologi: 267 [VDP] - Abstract
General cognitive function is substantially heritable across the human life course from adolescence to old age. We investigated the genetic contribution to variation in this important, health- and well-being-related trait in middle-aged and older adults. We conducted a meta-analysis of genome-wide association studies of 31 cohorts (N=53 949) in which the participants had undertaken multiple, diverse cognitive tests. A general cognitive function phenotype was tested for, and created in each cohort by principal component analysis. We report 13 genome-wide significant single-nucleotide polymorphism (SNP) associations in three genomic regions, 6q16.1, 14q12 and 19q13.32 (best SNP and closest gene, respectively: rs10457441, P=3.93 × 10−9, MIR2113; rs17522122, P=2.55 × 10−8, AKAP6; rs10119, P=5.67 × 10−9, APOE/TOMM40). We report one gene-based significant association with the HMGN1 gene located on chromosome 21 (P=1 × 10−6). These genes have previously been associated with neuropsychiatric phenotypes. Meta-analysis results are consistent with a polygenic model of inheritance. To estimate SNP-based heritability, the genome-wide complex trait analysis procedure was applied to two large cohorts, the Atherosclerosis Risk in Communities Study (N=6617) and the Health and Retirement Study (N=5976). The proportion of phenotypic variation accounted for by all genotyped common SNPs was 29% (s.e.=5%) and 28% (s.e.=7%), respectively. Using polygenic prediction analysis, ~1.2% of the variance in general cognitive function was predicted in the Generation Scotland cohort (N=5487; P=1.5 × 10−17). In hypothesis-driven tests, there was significant association between general cognitive function and four genes previously associated with Alzheimer’s disease: TOMM40, APOE, ABCG1 and MEF2C. publishedVersion
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- 2015
11. Improving Phenotypic Prediction by Combining Genetic and Epigenetic Associations
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Shah, S., Bonder, M.J., Marioni, R.E., Zhu, Z., McRae, A.F., Zhernakova, A., Harris, S.E., Liewald, D.C.M., Henders, A.K., Mendelson, M.M., Liu, C., Joehanes, R., Liang, L., Boomsma, D.I., Pool, R., van Dongen, J., Hottenga, J.J., Levy, D., Martin, N.G., Starr, J.M., Wijmenga, C., Wray, N.R., Yang, J., Montgomery, G.W., Franke, L., Deary, I.J., Visscher, P.M., Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, and EMGO+ - Mental Health
- Subjects
Netherlands Twin Register (NTR) - Abstract
We tested whether DNA-methylation profiles account for inter-individual variation in body mass index (BMI) and height and whether they predict these phenotypes over and above genetic factors. Genetic predictors were derived from published summary results from the largest genome-wide association studies on BMI (n ∼ 350,000) and height (n ∼ 250,000) to date. We derived methylation predictors by estimating probe-trait effects in discovery samples and tested them in external samples. Methylation profiles associated with BMI in older individuals from the Lothian Birth Cohorts (LBCs, n = 1,366) explained 4.9% of the variation in BMI in Dutch adults from the LifeLines DEEP study (n = 750) but did not account for any BMI variation in adolescents from the Brisbane Systems Genetic Study (BSGS, n = 403). Methylation profiles based on the Dutch sample explained 4.9% and 3.6% of the variation in BMI in the LBCs and BSGS, respectively. Methylation profiles predicted BMI independently of genetic profiles in an additive manner: 7%, 8%, and 14% of variance of BMI in the LBCs were explained by the methylation predictor, the genetic predictor, and a model containing both, respectively. The corresponding percentages for LifeLines DEEP were 5%, 9%, and 13%, respectively, suggesting that the methylation profiles represent environmental effects. The differential effects of the BMI methylation profiles by age support previous observations of age modulation of genetic contributions. In contrast, methylation profiles accounted for almost no variation in height, consistent with a mainly genetic contribution to inter-individual variation. The BMI results suggest that combining genetic and epigenetic information might have greater utility for complex-trait prediction.
- Published
- 2015
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