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36 results on '"Liewald, DCM"'

1. Genetic variants for head size share genes and pathways with cancer

Author

Knol, MJ, Poot, RA, Evans, TE, Satizabal, CL, Mishra, A, Sargurupremraj, M, van der Auwera, S, Duperron, MG, Jian, X, Hostettler, IC, van Dam-Nolen, DHK, Lamballais, S, Pawlak, MA, Lewis, CE, Carrion-Castillo, A, van Erp, TGM, Reinbold, CS, Shin, J, Scholz, M, Håberg, AK, Kämpe, A, Li, GHY, Avinun, R, Atkins, JR, Hsu, FC, Amod, AR, Lam, M, Tsuchida, A, Teunissen, MWA, Aygün, N, Patel, Y, Liang, D, Beiser, AS, Beyer, F, Bis, JC, Bos, D, Bryan, RN, Bülow, R, Caspers, S, Catheline, G, Cecil, CAM, Dalvie, S, Dartigues, JF, DeCarli, C, Enlund-Cerullo, M, Ford, JM, Franke, B, Freedman, BI, Friedrich, N, Green, MJ ; https://orcid.org/0000-0002-9361-4874, Haworth, S, Helmer, C, Hoffmann, P, Homuth, G, Ikram, MK, Jack, CR, Jahanshad, N, Jockwitz, C, Kamatani, Y, Knodt, AR, Li, S, Lim, K, Longstreth, WT, Macciardi, F, Amouyel, P, Arfanakis, K, Aribisala, BS, Bastin, ME, Chauhan, G, Chen, C, Cheng, CY, de Jager, PL, Deary, IJ, Fleischman, DA, Gottesman, RF, Gudnason, V, Hilal, S, Hofer, E, Janowitz, D, Jukema, JW, Liewald, DCM, Lopez, LM, Lopez, O, Luciano, M, Martinez, O, Niessen, WJ, Nyquist, P, Rotter, JI, Rundek, T, Sacco, RL, Schmidt, H, Tiemeier, H, Trompet, S, van der Grond, J, Völzke, H, Wardlaw, JM, Yanek, L, Yang, J, Agartz, I, Alhusaini, S, Quide, Yann ; https://orcid.org/0000-0002-8569-7139, Reppermund, Simone ; https://orcid.org/0000-0003-4785-0224, Carr, Vaughan ; https://orcid.org/0000-0002-8907-5804, Brodaty, Henry ; https://orcid.org/0000-0001-9487-6617, Wen, Wei ; https://orcid.org/0000-0003-2753-3870, Knol, MJ, Poot, RA, Evans, TE, Satizabal, CL, Mishra, A, Sargurupremraj, M, van der Auwera, S, Duperron, MG, Jian, X, Hostettler, IC, van Dam-Nolen, DHK, Lamballais, S, Pawlak, MA, Lewis, CE, Carrion-Castillo, A, van Erp, TGM, Reinbold, CS, Shin, J, Scholz, M, Håberg, AK, Kämpe, A, Li, GHY, Avinun, R, Atkins, JR, Hsu, FC, Amod, AR, Lam, M, Tsuchida, A, Teunissen, MWA, Aygün, N, Patel, Y, Liang, D, Beiser, AS, Beyer, F, Bis, JC, Bos, D, Bryan, RN, Bülow, R, Caspers, S, Catheline, G, Cecil, CAM, Dalvie, S, Dartigues, JF, DeCarli, C, Enlund-Cerullo, M, Ford, JM, Franke, B, Freedman, BI, Friedrich, N, Green, MJ ; https://orcid.org/0000-0002-9361-4874, Haworth, S, Helmer, C, Hoffmann, P, Homuth, G, Ikram, MK, Jack, CR, Jahanshad, N, Jockwitz, C, Kamatani, Y, Knodt, AR, Li, S, Lim, K, Longstreth, WT, Macciardi, F, Amouyel, P, Arfanakis, K, Aribisala, BS, Bastin, ME, Chauhan, G, Chen, C, Cheng, CY, de Jager, PL, Deary, IJ, Fleischman, DA, Gottesman, RF, Gudnason, V, Hilal, S, Hofer, E, Janowitz, D, Jukema, JW, Liewald, DCM, Lopez, LM, Lopez, O, Luciano, M, Martinez, O, Niessen, WJ, Nyquist, P, Rotter, JI, Rundek, T, Sacco, RL, Schmidt, H, Tiemeier, H, Trompet, S, van der Grond, J, Völzke, H, Wardlaw, JM, Yanek, L, Yang, J, Agartz, I, Alhusaini, S, Quide, Yann ; https://orcid.org/0000-0002-8569-7139, Reppermund, Simone ; https://orcid.org/0000-0003-4785-0224, Carr, Vaughan ; https://orcid.org/0000-0002-8907-5804, Brodaty, Henry ; https://orcid.org/0000-0001-9487-6617, and Wen, Wei ; https://orcid.org/0000-0003-2753-3870

Abstract

The size of the human head is highly heritable, but genetic drivers of its variation within the general population remain unmapped. We perform a genome-wide association study on head size (N = 80,890) and identify 67 genetic loci, of which 50 are novel. Neuroimaging studies show that 17 variants affect specific brain areas, but most have widespread effects. Gene set enrichment is observed for various cancers and the p53, Wnt, and ErbB signaling pathways. Genes harboring lead variants are enriched for macrocephaly syndrome genes (37-fold) and high-fidelity cancer genes (9-fold), which is not seen for human height variants. Head size variants are also near genes preferentially expressed in intermediate progenitor cells, neural cells linked to evolutionary brain expansion. Our results indicate that genes regulating early brain and cranial growth incline to neoplasia later in life, irrespective of height. This warrants investigation of clinical implications of the link between head size and cancer.

Published
2024

2. Association of common genetic variants with brain microbleeds: A genome-wide association study

Author

Knol, Maria, Lu, Difei, Traylor, M, Adams, Hieab, Romero, JR, Smith, AV, Fornage, M, Hofer, E, Liu, Jun, Hostettler, IC, Luciano, M, Trompet, S, Giese, A K, Hilal, S, van den Akker, EB, Vojinovic, Dina, Li, S, Sigurdsson, S, van der Lee, Sven, Jack, CR, Wilson, D, Yilmaz, Pinar, Satizabal, CL, Liewald, DCM, van der Grond, J, Chen, C, Saba, Y, van der Lugt, Aad, Bastin, ME, Windham, BG, Cheng, CY (Ching-Yu), Pirpamer, L, Kantarci, K, Himali, JJ, Yang, Q, Morris, Z, Beiser, AS, Tozer, DJ, Vernooij, Meike, Amin, Najaf, Beekman, M, Koh, JY, Stott, DJM, Houlden, H, Schmidt, R, Gottesman, RF, MacKinnon, AD, DeCarli, C, Gudnason, V, Deary, IJ, Duijn, Cornelia, Slagboom, PE, Wong, TY, Rost, NS, Jukema, JW, Mosley, TH, Jr, Werring, DJ, Schmidt, H, Wardlaw, JM, Ikram, Arfan, Seshadri, S, Launer, LJ, Markus, HS, Knol, Maria, Lu, Difei, Traylor, M, Adams, Hieab, Romero, JR, Smith, AV, Fornage, M, Hofer, E, Liu, Jun, Hostettler, IC, Luciano, M, Trompet, S, Giese, A K, Hilal, S, van den Akker, EB, Vojinovic, Dina, Li, S, Sigurdsson, S, van der Lee, Sven, Jack, CR, Wilson, D, Yilmaz, Pinar, Satizabal, CL, Liewald, DCM, van der Grond, J, Chen, C, Saba, Y, van der Lugt, Aad, Bastin, ME, Windham, BG, Cheng, CY (Ching-Yu), Pirpamer, L, Kantarci, K, Himali, JJ, Yang, Q, Morris, Z, Beiser, AS, Tozer, DJ, Vernooij, Meike, Amin, Najaf, Beekman, M, Koh, JY, Stott, DJM, Houlden, H, Schmidt, R, Gottesman, RF, MacKinnon, AD, DeCarli, C, Gudnason, V, Deary, IJ, Duijn, Cornelia, Slagboom, PE, Wong, TY, Rost, NS, Jukema, JW, Mosley, TH, Jr, Werring, DJ, Schmidt, H, Wardlaw, JM, Ikram, Arfan, Seshadri, S, Launer, LJ, and Markus, HS

Published
2020

3. Genetic analysis identifies molecular systems and biological pathways associated with household income

Author

David Hill, W, Davies, N, Ritchie, S, Skene, N, Bryois, J, Bell, S, Angelantonio, ED, Roberts, D, Xueyi, S, Davies, G, Liewald, DCM, Porteous, D, Hayward, C, Butterworth, A, McIntosh, A, Gale, C, and Deary, I

Abstract

Socio-economic position (SEP) is a multi-dimensional construct reflecting (and influencing) multiple socio-cultural, physical, and environmental factors. Previous genome-wide association studies (GWAS) using household income as a marker of SEP have shown that common genetic variants account for 11% of its variation. Here, in a sample of 286,301 participants from UK Biobank, we identified 30 independent genome-wide significant loci, 29 novel, that are associated with household income. Using a recently-developed method to meta-analyze data that leverages power from genetically-correlated traits, we identified an additional 120 income-associated loci. These loci showed clear evidence of functional enrichment, with transcriptional differences identified across multiple cortical tissues, in addition to links with GABAergic and serotonergic neurotransmission. We identified neurogenesis and the components of the synapse as candidate biological systems that are linked with income. By combining our GWAS on income with data from eQTL studies and chromatin interactions, 24 genes were prioritized for follow up, 18 of which were previously associated with cognitive ability. Using Mendelian Randomization, we identified cognitive ability as one of the causal, partly-heritable phenotypes that bridges the gap between molecular genetic inheritance and phenotypic consequence in terms of income differences. Significant differences between genetic correlations indicated that, the genetic variants associated with income are related to better mental health than those linked to educational attainment (another commonly-used marker of SEP). Finally, we were able to predict 2.5% of income differences using genetic data alone in an independent sample. These results are important for understanding the observed socioeconomic inequalities in Great Britain today.

Published
2019

4. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function

Author

Davies, G, Lam, M, Harris, SE, Trampush, JW, Luciano, M, Hill, WD, Hagenaars, SP, Ritchie, SJ, Marioni, RE, Fawns-Ritchie, C, Liewald, DCM, Okely, JA, Ahola-Olli, AV, Barnes, CLK, Bertram, L, Bis, JC, Burdick, KE, Christoforou, A, Derosse, P, Djurovic, S, Espeseth, T, Giakoumaki, S, Giddaluru, S, Gustavson, DE, Hayward, C, Hofer, E, Ikram, MA, Karlsson, R, Knowles, E, Lahti, J, Leber, M, Li, S, Mather, KA, Melle, I, Morris, D, Oldmeadow, C, Palviainen, T, Payton, A, Pazoki, R, Petrovic, K, Reynolds, CA, Sargurupremraj, M, Scholz, M, Smith, JA, Smith, AV, Terzikhan, N, Thalamuthu, A, Trompet, S, Van Der Lee, SJ, Ware, EB, Windham, BG, Wright, MJ, Yang, J, Yu, J, Ames, D, Amin, N, Amouyel, P, Andreassen, OA, Armstrong, NJ, Assareh, AA, Attia, JR, Attix, D, Avramopoulos, D, Bennett, DA, Böhmer, AC, Boyle, PA, and Brodaty, H

Abstract

© 2018 The Author(s). General cognitive function is a prominent and relatively stable human trait that is associated with many important life outcomes. We combine cognitive and genetic data from the CHARGE and COGENT consortia, and UK Biobank (total N = 300,486; age 16-102) and find 148 genome-wide significant independent loci (P < 5 × 10-8) associated with general cognitive function. Within the novel genetic loci are variants associated with neurodegenerative and neurodevelopmental disorders, physical and psychiatric illnesses, and brain structure. Gene-based analyses find 709 genes associated with general cognitive function. Expression levels across the cortex are associated with general cognitive function. Using polygenic scores, up to 4.3% of variance in general cognitive function is predicted in independent samples. We detect significant genetic overlap between general cognitive function, reaction time, and many health variables including eyesight, hypertension, and longevity. In conclusion we identify novel genetic loci and pathways contributing to the heritability of general cognitive function.

Published
2018
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5. Publisher Correction: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits (vol 50, pg 1412, 2018)

Author

Evangelou, E, Warren, HR, Mosen-Ansorena, D, Mifsud, B, Pazoki, R, Gao, H, Ntritsos, G, Dimou, N, Cabrera, CP, Karaman, I, Fu, LN, Evangelou, M, Witkowska, K, Tzanis, E, Hellwege, JN, Giri, A, Edwards, DRV, Sun, YV, Cho, K, Gaziano, JM, Wilson, PWF, Tsao, PS, Kovesdy, CP, Esko, T, Magi, R, Milani, L, Almgren, P, Boutin, T, Debette, S, Ding, J, Giulianini, F, Holliday, EG, Jackson, AU, Li-Gao, R, Lin, W-Y, Luan, J, Mangino, M, Oldmeadow, C, Prins, BP, Qian, Y, Sargurupremraj, M, Shah, N, Surendran, P, Theriault, S, Verweij, N, Willems, SM, Zhao, J-H, Amouyel, P, Connell, J, De Mutsert, R, Doney, ASF, Farrall, M, Menni, C, Morris, AD, Noordam, R, Pare, G, Poulter, NR, Shields, DC, Stanton, A, Thom, S, Abecasis, G, Amin, N, Arking, DE, Ayers, KL, Barbieri, CM, Batini, C, Bis, JC, Blake, T, Bochud, M, Boehnke, M, Boerwinkle, E, Boomsma, DI, Bottinger, EP, Braund, PS, Brumat, M, Campbell, A, Campbell, H, Chakravarti, A, Chambers, JC, Chauhan, G, Ciullo, M, Cocca, M, Collins, F, Cordell, HJ, Davies, G, De Borst, MH, De Geus, EJ, Deary, IJ, Deelen, J, Del Greco, FM, Demirkale, CY, Dorr, M, Ehret, GB, Elosua, R, Enroth, S, Erzurumluoglu, AM, Ferreira, T, Franberg, M, Franco, OH, Gandin, I, Gasparini, P, Giedraitis, V, Gieger, C, Girotto, G, Goel, A, Gow, AJ, Gudnason, V, Guo, X, Gyllensten, U, Hamsten, A, Harris, TB, Harris, SE, Hartman, CA, Havulinna, AS, Hicks, AA, Hofer, E, Hofman, A, Hottenga, J-J, Huffman, JE, Hwang, S-J, Ingelsson, E, James, A, Jansen, R, Jarvelin, M-R, Joehanes, R, Johansson, A, Johnson, AD, Joshi, PK, Jousilahti, P, Jukema, JW, Jula, A, Kahonen, M, Kathiresan, S, Keavney, BD, Khaw, K-T, Knekt, P, Knight, J, Kolcic, I, Kooner, JS, Koskinen, S, Kristiansson, K, Kutalik, Z, Laan, M, Larson, M, Launer, LJ, Lehne, B, Lehtimaki, T, Liewald, DCM, Lin, L, Lind, L, Lindgren, CM, Liu, Y, Loos, RJF, Lopez, LM, Lu, Y, Lyytikainen, L-P, Mahajan, A, Mamasoula, C, Marrugat, J, Marten, J, Milaneschi, Y, Morgan, A, Morris, AP, Morrison, AC, Munson, PJ, Nalls, MA, Nandakumar, P, Nelson, CP, Niiranen, T, Nolte, IM, Nutile, T, Oldehinkel, AJ, Oostra, BA, O'Reilly, PF, Org, E, Padmanabhan, S, Palmas, W, Palotie, A, Pattie, A, Penninx, BWJH, Perola, M, Peters, A, Polasek, O, Pramstaller, PP, Quang, TN, Raitakari, OT, Ren, M, Rettig, R, Rice, K, Ridker, PM, Ried, JS, Riese, H, Ripatti, S, Robino, A, Rose, LM, Rotter, JI, Rudan, I, Ruggiero, D, Saba, Y, Sala, CF, Salomaa, V, Samani, NJ, Sarin, A-P, Schmidt, R, Schmidt, H, Shrine, N, Siscovick, D, Smith, AV, Snieder, H, Sober, S, Sorice, R, Starr, JM, Stott, DJ, Strachan, DP, Strawbridge, RJ, Sundstrom, J, Swertz, MA, Taylor, KD, Teumer, A, Tobin, MD, Tomaszewski, M, Toniolo, D, Traglia, M, Trompet, S, Tuomilehto, J, Tzourio, C, Uitterlinden, AG, Vaez, A, Van der Most, PJ, Van Duijn, CM, Vergnaud, A-C, Verwoert, GC, Vitart, V, Volker, U, Vollenweider, P, Vuckovic, D, Watkins, H, Wild, SH, Willemsen, G, Wilson, JF, Wright, AF, Yao, J, Zemunik, T, Zhang, W, Attia, JR, Butterworth, AS, Chasman, DI, Conen, D, Cucca, F, Danesh, J, Hayward, C, Howson, JMM, Laakso, M, Lakatta, EG, Langenberg, C, Melander, O, Mook-Kanamori, DO, Palmer, CNA, Risch, L, Scott, RA, Scott, RJ, Sever, P, Spector, TD, Van der Harst, P, Wareham, NJ, Zeggini, E, Levy, D, Munroe, PB, Newton-Cheh, C, Brown, MJ, Metspalu, A, Hung, AM, O'Donnell, CJ, Edwards, TL, Psaty, BM, Tzoulaki, I, Barnes, MR, Wain, LV, Elliott, P, and Caulfield, MJ

Subjects
Genetics & Heredity, Science & Technology, Million Veteran Program, 06 Biological Sciences, Life Sciences & Biomedicine, 11 Medical and Health Sciences, Developmental Biology
Abstract

Correction to: Nature Genetics https://doi.org/10.1038/s41588-018-0205-x, published online 17 September 2018.

Published
2018

6. 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

Davies, G, Lam, M, Harris, SE, Trampush, JW, Luciano, M, Hill, WD, Hagenaars, SP, Ritchie, SJ, Marioni, RE, Fawns-Ritchie, C, Liewald, DCM, Okely, JA, Ahola-Olli, AV, Barnes, CLK, Bertram, L, Bis, JC, Burdick, KE, Christoforou, A, DeRosse, P, Djurovic, S, Espeseth, T, Giakoumaki, S, Giddaluru, S, Gustavson, DE, Hayward, C, Hofer, E, Ikram, MA, Karlsson, R, Knowles, E, Lahti, J, Leber, M, Li, S, Mather, KA ; https://orcid.org/0000-0003-4143-8941, Melle, I, Morris, D, Oldmeadow, C, Palviainen, T, Payton, A, Pazoki, R, Petrovic, K, Reynolds, CA, Sargurupremraj, M, Scholz, M, Smith, JA, Smith, AV, Terzikhan, N, Thalamuthu, A ; https://orcid.org/0000-0002-7114-1260, Trompet, S, van der Lee, SJ, Ware, EB, Windham, BG, Wright, MJ, Yang, J, Yu, J, Ames, D, Amin, N, Amouyel, P, Andreassen, OA, Armstrong, NJ, Assareh, AA, Attia, JR, Attix, D, Avramopoulos, D, Bennett, DA, Böhmer, AC, Boyle, PA, Brodaty, H ; https://orcid.org/0000-0001-9487-6617, Campbell, H, Cannon, TD, Cirulli, ET, Congdon, E, Conley, ED, Corley, J, Cox, SR, Dale, AM, Dehghan, A, Dick, D, Dickinson, D, Eriksson, JG, Evangelou, E, Faul, JD, Ford, I, Freimer, NA, Gao, H, Giegling, I, Gillespie, NA, Gordon, SD, Gottesman, RF, Griswold, ME, Gudnason, V, Harris, TB, Hartmann, AM, Hatzimanolis, A, Heiss, G, Holliday, EG, Joshi, PK, Kähönen, M, Kardia, SLR, Karlsson, I, Kleineidam, L, Sachdev, Perminder ; https://orcid.org/0000-0002-9595-3220, Schofield, Peter ; https://orcid.org/0000-0003-2967-9662, Kwok, John ; https://orcid.org/0000-0001-9574-6195, Kochan, Nicole ; https://orcid.org/0000-0002-8630-6398, Lee, Teresa ; https://orcid.org/0000-0002-9734-6467, Reppermund, Simone ; https://orcid.org/0000-0003-4785-0224, Trollor, Julian ; https://orcid.org/0000-0002-7685-2977, Davies, G, Lam, M, Harris, SE, Trampush, JW, Luciano, M, Hill, WD, Hagenaars, SP, Ritchie, SJ, Marioni, RE, Fawns-Ritchie, C, Liewald, DCM, Okely, JA, Ahola-Olli, AV, Barnes, CLK, Bertram, L, Bis, JC, Burdick, KE, Christoforou, A, DeRosse, P, Djurovic, S, Espeseth, T, Giakoumaki, S, Giddaluru, S, Gustavson, DE, Hayward, C, Hofer, E, Ikram, MA, Karlsson, R, Knowles, E, Lahti, J, Leber, M, Li, S, Mather, KA ; https://orcid.org/0000-0003-4143-8941, Melle, I, Morris, D, Oldmeadow, C, Palviainen, T, Payton, A, Pazoki, R, Petrovic, K, Reynolds, CA, Sargurupremraj, M, Scholz, M, Smith, JA, Smith, AV, Terzikhan, N, Thalamuthu, A ; https://orcid.org/0000-0002-7114-1260, Trompet, S, van der Lee, SJ, Ware, EB, Windham, BG, Wright, MJ, Yang, J, Yu, J, Ames, D, Amin, N, Amouyel, P, Andreassen, OA, Armstrong, NJ, Assareh, AA, Attia, JR, Attix, D, Avramopoulos, D, Bennett, DA, Böhmer, AC, Boyle, PA, Brodaty, H ; https://orcid.org/0000-0001-9487-6617, Campbell, H, Cannon, TD, Cirulli, ET, Congdon, E, Conley, ED, Corley, J, Cox, SR, Dale, AM, Dehghan, A, Dick, D, Dickinson, D, Eriksson, JG, Evangelou, E, Faul, JD, Ford, I, Freimer, NA, Gao, H, Giegling, I, Gillespie, NA, Gordon, SD, Gottesman, RF, Griswold, ME, Gudnason, V, Harris, TB, Hartmann, AM, Hatzimanolis, A, Heiss, G, Holliday, EG, Joshi, PK, Kähönen, M, Kardia, SLR, Karlsson, I, Kleineidam, L, Sachdev, Perminder ; https://orcid.org/0000-0002-9595-3220, Schofield, Peter ; https://orcid.org/0000-0003-2967-9662, Kwok, John ; https://orcid.org/0000-0001-9574-6195, Kochan, Nicole ; https://orcid.org/0000-0002-8630-6398, Lee, Teresa ; https://orcid.org/0000-0002-9734-6467, Reppermund, Simone ; https://orcid.org/0000-0003-4785-0224, and Trollor, Julian ; https://orcid.org/0000-0002-7685-2977

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.

Published
2019

7. Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation

Author

Teumer, A, Chaker, Layal, Groeneweg, Stefan, Li, Yi, Di Munno, Celia, Barbieri, C, Schultheiss, UT, Traglia, M, Ahluwalia, TS, Akiyama, M, Appel, EVR, Arking, DE, Arnold, A, Astrup, A, Beekman, M, Beilby, JP, Bekaert, S, Boerwinkle, E, Brown, SJ, de Buyzere, M, Campbell, PJ, Ceresini, G, Cerqueira, C, Cucca, F, Deary, IJ, Deelen, J, Eckardt, KU, Ekici, AB, Eriksson, JG, Ferrrucci, L, Fiers, T, Fiorillo, E, Ford, I, Fox, CS, Fuchsberger, C, Galesloot, TE, Gieger, C, Gogele, M, De Grandi, A, Grarup, N, Greiser, KH, Haljas, K, Hansen, T, Harris, SE, van Heemst, D, Heijer, M, Hicks, AA, den Hollander, W, Homuth, G, Hui, JN, Ikram, Arfan, Ittermann, T, Jensen, RA, Jing, J, Jukema, JW, Kajalltie, E, Kamatani, Y, Kasbohm, E, Kaufman, JM, Kiemeney, LA, Kloppenburg, M, Kronenberg, F, Kubo, M, Lahti, J, Lapauw, B, Li, S, Liewald, DCM, Lim, EM, Linneberg, A, Marina, M, Mascalzoni, D, Matsuda, K, Medenwald, D, Meisinger, C, Meulenbelt, I, Meyer, T, zu Schwabedissen, HEM, Mikolajczyk, R, Moed, M, Netea-Maier, RT, Nolte, IM, Okadah, Y, Pala, M, Pattaro, C, Pedersen, O, Petersmann, A, Porcu, E, Postmus, I, Pramstaller, PP, Psaty, BM, Ramos, YFM, Rawal, R, Redmond, P, Richards, JB, Rietzschel, ER, Rivadeneira, Fernando, Roef, G, Rotter, JI, Sala, CF, Schlessinger, D, Selvin, E, Slagboom, PE (Eline), Soranzo, N, Sorensen, TIA, Spector, TD, Starr, JM, Stott, DJ, Taes, Y, Taliun, D, Tanaka, T, Thuesen, B, Tiller, D, Toniolo, D, Uitterlinden, André, Visser, Edward, Walsh, JP, Wilson, SG, Wolffenbuttel, BHR, Yang, Q, Zheng, HF, Cappola, A, Peeters, Robin, Naitza, S, Volzke, H, Sanna, S, Kottgen, A, Visser, Theo, Medici, Marco, Teumer, A, Chaker, Layal, Groeneweg, Stefan, Li, Yi, Di Munno, Celia, Barbieri, C, Schultheiss, UT, Traglia, M, Ahluwalia, TS, Akiyama, M, Appel, EVR, Arking, DE, Arnold, A, Astrup, A, Beekman, M, Beilby, JP, Bekaert, S, Boerwinkle, E, Brown, SJ, de Buyzere, M, Campbell, PJ, Ceresini, G, Cerqueira, C, Cucca, F, Deary, IJ, Deelen, J, Eckardt, KU, Ekici, AB, Eriksson, JG, Ferrrucci, L, Fiers, T, Fiorillo, E, Ford, I, Fox, CS, Fuchsberger, C, Galesloot, TE, Gieger, C, Gogele, M, De Grandi, A, Grarup, N, Greiser, KH, Haljas, K, Hansen, T, Harris, SE, van Heemst, D, Heijer, M, Hicks, AA, den Hollander, W, Homuth, G, Hui, JN, Ikram, Arfan, Ittermann, T, Jensen, RA, Jing, J, Jukema, JW, Kajalltie, E, Kamatani, Y, Kasbohm, E, Kaufman, JM, Kiemeney, LA, Kloppenburg, M, Kronenberg, F, Kubo, M, Lahti, J, Lapauw, B, Li, S, Liewald, DCM, Lim, EM, Linneberg, A, Marina, M, Mascalzoni, D, Matsuda, K, Medenwald, D, Meisinger, C, Meulenbelt, I, Meyer, T, zu Schwabedissen, HEM, Mikolajczyk, R, Moed, M, Netea-Maier, RT, Nolte, IM, Okadah, Y, Pala, M, Pattaro, C, Pedersen, O, Petersmann, A, Porcu, E, Postmus, I, Pramstaller, PP, Psaty, BM, Ramos, YFM, Rawal, R, Redmond, P, Richards, JB, Rietzschel, ER, Rivadeneira, Fernando, Roef, G, Rotter, JI, Sala, CF, Schlessinger, D, Selvin, E, Slagboom, PE (Eline), Soranzo, N, Sorensen, TIA, Spector, TD, Starr, JM, Stott, DJ, Taes, Y, Taliun, D, Tanaka, T, Thuesen, B, Tiller, D, Toniolo, D, Uitterlinden, André, Visser, Edward, Walsh, JP, Wilson, SG, Wolffenbuttel, BHR, Yang, Q, Zheng, HF, Cappola, A, Peeters, Robin, Naitza, S, Volzke, H, Sanna, S, Kottgen, A, Visser, Theo, and Medici, Marco

Published
2018

8. Publisher Correction: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits

Author

Aravinda Chakravarti, Jennifer E. Huffman, Meixia Ren, Veikko Salomaa, Christopher Newton-Cheh, Johan Sundström, Alan L. James, Joris Deelen, Raha Pazoki, Michela Traglia, Tõnu Esko, Seppo Koskinen, Christopher J. O'Donnell, Csaba P. Kovesdy, Daniel I. Chasman, Paul F. O'Reilly, Roby Joehanes, Paul M. Ridker, G. Abecasis, Lars Lind, Dragana Vuckovic, Yingchang Lu, Antonietta Robino, Anders Hamsten, Muralidharan Sargurupremraj, Caterina Barbieri, Anne U. Jackson, Anna Morgan, Claudia Langenberg, Peter S. Braund, Rainer Rettig, Murielle Bochud, Vilmundur Gudnason, Eleftheria Zeggini, David J. Stott, Joop Jukema, Nick Shrine, Jun Ding, Olle Melander, Massimo Mangino, Borbala Mifsud, Frank H. Collins, Liewald Dcm., Tineka Blake, Peter K. Joshi, Yan V. Sun, Aarno Palotie, Maciej Tomaszewski, Jarvelin M-R., Kati Kristiansson, L. J. Launer, Sara M. Willems, Ian J. Deary, Christophe Tzourio, Alan J. Gow, Caroline Hayward, Guillaume Paré, Christopher Oldmeadow, John M. Starr, Paul Elliott, Morris A. Swertz, C M van Duijn, Sekar Kathiresan, Lorna M. Lopez, Neil R Poulter, Mike A. Nalls, Erik Ingelsson, Eric Boerwinkle, Catharina A. Hartman, Giorgia Girotto, Ben A. Oostra, Markus Perola, Paul Knekt, Lyytikäinen L-P., T.B. Harris, J. C. Bis, Harriëtte Riese, J. Marrugat, Samuli Ripatti, Howson Jmm., Archie Campbell, C M Lindgren, Adam S. Butterworth, Xiuqing Guo, Lin W-Y., Priyanka Nandakumar, David Mosen-Ansorena, Alison Pattie, Marco Brumat, Annette Peters, Georgios Ntritsos, Ivana Kolcic, Alexander Teumer, Ulf Gyllensten, Joanne Knight, Stella Trompet, K. Witkowska, Hottenga J-J., Tim D. Spector, Maris Laan, Vilmantas Giedraitis, Bram P. Prins, Loos Rjf., M. H. de Borst, Antti Jula, Lynda M. Rose, Massimiliano Cocca, Daniela Toniolo, Igor Rudan, P. J. van der Most, Fu Liang Ng, Heather J. Cordell, Walter Palmas, John Danesh, John Attia, Dan E. Arking, Ganesh Chauhan, C Gieger, P. van der Harst, Penninx Bwjh., Kristin L. Ayers, Germaine C. Verwoert, Bruce M. Psaty, Jaspal S. Kooner, Ruifang Li-Gao, Benjamin Lehne, Khaw K-T., Sandosh Padmanabhan, Franco Giulianini, Erwin P. Bottinger, Roberto Elosua, Christopher P. Nelson, Ozren Polasek, D.R. Velez Edwards, Martin Farrall, Ioanna Tzoulaki, Peter Vollenweider, Uwe Völker, Albertine J. Oldehinkel, Åsa Johansson, Helen R. Warren, Evan Tzanis, Albert V. Smith, Hwang S-J., Teresa Ferreira, E.J.C. de Geus, Evangelos Evangelou, Niek Verweij, R. J. Scott, Pekka Jousilahti, Elin Org, Stefan Enroth, Dorret I. Boomsma, Harry Campbell, Andrew D. Johnson, David Conen, James F. Wilson, Edward G. Lakatta, Anuj Goel, Raymond Noordam, Najaf Amin, David P. Strachan, Martin D. Tobin, Francesco Cucca, Doney Asf., Todd L. Edwards, Jerome I. Rotter, Mika Kähönen, Hugh Watkins, Rossella Sorice, John M. C. Connell, David S. Siscovick, Sébastien Thériault, Jian'an Luan, Marty Larson, Philippe Amouyel, A C Morrison, Louise V. Wain, Reedik Mägi, Jonathan Marten, Thibaud Boutin, Nabi Shah, Weihua Zhang, Palmer Cna., Daniela Ruggiero, Zhao J-H., Olli T. Raitakari, Bernard Keavney, Peter S. Sever, Philip S. Tsao, Jie Yao, André G. Uitterlinden, Marina Evangelou, Zoltán Kutalik, Robert A. Scott, Helena Schmidt, J. Tuomilehto, Nilesh J. Samani, Quang Tri Nguyen, John Michael Gaziano, Georg Ehret, Praveen Surendran, Terho Lehtimäki, Mark J. Caulfield, Denis C. Shields, Rick Jansen, Sarin A-P., Alice Stanton, Mattias Frånberg, Cumhur Y Demirkale, Stéphanie Debette, Paolo Gasparini, Ilaria Gandin, Simon Thom, Kent D. Taylor, Andrew D. Morris, Claudia P. Cabrera, Teemu J. Niiranen, Nicholas J. Wareham, Andrew P. Morris, Yasaman Saba, Daniel Levy, Aki S. Havulinna, Kelly Cho, Sarah E. Harris, Li Lin, Janina S. Ried, Michael R. Barnes, Sarah H. Wild, Patricia B. Munroe, Vergnaud A-C., Lorenz Risch, Rona J. Strawbridge, Y. Milaneschi, John C. Chambers, Yong Qian, Cristina Menni, Anubha Mahajan, Peter Almgren, Gary Davies, Jacklyn N. Hellwege, Elizabeth G. Holliday, A. Metspalu, Ilja M. Nolte, Peter J. Munson, He Gao, Marcus Dörr, Cinzia Sala, Peter P. Pramstaller, Teresa Nutile, Wilson Pwf., Gonneke Willemsen, Markku Laakso, Chiara Batini, Harold Snieder, Ibrahim Karaman, Adriana M. Hung, Reinhold Schmidt, R. de Mutsert, Michael Boehnke, Lili Milani, Alan F. Wright, Edith Hofer, Siim Sõber, Ahmad Vaez, Albert Hofman, Oscar H. Franco, Yongmei Liu, Tatijana Zemunik, Kenneth Rice, Veronique Vitart, Marina Ciullo, Niki Dimou, Morris J. Brown, Crysovalanto Mamasoula, A.M. Erzurumluoglu, Andrew A. Hicks, Ayush Giri, Dennis O. Mook-Kanamori, Home Office, UNIVERSITY OF OULU, Commission of the European Communities, Medical Research Council (MRC), Action on Hearing Loss, British Heart Foundation, National Institute for Health Research, Imperial College Healthcare NHS Trust- BRC Funding, and UK DRI Ltd

Subjects
Genetics & Heredity, 0301 basic medicine, Netherlands Twin Register (NTR), Science & Technology, computer.internet_protocol, Million Veteran Program, Genome-wide association study, Computational biology, 06 Biological Sciences, Biology, Genetic analysis, 03 medical and health sciences, 030104 developmental biology, Genetics, Genome informatics, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Life Sciences & Biomedicine, computer, 11 Medical and Health Sciences, XML, Developmental Biology
Abstract

In the version of this article originally published, the name of author Martin H. de Borst was coded incorrectly in the XML. The error has now been corrected in the HTML version of the paper.

Published
2018
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9. Novel genetic loci associated with hippocampal volume

Author

Hibar, DP, Adams, HHH, Jahanshad, N, Chauhan, G, Stein, JL, Hofer, E, Renteria, ME, Bis, JC, Arias-Vasquez, A, Ikram, MK, Desrivières, S, Vernooij, MW, Abramovic, L, Alhusaini, S, Amin, N, Andersson, M, Arfanakis, K, Aribisala, BS, Armstrong, NJ, Athanasiu, L, Axelsson, T, Beecham, AH, Beiser, A, Bernard, M, Blanton, SH, Bohlken, MM, Boks, MP, Bralten, J, Brickman, AM, Carmichael, O, Chakravarty, MM, Chen, Q, Ching, CRK, Chouraki, V, Cuellar-Partida, G, Crivello, F, Den Braber, A, Doan, NT, Ehrlich, S, Giddaluru, S, Goldman, AL, Gottesman, RF, Grimm, O, Griswold, ME, Guadalupe, T, Gutman, BA, Hass, J, Haukvik, UK, Hoehn, D, Holmes, AJ, Hoogman, M, Janowitz, D, Jia, T, Jørgensen, KN, Karbalai, N, Kasperaviciute, D, Kim, S, Klein, M, Kraemer, B, Lee, PH, Liewald, DCM, Lopez, LM, Luciano, M, MacAre, C, Marquand, AF, Matarin, M, Mather, KA ; https://orcid.org/0000-0003-4143-8941, Mattheisen, M, McKay, DR, Milaneschi, Y, Muñoz Maniega, S, Nho, K, Nugent, AC, Nyquist, P, Loohuis, LMO, Oosterlaan, J, Papmeyer, M, Pirpamer, L, Pütz, B, Ramasamy, A, Richards, JS, Risacher, SL, Roiz-Santiañez, R, Rommelse, N, Ropele, S, Rose, EJ, Royle, NA, Rundek, T, Sämann, PG, Saremi, A, Satizabal, CL, Schmaal, L, Schork, AJ, Shen, L, Shin, J, Shumskaya, E, Smith, AV, Sprooten, E, Strike, LT, Teumer, A, Brodaty, Henry ; https://orcid.org/0000-0001-9487-6617, Sachdev, Perminder ; https://orcid.org/0000-0002-9595-3220, Schofield, Peter ; https://orcid.org/0000-0003-2967-9662, Wen, Wei ; https://orcid.org/0000-0003-2753-3870, Kwok, John ; https://orcid.org/0000-0001-9574-6195, Reppermund, Simone ; https://orcid.org/0000-0003-4785-0224, Assareh, Amelia, Thalamuthu, Anbu ; https://orcid.org/0000-0002-7114-1260, Hibar, DP, Adams, HHH, Jahanshad, N, Chauhan, G, Stein, JL, Hofer, E, Renteria, ME, Bis, JC, Arias-Vasquez, A, Ikram, MK, Desrivières, S, Vernooij, MW, Abramovic, L, Alhusaini, S, Amin, N, Andersson, M, Arfanakis, K, Aribisala, BS, Armstrong, NJ, Athanasiu, L, Axelsson, T, Beecham, AH, Beiser, A, Bernard, M, Blanton, SH, Bohlken, MM, Boks, MP, Bralten, J, Brickman, AM, Carmichael, O, Chakravarty, MM, Chen, Q, Ching, CRK, Chouraki, V, Cuellar-Partida, G, Crivello, F, Den Braber, A, Doan, NT, Ehrlich, S, Giddaluru, S, Goldman, AL, Gottesman, RF, Grimm, O, Griswold, ME, Guadalupe, T, Gutman, BA, Hass, J, Haukvik, UK, Hoehn, D, Holmes, AJ, Hoogman, M, Janowitz, D, Jia, T, Jørgensen, KN, Karbalai, N, Kasperaviciute, D, Kim, S, Klein, M, Kraemer, B, Lee, PH, Liewald, DCM, Lopez, LM, Luciano, M, MacAre, C, Marquand, AF, Matarin, M, Mather, KA ; https://orcid.org/0000-0003-4143-8941, Mattheisen, M, McKay, DR, Milaneschi, Y, Muñoz Maniega, S, Nho, K, Nugent, AC, Nyquist, P, Loohuis, LMO, Oosterlaan, J, Papmeyer, M, Pirpamer, L, Pütz, B, Ramasamy, A, Richards, JS, Risacher, SL, Roiz-Santiañez, R, Rommelse, N, Ropele, S, Rose, EJ, Royle, NA, Rundek, T, Sämann, PG, Saremi, A, Satizabal, CL, Schmaal, L, Schork, AJ, Shen, L, Shin, J, Shumskaya, E, Smith, AV, Sprooten, E, Strike, LT, Teumer, A, Brodaty, Henry ; https://orcid.org/0000-0001-9487-6617, Sachdev, Perminder ; https://orcid.org/0000-0002-9595-3220, Schofield, Peter ; https://orcid.org/0000-0003-2967-9662, Wen, Wei ; https://orcid.org/0000-0003-2753-3870, Kwok, John ; https://orcid.org/0000-0001-9574-6195, Reppermund, Simone ; https://orcid.org/0000-0003-4785-0224, Assareh, Amelia, and Thalamuthu, Anbu ; https://orcid.org/0000-0002-7114-1260

Abstract

The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer's disease (rg =-0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness.

Published
2017

10. Multiethnic Genome-Wide Association Study of Cerebral White Matter Hyperintensities on MRI

Author

Verhaaren, BFJ, Debette, S, Bis, JC, Smith, JA, Ikram, MK, Adams, HH, Beecham, AH, Rajan, KB, Lopez, LM, Barral, S, Van Buchem, MA, Van Der Grond, J, Smith, AV, Hegenscheid, K, Aggarwal, NT, De Andrade, M, Atkinson, EJ, Beekman, M, Beiser, AS, Blanton, SH, Boerwinkle, E, Brickman, AM, Bryan, RN, Chauhan, G, Chen, CPLH, Chouraki, V, De Craen, AJM, Crivello, F, Deary, IJ, Deelen, J, De Jager, PL, Dufouil, C, Elkind, MSV, Evans, DA, Freudenberger, P, Gottesman, RF, Gunason, V, Habes, M, Heckbert, SR, Heiss, G, Hilal, S, Hofer, E, Hofman, A, Ibrahim-Verbaas, CA, Knopman, DS, Lewis, CE, Liao, J, Liewald, DCM, Luciano, M, Van Der Lugt, A, Martinez, OO, Mayeux, R, Mazoyer, B, Nalls, M, Nauck, M, Niessen, WJ, Oostra, BA, Psaty, BM, Rice, KM, Rotter, JI, Von Sarnowski, B, Schmidt, H, Schreiner, PJ, Schuur, M, Sidney, SS, Sigurdsson, S, Slagboom, PE, Stott, DJM, Van Swieten, JC, Teumer, A, Töglhofer, AM, Traylor, M, Trompet, S, Turner, ST, Tzourio, C, Uh, HW, Uitterlinden, AG, Vernooij, MW, Wang, JJ, Wong, TY, Wardlaw, JM, Windham, BG, Wittfeld, K, Wolf, C, Wright, CB, Yang, Q, Zhao, W, Zijdenbos, A, Jukema, JW, Sacco, RL, Kardia, SLR, Amouyel, P, Mosley, TH, Longstreth, WT, DeCarli, CC, Van Duijn, CM, Schmidt, R, Launer, LJ, and Grabe, HJ

Subjects
genome-wide association study, hypertension, leukoencephalopathies, polymorphisms, single nucleotide, cerebrovascular disorders, cerebral small vessel diseases
Abstract

© 2015 American Heart Association, Inc. Background-The burden of cerebral white matter hyperintensities (WMH) is associated with an increased risk of stroke, dementia, and death. WMH are highly heritable, but their genetic underpinnings are incompletely characterized. To identify novel genetic variants influencing WMH burden, we conducted a meta-analysis of multiethnic genome-wide association studies. Methods and Results-We included 21 079 middle-aged to elderly individuals from 29 population-based cohorts, who were free of dementia and stroke and were of European (n=17 936), African (n=1943), Hispanic (n=795), and Asian (n=405) descent. WMH burden was quantified on MRI either by a validated automated segmentation method or a validated visual grading scale. Genotype data in each study were imputed to the 1000 Genomes reference. Within each ethnic group, we investigated the relationship between each single-nucleotide polymorphism and WMH burden using a linear regression model adjusted for age, sex, intracranial volume, and principal components of ancestry. A meta-analysis was conducted for each ethnicity separately and for the combined sample. In the European descent samples, we confirmed a previously known locus on chr17q25 (P=2.7×10-19) and identified novel loci on chr10q24 (P=1.6×10-9) and chr2p21 (P=4.4×10-8). In the multiethnic meta-analysis, we identified 2 additional loci, on chr1q22 (P=2.0×10-8) and chr2p16 (P=1.5×10-8). The novel loci contained genes that have been implicated in Alzheimer disease (chr2p21 and chr10q24), intracerebral hemorrhage (chr1q22), neuroinflammatory diseases (chr2p21), and glioma (chr10q24 and chr2p16). Conclusions-We identified 4 novel genetic loci that implicate inflammatory and glial proliferative pathways in the development of WMH in addition to previously proposed ischemic mechanisms.

Published
2015
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11. Genome-wide association study identifies 74 loci associated with educational attainment

Author

Okbay, Aysu, Beauchamp, JP, Fontana, MA, Lee, JJ, Pers, TH, Rietveld, Niels, Turley, P, Chen, GB, Emilsson, V, Meddens, SFW, Oskarsson, S, Pickrell, JK, Thom, K, Timshel, P, Vlaming, Ronald, Abdellaoui, A, Ahluwalia, TS, Bacelis, J, Baumbach, C, Bjornsdottir, G, Brandsma, Johan, Concas, MP, Derringer, J, Furlotte, NA, Galesloot, TE, Girotto, G, Gupta, R, Hall, LM, Harris, SE, Hofer, E, Horikoshi, M, Huffman, JE, Kaasik, K, Kalafati, IP, Karlsson, R, Kong, A, Lahti, J, van der Lee, Sven, de Leeuw, C, Lind, PA, Lindgren, KO, Liu, T, Mangino, M, Marten, J, Mihailov, E, Miller, MB, van der Most, PJ, Oldmeadow, C, Payton, A, Pervjakova, N, Peyrot, WJ, Qian, Y, Raitakari, O, Rueedi, R, Salvi, E, Schmidt, B, Schraut, KE, Shi, JX, Smith, AV, Poot, Raymond, St Pourcain, B, Teumer, A, Thorleifsson, G, Verweij, N (Niek), Vuckovic, D, Wellmann, J, Westra, HJ, Yang, JY, Zhao, W, Zhu, ZH, Alizadeh, BZ, Amin, Najaf, Bakshi, A, Baumeister, SE, Biino, G, Bonnelykke, K, Boyle, PA, Campbell, H, Cappuccio, FP, Davies, G, De Neve, JE, Deloukas, P, Demuth, I, Ding, J, Eibich, P, Eisele, L, Eklund, N, Evans, DM, Faul, JD, Feitosa, MF, Forstner, AJ, Gandin, I, Gunnarsson, B, Halldorsson, BV, Harris, TB, Heath, AC, Hocking, LJ, Holliday, EG, Homuth, G, Horan, MA, Hottenga, JJ, De Jager, PL, Joshi, PK, Jugessur, A, Kaakinen, MA, Kahonen, M, Kanoni, S, Keltigangas-Jarvinen, L, Kiemeney, LALM, Kolcic, I, Koskinen, S, Kraja, AT, Kroh, M, Kutalik, Z, Latvala, A, Launer, LJ, Lebreton, MP, Levinson, DF, Lichtenstein, P, Lichtner, P, Liewald, DCM, Loukola, A, Madden, PA, Magi, R, Maki-Opas, T, Marioni, RE, Marques-Vidal, P, Meddens, GA, McMahon, G, Meisinger, C, Meitinger, T, Milaneschi, Y, Milani, L, Montgomery, GW, Myhre, R, Nelson, CP, Nyholt, DR, Ollier, WER, Palotie, A, Paternoster, L, Pedersen, NL, Petrovic, KE, Porteous, DJ, Raikkonen, K, Ring, SM, Robino, A, Rostapshova, O, Rudan, I, Rustichini, A, Salomaa, V, Sanders, AR, Sarin, AP, Schmidt, Heléna, Scott, RJ, Smith, BH, Smith, JA, Staessen, JA, Steinhagen-Thiessen, E, Strauch, K, Terracciano, A, Tobin, MD, Ulivi, S, Vaccargiu, S, Quaye, L, van Rooij, FJA, Venturini, C, Vinkhuyzen, AAE, Volker, U, Volzke, H, Vonk, JM, Vozzi, D, Waage, J, Ware, EB, Willemsen, G, Attia, JR, Bennett, DA, Berger, K, Bertram, L, Bisgaard, H, Boomsma, DI, Borecki, IB, Bultmann, U, Chabris, CF, Cucca, F, Cusi, D, Deary, IJ, Dedoussis, GV, Duijn, Cornelia, Eriksson, JG, Franke, B, Franke, L, Gasparini, P, Gejman, PV, Gieger, C, Grabe, HJ, Gratten, J, Groenen, Patrick, Gudnason, V, van der Harst, P, Hayward, C, Hinds, DA, Hoffmann, W, Hyppnen, E, Iacono, WG, Jacobsson, B, Jarvelin, MR, Jockel, KH, Kaprio, J, Kardia, SLR, Lehtimaki, T, Lehrer, SF, Magnusson, PKE, Martin, NG, McGue, M, Metspalu, A, Pendleton, N, Penninx, BWJH, Perola, M, Pirastu, N, Pirastu, M, Polasek, O, Posthuma, Daniëlle, Power, C, Province, MA, Samani, NJ, Schlessinger, D, Schmidt, R, Sorensen, TIA, Spector, TD, Stefansson, K, Thorsteinsdottir, U, Thurik, Roy, Timpson, NJ, Tiemeier, Henning, Tung, JY, Uitterlinden, André, Vitart, V, Vollenweider, P, Weir, DR, Wilson, JF, Wright, AF, Conley, DC, Krueger, RF, Smith, GD, Hofman, Bert, Laibson, DI, Medland, SE, Meyer, MN, Yang, Jiaqi, Johannesson, M, Visscher, PM, Esko, T, Koellinger, PD, Cesarini, D, Benjamin, DJ, Okbay, Aysu, Beauchamp, JP, Fontana, MA, Lee, JJ, Pers, TH, Rietveld, Niels, Turley, P, Chen, GB, Emilsson, V, Meddens, SFW, Oskarsson, S, Pickrell, JK, Thom, K, Timshel, P, Vlaming, Ronald, Abdellaoui, A, Ahluwalia, TS, Bacelis, J, Baumbach, C, Bjornsdottir, G, Brandsma, Johan, Concas, MP, Derringer, J, Furlotte, NA, Galesloot, TE, Girotto, G, Gupta, R, Hall, LM, Harris, SE, Hofer, E, Horikoshi, M, Huffman, JE, Kaasik, K, Kalafati, IP, Karlsson, R, Kong, A, Lahti, J, van der Lee, Sven, de Leeuw, C, Lind, PA, Lindgren, KO, Liu, T, Mangino, M, Marten, J, Mihailov, E, Miller, MB, van der Most, PJ, Oldmeadow, C, Payton, A, Pervjakova, N, Peyrot, WJ, Qian, Y, Raitakari, O, Rueedi, R, Salvi, E, Schmidt, B, Schraut, KE, Shi, JX, Smith, AV, Poot, Raymond, St Pourcain, B, Teumer, A, Thorleifsson, G, Verweij, N (Niek), Vuckovic, D, Wellmann, J, Westra, HJ, Yang, JY, Zhao, W, Zhu, ZH, Alizadeh, BZ, Amin, Najaf, Bakshi, A, Baumeister, SE, Biino, G, Bonnelykke, K, Boyle, PA, Campbell, H, Cappuccio, FP, Davies, G, De Neve, JE, Deloukas, P, Demuth, I, Ding, J, Eibich, P, Eisele, L, Eklund, N, Evans, DM, Faul, JD, Feitosa, MF, Forstner, AJ, Gandin, I, Gunnarsson, B, Halldorsson, BV, Harris, TB, Heath, AC, Hocking, LJ, Holliday, EG, Homuth, G, Horan, MA, Hottenga, JJ, De Jager, PL, Joshi, PK, Jugessur, A, Kaakinen, MA, Kahonen, M, Kanoni, S, Keltigangas-Jarvinen, L, Kiemeney, LALM, Kolcic, I, Koskinen, S, Kraja, AT, Kroh, M, Kutalik, Z, Latvala, A, Launer, LJ, Lebreton, MP, Levinson, DF, Lichtenstein, P, Lichtner, P, Liewald, DCM, Loukola, A, Madden, PA, Magi, R, Maki-Opas, T, Marioni, RE, Marques-Vidal, P, Meddens, GA, McMahon, G, Meisinger, C, Meitinger, T, Milaneschi, Y, Milani, L, Montgomery, GW, Myhre, R, Nelson, CP, Nyholt, DR, Ollier, WER, Palotie, A, Paternoster, L, Pedersen, NL, Petrovic, KE, Porteous, DJ, Raikkonen, K, Ring, SM, Robino, A, Rostapshova, O, Rudan, I, Rustichini, A, Salomaa, V, Sanders, AR, Sarin, AP, Schmidt, Heléna, Scott, RJ, Smith, BH, Smith, JA, Staessen, JA, Steinhagen-Thiessen, E, Strauch, K, Terracciano, A, Tobin, MD, Ulivi, S, Vaccargiu, S, Quaye, L, van Rooij, FJA, Venturini, C, Vinkhuyzen, AAE, Volker, U, Volzke, H, Vonk, JM, Vozzi, D, Waage, J, Ware, EB, Willemsen, G, Attia, JR, Bennett, DA, Berger, K, Bertram, L, Bisgaard, H, Boomsma, DI, Borecki, IB, Bultmann, U, Chabris, CF, Cucca, F, Cusi, D, Deary, IJ, Dedoussis, GV, Duijn, Cornelia, Eriksson, JG, Franke, B, Franke, L, Gasparini, P, Gejman, PV, Gieger, C, Grabe, HJ, Gratten, J, Groenen, Patrick, Gudnason, V, van der Harst, P, Hayward, C, Hinds, DA, Hoffmann, W, Hyppnen, E, Iacono, WG, Jacobsson, B, Jarvelin, MR, Jockel, KH, Kaprio, J, Kardia, SLR, Lehtimaki, T, Lehrer, SF, Magnusson, PKE, Martin, NG, McGue, M, Metspalu, A, Pendleton, N, Penninx, BWJH, Perola, M, Pirastu, N, Pirastu, M, Polasek, O, Posthuma, Daniëlle, Power, C, Province, MA, Samani, NJ, Schlessinger, D, Schmidt, R, Sorensen, TIA, Spector, TD, Stefansson, K, Thorsteinsdottir, U, Thurik, Roy, Timpson, NJ, Tiemeier, Henning, Tung, JY, Uitterlinden, André, Vitart, V, Vollenweider, P, Weir, DR, Wilson, JF, Wright, AF, Conley, DC, Krueger, RF, Smith, GD, Hofman, Bert, Laibson, DI, Medland, SE, Meyer, MN, Yang, Jiaqi, Johannesson, M, Visscher, PM, Esko, T, Koellinger, PD, Cesarini, D, and Benjamin, DJ

Abstract

Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals(1). Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends our earlier discovery sample(1,2) of 101,069 individuals to 293,723 individuals, and a replication study in an independent sample of 111,349 individuals from the UK Biobank. We identify 74 genome-wide significant loci associated with the number of years of schooling completed. Single-nucleotide polymorphisms associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioural phenotype that is mostly environmentally determined, a well-powered GWAS identifies replicable associated genetic variants that suggest biologically relevant pathways. Because educational attainment is measured in large numbers of individuals, it will continue to be useful as a proxy phenotype in efforts to characterize the genetic influences of related phenotypes, including cognition and neuropsychiatric diseases.

Published
2016

12. Molecular Genetic Contributions to Social Deprivation and Household Income in UK Biobank

Author

Hill, WD, Hagenaars, SP, Marioni, RE, Harris, SE, Liewald, DCM, Davies, G, Okbay, Aysu, McIntosh, AM, Gale, C R, Deary, IJ, Hill, WD, Hagenaars, SP, Marioni, RE, Harris, SE, Liewald, DCM, Davies, G, Okbay, Aysu, McIntosh, AM, Gale, C R, and Deary, IJ

Abstract

Individuals with lower socio-economic status (SES) are at increased risk of physical and mental illnesses and tend to die at an earlier age [1; 2 ; 3]. Explanations for the association between SES and health typically focus on factors that are environmental in origin [4]. However, common SNPs have been found collectively to explain around 18% of the phenotypic variance of an area-based social deprivation measure of SES [5]. Molecular genetic studies have also shown that common physical and psychiatric diseases are partly heritable [6]. It is possible that phenotypic associations between SES and health arise partly due to a shared genetic etiology. We conducted a genome-wide association study (GWAS) on social deprivation and on household income using 112,151 participants of UK Biobank. We find that common SNPs explain 21% of the variation in social deprivation and 11% of household income. Two independent loci attained genome-wide significance for household income, with the most significant SNP in each of these loci being rs187848990 on chromosome 2 and rs8100891 on chromosome 19. Genes in the regions of these SNPs have been associated with intellectual disabilities, schizophrenia, and synaptic plasticity. Extensive genetic correlations were found between both measures of SES and illnesses, anthropometric variables, psychiatric disorders, and cognitive ability. These findings suggest that some SNPs associated with SES are involved in the brain and central nervous system. The genetic associations with SES obviously do not reflect direct causal effects and are probably mediated via other partly heritable variables, including cognitive ability, personality, and health.

Published
2016

13. Common genetic variants influence human subcortical brain structures

Author

Hibar, DP, Stein, JL, Renteria, ME, Arias-Vasquez, A, Desrivières, S, Jahanshad, N, Toro, R, Wittfeld, K, Abramovic, L, Andersson, M, Aribisala, BS, Armstrong, NJ, Bernard, M, Bohlken, MM, Boks, MP, Bralten, J, Brown, AA, Mallar Chakravarty, M, Chen, Q, Ching, CRK, Cuellar-Partida, G, Den Braber, A, Giddaluru, S, Goldman, AL, Grimm, O, Guadalupe, T, Hass, J, Woldehawariat, G, Holmes, AJ, Hoogman, M, Janowitz, D, Jia, T, Kim, S, Klein, M, Kraemer, B, Lee, PH, Olde Loohuis, LM, Luciano, M, MacAre, C, Mather, KA ; https://orcid.org/0000-0003-4143-8941, Mattheisen, M, Milaneschi, Y, Nho, K, Papmeyer, M, Ramasamy, A, Risacher, SL, Roiz-Santiañez, R, Rose, EJ, Salami, A, Sämann, PG, Schmaal, L, Schork, AJ, Shin, J, Strike, LT, Teumer, A, Van Donkelaar, MMJ, Van Eijk, KR, Walters, RK, Westlye, LT, Whelan, CD, Winkler, AM, Zwiers, MP, Alhusaini, S, Athanasiu, L, Ehrlich, S, Hakobjan, MMH, Hartberg, CB, Haukvik, UK, Heister, AJGAM, Hoehn, D, Kasperaviciute, D, Liewald, DCM, Lopez, LM, Makkinje, RRR, Matarin, M, Naber, MAM, Reese McKay, D, Needham, M, Nugent, AC, Pütz, B, Royle, NA, Shen, L, Sprooten, E, Trabzuni, D, Van Der Marel, SSL, Van Hulzen, KJE, Walton, E, Wolf, C, Almasy, L, Ames, D, Arepalli, S, Assareh, AA, Bastin, ME, Brodaty, H ; https://orcid.org/0000-0001-9487-6617, Bulayeva, KB, Carless, MA, Cichon, S, Corvin, A, Curran, JE, Czisch, M, Schofield, Peter ; https://orcid.org/0000-0003-2967-9662, Sachdev, Perminder ; https://orcid.org/0000-0002-9595-3220, Wen, Wei ; https://orcid.org/0000-0003-2753-3870, Kwok, John ; https://orcid.org/0000-0001-9574-6195, Thalamuthu, Anbu ; https://orcid.org/0000-0002-7114-1260, Reppermund, Simone ; https://orcid.org/0000-0003-4785-0224, Schofield, Peter, Hibar, DP, Stein, JL, Renteria, ME, Arias-Vasquez, A, Desrivières, S, Jahanshad, N, Toro, R, Wittfeld, K, Abramovic, L, Andersson, M, Aribisala, BS, Armstrong, NJ, Bernard, M, Bohlken, MM, Boks, MP, Bralten, J, Brown, AA, Mallar Chakravarty, M, Chen, Q, Ching, CRK, Cuellar-Partida, G, Den Braber, A, Giddaluru, S, Goldman, AL, Grimm, O, Guadalupe, T, Hass, J, Woldehawariat, G, Holmes, AJ, Hoogman, M, Janowitz, D, Jia, T, Kim, S, Klein, M, Kraemer, B, Lee, PH, Olde Loohuis, LM, Luciano, M, MacAre, C, Mather, KA ; https://orcid.org/0000-0003-4143-8941, Mattheisen, M, Milaneschi, Y, Nho, K, Papmeyer, M, Ramasamy, A, Risacher, SL, Roiz-Santiañez, R, Rose, EJ, Salami, A, Sämann, PG, Schmaal, L, Schork, AJ, Shin, J, Strike, LT, Teumer, A, Van Donkelaar, MMJ, Van Eijk, KR, Walters, RK, Westlye, LT, Whelan, CD, Winkler, AM, Zwiers, MP, Alhusaini, S, Athanasiu, L, Ehrlich, S, Hakobjan, MMH, Hartberg, CB, Haukvik, UK, Heister, AJGAM, Hoehn, D, Kasperaviciute, D, Liewald, DCM, Lopez, LM, Makkinje, RRR, Matarin, M, Naber, MAM, Reese McKay, D, Needham, M, Nugent, AC, Pütz, B, Royle, NA, Shen, L, Sprooten, E, Trabzuni, D, Van Der Marel, SSL, Van Hulzen, KJE, Walton, E, Wolf, C, Almasy, L, Ames, D, Arepalli, S, Assareh, AA, Bastin, ME, Brodaty, H ; https://orcid.org/0000-0001-9487-6617, Bulayeva, KB, Carless, MA, Cichon, S, Corvin, A, Curran, JE, Czisch, M, Schofield, Peter ; https://orcid.org/0000-0003-2967-9662, Sachdev, Perminder ; https://orcid.org/0000-0002-9595-3220, Wen, Wei ; https://orcid.org/0000-0003-2753-3870, Kwok, John ; https://orcid.org/0000-0001-9574-6195, Thalamuthu, Anbu ; https://orcid.org/0000-0002-7114-1260, Reppermund, Simone ; https://orcid.org/0000-0003-4785-0224, and Schofield, Peter

Abstract

The highly complex structure of the human brain is strongly shaped by genetic influences. Subcortical brain regions form circuits with cortical areas to coordinate movement, learning, memory and motivation, and altered circuits can lead to abnormal behaviour and disease. To investigate how common genetic variants affect the structure of these brain regions, here we conduct genome-wide association studies of the volumes of seven subcortical regions and the intracranial volume derived from magnetic resonance images of 30,717 individuals from 50 cohorts. We identify five novel genetic variants influencing the volumes of the putamen and caudate nucleus. We also find stronger evidence for three loci with previously established influences on hippocampal volume and intracranial volume. These variants show specific volumetric effects on brain structures rather than global effects across structures. The strongest effects were found for the putamen, where a novel intergenic locus with replicable influence on volume (rs945270; P = 1.08×10 -33; 0.52% variance explained) showed evidence of altering the expression of the KTN1 gene in both brain and blood tissue. Variants influencing putamen volume clustered near developmental genes that regulate apoptosis, axon guidance and vesicle transport. Identification of these genetic variants provides insight into the causes of variability in human brain development, and may help to determine mechanisms of neuropsychiatric dysfunction.

Published
2015

14. Directional dominance on stature and cognition in diverse human populations

Author

Joshi, PK, Esko, T, Mattsson, H, Eklund, N, Gandin, I, Nutile, T, Jackson, AU, Schurmann, C, Smith, AV, Zhang, WH, Okada, Y, Stancakova, A, Faul, JD, Zhao, W, Bartz, TM, Concas, MP, Franceschini, N, Enroth, S, Vitart, V, Trompet, S, Guo, XQ, Chasman, DI, O'Connel, JR, Corre, T, Nongmaithem, SS, Chen, Y, Mangino, M, Ruggiero, D, Michela, T, Farmaki, AE, Kacprowski, T, Bjonnes, A, van der Spek, Ashley, Wu, Y, Giri, AK, Yanek, LR, Wang, LH, Hofer, E, Rietveld, CA, McLeod, O, Cornelis, MC, Pattaro, C, Verweij, N, Baumbach, C, Abdellaoui, A, Warren, HR, Vuckovic, D, Mei, H, Bouchard, C, Perry, JRB, Cappellani, S, Mirza, Saira, Benton, MC, Broeckel, U, Medland, SE, Lind, P, Malerba, G, Drong, A, Yengo, L, Bielak, LF, Zhi, DG, van der Most, PJ, Shriner, D, Magi, R, Hemani, G, Karaderi, T, Wang, ZM, Liu, T, Demuth, I, Zhao, JH, Meng, WH, Lataniotis, L, Laan, Sander, Bradfield, JP, Wood, AR, Bonnefond, A, Ahluwalia, TS, Hall, L, Salvi, E, Yazar, S, Carstensen, L, de Haan, HG, Abney, M, Afzal, U, Allison, MA, Amin, Najaf, Asselbergs, FW, Bakker, SJL, Barr, RG, Baumeister, SE, Benjamin, DJ, Bergmann, S, Boerwinkle, E, Bottinger, EP, Campbell, A (Archie), Chakravarti, A, Chan, YL, Chanock, SJ, Chen, C (Christopher Li Hsian), Chen, YDI, Collins, FS, Connell, J, Correa, A, Cupples, LA, Smith, GD, Davies, G, Dorr, M, Ehret, G, Ellis, SB, Feenstra, B, Feitosa, MF, Ford, I, Fox, CS, Frayling, TM, Friedrich, N, Geller, F, Scotland, G, Gillham-Nasenya, I, Gottesman, O, Graff, M, Grodstein, F, Gu, C, Haley, C, Hammond, CJ, Harris, SE, Harris, TB, Hastie, ND, Heard-Costa, NL, Heikkila, K, Hocking, LJ, Homuth, G, Hottenga, Jouke-Jan, Huang, JY, Huffman, JE, Hysi, Pirro G., Arfan Ikram, M., Ingelsson, E, Joensuu, A, Johansson, A, Jousilahti, P, Jukema, JW, Kahonen, M, Kamatani, Y, Kanoni, S, Kerr, SM, Khan, NM, Koellinger, P, Koistinen, HA, Kooner, MK, Kubo, M, Kuusisto, J, Lahti, J, Launer, Lenore J., Lea, RA, Lehne, B, Lehtimaki, T, Liewald, DCM, Lind, L, Loh, M, Lokki, ML, London, SJ, Loomis, SJ, Loukola, A, Lu, YC, Lumley, T, Lundqvist, A, Mannisto, S, Marques-Vidal, P, Masciullo, C, Matchan, A, Mathias, RA, Matsuda, K, Meigs, JB, Meisinger, C, Meitinger, T, Menni, C, Mentch, FD, Mihailov, E, Milani, L, Montasser, ME, Montgomery, G, Morrison, A, Myers, RH, Nadukuru, R, Navarro, P, Nelis, M, Nieminen, MS, Nolte, Ilja M., O'Connor, GT, Ogunniyi, A, Padmanabhan, S, Palmas, WR, Pankow, JS, Patarcic, I, Pavani, F, Peyser, PA, Pietilainen, K, Poulter, N, Prokopenko, I, Ralhan, S, Redmond, P, Rich, SS, Rissanen, H, Robino, A, Rose, LM, Rose, R, Sala, C, Salako, B, Salomaa, V, Sarin, AP, Saxena, R, Schmidt, Heléna, Scott, LJ, Scott, WR, Sennblad, B, Seshadri, S, Sever, P, Shrestha, S, Smith, BH, Smith, JA, Soranzo, N, Sotoodehnia, N, Southam, L, Stanton, AV, Stathopoulou, MG, Strauch, K, Strawbridge, RJ, Suderman, MJ, Tandon, N, Tang, ST, Taylor, KD, Tayo, BO, Toglhofer, AM, Tomaszewski, M, Tsernikova, N, Tuomilehto, J, Uitterlinden, André, Vaidya, D, Vlieg, AV, van Setten, J, Vasankari, T, Vedantam, S, Vlachopoulou, E, Vozzi, D, Vuoksimaa, E, Waldenberger, M, Ware, EB, Wentworth-Shields, W, Whitfield, JB, Wild, S, Willemsen, G, Yajnik, CS, Yao, J, Zaza, G, Zhu, XF, Salem, RM, Melbye, M, Bisgaard, H, Samani, NJ, Cusi, D, Mackey, DA, Cooper, RS, Froguel, P, Pasterkamp, G, Grant, SFA, Hakonarson, H, Ferrucci, L, Scott, RA, Morris, AD, Palmer, CNA, Dedoussis, G, Deloukas, P, Bertram, L, Lindenberger, U, Berndt, SI, Lindgren, CM, Timpson, NJ, Tonjes, A, Munroe, PB, Sorensen, TIA, Rotimi, CN, Arnett, DK, Oldehinkel, Albertine J., Kardia, SLR, Balkau, B, Gambaro, G, Morris, AP, Eriksson, JG, Wright, MJ, Martin, NG, Hunt, SC, Starr, JM, Deary, IJ, Griffiths, LR, Tiemeier, Henning, Pirastu, N, Kaprio, J, Wareham, NJ, Peerusse, L, Wilson, JG, Girotto, G, Caulfield, MJ, Raitakari, O, Boomsma, DI, Gieger, C, van der Harst, P, Hicks, AA, Kraft, P, Sinisalo, J, Knekt, P, Johannesson, M, Magnusson, PKE, Hamsten, A, Schmidt, R, Borecki, IB, Vartiainen, E, Becker, DM, Bharadwaj, D, Mohlke, KL, Boehnke, M, van Duijn, Cornelia M., Sanghera, DK, Teumer, A, Zeggini, E, Metspalu, A, Gasparini, P, Ulivi, S, Ober, C, Toniolo, D, Rudan, I, Porteous, DJ, Ciullo, M, Spector, Tim D., Hayward, C, Dupuis, J, Loos, RJF, Wright, AF, Chandak, GR, Vollenweider, P, Shuldiner, AR, Ridker, PM, Rotter, JI, Sattar, N, Gyllensten, U, North, KE, Pirastu, M, Psaty, Bruce M., Weir, DR, Laakso, M, Gudnason, V, Takahashi, A, Chambers, JC, Kooner, JS, Strachan, DP, Campbell, H, Hirschhorn, JN, Perola, M, Polasek, O, Wilson, JF, Joshi, PK, Esko, T, Mattsson, H, Eklund, N, Gandin, I, Nutile, T, Jackson, AU, Schurmann, C, Smith, AV, Zhang, WH, Okada, Y, Stancakova, A, Faul, JD, Zhao, W, Bartz, TM, Concas, MP, Franceschini, N, Enroth, S, Vitart, V, Trompet, S, Guo, XQ, Chasman, DI, O'Connel, JR, Corre, T, Nongmaithem, SS, Chen, Y, Mangino, M, Ruggiero, D, Michela, T, Farmaki, AE, Kacprowski, T, Bjonnes, A, van der Spek, Ashley, Wu, Y, Giri, AK, Yanek, LR, Wang, LH, Hofer, E, Rietveld, CA, McLeod, O, Cornelis, MC, Pattaro, C, Verweij, N, Baumbach, C, Abdellaoui, A, Warren, HR, Vuckovic, D, Mei, H, Bouchard, C, Perry, JRB, Cappellani, S, Mirza, Saira, Benton, MC, Broeckel, U, Medland, SE, Lind, P, Malerba, G, Drong, A, Yengo, L, Bielak, LF, Zhi, DG, van der Most, PJ, Shriner, D, Magi, R, Hemani, G, Karaderi, T, Wang, ZM, Liu, T, Demuth, I, Zhao, JH, Meng, WH, Lataniotis, L, Laan, Sander, Bradfield, JP, Wood, AR, Bonnefond, A, Ahluwalia, TS, Hall, L, Salvi, E, Yazar, S, Carstensen, L, de Haan, HG, Abney, M, Afzal, U, Allison, MA, Amin, Najaf, Asselbergs, FW, Bakker, SJL, Barr, RG, Baumeister, SE, Benjamin, DJ, Bergmann, S, Boerwinkle, E, Bottinger, EP, Campbell, A (Archie), Chakravarti, A, Chan, YL, Chanock, SJ, Chen, C (Christopher Li Hsian), Chen, YDI, Collins, FS, Connell, J, Correa, A, Cupples, LA, Smith, GD, Davies, G, Dorr, M, Ehret, G, Ellis, SB, Feenstra, B, Feitosa, MF, Ford, I, Fox, CS, Frayling, TM, Friedrich, N, Geller, F, Scotland, G, Gillham-Nasenya, I, Gottesman, O, Graff, M, Grodstein, F, Gu, C, Haley, C, Hammond, CJ, Harris, SE, Harris, TB, Hastie, ND, Heard-Costa, NL, Heikkila, K, Hocking, LJ, Homuth, G, Hottenga, Jouke-Jan, Huang, JY, Huffman, JE, Hysi, Pirro G., Arfan Ikram, M., Ingelsson, E, Joensuu, A, Johansson, A, Jousilahti, P, Jukema, JW, Kahonen, M, Kamatani, Y, Kanoni, S, Kerr, SM, Khan, NM, Koellinger, P, Koistinen, HA, Kooner, MK, Kubo, M, Kuusisto, J, Lahti, J, Launer, Lenore J., Lea, RA, Lehne, B, Lehtimaki, T, Liewald, DCM, Lind, L, Loh, M, Lokki, ML, London, SJ, Loomis, SJ, Loukola, A, Lu, YC, Lumley, T, Lundqvist, A, Mannisto, S, Marques-Vidal, P, Masciullo, C, Matchan, A, Mathias, RA, Matsuda, K, Meigs, JB, Meisinger, C, Meitinger, T, Menni, C, Mentch, FD, Mihailov, E, Milani, L, Montasser, ME, Montgomery, G, Morrison, A, Myers, RH, Nadukuru, R, Navarro, P, Nelis, M, Nieminen, MS, Nolte, Ilja M., O'Connor, GT, Ogunniyi, A, Padmanabhan, S, Palmas, WR, Pankow, JS, Patarcic, I, Pavani, F, Peyser, PA, Pietilainen, K, Poulter, N, Prokopenko, I, Ralhan, S, Redmond, P, Rich, SS, Rissanen, H, Robino, A, Rose, LM, Rose, R, Sala, C, Salako, B, Salomaa, V, Sarin, AP, Saxena, R, Schmidt, Heléna, Scott, LJ, Scott, WR, Sennblad, B, Seshadri, S, Sever, P, Shrestha, S, Smith, BH, Smith, JA, Soranzo, N, Sotoodehnia, N, Southam, L, Stanton, AV, Stathopoulou, MG, Strauch, K, Strawbridge, RJ, Suderman, MJ, Tandon, N, Tang, ST, Taylor, KD, Tayo, BO, Toglhofer, AM, Tomaszewski, M, Tsernikova, N, Tuomilehto, J, Uitterlinden, André, Vaidya, D, Vlieg, AV, van Setten, J, Vasankari, T, Vedantam, S, Vlachopoulou, E, Vozzi, D, Vuoksimaa, E, Waldenberger, M, Ware, EB, Wentworth-Shields, W, Whitfield, JB, Wild, S, Willemsen, G, Yajnik, CS, Yao, J, Zaza, G, Zhu, XF, Salem, RM, Melbye, M, Bisgaard, H, Samani, NJ, Cusi, D, Mackey, DA, Cooper, RS, Froguel, P, Pasterkamp, G, Grant, SFA, Hakonarson, H, Ferrucci, L, Scott, RA, Morris, AD, Palmer, CNA, Dedoussis, G, Deloukas, P, Bertram, L, Lindenberger, U, Berndt, SI, Lindgren, CM, Timpson, NJ, Tonjes, A, Munroe, PB, Sorensen, TIA, Rotimi, CN, Arnett, DK, Oldehinkel, Albertine J., Kardia, SLR, Balkau, B, Gambaro, G, Morris, AP, Eriksson, JG, Wright, MJ, Martin, NG, Hunt, SC, Starr, JM, Deary, IJ, Griffiths, LR, Tiemeier, Henning, Pirastu, N, Kaprio, J, Wareham, NJ, Peerusse, L, Wilson, JG, Girotto, G, Caulfield, MJ, Raitakari, O, Boomsma, DI, Gieger, C, van der Harst, P, Hicks, AA, Kraft, P, Sinisalo, J, Knekt, P, Johannesson, M, Magnusson, PKE, Hamsten, A, Schmidt, R, Borecki, IB, Vartiainen, E, Becker, DM, Bharadwaj, D, Mohlke, KL, Boehnke, M, van Duijn, Cornelia M., Sanghera, DK, Teumer, A, Zeggini, E, Metspalu, A, Gasparini, P, Ulivi, S, Ober, C, Toniolo, D, Rudan, I, Porteous, DJ, Ciullo, M, Spector, Tim D., Hayward, C, Dupuis, J, Loos, RJF, Wright, AF, Chandak, GR, Vollenweider, P, Shuldiner, AR, Ridker, PM, Rotter, JI, Sattar, N, Gyllensten, U, North, KE, Pirastu, M, Psaty, Bruce M., Weir, DR, Laakso, M, Gudnason, V, Takahashi, A, Chambers, JC, Kooner, JS, Strachan, DP, Campbell, H, Hirschhorn, JN, Perola, M, Polasek, O, and Wilson, JF

Abstract

Homozygosity has long been associated with rare, often devastating, Mendelian disorders(1), and Darwin was one of the first to recognize that inbreeding reduces evolutionary fitness(2). However, the effect of the more distant parental relatedness that is common in modern human populations is less well understood. Genomic data now allow us to investigate the effects of homozygosity on traits of public health importance by observing contiguous homozygous segments (runs of homozygosity), which are inferred to be homozygous along their complete length. Given the low levels of genome-wide homozygosity prevalent in most human populations, information is required on very large numbers of people to provide sufficient power(3,4). Here we use runs of homozygosity to study 16 health-related quantitative traits in 354,224 individuals from 102 cohorts, and find statistically significant associations between summed runs of homozygosity and four complex traits: height, forced expiratory lung volume in one second, general cognitive ability and educational attainment (P < 1 x 10(-300), 2.1 x 10(-6), 2.5 x 10(-10) and 1.8 x 10(-10), respectively). In each case, increased homozygosity was associated with decreased trait value, equivalent to the offspring of first cousins being 1.2 cm shorter and having 10 months' less education. Similar effect sizes were found across four continental groups and populations with different degrees of genome-wide homozygosity, providing evidence that homozygosity, rather than confounding, directly contributes to phenotypic variance. Contrary to earlier reports in substantially smaller samples(5,6), no evidence was seen of an influence of genome-wide homozygosity on blood pressure and low density lipoprotein cholesterol, or ten other cardio-metabolic traits. Since directional dominance is predicted for traits under directional evolutionary selection(7), this study provides evidence that increased stature and cognitive function have been positively sele

Published
2015

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

Author

Peter Vollenweider, Christophe Tzourio, Stefan Enroth, Cinzia Sala, Mark J. Caulfield, Murielle Bochud, Peter P. Pramstaller, Ozren Polasek, Paul Elliott, Dennis O. Mook-Kanamori, Daniel I. Chasman, Christian Gieger, Harriëtte Riese, Rodney J. Scott, Cristina Menni, Anubha Mahajan, Elizabeth G. Holliday, Ilja M. Nolte, Priyanka Nandakumar, Tatijana Zemunik, Dragana Vuckovic, Tõnu Esko, Franco Giulianini, Michael Boehnke, Antonietta Robino, Anne U. Jackson, Roby Joehanes, Alanna C. Morrison, Kay-Tee Khaw, Alison Pattie, Peter J. van der Most, Mika Kähönen, Rick Jansen, Andrew D. Johnson, John M. Starr, Marcus Dörr, Anders Hamsten, Kenneth Rice, Alice Stanton, James F. Wilson, Nabi Shah, Weihua Zhang, Andrew A. Hicks, Jeffrey Damman, Jing Hua Zhao, Aarno Palotie, Veronique Vitart, Alan J. Gow, Caroline Hayward, Alan James, Ben A. Oostra, Janina S. Ried, John Beilby, David P. Strachan, Martin D. Tobin, Eco J. C. de Geus, Vilmundur Gudnason, Bruce M. Psaty, Zoltán Kutalik, Neil Poulter, Paul M. Ridker, Johan Sundström, Cornelia M. van Duijn, Eleftheria Zeggini, Christopher Oldmeadow, Borbala Mifsud, Giorgia Girotto, Aravinda Chakravarti, Jonathan Marten, Alexander Teumer, Joanne Knight, Robert A. Scott, Vilmantas Giedraitis, Paul F. O'Reilly, Marco Brumat, Brenda W.J.H. Penninx, Peter J. Munson, Olli T. Raitakari, Leo-Pekka Lyytikäinen, He Gao, Massimo Mangino, Benjamin Lehne, J. Wouter Jukema, Paul Knekt, Catharina A. Hartman, Rona J. Strawbridge, Jouke-Jan Hottenga, Jaspal S. Kooner, Nilesh J. Samani, Kristin L. Ayers, A. Mesut Erzurumluoglu, Joshua C. Bis, Archie Campbell, Dan E. Arking, Germaine C. Verwoert, John Attia, Samuli Ripatti, Yuri Milaneschi, Caterina Barbieri, Fabiola M. Del Greco, C M Lindgren, Peter K. Joshi, Helen R. Warren, Nicholas J. Wareham, Simon Thom, Seppo Koskinen, Tamara B. Harris, Ilaria Gandin, Kent D. Taylor, Andrew D. Morris, Anna Morgan, Chiara Batini, Terho Lehtimäki, Walter Palmas, David Conen, Harold Snieder, Martin H. de Borst, Sarah E. Harris, Igor Rudan, Ruth J. F. Loos, Claudia Langenberg, Anuj Goel, Christopher P. Nelson, Peter S. Braund, Rossella Sorice, Yasaman Saba, Oscar H. Franco, Yongmei Liu, Mattias Frånberg, David S. Siscovick, Patricia B. Munroe, Rainer Rettig, Michela Traglia, Daniel Levy, Li Lin, Michael R. Barnes, Elin Org, Anne-Claire Vergnaud, Andres Metspalu, Stéphanie Debette, Yusuf Demirkale, John M. C. Connell, Jian'an Luan, Paolo Gasparini, Tim D. Spector, Marina Ciullo, Antti-Pekka Sarin, Ian J. Deary, Teemu J. Niiranen, Marty Larson, Heather J. Cordell, Jerome I. Rotter, Sekar Kathiresan, Teresa Nutile, Andrew P. Morris, Denis C. Shields, Alan F. Wright, Lorna M. Lopez, Aki S. Havulinna, Gonçalo R. Abecasis, Edith Hofer, Siim Sõber, Sébastien Thériault, Ahmad Vaez, Albert Hofman, Gonneke Willemsen, Lynda M. Rose, John C. Chambers, Peter S. Sever, Maryam Abedi, André G. Uitterlinden, François Mach, Massimiliano Cocca, Sarah H Wild, Reinhold Schmidt, Jaume Marrugat, Marc A. Seelen, Maris Laan, Aude Saint Pierre, David C. Liewald, Pim van der Harst, Sandosh Padmanabhan, Martin Farrall, Georg Ehret, Albert V. Smith, Quang Tri Nguyen, Ulf Gyllensten, Helena Schmidt, Ganesh Chauhan, Jennifer E. Huffman, Morris A. Swertz, Jaakko Tuomilehto, Louise V. Wain, Meixia Ren, Erwin P. Bottinger, Roberto Elosua, Ivana Kolcic, Veikko Salomaa, Stella Trompet, Bernard Keavney, Claudia P. Cabrera, Bram P. Prins, Jennie Hui, Uwe Völker, Albertine J. Oldehinkel, Evangelos Evangelou, Pekka Jousilahti, Dorret I. Boomsma, Harry Campbell, Shih-Jen Hwang, Jie Yao, Francis S. Collins, Chrysovalanto Mamasoula, Kati Kristiansson, Markus Perola, Renée de Mutsert, Xiuqing Guo, Antti Jula, Daniela Toniolo, Ruifang Li-Gao, Åsa Johansson, Nick Shrine, Teresa Ferreira, Lars Lind, David J. Stott, Tineka Blake, Daniela Ruggiero, Mike A. Nalls, Erik Ingelsson, Colin N. A. Palmer, Christopher Newton-Cheh, Marjo-Riitta Järvelin, Guillaume Paré, Joris Deelen, Morris Brown, Gail Davies, Annette Peters, Ioanna Tzoulaki, Alex S. F. Doney, Najaf Amin, Lenore J. Launer, Hugh Watkins, Yingchang Lu, 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, J, Bis, Jc, Smith, Av, Amin, N, Nolte, Im, Lyytikäinen, Lp, Mahajan, A, Wareham, Nj, Hofer, E, Joshi, Pk, Kristiansson, K, Traglia, M, Havulinna, A, Goel, A, Nalls, Ma, Sõber, S, Vuckovic, Dragana, 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, P, 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, Anna, 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, Giorgia, Hayward, C, Kooner, J, 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, Paolo, 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, G. b., Home Office, Medical Research Council (MRC), National Institute for Health Research, Imperial College Healthcare NHS Trust- BRC Funding, British Heart Foundation, Life Course Epidemiology (LCE), Groningen Kidney Center (GKC), Lifestyle Medicine (LM), Vascular Ageing Programme (VAP), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Groningen Institute for Organ Transplantation (GIOT), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Cardiovascular Centre (CVC), Epidemiology, Gastroenterology & Hepatology, Clinical Genetics, Internal Medicine, Erasmus MC other, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Epidemiology and Data Science, Division 6, APH - Mental Health, APH - Digital Health, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, and APH - Methodology

Subjects
0301 basic medicine, cardiovascular risk, Netherlands Twin Register (NTR), hypertension, NETHERLANDS, Sistema cardiovascular -- Malalties, GWAS, blood pressure, complex traits, eSNP, Locus (genetics), Genome-wide association study, Disease, Biology, PERIPHERAL-BLOOD, 1102 Cardiovascular Medicine And Haematology, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Genetic variation, Internal Medicine, Journal Article, Cardiac and Cardiovascular Systems, 1000 Genomes Project, Gene, CENTRIC ARRAY, METAANALYSIS, Genetics, ddc:616, Kardiologi, PULSE PRESSURE, COMMON VARIANTS, 1103 Clinical Sciences, ta3121, 3. Good health, INDIVIDUALS, 030104 developmental biology, Blood pressure, TARGET, Cardiovascular System & Hematology, complex trait, GWAS, blood pressure, cardiovascular risk, complex traits, eSNP, hypertension, Hipertensió, Imputation (genetics), TRAITS
Abstract

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 blood pressure loci, we used 1000 Genomes Project–based imputation in 150 134 European ancestry individuals and sought significant evidence for independent replication in a further 228 245 individuals. We report 6 new signals of association in or near HSPB7 , TNXB , LRP12 , LOC283335 , SEPT9 , and AKT2 , and provide new replication evidence for a further 2 signals in EBF2 and NFKBIA . Combining large whole-blood gene expression resources totaling 12 607 individuals, we investigated all novel and previously reported signals and identified 48 genes with evidence for involvement in blood pressure regulation that are significant in multiple resources. Three novel kidney-specific signals were also detected. These robustly implicated genes may provide new leads for therapeutic innovation.

Published
2017
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16. Genomic analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries.

Author

García-Marín LM, Campos AI, Diaz-Torres S, Rabinowitz JA, Ceja Z, Mitchell BL, Grasby KL, Thorp JG, Agartz I, Alhusaini S, Ames D, Amouyel P, Andreassen OA, Arfanakis K, Arias-Vasquez A, Armstrong NJ, Athanasiu L, Bastin ME, Beiser AS, Bennett DA, Bis JC, Boks MPM, Boomsma DI, Brodaty H, Brouwer RM, Buitelaar JK, Burkhardt R, Cahn W, Calhoun VD, Carmichael OT, Chakravarty M, Chen Q, Ching CRK, Cichon S, Crespo-Facorro B, Crivello F, Dale AM, Smith GD, de Geus EJC, De Jager PL, de Zubicaray GI, Debette S, DeCarli C, Depondt C, Desrivières S, Djurovic S, Ehrlich S, Erk S, Espeseth T, Fernández G, Filippi I, Fisher SE, Fleischman DA, Fletcher E, Fornage M, Forstner AJ, Francks C, Franke B, Ge T, Goldman AL, Grabe HJ, Green RC, Grimm O, Groenewold NA, Gruber O, Gudnason V, Håberg AK, Haukvik UK, Heinz A, Hibar DP, Hilal S, Himali JJ, Ho BC, Hoehn DF, Hoekstra PJ, Hofer E, Hoffmann W, Holmes AJ, Homuth G, Hosten N, Ikram MK, Ipser JC, Jack CR Jr, Jahanshad N, Jönsson EG, Kahn RS, Kanai R, Klein M, Knol MJ, Launer LJ, Lawrie SM, Hellard SL, Lee PH, Lemaître H, Li S, Liewald DCM, Lin H, Longstreth WT Jr, Lopez OL, Luciano M, Maillard P, Marquand AF, Martin NG, Martinot JL, Mather KA, Mattay VS, McMahon KL, Mecocci P, Melle I, Meyer-Lindenberg A, Mirza-Schreiber N, Milaneschi Y, Mosley TH, Mühleisen TW, Müller-Myhsok B, Maniega SM, Nauck M, Nho K, Niessen WJ, Nöthen MM, Nyquist PA, Oosterlaan J, Pandolfo M, Paus T, Pausova Z, Penninx BWJH, Pike GB, Psaty BM, Pütz B, Reppermund S, Rietschel MD, Risacher SL, Romanczuk-Seiferth N, Romero-Garcia R, Roshchupkin GV, Rotter JI, Sachdev PS, Sämann PG, Saremi A, Sargurupremraj M, Saykin AJ, Schmaal L, Schmidt H, Schmidt R, Schofield PR, Scholz M, Schumann G, Schwarz E, Shen L, Shin J, Sisodiya SM, Smith AV, Smoller JW, Soininen HS, Steen VM, Stein DJ, Stein JL, Thomopoulos SI, Toga AW, Tordesillas-Gutiérrez D, Trollor JN, Valdes-Hernandez MC, van T Ent D, van Bokhoven H, van der Meer D, van der Wee NJA, Vázquez-Bourgon J, Veltman DJ, Vernooij MW, Villringer A, Vinke LN, Völzke H, Walter H, Wardlaw JM, Weinberger DR, Weiner MW, Wen W, Westlye LT, Westman E, White T, Witte AV, Wolf C, Yang J, Zwiers MP, Ikram MA, Seshadri S, Thompson PM, Satizabal CL, Medland SE, and Rentería ME

Subjects
Humans, Female, Male, Organ Size genetics, Attention Deficit Disorder with Hyperactivity genetics, Attention Deficit Disorder with Hyperactivity pathology, Parkinson Disease genetics, Parkinson Disease pathology, Polymorphism, Single Nucleotide, Genomics methods, Adult, Genetic Predisposition to Disease, Middle Aged, White People genetics, Genome-Wide Association Study, Multifactorial Inheritance genetics, Brain pathology
Abstract

Subcortical brain structures are involved in developmental, psychiatric and neurological disorders. Here we performed genome-wide association studies meta-analyses of intracranial and nine subcortical brain volumes (brainstem, caudate nucleus, putamen, hippocampus, globus pallidus, thalamus, nucleus accumbens, amygdala and the ventral diencephalon) in 74,898 participants of European ancestry. We identified 254 independent loci associated with these brain volumes, explaining up to 35% of phenotypic variance. We observed gene expression in specific neural cell types across differentiation time points, including genes involved in intracellular signaling and brain aging-related processes. Polygenic scores for brain volumes showed predictive ability when applied to individuals of diverse ancestries. We observed causal genetic effects of brain volumes with Parkinson's disease and attention-deficit/hyperactivity disorder. Findings implicate specific gene expression patterns in brain development and genetic variants in comorbid neuropsychiatric disorders, which could point to a brain substrate and region of action for risk genes implicated in brain diseases., (© 2024. The Author(s), under exclusive licence to Springer Nature America, Inc.)

Published
2024
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17. General and specific patterns of cortical gene expression as spatial correlates of complex cognitive functioning.

Author

Moodie JE, Harris SE, Harris MA, Buchanan CR, Davies G, Taylor A, Redmond P, Liewald DCM, Valdés Hernández MDC, Shenkin S, Russ TC, Muñoz Maniega S, Luciano M, Corley J, Stolicyn A, Shen X, Steele D, Waiter G, Sandu AL, Bastin ME, Wardlaw JM, McIntosh A, Whalley H, Tucker-Drob EM, Deary IJ, and Cox SR

Subjects
Humans, Cognition physiology, Brain Mapping, Gene Expression, Magnetic Resonance Imaging, Brain physiology, Mental Disorders metabolism
Abstract

Gene expression varies across the brain. This spatial patterning denotes specialised support for particular brain functions. However, the way that a given gene's expression fluctuates across the brain may be governed by general rules. Quantifying patterns of spatial covariation across genes would offer insights into the molecular characteristics of brain areas supporting, for example, complex cognitive functions. Here, we use principal component analysis to separate general and unique gene regulatory associations with cortical substrates of cognition. We find that the region-to-region variation in cortical expression profiles of 8235 genes covaries across two major principal components: gene ontology analysis suggests these dimensions are characterised by downregulation and upregulation of cell-signalling/modification and transcription factors. We validate these patterns out-of-sample and across different data processing choices. Brain regions more strongly implicated in general cognitive functioning (g; 3 cohorts, total meta-analytic N = 39,519) tend to be more balanced between downregulation and upregulation of both major components (indicated by regional component scores). We then identify a further 29 genes as candidate cortical spatial correlates of g, beyond the patterning of the two major components (|β| range = 0.18 to 0.53). Many of these genes have been previously associated with clinical neurodegenerative and psychiatric disorders, or with other health-related phenotypes. The results provide insights into the cortical organisation of gene expression and its association with individual differences in cognitive functioning., (© 2024 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.)

Published
2024
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18. Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications.

Author

Sterenborg RBTM, Steinbrenner I, Li Y, Bujnis MN, Naito T, Marouli E, Galesloot TE, Babajide O, Andreasen L, Astrup A, Åsvold BO, Bandinelli S, Beekman M, Beilby JP, Bork-Jensen J, Boutin T, Brody JA, Brown SJ, Brumpton B, Campbell PJ, Cappola AR, Ceresini G, Chaker L, Chasman DI, Concas MP, Coutinho de Almeida R, Cross SM, Cucca F, Deary IJ, Kjaergaard AD, Echouffo Tcheugui JB, Ellervik C, Eriksson JG, Ferrucci L, Freudenberg J, Fuchsberger C, Gieger C, Giulianini F, Gögele M, Graham SE, Grarup N, Gunjača I, Hansen T, Harding BN, Harris SE, Haunsø S, Hayward C, Hui J, Ittermann T, Jukema JW, Kajantie E, Kanters JK, Kårhus LL, Kiemeney LALM, Kloppenburg M, Kühnel B, Lahti J, Langenberg C, Lapauw B, Leese G, Li S, Liewald DCM, Linneberg A, Lominchar JVT, Luan J, Martin NG, Matana A, Meima ME, Meitinger T, Meulenbelt I, Mitchell BD, Møllehave LT, Mora S, Naitza S, Nauck M, Netea-Maier RT, Noordam R, Nursyifa C, Okada Y, Onano S, Papadopoulou A, Palmer CNA, Pattaro C, Pedersen O, Peters A, Pietzner M, Polašek O, Pramstaller PP, Psaty BM, Punda A, Ray D, Redmond P, Richards JB, Ridker PM, Russ TC, Ryan KA, Olesen MS, Schultheiss UT, Selvin E, Siddiqui MK, Sidore C, Slagboom PE, Sørensen TIA, Soto-Pedre E, Spector TD, Spedicati B, Srinivasan S, Starr JM, Stott DJ, Tanaka T, Torlak V, Trompet S, Tuhkanen J, Uitterlinden AG, van den Akker EB, van den Eynde T, van der Klauw MM, van Heemst D, Verroken C, Visser WE, Vojinovic D, Völzke H, Waldenberger M, Walsh JP, Wareham NJ, Weiss S, Willer CJ, Wilson SG, Wolffenbuttel BHR, Wouters HJCM, Wright MJ, Yang Q, Zemunik T, Zhou W, Zhu G, Zöllner S, Smit JWA, Peeters RP, Köttgen A, Teumer A, and Medici M

Subjects
Humans, Genome-Wide Association Study, Triiodothyronine metabolism, Thyrotropin metabolism, Thyroid Gland metabolism, Thyroxine metabolism
Abstract

To date only a fraction of the genetic footprint of thyroid function has been clarified. We report a genome-wide association study meta-analysis of thyroid function in up to 271,040 individuals of European ancestry, including reference range thyrotropin (TSH), free thyroxine (FT4), free and total triiodothyronine (T3), proxies for metabolism (T3/FT4 ratio) as well as dichotomized high and low TSH levels. We revealed 259 independent significant associations for TSH (61% novel), 85 for FT4 (67% novel), and 62 novel signals for the T3 related traits. The loci explained 14.1%, 6.0%, 9.5% and 1.1% of the total variation in TSH, FT4, total T3 and free T3 concentrations, respectively. Genetic correlations indicate that TSH associated loci reflect the thyroid function determined by free T3, whereas the FT4 associations represent the thyroid hormone metabolism. Polygenic risk score and Mendelian randomization analyses showed the effects of genetically determined variation in thyroid function on various clinical outcomes, including cardiovascular risk factors and diseases, autoimmune diseases, and cancer. In conclusion, our results improve the understanding of thyroid hormone physiology and highlight the pleiotropic effects of thyroid function on various diseases., (© 2024. The Author(s).)

Published
2024
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19. The contributions of mitochondrial and nuclear mitochondrial genetic variation to neuroticism.

Author

Xia C, Pickett SJ, Liewald DCM, Weiss A, Hudson G, and Hill WD

Subjects
Humans, DNA, Mitochondrial genetics, Genetic Variation, Haplotypes, Genome-Wide Association Study, Mitochondria genetics, Neuroticism
Abstract

Neuroticism is a heritable trait composed of separate facets, each conferring different levels of protection or risk, to health. By examining mitochondrial DNA in 269,506 individuals, we show mitochondrial haplogroups explain 0.07-0.01% of variance in neuroticism and identify five haplogroup and 15 mitochondria-marker associations across a general factor of neuroticism, and two special factors of anxiety/tension, and worry/vulnerability with effect sizes of the same magnitude as autosomal variants. Within-haplogroup genome-wide association studies identified H-haplogroup-specific autosomal effects explaining 1.4% variance of worry/vulnerability. These H-haplogroup-specific autosomal effects show a pleiotropic relationship with cognitive, physical and mental health that differs from that found when assessing autosomal effects across haplogroups. We identify interactions between chromosome 9 regions and mitochondrial haplogroups at P < 5 × 10 -8 , revealing associations between general neuroticism and anxiety/tension with brain-specific gene co-expression networks. These results indicate that the mitochondrial genome contributes toward neuroticism and the autosomal links between neuroticism and health., (© 2023. The Author(s).)

Published
2023
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20. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci.

Author

de las Fuentes L, Sung YJ, Noordam R, Winkler T, Feitosa MF, Schwander K, Bentley AR, Brown MR, Guo X, Manning A, Chasman DI, Aschard H, Bartz TM, Bielak LF, Campbell A, Cheng CY, Dorajoo R, Hartwig FP, Horimoto ARVR, Li C, Li-Gao R, Liu Y, Marten J, Musani SK, Ntalla I, Rankinen T, Richard M, Sim X, Smith AV, Tajuddin SM, Tayo BO, Vojinovic D, Warren HR, Xuan D, Alver M, Boissel M, Chai JF, Chen X, Christensen K, Divers J, Evangelou E, Gao C, Girotto G, Harris SE, He M, Hsu FC, Kühnel B, Laguzzi F, Li X, Lyytikäinen LP, Nolte IM, Poveda A, Rauramaa R, Riaz M, Rueedi R, Shu XO, Snieder H, Sofer T, Takeuchi F, Verweij N, Ware EB, Weiss S, Yanek LR, Amin N, Arking DE, Arnett DK, Bergmann S, Boerwinkle E, Brody JA, Broeckel U, Brumat M, Burke G, Cabrera CP, Canouil M, Chee ML, Chen YI, Cocca M, Connell J, de Silva HJ, de Vries PS, Eiriksdottir G, Faul JD, Fisher V, Forrester T, Fox EF, Friedlander Y, Gao H, Gigante B, Giulianini F, Gu CC, Gu D, Harris TB, He J, Heikkinen S, Heng CK, Hunt S, Ikram MA, Irvin MR, Kähönen M, Kavousi M, Khor CC, Kilpeläinen TO, Koh WP, Komulainen P, Kraja AT, Krieger JE, Langefeld CD, Li Y, Liang J, Liewald DCM, Liu CT, Liu J, Lohman KK, Mägi R, McKenzie CA, Meitinger T, Metspalu A, Milaneschi Y, Milani L, Mook-Kanamori DO, Nalls MA, Nelson CP, Norris JM, O'Connell J, Ogunniyi A, Padmanabhan S, Palmer ND, Pedersen NL, Perls T, Peters A, Petersmann A, Peyser PA, Polasek O, Porteous DJ, Raffel LJ, Rice TK, Rotter JI, Rudan I, Rueda-Ochoa OL, Sabanayagam C, Salako BL, Schreiner PJ, Shikany JM, Sidney SS, Sims M, Sitlani CM, Smith JA, Starr JM, Strauch K, Swertz MA, Teumer A, Tham YC, Uitterlinden AG, Vaidya D, van der Ende MY, Waldenberger M, Wang L, Wang YX, Wei WB, Weir DR, Wen W, Yao J, Yu B, Yu C, Yuan JM, Zhao W, Zonderman AB, Becker DM, Bowden DW, Deary IJ, Dörr M, Esko T, Freedman BI, Froguel P, Gasparini P, Gieger C, Jonas JB, Kammerer CM, Kato N, Lakka TA, Leander K, Lehtimäki T, Magnusson PKE, Marques-Vidal P, Penninx BWJH, Samani NJ, van der Harst P, Wagenknecht LE, Wu T, Zheng W, Zhu X, Bouchard C, Cooper RS, Correa A, Evans MK, Gudnason V, Hayward C, Horta BL, Kelly TN, Kritchevsky SB, Levy D, Palmas WR, Pereira AC, Province MM, Psaty BM, Ridker PM, Rotimi CN, Tai ES, van Dam RM, van Duijn CM, Wong TY, Rice K, Gauderman WJ, Morrison AC, North KE, Kardia SLR, Caulfield MJ, Elliott P, Munroe PB, Franks PW, Rao DC, and Fornage M

Subjects
Blood Pressure genetics, Epistasis, Genetic, Genetic Loci, Humans, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Hypertension genetics
Abstract

Educational attainment is widely used as a surrogate for socioeconomic status (SES). Low SES is a risk factor for hypertension and high blood pressure (BP). To identify novel BP loci, we performed multi-ancestry meta-analyses accounting for gene-educational attainment interactions using two variables, "Some College" (yes/no) and "Graduated College" (yes/no). Interactions were evaluated using both a 1 degree of freedom (DF) interaction term and a 2DF joint test of genetic and interaction effects. Analyses were performed for systolic BP, diastolic BP, mean arterial pressure, and pulse pressure. We pursued genome-wide interrogation in Stage 1 studies (N = 117 438) and follow-up on promising variants in Stage 2 studies (N = 293 787) in five ancestry groups. Through combined meta-analyses of Stages 1 and 2, we identified 84 known and 18 novel BP loci at genome-wide significance level (P < 5 × 10 -8 ). Two novel loci were identified based on the 1DF test of interaction with educational attainment, while the remaining 16 loci were identified through the 2DF joint test of genetic and interaction effects. Ten novel loci were identified in individuals of African ancestry. Several novel loci show strong biological plausibility since they involve physiologic systems implicated in BP regulation. They include genes involved in the central nervous system-adrenal signaling axis (ZDHHC17, CADPS, PIK3C2G), vascular structure and function (GNB3, CDON), and renal function (HAS2 and HAS2-AS1, SLIT3). Collectively, these findings suggest a role of educational attainment or SES in further dissection of the genetic architecture of BP., (© 2020. The Author(s), under exclusive licence to Springer Nature Limited.)

Published
2021
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21. Association of common genetic variants with brain microbleeds: A genome-wide association study.

Author

Knol MJ, Lu D, Traylor M, Adams HHH, Romero JRJ, Smith AV, Fornage M, Hofer E, Liu J, Hostettler IC, Luciano M, Trompet S, Giese AK, Hilal S, van den Akker EB, Vojinovic D, Li S, Sigurdsson S, van der Lee SJ, Jack CR Jr, Wilson D, Yilmaz P, Satizabal CL, Liewald DCM, van der Grond J, Chen C, Saba Y, van der Lugt A, Bastin ME, Windham BG, Cheng CY, Pirpamer L, Kantarci K, Himali JJ, Yang Q, Morris Z, Beiser AS, Tozer DJ, Vernooij MW, Amin N, Beekman M, Koh JY, Stott DJ, Houlden H, Schmidt R, Gottesman RF, MacKinnon AD, DeCarli C, Gudnason V, Deary IJ, van Duijn CM, Slagboom PE, Wong TY, Rost NS, Jukema JW, Mosley TH, Werring DJ, Schmidt H, Wardlaw JM, Ikram MA, Seshadri S, Launer LJ, and Markus HS

Subjects
Aged, Aged, 80 and over, Alleles, Apolipoprotein E2 genetics, Case-Control Studies, Cerebral Hemorrhage diagnostic imaging, Cerebral Hemorrhage epidemiology, Cerebral Small Vessel Diseases epidemiology, Cohort Studies, Female, Genetic Predisposition to Disease, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Polymorphism, Single Nucleotide, Risk, White Matter diagnostic imaging, Apolipoprotein E4 genetics, Apolipoproteins E genetics, Cerebral Hemorrhage genetics, Cerebral Hemorrhage pathology, Cerebral Small Vessel Diseases genetics, Genome-Wide Association Study, White Matter pathology
Abstract

Objective: To identify common genetic variants associated with the presence of brain microbleeds (BMBs)., Methods: We performed genome-wide association studies in 11 population-based cohort studies and 3 case-control or case-only stroke cohorts. Genotypes were imputed to the Haplotype Reference Consortium or 1000 Genomes reference panel. BMBs were rated on susceptibility-weighted or T2*-weighted gradient echo MRI sequences, and further classified as lobar or mixed (including strictly deep and infratentorial, possibly with lobar BMB). In a subset, we assessed the effects of APOE ε2 and ε4 alleles on BMB counts. We also related previously identified cerebral small vessel disease variants to BMBs., Results: BMBs were detected in 3,556 of the 25,862 participants, of which 2,179 were strictly lobar and 1,293 mixed. One locus in the APOE region reached genome-wide significance for its association with BMB (lead single nucleotide polymorphism rs769449; odds ratio [OR] any BMB [95% confidence interval (CI)] 1.33 [1.21-1.45]; p = 2.5 × 10 -10 ). APOE ε4 alleles were associated with strictly lobar (OR [95% CI] 1.34 [1.19-1.50]; p = 1.0 × 10 -6 ) but not with mixed BMB counts (OR [95% CI] 1.04 [0.86-1.25]; p = 0.68). APOE ε2 alleles did not show associations with BMB counts. Variants previously related to deep intracerebral hemorrhage and lacunar stroke, and a risk score of cerebral white matter hyperintensity variants, were associated with BMB., Conclusions: Genetic variants in the APOE region are associated with the presence of BMB, most likely due to the APOE ε4 allele count related to a higher number of strictly lobar BMBs. Genetic predisposition to small vessel disease confers risk of BMB, indicating genetic overlap with other cerebral small vessel disease markers., (Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.)

Published
2020
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22. Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income.

Author

Hill WD, Davies NM, Ritchie SJ, Skene NG, Bryois J, Bell S, Di Angelantonio E, Roberts DJ, Xueyi S, Davies G, Liewald DCM, Porteous DJ, Hayward C, Butterworth AS, McIntosh AM, Gale CR, and Deary IJ

Subjects
Adult, Aged, Female, Genotype, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, United Kingdom, Genome-Wide Association Study, Income statistics & numerical data, Intelligence genetics, Quantitative Trait Loci, Social Class
Abstract

Socioeconomic position (SEP) is a multi-dimensional construct reflecting (and influencing) multiple socio-cultural, physical, and environmental factors. In a sample of 286,301 participants from UK Biobank, we identify 30 (29 previously unreported) independent-loci associated with income. Using a method to meta-analyze data from genetically-correlated traits, we identify an additional 120 income-associated loci. These loci show clear evidence of functionality, with transcriptional differences identified across multiple cortical tissues, and links to GABAergic and serotonergic neurotransmission. By combining our genome wide association study on income with data from eQTL studies and chromatin interactions, 24 genes are prioritized for follow up, 18 of which were previously associated with intelligence. We identify intelligence as one of the likely causal, partly-heritable phenotypes that might bridge the gap between molecular genetic inheritance and phenotypic consequence in terms of income differences. These results indicate that, in modern era Great Britain, genetic effects contribute towards some of the observed socioeconomic inequalities.

Published
2019
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23. Genetic architecture of subcortical brain structures in 38,851 individuals.

Author

Satizabal CL, Adams HHH, Hibar DP, White CC, Knol MJ, Stein JL, Scholz M, Sargurupremraj M, Jahanshad N, Roshchupkin GV, Smith AV, Bis JC, Jian X, Luciano M, Hofer E, Teumer A, van der Lee SJ, Yang J, Yanek LR, Lee TV, Li S, Hu Y, Koh JY, Eicher JD, Desrivières S, Arias-Vasquez A, Chauhan G, Athanasiu L, Rentería ME, Kim S, Hoehn D, Armstrong NJ, Chen Q, Holmes AJ, den Braber A, Kloszewska I, Andersson M, Espeseth T, Grimm O, Abramovic L, Alhusaini S, Milaneschi Y, Papmeyer M, Axelsson T, Ehrlich S, Roiz-Santiañez R, Kraemer B, Håberg AK, Jones HJ, Pike GB, Stein DJ, Stevens A, Bralten J, Vernooij MW, Harris TB, Filippi I, Witte AV, Guadalupe T, Wittfeld K, Mosley TH, Becker JT, Doan NT, Hagenaars SP, Saba Y, Cuellar-Partida G, Amin N, Hilal S, Nho K, Mirza-Schreiber N, Arfanakis K, Becker DM, Ames D, Goldman AL, Lee PH, Boomsma DI, Lovestone S, Giddaluru S, Le Hellard S, Mattheisen M, Bohlken MM, Kasperaviciute D, Schmaal L, Lawrie SM, Agartz I, Walton E, Tordesillas-Gutierrez D, Davies GE, Shin J, Ipser JC, Vinke LN, Hoogman M, Jia T, Burkhardt R, Klein M, Crivello F, Janowitz D, Carmichael O, Haukvik UK, Aribisala BS, Schmidt H, Strike LT, Cheng CY, Risacher SL, Pütz B, Fleischman DA, Assareh AA, Mattay VS, Buckner RL, Mecocci P, Dale AM, Cichon S, Boks MP, Matarin M, Penninx BWJH, Calhoun VD, Chakravarty MM, Marquand AF, Macare C, Kharabian Masouleh S, Oosterlaan J, Amouyel P, Hegenscheid K, Rotter JI, Schork AJ, Liewald DCM, de Zubicaray GI, Wong TY, Shen L, Sämann PG, Brodaty H, Roffman JL, de Geus EJC, Tsolaki M, Erk S, van Eijk KR, Cavalleri GL, van der Wee NJA, McIntosh AM, Gollub RL, Bulayeva KB, Bernard M, Richards JS, Himali JJ, Loeffler M, Rommelse N, Hoffmann W, Westlye LT, Valdés Hernández MC, Hansell NK, van Erp TGM, Wolf C, Kwok JBJ, Vellas B, Heinz A, Olde Loohuis LM, Delanty N, Ho BC, Ching CRK, Shumskaya E, Singh B, Hofman A, van der Meer D, Homuth G, Psaty BM, Bastin ME, Montgomery GW, Foroud TM, Reppermund S, Hottenga JJ, Simmons A, Meyer-Lindenberg A, Cahn W, Whelan CD, van Donkelaar MMJ, Yang Q, Hosten N, Green RC, Thalamuthu A, Mohnke S, Hulshoff Pol HE, Lin H, Jack CR Jr, Schofield PR, Mühleisen TW, Maillard P, Potkin SG, Wen W, Fletcher E, Toga AW, Gruber O, Huentelman M, Davey Smith G, Launer LJ, Nyberg L, Jönsson EG, Crespo-Facorro B, Koen N, Greve DN, Uitterlinden AG, Weinberger DR, Steen VM, Fedko IO, Groenewold NA, Niessen WJ, Toro R, Tzourio C, Longstreth WT Jr, Ikram MK, Smoller JW, van Tol MJ, Sussmann JE, Paus T, Lemaître H, Schroeter ML, Mazoyer B, Andreassen OA, Holsboer F, Depondt C, Veltman DJ, Turner JA, Pausova Z, Schumann G, van Rooij D, Djurovic S, Deary IJ, McMahon KL, Müller-Myhsok B, Brouwer RM, Soininen H, Pandolfo M, Wassink TH, Cheung JW, Wolfers T, Martinot JL, Zwiers MP, Nauck M, Melle I, Martin NG, Kanai R, Westman E, Kahn RS, Sisodiya SM, White T, Saremi A, van Bokhoven H, Brunner HG, Völzke H, Wright MJ, van 't Ent D, Nöthen MM, Ophoff RA, Buitelaar JK, Fernández G, Sachdev PS, Rietschel M, van Haren NEM, Fisher SE, Beiser AS, Francks C, Saykin AJ, Mather KA, Romanczuk-Seiferth N, Hartman CA, DeStefano AL, Heslenfeld DJ, Weiner MW, Walter H, Hoekstra PJ, Nyquist PA, Franke B, Bennett DA, Grabe HJ, Johnson AD, Chen C, van Duijn CM, Lopez OL, Fornage M, Wardlaw JM, Schmidt R, DeCarli C, De Jager PL, Villringer A, Debette S, Gudnason V, Medland SE, Shulman JM, Thompson PM, Seshadri S, and Ikram MA

Subjects
Adult, Aged, Animals, Cohort Studies, Drosophila melanogaster genetics, Drosophila melanogaster growth & development, Humans, Magnetic Resonance Imaging, Middle Aged, Organ Size, Brain anatomy & histology, Brain metabolism, Drosophila melanogaster metabolism, Genetic Variation, Genome-Wide Association Study, Neurodevelopmental Disorders genetics, Neurodevelopmental Disorders pathology
Abstract

Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.

Published
2019
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24. Author Correction: Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function.

Author

Davies G, Lam M, Harris SE, Trampush JW, Luciano M, Hill WD, Hagenaars SP, Ritchie SJ, Marioni RE, Fawns-Ritchie C, Liewald DCM, Okely JA, Ahola-Olli AV, Barnes CLK, Bertram L, Bis JC, Burdick KE, Christoforou A, DeRosse P, Djurovic S, Espeseth T, Giakoumaki S, Giddaluru S, Gustavson DE, Hayward C, Hofer E, Ikram MA, Karlsson R, Knowles E, Lahti J, Leber M, Li S, Mather KA, Melle I, Morris D, Oldmeadow C, Palviainen T, Payton A, Pazoki R, Petrovic K, Reynolds CA, Sargurupremraj M, Scholz M, Smith JA, Smith AV, Terzikhan N, Thalamuthu A, Trompet S, van der Lee SJ, Ware EB, Windham BG, Wright MJ, Yang J, Yu J, Ames D, Amin N, Amouyel P, Andreassen OA, Armstrong NJ, Assareh AA, Attia JR, Attix D, Avramopoulos D, Bennett DA, Böhmer AC, Boyle PA, Brodaty H, Campbell H, Cannon TD, Cirulli ET, Congdon E, Conley ED, Corley J, Cox SR, Dale AM, Dehghan A, Dick D, Dickinson D, Eriksson JG, Evangelou E, Faul JD, Ford I, Freimer NA, Gao H, Giegling I, Gillespie NA, Gordon SD, Gottesman RF, Griswold ME, Gudnason V, Harris TB, Hartmann AM, Hatzimanolis A, Heiss G, Holliday EG, Joshi PK, Kähönen M, Kardia SLR, Karlsson I, Kleineidam L, Knopman DS, Kochan NA, Konte B, Kwok JB, Le Hellard S, Lee T, Lehtimäki T, Li SC, Lill CM, Liu T, Koini M, London E, Longstreth WT Jr, Lopez OL, Loukola A, Luck T, Lundervold AJ, Lundquist A, Lyytikäinen LP, Martin NG, Montgomery GW, Murray AD, Need AC, Noordam R, Nyberg L, Ollier W, Papenberg G, Pattie A, Polasek O, Poldrack RA, Psaty BM, Reppermund S, Riedel-Heller SG, Rose RJ, Rotter JI, Roussos P, Rovio SP, Saba Y, Sabb FW, Sachdev PS, Satizabal CL, Schmid M, Scott RJ, Scult MA, Simino J, Slagboom PE, Smyrnis N, Soumaré A, Stefanis NC, Stott DJ, Straub RE, Sundet K, Taylor AM, Taylor KD, Tzoulaki I, Tzourio C, Uitterlinden A, Vitart V, Voineskos AN, Kaprio J, Wagner M, Wagner H, Weinhold L, Wen KH, Widen E, Yang Q, Zhao W, Adams HHH, Arking DE, Bilder RM, Bitsios P, Boerwinkle E, Chiba-Falek O, Corvin A, De Jager PL, Debette S, Donohoe G, Elliott P, Fitzpatrick AL, Gill M, Glahn DC, Hägg S, Hansell NK, Hariri AR, Ikram MK, Jukema JW, Vuoksimaa E, Keller MC, Kremen WS, Launer L, Lindenberger U, Palotie A, Pedersen NL, Pendleton N, Porteous DJ, Räikkönen K, Raitakari OT, Ramirez A, Reinvang I, Rudan I, Dan Rujescu, Schmidt R, Schmidt H, Schofield PW, Schofield PR, Starr JM, Steen VM, Trollor JN, Turner ST, Van Duijn CM, Villringer A, Weinberger DR, Weir DR, Wilson JF, Malhotra A, McIntosh AM, Gale CR, Seshadri S, Mosley TH Jr, Bressler J, Lencz T, and Deary IJ

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.

Published
2019
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25. Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation.

Author

Teumer A, Chaker L, Groeneweg S, Li Y, Di Munno C, Barbieri C, Schultheiss UT, Traglia M, Ahluwalia TS, Akiyama M, Appel EVR, Arking DE, Arnold A, Astrup A, Beekman M, Beilby JP, Bekaert S, Boerwinkle E, Brown SJ, De Buyzere M, Campbell PJ, Ceresini G, Cerqueira C, Cucca F, Deary IJ, Deelen J, Eckardt KU, Ekici AB, Eriksson JG, Ferrrucci L, Fiers T, Fiorillo E, Ford I, Fox CS, Fuchsberger C, Galesloot TE, Gieger C, Gögele M, De Grandi A, Grarup N, Greiser KH, Haljas K, Hansen T, Harris SE, van Heemst D, den Heijer M, Hicks AA, den Hollander W, Homuth G, Hui J, Ikram MA, Ittermann T, Jensen RA, Jing J, Jukema JW, Kajantie E, Kamatani Y, Kasbohm E, Kaufman JM, Kiemeney LA, Kloppenburg M, Kronenberg F, Kubo M, Lahti J, Lapauw B, Li S, Liewald DCM, Lim EM, Linneberg A, Marina M, Mascalzoni D, Matsuda K, Medenwald D, Meisinger C, Meulenbelt I, De Meyer T, Meyer Zu Schwabedissen HE, Mikolajczyk R, Moed M, Netea-Maier RT, Nolte IM, Okada Y, Pala M, Pattaro C, Pedersen O, Petersmann A, Porcu E, Postmus I, Pramstaller PP, Psaty BM, Ramos YFM, Rawal R, Redmond P, Richards JB, Rietzschel ER, Rivadeneira F, Roef G, Rotter JI, Sala CF, Schlessinger D, Selvin E, Slagboom PE, Soranzo N, Sørensen TIA, Spector TD, Starr JM, Stott DJ, Taes Y, Taliun D, Tanaka T, Thuesen B, Tiller D, Toniolo D, Uitterlinden AG, Visser WE, Walsh JP, Wilson SG, Wolffenbuttel BHR, Yang Q, Zheng HF, Cappola A, Peeters RP, Naitza S, Völzke H, Sanna S, Köttgen A, Visser TJ, and Medici M

Subjects
2-Aminoadipate Transaminase genetics, Animals, Biological Transport, COS Cells, Chlorocebus aethiops, Genome-Wide Association Study, Humans, Hyperthyroidism genetics, Hyperthyroidism physiopathology, Hypothyroidism genetics, Hypothyroidism physiopathology, Polymorphism, Single Nucleotide, Risk Factors, Sodium-Phosphate Cotransporter Proteins, Type I genetics, Thyroid Gland metabolism, Thyroid Gland physiopathology, Thyroid Hormones metabolism, White People, 2-Aminoadipate Transaminase metabolism, Gene Expression Regulation genetics, Sodium-Phosphate Cotransporter Proteins, Type I metabolism, Thyroid Hormones genetics, Thyrotropin metabolism
Abstract

Thyroid dysfunction is an important public health problem, which affects 10% of the general population and increases the risk of cardiovascular morbidity and mortality. Many aspects of thyroid hormone regulation have only partly been elucidated, including its transport, metabolism, and genetic determinants. Here we report a large meta-analysis of genome-wide association studies for thyroid function and dysfunction, testing 8 million genetic variants in up to 72,167 individuals. One-hundred-and-nine independent genetic variants are associated with these traits. A genetic risk score, calculated to assess their combined effects on clinical end points, shows significant associations with increased risk of both overt (Graves' disease) and subclinical thyroid disease, as well as clinical complications. By functional follow-up on selected signals, we identify a novel thyroid hormone transporter (SLC17A4) and a metabolizing enzyme (AADAT). Together, these results provide new knowledge about thyroid hormone physiology and disease, opening new possibilities for therapeutic targets.

Published
2018
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26. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits.

Author

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

Subjects
Adult, Aged, Aged, 80 and over, Cardiovascular Diseases epidemiology, Cardiovascular Diseases genetics, Cells, Cultured, Female, Genetic Loci, Genetic Predisposition to Disease, Genetic Testing methods, Genetics, Population methods, Genome-Wide Association Study, Human Umbilical Vein Endothelial Cells, Humans, Hypertension genetics, Life Style, Male, Middle Aged, Polymorphism, Single Nucleotide, Risk Factors, Blood Pressure genetics, Quantitative Trait Loci
Abstract

High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.

Published
2018
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27. Sex Differences in the Adult Human Brain: Evidence from 5216 UK Biobank Participants.

Author

Ritchie SJ, Cox SR, Shen X, Lombardo MV, Reus LM, Alloza C, Harris MA, Alderson HL, Hunter S, Neilson E, Liewald DCM, Auyeung B, Whalley HC, Lawrie SM, Gale CR, Bastin ME, McIntosh AM, and Deary IJ

Subjects
Adult, Aged, Brain diagnostic imaging, Community Health Planning, Connectome, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Oxygen blood, Rest, United Kingdom, White Matter diagnostic imaging, Biological Specimen Banks statistics & numerical data, Brain physiology, Brain Mapping, Sex Characteristics
Abstract

Sex differences in the human brain are of interest for many reasons: for example, there are sex differences in the observed prevalence of psychiatric disorders and in some psychological traits that brain differences might help to explain. We report the largest single-sample study of structural and functional sex differences in the human brain (2750 female, 2466 male participants; mean age 61.7 years, range 44-77 years). Males had higher raw volumes, raw surface areas, and white matter fractional anisotropy; females had higher raw cortical thickness and higher white matter tract complexity. There was considerable distributional overlap between the sexes. Subregional differences were not fully attributable to differences in total volume, total surface area, mean cortical thickness, or height. There was generally greater male variance across the raw structural measures. Functional connectome organization showed stronger connectivity for males in unimodal sensorimotor cortices, and stronger connectivity for females in the default mode network. This large-scale study provides a foundation for attempts to understand the causes and consequences of sex differences in adult brain structure and function.

Published
2018
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28. Genetic contributions to Trail Making Test performance in UK Biobank.

Author

Hagenaars SP, Cox SR, Hill WD, Davies G, Liewald DCM, Harris SE, McIntosh AM, Gale CR, and Deary IJ

Subjects
Adult, Aged, Biological Specimen Banks, Biomarkers, Cognition physiology, Female, Genetic Association Studies methods, Humans, Male, Middle Aged, Multifactorial Inheritance genetics, Polymorphism, Single Nucleotide genetics, Psychometrics methods, Reproducibility of Results, Trail Making Test statistics & numerical data, United Kingdom, Executive Function physiology, Intelligence genetics
Abstract

The Trail Making Test (TMT) is a widely used test of executive function and has been thought to be strongly associated with general cognitive function. We examined the genetic architecture of the TMT and its shared genetic aetiology with other tests of cognitive function in 23 821 participants from UK Biobank. The single-nucleotide polymorphism-based heritability estimates for trail-making measures were 7.9% (part A), 22.4% (part B) and 17.6% (part B-part A). Significant genetic correlations were identified between trail-making measures and verbal-numerical reasoning (r g >0.6), general cognitive function (r g >0.6), processing speed (r g >0.7) and memory (r g >0.3). Polygenic profile analysis indicated considerable shared genetic aetiology between trail making, general cognitive function, processing speed and memory (standardized β between 0.03 and 0.08). These results suggest that trail making is both phenotypically and genetically strongly associated with general cognitive function and processing speed.

Published
2018
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29. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function.

Author

Davies G, Lam M, Harris SE, Trampush JW, Luciano M, Hill WD, Hagenaars SP, Ritchie SJ, Marioni RE, Fawns-Ritchie C, Liewald DCM, Okely JA, Ahola-Olli AV, Barnes CLK, Bertram L, Bis JC, Burdick KE, Christoforou A, DeRosse P, Djurovic S, Espeseth T, Giakoumaki S, Giddaluru S, Gustavson DE, Hayward C, Hofer E, Ikram MA, Karlsson R, Knowles E, Lahti J, Leber M, Li S, Mather KA, Melle I, Morris D, Oldmeadow C, Palviainen T, Payton A, Pazoki R, Petrovic K, Reynolds CA, Sargurupremraj M, Scholz M, Smith JA, Smith AV, Terzikhan N, Thalamuthu A, Trompet S, van der Lee SJ, Ware EB, Windham BG, Wright MJ, Yang J, Yu J, Ames D, Amin N, Amouyel P, Andreassen OA, Armstrong NJ, Assareh AA, Attia JR, Attix D, Avramopoulos D, Bennett DA, Böhmer AC, Boyle PA, Brodaty H, Campbell H, Cannon TD, Cirulli ET, Congdon E, Conley ED, Corley J, Cox SR, Dale AM, Dehghan A, Dick D, Dickinson D, Eriksson JG, Evangelou E, Faul JD, Ford I, Freimer NA, Gao H, Giegling I, Gillespie NA, Gordon SD, Gottesman RF, Griswold ME, Gudnason V, Harris TB, Hartmann AM, Hatzimanolis A, Heiss G, Holliday EG, Joshi PK, Kähönen M, Kardia SLR, Karlsson I, Kleineidam L, Knopman DS, Kochan NA, Konte B, Kwok JB, Le Hellard S, Lee T, Lehtimäki T, Li SC, Lill CM, Liu T, Koini M, London E, Longstreth WT Jr, Lopez OL, Loukola A, Luck T, Lundervold AJ, Lundquist A, Lyytikäinen LP, Martin NG, Montgomery GW, Murray AD, Need AC, Noordam R, Nyberg L, Ollier W, Papenberg G, Pattie A, Polasek O, Poldrack RA, Psaty BM, Reppermund S, Riedel-Heller SG, Rose RJ, Rotter JI, Roussos P, Rovio SP, Saba Y, Sabb FW, Sachdev PS, Satizabal CL, Schmid M, Scott RJ, Scult MA, Simino J, Slagboom PE, Smyrnis N, Soumaré A, Stefanis NC, Stott DJ, Straub RE, Sundet K, Taylor AM, Taylor KD, Tzoulaki I, Tzourio C, Uitterlinden A, Vitart V, Voineskos AN, Kaprio J, Wagner M, Wagner H, Weinhold L, Wen KH, Widen E, Yang Q, Zhao W, Adams HHH, Arking DE, Bilder RM, Bitsios P, Boerwinkle E, Chiba-Falek O, Corvin A, De Jager PL, Debette S, Donohoe G, Elliott P, Fitzpatrick AL, Gill M, Glahn DC, Hägg S, Hansell NK, Hariri AR, Ikram MK, Jukema JW, Vuoksimaa E, Keller MC, Kremen WS, Launer L, Lindenberger U, Palotie A, Pedersen NL, Pendleton N, Porteous DJ, Räikkönen K, Raitakari OT, Ramirez A, Reinvang I, Rudan I, Dan Rujescu, Schmidt R, Schmidt H, Schofield PW, Schofield PR, Starr JM, Steen VM, Trollor JN, Turner ST, Van Duijn CM, Villringer A, Weinberger DR, Weir DR, Wilson JF, Malhotra A, McIntosh AM, Gale CR, Seshadri S, Mosley TH Jr, Bressler J, Lencz T, and Deary IJ

Subjects
Adolescent, Adult, Aged, Aged, 80 and over, Genetic Loci genetics, Genetic Predisposition to Disease, Humans, Middle Aged, Polymorphism, Single Nucleotide genetics, Reaction Time genetics, Young Adult, Cognition physiology, Mental Disorders genetics, Multifactorial Inheritance genetics, Neurodegenerative Diseases genetics, Neurodevelopmental Disorders genetics
Abstract

General cognitive function is a prominent and relatively stable human trait that is associated with many important life outcomes. We combine cognitive and genetic data from the CHARGE and COGENT consortia, and UK Biobank (total N = 300,486; age 16-102) and find 148 genome-wide significant independent loci (P < 5 × 10 -8 ) associated with general cognitive function. Within the novel genetic loci are variants associated with neurodegenerative and neurodevelopmental disorders, physical and psychiatric illnesses, and brain structure. Gene-based analyses find 709 genes associated with general cognitive function. Expression levels across the cortex are associated with general cognitive function. Using polygenic scores, up to 4.3% of variance in general cognitive function is predicted in independent samples. We detect significant genetic overlap between general cognitive function, reaction time, and many health variables including eyesight, hypertension, and longevity. In conclusion we identify novel genetic loci and pathways contributing to the heritability of general cognitive function.

Published
2018
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31. Exome-wide association study of plasma lipids in >300,000 individuals.

Author

Liu DJ, Peloso GM, Yu H, Butterworth AS, Wang X, Mahajan A, Saleheen D, Emdin C, Alam D, Alves AC, Amouyel P, Di Angelantonio E, Arveiler D, Assimes TL, Auer PL, Baber U, Ballantyne CM, Bang LE, Benn M, Bis JC, Boehnke M, Boerwinkle E, Bork-Jensen J, Bottinger EP, Brandslund I, Brown M, Busonero F, Caulfield MJ, Chambers JC, Chasman DI, Chen YE, Chen YI, Chowdhury R, Christensen C, Chu AY, Connell JM, Cucca F, Cupples LA, Damrauer SM, Davies G, Deary IJ, Dedoussis G, Denny JC, Dominiczak A, Dubé MP, Ebeling T, Eiriksdottir G, Esko T, Farmaki AE, Feitosa MF, Ferrario M, Ferrieres J, Ford I, Fornage M, Franks PW, Frayling TM, Frikke-Schmidt R, Fritsche LG, Frossard P, Fuster V, Ganesh SK, Gao W, Garcia ME, Gieger C, Giulianini F, Goodarzi MO, Grallert H, Grarup N, Groop L, Grove ML, Gudnason V, Hansen T, Harris TB, Hayward C, Hirschhorn JN, Holmen OL, Huffman J, Huo Y, Hveem K, Jabeen S, Jackson AU, Jakobsdottir J, Jarvelin MR, Jensen GB, Jørgensen ME, Jukema JW, Justesen JM, Kamstrup PR, Kanoni S, Karpe F, Kee F, Khera AV, Klarin D, Koistinen HA, Kooner JS, Kooperberg C, Kuulasmaa K, Kuusisto J, Laakso M, Lakka T, Langenberg C, Langsted A, Launer LJ, Lauritzen T, Liewald DCM, Lin LA, Linneberg A, Loos RJF, Lu Y, Lu X, Mägi R, Malarstig A, Manichaikul A, Manning AK, Mäntyselkä P, Marouli E, Masca NGD, Maschio A, Meigs JB, Melander O, Metspalu A, Morris AP, Morrison AC, Mulas A, Müller-Nurasyid M, Munroe PB, Neville MJ, Nielsen JB, Nielsen SF, Nordestgaard BG, Ordovas JM, Mehran R, O'Donnell CJ, Orho-Melander M, Molony CM, Muntendam P, Padmanabhan S, Palmer CNA, Pasko D, Patel AP, Pedersen O, Perola M, Peters A, Pisinger C, Pistis G, Polasek O, Poulter N, Psaty BM, Rader DJ, Rasheed A, Rauramaa R, Reilly DF, Reiner AP, Renström F, Rich SS, Ridker PM, Rioux JD, Robertson NR, Roden DM, Rotter JI, Rudan I, Salomaa V, Samani NJ, Sanna S, Sattar N, Schmidt EM, Scott RA, Sever P, Sevilla RS, Shaffer CM, Sim X, Sivapalaratnam S, Small KS, Smith AV, Smith BH, Somayajula S, Southam L, Spector TD, Speliotes EK, Starr JM, Stirrups KE, Stitziel N, Strauch K, Stringham HM, Surendran P, Tada H, Tall AR, Tang H, Tardif JC, Taylor KD, Trompet S, Tsao PS, Tuomilehto J, Tybjaerg-Hansen A, van Zuydam NR, Varbo A, Varga TV, Virtamo J, Waldenberger M, Wang N, Wareham NJ, Warren HR, Weeke PE, Weinstock J, Wessel J, Wilson JG, Wilson PWF, Xu M, Yaghootkar H, Young R, Zeggini E, Zhang H, Zheng NS, Zhang W, Zhang Y, Zhou W, Zhou Y, Zoledziewska M, Howson JMM, Danesh J, McCarthy MI, Cowan CA, Abecasis G, Deloukas P, Musunuru K, Willer CJ, and Kathiresan S

Subjects
Coronary Artery Disease blood, Coronary Artery Disease genetics, Diabetes Mellitus, Type 2 blood, Diabetes Mellitus, Type 2 genetics, Genetic Predisposition to Disease genetics, Genotype, Humans, Macular Degeneration blood, Macular Degeneration genetics, Phenotype, Risk Factors, Exome genetics, Genetic Association Studies methods, Genetic Variation, Lipids blood
Abstract

We screened variants on an exome-focused genotyping array in >300,000 participants (replication in >280,000 participants) and identified 444 independent variants in 250 loci significantly associated with total cholesterol (TC), high-density-lipoprotein cholesterol (HDL-C), low-density-lipoprotein cholesterol (LDL-C), and/or triglycerides (TG). At two loci (JAK2 and A1CF), experimental analysis in mice showed lipid changes consistent with the human data. We also found that: (i) beta-thalassemia trait carriers displayed lower TC and were protected from coronary artery disease (CAD); (ii) excluding the CETP locus, there was not a predictable relationship between plasma HDL-C and risk for age-related macular degeneration; (iii) only some mechanisms of lowering LDL-C appeared to increase risk for type 2 diabetes (T2D); and (iv) TG-lowering alleles involved in hepatic production of TG-rich lipoproteins (TM6SF2 and PNPLA3) tracked with higher liver fat, higher risk for T2D, and lower risk for CAD, whereas TG-lowering alleles involved in peripheral lipolysis (LPL and ANGPTL4) had no effect on liver fat but decreased risks for both T2D and CAD.

Published
2017
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32. Molecular genetic contributions to self-rated health.

Author

Harris SE, Hagenaars SP, Davies G, David Hill W, Liewald DCM, Ritchie SJ, Marioni RE, Sudlow CLM, Wardlaw JM, McIntosh AM, Gale CR, and Deary IJ

Subjects
Adult, Aged, Female, Humans, Linkage Disequilibrium, Male, Middle Aged, Mortality trends, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Quantitative Trait, Heritable, United Kingdom, Diagnostic Self Evaluation, Health Status, Molecular Epidemiology methods, Molecular Epidemiology statistics & numerical data
Abstract

Background: Poorer self-rated health (SRH) predicts worse health outcomes, even when adjusted for objective measures of disease at time of rating. Twin studies indicate SRH has a heritability of up to 60% and that its genetic architecture may overlap with that of personality and cognition., Methods: We carried out a genome-wide association study (GWAS) of SRH on 111 749 members of the UK Biobank sample. Univariate genome-wide complex trait analysis (GCTA)-GREML analyses were used to estimate the proportion of variance explained by all common autosomal single nucleotide polymorphisms (SNPs) for SRH. Linkage disequilibrium (LD) score regression and polygenic risk scoring, two complementary methods, were used to investigate pleiotropy between SRH in the UK Biobank and up to 21 health-related and personality and cognitive traits from published GWAS consortia., Results: The GWAS identified 13 independent signals associated with SRH, including several in regions previously associated with diseases or disease-related traits. The strongest signal was on chromosome 2 (rs2360675, P = 1.77 x 10 -10 ) close to KLF7 . A second strong peak was identified on chromosome 6 in the major histocompatibility region (rs76380179, P = 6.15 x 10 -10 ). The proportion of variance in SRH that was explained by all common genetic variants was 13%. Polygenic scores for the following traits and disorders were associated with SRH: cognitive ability, education, neuroticism, body mass index (BMI), longevity, attention-deficit hyperactivity disorder (ADHD), major depressive disorder, schizophrenia, lung function, blood pressure, coronary artery disease, large vessel disease stroke and type 2 diabetes., Conclusions: Individual differences in how people respond to a single item on SRH are partly explained by their genetic propensity to many common psychiatric and physical disorders and psychological traits., (© The Author 2016. Published by Oxford University Press on behalf of the International Epidemiological Association.)

Published
2017
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33. Novel genetic loci associated with hippocampal volume.

Author

Hibar DP, Adams HHH, Jahanshad N, Chauhan G, Stein JL, Hofer E, Renteria ME, Bis JC, Arias-Vasquez A, Ikram MK, Desrivières S, Vernooij MW, Abramovic L, Alhusaini S, Amin N, Andersson M, Arfanakis K, Aribisala BS, Armstrong NJ, Athanasiu L, Axelsson T, Beecham AH, Beiser A, Bernard M, Blanton SH, Bohlken MM, Boks MP, Bralten J, Brickman AM, Carmichael O, Chakravarty MM, Chen Q, Ching CRK, Chouraki V, Cuellar-Partida G, Crivello F, Den Braber A, Doan NT, Ehrlich S, Giddaluru S, Goldman AL, Gottesman RF, Grimm O, Griswold ME, Guadalupe T, Gutman BA, Hass J, Haukvik UK, Hoehn D, Holmes AJ, Hoogman M, Janowitz D, Jia T, Jørgensen KN, Karbalai N, Kasperaviciute D, Kim S, Klein M, Kraemer B, Lee PH, Liewald DCM, Lopez LM, Luciano M, Macare C, Marquand AF, Matarin M, Mather KA, Mattheisen M, McKay DR, Milaneschi Y, Muñoz Maniega S, Nho K, Nugent AC, Nyquist P, Loohuis LMO, Oosterlaan J, Papmeyer M, Pirpamer L, Pütz B, Ramasamy A, Richards JS, Risacher SL, Roiz-Santiañez R, Rommelse N, Ropele S, Rose EJ, Royle NA, Rundek T, Sämann PG, Saremi A, Satizabal CL, Schmaal L, Schork AJ, Shen L, Shin J, Shumskaya E, Smith AV, Sprooten E, Strike LT, Teumer A, Tordesillas-Gutierrez D, Toro R, Trabzuni D, Trompet S, Vaidya D, Van der Grond J, Van der Lee SJ, Van der Meer D, Van Donkelaar MMJ, Van Eijk KR, Van Erp TGM, Van Rooij D, Walton E, Westlye LT, Whelan CD, Windham BG, Winkler AM, Wittfeld K, Woldehawariat G, Wolf C, Wolfers T, Yanek LR, Yang J, Zijdenbos A, Zwiers MP, Agartz I, Almasy L, Ames D, Amouyel P, Andreassen OA, Arepalli S, Assareh AA, Barral S, Bastin ME, Becker DM, Becker JT, Bennett DA, Blangero J, van Bokhoven H, Boomsma DI, Brodaty H, Brouwer RM, Brunner HG, Buckner RL, Buitelaar JK, Bulayeva KB, Cahn W, Calhoun VD, Cannon DM, Cavalleri GL, Cheng CY, Cichon S, Cookson MR, Corvin A, Crespo-Facorro B, Curran JE, Czisch M, Dale AM, Davies GE, De Craen AJM, De Geus EJC, De Jager PL, De Zubicaray GI, Deary IJ, Debette S, DeCarli C, Delanty N, Depondt C, DeStefano A, Dillman A, Djurovic S, Donohoe G, Drevets WC, Duggirala R, Dyer TD, Enzinger C, Erk S, Espeseth T, Fedko IO, Fernández G, Ferrucci L, Fisher SE, Fleischman DA, Ford I, Fornage M, Foroud TM, Fox PT, Francks C, Fukunaga M, Gibbs JR, Glahn DC, Gollub RL, Göring HHH, Green RC, Gruber O, Gudnason V, Guelfi S, Håberg AK, Hansell NK, Hardy J, Hartman CA, Hashimoto R, Hegenscheid K, Heinz A, Le Hellard S, Hernandez DG, Heslenfeld DJ, Ho BC, Hoekstra PJ, Hoffmann W, Hofman A, Holsboer F, Homuth G, Hosten N, Hottenga JJ, Huentelman M, Hulshoff Pol HE, Ikeda M, Jack CR Jr, Jenkinson M, Johnson R, Jönsson EG, Jukema JW, Kahn RS, Kanai R, Kloszewska I, Knopman DS, Kochunov P, Kwok JB, Lawrie SM, Lemaître H, Liu X, Longo DL, Lopez OL, Lovestone S, Martinez O, Martinot JL, Mattay VS, McDonald C, McIntosh AM, McMahon FJ, McMahon KL, Mecocci P, Melle I, Meyer-Lindenberg A, Mohnke S, Montgomery GW, Morris DW, Mosley TH, Mühleisen TW, Müller-Myhsok B, Nalls MA, Nauck M, Nichols TE, Niessen WJ, Nöthen MM, Nyberg L, Ohi K, Olvera RL, Ophoff RA, Pandolfo M, Paus T, Pausova Z, Penninx BWJH, Pike GB, Potkin SG, Psaty BM, Reppermund S, Rietschel M, Roffman JL, Romanczuk-Seiferth N, Rotter JI, Ryten M, Sacco RL, Sachdev PS, Saykin AJ, Schmidt R, Schmidt H, Schofield PR, Sigursson S, Simmons A, Singleton A, Sisodiya SM, Smith C, Smoller JW, Soininen H, Steen VM, Stott DJ, Sussmann JE, Thalamuthu A, Toga AW, Traynor BJ, Troncoso J, Tsolaki M, Tzourio C, Uitterlinden AG, Hernández MCV, Van der Brug M, van der Lugt A, van der Wee NJA, Van Haren NEM, van 't Ent D, Van Tol MJ, Vardarajan BN, Vellas B, Veltman DJ, Völzke H, Walter H, Wardlaw JM, Wassink TH, Weale ME, Weinberger DR, Weiner MW, Wen W, Westman E, White T, Wong TY, Wright CB, Zielke RH, Zonderman AB, Martin NG, Van Duijn CM, Wright MJ, Longstreth WT, Schumann G, Grabe HJ, Franke B, Launer LJ, Medland SE, Seshadri S, Thompson PM, and Ikram MA

Subjects
Adolescent, Adult, Aged, Aged, 80 and over, Alzheimer Disease genetics, Alzheimer Disease physiopathology, Child, Cohort Studies, Dipeptidyl Peptidase 4 genetics, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Glycoproteins genetics, Humans, Male, Methionine Sulfoxide Reductases genetics, Microtubule-Associated Proteins genetics, Middle Aged, Nerve Tissue Proteins genetics, Organ Size, Protein Serine-Threonine Kinases genetics, Young Adult, Hippocampus growth & development
Abstract

The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer's disease (r g =-0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness.

Published
2017
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34. Molecular Genetic Contributions to Social Deprivation and Household Income in UK Biobank.

Author

Hill WD, Hagenaars SP, Marioni RE, Harris SE, Liewald DCM, Davies G, Okbay A, McIntosh AM, Gale CR, and Deary IJ

Subjects
Adult, Aged, Female, Humans, Longitudinal Studies, Male, Middle Aged, United Kingdom, Genome-Wide Association Study, Income, Polymorphism, Single Nucleotide, Social Class
Abstract

Individuals with lower socio-economic status (SES) are at increased risk of physical and mental illnesses and tend to die at an earlier age [1-3]. Explanations for the association between SES and health typically focus on factors that are environmental in origin [4]. However, common SNPs have been found collectively to explain around 18% of the phenotypic variance of an area-based social deprivation measure of SES [5]. Molecular genetic studies have also shown that common physical and psychiatric diseases are partly heritable [6]. It is possible that phenotypic associations between SES and health arise partly due to a shared genetic etiology. We conducted a genome-wide association study (GWAS) on social deprivation and on household income using 112,151 participants of UK Biobank. We find that common SNPs explain 21% of the variation in social deprivation and 11% of household income. Two independent loci attained genome-wide significance for household income, with the most significant SNP in each of these loci being rs187848990 on chromosome 2 and rs8100891 on chromosome 19. Genes in the regions of these SNPs have been associated with intellectual disabilities, schizophrenia, and synaptic plasticity. Extensive genetic correlations were found between both measures of SES and illnesses, anthropometric variables, psychiatric disorders, and cognitive ability. These findings suggest that some SNPs associated with SES are involved in the brain and central nervous system. The genetic associations with SES obviously do not reflect direct causal effects and are probably mediated via other partly heritable variables, including cognitive ability, personality, and health., (Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Published
2016
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35. Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation.

Author

Kato N, Loh M, Takeuchi F, Verweij N, Wang X, Zhang W, Kelly TN, Saleheen D, Lehne B, Leach IM, Drong AW, Abbott J, Wahl S, Tan ST, Scott WR, Campanella G, Chadeau-Hyam M, Afzal U, Ahluwalia TS, Bonder MJ, Chen P, Dehghan A, Edwards TL, Esko T, Go MJ, Harris SE, Hartiala J, Kasela S, Kasturiratne A, Khor CC, Kleber ME, Li H, Yu Mok Z, Nakatochi M, Sapari NS, Saxena R, Stewart AFR, Stolk L, Tabara Y, Teh AL, Wu Y, Wu JY, Zhang Y, Aits I, Da Silva Couto Alves A, Das S, Dorajoo R, Hopewell JC, Kim YK, Koivula RW, Luan J, Lyytikäinen LP, Nguyen QN, Pereira MA, Postmus I, Raitakari OT, Scannell Bryan M, Scott RA, Sorice R, Tragante V, Traglia M, White J, Yamamoto K, Zhang Y, Adair LS, Ahmed A, Akiyama K, Asif R, Aung T, Barroso I, Bjonnes A, Braun TR, Cai H, Chang LC, Chen CH, Cheng CY, Chong YS, Collins R, Courtney R, Davies G, Delgado G, Do LD, Doevendans PA, Gansevoort RT, Gao YT, Grammer TB, Grarup N, Grewal J, Gu D, Wander GS, Hartikainen AL, Hazen SL, He J, Heng CK, Hixson JE, Hofman A, Hsu C, Huang W, Husemoen LLN, Hwang JY, Ichihara S, Igase M, Isono M, Justesen JM, Katsuya T, Kibriya MG, Kim YJ, Kishimoto M, Koh WP, Kohara K, Kumari M, Kwek K, Lee NR, Lee J, Liao J, Lieb W, Liewald DCM, Matsubara T, Matsushita Y, Meitinger T, Mihailov E, Milani L, Mills R, Mononen N, Müller-Nurasyid M, Nabika T, Nakashima E, Ng HK, Nikus K, Nutile T, Ohkubo T, Ohnaka K, Parish S, Paternoster L, Peng H, Peters A, Pham ST, Pinidiyapathirage MJ, Rahman M, Rakugi H, Rolandsson O, Ann Rozario M, Ruggiero D, Sala CF, Sarju R, Shimokawa K, Snieder H, Sparsø T, Spiering W, Starr JM, Stott DJ, Stram DO, Sugiyama T, Szymczak S, Tang WHW, Tong L, Trompet S, Turjanmaa V, Ueshima H, Uitterlinden AG, Umemura S, Vaarasmaki M, van Dam RM, van Gilst WH, van Veldhuisen DJ, Viikari JS, Waldenberger M, Wang Y, Wang A, Wilson R, Wong TY, Xiang YB, Yamaguchi S, Ye X, Young RD, Young TL, Yuan JM, Zhou X, Asselbergs FW, Ciullo M, Clarke R, Deloukas P, Franke A, Franks PW, Franks S, Friedlander Y, Gross MD, Guo Z, Hansen T, Jarvelin MR, Jørgensen T, Jukema JW, Kähönen M, Kajio H, Kivimaki M, Lee JY, Lehtimäki T, Linneberg A, Miki T, Pedersen O, Samani NJ, Sørensen TIA, Takayanagi R, Toniolo D, Ahsan H, Allayee H, Chen YT, Danesh J, Deary IJ, Franco OH, Franke L, Heijman BT, Holbrook JD, Isaacs A, Kim BJ, Lin X, Liu J, März W, Metspalu A, Mohlke KL, Sanghera DK, Shu XO, van Meurs JBJ, Vithana E, Wickremasinghe AR, Wijmenga C, Wolffenbuttel BHW, Yokota M, Zheng W, Zhu D, Vineis P, Kyrtopoulos SA, Kleinjans JCS, McCarthy MI, Soong R, Gieger C, Scott J, Teo YY, He J, Elliott P, Tai ES, van der Harst P, Kooner JS, and Chambers JC

Subjects
Adult, Aged, Aged, 80 and over, Asian People genetics, Cardiovascular Diseases blood, Cardiovascular Diseases ethnology, Cardiovascular Diseases genetics, Female, Genetic Predisposition to Disease ethnology, Genetic Predisposition to Disease genetics, Genetic Variation, Genotype, Humans, Male, Middle Aged, Natriuretic Peptide, Brain blood, Peptide Fragments blood, Polymorphism, Single Nucleotide, Regression Analysis, Risk Factors, White People genetics, Blood Pressure genetics, DNA Methylation, Genetic Loci genetics, Genome-Wide Association Study methods
Abstract

We carried out a trans-ancestry genome-wide association and replication study of blood pressure phenotypes among up to 320,251 individuals of East Asian, European and South Asian ancestry. We find genetic variants at 12 new loci to be associated with blood pressure (P = 3.9 × 10(-11) to 5.0 × 10(-21)). The sentinel blood pressure SNPs are enriched for association with DNA methylation at multiple nearby CpG sites, suggesting that, at some of the loci identified, DNA methylation may lie on the regulatory pathway linking sequence variation to blood pressure. The sentinel SNPs at the 12 new loci point to genes involved in vascular smooth muscle (IGFBP3, KCNK3, PDE3A and PRDM6) and renal (ARHGAP24, OSR1, SLC22A7 and TBX2) function. The new and known genetic variants predict increased left ventricular mass, circulating levels of NT-proBNP, and cardiovascular and all-cause mortality (P = 0.04 to 8.6 × 10(-6)). Our results provide new evidence for the role of DNA methylation in blood pressure regulation.

Published
2015
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36. Directional dominance on stature and cognition in diverse human populations.

Author

Joshi PK, Esko T, Mattsson H, Eklund N, Gandin I, Nutile T, Jackson AU, Schurmann C, Smith AV, Zhang W, Okada Y, Stančáková A, Faul JD, Zhao W, Bartz TM, Concas MP, Franceschini N, Enroth S, Vitart V, Trompet S, Guo X, Chasman DI, O'Connel JR, Corre T, Nongmaithem SS, Chen Y, Mangino M, Ruggiero D, Traglia M, Farmaki AE, Kacprowski T, Bjonnes A, van der Spek A, Wu Y, Giri AK, Yanek LR, Wang L, Hofer E, Rietveld CA, McLeod O, Cornelis MC, Pattaro C, Verweij N, Baumbach C, Abdellaoui A, Warren HR, Vuckovic D, Mei H, Bouchard C, Perry JRB, Cappellani S, Mirza SS, Benton MC, Broeckel U, Medland SE, Lind PA, Malerba G, Drong A, Yengo L, Bielak LF, Zhi D, van der Most PJ, Shriner D, Mägi R, Hemani G, Karaderi T, Wang Z, Liu T, Demuth I, Zhao JH, Meng W, Lataniotis L, van der Laan SW, Bradfield JP, Wood AR, Bonnefond A, Ahluwalia TS, Hall LM, Salvi E, Yazar S, Carstensen L, de Haan HG, Abney M, Afzal U, Allison MA, Amin N, Asselbergs FW, Bakker SJL, Barr RG, Baumeister SE, Benjamin DJ, Bergmann S, Boerwinkle E, Bottinger EP, Campbell A, Chakravarti A, Chan Y, Chanock SJ, Chen C, Chen YI, Collins FS, Connell J, Correa A, Cupples LA, Smith GD, Davies G, Dörr M, Ehret G, Ellis SB, Feenstra B, Feitosa MF, Ford I, Fox CS, Frayling TM, Friedrich N, Geller F, Scotland G, Gillham-Nasenya I, Gottesman O, Graff M, Grodstein F, Gu C, Haley C, Hammond CJ, Harris SE, Harris TB, Hastie ND, Heard-Costa NL, Heikkilä K, Hocking LJ, Homuth G, Hottenga JJ, Huang J, Huffman JE, Hysi PG, Ikram MA, Ingelsson E, Joensuu A, Johansson Å, Jousilahti P, Jukema JW, Kähönen M, Kamatani Y, Kanoni S, Kerr SM, Khan NM, Koellinger P, Koistinen HA, Kooner MK, Kubo M, Kuusisto J, Lahti J, Launer LJ, Lea RA, Lehne B, Lehtimäki T, Liewald DCM, Lind L, Loh M, Lokki ML, London SJ, Loomis SJ, Loukola A, Lu Y, Lumley T, Lundqvist A, Männistö S, Marques-Vidal P, Masciullo C, Matchan A, Mathias RA, Matsuda K, Meigs JB, Meisinger C, Meitinger T, Menni C, Mentch FD, Mihailov E, Milani L, Montasser ME, Montgomery GW, Morrison A, Myers RH, Nadukuru R, Navarro P, Nelis M, Nieminen MS, Nolte IM, O'Connor GT, Ogunniyi A, Padmanabhan S, Palmas WR, Pankow JS, Patarcic I, Pavani F, Peyser PA, Pietilainen K, Poulter N, Prokopenko I, Ralhan S, Redmond P, Rich SS, Rissanen H, Robino A, Rose LM, Rose R, Sala C, Salako B, Salomaa V, Sarin AP, Saxena R, Schmidt H, Scott LJ, Scott WR, Sennblad B, Seshadri S, Sever P, Shrestha S, Smith BH, Smith JA, Soranzo N, Sotoodehnia N, Southam L, Stanton AV, Stathopoulou MG, Strauch K, Strawbridge RJ, Suderman MJ, Tandon N, Tang ST, Taylor KD, Tayo BO, Töglhofer AM, Tomaszewski M, Tšernikova N, Tuomilehto J, Uitterlinden AG, Vaidya D, van Hylckama Vlieg A, van Setten J, Vasankari T, Vedantam S, Vlachopoulou E, Vozzi D, Vuoksimaa E, Waldenberger M, Ware EB, Wentworth-Shields W, Whitfield JB, Wild S, Willemsen G, Yajnik CS, Yao J, Zaza G, Zhu X, Project TBJ, Salem RM, Melbye M, Bisgaard H, Samani NJ, Cusi D, Mackey DA, Cooper RS, Froguel P, Pasterkamp G, Grant SFA, Hakonarson H, Ferrucci L, Scott RA, Morris AD, Palmer CNA, Dedoussis G, Deloukas P, Bertram L, Lindenberger U, Berndt SI, Lindgren CM, Timpson NJ, Tönjes A, Munroe PB, Sørensen TIA, Rotimi CN, Arnett DK, Oldehinkel AJ, Kardia SLR, Balkau B, Gambaro G, Morris AP, Eriksson JG, Wright MJ, Martin NG, Hunt SC, Starr JM, Deary IJ, Griffiths LR, Tiemeier H, Pirastu N, Kaprio J, Wareham NJ, Pérusse L, Wilson JG, Girotto G, Caulfield MJ, Raitakari O, Boomsma DI, Gieger C, van der Harst P, Hicks AA, Kraft P, Sinisalo J, Knekt P, Johannesson M, Magnusson PKE, Hamsten A, Schmidt R, Borecki IB, Vartiainen E, Becker DM, Bharadwaj D, Mohlke KL, Boehnke M, van Duijn CM, Sanghera DK, Teumer A, Zeggini E, Metspalu A, Gasparini P, Ulivi S, Ober C, Toniolo D, Rudan I, Porteous DJ, Ciullo M, Spector TD, Hayward C, Dupuis J, Loos RJF, Wright AF, Chandak GR, Vollenweider P, Shuldiner A, Ridker PM, Rotter JI, Sattar N, Gyllensten U, North KE, Pirastu M, Psaty BM, Weir DR, Laakso M, Gudnason V, Takahashi A, Chambers JC, Kooner JS, Strachan DP, Campbell H, Hirschhorn JN, Perola M, Polašek O, and Wilson JF

Subjects
Biological Evolution, Blood Pressure genetics, Cholesterol, LDL genetics, Cohort Studies, Educational Status, Female, Forced Expiratory Volume genetics, Genome, Human genetics, Humans, Lung Volume Measurements, Male, Phenotype, Body Height genetics, Cognition, Homozygote
Abstract

Homozygosity has long been associated with rare, often devastating, Mendelian disorders, and Darwin was one of the first to recognize that inbreeding reduces evolutionary fitness. However, the effect of the more distant parental relatedness that is common in modern human populations is less well understood. Genomic data now allow us to investigate the effects of homozygosity on traits of public health importance by observing contiguous homozygous segments (runs of homozygosity), which are inferred to be homozygous along their complete length. Given the low levels of genome-wide homozygosity prevalent in most human populations, information is required on very large numbers of people to provide sufficient power. Here we use runs of homozygosity to study 16 health-related quantitative traits in 354,224 individuals from 102 cohorts, and find statistically significant associations between summed runs of homozygosity and four complex traits: height, forced expiratory lung volume in one second, general cognitive ability and educational attainment (P < 1 × 10(-300), 2.1 × 10(-6), 2.5 × 10(-10) and 1.8 × 10(-10), respectively). In each case, increased homozygosity was associated with decreased trait value, equivalent to the offspring of first cousins being 1.2 cm shorter and having 10 months' less education. Similar effect sizes were found across four continental groups and populations with different degrees of genome-wide homozygosity, providing evidence that homozygosity, rather than confounding, directly contributes to phenotypic variance. Contrary to earlier reports in substantially smaller samples, no evidence was seen of an influence of genome-wide homozygosity on blood pressure and low density lipoprotein cholesterol, or ten other cardio-metabolic traits. Since directional dominance is predicted for traits under directional evolutionary selection, this study provides evidence that increased stature and cognitive function have been positively selected in human evolution, whereas many important risk factors for late-onset complex diseases may not have been.

Published
2015
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