Author: "Lind, PA" - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Lind, PA"' showing total 173 results

Start Over Author "Lind, PA"

173 results on '"Lind, PA"'

1. Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects

Author: Howe, LJ, Nivard, MG, Morris, TT, Hansen, AF, Rasheed, H, Cho, Y, Chittoor, G, Ahlskog, R, Lind, PA, Palviainen, T, van der Zee, MD, Cheesman, R, Mangino, M, Wang, Y, Li, S, Klaric, L, Ratliff, SM, Bielak, LF, Nygaard, M, Giannelis, A, Willoughby, EA, Reynolds, CA, Balbona, JV, Andreassen, OA, Ask, H, Baras, A, Bauer, CR, Boomsma, DI, Campbell, A, Campbell, H, Chen, Z, Christofidou, P, Corfield, E, Dahm, CC, Dokuru, DR, Evans, LM, de Geus, EJC, Giddaluru, S, Gordon, SD, Harden, KP, Hill, WD, Hughes, A, Kerr, SM, Kim, Y, Kweon, H, Latvala, A, Lawlor, DA, Li, L, Lin, K, Magnus, P, Magnusson, PKE, Mallard, TT, Martikainen, P, Mills, MC, Njolstad, PR, Overton, JD, Pedersen, NL, Porteous, DJ, Reid, J, Silventoinen, K, Southey, MC, Stoltenberg, C, Tucker-Drob, EM, Wright, MJ, Hewitt, JK, Keller, MC, Stallings, MC, Lee, JJ, Christensen, K, Kardia, SLR, Peyser, PA, Smith, JA, Wilson, JF, Hopper, JL, Hagg, S, Spector, TD, Pingault, J-B, Plomin, R, Havdahl, A, Bartels, M, Martin, NG, Oskarsson, S, Justice, AE, Millwood, IY, Hveem, K, Naess, O, Willer, CJ, Asvold, BO, Koellinger, PD, Kaprio, J, Medland, SE, Walters, RG, Benjamin, DJ, Turley, P, Evans, DM, Smith, GD, Hayward, C, Brumpton, B, Hemani, G, Davies, NM, Howe, LJ, Nivard, MG, Morris, TT, Hansen, AF, Rasheed, H, Cho, Y, Chittoor, G, Ahlskog, R, Lind, PA, Palviainen, T, van der Zee, MD, Cheesman, R, Mangino, M, Wang, Y, Li, S, Klaric, L, Ratliff, SM, Bielak, LF, Nygaard, M, Giannelis, A, Willoughby, EA, Reynolds, CA, Balbona, JV, Andreassen, OA, Ask, H, Baras, A, Bauer, CR, Boomsma, DI, Campbell, A, Campbell, H, Chen, Z, Christofidou, P, Corfield, E, Dahm, CC, Dokuru, DR, Evans, LM, de Geus, EJC, Giddaluru, S, Gordon, SD, Harden, KP, Hill, WD, Hughes, A, Kerr, SM, Kim, Y, Kweon, H, Latvala, A, Lawlor, DA, Li, L, Lin, K, Magnus, P, Magnusson, PKE, Mallard, TT, Martikainen, P, Mills, MC, Njolstad, PR, Overton, JD, Pedersen, NL, Porteous, DJ, Reid, J, Silventoinen, K, Southey, MC, Stoltenberg, C, Tucker-Drob, EM, Wright, MJ, Hewitt, JK, Keller, MC, Stallings, MC, Lee, JJ, Christensen, K, Kardia, SLR, Peyser, PA, Smith, JA, Wilson, JF, Hopper, JL, Hagg, S, Spector, TD, Pingault, J-B, Plomin, R, Havdahl, A, Bartels, M, Martin, NG, Oskarsson, S, Justice, AE, Millwood, IY, Hveem, K, Naess, O, Willer, CJ, Asvold, BO, Koellinger, PD, Kaprio, J, Medland, SE, Walters, RG, Benjamin, DJ, Turley, P, Evans, DM, Smith, GD, Hayward, C, Brumpton, B, Hemani, G, and Davies, NM
Abstract: Estimates from genome-wide association studies (GWAS) of unrelated individuals capture effects of inherited variation (direct effects), demography (population stratification, assortative mating) and relatives (indirect genetic effects). Family-based GWAS designs can control for demographic and indirect genetic effects, but large-scale family datasets have been lacking. We combined data from 178,086 siblings from 19 cohorts to generate population (between-family) and within-sibship (within-family) GWAS estimates for 25 phenotypes. Within-sibship GWAS estimates were smaller than population estimates for height, educational attainment, age at first birth, number of children, cognitive ability, depressive symptoms and smoking. Some differences were observed in downstream SNP heritability, genetic correlations and Mendelian randomization analyses. For example, the within-sibship genetic correlation between educational attainment and body mass index attenuated towards zero. In contrast, analyses of most molecular phenotypes (for example, low-density lipoprotein-cholesterol) were generally consistent. We also found within-sibship evidence of polygenic adaptation on taller height. Here, we illustrate the importance of family-based GWAS data for phenotypes influenced by demographic and indirect genetic effects.
Published: 2022

2. Australian Parkinson's Genetics Study (APGS): Pilot (n=1532)

Author: Bivol, S, Mellick, GD, Gratten, J, Parker, R, Mulcahy, A, Mosley, PE, Poortvliet, PC, Campos, AI, Mitchell, BL, Garcia-Marin, LM, Cross, S, Ferguson, M, Lind, PA, Loesch-Mdzewska, Danuta, Visscher, PM, Medland, SE, Scherzer, CR, Martin, NG, and Rentería, ME
Subjects: 110999 Neurosciences not elsewhere classified, FOS: Clinical medicine, 111799 Public Health and Health Services not elsewhere classified, 110399 Clinical Sciences not elsewhere classified, FOS: Health sciences, Uncategorized
Abstract: Purpose Parkinson's disease (PD) is a neurodegenerative disorder associated with progressive disability. While the precise aetiology is unknown, there is evidence of significant genetic and environmental influences on individual risk. The Australian Parkinson's Genetics Study seeks to study genetic and patient-reported data from a large cohort of individuals with PD in Australia to understand the sociodemographic, genetic and environmental basis of PD susceptibility, symptoms and progression. Participants In the pilot phase reported here, 1819 participants were recruited through assisted mailouts facilitated by Services Australia based on having three or more prescriptions for anti-PD medications in their Pharmaceutical Benefits Scheme records. The average age at the time of the questionnaire was 64±6 years. We collected patient-reported information and sociodemographic variables via an online (93% of the cohort) or paper-based (7%) questionnaire. One thousand five hundred and thirty-two participants (84.2%) met all inclusion criteria, and 1499 provided a DNA sample via traditional post. Findings to date 65% of participants were men, and 92% identified as being of European descent. A previous traumatic brain injury was reported by 16% of participants and was correlated with a younger age of symptom onset. At the time of the questionnaire, constipation (36% of participants), depression (34%), anxiety (17%), melanoma (16%) and diabetes (10%) were the most reported comorbid conditions. Future plans We plan to recruit sex-matched and age-matched unaffected controls, genotype all participants and collect non-motor symptoms and cognitive function data. Future work will explore the role of genetic and environmental factors in the aetiology of PD susceptibility, onset, symptoms, and progression, including as part of international PD research consortia.
Published: 2022
Full Text: View/download PDF

3. Shared genetic risk between eating disorder- and substance-use-related phenotypes: Evidence from genome-wide association studies

Author: Munn-Chernoff, MA, Johnson, EC, Chou, YL, Coleman, JRI, Thornton, LM, Walters, RK, Yilmaz, Z, Baker, JH, Hübel, C, Gordon, S, Medland, SE, Watson, HJ, Gaspar, HA, Bryois, J, Hinney, A, Leppä, VM, Mattheisen, M, Ripke, S, Yao, S, Giusti-Rodríguez, P, Hanscombe, KB, Adan, RAH, Alfredsson, L, Ando, T, Andreassen, OA, Berrettini, WH, Boehm, I, Boni, C, Boraska Perica, V, Buehren, K, Burghardt, R, Cassina, M, Cichon, S, Clementi, M, Cone, RD, Courtet, P, Crow, S, Crowley, JJ, Danner, UN, Davis, OS, Zwaan, M, Dedoussis, G, Degortes, D, DeSocio, JE, Dick, DM, Dikeos, D, Dina, C, Dmitrzak-Weglarz, M, Docampo, E, Duncan, LE, Egberts, K, Ehrlich, S, Escaramís, G, Esko, T, Estivill, X, Farmer, A, Favaro, A, Fernández-Aranda, F, Fichter, MM, Fischer, K, Föcker, M, Foretova, L, Forstner, AJ, Forzan, M, Franklin, CS, Gallinger, S, Giegling, I, Giuranna, J, Gonidakis, F, Gorwood, P, Gratacos Mayora, M, Guillaume, S, Guo, Y, Hakonarson, H, Hatzikotoulas, K, Hauser, J, Hebebrand, J, Helder, SG, Herms, S, Herpertz-Dahlmann, B, Herzog, W, Huckins, LM, Hudson, JI, Imgart, H, Inoko, H, Janout, V, Jiménez-Murcia, S, Julià, A, Kalsi, G, Kaminská, D, Karhunen, L, Karwautz, A, Kas, MJH, Kennedy, JL, Keski-Rahkonen, A, Kiezebrink, K, Kim, YR, Klump, KL, Knudsen, GP, La Via, MC, Le Hellard, S, Levitan, RD, Li, D, Lilenfeld, L, Lin, BD, Lissowska, J, Luykx, J, Magistretti, PJ, Maj, M, Mannik, K, Marsal, S, Marshall, CR, Mattingsdal, M, McDevitt, S, McGuffin, P, Metspalu, A, Meulenbelt, I, Micali, N, Mitchell, K, Monteleone, A M, Monteleone, P, Nacmias, B, Navratilova, M, Ntalla, I, O'Toole, JK, Ophoff, Roel, Padyukov, L, Palotie, A, Pantel, J, Papezova, H, Pinto, D, Rabionet, R, Raevuori, A, Ramoz, N, Reichborn-Kjennerud, T, Ricca, V, Ripatti, S, Ritschel, F, Roberts, M, Rotondo, A, Rujescu, D, Rybakowski, F, Santonastaso, P, Scherag, A, Scherer, SW, Schmidt, U, Schork, NJ, Schosser, A, Seitz, J, Slachtova, L, Slagboom, PE, Slof-Op't Landt, MCT, Slopien, A, Sorbi, S, ?wi?tkowska, B, Szatkiewicz, JP, Tachmazidou, I, Tenconi, E, Tortorella, A, Tozzi, F, Treasure, J, Tsitsika, A, Tyszkiewicz-Nwafor, M, Tziouvas, K, van Elburg, AA, van Furth, EF, Wagner, G, Walton, E, Widen, E, Zeggini, E, Zerwas, S, Zipfel, S, Bergen, AW, Boden, JM, Brandt, H, Crawford, S, Halmi, KA, Horwood, LJ, Johnson, C, Kaplan, AS, Kaye, WH, Mitchell, J E, Olsen, CM, Pearson, JF, Pedersen, NL, Strober, M, Werge, T, Whiteman, DC, Woodside, DB, Grove, J, Henders, AK, Larsen, J T, Parker, R, Petersen, LV, Jordan, J, Kennedy, MA, Birgegård, A, Lichtenstein, P, Norring, C, Landén, M, Mortensen, PB, Polimanti, R, McClintick, JN, Adkins, AE, Aliev, F, Bacanu, SA, Batzler, A, Bertelsen, S, Biernacka, JM, Bigdeli, TB, Chen, L S, Clarke, TK, Degenhardt, F, Docherty, AR, Edwards, AC, Foo, JC, Fox, L, Frank, J, Hack, LM, Hartmann, AM, Hartz, SM, Heilmann-Heimbach, S, Hodgkinson, C, Hoffmann, P, Hottenga, JJ, Konte, B, Lahti, J, Lahti-Pulkkinen, M, Lai, D, Ligthart, L, Loukola, A, Maher, BS, Mbarek, H, McIntosh, AM, McQueen, MB, Meyers, JL, Milaneschi, Y, Palviainen, T, Peterson, RE, Ryu, E, Saccone, N L, Salvatore, JE, Sanchez-Roige, S, Schwandt, M, Sherva, R, Streit, F, Strohmaier, J, Thomas, N, Wang, JCY, Webb, BT, Wedow, R, Wetherill, L, Wills, AG, Zhou, H, Boardman, JD, Chen, D, Choi, D S, Copeland, WE, Culverhouse, RC, Dahmen, N, Degenhardt, L, Domingue, BW, Frye, MA, Gäebel, W, Hayward, C, Ising, M, Keyes, M, Kiefer, F, Koller, G, Kramer, J (John), Kuperman, S, Lucae, S, Lynskey, MT, Maier, W, Mann, K, Männistö, S, Müller-Myhsok, B, Murray, AD, Nurnberger, JI, Preuss, U, Räikkönen, K, Reynolds, MD, Ridinger, M, Scherbaum, N, Schuckit, MA, Soyka, M, Treutlein, J, Witt, SH, Wodarz, N, Zill, P, Adkins, DE, Boomsma, DI, Bierut, LJ, Brown, S, Bucholz, KK, Costello, EJ, Wit, HJ, Diazgranados, N, Eriksson, JG, Farrer, LA, Foroud, TM, Gillespie, NA, Goate, AM, Goldman, D, Grucza, RA, Hancock, DB, Harris, KM, Hesselbrock, V, Hewitt, JK, Hopfer, CJ, Iacono, WG, Johnson, E O, Karpyak, VM, Kendler, KS, Kranzler, HR, Krauter, K, Lind, PA, McGue, M, MacKillop, J, Madden, PA, Maes, HH, Magnusson, PKE, Nelson, EC, Nöthen, MM, Palmer, AA, Penninx, BWJH, Porjesz, B, Rice, JP, Rietschel, M, Riley, BP, Rose, RJ, Shen, PH, Silberg, J, Stallings, MC, Tarter, RE, Vanyukov, MM, Vrieze, S, Wall, TL, Whitfield, JB, Zhao, H, Neale, BM, Wade, TD, Heath, AC, Montgomery, GW, Martin, NG, Sullivan, PF, Kaprio, J, Breen, G, Gelernter, J, Edenberg, HJ, Bulik, CM, Agrawal, A, Munn-Chernoff, MA, Johnson, EC, Chou, YL, Coleman, JRI, Thornton, LM, Walters, RK, Yilmaz, Z, Baker, JH, Hübel, C, Gordon, S, Medland, SE, Watson, HJ, Gaspar, HA, Bryois, J, Hinney, A, Leppä, VM, Mattheisen, M, Ripke, S, Yao, S, Giusti-Rodríguez, P, Hanscombe, KB, Adan, RAH, Alfredsson, L, Ando, T, Andreassen, OA, Berrettini, WH, Boehm, I, Boni, C, Boraska Perica, V, Buehren, K, Burghardt, R, Cassina, M, Cichon, S, Clementi, M, Cone, RD, Courtet, P, Crow, S, Crowley, JJ, Danner, UN, Davis, OS, Zwaan, M, Dedoussis, G, Degortes, D, DeSocio, JE, Dick, DM, Dikeos, D, Dina, C, Dmitrzak-Weglarz, M, Docampo, E, Duncan, LE, Egberts, K, Ehrlich, S, Escaramís, G, Esko, T, Estivill, X, Farmer, A, Favaro, A, Fernández-Aranda, F, Fichter, MM, Fischer, K, Föcker, M, Foretova, L, Forstner, AJ, Forzan, M, Franklin, CS, Gallinger, S, Giegling, I, Giuranna, J, Gonidakis, F, Gorwood, P, Gratacos Mayora, M, Guillaume, S, Guo, Y, Hakonarson, H, Hatzikotoulas, K, Hauser, J, Hebebrand, J, Helder, SG, Herms, S, Herpertz-Dahlmann, B, Herzog, W, Huckins, LM, Hudson, JI, Imgart, H, Inoko, H, Janout, V, Jiménez-Murcia, S, Julià, A, Kalsi, G, Kaminská, D, Karhunen, L, Karwautz, A, Kas, MJH, Kennedy, JL, Keski-Rahkonen, A, Kiezebrink, K, Kim, YR, Klump, KL, Knudsen, GP, La Via, MC, Le Hellard, S, Levitan, RD, Li, D, Lilenfeld, L, Lin, BD, Lissowska, J, Luykx, J, Magistretti, PJ, Maj, M, Mannik, K, Marsal, S, Marshall, CR, Mattingsdal, M, McDevitt, S, McGuffin, P, Metspalu, A, Meulenbelt, I, Micali, N, Mitchell, K, Monteleone, A M, Monteleone, P, Nacmias, B, Navratilova, M, Ntalla, I, O'Toole, JK, Ophoff, Roel, Padyukov, L, Palotie, A, Pantel, J, Papezova, H, Pinto, D, Rabionet, R, Raevuori, A, Ramoz, N, Reichborn-Kjennerud, T, Ricca, V, Ripatti, S, Ritschel, F, Roberts, M, Rotondo, A, Rujescu, D, Rybakowski, F, Santonastaso, P, Scherag, A, Scherer, SW, Schmidt, U, Schork, NJ, Schosser, A, Seitz, J, Slachtova, L, Slagboom, PE, Slof-Op't Landt, MCT, Slopien, A, Sorbi, S, ?wi?tkowska, B, Szatkiewicz, JP, Tachmazidou, I, Tenconi, E, Tortorella, A, Tozzi, F, Treasure, J, Tsitsika, A, Tyszkiewicz-Nwafor, M, Tziouvas, K, van Elburg, AA, van Furth, EF, Wagner, G, Walton, E, Widen, E, Zeggini, E, Zerwas, S, Zipfel, S, Bergen, AW, Boden, JM, Brandt, H, Crawford, S, Halmi, KA, Horwood, LJ, Johnson, C, Kaplan, AS, Kaye, WH, Mitchell, J E, Olsen, CM, Pearson, JF, Pedersen, NL, Strober, M, Werge, T, Whiteman, DC, Woodside, DB, Grove, J, Henders, AK, Larsen, J T, Parker, R, Petersen, LV, Jordan, J, Kennedy, MA, Birgegård, A, Lichtenstein, P, Norring, C, Landén, M, Mortensen, PB, Polimanti, R, McClintick, JN, Adkins, AE, Aliev, F, Bacanu, SA, Batzler, A, Bertelsen, S, Biernacka, JM, Bigdeli, TB, Chen, L S, Clarke, TK, Degenhardt, F, Docherty, AR, Edwards, AC, Foo, JC, Fox, L, Frank, J, Hack, LM, Hartmann, AM, Hartz, SM, Heilmann-Heimbach, S, Hodgkinson, C, Hoffmann, P, Hottenga, JJ, Konte, B, Lahti, J, Lahti-Pulkkinen, M, Lai, D, Ligthart, L, Loukola, A, Maher, BS, Mbarek, H, McIntosh, AM, McQueen, MB, Meyers, JL, Milaneschi, Y, Palviainen, T, Peterson, RE, Ryu, E, Saccone, N L, Salvatore, JE, Sanchez-Roige, S, Schwandt, M, Sherva, R, Streit, F, Strohmaier, J, Thomas, N, Wang, JCY, Webb, BT, Wedow, R, Wetherill, L, Wills, AG, Zhou, H, Boardman, JD, Chen, D, Choi, D S, Copeland, WE, Culverhouse, RC, Dahmen, N, Degenhardt, L, Domingue, BW, Frye, MA, Gäebel, W, Hayward, C, Ising, M, Keyes, M, Kiefer, F, Koller, G, Kramer, J (John), Kuperman, S, Lucae, S, Lynskey, MT, Maier, W, Mann, K, Männistö, S, Müller-Myhsok, B, Murray, AD, Nurnberger, JI, Preuss, U, Räikkönen, K, Reynolds, MD, Ridinger, M, Scherbaum, N, Schuckit, MA, Soyka, M, Treutlein, J, Witt, SH, Wodarz, N, Zill, P, Adkins, DE, Boomsma, DI, Bierut, LJ, Brown, S, Bucholz, KK, Costello, EJ, Wit, HJ, Diazgranados, N, Eriksson, JG, Farrer, LA, Foroud, TM, Gillespie, NA, Goate, AM, Goldman, D, Grucza, RA, Hancock, DB, Harris, KM, Hesselbrock, V, Hewitt, JK, Hopfer, CJ, Iacono, WG, Johnson, E O, Karpyak, VM, Kendler, KS, Kranzler, HR, Krauter, K, Lind, PA, McGue, M, MacKillop, J, Madden, PA, Maes, HH, Magnusson, PKE, Nelson, EC, Nöthen, MM, Palmer, AA, Penninx, BWJH, Porjesz, B, Rice, JP, Rietschel, M, Riley, BP, Rose, RJ, Shen, PH, Silberg, J, Stallings, MC, Tarter, RE, Vanyukov, MM, Vrieze, S, Wall, TL, Whitfield, JB, Zhao, H, Neale, BM, Wade, TD, Heath, AC, Montgomery, GW, Martin, NG, Sullivan, PF, Kaprio, J, Breen, G, Gelernter, J, Edenberg, HJ, Bulik, CM, and Agrawal, A
Abstract: Eating disorders and substance use disorders frequently co-occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa and problem alcohol use (genetic correlation [rg], twin-based = 0.23-0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome-wide association studies (GWAS). Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge eating, AN without binge eating, and a bulimia nervosa factor score), and eight substance-use-related phenotypes (drinks per week, alcohol use disorder [AUD], smoking initiation, current smoking, cigarettes per day, nicotine dependence, cannabis initiation, and cannabis use disorder) from eight studies were included. Significant genetic correlations were adjusted for variants associated with major depressive disorder and schizophrenia. Total study sample sizes per phenotype ranged from ~2400 to ~537 000 individuals. We used linkage disequilibrium score regression to calculate single nucleotide polymorphism-based genetic correlations between eating disorder- and substance-use-related phenotypes. Significant positive genetic associations emerged between AUD and AN (rg = 0.18; false discovery rate q = 0.0006), cannabis initiation and AN (rg = 0.23; q < 0.0001), and cannabis initiation and AN with binge eating (rg = 0.27; q = 0.0016). Conversely, significant negative genetic correlations were observed between three nondiagnostic smoking phenotypes (smoking initiation, current smoking, and cigarettes per day) and AN without binge eating (rgs = −0.19 to −0.23; qs < 0.04). The genetic correlation between AUD and AN was no longer significant after co-varying for major depressive disorder loci. The patterns of association between eating disorder- and substance-use-related phenotyp
Published: 2021

4. Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults

Author: Hofer, E, Roshchupkin, GV, Adams, HHH, Knol, MJ, Lin, H, Li, S, Zare, H, Ahmad, S, Armstrong, NJ, Satizabal, CL, Bernard, M, Bis, JC, Gillespie, NA, Luciano, M, Mishra, A, Scholz, M, Teumer, A, Xia, R, Jian, X, Mosley, TH, Saba, Y, Pirpamer, L, Seiler, S, Becker, JT, Carmichael, O, Rotter, JI, Psaty, BM, Lopez, OL, Amin, N, van der Lee, SJ, Yang, Q, Himali, JJ, Maillard, P, Beiser, AS, Decarli, C, Karama, S, Lewis, L, Harris, M, Bastin, ME, Deary, IJ, Witte, AV, Beyer, F, Loeffler, M, Mather, KA, Schofield, PR, Thalamuthu, A, Kwok, JB, Wright, MJ, Ames, D, Trollor, J, Jiang, J, Brodaty, H, Wen, W, Vernooij, MW, Hofman, A, Uitterlinden, AG, Niessen, WJ, Wittfeld, K, Bülow, R, Völker, U, Pausova, Z, Pike, GB, Maingault, S, Crivello, F, Tzourio, C, Amouyel, P, Mazoyer, B, Neale, MC, Franz, CE, Lyons, MJ, Panizzon, MS, Andreassen, OA, Dale, AM, Logue, M, Grasby, KL, Jahanshad, N, Painter, JN, Colodro-Conde, L, Bralten, J, Hibar, DP, Lind, PA, Pizzagalli, F, Stein, JL, Thompson, PM, Medland, SE, Sachdev, PS, Kremen, WS, Wardlaw, JM, Villringer, A, van Duijn, CM, Grabe, HJ, Longstreth, WT, Fornage, M, Paus, T, Debette, S, Ikram, MA, Schmidt, H, Schmidt, R, Seshadri, S, Ching, CRK, Hofer, E, Roshchupkin, GV, Adams, HHH, Knol, MJ, Lin, H, Li, S, Zare, H, Ahmad, S, Armstrong, NJ, Satizabal, CL, Bernard, M, Bis, JC, Gillespie, NA, Luciano, M, Mishra, A, Scholz, M, Teumer, A, Xia, R, Jian, X, Mosley, TH, Saba, Y, Pirpamer, L, Seiler, S, Becker, JT, Carmichael, O, Rotter, JI, Psaty, BM, Lopez, OL, Amin, N, van der Lee, SJ, Yang, Q, Himali, JJ, Maillard, P, Beiser, AS, Decarli, C, Karama, S, Lewis, L, Harris, M, Bastin, ME, Deary, IJ, Witte, AV, Beyer, F, Loeffler, M, Mather, KA, Schofield, PR, Thalamuthu, A, Kwok, JB, Wright, MJ, Ames, D, Trollor, J, Jiang, J, Brodaty, H, Wen, W, Vernooij, MW, Hofman, A, Uitterlinden, AG, Niessen, WJ, Wittfeld, K, Bülow, R, Völker, U, Pausova, Z, Pike, GB, Maingault, S, Crivello, F, Tzourio, C, Amouyel, P, Mazoyer, B, Neale, MC, Franz, CE, Lyons, MJ, Panizzon, MS, Andreassen, OA, Dale, AM, Logue, M, Grasby, KL, Jahanshad, N, Painter, JN, Colodro-Conde, L, Bralten, J, Hibar, DP, Lind, PA, Pizzagalli, F, Stein, JL, Thompson, PM, Medland, SE, Sachdev, PS, Kremen, WS, Wardlaw, JM, Villringer, A, van Duijn, CM, Grabe, HJ, Longstreth, WT, Fornage, M, Paus, T, Debette, S, Ikram, MA, Schmidt, H, Schmidt, R, Seshadri, S, and Ching, CRK
Abstract: Cortical thickness, surface area and volumes vary with age and cognitive function, and in neurological and psychiatric diseases. Here we report heritability, genetic correlations and genome-wide associations of these cortical measures across the whole cortex, and in 34 anatomically predefined regions. Our discovery sample comprises 22,824 individuals from 20 cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank. We identify genetic heterogeneity between cortical measures and brain regions, and 160 genome-wide significant associations pointing to wnt/β-catenin, TGF-β and sonic hedgehog pathways. There is enrichment for genes involved in anthropometric traits, hindbrain development, vascular and neurodegenerative disease and psychiatric conditions. These data are a rich resource for studies of the biological mechanisms behind cortical development and aging.
Published: 2020

5. The genetic architecture of the human cerebral cortex

Author: Grasby, KL, Jahanshad, N, Painter, JN, Colodro-Conde, L, Bralten, J, Hibar, DP, Lind, PA, Pizzagalli, F, Ching, CRK, McMahon, MAB, Shatokhina, N, Zsembik, LCP, Thomopoulos, SI, Zhu, AH, Strike, LT, Agartz, I, Alhusaini, S, Almeida, MAA, Alnæs, D, Amlien, IK, Andersson, M, Ard, T, Armstrong, NJ, Ashley-Koch, A, Atkins, JR, Bernard, M, Brouwer, RM, Buimer, EEL, Bülow, R, Bürger, C, Cannon, DM, Chakravarty, M, Chen, Q, Cheung, JW, Couvy-Duchesne, B, Dale, AM, Dalvie, S, de Araujo, TK, de Zubicaray, GI, de Zwarte, SMC, den Braber, A, Doan, NT, Dohm, K, Ehrlich, S, Engelbrecht, HR, Erk, S, Fan, CC, Fedko, IO, Foley, SF, Ford, JM, Fukunaga, M, Garrett, ME, Ge, T, Giddaluru, S, Goldman, AL, Green, MJ, Groenewold, NA, Grotegerd, D, Gurholt, TP, Gutman, BA, Hansell, NK, Harris, MA, Harrison, MB, Haswell, CC, Hauser, M, Herms, S, Heslenfeld, DJ, Ho, NF, Hoehn, D, Hoffmann, P, Holleran, L, Hoogman, M, Hottenga, JJ, Ikeda, M, Janowitz, D, Jansen, IE, Jia, T, Jockwitz, C, Kanai, R, Karama, S, Kasperaviciute, D, Kaufmann, T, Kelly, S, Kikuchi, M, Klein, M, Knapp, M, Knodt, AR, Krämer, B, Lam, M, Lancaster, TM, Lee, PH, Lett, TA, Lewis, LB, Lopes-Cendes, I, Luciano, M, Macciardi, F, Marquand, AF, Mathias, SR, Melzer, TR, Milaneschi, Y, Grasby, KL, Jahanshad, N, Painter, JN, Colodro-Conde, L, Bralten, J, Hibar, DP, Lind, PA, Pizzagalli, F, Ching, CRK, McMahon, MAB, Shatokhina, N, Zsembik, LCP, Thomopoulos, SI, Zhu, AH, Strike, LT, Agartz, I, Alhusaini, S, Almeida, MAA, Alnæs, D, Amlien, IK, Andersson, M, Ard, T, Armstrong, NJ, Ashley-Koch, A, Atkins, JR, Bernard, M, Brouwer, RM, Buimer, EEL, Bülow, R, Bürger, C, Cannon, DM, Chakravarty, M, Chen, Q, Cheung, JW, Couvy-Duchesne, B, Dale, AM, Dalvie, S, de Araujo, TK, de Zubicaray, GI, de Zwarte, SMC, den Braber, A, Doan, NT, Dohm, K, Ehrlich, S, Engelbrecht, HR, Erk, S, Fan, CC, Fedko, IO, Foley, SF, Ford, JM, Fukunaga, M, Garrett, ME, Ge, T, Giddaluru, S, Goldman, AL, Green, MJ, Groenewold, NA, Grotegerd, D, Gurholt, TP, Gutman, BA, Hansell, NK, Harris, MA, Harrison, MB, Haswell, CC, Hauser, M, Herms, S, Heslenfeld, DJ, Ho, NF, Hoehn, D, Hoffmann, P, Holleran, L, Hoogman, M, Hottenga, JJ, Ikeda, M, Janowitz, D, Jansen, IE, Jia, T, Jockwitz, C, Kanai, R, Karama, S, Kasperaviciute, D, Kaufmann, T, Kelly, S, Kikuchi, M, Klein, M, Knapp, M, Knodt, AR, Krämer, B, Lam, M, Lancaster, TM, Lee, PH, Lett, TA, Lewis, LB, Lopes-Cendes, I, Luciano, M, Macciardi, F, Marquand, AF, Mathias, SR, Melzer, TR, and Milaneschi, Y
Abstract: The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder.
Published: 2020

6. Classical Human Leukocyte Antigen Alleles and C4 Haplotypes Are Not Significantly Associated With Depression

Author: Glanville, KP, Coleman, JR, Hanscombe, KB, Euesden, J, Choi, SW, Purves, KL, Breen, G, Air, TM, Andlauer, TFM, Baune, BT, Binder, EB, Blackwood, DHR, Boomsma, D, Buttenschon, HN, Colodro-Conde, L, Dannlowski, U, Direk, N, Dunn, EC, Forstner, AJ, de Geus, EJC, Grabe, HJ, Hamilton, SP, Jones, I, Jones, LA, Knowles, JA, Kutalik, Z, Levinson, DF, Lewis, G, Lind, PA, Lucae, S, Magnusson, PK, McGuffin, P, McIntosh, AM, Milaneschi, Y, Mors, O, Mostafavi, S, Mueller-Myhsok, B, Pedersen, NL, Penninx, BWJH, Potash, JB, Preisig, M, Ripke, S, Shi, J, Shyn, S, Smoller, JW, Streit, F, Sullivan, PF, Tiemeier, H, Uher, R, Van der Auwera, S, Weissman, MM, O'Reilly, PF, Lewis, CM, Wray, NR, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Adams, MJ, Agerbo, E, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Bryois, J, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T-K, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Dolan, C, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Foo, JC, Frank, J, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hall, LS, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Howard, DM, Ising, M, Jansen, R, Jorgenson, E, Kohane, IS, Kraft, J, Kretzschmar, WW, Li, Y, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milani, L, Mondimore, FM, Montgomery, GW, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Peyrot, WJ, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Smith, DJ, Stefansson, H, Steinberg, S, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thomson, PA, Thorgeirsson, TE, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Witt, SH, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Berger, K, Cichon, S, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Hayward, C, Heath, AC, Kendler, KS, Kloiber, S, Li, QS, Madden, PAF, Martin, NG, Metspalu, A, Mortensen, PB, Nordentoft, M, Noethen, MM, O'Donovan, MC, Paciga, SA, Perlis, RH, Porteous, DJ, Rietschel, M, Schaefer, C, Schulze, TG, Stefansson, K, Voelzke, H, Werge, T, Borglum, AD, Glanville, KP, Coleman, JR, Hanscombe, KB, Euesden, J, Choi, SW, Purves, KL, Breen, G, Air, TM, Andlauer, TFM, Baune, BT, Binder, EB, Blackwood, DHR, Boomsma, D, Buttenschon, HN, Colodro-Conde, L, Dannlowski, U, Direk, N, Dunn, EC, Forstner, AJ, de Geus, EJC, Grabe, HJ, Hamilton, SP, Jones, I, Jones, LA, Knowles, JA, Kutalik, Z, Levinson, DF, Lewis, G, Lind, PA, Lucae, S, Magnusson, PK, McGuffin, P, McIntosh, AM, Milaneschi, Y, Mors, O, Mostafavi, S, Mueller-Myhsok, B, Pedersen, NL, Penninx, BWJH, Potash, JB, Preisig, M, Ripke, S, Shi, J, Shyn, S, Smoller, JW, Streit, F, Sullivan, PF, Tiemeier, H, Uher, R, Van der Auwera, S, Weissman, MM, O'Reilly, PF, Lewis, CM, Wray, NR, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Adams, MJ, Agerbo, E, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Bryois, J, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T-K, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Dolan, C, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Foo, JC, Frank, J, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hall, LS, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Howard, DM, Ising, M, Jansen, R, Jorgenson, E, Kohane, IS, Kraft, J, Kretzschmar, WW, Li, Y, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milani, L, Mondimore, FM, Montgomery, GW, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Peyrot, WJ, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Smith, DJ, Stefansson, H, Steinberg, S, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thomson, PA, Thorgeirsson, TE, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Witt, SH, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Berger, K, Cichon, S, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Hayward, C, Heath, AC, Kendler, KS, Kloiber, S, Li, QS, Madden, PAF, Martin, NG, Metspalu, A, Mortensen, PB, Nordentoft, M, Noethen, MM, O'Donovan, MC, Paciga, SA, Perlis, RH, Porteous, DJ, Rietschel, M, Schaefer, C, Schulze, TG, Stefansson, K, Voelzke, H, Werge, T, and Borglum, AD
Abstract: BACKGROUND: The prevalence of depression is higher in individuals with autoimmune diseases, but the mechanisms underlying the observed comorbidities are unknown. Shared genetic etiology is a plausible explanation for the overlap, and in this study we tested whether genetic variation in the major histocompatibility complex (MHC), which is associated with risk for autoimmune diseases, is also associated with risk for depression. METHODS: We fine-mapped the classical MHC (chr6: 29.6-33.1 Mb), imputing 216 human leukocyte antigen (HLA) alleles and 4 complement component 4 (C4) haplotypes in studies from the Psychiatric Genomics Consortium Major Depressive Disorder Working Group and the UK Biobank. The total sample size was 45,149 depression cases and 86,698 controls. We tested for association between depression status and imputed MHC variants, applying both a region-wide significance threshold (3.9 × 10-6) and a candidate threshold (1.6 × 10-4). RESULTS: No HLA alleles or C4 haplotypes were associated with depression at the region-wide threshold. HLA-B*08:01 was associated with modest protection for depression at the candidate threshold for testing in HLA genes in the meta-analysis (odds ratio = 0.98, 95% confidence interval = 0.97-0.99). CONCLUSIONS: We found no evidence that an increased risk for depression was conferred by HLA alleles, which play a major role in the genetic susceptibility to autoimmune diseases, or C4 haplotypes, which are strongly associated with schizophrenia. These results suggest that any HLA or C4 variants associated with depression either are rare or have very modest effect sizes.
Published: 2020

7. Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK Biobank

Author: Coleman, JRI, Peyrot, WJ, Purves, KL, Davis, KAS, Rayner, C, Choi, SW, Hubel, C, Gaspar, HA, Kan, C, Van der Auwera, S, Adams, MJ, Lyall, DM, Choi, KW, Dunn, EC, Vassos, E, Danese, A, Maughan, B, Grabe, HJ, Lewis, CM, O'Reilly, PF, McIntosh, AM, Smith, DJ, Wray, NR, Hotopf, M, Eley, TC, Breen, G, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Binder, EB, Bryois, J, Buttenschon, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T-K, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, CV, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Foo, JC, Forstner, AJ, Frank, J, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hall, LS, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Howard, DM, Ising, M, Jansen, R, Jones, I, Jones, LA, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Kutalik, Z, Li, Y, Lind, PA, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, McGuffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Shi, J, Shyn, SI, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Stefansson, H, Steinberg, S, Streit, F, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thomson, PA, Thorgeirsson, TE, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Witt, SH, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Baune, BT, Berger, K, Boomsma, DI, Cichon, S, Dannlowski, U, de Geus, EJC, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Hamilton, SP, Hayward, C, Heath, AC, Kendler, KS, Kloiber, S, Lewis, G, Li, QS, Lucae, S, Madden, PAF, Magnusson, PK, Martin, NG, Metspalu, A, Mors, O, Mortensen, PB, Mueller-Myhsok, B, Nordentoft, M, Noethen, MM, O'Donovan, MC, Paciga, SA, Pedersen, NL, Penninx, BWJH, Perlis, RH, Porteous, DJ, Potash, JB, Preisig, M, Rietschel, M, Schaefer, C, Schulze, TG, Smoller, JW, Stefansson, K, Tiemeier, H, Uher, R, Volzke, H, Weissman, MM, Werge, T, Levinson, DF, Borglum, AD, Sullivan, PF, Coleman, JRI, Peyrot, WJ, Purves, KL, Davis, KAS, Rayner, C, Choi, SW, Hubel, C, Gaspar, HA, Kan, C, Van der Auwera, S, Adams, MJ, Lyall, DM, Choi, KW, Dunn, EC, Vassos, E, Danese, A, Maughan, B, Grabe, HJ, Lewis, CM, O'Reilly, PF, McIntosh, AM, Smith, DJ, Wray, NR, Hotopf, M, Eley, TC, Breen, G, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Binder, EB, Bryois, J, Buttenschon, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T-K, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, CV, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Foo, JC, Forstner, AJ, Frank, J, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hall, LS, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Howard, DM, Ising, M, Jansen, R, Jones, I, Jones, LA, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Kutalik, Z, Li, Y, Lind, PA, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, McGuffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Shi, J, Shyn, SI, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Stefansson, H, Steinberg, S, Streit, F, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thomson, PA, Thorgeirsson, TE, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Witt, SH, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Baune, BT, Berger, K, Boomsma, DI, Cichon, S, Dannlowski, U, de Geus, EJC, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Hamilton, SP, Hayward, C, Heath, AC, Kendler, KS, Kloiber, S, Lewis, G, Li, QS, Lucae, S, Madden, PAF, Magnusson, PK, Martin, NG, Metspalu, A, Mors, O, Mortensen, PB, Mueller-Myhsok, B, Nordentoft, M, Noethen, MM, O'Donovan, MC, Paciga, SA, Pedersen, NL, Penninx, BWJH, Perlis, RH, Porteous, DJ, Potash, JB, Preisig, M, Rietschel, M, Schaefer, C, Schulze, TG, Smoller, JW, Stefansson, K, Tiemeier, H, Uher, R, Volzke, H, Weissman, MM, Werge, T, Levinson, DF, Borglum, AD, and Sullivan, PF
Abstract: Depression is more frequent among individuals exposed to traumatic events. Both trauma exposure and depression are heritable. However, the relationship between these traits, including the role of genetic risk factors, is complex and poorly understood. When modelling trauma exposure as an environmental influence on depression, both gene-environment correlations and gene-environment interactions have been observed. The UK Biobank concurrently assessed Major Depressive Disorder (MDD) and self-reported lifetime exposure to traumatic events in 126,522 genotyped individuals of European ancestry. We contrasted genetic influences on MDD stratified by reported trauma exposure (final sample size range: 24,094-92,957). The SNP-based heritability of MDD with reported trauma exposure (24%) was greater than MDD without reported trauma exposure (12%). Simulations showed that this is not confounded by the strong, positive genetic correlation observed between MDD and reported trauma exposure. We also observed that the genetic correlation between MDD and waist circumference was only significant in individuals reporting trauma exposure (rg = 0.24, p = 1.8 × 10-7 versus rg = -0.05, p = 0.39 in individuals not reporting trauma exposure, difference p = 2.3 × 10-4). Our results suggest that the genetic contribution to MDD is greater when reported trauma is present, and that a complex relationship exists between reported trauma exposure, body composition, and MDD.
Published: 2020

8. Replication of the association of common rs9939609 variant of FTO with increased BMI in an Australian adult twin population but no evidence for gene by environment (G × E) interaction

Author: Cornes, BK, Lind, PA, Medland, SE, Montgomery, GW, Nyholt, DR, and Martin, NG
Published: 2009

9. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use

Author: Liu, M, Jiang, Y, Wedow, R, Li, Y, Brazel, DM, Chen, F, Datta, G, Davila-Velderrain, J, McGuire, D, Tian, C, Zhan, X, Team, 23Andme Research, Psychiatry, Hunt All-In, Choquet, H, Docherty, AR, Faul, JD, Foerster, JR, Fritsche, LG, Gabrielsen, ME, Gordon, SD, Haessler, J, Hottenga, J-J, Huang, H, Jang, S-K, Jansen, PR, Ling, Y, Mägi, R, Matoba, N, McMahon, G, Mulas, A, Orrù, V, Palviainen, T, Pandit, A, Reginsson, GW, Skogholt, AH, Smith, JA, Taylor, AE, Turman, C, Willemsen, G, Young, H, Young, KA, Zajac, GJM, Zhao, W, Zhou, W, Bjornsdottir, G, Boardman, JD, Boehnke, M, Boomsma, DI, Chen, C, Cucca, F, Davies, GE, Eaton, CB, Ehringer, MA, Esko, T, Fiorillo, E, Gillespie, NA, Gudbjartsson, DF, Haller, T, Harris, KM, Heath, AC, Hewitt, JK, Hickie, IB, Hokanson, JE, Hopfer, CJ, Hunter, DJ, Iacono, WG, Johnson, EO, Kamatani, Y, Kardia, SLR, Keller, MC, Kellis, M, Kooperberg, C, Kraft, P, Krauter, KS, Laakso, M, Lind, PA, Loukola, A, Lutz, SM, Madden, PAF, Martin, NG, McGue, M, McQueen, MB, Medland, SE, Metspalu, A, Mohlke, KL, Nielsen, JB, Okada, Y, Peters, U, Polderman, TJC, Posthuma, D, Reiner, AP, Rice, JP, Rimm, E, Rose, RJ, Runarsdottir, V, Stallings, MC, Stančáková, A, Stefansson, H, Thai, KK, Tindle, HA, Tyrfingsson, T, Wall, TL, Weir, DR, Weisner, C, Whitfield, JB, Winsvold, BS, Yin, J, Zuccolo, L, Bierut, LJ, Hveem, K, Lee, JJ, Munafò, MR, Saccone, NL, Willer, CJ, Cornelis, MC, David, SP, Hinds, DA, Jorgenson, E, Kaprio, J, Stitzel, JA, Stefansson, K, Thorgeirsson, TE, Abecasis, G, Liu, DJ, Vrieze, S, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, APH - Methodology, Human genetics, Amsterdam Reproduction & Development (AR&D), APH - Aging & Later Life, and Human Genetics
Subjects: Male, Netherlands Twin Register (NTR), Smoking/genetics, ved/biology.organism_classification_rank.species, Alcohol, Genome-wide association study, Brain and Behaviour, chemistry.chemical_compound, 0302 clinical medicine, Tobacco Use Disorder/genetics, Tobacco/adverse effects, Genetics, 0303 health sciences, Smoking, Tobacco and Alcohol, public health, Tobacco Use Disorder, Middle Aged, 3. Good health, Phenotype, psychiatric disorders, Genetic Variation/genetics, Meta-analysis, Genome-Wide Association Study/methods, Female, Physical and Mental Health, Risk, Alcohol Drinking, psychology, Biology, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Tobacco, Humans, Model organism, Gene, 030304 developmental biology, Genetic association, ved/biology, Genetic Variation, Alcohol Drinking/genetics, Heritability, chemistry, genome-wide association studies, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Tobacco and alcohol use are leading causes of mortality that influence risk for many complex diseases and disorders1. They are heritable2,3 and etiologically related4,5 behaviors that have been resistant to gene discovery efforts6,7,8,9,10,11. In sample sizes up to 1.2 million individuals, we discovered 566 genetic variants in 406 loci associated with multiple stages of tobacco use (initiation, cessation, and heaviness) as well as alcohol use, with 150 loci evidencing pleiotropic association. Smoking phenotypes were positively genetically correlated with many health conditions, whereas alcohol use was negatively correlated with these conditions, such that increased genetic risk for alcohol use is associated with lower disease risk. We report evidence for the involvement of many systems in tobacco and alcohol use, including genes involved in nicotinic, dopaminergic, and glutamatergic neurotransmission. The results provide a solid starting point to evaluate the effects of these loci in model organisms and more precise substance use measures. © 2019. This is the authors’ accepted and refereed manuscript to the article.
Published: 2019

10. Evidence for increased genetic risk load for major depression in patients assigned to electroconvulsive therapy

Author: Foo, JC, Streit, F, Frank, J, Witt, SH, Treutlein, J, Baune, BT, Moebus, S, Joeckel, K-H, Forstner, AJ, Noethen, MM, Rietschel, M, Sartorius, A, Kranaster, L, Wray, NR, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Adams, MJ, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Binder, EB, Blackwood, DHR, Bryois, J, Buttenschon, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T-K, Coleman, JRI, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, CV, Dunn, EC, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hall, LS, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Ising, M, Jansen, R, Jones, I, Jones, LA, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Krogh, J, Kutalik, Z, Li, Y, Lind, PA, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, McGuffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, O'Reilly, PF, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Peyrot, WJ, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Shi, J, Shyn, SI, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Smith, DJ, Stefansson, H, Steinberg, S, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thomson, PA, Thorgeirsson, TE, Traylor, M, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, Van der Auwera, S, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Berger, K, Boomsma, DI, Cichon, S, Dannlowski, U, de Geus, EJC, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Grabe, HJ, Hamilton, SP, Hayward, C, Heath, AC, Kendler, KS, Kloiber, S, Lewis, G, Li, QS, Lucae, S, Madden, PAF, Magnusson, PK, Martin, NG, McIntosh, AM, Metspalu, A, Mors, O, Mortensen, PB, Mueller-Myhsok, B, Nordentoft, M, O'Donovan, MC, Paciga, SA, Pedersen, NL, Penninx, BWJH, Perlis, RH, Porteous, DJ, Potash, JB, Preisig, M, Schaefer, C, Schulze, TG, Smoller, JW, Stefansson, K, Tiemeier, H, Uher, R, Voelzke, H, Weissman, MM, Werge, T, Lewis, CM, Levinson, DF, Breen, G, Borglum, AD, Sullivan, PF, Foo, JC, Streit, F, Frank, J, Witt, SH, Treutlein, J, Baune, BT, Moebus, S, Joeckel, K-H, Forstner, AJ, Noethen, MM, Rietschel, M, Sartorius, A, Kranaster, L, Wray, NR, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Adams, MJ, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Binder, EB, Blackwood, DHR, Bryois, J, Buttenschon, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T-K, Coleman, JRI, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, CV, Dunn, EC, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hall, LS, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Ising, M, Jansen, R, Jones, I, Jones, LA, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Krogh, J, Kutalik, Z, Li, Y, Lind, PA, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, McGuffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, O'Reilly, PF, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Peyrot, WJ, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Shi, J, Shyn, SI, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Smith, DJ, Stefansson, H, Steinberg, S, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thomson, PA, Thorgeirsson, TE, Traylor, M, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, Van der Auwera, S, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Berger, K, Boomsma, DI, Cichon, S, Dannlowski, U, de Geus, EJC, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Grabe, HJ, Hamilton, SP, Hayward, C, Heath, AC, Kendler, KS, Kloiber, S, Lewis, G, Li, QS, Lucae, S, Madden, PAF, Magnusson, PK, Martin, NG, McIntosh, AM, Metspalu, A, Mors, O, Mortensen, PB, Mueller-Myhsok, B, Nordentoft, M, O'Donovan, MC, Paciga, SA, Pedersen, NL, Penninx, BWJH, Perlis, RH, Porteous, DJ, Potash, JB, Preisig, M, Schaefer, C, Schulze, TG, Smoller, JW, Stefansson, K, Tiemeier, H, Uher, R, Voelzke, H, Weissman, MM, Werge, T, Lewis, CM, Levinson, DF, Breen, G, Borglum, AD, and Sullivan, PF
Abstract: Electroconvulsive therapy (ECT) is the treatment of choice for severe and treatment-resistant depression; disorder severity and unfavorable treatment outcomes are shown to be influenced by an increased genetic burden for major depression (MD). Here, we tested whether ECT assignment and response/nonresponse are associated with an increased genetic burden for major depression (MD) using polygenic risk score (PRS), which summarize the contribution of disease-related common risk variants. Fifty-one psychiatric inpatients suffering from a major depressive episode underwent ECT. MD-PRS were calculated for these inpatients and a separate population-based sample (n = 3,547 healthy; n = 426 self-reported depression) based on summary statistics from the Psychiatric Genomics Consortium MDD-working group (Cases: n = 59,851; Controls: n = 113,154). MD-PRS explained a significant proportion of disease status between ECT patients and healthy controls (p = .022, R2 = 1.173%); patients showed higher MD-PRS. MD-PRS in population-based depression self-reporters were intermediate between ECT patients and controls (n.s.). Significant associations between MD-PRS and ECT response (50% reduction in Hamilton depression rating scale scores) were not observed. Our findings indicate that ECT cohorts show an increased genetic burden for MD and are consistent with the hypothesis that treatment-resistant MD patients represent a subgroup with an increased genetic risk for MD. Larger samples are needed to better substantiate these findings.
Published: 2019

11. Genome-wide by environment interaction studies of depressive symptoms and psychosocial stress in UK Biobank and Generation Scotland

Author: Arnau-Soler, A, Macdonald-Dunlop, E, Adams, MJ, Clarke, T-K, MacIntyre, DJ, Milburn, K, Navrady, L, Hayward, C, McIntosh, AM, Thomson, PA, Wray, NR, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Binder, EB, Blackwood, DHR, Bryois, J, Buttenscon, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Coleman, JR, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Rawford, GEC, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, C, Dunn, EC, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Foo, JC, Forstner, AJ, Frank, J, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hall, LS, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Ising, M, Jansen, R, Jones, I, Jones, LA, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Krogh, J, Kutalik, Z, Li, Y, Lind, PA, Macintyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, McGuffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, O'Reilly, PF, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Peyrot, WJ, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Shi, J, Shyn, S, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Smith, DJ, Stefansson, H, Steinberg, S, Streit, F, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thorgeirsson, TE, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, Van der Auwera, S, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Witt, SH, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Baune, BT, Berger, K, Boomsma, D, Cichon, S, Dannlowski, U, de Geus, EJC, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Grabe, HJ, Hamilton, SP, Heath, AC, Kendler, KS, Kloiber, S, Lewis, G, Li, QS, Lucae, S, Madden, PAF, Magnusson, PK, Martin, NG, Metspalu, A, Mors, O, Mortensen, PB, Mueller-Myhsok, B, Nordentoft, M, Noethen, MM, O'Donovan, MC, Paciga, SA, Pedersen, NL, Penninx, BWJH, Perlis, RH, Porteous, DJ, Potash, JB, Preisig, M, Rietschel, M, Schaefer, C, Schulze, TG, Smoller, JW, Stefansson, K, Tiemeier, H, Uher, R, Voelzke, H, Weissman, MM, Werge, T, Lewis, CM, Levinson, DF, Breen, G, Borglum, ASD, Sullivan, PF, Arnau-Soler, A, Macdonald-Dunlop, E, Adams, MJ, Clarke, T-K, MacIntyre, DJ, Milburn, K, Navrady, L, Hayward, C, McIntosh, AM, Thomson, PA, Wray, NR, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Binder, EB, Blackwood, DHR, Bryois, J, Buttenscon, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Coleman, JR, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Rawford, GEC, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, C, Dunn, EC, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Foo, JC, Forstner, AJ, Frank, J, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hall, LS, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Ising, M, Jansen, R, Jones, I, Jones, LA, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Krogh, J, Kutalik, Z, Li, Y, Lind, PA, Macintyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, McGuffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, O'Reilly, PF, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Peyrot, WJ, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Shi, J, Shyn, S, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Smith, DJ, Stefansson, H, Steinberg, S, Streit, F, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thorgeirsson, TE, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, Van der Auwera, S, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Witt, SH, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Baune, BT, Berger, K, Boomsma, D, Cichon, S, Dannlowski, U, de Geus, EJC, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Grabe, HJ, Hamilton, SP, Heath, AC, Kendler, KS, Kloiber, S, Lewis, G, Li, QS, Lucae, S, Madden, PAF, Magnusson, PK, Martin, NG, Metspalu, A, Mors, O, Mortensen, PB, Mueller-Myhsok, B, Nordentoft, M, Noethen, MM, O'Donovan, MC, Paciga, SA, Pedersen, NL, Penninx, BWJH, Perlis, RH, Porteous, DJ, Potash, JB, Preisig, M, Rietschel, M, Schaefer, C, Schulze, TG, Smoller, JW, Stefansson, K, Tiemeier, H, Uher, R, Voelzke, H, Weissman, MM, Werge, T, Lewis, CM, Levinson, DF, Breen, G, Borglum, ASD, and Sullivan, PF
Abstract: Stress is associated with poorer physical and mental health. To improve our understanding of this link, we performed genome-wide association studies (GWAS) of depressive symptoms and genome-wide by environment interaction studies (GWEIS) of depressive symptoms and stressful life events (SLE) in two UK population-based cohorts (Generation Scotland and UK Biobank). No SNP was individually significant in either GWAS, but gene-based tests identified six genes associated with depressive symptoms in UK Biobank (DCC, ACSS3, DRD2, STAG1, FOXP2 and KYNU; p < 2.77 × 10-6). Two SNPs with genome-wide significant GxE effects were identified by GWEIS in Generation Scotland: rs12789145 (53-kb downstream PIWIL4; p = 4.95 × 10-9; total SLE) and rs17070072 (intronic to ZCCHC2; p = 1.46 × 10-8; dependent SLE). A third locus upstream CYLC2 (rs12000047 and rs12005200, p < 2.00 × 10-8; dependent SLE) when the joint effect of the SNP main and GxE effects was considered. GWEIS gene-based tests identified: MTNR1B with GxE effect with dependent SLE in Generation Scotland; and PHF2 with the joint effect in UK Biobank (p < 2.77 × 10-6). Polygenic risk scores (PRSs) analyses incorporating GxE effects improved the prediction of depressive symptom scores, when using weights derived from either the UK Biobank GWAS of depressive symptoms (p = 0.01) or the PGC GWAS of major depressive disorder (p = 5.91 × 10-3). Using an independent sample, PRS derived using GWEIS GxE effects provided evidence of shared aetiologies between depressive symptoms and schizotypal personality, heart disease and COPD. Further such studies are required and may result in improved treatments for depression and other stress-related conditions.
Published: 2019

12. Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns

Author: Czamara, D, Eraslan, G, Page, CM, Lahti, J, Lahti-Pulkkinen, M, Hamalainen, E, Kajantie, E, Laivuori, H, Villa, PM, Reynolds, RM, Nystad, W, Haberg, SE, London, SJ, O'Donnell, KJ, Garg, E, Meaney, MJ, Entringer, S, Wadhwa, PD, Buss, C, Jones, MJ, Lin, DTS, MacIsaac, JL, Kobor, MS, Koen, N, Zar, HJ, Koenen, KC, Dalvie, S, Stein, DJ, Kondofersky, I, Mueller, NS, Theis, FJ, Raikkonen, K, Binder, EB, Wray, NR, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Adams, MJ, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Blackwood, DHR, Bryois, J, Buttenschon, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T-K, Coleman, JR, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, C, Dunn, EC, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Forstner, AJ, Frank, J, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hall, LS, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Ising, M, Jansen, R, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Krogh, J, Kutalik, Z, Li, Y, Lind, PA, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, McGuffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, O'Reilly, PF, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Peyrot, WJ, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Shi, J, Shyn, S, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Smith, DJ, Stefansson, H, Steinberg, S, Streit, F, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thomson, PA, Thorgeirsson, TE, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, Van der Auwera, S, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Witt, SH, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Baune, BT, Berger, K, Boomsma, D, Cichon, S, Dannlowski, U, de Geus, EJC, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Grabe, HJ, Hamilton, SP, Hayward, C, Heath, AC, Kendler, KS, Kloiber, S, Lewis, G, Li, QS, Lucae, S, Madden, PAF, Magnusson, PK, Martin, NG, McIntosh, AM, Metspalu, A, Mors, O, Mortensen, PB, Mueller-Myhsok, B, Nordentoft, M, Noethen, MM, O'Donovan, MC, Paciga, SA, Pedersen, NL, Penninx, BWJH, Perlis, RH, Porteous, DJ, Potash, JB, Preisig, M, Rietschel, M, Schaefer, C, Schulze, TG, Smoller, JW, Stefansson, K, Tiemeier, H, Uher, R, Voelzke, H, Weissman, MM, Werge, T, Lewis, CM, Levinson, DF, Breen, G, Borglum, AD, Sullivan, PF, Czamara, D, Eraslan, G, Page, CM, Lahti, J, Lahti-Pulkkinen, M, Hamalainen, E, Kajantie, E, Laivuori, H, Villa, PM, Reynolds, RM, Nystad, W, Haberg, SE, London, SJ, O'Donnell, KJ, Garg, E, Meaney, MJ, Entringer, S, Wadhwa, PD, Buss, C, Jones, MJ, Lin, DTS, MacIsaac, JL, Kobor, MS, Koen, N, Zar, HJ, Koenen, KC, Dalvie, S, Stein, DJ, Kondofersky, I, Mueller, NS, Theis, FJ, Raikkonen, K, Binder, EB, Wray, NR, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Adams, MJ, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Blackwood, DHR, Bryois, J, Buttenschon, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T-K, Coleman, JR, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, C, Dunn, EC, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Forstner, AJ, Frank, J, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hall, LS, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Ising, M, Jansen, R, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Krogh, J, Kutalik, Z, Li, Y, Lind, PA, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, McGuffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, O'Reilly, PF, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Peyrot, WJ, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Shi, J, Shyn, S, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Smith, DJ, Stefansson, H, Steinberg, S, Streit, F, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thomson, PA, Thorgeirsson, TE, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, Van der Auwera, S, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Witt, SH, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Baune, BT, Berger, K, Boomsma, D, Cichon, S, Dannlowski, U, de Geus, EJC, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Grabe, HJ, Hamilton, SP, Hayward, C, Heath, AC, Kendler, KS, Kloiber, S, Lewis, G, Li, QS, Lucae, S, Madden, PAF, Magnusson, PK, Martin, NG, McIntosh, AM, Metspalu, A, Mors, O, Mortensen, PB, Mueller-Myhsok, B, Nordentoft, M, Noethen, MM, O'Donovan, MC, Paciga, SA, Pedersen, NL, Penninx, BWJH, Perlis, RH, Porteous, DJ, Potash, JB, Preisig, M, Rietschel, M, Schaefer, C, Schulze, TG, Smoller, JW, Stefansson, K, Tiemeier, H, Uher, R, Voelzke, H, Weissman, MM, Werge, T, Lewis, CM, Levinson, DF, Breen, G, Borglum, AD, and Sullivan, PF
Abstract: Epigenetic processes, including DNA methylation (DNAm), are among the mechanisms allowing integration of genetic and environmental factors to shape cellular function. While many studies have investigated either environmental or genetic contributions to DNAm, few have assessed their integrated effects. Here we examine the relative contributions of prenatal environmental factors and genotype on DNA methylation in neonatal blood at variably methylated regions (VMRs) in 4 independent cohorts (overall n = 2365). We use Akaike's information criterion to test which factors best explain variability of methylation in the cohort-specific VMRs: several prenatal environmental factors (E), genotypes in cis (G), or their additive (G + E) or interaction (GxE) effects. Genetic and environmental factors in combination best explain DNAm at the majority of VMRs. The CpGs best explained by either G, G + E or GxE are functionally distinct. The enrichment of genetic variants from GxE models in GWAS for complex disorders supports their importance for disease risk.
Published: 2019

13. Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder

Author: de Jong, S, Diniz, MJA, Saloma, A, Gadelha, A, Santoro, ML, Ota, VK, Noto, C, Wray, NR, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Adams, MJ, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, SA, Bækvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Binder, EB, Blackwood, DHR, Bryois, J, Buttenschøn, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, TK, Coleman, JRI, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, CV, Dunn, EC, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Forstner, AJ, Frank, J, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, JJ, Hougaard, DM, Ising, M, Jansen, R, Jones, I, Jones, LA, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Krogh, J, Kutalik, Z, Li, Y, Lind, PA, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, McGuffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, Oskarsson, H, Owen, MJ, Painter, JN, de Jong, S, Diniz, MJA, Saloma, A, Gadelha, A, Santoro, ML, Ota, VK, Noto, C, Wray, NR, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Adams, MJ, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, SA, Bækvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Binder, EB, Blackwood, DHR, Bryois, J, Buttenschøn, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, TK, Coleman, JRI, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, CV, Dunn, EC, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Forstner, AJ, Frank, J, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, JJ, Hougaard, DM, Ising, M, Jansen, R, Jones, I, Jones, LA, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Krogh, J, Kutalik, Z, Li, Y, Lind, PA, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, McGuffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, Oskarsson, H, Owen, MJ, and Painter, JN
Abstract: Psychiatric disorders are thought to have a complex genetic pathology consisting of interplay of common and rare variation. Traditionally, pedigrees are used to shed light on the latter only, while here we discuss the application of polygenic risk scores to also highlight patterns of common genetic risk. We analyze polygenic risk scores for psychiatric disorders in a large pedigree (n ~ 260) in which 30% of family members suffer from major depressive disorder or bipolar disorder. Studying patterns of assortative mating and anticipation, it appears increased polygenic risk is contributed by affected individuals who married into the family, resulting in an increasing genetic risk over generations. This may explain the observation of anticipation in mood disorders, whereby onset is earlier and the severity increases over the generations of a family. Joint analyses of rare and common variation may be a powerful way to understand the familial genetics of psychiatric disorders.
Published: 2018

14. Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics

Author: Beaumont, RN, Warrington, NM, Cavadino, A, Tyrrell, J, Nodzenski, M, Horikoshi, M, Geller, F, Myhre, R, Richmond, Rebecca, Paternoster, L, Bradfield, JP, Kreiner-Moller, E, Huikari, V, Metrustry, S, Lunetta, KL, Painter, JN, Hottenga, JJ, Allard, C, Barton, SJ, Espinosa, A, Marsh, JA, Potter, C, Zhang, G, Ang, W, Berry, DJ, Bouchard, L, Das, S, Hakonarson, H, Heikkinen, J, Helgeland, O, Hocher, B, Hofman, Bert, Inskip, HM, Jones, SE, Kogevinas, M, Lind, PA, Marullo, L, Medland, SE, Murray, A, Murray, JC, Njolstad, PR, Nohr, EA, Reichetzeder, C, Ring, SM, Ruth, KS, Santa-Marina, L, Scholtens, DM, Sebert, S, Sengpiel, V, Tuke, MA, Vaudel, M, Weedon, MN, Willemsen, G, Wood, AR, Yaghootkar, H, Muglia, LJ, Bartels, M, Relton, CL, Pennell, CE, Chatzi, L, Estivill, X, Holloway, JW, Boomsma, DI, Montgomery, GW, Murabito, JM, Spector, TD, Power, C, Jarvelin, MR, Bisgaard, H, Grant, SFA, Sorensen, TIA, Jaddoe, Vincent, Jacobsson, B, Melbye, M, McCarthy, MI, Hattersley, AT, Hayes, MG, Frayling, TM, Hivert, MF, Felix, Janine, Hypponen, E, Lowe, WL, Evans, DM, Lawlor, DA, Feenstra, B, Freathy, RM, Beaumont, RN, Warrington, NM, Cavadino, A, Tyrrell, J, Nodzenski, M, Horikoshi, M, Geller, F, Myhre, R, Richmond, Rebecca, Paternoster, L, Bradfield, JP, Kreiner-Moller, E, Huikari, V, Metrustry, S, Lunetta, KL, Painter, JN, Hottenga, JJ, Allard, C, Barton, SJ, Espinosa, A, Marsh, JA, Potter, C, Zhang, G, Ang, W, Berry, DJ, Bouchard, L, Das, S, Hakonarson, H, Heikkinen, J, Helgeland, O, Hocher, B, Hofman, Bert, Inskip, HM, Jones, SE, Kogevinas, M, Lind, PA, Marullo, L, Medland, SE, Murray, A, Murray, JC, Njolstad, PR, Nohr, EA, Reichetzeder, C, Ring, SM, Ruth, KS, Santa-Marina, L, Scholtens, DM, Sebert, S, Sengpiel, V, Tuke, MA, Vaudel, M, Weedon, MN, Willemsen, G, Wood, AR, Yaghootkar, H, Muglia, LJ, Bartels, M, Relton, CL, Pennell, CE, Chatzi, L, Estivill, X, Holloway, JW, Boomsma, DI, Montgomery, GW, Murabito, JM, Spector, TD, Power, C, Jarvelin, MR, Bisgaard, H, Grant, SFA, Sorensen, TIA, Jaddoe, Vincent, Jacobsson, B, Melbye, M, McCarthy, MI, Hattersley, AT, Hayes, MG, Frayling, TM, Hivert, MF, Felix, Janine, Hypponen, E, Lowe, WL, Evans, DM, Lawlor, DA, Feenstra, B, and Freathy, RM
Published: 2018

15. 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, and Hall, LM
Subjects: BioBank Japan Project
Abstract: © 2015 Macmillan Publishers Limited. All rights reserved. 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

16. 1 Personality Polygenes, Positive Affect, and Life Satisfaction

Author: Weiss, A, Baselmans, BML, Hofer, E, Yang, J, Okbay, A, Lind, PA, Miller, MB, Nolte, IM, Zhao, W, Hagenaars, SP, Hottenga, J-J, Matteson, LK, Snieder, H, Faul, JD, Hartman, CA, Boyle, PA, Tiemeier, H, Mosing, MA, Pattie, A, Davies, G, Liewald, DC, Schmidt, R, De Jager, PL, Heath, AC, Jokela, M, Starr, JM, Oldehinkel, AJ, Johannesson, M, Cesarini, D, Hofman, A, Harris, SE, Smith, JA, Keltikangas-Jaervinen, L, Pulkki-Raback, L, Schmidt, H, Smith, J, Iacono, WG, McGue, M, Bennett, DA, Pedersen, NL, Magnusson, PKE, Deary, IJ, Martin, NG, Boomsma, DI, Bartels, M, Luciano, M, Weiss, A, Baselmans, BML, Hofer, E, Yang, J, Okbay, A, Lind, PA, Miller, MB, Nolte, IM, Zhao, W, Hagenaars, SP, Hottenga, J-J, Matteson, LK, Snieder, H, Faul, JD, Hartman, CA, Boyle, PA, Tiemeier, H, Mosing, MA, Pattie, A, Davies, G, Liewald, DC, Schmidt, R, De Jager, PL, Heath, AC, Jokela, M, Starr, JM, Oldehinkel, AJ, Johannesson, M, Cesarini, D, Hofman, A, Harris, SE, Smith, JA, Keltikangas-Jaervinen, L, Pulkki-Raback, L, Schmidt, H, Smith, J, Iacono, WG, McGue, M, Bennett, DA, Pedersen, NL, Magnusson, PKE, Deary, IJ, Martin, NG, Boomsma, DI, Bartels, M, and Luciano, M
Abstract: Approximately half of the variation in wellbeing measures overlaps with variation in personality traits. Studies of non-human primate pedigrees and human twins suggest that this is due to common genetic influences. We tested whether personality polygenic scores for the NEO Five-Factor Inventory (NEO-FFI) domains and for item response theory (IRT) derived extraversion and neuroticism scores predict variance in wellbeing measures. Polygenic scores were based on published genome-wide association (GWA) results in over 17,000 individuals for the NEO-FFI and in over 63,000 for the IRT extraversion and neuroticism traits. The NEO-FFI polygenic scores were used to predict life satisfaction in 7 cohorts, positive affect in 12 cohorts, and general wellbeing in 1 cohort (maximal N = 46,508). Meta-analysis of these results showed no significant association between NEO-FFI personality polygenic scores and the wellbeing measures. IRT extraversion and neuroticism polygenic scores were used to predict life satisfaction and positive affect in almost 37,000 individuals from UK Biobank. Significant positive associations (effect sizes <0.05%) were observed between the extraversion polygenic score and wellbeing measures, and a negative association was observed between the polygenic neuroticism score and life satisfaction. Furthermore, using GWA data, genetic correlations of -0.49 and -0.55 were estimated between neuroticism with life satisfaction and positive affect, respectively. The moderate genetic correlation between neuroticism and wellbeing is in line with twin research showing that genetic influences on wellbeing are also shared with other independent personality domains.
Published: 2016

17. 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

18. Identification of heart rate-associated loci and their effects on cardiac conduction and rhythm disorders

Author: den Hoed, M, Eijgelsheim, M, Esko, T, Brundel, Bj, Peal, Ds, Evans, Dm, Nolte, Im, Segrè, Av, Holm, H, Handsaker, Re, Westra, Hj, Johnson, T, Isaacs, A, Yang, J, Lundby, A, Zhao, Jh, Kim, Yj, Go, Mj, Almgren, P, Bochud, M, Boucher, G, Cornelis, Mc, Gudbjartsson, D, Hadley, D, van der Harst, P, Hayward, C, den Heijer, M, Igl, W, Jackson, Au, Kutalik, Z, Luan, J, Kemp, Jp, Kristiansson, K, Ladenvall, C, Lorentzon, M, Montasser, Me, Njajou, Ot, O'Reilly, Pf, Padmanabhan, S, St Pourcain, B, Rankinen, T, Salo, P, Tanaka, T, Timpson, Nj, Vitart, V, Waite, L, Wheeler, W, Zhang, W, Draisma, Hh, Feitosa, Mf, Kerr, Kf, Lind, Pa, Mihailov, E, Onland Moret NC, Song, C, Weedon, Mn, Xie, W, Yengo, L, Absher, D, Albert, Cm, Alonso, A, Arking, De, de Bakker PI, Balkau, B, Barlassina, C, Benaglio, P, Bis, Jc, Bouatia Naji, N, Brage, S, Chanock, Sj, Chines, Ps, Chung, M, Darbar, D, Dina, C, Dörr, M, Elliott, P, Felix, Sb, Fischer, K, Fuchsberger, C, de Geus EJ, Goyette, P, Gudnason, V, Harris, Tb, Hartikainen, Al, Havulinna, As, Heckbert, Sr, Hicks, Aa, Hofman, A, Holewijn, S, Hoogstra Berends, F, Hottenga, Jj, Jensen, Mk, Johansson, A, Junttila, J, Kääb, S, Kanon, B, Ketkar, S, Khaw, Kt, Knowles, Jw, Kooner, As, Kors, Ja, Kumari, M, Milani, L, Laiho, P, Lakatta, Eg, Langenberg, C, Leusink, M, Liu, Y, Luben, Rn, Lunetta, Kl, Lynch, Sn, Markus, Mr, Marques Vidal, P, Mateo Leach, I, Mcardle, Wl, Mccarroll, Sa, Medland, Se, Miller, Ka, Montgomery, Gw, Morrison, Ac, Müller Nurasyid, M, Navarro, P, Nelis, M, O'Connell, Jr, O'Donnell, Cj, Ong, Kk, Newman, Ab, Peters, A, Polasek, O, Pouta, A, Pramstaller, Pp, Psaty, Bm, Rao, Dc, Ring, Sm, Rossin, Ej, Rudan, D, Sanna, S, Scott, Ra, Sehmi, Js, Sharp, S, Shin, Jt, Singleton, Ab, Smith, Av, Soranzo, N, Spector, Td, Stewart, C, Stringham, Hm, Tarasov, Kv, Uitterlinden, Ag, Vandenput, L, Hwang, Sj, Whitfield, Jb, Wijmenga, C, Wild, Sh, Willemsen, G, Wilson, Jf, Witteman, Jc, Wong, A, Wong, Q, Jamshidi, Y, Zitting, P, Boer, Jm, Boomsma, Di, Borecki, Ib, van Duijn CM, Ekelund, U, Forouhi, Ng, Froguel, P, Hingorani, A, Ingelsson, E, Kivimaki, M, Kronmal, Ra, Kuh, D, Lind, L, Martin, Ng, Oostra, Ba, Pedersen, Nl, Quertermous, T, Rotter, Ji, van der Schouw YT, Verschuren, Wm, Walker, M, Albanes, D, Arnar, Do, Assimes, Tl, Bandinelli, S, Boehnke, M, de Boer RA, Bouchard, C, Caulfield, Wl, Chambers, Jc, Curhan, G, Cusi, D, Eriksson, J, Ferrucci, L, van Gilst WH, Glorioso, N, de Graaf, J, Groop, L, Gyllensten, U, Hsueh, Wc, Hu, Fb, Huikuri, Hv, Hunter, Dj, Iribarren, C, Isomaa, B, Jarvelin, Mr, Jula, A, Kähönen, M, Kiemeney, La, van der Klauw MM, Kooner, Js, Kraft, P, Iacoviello, Licia, Lehtimäki, T, Lokki, Ml, Mitchell, Bd, Navis, G, Nieminen, Ms, Ohlsson, C, Poulter, Nr, Qi, L, Raitakari, Ot, Rimm, Eb, Rioux, Jd, Rizzi, F, Rudan, I, Salomaa, V, Sever, Ps, Shields, Dc, Shuldiner, Ar, Sinisalo, J, Stanton, Av, Stolk, Rp, Strachan, Dp, Tardif, Jc, Thorsteinsdottir, U, Tuomilehto, J, van Veldhuisen DJ, Virtamo, J, Viikari, J, Vollenweider, P, Waeber, G, Widen, E, Cho, Ys, Olsen, Jv, Visscher, Pm, Willer, C, Franke, L, Global BPgen Consortium, Cardiogram, Consortium, Erdmann, J, Thompson, Jr, PR GWAS Consortium, Pfeufer, A, QRS GWAS Consortium, Sotoodehnia, N, QT IGC Consortium, Newton Cheh, C, CHARGE AF Consortium, Ellinor, Pt, Stricker, Bh, Metspalu, A, Perola, M, Beckmann, Js, Smith, Gd, Stefansson, K, Wareham, Nj, Munroe, Pb, Sibon, Oc, Milan, Dj, Snieder, H, Samani, Nj, Loos, R. J., Global BPgen Consortium, CARDIoGRAM Consortium, PR GWAS Consortium, QRS GWAS Consortium, QT-IGC Consortium, CHARGE-AF Consortium, Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, Neuroscience Campus Amsterdam - Brain Imaging Technology, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, Humane Biologie, Epidemiology, Public Health, Clinical Genetics, Surgery, Medical Informatics, Internal Medicine, NCA - Brain mechanisms in health and disease, NCA - Neurobiology of mental health, ICaR - Circulation and metabolism, EMGO - Lifestyle, overweight and diabetes, NCA - Brain imaging technology, ACS - Heart failure & arrhythmias, Physiology, Internal medicine, Cardiovascular Centre (CVC), Vascular Ageing Programme (VAP), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Molecular Neuroscience and Ageing Research (MOLAR), and Stem Cell Aging Leukemia and Lymphoma (SALL)
Subjects: Netherlands Twin Register (NTR), Aetiology, screening and detection [ONCOL 5], 030204 cardiovascular system & hematology, Arrhythmias, DISEASE, Sudden cardiac death, PR INTERVAL, 0302 clinical medicine, Gene Frequency, Heart Rate, Arrhythmias, Cardiac/genetics, 0303 health sciences, COMMON VARIANTS, Dilated cardiomyopathy, Atrial fibrillation, Single Nucleotide, Heart Rate/genetics, 3. Good health, DROSOPHILA, LIBRARY, Cardiology, QRS DURATION, Electrical conduction system of the heart, Metabolic Networks and Pathways, rhytm, conduction, gene, medicine.medical_specialty, SUSCEPTIBILITY LOCI, Quantitative Trait Loci, Cardiac/genetics, Biology, Polymorphism, Single Nucleotide, Article, Sick sinus syndrome, Heart Conduction System/physiopathology, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Heart Conduction System, Internal medicine, Cardiac conduction, Heart rate, Genetics, medicine, Animals, Humans, GENOME-WIDE ASSOCIATION, Polymorphism, Health aging / healthy living Cardiovascular diseases [IGMD 5], Molecular epidemiology Aetiology, screening and detection [NCEBP 1], 030304 developmental biology, QT INTERVAL, Arrhythmias, Cardiac, ta3121, medicine.disease, Endocrinology, Genetic Loci, Heart failure, ATRIAL-FIBRILLATION, Genome-Wide Association Study
Abstract: Elevated resting heart rate is associated with greater risk of cardiovascular disease and mortality. In a 2-stage meta-analysis of genome-wide association studies in up to 181,171 individuals, we identified 14 new loci associated with heart rate and confirmed associations with all 7 previously established loci. Experimental downregulation of gene expression in Drosophila melanogaster and Danio rerio identified 20 genes at 11 loci that are relevant for heart rate regulation and highlight a role for genes involved in signal transmission, embryonic cardiac development and the pathophysiology of dilated cardiomyopathy, congenital heart failure and/or sudden cardiac death. In addition, genetic susceptibility to increased heart rate is associated with altered cardiac conduction and reduced risk of sick sinus syndrome, and both heart rate-increasing and heart rate-decreasing variants associate with risk of atrial fibrillation. Our findings provide fresh insights into the mechanisms regulating heart rate and identify new therapeutic targets. © 2013 Nature America, Inc. All rights reserved.
Published: 2013

19. A meta-analysis of genome-wide association studies identifies novel variants associated with osteoarthritis of the hip

Author: Evangelou, E, Kerkhof, HJ, Styrkarsdottir, U, Ntzani, EE, Bos, SD (Steffan Daniel), Esko, T, Evans, DS, Metrustry, S, Panoutsopoulou, K, Ramos, YFM, Thorleifsson, G, Tsilidis, KK, Arden, N, Aslam, N, Bellamy, N, Birrell, F, Blanco, FJ, Carr, A, Chapman, K, Day-Williams, AG, Deloukas, P, Doherty, M, Engstrom, G, Helgadottir, HT, Hofman, Bert, Ingvarsson, T, Jonsson, H, Keis, A, Keurentjes, JC, Kloppenburg, M, Lind, PA, McCaskie, A, Martin, NG, Milani, L, Montgomery, GW, Nelissen, RGHH, Nevitt, MC, Nilsson, PM, Ollier, WER, Parimi, N, Rai, A, Ralston, SH, Reed, MR, Riancho, JA, Rivadeneira, Fernando, Rodriguez-Fontenla, C, Southam, L, Thorsteinsdottir, U, Tsezou, A, AWallis, G, Wilkinson, JM, Gonzalez, A, Lane, NE, Lohmander, LS, Loughlin, J, Metspalu, A, Uitterlinden, André, Jonsdottir, I, Stefansson, K, Slagboom, PE (Eline), Zeggini, E, Meulenbelt, I, Ioannidis, JPA, Spector, TD, van Meurs, Joyce, Valdes, AM, Evangelou, E, Kerkhof, HJ, Styrkarsdottir, U, Ntzani, EE, Bos, SD (Steffan Daniel), Esko, T, Evans, DS, Metrustry, S, Panoutsopoulou, K, Ramos, YFM, Thorleifsson, G, Tsilidis, KK, Arden, N, Aslam, N, Bellamy, N, Birrell, F, Blanco, FJ, Carr, A, Chapman, K, Day-Williams, AG, Deloukas, P, Doherty, M, Engstrom, G, Helgadottir, HT, Hofman, Bert, Ingvarsson, T, Jonsson, H, Keis, A, Keurentjes, JC, Kloppenburg, M, Lind, PA, McCaskie, A, Martin, NG, Milani, L, Montgomery, GW, Nelissen, RGHH, Nevitt, MC, Nilsson, PM, Ollier, WER, Parimi, N, Rai, A, Ralston, SH, Reed, MR, Riancho, JA, Rivadeneira, Fernando, Rodriguez-Fontenla, C, Southam, L, Thorsteinsdottir, U, Tsezou, A, AWallis, G, Wilkinson, JM, Gonzalez, A, Lane, NE, Lohmander, LS, Loughlin, J, Metspalu, A, Uitterlinden, André, Jonsdottir, I, Stefansson, K, Slagboom, PE (Eline), Zeggini, E, Meulenbelt, I, Ioannidis, JPA, Spector, TD, van Meurs, Joyce, and Valdes, AM
Abstract: Objectives Osteoarthritis (OA) is the most common form of arthritis with a clear genetic component. To identify novel loci associated with hip OA we performed a meta-analysis of genome-wide association studies (GWAS) on European subjects. Methods We performed a two-stage meta-analysis on more than 78 000 participants. In stage 1, we synthesised data from eight GWAS whereas data from 10 centres were used for 'in silico' or 'de novo' replication. Besides the main analysis, a stratified by sex analysis was performed to detect possible sex-specific signals. Meta-analysis was performed using inverse-variance fixed effects models. A random effects approach was also used. Results We accumulated 11 277 cases of radiographic and symptomatic hip OA. We prioritised eight single nucleotide polymorphism (SNPs) for follow-up in the discovery stage (4349 OA cases); five from the combined analysis, two male specific and one female specific. One locus, at 20q13, represented by rs6094710 (minor allele frequency (MAF) 4%) near the NCOA3 (nuclear receptor coactivator 3) gene, reached genome-wide significance level with p=7.9x10(-9) and OR=1.28 (95% CI 1.18 to 1.39) in the combined analysis of discovery (p= 5.6x10(-8)) and follow-up studies (p=7.3x10(-4)). We showed that this gene is expressed in articular cartilage and its expression was significantly reduced in OA-affected cartilage. Moreover, two loci remained suggestive associated; rs5009270 at 7q31 (MAF 30%, p=9.9x10(-7), OR=1.10) and rs3757837 at 7p13 (MAF 6%, p=2.2x10(-6), OR=1.27 in male specific analysis). Conclusions Novel genetic loci for hip OA were found in this meta-analysis of GWAS.
Published: 2014

20. Adjuvant chemotherapy with fluorouracil plus folinic acid vs gemcitabine following pancreatic cancer resection: a randomized controlled trial.

Author: Neoptolemos JP, Stocken DD, Bassi C, Ghaneh P, Cunningham D, Goldstein D, Padbury R, Moore MJ, Gallinger S, Mariette C, Wente MN, Izbicki JR, Friess H, Lerch MM, Dervenis C, Oláh A, Butturini G, Doi R, Lind PA, and Smith D
Abstract: Context: Adjuvant fluorouracil has been shown to be of benefit for patients with resected pancreatic cancer. Gemcitabine is known to be the most effective agent in advanced disease as well as an effective agent in patients with resected pancreatic cancer.Objective: To determine whether fluorouracil or gemcitabine is superior in terms of overall survival as adjuvant treatment following resection of pancreatic cancer.Design, Setting, and Patients: The European Study Group for Pancreatic Cancer (ESPAC)-3 trial, an open-label, phase 3, randomized controlled trial conducted in 159 pancreatic cancer centers in Europe, Australasia, Japan, and Canada. Included in ESPAC-3 version 2 were 1088 patients with pancreatic ductal adenocarcinoma who had undergone cancer resection; patients were randomized between July 2000 and January 2007 and underwent at least 2 years of follow-up.Interventions: Patients received either fluorouracil plus folinic acid (folinic acid, 20 mg/m(2), intravenous bolus injection, followed by fluorouracil, 425 mg/m(2) intravenous bolus injection given 1-5 days every 28 days) (n = 551) or gemcitabine (1000 mg/m(2) intravenous infusion once a week for 3 of every 4 weeks) (n = 537) for 6 months.Main Outcome Measures: Primary outcome measure was overall survival; secondary measures were toxicity, progression-free survival, and quality of life.Results: Final analysis was carried out on an intention-to-treat basis after a median of 34.2 (interquartile range, 27.1-43.4) months' follow-up after 753 deaths (69%). Median survival was 23.0 (95% confidence interval [CI], 21.1-25.0) months for patients treated with fluorouracil plus folinic acid and 23.6 (95% CI, 21.4-26.4) months for those treated with gemcitabine (chi(1)(2) = 0.7; P = .39; hazard ratio, 0.94 [95% CI, 0.81-1.08]). Seventy-seven patients (14%) receiving fluorouracil plus folinic acid had 97 treatment-related serious adverse events, compared with 40 patients (7.5%) receiving gemcitabine, who had 52 events (P < .001). There were no significant differences in either progression-free survival or global quality-of-life scores between the treatment groups.Conclusion: Compared with the use of fluorouracil plus folinic acid, gemcitabine did not result in improved overall survival in patients with completely resected pancreatic cancer.Trial Registration: clinicaltrials.gov Identifier: NCT00058201. [ABSTRACT FROM AUTHOR]
Published: 2010
Full Text: View/download PDF

21. Replication of the association of common rs9939609 variant of FTO with increased BMI in an Australian adult twin population but no evidence for gene by environment (G x E) interaction.

Author: Cornes BK, Lind PA, Medland SE, Montgomery GW, Nyholt DR, Martin NG, Cornes, B K, Lind, P A, Medland, S E, Montgomery, G W, Nyholt, D R, and Martin, N G
Abstract: Objective: To further investigate a common variant (rs9939609) in the fat mass- and obesity-associated gene (FTO), which recent genome-wide association studies have shown to be associated with body mass index (BMI) and obesity. Design: We examined the effect of this FTO variant on BMI in 3353 Australian adult male and female twins. Results: The minor A allele of rs9939609 was associated with an increased BMI (P=0.0007). Each additional copy of the A allele was associated with a mean BMI increase of approximately 1.04 kg/m(2) (approximately 3.71 kg). Using variance components decomposition, we estimate that this single-nucleotide polymorphism accounts for approximately 3% of the genetic variance in BMI in our sample (approximately 2% of the total variance). By comparing intrapair variances of monozygotic twins of different genotypes we were able to perform a direct test of gene by environment (G x E) interaction in both sexes and gene by parity (G x P) interaction in women, but no evidence was found for either. Conclusions: In addition to supporting earlier findings that the rs9939609 variant in the FTO gene is associated with an increased BMI, our results indicate that the associated genetic effect does not interact with environment or parity. [ABSTRACT FROM AUTHOR]
Published: 2009
Full Text: View/download PDF

22. Genome-wide association and epidemiological analyses reveal common genetic origins between uterine leiomyomata and endometriosis

Author: Gallagher, CS, Mäkinen, N, Harris, HR, Rahmioglu, N, Uimari, O, Cook, JP, Shigesi, N, Ferreira, T, Velez-Edwards, DR, Edwards, TL, Mortlock, S, Ruhioglu, Z, Day, F, Becker, CM, Karhunen, V, Martikainen, H, Järvelin, M-R, Cantor, RM, Ridker, PM, Terry, KL, Buring, JE, Gordon, SD, Medland, SE, Montgomery, GW, Nyholt, DR, Hinds, DA, Tung, JY, 23andMe Research Team, Perry, JRB, Lind, PA, Painter, JN, Martin, NG, Morris, AP, Chasman, DI, Missmer, SA, Zondervan, KT, and Morton, CC
Subjects: Adult, Leiomyoma, Forkhead Box Protein O1, Endometriosis, Ataxia Telangiectasia Mutated Proteins, Mendelian Randomization Analysis, Middle Aged, Polymorphism, Single Nucleotide, White People, 3. Good health, Uterine Neoplasms, Humans, Female, Receptor, Fibroblast Growth Factor, Type 4, Menorrhagia, Telomerase, Genome-Wide Association Study, Proportional Hazards Models, Signal Transduction
Abstract: Uterine leiomyomata (UL) are the most common neoplasms of the female reproductive tract and primary cause for hysterectomy, leading to considerable morbidity and high economic burden. Here we conduct a GWAS meta-analysis in 35,474 cases and 267,505 female controls of European ancestry, identifying eight novel genome-wide significant (P < 5 × 10-8) loci, in addition to confirming 21 previously reported loci, including multiple independent signals at 10 loci. Phenotypic stratification of UL by heavy menstrual bleeding in 3409 cases and 199,171 female controls reveals genome-wide significant associations at three of the 29 UL loci: 5p15.33 (TERT), 5q35.2 (FGFR4) and 11q22.3 (ATM). Four loci identified in the meta-analysis are also associated with endometriosis risk; an epidemiological meta-analysis across 402,868 women suggests at least a doubling of risk for UL diagnosis among those with a history of endometriosis. These findings increase our understanding of genetic contribution and biology underlying UL development, and suggest overlapping genetic origins with endometriosis.

23. Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk

Author: Day, FR, Thompson, DJ, Helgason, H, Chasman, DI, Finucane, H, Sulem, P, Ruth, KS, Whalen, S, Sarkar, AK, Albrecht, E, Altmaier, E, Amini, M, Barbieri, CM, Boutin, T, Campbell, A, Demerath, E, Giri, A, He, C, Hottenga, JJ, Karlsson, R, Kolcic, I, Loh, P-R, Lunetta, KL, Mangino, M, Marco, B, McMahon, G, Medland, SE, Nolte, IM, Noordam, R, Nutile, T, Paternoster, L, Perjakova, N, Porcu, E, Rose, LM, Schraut, KE, Segrè, AV, Smith, AV, Stolk, L, Teumer, A, Andrulis, IL, Bandinelli, S, Beckmann, MW, Benitez, J, Bergmann, S, Bochud, M, Boerwinkle, E, Bojesen, SE, Bolla, MK, Brand, JS, Brauch, H, Brenner, H, Broer, L, Brüning, T, Buring, JE, Campbell, H, Catamo, E, Chanock, S, Chenevix-Trench, G, Corre, T, Couch, FJ, Cousminer, DL, Cox, A, Crisponi, L, Czene, K, Davey Smith, G, De Geus, EJCN, De Mutsert, R, De Vivo, I, Dennis, J, Devilee, P, Dos-Santos-Silva, I, Dunning, AM, Eriksson, JG, Fasching, PA, Fernández-Rhodes, L, Ferrucci, L, Flesch-Janys, D, Franke, L, Gabrielson, M, Gandin, I, Giles, GG, Grallert, H, Gudbjartsson, DF, Guénel, P, Hall, P, Hallberg, E, Hamann, U, Harris, TB, Hartman, CA, Heiss, G, Hooning, MJ, Hopper, JL, Hu, F, Hunter, DJ, Ikram, MA, Im, HK, Järvelin, M-R, Joshi, PK, Karasik, D, Kellis, M, Kutalik, Z, LaChance, G, Lambrechts, D, Langenberg, C, Launer, LJ, Laven, JSE, Lenarduzzi, S, Li, J, Lind, PA, Lindstrom, S, Liu, Y, Luan, J, Mägi, R, Mannermaa, A, Mbarek, H, McCarthy, MI, Meisinger, C, Meitinger, T, Menni, C, Metspalu, A, Michailidou, K, Milani, L, Milne, RL, Montgomery, GW, Mulligan, AM, Nalls, MA, Navarro, P, Nevanlinna, H, Nyholt, DR, Oldehinkel, AJ, O'Mara, TA, Padmanabhan, S, Palotie, A, Pedersen, N, Peters, A, Peto, J, Pharoah, PDP, Pouta, A, Radice, P, Rahman, I, Ring, SM, Robino, A, Rosendaal, FR, Rudan, I, Rueedi, R, Ruggiero, D, Sala, CF, Schmidt, MK, Scott, RA, Shah, M, Sorice, R, Southey, MC, Sovio, U, Stampfer, M, Steri, M, Strauch, K, Tanaka, T, Tikkanen, E, Timpson, NJ, Traglia, M, Truong, T, Tyrer, JP, Uitterlinden, AG, Edwards, DRV, Vitart, V, Völker, U, Vollenweider, P, Wang, Q, Widen, E, Van Dijk, KW, Willemsen, G, Winqvist, R, Wolffenbuttel, BHR, Zhao, JH, Zoledziewska, M, Zygmunt, M, Alizadeh, BZ, Boomsma, DI, Ciullo, M, Cucca, F, Esko, T, Franceschini, N, Gieger, C, Gudnason, V, Hayward, C, Kraft, P, Lawlor, DA, Magnusson, PKE, Martin, NG, Mook-Kanamori, DO, Nohr, EA, Polasek, O, Porteous, D, Price, AL, Ridker, PM, Snieder, H, Spector, TD, Stöckl, D, Toniolo, D, Ulivi, S, Visser, JA, Völzke, H, Wareham, NJ, Wilson, JF, LifeLines Cohort Study, InterAct Consortium, KConFab/AOCS Investigators, Endometrial Cancer Association Consortium, Ovarian Cancer Association Consortium, PRACTICAL Consortium, Spurdle, AB, Thorsteindottir, U, Pollard, KS, Easton, DF, Tung, JY, Chang-Claude, J, Hinds, D, Murray, A, Murabito, JM, Stefansson, K, Ong, KK, and Perry, JRB
Subjects: 2. Zero hunger, genome-wide association studies, cancer, reproductive disorders, 3. Good health
Abstract: The timing of puberty is a highly polygenic childhood trait that is epidemiologically associated with various adult diseases. Using 1000 Genomes Project–imputed genotype data in up to ~370,000 women, we identify 389 independent signals (P < 5 × 10$^{−8}$) for age at menarche, a milestone in female pubertal development. In Icelandic data, these signals explain ~7.4% of the population variance in age at menarche, corresponding to ~25% of the estimated heritability. We implicate ~250 genes via coding variation or associated expression, demonstrating significant enrichment in neural tissues. Rare variants near the imprinted genes MKRN3 and DLK1 were identified, exhibiting large effects when paternally inherited. Mendelian randomization analyses suggest causal inverse associations, independent of body mass index (BMI), between puberty timing and risks for breast and endometrial cancers in women and prostate cancer in men. In aggregate, our findings highlight the complexity of the genetic regulation of puberty timing and support causal links with cancer susceptibility.

24. Genetic variants linked to education predict longevity

Author: Chris Power, Gail Davies, Ilaria Gandin, Panagiotis Deloukas, Jennifer E. Huffman, Pascal Timshel, Albert V. Smith, A. Kong, Paul Lichtenstein, Joseph K. Pickrell, Philipp Koellinger, P. L. De Jager, Reedik Mägi, G. B. Chen, Neil Pendleton, B. V. Halldórsson, George Dedoussis, Antti-Pekka Sarin, Natalia Pervjakova, Veikko Salomaa, Simona Vaccargiu, Ozren Polasek, K. H. Jöckel, Elisabeth Steinhagen-Thiessen, Y. Milaneschi, Jessica D. Faul, Patricia A. Boyle, Patrik K. E. Magnusson, Igor Rudan, Christopher P. Nelson, Vilmundur Gudnason, John Attia, Jürgen Wellmann, Kristi Läll, Konstantin Strauch, Stuart J. Ritchie, Markus Perola, Nicola Pirastu, Klaus Bønnelykke, Robert Karlsson, R. de Vlaming, Liisa Keltigangas-Jarvinen, Thomas Meitinger, Riccardo E. Marioni, Anu Loukola, Barbera Franke, Reinhold Schmidt, Maël Lebreton, Sven Oskarsson, E. Mihailov, Harm-Jan Westra, David R. Weir, Aldi T. Kraja, Niek Verweij, Peter M. Visscher, Hans-Jörgen Grabe, Johannes H. Brandsma, Mark Adams, R. J. Scott, G. Thorleifsson, Tõnu Esko, Mika Kähönen, Saskia P. Hagenaars, Patrick Turley, Johannes Waage, Peter Lichtner, Dragana Vuckovic, Antonietta Robino, Henry Völzke, Lydia Quaye, C. de Leeuw, Marika Kaakinen, Wei Zhao, Abdel Abdellaoui, Reka Nagy, Pedro Marques-Vidal, Johan G. Eriksson, Alan F. Wright, Andres Metspalu, Lavinia Paternoster, Momoko Horikoshi, Jan A. Staessen, Tarunveer S. Ahluwalia, Tian Liu, Martin Kroh, Aldo Rustichini, Giorgia Girotto, Cristina Venturini, Lili Milani, Jennifer A. Smith, Ginevra Biino, Tessel E. Galesloot, Michael A. Horan, Gerardus A. Meddens, James F. Wilson, Francesco Cucca, Peter Vollenweider, Erika Salvi, P. J. van der Most, Jari Lahti, Campbell A, David Laibson, Andrew Bakshi, Wolfgang Hoffmann, Tomi Mäki-Opas, Andreas J. Forstner, C M van Duijn, Nicholas G. Martin, Jonathan Marten, Ute Bültmann, Olli T. Raitakari, David A. Bennett, A.G. Uitterlinden, J. E. De Neve, Ingrid B. Borecki, WD Hill, Bo Jacobsson, Antti Latvala, Katri Räikkönen, Michael B. Miller, Jonathan P. Beauchamp, S. J. van der Lee, Ilja Demuth, Stavroula Kanoni, Veronique Vitart, Elina Hyppönen, N. Eklund, Francesco P. Cappuccio, Robert F. Krueger, Maria Pina Concas, Jaime Derringer, F. J.A. Van Rooij, Helena Schmidt, Patrick J. F. Groenen, Valur Emilsson, Rico Rueedi, Aysu Okbay, Georg Homuth, Edith Hofer, W. E. R. Ollier, Hannah Campbell, Paolo Gasparini, Mark Alan Fontana, Magnus Johannesson, Seppo Koskinen, Christopher F. Chabris, Jouke-Jan Hottenga, Christine Meisinger, Kari Stefansson, Jun Ding, Tia Sorensen, Brenda W.J.H. Penninx, Michelle N. Meyer, James J. Lee, Diego Vozzi, Gonneke Willemsen, K. Petrovic, Sarah E. Medland, Mary F. Feitosa, Henning Tiemeier, L. J. Launer, William G. Iacono, Massimo Mangino, Tune H. Pers, S. E. Baumeister, Christopher Oldmeadow, Grant W. Montgomery, Marjo-Riitta Järvelin, Jaakko Kaprio, Catharine R. Gale, S.F.W. Meddens, Kevin Thom, Klaus Berger, Pablo V. Gejman, Lude Franke, Gyda Bjornsdottir, Daniel J. Benjamin, Steven F. Lehrer, Krista Fischer, Alan R. Sanders, S. Ulivi, Katharina E. Schraut, Tim D. Spector, Amy Hofman, Matt McGue, Terho Lehtimäki, D. C. Liewald, Hans Bisgaard, L. Eisele, Astanand Jugessur, George Davey Smith, T.B. Harris, A.R. Thurik, Cornelius A. Rietveld, David Schlessinger, Z. Kutalik, David J. Porteous, Lynne J. Hocking, N J Timpson, A. Palotie, Lambertus A. Kiemeney, Ian J. Deary, Sharon L.R. Kardia, Peter K. Joshi, Nilesh J. Samani, Michael A. Province, Börge Schmidt, Richa Gupta, Carmen Amador, Erin B. Ware, Joyce Y. Tung, Ioanna-Panagiota Kalafati, Lars Bertram, Caroline Hayward, P. van der Harst, Penelope A. Lind, Kadri Kaasik, N.A. Furlotte, Sarah E. Harris, B. St Pourcain, Susan M. Ring, Zhihong Zhu, Alexander Teumer, Behrooz Z. Alizadeh, Judith M. Vonk, Blair H. Smith, A Payton, Wouter J. Peyrot, Jacob Gratten, Douglas F. Levinson, C Gieger, Leanne M. Hall, Andrew Heath, Mario Pirastu, Peter Eibich, Nancy L. Pedersen, Ronny Myhre, Antonio Terracciano, David M. Evans, Raymond A. Poot, Uwe Völker, Dorret I. Boomsma, Clemens Baumbach, Unnur Thorsteinsdottir, Ivana Kolcic, Jia-Shu Yang, Dalton Conley, A. A. Vinkhuyzen, Danielle Posthuma, Karl-Oskar Lindgren, Olga Rostapshova, Jonas Bacelis, Daniele Cusi, Yong Qian, Bjarni Gunnarsson, George McMahon, Elizabeth G. Holliday, Pamela A. F. Madden, David A. Hinds, David Cesarini, Jianxin Shi, Najaf Amin, Dale R. Nyholt, Applied Economics, Epidemiology, Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Aletta Jacobs School of Public Health, Public Health Research (PHR), Stem Cell Aging Leukemia and Lymphoma (SALL), Cardiovascular Centre (CVC), Amsterdam Neuroscience - Complex Trait Genetics, Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, EMGO - Mental health, Complex Trait Genetics, Biological Psychology, Marioni, RE, Ritchie, SJ, Joshi, PK, Hagenaars, SP, Hypponen, E, Benjamin, DJ, Social Science Genetic Association Consortium, Marioni, Re, Ritchie, Sj, Joshi, Pk, Hagenaars, Sp, Okbay, A, Fischer, K, Adams, Mj, Hill, Wd, Davies, G, Nagy, R, Amador, C, Läll, K, Metspalu, A, Liewald, Dc, Campbell, A, Wilson, Jf, Hayward, C, Esko, T, Porteous, Dj, Gale, Cr, Deary, Ij, Beauchamp, Jp, Fontana, Ma, Lee, Jj, Pers, Th, Rietveld, Ca, Turley, P, Chen, Gb, Emilsson, V, Meddens, Sf, Oskarsson, S, Pickrell, Jk, Thom, K, Timshel, P, de Vlaming, R, Abdellaoui, A, Ahluwalia, T, Bacelis, J, Baumbach, C, Bjornsdottir, G, Brandsma, Jh, Concas, MARIA PINA, Derringer, J, Furlotte, Na, Galesloot, Te, Girotto, Giorgia, 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, Sj, 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, J, Smith, Av, Poot, Ra, St Pourcain, B, Teumer, A, Thorleifsson, G, Verweij, N, Vuckovic, Dragana, Wellmann, J, Westra, Hj, Yang, J, Zhao, W, Zhu, Z, Alizadeh, Bz, Amin, N, Bakshi, A, Baumeister, Se, Biino, G, Bønnelykke, K, Boyle, Pa, Campbell, H, Cappuccio, Fp, De Neve, Je, Deloukas, P, Demuth, I, Ding, J, Eibich, P, Eisele, L, Eklund, N, Evans, Dm, Faul, Jd, Feitosa, Mf, Forstner, Aj, Gandin, Ilaria, Gunnarsson, B, Halldórsson, Bv, Harris, Tb, Heath, Ac, Hocking, Lj, Holliday, Eg, Homuth, G, Horan, Ma, Hottenga, Jj, de Jager, Pl, Jugessur, A, Kaakinen, Ma, Kähönen, M, Kanoni, S, Keltigangas Järvinen, L, Kiemeney, La, Kolcic, I, Koskinen, S, Kraja, At, Kroh, M, Kutalik, Z, Latvala, A, Launer, Lj, Lebreton, Mp, Levinson, Df, Lichtenstein, P, Lichtner, P, Loukola, A, Madden, Pa, Mägi, R, Mäki Opas, T, Marques Vidal, P, Meddens, Ga, Mcmahon, G, Meisinger, C, Meitinger, T, Milaneschi, Y, Milani, L, Montgomery, Gw, Myhre, R, Nelson, Cp, Nyholt, Dr, Ollier, We, Palotie, A, Paternoster, L, Pedersen, Nl, Petrovic, Ke, Räikkönen, K, Ring, Sm, Robino, Antonietta, Rostapshova, O, Rudan, I, Rustichini, A, Salomaa, V, Sanders, Ar, Sarin, Ap, Schmidt, H, Scott, Rj, Smith, Bh, Smith, Ja, Staessen, Ja, Steinhagen Thiessen, E, Strauch, K, Terracciano, A, Tobin, Md, Ulivi, Sheila, Vaccargiu, S, Quaye, L, van Rooij, Fj, Venturini, C, Vinkhuyzen, Aa, Völker, U, Völzke, H, Vonk, Jm, Vozzi, Diego, 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, Dedoussis, Gv, van Duijn, Cm, Eriksson, Jg, Franke, B, Franke, L, Gasparini, Paolo, Gejman, Pv, Gieger, C, Grabe, Hj, Gratten, J, Groenen, Pj, Gudnason, V, van der Harst, P, Hinds, Da, Hoffmann, W, Iacono, Wg, Jacobsson, B, Järvelin, Mr, Jöckel, Kh, Kaprio, J, Kardia, Sl, Lehtimäki, T, Lehrer, Sf, Magnusson, Pk, Martin, Ng, Mcgue, M, Pendleton, N, Penninx, Bw, Perola, M, Pirastu, Nicola, Pirastu, M, Polasek, O, Posthuma, D, Power, C, Province, Ma, Samani, Nj, Schlessinger, D, Schmidt, R, Sørensen, Ti, Spector, Td, Stefansson, K, Thorsteinsdottir, U, Thurik, Ar, Timpson, Nj, Tiemeier, H, Tung, Jy, Uitterlinden, Ag, Vitart, V, Vollenweider, P, Weir, Dr, Wright, Af, Conley, Dc, Krueger, Rf, Smith, Gd, Hofman, A, Laibson, Di, Medland, Se, Meyer, Mn, Johannesson, M, Visscher, Pm, Koellinger, Pd, Cesarini, D, and Benjamin, Dj
Subjects: Netherlands Twin Register (NTR), 0301 basic medicine, Male, Parents, education: longevity: prediction: polygenic score [genetics], Multifactorial Inheritance, polygenic, Lebenserwartung, Cohort Studies, 0302 clinical medicine, Databases, Genetic, Medicine, genetics, polygenic score, longevity, education, gene, Soziales und Gesundheit, media_common, Aged, 80 and over, education, Multidisciplinary, Longevity, Middle Aged, Biobank, humanities, 3. Good health, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], Cohort, Educational Status, Female, Cohort study, Estonia, education, longevity, polygenic, Offspring, media_common.quotation_subject, Kultursektor, Prognose, Lernen, Lower risk, Education, 03 medical and health sciences, longevity, SDG 3 - Good Health and Well-being, Commentaries, Polygenic score, Journal Article, Genetics, Humans, Non-Profit-Sektor, Genetic Association Studies, Aged, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], business.industry, ta1184, Genetic Variation, prediction, Educational attainment, United Kingdom, Gesundheitsstatistik, 030104 developmental biology, Genetic epidemiology, Scotland, Gesundheitszustand, Genetische Forschung, business, Prediction, Bildung, 030217 neurology & neurosurgery, Demography
Abstract: Educational attainment is associated with many health outcomes, including longevity. It is also known to be substantially heritable. Here, we used data from three large genetic epidemiology cohort studies (Generation Scotland, n = ∼17,000; UK Biobank, n = ∼115,000; and the Estonian Biobank, n = ∼6,000) to test whether education-linked genetic variants can predict lifespan length. We did so by using cohort members' polygenic profile score for education to predict their parents' longevity. Across the three cohorts, meta-analysis showed that a 1 SD higher polygenic education score was associated with ∼2.7% lower mortality risk for both mothers (total n deaths = 79,702) and ∼2.4% lower risk for fathers (total n deaths = 97,630). On average, the parents of offspring in the upper third of the polygenic score distribution lived 0.55 y longer compared with those of offspring in the lower third. Overall, these results indicate that the genetic contributions to educational attainment are useful in the prediction of human longevity. Marioni RE, Ritchie SJ, Joshi PK, Hagenaars SP, Okbay A, Fischer K, Adams MJ, Hill WD, Davies G, Social Science Genetic Association Consortium, Nagy R, Amador C, Läll K, Metspalu A, Liewald DC, Campbell A, Wilson JF, Hayward C, Esko T, Porteous DJ, Proceedings of the National Academy of Sciences of the United States of America, 2016, vol. 113, no. 47, pp. 13366-13371, 2016 Refereed/Peer-reviewed
Published: 2016

25. Genome-wide analysis identifies 12 loci influencing human reproductive behavior

Author: Ozren Polasek, Bo Jacobsson, Eleonora Porcu, Vinicius Tragante, Joel Eriksson, Jie Yao, Mika Kähönen, Mark Alan Fontana, Stefania Cappellani, J. Viikari, Rick Jansen, Crysovalanto Mamasoula, Linda Broer, Tamara B. Harris, Ellen A. Nohr, Genevieve Lachance, Johan G. Eriksson, Nicholas Eriksson, Rico Rueedi, Francesco Cucca, Jaakko Kaprio, Nicholas J. Timpson, George Dedoussis, Matt McGue, Per Magnus, Klaus Berger, Olli T. Raitakari, Cornelia M. van Duijn, Brenda W.J.H. Penninx, Jing Hua Zhao, Peter Eibich, Sheila Ulivi, Hugoline G. de Haan, Ronny Myhre, Ruth McQuillan, Florian Kronenberg, Markus Perola, Klaus Bønnelykke, Robert Karlsson, Martina La Bianca, Paul Mitchell, Ian J. Deary, Melinda Mills, Teresa Nutile, Patrick J. F. Groenen, Stacey A. Missmer, Nicholas G. Martin, Panos Deloukas, Mario Pirastu, Lindsay K. Matteson, Robert Luben, Veikko Salomaa, Renée de Mutsert, Chris Power, Nir Barzilai, Annette Kifley, Hamdi Mbarek, Denis A. Evans, Erica P. Gunderson, Tim D. Spector, Anke Tönjes, Michela Traglia, Claire Monnereau, Karin Halina Greiser, Sharon L.R. Kardia, John M. Starr, Peter K. Joshi, Sandra Lai, Doris Stöckl, James J. Lee, Heather J. Cordell, Andrew Bakshi, Nicholas J. Wareham, David C. Liewald, P Koponen, Paul M. Ridker, Joyce Y. Tung, Ilaria Gandin, Kauko Heikkilä, Johannes Haerting, Gonneke Willemsen, Janet W. Rich-Edwards, Andrew C. Heath, Astanand Jugessur, John L. Hopper, Stefan Kiechl, Henry Völzke, Daniela Ruggiero, John R. B. Perry, Dan Mellström, Simon R. Cox, Yasaman Saba, Magnus Johannesson, Ginevra Biino, David Schlessinger, Kirsi Auro, Dennis O. Mook-Kanamori, Christa Meisinger, Igor Rudan, Audrey J. Gaskins, Lars Bertram, Roy Thurik, Laura M. Yerges-Armstrong, Caterina Barbieri, Katri Räikkönen, Lawrence F. Bielak, Aviv Bergman, Philipp Koellinger, Ronald de Vlaming, Tian Liu, Johannes W. A. Smit, Peter Kovacs, Vincent W. V. Jaddoe, Jennifer A. Smith, Sven Bergmann, Inga Prokopenko, Xiuqing Guo, Marina Ciullo, Krina T. Zondervan, Marcel den Hoed, Daniel J. Benjamin, Kathryn Roll, Alan F. Wright, Helena Schmidt, William G. Iacono, Jie Jin Wang, Harold Snieder, Juho Wedenoja, Tarunveer S. Ahluwalia, David R. Weir, Ken K. Ong, Daniela Toniolo, Ruifang Li-Gao, Evelin Mihailov, Edith Hofer, Leslie J. Raffel, Daniel I. Chasman, Alexander Kluttig, Bernard Keavney, Eco J. C. de Geus, Kathleen A. Ryan, Kristin L. Ayers, Lude Franke, S. Fleur W. Meddens, Alison Pattie, Jornt J. Mandemakers, Eva Albrecht, David Cesarini, Beverley Balkau, Grant W. Montgomery, Michael Stumvoll, Ahmad Vaez, Michael B. Miller, Najaf Amin, Gyda Bjornsdottir, Cecile Lecoeur, Enes Makalic, Marc Jan Bonder, Terho Lehtimäki, Albert Hofman, Loic Yengo, Lynda M. Rose, Lisette Stolk, Juergen Wellmann, Gail Davies, Eero Kajantie, Nicole Schupf, Hans Bisgaard, Unnur Thorsteinsdottir, Konstantin Strauch, Ivana Kolcic, Lili Milani, Chunyan He, Claes Ohlsson, Yongmei Liu, Gil Atzmon, Janine F. Felix, Christian Gieger, Mike A. Nalls, Riitta Luoto, Nicola Barban, Philippe Froguel, Daniel F. Schmidt, Dorret I. Boomsma, Harry Campbell, Xia Shen, Vasiliki Lagou, Danny Ben-Avraham, Veronique Vitart, Ioanna P. Kalafati, Kari Stefansson, Daria V. Zhernakova, Constance Turman, Julie E. Buring, Johannes Waage, James F. Wilson, Maria Pina Concas, Zoltán Kutalik, Peter Willeit, Jørn Olsen, Dan Rujescu, Caroline Hayward, Penelope A. Lind, George McMahon, Elizabeth G. Holliday, Ilja M. Nolte, Fahimeh Falahi, Minh Bui, Gudmar Thorleifsson, Patrick F. McArdle, Cinzia Sala, Alana Cavadino, Rossella Sorice, Wei Zhao, Andres Metspalu, Sander W. van der Laan, Stavroula Kanoni, Elina Hyppönen, Morris A. Swertz, Simona Vaccargiu, Felix C. Tropf, Michael Lucht, Susan M. Ring, Elizabeth A. Streeten, Reinhold Schmidt, Augustine Kong, Johann Willeit, Patricia A. Peyser, Jessica D. Faul, Patrik K. E. Magnusson, Tõnu Esko, Antonietta Robino, Lavinia Paternoster, Peter J. van der Most, Kumar B. Rajan, George Davey-Smith, Dragana Vuckovic, Hans J. Grabe, Jari Lahti, Giorgia Girotto, Jorge E. Chavarro, Robert F. Krueger, Hongyan Huang, Georg Homuth, Paolo Gasparini, Sarah E. Medland, Gert G. Wagner, Peter Kraft, André G. Uitterlinden, Cornelius A. Rietveld, Howard Andrews, Cecilia M. Lindgren, Peter Vollenweider, Perry, John [0000-0001-6483-3771], Zhao, Jing Hua [0000-0003-4930-3582], Luben, Robert [0000-0002-5088-6343], Ong, Kenneth [0000-0003-4689-7530], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, BARBAN N, Rick Jansen, Ronald de Vlaming, Ahmad Vaez, Jornt J Mandemaker, Felix C Tropf, Xia Shen, James F Wilson, Daniel I Chasman, Ilja M Nolte, Vinicius Tragante, Sander W van der Laan, John R B Perry, Augustine Kong, BIOS Consortium, Tarunveer S Ahluwalia, Eva Albrecht, Laura Yerges-Armstrong, Gil Atzmon, Kirsi Auro, Kristin Ayer, Andrew Bakshi, Danny Ben-Avraham, Klaus Berger, Aviv Bergman, Lars Bertram, Lawrence F Bielak, Gyda Bjornsdottir, Marc Jan Bonder, Linda Broer, Minh Bui, Caterina Barbieri, Alana Cavadino, Jorge E Chavarro, Constance Turman, Maria Pina Conca, Heather J Cordell, Gail Davie, Peter Eibich, Nicholas Eriksson, Tõnu Esko, Joel Eriksson, Fahimeh Falahi, Janine F Felix, Mark Alan Fontana, Lude Franke, Ilaria Gandin, Audrey J Gaskin, Christian Gieger, Erica P Gunderson, Xiuqing Guo, Caroline Hayward, Chunyan He, Edith Hofer, Hongyan Huang, Peter K Joshi, Stavroula Kanoni, Robert Karlsson, Stefan Kiechl, Annette Kifley, Alexander Kluttig, Peter Kraft, Vasiliki Lagou, Cecile Lecoeur, Jari Lahti, Ruifang Li-Gao, Penelope A Lind, Tian Liu, Enes Makalic, Crysovalanto Mamasoula, Lindsay Matteson, Hamdi Mbarek, Patrick F McArdle, George McMahon, S Fleur W Medden, Evelin Mihailov, Mike Miller, Stacey A Missmer, Claire Monnereau, Peter J van der Most, Ronny Myhre, Mike A Nall, Teresa Nutile, Ioanna Panagiota Kalafati, Eleonora Porcu, Inga Prokopenko, Kumar B Rajan, Janet Rich-Edward, Cornelius A Rietveld, Antonietta Robino, Lynda M Rose, Rico Rueedi, Kathleen A Ryan, Yasaman Saba, Daniel Schmidt, Jennifer A Smith, Lisette Stolk, Elizabeth Streeten, Anke Tönje, Gudmar Thorleifsson, Sheila Ulivi, Juho Wedenoja, Juergen Wellmann, Peter Willeit, Jie Yao, Loic Yengo, Jing Hua Zhao, Wei Zhao, Daria V Zhernakova, Najaf Amin, Howard Andrew, Beverley Balkau, Nir Barzilai, Sven Bergmann, Ginevra Biino, Hans Bisgaard, Klaus Bønnelykke, Dorret I Boomsma, Julie E Buring, Harry Campbell, Stefania Cappellani, Marina Ciullo, Simon R Cox, Francesco Cucca, Daniela Toniolo, George Davey-Smith, Ian J Deary, George Dedoussi, Panos Delouka, Cornelia M van Duijn, Eco J C de Geu, Johan G Eriksson, Denis A Evan, Jessica D Faul, Cinzia Felicita Sala, Philippe Froguel, Paolo Gasparini, Giorgia Girotto, Hans-Jörgen Grabe, Karin Halina Greiser, Patrick J F Groenen, Hugoline G de Haan, Johannes Haerting, Tamara B Harri, Andrew C Heath, Kauko Heikkilä, Albert Hofman, Georg Homuth, Elizabeth G Holliday, John Hopper, Elina Hyppönen, Bo Jacobsson, Vincent W V Jaddoe, Magnus Johannesson, Astanand Jugessur, Mika Kähönen, Eero Kajantie, Sharon L R Kardia, Bernard Keavney, Ivana Kolcic, Päivikki Koponen, Peter Kovac, Florian Kronenberg, Zoltan Kutalik, Martina La Bianca, Genevieve Lachance, William G Iacono, Sandra Lai, Terho Lehtimäki, David C Liewald, LifeLines Cohort Study, Cecilia M Lindgren, Yongmei Liu, Robert Luben, Michael Lucht, Riitta Luoto, Per Magnu, Patrik K E Magnusson, Nicholas G Martin, Matt McGue, Ruth McQuillan, Sarah E Medland, Christa Meisinger, Dan Mellström, Andres Metspalu, Michela Traglia, Lili Milani, Paul Mitchell, Grant W Montgomery, Dennis Mook-Kanamori, Renée de Mutsert, Ellen A Nohr, Claes Ohlsson, Jørn Olsen, Ken K Ong, Lavinia Paternoster, Alison Pattie, Brenda W J H Penninx, Markus Perola, Patricia A Peyser, Mario Pirastu, Ozren Polasek, Chris Power, Jaakko Kaprio, Leslie J Raffel, Katri Räikkönen, Olli Raitakari, Paul M Ridker, Susan M Ring, Kathryn Roll, Igor Rudan, Daniela Ruggiero, Dan Rujescu, Veikko Salomaa, David Schlessinger, Helena Schmidt, Reinhold Schmidt, Nicole Schupf, Johannes Smit, Rossella Sorice, Tim D Spector, John M Starr, Doris Stöckl, Konstantin Strauch, Michael Stumvoll, Morris A Swertz, Unnur Thorsteinsdottir, A Roy Thurik, Nicholas J Timpson, Joyce Y Tung, André G Uitterlinden, Simona Vaccargiu, Jorma Viikari, Veronique Vitart, Henry Völzke, Peter Vollenweider, Dragana Vuckovic, Johannes Waage, Gert G Wagner, Jie Jin Wang, Nicholas J Wareham, David R Weir, Gonneke Willemsen, Johann Willeit, Alan F Wright, Krina T Zondervan, Kari Stefansson, Robert F Krueger, James J Lee, Daniel J Benjamin, David Cesarini, Philipp D Koellinger, Marcel den Hoed, Harold Snieder & Melinda C Mills, Barban, N, Jansen, R, de Vlaming, R, Vaez, A, Mandemakers, Jj, Tropf, Fc, Shen, X, Wilson, Jf, Chasman, Di, Nolte, Im, Tragante, V, van der Laan, Sw, Perry, Jr, Kong, A, Ahluwalia, T, Albrecht, E, Yerges Armstrong, L, Atzmon, G, Auro, K, Ayers, K, Bakshi, A, Ben Avraham, D, Berger, K, Bergman, A, Bertram, L, Bielak, Lf, Bjornsdottir, G, Bonder, Mj, Broer, L, Bui, M, Barbieri, CATERINA MARIA, Cavadino, A, Chavarro, Je, Turman, C, Concas, MARIA PINA, Cordell, Hj, Davies, G, Eibich, P, Eriksson, N, Esko, T, Eriksson, J, Falahi, F, Felix, Jf, Fontana, Ma, Franke, L, Gandin, Ilaria, Gaskins, Aj, Gieger, C, Gunderson, Ep, Guo, X, Hayward, C, He, C, Hofer, E, Huang, H, Joshi, Pk, Kanoni, S, Karlsson, R, Kiechl, S, Kifley, A, Kluttig, A, Kraft, P, Lagou, V, Lecoeur, C, Lahti, J, Li Gao, R, Lind, Pa, Liu, T, Makalic, E, Mamasoula, C, Matteson, L, Mbarek, H, Mcardle, Pf, Mcmahon, G, Meddens, Sf, Mihailov, E, Miller, M, Missmer, Sa, Monnereau, C, van der Most, Pj, Myhre, R, Nalls, Ma, Nutile, T, Kalafati, Ip, Porcu, E, Prokopenko, I, Rajan, Kb, Rich Edwards, J, Rietveld, Ca, Robino, Antonietta, Rose, Lm, Rueedi, R, Ryan, Ka, Saba, Y, Schmidt, D, Smith, Ja, Stolk, L, Streeten, E, Tönjes, A, Thorleifsson, G, Ulivi, Sheila, Wedenoja, J, Wellmann, J, Willeit, P, Yao, J, Yengo, L, Zhao, Jh, Zhao, W, Zhernakova, Dv, Amin, N, Andrews, H, Balkau, B, Barzilai, N, Bergmann, S, Biino, G, Bisgaard, H, Bønnelykke, K, Boomsma, Di, Buring, Je, Campbell, H, Cappellani, Stefania, Ciullo, M, Cox, Sr, Cucca, F, Toniolo, D, Davey Smith, G, Deary, Ij, Dedoussis, G, Deloukas, P, van Duijn, Cm, de Geus, Ej, Eriksson, Jg, Evans, Da, Faul, Jd, Sala, Cf, Froguel, P, Gasparini, Paolo, Girotto, Giorgia, Grabe, Hj, Greiser, Kh, Groenen, Pj, de Haan, Hg, Haerting, J, Harris, Tb, Heath, Ac, Heikkilä, K, Hofman, A, Homuth, G, Holliday, Eg, Hopper, J, Hyppönen, E, Jacobsson, B, Jaddoe, Vw, Johannesson, M, Jugessur, A, Kähönen, M, Kajantie, E, Kardia, Sl, Keavney, B, Kolcic, I, Koponen, P, Kovacs, P, Kronenberg, F, Kutalik, Z, LA BIANCA, Martina, Lachance, G, Iacono, Wg, Lai, S, Lehtimäki, T, Liewald, Dc, Lindgren, Cm, Liu, Y, Luben, R, Lucht, M, Luoto, R, Magnus, P, Magnusson, Pk, Martin, Ng, Mcgue, M, Mcquillan, R, Medland, Se, Meisinger, C, Mellström, D, Metspalu, A, Traglia, Michela, Milani, L, Mitchell, P, Montgomery, Gw, Mook Kanamori, D, de Mutsert, R, Nohr, Ea, Ohlsson, C, Olsen, J, Ong, Kk, Paternoster, L, Pattie, A, Penninx, Bw, Perola, M, Peyser, Pa, Pirastu, M, Polasek, O, Power, C, Kaprio, J, Raffel, Lj, Räikkönen, K, Raitakari, O, Ridker, Pm, Ring, Sm, Roll, K, Rudan, I, Ruggiero, D, Rujescu, D, Salomaa, V, Schlessinger, D, Schmidt, H, Schmidt, R, Schupf, N, Smit, J, Sorice, R, Spector, Td, Starr, Jm, Stöckl, D, Strauch, K, Stumvoll, M, Swertz, Ma, Thorsteinsdottir, U, Thurik, Ar, Timpson, Nj, Tung, Jy, Uitterlinden, Ag, Vaccargiu, S, Viikari, J, Vitart, V, Völzke, H, Vollenweider, P, Vuckovic, Dragana, Waage, J, Wagner, Gg, Wang, Jj, Wareham, Nj, Weir, Dr, Willemsen, G, Willeit, J, Wright, Af, Zondervan, Kt, Stefansson, K, Krueger, Rf, Lee, Jj, Benjamin, Dj, Cesarini, D, Koellinger, Pd, den Hoed, M, Snieder, H, Mills, Mc, Sociology/ICS, Life Course Epidemiology (LCE), Isotope Research, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Stem Cell Aging Leukemia and Lymphoma (SALL), Barban, Nicola, Jansen, Rick, De Vlaming, Ronald, Vaez, Ahmad, Hyppönen, Elina, Mills, Melinda C, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, EMGO - Mental health, Applied Economics, Public Health, Internal Medicine, Erasmus MC other, Epidemiology, Econometrics, Pediatrics, EMGO+ - Lifestyle, Overweight and Diabetes, Complex Trait Genetics, and Biological Psychology
Subjects: 0301 basic medicine, Netherlands Twin Register (NTR), PROTEIN, WASS, Genome-wide association study, Reproductive Behavior, MOUSE, Genome-wide association studies, GWAS, reproductive behavior, fertility, 0302 clinical medicine, G1 PHASE, Pregnancy, Genetics & Heredity, Genetics, HUMAN-DISEASES, Reproduction, Human Reproduction, 11 Medical And Health Sciences, ASSOCIATION, Genome-Wide, POLYCYSTIC-OVARY-SYNDROME, Sociologie van Consumptie en Huishoudens, Parity, Phenotype, Behavioural genetics, Medical genetics, Female, BIOS Consortium, FOS: Medical biotechnology, Life Sciences & Biomedicine, Maternal Age, Infertility, medicine.medical_specialty, GENE PRIORITIZATION, Quantitative Trait Loci, Sociology of Consumption and Households, Quantitative trait locus, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, AGE, QUALITY-CONTROL, medicine, Journal Article, Life Science, SNP, Humans, gene, reproductive, behaviour, Science & Technology, ta1184, 06 Biological Sciences, medicine.disease, Genetic architecture, human reproductive behavior, 030104 developmental biology, Fertility, Human genome, Birth Order, 030217 neurology & neurosurgery, LifeLines Cohort Study, Developmental Biology, genome-wide analysis, Genome-Wide Association Study
Abstract: Barban N, Jansen R, de Vlaming R, Vaez A, Mandemakers JJ, Tropf FC, Shen X, Wilson JF, Chasman DI, Nolte IM, Tragante V, van der Laan SW, Perry JR, Kong A; BIOS Consortium, Ahluwalia TS, Albrecht E, Yerges-Armstrong L, Atzmon G, Auro K, Ayers K, Bakshi A, Ben-Avraham D, Berger K, Bergman A, Bertram L, Bielak LF, Bjornsdottir G, Bonder MJ, Broer L, Bui M, Barbieri C, Cavadino A, Chavarro JE, Turman C, Concas MP, Cordell HJ, Davies G, Eibich P, Eriksson N, Esko T, Eriksson J, Falahi F, Felix JF, Fontana MA, Franke L, Gandin I, Gaskins AJ, Gieger C, Gunderson EP, Guo X, Hayward C, He C, Hofer E, Huang H, Joshi PK, Kanoni S, Karlsson R, Kiechl S, Kifley A, Kluttig A, Kraft P, Lagou V, Lecoeur C, Lahti J, Li-Gao R, Lind PA, Liu T, Makalic E, Mamasoula C, Matteson L, Mbarek H, McArdle PF, McMahon G, Meddens SF, Mihailov E, Miller M, Missmer SA, Monnereau C, van der Most PJ, Myhre R, Nalls MA, Nutile T, Kalafati IP, Porcu E, Prokopenko I, Rajan KB, Rich-Edwards J, Rietveld CA, Robino A, Rose LM, Rueedi R, Ryan KA, Saba Y, Schmidt D, Smith JA, Stolk L, Streeten E, Tönjes A, Thorleifsson G, Ulivi S, Wedenoja J, Wellmann J, Willeit P, Yao J, Yengo L, Zhao JH, Zhao W, Zhernakova DV, Amin N, Andrews H, Balkau B, Barzilai N, Bergmann S, Biino G, Bisgaard H, Bønnelykke K, Boomsma DI, Buring JE, Campbell H, Cappellani S, Ciullo M, Cox SR, Cucca F, Toniolo D, Davey-Smith G, Deary IJ, Dedoussis G, Deloukas P, van Duijn CM, de Geus EJ, Eriksson JG, Evans DA, Faul JD, Sala CF, Froguel P, Gasparini P, Girotto G, Grabe HJ, Greiser KH, Groenen PJ, de Haan HG, Haerting J, Harris TB, Heath AC, Heikkilä K, Hofman A, Homuth G, Holliday EG, Hopper J, Hyppönen E, Jacobsson B, Jaddoe VW, Johannesson M, Jugessur A, Kähönen M, Kajantie E, Kardia SL, Keavney B, Kolcic I, Koponen P, Kovacs P, Kronenberg F, Kutalik Z, La Bianca M, Lachance G, Iacono WG, Lai S, Lehtimäki T, Liewald DC; LifeLines Cohort Study, Lindgren CM, Liu Y, Luben R, Lucht M, Luoto R, Magnus P, Magnusson PK, Martin NG, McGue M, McQuillan R, Medland SE, Meisinger C, Mellström D, Metspalu A, Traglia M, Milani L, Mitchell P, Montgomery GW, Mook-Kanamori D, de Mutsert R, Nohr EA, Ohlsson C, Olsen J, Ong KK, Paternoster L, Pattie A, Penninx BW, Perola M, Peyser PA, Pirastu M, Polasek O, Power C, Kaprio J, Raffel LJ, Räikkönen K, Raitakari O, Ridker PM, Ring SM, Roll K, Rudan I, Ruggiero D, Rujescu D, Salomaa V, Schlessinger D, Schmidt H, Schmidt R, Schupf N, Smit J, Sorice R, Spector TD, Starr JM, Stöckl D, Strauch K, Stumvoll M, Swertz MA, Thorsteinsdottir U, Thurik AR, Timpson NJ, Tung JY, Uitterlinden AG, Vaccargiu S, Viikari J, Vitart V, Völzke H, Vollenweider P, Vuckovic D, Waage J, Wagner GG, Wang JJ, Wareham NJ, Weir DR, Willemsen G, Willeit J, Wright AF, Zondervan KT, Stefansson K, Krueger RF, Lee JJ, Benjamin DJ, Cesarini D, Koellinger PD, den Hoed M, Snieder H, Mills MC.
Published: 2016

26. A blended genome and exome sequencing method captures genetic variation in an unbiased, high-quality, and cost-effective manner.

Author: Boltz TA, Chu BB, Liao C, Sealock JM, Ye R, Majara L, Fu JM, Service S, Zhan L, Medland SE, Chapman SB, Rubinacci S, DeFelice M, Grimsby JL, Abebe T, Alemayehu M, Ashaba FK, Atkinson EG, Bigdeli T, Bradway AB, Brand H, Chibnik LB, Fekadu A, Gatzen M, Gelaye B, Gichuru S, Gildea ML, Hill TC, Huang H, Hubbard KM, Injera WE, James R, Joloba M, Kachulis C, Kalmbach PR, Kamulegeya R, Kigen G, Kim S, Koen N, Kwobah EK, Kyebuzibwa J, Lee S, Lennon NJ, Lind PA, Lopera-Maya EA, Makale J, Mangul S, McMahon J, Mowlem P, Musinguzi H, Mwema RM, Nakasujja N, Newman CP, Nkambule LL, O'Neil CR, Olivares AM, Olsen CM, Ongeri L, Parsa SJ, Pretorius A, Ramesar R, Reagan FL, Sabatti C, Schneider JA, Shiferaw W, Stevenson A, Stricker E, Stroud RE 2nd, Tang J, Whiteman D, Yohannes MT, Yu M, Yuan K, Akena D, Atwoli L, Kariuki SM, Koenen KC, Newton CRJC, Stein DJ, Teferra S, Zingela Z, Pato CN, Pato MT, Lopez-Jaramillo C, Freimer N, Ophoff RA, Olde Loohuis LM, Talkowski ME, Neale BM, Howrigan DP, and Martin AR
Abstract: We deployed the Blended Genome Exome (BGE), a DNA library blending approach that generates low pass whole genome (1-4× mean depth) and deep whole exome (30-40× mean depth) data in a single sequencing run. This technology is cost-effective, empowers most genomic discoveries possible with deep whole genome sequencing, and provides an unbiased method to capture the diversity of common SNP variation across the globe. To evaluate this new technology at scale, we applied BGE to sequence >53,000 samples from the Populations Underrepresented in Mental Illness Associations Studies (PUMAS) Project, which included participants across African, African American, and Latin American populations. We evaluated the accuracy of BGE imputed genotypes against raw genotype calls from the Illumina Global Screening Array. All PUMAS cohorts had R 2 concordance ≥95% among SNPs with MAF≥1%, and never fell below ≥90% R 2 for SNPs with MAF<1%. Furthermore, concordance rates among local ancestries within two recently admixed cohorts were consistent among SNPs with MAF≥1%, with only minor deviations in SNPs with MAF<1%. We also benchmarked the discovery capacity of BGE to access protein-coding copy number variants (CNVs) against deep whole genome data, finding that deletions and duplications spanning at least 3 exons had a positive predicted value of ~90%. Our results demonstrate BGE scalability and efficacy in capturing SNPs, indels, and CNVs in the human genome at 28% of the cost of deep whole-genome sequencing. BGE is poised to enhance access to genomic testing and empower genomic discoveries, particularly in underrepresented populations.
Published: 2024
Full Text: View/download PDF

27. Publisher Correction: Understanding the genetic complexity of puberty timing across the allele frequency spectrum.

Author: Kentistou KA, Kaisinger LR, Stankovic S, Vaudel M, Mendes de Oliveira E, Messina A, Walters RG, Liu X, Busch AS, Helgason H, Thompson DJ, Santoni F, Petricek KM, Zouaghi Y, Huang-Doran I, Gudbjartsson DF, Bratland E, Lin K, Gardner EJ, Zhao Y, Jia RY, Terao C, Riggan MJ, Bolla MK, Yazdanpanah M, Yazdanpanah N, Bradfield JP, Broer L, Campbell A, Chasman DI, Cousminer DL, Franceschini N, Franke LH, Girotto G, He C, Järvelin MR, Joshi PK, Kamatani Y, Karlsson R, Luan J, Lunetta KL, Mägi R, Mangino M, Medland SE, Meisinger C, Noordam R, Nutile T, Concas MP, Polašek O, Porcu E, Ring SM, Sala C, Smith AV, Tanaka T, van der Most PJ, Vitart V, Wang CA, Willemsen G, Zygmunt M, Ahearn TU, Andrulis IL, Anton-Culver H, Antoniou AC, Auer PL, Barnes CLK, Beckmann MW, Berrington de Gonzalez A, Bogdanova NV, Bojesen SE, Brenner H, Buring JE, Canzian F, Chang-Claude J, Couch FJ, Cox A, Crisponi L, Czene K, Daly MB, Demerath EW, Dennis J, Devilee P, De Vivo I, Dörk T, Dunning AM, Dwek M, Eriksson JG, Fasching PA, Fernandez-Rhodes L, Ferreli L, Fletcher O, Gago-Dominguez M, García-Closas M, García-Sáenz JA, González-Neira A, Grallert H, Guénel P, Haiman CA, Hall P, Hamann U, Hakonarson H, Hart RJ, Hickey M, Hooning MJ, Hoppe R, Hopper JL, Hottenga JJ, Hu FB, Huebner H, Hunter DJ, Jernström H, John EM, Karasik D, Khusnutdinova EK, Kristensen VN, Lacey JV, Lambrechts D, Launer LJ, Lind PA, Lindblom A, Magnusson PKE, Mannermaa A, McCarthy MI, Meitinger T, Menni C, Michailidou K, Millwood IY, Milne RL, Montgomery GW, Nevanlinna H, Nolte IM, Nyholt DR, Obi N, O'Brien KM, Offit K, Oldehinkel AJ, Ostrowski SR, Palotie A, Pedersen OB, Peters A, Pianigiani G, Plaseska-Karanfilska D, Pouta A, Pozarickij A, Radice P, Rennert G, Rosendaal FR, Ruggiero D, Saloustros E, Sandler DP, Schipf S, Schmidt CO, Schmidt MK, Small K, Spedicati B, Stampfer M, Stone J, Tamimi RM, Teras LR, Tikkanen E, Turman C, Vachon CM, Wang Q, Winqvist R, Wolk A, Zemel BS, Zheng W, van Dijk KW, Alizadeh BZ, Bandinelli S, Boerwinkle E, Boomsma DI, Ciullo M, Chenevix-Trench G, Cucca F, Esko T, Gieger C, Grant SFA, Gudnason V, Hayward C, Kolčić I, Kraft P, Lawlor DA, Martin NG, Nøhr EA, Pedersen NL, Pennell CE, Ridker PM, Robino A, Snieder H, Sovio U, Spector TD, Stöckl D, Sudlow C, Timpson NJ, Toniolo D, Uitterlinden A, Ulivi S, Völzke H, Wareham NJ, Widen E, Wilson JF, Pharoah PDP, Li L, Easton DF, Njølstad PR, Sulem P, Murabito JM, Murray A, Manousaki D, Juul A, Erikstrup C, Stefansson K, Horikoshi M, Chen Z, Farooqi IS, Pitteloud N, Johansson S, Day FR, Perry JRB, and Ong KK
Published: 2024
Full Text: View/download PDF

28. Understanding the genetic complexity of puberty timing across the allele frequency spectrum.

Author: Kentistou KA, Kaisinger LR, Stankovic S, Vaudel M, Mendes de Oliveira E, Messina A, Walters RG, Liu X, Busch AS, Helgason H, Thompson DJ, Santoni F, Petricek KM, Zouaghi Y, Huang-Doran I, Gudbjartsson DF, Bratland E, Lin K, Gardner EJ, Zhao Y, Jia RY, Terao C, Riggan MJ, Bolla MK, Yazdanpanah M, Yazdanpanah N, Bradfield JP, Broer L, Campbell A, Chasman DI, Cousminer DL, Franceschini N, Franke LH, Girotto G, He C, Järvelin MR, Joshi PK, Kamatani Y, Karlsson R, Luan J, Lunetta KL, Mägi R, Mangino M, Medland SE, Meisinger C, Noordam R, Nutile T, Concas MP, Polašek O, Porcu E, Ring SM, Sala C, Smith AV, Tanaka T, van der Most PJ, Vitart V, Wang CA, Willemsen G, Zygmunt M, Ahearn TU, Andrulis IL, Anton-Culver H, Antoniou AC, Auer PL, Barnes CLK, Beckmann MW, Berrington de Gonzalez A, Bogdanova NV, Bojesen SE, Brenner H, Buring JE, Canzian F, Chang-Claude J, Couch FJ, Cox A, Crisponi L, Czene K, Daly MB, Demerath EW, Dennis J, Devilee P, De Vivo I, Dörk T, Dunning AM, Dwek M, Eriksson JG, Fasching PA, Fernandez-Rhodes L, Ferreli L, Fletcher O, Gago-Dominguez M, García-Closas M, García-Sáenz JA, González-Neira A, Grallert H, Guénel P, Haiman CA, Hall P, Hamann U, Hakonarson H, Hart RJ, Hickey M, Hooning MJ, Hoppe R, Hopper JL, Hottenga JJ, Hu FB, Huebner H, Hunter DJ, Jernström H, John EM, Karasik D, Khusnutdinova EK, Kristensen VN, Lacey JV, Lambrechts D, Launer LJ, Lind PA, Lindblom A, Magnusson PKE, Mannermaa A, McCarthy MI, Meitinger T, Menni C, Michailidou K, Millwood IY, Milne RL, Montgomery GW, Nevanlinna H, Nolte IM, Nyholt DR, Obi N, O'Brien KM, Offit K, Oldehinkel AJ, Ostrowski SR, Palotie A, Pedersen OB, Peters A, Pianigiani G, Plaseska-Karanfilska D, Pouta A, Pozarickij A, Radice P, Rennert G, Rosendaal FR, Ruggiero D, Saloustros E, Sandler DP, Schipf S, Schmidt CO, Schmidt MK, Small K, Spedicati B, Stampfer M, Stone J, Tamimi RM, Teras LR, Tikkanen E, Turman C, Vachon CM, Wang Q, Winqvist R, Wolk A, Zemel BS, Zheng W, van Dijk KW, Alizadeh BZ, Bandinelli S, Boerwinkle E, Boomsma DI, Ciullo M, Chenevix-Trench G, Cucca F, Esko T, Gieger C, Grant SFA, Gudnason V, Hayward C, Kolčić I, Kraft P, Lawlor DA, Martin NG, Nøhr EA, Pedersen NL, Pennell CE, Ridker PM, Robino A, Snieder H, Sovio U, Spector TD, Stöckl D, Sudlow C, Timpson NJ, Toniolo D, Uitterlinden A, Ulivi S, Völzke H, Wareham NJ, Widen E, Wilson JF, Pharoah PDP, Li L, Easton DF, Njølstad PR, Sulem P, Murabito JM, Murray A, Manousaki D, Juul A, Erikstrup C, Stefansson K, Horikoshi M, Chen Z, Farooqi IS, Pitteloud N, Johansson S, Day FR, Perry JRB, and Ong KK
Subjects: Humans, Female, Animals, Multifactorial Inheritance genetics, Mice, Genome-Wide Association Study, Adolescent, Puberty, Precocious genetics, Polymorphism, Single Nucleotide, Receptors, G-Protein-Coupled genetics, Puberty, Delayed genetics, Child, Menarche genetics, Puberty genetics, Gene Frequency
Abstract: Pubertal timing varies considerably and is associated with later health outcomes. We performed multi-ancestry genetic analyses on ~800,000 women, identifying 1,080 signals for age at menarche. Collectively, these explained 11% of trait variance in an independent sample. Women at the top and bottom 1% of polygenic risk exhibited ~11 and ~14-fold higher risks of delayed and precocious puberty, respectively. We identified several genes harboring rare loss-of-function variants in ~200,000 women, including variants in ZNF483, which abolished the impact of polygenic risk. Variant-to-gene mapping approaches and mouse gonadotropin-releasing hormone neuron RNA sequencing implicated 665 genes, including an uncharacterized G-protein-coupled receptor, GPR83, which amplified the signaling of MC3R, a key nutritional sensor. Shared signals with menopause timing at genes involved in DNA damage response suggest that the ovarian reserve might signal centrally to trigger puberty. We also highlight body size-dependent and independent mechanisms that potentially link reproductive timing to later life disease., (© 2024. The Author(s).)
Published: 2024
Full Text: View/download PDF

29. Clozapine Efficacy and Adverse Drug Reactions Among a Nationwide Study of 1021 Australians Prescribed Clozapine: The ClozaGene Study.

Author: Lind PA, Parker RK, Northwood K, Siskind DJ, and Medland SE
Abstract: Background and Hypothesis: The ClozaGene Study is a nationwide cohort of adults who have been treated with clozapine. While clozapine is indicated in the management of treatment-resistant schizophrenia, it is associated with a considerable adverse drug reaction (ADR) burden, and not all patients achieve adequate symptomatic response. The current study focuses on self-reported experiences of clozapine use and response, clozapine-associated ADRs, and mental health comorbidity., Study Design: A total of 1021 participants (41.0% female; aged 46.2 ± 10.6 years [range 18-66]) were recruited via a mail-out based on prescriptions for clozapine. Participants completed a self-report questionnaire., Study Results: Most participants (90.1%, n = 912) were living with schizophrenia while 41.5% reported a lifetime diagnosis of depression, 15.6% bipolar disorder, and 8.1% schizoaffective disorder. Clozapine was currently prescribed to 944 (92.5%) participants and 37.8% of these participants self-reported currently taking additional antipsychotic medication. Nearly 3 quarters of participants living with schizophrenia reported that clozapine helped control their schizophrenia symptoms moderately to very well. The most commonly reported ADRs were sialorrhea (80.3%), weight gain (71.0%), constipation (56.9%), and sedation (52.8%). The prevalence of clozapine cessation due to clozapine-induced myocarditis and neutropenia was 1% and 0.4%, respectively., Conclusions: Our findings highlight the high rate of psychotic and metabolic symptoms and ADRs among adults prescribed clozapine in the general Australian population. Future genomic analyses will focus on identifying genetic variants influencing clozapine treatment response and side effects., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center.)
Published: 2024
Full Text: View/download PDF

30. Dosimetric Comparison of Conventional Radiotherapy, Volumetric Modulated Arc Therapy, and Proton Beam Therapy for Palliation of Thoracic Spine Metastases Secondary to Breast or Prostate Cancer.

Author: Lideståhl A, Fredén E, Siegbahn A, Johansson G, and Lind PA
Abstract: The aim of this planning study was to compare the dosimetric outcomes of Volumetric Modulated Arc Therapy (VMAT), Proton Beam Therapy (PBT), and conventional External Beam Radiation Therapy (cEBRT) in the treatment of thoracic spinal metastases originating from breast or prostate cancer. Our study utilized data from 30 different treatment plans and evaluated target coverage and doses to vital organs at risk (OARs), such as the spinal cord, heart, esophagus, and lungs. The results showed that VMAT and PBT achieved superior target coverage and significantly lower doses to the spinal cord compared to cEBRT (target: median PTV D95% : 75.2 for cEBRT vs. 92.9 and 91.7 for VMAT ( p < 0.001) and PBT ( p < 0.001), respectively; spinal cord: median D max% : 105.1 for cEBRT vs. 100.4 and 103.6 for VMAT ( p < 0.001) and PBT ( p = 0.002), respectively). Specifically, VMAT was notable for its superior target coverage and PBT for significantly lower doses to heart, lungs, and esophagus. However, VMAT resulted in higher lung doses, indicating potential trade-offs among different techniques. The study demonstrated the relative advantages of VMAT and PBT over traditional RT in the palliative treatment of spinal metastases using conventional fractionation. These findings underscore the potential of VMAT and PBT to improve dosimetric outcomes, suggesting that they may be more suitable for certain patient groups for whom the sparing of specific OARs is especially important.
Published: 2023
Full Text: View/download PDF

31. Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals.

Author: Zhou H, Kember RL, Deak JD, Xu H, Toikumo S, Yuan K, Lind PA, Farajzadeh L, Wang L, Hatoum AS, Johnson J, Lee H, Mallard TT, Xu J, Johnston KJA, Johnson EC, Nielsen TT, Galimberti M, Dao C, Levey DF, Overstreet C, Byrne EM, Gillespie NA, Gordon S, Hickie IB, Whitfield JB, Xu K, Zhao H, Huckins LM, Davis LK, Sanchez-Roige S, Madden PAF, Heath AC, Medland SE, Martin NG, Ge T, Smoller JW, Hougaard DM, Børglum AD, Demontis D, Krystal JH, Gaziano JM, Edenberg HJ, Agrawal A, Justice AC, Stein MB, Kranzler HR, and Gelernter J
Subjects: Humans, Genetic Predisposition to Disease, Genome-Wide Association Study, Phenotype, Polymorphism, Single Nucleotide, Racial Groups, Alcoholism genetics
Abstract: Problematic alcohol use (PAU), a trait that combines alcohol use disorder and alcohol-related problems assessed with a questionnaire, is a leading cause of death and morbidity worldwide. Here we conducted a large cross-ancestry meta-analysis of PAU in 1,079,947 individuals (European, N = 903,147; African, N = 122,571; Latin American, N = 38,962; East Asian, N = 13,551; and South Asian, N = 1,716 ancestries). We observed a high degree of cross-ancestral similarity in the genetic architecture of PAU and identified 110 independent risk variants in within- and cross-ancestry analyses. Cross-ancestry fine mapping improved the identification of likely causal variants. Prioritizing genes through gene expression and chromatin interaction in brain tissues identified multiple genes associated with PAU. We identified existing medications for potential pharmacological studies by a computational drug repurposing analysis. Cross-ancestry polygenic risk scores showed better performance of association in independent samples than single-ancestry polygenic risk scores. Genetic correlations between PAU and other traits were observed in multiple ancestries, with other substance use traits having the highest correlations. This study advances our knowledge of the genetic etiology of PAU, and these findings may bring possible clinical applicability of genetics insights-together with neuroscience, biology and data science-closer., (© 2023. The Author(s).)
Published: 2023
Full Text: View/download PDF

32. Discontinuation of antidepressant treatment: a retrospective cohort study on more than 20,000 participants.

Author: Garcia-Marin LM, Mulcahy A, Byrne EM, Medland SE, Wray NR, Chafota F, Lind PA, Martin NG, Hickie IB, Rentería ME, and Campos AI
Abstract: Background: Factors influencing antidepressant treatment discontinuation are poorly understood. In the present study, we aimed to estimate the prevalence of antidepressant treatment discontinuation and identify demographic characteristics, psychiatric comorbidities, and specific side effects associated with treatment discontinuation., Methods: We leveraged data from the Australian Genetics of Depression Study (AGDS; N = 20,941) to perform a retrospective cohort study on antidepressant treatment discontinuation. Participants were eligible if they were over 18 years of age, had taken antidepressants in the past 4 years, and provided informed consent., Results: Among the ten antidepressants studied, the highest discontinuation rates were observed for Mirtazapine (57.3%) and Amitriptyline (51.6%). Discontinuation rates were comparable across sexes except for Mirtazapine, for which women were more likely to discontinue. The two most common side effects, reduced sexual function and weight gain, were not associated with increased odds of treatment discontinuation. Anxiety, agitation, suicidal thoughts, vomiting, and rashes were associated with higher odds for treatment discontinuation, as were lifetime diagnoses of PTSD, ADHD, and a higher neuroticism score. Educational attainment showed a negative (protective) association with discontinuation across medications., Conclusions: Our study suggests that not all side effects contribute equally to discontinuation. Common side effects such as reduced sexual function and weight gain may not necessarily increase the risk of treatment discontinuation. Side effects linked to discontinuation can be divided into two groups, psychopathology related and allergy/intolerance., (© 2023. The Author(s).)
Published: 2023
Full Text: View/download PDF

33. Preliminary results from the Australian Genetics of Bipolar Disorder Study: A nation-wide cohort.

Author: Lind PA, Siskind DJ, Hickie IB, Colodro-Conde L, Cross S, Parker R, Martin NG, and Medland SE
Subjects: Adult, Aged, Female, Humans, Young Adult, Male, Australia epidemiology, National Health Programs, Lithium Carbonate, Bipolar Disorder drug therapy, Bipolar Disorder epidemiology, Bipolar Disorder genetics, Drug-Related Side Effects and Adverse Reactions
Abstract: Objective: The Australian Genetics of Bipolar Disorder Study is a nation-wide cohort of adults living with bipolar disorder. The study aims to detect the relationships between genetic risk, symptom severity, and the lifetime prevalence of bipolar disorder, treatment response and medication side effects, and patterns and costs of health care usage., Methods: A total of 6682 participants (68.3% female; aged 44.8 ± 13.6 years [range = 18-90]) were recruited in three waves: a nation-wide media campaign, a mail-out based on prescriptions for lithium carbonate and through the Australian Genetics of Depression Study. Participants completed a self-report questionnaire. A total of 4706 (70%) participants provided a saliva sample and were genotyped and 5506 (82%) consented to record linkage of their Pharmaceutical and Medicare Benefits Schedule data., Results: Most participants were living with bipolar I disorder ( n = 4068) while 1622 participants were living with bipolar II disorder and 992 with sub-threshold bipolar disorder. The mean age of bipolar disorder diagnosis was 32.7 ± 11.6 years but was younger in bipolar I ( p = 2.0E-26) and females ( p = 5.7E-23). Excluding depression with onset prior to bipolar disorder diagnosis, 64.5% of participants reported one or more co-occurring psychiatric disorders: most commonly generalised anxiety disorder (43.5%) and posttraumatic stress disorder (20.7%). Adverse drug reactions were common and resulted in discontinuation rates ranging from 33.4% for lithium to 63.0% for carbamazepine., Conclusion: Our findings highlight the high rate of comorbidities and adverse drug reactions among adults living with bipolar disorder in the general Australian population. Future genomic analyses focus on identifying genetic variants influencing pharmacotherapy treatment response and side effects., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship and/or publication of this article: I.B.H. is the Co-Director of Health and Policy at the Brain and Mind Centre (BMC) University of Sydney. The BMC operates an early-intervention youth services at Camperdown under contract to Headspace. He is the Chief Scientific Advisor to, and a 3.2% equity shareholder in, InnoWell Pty Ltd. InnoWell was formed by the University of Sydney (45% equity) and PwC (Australia; 45% equity) to deliver the $30 M Australian Government-funded Project Synergy (2017–2020; a 3-year programme for the transformation of mental health services) and to lead transformation of mental health services internationally through the use of innovative technologies. The authors P.A.L., D.J.S., L.C.-C., S.C., R.P., N.G.M. and S.E.M. declare that there are no conflicts of interest.
Published: 2023
Full Text: View/download PDF

34. Educational attainment, health outcomes and mortality: a within-sibship Mendelian randomization study.

Author: Howe LJ, Rasheed H, Jones PR, Boomsma DI, Evans DM, Giannelis A, Hayward C, Hopper JL, Hughes A, Lahtinen H, Li S, Lind PA, Martin NG, Martikainen P, Medland SE, Morris TT, Nivard MG, Pingault JB, Silventoinen K, Smith JA, Willoughby EA, Wilson JF, Åsvold BO, Næss ØE, Davey Smith G, Kaprio J, Brumpton B, and Davies NM
Subjects: Humans, Genome-Wide Association Study, Educational Status, Polymorphism, Single Nucleotide, Outcome Assessment, Health Care, Mendelian Randomization Analysis methods, Academic Success
Abstract: Background: Previous Mendelian randomization (MR) studies using population samples (population MR) have provided evidence for beneficial effects of educational attainment on health outcomes in adulthood. However, estimates from these studies may have been susceptible to bias from population stratification, assortative mating and indirect genetic effects due to unadjusted parental genotypes. MR using genetic association estimates derived from within-sibship models (within-sibship MR) can avoid these potential biases because genetic differences between siblings are due to random segregation at meiosis., Methods: Applying both population and within-sibship MR, we estimated the effects of genetic liability to educational attainment on body mass index (BMI), cigarette smoking, systolic blood pressure (SBP) and all-cause mortality. MR analyses used individual-level data on 72 932 siblings from UK Biobank and the Norwegian HUNT study, and summary-level data from a within-sibship Genome-wide Association Study including >140 000 individuals., Results: Both population and within-sibship MR estimates provided evidence that educational attainment decreased BMI, cigarette smoking and SBP. Genetic variant-outcome associations attenuated in the within-sibship model, but genetic variant-educational attainment associations also attenuated to a similar extent. Thus, within-sibship and population MR estimates were largely consistent. The within-sibship MR estimate of education on mortality was imprecise but consistent with a putative effect., Conclusions: These results provide evidence of beneficial individual-level effects of education (or liability to education) on adulthood health, independently of potential demographic and family-level confounders., (© The Author(s) 2023. Published by Oxford University Press on behalf of the International Epidemiological Association.)
Published: 2023
Full Text: View/download PDF

35. Phenotypic and genetic factors associated with donation of DNA and consent to record linkage for prescription history in the Australian Genetics of Depression Study.

Author: Gomez L, Díaz-Torres S, Colodro-Conde L, Garcia-Marin LM, Yap CX, Byrne EM, Yengo L, Lind PA, Wray NR, Medland SE, Hickie IB, Lupton MK, Rentería ME, Martin NG, and Campos AI
Subjects: Humans, Male, Australia, Informed Consent, DNA, Depression epidemiology, Depression genetics, Anorexia
Abstract: Samples can be prone to ascertainment and attrition biases. The Australian Genetics of Depression Study is a large publicly recruited cohort (n = 20,689) established to increase the understanding of depression and antidepressant treatment response. This study investigates differences between participants who donated a saliva sample or agreed to linkage of their records compared to those who did not. We observed that older, male participants with higher education were more likely to donate a saliva sample. Self-reported bipolar disorder, ADHD, panic disorder, PTSD, substance use disorder, and social anxiety disorder were associated with lower odds of donating a saliva sample, whereas anorexia was associated with higher odds of donation. Male and younger participants showed higher odds of agreeing to record linkage. Participants with higher neuroticism scores and those with a history of bipolar disorder were also more likely to agree to record linkage whereas participants with a diagnosis of anorexia were less likely to agree. Increased likelihood of consent was associated with increased genetic susceptibility to anorexia and reduced genetic risk for depression, and schizophrenia. Overall, our results show moderate differences among these subsamples. Most current epidemiological studies do not search for attrition biases at the genetic level. The possibility to do so is a strength of samples such as the AGDS. Our results suggest that analyses can be made more robust by identifying attrition biases both on the phenotypic and genetic level, and either contextualising them as a potential limitation or performing sensitivity analyses adjusting for them., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.)
Published: 2023
Full Text: View/download PDF

36. Understanding the genetic complexity of puberty timing across the allele frequency spectrum.

Author: Kentistou KA, Kaisinger LR, Stankovic S, Vaudel M, de Oliveira EM, Messina A, Walters RG, Liu X, Busch AS, Helgason H, Thompson DJ, Santon F, Petricek KM, Zouaghi Y, Huang-Doran I, Gudbjartsson DF, Bratland E, Lin K, Gardner EJ, Zhao Y, Jia R, Terao C, Riggan M, Bolla MK, Yazdanpanah M, Yazdanpanah N, Bradfield JP, Broer L, Campbell A, Chasman DI, Cousminer DL, Franceschini N, Franke LH, Girotto G, He C, Järvelin MR, Joshi PK, Kamatani Y, Karlsson R, Luan J, Lunetta KL, Mägi R, Mangino M, Medland SE, Meisinger C, Noordam R, Nutile T, Concas MP, Polašek O, Porcu E, Ring SM, Sala C, Smith AV, Tanaka T, van der Most PJ, Vitart V, Wang CA, Willemsen G, Zygmunt M, Ahearn TU, Andrulis IL, Anton-Culver H, Antoniou AC, Auer PL, Barnes CL, Beckmann MW, Berrington A, Bogdanova NV, Bojesen SE, Brenner H, Buring JE, Canzian F, Chang-Claude J, Couch FJ, Cox A, Crisponi L, Czene K, Daly MB, Demerath EW, Dennis J, Devilee P, Vivo I, Dörk T, Dunning AM, Dwek M, Eriksson JG, Fasching PA, Fernandez-Rhodes L, Ferreli L, Fletcher O, Gago-Dominguez M, García-Closas M, García-Sáenz JA, González-Neira A, Grallert H, Guénel P, Haiman CA, Hall P, Hamann U, Hakonarson H, Hart RJ, Hickey M, Hooning MJ, Hoppe R, Hopper JL, Hottenga JJ, Hu FB, Hübner H, Hunter DJ, Jernström H, John EM, Karasik D, Khusnutdinova EK, Kristensen VN, Lacey JV, Lambrechts D, Launer LJ, Lind PA, Lindblom A, Magnusson PK, Mannermaa A, McCarthy MI, Meitinger T, Menni C, Michailidou K, Millwood IY, Milne RL, Montgomery GW, Nevanlinna H, Nolte IM, Nyholt DR, Obi N, O'Brien KM, Offit K, Oldehinkel AJ, Ostrowski SR, Palotie A, Pedersen OB, Peters A, Pianigiani G, Plaseska-Karanfilska D, Pouta A, Pozarickij A, Radice P, Rennert G, Rosendaal FR, Ruggiero D, Saloustros E, Sandler DP, Schipf S, Schmidt CO, Schmidt MK, Small K, Spedicati B, Stampfer M, Stone J, Tamimi RM, Teras LR, Tikkanen E, Turman C, Vachon CM, Wang Q, Winqvist R, Wolk A, Zemel BS, Zheng W, van Dijk KW, Alizadeh BZ, Bandinelli S, Boerwinkle E, Boomsma DI, Ciullo M, Chenevix-Trench G, Cucca F, Esko T, Gieger C, Grant SF, Gudnason V, Hayward C, Kolčić I, Kraft P, Lawlor DA, Martin NG, Nøhr EA, Pedersen NL, Pennell CE, Ridker PM, Robino A, Snieder H, Sovio U, Spector TD, Stöckl D, Sudlow C, Timpson NJ, Toniolo D, Uitterlinden A, Ulivi S, Völzke H, Wareham NJ, Widen E, Wilson JF, Pharoah PD, Li L, Easton DF, Njølstad P, Sulem P, Murabito JM, Murray A, Manousaki D, Juul A, Erikstrup C, Stefansson K, Horikoshi M, Chen Z, Farooqi IS, Pitteloud N, Johansson S, Day FR, Perry JR, and Ong KK
Abstract: Pubertal timing varies considerably and has been associated with a range of health outcomes in later life. To elucidate the underlying biological mechanisms, we performed multi-ancestry genetic analyses in ~800,000 women, identifying 1,080 independent signals associated with age at menarche. Collectively these loci explained 11% of the trait variance in an independent sample, with women at the top and bottom 1% of polygenic risk exhibiting a ~11 and ~14-fold higher risk of delayed and precocious pubertal development, respectively. These common variant analyses were supported by exome sequence analysis of ~220,000 women, identifying several genes, including rare loss of function variants in ZNF483 which abolished the impact of polygenic risk. Next, we implicated 660 genes in pubertal development using a combination of in silico variant-to-gene mapping approaches and integration with dynamic gene expression data from mouse embryonic GnRH neurons. This included an uncharacterized G-protein coupled receptor GPR83 , which we demonstrate amplifies signaling of MC3R , a key sensor of nutritional status. Finally, we identified several genes, including ovary-expressed genes involved in DNA damage response that co-localize with signals associated with menopause timing, leading us to hypothesize that the ovarian reserve might signal centrally to trigger puberty. Collectively these findings extend our understanding of the biological complexity of puberty timing and highlight body size dependent and independent mechanisms that potentially link reproductive timing to later life disease., Competing Interests: Competing interests J.R.B.P. and E.J.G. are employed by Adrestia Therapeutics. D.J.T. is employed by Genomics PLC. D.L.C. and J.P.B. are employed by GSK. E.T. is employed by Pfizer. D.A.L. has received support from Roche Disgnostics and Medtroic Ltd for work unrelated to the research in this paper. T.D.S. is co-founder and stakeholder of Zoe Global Ltd. P.A.F. conducts research funded by Amgen, Novartis and Pfizer, he received Honoraria from Roche, Novartis and Pfizer. M.W.B. conducts research funded by Amgen, Novartis and Pfizer.
Published: 2023
Full Text: View/download PDF

37. Bacteria evolve macroscopic multicellularity by the genetic assimilation of phenotypically plastic cell clustering.

Author: Chavhan Y, Dey S, and Lind PA
Subjects: Adaptation, Physiological, Phenotype, Bacteria, Biological Evolution, Eukaryota
Abstract: The evolutionary transition from unicellularity to multicellularity was a key innovation in the history of life. Experimental evolution is an important tool to study the formation of undifferentiated cellular clusters, the likely first step of this transition. Although multicellularity first evolved in bacteria, previous experimental evolution research has primarily used eukaryotes. Moreover, it focuses on mutationally driven (and not environmentally induced) phenotypes. Here we show that both Gram-negative and Gram-positive bacteria exhibit phenotypically plastic (i.e., environmentally induced) cell clustering. Under high salinity, they form elongated clusters of ~ 2 cm. However, under habitual salinity, the clusters disintegrate and grow planktonically. We used experimental evolution with Escherichia coli to show that such clustering can be assimilated genetically: the evolved bacteria inherently grow as macroscopic multicellular clusters, even without environmental induction. Highly parallel mutations in genes linked to cell wall assembly formed the genomic basis of assimilated multicellularity. While the wildtype also showed cell shape plasticity across high versus low salinity, it was either assimilated or reversed after evolution. Interestingly, a single mutation could genetically assimilate multicellularity by modulating plasticity at multiple levels of organization. Taken together, we show that phenotypic plasticity can prime bacteria for evolving undifferentiated macroscopic multicellularity., (© 2023. The Author(s).)
Published: 2023
Full Text: View/download PDF

38. Distribution of mutation rates challenges evolutionary predictability.

Author: Sun TA and Lind PA
Subjects: Mutation, Mutation Rate, Selection, Genetic
Abstract: Natural selection is commonly assumed to act on extensive standing genetic variation. Yet, accumulating evidence highlights the role of mutational processes creating this genetic variation: to become evolutionarily successful, adaptive mutants must not only reach fixation, but also emerge in the first place, i.e. have a high enough mutation rate. Here, we use numerical simulations to investigate how mutational biases impact our ability to observe rare mutational pathways in the laboratory and to predict outcomes in experimental evolution. We show that unevenness in the rates at which mutational pathways produce adaptive mutants means that most experimental studies lack power to directly observe the full range of adaptive mutations. Modelling mutation rates as a distribution, we show that a substantially larger target size ensures that a pathway mutates more commonly. Therefore, we predict that commonly mutated pathways are conserved between closely related species, but not rarely mutated pathways. This approach formalizes our proposal that most mutations have a lower mutation rate than the average mutation rate measured experimentally. We suggest that the extent of genetic variation is overestimated when based on the average mutation rate.
Published: 2023
Full Text: View/download PDF

39. Genome-wide analysis identifies genetic effects on reproductive success and ongoing natural selection at the FADS locus.

Author: Mathieson I, Day FR, Barban N, Tropf FC, Brazel DM, Vaez A, van Zuydam N, Bitarello BD, Gardner EJ, Akimova ET, Azad A, Bergmann S, Bielak LF, Boomsma DI, Bosak K, Brumat M, Buring JE, Cesarini D, Chasman DI, Chavarro JE, Cocca M, Concas MP, Davey Smith G, Davies G, Deary IJ, Esko T, Faul JD, Franco O, Ganna A, Gaskins AJ, Gelemanovic A, de Geus EJC, Gieger C, Girotto G, Gopinath B, Grabe HJ, Gunderson EP, Hayward C, He C, van Heemst D, Hill WD, Hoffmann ER, Homuth G, Hottenga JJ, Huang H, Hyppӧnen E, Ikram MA, Jansen R, Johannesson M, Kamali Z, Kardia SLR, Kavousi M, Kifley A, Kiiskinen T, Kraft P, Kühnel B, Langenberg C, Liew G, Lind PA, Luan J, Mägi R, Magnusson PKE, Mahajan A, Martin NG, Mbarek H, McCarthy MI, McMahon G, Medland SE, Meitinger T, Metspalu A, Mihailov E, Milani L, Missmer SA, Mitchell P, Møllegaard S, Mook-Kanamori DO, Morgan A, van der Most PJ, de Mutsert R, Nauck M, Nolte IM, Noordam R, Penninx BWJH, Peters A, Peyser PA, Polašek O, Power C, Pribisalic A, Redmond P, Rich-Edwards JW, Ridker PM, Rietveld CA, Ring SM, Rose LM, Rueedi R, Shukla V, Smith JA, Stankovic S, Stefánsson K, Stöckl D, Strauch K, Swertz MA, Teumer A, Thorleifsson G, Thorsteinsdottir U, Thurik AR, Timpson NJ, Turman C, Uitterlinden AG, Waldenberger M, Wareham NJ, Weir DR, Willemsen G, Zhao JH, Zhao W, Zhao Y, Snieder H, den Hoed M, Ong KK, Mills MC, and Perry JRB
Subjects: Child, Female, Humans, Aging physiology, Menopause genetics, Selection, Genetic, Fertility genetics, Reproduction genetics
Abstract: Identifying genetic determinants of reproductive success may highlight mechanisms underlying fertility and identify alleles under present-day selection. Using data in 785,604 individuals of European ancestry, we identified 43 genomic loci associated with either number of children ever born (NEB) or childlessness. These loci span diverse aspects of reproductive biology, including puberty timing, age at first birth, sex hormone regulation, endometriosis and age at menopause. Missense variants in ARHGAP27 were associated with higher NEB but shorter reproductive lifespan, suggesting a trade-off at this locus between reproductive ageing and intensity. Other genes implicated by coding variants include PIK3IP1, ZFP82 and LRP4, and our results suggest a new role for the melanocortin 1 receptor (MC1R) in reproductive biology. As NEB is one component of evolutionary fitness, our identified associations indicate loci under present-day natural selection. Integration with data from historical selection scans highlighted an allele in the FADS1/2 gene locus that has been under selection for thousands of years and remains so today. Collectively, our findings demonstrate that a broad range of biological mechanisms contribute to reproductive success., (© 2023. The Author(s), under exclusive licence to Springer Nature Limited.)
Published: 2023
Full Text: View/download PDF

40. censusADHD Study: An Australian-wide medication-based recruitment study for Attention-Deficit/Hyperactivity Disorder.

Author: Lind PA and Medland SE
Subjects: Male, Child, Humans, Aged, Australia epidemiology, National Health Programs, Surveys and Questionnaires, Students, Attention Deficit Disorder with Hyperactivity drug therapy, Attention Deficit Disorder with Hyperactivity epidemiology
Abstract: Objective: Attention-deficit/hyperactivity disorder affects over 5% of children and is characterised by a persistent pattern of problems with focussing or maintaining attention and/or hyperactivity-impulsivity. The censusADHD Study is a richly phenotyped nationwide cohort of Australian children with attention-deficit/hyperactivity disorder. The overarching aims of the study are to examine attention-deficit/hyperactivity disorder medication utilisation patterns and treatment response, the impact of children's attention and behavioural problems on caregivers, and costs related to attention-deficit/hyperactivity disorder., Methods: Families of potential attention-deficit/hyperactivity disorder cases aged between 6 and 11 years were identified using Pharmaceutical Benefits Scheme prescription records for attention-deficit/hyperactivity disorder medications held by Services Australia and sent a study information letter. Data were collected from 1574 primary caregivers via online survey in 2015, including the behavioural profile of the child, the child's medication use and experiences with side effects and the impact of the child's behaviour on the caregiver. Approximately 81% of caregivers also consented to record linkage of the child's Pharmaceutical Benefits Scheme and Medicare Benefits Schedule claims to directly assess prescription dispensing history and health service usage to estimate costs to the family and Medicare health system., Results: Boys were diagnosed with attention-deficit/hyperactivity disorder earlier ( p = 0.021), more likely to present as the combined and predominantly hyperactive subtypes ( p = 0.001) and at higher risk of experiencing a school suspension ( p < 0.001) or expulsion ( p = 0.043). Overall, children presenting as the combined subtype had higher rates of psychiatric comorbidities ( p < 0.001). Finally, prescription costs for each family and the Pharmaceutical Benefits Scheme significantly increased in the year following attention-deficit/hyperactivity disorder diagnosis ( p < 0.001)., Conclusion: Research examining the psychosocial and financial impact of attention-deficit/hyperactivity disorder on Australian children and their families is needed. Our findings demonstrate the importance of examining both gender and attention-deficit/hyperactivity disorder subtype presentation in future studies.
Published: 2023
Full Text: View/download PDF

41. Multi-ancestry study of the genetics of problematic alcohol use in >1 million individuals.

Author: Zhou H, Kember RL, Deak JD, Xu H, Toikumo S, Yuan K, Lind PA, Farajzadeh L, Wang L, Hatoum AS, Johnson J, Lee H, Mallard TT, Xu J, Johnston KJA, Johnson EC, Galimberti M, Dao C, Levey DF, Overstreet C, Byrne EM, Gillespie NA, Gordon S, Hickie IB, Whitfield JB, Xu K, Zhao H, Huckins LM, Davis LK, Sanchez-Roige S, Madden PAF, Heath AC, Medland SE, Martin NG, Ge T, Smoller JW, Hougaard DM, Børglum AD, Demontis D, Krystal JH, Gaziano JM, Edenberg HJ, Agrawal A, Justice AC, Stein MB, Kranzler HR, and Gelernter J
Abstract: Problematic alcohol use (PAU) is a leading cause of death and disability worldwide. To improve our understanding of the genetics of PAU, we conducted a large cross-ancestry meta-analysis of PAU in 1,079,947 individuals. We observed a high degree of cross-ancestral similarity in the genetic architecture of PAU and identified 110 independent risk variants in within- and cross-ancestry analyses. Cross-ancestry fine-mapping improved the identification of likely causal variants. Prioritizing genes through gene expression and/or chromatin interaction in brain tissues identified multiple genes associated with PAU. We identified existing medications for potential pharmacological studies by drug repurposing analysis. Cross-ancestry polygenic risk scores (PRS) showed better performance in independent sample than single-ancestry PRS. Genetic correlations between PAU and other traits were observed in multiple ancestries, with other substance use traits having the highest correlations. The analysis of diverse ancestries contributed significantly to the findings, and fills an important gap in the literature., Competing Interests: Disclosure: H.R.K. is a member of advisory boards for Dicerna Pharmaceuticals, Sophrosyne Pharmaceuticals, and Enthion Pharmaceuticals; a consultant to Sobrera Pharmaceuticals; the recipient of research funding and medication supplies for an investigator-initiated study from Alkermes; and a member of the American Society of Clinical Psychopharmacology’s Alcohol Clinical Trials Initiative, which was supported in the past 3 years by Alkermes, Dicerna, Ethypharm, Lundbeck, Mitsubishi, Otsuka, and Pear Therapeutics. M.B.S. has in the past 3 years been a consultant for Actelion, Acadia Pharmaceuticals, Aptinyx, Bionomics, BioXcel Therapeutics, Clexio, EmpowerPharm, Epivario, GW Pharmaceuticals, Janssen, Jazz Pharmaceuticals, Roche/Genentech and Oxeia Biopharmaceuticals. M.B.S. has stock options in Oxeia Biopharmaceuticals and Epivario. He also receives payment from the following entities for editorial work: Biological Psychiatry (published by Elsevier), Depression and Anxiety (published by Wiley) and UpToDate. J.G. and H.R.K. hold US patent 10,900,082 titled: “Genotype-guided dosing of opioid agonists,” issued January 26, 2021. J.G. is paid for his editorial work on the journal Complex Psychiatry. J.H.K. has consulting agreements (less than US$10,000 per year) with the following: AstraZeneca Pharmaceuticals, Biogen, Idec, MA, Biomedisyn Corporation, Bionomics, Limited (Australia), Boehringer Ingelheim International, COMPASS Pathways, Limited, United Kingdom, Concert Pharmaceuticals, Inc., Epiodyne, Inc., EpiVario, Inc., Heptares Therapeutics, Limited (UK), Janssen Research & Development, Otsuka America, Pharmaceutical, Inc., Perception Neuroscience Holdings, Inc., Spring Care, Inc., Sunovion Pharmaceuticals, Inc., Takeda Industries and Taisho Pharmaceutical Co., Ltd. J.H.K. serves on the scientific advisory boards of Bioasis Technologies, Inc., Biohaven Pharmaceuticals, BioXcel Therapeutics, Inc. (Clinical Advisory Board), BlackThorn Therapeutics, Inc., Cadent Therapeutics (Clinical Advisory Board), Cerevel Therapeutics, LLC., EpiVario, Inc., Lohocla Research Corporation, PsychoGenics, Inc.; is on the board of directors of Inheris Biopharma, Inc.; has stock options with Biohaven Pharmaceuticals Medical Sciences, BlackThorn Therapeutics, Inc., EpiVario, Inc. and Terran Life Sciences; and is editor of Biological Psychiatry with income greater than $10,000. I.B.H. is the Co-Director of Health and Policy at the Brain and Mind Centre (BMC) University of Sydney. The BMC operates an early-intervention youth services at Camperdown under contract to Headspace. He is the Chief Scientific Advisor to, and a 3.2% equity shareholder in, InnoWell Pty Ltd. InnoWell was formed by the University of Sydney (45% equity) and PwC (Australia; 45% equity) to deliver the $30 M Australian Government-funded Project Synergy (2017-20; a three-year program for the transformation of mental health services) and to lead transformation of mental health services internationally through the use of innovative technologies. J.W.S. is a member of the Leon Levy Foundation Neuroscience Advisory Board, the Scientific Advisory Board of Sensorium Therapeutics (with equity), and has received grant support from Biogen, Inc. He is PI of a collaborative study of the genetics of depression and bipolar disorder sponsored by 23andMe for which 23andMe provides analysis time as in-kind support but no payments. All other authors report no biomedical financial interests or potential conflicts of interest.
Published: 2023
Full Text: View/download PDF

42. Towards evolutionary predictions: Current promises and challenges.

Author: Wortel MT, Agashe D, Bailey SF, Bank C, Bisschop K, Blankers T, Cairns J, Colizzi ES, Cusseddu D, Desai MM, van Dijk B, Egas M, Ellers J, Groot AT, Heckel DG, Johnson ML, Kraaijeveld K, Krug J, Laan L, Lässig M, Lind PA, Meijer J, Noble LM, Okasha S, Rainey PB, Rozen DE, Shitut S, Tans SJ, Tenaillon O, Teotónio H, de Visser JAGM, Visser ME, Vroomans RMA, Werner GDA, Wertheim B, and Pennings PS
Abstract: Evolution has traditionally been a historical and descriptive science, and predicting future evolutionary processes has long been considered impossible. However, evolutionary predictions are increasingly being developed and used in medicine, agriculture, biotechnology and conservation biology. Evolutionary predictions may be used for different purposes, such as to prepare for the future, to try and change the course of evolution or to determine how well we understand evolutionary processes. Similarly, the exact aspect of the evolved population that we want to predict may also differ. For example, we could try to predict which genotype will dominate, the fitness of the population or the extinction probability of a population. In addition, there are many uses of evolutionary predictions that may not always be recognized as such. The main goal of this review is to increase awareness of methods and data in different research fields by showing the breadth of situations in which evolutionary predictions are made. We describe how diverse evolutionary predictions share a common structure described by the predictive scope, time scale and precision. Then, by using examples ranging from SARS-CoV2 and influenza to CRISPR-based gene drives and sustainable product formation in biotechnology, we discuss the methods for predicting evolution, the factors that affect predictability and how predictions can be used to prevent evolution in undesirable directions or to promote beneficial evolution (i.e. evolutionary control). We hope that this review will stimulate collaboration between fields by establishing a common language for evolutionary predictions., Competing Interests: The authors declare that there is no conflict of interest., (© 2022 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd.)
Published: 2022
Full Text: View/download PDF

43. Genetic diversity fuels gene discovery for tobacco and alcohol use.

Author: Saunders GRB, Wang X, Chen F, Jang SK, Liu M, Wang C, Gao S, Jiang Y, Khunsriraksakul C, Otto JM, Addison C, Akiyama M, Albert CM, Aliev F, Alonso A, Arnett DK, Ashley-Koch AE, Ashrani AA, Barnes KC, Barr RG, Bartz TM, Becker DM, Bielak LF, Benjamin EJ, Bis JC, Bjornsdottir G, Blangero J, Bleecker ER, Boardman JD, Boerwinkle E, Boomsma DI, Boorgula MP, Bowden DW, Brody JA, Cade BE, Chasman DI, Chavan S, Chen YI, Chen Z, Cheng I, Cho MH, Choquet H, Cole JW, Cornelis MC, Cucca F, Curran JE, de Andrade M, Dick DM, Docherty AR, Duggirala R, Eaton CB, Ehringer MA, Esko T, Faul JD, Fernandes Silva L, Fiorillo E, Fornage M, Freedman BI, Gabrielsen ME, Garrett ME, Gharib SA, Gieger C, Gillespie N, Glahn DC, Gordon SD, Gu CC, Gu D, Gudbjartsson DF, Guo X, Haessler J, Hall ME, Haller T, Harris KM, He J, Herd P, Hewitt JK, Hickie I, Hidalgo B, Hokanson JE, Hopfer C, Hottenga J, Hou L, Huang H, Hung YJ, Hunter DJ, Hveem K, Hwang SJ, Hwu CM, Iacono W, Irvin MR, Jee YH, Johnson EO, Joo YY, Jorgenson E, Justice AE, Kamatani Y, Kaplan RC, Kaprio J, Kardia SLR, Keller MC, Kelly TN, Kooperberg C, Korhonen T, Kraft P, Krauter K, Kuusisto J, Laakso M, Lasky-Su J, Lee WJ, Lee JJ, Levy D, Li L, Li K, Li Y, Lin K, Lind PA, Liu C, Lloyd-Jones DM, Lutz SM, Ma J, Mägi R, Manichaikul A, Martin NG, Mathur R, Matoba N, McArdle PF, McGue M, McQueen MB, Medland SE, Metspalu A, Meyers DA, Millwood IY, Mitchell BD, Mohlke KL, Moll M, Montasser ME, Morrison AC, Mulas A, Nielsen JB, North KE, Oelsner EC, Okada Y, Orrù V, Palmer ND, Palviainen T, Pandit A, Park SL, Peters U, Peters A, Peyser PA, Polderman TJC, Rafaels N, Redline S, Reed RM, Reiner AP, Rice JP, Rich SS, Richmond NE, Roan C, Rotter JI, Rueschman MN, Runarsdottir V, Saccone NL, Schwartz DA, Shadyab AH, Shi J, Shringarpure SS, Sicinski K, Skogholt AH, Smith JA, Smith NL, Sotoodehnia N, Stallings MC, Stefansson H, Stefansson K, Stitzel JA, Sun X, Syed M, Tal-Singer R, Taylor AE, Taylor KD, Telen MJ, Thai KK, Tiwari H, Turman C, Tyrfingsson T, Wall TL, Walters RG, Weir DR, Weiss ST, White WB, Whitfield JB, Wiggins KL, Willemsen G, Willer CJ, Winsvold BS, Xu H, Yanek LR, Yin J, Young KL, Young KA, Yu B, Zhao W, Zhou W, Zöllner S, Zuccolo L, Batini C, Bergen AW, Bierut LJ, David SP, Gagliano Taliun SA, Hancock DB, Jiang B, Munafò MR, Thorgeirsson TE, Liu DJ, and Vrieze S
Subjects: Humans, Genome-Wide Association Study methods, Risk Factors, Transcriptome, Sample Size, Genetic Loci genetics, Europe ethnology, Genetic Predisposition to Disease genetics, Genetic Variation genetics, Multifactorial Inheritance genetics, Tobacco Use genetics, Alcohol Drinking genetics, Internationality
Abstract: Tobacco and alcohol use are heritable behaviours associated with 15% and 5.3% of worldwide deaths, respectively, due largely to broad increased risk for disease and injury 1-4 . These substances are used across the globe, yet genome-wide association studies have focused largely on individuals of European ancestries 5 . Here we leveraged global genetic diversity across 3.4 million individuals from four major clines of global ancestry (approximately 21% non-European) to power the discovery and fine-mapping of genomic loci associated with tobacco and alcohol use, to inform function of these loci via ancestry-aware transcriptome-wide association studies, and to evaluate the genetic architecture and predictive power of polygenic risk within and across populations. We found that increases in sample size and genetic diversity improved locus identification and fine-mapping resolution, and that a large majority of the 3,823 associated variants (from 2,143 loci) showed consistent effect sizes across ancestry dimensions. However, polygenic risk scores developed in one ancestry performed poorly in others, highlighting the continued need to increase sample sizes of diverse ancestries to realize any potential benefit of polygenic prediction., (© 2022. The Author(s).)
Published: 2022
Full Text: View/download PDF

44. Author Correction: Genome-wide association and epidemiological analyses reveal common genetic origins between uterine leiomyomata and endometriosis.

Author: Gallagher CS, Mäkinen N, Harris HR, Rahmioglu N, Uimari O, Cook JP, Shigesi N, Ferreira T, Velez-Edwards DR, Edwards TL, Mortlock S, Ruhioglu Z, Day F, Becker CM, Karhunen V, Martikainen H, Järvelin MR, Cantor RM, Ridker PM, Terry KL, Buring JE, Gordon SD, Medland SE, Montgomery GW, Nyholt DR, Hinds DA, Tung JY, Perry JRB, Lind PA, Painter JN, Martin NG, Morris AP, Chasman DI, Missmer SA, Zondervan KT, and Morton CC
Published: 2022
Full Text: View/download PDF

45. Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention.

Author: Wang Z, Emmerich A, Pillon NJ, Moore T, Hemerich D, Cornelis MC, Mazzaferro E, Broos S, Ahluwalia TS, Bartz TM, Bentley AR, Bielak LF, Chong M, Chu AY, Berry D, Dorajoo R, Dueker ND, Kasbohm E, Feenstra B, Feitosa MF, Gieger C, Graff M, Hall LM, Haller T, Hartwig FP, Hillis DA, Huikari V, Heard-Costa N, Holzapfel C, Jackson AU, Johansson Å, Jørgensen AM, Kaakinen MA, Karlsson R, Kerr KF, Kim B, Koolhaas CM, Kutalik Z, Lagou V, Lind PA, Lorentzon M, Lyytikäinen LP, Mangino M, Metzendorf C, Monroe KR, Pacolet A, Pérusse L, Pool R, Richmond RC, Rivera NV, Robiou-du-Pont S, Schraut KE, Schulz CA, Stringham HM, Tanaka T, Teumer A, Turman C, van der Most PJ, Vanmunster M, van Rooij FJA, van Vliet-Ostaptchouk JV, Zhang X, Zhao JH, Zhao W, Balkhiyarova Z, Balslev-Harder MN, Baumeister SE, Beilby J, Blangero J, Boomsma DI, Brage S, Braund PS, Brody JA, Bruinenberg M, Ekelund U, Liu CT, Cole JW, Collins FS, Cupples LA, Esko T, Enroth S, Faul JD, Fernandez-Rhodes L, Fohner AE, Franco OH, Galesloot TE, Gordon SD, Grarup N, Hartman CA, Heiss G, Hui J, Illig T, Jago R, James A, Joshi PK, Jung T, Kähönen M, Kilpeläinen TO, Koh WP, Kolcic I, Kraft PP, Kuusisto J, Launer LJ, Li A, Linneberg A, Luan J, Vidal PM, Medland SE, Milaneschi Y, Moscati A, Musk B, Nelson CP, Nolte IM, Pedersen NL, Peters A, Peyser PA, Power C, Raitakari OT, Reedik M, Reiner AP, Ridker PM, Rudan I, Ryan K, Sarzynski MA, Scott LJ, Scott RA, Sidney S, Siggeirsdottir K, Smith AV, Smith JA, Sonestedt E, Strøm M, Tai ES, Teo KK, Thorand B, Tönjes A, Tremblay A, Uitterlinden AG, Vangipurapu J, van Schoor N, Völker U, Willemsen G, Williams K, Wong Q, Xu H, Young KL, Yuan JM, Zillikens MC, Zonderman AB, Ameur A, Bandinelli S, Bis JC, Boehnke M, Bouchard C, Chasman DI, Smith GD, de Geus EJC, Deldicque L, Dörr M, Evans MK, Ferrucci L, Fornage M, Fox C, Garland T Jr, Gudnason V, Gyllensten U, Hansen T, Hayward C, Horta BL, Hyppönen E, Jarvelin MR, Johnson WC, Kardia SLR, Kiemeney LA, Laakso M, Langenberg C, Lehtimäki T, Marchand LL, Magnusson PKE, Martin NG, Melbye M, Metspalu A, Meyre D, North KE, Ohlsson C, Oldehinkel AJ, Orho-Melander M, Pare G, Park T, Pedersen O, Penninx BWJH, Pers TH, Polasek O, Prokopenko I, Rotimi CN, Samani NJ, Sim X, Snieder H, Sørensen TIA, Spector TD, Timpson NJ, van Dam RM, van der Velde N, van Duijn CM, Vollenweider P, Völzke H, Voortman T, Waeber G, Wareham NJ, Weir DR, Wichmann HE, Wilson JF, Hevener AL, Krook A, Zierath JR, Thomis MAI, Loos RJF, and Hoed MD
Subjects: Actinin genetics, Cross-Sectional Studies, Exercise physiology, Humans, Leisure Activities, Genome-Wide Association Study, Sedentary Behavior
Abstract: Although physical activity and sedentary behavior are moderately heritable, little is known about the mechanisms that influence these traits. Combining data for up to 703,901 individuals from 51 studies in a multi-ancestry meta-analysis of genome-wide association studies yields 99 loci that associate with self-reported moderate-to-vigorous intensity physical activity during leisure time (MVPA), leisure screen time (LST) and/or sedentary behavior at work. Loci associated with LST are enriched for genes whose expression in skeletal muscle is altered by resistance training. A missense variant in ACTN3 makes the alpha-actinin-3 filaments more flexible, resulting in lower maximal force in isolated type II A muscle fibers, and possibly protection from exercise-induced muscle damage. Finally, Mendelian randomization analyses show that beneficial effects of lower LST and higher MVPA on several risk factors and diseases are mediated or confounded by body mass index (BMI). Our results provide insights into physical activity mechanisms and its role in disease prevention., (© 2022. The Author(s).)
Published: 2022
Full Text: View/download PDF

46. Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects.

Author: Howe LJ, Nivard MG, Morris TT, Hansen AF, Rasheed H, Cho Y, Chittoor G, Ahlskog R, Lind PA, Palviainen T, van der Zee MD, Cheesman R, Mangino M, Wang Y, Li S, Klaric L, Ratliff SM, Bielak LF, Nygaard M, Giannelis A, Willoughby EA, Reynolds CA, Balbona JV, Andreassen OA, Ask H, Baras A, Bauer CR, Boomsma DI, Campbell A, Campbell H, Chen Z, Christofidou P, Corfield E, Dahm CC, Dokuru DR, Evans LM, de Geus EJC, Giddaluru S, Gordon SD, Harden KP, Hill WD, Hughes A, Kerr SM, Kim Y, Kweon H, Latvala A, Lawlor DA, Li L, Lin K, Magnus P, Magnusson PKE, Mallard TT, Martikainen P, Mills MC, Njølstad PR, Overton JD, Pedersen NL, Porteous DJ, Reid J, Silventoinen K, Southey MC, Stoltenberg C, Tucker-Drob EM, Wright MJ, Hewitt JK, Keller MC, Stallings MC, Lee JJ, Christensen K, Kardia SLR, Peyser PA, Smith JA, Wilson JF, Hopper JL, Hägg S, Spector TD, Pingault JB, Plomin R, Havdahl A, Bartels M, Martin NG, Oskarsson S, Justice AE, Millwood IY, Hveem K, Naess Ø, Willer CJ, Åsvold BO, Koellinger PD, Kaprio J, Medland SE, Walters RG, Benjamin DJ, Turley P, Evans DM, Davey Smith G, Hayward C, Brumpton B, Hemani G, and Davies NM
Subjects: Humans, Mendelian Randomization Analysis, Multifactorial Inheritance genetics, Phenotype, Genome-Wide Association Study, Polymorphism, Single Nucleotide genetics
Abstract: Estimates from genome-wide association studies (GWAS) of unrelated individuals capture effects of inherited variation (direct effects), demography (population stratification, assortative mating) and relatives (indirect genetic effects). Family-based GWAS designs can control for demographic and indirect genetic effects, but large-scale family datasets have been lacking. We combined data from 178,086 siblings from 19 cohorts to generate population (between-family) and within-sibship (within-family) GWAS estimates for 25 phenotypes. Within-sibship GWAS estimates were smaller than population estimates for height, educational attainment, age at first birth, number of children, cognitive ability, depressive symptoms and smoking. Some differences were observed in downstream SNP heritability, genetic correlations and Mendelian randomization analyses. For example, the within-sibship genetic correlation between educational attainment and body mass index attenuated towards zero. In contrast, analyses of most molecular phenotypes (for example, low-density lipoprotein-cholesterol) were generally consistent. We also found within-sibship evidence of polygenic adaptation on taller height. Here, we illustrate the importance of family-based GWAS data for phenotypes influenced by demographic and indirect genetic effects., (© 2022. The Author(s).)
Published: 2022
Full Text: View/download PDF

47. Impact of CYP2C19 metaboliser status on SSRI response: a retrospective study of 9500 participants of the Australian Genetics of Depression Study.

Author: Campos AI, Byrne EM, Mitchell BL, Wray NR, Lind PA, Licinio J, Medland SE, Martin NG, Hickie IB, and Rentería ME
Subjects: Adult, Australia, Cytochrome P-450 CYP2C19 genetics, Humans, Retrospective Studies, Depression drug therapy, Depression genetics, Selective Serotonin Reuptake Inhibitors adverse effects
Abstract: Background: Variation within the CYP2C19 gene has been linked to differential metabolism of selective serotonin reuptake inhibitors (SSRIs). Pharmacogenetic recommendations based on the effect of CYP2C19 variants have been made available and are used increasingly by clinical practitioners. Nonetheless, the underlying assumption linking differential metabolism to efficacy or adverse side effects remains understudied. Here, we aim to fill this gap by studying CYP2C19 polymorphisms and inferred metabolism and patient-reported antidepressant response in a sample of 9531 Australian adults who have taken SSRIs., Methods: Metaboliser status was inferred for participants based on CYP2C19 alleles. Primary analysis consisted of assessing differences in treatment efficacy and tolerability between normal (reference) and: ultrarapid, rapid, intermediate and poor metabolisers., Results: Across medications, poor metabolisers reported a higher efficacy, whereas rapid metabolisers reported higher tolerability. When stratified by drug, associations between metaboliser status and efficacy did not survive multiple testing correction. Intermediate metabolisers were at greater odds of reporting any side effect for sertraline and higher number of side effects across medications and for sertraline., Conclusions: The effects between metaboliser status and treatment efficacy, tolerability and side effects were in the expected direction. Our power analysis suggests we would detect moderate to large effects, at least nominally. Reduced power may also be explained by heterogeneity in antidepressant dosages or concomitant medications, which we did not measure. The fact that we identify slower metabolisers to be at higher risk of side effects even without adjusting for clinical titration, and the nominally significant associations consistent with the expected metabolic effects provide new evidence for the link between CYP2C19 metabolism and SSRI response. Nonetheless, longitudinal and interventional designs such as randomized clinical trials that stratify by metaboliser status are necessary to establish the effects of CYP2C19 metabolism on SSRI treatment efficacy or adverse effects., (© 2022. The Author(s).)
Published: 2022
Full Text: View/download PDF

48. Australian Parkinson's Genetics Study (APGS): pilot (n=1532).

Author: Bivol S, Mellick GD, Gratten J, Parker R, Mulcahy A, Mosley PE, Poortvliet PC, Campos AI, Mitchell BL, Garcia-Marin LM, Cross S, Ferguson M, Lind PA, Loesch DZ, Visscher PM, Medland SE, Scherzer CR, Martin NG, and Rentería ME
Subjects: Anxiety, Australia epidemiology, Constipation etiology, Humans, Male, Surveys and Questionnaires, Parkinson Disease complications, Parkinson Disease epidemiology, Parkinson Disease genetics
Abstract: Purpose: Parkinson's disease (PD) is a neurodegenerative disorder associated with progressive disability. While the precise aetiology is unknown, there is evidence of significant genetic and environmental influences on individual risk. The Australian Parkinson's Genetics Study seeks to study genetic and patient-reported data from a large cohort of individuals with PD in Australia to understand the sociodemographic, genetic and environmental basis of PD susceptibility, symptoms and progression., Participants: In the pilot phase reported here, 1819 participants were recruited through assisted mailouts facilitated by Services Australia based on having three or more prescriptions for anti-PD medications in their Pharmaceutical Benefits Scheme records. The average age at the time of the questionnaire was 64±6 years. We collected patient-reported information and sociodemographic variables via an online (93% of the cohort) or paper-based (7%) questionnaire. One thousand five hundred and thirty-two participants (84.2%) met all inclusion criteria, and 1499 provided a DNA sample via traditional post., Findings to Date: 65% of participants were men, and 92% identified as being of European descent. A previous traumatic brain injury was reported by 16% of participants and was correlated with a younger age of symptom onset. At the time of the questionnaire, constipation (36% of participants), depression (34%), anxiety (17%), melanoma (16%) and diabetes (10%) were the most reported comorbid conditions., Future Plans: We plan to recruit sex-matched and age-matched unaffected controls, genotype all participants and collect non-motor symptoms and cognitive function data. Future work will explore the role of genetic and environmental factors in the aetiology of PD susceptibility, onset, symptoms, and progression, including as part of international PD research consortia., Competing Interests: Competing interests: CRS has collaborated with Pfizer, Opko, Proteome Sciences, Genzyme; has consulted for Genzyme; has served as Advisor to the Michael J. Fox Foundation, NIH, Department of Defense; is on the Scientific Advisory Board of the American Parkinson Disease Association; has received funding from the NIH, the U.S. Department of Defense, the Harvard NeuroDiscovery Center, the Michael J. Fox Foundation and American Parkinson Disease Association., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
Published: 2022
Full Text: View/download PDF

49. Ten years of enhancing neuro-imaging genetics through meta-analysis: An overview from the ENIGMA Genetics Working Group.

Author: Medland SE, Grasby KL, Jahanshad N, Painter JN, Colodro-Conde L, Bralten J, Hibar DP, Lind PA, Pizzagalli F, Thomopoulos SI, Stein JL, Franke B, Martin NG, and Thompson PM
Subjects: Humans, Multicenter Studies as Topic, Brain anatomy & histology, Brain diagnostic imaging, Genetics, Genome-Wide Association Study, Mental Disorders diagnostic imaging, Mental Disorders genetics, Mental Disorders pathology, Meta-Analysis as Topic, Nervous System Diseases diagnostic imaging, Nervous System Diseases genetics, Nervous System Diseases pathology, Neuroimaging
Abstract: Here we review the motivation for creating the enhancing neuroimaging genetics through meta-analysis (ENIGMA) Consortium and the genetic analyses undertaken by the consortium so far. We discuss the methodological challenges, findings, and future directions of the genetics working group. A major goal of the working group is tackling the reproducibility crisis affecting "candidate gene" and genome-wide association analyses in neuroimaging. To address this, we developed harmonized analytic methods, and support their use in coordinated analyses across sites worldwide, which also makes it possible to understand heterogeneity in results across sites. These efforts have resulted in the identification of hundreds of common genomic loci robustly associated with brain structure. We have found both pleiotropic and specific genetic effects associated with brain structures, as well as genetic correlations with psychiatric and neurological diseases., (© 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.)
Published: 2022
Full Text: View/download PDF

50. Understanding genetic risk factors for common side effects of antidepressant medications.

Author: Campos AI, Mulcahy A, Thorp JG, Wray NR, Byrne EM, Lind PA, Medland SE, Martin NG, Hickie IB, and Rentería ME
Abstract: Background: Major depression is one of the most disabling health conditions internationally. In recent years, new generation antidepressant medicines have become very widely prescribed. While these medicines are efficacious, side effects are common and frequently result in discontinuation of treatment. Compared with specific pharmacological properties of the different medications, the relevance of individual vulnerability is understudied., Methods: We used data from the Australian Genetics of Depression Study to gain insights into the aetiology and genetic risk factors to antidepressant side effects. To this end, we employed structural equation modelling, polygenic risk scoring and regressions., Results: Here we show that participants reporting a specific side effect for one antidepressant are more likely to report the same side effect for other antidepressants, suggesting the presence of shared individual or pharmacological factors. Polygenic risk scores (PRS) for depression associated with side effects that overlapped with depressive symptoms, including suicidality and anxiety. Body Mass Index PRS are strongly associated with weight gain from all medications. PRS for headaches are associated with headaches from sertraline. Insomnia PRS show some evidence of predicting insomnia from amitriptyline and escitalopram., Conclusions: Our results suggest a set of common factors underlying the risk for antidepressant side effects. These factors seem to be partly explained by genetic liability related to depression severity and the nature of the side effect. Future studies on the genetic aetiology of side effects will enable insights into their underlying mechanisms and the possibility of risk stratification and prophylaxis strategies., Competing Interests: Competing interestsI.B.H. has been: Commissioner of Australia’s National Mental Health Commission (2012–2018); Co-director of Health & Policy at the Brain & Mind Centre, University of Sydney; leading community-based and pharmaceutical industry-supported projects (Wyeth, Eli Lilly, Servier, Pfizer, AstraZeneca) focused on the identification and better management of anxiety and depression; a member of the Medical Advisory Panel for Medibank Private until October 2017; a board member of Psychosis Australia Trust; a member of the Veterans Mental Health Clinical Reference Group; and Chief Scientific Advisor to and an equity shareholder in Innowell. A.I.C., A.M., N.G.M., J.G.T., S.E.M., P.L., J.G.T., N.R.W., E.M.B. and M.E.R. have nothing to disclose., (© The Author(s) 2021.)
Published: 2021
Full Text: View/download PDF

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Publication Type

Journal

Region

Database

Publisher

173 results on '"Lind, PA"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources