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109 results on '"Day FR"'

1. 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, M-R, 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, J-J, Hu, FB, Huebner, H, Hunter, DJ, ABCTB Investigators, 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, Lifelines Cohort Study, Danish Blood Donor Study, Ovarian Cancer Association Consortium, Breast Cancer Association Consortium, Biobank Japan Project, China Kadoorie Biobank Collaborative Group, 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, Ong, KK, 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, M-R, 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, J-J, Hu, FB, Huebner, H, Hunter, DJ, ABCTB Investigators, 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, Lifelines Cohort Study, Danish Blood Donor Study, Ovarian Cancer Association Consortium, Breast Cancer Association Consortium, Biobank Japan Project, China Kadoorie Biobank Collaborative Group, 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
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.
Published: 2024

2. Genetic insights into biological mechanisms governing human ovarian ageing

Author: Ruth KS, Day FR, Hussain J, Martinez-Marchal A, Aiken CE, Azad A, and Thompson DJ
Subjects: General Economics, Econometrics and Finance
Published: 2022

3. MC3R links nutritional state to childhood growth and the timing of puberty

Author: Lam BYH, Williamson A, Finer S, Day FR, Tadross JA, A Goncalves Soares, Wade K, Sweeney P, Bedenbaugh MN, Porter DT, Melvin A, Ellacott KLJ, Lippert RN, Buller S, Rosmaninho-Salgado J, Dowsett GKC, Ridley KE, Xu Z, Cimino I, Rimmington D, Rainbow K, Duckett K, Holmqvist S, Khan A, Dai X, Bochukova X, Genes & Health Research Team X, Martin X, Coll X, Rowitch X, Wareham X, van Heel X, Timpson X, Simerly X, Ong X, Cone X, Langenberg X, Perry X, Yeo X, and O'Rahilly X
Subjects: General Economics, Econometrics and Finance
Published: 2022

4. MC3R links nutritional state to childhood growth and the timing of puberty

Author: Lam, BYH, Williamson, A, Finer, S, Day, FR, Tadross, JA, Gonçalves Soares, A, Wade, K, Sweeney, P, Bedenbaugh, MN, Porter, DT, Melvin, A, Ellacott, KLJ, Lippert, RN, Buller, S, Rosmaninho-Salgado, J, Dowsett, GKC, Ridley, KE, Xu, Z, Cimino, I, Rimmington, D, Rainbow, K, Duckett, K, Holmqvist, S, Khan, A, Dai, X, Bochukova, EG, Genes & Health Research Team, Trembath, RC, Martin, HC, Coll, AP, Rowitch, DH, Wareham, NJ, Van Heel, DA, Timpson, N, Simerly, RB, Ong, KK, Cone, RD, Langenberg, C, Perry, JRB, Yeo, GS, O'Rahilly, S, Lam, BYH [0000-0002-3638-9025], Williamson, A [0000-0002-7599-9301], Finer, S [0000-0002-2684-4653], Day, FR [0000-0003-3789-7651], Tadross, JA [0000-0002-8424-1252], Wade, K [0000-0003-3362-6280], Porter, DT [0000-0002-8042-3251], Cimino, I [0000-0003-1397-5408], Holmqvist, S [0000-0001-6709-6666], Khan, A [0000-0002-5189-6906], Martin, HC [0000-0002-4454-9084], Rowitch, DH [0000-0002-0079-0060], Wareham, NJ [0000-0003-1422-2993], van Heel, DA [0000-0002-0637-2265], Timpson, N [0000-0002-7141-9189], Simerly, RB [0000-0001-5840-0152], Ong, KK [0000-0003-4689-7530], Cone, RD [0000-0003-3333-5651], Langenberg, C [0000-0002-5017-7344], Perry, JRB [0000-0001-6483-3771], Yeo, GS [0000-0001-8823-3615], O'Rahilly, S [0000-0003-2199-4449], and Apollo - University of Cambridge Repository
Subjects: Aged, 80 and over, Male, Menarche, Time Factors, Adolescent, Homozygote, Puberty, Hypothalamus, Nutritional Status, Estrous Cycle, Weight Gain, Melanocortins, Mice, Child Development, Phenotype, Animals, Humans, Female, Sexual Maturation, Insulin-Like Growth Factor I, Child, Receptor, Melanocortin, Type 3
Abstract: The state of somatic energy stores in metazoans is communicated to the brain, which regulates key aspects of behaviour, growth, nutrient partitioning and development1. The central melanocortin system acts through melanocortin 4 receptor (MC4R) to control appetite, food intake and energy expenditure2. Here we present evidence that MC3R regulates the timing of sexual maturation, the rate of linear growth and the accrual of lean mass, which are all energy-sensitive processes. We found that humans who carry loss-of-function mutations in MC3R, including a rare homozygote individual, have a later onset of puberty. Consistent with previous findings in mice, they also had reduced linear growth, lean mass and circulating levels of IGF1. Mice lacking Mc3r had delayed sexual maturation and an insensitivity of reproductive cycle length to nutritional perturbation. The expression of Mc3r is enriched in hypothalamic neurons that control reproduction and growth, and expression increases during postnatal development in a manner that is consistent with a role in the regulation of sexual maturation. These findings suggest a bifurcating model of nutrient sensing by the central melanocortin pathway with signalling through MC4R controlling the acquisition and retention of calories, whereas signalling through MC3R primarily regulates the disposition of calories into growth, lean mass and the timing of sexual maturation.
Published: 2021
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5. Genetic insights into biological mechanisms governing human ovarian ageing

Author: Ruth, KS, Day, FR, Hussain, J, Martinez-Marchal, A, Aiken, CE, Azad, A, Thompson, DJ, Knoblochova, L, Abe, H, Tarry-Adkins, JL, Gonzalez, JM, Fontanillas, P, Claringbould, A, Bakker, OB, Sulem, P, Walters, RG, Terao, C, Turon, S, Horikoshi, M, Lin, K, Onland-Moret, NC, Sankar, A, Hertz, EPT, Timshel, PN, Shukla, V, Borup, R, Olsen, KW, Aguilera, P, Ferrer-Roda, M, Huang, Y, Stankovic, S, Timmers, PRHJ, Ahearn, TU, Alizadeh, BZ, Naderi, E, Andrulis, IL, Arnold, AM, Aronson, KJ, Augustinsson, A, Bandinelli, S, Barbieri, CM, Beaumont, RN, Becher, H, Beckmann, MW, Benonisdottir, S, Bergmann, S, Bochud, M, Boerwinkle, E, Bojesen, SE, Bolla, MK, Boomsma, DI, Bowker, N, Brody, JA, Broer, L, Buring, JE, Campbell, A, Campbell, H, Castelao, JE, Catamo, E, Chanock, SJ, Chenevix-Trench, G, Ciullo, M, Corre, T, Couch, FJ, Cox, A, Crisponi, L, Cross, SS, Cucca, F, Czene, K, Smith, GD, de Geus, EJCN, de Mutsert, R, De Vivo, I, Demerath, EW, Dennis, J, Dunning, AM, Dwek, M, Eriksson, M, Esko, T, Fasching, PA, Faul, JD, Ferrucci, L, Franceschini, N, Frayling, TM, Gago-Dominguez, M, Mezzavilla, M, Garcia-Closas, M, Gieger, C, Giles, GG, Grallert, H, Gudbjartsson, DF, Gudnason, V, Guenel, P, Haiman, CA, Hakansson, N, Hall, P, Hayward, C, He, C, He, W, Heiss, G, Hoffding, MK, Hopper, JL, Hottenga, JJ, Hu, F, Hunter, D, Ikram, MA, Jackson, RD, Joaquim, MDR, John, EM, Joshi, PK, Karasik, D, Kardia, SLR, Kartsonaki, C, Karlsson, R, Kitahara, CM, Kolcic, I, Kooperberg, C, Kraft, P, Kurian, AW, Kutalik, Z, La Bianca, M, LaChance, G, Langenberg, C, Launer, LJ, Laven, JSE, Lawlor, DA, Le Marchand, L, Li, J, Lindblom, A, Lindstrom, S, Lindstrom, T, Linet, M, Liu, Y, Liu, S, Luan, J, Magi, R, Magnusson, PKE, Mangino, M, Mannermaa, A, Marco, B, Marten, J, Martin, NG, Mbarek, H, McKnight, B, Medland, SE, Meisinger, C, Meitinger, T, Menni, C, Metspalu, A, Milani, L, Milne, RL, Montgomery, GW, Mook-Kanamori, DO, Mulas, A, Mulligan, AM, Murray, A, Nalls, MA, Newman, A, Noordam, R, Nutile, T, Nyholt, DR, Olshan, AF, Olsson, H, Painter, JN, Patel, AV, Pedersen, NL, Perjakova, N, Peters, A, Peters, U, Pharoah, PDP, Polasek, O, Porcu, E, Psaty, BM, Rahman, I, Rennert, G, Rennert, HS, Ridker, PM, Ring, SM, Robino, A, Rose, LM, Rosendaal, FR, Rossouw, J, Rudan, I, Rueedi, R, Ruggiero, D, Sala, CF, Saloustros, E, Sandler, DP, Sanna, S, Sawyer, EJ, Sarnowski, C, Schlessinger, D, Schmidt, MK, Schoemaker, MJ, Schraut, KE, Scott, C, Shekari, S, Shrikhande, A, Smith, AV, Smith, BH, Smith, JA, Sorice, R, Southey, MC, Spector, TD, Spinelli, JJ, Stampfer, M, Stoeckl, D, van Meurs, JBJ, Strauch, K, Styrkarsdottir, U, Swerdlow, AJ, Tanaka, T, Teras, LR, Teumer, A, thorsteinsdottir, U, Timpson, NJ, Toniolo, D, Traglia, M, Troester, MA, Truong, T, Tyrrell, J, Uitterlinden, AG, Ulivi, S, Vachon, CM, Vitart, V, Voelker, U, Vollenweider, P, Voelzke, H, Wang, Q, Wareham, NJ, Weinberg, CR, Weir, DR, Wilcox, AN, van Dijk, KW, Willemsen, G, Wilson, JF, Wolffenbuttel, BHR, Wolk, A, Wood, AR, Zhao, W, Zygmunt, M, Chen, Z, Li, L, Franke, L, Burgess, S, Deelen, P, Pers, TH, Grondahl, ML, Andersen, CY, Pujol, A, Lopez-Contreras, AJ, Daniel, JA, Stefansson, K, Chang-Claude, J, van der Schouw, YT, Lunetta, KL, Chasman, DI, Easton, DF, Visser, JA, Ozanne, SE, Namekawa, SH, Solc, P, Murabito, JM, Ong, KK, Hoffmann, ER, Roig, I, Perry, JRB, Ruth, KS, Day, FR, Hussain, J, Martinez-Marchal, A, Aiken, CE, Azad, A, Thompson, DJ, Knoblochova, L, Abe, H, Tarry-Adkins, JL, Gonzalez, JM, Fontanillas, P, Claringbould, A, Bakker, OB, Sulem, P, Walters, RG, Terao, C, Turon, S, Horikoshi, M, Lin, K, Onland-Moret, NC, Sankar, A, Hertz, EPT, Timshel, PN, Shukla, V, Borup, R, Olsen, KW, Aguilera, P, Ferrer-Roda, M, Huang, Y, Stankovic, S, Timmers, PRHJ, Ahearn, TU, Alizadeh, BZ, Naderi, E, Andrulis, IL, Arnold, AM, Aronson, KJ, Augustinsson, A, Bandinelli, S, Barbieri, CM, Beaumont, RN, Becher, H, Beckmann, MW, Benonisdottir, S, Bergmann, S, Bochud, M, Boerwinkle, E, Bojesen, SE, Bolla, MK, Boomsma, DI, Bowker, N, Brody, JA, Broer, L, Buring, JE, Campbell, A, Campbell, H, Castelao, JE, Catamo, E, Chanock, SJ, Chenevix-Trench, G, Ciullo, M, Corre, T, Couch, FJ, Cox, A, Crisponi, L, Cross, SS, Cucca, F, Czene, K, Smith, GD, de Geus, EJCN, de Mutsert, R, De Vivo, I, Demerath, EW, Dennis, J, Dunning, AM, Dwek, M, Eriksson, M, Esko, T, Fasching, PA, Faul, JD, Ferrucci, L, Franceschini, N, Frayling, TM, Gago-Dominguez, M, Mezzavilla, M, Garcia-Closas, M, Gieger, C, Giles, GG, Grallert, H, Gudbjartsson, DF, Gudnason, V, Guenel, P, Haiman, CA, Hakansson, N, Hall, P, Hayward, C, He, C, He, W, Heiss, G, Hoffding, MK, Hopper, JL, Hottenga, JJ, Hu, F, Hunter, D, Ikram, MA, Jackson, RD, Joaquim, MDR, John, EM, Joshi, PK, Karasik, D, Kardia, SLR, Kartsonaki, C, Karlsson, R, Kitahara, CM, Kolcic, I, Kooperberg, C, Kraft, P, Kurian, AW, Kutalik, Z, La Bianca, M, LaChance, G, Langenberg, C, Launer, LJ, Laven, JSE, Lawlor, DA, Le Marchand, L, Li, J, Lindblom, A, Lindstrom, S, Lindstrom, T, Linet, M, Liu, Y, Liu, S, Luan, J, Magi, R, Magnusson, PKE, Mangino, M, Mannermaa, A, Marco, B, Marten, J, Martin, NG, Mbarek, H, McKnight, B, Medland, SE, Meisinger, C, Meitinger, T, Menni, C, Metspalu, A, Milani, L, Milne, RL, Montgomery, GW, Mook-Kanamori, DO, Mulas, A, Mulligan, AM, Murray, A, Nalls, MA, Newman, A, Noordam, R, Nutile, T, Nyholt, DR, Olshan, AF, Olsson, H, Painter, JN, Patel, AV, Pedersen, NL, Perjakova, N, Peters, A, Peters, U, Pharoah, PDP, Polasek, O, Porcu, E, Psaty, BM, Rahman, I, Rennert, G, Rennert, HS, Ridker, PM, Ring, SM, Robino, A, Rose, LM, Rosendaal, FR, Rossouw, J, Rudan, I, Rueedi, R, Ruggiero, D, Sala, CF, Saloustros, E, Sandler, DP, Sanna, S, Sawyer, EJ, Sarnowski, C, Schlessinger, D, Schmidt, MK, Schoemaker, MJ, Schraut, KE, Scott, C, Shekari, S, Shrikhande, A, Smith, AV, Smith, BH, Smith, JA, Sorice, R, Southey, MC, Spector, TD, Spinelli, JJ, Stampfer, M, Stoeckl, D, van Meurs, JBJ, Strauch, K, Styrkarsdottir, U, Swerdlow, AJ, Tanaka, T, Teras, LR, Teumer, A, thorsteinsdottir, U, Timpson, NJ, Toniolo, D, Traglia, M, Troester, MA, Truong, T, Tyrrell, J, Uitterlinden, AG, Ulivi, S, Vachon, CM, Vitart, V, Voelker, U, Vollenweider, P, Voelzke, H, Wang, Q, Wareham, NJ, Weinberg, CR, Weir, DR, Wilcox, AN, van Dijk, KW, Willemsen, G, Wilson, JF, Wolffenbuttel, BHR, Wolk, A, Wood, AR, Zhao, W, Zygmunt, M, Chen, Z, Li, L, Franke, L, Burgess, S, Deelen, P, Pers, TH, Grondahl, ML, Andersen, CY, Pujol, A, Lopez-Contreras, AJ, Daniel, JA, Stefansson, K, Chang-Claude, J, van der Schouw, YT, Lunetta, KL, Chasman, DI, Easton, DF, Visser, JA, Ozanne, SE, Namekawa, SH, Solc, P, Murabito, JM, Ong, KK, Hoffmann, ER, Roig, I, and Perry, JRB
Abstract: Reproductive longevity is essential for fertility and influences healthy ageing in women1,2, but insights into its underlying biological mechanisms and treatments to preserve it are limited. Here we identify 290 genetic determinants of ovarian ageing, assessed using normal variation in age at natural menopause (ANM) in about 200,000 women of European ancestry. These common alleles were associated with clinical extremes of ANM; women in the top 1% of genetic susceptibility have an equivalent risk of premature ovarian insufficiency to those carrying monogenic FMR1 premutations3. The identified loci implicate a broad range of DNA damage response (DDR) processes and include loss-of-function variants in key DDR-associated genes. Integration with experimental models demonstrates that these DDR processes act across the life-course to shape the ovarian reserve and its rate of depletion. Furthermore, we demonstrate that experimental manipulation of DDR pathways highlighted by human genetics increases fertility and extends reproductive life in mice. Causal inference analyses using the identified genetic variants indicate that extending reproductive life in women improves bone health and reduces risk of type 2 diabetes, but increases the risk of hormone-sensitive cancers. These findings provide insight into the mechanisms that govern ovarian ageing, when they act, and how they might be targeted by therapeutic approaches to extend fertility and prevent disease.
Published: 2021

6. Genomic analysis of male puberty timing highlights shared genetic basis with hair colour and lifespan.

Author: Hollis, B, Day, FR, Busch, AS, Thompson, DJ, Soares, ALG, Timmers, PRHJ, Kwong, A, Easton, DF, Joshi, PK, Timpson, NJ, PRACTICAL Consortium, 23andMe Research Team, Ong, KK, Perry, JRB, Hollis, B, Day, FR, Busch, AS, Thompson, DJ, Soares, ALG, Timmers, PRHJ, Kwong, A, Easton, DF, Joshi, PK, Timpson, NJ, PRACTICAL Consortium, 23andMe Research Team, Ong, KK, and Perry, JRB
Abstract: The timing of puberty is highly variable and is associated with long-term health outcomes. To date, understanding of the genetic control of puberty timing is based largely on studies in women. Here, we report a multi-trait genome-wide association study for male puberty timing with an effective sample size of 205,354 men. We find moderately strong genomic correlation in puberty timing between sexes (rg = 0.68) and identify 76 independent signals for male puberty timing. Implicated mechanisms include an unexpected link between puberty timing and natural hair colour, possibly reflecting common effects of pituitary hormones on puberty and pigmentation. Earlier male puberty timing is genetically correlated with several adverse health outcomes and Mendelian randomization analyses show a genetic association between male puberty timing and shorter lifespan. These findings highlight the relationships between puberty timing and health outcomes, and demonstrate the value of genetic studies of puberty timing in both sexes.
Published: 2020

7. The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia: design, results and future prospects

Author: Middeldorp, CM, Mahajan, A, Horikoshi, M, Robertson, NR, Beaumont, RN, Bradfield, JP, Bustamante, M, Cousminer, DL, Day, FR, De Silva, NM, Guxens, M, Mook-Kanamori, DO, St Pourcain, B, Warrington, NM, Adair, LS, Ahlqvist, E, Ahluwalia, TS, Almgren, P, Ang, W, Atalay, M, Auvinen, J, Bartels, M, Beckmann, JS, Bilbao, JR, Bond, T, Borja, JB, Cavadino, A, Charoen, P, Chen, Z, Coin, L, Cooper, C, Curtin, JA, Custovic, A, Das, S, Davies, GE, Dedoussis, GV, Duijts, L, Eastwood, PR, Eliasen, AU, Elliott, P, Eriksson, JG, Estivill, X, Fadista, J, Fedko, IO, Frayling, TM, Gaillard, R, Gauderman, WJ, Geller, F, Gilliland, F, Gilsanz, V, Granell, R, Grarup, N, Groop, L, Hadley, D, Hakonarson, H, Hansen, T, Hartman, CA, Hattersley, AT, Hayes, MG, Hebebrand, J, Heinrich, J, Helgeland, O, Henders, AK, Henderson, J, Henriksen, TB, Hirschhorn, JN, Hivert, M-F, Hocher, B, Holloway, JW, Holt, P, Hottenga, J-J, Hypponen, E, Iniguez, C, Johansson, S, Jugessur, A, Kahonen, M, Kalkwarf, HJ, Kaprio, J, Karhunen, V, Kemp, JP, Kerkhof, M, Koppelman, GH, Korner, A, Kotecha, S, Kreiner-Moller, E, Kulohoma, B, Kumar, A, Kutalik, Z, Lahti, J, Lappe, JM, Larsson, H, Lehtimaki, T, Lewin, AM, Li, J, Lichtenstein, P, Lindgren, CM, Lindi, V, Linneberg, A, Liu, X, Liu, J, Lowe, WL, Lundstrom, S, Lyytikainen, L-P, Ma, RCW, Mace, A, Magi, R, Magnus, P, Mamun, AA, Mannikko, M, Martin, NG, Mbarek, H, McCarthy, NS, Medland, SE, Melbye, M, Melen, E, Mohlke, KL, Monnereau, C, Morgen, CS, Morris, AP, Murray, JC, Myhre, R, Najman, JM, Nivard, MG, Nohr, EA, Nolte, IM, Ntalla, I, O'Reilly, P, Oberfield, SE, Oken, E, Oldehinkel, AJ, Pahkala, K, Palviainen, T, Panoutsopoulou, K, Pedersen, O, Pennell, CE, Pershagen, G, Pitkanen, N, Plomin, R, Power, C, Prasad, RB, Prokopenko, I, Pulkkinen, L, Raikkonen, K, Raitakari, OT, Reynolds, RM, Richmond, RC, Rivadeneira, F, Rodriguez, A, Rose, RJ, Salem, R, Santa-Marina, L, Saw, S-M, Schnurr, TM, Scott, JG, Selzam, S, Shepherd, JA, Simpson, A, Skotte, L, Sleiman, PMA, Snieder, H, Sorensen, TIA, Standl, M, Steegers, EAP, Strachan, DP, Straker, L, Strandberg, T, Taylor, M, Teo, Y-Y, Thiering, E, Torrent, M, Tyrrell, J, Uitterlinden, AG, van Beijsterveldt, T, van der Most, PJ, van Duijn, CM, Viikari, J, Vilor-Tejedor, N, Vogelezang, S, Vonk, JM, Vrijkotte, TGM, Vuoksimaa, E, Wang, CA, Watkins, WJ, Wichmann, H-E, Willemsen, G, Williams, GM, Wilson, JF, Wray, NR, Xu, S, Xu, C-J, Yaghootkar, H, Yi, L, Zafarmand, MH, Zeggini, E, Zemel, BS, Hinney, A, Lakka, TA, Whitehouse, AJO, Sunyer, J, Widen, EE, Feenstra, B, Sebert, S, Jacobsson, B, Njolstad, PR, Stoltenberg, C, Smith, GD, Lawlor, DA, Paternoster, L, Timpson, NJ, Ong, KK, Bisgaard, H, Bonnelykke, K, Jaddoe, VWV, Tiemeier, H, Jarvelin, M-R, Evans, DM, Perry, JRB, Grant, SFA, Boomsma, DI, Freathy, RM, McCarthy, MI, Felix, JF, Middeldorp, CM, Mahajan, A, Horikoshi, M, Robertson, NR, Beaumont, RN, Bradfield, JP, Bustamante, M, Cousminer, DL, Day, FR, De Silva, NM, Guxens, M, Mook-Kanamori, DO, St Pourcain, B, Warrington, NM, Adair, LS, Ahlqvist, E, Ahluwalia, TS, Almgren, P, Ang, W, Atalay, M, Auvinen, J, Bartels, M, Beckmann, JS, Bilbao, JR, Bond, T, Borja, JB, Cavadino, A, Charoen, P, Chen, Z, Coin, L, Cooper, C, Curtin, JA, Custovic, A, Das, S, Davies, GE, Dedoussis, GV, Duijts, L, Eastwood, PR, Eliasen, AU, Elliott, P, Eriksson, JG, Estivill, X, Fadista, J, Fedko, IO, Frayling, TM, Gaillard, R, Gauderman, WJ, Geller, F, Gilliland, F, Gilsanz, V, Granell, R, Grarup, N, Groop, L, Hadley, D, Hakonarson, H, Hansen, T, Hartman, CA, Hattersley, AT, Hayes, MG, Hebebrand, J, Heinrich, J, Helgeland, O, Henders, AK, Henderson, J, Henriksen, TB, Hirschhorn, JN, Hivert, M-F, Hocher, B, Holloway, JW, Holt, P, Hottenga, J-J, Hypponen, E, Iniguez, C, Johansson, S, Jugessur, A, Kahonen, M, Kalkwarf, HJ, Kaprio, J, Karhunen, V, Kemp, JP, Kerkhof, M, Koppelman, GH, Korner, A, Kotecha, S, Kreiner-Moller, E, Kulohoma, B, Kumar, A, Kutalik, Z, Lahti, J, Lappe, JM, Larsson, H, Lehtimaki, T, Lewin, AM, Li, J, Lichtenstein, P, Lindgren, CM, Lindi, V, Linneberg, A, Liu, X, Liu, J, Lowe, WL, Lundstrom, S, Lyytikainen, L-P, Ma, RCW, Mace, A, Magi, R, Magnus, P, Mamun, AA, Mannikko, M, Martin, NG, Mbarek, H, McCarthy, NS, Medland, SE, Melbye, M, Melen, E, Mohlke, KL, Monnereau, C, Morgen, CS, Morris, AP, Murray, JC, Myhre, R, Najman, JM, Nivard, MG, Nohr, EA, Nolte, IM, Ntalla, I, O'Reilly, P, Oberfield, SE, Oken, E, Oldehinkel, AJ, Pahkala, K, Palviainen, T, Panoutsopoulou, K, Pedersen, O, Pennell, CE, Pershagen, G, Pitkanen, N, Plomin, R, Power, C, Prasad, RB, Prokopenko, I, Pulkkinen, L, Raikkonen, K, Raitakari, OT, Reynolds, RM, Richmond, RC, Rivadeneira, F, Rodriguez, A, Rose, RJ, Salem, R, Santa-Marina, L, Saw, S-M, Schnurr, TM, Scott, JG, Selzam, S, Shepherd, JA, Simpson, A, Skotte, L, Sleiman, PMA, Snieder, H, Sorensen, TIA, Standl, M, Steegers, EAP, Strachan, DP, Straker, L, Strandberg, T, Taylor, M, Teo, Y-Y, Thiering, E, Torrent, M, Tyrrell, J, Uitterlinden, AG, van Beijsterveldt, T, van der Most, PJ, van Duijn, CM, Viikari, J, Vilor-Tejedor, N, Vogelezang, S, Vonk, JM, Vrijkotte, TGM, Vuoksimaa, E, Wang, CA, Watkins, WJ, Wichmann, H-E, Willemsen, G, Williams, GM, Wilson, JF, Wray, NR, Xu, S, Xu, C-J, Yaghootkar, H, Yi, L, Zafarmand, MH, Zeggini, E, Zemel, BS, Hinney, A, Lakka, TA, Whitehouse, AJO, Sunyer, J, Widen, EE, Feenstra, B, Sebert, S, Jacobsson, B, Njolstad, PR, Stoltenberg, C, Smith, GD, Lawlor, DA, Paternoster, L, Timpson, NJ, Ong, KK, Bisgaard, H, Bonnelykke, K, Jaddoe, VWV, Tiemeier, H, Jarvelin, M-R, Evans, DM, Perry, JRB, Grant, SFA, Boomsma, DI, Freathy, RM, McCarthy, MI, and Felix, JF
Abstract: The impact of many unfavorable childhood traits or diseases, such as low birth weight and mental disorders, is not limited to childhood and adolescence, as they are also associated with poor outcomes in adulthood, such as cardiovascular disease. Insight into the genetic etiology of childhood and adolescent traits and disorders may therefore provide new perspectives, not only on how to improve wellbeing during childhood, but also how to prevent later adverse outcomes. To achieve the sample sizes required for genetic research, the Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia were established. The majority of the participating cohorts are longitudinal population-based samples, but other cohorts with data on early childhood phenotypes are also involved. Cohorts often have a broad focus and collect(ed) data on various somatic and psychiatric traits as well as environmental factors. Genetic variants have been successfully identified for multiple traits, for example, birth weight, atopic dermatitis, childhood BMI, allergic sensitization, and pubertal growth. Furthermore, the results have shown that genetic factors also partly underlie the association with adult traits. As sample sizes are still increasing, it is expected that future analyses will identify additional variants. This, in combination with the development of innovative statistical methods, will provide detailed insight on the mechanisms underlying the transition from childhood to adult disorders. Both consortia welcome new collaborations. Policies and contact details are available from the corresponding authors of this manuscript and/or the consortium websites.
Published: 2019

8. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals

Author: Lee, JJ, Wedow, R, Okbay, A, Kong, E, Maghzian, O, Zacher, M, Tuan Anh, N-V, Bowers, P, Sidorenko, J, Linner, RK, Fontana, MA, Kundu, T, Lee, C, Li, H, Li, R, Royer, R, Timshel, PN, Walters, RK, Willoughby, EA, Yengo, L, Alver, M, Bao, Y, Clark, DW, Day, FR, Furlotte, NA, Joshi, PK, Kemper, KE, Kleinman, A, Langenberg, C, Magi, R, Trampush, JW, Verma, SS, Wu, Y, Lam, Mei, Zhao, JH, Zheng, Z, Boardman, JD, Campbell, H, Freese, J, Harris, KM, Hayward, C, Herd, P, Kumari, M, Lencz, T, Luan, JA, Malhotra, AK, Metspalu, A, Milani, L, Ong, KK, Perry, JRB, Porteous, DJ, Ritchie, MD, Smart, MC, Smith, BH, Tung, JY, Wareham, NJ, Wilson, JF, Beauchamp, JP, Conley, DC, Esko, T, Lehrer, SF, Magnusson, PKE, Oskarsson, S, Pers, TH, Robinson, MR, Thom, K, Watson, C, Chabris, CF, Meyer, MN, Laibson, DI, Yang, Jiaqi, Johannesson, M, Koellinger, PD, Turley, P, Visscher, PM, Benjamin, DJ, Cesarini, D, Lee, JJ, Wedow, R, Okbay, A, Kong, E, Maghzian, O, Zacher, M, Tuan Anh, N-V, Bowers, P, Sidorenko, J, Linner, RK, Fontana, MA, Kundu, T, Lee, C, Li, H, Li, R, Royer, R, Timshel, PN, Walters, RK, Willoughby, EA, Yengo, L, Alver, M, Bao, Y, Clark, DW, Day, FR, Furlotte, NA, Joshi, PK, Kemper, KE, Kleinman, A, Langenberg, C, Magi, R, Trampush, JW, Verma, SS, Wu, Y, Lam, Mei, Zhao, JH, Zheng, Z, Boardman, JD, Campbell, H, Freese, J, Harris, KM, Hayward, C, Herd, P, Kumari, M, Lencz, T, Luan, JA, Malhotra, AK, Metspalu, A, Milani, L, Ong, KK, Perry, JRB, Porteous, DJ, Ritchie, MD, Smart, MC, Smith, BH, Tung, JY, Wareham, NJ, Wilson, JF, Beauchamp, JP, Conley, DC, Esko, T, Lehrer, SF, Magnusson, PKE, Oskarsson, S, Pers, TH, Robinson, MR, Thom, K, Watson, C, Chabris, CF, Meyer, MN, Laibson, DI, Yang, Jiaqi, Johannesson, M, Koellinger, PD, Turley, P, Visscher, PM, Benjamin, DJ, and Cesarini, D
Published: 2018

9. Large-scale GWAS identifies multiple loci for hand grip strength providing biological insights into muscular fitness

Author: Willems, SM, Wright, DJ, Day, FR, Trajanoska, K, Joshi, PK, Morris, JA, Matteini, AM, Garton, FC, Grarup, N, Oskolkov, N, Thalamuthu, A, Mangino, M, Liu, J, Demirkan, A, Lek, M, Xu, L, Wang, G, Oldmeadow, C, Gaulton, KJ, Lotta, LA, Miyamoto-Mikami, E, Rivas, MA, White, T, Loh, P-R, Aadahl, M, Amin, N, Attia, JR, Austin, K, Benyamin, B, Brage, S, Cheng, Y-C, Cięszczyk, P, Derave, W, Eriksson, K-F, Eynon, N, Linneberg, A, Lucia, A, Massidda, M, Mitchell, BD, Miyachi, M, Murakami, H, Padmanabhan, S, Pandey, A, Papadimitriou, I, Rajpal, DK, Sale, C, Schnurr, TM, Sessa, F, Shrine, N, Tobin, MD, Varley, I, Wain, LV, Wray, NR, Lindgren, CM, MacArthur, DG, Waterworth, DM, McCarthy, MI, Pedersen, O, Khaw, K-T, Kiel, DP, Oei, L, Zheng, H-F, Forgetta, V, Leong, A, Ahmad, OS, Laurin, C, Mokry, LE, Ross, S, Elks, CE, Bowden, J, Warrington, NM, Murray, A, Ruth, KS, Tsilidis, KK, Medina-Gómez, C, Estrada, K, Bis, JC, Chasman, DI, Demissie, S, Enneman, AW, Hsu, Y-H, Ingvarsson, T, Kähönen, M, Kammerer, C, Lacroix, AZ, Li, G, Liu, C-T, Liu, Y, Lorentzon, M, Mägi, R, Mihailov, E, Milani, L, Moayyeri, A, Nielson, CM, Sham, PC, Siggeirsdotir, K, Sigurdsson, G, Stefansson, K, Trompet, S, Thorleifsson, G, Vandenput, L, van der Velde, N, Viikari, J, Xiao, S-M, Zhao, JH, Evans, DS, Cummings, SR, Cauley, J, Duncan, EL, de Groot, LCPGM, Esko, T, Gudnason, V, Harris, TB, Jackson, RD, Jukema, JW, Ikram, AMA, Karasik, D, Kaptoge, S, Kung, AWC, Lehtimäki, T, Lyytikäinen, L-P, Lips, P, Luben, R, Metspalu, A, van Meurs, JBJ, Minster, RL, Orwoll, E, Oei, E, Psaty, BM, Raitakari, OT, Ralston, SW, Ridker, PM, Robbins, JA, Smith, AV, Styrkarsdottir, U, Tranah, GJ, Thorstensdottir, U, Uitterlinden, AG, Zmuda, J, Zillikens, MC, Ntzani, EE, Evangelou, E, Ioannidis, JPA, Evans, DM, Ohlsson, C, Pitsiladis, Y, Fuku, N, Franks, PW, North, KN, van Duijn, CM, Mather, KA, Hansen, T, Hansson, O, Spector, T, Murabito, JM, Richards, JB, Rivadeneira, F, Langenberg, C, Perry, JRB, Wareham, NJ, Scott, RA, Willems, Sara M, Wright, Daniel J, Day, Felix R, Trajanoska, Katerina, Benyamin, Beben, Scott, Robert A, GEFOS Anytype Fracture Consortium, Wright, Daniel [0000-0003-3983-2093], Day, Felix [0000-0003-3789-7651], White, Thomas [0000-0001-8456-0803], Brage, Soren [0000-0002-1265-7355], Khaw, Kay-Tee [0000-0002-8802-2903], Langenberg, Claudia [0000-0002-5017-7344], Perry, John [0000-0001-6483-3771], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Epidemiology, and Internal Medicine
Subjects: Male, Genome-wide association study, VARIANTS, Physical strength, DISEASE, Grip strength, 0302 clinical medicine, Neoplasm Proteins/genetics, GENETIC INFLUENCES, European Continental Ancestry Group/genetics, Aetiology, education.field_of_study, Hand Strength, Deporte, 3. Good health, Neoplasm Proteins, muscular fitness, Science & Technology - Other Topics, Medical genetics, medicine.medical_specialty, Science, 1.1 Normal biological development and functioning, European Continental Ancestry Group, ta3111, Article, White People, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, FRACTURES, Genetics, Humans, GENOME-WIDE ASSOCIATION, Genetik, Polymorphism, education, METAANALYSIS, Aged, VLAG, Global Nutrition, Wereldvoeding, Science & Technology, ta1184, Prevention, Hand/physiology, Biology and Life Sciences, INSTRUMENTS, Hand, GEFOS Any-Type of Fracture Consortium, Nuclear Proteins/genetics, Genetics, Population, 030104 developmental biology, Genetic Loci, 030217 neurology & neurosurgery, 0301 basic medicine, Transforming Growth Factor alpha/genetics, General Physics and Astronomy, Bioinformatics, GROWTH-FACTOR-ALPHA, Cohort Studies, Medicine and Health Sciences, 2.1 Biological and endogenous factors, ta315, Multidisciplinary, Nuclear Proteins, Single Nucleotide, Middle Aged, Multidisciplinary Sciences, MENDELIAN RANDOMIZATION, SKELETAL-MUSCLE, Female, Medical Genetics, Adult, Population, Quantitative trait locus, Biology, Polymorphism, Single Nucleotide, Underpinning research, Hand strength, MD Multidisciplinary, Mendelian randomization, medicine, Life Science, Membrane Proteins/genetics, Deportes, Medicinsk genetik, Repressor Proteins/genetics, Whites, Actins/genetics, Membrane Proteins, General Chemistry, Transforming Growth Factor alpha, Genética, Actins, United Kingdom, Repressor Proteins, Good Health and Well Being, Exercise Physiology and nutrition, Musculoskeletal, genome-wide association, Genome-Wide Association Study
Abstract: Hand grip strength is a widely used proxy of muscular fitness, a marker of frailty, and predictor of a range of morbidities and all-cause mortality. To investigate the genetic determinants of variation in grip strength, we perform a large-scale genetic discovery analysis in a combined sample of 195,180 individuals and identify 16 loci associated with grip strength (P, Hand grip strength as a proxy of muscular fitness is a clinical predictor of mortality and morbidity. In a large-scale GWA study, the authors find 16 robustly associated genetic loci that highlight roles in muscle fibre structure and function, neuronal maintenance and nervous system signal transduction.
Published: 2017

10. Biological interpretation of genome-wide association studies using predicted gene functions

Author: Pers TH, Karjalainen JM, Chan Y, Westra HJ, Wood AR, Yang J, Lui JC, Vedantam S, Gustafsson S, Esko T, Frayling T, Speliotes EK, Boehnke M, Raychaudhuri S, Fehrmann RS, Hirschhorn JN, Franke L, Chu AY, Estrada K, Luan J, Kutalik Z, Amin N, Buchkovich ML, Croteau Chonka DC, Day FR, Duan Y, Fall T, Fehrmann R, Ferreira T, Jackson AU, Karjalainen J, Lo KS, Locke AE, Mägi R, Mihailov E, Porcu E, Randall JC, Scherag A, Vinkhuyzen AA, Winkler TW, Workalemahu T, Zhao JH, Absher D, Albrecht E, Anderson D, Baron J, Beekman M, Demirkan A, Ehret GB, Feenstra B, Feitosa MF, Fischer K, Fraser RM, Goel A, Gong J, Justice E, Kanoni S, Kleber ME, Kristiansson K, Lim U, Lotay V, Mangino M, Mateo Leach I, Medina Gomez C, Nalls MA, Nyholt DR, Palmer CD, Pasko D, Pechlivanis S, Prokopenko I, Ried JS, Ripke S, Shungin D, Stancáková A, Strawbridge RJ, Sung YJ, Tanaka T, Teumer A, Trompet S, van der Laan SW, van Setten J, Van Vliet Ostaptchouk JV, Wang Z, Yengo L, Zhang W, Afzal U, Ärnlöv J, Arscott GM, Bandinelli S, Barrett A, Bellis C, Bennett AJ, Berne C, Blüher M, Bolton JL, Böttcher Y, Boyd HA, Bruinenberg M, Buckley BM, Buyske S, Caspersen IH, Chines PS, Clarke R, Claudi Boehm S, Cooper M, Daw EW, De Jong A, Deelen J, Delgado G, Denny JC, Dhonukshe Rutten R, Dimitriou M, Doney AS, Dörr M, Eklund N, Eury E, Folkersen L, Garcia ME, Geller F, Giedraitis V, Go AS, Grallert H, Grammer TB, Gräßler J, Grönberg H, de Groot LC, Groves CJ, Haessler J, Haller T, Hallmans G, Hannemann A, Hartman CA, Hassinen M, Hayward C, Heard Costa NL, Helmer Q, Hemani G, Henders AK, Hillege HL, Hlatky MA, Hoffmann W, Hoffmann P, Holmen O, Houwing Duistermaat JJ, Illig T, Isaacs A, James AL, Jeff J, Johansen B, Johansson Å, Jolley J, Juliusdottir T, Junttila J, Kho AN, Kinnunen L, Klopp N, Kocher T, Kratzer W, Lichtner P, Lind L, Lindström J, Lobbens S, Lorentzon M, Lu Y, Lyssenko V, Magnusson PK, Mahajan A, Maillard M, McArdle WL, McKenzie CA, McLachlan S, McLaren PJ, Menni C, Merger S, Milani L, 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Ferrannini E, Ferrières J, Ford I, Forouhi NG, Forrester T, Gansevoort RT, Gejman PV, Gieger C, Golay A, Gottesman O, Gudnason V, Gyllensten U, Haas DW, Hall AS, Harris TB, Hattersley AT, Heath AC, Hengstenberg C, Hicks AA, Hindorff LA, Hingorani AD, Hofman A, Hovingh GK, Humphries SE, Hunt SC, Hypponen E, Jacobs KB, Jarvelin MR, Jousilahti P, Jula AM, Kaprio J, Kastelein JJ, Kayser M, Kee F, Keinanen Kiukaanniemi SM, Kiemeney LA, Kooner JS, Kooperberg C, Koskinen S, Kovacs P, Kraja AT, Kumari M, Kuusisto J, Lakka TA, Langenberg C, Le Marchand L, Lehtimäki T, Lupoli S, Madden PA, Männistö S, Manunta P, Marette A, Matise TC, McKnight B, Meitinger T, Moll FL, Montgomery GW, Morris AD, Morris AP, Murray JC, Nelis M, Ohlsson C, Oldehinkel AJ, Ong KK, Ouwehand WH, Pasterkamp G, Peters A, Pramstaller PP, Price JF, Qi L, Raitakari OT, Rankinen T, Rao DC, Rice TK, Ritchie M, Rudan I, Salomaa V, Samani NJ, Saramies J, Sarzynski MA, Schwarz PE, Sebert S, Sever P, Shuldiner AR, Sinisalo J, Steinthorsdottir V, Stolk RP, Tardif JC, Tönjes A, Tremblay A, Tremoli E, Virtamo J, Vohl MC, Amouyel P, Asselbergs FW, Assimes TL, Bochud M, Boehm BO, Boerwinkle E, Bottinger EP, Bouchard C, Cauchi S, Chambers JC, Chanock SJ, Cooper RS, de Bakker PI, Dedoussis G, Ferrucci L, Franks PW, Froguel P, Groop LC, Haiman CA, Hamsten A, Hayes MG, Hui J, Hunter DJ, Hveem K, Jukema JW, Kaplan RC, Kivimaki M, Kuh D, Laakso M, Liu Y, Martin NG, März W, Melbye M, Moebus S, Munroe PB, Njølstad I, Oostra BA, Palmer CN, Pedersen NL, Perola M, Pérusse L, Peters U, Powell JE, Power C, Quertermous T, Rauramaa R, Reinmaa E, Ridker PM, Rivadeneira F, Rotter JI, Saaristo TE, Saleheen D, Schlessinger D, Slagboom PE, Snieder H, Spector TD, Strauch K, Stumvoll M, Tuomilehto J, Uusitupa M, van der Harst P, Völzke H, Walker M, Wareham NJ, Watkins H, Wichmann HE, Wilson JF, Zanen P, Deloukas P, Heid IM, Lindgren CM, Mohlke KL, Thorsteinsdottir U, Barroso I, Fox CS, North KE, Strachan DP, Beckmann JS, Berndt SI, Borecki IB, McCarthy MI, Metspalu A, Stefansson K, Uitterlinden AG, van Duijn CM, Willer CJ, Price AL, Lettre G, Loos RJ, Weedon MN, Ingelsson E, O'Connell JR, Abecasis GR, Chasman DI, Goddard ME, Visscher PM, Frayling T.M., Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Stem Cell Aging Leukemia and Lymphoma (SALL), Genetic Investigation of ANthropometric Traits (GIANT) Consortium, Wood, AR., Esko, T., Yang, J., Vedantam, S., Pers, TH., Gustafsson, S., Chu, AY., Estrada, K., Luan£££Jian'an£££ J., Kutalik£££Zoltán£££ Z., Amin, N., Buchkovich, ML., Croteau-Chonka, DC., Day, FR., Duan, Y., Fall, T., Fehrmann, R., Ferreira, T., Jackson, AU., Karjalainen, J., Lo, KS., Locke, AE., Mägi, R., Mihailov, E., Porcu, E., Randall, JC., Scherag, A., Vinkhuyzen, AA., Westra, HJ., Winkler, TW., Workalemahu, T., Zhao, JH., Absher, D., Albrecht, E., Anderson, D., Baron, J., Beekman, M., Demirkan, A., Ehret, GB., Feenstra, B., Feitosa, MF., Fischer, K., Fraser, RM., Goel, A., Gong, J., Justice, E., Kanoni, S., Kleber, ME., Kristiansson, K., Lim, U., Lotay, V., Lui, JC., Mangino, M., Mateo Leach, I., Medina-Gomez, C., Nalls, MA., Nyholt, DR., Palmer, CD., Pasko, D., Pechlivanis, S., Prokopenko, I., Ried, JS., Ripke, S., Shungin, D., Stancáková, A., Strawbridge, RJ., Sung, YJ., Tanaka, T., Teumer, A., Trompet, S., van der Laan SW., van Setten, J., Van Vliet-Ostaptchouk JV., Wang, Z., Yengo£££Loïc£££ L., Zhang, W., Afzal, U., Ärnlöv, J., Arscott, GM., Bandinelli, S., Barrett, A., Bellis, C., Bennett, AJ., Berne, C., Blüher, M., Bolton, JL., Böttcher, Y., Boyd, HA., Bruinenberg, M., Buckley, BM., Buyske, S., Caspersen, IH., Chines, PS., Clarke, R., Claudi-Boehm, S., Cooper, M., Daw, EW., De Jong, A., Deelen, J., Delgado, G., Denny, JC., Dhonukshe-Rutten, R., Dimitriou, M., Doney, AS., Dörr, M., Eklund, N., Eury, E., Folkersen, L., Garcia, ME., Geller, F., Giedraitis, V., Go, AS., Grallert, H., Grammer, TB., Gräßler, J., Grönberg, H., de Groot LC., Groves, CJ., Haessler, J., Haller, T., Hallmans, G., Hannemann, A., Hartman, CA., Hassinen, M., Hayward, C., Heard-Costa, NL., Helmer, Q., Hemani, G., Henders, AK., Hillege, HL., Hlatky, MA., Hoffmann, W., Hoffmann, P., Holmen, O., Houwing-Duistermaat, JJ., Illig, T., Isaacs, A., James, AL., Jeff, J., Johansen, B., Johansson£££Åsa£££ Å., Jolley, J., Juliusdottir, T., Junttila, J., Kho, AN., Kinnunen, L., Klopp, N., Kocher, T., Kratzer, W., Lichtner, P., Lind, L., Lindström, J., Lobbens, S., Lorentzon, M., Lu, Y., Lyssenko, V., Magnusson, PK., Mahajan, A., Maillard, M., McArdle, WL., McKenzie, CA., McLachlan, S., McLaren, PJ., Menni, C., Merger, S., Milani, L., Moayyeri, A., Monda, KL., Morken, MA., Müller, G., Müller-Nurasyid, M., Musk, AW., Narisu, N., Nauck, M., Nolte, IM., Nöthen, MM., Oozageer, L., Pilz, S., Rayner, NW., Renstrom, F., Robertson, NR., Rose, LM., Roussel, R., Sanna, S., Scharnagl, H., Scholtens, S., Schumacher, FR., Schunkert, H., Scott, RA., Sehmi, J., Seufferlein, T., Shi, J., Silventoinen, K., Smit, JH., Smith, AV., Smolonska, J., Stanton, AV., Stirrups, K., Stott, DJ., Stringham, HM., Sundström, J., Swertz, MA., Syvänen, AC., Tayo, BO., Thorleifsson, G., Tyrer, JP., van Dijk, S., van Schoor NM., van der Velde, N., van Heemst, D., van Oort FV., Vermeulen, SH., Verweij, N., Vonk, JM., Waite, LL., Waldenberger, M., Wennauer, R., Wilkens, LR., Willenborg, C., Wilsgaard, T., Wojczynski, MK., Wong, A., Wright, AF., Zhang, Q., Arveiler, D., Bakker, SJ., Beilby, J., Bergman, RN., Bergmann, S., Biffar, R., Blangero, J., Boomsma, I., Bornstein, SR., Bovet, P., Brambilla, P., Brown, MJ., Campbell, H., Caulfield, MJ., Chakravarti, A., Collins, R., Collins, FS., Crawford, DC., Cupples, LA., Danesh, J., de Faire, U., den Ruijter HM., Erbel, R., Erdmann, J., Eriksson, JG., Farrall, M., Ferrannini, E., Ferrières, J., Ford, I., Forouhi, NG., Forrester, T., Gansevoort, RT., Gejman, PV., Gieger, C., Golay, A., Gottesman, O., Gudnason, V., Gyllensten, U., Haas, DW., Hall, AS., Harris, TB., Hattersley, AT., Heath, AC., Hengstenberg, C., Hicks, AA., Hindorff, LA., Hingorani, AD., Hofman, A., Hovingh, GK., Humphries, SE., Hunt, SC., Hypponen, E., Jacobs, KB., Jarvelin, MR., Jousilahti, P., Jula, AM., Kaprio, J., Kastelein, JJ., Kayser, M., Kee, F., Keinanen-Kiukaanniemi, SM., Kiemeney, LA., Kooner, JS., Kooperberg, C., Koskinen, S., Kovacs, P., Kraja, AT., Kumari, M., Kuusisto, J., Lakka, TA., Langenberg, C., Le Marchand, L., Lehtimäki, T., Lupoli, S., Madden, PA., Männistö, S., Manunta, P., Marette, A., Matise, TC., McKnight, B., Meitinger, T., Moll, FL., Montgomery, GW., Morris, AD., Morris, AP., Murray, JC., Nelis, M., Ohlsson, C., Oldehinkel, AJ., Ong, KK., Ouwehand, WH., Pasterkamp, G., Peters, A., Pramstaller, PP., Price, JF., Qi, L., Raitakari, OT., Rankinen, T., Rao, DC., Rice, TK., Ritchie, M., Rudan, I., Salomaa, V., Samani, NJ., Saramies, J., Sarzynski, MA., Schwarz, PE., Sebert, S., Sever, P., Shuldiner, AR., Sinisalo, J., Steinthorsdottir, V., Stolk, RP., Tardif, JC., Tönjes, A., Tremblay, A., Tremoli, E., Virtamo, J., Vohl, MC., Amouyel, P., Asselbergs, FW., Assimes, TL., Bochud, M., Boehm, BO., Boerwinkle, E., Bottinger, EP., Bouchard, C., Cauchi, S., Chambers, JC., Chanock, SJ., Cooper, RS., de Bakker PI., Dedoussis, G., Ferrucci, L., Franks, PW., Froguel, P., Groop, LC., Haiman, CA., Hamsten, A., Hayes, MG., Hui, J., Hunter, DJ., Hveem, K., Jukema, JW., Kaplan, RC., Kivimaki, M., Kuh, D., Laakso, M., Liu, Y., Martin, NG., März, W., Melbye, M., Moebus, S., Munroe, PB., Njølstad, I., Oostra, BA., Palmer, CN., Pedersen, NL., Perola, M., Pérusse, L., Peters, U., Powell, JE., Power, C., Quertermous, T., Rauramaa, R., Reinmaa, E., Ridker, PM., Rivadeneira, F., Rotter, JI., Saaristo, TE., Saleheen, D., Schlessinger, D., Slagboom, PE., Snieder, H., Spector, TD., Strauch, K., Stumvoll, M., Tuomilehto, J., Uusitupa, M., van der Harst, P., Völzke, H., Walker, M., Wareham, NJ., Watkins, H., Wichmann, HE., Wilson, JF., Zanen, P., Deloukas, P., Heid, IM., Lindgren, CM., Mohlke, KL., Speliotes, EK., Thorsteinsdottir, U., Barroso£££Inês£££ I., Fox, CS., North, KE., Strachan, DP., Beckmann, JS., Berndt, SI., Boehnke, M., Borecki, IB., McCarthy, MI., Metspalu, A., Stefansson, K., Uitterlinden, AG., van Duijn CM., Franke, L., Willer, CJ., Price, AL., Lettre, G., Loos, RJ., Weedon, MN., Ingelsson, E., O'Connell, JR., Abecasis, GR., Chasman, DI., Goddard, ME., Visscher, PM., Hirschhorn, JN., Frayling, TM., Clinicum, Jaakko Kaprio / Principal Investigator, Department of Public Health, Institute for Molecular Medicine Finland, Genetic Epidemiology, Pers, T, Karjalainen, J, Chan, Y, Westra, H, Wood, A, Yang, J, Lui, J, Vedantam, S, Gustafsson, S, Esko, T, Frayling, T, Speliotes, E, Boehnke, M, Raychaudhuri, S, Fehrmann, R, Hirschhorn, J, Franke, L, Chu, A, Estrada, K, Luan, J, Kutalik, Z, Amin, N, Buchkovich, M, Croteau Chonka, D, Day, F, Duan, Y, Fall, T, Ferreira, T, Jackson, A, Lo, K, Locke, A, Mägi, R, Mihailov, E, Porcu, E, Randall, J, Scherag, A, Vinkhuyzen, A, Winkler, T, Workalemahu, T, Zhao, J, Absher, D, Albrecht, E, Anderson, D, Baron, J, Beekman, M, Demirkan, A, Ehret, G, Feenstra, B, Feitosa, M, Fischer, K, Fraser, R, Goel, A, Gong, J, Justice, E, Kanoni, S, Kleber, M, Kristiansson, K, Lim, U, Lotay, V, Mangino, M, Mateo Leach, I, Medina Gomez, C, Nalls, M, Nyholt, D, Palmer, C, Pasko, D, Pechlivanis, S, Prokopenko, I, Ried, J, Ripke, S, Shungin, D, Stancáková, A, Strawbridge, R, Sung, Y, Tanaka, T, Teumer, A, Trompet, S, van der Laan, S, van Setten, J, Van Vliet Ostaptchouk, J, Wang, Z, Yengo, L, Zhang, W, Afzal, U, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Bolton, J, Böttcher, Y, Boyd, H, Bruinenberg, M, Buckley, B, Buyske, S, Caspersen, I, Chines, P, Clarke, R, Claudi Boehm, S, Cooper, M, Daw, E, De Jong, A, Deelen, J, Delgado, G, Denny, J, Dhonukshe Rutten, R, Dimitriou, M, Doney, A, Dörr, M, Eklund, N, Eury, E, Folkersen, L, Garcia, M, Geller, F, Giedraitis, V, Go, A, Grallert, H, Grammer, T, Gräßler, J, Grönberg, H, de Groot, L, Groves, C, Haessler, J, Haller, T, Hallmans, G, Hannemann, A, Hartman, C, Hassinen, M, Hayward, C, Heard Costa, N, Helmer, Q, Hemani, G, Henders, A, Hillege, H, Hlatky, M, Hoffmann, W, Hoffmann, P, Holmen, O, Houwing Duistermaat, J, Illig, T, Isaacs, A, James, A, Jeff, J, Johansen, B, Johansson, Å, Jolley, J, Juliusdottir, T, Junttila, J, Kho, A, Kinnunen, L, Klopp, N, Kocher, T, Kratzer, W, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Lu, Y, Lyssenko, V, Magnusson, P, Mahajan, A, Maillard, M, Mcardle, W, Mckenzie, C, Mclachlan, S, Mclaren, P, Menni, C, Merger, S, Milani, L, Moayyeri, A, Monda, K, Morken, M, Müller, G, Müller Nurasyid, M, Musk, A, Narisu, N, Nauck, M, Nolte, I, Nöthen, M, Oozageer, L, Pilz, S, Rayner, N, Renstrom, F, Robertson, N, Rose, L, Roussel, R, Sanna, S, Scharnagl, H, Scholtens, S, Schumacher, F, Schunkert, H, Scott, R, Sehmi, J, Seufferlein, T, Shi, J, Silventoinen, K, Smit, J, Smith, A, Smolonska, J, Stanton, A, Stirrups, K, Stott, D, Stringham, H, Sundström, J, Swertz, M, Syvänen, A, Tayo, B, Thorleifsson, G, Tyrer, J, van Dijk, S, van Schoor, N, van der Velde, N, van Heemst, D, van Oort, F, Vermeulen, S, Verweij, N, Vonk, J, Waite, L, Waldenberger, M, Wennauer, R, Wilkens, L, Willenborg, C, Wilsgaard, T, Wojczynski, M, Wong, A, Wright, A, Zhang, Q, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Bergmann, S, Biffar, R, Blangero, J, Boomsma, I, Bornstein, S, Bovet, P, Brambilla, P, Brown, M, Campbell, H, Caulfield, M, Chakravarti, A, Collins, R, Collins, F, Crawford, D, Cupples, L, Danesh, J, de Faire, U, den Ruijter, H, Erbel, R, Erdmann, J, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Ford, I, Forouhi, N, Forrester, T, Gansevoort, R, Gejman, P, Gieger, C, Golay, A, Gottesman, O, Gudnason, V, Gyllensten, U, Haas, D, Hall, A, Harris, T, Hattersley, A, Heath, A, Hengstenberg, C, Hicks, A, Hindorff, L, Hingorani, A, Hofman, A, Hovingh, G, Humphries, S, Hunt, S, Hypponen, E, Jacobs, K, Jarvelin, M, Jousilahti, P, Jula, A, Kaprio, J, Kastelein, J, Kayser, M, Kee, F, Keinanen Kiukaanniemi, S, Kiemeney, L, Kooner, J, Kooperberg, C, Koskinen, S, Kovacs, P, Kraja, A, Kumari, M, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lupoli, S, Madden, P, Männistö, S, Manunta, P, Marette, A, Matise, T, Mcknight, B, Meitinger, T, Moll, F, Montgomery, G, Morris, A, Murray, J, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Ouwehand, W, Pasterkamp, G, Peters, A, Pramstaller, P, Price, J, Qi, L, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Sebert, S, Sever, P, Shuldiner, A, Sinisalo, J, Steinthorsdottir, V, Stolk, R, Tardif, J, Tönjes, A, Tremblay, A, Tremoli, E, Virtamo, J, Vohl, M, Amouyel, P, Asselbergs, F, Assimes, T, Bochud, M, Boehm, B, Boerwinkle, E, Bottinger, E, Bouchard, C, Cauchi, S, Chambers, J, Chanock, S, Cooper, R, de Bakker, P, Dedoussis, G, Ferrucci, L, Franks, P, Froguel, P, Groop, L, Haiman, C, Hamsten, A, Hayes, M, Hui, J, Hunter, D, Hveem, K, Jukema, J, Kaplan, R, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, Martin, N, März, W, Melbye, M, Moebus, S, Munroe, P, Njølstad, I, Oostra, B, Pedersen, N, Perola, M, Pérusse, L, Peters, U, Powell, J, Power, C, Quertermous, T, Rauramaa, R, Reinmaa, E, Ridker, P, Rivadeneira, F, Rotter, J, Saaristo, T, Saleheen, D, Schlessinger, D, Slagboom, P, Snieder, H, Spector, T, Strauch, K, Stumvoll, M, Tuomilehto, J, Uusitupa, M, van der Harst, P, Völzke, H, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Wilson, J, Zanen, P, Deloukas, P, Heid, I, Lindgren, C, Mohlke, K, Thorsteinsdottir, U, Barroso, I, Fox, C, North, K, Strachan, D, Beckmann, J, Berndt, S, Borecki, I, Mccarthy, M, Metspalu, A, Stefansson, K, Uitterlinden, A, van Duijn, C, Willer, C, Price, A, Lettre, G, Loos, R, Weedon, M, Ingelsson, E, O'Connell, J, Abecasis, G, Chasman, D, Goddard, M, Visscher, P, APH - Amsterdam Public Health, AMS - Amsterdam Movement Sciences, Geriatrics, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Pers, Th, Karjalainen, Jm, Westra, Hj, Wood, Ar, Lui, Jc, Speliotes, Ek, Hirschhorn, Jn, and Faculty of Health Sciences
Subjects: Cell type, Candidate gene, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, LOCI, General Physics and Astronomy, Genome-wide association study, Disease, Computational biology, Biology, Research Support, General Biochemistry, Genetics and Molecular Biology, Article, DISEASE, N.I.H, CANDIDATE GENES, Genome-Wide Association Study/methods, Software, HEIGHT, Research Support, N.I.H., Extramural, Genetics, Journal Article, NETWORK, Non-U.S. Gov't, Gene, COMMON, Intramural, ARCHITECTURE, Biochemistry, Genetics and Molecular Biology (all), Multidisciplinary, IDENTIFICATION, ta1184, Research Support, Non-U.S. Gov't, Gene sets, Extramural, General Chemistry, ta3121, Research Support, N.I.H., Intramural, Phenotype, 3142 Public health care science, environmental and occupational health, Biological sciences, DATA SETS, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], Identification (biology), INTEGRATION, Genome-Wide Association Study
Abstract: Article, The main challenge for gaining biological insights from genetic associations is identifying which genes and pathways explain the associations. Here we present DEPICT, an integrative tool that employs predicted gene functions to systematically prioritize the most likely causal genes at associated loci, highlight enriched pathways and identify tissues/cell types where genes from associated loci are highly expressed. DEPICT is not limited to genes with established functions and prioritizes relevant gene sets for many phenotypes., published version, http://purl.org/eprint/status/PeerReviewed
Published: 2015

11. Physical and neurobehavioral determinants of reproductive onset and success

Author: Day, FR, Helgason, H, Chasman, DI, Rose, LM, Loh, P-R, Scott, RA, Helgason, A, Kong, A, Masson, G, Magnusson, OT, Gudbjartsson, D, Thorsteinsdottir, U, Buring, JE, Ridker, PM, Sulem, P, Stefansson, K, Ong, KK, Perry, JRB, Day, Felix [0000-0003-3789-7651], Ong, Kenneth [0000-0003-4689-7530], Perry, John [0000-0001-6483-3771], and Apollo - University of Cambridge Repository
Subjects: Adult, Male, Behavior, Adolescent, Sexual Behavior, Puberty, Age Factors, Coitus, Estrogen Receptor alpha, Membrane Proteins, RNA-Binding Proteins, Nerve Tissue Proteins, Young Adult, Methionine Sulfoxide Reductases, Humans, Female, Cell Adhesion Molecules, Genome-Wide Association Study
Abstract: The ages of puberty, first sexual intercourse and first birth signify the onset of reproductive ability, behavior and success, respectively. In a genome-wide association study of 125,667 UK Biobank participants, we identify 38 loci associated (P < 5 × 10(-8)) with age at first sexual intercourse. These findings were taken forward in 241,910 men and women from Iceland and 20,187 women from the Women's Genome Health Study. Several of the identified loci also exhibit associations (P < 5 × 10(-8)) with other reproductive and behavioral traits, including age at first birth (variants in or near ESR1 and RBM6-SEMA3F), number of children (CADM2 and ESR1), irritable temperament (MSRA) and risk-taking propensity (CADM2). Mendelian randomization analyses infer causal influences of earlier puberty timing on earlier first sexual intercourse, earlier first birth and lower educational attainment. In turn, likely causal consequences of earlier first sexual intercourse include reproductive, educational, psychiatric and cardiometabolic outcomes.
Published: 2016

12. Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair

Author: Day, FR, Ruth, KS, Thompson, DJ, Lunetta, KL, Pervjakova, N, Chasman, DI, Stolk, L, Finucane, HK, Sulem, P, Bulik-Sullivan, B, Esko, T, Johnson, AD, Elks, CE, Franceschini, N, He, C, Altmaier, E, Brody, JA, Franke, LL, EHuffman, J, Keller, MF, McArdle, PF, Nutile, T, Porcu, E, Robino, A, Rose, LM, Schick, UM, Smith, JA, Teumer, A, Traglia, M, Vuckovic, D, Yao, J, Zhao, W, Albrecht, E, Amin, N, Corre, T, Hottenga, JJ, Mangino, M, Smith, AV, Tanaka, T, Abecasis, GR, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Arndt, V, Arnold, AM, Barbieri, C, Beckmann, MW, Beeghly-Fadiel, A, Benitez, J, Bernstein, L, Bielinski, SJ, Blomqvist, C, Boerwinkle, E, Bogdanova, NV, Bojesen, SE, Bolla, MK, Borresen-Dale, AL, Boutin, TS, Brauch, H, Brenner, H, Brüning, T, Burwinkel, B, Campbell, A, Campbell, H, Chanock, SJ, Chapman, JR, Chen, YDI, Chenevix-Trench, G, and Couch, FJ
Abstract: © 2015 Nature America, Inc. Menopause timing has a substantial impact on infertility and risk of disease, including breast cancer, but the underlying mechanisms are poorly understood. We report a dual strategy in -1/470,000 women to identify common and low-frequency protein-coding variation associated with age at natural menopause (ANM). We identified 44 regions with common variants, including two regions harboring additional rare missense alleles of large effect. We found enrichment of signals in or near genes involved in delayed puberty, highlighting the first molecular links between the onset and end of reproductive lifespan. Pathway analyses identified major association with DNA damage response (DDR) genes, including the first common coding variant in BRCA1 associated with any complex trait. Mendelian randomization analyses supported a causal effect of later ANM on breast cancer risk (-1/46% increase in risk per year; P = 3 × 10 -14), likely mediated by prolonged sex hormone exposure rather than DDR mechanisms.
Published: 2015

13. New genetic loci link adipose and insulin biology to body fat distribution

Author: Shungin, D, Winkler, TW, Croteau-Chonka, DC, Ferreira, T, Locke, AE, Mägi, R, Strawbridge, RJ, Pers, TH, Fischer, K, Justice, AE, Workalemahu, T, Wu, JMW, Buchkovich, ML, Heard-Costa, NL, Roman, TS, Drong, AW, Song, C, Gustafsson, S, Day, FR, Esko, T, Fall, T, Kutalik, Z, Luan, J, Randall, JC, Scherag, A, Vedantam, S, Wood, AR, Chen, J, Fehrmann, R, Karjalainen, J, Kahali, B, Liu, CT, Schmidt, EM, Absher, D, Amin, N, Anderson, D, Beekman, M, Bragg-Gresham, JL, Buyske, S, Demirkan, A, Ehret, GB, Feitosa, MF, Goel, A, Jackson, AU, Johnson, T, Kleber, ME, Kristiansson, K, Mangino, M, Leach, IM, Medina-Gomez, C, Palmer, CD, Pasko, D, Pechlivanis, S, Peters, MJ, Prokopenko, I, Stančáková, A, Sung, YJ, Tanaka, T, Teumer, A, Van Vliet-Ostaptchouk, JV, Yengo, L, Zhang, W, Albrecht, E, Ärnlöv, J, Arscott, GM, Bandinelli, S, Barrett, A, Bellis, C, Bennett, AJ, Berne, C, Blüher, M, Böhringer, S, Bonnet, F, Böttcher, Y, Bruinenberg, M, Carba, DB, Caspersen, IH, Clarke, R, Daw, EW, Deelen, J, Deelman, E, Delgado, G, Doney, AS, Eklund, N, Erdos, MR, Estrada, K, Eury, E, Friedrich, N, Garcia, ME, Giedraitis, V, Gigante, B, Go, AS, Golay, A, Grallert, H, Grammer, TB, Gräßler, J, Grewal, J, Groves, CJ, Haller, T, and Hallmans, G
Subjects: Male, ReproGen Consortium, Transcription, Genetic, Cardiovascular, Epigenesis, Genetic, Body Mass Index, PAGE Consortium, Models, Adipocytes, 2.1 Biological and endogenous factors, Insulin, Body Fat Distribution, Aetiology, Sex Characteristics, Genome, Adipogenesis, Continental Population Groups, Diabetes, Age Factors, CARDIOGRAMplusC4D Consortium, Single Nucleotide, Stroke, Europe, Adipose Tissue, GEFOS Consortium, Female, ADIPOGen Consortium, Transcription, Human, General Science & Technology, ICBP, Quantitative Trait Loci, Neovascularization, Physiologic, Polymorphism, Single Nucleotide, Models, Biological, GENIE Consortium, MAGIC Investigators, Genetic, Genetics, Humans, Obesity, Polymorphism, Physiologic, Metabolic and endocrine, Neovascularization, Nutrition, Genome, Human, Waist-Hip Ratio, CKDGen Consortium, Racial Groups, Human Genome, Biological, MuTHER Consortium, GLGC, International Endogene Consortium, Insulin Resistance, LifeLines Cohort Study, Epigenesis, Genome-Wide Association Study
Abstract: © 2015, Macmillan Publishers Limited. All rights reserved. Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, we conducted genome-wide association meta-analyses of waist and hip circumference-related traits in up to 224,459 individuals. We identified 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (WHRadjBMI) and an additional 19 loci newly associated with related waist and hip circumference measures (P
Published: 2015

14. Large-Scale Genomic Analyses Link Reproductive Aging to Hypothalamic Signaling, Breast Cancer Susceptibility, and BRCA1-Mediated DNA Repair EDITORIAL COMMENT

Author: Day, FR, Ruth, KS, Thompson, DJ, Lunetta, KL, Pervjakova, N, Chasman, DI, Stolk, Lisette, Finucane, HK, Sulem, P, Bulik-Sullivan, B, Esko, T, Johnson, AD, Elks, CE, Franceschini, N, He, C, Altmaier, E, Brody, JA, Franke, LL, Huffman, JE, Keller, MF, McArdle, PF, Nutile, T, Porcu, E, Robino, A, Rose, LM, Schick, UM, Smith, JA, Teumer, A, Traglia, M, Vuckovic, D, Yao, J, Zhao, W, Albrecht, E, Amin, Najaf, Corre, T, Hottenga, JJ (Jouke Jan), Mangino, M, Smith, AV, Tanaka, T, Abecasis, GR, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Arndt, V, Arnold, AM, Barbieri, C, Beckmann, MW, Beeghly-Fadiel, A, Benitez, J, Bernstein, L, Bielinski, SJ, Blomqvist, C, Boerwinkle, E, Bogdanova, NV, Bojesen, SE, Bolla, MK, Borresen-Dale, AL, Boutin, TS, Brauch, H, Brenner, H, Bruning, T, Burwinkel, B, Campbell, A (Archie), Campbell, H, Chanock, SJ, Chapman, JR, Chen, YDI, Chenevix-Trench, G, Couch, FJ, Coviello, AD, Cox, A, Czene, K, Darabi, H, de Vivo, I, Demerath, EW, Dennis, J, Devilee, P, Dork, T, dos-Santos-Silva, I, Dunning, AM, Eicher, JD, Fasching, PA, Faul, JD, Figueroa, J, Flesch-Janys, D, Gandin, I, Garcia, ME, Garcia-Closas, M, Giles, GG, Girotto, GG, Goldberg, MS, Gonzalez-Neira, A, Goodarzi, MO, Grove, ML, Gudbjartsson, DF, Guenel, P, Guo, XQ, Haiman, CA, Hall, P, Hamann, U, Henderson, BE, Hocking, LJ, Hofman, Bert, Homuth, G, Hooning, Maartje, Hopper, JL, Hu, FB, Huang, JY, Humphreys, K, Hunter, DJ, Jakubowska, A, Jones, SE, Kabisch, M, Karasik, D, Knight, JA, Kolcic, I, Kooperberg, C, Kosma, VM, Kriebel, J, Kristensen, V, Lambrechts, D, Langenberg, C, Li, JM, Li, X, Lindstrom, S, Liu, YM, Luan, JA, Lubinski, J, Magi, R, Mannermaa, A, Manz, J, Margolin, S, Marten, J, Martin, NG, Masciullo, C, Meindl, A, Michailidou, K, Mihailov, E, Milani, L, Milne, RL, Muller-Nurasyid, M, Nalls, M, Neale, BM, Nevanlinna, H, Neven, P, Newman, AB, Nordestgaard, BG, Olson, JE, Padmanabhan, S, Peterlongo, P, Peters, U, Petersmann, A, Peto, J, Pharoah, PDP, Pirastu, NN, Pirie, A, Pistis, G, Polasek, O, Porteous, D, Psaty, BM, Pylkas, K, Radice, P, Raffel, LJ, Rivadeneira, Fernando, Rudan, I, Rudolph, A, Ruggiero, D, Sala, CF, Sanna, S, Sawyer, EJ, Schlessinger, D, Schmidt, MK (Marjanka), Schmidt, F, Schmutzler, RK, Schoemaker, MJ, Scott, RA, Seynaeve, Caroline, Simard, J, Sorice, R, Southey, MC, Stockl, D, Strauch, K, Swerdlow, A, Taylor, KD, Thorsteinsdottir, U, Toland, AE, Tomlinson, I, Truong, T, Tryggvadottir, L, Turner, ST, Vozzi, D, Wang, Q (Qing), Wellons, M, Willemsen, G, Wilson, JF, Winqvist, R, Wolffenbuttel, BBHR, Wright, AF, Yannoukakos, D, Zemunik, T, Zheng, W, Zygmunt, M, Bergmann, S, Boomsma, DI, Buring, JE, Ferrucci, L, Montgomery, GW, Gudnason, V, Spector, TD, Duijn, Cornelia, Alizadeh, BZ, Ciullo, M, Crisponi, L, Easton, DF, Gasparini, PP, Gieger, C, Harris, TB, Hayward, C, Kardia, SLR, Kraft, P, McKnight, B, Metspalu, A, Morrison, AC, Reiner, AP, Ridker, PM, Rotter, JI, Toniolo, D, Uitterlinden, André, Ulivi, S, Volzke, H, Wareham, NJ, Weir, DR, Yerges-Armstrong, LM, Price, AL, Stefansson, K, Visser, Jenny, Ong, KK, Chang-Claude, J, Murabito, JM, Perry, JRB, Murray, A, Systems Ecology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, Internal Medicine, Epidemiology, Medical Oncology, and Clinical Genetics
Subjects: SDG 3 - Good Health and Well-being
Published: 2015

15. Genome-wide meta-analysis uncovers novel loci influencing circulating leptin levels

Author: Kilpelainen, TO, Carli, J F M, Skowronski, A A, Sun, Q, Kriebel, J, Feitosa, MF, Hedman, AK, Drong, AW, Hayes, J E, Zhao, JH, Pers, TH, Schick, U, Grarup, N, Kutalik, Z, Trompet, S, Mangino, M, Kristiansson, K, Beekman, M, Lyytikainen, LP, Eriksson, J, Henneman, Peter, Lahti, J, Tanaka, T, Luan, JA, Del Greco, F, Pasko, D, Renstrom, F, Willems, SM, Mahajan, A, Rose, LM, Guo, XQ, Liu, YM, Kleber, ME, Perusse, L, Gaunt, T, Ahluwalia, TS, Sung, YJ, Ramos, YF, Amin, Najaf, Amuzu, A, Barroso, I, Bellis, C, Blangero, J, Buckley, BM, Bohringer, S, Chen, YDI, de Craen, A J N, Crosslin, DR, Dale, CE, Dastani, Z, Day, FR, Deelen, J, Delgado, GE, Demirkan, Ayse, Finucane, FM, Ford, I, Garcia, ME, Gieger, C, Gustafsson, S, Hallmans, G, Hankinson, SE, Havulinna, AS, Herder, Cindy, Hernandez, D, Hicks, AA, Hunter, DJ, Illig, T, Ingelsson, E, Ioan-Facsinay, A, Jansson, JO, Jenny, NS, Jorgensen, ME, Jorgensen, T, Karlsson, M, Koenig, W, Kraft, P, Kwekkeboom, J, Laatikainen, T, Ladwig, KH, LeDuc, C A, Lowe, G, Lu, YC, Marques-Vidal, P, Meisinger, C, Menni, C, Morris, AP, Myers, RH, Mannisto, S, Nalls, MA, Paternoster, L, Peters, A, Pradhan, A D, Rankinen, T, Rasmussen-Torvik, LJ, Rathmann, W, Rice, TK, Richards, JB, Ridker, PM, Sattar, N, Savage, DB, Soderberg, S, Timpson, NJ, Vandenput, L, van Heemst, D, Uh, HW, Vohl, MC, Walker, M, Wichmann, HE, Widen, E, Wood, AR, Yao, J, Zeller, T, Zhang, YY, Meulenbelt, I, Kloppenburg, M, Astrup, A, Sorensen, TIA, Sarzynski, MA, Rao, DC, Jousilahti, P, Vartiainen, E, Hofman, Bert, Rivadeneira, Fernando, Uitterlinden, André, Kajantie, E, Osmond, C, Palotie, A, Eriksson, JG, Heliovaara, M, Knekt, PB, Koskinen, S, Jula, A, Perola, M, Huupponen, R K, Viikari, JS, Kahonen, M, Lehtimaki, T, Raitakari, OT, Mellstrom, D, Lorentzon, M, Casas, JP, Bandinelli, S, Marz, W, Isaacs, Aaron, van Dijk, KW, Duijn, Cornelia, Harris, TB, Bouchard, C, Allison, MA, Chasman, DI, Ohlsson, C, Lind, L, Scott, RA, Langenberg, C, Wareham, NJ, Ferrucci, L, Frayling, TM, Pramstaller, PP, Borecki, IB, Waterworth, DM, Bergmann, S, Waeber, G, Vollenweider, P, Vestergaard, H, Hansen, T, Pedersen, O, Hu, FB, Slagboom, PE (Eline), Grallert, H, Spector, TD, Jukema, JW, Klein, RJ, Schadt, EE, Franks, PW, Lindgren, CM, Leibel, R L, Loos, RJF, Kilpelainen, TO, Carli, J F M, Skowronski, A A, Sun, Q, Kriebel, J, Feitosa, MF, Hedman, AK, Drong, AW, Hayes, J E, Zhao, JH, Pers, TH, Schick, U, Grarup, N, Kutalik, Z, Trompet, S, Mangino, M, Kristiansson, K, Beekman, M, Lyytikainen, LP, Eriksson, J, Henneman, Peter, Lahti, J, Tanaka, T, Luan, JA, Del Greco, F, Pasko, D, Renstrom, F, Willems, SM, Mahajan, A, Rose, LM, Guo, XQ, Liu, YM, Kleber, ME, Perusse, L, Gaunt, T, Ahluwalia, TS, Sung, YJ, Ramos, YF, Amin, Najaf, Amuzu, A, Barroso, I, Bellis, C, Blangero, J, Buckley, BM, Bohringer, S, Chen, YDI, de Craen, A J N, Crosslin, DR, Dale, CE, Dastani, Z, Day, FR, Deelen, J, Delgado, GE, Demirkan, Ayse, Finucane, FM, Ford, I, Garcia, ME, Gieger, C, Gustafsson, S, Hallmans, G, Hankinson, SE, Havulinna, AS, Herder, Cindy, Hernandez, D, Hicks, AA, Hunter, DJ, Illig, T, Ingelsson, E, Ioan-Facsinay, A, Jansson, JO, Jenny, NS, Jorgensen, ME, Jorgensen, T, Karlsson, M, Koenig, W, Kraft, P, Kwekkeboom, J, Laatikainen, T, Ladwig, KH, LeDuc, C A, Lowe, G, Lu, YC, Marques-Vidal, P, Meisinger, C, Menni, C, Morris, AP, Myers, RH, Mannisto, S, Nalls, MA, Paternoster, L, Peters, A, Pradhan, A D, Rankinen, T, Rasmussen-Torvik, LJ, Rathmann, W, Rice, TK, Richards, JB, Ridker, PM, Sattar, N, Savage, DB, Soderberg, S, Timpson, NJ, Vandenput, L, van Heemst, D, Uh, HW, Vohl, MC, Walker, M, Wichmann, HE, Widen, E, Wood, AR, Yao, J, Zeller, T, Zhang, YY, Meulenbelt, I, Kloppenburg, M, Astrup, A, Sorensen, TIA, Sarzynski, MA, Rao, DC, Jousilahti, P, Vartiainen, E, Hofman, Bert, Rivadeneira, Fernando, Uitterlinden, André, Kajantie, E, Osmond, C, Palotie, A, Eriksson, JG, Heliovaara, M, Knekt, PB, Koskinen, S, Jula, A, Perola, M, Huupponen, R K, Viikari, JS, Kahonen, M, Lehtimaki, T, Raitakari, OT, Mellstrom, D, Lorentzon, M, Casas, JP, Bandinelli, S, Marz, W, Isaacs, Aaron, van Dijk, KW, Duijn, Cornelia, Harris, TB, Bouchard, C, Allison, MA, Chasman, DI, Ohlsson, C, Lind, L, Scott, RA, Langenberg, C, Wareham, NJ, Ferrucci, L, Frayling, TM, Pramstaller, PP, Borecki, IB, Waterworth, DM, Bergmann, S, Waeber, G, Vollenweider, P, Vestergaard, H, Hansen, T, Pedersen, O, Hu, FB, Slagboom, PE (Eline), Grallert, H, Spector, TD, Jukema, JW, Klein, RJ, Schadt, EE, Franks, PW, Lindgren, CM, Leibel, R L, and Loos, RJF
Published: 2016

16. y New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk

Author: Lu, YC, Day, FR, Gustafsson, S, Buchkovich, ML, Na, JB, Bataille, V, Cousminer, DL, Dastani, Z, Drong, AW, Esko, T, Evans, DM, Falchi, M, Feitosa, MF, Ferreira, T, Hedman, AK, Haring, R, Hysi, PG, Iles, MM, Justice, AE, Kanoni, S, Lagou, V, Li, R, Li, X, Locke, A, Lu, C, Magi, R, Perry, JRB, Pers, TH, Qi, QB, Sanna, M, Schmidt, EM, Scott, WR, Shungin, D, Teumer, A, Vinkhuyzen, AAE, Walker, RW, Westra, HJ, Zhang, MF, Zhang, WH, Zhao, JH, Zhu, ZH, Afzal, U, Ahluwalia, TS, Bakker, SJL, Bellis, C, Bonnefond, A, Borodulin, K, Buchman, AS, Cederholm, T, Choh, AC, Choi, HJ, Curran, JE, de Groot, LCPGM (Lisette), De Jager, PL, Dhonukshe-Rutten, RAM, Enneman, Anke, Eury, E, Evans, DS, Forsen, T, Friedrich, N, Fumeron, F, Garcia, ME, Gartner, S, Han, BG, Havulinna, AS, Hayward, C, Hernandez, D, Hillege, H, Ittermann, T, Kent, JW, Kolcic, I, Laatikainen, T, Lahti, J, Leach, IM, Lee, CG, Lee, JY, Liu, T, Liu, YF, Lobbens, S, Loh, M, Lyytikainen, LP, Medina-Gomez, C, Michaelsson, K, Nalls, MA, Nielson, CM, Oozageer, L, Pascoe, L, Paternoster, L, Polasek, O, Ripatti, S, Sarzynski, MA, Shin, CS, Narancic, NS, Spira, D, Srikanth, P, Steinhagen-Thiessen, E, Sung, YJ, Swart, KMA, Taittonen, L, Tanaka, T, Tikkanen, E, van der Velde, Nathalie, Schoor, NM, Verweij, N (Niek), Wright, AF, Yu, L, Zmuda, JM, Eklund, N, Forrester, T, Grarup, N, Jackson, AU, Kristiansson, K, Kuulasmaa, T, Kuusisto, J, Lichtner, P, Luan, JA, Mahajan, A, Mannisto, S, Palmer, CD, Ried, JS, Scott, RA, Stancakova, A, Wagner, PJ, Demirkan, Ayse, Doring, A, Gudnason, V, Kiel, DP, Kuhnel, B, Mangino, M, McKnight, B, Menni, C, O'Connell, JR, Oostra, Ben, Shuldiner, AR, Song, KJ, Vandenput, L, Duijn, Cornelia, Vollenweider, P, White, CC, Boehnke, M, Boettcher, Y, Cooper, RS, Forouhi, NG, Gieger, C, Grallert, H, Hingorani, A, Jorgensen, T, Jousilahti, P, Kivimaki, M, Kumari, M, Laakso, M, Langenberg, C, Linneberg, A, Luke, A, McKenzie, CA, Palotie, A, Pedersen, O, Peters, A, Strauch, K, Tayo, BO, Wareham, NJ, Bennett, DA, Bertram, L, Blangero, J, Bluher, M, Bouchard, C, Campbell, H, Cho, NH, Cummings, SR, Czerwinski, SA, Demuth, I, Eckardt, R, Eriksson, JG, Ferrucci, L, Franco Duran, OH, Froguel, P, Gansevoort, RT, Hansen, T, Harris, TB, Hastie, N, Heliovaara, M, Hofman, Bert, Jordan, JM, Jula, A, Kahonen, M, Kajantie, E, Knekt, PB, Koskinen, S, Kovacs, P, Lehtimaki, T, Lind, L, Liu, YM, Orwoll, ES, Osmond, C, Perola, M, Perusse, L, Raitakari, OT, Rankinen, T, Rao, DC, Rice, TK, Rivadeneira, Fernando, Rudan, I, Salomaa, V, Sorensen, TIA, Stumvoll, M, Tonjes, A, Towne, B, Tranah, GJ, Tremblay, A, Uitterlinden, André, van der Harst, P, Vartiainen, E, Viikari, JS, Vitart, V, Vohl, MC, Volzke, H, Walker, M, Wallaschofski, H, Wild, S, Wilson, JF, Yengo, L, Bishop, DT, Borecki, IB, Chambers, JC, Cupples, LA, Dehghan, Abbas, Deloukas, P, Fatemifar, G, Fox, C, Furey, TS, Franke, L, Han, JL, Hunter, DJ, Karjalainen, J, Karpe, F, Kaplan, RC, Kooner, JS, McCarthy, MI, Murabito, JM, Morris, AP, Bishop, JAN, North, KE, Ohlsson, C, Ong, KK, Prokopenko, I, Richards, JB, Schadt, EE, Spector, TD, Widen, E, Willer, CJ, Yang, Jiaqi, Ingelsson, E, Mohlke, KL, Hirschhorn, JN, Pospisilik, JA, Zillikens, M.C., Lindgren, C, Kilpelainen, TO, Loos, RJF, Lu, YC, Day, FR, Gustafsson, S, Buchkovich, ML, Na, JB, Bataille, V, Cousminer, DL, Dastani, Z, Drong, AW, Esko, T, Evans, DM, Falchi, M, Feitosa, MF, Ferreira, T, Hedman, AK, Haring, R, Hysi, PG, Iles, MM, Justice, AE, Kanoni, S, Lagou, V, Li, R, Li, X, Locke, A, Lu, C, Magi, R, Perry, JRB, Pers, TH, Qi, QB, Sanna, M, Schmidt, EM, Scott, WR, Shungin, D, Teumer, A, Vinkhuyzen, AAE, Walker, RW, Westra, HJ, Zhang, MF, Zhang, WH, Zhao, JH, Zhu, ZH, Afzal, U, Ahluwalia, TS, Bakker, SJL, Bellis, C, Bonnefond, A, Borodulin, K, Buchman, AS, Cederholm, T, Choh, AC, Choi, HJ, Curran, JE, de Groot, LCPGM (Lisette), De Jager, PL, Dhonukshe-Rutten, RAM, Enneman, Anke, Eury, E, Evans, DS, Forsen, T, Friedrich, N, Fumeron, F, Garcia, ME, Gartner, S, Han, BG, Havulinna, AS, Hayward, C, Hernandez, D, Hillege, H, Ittermann, T, Kent, JW, Kolcic, I, Laatikainen, T, Lahti, J, Leach, IM, Lee, CG, Lee, JY, Liu, T, Liu, YF, Lobbens, S, Loh, M, Lyytikainen, LP, Medina-Gomez, C, Michaelsson, K, Nalls, MA, Nielson, CM, Oozageer, L, Pascoe, L, Paternoster, L, Polasek, O, Ripatti, S, Sarzynski, MA, Shin, CS, Narancic, NS, Spira, D, Srikanth, P, Steinhagen-Thiessen, E, Sung, YJ, Swart, KMA, Taittonen, L, Tanaka, T, Tikkanen, E, van der Velde, Nathalie, Schoor, NM, Verweij, N (Niek), Wright, AF, Yu, L, Zmuda, JM, Eklund, N, Forrester, T, Grarup, N, Jackson, AU, Kristiansson, K, Kuulasmaa, T, Kuusisto, J, Lichtner, P, Luan, JA, Mahajan, A, Mannisto, S, Palmer, CD, Ried, JS, Scott, RA, Stancakova, A, Wagner, PJ, Demirkan, Ayse, Doring, A, Gudnason, V, Kiel, DP, Kuhnel, B, Mangino, M, McKnight, B, Menni, C, O'Connell, JR, Oostra, Ben, Shuldiner, AR, Song, KJ, Vandenput, L, Duijn, Cornelia, Vollenweider, P, White, CC, Boehnke, M, Boettcher, Y, Cooper, RS, Forouhi, NG, Gieger, C, Grallert, H, Hingorani, A, Jorgensen, T, Jousilahti, P, Kivimaki, M, Kumari, M, Laakso, M, Langenberg, C, Linneberg, A, Luke, A, McKenzie, CA, Palotie, A, Pedersen, O, Peters, A, Strauch, K, Tayo, BO, Wareham, NJ, Bennett, DA, Bertram, L, Blangero, J, Bluher, M, Bouchard, C, Campbell, H, Cho, NH, Cummings, SR, Czerwinski, SA, Demuth, I, Eckardt, R, Eriksson, JG, Ferrucci, L, Franco Duran, OH, Froguel, P, Gansevoort, RT, Hansen, T, Harris, TB, Hastie, N, Heliovaara, M, Hofman, Bert, Jordan, JM, Jula, A, Kahonen, M, Kajantie, E, Knekt, PB, Koskinen, S, Kovacs, P, Lehtimaki, T, Lind, L, Liu, YM, Orwoll, ES, Osmond, C, Perola, M, Perusse, L, Raitakari, OT, Rankinen, T, Rao, DC, Rice, TK, Rivadeneira, Fernando, Rudan, I, Salomaa, V, Sorensen, TIA, Stumvoll, M, Tonjes, A, Towne, B, Tranah, GJ, Tremblay, A, Uitterlinden, André, van der Harst, P, Vartiainen, E, Viikari, JS, Vitart, V, Vohl, MC, Volzke, H, Walker, M, Wallaschofski, H, Wild, S, Wilson, JF, Yengo, L, Bishop, DT, Borecki, IB, Chambers, JC, Cupples, LA, Dehghan, Abbas, Deloukas, P, Fatemifar, G, Fox, C, Furey, TS, Franke, L, Han, JL, Hunter, DJ, Karjalainen, J, Karpe, F, Kaplan, RC, Kooner, JS, McCarthy, MI, Murabito, JM, Morris, AP, Bishop, JAN, North, KE, Ohlsson, C, Ong, KK, Prokopenko, I, Richards, JB, Schadt, EE, Spector, TD, Widen, E, Willer, CJ, Yang, Jiaqi, Ingelsson, E, Mohlke, KL, Hirschhorn, JN, Pospisilik, JA, Zillikens, M.C., Lindgren, C, Kilpelainen, TO, and Loos, RJF
Abstract: To increase our understanding of the genetic basis of adiposity and its links to cardiometabolic disease risk, we conducted a genome-wide association meta-analysis of body fat percentage (BF%) in up to 100,716 individuals. Twelve loci reached genome-wide significance (P < 5 x 10(-8)), of which eight were previously associated with increased overall adiposity (BMI, BF%) and four (in or near COBLL1/GRB14, IGF2BP1, PLA2G6, CRTC1) were novel associations with BF%. Seven loci showed a larger effect on BF% than on BMI, suggestive of a primary association with adiposity, while five loci showed larger effects on BMI than on BF%, suggesting association with both fat and lean mass. In particular, the loci more strongly associated with BF% showed distinct cross-phenotype association signatures with a range of cardiometabolic traits revealing new insights in the link between adiposity and disease risk.
Published: 2016

17. Biological interpretation of genome-wide association studies using predicted gene functions

Author: Pers, T, Karjalainen, J, Chan, Y, Westra, H, Wood, A, Yang, J, Lui, J, Vedantam, S, Gustafsson, S, Esko, T, Frayling, T, Speliotes, E, Boehnke, M, Raychaudhuri, S, Fehrmann, R, Hirschhorn, J, Franke, L, Chu, A, Estrada, K, Luan, J, Kutalik, Z, Amin, N, Buchkovich, M, Croteau Chonka, D, Day, F, Duan, Y, Fall, T, Ferreira, T, Jackson, A, Lo, K, Locke, A, Mägi, R, Mihailov, E, Porcu, E, Randall, J, Scherag, A, Vinkhuyzen, A, Winkler, T, Workalemahu, T, Zhao, J, Absher, D, Albrecht, E, Anderson, D, Baron, J, Beekman, M, Demirkan, A, Ehret, G, Feenstra, B, Feitosa, M, Fischer, K, Fraser, R, Goel, A, Gong, J, Justice, E, Kanoni, S, Kleber, M, Kristiansson, K, Lim, U, Lotay, V, Mangino, M, Mateo Leach, I, Medina Gomez, C, Nalls, M, Nyholt, D, Palmer, C, Pasko, D, Pechlivanis, S, Prokopenko, I, Ried, J, Ripke, S, Shungin, D, Stancáková, A, Strawbridge, R, Sung, Y, Tanaka, T, Teumer, A, Trompet, S, van der Laan, S, van Setten, J, Van Vliet Ostaptchouk, J, Wang, Z, Yengo, L, Zhang, W, Afzal, U, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Bolton, J, Böttcher, Y, Boyd, H, Bruinenberg, M, Buckley, B, Buyske, S, Caspersen, I, Chines, P, Clarke, R, Claudi Boehm, S, Cooper, M, Daw, E, De Jong, A, Deelen, J, Delgado, G, Denny, J, Dhonukshe Rutten, R, Dimitriou, M, Doney, A, Dörr, M, Eklund, N, Eury, E, Folkersen, L, Garcia, M, Geller, F, Giedraitis, V, Go, A, Grallert, H, Grammer, T, Gräßler, J, Grönberg, H, de Groot, L, Groves, C, Haessler, J, Haller, T, Hallmans, G, Hannemann, A, Hartman, C, Hassinen, M, Hayward, C, Heard Costa, N, Helmer, Q, Hemani, G, Henders, A, Hillege, H, Hlatky, M, Hoffmann, W, Hoffmann, P, Holmen, O, Houwing Duistermaat, J, Illig, T, Isaacs, A, James, A, Jeff, J, Johansen, B, Johansson, Å, Jolley, J, Juliusdottir, T, Junttila, J, Kho, A, Kinnunen, L, Klopp, N, Kocher, T, Kratzer, W, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Lu, Y, Lyssenko, V, Magnusson, P, Mahajan, A, Maillard, M, Mcardle, W, Mckenzie, C, Mclachlan, S, Mclaren, P, Menni, C, Merger, S, Milani, L, Moayyeri, A, Monda, K, Morken, M, Müller, G, Müller Nurasyid, M, Musk, A, Narisu, N, Nauck, M, Nolte, I, Nöthen, M, Oozageer, L, Pilz, S, Rayner, N, Renstrom, F, Robertson, N, Rose, L, Roussel, R, Sanna, S, Scharnagl, H, Scholtens, S, Schumacher, F, Schunkert, H, Scott, R, Sehmi, J, Seufferlein, T, Shi, J, Silventoinen, K, Smit, J, Smith, A, Smolonska, J, Stanton, A, Stirrups, K, Stott, D, Stringham, H, Sundström, J, Swertz, M, Syvänen, A, Tayo, B, Thorleifsson, G, Tyrer, J, van Dijk, S, van Schoor, N, van der Velde, N, van Heemst, D, van Oort, F, Vermeulen, S, Verweij, N, Vonk, J, Waite, L, Waldenberger, M, Wennauer, R, Wilkens, L, Willenborg, C, Wilsgaard, T, Wojczynski, M, Wong, A, Wright, A, Zhang, Q, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Bergmann, S, Biffar, R, Blangero, J, Boomsma, I, Bornstein, S, Bovet, P, Brambilla, P, Brown, M, Campbell, H, Caulfield, M, Chakravarti, A, Collins, R, Collins, F, Crawford, D, Cupples, L, Danesh, J, de Faire, U, den Ruijter, H, Erbel, R, Erdmann, J, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Ford, I, Forouhi, N, Forrester, T, Gansevoort, R, Gejman, P, Gieger, C, Golay, A, Gottesman, O, Gudnason, V, Gyllensten, U, Haas, D, Hall, A, Harris, T, Hattersley, A, Heath, A, Hengstenberg, C, Hicks, A, Hindorff, L, Hingorani, A, Hofman, A, Hovingh, G, Humphries, S, Hunt, S, Hypponen, E, Jacobs, K, Jarvelin, M, Jousilahti, P, Jula, A, Kaprio, J, Kastelein, J, Kayser, M, Kee, F, Keinanen Kiukaanniemi, S, Kiemeney, L, Kooner, J, Kooperberg, C, Koskinen, S, Kovacs, P, Kraja, A, Kumari, M, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lupoli, S, Madden, P, Männistö, S, Manunta, P, Marette, A, Matise, T, Mcknight, B, Meitinger, T, Moll, F, Montgomery, G, Morris, A, Murray, J, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Ouwehand, W, Pasterkamp, G, Peters, A, Pramstaller, P, Price, J, Qi, L, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Sebert, S, Sever, P, Shuldiner, A, Sinisalo, J, Steinthorsdottir, V, Stolk, R, Tardif, J, Tönjes, A, Tremblay, A, Tremoli, E, Virtamo, J, Vohl, M, Amouyel, P, Asselbergs, F, Assimes, T, Bochud, M, Boehm, B, Boerwinkle, E, Bottinger, E, Bouchard, C, Cauchi, S, Chambers, J, Chanock, S, Cooper, R, de Bakker, P, Dedoussis, G, Ferrucci, L, Franks, P, Froguel, P, Groop, L, Haiman, C, Hamsten, A, Hayes, M, Hui, J, Hunter, D, Hveem, K, Jukema, J, Kaplan, R, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, Martin, N, März, W, Melbye, M, Moebus, S, Munroe, P, Njølstad, I, Oostra, B, Pedersen, N, Perola, M, Pérusse, L, Peters, U, Powell, J, Power, C, Quertermous, T, Rauramaa, R, Reinmaa, E, Ridker, P, Rivadeneira, F, Rotter, J, Saaristo, T, Saleheen, D, Schlessinger, D, Slagboom, P, Snieder, H, Spector, T, Strauch, K, Stumvoll, M, Tuomilehto, J, Uusitupa, M, van der Harst, P, Völzke, H, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Wilson, J, Zanen, P, Deloukas, P, Heid, I, Lindgren, C, Mohlke, K, Thorsteinsdottir, U, Barroso, I, Fox, C, North, K, Strachan, D, Beckmann, J, Berndt, S, Borecki, I, Mccarthy, M, Metspalu, A, Stefansson, K, Uitterlinden, A, van Duijn, C, Willer, C, Price, A, Lettre, G, Loos, R, Weedon, M, Ingelsson, E, O'Connell, J, Abecasis, G, Chasman, D, Goddard, M, Visscher, P, Pers TH, Karjalainen JM, Chan Y, Westra HJ, Wood AR, Yang J, Lui JC, Vedantam S, Gustafsson S, Esko T, Frayling T, Speliotes EK, Boehnke M, Raychaudhuri S, Fehrmann RS, Hirschhorn JN, Franke L, Chu AY, Estrada K, Luan J, Kutalik Z, Amin N, Buchkovich ML, Croteau Chonka DC, Day FR, Duan Y, Fall T, Fehrmann R, Ferreira T, Jackson AU, Karjalainen J, Lo KS, Locke AE, Mägi R, Mihailov E, Porcu E, Randall JC, Scherag A, Vinkhuyzen AA, Winkler TW, Workalemahu T, Zhao JH, Absher D, Albrecht E, Anderson D, Baron J, Beekman M, Demirkan A, Ehret GB, Feenstra B, Feitosa MF, Fischer K, Fraser RM, Goel A, Gong J, Justice E, Kanoni S, Kleber ME, Kristiansson K, Lim U, Lotay V, Mangino M, Mateo Leach I, Medina Gomez C, Nalls MA, Nyholt DR, Palmer CD, Pasko D, Pechlivanis S, Prokopenko I, Ried JS, Ripke S, Shungin D, Stancáková A, Strawbridge RJ, Sung YJ, Tanaka T, Teumer A, Trompet S, van der Laan SW, van Setten J, Van Vliet Ostaptchouk JV, Wang Z, Yengo L, Zhang W, Afzal U, Ärnlöv J, Arscott GM, Bandinelli S, Barrett A, Bellis C, Bennett AJ, Berne C, Blüher M, Bolton JL, Böttcher Y, Boyd HA, Bruinenberg M, Buckley BM, Buyske S, Caspersen IH, Chines PS, Clarke R, Claudi Boehm S, Cooper M, Daw EW, De Jong A, Deelen J, Delgado G, Denny JC, Dhonukshe Rutten R, Dimitriou M, Doney AS, Dörr M, Eklund N, Eury E, Folkersen L, Garcia ME, Geller F, Giedraitis V, Go AS, Grallert H, Grammer TB, Gräßler J, Grönberg H, de Groot LC, Groves CJ, Haessler J, Haller T, Hallmans G, Hannemann A, Hartman CA, Hassinen M, Hayward C, Heard Costa NL, Helmer Q, Hemani G, Henders AK, Hillege HL, Hlatky MA, Hoffmann W, Hoffmann P, Holmen O, Houwing Duistermaat JJ, Illig T, Isaacs A, James AL, Jeff J, Johansen B, Johansson Å, Jolley J, Juliusdottir T, Junttila J, Kho AN, Kinnunen L, Klopp N, Kocher T, Kratzer W, Lichtner P, Lind L, Lindström J, Lobbens S, Lorentzon M, Lu Y, Lyssenko V, Magnusson PK, Mahajan A, Maillard M, McArdle WL, McKenzie CA, McLachlan S, McLaren PJ, Menni C, Merger S, Milani L, Moayyeri A, Monda KL, Morken MA, Müller G, Müller Nurasyid M, Musk AW, Narisu N, Nauck M, Nolte IM, Nöthen MM, Oozageer L, Pilz S, Rayner NW, Renstrom F, Robertson NR, Rose LM, Roussel R, Sanna S, Scharnagl H, Scholtens S, Schumacher FR, Schunkert H, Scott RA, Sehmi J, Seufferlein T, Shi J, Silventoinen K, Smit JH, Smith AV, Smolonska J, Stanton AV, Stirrups K, Stott DJ, Stringham HM, Sundström J, Swertz MA, Syvänen AC, Tayo BO, Thorleifsson G, Tyrer JP, van Dijk S, van Schoor NM, van der Velde N, van Heemst D, van Oort FV, Vermeulen SH, Verweij N, Vonk JM, Waite LL, Waldenberger M, Wennauer R, Wilkens LR, Willenborg C, Wilsgaard T, Wojczynski MK, Wong A, Wright AF, Zhang Q, Arveiler D, Bakker SJ, Beilby J, Bergman RN, Bergmann S, Biffar R, Blangero J, Boomsma I, Bornstein SR, Bovet P, BRAMBILLA, PAOLO, Brown MJ, Campbell H, Caulfield MJ, Chakravarti A, Collins R, Collins FS, Crawford DC, Cupples LA, Danesh J, de Faire U, den Ruijter HM, Erbel R, Erdmann J, Eriksson JG, Farrall M, Ferrannini E, Ferrières J, Ford I, Forouhi NG, Forrester T, Gansevoort RT, Gejman PV, Gieger C, Golay A, Gottesman O, Gudnason V, Gyllensten U, Haas DW, Hall AS, Harris TB, Hattersley AT, Heath AC, Hengstenberg C, Hicks AA, Hindorff LA, Hingorani AD, Hofman A, Hovingh GK, Humphries SE, Hunt SC, Hypponen E, Jacobs KB, Jarvelin MR, Jousilahti P, Jula AM, Kaprio J, Kastelein JJ, Kayser M, Kee F, Keinanen Kiukaanniemi SM, Kiemeney LA, Kooner JS, Kooperberg C, Koskinen S, Kovacs P, Kraja AT, Kumari M, Kuusisto J, Lakka TA, Langenberg C, Le Marchand L, Lehtimäki T, Lupoli S, Madden PA, Männistö S, Manunta P, Marette A, Matise TC, McKnight B, Meitinger T, Moll FL, Montgomery GW, Morris AD, Morris AP, Murray JC, Nelis M, Ohlsson C, Oldehinkel AJ, Ong KK, Ouwehand WH, Pasterkamp G, Peters A, Pramstaller PP, Price JF, Qi L, Raitakari OT, Rankinen T, Rao DC, Rice TK, Ritchie M, Rudan I, Salomaa V, Samani NJ, Saramies J, Sarzynski MA, Schwarz PE, Sebert S, Sever P, Shuldiner AR, Sinisalo J, Steinthorsdottir V, Stolk RP, Tardif JC, Tönjes A, Tremblay A, Tremoli E, Virtamo J, Vohl MC, Amouyel P, Asselbergs FW, Assimes TL, Bochud M, Boehm BO, Boerwinkle E, Bottinger EP, Bouchard C, Cauchi S, Chambers JC, Chanock SJ, Cooper RS, de Bakker PI, Dedoussis G, Ferrucci L, Franks PW, Froguel P, Groop LC, Haiman CA, Hamsten A, Hayes MG, Hui J, Hunter DJ, Hveem K, Jukema JW, Kaplan RC, Kivimaki M, Kuh D, Laakso M, Liu Y, Martin NG, März W, Melbye M, Moebus S, Munroe PB, Njølstad I, Oostra BA, Palmer CN, Pedersen NL, Perola M, Pérusse L, Peters U, Powell JE, Power C, Quertermous T, Rauramaa R, Reinmaa E, Ridker PM, Rivadeneira F, Rotter JI, Saaristo TE, Saleheen D, Schlessinger D, Slagboom PE, Snieder H, Spector TD, Strauch K, Stumvoll M, Tuomilehto J, Uusitupa M, van der Harst P, Völzke H, Walker M, Wareham NJ, Watkins H, Wichmann HE, Wilson JF, Zanen P, Deloukas P, Heid IM, Lindgren CM, Mohlke KL, Thorsteinsdottir U, Barroso I, Fox CS, North KE, Strachan DP, Beckmann JS, Berndt SI, Borecki IB, McCarthy MI, Metspalu A, Stefansson K, Uitterlinden AG, van Duijn CM, Willer CJ, Price AL, Lettre G, Loos RJ, Weedon MN, Ingelsson E, O'Connell JR, Abecasis GR, Chasman DI, Goddard ME, Visscher PM, Frayling T.M., Pers, T, Karjalainen, J, Chan, Y, Westra, H, Wood, A, Yang, J, Lui, J, Vedantam, S, Gustafsson, S, Esko, T, Frayling, T, Speliotes, E, Boehnke, M, Raychaudhuri, S, Fehrmann, R, Hirschhorn, J, Franke, L, Chu, A, Estrada, K, Luan, J, Kutalik, Z, Amin, N, Buchkovich, M, Croteau Chonka, D, Day, F, Duan, Y, Fall, T, Ferreira, T, Jackson, A, Lo, K, Locke, A, Mägi, R, Mihailov, E, Porcu, E, Randall, J, Scherag, A, Vinkhuyzen, A, Winkler, T, Workalemahu, T, Zhao, J, Absher, D, Albrecht, E, Anderson, D, Baron, J, Beekman, M, Demirkan, A, Ehret, G, Feenstra, B, Feitosa, M, Fischer, K, Fraser, R, Goel, A, Gong, J, Justice, E, Kanoni, S, Kleber, M, Kristiansson, K, Lim, U, Lotay, V, Mangino, M, Mateo Leach, I, Medina Gomez, C, Nalls, M, Nyholt, D, Palmer, C, Pasko, D, Pechlivanis, S, Prokopenko, I, Ried, J, Ripke, S, Shungin, D, Stancáková, A, Strawbridge, R, Sung, Y, Tanaka, T, Teumer, A, Trompet, S, van der Laan, S, van Setten, J, Van Vliet Ostaptchouk, J, Wang, Z, Yengo, L, Zhang, W, Afzal, U, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Bolton, J, Böttcher, Y, Boyd, H, Bruinenberg, M, Buckley, B, Buyske, S, Caspersen, I, Chines, P, Clarke, R, Claudi Boehm, S, Cooper, M, Daw, E, De Jong, A, Deelen, J, Delgado, G, Denny, J, Dhonukshe Rutten, R, Dimitriou, M, Doney, A, Dörr, M, Eklund, N, Eury, E, Folkersen, L, Garcia, M, Geller, F, Giedraitis, V, Go, A, Grallert, H, Grammer, T, Gräßler, J, Grönberg, H, de Groot, L, Groves, C, Haessler, J, Haller, T, Hallmans, G, Hannemann, A, Hartman, C, Hassinen, M, Hayward, C, Heard Costa, N, Helmer, Q, Hemani, G, Henders, A, Hillege, H, Hlatky, M, Hoffmann, W, Hoffmann, P, Holmen, O, Houwing Duistermaat, J, Illig, T, Isaacs, A, James, A, Jeff, J, Johansen, B, Johansson, Å, Jolley, J, Juliusdottir, T, Junttila, J, Kho, A, Kinnunen, L, Klopp, N, Kocher, T, Kratzer, W, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Lu, Y, Lyssenko, V, Magnusson, P, Mahajan, A, Maillard, M, Mcardle, W, Mckenzie, C, Mclachlan, S, Mclaren, P, Menni, C, Merger, S, Milani, L, Moayyeri, A, Monda, K, Morken, M, Müller, G, Müller Nurasyid, M, Musk, A, Narisu, N, Nauck, M, Nolte, I, Nöthen, M, Oozageer, L, Pilz, S, Rayner, N, Renstrom, F, Robertson, N, Rose, L, Roussel, R, Sanna, S, Scharnagl, H, Scholtens, S, Schumacher, F, Schunkert, H, Scott, R, Sehmi, J, Seufferlein, T, Shi, J, Silventoinen, K, Smit, J, Smith, A, Smolonska, J, Stanton, A, Stirrups, K, Stott, D, Stringham, H, Sundström, J, Swertz, M, Syvänen, A, Tayo, B, Thorleifsson, G, Tyrer, J, van Dijk, S, van Schoor, N, van der Velde, N, van Heemst, D, van Oort, F, Vermeulen, S, Verweij, N, Vonk, J, Waite, L, Waldenberger, M, Wennauer, R, Wilkens, L, Willenborg, C, Wilsgaard, T, Wojczynski, M, Wong, A, Wright, A, Zhang, Q, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Bergmann, S, Biffar, R, Blangero, J, Boomsma, I, Bornstein, S, Bovet, P, Brambilla, P, Brown, M, Campbell, H, Caulfield, M, Chakravarti, A, Collins, R, Collins, F, Crawford, D, Cupples, L, Danesh, J, de Faire, U, den Ruijter, H, Erbel, R, Erdmann, J, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Ford, I, Forouhi, N, Forrester, T, Gansevoort, R, Gejman, P, Gieger, C, Golay, A, Gottesman, O, Gudnason, V, Gyllensten, U, Haas, D, Hall, A, Harris, T, Hattersley, A, Heath, A, Hengstenberg, C, Hicks, A, Hindorff, L, Hingorani, A, Hofman, A, Hovingh, G, Humphries, S, Hunt, S, Hypponen, E, Jacobs, K, Jarvelin, M, Jousilahti, P, Jula, A, Kaprio, J, Kastelein, J, Kayser, M, Kee, F, Keinanen Kiukaanniemi, S, Kiemeney, L, Kooner, J, Kooperberg, C, Koskinen, S, Kovacs, P, Kraja, A, Kumari, M, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lupoli, S, Madden, P, Männistö, S, Manunta, P, Marette, A, Matise, T, Mcknight, B, Meitinger, T, Moll, F, Montgomery, G, Morris, A, Murray, J, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Ouwehand, W, Pasterkamp, G, Peters, A, Pramstaller, P, Price, J, Qi, L, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Sebert, S, Sever, P, Shuldiner, A, Sinisalo, J, Steinthorsdottir, V, Stolk, R, Tardif, J, Tönjes, A, Tremblay, A, Tremoli, E, Virtamo, J, Vohl, M, Amouyel, P, Asselbergs, F, Assimes, T, Bochud, M, Boehm, B, Boerwinkle, E, Bottinger, E, Bouchard, C, Cauchi, S, Chambers, J, Chanock, S, Cooper, R, de Bakker, P, Dedoussis, G, Ferrucci, L, Franks, P, Froguel, P, Groop, L, Haiman, C, Hamsten, A, Hayes, M, Hui, J, Hunter, D, Hveem, K, Jukema, J, Kaplan, R, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, Martin, N, März, W, Melbye, M, Moebus, S, Munroe, P, Njølstad, I, Oostra, B, Pedersen, N, Perola, M, Pérusse, L, Peters, U, Powell, J, Power, C, Quertermous, T, Rauramaa, R, Reinmaa, E, Ridker, P, Rivadeneira, F, Rotter, J, Saaristo, T, Saleheen, D, Schlessinger, D, Slagboom, P, Snieder, H, Spector, T, Strauch, K, Stumvoll, M, Tuomilehto, J, Uusitupa, M, van der Harst, P, Völzke, H, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Wilson, J, Zanen, P, Deloukas, P, Heid, I, Lindgren, C, Mohlke, K, Thorsteinsdottir, U, Barroso, I, Fox, C, North, K, Strachan, D, Beckmann, J, Berndt, S, Borecki, I, Mccarthy, M, Metspalu, A, Stefansson, K, Uitterlinden, A, van Duijn, C, Willer, C, Price, A, Lettre, G, Loos, R, Weedon, M, Ingelsson, E, O'Connell, J, Abecasis, G, Chasman, D, Goddard, M, Visscher, P, Pers TH, Karjalainen JM, Chan Y, Westra HJ, Wood AR, Yang J, Lui JC, Vedantam S, Gustafsson S, Esko T, Frayling T, Speliotes EK, Boehnke M, Raychaudhuri S, Fehrmann RS, Hirschhorn JN, Franke L, Chu AY, Estrada K, Luan J, Kutalik Z, Amin N, Buchkovich ML, Croteau Chonka DC, Day FR, Duan Y, Fall T, Fehrmann R, Ferreira T, Jackson AU, Karjalainen J, Lo KS, Locke AE, Mägi R, Mihailov E, Porcu E, Randall JC, Scherag A, Vinkhuyzen AA, Winkler TW, Workalemahu T, Zhao JH, Absher D, Albrecht E, Anderson D, Baron J, Beekman M, Demirkan A, Ehret GB, Feenstra B, Feitosa MF, Fischer K, Fraser RM, Goel A, Gong J, Justice E, Kanoni S, Kleber ME, Kristiansson K, Lim U, Lotay V, Mangino M, Mateo Leach I, Medina Gomez C, Nalls MA, Nyholt DR, Palmer CD, Pasko D, Pechlivanis S, Prokopenko I, Ried JS, Ripke S, Shungin D, Stancáková A, Strawbridge RJ, Sung YJ, Tanaka T, Teumer A, Trompet S, van der Laan SW, van Setten J, Van Vliet Ostaptchouk JV, Wang Z, Yengo L, Zhang W, Afzal U, Ärnlöv J, Arscott GM, Bandinelli S, Barrett A, Bellis C, Bennett AJ, Berne C, Blüher M, Bolton JL, Böttcher Y, Boyd HA, Bruinenberg M, Buckley BM, Buyske S, Caspersen IH, Chines PS, Clarke R, Claudi Boehm S, Cooper M, Daw EW, De Jong A, Deelen J, Delgado G, Denny JC, Dhonukshe Rutten R, Dimitriou M, Doney AS, Dörr M, Eklund N, Eury E, Folkersen L, Garcia ME, Geller F, Giedraitis V, Go AS, Grallert H, Grammer TB, Gräßler J, Grönberg H, de Groot LC, Groves CJ, Haessler J, Haller T, Hallmans G, Hannemann A, Hartman CA, Hassinen M, Hayward C, Heard Costa NL, Helmer Q, Hemani G, Henders AK, Hillege HL, Hlatky MA, Hoffmann W, Hoffmann P, Holmen O, Houwing Duistermaat JJ, Illig T, Isaacs A, James AL, Jeff J, Johansen B, Johansson Å, Jolley J, Juliusdottir T, Junttila J, Kho AN, Kinnunen L, Klopp N, Kocher T, Kratzer W, Lichtner P, Lind L, Lindström J, Lobbens S, Lorentzon M, Lu Y, Lyssenko V, Magnusson PK, Mahajan A, Maillard M, McArdle WL, McKenzie CA, McLachlan S, McLaren PJ, Menni C, Merger S, Milani L, Moayyeri A, Monda KL, Morken MA, Müller G, Müller Nurasyid M, Musk AW, Narisu N, Nauck M, Nolte IM, Nöthen MM, Oozageer L, Pilz S, Rayner NW, Renstrom F, Robertson NR, Rose LM, Roussel R, Sanna S, Scharnagl H, Scholtens S, Schumacher FR, Schunkert H, Scott RA, Sehmi J, Seufferlein T, Shi J, Silventoinen K, Smit JH, Smith AV, Smolonska J, Stanton AV, Stirrups K, Stott DJ, Stringham HM, Sundström J, Swertz MA, Syvänen AC, Tayo BO, Thorleifsson G, Tyrer JP, van Dijk S, van Schoor NM, van der Velde N, van Heemst D, van Oort FV, Vermeulen SH, Verweij N, Vonk JM, Waite LL, Waldenberger M, Wennauer R, Wilkens LR, Willenborg C, Wilsgaard T, Wojczynski MK, Wong A, Wright AF, Zhang Q, Arveiler D, Bakker SJ, Beilby J, Bergman RN, Bergmann S, Biffar R, Blangero J, Boomsma I, Bornstein SR, Bovet P, BRAMBILLA, PAOLO, Brown MJ, Campbell H, Caulfield MJ, Chakravarti A, Collins R, Collins FS, Crawford DC, Cupples LA, Danesh J, de Faire U, den Ruijter HM, Erbel R, Erdmann J, Eriksson JG, Farrall M, Ferrannini E, Ferrières J, Ford I, Forouhi NG, Forrester T, Gansevoort RT, Gejman PV, Gieger C, Golay A, Gottesman O, Gudnason V, Gyllensten U, Haas DW, Hall AS, Harris TB, Hattersley AT, Heath AC, Hengstenberg C, Hicks AA, Hindorff LA, Hingorani AD, Hofman A, Hovingh GK, Humphries SE, Hunt SC, Hypponen E, Jacobs KB, Jarvelin MR, Jousilahti P, Jula AM, Kaprio J, Kastelein JJ, Kayser M, Kee F, Keinanen Kiukaanniemi SM, Kiemeney LA, Kooner JS, Kooperberg C, Koskinen S, Kovacs P, Kraja AT, Kumari M, Kuusisto J, Lakka TA, Langenberg C, Le Marchand L, Lehtimäki T, Lupoli S, Madden PA, Männistö S, Manunta P, Marette A, Matise TC, McKnight B, Meitinger T, Moll FL, Montgomery GW, Morris AD, Morris AP, Murray JC, Nelis M, Ohlsson C, Oldehinkel AJ, Ong KK, Ouwehand WH, Pasterkamp G, Peters A, Pramstaller PP, Price JF, Qi L, Raitakari OT, Rankinen T, Rao DC, Rice TK, Ritchie M, Rudan I, Salomaa V, Samani NJ, Saramies J, Sarzynski MA, Schwarz PE, Sebert S, Sever P, Shuldiner AR, Sinisalo J, Steinthorsdottir V, Stolk RP, Tardif JC, Tönjes A, Tremblay A, Tremoli E, Virtamo J, Vohl MC, Amouyel P, Asselbergs FW, Assimes TL, Bochud M, Boehm BO, Boerwinkle E, Bottinger EP, Bouchard C, Cauchi S, Chambers JC, Chanock SJ, Cooper RS, de Bakker PI, Dedoussis G, Ferrucci L, Franks PW, Froguel P, Groop LC, Haiman CA, Hamsten A, Hayes MG, Hui J, Hunter DJ, Hveem K, Jukema JW, Kaplan RC, Kivimaki M, Kuh D, Laakso M, Liu Y, Martin NG, März W, Melbye M, Moebus S, Munroe PB, Njølstad I, Oostra BA, Palmer CN, Pedersen NL, Perola M, Pérusse L, Peters U, Powell JE, Power C, Quertermous T, Rauramaa R, Reinmaa E, Ridker PM, Rivadeneira F, Rotter JI, Saaristo TE, Saleheen D, Schlessinger D, Slagboom PE, Snieder H, Spector TD, Strauch K, Stumvoll M, Tuomilehto J, Uusitupa M, van der Harst P, Völzke H, Walker M, Wareham NJ, Watkins H, Wichmann HE, Wilson JF, Zanen P, Deloukas P, Heid IM, Lindgren CM, Mohlke KL, Thorsteinsdottir U, Barroso I, Fox CS, North KE, Strachan DP, Beckmann JS, Berndt SI, Borecki IB, McCarthy MI, Metspalu A, Stefansson K, Uitterlinden AG, van Duijn CM, Willer CJ, Price AL, Lettre G, Loos RJ, Weedon MN, Ingelsson E, O'Connell JR, Abecasis GR, Chasman DI, Goddard ME, Visscher PM, and Frayling T.M.
Abstract: The main challenge for gaining biological insights from genetic associations is identifying which genes and pathways explain the associations. Here we present DEPICT, an integrative tool that employs predicted gene functions to systematically prioritize the most likely causal genes at associated loci, highlight enriched pathways and identify tissues/cell types where genes from associated loci are highly expressed. DEPICT is not limited to genes with established functions and prioritizes relevant gene sets for many phenotypes.
Published: 2015

18. Rare coding variants and X-linked loci associated with age at menarche

Author: Lunetta, KL, Day, FR, Sulem, P, Ruth, KS, Tung, JY, Hinds, DA, Esko, T, Elks, CE, Altmaier, E, He, CY, Huffman, JE, Mihailov, E, Porcu, E, Robino, A, Rose, LM, Schick, UM, Stolk, Lisette, Teumer, A, Thompson, DJ, Traglia, M, Wang, CA, Yerges-Armstrong, LM, Antoniou, AC, Barbieri, C, Coviello, AD, Cucca, F, Demerath, EW, Dunning, AM, Gandin, I, Grove, ML, Gudbjartsson, DF, Hocking, LJ, Hofman, Bert, Huang, JY, Jackson, RD, Karasik, D, Kriebel, J, Lange, Edmee, Lange, LA, Langenberg, C, Li, X, Luan, JA, Magi, R, Morrison, AC, Padmanabhan, S, Pirie, A, Polasek, O, Porteous, D, Reiner, AP, Rivadeneira, Fernando, Rudan, I, Sala, CF, Schlessinger, D, Scott, RA, Stockl, D, Visser, Jenny, Volker, U, Vozzi, D, Wilson, JG, Zygmunt, M, Boerwinkle, E, Buring, JE, Crisponi, L, Easton, DF, Hayward, C, Hu, FB, Liu, SM (Simin), Metspalu, A, Pennell, CE, Ridker, PM, Strauch, K, Streeten, EA, Toniolo, D, Uitterlinden, André, Ulivi, S, Volzke, H, Wareham, NJ, Wellons, M, Franceschini, N, Chasman, DI, Thorsteinsdottir, U, Murray, A, Stefansson, K, Murabito, JM, Ong, KK, Perry, JRB, Forouhi, NG, Kerrison, ND, Sharp, SJ, Sims, M, Barroso, I, Deloukas, P, McCarthy, MI, Arriola, L, Balkau, B, Barricarte, A, Boeing, H, Franks, PW, Gonzalez, C, Grioni, S, Kaaks, R, Key, TJ, Navarro, C, Nilsson, PM, Overvad, K, Palli, D, Panico, S, Quiros, JR, Rolandsson, O, Sacerdote, C, Sanchez, MJ (Maria-Jose), Slimani, N, Tjonneland, A, Tumino, R, van der A, DL, van der Schouw, YT, Riboli, E, Smith, BH, Campbell, A (Archie), Deary, IJ, McIntosh, AM, Lunetta, KL, Day, FR, Sulem, P, Ruth, KS, Tung, JY, Hinds, DA, Esko, T, Elks, CE, Altmaier, E, He, CY, Huffman, JE, Mihailov, E, Porcu, E, Robino, A, Rose, LM, Schick, UM, Stolk, Lisette, Teumer, A, Thompson, DJ, Traglia, M, Wang, CA, Yerges-Armstrong, LM, Antoniou, AC, Barbieri, C, Coviello, AD, Cucca, F, Demerath, EW, Dunning, AM, Gandin, I, Grove, ML, Gudbjartsson, DF, Hocking, LJ, Hofman, Bert, Huang, JY, Jackson, RD, Karasik, D, Kriebel, J, Lange, Edmee, Lange, LA, Langenberg, C, Li, X, Luan, JA, Magi, R, Morrison, AC, Padmanabhan, S, Pirie, A, Polasek, O, Porteous, D, Reiner, AP, Rivadeneira, Fernando, Rudan, I, Sala, CF, Schlessinger, D, Scott, RA, Stockl, D, Visser, Jenny, Volker, U, Vozzi, D, Wilson, JG, Zygmunt, M, Boerwinkle, E, Buring, JE, Crisponi, L, Easton, DF, Hayward, C, Hu, FB, Liu, SM (Simin), Metspalu, A, Pennell, CE, Ridker, PM, Strauch, K, Streeten, EA, Toniolo, D, Uitterlinden, André, Ulivi, S, Volzke, H, Wareham, NJ, Wellons, M, Franceschini, N, Chasman, DI, Thorsteinsdottir, U, Murray, A, Stefansson, K, Murabito, JM, Ong, KK, Perry, JRB, Forouhi, NG, Kerrison, ND, Sharp, SJ, Sims, M, Barroso, I, Deloukas, P, McCarthy, MI, Arriola, L, Balkau, B, Barricarte, A, Boeing, H, Franks, PW, Gonzalez, C, Grioni, S, Kaaks, R, Key, TJ, Navarro, C, Nilsson, PM, Overvad, K, Palli, D, Panico, S, Quiros, JR, Rolandsson, O, Sacerdote, C, Sanchez, MJ (Maria-Jose), Slimani, N, Tjonneland, A, Tumino, R, van der A, DL, van der Schouw, YT, Riboli, E, Smith, BH, Campbell, A (Archie), Deary, IJ, and McIntosh, AM
Abstract: More than 100 loci have been identified for age at menarche by genome-wide association studies; however, collectively these explain only similar to 3% of the trait variance. Here we test two overlooked sources of variation in 192,974 European ancestry women: low-frequency proteincoding variants and X-chromosome variants. Five missense/nonsense variants (in ALMS1/LAMB2/TNRC6A/TACR3/PRKAG1) are associated with age at menarche (minor allele frequencies 0.08-4.6%; effect sizes 0.08-1.25 years per allele; P<5 x 10(-8)). In addition, we identify common X-chromosome loci at IGSF1 (rs762080, P = 9.4 x 10(-13)) and FAAH2 (rs5914101, P = 4.9 x 10(-10)). Highlighted genes implicate cellular energy homeostasis, post-transcriptional gene silencing and fatty-acid amide signalling. A frequently reported mutation in TACR3 for idiopathic hypogonatrophic hypogonadism (p.W275X) is associated with 1.25-year-later menarche (P = 2.8 x 10(-11)), illustrating the utility of population studies to estimate the penetrance of reportedly pathogenic mutations. Collectively, these novel variants explain similar to 0.5% variance, indicating that these overlooked sources of variation do not substantially explain the 'missing heritability' of this complex trait.
Published: 2015

19. Likely causal effects of insulin resistance and IGF-1 bioaction on childhood and adult adiposity: a Mendelian randomization study.

Author: Olwi DI, Kaisinger LR, Kentistou KA, Vaudel M, Stankovic S, Njølstad PR, Johansson S, Perry JRB, Day FR, and Ong KK
Subjects: Humans, Child, Adult, Male, Female, Body Mass Index, Insulin blood, Insulin metabolism, Pediatric Obesity genetics, Pediatric Obesity epidemiology, Mendelian Randomization Analysis, Insulin Resistance genetics, Adiposity genetics, Insulin-Like Growth Factor I metabolism
Abstract: Background: Circulating insulin and insulin-like growth factor-1 (IGF-1) concentrations are positively correlated with adiposity. However, the causal effects of insulin and IGF-1 on adiposity are unclear., Methods: We performed two-sample Mendelian randomization analyses to estimate the likely causal effects of fasting insulin and IGF-1 on relative childhood adiposity and adult body mass index (BMI). To improve accuracy and biological interpretation, we applied Steiger filtering (to avoid reverse causality) and 'biological effect' filtering of fasting insulin and IGF-1 associated variants., Results: Fasting insulin-increasing alleles (35 variants also associated with higher fasting glucose, indicative of insulin resistance) were associated with lower relative childhood adiposity (P = 3.8 × 10 -3 ) and lower adult BMI (P = 1.4 × 10 -5 ). IGF-1-increasing alleles also associated with taller childhood height (351 variants indicative of greater IGF-1 bioaction) showed no association with relative childhood adiposity (P = 0.077) or adult BMI (P = 0.562). Conversely, IGF-1-increasing alleles also associated with shorter childhood height (306 variants indicative of IGF-1 resistance) were associated with lower relative childhood adiposity (P = 6.7 × 10 -3 ), but effects on adult BMI were inconclusive., Conclusions: Genetic causal modelling indicates negative effects of insulin resistance on childhood and adult adiposity, and negative effects of IGF-1 resistance on childhood adiposity. Our findings demonstrate the need to distinguish between bioaction and resistance when modelling variants associated with biomarker concentrations., (© 2024. The Author(s).)
Published: 2024
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20. Genetic links between ovarian ageing, cancer risk and de novo mutation rates.

Author: Stankovic S, Shekari S, Huang QQ, Gardner EJ, Ivarsdottir EV, Owens NDL, Mavaddat N, Azad A, Hawkes G, Kentistou KA, Beaumont RN, Day FR, Zhao Y, Jonsson H, Rafnar T, Tragante V, Sveinbjornsson G, Oddsson A, Styrkarsdottir U, Gudmundsson J, Stacey SN, Gudbjartsson DF, Kennedy K, Wood AR, Weedon MN, Ong KK, Wright CF, Hoffmann ER, Sulem P, Hurles ME, Ruth KS, Martin HC, Stefansson K, Perry JRB, and Murray A
Subjects: Adult, Female, Humans, Male, Middle Aged, DNA Damage genetics, Fertility genetics, Genetic Variation genetics, Genome, Human genetics, Germ-Line Mutation genetics, Menarche genetics, Time Factors, UK Biobank, United Kingdom epidemiology, Aging genetics, Aging pathology, Genetic Predisposition to Disease genetics, Menopause genetics, Mutation Rate, Neoplasms genetics, Ovary metabolism, Ovary pathology
Abstract: Human genetic studies of common variants have provided substantial insight into the biological mechanisms that govern ovarian ageing 1 . Here we report analyses of rare protein-coding variants in 106,973 women from the UK Biobank study, implicating genes with effects around five times larger than previously found for common variants (ETAA1, ZNF518A, PNPLA8, PALB2 and SAMHD1). The SAMHD1 association reinforces the link between ovarian ageing and cancer susceptibility 1 , with damaging germline variants being associated with extended reproductive lifespan and increased all-cause cancer risk in both men and women. Protein-truncating variants in ZNF518A are associated with shorter reproductive lifespan-that is, earlier age at menopause (by 5.61 years) and later age at menarche (by 0.56 years). Finally, using 8,089 sequenced trios from the 100,000 Genomes Project (100kGP), we observe that common genetic variants associated with earlier ovarian ageing associate with an increased rate of maternally derived de novo mutations. Although we were unable to replicate the finding in independent samples from the deCODE study, it is consistent with the expected role of DNA damage response genes in maintaining the genetic integrity of germ cells. This study provides evidence of genetic links between age of menopause and cancer risk., (© 2024. The Author(s).)
Published: 2024
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21. 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
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22. 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
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23. Rare variant associations with birth weight identify genes involved in adipose tissue regulation, placental function and insulin-like growth factor signalling.

Author: Kentistou KA, Lim BEM, Kaisinger LR, Steinthorsdottir V, Sharp LN, Patel KA, Tragante V, Hawkes G, Gardner EJ, Olafsdottir T, Wood AR, Zhao Y, Thorleifsson G, Day FR, Ozanne SE, Hattersley AT, O'Rahilly S, Stefansson K, Ong KK, Beaumont RN, Perry JRB, and Freathy RM
Abstract: Investigating the genetic factors influencing human birth weight may lead to biological insights into fetal growth and long-term health. Genome-wide association studies of birth weight have highlighted associated variants in more than 200 regions of the genome, but the causal genes are mostly unknown. Rare genetic variants with robust evidence of association are more likely to point to causal genes, but to date, only a few rare variants are known to influence birth weight. We aimed to identify genes that harbour rare variants that impact birth weight when carried by either the fetus or the mother, by analysing whole exome sequence data in UK Biobank participants. We annotated rare (minor allele frequency <0.1%) protein-truncating or high impact missense variants on whole exome sequence data in up to 234,675 participants with data on their own birth weight (fetal variants), and up to 181,883 mothers who reported the birth weight of their first child (maternal variants). Variants within each gene were collapsed to perform gene burden tests and for each associated gene, we compared the observed fetal and maternal effects. We identified 8 genes with evidence of rare fetal variant effects on birth weight, of which 2 also showed maternal effects. One additional gene showed evidence of maternal effects only. We observed 10/11 directionally concordant associations in an independent sample of up to 45,622 individuals (sign test P =0.01). Of the genes identified, IGF1R and PAPPA2 (fetal and maternal-acting) have known roles in insulin-like growth factor bioavailability and signalling. PPARG, INHBE and ACVR1C (all fetal-acting) have known roles in adipose tissue regulation and rare variants in the latter two also showed associations with favourable adiposity patterns in adults. We highlight the dual role of PPARG in both adipocyte differentiation and placental angiogenesis. NOS3, NRK, and ADAMTS8 (fetal and maternal-acting) have been implicated in both placental function and hypertension. Analysis of rare coding variants has identified regulators of fetal adipose tissue and fetoplacental angiogenesis as determinants of birth weight, as well as further evidence for the role of insulin-like growth factors., Competing Interests: Competing interests J.R.B.P. and E.J.G. are employees/shareholders of Insmed. J.R.B.P. also receives research funding from GSK. Y.Z. is a UK University worker at GSK. S.O. has undertaken remunerated consultancy work for Pfizer, Third Rock Ventures, AstraZeneca, NorthSea Therapeutics and Courage Therapeutics. V.S., V.T., T.O., G.T., and K.S. are employees of deCODE genetics, a subsidiary of Amgen.
Published: 2024
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24. Protein-truncating variants in BSN are associated with severe adult-onset obesity, type 2 diabetes and fatty liver disease.

Author: Zhao Y, Chukanova M, Kentistou KA, Fairhurst-Hunter Z, Siegert AM, Jia RY, Dowsett GKC, Gardner EJ, Lawler K, Day FR, Kaisinger LR, Tung YL, Lam BYH, Chen HC, Wang Q, Berumen-Campos J, Kuri-Morales P, Tapia-Conyer R, Alegre-Diaz J, Barroso I, Emberson J, Torres JM, Collins R, Saleheen D, Smith KR, Paul DS, Merkle F, Farooqi IS, Wareham NJ, Petrovski S, O'Rahilly S, Ong KK, Yeo GSH, and Perry JRB
Subjects: Adult, Humans, Adaptor Proteins, Signal Transducing genetics, Genetic Predisposition to Disease, Obesity complications, Obesity genetics, Proteomics, Diabetes Mellitus, Type 2 genetics, Induced Pluripotent Stem Cells, Liver Diseases, Nerve Tissue Proteins genetics
Abstract: Obesity is a major risk factor for many common diseases and has a substantial heritable component. To identify new genetic determinants, we performed exome-sequence analyses for adult body mass index (BMI) in up to 587,027 individuals. We identified rare loss-of-function variants in two genes (BSN and APBA1) with effects substantially larger than those of well-established obesity genes such as MC4R. In contrast to most other obesity-related genes, rare variants in BSN and APBA1 were not associated with normal variation in childhood adiposity. Furthermore, BSN protein-truncating variants (PTVs) magnified the influence of common genetic variants associated with BMI, with a common variant polygenic score exhibiting an effect twice as large in BSN PTV carriers than in noncarriers. Finally, we explored the plasma proteomic signatures of BSN PTV carriers as well as the functional consequences of BSN deletion in human induced pluripotent stem cell-derived hypothalamic neurons. Collectively, our findings implicate degenerative processes in synaptic function in the etiology of adult-onset obesity., (© 2024. The Author(s).)
Published: 2024
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25. Body mass index stratified meta-analysis of genome-wide association studies of polycystic ovary syndrome in women of European ancestry.

Author: Burns K, Mullin BH, Moolhuijsen LME, Laisk T, Tyrmi JS, Cui J, Actkins KV, Louwers YV, Davis LK, Dudbridge F, Azziz R, Goodarzi MO, Laivuori H, Mägi R, Visser JA, Laven JSE, Wilson SG, Day FR, and Stuckey BGA
Subjects: Female, Humans, Body Mass Index, Overweight genetics, Case-Control Studies, Obesity genetics, Genome-Wide Association Study, Polycystic Ovary Syndrome genetics, Polycystic Ovary Syndrome complications
Abstract: Background: Polycystic ovary syndrome (PCOS) is a complex multifactorial disorder with a substantial genetic component. However, the clinical manifestations of PCOS are heterogeneous with notable differences between lean and obese women, implying a different pathophysiology manifesting in differential body mass index (BMI). We performed a meta-analysis of genome-wide association study (GWAS) data from six well-characterised cohorts, using a case-control study design stratified by BMI, aiming to identify genetic variants associated with lean and overweight/obese PCOS subtypes., Results: The study comprised 254,588 women (5,937 cases and 248,651 controls) from individual studies performed in Australia, Estonia, Finland, the Netherlands and United States of America, and separated according to three BMI stratifications (lean, overweight and obese). Genome-wide association analyses were performed for each stratification within each cohort, with the data for each BMI group meta-analysed using METAL software. Almost half of the total study population (47%, n = 119,584) were of lean BMI (≤ 25 kg/m 2 ). Two genome-wide significant loci were identified for lean PCOS, led by rs12000707 within DENND1A (P = 1.55 × 10 -12 ) and rs2228260 within XBP1 (P = 3.68 × 10 -8 ). One additional locus, LINC02905, was highlighted as significantly associated with lean PCOS through gene-based analyses (P = 1.76 × 10 -6 ). There were no significant loci observed for the overweight or obese sub-strata when analysed separately, however, when these strata were combined, an association signal led by rs569675099 within DENND1A reached genome-wide significance (P = 3.22 × 10 -9 ) and a gene-based association was identified with ERBB4 (P = 1.59 × 10 -6 ). Nineteen of 28 signals identified in previous GWAS, were replicated with consistent allelic effect in the lean stratum. There were less replicated signals in the overweight and obese groups, and only 4 SNPs were replicated in each of the three BMI strata., Conclusions: Genetic variation at the XBP1, LINC02905 and ERBB4 loci were associated with PCOS within unique BMI strata, while DENND1A demonstrated associations across multiple strata, providing evidence of both distinct and shared genetic features between lean and overweight/obese PCOS-affected women. This study demonstrated that PCOS-affected women with contrasting body weight are not only phenotypically distinct but also show variation in genetic architecture; lean PCOS women typically display elevated gonadotrophin ratios, lower insulin resistance, higher androgen levels, including adrenal androgens, and more favourable lipid profiles. Overall, these findings add to the growing body of evidence supporting a genetic basis for PCOS as well as differences in genetic patterns relevant to PCOS BMI-subtype., (© 2024. Crown.)
Published: 2024
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26. Observational and genetic associations between cardiorespiratory fitness and cancer: a UK Biobank and international consortia study.

Author: Watts EL, Gonzales TI, Strain T, Saint-Maurice PF, Bishop DT, Chanock SJ, Johansson M, Keku TO, Le Marchand L, Moreno V, Newcomb PA, Newton CC, Pai RK, Purdue MP, Ulrich CM, Smith-Byrne K, Van Guelpen B, Day FR, Wijndaele K, Wareham NJ, Matthews CE, Moore SC, and Brage S
Subjects: Male, Humans, Biological Specimen Banks, UK Biobank, Risk Factors, Cardiorespiratory Fitness, Breast Neoplasms epidemiology, Breast Neoplasms genetics, Colorectal Neoplasms epidemiology, Colorectal Neoplasms genetics, Colorectal Neoplasms diagnosis
Abstract: Background: The association of fitness with cancer risk is not clear., Methods: We used Cox proportional hazards models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for risk of lung, colorectal, endometrial, breast, and prostate cancer in a subset of UK Biobank participants who completed a submaximal fitness test in 2009-12 (N = 72,572). We also investigated relationships using two-sample Mendelian randomisation (MR), odds ratios (ORs) were estimated using the inverse-variance weighted method., Results: After a median of 11 years of follow-up, 4290 cancers of interest were diagnosed. A 3.5 ml O 2 ⋅min -1 ⋅kg -1 total-body mass increase in fitness (equivalent to 1 metabolic equivalent of task (MET), approximately 0.5 standard deviation (SD)) was associated with lower risks of endometrial (HR = 0.81, 95% CI: 0.73-0.89), colorectal (0.94, 0.90-0.99), and breast cancer (0.96, 0.92-0.99). In MR analyses, a 0.5 SD increase in genetically predicted O 2 ⋅min -1 ⋅kg -1 fat-free mass was associated with a lower risk of breast cancer (OR = 0.92, 95% CI: 0.86-0.98). After adjusting for adiposity, both the observational and genetic associations were attenuated., Discussion: Higher fitness levels may reduce risks of endometrial, colorectal, and breast cancer, though relationships with adiposity are complex and may mediate these relationships. Increasing fitness, including via changes in body composition, may be an effective strategy for cancer prevention., (© 2023. The Author(s).)
Published: 2024
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27. Associations of appetitive traits with growth velocities from infancy to childhood.

Author: Olwi DI, Day FR, Cheng TS, Olga L, Petry CJ, Hughes IA, Smith AD, and Ong KK
Subjects: Child, Humans, Infant, Adolescent, Adiposity, Emotions, Feeding Behavior, Obesity, Pleasure
Abstract: Several studies have reported associations between appetitive traits and weight gain during infancy or childhood, but none have directly compared these associations across both age periods. Here, we tested the associations between appetitive traits and growth velocities from birth to childhood. Appetitive trait data were collected using the Children's Eating Behaviour Questionnaire (CEBQ) in 149 children from the Cambridge Baby Growth Study at age 9-17 years. These participants also provided anthropometric measurements during infancy (birth, 3, 12, 18, and 24 months) and childhood (5 to 11 years). Standardized growth velocities (in weight, length/height, BMI, and body fat percentage) for 0-3 months, 3-24 months, and 24 months to childhood were estimated using individual linear-spline models. Associations between each of the eight CEBQ traits and each growth velocity were tested in separate multilevel linear regression models, adjusted for sex, age at CEBQ completion, and the corresponding birth measurement (weight, length, BMI, or body fat percentage). The three food-approach traits (food responsiveness, enjoyment of food and emotional overeating) were positively associated with infancy and childhood growth velocities in weight, BMI, and body fat percentage. By contrast, only one of the food-avoidant traits, satiety responsiveness, was negatively associated with all growth velocities. Significant associations were mostly of similar magnitude across all age periods. These findings reveal a broadly consistent relationship between appetitive traits with gains in weight and adiposity throughout infancy and childhood. Future interventions and strategies to prevent obesity may benefit from measuring appetitive traits in infants and children and targeting these as part of their programs., (© 2023. Springer Nature Limited.)
Published: 2023
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28. Large-scale exome sequence analysis identifies sex- and age-specific determinants of obesity.

Author: Kaisinger LR, Kentistou KA, Stankovic S, Gardner EJ, Day FR, Zhao Y, Mörseburg A, Carnie CJ, Zagnoli-Vieira G, Puddu F, Jackson SP, O'Rahilly S, Farooqi IS, Dearden L, Pantaleão LC, Ozanne SE, Ong KK, and Perry JRB
Abstract: Obesity contributes substantially to the global burden of disease and has a significant heritable component. Recent large-scale exome sequencing studies identified several genes in which rare, protein-coding variants have large effects on adult body mass index (BMI). Here we extended such work by performing sex-stratified associations in the UK Biobank study (N∼420,000). We identified genes in which rare heterozygous loss-of-function increases adult BMI in women ( DIDO1, PTPRG, and SLC12A5 ) and in men ( SLTM ), with effect sizes up to ∼8 kg/m 2 . This is complemented by analyses implicating rare variants in OBSCN and MADD for recalled childhood adiposity. The known functions of these genes, as well as findings of common variant genome-wide pathway enrichment analyses, suggest a role for neuron death, apoptosis, and DNA damage response mechanisms in the susceptibility to obesity across the life-course. These findings highlight the importance of considering sex-specific and life-course effects in the genetic regulation of obesity., Competing Interests: E.J.G., S.P.J., and J.R.B.P. are employees and shareholders of Adrestia Therapeutics Ltd., (© 2023 The Authors.)
Published: 2023
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29. Causal associations between cardiorespiratory fitness and type 2 diabetes.

Author: Cai L, Gonzales T, Wheeler E, Kerrison ND, Day FR, Langenberg C, Perry JRB, Brage S, and Wareham NJ
Subjects: Humans, Proteomics, Obesity, Risk Factors, Diabetes Mellitus, Type 2 genetics, Cardiorespiratory Fitness physiology
Abstract: Higher cardiorespiratory fitness is associated with lower risk of type 2 diabetes. However, the causality of this relationship and the biological mechanisms that underlie it are unclear. Here, we examine genetic determinants of cardiorespiratory fitness in 450k European-ancestry individuals in UK Biobank, by leveraging the genetic overlap between fitness measured by an exercise test and resting heart rate. We identified 160 fitness-associated loci which we validated in an independent cohort, the Fenland study. Gene-based analyses prioritised candidate genes, such as CACNA1C, SCN10A, MYH11 and MYH6, that are enriched in biological processes related to cardiac muscle development and muscle contractility. In a Mendelian Randomisation framework, we demonstrate that higher genetically predicted fitness is causally associated with lower risk of type 2 diabetes independent of adiposity. Integration with proteomic data identified N-terminal pro B-type natriuretic peptide, hepatocyte growth factor-like protein and sex hormone-binding globulin as potential mediators of this relationship. Collectively, our findings provide insights into the biological mechanisms underpinning cardiorespiratory fitness and highlight the importance of improving fitness for diabetes prevention., (© 2023. The Author(s).)
Published: 2023
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30. Penetrance of pathogenic genetic variants associated with premature ovarian insufficiency.

Author: Shekari S, Stankovic S, Gardner EJ, Hawkes G, Kentistou KA, Beaumont RN, Mörseburg A, Wood AR, Prague JK, Mishra GD, Day FR, Baptista J, Wright CF, Weedon MN, Hoffmann ER, Ruth KS, Ong KK, Perry JRB, and Murray A
Subjects: Female, Humans, Adult, Penetrance, Basic Helix-Loop-Helix Transcription Factors genetics, Primary Ovarian Insufficiency genetics, Primary Ovarian Insufficiency complications, Primary Ovarian Insufficiency pathology, Menopause, Premature genetics
Abstract: Premature ovarian insufficiency (POI) affects 1% of women and is a leading cause of infertility. It is often considered to be a monogenic disorder, with pathogenic variants in ~100 genes described in the literature. We sought to systematically evaluate the penetrance of variants in these genes using exome sequence data in 104,733 women from the UK Biobank, 2,231 (1.14%) of whom reported at natural menopause under the age of 40 years. We found limited evidence to support any previously reported autosomal dominant effect. For nearly all heterozygous effects on previously reported POI genes, we ruled out even modest penetrance, with 99.9% (13,699 out of 13,708) of all protein-truncating variants found in reproductively healthy women. We found evidence of haploinsufficiency effects in several genes, including TWNK (1.54 years earlier menopause, P = 1.59 × 10 -6 ) and SOHLH2 (3.48 years earlier menopause, P = 1.03 × 10 -4 ). Collectively, our results suggest that, for the vast majority of women, POI is not caused by autosomal dominant variants either in genes previously reported or currently evaluated in clinical diagnostic panels. Our findings, plus previous studies, suggest that most POI cases are likely oligogenic or polygenic in nature, which has important implications for future clinical genetic studies, and genetic counseling for families affected by POI., (© 2023. The Author(s), under exclusive licence to Springer Nature America, Inc.)
Published: 2023
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31. 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
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32. 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
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33. Damaging missense variants in IGF1R implicate a role for IGF-1 resistance in the etiology of type 2 diabetes.

Author: Gardner EJ, Kentistou KA, Stankovic S, Lockhart S, Wheeler E, Day FR, Kerrison ND, Wareham NJ, Langenberg C, O'Rahilly S, Ong KK, and Perry JRB
Abstract: Type 2 diabetes (T2D) is a heritable metabolic disorder. While population studies have identified hundreds of common genetic variants associated with T2D, the role of rare (frequency < 0.1%) protein-coding variation is less clear. We performed exome sequence analysis in 418,436 (n = 32,374 T2D cases) individuals in the UK Biobank. We identified previously reported genes ( GCK , GIGYF1 , HNF1A ) in addition to missense variants in ZEB2 (n = 31 carriers; odds ratio [OR] = 5.5 [95% confidence interval = 2.5-12.0]; p = 6.4 × 10 -7 ), MLXIPL (n = 245; OR = 2.3 [1.6-3.2]; p = 3.2 × 10 -7 ), and IGF1R (n = 394; OR = 2.4 [1.8-3.2]; p = 1.3 × 10 -10 ). Carriers of damaging missense variants within IGF1R were also shorter (-2.2 cm [-1.8 to -2.7]; p = 1.2 × 10 -19 ) and had higher circulating insulin-like growth factor-1 (IGF-1) protein levels (2.3 nmol/L [1.7-2.9]; p = 2.8 × 10 -14 ), indicating relative IGF-1 resistance. A likely causal role of IGF-1 resistance was supported by Mendelian randomization analyses using common variants. These results increase understanding of the genetic architecture of T2D and highlight the growth hormone/IGF-1 axis as a potential therapeutic target., Competing Interests: E.J.G. and J.R.B.P. are employees of and hold shares in Adrestia Therapeutics., (© 2022 The Authors.)
Published: 2022
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34. Detection and characterization of male sex chromosome abnormalities in the UK Biobank study.

Author: Zhao Y, Gardner EJ, Tuke MA, Zhang H, Pietzner M, Koprulu M, Jia RY, Ruth KS, Wood AR, Beaumont RN, Tyrrell J, Jones SE, Lango Allen H, Day FR, Langenberg C, Frayling TM, Weedon MN, Perry JRB, Ong KK, and Murray A
Subjects: Biological Specimen Banks, Humans, Male, Sex Chromosome Aberrations, United Kingdom epidemiology, XYY Karyotype, Diabetes Mellitus, Type 2, Klinefelter Syndrome diagnosis, Klinefelter Syndrome epidemiology, Klinefelter Syndrome genetics
Abstract: Purpose: The study aimed to systematically ascertain male sex chromosome abnormalities, 47,XXY (Klinefelter syndrome [KS]) and 47,XYY, and characterize their risks of adverse health outcomes., Methods: We analyzed genotyping array or exome sequence data in 207,067 men of European ancestry aged 40 to 70 years from the UK Biobank and related these to extensive routine health record data., Results: Only 49 of 213 (23%) of men whom we identified with KS and only 1 of 143 (0.7%) with 47,XYY had a diagnosis of abnormal karyotype on their medical records or self-report. We observed expected associations for KS with reproductive dysfunction (late puberty: risk ratio [RR] = 2.7; childlessness: RR = 4.2; testosterone concentration: RR = -3.8 nmol/L, all P < 2 × 10 -8 ), whereas XYY men appeared to have normal reproductive function. Despite this difference, we identified several higher disease risks shared across both KS and 47,XYY, including type 2 diabetes (RR = 3.0 and 2.6, respectively), venous thrombosis (RR = 6.4 and 7.4, respectively), pulmonary embolism (RR = 3.3 and 3.7, respectively), and chronic obstructive pulmonary disease (RR = 4.4 and 4.6, respectively) (all P < 7 × 10 -6 )., Conclusion: KS and 47,XYY were mostly unrecognized but conferred substantially higher risks for metabolic, vascular, and respiratory diseases, which were only partially explained by higher levels of body mass index, deprivation, and smoking., Competing Interests: Conflict of Interest The authors declare no conflicts of interest., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2022
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35. Using genetic variation to disentangle the complex relationship between food intake and health outcomes.

Author: Pirastu N, McDonnell C, Grzeszkowiak EJ, Mounier N, Imamura F, Merino J, Day FR, Zheng J, Taba N, Concas MP, Repetto L, Kentistou KA, Robino A, Esko T, Joshi PK, Fischer K, Ong KK, Gaunt TR, Kutalik Z, Perry JRB, and Wilson JF
Subjects: Causality, Humans, Outcome Assessment, Health Care, Risk Factors, Eating, Genetic Variation
Abstract: Diet is considered as one of the most important modifiable factors influencing human health, but efforts to identify foods or dietary patterns associated with health outcomes often suffer from biases, confounding, and reverse causation. Applying Mendelian randomization in this context may provide evidence to strengthen causality in nutrition research. To this end, we first identified 283 genetic markers associated with dietary intake in 445,779 UK Biobank participants. We then converted these associations into direct genetic effects on food exposures by adjusting them for effects mediated via other traits. The SNPs which did not show evidence of mediation were then used for MR, assessing the association between genetically predicted food choices and other risk factors, health outcomes. We show that using all associated SNPs without omitting those which show evidence of mediation, leads to biases in downstream analyses (genetic correlations, causal inference), similar to those present in observational studies. However, MR analyses using SNPs which have only a direct effect on the exposure on food exposures provided unequivocal evidence of causal associations between specific eating patterns and obesity, blood lipid status, and several other risk factors and health outcomes., Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: Dr Joshi is a paid consultant to Global Gene Corp and Humanity Inc.
Published: 2022
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36. Epigenome-wide association study of incident type 2 diabetes: a meta-analysis of five prospective European cohorts.

Author: Fraszczyk E, Spijkerman AMW, Zhang Y, Brandmaier S, Day FR, Zhou L, Wackers P, Dollé MET, Bloks VW, Gào X, Gieger C, Kooner J, Kriebel J, Picavet HSJ, Rathmann W, Schöttker B, Loh M, Verschuren WMM, van Vliet-Ostaptchouk JV, Wareham NJ, Chambers JC, Ong KK, Grallert H, Brenner H, Luijten M, and Snieder H
Subjects: CpG Islands genetics, DNA Methylation genetics, Epigenesis, Genetic genetics, Genome-Wide Association Study, Humans, Prospective Studies, Diabetes Mellitus, Type 2 epidemiology, Diabetes Mellitus, Type 2 genetics, Epigenome
Abstract: Aims/hypothesis: Type 2 diabetes is a complex metabolic disease with increasing prevalence worldwide. Improving the prediction of incident type 2 diabetes using epigenetic markers could help tailor prevention efforts to those at the highest risk. The aim of this study was to identify predictive methylation markers for incident type 2 diabetes by combining epigenome-wide association study (EWAS) results from five prospective European cohorts., Methods: We conducted a meta-analysis of EWASs in blood collected 7-10 years prior to type 2 diabetes diagnosis. DNA methylation was measured with Illumina Infinium Methylation arrays. A total of 1250 cases and 1950 controls from five longitudinal cohorts were included: Doetinchem, ESTHER, KORA1, KORA2 and EPIC-Norfolk. Associations between DNA methylation and incident type 2 diabetes were examined using robust linear regression with adjustment for potential confounders. Inverse-variance fixed-effects meta-analysis of cohort-level individual CpG EWAS estimates was performed using METAL. The methylGSA R package was used for gene set enrichment analysis. Confirmation of genome-wide significant CpG sites was performed in a cohort of Indian Asians (LOLIPOP, UK)., Results: The meta-analysis identified 76 CpG sites that were differentially methylated in individuals with incident type 2 diabetes compared with control individuals (p values <1.1 × 10 -7 ). Sixty-four out of 76 (84.2%) CpG sites were confirmed by directionally consistent effects and p values <0.05 in an independent cohort of Indian Asians. However, on adjustment for baseline BMI only four CpG sites remained genome-wide significant, and addition of the 76 CpG methylation risk score to a prediction model including established predictors of type 2 diabetes (age, sex, BMI and HbA 1c ) showed no improvement (AUC 0.757 vs 0.753). Gene set enrichment analysis of the full epigenome-wide results clearly showed enrichment of processes linked to insulin signalling, lipid homeostasis and inflammation., Conclusions/interpretation: By combining results from five European cohorts, and thus significantly increasing study sample size, we identified 76 CpG sites associated with incident type 2 diabetes. Replication of 64 CpGs in an independent cohort of Indian Asians suggests that the association between DNA methylation levels and incident type 2 diabetes is robust and independent of ethnicity. Our data also indicate that BMI partly explains the association between DNA methylation and incident type 2 diabetes. Further studies are required to elucidate the underlying biological mechanisms and to determine potential causal roles of the differentially methylated CpG sites in type 2 diabetes development., (© 2022. The Author(s).)
Published: 2022
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37. Identification of Rare Loss-of-Function Genetic Variation Regulating Body Fat Distribution.

Author: Koprulu M, Zhao Y, Wheeler E, Dong L, Rocha N, Li C, Griffin JD, Patel S, Van de Streek M, Glastonbury CA, Stewart ID, Day FR, Luan J, Bowker N, Wittemans LBL, Kerrison ND, Cai L, Lucarelli DME, Barroso I, McCarthy MI, Scott RA, Saudek V, Small KS, Wareham NJ, Semple RK, Perry JRB, O'Rahilly S, Lotta LA, Langenberg C, and Savage DB
Subjects: Activin Receptors, Type I genetics, Body Fat Distribution, Exome, Genetic Variation, Genome-Wide Association Study, Humans, Diabetes Mellitus, Type 2 genetics
Abstract: Context: Biological and translational insights from large-scale, array-based genetic studies of fat distribution, a key determinant of metabolic health, have been limited by the difficulty in linking predominantly noncoding variants to specific gene targets. Rare coding variant analyses provide greater confidence that a specific gene is involved, but do not necessarily indicate whether gain or loss of function (LoF) would be of most therapeutic benefit., Objective: This work aimed to identify genes/proteins involved in determining fat distribution., Methods: We combined the power of genome-wide analysis of array-based rare, nonsynonymous variants in 450 562 individuals in the UK Biobank with exome-sequence-based rare LoF gene burden testing in 184 246 individuals., Results: The data indicate that the LoF of 4 genes (PLIN1 [LoF variants, P = 5.86 × 10-7], INSR [LoF variants, P = 6.21 × 10-7], ACVR1C [LoF + moderate impact variants, P = 1.68 × 10-7; moderate impact variants, P = 4.57 × 10-7], and PDE3B [LoF variants, P = 1.41 × 10-6]) is associated with a beneficial effect on body mass index-adjusted waist-to-hip ratio and increased gluteofemoral fat mass, whereas LoF of PLIN4 (LoF variants, P = 5.86 × 10-7 adversely affects these parameters. Phenotypic follow-up suggests that LoF of PLIN1, PDE3B, and ACVR1C favorably affects metabolic phenotypes (eg, triglycerides [TGs] and high-density lipoprotein [HDL] cholesterol concentrations) and reduces the risk of cardiovascular disease, whereas PLIN4 LoF has adverse health consequences. INSR LoF is associated with lower TG and HDL levels but may increase the risk of type 2 diabetes., Conclusion: This study robustly implicates these genes in the regulation of fat distribution, providing new and in some cases somewhat counterintuitive insight into the potential consequences of targeting these molecules therapeutically., (© The Author(s) 2021. Published by Oxford University Press on behalf of the Endocrine Society.)
Published: 2022
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38. Identification of 371 genetic variants for age at first sex and birth linked to externalising behaviour.

Author: Mills MC, Tropf FC, Brazel DM, van Zuydam N, Vaez A, Pers TH, Snieder H, Perry JRB, Ong KK, den Hoed M, Barban N, and Day FR
Subjects: Adolescent, Age Factors, Female, Genetic Association Studies, Humans, Male, Reproduction genetics, Coitus physiology, Parturition genetics, Polymorphism, Single Nucleotide
Abstract: Age at first sexual intercourse and age at first birth have implications for health and evolutionary fitness. In this genome-wide association study (age at first sexual intercourse, N = 387,338; age at first birth, N = 542,901), we identify 371 single-nucleotide polymorphisms, 11 sex-specific, with a 5-6% polygenic score prediction. Heritability of age at first birth shifted from 9% [CI = 4-14%] for women born in 1940 to 22% [CI = 19-25%] for those born in 1965. Signals are driven by the genetics of reproductive biology and externalising behaviour, with key genes related to follicle stimulating hormone (FSHB), implantation (ESR1), infertility and spermatid differentiation. Our findings suggest that polycystic ovarian syndrome may lead to later age at first birth, linking with infertility. Late age at first birth is associated with parental longevity and reduced incidence of type 2 diabetes and cardiovascular disease. Higher childhood socioeconomic circumstances and those in the highest polygenic score decile (90%+) experience markedly later reproductive onset. Results are relevant for improving teenage and late-life health, understanding longevity and guiding experimentation into mechanisms of infertility., (© 2021. The Author(s), under exclusive licence to Springer Nature Limited.)
Published: 2021
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39. MC3R links nutritional state to childhood growth and the timing of puberty.

Author: Lam BYH, Williamson A, Finer S, Day FR, Tadross JA, Gonçalves Soares A, Wade K, Sweeney P, Bedenbaugh MN, Porter DT, Melvin A, Ellacott KLJ, Lippert RN, Buller S, Rosmaninho-Salgado J, Dowsett GKC, Ridley KE, Xu Z, Cimino I, Rimmington D, Rainbow K, Duckett K, Holmqvist S, Khan A, Dai X, Bochukova EG, Trembath RC, Martin HC, Coll AP, Rowitch DH, Wareham NJ, van Heel DA, Timpson N, Simerly RB, Ong KK, Cone RD, Langenberg C, Perry JRB, Yeo GS, and O'Rahilly S
Subjects: Adolescent, Aged, 80 and over, Animals, Child, Estrous Cycle genetics, Estrous Cycle physiology, Female, Homozygote, Humans, Hypothalamus cytology, Hypothalamus physiology, Insulin-Like Growth Factor I metabolism, Male, Melanocortins metabolism, Menarche genetics, Menarche physiology, Mice, Phenotype, Puberty genetics, Receptor, Melanocortin, Type 3 deficiency, Receptor, Melanocortin, Type 3 genetics, Sexual Maturation genetics, Time Factors, Weight Gain, Child Development physiology, Nutritional Status physiology, Puberty physiology, Receptor, Melanocortin, Type 3 metabolism, Sexual Maturation physiology
Abstract: The state of somatic energy stores in metazoans is communicated to the brain, which regulates key aspects of behaviour, growth, nutrient partitioning and development 1 . The central melanocortin system acts through melanocortin 4 receptor (MC4R) to control appetite, food intake and energy expenditure 2 . Here we present evidence that MC3R regulates the timing of sexual maturation, the rate of linear growth and the accrual of lean mass, which are all energy-sensitive processes. We found that humans who carry loss-of-function mutations in MC3R, including a rare homozygote individual, have a later onset of puberty. Consistent with previous findings in mice, they also had reduced linear growth, lean mass and circulating levels of IGF1. Mice lacking Mc3r had delayed sexual maturation and an insensitivity of reproductive cycle length to nutritional perturbation. The expression of Mc3r is enriched in hypothalamic neurons that control reproduction and growth, and expression increases during postnatal development in a manner that is consistent with a role in the regulation of sexual maturation. These findings suggest a bifurcating model of nutrient sensing by the central melanocortin pathway with signalling through MC4R controlling the acquisition and retention of calories, whereas signalling through MC3R primarily regulates the disposition of calories into growth, lean mass and the timing of sexual maturation., (© 2021. The Author(s), under exclusive licence to Springer Nature Limited.)
Published: 2021
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40. Genomic and phenotypic insights from an atlas of genetic effects on DNA methylation.

Author: Min JL, Hemani G, Hannon E, Dekkers KF, Castillo-Fernandez J, Luijk R, Carnero-Montoro E, Lawson DJ, Burrows K, Suderman M, Bretherick AD, Richardson TG, Klughammer J, Iotchkova V, Sharp G, Al Khleifat A, Shatunov A, Iacoangeli A, McArdle WL, Ho KM, Kumar A, Söderhäll C, Soriano-Tárraga C, Giralt-Steinhauer E, Kazmi N, Mason D, McRae AF, Corcoran DL, Sugden K, Kasela S, Cardona A, Day FR, Cugliari G, Viberti C, Guarrera S, Lerro M, Gupta R, Bollepalli S, Mandaviya P, Zeng Y, Clarke TK, Walker RM, Schmoll V, Czamara D, Ruiz-Arenas C, Rezwan FI, Marioni RE, Lin T, Awaloff Y, Germain M, Aïssi D, Zwamborn R, van Eijk K, Dekker A, van Dongen J, Hottenga JJ, Willemsen G, Xu CJ, Barturen G, Català-Moll F, Kerick M, Wang C, Melton P, Elliott HR, Shin J, Bernard M, Yet I, Smart M, Gorrie-Stone T, Shaw C, Al Chalabi A, Ring SM, Pershagen G, Melén E, Jiménez-Conde J, Roquer J, Lawlor DA, Wright J, Martin NG, Montgomery GW, Moffitt TE, Poulton R, Esko T, Milani L, Metspalu A, Perry JRB, Ong KK, Wareham NJ, Matullo G, Sacerdote C, Panico S, Caspi A, Arseneault L, Gagnon F, Ollikainen M, Kaprio J, Felix JF, Rivadeneira F, Tiemeier H, van IJzendoorn MH, Uitterlinden AG, Jaddoe VWV, Haley C, McIntosh AM, Evans KL, Murray A, Räikkönen K, Lahti J, Nohr EA, Sørensen TIA, Hansen T, Morgen CS, Binder EB, Lucae S, Gonzalez JR, Bustamante M, Sunyer J, Holloway JW, Karmaus W, Zhang H, Deary IJ, Wray NR, Starr JM, Beekman M, van Heemst D, Slagboom PE, Morange PE, Trégouët DA, Veldink JH, Davies GE, de Geus EJC, Boomsma DI, Vonk JM, Brunekreef B, Koppelman GH, Alarcón-Riquelme ME, Huang RC, Pennell CE, van Meurs J, Ikram MA, Hughes AD, Tillin T, Chaturvedi N, Pausova Z, Paus T, Spector TD, Kumari M, Schalkwyk LC, Visscher PM, Davey Smith G, Bock C, Gaunt TR, Bell JT, Heijmans BT, Mill J, and Relton CL
Subjects: Chromosome Mapping, Epigenesis, Genetic genetics, Genome-Wide Association Study, Humans, Multifactorial Inheritance genetics, Polymorphism, Single Nucleotide genetics, Quantitative Trait, Heritable, Transcriptome genetics, DNA metabolism, DNA Methylation genetics, Gene Expression Regulation genetics, Genetic Predisposition to Disease genetics, Quantitative Trait Loci genetics
Abstract: Characterizing genetic influences on DNA methylation (DNAm) provides an opportunity to understand mechanisms underpinning gene regulation and disease. In the present study, we describe results of DNAm quantitative trait locus (mQTL) analyses on 32,851 participants, identifying genetic variants associated with DNAm at 420,509 DNAm sites in blood. We present a database of >270,000 independent mQTLs, of which 8.5% comprise long-range (trans) associations. Identified mQTL associations explain 15-17% of the additive genetic variance of DNAm. We show that the genetic architecture of DNAm levels is highly polygenic. Using shared genetic control between distal DNAm sites, we constructed networks, identifying 405 discrete genomic communities enriched for genomic annotations and complex traits. Shared genetic variants are associated with both DNAm levels and complex diseases, but only in a minority of cases do these associations reflect causal relationships from DNAm to trait or vice versa, indicating a more complex genotype-phenotype map than previously anticipated., (© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.)
Published: 2021
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41. Genetic insights into biological mechanisms governing human ovarian ageing.

Author: Ruth KS, Day FR, Hussain J, Martínez-Marchal A, Aiken CE, Azad A, Thompson DJ, Knoblochova L, Abe H, Tarry-Adkins JL, Gonzalez JM, Fontanillas P, Claringbould A, Bakker OB, Sulem P, Walters RG, Terao C, Turon S, Horikoshi M, Lin K, Onland-Moret NC, Sankar A, Hertz EPT, Timshel PN, Shukla V, Borup R, Olsen KW, Aguilera P, Ferrer-Roda M, Huang Y, Stankovic S, Timmers PRHJ, Ahearn TU, Alizadeh BZ, Naderi E, Andrulis IL, Arnold AM, Aronson KJ, Augustinsson A, Bandinelli S, Barbieri CM, Beaumont RN, Becher H, Beckmann MW, Benonisdottir S, Bergmann S, Bochud M, Boerwinkle E, Bojesen SE, Bolla MK, Boomsma DI, Bowker N, Brody JA, Broer L, Buring JE, Campbell A, Campbell H, Castelao JE, Catamo E, Chanock SJ, Chenevix-Trench G, Ciullo M, Corre T, Couch FJ, Cox A, Crisponi L, Cross SS, Cucca F, Czene K, Smith GD, de Geus EJCN, de Mutsert R, De Vivo I, Demerath EW, Dennis J, Dunning AM, Dwek M, Eriksson M, Esko T, Fasching PA, Faul JD, Ferrucci L, Franceschini N, Frayling TM, Gago-Dominguez M, Mezzavilla M, García-Closas M, Gieger C, Giles GG, Grallert H, Gudbjartsson DF, Gudnason V, Guénel P, Haiman CA, Håkansson N, Hall P, Hayward C, He C, He W, Heiss G, Høffding MK, Hopper JL, Hottenga JJ, Hu F, Hunter D, Ikram MA, Jackson RD, Joaquim MDR, John EM, Joshi PK, Karasik D, Kardia SLR, Kartsonaki C, Karlsson R, Kitahara CM, Kolcic I, Kooperberg C, Kraft P, Kurian AW, Kutalik Z, La Bianca M, LaChance G, Langenberg C, Launer LJ, Laven JSE, Lawlor DA, Le Marchand L, Li J, Lindblom A, Lindstrom S, Lindstrom T, Linet M, Liu Y, Liu S, Luan J, Mägi R, Magnusson PKE, Mangino M, Mannermaa A, Marco B, Marten J, Martin NG, Mbarek H, McKnight B, Medland SE, Meisinger C, Meitinger T, Menni C, Metspalu A, Milani L, Milne RL, Montgomery GW, Mook-Kanamori DO, Mulas A, Mulligan AM, Murray A, Nalls MA, Newman A, Noordam R, Nutile T, Nyholt DR, Olshan AF, Olsson H, Painter JN, Patel AV, Pedersen NL, Perjakova N, Peters A, Peters U, Pharoah PDP, Polasek O, Porcu E, Psaty BM, Rahman I, Rennert G, Rennert HS, Ridker PM, Ring SM, Robino A, Rose LM, Rosendaal FR, Rossouw J, Rudan I, Rueedi R, Ruggiero D, Sala CF, Saloustros E, Sandler DP, Sanna S, Sawyer EJ, Sarnowski C, Schlessinger D, Schmidt MK, Schoemaker MJ, Schraut KE, Scott C, Shekari S, Shrikhande A, Smith AV, Smith BH, Smith JA, Sorice R, Southey MC, Spector TD, Spinelli JJ, Stampfer M, Stöckl D, van Meurs JBJ, Strauch K, Styrkarsdottir U, Swerdlow AJ, Tanaka T, Teras LR, Teumer A, Þorsteinsdottir U, Timpson NJ, Toniolo D, Traglia M, Troester MA, Truong T, Tyrrell J, Uitterlinden AG, Ulivi S, Vachon CM, Vitart V, Völker U, Vollenweider P, Völzke H, Wang Q, Wareham NJ, Weinberg CR, Weir DR, Wilcox AN, van Dijk KW, Willemsen G, Wilson JF, Wolffenbuttel BHR, Wolk A, Wood AR, Zhao W, Zygmunt M, Chen Z, Li L, Franke L, Burgess S, Deelen P, Pers TH, Grøndahl ML, Andersen CY, Pujol A, Lopez-Contreras AJ, Daniel JA, Stefansson K, Chang-Claude J, van der Schouw YT, Lunetta KL, Chasman DI, Easton DF, Visser JA, Ozanne SE, Namekawa SH, Solc P, Murabito JM, Ong KK, Hoffmann ER, Murray A, Roig I, and Perry JRB
Subjects: Adult, Alleles, Animals, Bone and Bones metabolism, Checkpoint Kinase 1 genetics, Checkpoint Kinase 2 genetics, Diabetes Mellitus, Type 2, Diet, Europe ethnology, Asia, Eastern ethnology, Female, Fertility genetics, Fragile X Mental Retardation Protein genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Healthy Aging genetics, Humans, Longevity genetics, Menopause genetics, Menopause, Premature genetics, Mice, Mice, Inbred C57BL, Middle Aged, Primary Ovarian Insufficiency genetics, Uterus, Aging genetics, Ovary metabolism
Abstract: Reproductive longevity is essential for fertility and influences healthy ageing in women 1,2 , but insights into its underlying biological mechanisms and treatments to preserve it are limited. Here we identify 290 genetic determinants of ovarian ageing, assessed using normal variation in age at natural menopause (ANM) in about 200,000 women of European ancestry. These common alleles were associated with clinical extremes of ANM; women in the top 1% of genetic susceptibility have an equivalent risk of premature ovarian insufficiency to those carrying monogenic FMR1 premutations 3 . The identified loci implicate a broad range of DNA damage response (DDR) processes and include loss-of-function variants in key DDR-associated genes. Integration with experimental models demonstrates that these DDR processes act across the life-course to shape the ovarian reserve and its rate of depletion. Furthermore, we demonstrate that experimental manipulation of DDR pathways highlighted by human genetics increases fertility and extends reproductive life in mice. Causal inference analyses using the identified genetic variants indicate that extending reproductive life in women improves bone health and reduces risk of type 2 diabetes, but increases the risk of hormone-sensitive cancers. These findings provide insight into the mechanisms that govern ovarian ageing, when they act, and how they might be targeted by therapeutic approaches to extend fertility and prevent disease., (© 2021. The Author(s), under exclusive licence to Springer Nature Limited.)
Published: 2021
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42. Publisher Correction: Identification of 371 genetic variants for age at first sex and birth linked to externalising behavior.

Author: Mills MC, Tropf FC, Brazel DM, van Zuydam N, Vaez A, Pers TH, Snieder H, Perry JRB, Ong KK, den Hoed M, Barban N, and Day FR
Published: 2021
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43. Genetic association study of childhood aggression across raters, instruments, and age.

Author: Ip HF, van der Laan CM, Krapohl EML, Brikell I, Sánchez-Mora C, Nolte IM, St Pourcain B, Bolhuis K, Palviainen T, Zafarmand H, Colodro-Conde L, Gordon S, Zayats T, Aliev F, Jiang C, Wang CA, Saunders G, Karhunen V, Hammerschlag AR, Adkins DE, Border R, Peterson RE, Prinz JA, Thiering E, Seppälä I, Vilor-Tejedor N, Ahluwalia TS, Day FR, Hottenga JJ, Allegrini AG, Rimfeld K, Chen Q, Lu Y, Martin J, Soler Artigas M, Rovira P, Bosch R, Español G, Ramos Quiroga JA, Neumann A, Ensink J, Grasby K, Morosoli JJ, Tong X, Marrington S, Middeldorp C, Scott JG, Vinkhuyzen A, Shabalin AA, Corley R, Evans LM, Sugden K, Alemany S, Sass L, Vinding R, Ruth K, Tyrrell J, Davies GE, Ehli EA, Hagenbeek FA, De Zeeuw E, Van Beijsterveldt TCEM, Larsson H, Snieder H, Verhulst FC, Amin N, Whipp AM, Korhonen T, Vuoksimaa E, Rose RJ, Uitterlinden AG, Heath AC, Madden P, Haavik J, Harris JR, Helgeland Ø, Johansson S, Knudsen GPS, Njolstad PR, Lu Q, Rodriguez A, Henders AK, Mamun A, Najman JM, Brown S, Hopfer C, Krauter K, Reynolds C, Smolen A, Stallings M, Wadsworth S, Wall TL, Silberg JL, Miller A, Keltikangas-Järvinen L, Hakulinen C, Pulkki-Råback L, Havdahl A, Magnus P, Raitakari OT, Perry JRB, Llop S, Lopez-Espinosa MJ, Bønnelykke K, Bisgaard H, Sunyer J, Lehtimäki T, Arseneault L, Standl M, Heinrich J, Boden J, Pearson J, Horwood LJ, Kennedy M, Poulton R, Eaves LJ, Maes HH, Hewitt J, Copeland WE, Costello EJ, Williams GM, Wray N, Järvelin MR, McGue M, Iacono W, Caspi A, Moffitt TE, Whitehouse A, Pennell CE, Klump KL, Burt SA, Dick DM, Reichborn-Kjennerud T, Martin NG, Medland SE, Vrijkotte T, Kaprio J, Tiemeier H, Davey Smith G, Hartman CA, Oldehinkel AJ, Casas M, Ribasés M, Lichtenstein P, Lundström S, Plomin R, Bartels M, Nivard MG, and Boomsma DI
Subjects: Adolescent, Child, Child, Preschool, Female, Genetic Association Studies, Genome-Wide Association Study, Humans, Infant, Retrospective Studies, Aggression, Mental Disorders
Abstract: Childhood aggressive behavior (AGG) has a substantial heritability of around 50%. Here we present a genome-wide association meta-analysis (GWAMA) of childhood AGG, in which all phenotype measures across childhood ages from multiple assessors were included. We analyzed phenotype assessments for a total of 328 935 observations from 87 485 children aged between 1.5 and 18 years, while accounting for sample overlap. We also meta-analyzed within subsets of the data, i.e., within rater, instrument and age. SNP-heritability for the overall meta-analysis (AGG overall ) was 3.31% (SE = 0.0038). We found no genome-wide significant SNPs for AGG overall . The gene-based analysis returned three significant genes: ST3GAL3 (P = 1.6E-06), PCDH7 (P = 2.0E-06), and IPO13 (P = 2.5E-06). All three genes have previously been associated with educational traits. Polygenic scores based on our GWAMA significantly predicted aggression in a holdout sample of children (variance explained = 0.44%) and in retrospectively assessed childhood aggression (variance explained = 0.20%). Genetic correlations (r g ) among rater-specific assessment of AGG ranged from r g = 0.46 between self- and teacher-assessment to r g = 0.81 between mother- and teacher-assessment. We obtained moderate-to-strong r g s with selected phenotypes from multiple domains, but hardly with any of the classical biomarkers thought to be associated with AGG. Significant genetic correlations were observed with most psychiatric and psychological traits (range [Formula: see text]: 0.19-1.00), except for obsessive-compulsive disorder. Aggression had a negative genetic correlation (r g = ~-0.5) with cognitive traits and age at first birth. Aggression was strongly genetically correlated with smoking phenotypes (range [Formula: see text]: 0.46-0.60). The genetic correlations between aggression and psychiatric disorders were weaker for teacher-reported AGG than for mother- and self-reported AGG. The current GWAMA of childhood aggression provides a powerful tool to interrogate the rater-specific genetic etiology of AGG., (© 2021. The Author(s).)
Published: 2021
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44. GIGYF1 loss of function is associated with clonal mosaicism and adverse metabolic health.

Author: Zhao Y, Stankovic S, Koprulu M, Wheeler E, Day FR, Lango Allen H, Kerrison ND, Pietzner M, Loh PR, Wareham NJ, Langenberg C, Ong KK, and Perry JRB
Subjects: Adult, Aged, Carrier Proteins metabolism, Case-Control Studies, DNA Mutational Analysis, Diabetes Mellitus, Type 2 metabolism, Female, Genome-Wide Association Study, Humans, Insulin metabolism, Leukocytes, Loss of Function Mutation, Male, Middle Aged, Receptor, IGF Type 1 metabolism, Signal Transduction genetics, Exome Sequencing, Carrier Proteins genetics, Chromosomes, Human, Y genetics, Diabetes Mellitus, Type 2 genetics, Genetic Predisposition to Disease, Mosaicism
Abstract: Mosaic loss of chromosome Y (LOY) in leukocytes is the most common form of clonal mosaicism, caused by dysregulation in cell-cycle and DNA damage response pathways. Previous genetic studies have focussed on identifying common variants associated with LOY, which we now extend to rarer, protein-coding variation using exome sequences from 82,277 male UK Biobank participants. We find that loss of function of two genes-CHEK2 and GIGYF1-reach exome-wide significance. Rare alleles in GIGYF1 have not previously been implicated in any complex trait, but here loss-of-function carriers exhibit six-fold higher susceptibility to LOY (OR = 5.99 [3.04-11.81], p = 1.3 × 10 -10 ). These same alleles are also associated with adverse metabolic health, including higher susceptibility to Type 2 Diabetes (OR = 6.10 [3.51-10.61], p = 1.8 × 10 -12 ), 4 kg higher fat mass (p = 1.3 × 10 -4 ), 2.32 nmol/L lower serum IGF1 levels (p = 1.5 × 10 -4 ) and 4.5 kg lower handgrip strength (p = 4.7 × 10 -7 ) consistent with proposed GIGYF1 enhancement of insulin and IGF-1 receptor signalling. These associations are mirrored by a common variant nearby associated with the expression of GIGYF1. Our observations highlight a potential direct connection between clonal mosaicism and metabolic health.
Published: 2021
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45. Positive maternal attitudes to following healthy infant feeding guidelines attenuate the associations between infant appetitive traits and both infant milk intake and weight.

Author: Clifton EAD, Ahern AL, Day FR, Sharp SJ, Griffin SJ, Ong KK, and Rajalakshmi Lakshman
Subjects: Animals, Attitude, Body Weight, Breast Feeding, Cross-Sectional Studies, Female, Humans, Infant, Milk, Mothers
Abstract: Appetitive traits influence food intake and weight gain throughout the life-course. Here, we investigated whether maternal attitudes to following healthy infant feeding guidelines could modify this association. Baseline data from 544 mother-infant formula-feeding dyads recruited to the Baby Milk Trial were included in this observational, cross-sectional analysis. Infant appetitive traits (food responsiveness and satiety responsiveness), maternal attitudes to following healthy infant feeding guidelines (self-efficacy, outcome-expectancy, intentions) and infant milk intakes were reported by mothers through questionnaires. Infant weight was measured using standard procedures. Associations between the maternal attitudes score or infant appetitive traits with infant milk intake and infant weight were evaluated in linear regression models adjusted for infant sex and age. To identify effect modification, the interaction term between the maternal attitudes score and infant appetitive trait was added to the model. Infants' mean age and weight were 2.3 months (SD = 0.9) and 5.5 kg (SD = 0.9), respectively. The mean daily infant milk intake reported by mothers was 895 ml/day (SD = 215). Higher maternal attitudes score was associated with lower infant milk intake (Beta = -68.4 ml/day/unit (95% CI: 96.6, -40.2)) and infant weight (Beta = -0.13 SD/unit (-0.25, -0.02)). The maternal attitudes score showed interactions with infant food responsiveness on infant milk intake (p = 0.049), and with infant satiety responsiveness on infant weight (p = 0.01). In both cases, a higher maternal attitudes score attenuated the associations between infant appetitive traits and those outcomes. This analysis provides evidence that positive maternal attitudes to following healthy infant feeding guidelines attenuate the effects of infant appetitive traits on infant milk intake and body weight., (Crown Copyright © 2021. Published by Elsevier Ltd. All rights reserved.)
Published: 2021
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46. Prepubertal Dietary and Plasma Phospholipid Fatty Acids Related to Puberty Timing: Longitudinal Cohort and Mendelian Randomization Analyses.

Author: Cheng TS, Day FR, Perry JRB, Luan J, Langenberg C, Forouhi NG, Wareham NJ, and Ong KK
Subjects: Adolescent, Adult, Age Factors, Child, Child, Preschool, Cohort Studies, Female, Humans, Longitudinal Studies, Male, Time, Young Adult, Diet methods, Fatty Acids administration & dosage, Fatty Acids blood, Mendelian Randomization Analysis methods, Phospholipids administration & dosage, Phospholipids blood, Puberty
Abstract: Dietary intakes of polyunsaturated, monounsaturated and saturated fatty acids (FAs) have been inconsistently associated with puberty timing. We examined longitudinal associations of prepubertal dietary and plasma phospholipid FAs with several puberty timing traits in boys and girls. In the Avon Longitudinal Study of Parents and Children, prepubertal fat intakes at 3-7.5 years and plasma phospholipid FAs at 7.5 years were measured. Timings of Tanner stage 2 genital or breast development and voice breaking or menarche from repeated reports at 8-17 years, and age at peak height velocity (PHV) from repeated height measurements at 5-20 years were estimated. In linear regression models with adjustment for maternal and infant characteristics, dietary substitution of polyunsaturated FAs for saturated FAs, and higher concentrations of dihomo-γ-linolenic acid (20:3n6) and palmitoleic acid (16:1n7) were associated with earlier timing of puberty traits in girls ( n = 3872) but not boys ( n = 3654). In Mendelian Randomization models, higher genetically predicted circulating dihomo-γ-linolenic acid was associated with earlier menarche in girls. Based on repeated dietary intake data, objectively measured FAs and genetic causal inference, these findings suggest that dietary and endogenous metabolic pathways that increase plasma dihomo-γ-linolenic acid, an intermediate metabolite of n-6 polyunsaturated FAs, may promote earlier puberty timing in girls.
Published: 2021
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47. Genetic analyses identify widespread sex-differential participation bias.

Author: Pirastu N, Cordioli M, Nandakumar P, Mignogna G, Abdellaoui A, Hollis B, Kanai M, Rajagopal VM, Parolo PDB, Baya N, Carey CE, Karjalainen J, Als TD, Van der Zee MD, Day FR, Ong KK, Morisaki T, de Geus E, Bellocco R, Okada Y, Børglum AD, Joshi P, Auton A, Hinds D, Neale BM, Walters RK, Nivard MG, Perry JRB, and Ganna A
Subjects: Adult, Artifacts, Biological Specimen Banks, Chromosomes, Human genetics, Female, Genetic Loci, Genome-Wide Association Study, Humans, Inheritance Patterns genetics, Male, Polymorphism, Single Nucleotide genetics, Sample Size, United Kingdom, Bias, Sex Characteristics
Abstract: Genetic association results are often interpreted with the assumption that study participation does not affect downstream analyses. Understanding the genetic basis of participation bias is challenging since it requires the genotypes of unseen individuals. Here we demonstrate that it is possible to estimate comparative biases by performing a genome-wide association study contrasting one subgroup versus another. For example, we showed that sex exhibits artifactual autosomal heritability in the presence of sex-differential participation bias. By performing a genome-wide association study of sex in approximately 3.3 million males and females, we identified over 158 autosomal loci spuriously associated with sex and highlighted complex traits underpinning differences in study participation between the sexes. For example, the body mass index-increasing allele at FTO was observed at higher frequency in males compared to females (odds ratio = 1.02, P = 4.4 × 10 - 36 ). Finally, we demonstrated how these biases can potentially lead to incorrect inferences in downstream analyses and propose a conceptual framework for addressing such biases. Our findings highlight a new challenge that genetic studies may face as sample sizes continue to grow.
Published: 2021
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48. The potential shared role of inflammation in insulin resistance and schizophrenia: A bidirectional two-sample mendelian randomization study.

Author: Perry BI, Burgess S, Jones HJ, Zammit S, Upthegrove R, Mason AM, Day FR, Langenberg C, Wareham NJ, Jones PB, and Khandaker GM
Subjects: Adult, Aged, Aged, 80 and over, Europe, Humans, Middle Aged, Phenotype, Schizophrenia immunology, Young Adult, Cardiometabolic Risk Factors, Genome-Wide Association Study, Inflammation immunology, Insulin Resistance genetics, Mendelian Randomization Analysis, Schizophrenia genetics
Abstract: Background: Insulin resistance predisposes to cardiometabolic disorders, which are commonly comorbid with schizophrenia and are key contributors to the significant excess mortality in schizophrenia. Mechanisms for the comorbidity remain unclear, but observational studies have implicated inflammation in both schizophrenia and cardiometabolic disorders separately. We aimed to examine whether there is genetic evidence that insulin resistance and 7 related cardiometabolic traits may be causally associated with schizophrenia, and whether evidence supports inflammation as a common mechanism for cardiometabolic disorders and schizophrenia., Methods and Findings: We used summary data from genome-wide association studies of mostly European adults from large consortia (Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC) featuring up to 108,557 participants; Diabetes Genetics Replication And Meta-analysis (DIAGRAM) featuring up to 435,387 participants; Global Lipids Genetics Consortium (GLGC) featuring up to 173,082 participants; Genetic Investigation of Anthropometric Traits (GIANT) featuring up to 339,224 participants; Psychiatric Genomics Consortium (PGC) featuring up to 105,318 participants; and Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium featuring up to 204,402 participants). We conducted two-sample uni- and multivariable mendelian randomization (MR) analysis to test whether (i) 10 cardiometabolic traits (fasting insulin, high-density lipoprotein and triglycerides representing an insulin resistance phenotype, and 7 related cardiometabolic traits: low-density lipoprotein, fasting plasma glucose, glycated haemoglobin, leptin, body mass index, glucose tolerance, and type 2 diabetes) could be causally associated with schizophrenia; and (ii) inflammation could be a shared mechanism for these phenotypes. We conducted a detailed set of sensitivity analyses to test the assumptions for a valid MR analysis. We did not find statistically significant evidence in support of a causal relationship between cardiometabolic traits and schizophrenia, or vice versa. However, we report that a genetically predicted inflammation-related insulin resistance phenotype (raised fasting insulin (raised fasting insulin (Wald ratio OR = 2.95, 95% C.I, 1.38-6.34, Holm-Bonferroni corrected p-value (p) = 0.035) and lower high-density lipoprotein (Wald ratio OR = 0.55, 95% C.I., 0.36-0.84; p = 0.035)) was associated with schizophrenia. Evidence for these associations attenuated to the null in multivariable MR analyses after adjusting for C-reactive protein, an archetypal inflammatory marker: (fasting insulin Wald ratio OR = 1.02, 95% C.I, 0.37-2.78, p = 0.975), high-density lipoprotein (Wald ratio OR = 1.00, 95% C.I., 0.85-1.16; p = 0.849), suggesting that the associations could be fully explained by inflammation. One potential limitation of the study is that the full range of gene products from the genetic variants we used as proxies for the exposures is unknown, and so we are unable to comment on potential biological mechanisms of association other than inflammation, which may also be relevant., Conclusions: Our findings support a role for inflammation as a common cause for insulin resistance and schizophrenia, which may at least partly explain why the traits commonly co-occur in clinical practice. Inflammation and immune pathways may represent novel therapeutic targets for the prevention or treatment of schizophrenia and comorbid insulin resistance. Future work is needed to understand how inflammation may contribute to the risk of schizophrenia and insulin resistance., Competing Interests: We have read the journal's policy and the authors of this manuscript have the following competing interests. SB is a paid statistical consultant on PLOS Medicine's statistical board. CL is an Academic Editor on PLOS Medicine's editorial board. PBJ has received honoraria for providing scientific advice to Jansen, Ricordati and Lundbeck.
Published: 2021
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49. Plasma Vitamin C and Type 2 Diabetes: Genome-Wide Association Study and Mendelian Randomization Analysis in European Populations.

Author: Zheng JS, Luan J, Sofianopoulou E, Imamura F, Stewart ID, Day FR, Pietzner M, Wheeler E, Lotta LA, Gundersen TE, Amiano P, Ardanaz E, Chirlaque MD, Fagherazzi G, Franks PW, Kaaks R, Laouali N, Mancini FR, Nilsson PM, Onland-Moret NC, Olsen A, Overvad K, Panico S, Palli D, Ricceri F, Rolandsson O, Spijkerman AMW, Sánchez MJ, Schulze MB, Sala N, Sieri S, Tjønneland A, Tumino R, van der Schouw YT, Weiderpass E, Riboli E, Danesh J, Butterworth AS, Sharp SJ, Langenberg C, Forouhi NG, and Wareham NJ
Subjects: Delta-5 Fatty Acid Desaturase, Genome-Wide Association Study, Humans, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, Risk Factors, Ascorbic Acid blood, Diabetes Mellitus, Type 2 epidemiology, Diabetes Mellitus, Type 2 genetics
Abstract: Objective: Higher plasma vitamin C levels are associated with lower type 2 diabetes risk, but whether this association is causal is uncertain. To investigate this, we studied the association of genetically predicted plasma vitamin C with type 2 diabetes., Research Design and Methods: We conducted genome-wide association studies of plasma vitamin C among 52,018 individuals of European ancestry to discover novel genetic variants. We performed Mendelian randomization analyses to estimate the association of genetically predicted differences in plasma vitamin C with type 2 diabetes in up to 80,983 case participants and 842,909 noncase participants. We compared this estimate with the observational association between plasma vitamin C and incident type 2 diabetes, including 8,133 case participants and 11,073 noncase participants., Results: We identified 11 genomic regions associated with plasma vitamin C ( P < 5 × 10 -8 ), with the strongest signal at SLC23A1 , and 10 novel genetic loci including SLC23A3 , CHPT1 , BCAS3 , SNRPF , RER1 , MAF , GSTA5 , RGS14 , AKT1 , and FADS1 . Plasma vitamin C was inversely associated with type 2 diabetes (hazard ratio per SD 0.88; 95% CI 0.82, 0.94), but there was no association between genetically predicted plasma vitamin C (excluding FADS1 variant due to its apparent pleiotropic effect) and type 2 diabetes (1.03; 95% CI 0.96, 1.10)., Conclusions: These findings indicate discordance between biochemically measured and genetically predicted plasma vitamin C levels in the association with type 2 diabetes among European populations. The null Mendelian randomization findings provide no strong evidence to suggest the use of vitamin C supplementation for type 2 diabetes prevention., (© 2020 by the American Diabetes Association.)
Published: 2021
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50. The association between circulating 25-hydroxyvitamin D metabolites and type 2 diabetes in European populations: A meta-analysis and Mendelian randomisation analysis.

Author: Zheng JS, Luan J, Sofianopoulou E, Sharp SJ, Day FR, Imamura F, Gundersen TE, Lotta LA, Sluijs I, Stewart ID, Shah RL, van der Schouw YT, Wheeler E, Ardanaz E, Boeing H, Dorronsoro M, Dahm CC, Dimou N, El-Fatouhi D, Franks PW, Fagherazzi G, Grioni S, Huerta JM, Heath AK, Hansen L, Jenab M, Jakszyn P, Kaaks R, Kühn T, Khaw KT, Laouali N, Masala G, Nilsson PM, Overvad K, Olsen A, Panico S, Quirós JR, Rolandsson O, Rodríguez-Barranco M, Sacerdote C, Spijkerman AMW, Tong TYN, Tumino R, Tsilidis KK, Danesh J, Riboli E, Butterworth AS, Langenberg C, Forouhi NG, and Wareham NJ
Subjects: Adult, Diabetes Mellitus, Type 2 blood, Diabetes Mellitus, Type 2 etiology, Dietary Supplements, Female, Genome-Wide Association Study, Humans, Male, Mendelian Randomization Analysis methods, Middle Aged, Prospective Studies, Risk Factors, Vitamin D analysis, Vitamin D blood, Vitamin D metabolism, White People genetics, Diabetes Mellitus, Type 2 metabolism, Vitamin D analogs & derivatives
Abstract: Background: Prior research suggested a differential association of 25-hydroxyvitamin D (25(OH)D) metabolites with type 2 diabetes (T2D), with total 25(OH)D and 25(OH)D3 inversely associated with T2D, but the epimeric form (C3-epi-25(OH)D3) positively associated with T2D. Whether or not these observational associations are causal remains uncertain. We aimed to examine the potential causality of these associations using Mendelian randomisation (MR) analysis., Methods and Findings: We performed a meta-analysis of genome-wide association studies for total 25(OH)D (N = 120,618), 25(OH)D3 (N = 40,562), and C3-epi-25(OH)D3 (N = 40,562) in participants of European descent (European Prospective Investigation into Cancer and Nutrition [EPIC]-InterAct study, EPIC-Norfolk study, EPIC-CVD study, Ely study, and the SUNLIGHT consortium). We identified genetic variants for MR analysis to investigate the causal association of the 25(OH)D metabolites with T2D (including 80,983 T2D cases and 842,909 non-cases). We also estimated the observational association of 25(OH)D metabolites with T2D by performing random effects meta-analysis of results from previous studies and results from the EPIC-InterAct study. We identified 10 genetic loci associated with total 25(OH)D, 7 loci associated with 25(OH)D3 and 3 loci associated with C3-epi-25(OH)D3. Based on the meta-analysis of observational studies, each 1-standard deviation (SD) higher level of 25(OH)D was associated with a 20% lower risk of T2D (relative risk [RR]: 0.80; 95% CI 0.77, 0.84; p < 0.001), but a genetically predicted 1-SD increase in 25(OH)D was not significantly associated with T2D (odds ratio [OR]: 0.96; 95% CI 0.89, 1.03; p = 0.23); this result was consistent across sensitivity analyses. In EPIC-InterAct, 25(OH)D3 (per 1-SD) was associated with a lower risk of T2D (RR: 0.81; 95% CI 0.77, 0.86; p < 0.001), while C3-epi-25(OH)D3 (above versus below lower limit of quantification) was positively associated with T2D (RR: 1.12; 95% CI 1.03, 1.22; p = 0.006), but neither 25(OH)D3 (OR: 0.97; 95% CI 0.93, 1.01; p = 0.14) nor C3-epi-25(OH)D3 (OR: 0.98; 95% CI 0.93, 1.04; p = 0.53) was causally associated with T2D risk in the MR analysis. Main limitations include the lack of a non-linear MR analysis and of the generalisability of the current findings from European populations to other populations of different ethnicities., Conclusions: Our study found discordant associations of biochemically measured and genetically predicted differences in blood 25(OH)D with T2D risk. The findings based on MR analysis in a large sample of European ancestry do not support a causal association of total 25(OH)D or 25(OH)D metabolites with T2D and argue against the use of vitamin D supplementation for the prevention of T2D., Competing Interests: I have read the journal's policy and the authors of this manuscript have the following competing interests: FI and CL are Academic Editors on PLOS Medicine’s editorial board. LAL is Employee and shareholder of Regeneron Pharmaceuticals Inc. ASB has received grants unrelated to this work from AstraZeneca, Biogen, Bioverativ, Merck, Novartis and Sanofi, and personal fees from Novartis. Where authors are identified as personnel of the International Agency for Research on Cancer / World Health Organization, the authors alone are responsible for the views expressed in this article and they do not necessarily represent the decisions, policy or views of the International Agency for Research on Cancer / World Health Organization.
Published: 2020
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