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

Author

Shungin, Dmitry, Winkler, Thomas W, Croteau-Chonka, Damien C, Ferreira, Teresa, Locke, Adam E, Mägi, Reedik, Strawbridge, Rona J, Pers, Tune H, Fischer, Krista, Justice, Anne E, Workalemahu, Tsegaselassie, Wu, Joseph M.W., Buchkovich, Martin L, Heard-Costa, Nancy L, Roman, Tamara S, Drong, Alexander W, Song, Ci, Gustafsson, Stefan, Day, Felix R, Esko, Tonu, Fall, Tove, Kutalik, Zoltán, Luan, Jian’an, Randall, Joshua C, Scherag, André, Vedantam, Sailaja, Wood, Andrew R, Chen, Jin, Fehrmann, Rudolf, Karjalainen, Juha, Kahali, Bratati, Liu, Ching-Ti, Schmidt, Ellen M, Absher, Devin, Amin, Najaf, Anderson, Denise, Beekman, Marian, Bragg-Gresham, Jennifer L, Buyske, Steven, Demirkan, Ayse, Ehret, Georg B, Feitosa, Mary F, Goel, Anuj, Jackson, Anne U, Johnson, Toby, Kleber, Marcus E, Kristiansson, Kati, Mangino, Massimo, Leach, Irene Mateo, Medina-Gomez, Carolina, Palmer, Cameron D, Pasko, Dorota, Pechlivanis, Sonali, Peters, Marjolein J, Prokopenko, Inga, Stančáková, Alena, Sung, Yun Ju, Tanaka, Toshiko, Teumer, Alexander, Van Vliet-Ostaptchouk, Jana V, Yengo, Loïc, Zhang, Weihua, Albrecht, Eva, Ärnlöv, Johan, Arscott, Gillian M, Bandinelli, Stefania, Barrett, Amy, Bellis, Claire, Bennett, Amanda J, Berne, Christian, Blüher, Matthias, Böhringer, Stefan, Bonnet, Fabrice, Böttcher, Yvonne, Bruinenberg, Marcel, Carba, Delia B, Caspersen, Ida H, Clarke, Robert, Daw, E Warwick, Deelen, Joris, Deelman, Ewa, Delgado, Graciela, Doney, Alex SF, Eklund, Niina, Erdos, Michael R, Estrada, Karol, Eury, Elodie, Friedrich, Nele, Garcia, Melissa E, Giedraitis, Vilmantas, Gigante, Bruna, Go, Alan S, Golay, Alain, Grallert, Harald, Grammer, Tanja B, Gräßler, Jürgen, Grewal, Jagvir, Groves, Christopher J, Haller, Toomas, Hallmans, Goran, Hartman, Catharina A, Hassinen, Maija, Hayward, Caroline, Heikkilä, Kauko, Herzig, Karl-Heinz, Helmer, Quinta, Hillege, Hans L, Holmen, Oddgeir, Hunt, Steven C, Isaacs, Aaron, Ittermann, Till, James, Alan L, Johansson, Ingegerd, Juliusdottir, Thorhildur, Kalafati, Ioanna-Panagiota, Kinnunen, Leena, Koenig, Wolfgang, Kooner, Ishminder K, Kratzer, Wolfgang, Lamina, Claudia, Leander, Karin, Lee, Nanette R, Lichtner, Peter, Lind, Lars, Lindström, Jaana, Lobbens, Stéphane, Lorentzon, Mattias, Mach, François, Magnusson, Patrik KE, Mahajan, Anubha, McArdle, Wendy L, Menni, Cristina, Merger, Sigrun, Mihailov, Evelin, Milani, Lili, Mills, Rebecca, Moayyeri, Alireza, Monda, Keri L, Mooijaart, Simon P, Mühleisen, Thomas W, Mulas, Antonella, Müller, Gabriele, Müller-Nurasyid, Martina, Nagaraja, Ramaiah, Nalls, Michael A, Narisu, Narisu, Glorioso, Nicola, Nolte, Ilja M, Olden, Matthias, Rayner, Nigel W, Renstrom, Frida, Ried, Janina S, Robertson, Neil R, Rose, Lynda M, Sanna, Serena, Scharnagl, Hubert, Scholtens, Salome, Sennblad, Bengt, Seufferlein, Thomas, Sitlani, Colleen M, Smith, Albert Vernon, Stirrups, Kathleen, Stringham, Heather M, Sundström, Johan, Swertz, Morris A, Swift, Amy J, Syvänen, Ann-Christine, Tayo, Bamidele O, Thorand, Barbara, Thorleifsson, Gudmar, Tomaschitz, Andreas, Troffa, Chiara, van Oort, Floor VA, Verweij, Niek, Vonk, Judith M, Waite, Lindsay L, Wennauer, Roman, Wilsgaard, Tom, Wojczynski, Mary K, Wong, Andrew, Zhang, Qunyuan, Zhao, Jing Hua, Brennan, Eoin P., Choi, Murim, Eriksson, Per, Folkersen, Lasse, Franco-Cereceda, Anders, Gharavi, Ali G, Hedman, Åsa K, Hivert, Marie-France, Huang, Jinyan, Kanoni, Stavroula, Karpe, Fredrik, Keildson, Sarah, Kiryluk, Krzysztof, Liang, Liming, Lifton, Richard P, Ma, Baoshan, McKnight, Amy J, McPherson, Ruth, Metspalu, Andres, Min, Josine L, Moffatt, Miriam F, Montgomery, Grant W, Murabito, Joanne M, Nicholson, George, Nyholt, Dale R, Olsson, Christian, Perry, John RB, Reinmaa, Eva, Salem, Rany M, Sandholm, Niina, Schadt, Eric E, Scott, Robert A, Stolk, Lisette, Vallejo, Edgar E., Westra, Harm-Jan, Zondervan, Krina T, Amouyel, Philippe, Arveiler, Dominique, Bakker, Stephan JL, Beilby, John, Bergman, Richard N, Blangero, John, Brown, Morris J, Burnier, Michel, Campbell, Harry, Chakravarti, Aravinda, Chines, Peter S, Claudi-Boehm, Simone, Collins, Francis S, Crawford, Dana C, Danesh, John, de Faire, Ulf, de Geus, Eco JC, Dörr, Marcus, Erbel, Raimund, Eriksson, Johan G, Farrall, Martin, Ferrannini, Ele, Ferrières, Jean, Forouhi, Nita G, Forrester, Terrence, Franco, Oscar H, Gansevoort, Ron T, Gieger, Christian, Gudnason, Vilmundur, Haiman, Christopher A, Harris, Tamara B, Hattersley, Andrew T, Heliövaara, Markku, Hicks, Andrew A, Hingorani, Aroon D, Hoffmann, Wolfgang, Hofman, Albert, Homuth, Georg, Humphries, Steve E, Hyppönen, Elina, Illig, Thomas, Jarvelin, Marjo-Riitta, Johansen, Berit, Jousilahti, Pekka, Jula, Antti M, Kaprio, Jaakko, Kee, Frank, Keinanen-Kiukaanniemi, Sirkka M, Kooner, Jaspal S, Kooperberg, Charles, Kovacs, Peter, Kraja, Aldi T, Kumari, Meena, Kuulasmaa, Kari, Kuusisto, Johanna, Lakka, Timo A, Langenberg, Claudia, Le Marchand, Loic, Lehtimäki, Terho, Lyssenko, Valeriya, Männistö, Satu, Marette, André, Matise, Tara C, McKenzie, Colin A, McKnight, Barbara, Musk, Arthur W, Möhlenkamp, Stefan, Morris, Andrew D, Nelis, Mari, Ohlsson, Claes, Oldehinkel, Albertine J, Ong, Ken K, Palmer, Lyle J, Penninx, Brenda W, Peters, Annette, Pramstaller, Peter P, Raitakari, Olli T, Rankinen, Tuomo, Rao, DC, Rice, Treva K, Ridker, Paul M, Ritchie, Marylyn D., Rudan, Igor, Salomaa, Veikko, Samani, Nilesh J, Saramies, Jouko, Sarzynski, Mark A, Schwarz, Peter EH, Shuldiner, Alan R, Staessen, Jan A, Steinthorsdottir, Valgerdur, Stolk, Ronald P, Strauch, Konstantin, Tönjes, Anke, Tremblay, Angelo, Tremoli, Elena, Vohl, Marie-Claude, Völker, Uwe, Vollenweider, Peter, Wilson, James F, Witteman, Jacqueline C, Adair, Linda S, Bochud, Murielle, Boehm, Bernhard O, Bornstein, Stefan R, Bouchard, Claude, Cauchi, Stéphane, Caulfield, Mark J, Chambers, John C, Chasman, Daniel I, Cooper, Richard S, Dedoussis, George, Ferrucci, Luigi, Froguel, Philippe, Grabe, Hans-Jörgen, Hamsten, Anders, Hui, Jennie, Hveem, Kristian, Jöckel, Karl-Heinz, Kivimaki, Mika, Kuh, Diana, Laakso, Markku, Liu, Yongmei, März, Winfried, Munroe, Patricia B, Njølstad, Inger, Oostra, Ben A, Palmer, Colin NA, Pedersen, Nancy L, Perola, Markus, Pérusse, Louis, Peters, Ulrike, Power, Chris, Quertermous, Thomas, Rauramaa, Rainer, Rivadeneira, Fernando, Saaristo, Timo E, Saleheen, Danish, Sinisalo, Juha, Slagboom, P Eline, Snieder, Harold, Spector, Tim D, Stefansson, Kari, Stumvoll, Michael, Tuomilehto, Jaakko, Uitterlinden, André G, Uusitupa, Matti, van der Harst, Pim, Veronesi, Giovanni, Walker, Mark, Wareham, Nicholas J, Watkins, Hugh, Wichmann, H-Erich, Abecasis, Goncalo R, Assimes, Themistocles L, Berndt, Sonja I, Boehnke, Michael, Borecki, Ingrid B, Deloukas, Panos, Franke, Lude, Frayling, Timothy M, Groop, Leif C, Hunter, David J., Kaplan, Robert C, O’Connell, Jeffrey R, Qi, Lu, Schlessinger, David, Strachan, David P, Thorsteinsdottir, Unnur, van Duijn, Cornelia M, Willer, Cristen J, Visscher, Peter M, Yang, Jian, Hirschhorn, Joel N, Zillikens, M Carola, McCarthy, Mark I, Speliotes, Elizabeth K, North, Kari E, Fox, Caroline S, Barroso, Inês, Franks, Paul W, Ingelsson, Erik, Heid, Iris M, Loos, Ruth JF, Cupples, L Adrienne, Morris, Andrew P, Lindgren, Cecilia M, and Mohlke, Karen L

Abstract

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<5×10−8). Twenty of the 49 WHRadjBMI loci showed significant sexual dimorphism, 19 of which displayed a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation, and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms.

Published
2014
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152. Parent-of-origin specific allelic associations among 106 genomic loci for age at menarche

Author

Perry, John RB, Day, Felix, Elks, Cathy E, Sulem, Patrick, Thompson, Deborah J, Ferreira, Teresa, He, Chunyan, Chasman, Daniel I, Esko, Tõnu, Thorleifsson, Gudmar, Albrecht, Eva, Ang, Wei Q, Corre, Tanguy, Cousminer, Diana L, Feenstra, Bjarke, Franceschini, Nora, Ganna, Andrea, Johnson, Andrew D, Kjellqvist, Sanela, Lunetta, Kathryn L, McMahon, George, Nolte, Ilja M, Paternoster, Lavinia, Porcu, Eleonora, Smith, Albert V, Stolk, Lisette, Teumer, Alexander, Tšernikova, Natalia, Tikkanen, Emmi, Ulivi, Sheila, Wagner, Erin K, Amin, Najaf, Bierut, Laura J, Byrne, Enda M, Hottenga, Jouke-Jan, Koller, Daniel L, Mangino, Massimo, Pers, Tune H, Yerges-Armstrong, Laura M, Zhao, Jing Hua, Andrulis, Irene L, Anton-Culver, Hoda, Atsma, Femke, Bandinelli, Stefania, Beckmann, Matthias W, Benitez, Javier, Blomqvist, Carl, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Brauch, Hiltrud, Brenner, Hermann, Buring, Julie E, Chang-Claude, Jenny, Chanock, Stephen, Chen, Jinhui, Chenevix-Trench, Georgia, Collée, J. Margriet, Couch, Fergus J, Couper, David, Coveillo, Andrea D, Cox, Angela, Czene, Kamila, D’adamo, Adamo Pio, Smith, George Davey, De Vivo, Immaculata, Demerath, Ellen W, Dennis, Joe, Devilee, Peter, Dieffenbach, Aida K, Dunning, Alison M, Eiriksdottir, Gudny, Eriksson, Johan G, Fasching, Peter A, Ferrucci, Luigi, Flesch-Janys, Dieter, Flyger, Henrik, Foroud, Tatiana, Franke, Lude, Garcia, Melissa E, García-Closas, Montserrat, Geller, Frank, de Geus, Eco EJ, Giles, Graham G, Gudbjartsson, Daniel F, Gudnason, Vilmundur, Guénel, Pascal, Guo, Suiqun, Hall, Per, Hamann, Ute, Haring, Robin, Hartman, Catharina A, Heath, Andrew C, Hofman, Albert, Hooning, Maartje J, Hopper, John L, Hu, Frank B, Hunter, David J, Karasik, David, Kiel, Douglas P, Knight, Julia A, Kosma, Veli-Matti, Kutalik, Zoltan, Lai, Sandra, Lambrechts, Diether, Lindblom, Annika, Mägi, Reedik, Magnusson, Patrik K, Mannermaa, Arto, Martin, Nicholas G, Masson, Gisli, McArdle, Patrick F, McArdle, Wendy L, Melbye, Mads, Michailidou, Kyriaki, Mihailov, Evelin, Milani, Lili, Milne, Roger L, Nevanlinna, Heli, Neven, Patrick, Nohr, Ellen A, Oldehinkel, Albertine J, Oostra, Ben A, Palotie, Aarno, Peacock, Munro, Pedersen, Nancy L, Peterlongo, Paolo, Peto, Julian, Pharoah, Paul DP, Postma, Dirkje S, Pouta, Anneli, Pylkäs, Katri, Radice, Paolo, Ring, Susan, Rivadeneira, Fernando, Robino, Antonietta, Rose, Lynda M, Rudolph, Anja, Salomaa, Veikko, Sanna, Serena, Schlessinger, David, Schmidt, Marjanka K, Southey, Mellissa C, Sovio, Ulla, Stampfer, Meir J, Stöckl, Doris, Storniolo, Anna M, Timpson, Nicholas J, Tyrer, Jonathan, Visser, Jenny A, Vollenweider, Peter, Völzke, Henry, Waeber, Gerard, Waldenberger, Melanie, Wallaschofski, Henri, Wang, Qin, Willemsen, Gonneke, Winqvist, Robert, Wolffenbuttel, Bruce HR, Wright, Margaret J, Boomsma, Dorret I, Econs, Michael J, Khaw, Kay-Tee, Loos, Ruth JF, McCarthy, Mark I, Montgomery, Grant W, Rice, John P, Streeten, Elizabeth A, Thorsteinsdottir, Unnur, van Duijn, Cornelia M, Alizadeh, Behrooz Z, Bergmann, Sven, Boerwinkle, Eric, Boyd, Heather A, Crisponi, Laura, Gasparini, Paolo, Gieger, Christian, Harris, Tamara B, Ingelsson, Erik, Järvelin, Marjo-Riitta, Kraft, Peter, Lawlor, Debbie, Metspalu, Andres, Pennell, Craig E, Ridker, Paul M, Snieder, Harold, Sørensen, Thorkild IA, Spector, Tim D, Strachan, David P, Uitterlinden, André G, Wareham, Nicholas J, Widen, Elisabeth, Zygmunt, Marek, Murray, Anna, Easton, Douglas F, Stefansson, Kari, Murabito, Joanne M, and Ong, Ken K

Abstract

Age at menarche is a marker of timing of puberty in females. It varies widely between individuals, is a heritable trait and is associated with risks for obesity, type 2 diabetes, cardiovascular disease, breast cancer and all-cause mortality1. Studies of rare human disorders of puberty and animal models point to a complex hypothalamic-pituitary-hormonal regulation2,3, but the mechanisms that determine pubertal timing and underlie its links to disease risk remain unclear. Here, using genome-wide and custom-genotyping arrays in up to 182,416 women of European descent from 57 studies, we found robust evidence (P<5×10−8) for 123 signals at 106 genomic loci associated with age at menarche. Many loci were associated with other pubertal traits in both sexes, and there was substantial overlap with genes implicated in body mass index and various diseases, including rare disorders of puberty. Menarche signals were enriched in imprinted regions, with three loci (DLK1/WDR25, MKRN3/MAGEL2 and KCNK9) demonstrating parent-of-origin specific associations concordant with known parental expression patterns. Pathway analyses implicated nuclear hormone receptors, particularly retinoic acid and gamma-aminobutyric acid-B2 receptor signaling, among novel mechanisms that regulate pubertal timing in humans. Our findings suggest a genetic architecture involving at least hundreds of common variants in the coordinated timing of the pubertal transition.

Published
2014
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153. Estrogen Receptor β (ESR2) Polymorphisms in Interaction With Estrogen Receptor α (ESR1)and Insulin‐Like Growth Factor I (IGF1) Variants Influence the Risk of Fracture in Postmenopausal Women*

Author

Rivadeneira, Fernando, van Meurs, Joyce BJ, Kant, Jojanneke, Zillikens, M Carola, Stolk, Lisette, Beck, Thomas J, Arp, Pascal, Schuit, Stephanie CE, Hofman, Albert, Houwing‐Duistermaat, Jeanine J, van Duijn, Cornelia M, van Leeuwen, Johannes PTM, Pols, Huibert AP, and Uitterlinden, André G

Abstract

In this large population‐based cohort study, variants in ESR2were associated with increased risk of vertebral and incident fragility fracture in postmenopausal women. Interaction of ESR2with ESR1and IGF1was determined and revealed a deleterious genetic combination that enhances the risk of osteoporotic fracture.Introduction:Osteoporosis is a complex disease with strong genetic influence, but the genes involved are ill‐defined. We examined estrogen receptor β (ESR2)polymorphisms in interaction with estrogen receptor α (ESR1)and insulin‐like growth factor I (IGF1)variants in relation to the risk of osteoporotic fracture, BMD, and bone geometry.Materials and Methods:In the Rotterdam study, a prospective population‐based cohort of elderly white individuals, we studied six single nucleotide polymorphisms (SNPs) in ESR2(n= 6343, 60% women). We analyzed the genetic variants in the form of haplotypes reconstructed by a statistical method. Results refer to the most frequent ESR2 haplotype 1estimated from two SNPs in intron 2 and the 3′‐untranslated region (UTR). Outcomes included vertebral and incident nonvertebral fractures, BMD, and hip structural analysis (HSA). We also studied the interaction with (the most frequent) ESR1 haplotype 1estimated from the PvuII and XbaI polymorphisms and an IGF1promoter CA‐repeat.Results:Compared with ESR2 haplotype 1noncarriers, female homozygous carriers had a 1.8‐ and 1.4‐fold increased risk of vertebral and fragility fractures. HSA showed that ESR2 haplotype 1homozygote women had 2.6% thinner cortices, 1.0% increased neck width, and 4.3% higher bone instability (buckling ratios). For testing the gene interaction, we assumed a recessive model of ESR2 haplotype 1. Female homozygous carriers of ESR2 haplotype 1and noncarriers of ESR1 haplotype 1had a 3.5‐ and 1.8‐fold increased risk of vertebral and fragility fractures (pinteraction= 0.10). Such effects and interactions were stronger in women homozygous for the IGF1 192‐bpallele, with 9.3‐fold increased risk (pinteraction= 0.002) for vertebral and 4.0‐fold increased risk (pinteraction= 0.01) for fragility fractures. Multilocus interaction analyses of fracture endured correction for multiple testing using Monte‐Carlo simulations (pinteraction= 0.02 for vertebral and pinteraction= 0.03 for fragility fractures). Similar patterns of interaction were observed for BMD, cortical thickness, bone strength (section modulus), and instability (buckling ratio). In men, no such effects were observed.Conclusions:Variants of ESR2alone and in interaction with ESR1and IGF1influence the risk of fracture in postmenopausal women. These findings reinforce the polygenic and complex character of osteoporosis.

Published
2006
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154. Reproductive aging-associated common genetic variants and the risk of breast cancer

Author

He, Chunyan, Chasman, Daniel Ian, Dreyfus, Jill, Hwang, Shih-Jen, Ruiter, Rikje, Sanna, Sanna, Buring, Julie Elizabeth, Fernández-Rhodes, Lindsay, Franceschini, Nora, Hankinson, Susan Elizabeth, Hofman, Albert, Lunetta, Kathryn L., Palmieri, Giuseppe, Porcu, Eleonora, Rivadeneira, Fernando, Rose, Lynda M., Splansky, Greta L., Stolk, Lisette, Uitterlinden, André G., Chanock, Stephen J., Crisponi, Laura, Demerath, Ellen W., Murabito, Joanne M., Ridker, Paul M., Stricker, Bruno H., and Hunter, David J.

Abstract

Introduction: A younger age at menarche and an older age at menopause are well established risk factors for breast cancer. Recent genome-wide association studies have identified several novel genetic loci associated with these two traits. However, the association between these loci and breast cancer risk is unknown. Methods: In this study, we investigated 19 and 17 newly identified single nucleotide polymorphisms (SNPs) from the ReproGen Consortium that have been associated with age at menarche and age at natural menopause, respectively, and assessed their associations with breast cancer risk in 6 population-based studies among up to 3,683 breast cancer cases and 34,174 controls in white women of European ancestry. In addition, we used these SNPs to calculate genetic risk scores (GRSs) based on their associations with each trait. Results: After adjusting for age and potential population stratification, two age at menarche associated SNPs (rs1079866 and rs7821178) and one age at natural menopause associated SNP (rs2517388) were associated with breast cancer risk (p values, 0.003, 0.009 and 0.023, respectively). The odds ratios for breast cancer corresponding to per-risk-allele were 1.14 (95% CI, 1.05 to 1.24), 1.08 (95% CI, 1.02 to 1.15) and 1.10 (95% CI, 1.01 to 1.20), respectively, and were in the direction predicted by their associations with age at menarche or age at natural menopause. These associations did not appear to be attenuated by further controlling for self-reported age at menarche, age at natural menopause, or known breast cancer susceptibility loci. Although we did not observe a statistically significant association between any GRS for reproductive aging and breast cancer risk, the 4th and 5th highest quintiles of the younger age at menarche GRS had odds ratios of 1.14 (95% CI, 1.01 to 1.28) and 1.13 (95% CI, 1.00 to 1.27), respectively, compared to the lowest quintile. Conclusions: Our study suggests that three genetic variants, independent of their associations with age at menarche or age at natural menopause, were associated with breast cancer risk and may contribute modestly to breast cancer risk prediction; however, the combination of the 19 age at menarche or the 17 age at natural menopause associated SNPs did not appear to be useful for identifying a high risk subgroup for breast cancer.

Published
2011
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155. Low prevalence of NOD2 SNPs in Behcet's disease suggests protective association in Caucasians.

Author

Kappen, Jasper H., Wallace, Graham R., Stolk, Lisette, Rivadeneira, Fernando, Uitterlinden, Andre G., van Daele, Paul L.A., Laman, Jon D., Kuijpers, Robert W.A.M., Seerp Baarsma, Goitze, Stanford, Miles R., Fortune, Farida, Madanat, Wafa, Martin van Hagen, Petrus, and van Laar, Jan A.M.

Subjects
OLIGOMERIZATION, GENETICS of Crohn's disease, DNA analysis, GENETIC polymorphisms, CAUCASIAN race
Abstract

Objective. It has been shown previously that three nucleotide-binding oligomerization domain containing 2 (NOD2) variants (Arg702Trp, Gly908Arg and Lue1007fs) are associated with Crohn's disease (CD), a disorder clinically resembling Behçet's disease (BD). We studied the frequency of these variants in BD patients. Methods. DNA samples of 200 BD patients [59 Caucasians, 139 Middle Easterns (MEs) of Arab descent and 2 Asians] and 520 healthy controls (444 Caucasians and 76 MEs) were genotyped using a Taqman assay. Results. Both the Arg702Trp and Leu1007fs (frameshift) variants were significantly less frequently present among BD patients compared with healthy controls (0.5 vs 5.8%; P<1.10-5 and 0.0 vs 1.8%; P< 0.007, respectively). In the Caucasian subpopulation, Arg702Trp was significantly less frequent in the BD group as compared with the controls (P=0.04); whereas in the ME subpopulation, a trend was observed (P<0.06). Conclusions. Of the three CD-associated single nucleotide polymorphisms, one of the variant NOD2 alíeles, was found to be present significantly less in Caucasian BD patients. [ABSTRACT FROM AUTHOR]

Published
2009
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156. Association of Adiposity Genetic Variants With Menarche Timing in 92,105 Women of European Descent

Author

He, Chunyan, Corre, Tanguy, Mangino, Massimo, Uitterlinden, André G., Strachan, David P., Hu, Frank B., Franceschini, Nora, Murabito, Joanne M., Cousminer, Diana L., Hunter, David J., Boyd, Heather A., Willemsen, Gonneke, Mihailov, Evelin, Carola Zillikens, M., Chasman, Daniel I., Rudan, Igor, Harris, Tamara B., Hayward, Caroline, Yerges-Armstrong, Laura M., Fernández-Rhodes, Lindsay, Oostra, Ben, Launer, Lenore, Buring, Julie E., Montgomery, Grant W., Gudnason, Vilmundur, Lin, Peng, Widen, Elisabeth, Lunetta, Kathryn L., Kraft, Peter, Van Duijn, Cornelia M., Elks, Cathy E., Tao, Ran, McArdle, Patrick F., Ridker, Paul M., Toniolo, Daniela, Byrne, Enda M., Rose, Lynda M., Ong, Ken K., Hofman, Albert, Porcu, Eleonora, Martin, Nicholas G., Bierut, Laura J., Stöckl, Doris, Feenstra, Bjarke, Broer, Linda, Murray, Anna, Zhai, Guangju, Rivadeneira, Fernando, Lai, Dongbing, Warrington, Nicole M., Spector, Tim D., Vollenweider, Peter, Poole, Charles, Hottenga, Jouke Jan, Crisponi, Laura, Visser, Jenny A., Wilson, James F., Koller, Daniel L., Perry, John R.B., Dreyfus, Jill G., Polasek, Ozren, Pennell, Craig E., Fisher, Sherri L., Boomsma, Dorret I., Kutalik, Zoltán, Albrecht, Eva, Grallert, Harald, Smith, Albert V., North, Kari E., Gieger, Christian, Stolk, Lisette, Esko, Tõnu, Metspalu, Andres, Demerath, Ellen W., and Hirschhorn, Joel N.

Subjects
2. Zero hunger, 3. Good health
Abstract

Obesity is of global health concern. There are well-described inverse relationships between female pubertal timing and obesity. Recent genome-wide association studies of age at menarche identified several obesity-related variants. Using data from the ReproGen Consortium, we employed meta-analytical techniques to estimate the associations of 95 a priori and recently identified obesity-related (body mass index (weight (kg)/height (m)2), waist circumference, and waist:hip ratio) single-nucleotide polymorphisms (SNPs) with age at menarche in 92,116 women of European descent from 38 studies (1970–2010), in order to estimate associations between genetic variants associated with central or overall adiposity and pubertal timing in girls. Investigators in each study performed a separate analysis of associations between the selected SNPs and age at menarche (ages 9–17 years) using linear regression models and adjusting for birth year, site (as appropriate), and population stratification. Heterogeneity of effect-measure estimates was investigated using meta-regression. Six novel associations of body mass index loci with age at menarche were identified, and 11 adiposity loci previously reported to be associated with age at menarche were confirmed, but none of the central adiposity variants individually showed significant associations. These findings suggest complex genetic relationships between menarche and overall obesity, and to a lesser extent central obesity, in normal processes of growth and development.

157. A genome-wide association study identifies an osteoarthritis susceptibility locus on chromosome 7q22

Author

Slagboom, Eline, Jonsson, Helgi, Hart, Deborah, Ioannidis, John, Putte, Tom, Valdes, Ana Maria, Ingvarsson, Torvaldur, Spector, Timothy, Zhang, Feng, Parimi, Neeta, Loughlin, John, Zmuda, Joseph, Meurs, Joyce, Uitterlinden, Andre&#769, Doherty, Michael, Styrkarsdottir, Unnur, Zhu, Yicheng, Jhamai, Mila, Zwart, John-anker, Breggen, Ruud, Felson, D., Hofman, Albert, Lane, Nancy, Gonzalez, Antonio, Nevitt, Michael, Thorleifsson, Gudmar, Carr, Andrew, Luyten, Frank, Halldorsson, Bjarni, Meulenbelt, Ingrid, Arp, Pascal, Jonsdottir, Ingileif, Zhai, Guangju, Kloppenburg, Margreet, Tsezou, Aspasia, Stolk, Lisette, Rivadeneira Ramirez, Fernando, Hauksson, Valdimar, Kerkhof, Hanneke, Lories, Rik, and Pols, Huib

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

Author

Martin, Nicholas G., Gudbjartsson, Daniel F., Nutile, Teresa, De Mutsert, Renée, Ong, Ken K., Tung, Joyce Y., Timpson, Nicholas J., Easton, Douglas F., Meitinger, Thomas, Franceschini, Nora, Crisponi, Laura, Ulivi, Sheila, Sulem, Patrick, Völzke, Henry, Völker, Uwe, Flesch-Janys, Dieter, Mulligan, Anna M., Perjakova, Natalia, Karasik, David, Chenevix-Trench, Georgia, Bandinelli, Stefania, Järvelin, Marjo-Riitta, Pharoah, Paul D.P., Vitart, Veronique, Scott, Robert A., Tanaka, Toshiko, Paternoster, Lavinia, Rueedi, Rico, Altmaier, Elisabeth, Murray, Anna, Palotie, Aarno, Mägi, Reedik, Catamo, Eulalia, Grallert, Harald, McMahon, George, Mbarek, Hamdi, Joshi, Peter K., Tyrer, Jonathan P., Giri, Ayush, Hopper, John L., Boerwinkle, Eric, Spector, Tim D., Loh, Po-Ru, Alizadeh, Behrooz Z., Barbieri, Caterina M., Rahman, Iffat, Ikram, M. Arfan, Amini, Marzyeh, Magnusson, Patrik K.E., Wang, Qin, Lawlor, Debbie A., Hu, Frank, Hartman, Catharina A., Willemsen, Gonneke, Padmanabhan, Sandosh, Southey, Melissa C., Schraut, Katharina E., Montgomery, Grant W., Brauch, Hiltrud, Couch, Fergus J., Heiss, Gerardo, Luan, Jian'An, Murabito, Joanne M., Pedersen, Nancy, Beckmann, Matthias W., Thorsteindottir, Unnur, Wareham, Nicholas J., Cucca, Francesco, Noordam, Raymond, Im, Hae Kyung, Visser, Jenny A., Teumer, Alexander, McCarthy, Mark I., Liu, Yongmei, Oldehinkel, Albertine J., Rudan, Igor, Czene, Kamila, Hamann, Ute, Menni, Cristina, Medland, Sarah E., Kolcic, Ivana, Polasek, Ozren, Demerath, Ellen, Li, Jingmei, Mook-Kanamori, Dennis O., Smith, Albert V., Toniolo, Daniela, Lenarduzzi, Stefania, Zhao, Jing Hua, Uitterlinden, André G., Campbell, Harry, Stöckl, Doris, Segrè, Ayellet V., Day, Felix R., Benitez, Javier, Andrulis, Irene L., Ridker, Paul M., Nyholt, Dale R., Edwards, Digna R. Velez, Mannermaa, Arto, Gabrielson, Marike, Boutin, Thibaud, Wolffenbuttel, Bruce H.R., Launer, Lenore J., Lindstrom, Sara, Meisinger, Christa, Buring, Julie E., Whalen, Sean, Zoledziewska, Magdalena, Milne, Roger L., Rosendaal, Frits R., Helgason, Hannes, Lunetta, Kathryn L., Mangino, Massimo, Tikkanen, Emmi, Hallberg, Emily, Cox, Angela, Strauch, Konstantin, Pollard, Katherine S., Hottenga, Jouke J., Widen, Elisabeth, Gieger, Christian, Gandin, Ilaria, Dunning, Alison M., Kraft, Peter, Dos-Santos-Silva, Isabel, Van Dijk, Ko Willems, Brand, Judith S., Giles, Graham G., Stolk, Lisette, Michailidou, Kyriaki, Bolla, Manjeet K., Fernández-Rhodes, Lindsay, Hinds, David, Davey Smith, George, Bochud, Murielle, Radice, Paolo, Marco, Brumat, Fasching, Peter A., Chang-Claude, Jenny, Price, Alkes L., Lind, Penelope A., Ruggiero, Daniela, Campbell, Archie, Robino, Antonietta, Hall, Per, Laven, Joop S.E., Metspalu, Andres, Finucane, Hilary, Lambrechts, Diether, Navarro, Pau, Devilee, Peter, Nevanlinna, Heli, O'Mara, Tracy A., Peto, Julian, Ferrucci, Luigi, Schmidt, Marjanka K., Corre, Tanguy, Sorice, Rossella, Ring, Susan M., Winqvist, Robert, Harris, Tamara B., Hayward, Caroline, De Vivo, Immaculata, Dennis, Joe, Porteous, David, Brenner, Hermann, Guénel, Pascal, Kutalik, Zoltan, Truong, Thérèse, Nohr, Ellen A., Perry, John R.B., Porcu, Eleonora, Eriksson, Johan G., Karlsson, Robert, Chanock, Stephen, Esko, Tõnu, Zygmunt, Marek, Nalls, Mike A., Stampfer, Meir, De Geus, Eco J.C.N., Snieder, Harold, Franke, Lude, Boomsma, Dorret I., Bojesen, Stig E., Sala, Cinzia F., Spurdle, Amanda B., Sarkar, Abhishek K., Brüning, Thomas, Hunter, David J., Gudnason, Vilmundur, Chasman, Daniel I., Stefansson, Kari, Vollenweider, Peter, Cousminer, Diana L., Albrecht, Eva, Steri, Maristella, Milani, Lili, Thompson, Deborah J., Broer, Linda, Rose, Lynda M., Lachance, Genevieve, Shah, Mitul, Bergmann, Sven, Ciullo, Marina, Peters, Annette, Pouta, Anneli, Hooning, Maartje J., Langenberg, Claudia, Ruth, Katherine S., Sovio, Ulla, Traglia, Michela, Nolte, Ilja M., He, Chunyan, Wilson, James F., and Kellis, Manolis

Subjects
2. Zero hunger, 3. Good health
Abstract

The timing of puberty is a highly polygenic childhood trait that is epidemiologically associated with various adult diseases. Using 1000 Genomes Project-imputed genotype data in up to similar to 370,000 women, we identify 389 independent signals (P

159. Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche

Author

Perry, John Rb, Day, Felix, Elks, Cathy E, Sulem, Patrick, Thompson, Deborah J, Ferreira, Teresa, He, Chunyan, Chasman, Daniel I, Esko, Tõnu, Thorleifsson, Gudmar, Albrecht, Eva, Ang, Wei Q, Corre, Tanguy, Cousminer, Diana L, Feenstra, Bjarke, Franceschini, Nora, Ganna, Andrea, Johnson, Andrew D, Kjellqvist, Sanela, Lunetta, Kathryn L, McMahon, George, Nolte, Ilja M, Paternoster, Lavinia, Porcu, Eleonora, Smith, Albert V, Stolk, Lisette, Teumer, Alexander, Tšernikova, Natalia, Tikkanen, Emmi, Ulivi, Sheila, Wagner, Erin K, Amin, Najaf, Bierut, Laura J, Byrne, Enda M, Hottenga, Jouke-Jan, Koller, Daniel L, Mangino, Massimo, Pers, Tune H, Yerges-Armstrong, Laura M, Zhao, Jing Hua, Andrulis, Irene L, Anton-Culver, Hoda, Atsma, Femke, Bandinelli, Stefania, Beckmann, Matthias W, Benitez, Javier, Blomqvist, Carl, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Brauch, Hiltrud, Brenner, Hermann, Buring, Julie E, Chang-Claude, Jenny, Chanock, Stephen, Chen, Jinhui, Chenevix-Trench, Georgia, Collée, J Margriet, Couch, Fergus J, Couper, David, Coveillo, Andrea D, Cox, Angela, Czene, Kamila, D'adamo, Adamo Pio, Smith, George Davey, De Vivo, Immaculata, Demerath, Ellen W, Dennis, Joe, Devilee, Peter, Dieffenbach, Aida K, Dunning, Alison M, Eiriksdottir, Gudny, Eriksson, Johan G, Fasching, Peter A, Ferrucci, Luigi, Flesch-Janys, Dieter, Flyger, Henrik, Foroud, Tatiana, Franke, Lude, Garcia, Melissa E, García-Closas, Montserrat, Geller, Frank, De Geus, Eco Ej, Giles, Graham G, Gudbjartsson, Daniel F, Gudnason, Vilmundur, Guénel, Pascal, Guo, Suiqun, Hall, Per, Hamann, Ute, Haring, Robin, Hartman, Catharina A, Heath, Andrew C, Hofman, Albert, Hooning, Maartje J, Hopper, John L, Hu, Frank B, Hunter, David J, Karasik, David, Kiel, Douglas P, Knight, Julia A, Kosma, Veli-Matti, Kutalik, Zoltan, Lai, Sandra, Lambrechts, Diether, Lindblom, Annika, Mägi, Reedik, Magnusson, Patrik K, Mannermaa, Arto, Martin, Nicholas G, Masson, Gisli, McArdle, Patrick F, McArdle, Wendy L, Melbye, Mads, Michailidou, Kyriaki, Mihailov, Evelin, Milani, Lili, Milne, Roger L, Nevanlinna, Heli, Neven, Patrick, Nohr, Ellen A, Oldehinkel, Albertine J, Oostra, Ben A, Palotie, Aarno, Peacock, Munro, Pedersen, Nancy L, Peterlongo, Paolo, Peto, Julian, Pharoah, Paul Dp, Postma, Dirkje S, Pouta, Anneli, Pylkäs, Katri, Radice, Paolo, Ring, Susan, Rivadeneira, Fernando, Robino, Antonietta, Rose, Lynda M, Rudolph, Anja, Salomaa, Veikko, Sanna, Serena, Schlessinger, David, Schmidt, Marjanka K, Southey, Mellissa C, Sovio, Ulla, Stampfer, Meir J, Stöckl, Doris, Storniolo, Anna M, Timpson, Nicholas J, Tyrer, Jonathan, Visser, Jenny A, Vollenweider, Peter, Völzke, Henry, Waeber, Gerard, Waldenberger, Melanie, Wallaschofski, Henri, Wang, Qin, Willemsen, Gonneke, Winqvist, Robert, Wolffenbuttel, Bruce Hr, Wright, Margaret J, Australian Ovarian Cancer Study, GENICA Network, KConFab, LifeLines Cohort Study, InterAct Consortium, Early Growth Genetics (EGG) Consortium, Boomsma, Dorret I, Econs, Michael J, Khaw, Kay-Tee, Loos, Ruth Jf, McCarthy, Mark I, Montgomery, Grant W, Rice, John P, Streeten, Elizabeth A, Thorsteinsdottir, Unnur, Van Duijn, Cornelia M, Alizadeh, Behrooz Z, Bergmann, Sven, Boerwinkle, Eric, Boyd, Heather A, Crisponi, Laura, Gasparini, Paolo, Gieger, Christian, Harris, Tamara B, Ingelsson, Erik, Järvelin, Marjo-Riitta, Kraft, Peter, Lawlor, Debbie, Metspalu, Andres, Pennell, Craig E, Ridker, Paul M, Snieder, Harold, Sørensen, Thorkild Ia, Spector, Tim D, Strachan, David P, Uitterlinden, André G, Wareham, Nicholas J, Widen, Elisabeth, Zygmunt, Marek, Murray, Anna, Easton, Douglas F, Stefansson, Kari, Murabito, Joanne M, and Ong, Ken K

Subjects
Male, Parents, Hypothalamo-Hypophyseal System, Adolescent, Receptors, Retinoic Acid, Ubiquitin-Protein Ligases, Quantitative Trait Loci, Breast Neoplasms, Polymorphism, Single Nucleotide, Body Mass Index, Genomic Imprinting, Potassium Channels, Tandem Pore Domain, Humans, Obesity, Child, Alleles, 2. Zero hunger, Menarche, Calcium-Binding Proteins, Ovary, Age Factors, Membrane Proteins, Proteins, 3. Good health, Europe, Diabetes Mellitus, Type 2, Receptors, GABA-B, Ribonucleoproteins, Cardiovascular Diseases, Genetic Loci, Intercellular Signaling Peptides and Proteins, Female, Genome-Wide Association Study
Abstract

Age at menarche is a marker of timing of puberty in females. It varies widely between individuals, is a heritable trait and is associated with risks for obesity, type 2 diabetes, cardiovascular disease, breast cancer and all-cause mortality. Studies of rare human disorders of puberty and animal models point to a complex hypothalamic-pituitary-hormonal regulation, but the mechanisms that determine pubertal timing and underlie its links to disease risk remain unclear. Here, using genome-wide and custom-genotyping arrays in up to 182,416 women of European descent from 57 studies, we found robust evidence (P < 5 × 10(-8)) for 123 signals at 106 genomic loci associated with age at menarche. Many loci were associated with other pubertal traits in both sexes, and there was substantial overlap with genes implicated in body mass index and various diseases, including rare disorders of puberty. Menarche signals were enriched in imprinted regions, with three loci (DLK1-WDR25, MKRN3-MAGEL2 and KCNK9) demonstrating parent-of-origin-specific associations concordant with known parental expression patterns. Pathway analyses implicated nuclear hormone receptors, particularly retinoic acid and γ-aminobutyric acid-B2 receptor signalling, among novel mechanisms that regulate pubertal timing in humans. Our findings suggest a genetic architecture involving at least hundreds of common variants in the coordinated timing of the pubertal transition.

160. Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche

Author

Tšernikova, Natalia, Stolk, Lisette, Ganna, Andrea, McMahon, George, Esko, Tõnu, Amin, Najaf, Perry, John R. B., Corre, Tanguy, Johnson, Andrew D., Porcu, Eleonora, Wagner, Erin K., Day, Felix, Thorleifsson, Gudmar, Thompson, Deborah J., Elks, Cathy E., Tikkanen, Emmi, Feenstra, Bjarke, Franceschini, Nora, Ferreira, Teresa, Sulem, Patrick, Nolte, Ilja M., Smith, Albert V., Albrecht, Eva, Ulivi, Sheila, Lunetta, Kathryn L., Chasman, Daniel I., Paternoster, Lavinia, Kjellqvist, Sanela, Cousminer, Diana L., Ang, Wei Q., He, Chunyan, and Teumer, Alexander

Subjects
2. Zero hunger, 10. No inequality, 3. Good health
Abstract

Age at menarche is a marker of timing of puberty in females. It varies widely between individuals, is a heritable trait and is associated with risks for obesity, type 2 diabetes, cardiovascular disease, breast cancer and all-cause mortality1. Studies of rare human disorders of puberty and animal models point to a complex hypothalamic-pituitary-hormonal regulation2,3, but the mechanisms that determine pubertal timing and underlie its links to disease risk remain unclear. Here, using genome-wide and custom-genotyping arrays in up to 182,416 women of European descent from 57 studies, we found robust evidence (P

162. Functional characterization of GWAS loci associated with fracture risk

Author

Oei, Ling, Reppe, Sjur, Ntzani, Evangelia, Hibbs, Matthew, Choi, Kwangbom, Zheng, Hou-Feng, Estrada, Karol, Peppel, Jeroen, Nielson, Carrie, Styrkarsdottir, Unnur, Ridker, Paul, Hsu, Yi-Hsiang, Garcia, Melissa, Aragaki, Aaron, Duncan, Emma, Enneman, Anke, Lehtimaki, Terho, Esko, Tonu, Trompet, Stella, Kaptoge, Stephen, Eriksson, Joel, Amin, Najaf, Kung, Annie, Medina-Gomez, Carolina, Tsilidis, Konstantinos, Thorleifsson, Gudmar, Rose, Lynda, Zmuda, Joseph, Liu, Ching-Ti, Vernon-Smith, Albert, Srikanth, Priya, Wilson, Scott, Clark, Graeme, Viikari, Jorma, Mihailov, Evelin, Moayyeri, Alireza, Li, Guo, Kammerer, Candace, Lorentzon, Mattias, Rivera, Natalia, Xiao, Sumei, Yang, Jian, Visscher, Peter, Tranah, Gregory, Evans, Dan, Karasik, David, Siggeirsdottir, Kristin, Oei, Edwin, Stefansson, Kari, Aalto, Ville, Willner, Dana, Wareham, Nicholas, Minster, Ryan, Bis, Joshua, Duijn, Cornelia, Boyle, Alan, Snyder, Michael, Herrera, Lizbeth, Cupples, L. Adrienne, Aspelund, Thor, Raitakari, Olli, Leo, Paul, Khaw, Kay-Tee, Robbins, John, Liu, Yongmei, Breda, Stephan, Luben, Robert, Cauley, Jane, Arnold, Alice, Stolk, Lisette, Pols, Huibert, Hofman, Albert, Shen, Jian, Meurs, Joyce, Sham, Pak, Zillikens, Maria, Ohlsson, Claes, Psaty, Bruce, Harris, Tamara, Reeve, Jonathan, J. Wouter Jukema, Metspalu, Andres, Kahonen, Mika, Velde, Nathalie, Brown, Matthew, Gudnason, Vilmundar, Ioannidis, John, Uitterlinden, Andre, Cummings, Steven, Spector, Timothy, Kiel, Douglas, Jackson, Rebecca, Thorsteinsdottir, Unnur, Chasman, Daniel, Orwoll, Eric, Yadav, Vijay, Leeuwen, Johannes, Evangelou, Evangelos, Grundberg, Elin, Richards, Brent, Gautvik, Kaare, Rivadeneira, Fernando, and Ackert-Bicknell, Cheryl

163. A genome-wide association study of early menopause and the combined impact of identified variants

Author

Perry, John R. B., Corre, Tanguy, Esko, Tõnu, Chasman, Daniel I., Fischer, Krista, Franceschini, Nora, He, Chunyan, Kutalik, Zoltan, Mangino, Massimo, Rose, Lynda M., Vernon Smith, Albert, Stolk, Lisette, Sulem, Patrick, Weedon, Michael N., Zhuang, Wei V., Arnold, Alice, Ashworth, Alan, Bergmann, Sven, Buring, Julie E., Burri, Andrea, Chen, Constance, Cornelis, Marilyn C., Couper, David J., Goodarzi, Mark O., Gudnason, Vilmundur, Harris, Tamara, Hofman, Albert, Jones, Michael, Kraft, Peter, Launer, Lenore, Laven, Joop S. E., Li, Guo, McKnight, Barbara, Masciullo, Corrado, Milani, Lili, Orr, Nicholas, Psaty, Bruce M., Ridker, Paul M., Rivadeneira, Fernando, Sala, Cinzia, Salumets, Andres, Schoemaker, Minouk, Traglia, Michela, Waeber, Gérard, Chanock, Stephen J., Demerath, Ellen W., Garcia, Melissa, Hankinson, Susan E., Hu, Frank B., Hunter, David J., Lunetta, Kathryn L., Metspalu, Andres, Montgomery, Grant W., Murabito, Joanne M., Newman, Anne B., Ong, Ken K., Spector, Tim D., Stefansson, Kari, Swerdlow, Anthony J., Thorsteinsdottir, Unnur, Van Dam, Rob M., Uitterlinden, André G., Visser, Jenny A., Vollenweider, Peter, Toniolo, Daniela, Murray, Anna, Perry, John R. B., Corre, Tanguy, Esko, Tõnu, Chasman, Daniel I., Fischer, Krista, Franceschini, Nora, He, Chunyan, Kutalik, Zoltan, Mangino, Massimo, Rose, Lynda M., Vernon Smith, Albert, Stolk, Lisette, Sulem, Patrick, Weedon, Michael N., Zhuang, Wei V., Arnold, Alice, Ashworth, Alan, Bergmann, Sven, Buring, Julie E., Burri, Andrea, Chen, Constance, Cornelis, Marilyn C., Couper, David J., Goodarzi, Mark O., Gudnason, Vilmundur, Harris, Tamara, Hofman, Albert, Jones, Michael, Kraft, Peter, Launer, Lenore, Laven, Joop S. E., Li, Guo, McKnight, Barbara, Masciullo, Corrado, Milani, Lili, Orr, Nicholas, Psaty, Bruce M., Ridker, Paul M., Rivadeneira, Fernando, Sala, Cinzia, Salumets, Andres, Schoemaker, Minouk, Traglia, Michela, Waeber, Gérard, Chanock, Stephen J., Demerath, Ellen W., Garcia, Melissa, Hankinson, Susan E., Hu, Frank B., Hunter, David J., Lunetta, Kathryn L., Metspalu, Andres, Montgomery, Grant W., Murabito, Joanne M., Newman, Anne B., Ong, Ken K., Spector, Tim D., Stefansson, Kari, Swerdlow, Anthony J., Thorsteinsdottir, Unnur, Van Dam, Rob M., Uitterlinden, André G., Visser, Jenny A., Vollenweider, Peter, Toniolo, Daniela, and Murray, Anna

Abstract

Early menopause (EM) affects up to 10% of the female population, reducing reproductive lifespan considerably. Currently, it constitutes the leading cause of infertility in the western world, affecting mainly those women who postpone their first pregnancy beyond the age of 30 years. The genetic aetiology of EM is largely unknown in the majority of cases. We have undertaken a meta-analysis of genome-wide association studies (GWASs) in 3493 EM cases and 13 598 controls from 10 independent studies. No novel genetic variants were discovered, but the 17 variants previously associated with normal age at natural menopause as a quantitative trait (QT) were also associated with EM and primary ovarian insufficiency (POI). Thus, EM has a genetic aetiology which overlaps variation in normal age at menopause and is at least partly explained by the additive effects of the same polygenic variants. The combined effect of the common variants captured by the single nucleotide polymorphism arrays was estimated to account for ∼30% of the variance in EM. The association between the combined 17 variants and the risk of EM was greater than the best validated non-genetic risk factor, smoking

164. Genome-wide meta-analysis of common variant differences between men and women

Author

Boraska, Vesna, Jerončić, Ana, Colonna, Vincenza, Southam, Lorraine, Nyholt, Dale R., William Rayner, Nigel, Perry, John R.B., Toniolo, Daniela, Albrecht, Eva, Ang, Wei, Bandinelli, Stefania, Barbalic, Maja, Barroso, Inês, Beckmann, Jacques S., Biffar, Reiner, Boomsma, Dorret, Campbell, Harry, Corre, Tanguy, Erdmann, Jeanette, Esko, Tõnu, Fischer, Krista, Franceschini, Nora, Frayling, Timothy M., Girotto, Giorgia, Gonzalez, Juan R., Harris, Tamara B., Heath, Andrew C., Heid, Iris M., Hoffmann, Wolfgang, Hofman, Albert, Horikoshi, Momoko, Hua Zhao, Jing, Jackson, Anne U., Hottenga, Jouke-Jan, Jula, Antti, Kähönen, Mika, Khaw, Kay-Tee, Kiemeney, Lambertus A., Klopp, Norman, Kutalik, Zoltán, Lagou, Vasiliki, Launer, Lenore J., Lehtimäki, Terho, Lemire, Mathieu, Lokki, Marja-Liisa, Loley, Christina, Luan, Jian'an, Mangino, Massimo, Mateo Leach, Irene, Medland, Sarah E., Mihailov, Evelin, Montgomery, Grant W., Navis, Gerjan, Newnham, John, Nieminen, Markku S., Palotie, Aarno, Panoutsopoulou, Kalliope, Peters, Annette, Pirastu, Nicola, Polašek, Ozren, Rehnström, Karola, Ripatti, Samuli, Ritchie, Graham R.S., Rivadeneira, Fernando, Robino, Antonietta, Samani, Nilesh J., Shin, So-Youn, Sinisalo, Juha, Smit, Johannes H., Soranzo, Nicole, Stolk, Lisette, Swinkels, Dorine W., Tanaka, Toshiko, Teumer, Alexander, Tönjes, Anke, Traglia, Michela, Tuomilehto, Jaakko, Valsesia, Armand, van Gilst, Wiek H., van Meurs, Joyce B.J., Smith, Albert Vernon, Viikari, Jorma, Vink, Jacqueline M., Waeber, Gerard, Warrington, Nicole M., Widen, Elisabeth, Willemsen, Gonneke, Wright, Alan F., Zanke, Brent W., Zgaga, Lina, Boehnke, Michael, d'Adamo, Adamo Pio, de Geus, Eco, Demerath, Ellen W., den Heijer, Martin, Eriksson, Johan G., Ferrucci, Luigi, Gieger, Christian, Gudnason, Vilmundur, Hayward, Caroline, Hengstenberg, Christian, Hudson, Thomas J., Järvelin, Marjo-Riitta, Kogevinas, Manolis, Loos, Ruth J.F., Martin, Nicholas G., Metspalu, Andres, Pennell, Craig E., Penninx, Brenda W., Perola, Markus, Raitakari, Olli, Salomaa, Veikko, Schreiber, Stefan, Schunkert, Heribert, Spector, Tim D., Stumvoll, Michael, Uitterlinden, André G., Ulivi, Sheila, van der Harst, Pim, Vollenweider, Peter, Völzke, Henry, Wareham, Nicholas J., Wichmann, H.-Erich, Wilson, James F., Rudan, Igor, Xue, Yali, Zeggini, Eleftheria, Boraska, Vesna, Jerončić, Ana, Colonna, Vincenza, Southam, Lorraine, Nyholt, Dale R., William Rayner, Nigel, Perry, John R.B., Toniolo, Daniela, Albrecht, Eva, Ang, Wei, Bandinelli, Stefania, Barbalic, Maja, Barroso, Inês, Beckmann, Jacques S., Biffar, Reiner, Boomsma, Dorret, Campbell, Harry, Corre, Tanguy, Erdmann, Jeanette, Esko, Tõnu, Fischer, Krista, Franceschini, Nora, Frayling, Timothy M., Girotto, Giorgia, Gonzalez, Juan R., Harris, Tamara B., Heath, Andrew C., Heid, Iris M., Hoffmann, Wolfgang, Hofman, Albert, Horikoshi, Momoko, Hua Zhao, Jing, Jackson, Anne U., Hottenga, Jouke-Jan, Jula, Antti, Kähönen, Mika, Khaw, Kay-Tee, Kiemeney, Lambertus A., Klopp, Norman, Kutalik, Zoltán, Lagou, Vasiliki, Launer, Lenore J., Lehtimäki, Terho, Lemire, Mathieu, Lokki, Marja-Liisa, Loley, Christina, Luan, Jian'an, Mangino, Massimo, Mateo Leach, Irene, Medland, Sarah E., Mihailov, Evelin, Montgomery, Grant W., Navis, Gerjan, Newnham, John, Nieminen, Markku S., Palotie, Aarno, Panoutsopoulou, Kalliope, Peters, Annette, Pirastu, Nicola, Polašek, Ozren, Rehnström, Karola, Ripatti, Samuli, Ritchie, Graham R.S., Rivadeneira, Fernando, Robino, Antonietta, Samani, Nilesh J., Shin, So-Youn, Sinisalo, Juha, Smit, Johannes H., Soranzo, Nicole, Stolk, Lisette, Swinkels, Dorine W., Tanaka, Toshiko, Teumer, Alexander, Tönjes, Anke, Traglia, Michela, Tuomilehto, Jaakko, Valsesia, Armand, van Gilst, Wiek H., van Meurs, Joyce B.J., Smith, Albert Vernon, Viikari, Jorma, Vink, Jacqueline M., Waeber, Gerard, Warrington, Nicole M., Widen, Elisabeth, Willemsen, Gonneke, Wright, Alan F., Zanke, Brent W., Zgaga, Lina, Boehnke, Michael, d'Adamo, Adamo Pio, de Geus, Eco, Demerath, Ellen W., den Heijer, Martin, Eriksson, Johan G., Ferrucci, Luigi, Gieger, Christian, Gudnason, Vilmundur, Hayward, Caroline, Hengstenberg, Christian, Hudson, Thomas J., Järvelin, Marjo-Riitta, Kogevinas, Manolis, Loos, Ruth J.F., Martin, Nicholas G., Metspalu, Andres, Pennell, Craig E., Penninx, Brenda W., Perola, Markus, Raitakari, Olli, Salomaa, Veikko, Schreiber, Stefan, Schunkert, Heribert, Spector, Tim D., Stumvoll, Michael, Uitterlinden, André G., Ulivi, Sheila, van der Harst, Pim, Vollenweider, Peter, Völzke, Henry, Wareham, Nicholas J., Wichmann, H.-Erich, Wilson, James F., Rudan, Igor, Xue, Yali, and Zeggini, Eleftheria

Abstract

The male-to-female sex ratio at birth is constant across world populations with an average of 1.06 (106 male to 100 female live births) for populations of European descent. The sex ratio is considered to be affected by numerous biological and environmental factors and to have a heritable component. The aim of this study was to investigate the presence of common allele modest effects at autosomal and chromosome X variants that could explain the observed sex ratio at birth. We conducted a large-scale genome-wide association scan (GWAS) meta-analysis across 51 studies, comprising overall 114 863 individuals (61 094 women and 53 769 men) of European ancestry and 2 623 828 common (minor allele frequency >0.05) single-nucleotide polymorphisms (SNPs). Allele frequencies were compared between men and women for directly-typed and imputed variants within each study. Forward-time simulations for unlinked, neutral, autosomal, common loci were performed under the demographic model for European populations with a fixed sex ratio and a random mating scheme to assess the probability of detecting significant allele frequency differences. We do not detect any genome-wide significant (P < 5 × 10−8) common SNP differences between men and women in this well-powered meta-analysis. The simulated data provided results entirely consistent with these findings. This large-scale investigation across ∼115 000 individuals shows no detectable contribution from common genetic variants to the observed skew in the sex ratio. The absence of sex-specific differences is useful in guiding genetic association study design, for example when using mixed controls for sex-biased traits

165. A functional polymorphism in the catechol-O-methyltransferase gene is associated with osteoarthritis-related pain.

Author

van Meurs, Joyce B. J., Uitterlinden, Andre G., Stolk, Lisette, Kerkhof, Hanneke J. M., Hofman, Albert, Pols, Huibert A. P., and Bierma-Zeinstra, Sita M. A.

Subjects
GENETIC polymorphisms, METHYLTRANSFERASES, OSTEOARTHRITIS, GENE frequency, VALINE, POLYPHENOLS
Abstract

The article discusses the study which examines whether functional polymorphism affects the result in thermolability of the enzyme compared with the valine variant. The study was conducted to compromise participants to investigate the incidence and determinants of chronic disabling diseases. In addition, the study illustrates a high-risk of pain development for clinical implications with high prevalence of the allele.

Published
2009
Full Text
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167. DNA methylation profiles at birth and child ADHD symptoms.

Author

van Mil, Nina H., Steegers-Theunissen, Régine P.M., Bouwland-Both, Marieke I., Verbiest, Michael M.P.J., Rijlaarsdam, Jolien, Hofman, Albert, Steegers, Eric A.P., Heijmans, Bastiaan T., Jaddoe, Vincent W.V., Verhulst, Frank C., Stolk, Lisette, Eilers, Paul H.C., Uitterlinden, André G., and Tiemeier, Henning

Subjects
*ATTENTION-deficit hyperactivity disorder, *MENTAL illness, *DNA methylation, *CHILD psychology, *MENTAL health, *FETAL development, *CORD blood
Abstract

Abstract: Attention deficit/hyperactivity disorder (ADHD) is a common and highly heritable psychiatric disorder. In addition, early life environmental factors contribute to the occurrence of ADHD. Recently, DNA methylation has emerged as a mechanism potentially mediating genetic and environmental effects. Here, we investigated whether newborn DNA methylation patterns of selected candidate genes involved in psychiatric disorders or fetal growth are associated with ADHD symptoms in childhood. Participants were 426 children from a large population based cohort of Dutch national origin. Behavioral data were obtained at age 6 years with the Child Behavior Checklist. For the current study, 11 regions at 7 different genes were selected. DNA methylation levels of cord blood DNA were measured for the 11 regions combined and for each region separately. We examined the association between DNA methylation levels at different regions and ADHD symptoms with linear mixed models. DNA methylation levels were negatively associated with ADHD symptom score in the overall analysis of all 11 regions. This association was largely explained by associations of DRD4 and 5-HTT regions. Other candidate genes showed no association between DNA methylation levels and ADHD symptom score. Associations between DNA methylation levels and ADHD symptom score were attenuated by co-occurring Oppositional defiant disorder and total symptoms. Lower DNA methylation levels of the 7 genes assessed at birth, were associated with more ADHD symptoms of the child at 6 years of age. Further studies are needed to confirm our results and to investigate the possible underlying mechanism. [Copyright &y& Elsevier]

Published
2014
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168. Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk

Author

Emmi Tikkanen, Pascal Guénel, Rico Rueedi, Hamdi Mbarek, Gerardo Heiss, Hilary K. Finucane, Jing Hua Zhao, Peter K. Joshi, Mark I. McCarthy, Frank B. Hu, Stephen J. Chanock, Manjeet K. Bolla, Sandosh Padmanabhan, Vilmundur Gudnason, Chunyan He, Aarno Palotie, Reedik Mägi, Joe Dennis, Nicholas G. Martin, Behrooz Z. Alizadeh, Elisabeth Widen, Caroline Hayward, Penelope A. Lind, Magdalena Zoledziewska, Ayellet V. Segrè, Fergus J. Couch, Massimo Mangino, Melissa C. Southey, Immaculata De Vivo, Yongmei Liu, Ute Hamann, Angela Cox, Maartje J. Hooning, Iffat Rahman, Mitul Shah, Eric Boerwinkle, Matthias W. Beckmann, Catharina A. Hartman, Tanguy Corre, Kathryn L. Lunetta, Thérèse Truong, Anna Marie Mulligan, Caterina Barbieri, Robert Winqvist, Lili Milani, Cristina Menni, Frits R. Rosendaal, Pau Navarro, Christian Gieger, Ken K. Ong, Stig E. Bojesen, Susan M. Ring, Marjanka K. Schmidt, George McMahon, Deborah J. Thompson, Robert Karlsson, Nicholas J. Timpson, M. Arfan Ikram, Alexander Teumer, Jingmei Li, Christa Meisinger, Diana L. Cousminer, Doris Stöckl, Heli Nevanlinna, Teresa Nutile, Tim D. Spector, Eva Albrecht, Murielle Bochud, Linda Broer, Felix R. Day, Sven Bergmann, Renée de Mutsert, Nicholas J. Wareham, Marjo-Riitta Järvelin, Marzyeh Amini, Elisabeth Altmaier, Isabel dos-Santos-Silva, Peter Vollenweider, Douglas F. Easton, Tamara B. Harris, Ellen A. Nohr, Paul D.P. Pharoah, David J. Porteous, Jenny A. Visser, Ilja M. Nolte, Genevieve Lachance, Thomas Meitinger, Archie Campbell, Thomas Brüning, Graham G. Giles, Johan G. Eriksson, Nancy L. Pedersen, George Davey Smith, Gonneke Willemsen, Joanne M. Murabito, Francesco Cucca, Daniel I. Chasman, Eleonora Porcu, Nora Franceschini, Thibaud Boutin, Ulla Sovio, Roger L. Milne, Annette Peters, Lisette Stolk, Paul M. Ridker, Claudia Langenberg, Patrick Sulem, Toshiko Tanaka, Marike Gabrielson, Judith S. Brand, Unnur Thorsteindottir, Alison M. Dunning, Marina Ciullo, Julie E. Buring, Harold Snieder, Lude Franke, Meir J. Stampfer, Po-Ru Loh, Julian Peto, Ellen W. Demerath, Sheila Ulivi, Ivana Kolcic, Maristella Steri, Jouke J. Hottenga, Amanda B. Spurdle, Tõnu Esko, Katherine S. Pollard, Eulalia Catamo, Anneli Pouta, Kyriaki Michailidou, Dieter Flesch-Janys, James F. Wilson, Kamila Czene, Sean Whalen, Diether Lambrechts, Abhishek Sarkar, Laura Crisponi, Jonathan Tyrer, Antonietta Robino, Sara Lindström, Harald Grallert, Stefania Lenarduzzi, Peter Kraft, Patrik K. E. Magnusson, Lavinia Paternoster, Digna R. Velez Edwards, Mike A. Nalls, Per Hall, Joyce Y. Tung, Cinzia Sala, Lindsay Fernández-Rhodes, Ayush Giri, Hiltrud Brauch, André G. Uitterlinden, Alkes L. Price, Tracy A. O'Mara, Lynda M. Rose, John L. Hopper, David A. Hinds, Katherine S. Ruth, Arto Mannermaa, Uwe Völker, Rossella Sorice, Zoltán Kutalik, Debbie A Lawlor, Georgia Chenevix-Trench, Anna Murray, Albertine J. Oldehinkel, Bruce H. R. Wolffenbuttel, Hae Kyung Im, Dale R. Nyholt, Lenore J. Launer, Andres Metspalu, Irene L. Andrulis, Konstantin Strauch, Albert V. Smith, Daniela Toniolo, Eco J. C. de Geus, Jenny Chang-Claude, Marek Zygmunt, Dorret I. Boomsma, Harry Campbell, Peter Devilee, Henry Völzke, Daniela Ruggiero, Dennis O. Mook-Kanamori, John R. B. Perry, Javier Benitez, Grant W. Montgomery, David J. Hunter, David Karasik, Luigi Ferrucci, Emily Hallberg, Stefania Bandinelli, Hermann Brenner, Raymond Noordam, Sarah E. Medland, Peter A. Fasching, Qin Wang, Ilaria Gandin, Manolis Kellis, Hannes Helgason, Igor Rudan, Paolo Radice, Michela Traglia, Jian'an Luan, Robert A. Scott, Brumat Marco, Veronique Vitart, Kari Stefansson, Katharina E. Schraut, Ko Willems van Dijk, Ozren Polasek, Daniel F. Gudbjartsson, Natalia Perjakova, Joop S.E. Laven, Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, APH - Methodology, Art and Culture, History, Antiquity, Day, Felix R., Thompson, Deborah J., Helgason, Hanne, Chasman, Daniel I., Finucane, Hilary, Sulem, Patrick, Ruth, Katherine S., Whalen, Sean, Sarkar, Abhishek K., Albrecht, Eva, Altmaier, Elisabeth, Amini, Marzyeh, Barbieri, CATERINA MARIA, Boutin, Thibaud, Campbell, Archie, Demerath, Ellen, Giri, Ayush, He, Chunyan, Hottenga, Jouke J., Karlsson, Robert, Kolcic, Ivana, Loh, Po Ru, Lunetta, Kathryn L., Mangino, Massimo, Brumat, Marco, Mcmahon, George, Medland, Sarah E., Nolte, Ilja M., Noordam, Raymond, Nutile, Teresa, Paternoster, Lavinia, Perjakova, Natalia, Porcu, Eleonora, Rose, Lynda M., Schraut, Katharina E., Segrã¨, Ayellet V., Smith, Albert V., Stolk, Lisette, Teumer, Alexander, Andrulis, Irene L., Bandinelli, Stefania, Beckmann, Matthias W., Benitez, Javier, Bergmann, Sven, Bochud, Murielle, Boerwinkle, Eric, Bojesen, Stig E., Bolla, Manjeet K., Brand, Judith S., Brauch, Hiltrud, Brenner, Hermann, Broer, Linda, Brã¼ning, Thoma, Buring, Julie E., Campbell, Harry, Catamo, Eulalia, Chanock, Stephen, Chenevix Trench, Georgia, Corre, Tanguy, Couch, Fergus J., Cousminer, Diana L., Cox, Angela, Crisponi, Laura, Czene, Kamila, Davey Smith, George, De Geus, Eco J. C. N., De Mutsert, Renã©e, De Vivo, Immaculata, Dennis, Joe, Devilee, Peter, Dos Santos Silva, Isabel, Dunning, Alison M., Eriksson, Johan G., Fasching, Peter A., Fernández Rhodes, Lindsay, Ferrucci, Luigi, Flesch Janys, Dieter, Franke, Lude, Gabrielson, Marike, Gandin, Ilaria, Giles, Graham G., Grallert, Harald, Gudbjartsson, Daniel F., Guã©nel, Pascal, Hall, Per, Hallberg, Emily, Hamann, Ute, Harris, Tamara B., Hartman, Catharina A., Heiss, Gerardo, Hooning, Maartje J., Hopper, John L., Hu, Frank, Hunter, David J., Ikram, M. Arfan, Im, Hae Kyung, Jã¤rvelin, Marjo Riitta, Joshi, Peter K., Karasik, David, Kellis, Manoli, Kutalik, Zoltan, Lachance, Genevieve, Lambrechts, Diether, Langenberg, Claudia, Launer, Lenore J., Laven, Joop S. E., Lenarduzzi, Stefania, Li, Jingmei, Lind, Penelope A., Lindstrom, Sara, Liu, Yongmei, Luan, Jian'An, Mã¤gi, Reedik, Mannermaa, Arto, Mbarek, Hamdi, Mccarthy, Mark I., Meisinger, Christa, Meitinger, Thoma, Menni, Cristina, Metspalu, Andre, Michailidou, Kyriaki, Milani, Lili, Milne, Roger L., Montgomery, Grant W., Mulligan, Anna M., Nalls, Mike A., Navarro, Pau, Nevanlinna, Heli, Nyholt, Dale R., Oldehinkel, Albertine J., O'Mara, Tracy A., Padmanabhan, Sandosh, Palotie, Aarno, Pedersen, Nancy, Peters, Annette, Peto, Julian, Pharoah, Paul D. P., Pouta, Anneli, Radice, Paolo, Rahman, Iffat, Ring, Susan M., Robino, Antonietta, Rosendaal, Frits R., Rudan, Igor, Rueedi, Rico, Ruggiero, Daniela, Sala, Cinzia F., Schmidt, Marjanka K., Scott, Robert A., Shah, Mitul, Sorice, Rossella, Southey, Melissa C., Sovio, Ulla, Stampfer, Meir, Steri, Maristella, Strauch, Konstantin, Tanaka, Toshiko, Tikkanen, Emmi, Timpson, Nicholas J., Traglia, Michela, Truong, Thã©rã¨se, Tyrer, Jonathan P., Uitterlinden, André G., Edwards, Digna R. Velez, Vitart, Veronique, Vã¶lker, Uwe, Vollenweider, Peter, Wang, Qin, Widen, Elisabeth, Van Dijk, Ko Willem, Willemsen, Gonneke, Winqvist, Robert, Wolffenbuttel, Bruce H. R., Zhao, Jing Hua, Zoledziewska, Magdalena, Zygmunt, Marek, Alizadeh, Behrooz Z., Boomsma, Dorret I., Ciullo, Marina, Cucca, Francesco, Esko, Tãµnu, Franceschini, Nora, Gieger, Christian, Gudnason, Vilmundur, Hayward, Caroline, Kraft, Peter, Lawlor, Debbie A., Magnusson, Patrik K. E., Martin, Nicholas G., Mook Kanamori, Dennis O., Nohr, Ellen A., Polasek, Ozren, Porteous, David, Price, Alkes L., Ridker, Paul M., Snieder, Harold, Spector, Tim D., Stã¶ckl, Dori, Toniolo, Daniela, Ulivi, Sheila, Visser, Jenny A., Vã¶lzke, Henry, Wareham, Nicholas J., Wilson, James F., LifeLines Cohort, Study, Interact, Consortium, Kconfab/aocs, Investigator, Endometrial Cancer Association, Consortium, Ovarian Cancer Association, Consortium, Practical, Consortium, Spurdle, Amanda B., Thorsteindottir, Unnur, Pollard, Katherine S., Easton, Douglas F., Tung, Joyce Y., Chang Claude, Jenny, Hinds, David, Murray, Anna, Murabito, Joanne M., Stefansson, Kari, Ong, Ken K., Perry, John R. B., Internal Medicine, Erasmus MC other, Medical Oncology, Epidemiology, Obstetrics & Gynecology, Day, Felix [0000-0003-3789-7651], Thompson, Deborah [0000-0003-1465-5799], Dennis, Joe [0000-0003-4591-1214], Dunning, Alison [0000-0001-6651-7166], Langenberg, Claudia [0000-0002-5017-7344], Luan, Jian'an [0000-0003-3137-6337], Pharoah, Paul [0000-0001-8494-732X], Sovio, Ulla [0000-0002-0799-1105], Tyrer, Jonathan [0000-0003-3724-4757], Zhao, Jing Hua [0000-0003-4930-3582], Wareham, Nicholas [0000-0003-1422-2993], Easton, Douglas [0000-0003-2444-3247], Ong, Kenneth [0000-0003-4689-7530], Perry, John [0000-0001-6483-3771], Apollo - University of Cambridge Repository, Massachusetts Institute of Technology. Department of Mathematics, and Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory

Subjects
0301 basic medicine, Male, Netherlands Twin Register (NTR), Ovarian Cancer Association Consortium, LOCI, Genome-wide association study, cancer risk, Menarche/genetics, Bioinformatics, GWAS, menarche, puberty, Body Mass Index, Risk Factors, Neoplasms, Databases, Genetic, WIDE ASSOCIATION, Endometrial Cancer Association Consortium, Ribonucleoproteins/genetics, 2. Zero hunger, Genetics, Age Factors, Genetics GWAS menarche, reproductive disorders, Neoplasms/genetics, 3. Good health, Ribonucleoproteins, Menarche, MENDELIAN RANDOMIZATION, Intercellular Signaling Peptides and Proteins, GROWTH, Female, TRAITS, Population variance, Intercellular Signaling Peptides and Proteins/genetics, Adolescent, Ubiquitin-Protein Ligases, kConFab/AOCS Investigators, Quantitative Trait Loci, Quantitative trait locus, Biology, METABOLISM, INHERITANCE, Polymorphism, Single Nucleotide, PRACTICAL consortium, 03 medical and health sciences, Genomic Imprinting, SDG 3 - Good Health and Well-being, Mendelian randomization, REGRESSION, medicine, Journal Article, Humans, cancer, Genetic Predisposition to Disease, 1000 Genomes Project, Membrane Proteins/genetics, METAANALYSIS, Puberty, Calcium-Binding Proteins, Membrane Proteins, Cancer, InterAct Consortium, Heritability, medicine.disease, BODY-MASS INDEX, 030104 developmental biology, genome-wide association studies, Puberty/genetics, LifeLines Cohort Study, Genome-Wide Association Study
Abstract

The timing of puberty is a highly polygenic childhood trait that is epidemiologically associated with various adult diseases. Using 1000 Genomes Project-imputed genotype data in up to similar to 370,000 women, we identify 389 independent signals (P

Published
2017

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

Author

Lynne J. Hocking, Caterina Barbieri, Jenny Chang-Claude, David Karasik, Dieter Flesch-Janys, James F. Wilson, Mark S. Goldberg, Henry Voelzke, Archie Campbell, Stig E. Bojesen, David R. Weir, Ailith Pirie, Megan L. Grove, Melissa Wellons, Georg Homuth, Corrado Masciullo, Jennifer A. Brody, Hermann Brenner, Paolo Gasparini, Andrew D. Johnson, Patrick Neven, Graham G. Giles, Peter Kraft, André G. Uitterlinden, Wei Zheng, Alkes L. Price, Anja Rudolph, Arto Mannermaa, Nicholas G. Martin, Christopher A. Haiman, Massimo Mangino, Melissa C. Southey, Daniela Ruggiero, Toshiko Tanaka, Kathryn L. Lunetta, Julie E. Buring, John R. B. Perry, Robert Winqvist, Laufey Tryggvadottir, Angela Cox, Serena Sanna, Nicola Pirastu, Anna Jakubowska, Paul D.P. Pharoah, David J. Porteous, Dragana Vuckovic, Andrea D. Coviello, Giorgia Girotto, Sara Lindstroem, Patrick Sulem, Astrid Petersmann, Xin Li, Maartje J. Hooning, Lili Milani, Sven Bergmann, Marek Zygmunt, Javier Benitez, Vilmundur Gudnason, Fernando Rivadeneira, Volker Arndt, Marina Ciullo, Caroline Hayward, Sheila Ulivi, Janet E. Olson, Hoda Anton-Culver, Maria Kabisch, Sara Margolin, Vessela N. Kristensen, Patrick F. McArdle, Tanguy Corre, Nora Franceschini, Veli-Matti Kosma, Hiltrud Brauch, Roger L. Milne, Eric Boerwinkle, Matthias W. Beckmann, Charles Kooperberg, Qin Wang, Jessica D. Faul, Stephen J. Chanock, Alexander Teumer, Mark O. Goodarzi, Unnur Thorsteinsdottir, R Maegi, Paul M. Ridker, Antonis C. Antoniou, Ozren Polasek, Daniel F. Gudbjartsson, Barbara McKnight, Melissa E. Garcia, Manjeet K. Bolla, Alanna C. Morrison, Paolo Radice, Xiuqing Guo, Lude L. Franke, Michela Traglia, Marjanka K. Schmidt, Heli Nevanlinna, Teresa Nutile, Cinzia Sala, Pascal Guénel, Jennifer E. Huffman, Stephen T. Turner, Anna Murray, Carl Blomqvist, Margaux F. Keller, Samuel E. Jones, Montserrat Garcia-Closas, Ivana Kolcic, Anne B. Newman, Jan Lubinski, Albert Hofman, Isabel dos-Santos-Silva, Hilary K. Finucane, Anne Lise Børresen-Dale, Alexander P. Reiner, Tim D. Spector, Gonneke Willemsen, John D. Eicher, Douglas F. Easton, Claudia Langenberg, Anthony J. Swerdlow, Natalia Bogdanova, Alison M. Dunning, Giorgio Pistis, Tõnu Esko, Behrooz Z. Alizadeh, Martina Mueller-Nurasyid, Eleonora Porcu, Laura M. Yerges-Armstrong, Leslie J. Raffel, Laura Crisponi, Gonçalo R. Abecasis, Jerome I. Rotter, Yii-Der Ida Chen, Antonietta Robino, Katri Pylkaes, Ken K. Ong, Thibaud Boutin, Elinor J. Sawyer, Daniel I. Chasman, Brian E. Henderson, Frank B. Hu, Leslie Bernstein, Drakoulis Yannoukakos, Tamara B. Harris, Dorret I. Boomsma, Katherine S. Ruth, Jie Yao, Keith Humphreys, Jennifer A. Smith, Elisabeth Altmaier, Ulrike Peters, Doris Stoeckl, Eva Albrecht, Tatijana Zemunik, Jenny A. Visser, Minouk J. Schoemaker, Diego Vozzi, Thilo Doerk, J. Ross Chapman, Irene L. Andrulis, Joanne M. Murabito, Alan F. Wright, Lisette Stolk, Jonathan Marten, Alice M. Arnold, Paolo Peterlongo, Harry Campbell, Natalia Pervjakova, Jingmei Li, Jennifer Kriebel, Alicia Beeghly-Fadiel, Immaculata De Vivo, Jouke-Jan Hottenga, Kari Stefansson, Cornelia M. van Duijn, Brendan Bulik-Sullivan, Evelin Mihailov, Chunyan He, Joe Dennis, Nicholas J. Wareham, Yongmei Liu, Sharon L.R. Kardia, Lynda M. Rose, Felix R. Day, Georgia Chenevix-Trench, Albert V. Smith, David J. Hunter, Sandosh Padmanabhan, Christian Gieger, Konstantin Strauch, Igor Rudan, Jacques Simard, Jian'an Luan, Robert A. Scott, Kyriaki Michailidou, Bruce M. Psaty, Per Hall, Suzette J. Bielinski, Rita K. Schmutzler, Julian Peto, Ellen W. Demerath, Ursula M. Schick, Rossella Sorice, Wei Zhao, Børge G. Nordestgaard, Andres Metspalu, Jonine D. Figueroa, Julia A. Knight, Barbara Burwinkel, Thomas Bruening, Judith Manz, Anna González-Neira, Ilaria Gandin, Ian Tomlinson, Thérèse Truong, Kent D. Taylor, Amanda E. Toland, Deborah J. Thompson, Alfons Meindl, Caroline M. Seynaeve, Benjamin M. Neale, Fergus J. Couch, Mike A. Nalls, Ute Hamann, Kamila Czene, John L. Hopper, Bruce H. R. Wolffenbuttel, Grant W. Montgomery, Hatef Darabi, Daniela Toniolo, Jinyan Huang, Peter Devilee, Cathy E. Elks, David Schlessinger, Luigi Ferrucci, Frank Schmidt, Peter A. Fasching, Diether Lambrechts, Najaf Amin, Day, Felix R, Ruth, Katherine S, Thompson, Deborah J, Lunetta, Kathryn L, Pervjakova, Natalia, Chasman, Daniel I, Stolk, Lisette, Finucane, Hilary K, Sulem, Patrick, Bulik Sullivan, Brendan, Esko, Tõnu, Johnson, Andrew D, Elks, Cathy E, Franceschini, Nora, He, Chunyan, Altmaier, Elisabeth, Brody, Jennifer A, Franke, Lude L, Huffman, Jennifer E, Keller, Margaux F, Mcardle, Patrick F, Nutile, Teresa, Porcu, Eleonora, Robino, Antonietta, Rose, Lynda M, Schick, Ursula M, Smith, Jennifer A, Teumer, Alexander, Traglia, Michela, Vuckovic, Dragana, Yao, Jie, Zhao, Wei, Albrecht, Eva, Amin, Najaf, Corre, Tanguy, Hottenga, Jouke Jan, Mangino, Massimo, Smith, Albert V, Tanaka, Toshiko, Abecasis, Gonçalo R, Andrulis, Irene L, Anton Culver, Hoda, Antoniou, Antonis C, Arndt, Volker, Arnold, Alice M, Barbieri, CATERINA MARIA, Beckmann, Matthias W, Beeghly Fadiel, Alicia, Benitez, Javier, Bernstein, Leslie, Bielinski, Suzette J, Blomqvist, Carl, Boerwinkle, Eric, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Borresen Dale, Anne Lise, Boutin, Thibaud S, Brauch, Hiltrud, Brenner, Hermann, Brüning, Thoma, Burwinkel, Barbara, Campbell, Archie, Campbell, Harry, Chanock, Stephen J, Chapman, J. Ro, Chen, Yii Der Ida, Chenevix Trench, Georgia, Couch, Fergus J, Coviello, Andrea D, Cox, Angela, Czene, Kamila, Darabi, Hatef, De Vivo, Immaculata, Demerath, Ellen W, Dennis, Joe, Devilee, Peter, Dörk, Thilo, Dos Santos Silva, Isabel, Dunning, Alison M, Eicher, John D, Fasching, Peter A, Faul, Jessica D, Figueroa, Jonine, Flesch Janys, Dieter, Gandin, Ilaria, Garcia, Melissa E, García Closas, Montserrat, Giles, Graham G, Girotto, Giorgia, Goldberg, Mark S, González Neira, Anna, Goodarzi, Mark O, Grove, Megan L, Gudbjartsson, Daniel F, Guénel, Pascal, Guo, Xiuqing, Haiman, Christopher A, Hall, Per, Hamann, Ute, Henderson, Brian E, Hocking, Lynne J, Hofman, Albert, Homuth, Georg, Hooning, Maartje J, Hopper, John L, Hu, Frank B, Huang, Jinyan, Humphreys, Keith, Hunter, David J, Jakubowska, Anna, Jones, Samuel E, Kabisch, Maria, Karasik, David, Knight, Julia A, Kolcic, Ivana, Kooperberg, Charle, Kosma, Veli Matti, Kriebel, Jennifer, Kristensen, Vessela, Lambrechts, Diether, Langenberg, Claudia, Li, Jingmei, Li, Xin, Lindström, Sara, Liu, Yongmei, Luan, Jian'An, Lubinski, Jan, Mägi, Reedik, Mannermaa, Arto, Manz, Judith, Margolin, Sara, Marten, Jonathan, Martin, Nicholas G, Masciullo, Corrado, Meindl, Alfon, Michailidou, Kyriaki, Mihailov, Evelin, Milani, Lili, Milne, Roger L, Müller Nurasyid, Martina, Nalls, Michael, Neale, Benjamin M, Nevanlinna, Heli, Neven, Patrick, Newman, Anne B, Nordestgaard, Børge G, Olson, Janet E, Padmanabhan, Sandosh, Peterlongo, Paolo, Peters, Ulrike, Petersmann, Astrid, Peto, Julian, Pharoah, Paul D. P, Pirastu, Nicola, Pirie, Ailith, Pistis, Giorgio, Polasek, Ozren, Porteous, David, Psaty, Bruce M, Pylkäs, Katri, Radice, Paolo, Raffel, Leslie J, Rivadeneira, Fernando, Rudan, Igor, Rudolph, Anja, Ruggiero, Daniela, Sala, Cinzia F, Sanna, Serena, Sawyer, Elinor J, Schlessinger, David, Schmidt, Marjanka K, Schmidt, Frank, Schmutzler, Rita K, Schoemaker, Minouk J, Scott, Robert A, Seynaeve, Caroline M, Simard, Jacque, Sorice, Rossella, Southey, Melissa C, Stöckl, Dori, Strauch, Konstantin, Swerdlow, Anthony, Taylor, Kent D, Thorsteinsdottir, Unnur, Toland, Amanda E, Tomlinson, Ian, Truong, Thérèse, Tryggvadottir, Laufey, Turner, Stephen T, Vozzi, Diego, Wang, Qin, Wellons, Melissa, Willemsen, Gonneke, Wilson, James F, Winqvist, Robert, Wolffenbuttel, Bruce B. H. R, Wright, Alan F, Yannoukakos, Drakouli, Zemunik, Tatijana, Zheng, Wei, Zygmunt, Marek, Bergmann, Sven, Boomsma, Dorret I, Buring, Julie E, Ferrucci, Luigi, Montgomery, Grant W, Gudnason, Vilmundur, Spector, Tim D, van Duijn, Cornelia M, Alizadeh, Behrooz Z, Ciullo, Marina, Crisponi, Laura, Easton, Douglas F, Gasparini, Paolo, Gieger, Christian, Harris, Tamara B, Hayward, Caroline, Kardia, Sharon L. R, Kraft, Peter, Mcknight, Barbara, Metspalu, Andre, Morrison, Alanna C, Reiner, Alex P, Ridker, Paul M, Rotter, Jerome I, Toniolo, Daniela, Uitterlinden, André G, Ulivi, Sheila, Völzke, Henry, Wareham, Nicholas J, Weir, David R, Yerges Armstrong, Laura M, Price, Alkes L, Stefansson, Kari, Visser, Jenny A, Ong, Ken K, Chang Claude, Jenny, Murabito, Joanne M, Perry, John R. B, Murray, Anna, Internal Medicine, Epidemiology, Medical Oncology, Clinical Genetics, Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, PRACTICAL Consortium, kConFab Investigators, AOCS Investigators, EPIC-InterAct Consortium, LifeLines Cohort Study, Generation, Scotland, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Lifestyle Medicine (LM), Life Course Epidemiology (LCE), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), and Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET)

Subjects
Netherlands Twin Register (NTR), Aging, DNA Repair, LOCI, Genome-wide association study, BLOOD-PRESSURE, Disease, CHROMOSOMAL INSTABILITY, Bioinformatics, HOMOLOGOUS RECOMBINATION, PREMATURE OVARIAN FAILURE, Genotype, BRCA2 MUTATION CARRIERS, WIDE ASSOCIATION, Gene Regulatory Networks, NATURAL MENOPAUSE, Genetics, education.field_of_study, menopause, DDR, BODY-MASS INDEX, CELL-TYPES, BRCA1 Protein, Reproduction, BRCA1-mediated DNA repair, Age Factors, Obstetrics and Gynecology, General Medicine, Genomics, Middle Aged, 3. Good health, Menopause, Phenotype, Female, medicine.symptom, Signal Transduction, Delayed puberty, Adult, DNA repair, Population, Hypothalamus, Single-nucleotide polymorphism, Breast Neoplasms, Biology, Lower risk, DDR, Article, Breast cancer, SDG 3 - Good Health and Well-being, Mendelian randomization, medicine, Humans, Genetic Predisposition to Disease, Allele, education, Genetic association, Models, Genetic, business.industry, Genetic Variation, medicine.disease, Aging/genetics, BRCA1 Protein/genetics, Breast Neoplasms/genetics, Gene Regulatory Networks/genetics, Genetic Predisposition to Disease/genetics, Genome-Wide Association Study/methods, Genomics/methods, Hypothalamus/metabolism, Menopause/genetics, Reproduction/genetics, Signal Transduction/genetics, business, Genome-Wide Association Study
Abstract

Menopause timing has a major impact on infertility and risk of disease. Younger age at natural (nonsurgical) menopause (ANM) is associated with a higher risk of osteoporosis, cardiovascular disease, and type 2 diabetes and a lower risk of breast cancer. Late menopause is associated with a higher risk of breast cancer. It is well known that the age at which women go through menopause is partly determined by genes, but the underlying mechanisms are poorly understood. Genome-wide association studies have identified 18 common genetic variants associated with ANM. These variants explain less than 5% of the variation in ANM compared with the 21% explained by all common variants on genome-wide association study arrays. This genome-wide association study was the collaborative effort of researchers from 177 institutions worldwide. The study was designed to investigate genetic variants associated with timing of menopause among a population of approximately 70,000 women of European ancestry. A dual strategy was used to identify both common and, for the first time, low-frequency coding variants associated with ANM. The causal relationship between ANM and breast cancer was investigated using a Mendelian randomization approach. Combined analysis identified 1208 single-nucleotide polymorphisms (SNPs) of a total of approximately 2.6 million that reached the genome-wide significance threshold for association with ANM. Forty-four regions with common variants were identified; among these 44 loci were 2 rare low-frequency missense alleles of large effect. A majority of ANM SNPs were enriched in DNA damage response (DDR) genes, including the first common coding variant in BRCA1 associated with any complex trait. Mendelian randomization analyses supported a causal relationship between delayed ANM and breast cancer risk; there was approximately 6% increase in risk per year; P = 3 × 10-14); increased risk with delayed menopause appeared to be mediated primarily by prolonged sex hormone exposure in a woman’s lifetime, not DDR mechanisms. This is the first study to confirm the link between early and late menopause and breast cancer risk using genetic information. Age at natural menopause genetic variants influence breast cancer risk primarily through variation in menopause timing. Although carrying higher numbers of ANM-increasing variants and enrichment in DDR genes are associated with a modest increase in breast cancer risk, the major mechanism for increased risk appears to be prolonged estrogen and/or progesterone exposure due to delayed menopause.

Published
2015

170. Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche

Author

Jing Hua Zhao, Vilmundur Gudnason, Robin Haring, Enda M. Byrne, Christian Gieger, Marek Zygmunt, Lude Franke, Peter Kraft, Eric Boerwinkle, Matthias W. Beckmann, Catharina A. Hartman, Thorkild I. A. Sørensen, Aida Karina Dieffenbach, André G. Uitterlinden, Grant W. Montgomery, Graham G. Giles, Felix R. Day, Anja Rudolph, Arto Mannermaa, Sven Bergmann, Nora Franceschini, Julian Peto, Ellen W. Demerath, Diana L. Cousminer, Wei Ang, Gudmar Thorleifsson, Patrick F. McArdle, Dieter Flesch-Janys, Albertine J. Oldehinkel, Irene L. Andrulis, Aarno Palotie, Nicholas J. Timpson, Paolo Peterlongo, Johan G. Eriksson, Bernardo Bonanni, Dorret I. Boomsma, J. Margriet Collée, Immaculata De Vivo, Bjarke Feenstra, Teresa Ferreira, Cornelia M. van Duijn, Nancy L. Pedersen, Deborah J. Thompson, Peter Vollenweider, Douglas F. Easton, Pascal Guénel, Anna Maria Storniolo, Erik Ingelsson, Gisli Masson, Annika Lindblom, Stefania Bandinelli, Elisabeth Widen, Doris Stöckl, Veikko Salomaa, Zoltán Kutalik, Nicholas J. Wareham, Joanne M. Murabito, Eleonora Porcu, Fergus J. Couch, Katri Pylkäs, Luigi Ferrucci, Wendy L. McArdle, Frank Geller, Andrea D. Coviello, Lynda M. Rose, Daniel L. Koller, Ute Hamann, Ulla Sovio, Daniel F. Gudbjartsson, Georgia Chenevix-Trench, Roger L. Milne, Unnur Thorsteinsdottir, Paul M. Ridker, Henry Völzke, John R. B. Perry, Stephen J. Chanock, Tanguy Corre, Mads Melbye, Ben A. Oostra, Albert V. Smith, Tõnu Esko, Melissa E. Garcia, Debbie A Lawlor, Meir J. Stampfer, Per Hall, Patrick Sulem, Massimo Mangino, Nicholas G. Martin, David J. Hunter, Laura Crisponi, Tatiana Foroud, Antonietta Robino, Michael J. Econs, Susan M. Ring, Natalia Tšernikova, Dirkje S. Postma, Lavinia Paternoster, Peter A. Fasching, Tamara B. Harris, Ellen A. Nohr, Javier Benitez, Ruth J. F. Loos, Robert Winqvist, Andres Metspalu, Jenny A. Visser, Heather A. Boyd, Jonathan Tyrer, Alexander Teumer, Tim D. Spector, Sandra Lai, Douglas P. Kiel, Kamila Czene, Hiltrud Brauch, George Davey Smith, Julia A. Knight, Erin K. Wagner, Suiqun Guo, Tune H. Pers, Patrik K. E. Magnusson, Kathryn L. Lunetta, Hoda Anton-Culver, Marjanka K. Schmidt, George McMahon, Ken K. Ong, Adamo Pio D'Adamo, Veli-Matti Kosma, Jinhui Chen, Paul D.P. Pharoah, Diether Lambrechts, Femke Atsma, Serena Sanna, Ilja M. Nolte, Eco de Geus, Daniel I. Chasman, Emmi Tikkanen, John L. Hopper, Anna Murray, Laura M. Yerges-Armstrong, Sanela Kjellqvist, Eva Albrecht, Hermann Brenner, Paolo Gasparini, Bruce H. R. Wolffenbuttel, Alison M. Dunning, John P. Rice, Craig E. Pennell, Mark I. McCarthy, Andrea Ganna, Henri Wallaschofski, Frank B. Hu, Gérard Waeber, Henrik Flyger, Evelin Mihailov, Peter Devilee, Lisette Stolk, Behrooz Z. Alizadeh, Jouke-Jan Hottenga, Najaf Amin, Patrick Neven, Reedik Mägi, Kyriaki Michailidou, Kari Stefansson, Munro Peacock, Julie E. Buring, Laura J. Bierut, Cathy E. Elks, Marjo-Riitta Järvelin, Montserrat Garcia-Closas, Anneli Pouta, David Schlessinger, Harold Snieder, Chunyan He, Joe Dennis, Heli Nevanlinna, Gonneke Willemsen, Andrew C. Heath, Elizabeth A. Streeten, Albert Hofman, Angela Cox, Maartje J. Hooning, Lili Milani, Margaret J. Wright, Fernando Rivadeneira, Gudny Eiriksdottir, Mellissa C. Southey, Qin Wang, Paolo Radice, Manjeet K. Bolla, Kay-Tee Khaw, Carl Blomqvist, Melanie Waldenberger, Sheila Ulivi, David Couper, Jenny Chang-Claude, David Karasik, Stig E. Bojesen, Andrew D. Johnson, David P. Strachan, Perry, John [0000-0001-6483-3771], Day, Felix [0000-0003-3789-7651], Thompson, Deborah [0000-0003-1465-5799], Zhao, Jing Hua [0000-0003-4930-3582], Dennis, Joe [0000-0003-4591-1214], Dunning, Alison [0000-0001-6651-7166], Pharoah, Paul [0000-0001-8494-732X], Sovio, Ulla [0000-0002-0799-1105], Tyrer, Jonathan [0000-0003-3724-4757], Wang, Jean [0000-0002-9139-0627], Khaw, Kay-Tee [0000-0002-8802-2903], Wareham, Nicholas [0000-0003-1422-2993], Easton, Douglas [0000-0003-2444-3247], Ong, Kenneth [0000-0003-4689-7530], Apollo - University of Cambridge Repository, Australian Ovarian Cancer Study, GENICA Network, kConFab, LifeLines Cohort Study, InterAct Consortium, Early Growth Genetics (EGG) Consortium, Cousminer, D.L., Stergiakouli, E., Berry, D.J., Ang, W., Groen-Blokhuis, M.M., Körner, A., Siitonen, N., Ntalla, I., Marinelli, M., Perry, J.R., Kettunen, J., Jansen, R., Surakka, I., Timpson, N.J., Ring, S., McMahon, G., Power, C., Wang, C., Kähönen, M., Viikari, J., Lehtimäki, T., Middeldorp, C.M., Hulshoff Pol, H.E., Neef, M., Weise, S., Pahkala, K., Niinikoski, H., Zeggini, E., Panoutsopoulou, K., Bustamante, M., Penninx, B.W., Murabito, J., Torrent, M., Dedoussis, G.V., Kiess, W., Boomsma, D.I., Pennell, C.E., Raitakari, O.T., Hyppönen, E., Davey Smith, G., Ripatti, S., McCarthy, M.I., Widén, E., Alizadeh, B.Z., de Boer, R.A., Boezen, H.M., Bruinenberg, M., Franke, L., van der Harst, P., Hillege, H.L., van der Klauw, M.M., Navis, G., Ormel, J., Postma, D., Rosmalen, J.G., Slaets, J.P., Snieder, H., Stolk, R.P., Wolffenbuttel, B.H., Wijmenga, C., Forouhi, N., Kerrison, N.D., Langenberg, C., Scott, R.A., Sharp, S.J., Sims, M., Barroso, I., Deloukas, P., Arriola, L., Balkau, B., Barricarte, A., Boeing, H., Franks, P.W., Gonzalez, C., Grioni, S., Kaaks, R., Key, T.J., Navarro, C., Nilsson, P.M., Overvad, K., Palli, D., Panico, S., Quirós, J., Rolandsson, O., Sacerdote, C., Sánchez, M.J., Slimani, N., Tjonneland, A., Tumino, R., van der A, D.L., van der Schouw, Y.T., Riboli, E., Wareham, N.J., Bowtell, D.D., Green, A., Chenevix-Trench, G., deFazio, A., Gertig, D., Webb, P.M., Brauch, H., Justenhoven, C., Hamann, U., Ko, Y.D., Baisch, C., Fischer, H.P., Pesch, B., Rabstein, S., Spickenheuer, A., Harth, V., Aghmesheh, M., Amor, D., Andrews, L., Antill, Y., Armitage, S., Arnold, L., Balleine, R., Bankier, A., Bastick, P., Beesley, J., Beilby, J., Bennett, I., Bennett, B., Berry, G., Blackburn, A., Bogwitz, M., Brennan, M., Brown, M., Buckley, M., Burgess, M., Burke, J., Butow, P., Byron, K., Callen, D., Campbell, I., Chauhan, D., Christian, A., Clarke, C., Colley, A., Cotton, D., Crook, A., Cui, J., Culling, B., Cummings, M., Dawson, S.J., Delatycki, M., Dickson, R., Dixon, J., Dobrovic, A., Dudding, T., Edkins, T., Edwards, S., Eisenbruch, M., Farshid, G., Fawcett, S., Fellows, A., Fenton, G., Field, M., Firgaira, F., Flanagan, J., Fleming, J., Fong, P., Forbes, J., Fox, S., French, J., Friedlander, M., Gaff, C., Gardner, M., Gattas, M., George, P., Giles, G., Gill, G., Goldblatt, J., Greening, S., Grist, S., Eric, H., Hardie, K., Harris, M., Hart, S., Hayward, N., Healey, S., Heiniger, L., Hopper, J., Humphrey, E., Hunt, C., James, P., Jenkins, M., Jones, A., Kefford, R., Kidd, A., Kiely, B., Kirk, J., Koehler, J., Kollias, J., Kovalenko, S., Lakhani, S., Leaming, A., Leary, J., Lim, J., Lindeman, G., Lipton, L., Lobb, L., Mann, G., Marsh, D., McLachlan, S.A., Meiser, B., Meldrum, C., Milne, R., Mitchell, G., Newman, B., O'Connell, S., O'Loughlin, I., Osborne, R., Pachter, N., Patterson, B., Peters, L., Phillips, K., Price, M., Purser, L., Reeve, J., Reeve, T., Richards, R., Rickard, E., Robinson, B., Rudzki, B., Saleh, M., Salisbury, E., Sambrook, J., Saunders, C., Saunus, J., Sayer, R., Scott, E., Scott, R., Scott, C., Seshadri, R., Sexton, A., Sharma, R., Shelling, A., Simpson, P., Southey, M., Spurdle, A., Suthers, G., Sykes, P., Taylor, D., Taylor, J., Thierry, B., Thompson, E., Thorne, H., Townshend, S., Trainer, A., Tran, L., Tucker, K., Tyler, J., Visvader, J., Walker, L., Walpole, I., Waring, P., Warner, B., Warren, G., Williams, R., Wilson, J., Winship, I., Wu, K., Young, M.A., Public Health, Internal Medicine, Epidemiology, Clinical Genetics, Medical Oncology, Child and Adolescent Psychiatry / Psychology, Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Groningen Research Institute for Asthma and COPD (GRIAC), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Biological Psychology, EMGO+ - Lifestyle, Overweight and Diabetes, Political Science, Perry, John R. B, Day, Felix, Elks, Cathy E, Sulem, Patrick, Thompson, Deborah J, Ferreira, Teresa, He, Chunyan, Chasman, Daniel I, Esko, Tõnu, Thorleifsson, Gudmar, Albrecht, Eva, Ang, Wei Q, Corre, Tanguy, Cousminer, Diana L, Feenstra, Bjarke, Franceschini, Nora, Ganna, Andrea, Johnson, Andrew D, Kjellqvist, Sanela, Lunetta, Kathryn L, Mcmahon, George, Nolte, Ilja M, Paternoster, Lavinia, Porcu, Eleonora, Smith, Albert V, Stolk, Lisette, Teumer, Alexander, Tšernikova, Natalia, Tikkanen, Emmi, Ulivi, Sheila, Wagner, Erin K, Amin, Najaf, Bierut, Laura J, Byrne, Enda M, Hottenga, Jouke Jan, Koller, Daniel L, Mangino, Massimo, Pers, Tune H, Yerges Armstrong, Laura M, Hua Zhao, Jing, Andrulis, Irene L, Anton Culver, Hoda, Atsma, Femke, Bandinelli, Stefania, Beckmann, Matthias W, Benitez, Javier, Blomqvist, Carl, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Brauch, Hiltrud, Brenner, Hermann, Buring, Julie E, Chang Claude, Jenny, Chanock, Stephen, Chen, Jinhui, Chenevix Trench, Georgia, Collée, J. Margriet, Couch, Fergus J, Couper, David, Coviello, Andrea D, Cox, Angela, Czene, Kamila, D'Adamo, Adamo Pio, Davey Smith, George, De Vivo, Immaculata, Demerath, Ellen W, Dennis, Joe, Devilee, Peter, Dieffenbach, Aida K, Dunning, Alison M, Eiriksdottir, Gudny, Eriksson, Johan G, Fasching, Peter A, Ferrucci, Luigi, Flesch Janys, Dieter, Flyger, Henrik, Foroud, Tatiana, Franke, Lude, Garcia, Melissa E, García Closas, Montserrat, Geller, Frank, de Geus, Eco E. J, Giles, Graham G, Gudbjartsson, Daniel F, Gudnason, Vilmundur, Guénel, Pascal, Guo, Suiqun, Hall, Per, Hamann, Ute, Haring, Robin, Hartman, Catharina A, Heath, Andrew C, Hofman, Albert, Hooning, Maartje J, Hopper, John L, Hu, Frank B, Hunter, David J, Karasik, David, Kiel, Douglas P, Knight, Julia A, Kosma, Veli Matti, Kutalik, Zoltan, Lai, Sandra, Lambrechts, Diether, Lindblom, Annika, Mägi, Reedik, Magnusson, Patrik K, Mannermaa, Arto, Martin, Nicholas G, Masson, Gisli, Mcardle, Patrick F, Mcardle, Wendy L, Melbye, Mad, Michailidou, Kyriaki, Mihailov, Evelin, Milani, Lili, Milne, Roger L, Nevanlinna, Heli, Neven, Patrick, Nohr, Ellen A, Oldehinkel, Albertine J, Oostra, Ben A, Palotie, Aarno, Peacock, Munro, Pedersen, Nancy L, Peterlongo, Paolo, Peto, Julian, Pharoah, Paul D. P, Postma, Dirkje S, Pouta, Anneli, Pylkäs, Katri, Radice, Paolo, Ring, Susan, Rivadeneira, Fernando, Robino, Antonietta, Rose, Lynda M, Rudolph, Anja, Salomaa, Veikko, Sanna, Serena, Schlessinger, David, Schmidt, Marjanka K, Southey, Mellissa C, Sovio, Ulla, Stampfer, Meir J, Stöckl, Dori, Storniolo, Anna M, Timpson, Nicholas J, Tyrer, Jonathan, Visser, Jenny A, Vollenweider, Peter, Völzke, Henry, Waeber, Gerard, Waldenberger, Melanie, Wallaschofski, Henri, Wang, Qin, Willemsen, Gonneke, Winqvist, Robert, Wolffenbuttel, Bruce H. R, Wright, Margaret J, Boomsma, Dorret I, Econs, Michael J, Khaw, Kay Tee, Loos, Ruth J. F, Mccarthy, Mark I, Montgomery, Grant W, Rice, John P, Streeten, Elizabeth A, Thorsteinsdottir, Unnur, van Duijn, Cornelia M, Alizadeh, Behrooz Z, Bergmann, Sven, Boerwinkle, Eric, Boyd, Heather A, Crisponi, Laura, Gasparini, Paolo, Gieger, Christian, Harris, Tamara B, Ingelsson, Erik, Järvelin, Marjo Riitta, Kraft, Peter, Lawlor, Debbie, Metspalu, Andre, Pennell, Craig E, Ridker, Paul M, Snieder, Harold, Sørensen, Thorkild I. A, Spector, Tim D, Strachan, David P, Uitterlinden, André G, Wareham, Nicholas J, Widen, Elisabeth, Zygmunt, Marek, Murray, Anna, Easton, Douglas F, Stefansson, Kari, Murabito, Joanne M, Ong, Ken K., Panico, Salvatore, Perry, John R. B., Elks, Cathy E., Thompson, Deborah J., Chasman, Daniel I., Ang, Wei Q., Cousminer, Diana L., Johnson, Andrew D., Lunetta, Kathryn L., Nolte, Ilja M., Smith, Albert V., Wagner, Erin K., Bierut, Laura J., Byrne, Enda M., Koller, Daniel L., Pers, Tune H., Yerges Armstrong, Laura M., Zhao, Jing Hua, Andrulis, Irene L., Beckmann, Matthias W., Bojesen, Stig E., Bolla, Manjeet K., Buring, Julie E., Couch, Fergus J., Coviello, Andrea D., D'Adamo, ADAMO PIO, Smith, George Davey, Demerath, Ellen W., Dieffenbach, Aida K., Dunning, Alison M., Eriksson, Johan G., Fasching, Peter A., Garcia, Melissa E., De Geus, Eco E. J., Giles, Graham G., Gudbjartsson, Daniel F., Hartman, Catharina A., Heath, Andrew C., Hooning, Maartje J., Hopper, John L., Hu, Frank B., Hunter, David J., Kiel, Douglas P., Knight, Julia A., Magnusson, Patrik K., Martin, Nicholas G., Mcardle, Patrick F., Mcardle, Wendy L., Milne, Roger L., Nohr, Ellen A., Oldehinkel, Albertine J., Oostra, Ben A., Pedersen, Nancy L., Pharoah, Paul D. P., Postma, Dirkje S., Rose, Lynda M., Schmidt, Marjanka K., Southey, Mellissa C., Stampfer, Meir J., Storniolo, Anna M., Timpson, Nicholas J., Visser, Jenny A., Wolffenbuttel, Bruce H. R., Wright, Margaret J., Boomsma, Dorret I., Econs, Michael J., Loos, Ruth J. F., Mccarthy, Mark I., Montgomery, Grant W., Rice, John P., Streeten, Elizabeth A., Van Duijn, Cornelia M., Alizadeh, Behrooz Z., Boyd, Heather A., Harris, Tamara B., Pennell, Craig E., Ridker, Paul M., Sørensen, Thorkild I. A., Spector, Tim D., Strachan, David P., Uitterlinden, André G., Wareham, Nicholas J., Easton, Douglas F., and Murabito, Joanne M.

Subjects
Netherlands Twin Register (NTR), Male, Parents, CENTRAL PRECOCIOUS PUBERTY, Genome-wide association study, Disease, VARIANTS, DISEASE, Body Mass Index, 0302 clinical medicine, Adolescent, Age Factors, Alleles, Breast Neoplasms/genetics, Cardiovascular Diseases/genetics, Child, Diabetes Mellitus, Type 2/genetics, Europe/ethnology, Female, Genetic Loci/genetics, Genome-Wide Association Study, Genomic Imprinting/genetics, Humans, Hypothalamo-Hypophyseal System/physiology, Intercellular Signaling Peptides and Proteins/genetics, Membrane Proteins/genetics, Menarche/genetics, Obesity/genetics, Ovary/physiology, Polymorphism, Single Nucleotide/genetics, Potassium Channels, Tandem Pore Domain/genetics, Proteins/genetics, Quantitative Trait Loci/genetics, Receptors, GABA-B/metabolism, Receptors, Retinoic Acid/metabolism, Ribonucleoproteins/genetics, Intercellular Signaling Peptides and Protein, Age Factor, Tandem Pore Domain, GENE-EXPRESSION, 0303 health sciences, BREAST-CANCER RISK, 3. Good health, Ribonucleoproteins, Cardiovascular Diseases, Menarche, Intercellular Signaling Peptides and Proteins, Science & Technology - Other Topics, GENICA Network, Breast Neoplasm, Type 2, Human, Hypothalamo-Hypophyseal System, Quantitative Trait Loci, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, REVEALS, Diabetes Mellitus, Polymorphism, METAANALYSIS, Science & Technology, ta1184, Calcium-Binding Proteins, Proteins, HUMAN PREFRONTAL CORTEX, ta3121, ta3123, Diabetes Mellitus, Type 2, Genetic Loci, CELLS, 030217 neurology & neurosurgery, LifeLines Cohort Study, Potassium Channels, Receptors, Retinoic Acid, Retinoic Acid, Australian Ovarian Cancer Study, Polymorphism (computer science), Cardiovascular Disease, Receptors, WIDE ASSOCIATION, Membrane Protein, Allele, 2. Zero hunger, Genetics, Multidisciplinary, Single Nucleotide, Europe, Multidisciplinary Sciences, kConFab, Breast Neoplasms, Genomic Imprinting, Membrane Proteins, Obesity, Ovary, Polymorphism, Single Nucleotide, Potassium Channels, Tandem Pore Domain, Receptors, GABA-B, General Science & Technology, Ubiquitin-Protein Ligases, Quantitative trait locus, Biology, Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18], Early Growth Genetics (EGG) Consortium, 030304 developmental biology, Protein, GABA-B, Ribonucleoprotein, InterAct Consortium, Genetic architecture, Parent, Genomic imprinting
Abstract

Contains fulltext : 136472.pdf (Publisher’s version ) (Closed access) Age at menarche is a marker of timing of puberty in females. It varies widely between individuals, is a heritable trait and is associated with risks for obesity, type 2 diabetes, cardiovascular disease, breast cancer and all-cause mortality. Studies of rare human disorders of puberty and animal models point to a complex hypothalamic-pituitary-hormonal regulation, but the mechanisms that determine pubertal timing and underlie its links to disease risk remain unclear. Here, using genome-wide and custom-genotyping arrays in up to 182,416 women of European descent from 57 studies, we found robust evidence (P < 5 x 10(-8)) for 123 signals at 106 genomic loci associated with age at menarche. Many loci were associated with other pubertal traits in both sexes, and there was substantial overlap with genes implicated in body mass index and various diseases, including rare disorders of puberty. Menarche signals were enriched in imprinted regions, with three loci (DLK1-WDR25, MKRN3-MAGEL2 and KCNK9) demonstrating parent-of-origin-specific associations concordant with known parental expression patterns. Pathway analyses implicated nuclear hormone receptors, particularly retinoic acid and gamma-aminobutyric acid-B2 receptor signalling, among novel mechanisms that regulate pubertal timing in humans. Our findings suggest a genetic architecture involving at least hundreds of common variants in the coordinated timing of the pubertal transition.

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171. Newborn DNA-methylation, childhood lung function, and the risks of asthma and COPD across the life course.

Author

den Dekker HT, Burrows K, Felix JF, Salas LA, Nedeljkovic I, Yao J, Rifas-Shiman SL, Ruiz-Arenas C, Amin N, Bustamante M, DeMeo DL, Henderson AJ, Howe CG, Hivert MF, Ikram MA, de Jongste JC, Lahousse L, Mandaviya PR, van Meurs JB, Pinart M, Sharp GC, Stolk L, Uitterlinden AG, Anto JM, Litonjua AA, Breton CV, Brusselle GG, Sunyer J, Smith GD, Relton CL, Jaddoe VWV, and Duijts L

Subjects
Adolescent, Child, Forced Expiratory Volume genetics, Humans, Infant, Newborn, Risk Assessment, Vital Capacity genetics, Asthma epidemiology, Asthma genetics, DNA Methylation, Pulmonary Disease, Chronic Obstructive epidemiology, Pulmonary Disease, Chronic Obstructive genetics
Abstract

Rationale: We aimed to identify differentially methylated regions (DMRs) in cord blood DNA associated with childhood lung function, asthma and chronic obstructive pulmonary disease (COPD) across the life course., Methods: We meta-analysed epigenome-wide data of 1688 children from five cohorts to identify cord blood DMRs and their annotated genes, in relation to forced expiratory volume in 1 s (FEV 1 ), FEV 1 /forced vital capacity (FVC) ratio and forced expiratory flow at 75% of FVC at ages 7-13 years. Identified DMRs were explored for associations with childhood asthma, adult lung function and COPD, gene expression and involvement in biological processes., Results: We identified 59 DMRs associated with childhood lung function, of which 18 were associated with childhood asthma and nine with COPD in adulthood. Genes annotated to the top 10 identified DMRs were HOXA5 , PAOX , LINC00602 , ABCA7 , PER3 , CLCA1 , VENTX , NUDT12 , PTPRN2 and TCL1A . Differential gene expression in blood was observed for 32 DMRs in childhood and 18 in adulthood. Genes related with 16 identified DMRs were associated with respiratory developmental or pathogenic pathways., Interpretation: Our findings suggest that the epigenetic status of the newborn affects respiratory health and disease across the life course., Competing Interests: Conflict of interest: H.T. den Dekker has nothing to disclose. Conflict of interest: K. Burrows has nothing to disclose. Conflict of interest: J.F. Felix reports funding from the European Union's Horizon 2020 research and innovation programme under grant agreement number 633595 (DynaHEALTH). The Generation R Study received funding from the European Union's Horizon 2020 research and innovation programme (733206, LIFECYCLE). Conflict of interest: L.A. Salas has nothing to disclose. Conflict of interest: I. Nedeljkovic has nothing to disclose. Conflict of interest: J. Yao has nothing to disclose. Conflict of interest: S.L. Rifas-Shiman has nothing to disclose. Conflict of interest: V. Ruiz-Arenas has nothing to disclose. Conflict of interest: N. Amin has nothing to disclose. Conflict of interest: M. Bustamante has nothing to disclose. Conflict of interest: D.L. DeMeo reports grants from National Institutes of Health, and personal fees from Novartis, outside the submitted work. Conflict of interest: A.J. Henderson reports grants from Medical Research Council and Wellcome, during the conduct of the study. Conflict of interest: C.G. Howe has nothing to disclose. Conflict of interest: M-F. Hivert has nothing to disclose. Conflict of interest: M.A. Ikram has nothing to disclose. Conflict of interest: J.C. de Jongste has nothing to disclose. Conflict of interest: L. Lahousse has nothing to disclose. Conflict of interest: P.R. Mandaviya has nothing to disclose. Conflict of interest: J.B. van Meurs has nothing to disclose. Conflict of interest: M. Pinart has nothing to disclose. Conflict of interest: G.C. Sharp has nothing to disclose. Conflict of interest: L. Stolk has nothing to disclose. Conflict of interest: A.G. Uitterlinden has nothing to disclose. Conflict of interest: J.M. Antó has nothing to disclose. Conflict of interest: A.A. Litonjua has nothing to disclose. Conflict of interest: C.V. Breton has nothing to disclose. Conflict of interest: G.G. Brusselle has nothing to disclose. Conflict of interest: J. Sunyer has nothing to disclose. Conflict of interest: G.D. Smith has nothing to disclose. Conflict of interest: C.L. Relton has nothing to disclose. Conflict of interest: V.W.V. Jaddoe reports funding from the European Union's Horizon 2020 research and innovation programme under grant agreement number 633595 (DynaHEALTH). The Generation R Study received funding from the European Union's Horizon 2020 research and innovation programme (733206, LIFECYCLE). Conflict of interest: L. Duijts reports grants from Lung Foundation Netherlands and from the European Union's Horizon 2020 research and innovation programme under grant agreement number 733206 (LIFECYCLE), and speaker fees for the CIPP2016 conference from Abbvie, during the conduct of the study., (Copyright ©ERS 2019.)

Published
2019
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172. Disentangling the genetics of lean mass.

Author

Karasik D, Zillikens MC, Hsu YH, Aghdassi A, Akesson K, Amin N, Barroso I, Bennett DA, Bertram L, Bochud M, Borecki IB, Broer L, Buchman AS, Byberg L, Campbell H, Campos-Obando N, Cauley JA, Cawthon PM, Chambers JC, Chen Z, Cho NH, Choi HJ, Chou WC, Cummings SR, de Groot LCPGM, De Jager PL, Demuth I, Diatchenko L, Econs MJ, Eiriksdottir G, Enneman AW, Eriksson J, Eriksson JG, Estrada K, Evans DS, Feitosa MF, Fu M, Gieger C, Grallert H, Gudnason V, Lenore LJ, Hayward C, Hofman A, Homuth G, Huffman KM, Husted LB, Illig T, Ingelsson E, Ittermann T, Jansson JO, Johnson T, Biffar R, Jordan JM, Jula A, Karlsson M, Khaw KT, Kilpeläinen TO, Klopp N, Kloth JSL, Koller DL, Kooner JS, Kraus WE, Kritchevsky S, Kutalik Z, Kuulasmaa T, Kuusisto J, Laakso M, Lahti J, Lang T, Langdahl BL, Lerch MM, Lewis JR, Lill C, Lind L, Lindgren C, Liu Y, Livshits G, Ljunggren Ö, Loos RJF, Lorentzon M, Luan J, Luben RN, Malkin I, McGuigan FE, Medina-Gomez C, Meitinger T, Melhus H, Mellström D, Michaëlsson K, Mitchell BD, Morris AP, Mosekilde L, Nethander M, Newman AB, O'Connell JR, Oostra BA, Orwoll ES, Palotie A, Peacock M, Perola M, Peters A, Prince RL, Psaty BM, Räikkönen K, Ralston SH, Ripatti S, Rivadeneira F, Robbins JA, Rotter JI, Rudan I, Salomaa V, Satterfield S, Schipf S, Shin CS, Smith AV, Smith SB, Soranzo N, Spector TD, Stancáková A, Stefansson K, Steinhagen-Thiessen E, Stolk L, Streeten EA, Styrkarsdottir U, Swart KMA, Thompson P, Thomson CA, Thorleifsson G, Thorsteinsdottir U, Tikkanen E, Tranah GJ, Uitterlinden AG, van Duijn CM, van Schoor NM, Vandenput L, Vollenweider P, Völzke H, Wactawski-Wende J, Walker M, J Wareham N, Waterworth D, Weedon MN, Wichmann HE, Widen E, Williams FMK, Wilson JF, Wright NC, Yerges-Armstrong LM, Yu L, Zhang W, Zhao JH, Zhou Y, Nielson CM, Harris TB, Demissie S, Kiel DP, and Ohlsson C

Subjects
ADAMTS Proteins genetics, Absorptiometry, Photon, Adolescent, Adult, Aged, Aged, 80 and over, Alpha-Ketoglutarate-Dependent Dioxygenase FTO genetics, Electric Impedance, Extracellular Matrix Proteins genetics, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, RNA-Binding Proteins genetics, Receptor, Melanocortin, Type 4 genetics, Versicans genetics, White People genetics, Young Adult, Adipose Tissue metabolism, Body Composition genetics, Body Fluid Compartments metabolism, Muscle, Skeletal metabolism, Phenotype, Polymorphism, Single Nucleotide
Abstract

Background: Lean body mass (LM) plays an important role in mobility and metabolic function. We previously identified five loci associated with LM adjusted for fat mass in kilograms. Such an adjustment may reduce the power to identify genetic signals having an association with both lean mass and fat mass., Objectives: To determine the impact of different fat mass adjustments on genetic architecture of LM and identify additional LM loci., Methods: We performed genome-wide association analyses for whole-body LM (20 cohorts of European ancestry with n = 38,292) measured using dual-energy X-ray absorptiometry) or bioelectrical impedance analysis, adjusted for sex, age, age2, and height with or without fat mass adjustments (Model 1 no fat adjustment; Model 2 adjustment for fat mass as a percentage of body mass; Model 3 adjustment for fat mass in kilograms)., Results: Seven single-nucleotide polymorphisms (SNPs) in separate loci, including one novel LM locus (TNRC6B), were successfully replicated in an additional 47,227 individuals from 29 cohorts. Based on the strengths of the associations in Model 1 vs Model 3, we divided the LM loci into those with an effect on both lean mass and fat mass in the same direction and refer to those as "sumo wrestler" loci (FTO and MC4R). In contrast, loci with an impact specifically on LM were termed "body builder" loci (VCAN and ADAMTSL3). Using existing available genome-wide association study databases, LM increasing alleles of SNPs in sumo wrestler loci were associated with an adverse metabolic profile, whereas LM increasing alleles of SNPs in "body builder" loci were associated with metabolic protection., Conclusions: In conclusion, we identified one novel LM locus (TNRC6B). Our results suggest that a genetically determined increase in lean mass might exert either harmful or protective effects on metabolic traits, depending on its relation to fat mass.

Published
2019
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173. Erratum: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.

Author

Zillikens MC, Demissie S, Hsu YH, Yerges-Armstrong LM, Chou WC, Stolk L, Livshits G, Broer L, Johnson T, Koller DL, Kutalik Z, Luan J, Malkin I, Ried JS, Smith AV, Thorleifsson G, Vandenput L, Hua Zhao J, Zhang W, Aghdassi A, Åkesson K, Amin N, Baier LJ, Barroso I, Bennett DA, Bertram L, Biffar R, Bochud M, Boehnke M, Borecki IB, Buchman AS, Byberg L, Campbell H, Campos Obanda N, Cauley JA, Cawthon PM, Cederberg H, Chen Z, Cho NH, Jin Choi H, Claussnitzer M, Collins F, Cummings SR, De Jager PL, Demuth I, Dhonukshe-Rutten RAM, Diatchenko L, Eiriksdottir G, Enneman AW, Erdos M, Eriksson JG, Eriksson J, Estrada K, Evans DS, Feitosa MF, Fu M, Garcia M, Gieger C, Girke T, Glazer NL, Grallert H, Grewal J, Han BG, Hanson RL, Hayward C, Hofman A, Hoffman EP, Homuth G, Hsueh WC, Hubal MJ, Hubbard A, Huffman KM, Husted LB, Illig T, Ingelsson E, Ittermann T, Jansson JO, Jordan JM, Jula A, Karlsson M, Khaw KT, Kilpeläinen TO, Klopp N, Kloth JSL, Koistinen HA, Kraus WE, Kritchevsky S, Kuulasmaa T, Kuusisto J, Laakso M, Lahti J, Lang T, Langdahl BL, Launer LJ, Lee JY, Lerch MM, Lewis JR, Lind L, Lindgren C, Liu Y, Liu T, Liu Y, Ljunggren Ö, Lorentzon M, Luben RN, Maixner W, McGuigan FE, Medina-Gomez C, Meitinger T, Melhus H, Mellström D, Melov S, Michaëlsson K, Mitchell BD, Morris AP, Mosekilde L, Newman A, Nielson CM, O'Connell JR, Oostra BA, Orwoll ES, Palotie A, Parker SCJ, Peacock M, Perola M, Peters A, Polasek O, Prince RL, Räikkönen K, Ralston SH, Ripatti S, Robbins JA, Rotter JI, Rudan I, Salomaa V, Satterfield S, Schadt EE, Schipf S, Scott L, Sehmi J, Shen J, Soo Shin C, Sigurdsson G, Smith S, Soranzo N, Stančáková A, Steinhagen-Thiessen E, Streeten EA, Styrkarsdottir U, Swart KMA, Tan ST, Tarnopolsky MA, Thompson P, Thomson CA, Thorsteinsdottir U, Tikkanen E, Tranah GJ, Tuomilehto J, van Schoor NM, Verma A, Vollenweider P, Völzke H, Wactawski-Wende J, Walker M, Weedon MN, Welch R, Wichmann HE, Widen E, Williams FMK, Wilson JF, Wright NC, Xie W, Yu L, Zhou Y, Chambers JC, Döring A, van Duijn CM, Econs MJ, Gudnason V, Kooner JS, Psaty BM, Spector TD, Stefansson K, Rivadeneira F, Uitterlinden AG, Wareham NJ, Ossowski V, Waterworth D, Loos RJF, Karasik D, Harris TB, Ohlsson C, and Kiel DP

Abstract

A correction to this article has been published and is linked from the HTML version of this article.

Published
2017
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174. Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.

Author

Zillikens MC, Demissie S, Hsu YH, Yerges-Armstrong LM, Chou WC, Stolk L, Livshits G, Broer L, Johnson T, Koller DL, Kutalik Z, Luan J, Malkin I, Ried JS, Smith AV, Thorleifsson G, Vandenput L, Hua Zhao J, Zhang W, Aghdassi A, Åkesson K, Amin N, Baier LJ, Barroso I, Bennett DA, Bertram L, Biffar R, Bochud M, Boehnke M, Borecki IB, Buchman AS, Byberg L, Campbell H, Campos Obanda N, Cauley JA, Cawthon PM, Cederberg H, Chen Z, Cho NH, Jin Choi H, Claussnitzer M, Collins F, Cummings SR, De Jager PL, Demuth I, Dhonukshe-Rutten RAM, Diatchenko L, Eiriksdottir G, Enneman AW, Erdos M, Eriksson JG, Eriksson J, Estrada K, Evans DS, Feitosa MF, Fu M, Garcia M, Gieger C, Girke T, Glazer NL, Grallert H, Grewal J, Han BG, Hanson RL, Hayward C, Hofman A, Hoffman EP, Homuth G, Hsueh WC, Hubal MJ, Hubbard A, Huffman KM, Husted LB, Illig T, Ingelsson E, Ittermann T, Jansson JO, Jordan JM, Jula A, Karlsson M, Khaw KT, Kilpeläinen TO, Klopp N, Kloth JSL, Koistinen HA, Kraus WE, Kritchevsky S, Kuulasmaa T, Kuusisto J, Laakso M, Lahti J, Lang T, Langdahl BL, Launer LJ, Lee JY, Lerch MM, Lewis JR, Lind L, Lindgren C, Liu Y, Liu T, Liu Y, Ljunggren Ö, Lorentzon M, Luben RN, Maixner W, McGuigan FE, Medina-Gomez C, Meitinger T, Melhus H, Mellström D, Melov S, Michaëlsson K, Mitchell BD, Morris AP, Mosekilde L, Newman A, Nielson CM, O'Connell JR, Oostra BA, Orwoll ES, Palotie A, Parker SCJ, Peacock M, Perola M, Peters A, Polasek O, Prince RL, Räikkönen K, Ralston SH, Ripatti S, Robbins JA, Rotter JI, Rudan I, Salomaa V, Satterfield S, Schadt EE, Schipf S, Scott L, Sehmi J, Shen J, Soo Shin C, Sigurdsson G, Smith S, Soranzo N, Stančáková A, Steinhagen-Thiessen E, Streeten EA, Styrkarsdottir U, Swart KMA, Tan ST, Tarnopolsky MA, Thompson P, Thomson CA, Thorsteinsdottir U, Tikkanen E, Tranah GJ, Tuomilehto J, van Schoor NM, Verma A, Vollenweider P, Völzke H, Wactawski-Wende J, Walker M, Weedon MN, Welch R, Wichmann HE, Widen E, Williams FMK, Wilson JF, Wright NC, Xie W, Yu L, Zhou Y, Chambers JC, Döring A, van Duijn CM, Econs MJ, Gudnason V, Kooner JS, Psaty BM, Spector TD, Stefansson K, Rivadeneira F, Uitterlinden AG, Wareham NJ, Ossowski V, Waterworth D, Loos RJF, Karasik D, Harris TB, Ohlsson C, and Kiel DP

Subjects
17-Hydroxysteroid Dehydrogenases genetics, ADAMTS Proteins genetics, Aldehyde Oxidoreductases genetics, Alpha-Ketoglutarate-Dependent Dioxygenase FTO genetics, Body Composition, Extracellular Matrix Proteins genetics, Humans, Insulin Receptor Substrate Proteins genetics, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Regulatory Elements, Transcriptional, Versicans genetics, Genome-Wide Association Study, Thinness genetics
Abstract

Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p < 5 × 10 -8 ) or suggestively genome wide (p < 2.3 × 10 -6 ). Replication in 63,475 (47,227 of European ancestry) individuals from 33 cohorts for whole body lean body mass and in 45,090 (42,360 of European ancestry) subjects from 25 cohorts for appendicular lean body mass was successful for five single-nucleotide polymorphisms in/near HSD17B11, VCAN, ADAMTSL3, IRS1, and FTO for total lean body mass and for three single-nucleotide polymorphisms in/near VCAN, ADAMTSL3, and IRS1 for appendicular lean body mass. Our findings provide new insight into the genetics of lean body mass.Lean body mass is a highly heritable trait and is associated with various health conditions. Here, Kiel and colleagues perform a meta-analysis of genome-wide association studies for whole body lean body mass and find five novel genetic loci to be significantly associated.

Published
2017
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175. Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk.

Author

Day FR, Thompson DJ, Helgason H, Chasman DI, Finucane H, Sulem P, Ruth KS, Whalen S, Sarkar AK, Albrecht E, Altmaier E, Amini M, Barbieri CM, Boutin T, Campbell A, Demerath E, Giri A, He C, Hottenga JJ, Karlsson R, Kolcic I, Loh PR, Lunetta KL, Mangino M, Marco B, McMahon G, Medland SE, Nolte IM, Noordam R, Nutile T, Paternoster L, Perjakova N, Porcu E, Rose LM, Schraut KE, Segrè AV, Smith AV, Stolk L, Teumer A, Andrulis IL, Bandinelli S, Beckmann MW, Benitez J, Bergmann S, Bochud M, Boerwinkle E, Bojesen SE, Bolla MK, Brand JS, Brauch H, Brenner H, Broer L, Brüning T, Buring JE, Campbell H, Catamo E, Chanock S, Chenevix-Trench G, Corre T, Couch FJ, Cousminer DL, Cox A, Crisponi L, Czene K, Davey Smith G, de Geus EJCN, de Mutsert R, De Vivo I, Dennis J, Devilee P, Dos-Santos-Silva I, Dunning AM, Eriksson JG, Fasching PA, Fernández-Rhodes L, Ferrucci L, Flesch-Janys D, Franke L, Gabrielson M, Gandin I, Giles GG, Grallert H, Gudbjartsson DF, Guénel P, Hall P, Hallberg E, Hamann U, Harris TB, Hartman CA, Heiss G, Hooning MJ, Hopper JL, Hu F, Hunter DJ, Ikram MA, Im HK, Järvelin MR, Joshi PK, Karasik D, Kellis M, Kutalik Z, LaChance G, Lambrechts D, Langenberg C, Launer LJ, Laven JSE, Lenarduzzi S, Li J, Lind PA, Lindstrom S, Liu Y, Luan J, Mägi R, Mannermaa A, Mbarek H, McCarthy MI, Meisinger C, Meitinger T, Menni C, Metspalu A, Michailidou K, Milani L, Milne RL, Montgomery GW, Mulligan AM, Nalls MA, Navarro P, Nevanlinna H, Nyholt DR, Oldehinkel AJ, O'Mara TA, Padmanabhan S, Palotie A, Pedersen N, Peters A, Peto J, Pharoah PDP, Pouta A, Radice P, Rahman I, Ring SM, Robino A, Rosendaal FR, Rudan I, Rueedi R, Ruggiero D, Sala CF, Schmidt MK, Scott RA, Shah M, Sorice R, Southey MC, Sovio U, Stampfer M, Steri M, Strauch K, Tanaka T, Tikkanen E, Timpson NJ, Traglia M, Truong T, Tyrer JP, Uitterlinden AG, Edwards DRV, Vitart V, Völker U, Vollenweider P, Wang Q, Widen E, van Dijk KW, Willemsen G, Winqvist R, Wolffenbuttel BHR, Zhao JH, Zoledziewska M, Zygmunt M, Alizadeh BZ, Boomsma DI, Ciullo M, Cucca F, Esko T, Franceschini N, Gieger C, Gudnason V, Hayward C, Kraft P, Lawlor DA, Magnusson PKE, Martin NG, Mook-Kanamori DO, Nohr EA, Polasek O, Porteous D, Price AL, Ridker PM, Snieder H, Spector TD, Stöckl D, Toniolo D, Ulivi S, Visser JA, Völzke H, Wareham NJ, Wilson JF, Spurdle AB, Thorsteindottir U, Pollard KS, Easton DF, Tung JY, Chang-Claude J, Hinds D, Murray A, Murabito JM, Stefansson K, Ong KK, and Perry JRB

Subjects
Adolescent, Age Factors, Body Mass Index, Calcium-Binding Proteins, Databases, Genetic, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genomic Imprinting, Humans, Male, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Factors, Ubiquitin-Protein Ligases, Intercellular Signaling Peptides and Proteins genetics, Membrane Proteins genetics, Menarche genetics, Neoplasms genetics, Puberty genetics, Ribonucleoproteins genetics
Abstract

The timing of puberty is a highly polygenic childhood trait that is epidemiologically associated with various adult diseases. Using 1000 Genomes Project-imputed genotype data in up to ∼370,000 women, we identify 389 independent signals (P < 5 × 10 -8 ) for age at menarche, a milestone in female pubertal development. In Icelandic data, these signals explain ∼7.4% of the population variance in age at menarche, corresponding to ∼25% of the estimated heritability. We implicate ∼250 genes via coding variation or associated expression, demonstrating significant enrichment in neural tissues. Rare variants near the imprinted genes MKRN3 and DLK1 were identified, exhibiting large effects when paternally inherited. Mendelian randomization analyses suggest causal inverse associations, independent of body mass index (BMI), between puberty timing and risks for breast and endometrial cancers in women and prostate cancer in men. In aggregate, our findings highlight the complexity of the genetic regulation of puberty timing and support causal links with cancer susceptibility.

Published
2017
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176. Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity.

Author

Wahl S, Drong A, Lehne B, Loh M, Scott WR, Kunze S, Tsai PC, Ried JS, Zhang W, Yang Y, Tan S, Fiorito G, Franke L, Guarrera S, Kasela S, Kriebel J, Richmond RC, Adamo M, Afzal U, Ala-Korpela M, Albetti B, Ammerpohl O, Apperley JF, Beekman M, Bertazzi PA, Black SL, Blancher C, Bonder MJ, Brosch M, Carstensen-Kirberg M, de Craen AJ, de Lusignan S, Dehghan A, Elkalaawy M, Fischer K, Franco OH, Gaunt TR, Hampe J, Hashemi M, Isaacs A, Jenkinson A, Jha S, Kato N, Krogh V, Laffan M, Meisinger C, Meitinger T, Mok ZY, Motta V, Ng HK, Nikolakopoulou Z, Nteliopoulos G, Panico S, Pervjakova N, Prokisch H, Rathmann W, Roden M, Rota F, Rozario MA, Sandling JK, Schafmayer C, Schramm K, Siebert R, Slagboom PE, Soininen P, Stolk L, Strauch K, Tai ES, Tarantini L, Thorand B, Tigchelaar EF, Tumino R, Uitterlinden AG, van Duijn C, van Meurs JB, Vineis P, Wickremasinghe AR, Wijmenga C, Yang TP, Yuan W, Zhernakova A, Batterham RL, Smith GD, Deloukas P, Heijmans BT, Herder C, Hofman A, Lindgren CM, Milani L, van der Harst P, Peters A, Illig T, Relton CL, Waldenberger M, Järvelin MR, Bollati V, Soong R, Spector TD, Scott J, McCarthy MI, Elliott P, Bell JT, Matullo G, Gieger C, Kooner JS, Grallert H, and Chambers JC

Subjects
Adipose Tissue metabolism, Asian People genetics, Blood metabolism, Cohort Studies, Diabetes Mellitus, Type 2 complications, Europe ethnology, Female, Genetic Markers, Genetic Predisposition to Disease, Humans, India ethnology, Male, Obesity blood, Obesity complications, Overweight blood, Overweight complications, Overweight genetics, White People genetics, Adiposity genetics, Body Mass Index, DNA Methylation genetics, Diabetes Mellitus, Type 2 genetics, Epigenesis, Genetic, Epigenomics, Genome-Wide Association Study, Obesity genetics
Abstract

Approximately 1.5 billion people worldwide are overweight or affected by obesity, and are at risk of developing type 2 diabetes, cardiovascular disease and related metabolic and inflammatory disturbances. Although the mechanisms linking adiposity to associated clinical conditions are poorly understood, recent studies suggest that adiposity may influence DNA methylation, a key regulator of gene expression and molecular phenotype. Here we use epigenome-wide association to show that body mass index (BMI; a key measure of adiposity) is associated with widespread changes in DNA methylation (187 genetic loci with P < 1 × 10 -7 , range P = 9.2 × 10 -8 to 6.0 × 10 -46 ; n = 10,261 samples). Genetic association analyses demonstrate that the alterations in DNA methylation are predominantly the consequence of adiposity, rather than the cause. We find that methylation loci are enriched for functional genomic features in multiple tissues (P < 0.05), and show that sentinel methylation markers identify gene expression signatures at 38 loci (P < 9.0 × 10 -6 , range P = 5.5 × 10 -6 to 6.1 × 10 -35 , n = 1,785 samples). The methylation loci identify genes involved in lipid and lipoprotein metabolism, substrate transport and inflammatory pathways. Finally, we show that the disturbances in DNA methylation predict future development of type 2 diabetes (relative risk per 1 standard deviation increase in methylation risk score: 2.3 (2.07-2.56); P = 1.1 × 10 -54 ). Our results provide new insights into the biologic pathways influenced by adiposity, and may enable development of new strategies for prediction and prevention of type 2 diabetes and other adverse clinical consequences of obesity.

Published
2017
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177. Genome-wide analysis identifies 12 loci influencing human reproductive behavior.

Author

Barban N, Jansen R, de Vlaming R, Vaez A, Mandemakers JJ, Tropf FC, Shen X, Wilson JF, Chasman DI, Nolte IM, Tragante V, van der Laan SW, Perry JR, Kong A, Ahluwalia TS, Albrecht E, Yerges-Armstrong L, Atzmon G, Auro K, Ayers K, Bakshi A, Ben-Avraham D, Berger K, Bergman A, Bertram L, Bielak LF, Bjornsdottir G, Bonder MJ, Broer L, Bui M, Barbieri C, Cavadino A, Chavarro JE, Turman C, Concas MP, Cordell HJ, Davies G, Eibich P, Eriksson N, Esko T, Eriksson J, Falahi F, Felix JF, Fontana MA, Franke L, Gandin I, Gaskins AJ, Gieger C, Gunderson EP, Guo X, Hayward C, He C, Hofer E, Huang H, Joshi PK, Kanoni S, Karlsson R, Kiechl S, Kifley A, Kluttig A, Kraft P, Lagou V, Lecoeur C, Lahti J, Li-Gao R, Lind PA, Liu T, Makalic E, Mamasoula C, Matteson L, Mbarek H, McArdle PF, McMahon G, Meddens SF, Mihailov E, Miller M, Missmer SA, Monnereau C, van der Most PJ, Myhre R, Nalls MA, Nutile T, Kalafati IP, Porcu E, Prokopenko I, Rajan KB, Rich-Edwards J, Rietveld CA, Robino A, Rose LM, Rueedi R, Ryan KA, Saba Y, Schmidt D, Smith JA, Stolk L, Streeten E, Tönjes A, Thorleifsson G, Ulivi S, Wedenoja J, Wellmann J, Willeit P, Yao J, Yengo L, Zhao JH, Zhao W, Zhernakova DV, Amin N, Andrews H, Balkau B, Barzilai N, Bergmann S, Biino G, Bisgaard H, Bønnelykke K, Boomsma DI, Buring JE, Campbell H, Cappellani S, Ciullo M, Cox SR, Cucca F, Toniolo D, Davey-Smith G, Deary IJ, Dedoussis G, Deloukas P, van Duijn CM, de Geus EJ, Eriksson JG, Evans DA, Faul JD, Sala CF, Froguel P, Gasparini P, Girotto G, Grabe HJ, Greiser KH, Groenen PJ, de Haan HG, Haerting J, Harris TB, Heath AC, Heikkilä K, Hofman A, Homuth G, Holliday EG, Hopper J, Hyppönen E, Jacobsson B, Jaddoe VW, Johannesson M, Jugessur A, Kähönen M, Kajantie E, Kardia SL, Keavney B, Kolcic I, Koponen P, Kovacs P, Kronenberg F, Kutalik Z, La Bianca M, Lachance G, Iacono WG, Lai S, Lehtimäki T, Liewald DC, Lindgren CM, Liu Y, Luben R, Lucht M, Luoto R, Magnus P, Magnusson PK, Martin NG, McGue M, McQuillan R, Medland SE, Meisinger C, Mellström D, Metspalu A, Traglia M, Milani L, Mitchell P, Montgomery GW, Mook-Kanamori D, de Mutsert R, Nohr EA, Ohlsson C, Olsen J, Ong KK, Paternoster L, Pattie A, Penninx BW, Perola M, Peyser PA, Pirastu M, Polasek O, Power C, Kaprio J, Raffel LJ, Räikkönen K, Raitakari O, Ridker PM, Ring SM, Roll K, Rudan I, Ruggiero D, Rujescu D, Salomaa V, Schlessinger D, Schmidt H, Schmidt R, Schupf N, Smit J, Sorice R, Spector TD, Starr JM, Stöckl D, Strauch K, Stumvoll M, Swertz MA, Thorsteinsdottir U, Thurik AR, Timpson NJ, Tung JY, Uitterlinden AG, Vaccargiu S, Viikari J, Vitart V, Völzke H, Vollenweider P, Vuckovic D, Waage J, Wagner GG, Wang JJ, Wareham NJ, Weir DR, Willemsen G, Willeit J, Wright AF, Zondervan KT, Stefansson K, Krueger RF, Lee JJ, Benjamin DJ, Cesarini D, Koellinger PD, den Hoed M, Snieder H, and Mills MC

Subjects
Female, Fertility genetics, Humans, Maternal Age, Phenotype, Polymorphism, Single Nucleotide genetics, Pregnancy, Birth Order, Genome-Wide Association Study, Parity genetics, Quantitative Trait Loci, Reproduction genetics, Reproductive Behavior physiology
Abstract

The genetic architecture of human reproductive behavior-age at first birth (AFB) and number of children ever born (NEB)-has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders. However, very few genetic loci have been identified, and the underlying mechanisms of AFB and NEB are poorly understood. We report a large genome-wide association study of both sexes including 251,151 individuals for AFB and 343,072 individuals for NEB. We identified 12 independent loci that are significantly associated with AFB and/or NEB in a SNP-based genome-wide association study and 4 additional loci associated in a gene-based effort. These loci harbor genes that are likely to have a role, either directly or by affecting non-local gene expression, in human reproduction and infertility, thereby increasing understanding of these complex traits.

Published
2016
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178. Lower sex hormone levels are associated with more chronic musculoskeletal pain in community-dwelling elderly women.

Author

de Kruijf M, Stolk L, Zillikens MC, de Rijke YB, Bierma-Zeinstra SMA, Hofman A, Huygen FJPM, Uitterlinden AG, and van Meurs JBJ

Subjects
Aged, Chronic Pain epidemiology, Female, Humans, Incidence, Life Style, Middle Aged, Musculoskeletal Pain epidemiology, Prevalence, 17-alpha-Hydroxyprogesterone blood, Androstenedione blood, Chronic Pain blood, Estrogens blood, Musculoskeletal Pain blood, Testosterone blood
Abstract

Chronic pain is more prevalent in women than in men, with increasing differences between sexes in advanced age. This could be caused by differences in sex hormone levels. We therefore studied the relationship between sex hormones and the prevalence and incidence of chronic pain. The association between sex hormone levels and chronic pain was examined in 9717 participants aged 45 years and older from the Rotterdam Study, a population-based study. Chronic pain was defined as pain in the lower back, hands, knees and/or hips for at least 3 months. Sex hormone levels included estrogen, testosterone, androstenedione, and 17-hydroxyprogesterone. Relationships between hormones and prevalent and new onset chronic pain were analyzed using linear and logistic regression, stratified by gender. Women with androstenedione or estradiol levels in the lowest tertile had more chronic pain (odds ratio, 1.20; 95% CI, 1.03-1.39 and odds ratio, 1.27; 95% CI, 1.10-1.48, respectively). Mean estradiol levels were lower among men with chronic pain (mean difference -3.88 pmol/L; P = 0.005). Lowest tertile 17-hydroxyprogesterone in women was associated with 38% more new onset pain. All these associations were independent from age, body mass index, health and lifestyle factors, and osteoarthritis. Lower sex hormone levels are associated with chronic musculoskeletal pain, independent from lifestyle and health-related factors, in community-dwelling elderly women. These results suggest that sex hormones play a role in chronic pain and should be taken into account when a patient presents with chronic pain. Therefore, sex hormones may be a potential treatment target for these patients.

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

Author

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

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

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

Published
2015
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180. Genetic studies of body mass index yield new insights for obesity biology.

Author

Locke AE, Kahali B, Berndt SI, Justice AE, Pers TH, Day FR, Powell C, Vedantam S, Buchkovich ML, Yang J, Croteau-Chonka DC, Esko T, Fall T, Ferreira T, Gustafsson S, Kutalik Z, Luan J, Mägi R, Randall JC, Winkler TW, Wood AR, Workalemahu T, Faul JD, Smith JA, Zhao JH, Zhao W, Chen J, Fehrmann R, Hedman ÅK, Karjalainen J, Schmidt EM, Absher D, Amin N, Anderson D, Beekman M, Bolton JL, Bragg-Gresham JL, Buyske S, Demirkan A, Deng G, Ehret GB, Feenstra B, Feitosa MF, Fischer K, Goel A, Gong J, Jackson AU, Kanoni S, Kleber ME, Kristiansson K, Lim U, Lotay V, Mangino M, Leach IM, Medina-Gomez C, Medland SE, Nalls MA, Palmer CD, Pasko D, Pechlivanis S, Peters MJ, Prokopenko I, Shungin D, Stančáková 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, Isaacs A, Albrecht E, Ärnlöv J, Arscott GM, Attwood AP, Bandinelli S, Barrett A, Bas IN, Bellis C, Bennett AJ, Berne C, Blagieva R, Blüher M, Böhringer S, Bonnycastle LL, Böttcher Y, Boyd HA, Bruinenberg M, Caspersen IH, Chen YI, Clarke R, Daw EW, de Craen AJM, Delgado G, Dimitriou M, Doney ASF, Eklund N, Estrada K, Eury E, Folkersen L, Fraser RM, Garcia ME, Geller F, Giedraitis V, Gigante B, Go AS, Golay A, Goodall AH, Gordon SD, Gorski M, Grabe HJ, Grallert H, Grammer TB, Gräßler J, Grönberg H, Groves CJ, Gusto G, Haessler J, Hall P, Haller T, Hallmans G, Hartman CA, Hassinen M, Hayward C, Heard-Costa NL, Helmer Q, Hengstenberg C, Holmen O, Hottenga JJ, James AL, Jeff JM, Johansson Å, Jolley J, Juliusdottir T, Kinnunen L, Koenig W, Koskenvuo M, Kratzer W, Laitinen J, Lamina C, Leander K, Lee NR, Lichtner P, Lind L, Lindström J, Lo KS, Lobbens S, Lorbeer R, Lu Y, Mach F, Magnusson PKE, Mahajan A, McArdle WL, McLachlan S, Menni C, Merger S, Mihailov E, Milani L, Moayyeri A, Monda KL, Morken MA, Mulas A, Müller G, Müller-Nurasyid M, Musk AW, Nagaraja R, Nöthen MM, Nolte IM, Pilz S, Rayner NW, Renstrom F, Rettig R, Ried JS, Ripke S, Robertson NR, Rose LM, Sanna S, Scharnagl H, Scholtens S, Schumacher FR, Scott WR, Seufferlein T, Shi J, Smith AV, Smolonska J, Stanton AV, Steinthorsdottir V, Stirrups K, Stringham HM, Sundström J, Swertz MA, Swift AJ, Syvänen AC, Tan ST, Tayo BO, Thorand B, Thorleifsson G, Tyrer JP, Uh HW, Vandenput L, Verhulst FC, Vermeulen SH, Verweij N, Vonk JM, Waite LL, Warren HR, Waterworth D, Weedon MN, Wilkens LR, Willenborg C, Wilsgaard T, Wojczynski MK, Wong A, Wright AF, Zhang Q, Brennan EP, Choi M, Dastani Z, Drong AW, Eriksson P, Franco-Cereceda A, Gådin JR, Gharavi AG, Goddard ME, Handsaker RE, Huang J, Karpe F, Kathiresan S, Keildson S, Kiryluk K, Kubo M, Lee JY, Liang L, Lifton RP, Ma B, McCarroll SA, McKnight AJ, Min JL, Moffatt MF, Montgomery GW, Murabito JM, Nicholson G, Nyholt DR, Okada Y, Perry JRB, Dorajoo R, Reinmaa E, Salem RM, Sandholm N, Scott RA, Stolk L, Takahashi A, Tanaka T, van 't Hooft FM, Vinkhuyzen AAE, Westra HJ, Zheng W, Zondervan KT, Heath AC, Arveiler D, Bakker SJL, Beilby J, Bergman RN, Blangero J, Bovet P, Campbell H, Caulfield MJ, Cesana G, Chakravarti A, Chasman DI, Chines PS, Collins FS, Crawford DC, Cupples LA, Cusi D, Danesh J, de Faire U, den Ruijter HM, Dominiczak AF, Erbel R, Erdmann J, Eriksson JG, Farrall M, Felix SB, Ferrannini E, Ferrières J, Ford I, Forouhi NG, Forrester T, Franco OH, Gansevoort RT, Gejman PV, Gieger C, Gottesman O, Gudnason V, Gyllensten U, Hall AS, Harris TB, Hattersley AT, Hicks AA, Hindorff LA, Hingorani AD, Hofman A, Homuth G, Hovingh GK, Humphries SE, Hunt SC, Hyppönen E, Illig T, Jacobs KB, Jarvelin MR, Jöckel KH, Johansen B, Jousilahti P, Jukema JW, Jula AM, Kaprio J, Kastelein JJP, Keinanen-Kiukaanniemi SM, Kiemeney LA, Knekt P, Kooner JS, Kooperberg C, Kovacs P, Kraja AT, Kumari M, Kuusisto J, Lakka TA, Langenberg C, Marchand LL, Lehtimäki T, Lyssenko V, Männistö S, Marette A, Matise TC, McKenzie CA, McKnight B, Moll FL, Morris AD, Morris AP, Murray JC, Nelis M, Ohlsson C, Oldehinkel AJ, Ong KK, Madden PAF, Pasterkamp G, Peden JF, Peters A, Postma DS, Pramstaller PP, Price JF, Qi L, Raitakari OT, Rankinen T, Rao DC, Rice TK, Ridker PM, Rioux JD, Ritchie MD, Rudan I, Salomaa V, Samani NJ, Saramies J, Sarzynski MA, Schunkert H, Schwarz PEH, Sever P, Shuldiner AR, Sinisalo J, Stolk RP, Strauch K, Tönjes A, Trégouët DA, Tremblay A, Tremoli E, Virtamo J, Vohl MC, Völker U, Waeber G, Willemsen G, Witteman JC, Zillikens MC, Adair LS, Amouyel P, Asselbergs FW, Assimes TL, Bochud M, Boehm BO, Boerwinkle E, Bornstein SR, Bottinger EP, Bouchard C, Cauchi S, Chambers JC, Chanock SJ, Cooper RS, de Bakker PIW, Dedoussis G, Ferrucci L, Franks PW, Froguel P, Groop LC, Haiman CA, Hamsten A, Hui J, Hunter DJ, Hveem K, Kaplan RC, Kivimaki M, Kuh D, Laakso M, Liu Y, Martin NG, März W, Melbye M, Metspalu A, Moebus S, Munroe PB, Njølstad I, Oostra BA, Palmer CNA, Pedersen NL, Perola M, Pérusse L, Peters U, Power C, Quertermous T, Rauramaa R, Rivadeneira F, Saaristo TE, Saleheen D, Sattar N, Schadt EE, Schlessinger D, Slagboom PE, Snieder H, Spector TD, Thorsteinsdottir U, Stumvoll M, Tuomilehto J, Uitterlinden AG, Uusitupa M, van der Harst P, Walker M, Wallaschofski H, Wareham NJ, Watkins H, Weir DR, Wichmann HE, Wilson JF, Zanen P, Borecki IB, Deloukas P, Fox CS, Heid IM, O'Connell JR, Strachan DP, Stefansson K, van Duijn CM, Abecasis GR, Franke L, Frayling TM, McCarthy MI, Visscher PM, Scherag A, Willer CJ, Boehnke M, Mohlke KL, Lindgren CM, Beckmann JS, Barroso I, North KE, Ingelsson E, Hirschhorn JN, Loos RJF, and Speliotes EK

Subjects
Adipogenesis genetics, Adiposity genetics, Age Factors, Energy Metabolism genetics, Europe ethnology, Female, Genetic Predisposition to Disease genetics, Glutamic Acid metabolism, Humans, Insulin metabolism, Insulin Secretion, Male, Polymorphism, Single Nucleotide genetics, Quantitative Trait Loci genetics, Racial Groups genetics, Synapses metabolism, Body Mass Index, Genome-Wide Association Study, Obesity genetics, Obesity metabolism
Abstract

Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 × 10(-8)), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for ∼2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.

Published
2015
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181. 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, Hallmans G, Hartman CA, Hassinen M, Hayward C, Heikkilä K, Herzig KH, Helmer Q, Hillege HL, Holmen O, Hunt SC, Isaacs A, Ittermann T, James AL, Johansson I, Juliusdottir T, Kalafati IP, Kinnunen L, Koenig W, Kooner IK, Kratzer W, Lamina C, Leander K, Lee NR, Lichtner P, Lind L, Lindström J, Lobbens S, Lorentzon M, Mach F, Magnusson PK, Mahajan A, McArdle WL, Menni C, Merger S, Mihailov E, Milani L, Mills R, Moayyeri A, Monda KL, Mooijaart SP, Mühleisen TW, Mulas A, Müller G, Müller-Nurasyid M, Nagaraja R, Nalls MA, Narisu N, Glorioso N, Nolte IM, Olden M, Rayner NW, Renstrom F, Ried JS, Robertson NR, Rose LM, Sanna S, Scharnagl H, Scholtens S, Sennblad B, Seufferlein T, Sitlani CM, Smith AV, Stirrups K, Stringham HM, Sundström J, Swertz MA, Swift AJ, Syvänen AC, Tayo BO, Thorand B, Thorleifsson G, Tomaschitz A, Troffa C, van Oort FV, Verweij N, Vonk JM, Waite LL, Wennauer R, Wilsgaard T, Wojczynski MK, Wong A, Zhang Q, Zhao JH, Brennan EP, Choi M, Eriksson P, Folkersen L, Franco-Cereceda A, Gharavi AG, Hedman ÅK, Hivert MF, Huang J, Kanoni S, Karpe F, Keildson S, Kiryluk K, Liang L, Lifton RP, Ma B, McKnight AJ, McPherson R, Metspalu A, Min JL, Moffatt MF, Montgomery GW, Murabito JM, Nicholson G, Nyholt DR, Olsson C, Perry JR, Reinmaa E, Salem RM, Sandholm N, Schadt EE, Scott RA, Stolk L, Vallejo EE, Westra HJ, Zondervan KT, Amouyel P, Arveiler D, Bakker SJ, Beilby J, Bergman RN, Blangero J, Brown MJ, Burnier M, Campbell H, Chakravarti A, Chines PS, Claudi-Boehm S, Collins FS, Crawford DC, Danesh J, de Faire U, de Geus EJ, Dörr M, Erbel R, Eriksson JG, Farrall M, Ferrannini E, Ferrières J, Forouhi NG, Forrester T, Franco OH, Gansevoort RT, Gieger C, Gudnason V, Haiman CA, Harris TB, Hattersley AT, Heliövaara M, Hicks AA, Hingorani AD, Hoffmann W, Hofman A, Homuth G, Humphries SE, Hyppönen E, Illig T, Jarvelin MR, Johansen B, Jousilahti P, Jula AM, Kaprio J, Kee F, Keinanen-Kiukaanniemi SM, Kooner JS, Kooperberg C, Kovacs P, Kraja AT, Kumari M, Kuulasmaa K, Kuusisto J, Lakka TA, Langenberg C, Le Marchand L, Lehtimäki T, Lyssenko V, Männistö S, Marette A, Matise TC, McKenzie CA, McKnight B, Musk AW, Möhlenkamp S, Morris AD, Nelis M, Ohlsson C, Oldehinkel AJ, Ong KK, Palmer LJ, Penninx BW, Peters A, Pramstaller PP, Raitakari OT, Rankinen T, Rao DC, Rice TK, Ridker PM, Ritchie MD, Rudan I, Salomaa V, Samani NJ, Saramies J, Sarzynski MA, Schwarz PE, Shuldiner AR, Staessen JA, Steinthorsdottir V, Stolk RP, Strauch K, Tönjes A, Tremblay A, Tremoli E, Vohl MC, Völker U, Vollenweider P, Wilson JF, Witteman JC, Adair LS, Bochud M, Boehm BO, Bornstein SR, Bouchard C, Cauchi S, Caulfield MJ, Chambers JC, Chasman DI, Cooper RS, Dedoussis G, Ferrucci L, Froguel P, Grabe HJ, Hamsten A, Hui J, Hveem K, Jöckel KH, Kivimaki M, Kuh D, Laakso M, Liu Y, März W, Munroe PB, Njølstad I, Oostra BA, Palmer CN, Pedersen NL, Perola M, Pérusse L, Peters U, Power C, Quertermous T, Rauramaa R, Rivadeneira F, Saaristo TE, Saleheen D, Sinisalo J, Slagboom PE, Snieder H, Spector TD, Stefansson K, Stumvoll M, Tuomilehto J, Uitterlinden AG, Uusitupa M, van der Harst P, Veronesi G, Walker M, Wareham NJ, Watkins H, Wichmann HE, Abecasis GR, Assimes TL, Berndt SI, Boehnke M, Borecki IB, Deloukas P, Franke L, Frayling TM, Groop LC, Hunter DJ, Kaplan RC, O'Connell JR, Qi L, Schlessinger D, Strachan DP, Thorsteinsdottir U, van Duijn CM, Willer CJ, Visscher PM, Yang J, Hirschhorn JN, Zillikens MC, McCarthy MI, Speliotes EK, North KE, Fox CS, Barroso I, Franks PW, Ingelsson E, Heid IM, Loos RJ, Cupples LA, Morris AP, Lindgren CM, and Mohlke KL

Subjects
Adipocytes metabolism, Adipogenesis genetics, Age Factors, Body Mass Index, Epigenesis, Genetic, Europe ethnology, Female, Genome, Human genetics, Humans, Insulin Resistance genetics, Male, Models, Biological, Neovascularization, Physiologic genetics, Obesity genetics, Polymorphism, Single Nucleotide genetics, Racial Groups genetics, Sex Characteristics, Transcription, Genetic genetics, Waist-Hip Ratio, Adipose Tissue metabolism, Body Fat Distribution, Genome-Wide Association Study, Insulin metabolism, Quantitative Trait Loci genetics
Abstract

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, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms.

Published
2015
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182. Genome-wide association study for radiographic vertebral fractures: a potential role for the 16q24 BMD locus.

Author

Oei L, Estrada K, Duncan EL, Christiansen C, Liu CT, Langdahl BL, Obermayer-Pietsch B, Riancho JA, Prince RL, van Schoor NM, McCloskey E, Hsu YH, Evangelou E, Ntzani E, Evans DM, Alonso N, Husted LB, Valero C, Hernandez JL, Lewis JR, Kaptoge SK, Zhu K, Cupples LA, Medina-Gómez C, Vandenput L, Kim GS, Hun Lee S, Castaño-Betancourt MC, Oei EH, Martinez J, Daroszewska A, van der Klift M, Mellström D, Herrera L, Karlsson MK, Hofman A, Ljunggren Ö, Pols HA, Stolk L, van Meurs JB, Ioannidis JP, Zillikens MC, Lips P, Karasik D, Uitterlinden AG, Styrkarsdottir U, Brown MA, Koh JM, Richards JB, Reeve J, Ohlsson C, Ralston SH, Kiel DP, and Rivadeneira F

Subjects
Aged, Female, Humans, Male, Netherlands, Polymorphism, Single Nucleotide genetics, Radiography, Reproducibility of Results, Bone Density genetics, Chromosomes, Human, Pair 16 genetics, Genetic Loci genetics, Genome-Wide Association Study, Spinal Fractures diagnostic imaging, Spinal Fractures genetics
Abstract

Vertebral fracture risk is a heritable complex trait. The aim of this study was to identify genetic susceptibility factors for osteoporotic vertebral fractures applying a genome-wide association study (GWAS) approach. The GWAS discovery was based on the Rotterdam Study, a population-based study of elderly Dutch individuals aged > 55 years; and comprising 329 cases and 2666 controls with radiographic scoring (McCloskey–Kanis) and genetic data. Replication of one top-associated SNP was pursued by de-novo genotyping of 15 independent studies across Europe, the United States, and Australia and one Asian study. Radiographic vertebral fracture assessment was performed using McCloskey–Kanis or Genant semi-quantitative definitions. SNPs were analyzed in relation to vertebral fracture using logistic regression models corrected for age and sex. Fixed effects inverse variance and Han–Eskin alternative random effects meta-analyses were applied. Genome-wide significance was set at p < 5 × 10− 8. In the discovery, a SNP (rs11645938) on chromosome 16q24 was associated with the risk for vertebral fractures at p = 4.6 × 10− 8. However, the association was not significant across 5720 cases and 21,791 controls from 14 studies. Fixed-effects meta-analysis summary estimate was 1.06 (95% CI: 0.98–1.14; p = 0.17), displaying high degree of heterogeneity (I2 = 57%; Qhet p = 0.0006). Under Han–Eskin alternative random effects model the summary effect was significant (p = 0.0005). The SNP maps to a region previously found associated with lumbar spine bone mineral density (LS-BMD) in two large meta-analyses from the GEFOS consortium. A false positive association in the GWAS discovery cannot be excluded, yet, the low-powered setting of the discovery and replication settings (appropriate to identify risk effect size > 1.25) may still be consistent with an effect size < 1.10, more of the type expected in complex traits. Larger effort in studies with standardized phenotype definitions is needed to confirm or reject the involvement of this locus on the risk for vertebral fractures.

Published
2014

183. Cross-ethnic meta-analysis of genetic variants for polycystic ovary syndrome.

Author

Louwers YV, Stolk L, Uitterlinden AG, and Laven JS

Subjects
Adaptor Proteins, Signal Transducing metabolism, Alleles, China, Female, Gene Frequency, Genetic Association Studies, Genetic Loci, Genetic Predisposition to Disease, Humans, Netherlands, Oxidoreductases Acting on Sulfur Group Donors metabolism, Phosphoproteins metabolism, Polycystic Ovary Syndrome ethnology, Polycystic Ovary Syndrome metabolism, Polycystic Ovary Syndrome physiopathology, Transcription Factors, United States, YAP-Signaling Proteins, rab5 GTP-Binding Proteins metabolism, Adaptor Proteins, Signal Transducing genetics, Oxidoreductases Acting on Sulfur Group Donors genetics, Phosphoproteins genetics, Polycystic Ovary Syndrome genetics, Polymorphism, Single Nucleotide, rab5 GTP-Binding Proteins genetics
Abstract

Context: Genome-wide association studies (GWAS) have revealed new susceptibility loci for Chinese patients with polycystic ovary syndrome (PCOS). Because ethnic background adds to phenotypic diversities in PCOS, it seems plausible that genetic variants associated with PCOS act differently in various ethnic populations., Objective: We studied cross-ethnic effects of Chinese PCOS loci (ie, LHCGR, THADA, DENND1A, FSHR, c9orf3, YAP1, RAB5B/SUOX, HMGA2, TOX3, INSR, SUMO1P1) in patients of Northern European descent., Design: This study was a genetic association study conducted at an University Medical Center., Patients: Association was studied in 703 Dutch PCOS patients and 2164 Dutch controls. To assess the cross-ethnic effect, we performed a meta-analysis of the Dutch data combined with results of previously published studies in PCOS patients from China (n = 2254) and the United States (n = 2618). Adjusted for multiple testing, a P value <3.1 × 10⁻³ was considered statistically significant., Results: Meta-analysis of the Chinese, US, and Dutch data resulted in 12 significant variants mapping to the YAP1 (P value = 1.0 × 10⁻⁹), RAB5B/SUOX (P value = 3.8 × 10⁻¹¹), LHCGR (P value = 4.1 × 10⁻⁴), THADA (P value = 2.2 × 10⁻⁴ and P value = 1.3 × 10⁻³), DENND1A (P value = 2.3 × 10⁻³ and P value = 2.5 × 10⁻³), FSHR (P value = 3.8 × 10⁻⁵ and P value = 3.6 × 10⁻⁴), c9orf3 (P value = 2.0 × 10⁻⁶ and P value = 9.2 × 10⁻⁶), SUMO1P1 (P value = 2.3 × 10⁻³) loci with odds ratios ranging from 1.19 to 1.45 and 0.79 to 0.87., Conclusions: Overall, we observed for 12 of 17 genetic variants mapping to the Chinese PCOS loci similar effect size and identical direction in PCOS patients from Northern European ancestry, indicating a common genetic risk profile for PCOS across populations. Therefore, it is expected that large GWAS in PCOS patients from Northern European ancestry will partly identify similar loci as the GWAS in Chinese PCOS patients.

Published
2013
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184. Variants in SULT2A1 affect the DHEA sulphate to DHEA ratio in patients with polycystic ovary syndrome but not the hyperandrogenic phenotype.

Author

Louwers YV, de Jong FH, van Herwaarden NA, Stolk L, Fauser BC, Uitterlinden AG, and Laven JS

Subjects
Adult, Alleles, Female, Genotype, Humans, Hyperandrogenism blood, Hyperandrogenism genetics, Multienzyme Complexes genetics, Polycystic Ovary Syndrome blood, Polymorphism, Single Nucleotide, Steryl-Sulfatase genetics, Sulfate Adenylyltransferase genetics, Dehydroepiandrosterone blood, Dehydroepiandrosterone Sulfate blood, Genetic Predisposition to Disease, Polycystic Ovary Syndrome genetics, Sulfotransferases genetics
Abstract

Context: Because of the elevated dehydroepiandrosterone sulfate (DHEAS) levels in polycystic ovary syndrome (PCOS) and the heritability of DHEAS serum levels, genes encoding the enzymes that control the sulfation of dehydroepiandrosterone (DHEA) to DHEAS and vice versa are obvious candidate genes to explain part of the heritability of PCOS., Objective: The objective of the study was to determine the role of genetic variants in sulfotransferase (SULT2A1), 3-phosphoadenosine 5-phosphosulfate synthase isoform 2 (PAPSS2), and steroid sulfatase (STS) in PCOS and in hormone levels related to the hyperandrogenic phenotype of PCOS., Design: This was a candidate-gene study., Patients: The discovery set consisted of 582 patients and 2017 controls., Main Outcome Measures: A pruned subset of 28 single-nucleotide polymorphisms (SNPs) in SULT2A1, PAPSS2, and STS was generated based on pairwise genotypic correlation. Association with PCOS was tested, and we studied whether the SNPs modulate DHEAS levels, DHEA levels, and their ratio in PCOS. Significant SNPs were replicated in an independent sample of patients., Results: None of the SNPs in SULT2A1, PAPSS2, and STS constituted risk alleles for PCOS. SNP rs2910397 in SULT2A1 decreased the DHEAS to DHEA ratio in PCOS by 5% in the discovery sample. Meta-analysis of discovery and replication sample resulted in a combined effect of -0.095 (P = .027). However, carrying the minor T allele did not contribute to differences in the hyperandrogenic phenotype, including the levels of T and androstenedione, of PCOS patients., Conclusions: Genetic variants in SULT2A1, PAPSS2, and STS do not predispose to PCOS. Although a variant in SULT2A1 decreased the DHEAS to DHEA ratio, no changes in other androgenic hormone levels were observed.

Published
2013
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185. Association of adiposity genetic variants with menarche timing in 92,105 women of European descent.

Author

Fernández-Rhodes L, Demerath EW, Cousminer DL, Tao R, Dreyfus JG, Esko T, Smith AV, Gudnason V, Harris TB, Launer L, McArdle PF, Yerges-Armstrong LM, Elks CE, Strachan DP, Kutalik Z, Vollenweider P, Feenstra B, Boyd HA, Metspalu A, Mihailov E, Broer L, Zillikens MC, Oostra B, van Duijn CM, Lunetta KL, Perry JR, Murray A, Koller DL, Lai D, Corre T, Toniolo D, Albrecht E, Stöckl D, Grallert H, Gieger C, Hayward C, Polasek O, Rudan I, Wilson JF, He C, Kraft P, Hu FB, Hunter DJ, Hottenga JJ, Willemsen G, Boomsma DI, Byrne EM, Martin NG, Montgomery GW, Warrington NM, Pennell CE, Stolk L, Visser JA, Hofman A, Uitterlinden AG, Rivadeneira F, Lin P, Fisher SL, Bierut LJ, Crisponi L, Porcu E, Mangino M, Zhai G, Spector TD, Buring JE, Rose LM, Ridker PM, Poole C, Hirschhorn JN, Murabito JM, Chasman DI, Widen E, North KE, Ong KK, and Franceschini N

Subjects
Adolescent, Age Factors, Body Mass Index, Child, Female, Genetic Association Studies, Humans, Linkage Disequilibrium, Waist Circumference, Waist-Hip Ratio, Women's Health statistics & numerical data, Adiposity genetics, Menarche genetics, Obesity epidemiology, Obesity genetics, Polymorphism, Single Nucleotide, White People genetics
Abstract

Obesity is of global health concern. There are well-described inverse relationships between female pubertal timing and obesity. Recent genome-wide association studies of age at menarche identified several obesity-related variants. Using data from the ReproGen Consortium, we employed meta-analytical techniques to estimate the associations of 95 a priori and recently identified obesity-related (body mass index (weight (kg)/height (m)(2)), waist circumference, and waist:hip ratio) single-nucleotide polymorphisms (SNPs) with age at menarche in 92,116 women of European descent from 38 studies (1970-2010), in order to estimate associations between genetic variants associated with central or overall adiposity and pubertal timing in girls. Investigators in each study performed a separate analysis of associations between the selected SNPs and age at menarche (ages 9-17 years) using linear regression models and adjusting for birth year, site (as appropriate), and population stratification. Heterogeneity of effect-measure estimates was investigated using meta-regression. Six novel associations of body mass index loci with age at menarche were identified, and 11 adiposity loci previously reported to be associated with age at menarche were confirmed, but none of the central adiposity variants individually showed significant associations. These findings suggest complex genetic relationships between menarche and overall obesity, and to a lesser extent central obesity, in normal processes of growth and development.

Published
2013
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186. Genome-wide association study meta-analysis of chronic widespread pain: evidence for involvement of the 5p15.2 region.

Author

Peters MJ, Broer L, Willemen HL, Eiriksdottir G, Hocking LJ, Holliday KL, Horan MA, Meulenbelt I, Neogi T, Popham M, Schmidt CO, Soni A, Valdes AM, Amin N, Dennison EM, Eijkelkamp N, Harris TB, Hart DJ, Hofman A, Huygen FJ, Jameson KA, Jones GT, Launer LJ, Kerkhof HJ, de Kruijf M, McBeth J, Kloppenburg M, Ollier WE, Oostra B, Payton A, Rivadeneira F, Smith BH, Smith AV, Stolk L, Teumer A, Thomson W, Uitterlinden AG, Wang K, van Wingerden SH, Arden NK, Cooper C, Felson D, Gudnason V, Macfarlane GJ, Pendleton N, Slagboom PE, Spector TD, Völzke H, Kavelaars A, van Duijn CM, Williams FM, and van Meurs JB

Subjects
Animals, Disease Models, Animal, Female, Genetic Predisposition to Disease, Genotype, Humans, Mice, Polymorphism, Single Nucleotide, Chromosomes, Human, Pair 5 genetics, Chronic Pain genetics, Genome-Wide Association Study
Abstract

Background and Objectives: Chronic widespread pain (CWP) is a common disorder affecting ∼10% of the general population and has an estimated heritability of 48-52%. In the first large-scale genome-wide association study (GWAS) meta-analysis, we aimed to identify common genetic variants associated with CWP., Methods: We conducted a GWAS meta-analysis in 1308 female CWP cases and 5791 controls of European descent, and replicated the effects of the genetic variants with suggestive evidence for association in 1480 CWP cases and 7989 controls. Subsequently, we studied gene expression levels of the nearest genes in two chronic inflammatory pain mouse models, and examined 92 genetic variants previously described associated with pain., Results: The minor C-allele of rs13361160 on chromosome 5p15.2, located upstream of chaperonin-containing-TCP1-complex-5 gene (CCT5) and downstream of FAM173B, was found to be associated with a 30% higher risk of CWP (minor allele frequency=43%; OR=1.30, 95% CI 1.19 to 1.42, p=1.2×10(-8)). Combined with the replication, we observed a slightly attenuated OR of 1.17 (95% CI 1.10 to 1.24, p=4.7×10(-7)) with moderate heterogeneity (I2=28.4%). However, in a sensitivity analysis that only allowed studies with joint-specific pain, the combined association was genome-wide significant (OR=1.23, 95% CI 1.14 to 1.32, p=3.4×10(-8), I2=0%). Expression levels of Cct5 and Fam173b in mice with inflammatory pain were higher in the lumbar spinal cord, not in the lumbar dorsal root ganglions, compared to mice without pain. None of the 92 genetic variants previously described were significantly associated with pain (p>7.7×10(-4))., Conclusions: We identified a common genetic variant on chromosome 5p15.2 associated with joint-specific CWP in humans. This work suggests that CCT5 and FAM173B are promising targets in the regulation of pain.

Published
2013
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187. Genome-wide meta-analysis of common variant differences between men and women.

Author

Boraska V, Jerončić A, Colonna V, Southam L, Nyholt DR, Rayner NW, Perry JR, Toniolo D, Albrecht E, Ang W, Bandinelli S, Barbalic M, Barroso I, Beckmann JS, Biffar R, Boomsma D, Campbell H, Corre T, Erdmann J, Esko T, Fischer K, Franceschini N, Frayling TM, Girotto G, Gonzalez JR, Harris TB, Heath AC, Heid IM, Hoffmann W, Hofman A, Horikoshi M, Zhao JH, Jackson AU, Hottenga JJ, Jula A, Kähönen M, Khaw KT, Kiemeney LA, Klopp N, Kutalik Z, Lagou V, Launer LJ, Lehtimäki T, Lemire M, Lokki ML, Loley C, Luan J, Mangino M, Mateo Leach I, Medland SE, Mihailov E, Montgomery GW, Navis G, Newnham J, Nieminen MS, Palotie A, Panoutsopoulou K, Peters A, Pirastu N, Polasek O, Rehnström K, Ripatti S, Ritchie GR, Rivadeneira F, Robino A, Samani NJ, Shin SY, Sinisalo J, Smit JH, Soranzo N, Stolk L, Swinkels DW, Tanaka T, Teumer A, Tönjes A, Traglia M, Tuomilehto J, Valsesia A, van Gilst WH, van Meurs JB, Smith AV, Viikari J, Vink JM, Waeber G, Warrington NM, Widen E, Willemsen G, Wright AF, Zanke BW, Zgaga L, Boehnke M, d'Adamo AP, de Geus E, Demerath EW, den Heijer M, Eriksson JG, Ferrucci L, Gieger C, Gudnason V, Hayward C, Hengstenberg C, Hudson TJ, Järvelin MR, Kogevinas M, Loos RJ, Martin NG, Metspalu A, Pennell CE, Penninx BW, Perola M, Raitakari O, Salomaa V, Schreiber S, Schunkert H, Spector TD, Stumvoll M, Uitterlinden AG, Ulivi S, van der Harst P, Vollenweider P, Völzke H, Wareham NJ, Wichmann HE, Wilson JF, Rudan I, Xue Y, and Zeggini E

Subjects
Female, Gene Frequency, Humans, Male, Sex Ratio, Sexism, White People genetics, Genome-Wide Association Study, Models, Genetic, Polymorphism, Single Nucleotide, Sex Factors
Abstract

The male-to-female sex ratio at birth is constant across world populations with an average of 1.06 (106 male to 100 female live births) for populations of European descent. The sex ratio is considered to be affected by numerous biological and environmental factors and to have a heritable component. The aim of this study was to investigate the presence of common allele modest effects at autosomal and chromosome X variants that could explain the observed sex ratio at birth. We conducted a large-scale genome-wide association scan (GWAS) meta-analysis across 51 studies, comprising overall 114 863 individuals (61 094 women and 53 769 men) of European ancestry and 2 623 828 common (minor allele frequency >0.05) single-nucleotide polymorphisms (SNPs). Allele frequencies were compared between men and women for directly-typed and imputed variants within each study. Forward-time simulations for unlinked, neutral, autosomal, common loci were performed under the demographic model for European populations with a fixed sex ratio and a random mating scheme to assess the probability of detecting significant allele frequency differences. We do not detect any genome-wide significant (P < 5 × 10(-8)) common SNP differences between men and women in this well-powered meta-analysis. The simulated data provided results entirely consistent with these findings. This large-scale investigation across ~115 000 individuals shows no detectable contribution from common genetic variants to the observed skew in the sex ratio. The absence of sex-specific differences is useful in guiding genetic association study design, for example when using mixed controls for sex-biased traits.

Published
2012
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188. Thirty new loci for age at menarche identified by a meta-analysis of genome-wide association studies.

Author

Elks CE, Perry JR, Sulem P, Chasman DI, Franceschini N, He C, Lunetta KL, Visser JA, Byrne EM, Cousminer DL, Gudbjartsson DF, Esko T, Feenstra B, Hottenga JJ, Koller DL, Kutalik Z, Lin P, Mangino M, Marongiu M, McArdle PF, Smith AV, Stolk L, van Wingerden SH, Zhao JH, Albrecht E, Corre T, Ingelsson E, Hayward C, Magnusson PK, Smith EN, Ulivi S, Warrington NM, Zgaga L, Alavere H, Amin N, Aspelund T, Bandinelli S, Barroso I, Berenson GS, Bergmann S, Blackburn H, Boerwinkle E, Buring JE, Busonero F, Campbell H, Chanock SJ, Chen W, Cornelis MC, Couper D, Coviello AD, d'Adamo P, de Faire U, de Geus EJ, Deloukas P, Döring A, Smith GD, Easton DF, Eiriksdottir G, Emilsson V, Eriksson J, Ferrucci L, Folsom AR, Foroud T, Garcia M, Gasparini P, Geller F, Gieger C, Gudnason V, Hall P, Hankinson SE, Ferreli L, Heath AC, Hernandez DG, Hofman A, Hu FB, Illig T, Järvelin MR, Johnson AD, Karasik D, Khaw KT, Kiel DP, Kilpeläinen TO, Kolcic I, Kraft P, Launer LJ, Laven JS, Li S, Liu J, Levy D, Martin NG, McArdle WL, Melbye M, Mooser V, Murray JC, Murray SS, Nalls MA, Navarro P, Nelis M, Ness AR, Northstone K, Oostra BA, Peacock M, Palmer LJ, Palotie A, Paré G, Parker AN, Pedersen NL, Peltonen L, Pennell CE, Pharoah P, Polasek O, Plump AS, Pouta A, Porcu E, Rafnar T, Rice JP, Ring SM, Rivadeneira F, Rudan I, Sala C, Salomaa V, Sanna S, Schlessinger D, Schork NJ, Scuteri A, Segrè AV, Shuldiner AR, Soranzo N, Sovio U, Srinivasan SR, Strachan DP, Tammesoo ML, Tikkanen E, Toniolo D, Tsui K, Tryggvadottir L, Tyrer J, Uda M, van Dam RM, van Meurs JB, Vollenweider P, Waeber G, Wareham NJ, Waterworth DM, Weedon MN, Wichmann HE, Willemsen G, Wilson JF, Wright AF, Young L, Zhai G, Zhuang WV, Bierut LJ, Boomsma DI, Boyd HA, Crisponi L, Demerath EW, van Duijn CM, Econs MJ, Harris TB, Hunter DJ, Loos RJ, Metspalu A, Montgomery GW, Ridker PM, Spector TD, Streeten EA, Stefansson K, Thorsteinsdottir U, Uitterlinden AG, Widen E, Murabito JM, Ong KK, and Murray A

Subjects
Adolescent, Body Height genetics, Body Size genetics, Child, DNA Copy Number Variations genetics, Female, Genetic Predisposition to Disease, Humans, Inheritance Patterns genetics, Obesity genetics, Polymorphism, Single Nucleotide genetics, Quantitative Trait Loci genetics, Reproducibility of Results, Time Factors, Aging physiology, Genetic Loci genetics, Genome-Wide Association Study, Menarche genetics
Abstract

To identify loci for age at menarche, we performed a meta-analysis of 32 genome-wide association studies in 87,802 women of European descent, with replication in up to 14,731 women. In addition to the known loci at LIN28B (P = 5.4 × 10⁻⁶⁰) and 9q31.2 (P = 2.2 × 10⁻³³), we identified 30 new menarche loci (all P < 5 × 10⁻⁸) and found suggestive evidence for a further 10 loci (P < 1.9 × 10⁻⁶). The new loci included four previously associated with body mass index (in or near FTO, SEC16B, TRA2B and TMEM18), three in or near other genes implicated in energy homeostasis (BSX, CRTC1 and MCHR2) and three in or near genes implicated in hormonal regulation (INHBA, PCSK2 and RXRG). Ingenuity and gene-set enrichment pathway analyses identified coenzyme A and fatty acid biosynthesis as biological processes related to menarche timing.

Published
2010
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189. Association of the exon 3 deleted/full-length GHR polymorphism with recombinant growth hormone dose in growth hormone-deficient adults.

Author

Meyer S, Schaefer S, Stolk L, Arp P, Uitterlinden AG, Plöckinger U, Stalla GK, Tuschy U, Weber MM, Weise A, Pfützner A, and Kann PH

Subjects
Adult, Alleles, Female, Gene Frequency, Genotype, Heterozygote, Homozygote, Human Growth Hormone deficiency, Humans, Insulin-Like Growth Factor I metabolism, Male, Pharmacogenetics methods, Prospective Studies, Recombinant Proteins therapeutic use, Sequence Deletion, Time Factors, Exons genetics, Human Growth Hormone genetics, Human Growth Hormone therapeutic use, Polymorphism, Genetic genetics, Receptors, Somatotropin genetics
Abstract

Aims: Contradictory reports exist regarding the influence of the exon 3 deleted (d3)/full-length (fl) growth hormone receptor (GHR) polymorphism on responsiveness to recombinant human growth-hormone therapy in idiopathic short stature, small for gestational age and GH-deficient children, Turner syndrome patients and GH-deficient adults. In some of these studies, the d3 allele was associated with increased responsiveness to GH. The aim of this study was to test this association in a group of GH-deficient adult patients receiving recombinant GH treatment., Materials & Methods: Patients were derived from the prospective German Pfizer International Metabolic Study (KIMS) Pharmacogenetics Study. The GHRd3/fl polymorphism was determined in 133 German adult patients (66 men and 67 women; mean age: 45.4 years +/- 13.1 standard deviation; majority Caucasian) with a GH-deficiency of different origin. Patients received GH treatment for 12 months with a finished dose-titration of GH and standardized insulin-like growth factor (IGF)-1 measurements in one central laboratory. GH dose after 1 year of treatment, IGF-1 serum concentrations, IGF-1 standard deviation score (SDS) values and anthropometric data were analyzed by GHRd3/fl genotypes., Results: After 1 year of GH treatment, the individually required GH dose was significantly lower in GH-deficient patients carrying one or two d3 alleles, compared with patients with the full-length receptor (p = 0.04). Genotype groups (d3-allele carriers vs noncarriers) showed no significant differences in IGF-1 serum concentrations (p = 0.51), IGF-1 SDS (p = 0.36) nor in gender (p = 0.53), age (p = 0.28), weight (p = 0.13), height (p = 0.53) or BMI (p = 0.15)., Conclusion: The d3-allele carriers required approximately 25% less exogenous GH compared with the homozygous fl-allele carriers, which may express an increased responsiveness to exogenous GH. Variability of the individually required GH dose in adult GH-deficient patients may therefore be partly due to the GHRd3/fl polymorphism. Further studies are required to confirm these results.

Published
2009
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190. The catechol-O-methyltransferase Met158 low-activity allele and association with nonvertebral fracture risk in elderly men.

Author

Stolk L, van Meurs JB, Jhamai M, Arp PP, van Leeuwen JP, Hofman A, de Jong FH, Pols HA, and Uitterlinden AG

Subjects
Aged, Alleles, Androstenedione blood, Anthropometry, Bone Density physiology, Bone and Bones cytology, Bone and Bones metabolism, Catechol O-Methyltransferase metabolism, Cohort Studies, Estradiol blood, Estrogens blood, Estrone blood, Female, Genetic Variation, Genotype, Humans, Male, Methionine metabolism, Middle Aged, Osteoblasts metabolism, RNA, Messenger biosynthesis, Reverse Transcriptase Polymerase Chain Reaction, Risk, Testosterone blood, Catechol O-Methyltransferase genetics, Fractures, Bone epidemiology, Fractures, Bone genetics, Methionine genetics
Abstract

Context: Because sex steroids play an important role in bone development, variants in genes encoding proteins involved in estrogen synthesis and metabolism could contribute to interindividual variation in bone parameters and fracture risk. An example is catechol-O-methyltransferase (COMT), an estrogen-degrading enzyme involved in inactivation of catechol-estrogens. Its gene contains a functional valine to methionine substitution at codon 158., Objective: The aim of our study was to determine whether this polymorphism is associated with bone parameters and fracture risk in elderly subjects., Methods: COMT genotypes were determined using TaqMan allelic discrimination in 2515 men and 3554 women from the Rotterdam Study, a population-based cohort study of individuals aged 55 and older. Associations with bone mineral density (BMD) and bone loss were analyzed using ANOVA or analysis of covariance, whereas fracture risk was analyzed using Cox's proportional hazard regression analysis. COMT mRNA expression in three osteoblastic cell lines (SaOS, MG63, and SVHFO) was analyzed by RT-PCR., Results: Male carriers of the Met(158) allele had an increased risk for osteoporotic fractures (hazard ratio = 1.6; 95% confidence interval, 1.0-2.4) and for fragility fractures (hazard ratio = 2.7; 95% confidence interval, 1.3-5.9), with evidence for a dominant effect. Adjustments for age, height, weight, and BMD did not change the risk estimates. In women, this association was weaker and not significant. BMD was not significantly associated with the variant in either men or women. COMT mRNA was expressed in all three osteoblastic cell lines tested., Conclusion: The COMT Val158Met polymorphism is associated with fracture risk in elderly men, through a mechanism independent of BMD.

Published
2007
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191. Estrogen receptor beta (ESR2) polymorphisms in interaction with estrogen receptor alpha (ESR1) and insulin-like growth factor I (IGF1) variants influence the risk of fracture in postmenopausal women.

Author

Rivadeneira F, van Meurs JB, Kant J, Zillikens MC, Stolk L, Beck TJ, Arp P, Schuit SC, Hofman A, Houwing-Duistermaat JJ, van Duijn CM, van Leeuwen JP, Pols HA, and Uitterlinden AG

Subjects
Aged, Aged, 80 and over, Cohort Studies, Female, Genetic Predisposition to Disease epidemiology, Haplotypes, Hip anatomy & histology, Humans, Linkage Disequilibrium, Middle Aged, Osteoporosis genetics, Osteoporosis, Postmenopausal etiology, Osteoporosis, Postmenopausal genetics, Polymorphism, Genetic, Risk Factors, Spine anatomy & histology, Estrogen Receptor alpha genetics, Estrogen Receptor beta genetics, Fractures, Bone epidemiology, Insulin-Like Growth Factor I genetics, Postmenopause
Abstract

Unlabelled: In this large population-based cohort study, variants in ESR2 were associated with increased risk of vertebral and incident fragility fracture in postmenopausal women. Interaction of ESR2 with ESR1 and IGF1 was determined and revealed a deleterious genetic combination that enhances the risk of osteoporotic fracture., Introduction: Osteoporosis is a complex disease with strong genetic influence, but the genes involved are ill-defined. We examined estrogen receptor beta (ESR2) polymorphisms in interaction with estrogen receptor alpha (ESR1) and insulin-like growth factor I (IGF1) variants in relation to the risk of osteoporotic fracture, BMD, and bone geometry., Materials and Methods: In the Rotterdam study, a prospective population-based cohort of elderly white individuals, we studied six single nucleotide polymorphisms (SNPs) in ESR2 (n = 6343, 60% women). We analyzed the genetic variants in the form of haplotypes reconstructed by a statistical method. Results refer to the most frequent ESR2 haplotype 1 estimated from two SNPs in intron 2 and the 3'-untranslated region (UTR). Outcomes included vertebral and incident nonvertebral fractures, BMD, and hip structural analysis (HSA). We also studied the interaction with (the most frequent) ESR1 haplotype 1 estimated from the PvuII and XbaI polymorphisms and an IGF1 promoter CA-repeat., Results: Compared with ESR2 haplotype 1 noncarriers, female homozygous carriers had a 1.8- and 1.4-fold increased risk of vertebral and fragility fractures. HSA showed that ESR2 haplotype 1 homozygote women had 2.6% thinner cortices, 1.0% increased neck width, and 4.3% higher bone instability (buckling ratios). For testing the gene interaction, we assumed a recessive model of ESR2 haplotype 1. Female homozygous carriers of ESR2 haplotype 1 and noncarriers of ESR1 haplotype 1 had a 3.5- and 1.8-fold increased risk of vertebral and fragility fractures (p(interaction) = 0.10). Such effects and interactions were stronger in women homozygous for the IGF1 192-bp allele, with 9.3-fold increased risk (p(interaction) = 0.002) for vertebral and 4.0-fold increased risk (p(interaction) = 0.01) for fragility fractures. Multilocus interaction analyses of fracture endured correction for multiple testing using Monte-Carlo simulations (p(interaction) = 0.02 for vertebral and p(interaction) = 0.03 for fragility fractures). Similar patterns of interaction were observed for BMD, cortical thickness, bone strength (section modulus), and instability (buckling ratio). In men, no such effects were observed., Conclusions: Variants of ESR2 alone and in interaction with ESR1 and IGF1 influence the risk of fracture in postmenopausal women. These findings reinforce the polygenic and complex character of osteoporosis.

Published
2006
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