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

Author

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

Abstract

Pubertal timing varies considerably and is associated with later health outcomes. We performed multi-ancestry genetic analyses on ~800,000 women, identifying 1,080 signals for age at menarche. Collectively, these explained 11% of trait variance in an independent sample. Women at the top and bottom 1% of polygenic risk exhibited ~11 and ~14-fold higher risks of delayed and precocious puberty, respectively. We identified several genes harboring rare loss-of-function variants in ~200,000 women, including variants in ZNF483, which abolished the impact of polygenic risk. Variant-to-gene mapping approaches and mouse gonadotropin-releasing hormone neuron RNA sequencing implicated 665 genes, including an uncharacterized G-protein-coupled receptor, GPR83, which amplified the signaling of MC3R, a key nutritional sensor. Shared signals with menopause timing at genes involved in DNA damage response suggest that the ovarian reserve might signal centrally to trigger puberty. We also highlight body size-dependent and independent mechanisms that potentially link reproductive timing to later life disease.

Published
2024

4. Bar pattern speed and position of the circumnuclear ring in NGC 1097

Author

Piñol-Ferrer, N., Fathi, K., Carignan, C., Font, J., Hernandez, O., Karlsson, R., and van de Ven, G.

Subjects
Astrophysics - Astrophysics of Galaxies
Abstract

We present the first galactic-scale model of the gas dynamics of the prototype barred Seyfert 1 galaxy NGC1097. We use large scale FaNTOmM Fabry-Perot interferometric data covering the entire galactic disc and combine the distribution and kinematics maps with high resolution two-dimensional spectroscopy from the Gemini telescope. We build a dynamical model for the gravitational potential by applying the analytic solution to the equations of motion, within the epicyclic approximation. Our model reproduces all the significant kinematic and structural signatures of this galaxy. We find that the primary bar is 7.9+/-0.6 kpc long and has a pattern speed of 36 +/- 2 km s^-1 kpc^-1. This places the corotation radius at 8.6 +/-0.5 kpc, the outer Lindblad resonance at 14.9+/-0.9 kpc and two inner Lindblad resonances at 60+/-5 pc and 2.9+/-0.1 kpc. These derivations lead to a ratio of the corotation radius over bar length of 1.0--1.2, which is in agreement with the predictions of simulations for fast galaxy bars. Our model presents evidence that the circumnuclear ring in this galaxy is not located near any of the resonance radii in this galaxy. The ring might have once formed at the outer inner Lindblad resonance radius, and it has been migrating inward, toward the centre of the galactic gravitational potential., Comment: accepted in MNRAS

Published
2013
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5. ELVIS - ELectromagnetic Vector Information Sensor

Author

Bergman, J. E. S., Åhlén, L., Stål, O., Thidé, B., Ananthakrishnan, S., Wahlund, J. -E., Karlsson, R. L., Puccio, W., Carozzi, T. D., and Kale, P.

Subjects
Astrophysics
Abstract

The ELVIS instrument was recently proposed by the authors for the Indian Chandrayaan-1 mission to the Moon and is presently under consideration by the Indian Space Research Organisation (ISRO). The scientific objective of ELVIS is to explore the electromagnetic environment of the moon. ELVIS samples the full three-dimensional (3D) electric field vector, E(x,t), up to 18 MHz, with selective Nyqvist frequency bandwidths down to 5 kHz, and one component of the magnetic field vector, B(x,t), from a few Hz up to 100 kHz.As a transient detector, ELVIS is capable of detecting pulses with a minimum pulse width of 5 ns. The instrument comprises three orthogonal electric dipole antennas, one magnetic search coil antenna and a four-channel digital sampling system, utilising flexible digital down conversion and filtering together with state-of-the-art onboard digital signal processing., Comment: 8 pages, 3 figures. Submitted to the DGLR Int. Symposium "To Moon and Beyond", Bremen, Germany, 2005. Companion paper to arXiv:astro-ph/0509210

Published
2005

7. Motivation and possibilities of affordable low-frequency radio interferometry in space

Author

Janhunen, P., Olsson, A., Karlsson, R., and Griessmeier, J. -M.

Subjects
Astrophysics
Abstract

The motivation to build spaceborne interferometric arrays for low-frequency radio astronomy is widely recognised because frequencies below the ionospheric cutoff are inaccessible for ground-based radio telescopes. We discuss the theoretical possibilities to use low-frequency spacecraft arrays to detect signals from magnetized extrasolar planets, including earthlike ones. A major uncertainty that prohibits us from knowing if it is possible to detect exoplanet cyclotron maser signals is the incomplete knowledge of the properties of the interstellar plasma. We also present some ideas of how to construct efficient and affordable space-based radio telescopes. We discuss two possibilities, a log-periodic antenna in the spin plane and a two-spacecraft concept where one spacecraft holds a large parabolic wire mesh reflector and the other one contains the receiver. In the latter case, the effective area could be of the order of 1 km$^2$. The purpose of the paper is to stress once more the importance of spaceborne low-frequency measurements by bringing in the intriguing possibility of detecting earthlike exoplanet radio emissions and to demonstrate that building even very large low-frequency antennas in space is not necessarily too expensive., Comment: 7 pages, 2 figures, submitted to A&A

Published
2003

8. Identification of global inhibitors of cellular glycosylation

Author

Sørensen, D.M., Büll, C., Madsen, T.D., Lira-Navarrete, E., Clausen, T.M., Clark, A.E., Garretson, A.F., Karlsson, R., Pijnenborg, J.F.A., Yin, X., Miller, R.L., Chanda, S.K., Boltje, T.J., Schjoldager, K.T., Vakhrushev, S.Y., Halim, A. Abdul, Esko, J.D., Carlin, A.F., Hurtado-Guerrero, R., Weigert, R., Clausen, H., Narimatsu, Y., Sørensen, D.M., Büll, C., Madsen, T.D., Lira-Navarrete, E., Clausen, T.M., Clark, A.E., Garretson, A.F., Karlsson, R., Pijnenborg, J.F.A., Yin, X., Miller, R.L., Chanda, S.K., Boltje, T.J., Schjoldager, K.T., Vakhrushev, S.Y., Halim, A. Abdul, Esko, J.D., Carlin, A.F., Hurtado-Guerrero, R., Weigert, R., Clausen, H., and Narimatsu, Y.

Abstract

Contains fulltext : 293323.pdf (Publisher’s version ) (Open Access)

Published
2023

9. Maternal educational attainment in pregnancy and epigenome-wide DNA methylation changes in the offspring from birth until adolescence

Author

Choudhary, P., Monasso, G.S., Karhunen, V., Ronkainen, J., Mancano, G., Howe, C.G., Niu, Z., Zeng, X., Guan, W., Dou, J., Feinberg, J.I., Mordaunt, C., Pesce, G., Baïz, N., Alfano, R., Martens, D.S., Wang, C., Isaevska, E., Keikkala, E., Mustaniemi, S., Thio, C.H.L., Fraszczyk, E., Tobi, E.W., Starling, A.P., Cosin-Tomas, M., Urquiza, J., Röder, Stefan, Hoang, T.T., Page, C., Jima, D.D., House, J.S., Maguire, R.L., Ott, R., Pawlow, X., Sirignano, L., Zillich, L., Malmberg, A., Rauschert, S., Melton, P., Gong, T., Karlsson, R., Fore, R., Perng, W., Laubach, Z.M., Czamara, D., Sharp, G., Breton, C.V., Schisterman, E., Yeung, E., Mumford, S.L., Fallin, M.D., LaSalle, J.M., Schmidt, R.J., Bakulski, K.M., Annesi-Maesano, I., Heude, B., Nawrot, T.S., Plusquin, M., Ghantous, A., Herceg, Z., Nisticò, L., Vafeiadi, M., Kogevinas, M., Vääräsmäki, M., Kajantie, E., Snieder, H., Corpeleijn, E., Steegers-Theunissen, R.P.M., Yang, I.V., Dabelea, D., Fossati, S., Zenclussen, Ana Claudia, Herberth, Gunda, Magnus, M., Håberg, S.E., London, S.J., Munthe-Kaas, M.C., Murphy, S.K., Hoyo, C., Ziegler, A.-G., Hummel, S., Witt, S.H., Streit, F., Frank, J., Räikkönen, K., Lahti, J., Huang, R.-C., Almqvist, C., Hivert, M.-F., Jaddoe, V.W.V., Järvelin, M.-R., Kantomaa, M., Felix, J.F., Sebert, S., Choudhary, P., Monasso, G.S., Karhunen, V., Ronkainen, J., Mancano, G., Howe, C.G., Niu, Z., Zeng, X., Guan, W., Dou, J., Feinberg, J.I., Mordaunt, C., Pesce, G., Baïz, N., Alfano, R., Martens, D.S., Wang, C., Isaevska, E., Keikkala, E., Mustaniemi, S., Thio, C.H.L., Fraszczyk, E., Tobi, E.W., Starling, A.P., Cosin-Tomas, M., Urquiza, J., Röder, Stefan, Hoang, T.T., Page, C., Jima, D.D., House, J.S., Maguire, R.L., Ott, R., Pawlow, X., Sirignano, L., Zillich, L., Malmberg, A., Rauschert, S., Melton, P., Gong, T., Karlsson, R., Fore, R., Perng, W., Laubach, Z.M., Czamara, D., Sharp, G., Breton, C.V., Schisterman, E., Yeung, E., Mumford, S.L., Fallin, M.D., LaSalle, J.M., Schmidt, R.J., Bakulski, K.M., Annesi-Maesano, I., Heude, B., Nawrot, T.S., Plusquin, M., Ghantous, A., Herceg, Z., Nisticò, L., Vafeiadi, M., Kogevinas, M., Vääräsmäki, M., Kajantie, E., Snieder, H., Corpeleijn, E., Steegers-Theunissen, R.P.M., Yang, I.V., Dabelea, D., Fossati, S., Zenclussen, Ana Claudia, Herberth, Gunda, Magnus, M., Håberg, S.E., London, S.J., Munthe-Kaas, M.C., Murphy, S.K., Hoyo, C., Ziegler, A.-G., Hummel, S., Witt, S.H., Streit, F., Frank, J., Räikkönen, K., Lahti, J., Huang, R.-C., Almqvist, C., Hivert, M.-F., Jaddoe, V.W.V., Järvelin, M.-R., Kantomaa, M., Felix, J.F., and Sebert, S.

Abstract

Maternal educational attainment (MEA) shapes offspring health through multiple potential pathways. Differential DNA methylation may provide a mechanistic understanding of these long-term associations. We aimed to quantify the associations of MEA with offspring DNA methylation levels at birth, in childhood and in adolescence. Using 37 studies from high-income countries, we performed meta-analysis of epigenome-wide association studies (EWAS) to quantify the associations of completed years of MEA at the time of pregnancy with offspring DNA methylation levels at birth (n = 9 881), in childhood (n = 2 017), and adolescence (n = 2 740), adjusting for relevant covariates. MEA was found to be associated with DNA methylation at 473 cytosine-phosphate-guanine sites at birth, one in childhood, and four in adolescence. We observed enrichment for findings from previous EWAS on maternal folate, vitamin-B12 concentrations, maternal smoking, and pre-pregnancy BMI. The associations were directionally consistent with MEA being inversely associated with behaviours including smoking and BMI. Our findings form a bridge between socio-economic factors and biology and highlight potential pathways underlying effects of maternal education. The results broaden our understanding of bio-social associations linked to differential DNA methylation in multiple early stages of life. The data generated also offers an important resource to help a more precise understanding of the social determinants of health.

Published
2023

10. Analysis of DNA methylation at birth and in childhood reveals changes associated with season of birth and latitude

Author

Kadalayil, L., Alam, M., White, C.H., Ghantous, A., Walton, E., Gruzieva, O., Merid, S.K., Kumar, A., Roy, R., Solomon, O., Huen, K., Eskenazi, B., Rzehak, P., Grote, V., Langhendries, J.-P., Verduci, E., Ferre, N., Gruszfeld, D., Gao, L., Guan, W., Zeng, X., Schisterman, E.F., Dou, J., Bakulski, K.M., Feinberg, J.I., Soomro, M.H., Pesce, G., Baiz, N., Isaevska, E., Plusquin, M., Vafeiadi, M., Roumeliotaki, T., Langie, S.A.S., Standaert, A., Allard, C., Perron, P., Bouchard, L., van Meel, E.R., Felix, J.F., Jaddoe, V.W.V., Yousefi, P.D., Ramlau‑Hansen, C.H., Relton, C.L., Tobi, E.W., Starling, A.P., Yang, I.V., Llambrich, M., Santorelli, G., Lepeule, J., Salas, L.A., Bustamante, M., Ewart, S.L., Zhang, H., Karmaus, W., Röder, Stefan, Zenclussen, Ana Claudia, Jin, J., Nystad, W., Page, C.M., Magnus, M., Jima, D.D., Hoyo, C., Maguire, R.L., Kvist, T., Czamara, D., Räikkönen, K., Gong, T., Ullemar, V., Rifas‐Shiman, S.L., Oken, E., Almqvist, C., Karlsson, R., Lahti, J., Murphy, S.K., Håberg, S.E., London, S., Herberth, Gunda, Arshad, H., Sunyer, J., Grazuleviciene, R., Dabelea, D., Steegers‑Theunissen, R.P.M., Nohr, E.A., Sørensen, T.I.A., Duijts, L., Hivert, M.-F., Nelen, V., Popovic, M., Kogevinas, M., Nawrot, T.S., Herceg, Z., Annesi-Maesano, I., Fallin, M.D., Yeung, E., Breton, C.V., Koletzko, B., Holland, N., Melén, E., Sharp, G.C., Silver, M.J., Kadalayil, L., Alam, M., White, C.H., Ghantous, A., Walton, E., Gruzieva, O., Merid, S.K., Kumar, A., Roy, R., Solomon, O., Huen, K., Eskenazi, B., Rzehak, P., Grote, V., Langhendries, J.-P., Verduci, E., Ferre, N., Gruszfeld, D., Gao, L., Guan, W., Zeng, X., Schisterman, E.F., Dou, J., Bakulski, K.M., Feinberg, J.I., Soomro, M.H., Pesce, G., Baiz, N., Isaevska, E., Plusquin, M., Vafeiadi, M., Roumeliotaki, T., Langie, S.A.S., Standaert, A., Allard, C., Perron, P., Bouchard, L., van Meel, E.R., Felix, J.F., Jaddoe, V.W.V., Yousefi, P.D., Ramlau‑Hansen, C.H., Relton, C.L., Tobi, E.W., Starling, A.P., Yang, I.V., Llambrich, M., Santorelli, G., Lepeule, J., Salas, L.A., Bustamante, M., Ewart, S.L., Zhang, H., Karmaus, W., Röder, Stefan, Zenclussen, Ana Claudia, Jin, J., Nystad, W., Page, C.M., Magnus, M., Jima, D.D., Hoyo, C., Maguire, R.L., Kvist, T., Czamara, D., Räikkönen, K., Gong, T., Ullemar, V., Rifas‐Shiman, S.L., Oken, E., Almqvist, C., Karlsson, R., Lahti, J., Murphy, S.K., Håberg, S.E., London, S., Herberth, Gunda, Arshad, H., Sunyer, J., Grazuleviciene, R., Dabelea, D., Steegers‑Theunissen, R.P.M., Nohr, E.A., Sørensen, T.I.A., Duijts, L., Hivert, M.-F., Nelen, V., Popovic, M., Kogevinas, M., Nawrot, T.S., Herceg, Z., Annesi-Maesano, I., Fallin, M.D., Yeung, E., Breton, C.V., Koletzko, B., Holland, N., Melén, E., Sharp, G.C., and Silver, M.J.

Abstract

BackgroundSeasonal variations in environmental exposures at birth or during gestation are associated with numerous adult traits and health outcomes later in life. Whether DNA methylation (DNAm) plays a role in the molecular mechanisms underlying the associations between birth season and lifelong phenotypes remains unclear.MethodsWe carried out epigenome-wide meta-analyses within the Pregnancy And Childhood Epigenetic Consortium to identify associations of DNAm with birth season, both at differentially methylated probes (DMPs) and regions (DMRs). Associations were examined at two time points: at birth (21 cohorts, N = 9358) and in children aged 1–11 years (12 cohorts, N = 3610). We conducted meta-analyses to assess the impact of latitude on birth season-specific associations at both time points.ResultsWe identified associations between birth season and DNAm (False Discovery Rate-adjusted p values < 0.05) at two CpGs at birth (winter-born) and four in the childhood (summer-born) analyses when compared to children born in autumn. Furthermore, we identified twenty-six differentially methylated regions (DMR) at birth (winter-born: 8, spring-born: 15, summer-born: 3) and thirty-two in childhood (winter-born: 12, spring and summer: 10 each) meta-analyses with few overlapping DMRs between the birth seasons or the two time points. The DMRs were associated with genes of known functions in tumorigenesis, psychiatric/neurological disorders, inflammation, or immunity, amongst others. Latitude-stratified meta-analyses [higher (≥ 50°N), lower (< 50°N, northern hemisphere only)] revealed differences in associations between birth season and DNAm by birth latitude. DMR analysis implicated genes with previously reported links to schizophrenia (LAX1), skin disorders (PSORS1C, LTB4R), and airway inflammation including asthma (LTB4R), present only at birth in the higher latitudes (≥ 50°N).ConclusiosIn this large epigenome-wide meta-analysis study, we provide eviden

Published
2023

11. Metataxonomic and metaproteomic profiling of the oral microbiome in oral lichen planus : a pilot study

Author

Bankvall, M., Carda-Diéguez, M., Mira, Alex, Karlsson, A., Hasséus, B., Karlsson, R., Robledo-Sierra, J., Bankvall, M., Carda-Diéguez, M., Mira, Alex, Karlsson, A., Hasséus, B., Karlsson, R., and Robledo-Sierra, J.

Abstract

Background: A growing body of evidence demonstrates a different bacterial composition in the oral cavity of patients with oral lichen planus (OLP). Patients and methods: Buccal swab samples were collected from affected and non-affected sites of six patients with reticular OLP and the healthy oral mucosa of six control subjects. 16S rRNA gene MiSeq sequencing and mass spectrometry-based proteomics were utilised to identify the metataxonomic and metaproteomic profiles of the oral microbiome in both groups. Results: From the metataxonomic analysis, the most abundant species in the three subgroups were Streptococcus oralis and Pseudomonas aeruginosa, accounting for up to 70% of the total population. Principal Coordinates Analysis showed differential clustering of samples from the healthy and OLP groups. ANCOM-BC compositional analysis revealed multiple species (including P. aeruginosa and several species of Veillonella, Prevotella, Streptococcus and Neisseria) significantly over-represented in the control group and several (including Granulicatella elegans, Gemella haemolysans and G. parahaemolysans) in patients with OLP. The metaproteomic data were generally congruent and revealed that several Gemella haemolysans-belonging peptidases and other proteins with inflammatory and virulence potential were present in OLP lesions. Conclusion: Our data suggest that several bacterial species are associated with OLP. Future studies with larger cohorts should be conducted to determine their role in the aetiology of OLP and evaluate their potential as disease biomarkers.

Published
2023
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12. Analysis of DNA methylation at birth and in childhood reveals changes associated with season of birth and latitude

Author

Universitat Rovira i Virgili, Kadalayil, L; Alam, MZ; White, CH; Ghantous, A; Walton, E; Gruzieva, O; Merid, SK; Kumar, A; Roy, RP; Solomon, O; Huen, K; Eskenazi, B; Rzehak, P; Grote, V; Langhendries, JP; Verduci, E; Ferre, N; Gruszfeld, D; Gao, L; Guan, WH; Zeng, XH; Schisterman, EF; Dou, JF; Bakulski, KM; Feinberg, JI; Soomro, MH; Pesce, G; Baiz, N; Isaevska, E; Plusquin, M; Vafeiadi, M; Roumeliotaki, T; Langie, SAS; Standaert, A; Allard, C; Perron, P; Bouchard, L; van Meel, ER; Felix, JF; Jaddoe, VWV; Yousefi, PD; Ramlau-Hansen, CH; Relton, CL; Tobi, EW; Starling, AP; Yang, IV; Llambrich, M; Santorelli, G; Lepeule, J; Salas, LA; Bustamante, M; Ewart, SL; Zhang, HM; Karmaus, W; Röder, S; Zenclussen, AC; Jin, JP; Nystad, W; Page, CM; Magnus, M; Jima, DD; Hoyo, C; Maguire, RL; Kvist, T; Czamara, D; Räikkönen, K; Gong, T; Ullemar, V; Rifas-Shiman, SL; Oken, E; Almqvist, C; Karlsson, R; Lahti, J; Murphy, SK; Håberg, SE; London, S; Herberth, G; Arshad, H; Sunyer, J; Grazuleviciene, R; Dabelea, D; Steegers-Theunissen, RPM; Nohr, EA; Sorensen, TIA; Duijts, L; Hivert, MF; Nelen, V; Popovic, M; Kogevinas, M; Nawrot, TS; Herceg, Z; Annesi-Maesano, I; Fallin, MD; Yeung, EDA; Breton, CV; Koletzko, B; Holland, N; Wiemels, JL; Melén, E; Sharp, GC; Silver, MJ; Rezwan, F; Holloway, JW, Universitat Rovira i Virgili, and Kadalayil, L; Alam, MZ; White, CH; Ghantous, A; Walton, E; Gruzieva, O; Merid, SK; Kumar, A; Roy, RP; Solomon, O; Huen, K; Eskenazi, B; Rzehak, P; Grote, V; Langhendries, JP; Verduci, E; Ferre, N; Gruszfeld, D; Gao, L; Guan, WH; Zeng, XH; Schisterman, EF; Dou, JF; Bakulski, KM; Feinberg, JI; Soomro, MH; Pesce, G; Baiz, N; Isaevska, E; Plusquin, M; Vafeiadi, M; Roumeliotaki, T; Langie, SAS; Standaert, A; Allard, C; Perron, P; Bouchard, L; van Meel, ER; Felix, JF; Jaddoe, VWV; Yousefi, PD; Ramlau-Hansen, CH; Relton, CL; Tobi, EW; Starling, AP; Yang, IV; Llambrich, M; Santorelli, G; Lepeule, J; Salas, LA; Bustamante, M; Ewart, SL; Zhang, HM; Karmaus, W; Röder, S; Zenclussen, AC; Jin, JP; Nystad, W; Page, CM; Magnus, M; Jima, DD; Hoyo, C; Maguire, RL; Kvist, T; Czamara, D; Räikkönen, K; Gong, T; Ullemar, V; Rifas-Shiman, SL; Oken, E; Almqvist, C; Karlsson, R; Lahti, J; Murphy, SK; Håberg, SE; London, S; Herberth, G; Arshad, H; Sunyer, J; Grazuleviciene, R; Dabelea, D; Steegers-Theunissen, RPM; Nohr, EA; Sorensen, TIA; Duijts, L; Hivert, MF; Nelen, V; Popovic, M; Kogevinas, M; Nawrot, TS; Herceg, Z; Annesi-Maesano, I; Fallin, MD; Yeung, EDA; Breton, CV; Koletzko, B; Holland, N; Wiemels, JL; Melén, E; Sharp, GC; Silver, MJ; Rezwan, F; Holloway, JW

Abstract

Seasonal variations in environmental exposures at birth or during gestation are associated with numerous adult traits and health outcomes later in life. Whether DNA methylation (DNAm) plays a role in the molecular mechanisms underlying the associations between birth season and lifelong phenotypes remains unclear.We carried out epigenome-wide meta-analyses within the Pregnancy And Childhood Epigenetic Consortium to identify associations of DNAm with birth season, both at differentially methylated probes (DMPs) and regions (DMRs). Associations were examined at two time points: at birth (21 cohorts, N = 9358) and in children aged 1-11 years (12 cohorts, N = 3610). We conducted meta-analyses to assess the impact of latitude on birth season-specific associations at both time points.We identified associations between birth season and DNAm (False Discovery Rate-adjusted p values < 0.05) at two CpGs at birth (winter-born) and four in the childhood (summer-born) analyses when compared to children born in autumn. Furthermore, we identified twenty-six differentially methylated regions (DMR) at birth (winter-born: 8, spring-born: 15, summer-born: 3) and thirty-two in childhood (winter-born: 12, spring and summer: 10 each) meta-analyses with few overlapping DMRs between the birth seasons or the two time points. The DMRs were associated with genes of known functions in tumorigenesis, psychiatric/neurological disorders, inflammation, or immunity, amongst others. Latitude-stratified meta-analyses [higher (≥ 50°N), lower (< 50°N, northern hemisphere only)] revealed differences in associations between birth season and DNAm by birth latitude. DMR analysis implicated genes with previously reported links to schizophrenia (LAX1), skin disorders (PSORS1C, LTB4R), and airway inflammation inclu

Published
2023

15. Power Electronics Design Laboratory Exercise for Final-Year M.Sc. Students

Author

Max, L., Thiringer, T., Undeland, T., and Karlsson, R.

Abstract

This paper presents experiences and results from a project task in power electronics for students at Chalmers University of Technology, Goteborg, Sweden, based on a flyback test board. The board is used in the course Power Electronic Devices and Applications. In the project task, the students design snubber circuits, improve the control of the output voltage, improve the gate drive of the main MOSFET transistor and study the influence of stray inductance. The project goals (the circuit improvements) are given, but the procedure for solving the problems and obtaining the results is not specified. Instead the students have to make their own specification in order to reach the goals. "Tools" that are given to the students are the hardware, measurement equipment, an example of the circuit in the circuit simulation software PSpice, and lastly lectures covering the material needed in order to attain the project goals. The project design builds on the ideas from the CDIO (Conceive, Design, Implement, Operate) initiative, where students are encouraged to consider the complete process structure. The result found was a substantial engagement by the students, who had both positive and negative reactions. The negative reactions were mainly that the project specification was too vague, in other words in the (C=Conceive)-phase of the CDIO structure. Further, the teachers observed increased learning, which also was noticeable for the students performing their M.Sc. thesis within the power electronics design area. Finally, it was found that a final written exam is definitely still needed to assess students adequately in the course. (Contains 11 figures and 1 table.)

Published
2009
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16. Association Study between Polymorphisms in DNA Methylation-Related Genes and Testicular Germ Cell Tumor Risk

Author

Grasso, C., Popovic, M., Isaevska, E., Lazzarato, F., Fiano, V., Zugna, D., Pluta, J., Weathers, B., D'Andrea, K., Almstrup, K., Anson-Cartwright, L., Bishop, D.T., Chanock, S.J., Chen, C, Cortessis, V.K., Dalgaard, M.D., Daneshmand, S., Ferlin, A., Foresta, C., Frone, M.N., Gamulin, M., Gietema, J.A., Greene, M.H., Grotmol, T., Hamilton, R.J., Haugen, T.B., Hauser, R., Karlsson, R., Kiemeney, L.A.L.M., Lessel, D., Lista, P., Lothe, R.A., Loveday, C., Meijer, C., Nead, K.T., Nsengimana, J., Skotheim, R.I., Turnbull, C., Vaughn, D.J., Wiklund, F., Zheng, T., Zitella, A., Schwartz, S.M., McGlynn, K.A., Kanetsky, P.A., Nathanson, K.L., Richiardi, L., Grasso, C., Popovic, M., Isaevska, E., Lazzarato, F., Fiano, V., Zugna, D., Pluta, J., Weathers, B., D'Andrea, K., Almstrup, K., Anson-Cartwright, L., Bishop, D.T., Chanock, S.J., Chen, C, Cortessis, V.K., Dalgaard, M.D., Daneshmand, S., Ferlin, A., Foresta, C., Frone, M.N., Gamulin, M., Gietema, J.A., Greene, M.H., Grotmol, T., Hamilton, R.J., Haugen, T.B., Hauser, R., Karlsson, R., Kiemeney, L.A.L.M., Lessel, D., Lista, P., Lothe, R.A., Loveday, C., Meijer, C., Nead, K.T., Nsengimana, J., Skotheim, R.I., Turnbull, C., Vaughn, D.J., Wiklund, F., Zheng, T., Zitella, A., Schwartz, S.M., McGlynn, K.A., Kanetsky, P.A., Nathanson, K.L., and Richiardi, L.

Abstract

Item does not contain fulltext, BACKGROUND: Testicular germ cell tumors (TGCT), histologically classified as seminomas and nonseminomas, are believed to arise from primordial gonocytes, with the maturation process blocked when they are subjected to DNA methylation reprogramming. SNPs in DNA methylation machinery and folate-dependent one-carbon metabolism genes have been postulated to influence the proper establishment of DNA methylation. METHODS: In this pathway-focused investigation, we evaluated the association between 273 selected tag SNPs from 28 DNA methylation-related genes and TGCT risk. We carried out association analysis at individual SNP and gene-based level using summary statistics from the Genome Wide Association Study meta-analysis recently conducted by the international Testicular Cancer Consortium on 10,156 TGCT cases and 179,683 controls. RESULTS: In individual SNP analyses, seven SNPs, four mapping within MTHFR, were associated with TGCT risk after correction for multiple testing (q ≤ 0.05). Queries of public databases showed that three of these SNPs were associated with MTHFR changes in enzymatic activity (rs1801133) or expression level in testis tissue (rs12121543, rs1476413). Gene-based analyses revealed MTHFR (q = 8.4 × 10-4), methyl-CpG-binding protein 2 (MECP2; q = 2 × 10-3), and ZBTB4 (q = 0.03) as the top TGCT-associated genes. Stratifying by tumor histology, four MTHFR SNPs were associated with seminoma. In gene-based analysis MTHFR was associated with risk of seminoma (q = 2.8 × 10-4), but not with nonseminomatous tumors (q = 0.22). CONCLUSIONS: Genetic variants within MTHFR, potentially having an impact on the DNA methylation pattern, are associated with TGCT risk. IMPACT: This finding suggests that TGCT pathogenesis could be associated with the folate cycle status, and this relation could be partly due to hereditary factors.

Published
2022

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

Author

Wang, Zhe, Emmerich, A., Pillon, N.J., Moore, T., Hemerich, D., Cornelis, M.C., Mazzaferro, E., Broos, S., Ahluwalia, T.S., Bartz, T.M., Bentley, A.R., Bielak, L.F., Chong, M., Chu, A.Y., Berry, D., Dorajoo, R., Dueker, N.D., Kasbohm, E., Feenstra, B., Feitosa, M.F., Gieger, C., Graff, M, Hall, L.M., Haller, T., Hartwig, F.P., Hillis, D.A., Huikari, V., Heard-Costa, N., Holzapfel, C., Jackson, A.U., Johansson, Å., Jørgensen, A.M., Kaakinen, M.A., Karlsson, R., Kerr, K.F., Kim, Boram, Koolhaas, C.M., Kutalik, Z., Lagou, V., Lind, P.A., Lorentzon, M., Lyytikäinen, L.P., Mangino, M., Metzendorf, C., Monroe, K.R., Pacolet, A., Pérusse, L., Pool, R., Richmond, R.C., Rivera, N.V., Robiou-du-Pont, S., Schraut, K.E., Schulz, C.A., Stringham, H.M., Tanaka, T., Teumer, A., Turman, C., Most, P.J. van der, Vanmunster, M., Rooij, F.J. van, Vliet-Ostaptchouk, J.V. Van, Zhang, Xiaoshuai, Zhao, J.H., Zhao, W, Balkhiyarova, Z., Balslev-Harder, M.N., Baumeister, S.E., Beilby, J., Blangero, J., Boomsma, D.I., Brage, S., Braund, P.S., Brody, J.A., Bruinenberg, M., Ekelund, U., Liu, C.T., Cole, J.W., Collins, F.S., Cupples, L.A., Esko, T., Enroth, S., Faul, J.D., Fernandez-Rhodes, L., Fohner, A.E., Franco, O.H., Galesloot, T.E., Gordon, S.D.S., Grarup, N., Hartman, C.A., Heiss, G., Hui, J., Illig, T., Jago, R., James, A., Joshi, P.K., Jung, T., Kähönen, M., Kilpeläinen, T.O., Koh, W.P., Kolcic, I., Kiemeney, L.A.L.M., Loos, R.J.F., Hoed, Marcel Den, Wang, Zhe, Emmerich, A., Pillon, N.J., Moore, T., Hemerich, D., Cornelis, M.C., Mazzaferro, E., Broos, S., Ahluwalia, T.S., Bartz, T.M., Bentley, A.R., Bielak, L.F., Chong, M., Chu, A.Y., Berry, D., Dorajoo, R., Dueker, N.D., Kasbohm, E., Feenstra, B., Feitosa, M.F., Gieger, C., Graff, M, Hall, L.M., Haller, T., Hartwig, F.P., Hillis, D.A., Huikari, V., Heard-Costa, N., Holzapfel, C., Jackson, A.U., Johansson, Å., Jørgensen, A.M., Kaakinen, M.A., Karlsson, R., Kerr, K.F., Kim, Boram, Koolhaas, C.M., Kutalik, Z., Lagou, V., Lind, P.A., Lorentzon, M., Lyytikäinen, L.P., Mangino, M., Metzendorf, C., Monroe, K.R., Pacolet, A., Pérusse, L., Pool, R., Richmond, R.C., Rivera, N.V., Robiou-du-Pont, S., Schraut, K.E., Schulz, C.A., Stringham, H.M., Tanaka, T., Teumer, A., Turman, C., Most, P.J. van der, Vanmunster, M., Rooij, F.J. van, Vliet-Ostaptchouk, J.V. Van, Zhang, Xiaoshuai, Zhao, J.H., Zhao, W, Balkhiyarova, Z., Balslev-Harder, M.N., Baumeister, S.E., Beilby, J., Blangero, J., Boomsma, D.I., Brage, S., Braund, P.S., Brody, J.A., Bruinenberg, M., Ekelund, U., Liu, C.T., Cole, J.W., Collins, F.S., Cupples, L.A., Esko, T., Enroth, S., Faul, J.D., Fernandez-Rhodes, L., Fohner, A.E., Franco, O.H., Galesloot, T.E., Gordon, S.D.S., Grarup, N., Hartman, C.A., Heiss, G., Hui, J., Illig, T., Jago, R., James, A., Joshi, P.K., Jung, T., Kähönen, M., Kilpeläinen, T.O., Koh, W.P., Kolcic, I., Kiemeney, L.A.L.M., Loos, R.J.F., and Hoed, Marcel Den

Abstract

Contains fulltext : 282313.pdf (Publisher’s version ) (Open Access), Although physical activity and sedentary behavior are moderately heritable, little is known about the mechanisms that influence these traits. Combining data for up to 703,901 individuals from 51 studies in a multi-ancestry meta-analysis of genome-wide association studies yields 99 loci that associate with self-reported moderate-to-vigorous intensity physical activity during leisure time (MVPA), leisure screen time (LST) and/or sedentary behavior at work. Loci associated with LST are enriched for genes whose expression in skeletal muscle is altered by resistance training. A missense variant in ACTN3 makes the alpha-actinin-3 filaments more flexible, resulting in lower maximal force in isolated type II(A) muscle fibers, and possibly protection from exercise-induced muscle damage. Finally, Mendelian randomization analyses show that beneficial effects of lower LST and higher MVPA on several risk factors and diseases are mediated or confounded by body mass index (BMI). Our results provide insights into physical activity mechanisms and its role in disease prevention.

Published
2022

25. The impact of Mediterranean diet on coronary plaque vulnerability, microvascular function, inflammation and microbiome after an acute coronary syndrome: study protocol for the MEDIMACS randomized, controlled, mechanistic clinical trial

Author

Fernández AI, Bermejo J, Yotti R, Martínez-Gonzalez MÁ, Mira A, Gophna U, Karlsson R, Al-Daccak R, Martín-Demiguel I, Gutiérrez-Ibanes E, Charron D, Fernández-Avilés F, and MEDIMACS research team

Subjects
Immune system, Randomized controlled trial, Mediterranean diet, Microbiota, Omics, Atherosclerosis
Abstract

Background: Primary prevention trials have demonstrated that the traditional Mediterranean diet is associated with a reduction in cardiovascular mortality and morbidity. However, this benefit has not been proven for secondary prevention after an acute coronary syndrome (ACS). We hypothesized that a high-intensity Mediterranean diet intervention after an ACS decreases the vulnerability of atherosclerotic plaques by complex interactions between anti-inflammatory effects, microbiota changes and modulation of gene expression. Methods: The MEDIMACS project is an academically funded, prospective, randomized, controlled and mechanistic clinical trial designed to address the effects of an active randomized intervention with the Mediterranean diet on atherosclerotic plaque vulnerability, coronary endothelial dysfunction and other mechanistic endpoints. One hundred patients with ACS are randomized 1:1 to a monitored high-intensity Mediterranean diet intervention or to a standard-of-care arm. Adherence to diet is assessed in both arms using food frequency questionnaires and biomarkers of compliance. The primary endpoint is the change (from baseline to 12 months) in the thickness of the fibrous cap of a non-significant atherosclerotic plaque in a non-culprit vessel, as assessed by repeated optical coherence tomography intracoronary imaging. Indices of coronary vascular physiology and changes in gastrointestinal microbiota, immunological status and protein and metabolite profiles will be evaluated as secondary endpoints. Discussion: The results of this trial will address the key effects of dietary habits on atherosclerotic risk and will provide initial data on the complex interplay of immunological, microbiome-, proteome- and metabolome-related mechanisms by which non-pharmacological factors may impact the progression of coronary atherosclerosis after an ACS.

Published
2021

26. Genetic insights into biological mechanisms governing human ovarian ageing.

Author

Ruth K.S., Day F.R., Hussain J., Martinez-Marchal A., Aiken C.E., Azad A., Thompson D.J., Knoblochova L., Abe H., Tarry-Adkins J.L., Gonzalez J.M., Fontanillas P., Claringbould A., Bakker O.B., Sulem P., Walters R.G., Terao C., Turon S., Horikoshi M., Lin K., Onland-Moret N.C., Sankar A., Hertz E.P.T., Timshel P.N., Shukla V., Borup R., Olsen K.W., Aguilera P., Ferrer-Roda M., Huang Y., Stankovic S., Timmers P.R.H.J., Ahearn T.U., Alizadeh B.Z., Naderi E., Andrulis I.L., Arnold A.M., Aronson K.J., Augustinsson A., Bandinelli S., Barbieri C.M., Beaumont R.N., Becher H., Beckmann M.W., Benonisdottir S., Bergmann S., Bochud M., Boerwinkle E., Bojesen S.E., Bolla M.K., Boomsma D.I., Bowker N., Brody J.A., Broer L., Buring J.E., Campbell A., Campbell H., Castelao J.E., Catamo E., Chanock S.J., Chenevix-Trench G., Ciullo M., Corre T., Couch F.J., Cox A., Crisponi L., Cross S.S., Cucca F., Czene K., Smith G.D., de Geus E.J.C.N., de Mutsert R., De Vivo I., Demerath E.W., Dennis J., Dunning A.M., Dwek M., Eriksson M., Esko T., Fasching P.A., Faul J.D., Ferrucci L., Franceschini N., Frayling T.M., Gago-Dominguez M., Mezzavilla M., Garcia-Closas M., Gieger C., Giles G.G., Grallert H., Gudbjartsson D.F., Gudnason V., Guenel P., Haiman C.A., Hakansson N., Hall P., Hayward C., He C., He W., Heiss G., Hoffding M.K., Hopper J.L., Hottenga J.J., Hu F., Hunter D., Ikram M.A., Jackson R.D., Joaquim M.D.R., John E.M., Joshi P.K., Karasik D., Kardia S.L.R., Kartsonaki C., Karlsson R., Kitahara C.M., Kolcic I., Kooperberg C., Kraft P., Kurian A.W., Kutalik Z., La Bianca M., LaChance G., Langenberg C., Launer L.J., Laven J.S.E., Lawlor D.A., Le Marchand L., Li J., Lindblom A., Lindstrom S., Lindstrom T., Linet M., Liu Y.M., Liu S., Luan J., Magi R., Magnusson P.K.E., Mangino M., Mannermaa A., Marco B., Marten J., Martin N.G., Mbarek H., McKnight B., Medland S.E., Meisinger C., Meitinger T., Menni C., Metspalu A., Milani L., Milne R.L., Montgomery G.W., Mook-Kanamori D.O., Mulas A., Mulligan A.M., Nalls M.A., Newman A., Noordam R., Nutile T., Nyholt D.R., Olshan A.F., Olsson H., Painter J.N., Patel A.V., Pedersen N.L., Perjakova N., Peters A., Peters U., Pharoah P.D.P., Polasek O., Porcu E., Psaty B.M., Rahman I., Rennert G., Rennert H.S., Ridker P.M., Ring S.M., Robino A., Rose L.M., Rosendaal F.R., Rossouw J., Rudan I., Rueedi R., Ruggiero D., Sala C.F., Saloustros E., Sandler D.P., Sanna S., Sawyer E.J., Sarnowski C., Schlessinger D., Schmidt M.K., Schoemaker M.J., Schraut K.E., Scott C., Shekari S., Shrikhande A., Smith A.V., Smith B.H., Smith J.A., Sorice R., Southey M.C., Spector T.D., Spinelli J.J., Stampfer M., Stockl D., van Meurs J.B.J., Strauch K., Styrkarsdottir U., Swerdlow A.J., Tanaka T., Teras L.R., Teumer A., Thorsteinsdottir U., Timpson N.J., Toniolo D., Traglia M., Troester M.A., Truong T., Tyrrell J., Uitterlinden A.G., Ulivi S., Vachon C.M., Vitart V., Volker U., Vollenweider P., Volzke H., Wang Q., Wareham N.J., Weinberg C.R., Weir D.R., Wilcox A.N., van Dijk K.W., Willemsen G., Wilson J.F., Wolffenbuttel B.H.R., Wolk A., Wood A.R., Zhao W., Zygmunt M., Chen Z., Li L., Franke L., Burgess S., Deelen P., Pers T.H., Grondahl M.L., Andersen C.Y., Pujol A., Lopez-Contreras A.J., Daniel J.A., Stefansson K., Chang-Claude J., van der Schouw Y.T., Lunetta K.L., Chasman D.I., Easton D.F., Visser J.A., Ozanne S.E., Namekawa S.H., Solc P., Murabito J.M., Ong K.K., Hoffmann E.R., Murray A., Roig I., Perry J.R.B., Ruth K.S., Day F.R., Hussain J., Martinez-Marchal A., Aiken C.E., Azad A., Thompson D.J., Knoblochova L., Abe H., Tarry-Adkins J.L., Gonzalez J.M., Fontanillas P., Claringbould A., Bakker O.B., Sulem P., Walters R.G., Terao C., Turon S., Horikoshi M., Lin K., Onland-Moret N.C., Sankar A., Hertz E.P.T., Timshel P.N., Shukla V., Borup R., Olsen K.W., Aguilera P., Ferrer-Roda M., Huang Y., Stankovic S., Timmers P.R.H.J., Ahearn T.U., Alizadeh B.Z., Naderi E., Andrulis I.L., Arnold A.M., Aronson K.J., Augustinsson A., Bandinelli S., Barbieri C.M., Beaumont R.N., Becher H., Beckmann M.W., Benonisdottir S., Bergmann S., Bochud M., Boerwinkle E., Bojesen S.E., Bolla M.K., Boomsma D.I., Bowker N., Brody J.A., Broer L., Buring J.E., Campbell A., Campbell H., Castelao J.E., Catamo E., Chanock S.J., Chenevix-Trench G., Ciullo M., Corre T., Couch F.J., Cox A., Crisponi L., Cross S.S., Cucca F., Czene K., Smith G.D., de Geus E.J.C.N., de Mutsert R., De Vivo I., Demerath E.W., Dennis J., Dunning A.M., Dwek M., Eriksson M., Esko T., Fasching P.A., Faul J.D., Ferrucci L., Franceschini N., Frayling T.M., Gago-Dominguez M., Mezzavilla M., Garcia-Closas M., Gieger C., Giles G.G., Grallert H., Gudbjartsson D.F., Gudnason V., Guenel P., Haiman C.A., Hakansson N., Hall P., Hayward C., He C., He W., Heiss G., Hoffding M.K., Hopper J.L., Hottenga J.J., Hu F., Hunter D., Ikram M.A., Jackson R.D., Joaquim M.D.R., John E.M., Joshi P.K., Karasik D., Kardia S.L.R., Kartsonaki C., Karlsson R., Kitahara C.M., Kolcic I., Kooperberg C., Kraft P., Kurian A.W., Kutalik Z., La Bianca M., LaChance G., Langenberg C., Launer L.J., Laven J.S.E., Lawlor D.A., Le Marchand L., Li J., Lindblom A., Lindstrom S., Lindstrom T., Linet M., Liu Y.M., Liu S., Luan J., Magi R., Magnusson P.K.E., Mangino M., Mannermaa A., Marco B., Marten J., Martin N.G., Mbarek H., McKnight B., Medland S.E., Meisinger C., Meitinger T., Menni C., Metspalu A., Milani L., Milne R.L., Montgomery G.W., Mook-Kanamori D.O., Mulas A., Mulligan A.M., Nalls M.A., Newman A., Noordam R., Nutile T., Nyholt D.R., Olshan A.F., Olsson H., Painter J.N., Patel A.V., Pedersen N.L., Perjakova N., Peters A., Peters U., Pharoah P.D.P., Polasek O., Porcu E., Psaty B.M., Rahman I., Rennert G., Rennert H.S., Ridker P.M., Ring S.M., Robino A., Rose L.M., Rosendaal F.R., Rossouw J., Rudan I., Rueedi R., Ruggiero D., Sala C.F., Saloustros E., Sandler D.P., Sanna S., Sawyer E.J., Sarnowski C., Schlessinger D., Schmidt M.K., Schoemaker M.J., Schraut K.E., Scott C., Shekari S., Shrikhande A., Smith A.V., Smith B.H., Smith J.A., Sorice R., Southey M.C., Spector T.D., Spinelli J.J., Stampfer M., Stockl D., van Meurs J.B.J., Strauch K., Styrkarsdottir U., Swerdlow A.J., Tanaka T., Teras L.R., Teumer A., Thorsteinsdottir U., Timpson N.J., Toniolo D., Traglia M., Troester M.A., Truong T., Tyrrell J., Uitterlinden A.G., Ulivi S., Vachon C.M., Vitart V., Volker U., Vollenweider P., Volzke H., Wang Q., Wareham N.J., Weinberg C.R., Weir D.R., Wilcox A.N., van Dijk K.W., Willemsen G., Wilson J.F., Wolffenbuttel B.H.R., Wolk A., Wood A.R., Zhao W., Zygmunt M., Chen Z., Li L., Franke L., Burgess S., Deelen P., Pers T.H., Grondahl M.L., Andersen C.Y., Pujol A., Lopez-Contreras A.J., Daniel J.A., Stefansson K., Chang-Claude J., van der Schouw Y.T., Lunetta K.L., Chasman D.I., Easton D.F., Visser J.A., Ozanne S.E., Namekawa S.H., Solc P., Murabito J.M., Ong K.K., Hoffmann E.R., Murray A., Roig I., and Perry J.R.B.

Abstract

Reproductive longevity is essential for fertility and influences healthy ageing in women1,2, but insights into its underlying biological mechanisms and treatments to preserve it are limited. Here we identify 290 genetic determinants of ovarian ageing, assessed using normal variation in age at natural menopause (ANM) in about 200,000 women of European ancestry. These common alleles were associated with clinical extremes of ANM; women in the top 1% of genetic susceptibility have an equivalent risk of premature ovarian insufficiency to those carrying monogenic FMR1 premutations3. The identified loci implicate a broad range of DNA damage response (DDR) processes and include loss-of-function variants in key DDR-associated genes. Integration with experimental models demonstrates that these DDR processes act across the life-course to shape the ovarian reserve and its rate of depletion. Furthermore, we demonstrate that experimental manipulation of DDR pathways highlighted by human genetics increases fertility and extends reproductive life in mice. Causal inference analyses using the identified genetic variants indicate that extending reproductive life in women improves bone health and reduces risk of type 2 diabetes, but increases the risk of hormone-sensitive cancers. These findings provide insight into the mechanisms that govern ovarian ageing, when they act, and how they might be targeted by therapeutic approaches to extend fertility and prevent disease.Copyright © 2021, The Author(s), under exclusive licence to Springer Nature Limited.

Published
2021

27. Hospital simulation model optimisation with a random ReLU expansion surrogate model

Author

Bliek, L. (Laurens), Guijt, A. (Arthur), Karlsson, R. (Rickard), Bliek, L. (Laurens), Guijt, A. (Arthur), and Karlsson, R. (Rickard)

Abstract

The industrial challenge of the GECCO 2021 conference is an expensive optimisation problem, where the parameters of a hospital simulation model need to be tuned to optimality. We show how a surrogate-based optimisation framework, with a random ReLU expansion as the surrogate model, outperforms other methods such as Bayesian optimisation, Hyperopt, and random search on this problem.

Published
2021
Full Text
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28. Genetic insights into biological mechanisms governing human ovarian ageing

Author

Ruth, KS, Day, FR, Hussain, J, Martinez-Marchal, A, Aiken, CE, Azad, A, Thompson, DJ, Knoblochova, L, Abe, H, Tarry-Adkins, JL, Gonzalez, JM, Fontanillas, P, Claringbould, A, Bakker, OB, Sulem, P, Walters, RG, Terao, C, Turon, S, Horikoshi, M, Lin, K, Onland-Moret, NC, Sankar, A, Hertz, EPT, Timshel, PN, Shukla, V, Borup, R, Olsen, KW, Aguilera, P, Ferrer-Roda, M, Huang, Y, Stankovic, S, Timmers, PRHJ, Ahearn, TU, Alizadeh, BZ, Naderi, E, Andrulis, IL, Arnold, AM, Aronson, KJ, Augustinsson, A, Bandinelli, S, Barbieri, CM, Beaumont, RN, Becher, H, Beckmann, MW, Benonisdottir, S, Bergmann, S, Bochud, M, Boerwinkle, E, Bojesen, SE, Bolla, MK, Boomsma, DI, Bowker, N, Brody, JA, Broer, L, Buring, JE, Campbell, A, Campbell, H, Castelao, JE, Catamo, E, Chanock, SJ, Chenevix-Trench, G, Ciullo, M, Corre, T, Couch, FJ, Cox, A, Crisponi, L, Cross, SS, Cucca, F, Czene, K, Smith, GD, de Geus, EJCN, de Mutsert, R, De Vivo, I, Demerath, EW, Dennis, J, Dunning, AM, Dwek, M, Eriksson, M, Esko, T, Fasching, PA, Faul, JD, Ferrucci, L, Franceschini, N, Frayling, TM, Gago-Dominguez, M, Mezzavilla, M, Garcia-Closas, M, Gieger, C, Giles, GG, Grallert, H, Gudbjartsson, DF, Gudnason, V, Guenel, P, Haiman, CA, Hakansson, N, Hall, P, Hayward, C, He, C, He, W, Heiss, G, Hoffding, MK, Hopper, JL, Hottenga, JJ, Hu, F, Hunter, D, Ikram, MA, Jackson, RD, Joaquim, MDR, John, EM, Joshi, PK, Karasik, D, Kardia, SLR, Kartsonaki, C, Karlsson, R, Kitahara, CM, Kolcic, I, Kooperberg, C, Kraft, P, Kurian, AW, Kutalik, Z, La Bianca, M, LaChance, G, Langenberg, C, Launer, LJ, Laven, JSE, Lawlor, DA, Le Marchand, L, Li, J, Lindblom, A, Lindstrom, S, Lindstrom, T, Linet, M, Liu, Y, Liu, S, Luan, J, Magi, R, Magnusson, PKE, Mangino, M, Mannermaa, A, Marco, B, Marten, J, Martin, NG, Mbarek, H, McKnight, B, Medland, SE, Meisinger, C, Meitinger, T, Menni, C, Metspalu, A, Milani, L, Milne, RL, Montgomery, GW, Mook-Kanamori, DO, Mulas, A, Mulligan, AM, Murray, A, Nalls, MA, Newman, A, Noordam, R, Nutile, T, Nyholt, DR, Olshan, AF, Olsson, H, Painter, JN, Patel, AV, Pedersen, NL, Perjakova, N, Peters, A, Peters, U, Pharoah, PDP, Polasek, O, Porcu, E, Psaty, BM, Rahman, I, Rennert, G, Rennert, HS, Ridker, PM, Ring, SM, Robino, A, Rose, LM, Rosendaal, FR, Rossouw, J, Rudan, I, Rueedi, R, Ruggiero, D, Sala, CF, Saloustros, E, Sandler, DP, Sanna, S, Sawyer, EJ, Sarnowski, C, Schlessinger, D, Schmidt, MK, Schoemaker, MJ, Schraut, KE, Scott, C, Shekari, S, Shrikhande, A, Smith, AV, Smith, BH, Smith, JA, Sorice, R, Southey, MC, Spector, TD, Spinelli, JJ, Stampfer, M, Stoeckl, D, van Meurs, JBJ, Strauch, K, Styrkarsdottir, U, Swerdlow, AJ, Tanaka, T, Teras, LR, Teumer, A, thorsteinsdottir, U, Timpson, NJ, Toniolo, D, Traglia, M, Troester, MA, Truong, T, Tyrrell, J, Uitterlinden, AG, Ulivi, S, Vachon, CM, Vitart, V, Voelker, U, Vollenweider, P, Voelzke, H, Wang, Q, Wareham, NJ, Weinberg, CR, Weir, DR, Wilcox, AN, van Dijk, KW, Willemsen, G, Wilson, JF, Wolffenbuttel, BHR, Wolk, A, Wood, AR, Zhao, W, Zygmunt, M, Chen, Z, Li, L, Franke, L, Burgess, S, Deelen, P, Pers, TH, Grondahl, ML, Andersen, CY, Pujol, A, Lopez-Contreras, AJ, Daniel, JA, Stefansson, K, Chang-Claude, J, van der Schouw, YT, Lunetta, KL, Chasman, DI, Easton, DF, Visser, JA, Ozanne, SE, Namekawa, SH, Solc, P, Murabito, JM, Ong, KK, Hoffmann, ER, Roig, I, Perry, JRB, Ruth, KS, Day, FR, Hussain, J, Martinez-Marchal, A, Aiken, CE, Azad, A, Thompson, DJ, Knoblochova, L, Abe, H, Tarry-Adkins, JL, Gonzalez, JM, Fontanillas, P, Claringbould, A, Bakker, OB, Sulem, P, Walters, RG, Terao, C, Turon, S, Horikoshi, M, Lin, K, Onland-Moret, NC, Sankar, A, Hertz, EPT, Timshel, PN, Shukla, V, Borup, R, Olsen, KW, Aguilera, P, Ferrer-Roda, M, Huang, Y, Stankovic, S, Timmers, PRHJ, Ahearn, TU, Alizadeh, BZ, Naderi, E, Andrulis, IL, Arnold, AM, Aronson, KJ, Augustinsson, A, Bandinelli, S, Barbieri, CM, Beaumont, RN, Becher, H, Beckmann, MW, Benonisdottir, S, Bergmann, S, Bochud, M, Boerwinkle, E, Bojesen, SE, Bolla, MK, Boomsma, DI, Bowker, N, Brody, JA, Broer, L, Buring, JE, Campbell, A, Campbell, H, Castelao, JE, Catamo, E, Chanock, SJ, Chenevix-Trench, G, Ciullo, M, Corre, T, Couch, FJ, Cox, A, Crisponi, L, Cross, SS, Cucca, F, Czene, K, Smith, GD, de Geus, EJCN, de Mutsert, R, De Vivo, I, Demerath, EW, Dennis, J, Dunning, AM, Dwek, M, Eriksson, M, Esko, T, Fasching, PA, Faul, JD, Ferrucci, L, Franceschini, N, Frayling, TM, Gago-Dominguez, M, Mezzavilla, M, Garcia-Closas, M, Gieger, C, Giles, GG, Grallert, H, Gudbjartsson, DF, Gudnason, V, Guenel, P, Haiman, CA, Hakansson, N, Hall, P, Hayward, C, He, C, He, W, Heiss, G, Hoffding, MK, Hopper, JL, Hottenga, JJ, Hu, F, Hunter, D, Ikram, MA, Jackson, RD, Joaquim, MDR, John, EM, Joshi, PK, Karasik, D, Kardia, SLR, Kartsonaki, C, Karlsson, R, Kitahara, CM, Kolcic, I, Kooperberg, C, Kraft, P, Kurian, AW, Kutalik, Z, La Bianca, M, LaChance, G, Langenberg, C, Launer, LJ, Laven, JSE, Lawlor, DA, Le Marchand, L, Li, J, Lindblom, A, Lindstrom, S, Lindstrom, T, Linet, M, Liu, Y, Liu, S, Luan, J, Magi, R, Magnusson, PKE, Mangino, M, Mannermaa, A, Marco, B, Marten, J, Martin, NG, Mbarek, H, McKnight, B, Medland, SE, Meisinger, C, Meitinger, T, Menni, C, Metspalu, A, Milani, L, Milne, RL, Montgomery, GW, Mook-Kanamori, DO, Mulas, A, Mulligan, AM, Murray, A, Nalls, MA, Newman, A, Noordam, R, Nutile, T, Nyholt, DR, Olshan, AF, Olsson, H, Painter, JN, Patel, AV, Pedersen, NL, Perjakova, N, Peters, A, Peters, U, Pharoah, PDP, Polasek, O, Porcu, E, Psaty, BM, Rahman, I, Rennert, G, Rennert, HS, Ridker, PM, Ring, SM, Robino, A, Rose, LM, Rosendaal, FR, Rossouw, J, Rudan, I, Rueedi, R, Ruggiero, D, Sala, CF, Saloustros, E, Sandler, DP, Sanna, S, Sawyer, EJ, Sarnowski, C, Schlessinger, D, Schmidt, MK, Schoemaker, MJ, Schraut, KE, Scott, C, Shekari, S, Shrikhande, A, Smith, AV, Smith, BH, Smith, JA, Sorice, R, Southey, MC, Spector, TD, Spinelli, JJ, Stampfer, M, Stoeckl, D, van Meurs, JBJ, Strauch, K, Styrkarsdottir, U, Swerdlow, AJ, Tanaka, T, Teras, LR, Teumer, A, thorsteinsdottir, U, Timpson, NJ, Toniolo, D, Traglia, M, Troester, MA, Truong, T, Tyrrell, J, Uitterlinden, AG, Ulivi, S, Vachon, CM, Vitart, V, Voelker, U, Vollenweider, P, Voelzke, H, Wang, Q, Wareham, NJ, Weinberg, CR, Weir, DR, Wilcox, AN, van Dijk, KW, Willemsen, G, Wilson, JF, Wolffenbuttel, BHR, Wolk, A, Wood, AR, Zhao, W, Zygmunt, M, Chen, Z, Li, L, Franke, L, Burgess, S, Deelen, P, Pers, TH, Grondahl, ML, Andersen, CY, Pujol, A, Lopez-Contreras, AJ, Daniel, JA, Stefansson, K, Chang-Claude, J, van der Schouw, YT, Lunetta, KL, Chasman, DI, Easton, DF, Visser, JA, Ozanne, SE, Namekawa, SH, Solc, P, Murabito, JM, Ong, KK, Hoffmann, ER, Roig, I, and Perry, JRB

Abstract

Reproductive longevity is essential for fertility and influences healthy ageing in women1,2, but insights into its underlying biological mechanisms and treatments to preserve it are limited. Here we identify 290 genetic determinants of ovarian ageing, assessed using normal variation in age at natural menopause (ANM) in about 200,000 women of European ancestry. These common alleles were associated with clinical extremes of ANM; women in the top 1% of genetic susceptibility have an equivalent risk of premature ovarian insufficiency to those carrying monogenic FMR1 premutations3. The identified loci implicate a broad range of DNA damage response (DDR) processes and include loss-of-function variants in key DDR-associated genes. Integration with experimental models demonstrates that these DDR processes act across the life-course to shape the ovarian reserve and its rate of depletion. Furthermore, we demonstrate that experimental manipulation of DDR pathways highlighted by human genetics increases fertility and extends reproductive life in mice. Causal inference analyses using the identified genetic variants indicate that extending reproductive life in women improves bone health and reduces risk of type 2 diabetes, but increases the risk of hormone-sensitive cancers. These findings provide insight into the mechanisms that govern ovarian ageing, when they act, and how they might be targeted by therapeutic approaches to extend fertility and prevent disease.

Published
2021

29. Rare variant analysis in eczema identifies exonic variants in DUSP1, NOTCH4 and SLC9A4

Author

Grosche, S, Marenholz, I, Esparza-Gordillo, J, Arnau-Soler, A, Pairo-Castineira, E, Rueschendorf, F, Ahluwalia, TS, Almqvist, C, Arnold, A, Baurecht, H, Bisgaard, H, Bonnelykke, K, Brown, SJ, Bustamante, M, Curtin, JA, Custovic, A, Dharmage, SC, Esplugues, A, Falchi, M, Fernandez-Orth, D, Ferreira, MAR, Franke, A, Gerdes, S, Gieger, C, Hakonarson, H, Holt, PG, Homuth, G, Hubner, N, Hysi, PG, Jarvelin, M-R, Karlsson, R, Koppelman, GH, Lau, S, Lutz, M, Magnusson, PKE, Marks, GB, Mueller-Nurasyid, M, Noethen, MM, Paternoster, L, Pennell, CE, Peters, A, Rawlik, K, Robertson, CF, Rodriguez, E, Sebert, S, Simpson, A, Sleiman, PMA, Standl, M, Stoelzl, D, Strauch, K, Szwajda, A, Tenesa, A, Thompson, PJ, Ullemar, V, Visconti, A, Vonk, JM, Wang, CA, Weidinger, S, Wielscher, M, Worth, CL, Xu, C-J, Lee, Y-A, Grosche, S, Marenholz, I, Esparza-Gordillo, J, Arnau-Soler, A, Pairo-Castineira, E, Rueschendorf, F, Ahluwalia, TS, Almqvist, C, Arnold, A, Baurecht, H, Bisgaard, H, Bonnelykke, K, Brown, SJ, Bustamante, M, Curtin, JA, Custovic, A, Dharmage, SC, Esplugues, A, Falchi, M, Fernandez-Orth, D, Ferreira, MAR, Franke, A, Gerdes, S, Gieger, C, Hakonarson, H, Holt, PG, Homuth, G, Hubner, N, Hysi, PG, Jarvelin, M-R, Karlsson, R, Koppelman, GH, Lau, S, Lutz, M, Magnusson, PKE, Marks, GB, Mueller-Nurasyid, M, Noethen, MM, Paternoster, L, Pennell, CE, Peters, A, Rawlik, K, Robertson, CF, Rodriguez, E, Sebert, S, Simpson, A, Sleiman, PMA, Standl, M, Stoelzl, D, Strauch, K, Szwajda, A, Tenesa, A, Thompson, PJ, Ullemar, V, Visconti, A, Vonk, JM, Wang, CA, Weidinger, S, Wielscher, M, Worth, CL, Xu, C-J, and Lee, Y-A

Abstract

Previous genome-wide association studies revealed multiple common variants involved in eczema but the role of rare variants remains to be elucidated. Here, we investigate the role of rare variants in eczema susceptibility. We meta-analyze 21 study populations including 20,016 eczema cases and 380,433 controls. Rare variants are imputed with high accuracy using large population-based reference panels. We identify rare exonic variants in DUSP1, NOTCH4, and SLC9A4 to be associated with eczema. In DUSP1 and NOTCH4 missense variants are predicted to impact conserved functional domains. In addition, five novel common variants at SATB1-AS1/KCNH8, TRIB1/LINC00861, ZBTB1, TBX21/OSBPL7, and CSF2RB are discovered. While genes prioritized based on rare variants are significantly up-regulated in the skin, common variants point to immune cell function. Over 20% of the single nucleotide variant-based heritability is attributable to rare and low-frequency variants. The identified rare/low-frequency variants located in functional protein domains point to promising targets for novel therapeutic approaches to eczema.

Published
2021

30. Rare variant analysis in eczema identifies exonic variants in DUSP1, NOTCH4 and SLC9A4

Author

Grosche, S. (Sarah), Marenholz, I. (Ingo), Esparza-Gordillo, J. (Jorge), Arnau-Soler, A. (Aleix), Pairo-Castineira, E. (Erola), Rueschendorf, F. (Franz), Ahluwalia, T. S. (Tarunveer S.), Almqvist, C. (Catarina), Arnold, A. (Andreas), Baurecht, H. (Hansjoerg), Bisgaard, H. (Hans), Bonnelykke, K. (Klaus), Brown, S. J. (Sara J.), Bustamante, M. (Mariona), Curtin, J. A. (John A.), Custovic, A. (Adnan), Dharmage, S. C. (Shyamali C.), Esplugues, A. (Ana), Falchi, M. (Mario), Fernandez-Orth, D. (Dietmar), Ferreira, M. A. (Manuel A. R.), Franke, A. (Andre), Gerdes, S. (Sascha), Gieger, C. (Christian), Hakonarson, H. (Hakon), Holt, P. G. (Patrick G.), Homuth, G. (Georg), Hubner, N. (Norbert), Hysi, P. G. (Pirro G.), Järvelin, M.-R. (Marjo-Riitta), Karlsson, R. (Robert), Koppelman, G. H. (Gerard H.), Lau, S. (Susanne), Lutz, M. (Manuel), Magnusson, P. K. (Patrik K. E.), Marks, G. B. (Guy B.), Mueller-Nurasyid, M. (Martina), Noethen, M. M. (Markus M.), Paternoster, L. (Lavinia), Pennell, C. E. (Craig E.), Peters, A. (Annette), Rawlik, K. (Konrad), Robertson, C. F. (Colin F.), Rodriguez, E. (Elke), Sebert, S. (Sylvain), Simpson, A. (Angela), Sleiman, P. M. (Patrick M. A.), Standl, M. (Marie), Stoelzl, D. (Dora), Strauch, K. (Konstantin), Szwajda, A. (Agnieszka), Tenesa, A. (Albert), Thompson, P. J. (Philip J.), Ullemar, V. (Vilhelmina), Visconti, A. (Alessia), Vonk, J. M. (Judith M.), Wang, C. A. (Carol A.), Weidinger, S. (Stephan), Wielscher, M. (Matthias), Worth, C. L. (Catherine L.), Xu, C.-J. (Chen-Jian), Lee, Y.-A. (Young-Ae), Grosche, S. (Sarah), Marenholz, I. (Ingo), Esparza-Gordillo, J. (Jorge), Arnau-Soler, A. (Aleix), Pairo-Castineira, E. (Erola), Rueschendorf, F. (Franz), Ahluwalia, T. S. (Tarunveer S.), Almqvist, C. (Catarina), Arnold, A. (Andreas), Baurecht, H. (Hansjoerg), Bisgaard, H. (Hans), Bonnelykke, K. (Klaus), Brown, S. J. (Sara J.), Bustamante, M. (Mariona), Curtin, J. A. (John A.), Custovic, A. (Adnan), Dharmage, S. C. (Shyamali C.), Esplugues, A. (Ana), Falchi, M. (Mario), Fernandez-Orth, D. (Dietmar), Ferreira, M. A. (Manuel A. R.), Franke, A. (Andre), Gerdes, S. (Sascha), Gieger, C. (Christian), Hakonarson, H. (Hakon), Holt, P. G. (Patrick G.), Homuth, G. (Georg), Hubner, N. (Norbert), Hysi, P. G. (Pirro G.), Järvelin, M.-R. (Marjo-Riitta), Karlsson, R. (Robert), Koppelman, G. H. (Gerard H.), Lau, S. (Susanne), Lutz, M. (Manuel), Magnusson, P. K. (Patrik K. E.), Marks, G. B. (Guy B.), Mueller-Nurasyid, M. (Martina), Noethen, M. M. (Markus M.), Paternoster, L. (Lavinia), Pennell, C. E. (Craig E.), Peters, A. (Annette), Rawlik, K. (Konrad), Robertson, C. F. (Colin F.), Rodriguez, E. (Elke), Sebert, S. (Sylvain), Simpson, A. (Angela), Sleiman, P. M. (Patrick M. A.), Standl, M. (Marie), Stoelzl, D. (Dora), Strauch, K. (Konstantin), Szwajda, A. (Agnieszka), Tenesa, A. (Albert), Thompson, P. J. (Philip J.), Ullemar, V. (Vilhelmina), Visconti, A. (Alessia), Vonk, J. M. (Judith M.), Wang, C. A. (Carol A.), Weidinger, S. (Stephan), Wielscher, M. (Matthias), Worth, C. L. (Catherine L.), Xu, C.-J. (Chen-Jian), and Lee, Y.-A. (Young-Ae)

Abstract

Previous genome-wide association studies revealed multiple common variants involved in eczema but the role of rare variants remains to be elucidated. Here, we investigate the role of rare variants in eczema susceptibility. We meta-analyze 21 study populations including 20,016 eczema cases and 380,433 controls. Rare variants are imputed with high accuracy using large population-based reference panels. We identify rare exonic variants in DUSP1, NOTCH4, and SLC9A4 to be associated with eczema. In DUSP1 and NOTCH4 missense variants are predicted to impact conserved functional domains. In addition, five novel common variants at SATB1-AS1/KCNH8, TRIB1/LINC00861, ZBTB1, TBX21/OSBPL7, and CSF2RB are discovered. While genes prioritized based on rare variants are significantly up-regulated in the skin, common variants point to immune cell function. Over 20% of the single nucleotide variant-based heritability is attributable to rare and low-frequency variants. The identified rare/low-frequency variants located in functional protein domains point to promising targets for novel therapeutic approaches to eczema.

Published
2021

31. Rare variant analysis in eczema identifies exonic variants in DUSP1, NOTCH4 and SLC9A4

Author

Grosche, S. (Sarah), Marenholz, I. (Ingo), Esparza-Gordillo, J. (Jorge), Arnau-Soler, A. (Aleix), Pairo-Castineira, E. (Erola), Rueschendorf, F. (Franz), Ahluwalia, T. S. (Tarunveer S.), Almqvist, C. (Catarina), Arnold, A. (Andreas), Baurecht, H. (Hansjoerg), Bisgaard, H. (Hans), Bonnelykke, K. (Klaus), Brown, S. J. (Sara J.), Bustamante, M. (Mariona), Curtin, J. A. (John A.), Custovic, A. (Adnan), Dharmage, S. C. (Shyamali C.), Esplugues, A. (Ana), Falchi, M. (Mario), Fernandez-Orth, D. (Dietmar), Ferreira, M. A. (Manuel A. R.), Franke, A. (Andre), Gerdes, S. (Sascha), Gieger, C. (Christian), Hakonarson, H. (Hakon), Holt, P. G. (Patrick G.), Homuth, G. (Georg), Hubner, N. (Norbert), Hysi, P. G. (Pirro G.), Järvelin, M.-R. (Marjo-Riitta), Karlsson, R. (Robert), Koppelman, G. H. (Gerard H.), Lau, S. (Susanne), Lutz, M. (Manuel), Magnusson, P. K. (Patrik K. E.), Marks, G. B. (Guy B.), Mueller-Nurasyid, M. (Martina), Noethen, M. M. (Markus M.), Paternoster, L. (Lavinia), Pennell, C. E. (Craig E.), Peters, A. (Annette), Rawlik, K. (Konrad), Robertson, C. F. (Colin F.), Rodriguez, E. (Elke), Sebert, S. (Sylvain), Simpson, A. (Angela), Sleiman, P. M. (Patrick M. A.), Standl, M. (Marie), Stoelzl, D. (Dora), Strauch, K. (Konstantin), Szwajda, A. (Agnieszka), Tenesa, A. (Albert), Thompson, P. J. (Philip J.), Ullemar, V. (Vilhelmina), Visconti, A. (Alessia), Vonk, J. M. (Judith M.), Wang, C. A. (Carol A.), Weidinger, S. (Stephan), Wielscher, M. (Matthias), Worth, C. L. (Catherine L.), Xu, C.-J. (Chen-Jian), Lee, Y.-A. (Young-Ae), and Groningen Research Institute for Asthma and COPD (GRIAC)

Subjects
Sodium-Hydrogen Exchangers, Genotype, Eczema, Gene Expression, Genetic predisposition to disease, Dual Specificity Phosphatase 1, Rare variants, Matrix Attachment Region Binding Proteins, Polymorphism, Single Nucleotide, Genome-wide association studies, Article, Cytokine Receptor Common beta Subunit, Skin diseases, Rare Diseases, Cardiovascular and Metabolic Diseases, Humans, Receptor, Notch4, Genome-Wide Association Study, Atopic dermatitis
Abstract

Previous genome-wide association studies revealed multiple common variants involved in eczema but the role of rare variants remains to be elucidated. Here, we investigate the role of rare variants in eczema susceptibility. We meta-analyze 21 study populations including 20,016 eczema cases and 380,433 controls. Rare variants are imputed with high accuracy using large population-based reference panels. We identify rare exonic variants in DUSP1, NOTCH4, and SLC9A4 to be associated with eczema. In DUSP1 and NOTCH4 missense variants are predicted to impact conserved functional domains. In addition, five novel common variants at SATB1-AS1/KCNH8, TRIB1/LINC00861, ZBTB1, TBX21/OSBPL7, and CSF2RB are discovered. While genes prioritized based on rare variants are significantly up-regulated in the skin, common variants point to immune cell function. Over 20% of the single nucleotide variant-based heritability is attributable to rare and low-frequency variants. The identified rare/low-frequency variants located in functional protein domains point to promising targets for novel therapeutic approaches to eczema., Genetic studies of eczema to date have mostly explored common genetic variation. Here, the authors perform a large meta-analysis for common and rare variants and discover 8 loci associated with eczema. Over 20% of the heritability of the condition is attributable to rare variants.

Published
2020

35. Discovery of Species-unique Peptide Biomarkers of Bacterial Pathogens by Tandem Mass Spectrometry-based Proteotyping

Author

Karlsson, R., Thorsell, A., Gomila, M., Salvà-Serra, F., Jakobsson, H.E., Gonzales-Siles, L., Jaén-Luchoro, D., Skovbjerg, S., Fuchs, J., Karlsson, A., Boulund, F., Johnning, A., Kristiansson, E., Moore, E.R.B., and Publica

Abstract

Mass spectrometry (MS) and proteomics offer comprehensive characterization and identification of microorganisms and discovery of protein biomarkers that are applicable for diagnostics of infectious diseases. The use of biomarkers for diagnostics is widely applied in the clinic and the use of peptide biomarkers is increasingly being investigated for applications in the clinical laboratory. Respiratory-tract infections are a predominant cause for medical treatment, although, clinical assessments and standard clinical laboratory protocols are time-consuming and often inadequate for reliable diagnoses. Novel methods, preferably applied directly to clinical samples, excluding cultivation steps, are needed to improve diagnostics of infectious diseases, provide adequate treatment and reduce the use of antibiotics and associated development of antibiotic resistance. This study applied nano-liquid chromatography (LC) coupled with tandem MS, with a bioinformatics pipeline and an in-house database of curated high-quality reference genome sequences to identify species-unique peptides as potential biomarkers for four bacterial pathogens commonly found in respiratory tract infections (RTIs): Staphylococcus aureus; Moraxella catarrhalis; Haemophilus influenzae and Streptococcus pneumoniae. The species-unique peptides were initially identified in pure cultures of bacterial reference strains, reflecting the genomic variation in the four species and, furthermore, in clinical respiratory tract samples, without prior cultivation, elucidating proteins expressed in clinical conditions of infection. For each of the four bacterial pathogens, the peptide biomarker candidates most predominantly found in clinical samples, are presented. Data are available via ProteomeXchange with identifier PXD014522. As proof-of-principle, the most promising species-unique peptides were applied in targeted tandem MS-analyses of clinical samples and their relevance for identifications of the pathogens, i.e. proteotyping, was validated, thus demonstrating their potential as peptide biomarker candidates for diagnostics of infectious diseases.

Published
2020

37. DNA methylation and body mass index from birth to adolescence: meta-analyses of epigenome-wide association studies

Author

Vehmeijer, F.O.L. (Florianne O.L.), Küpers, A.M. (Marlijn), Sharp, G.C. (Gemma C.), Salas, L.A. (Lucas A.), Lent, S. (Samantha), Jima, D.D. (Dereje D.), Tindula, G. (Gwen), Reese, S.E. (Sarah E.), Qi, C. (Cancan), Gruzieva, O. (Olena), Page, C. (Christian), Rezwan, F.I. (Faisal I.), Melton, P.E. (Philip E.), Nohr, C. (Christian), Escaramís, G. (Geòrgia), Rzehak, P. (Peter), Heiskala, A. (Anni), Gong, T. (Tong), Tuominen, S.T. (Samuli T.), Gao, L. (Lu), Ross, J.P. (Jason P.), Starling, A.P. (Anne P.), Holloway, J.W. (John W.), Yousefi, P. (Paul), Aasvang, G.M. (Gunn Marit), Beilin, L.J. (Lawrence), Bergström, A. (Anna), Binder, E.B. (Elisabeth), Chatzi, L. (Leda), Corpeleijn, E. (Eva), Czamara, D. (Darina), Eskenazi, B. (B.), Ewart, S. (Susan), Ferre, N. (Natalia), Grote, V. (Veit), Gruszfeld, D. (Dariusz), Håberg, S.E. (Siri E), Hoyo, C. (Cathrine), Huen, K. (Karen), Karlsson, R. (Robert), Kull, C.A. (Christian), Langhendries, J.P. (Jean Paul), Lepeule, J. (Johanna), Magnus, M.C. (Maria C.), Maguire, R.L. (Rachel L.), Molloy, P.L. (Peter L.), Poppelaars-Monnereau, C. (Claire), Mori, T.A. (Trevor A.), Oken, E. (Emily), Räikkönen, K. (Katri), Rifas-Shiman, S.L. (Sheryl), Ruiz-Arenas, C. (Carlos), Sebert, S. (Sylvain), Ullemar, V. (Vilhelmina), Verduci, E. (Elvira), Vonk, J.M. (Judith), Xu, C.-J. (Cheng-Jian), Yang, I.V. (Ivana V.), Zhang, H. (Hongmei), Zhang, W. (Weiming), Karmaus, W. (Wilfried), Dabelea, D. (Dana), Muhlhausler, B.S. (Beverly S.), Breton, C. (Carrie), Lahti, J. (Jari), Almqvist, C. (Catarina), Jarvelin, M.-R. (Marjo-Riitta), Koletzko, B. (Berthold), Vrijheid, M. (Martine), Sørensen, T.I.A. (Thorkild), Huang, R.-C. (Rae-Chi), Arshad, S.H. (Syed), Nystad, W. (Wenche), Melén, E. (Erik), Koppelman, G.H. (Gerard), London, S.J. (Stephanie J.), Holland, N. (Nina), Bustamante, M. (Mariona), Murphy, S.K. (Susan K.), Hivert, M.-F. (Marie-France), Baccarelli, A.A. (Andrea), Relton, C.L. (Caroline), Snieder, H. (Harold), Jaddoe, V.W.V. (Vincent), Felix, J.F. (Janine), Vehmeijer, F.O.L. (Florianne O.L.), Küpers, A.M. (Marlijn), Sharp, G.C. (Gemma C.), Salas, L.A. (Lucas A.), Lent, S. (Samantha), Jima, D.D. (Dereje D.), Tindula, G. (Gwen), Reese, S.E. (Sarah E.), Qi, C. (Cancan), Gruzieva, O. (Olena), Page, C. (Christian), Rezwan, F.I. (Faisal I.), Melton, P.E. (Philip E.), Nohr, C. (Christian), Escaramís, G. (Geòrgia), Rzehak, P. (Peter), Heiskala, A. (Anni), Gong, T. (Tong), Tuominen, S.T. (Samuli T.), Gao, L. (Lu), Ross, J.P. (Jason P.), Starling, A.P. (Anne P.), Holloway, J.W. (John W.), Yousefi, P. (Paul), Aasvang, G.M. (Gunn Marit), Beilin, L.J. (Lawrence), Bergström, A. (Anna), Binder, E.B. (Elisabeth), Chatzi, L. (Leda), Corpeleijn, E. (Eva), Czamara, D. (Darina), Eskenazi, B. (B.), Ewart, S. (Susan), Ferre, N. (Natalia), Grote, V. (Veit), Gruszfeld, D. (Dariusz), Håberg, S.E. (Siri E), Hoyo, C. (Cathrine), Huen, K. (Karen), Karlsson, R. (Robert), Kull, C.A. (Christian), Langhendries, J.P. (Jean Paul), Lepeule, J. (Johanna), Magnus, M.C. (Maria C.), Maguire, R.L. (Rachel L.), Molloy, P.L. (Peter L.), Poppelaars-Monnereau, C. (Claire), Mori, T.A. (Trevor A.), Oken, E. (Emily), Räikkönen, K. (Katri), Rifas-Shiman, S.L. (Sheryl), Ruiz-Arenas, C. (Carlos), Sebert, S. (Sylvain), Ullemar, V. (Vilhelmina), Verduci, E. (Elvira), Vonk, J.M. (Judith), Xu, C.-J. (Cheng-Jian), Yang, I.V. (Ivana V.), Zhang, H. (Hongmei), Zhang, W. (Weiming), Karmaus, W. (Wilfried), Dabelea, D. (Dana), Muhlhausler, B.S. (Beverly S.), Breton, C. (Carrie), Lahti, J. (Jari), Almqvist, C. (Catarina), Jarvelin, M.-R. (Marjo-Riitta), Koletzko, B. (Berthold), Vrijheid, M. (Martine), Sørensen, T.I.A. (Thorkild), Huang, R.-C. (Rae-Chi), Arshad, S.H. (Syed), Nystad, W. (Wenche), Melén, E. (Erik), Koppelman, G.H. (Gerard), London, S.J. (Stephanie J.), Holland, N. (Nina), Bustamante, M. (Mariona), Murphy, S.K. (Susan K.), Hivert, M.-F. (Marie-France), Baccarelli, A.A. (Andrea), Relton, C.L. (Caroline), Snieder, H. (Harold), Jaddoe, V.W.V. (Vincent), and Felix, J.F. (Janine)

Abstract

Background: DNA methylation has been shown to be associated with adiposity in adulthood. However, whether similar DNA methylation patterns are associated with childhood and adolescent body mass index (BMI) is largely unknown. More insight into this relationship at younger ages may have implications for future prevention of obesity and its related traits. Methods: We examined whether DNA methylation in cord blood and whole blood in childhood and adolescence was associated with BMI in the age range from 2 to 18 years using both cross-sectional and longitudinal models. We performed meta-analyses of epigenome-wide association studies including up to 4133 children from 23 studies. We examined the overlap of findings reported in previous studies in children and adults with those in our analyses and calculated enrichment. Results: DNA methylation at three CpGs (cg05937453, cg25212453, and cg10040131), each in a different age range, was associated with BMI at Bonferroni significance, P < 1.06 × 10−7, with a 0.96 standard deviation score (SDS) (standard error (SE) 0.17), 0.32 SDS (SE 0.06), and 0.32 BMI SDS (SE 0.06) higher BMI per 10% increase in methylation, respectively. DNA methylation at nine additional CpGs in the cross-sectional childhood model was associated with BMI at false discovery rate significance. The strength of the associations of DNA methylation at the 187 CpGs previously identified to be associated with adult BMI, increased with advancing age across childhood and adolescence in our analyses. In addition, correlation coefficients between effect estimates for those CpGs in adults and in children and adolescents also increased. Among the top findings for each age range, we observed increasing enrichment for the CpGs that were previously identified in adults (birth Penrichment = 1; childhood Penrichment = 2.00 × 10−4; adolescence Penrichment = 2.10 × 10−7). Conclusions: There were only minimal associations of DNA methylation with childhood and adolescent BMI.

Published
2020
Full Text
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38. Genome-wide Association Analysis in Humans Links Nucleotide Metabolism to Leukocyte Telomere Length

Author

Li, C. (Chen), Stoma, S. (Svetlana), Lotta, L.A. (Luca A.), Warner, S. (Sophie), Albrecht, E. (Eva), Allione, A. (Alessandra), Arp, P.P. (Pascal), Broer, L. (Linda), Buxton, J.L. (Jessica L.), Da Silva Couto Alves, A. (Alexessander), Deelen, J. (Joris), Fedko, I.O. (Iryna O.), Gordon, S.D. (Scott D.), Jiang, T. (Tao), Karlsson, R. (Robert), Kerrison, N. (Nicola), Loe, T.K. (Taylor K.), Mangino, M. (Massimo), Milaneschi, Y. (Yuri), Miraglio, B. (Benjamin), Pervjakova, N. (Natalia), Russo, A. (Alessia), Surakka, I. (Ida), Spek, A. (Ashley) van der, Verhoeven, J.E. (Josine E.), Amin, N. (Najaf), Beekman, M. (Marian), Blakemore, A.I. (Alexandra I.), Canzian, F. (Federico), Hamby, S.E. (Stephen E.), Hottenga, J.J. (Jouke Jan), Jones, P.D. (Peter D.), Jousilahti, P. (Pekka), Mägi, R. (Reedik), Medland, S.E. (Sarah), Montgomery, G.W. (Grant), Nyholt, D.R. (Dale), Perola, M. (Markus), Pietilainen, K.H. (Kirsi Hannele), Salomaa, V. (Veikko), Sillanpää, E. (Elina), Suchiman, H.E. (H. Eka), Heemst, D. (Diana) van, Willemsen, G. (Gonneke), Agudo, A. (Antonio), Boeing, H. (Heiner), Boomsma, D.I. (Dorret), Chirlaque, M.D. (M.), Fagherazzi, G. (Guy), Ferrari, P. (Pietro), Franks, P. (Paul), Gieger, C. (Christian), Hagen, K. (Knut), Gunter, M.J. (Marc J.), Hägg, S. (Sara), Hovatta, I. (Iiris), Imaz, L. (Liher), Kaprio, J. (Jaakko), Kaaks, R. (Rudolf), Key, T. (Tim), Krogh, V. (Vittorio), Martin, N.G. (Nicholas), Melander, O. (Olle), Metspalu, A. (Andres), Moreno, C. (Concha), Onland-Moret, N.C. (N. Charlotte), Nilsson, P. (Peter), Ong, K.K. (Ken K.), Overvad, K. (Kim), Palli, D. (Domenico), Panico, S. (Salvatore), Pedersen, N.L. (Nancy), Penninx, B.W.J.H. (Brenda), Quirós, J.R., Jarvelin, M.R. (Marjo Riitta), Rodríguez-Barranco, M. (Miguel), Scott, R.A. (Robert A.), Severi, G. (Gianluca), Slagboom, P.E. (Eline), Spector, T.D. (Timothy), Tjønneland, A. (Anne), Trichopoulou, A. (Antonia), Tumino, R. (Rosario), Uitterlinden, A.G. (André G.), Schouw, Y.T. (Yvonne) van der, Duijn, C.M. (Cornelia) van, Weiderpass, E. (Elisabete), Denchi, E.L. (Eros Lazzerini), Matullo, G., Butterworth, A.S. (Adam S.), Danesh, J. (John), Samani, N.J. (Nilesh), Wareham, N.J. (Nick), Nelson, C.P. (Christopher P.), Langenberg, C. (Claudia), Codd, V. (Veryan), Li, C. (Chen), Stoma, S. (Svetlana), Lotta, L.A. (Luca A.), Warner, S. (Sophie), Albrecht, E. (Eva), Allione, A. (Alessandra), Arp, P.P. (Pascal), Broer, L. (Linda), Buxton, J.L. (Jessica L.), Da Silva Couto Alves, A. (Alexessander), Deelen, J. (Joris), Fedko, I.O. (Iryna O.), Gordon, S.D. (Scott D.), Jiang, T. (Tao), Karlsson, R. (Robert), Kerrison, N. (Nicola), Loe, T.K. (Taylor K.), Mangino, M. (Massimo), Milaneschi, Y. (Yuri), Miraglio, B. (Benjamin), Pervjakova, N. (Natalia), Russo, A. (Alessia), Surakka, I. (Ida), Spek, A. (Ashley) van der, Verhoeven, J.E. (Josine E.), Amin, N. (Najaf), Beekman, M. (Marian), Blakemore, A.I. (Alexandra I.), Canzian, F. (Federico), Hamby, S.E. (Stephen E.), Hottenga, J.J. (Jouke Jan), Jones, P.D. (Peter D.), Jousilahti, P. (Pekka), Mägi, R. (Reedik), Medland, S.E. (Sarah), Montgomery, G.W. (Grant), Nyholt, D.R. (Dale), Perola, M. (Markus), Pietilainen, K.H. (Kirsi Hannele), Salomaa, V. (Veikko), Sillanpää, E. (Elina), Suchiman, H.E. (H. Eka), Heemst, D. (Diana) van, Willemsen, G. (Gonneke), Agudo, A. (Antonio), Boeing, H. (Heiner), Boomsma, D.I. (Dorret), Chirlaque, M.D. (M.), Fagherazzi, G. (Guy), Ferrari, P. (Pietro), Franks, P. (Paul), Gieger, C. (Christian), Hagen, K. (Knut), Gunter, M.J. (Marc J.), Hägg, S. (Sara), Hovatta, I. (Iiris), Imaz, L. (Liher), Kaprio, J. (Jaakko), Kaaks, R. (Rudolf), Key, T. (Tim), Krogh, V. (Vittorio), Martin, N.G. (Nicholas), Melander, O. (Olle), Metspalu, A. (Andres), Moreno, C. (Concha), Onland-Moret, N.C. (N. Charlotte), Nilsson, P. (Peter), Ong, K.K. (Ken K.), Overvad, K. (Kim), Palli, D. (Domenico), Panico, S. (Salvatore), Pedersen, N.L. (Nancy), Penninx, B.W.J.H. (Brenda), Quirós, J.R., Jarvelin, M.R. (Marjo Riitta), Rodríguez-Barranco, M. (Miguel), Scott, R.A. (Robert A.), Severi, G. (Gianluca), Slagboom, P.E. (Eline), Spector, T.D. (Timothy), Tjønneland, A. (Anne), Trichopoulou, A. (Antonia), Tumino, R. (Rosario), Uitterlinden, A.G. (André G.), Schouw, Y.T. (Yvonne) van der, Duijn, C.M. (Cornelia) van, Weiderpass, E. (Elisabete), Denchi, E.L. (Eros Lazzerini), Matullo, G., Butterworth, A.S. (Adam S.), Danesh, J. (John), Samani, N.J. (Nilesh), Wareham, N.J. (Nick), Nelson, C.P. (Christopher P.), Langenberg, C. (Claudia), and Codd, V. (Veryan)

Abstract

Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) < 0.05 threshold and prioritize genes at 31, with five highlighting nucleotide metabolism as an important regulator of LTL. We report six genome-wide significant loci in or near SENP7, MOB1B, CARMIL1, PRRC2A, TERF2, and RFWD3, and our results support recently identified PARP1, POT1, ATM, and MPHOSPH6 loci. Phenome-wide analyses in >350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease.

Published
2020
Full Text
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39. Childhood Adoption and Mental Health in Adulthood: The Role of Gene-Environment Correlations and Interactions in the UK Biobank

Author

Lehto, K, Hagg, S, Lu, D, Karlsson, R, Pedersen, NL, Mosing, MA, Lehto, K, Hagg, S, Lu, D, Karlsson, R, Pedersen, NL, and Mosing, MA

Abstract

BACKGROUND: Being adopted early in life, an indicator of exposure to early-life adversity, has been consistently associated with poor mental health outcomes in adulthood. Such associations have largely been attributed to stressful environments, e.g., exposure to trauma, abuse, or neglect. However, mental health is substantially heritable, and genetic influences may contribute to the exposure to childhood adversity, resulting in potential genetic confounding of such associations. METHODS: Here, we explored associations between childhood adoption and mental health-related outcomes in midlife in 243,797 UK Biobank participants (n adopted = 3151). We used linkage disequilibrium score regression and polygenic risk scores for depressive symptoms, schizophrenia, neuroticism, and subjective well-being to address potential genetic confounding (gene-environment correlations) and gene-environment interactions. As outcomes, we explored depressive symptoms, bipolar disorder, neuroticism, loneliness, and mental health-related socioeconomic and psychosocial measures in adoptees compared with nonadopted participants. RESULTS: Adoptees were slightly worse off on almost all mental, socioeconomic, and psychosocial measures. Each standard deviation increase in polygenic risk for depressive symptoms, schizophrenia, and neuroticism was associated with 6%, 5%, and 6% increase in the odds of being adopted, respectively. Significant genetic correlations between adoption status and depressive symptoms, major depression, and schizophrenia were observed. No evidence for gene-environment interaction between genetic risk and adoption on mental health was found. CONCLUSIONS: The association between childhood adoption and mental health cannot fully be attributed to stressful environments but is partly explained by differences in genetic risk between adoptees and those who have not been adopted (i.e., gene-environment correlation).

Published
2020

40. Genome-wide Association Analysis in Humans Links Nucleotide Metabolism to Leukocyte Telomere Length

Author

Li, C, Stoma, S, Lotta, LA, Warner, S, Albrecht, E, Allione, A, Arp, PP, Broer, L, Buxton, JL, Alves, ADSC, Deelen, J, Fedko, IO, Gordon, SD, Jiang, T, Karlsson, R, Kerrison, N, Loe, TK, Mangino, M, Milaneschi, Y, Miraglio, B, Pervjakova, N, Russo, A, Surakka, I, van der Spek, A, Verhoeven, JE, Amin, N, Beekman, M, Blakemore, A, Canzian, F, Hamby, SE, Hottenga, J-J, Jones, PD, Jousilahti, P, Magi, R, Medland, SE, Montgomery, GW, Nyholt, DR, Perola, M, Pietilainen, KH, Salomaa, V, Sillanpaa, E, Suchiman, HE, van Heemst, D, Willemsen, G, Agudo, A, Boeing, H, Boomsma, D, Chirlaque, M-D, Fagherazzi, G, Ferrari, P, Franks, P, Gieger, C, Eriksson, JG, Gunter, M, Hagg, S, Hovatta, I, Imaz, L, Kaprio, J, Kaaks, R, Key, T, Krogh, V, Martin, NG, Melander, O, Metspalu, A, Moreno, C, Onland-Moret, NC, Nilsson, P, Ong, KK, Overvad, K, Palli, D, Panico, S, Pedersen, NL, Penninx, BWJH, Ramon Quiros, J, Riitta Jarvelin, M, Rodriguez-Barranco, M, Scott, RA, Severi, G, Slagboom, PE, Spector, TD, Tjonneland, A, Trichopoulou, A, Tumino, R, Uitterlinden, AG, van der Schouw, YT, van Duijn, CM, Weiderpass, E, Denchi, EL, Matullo, G, Butterworth, AS, Danesh, J, Samani, NJ, Wareham, NJ, Nelson, CP, Langenberg, C, Codd, V, Li, C, Stoma, S, Lotta, LA, Warner, S, Albrecht, E, Allione, A, Arp, PP, Broer, L, Buxton, JL, Alves, ADSC, Deelen, J, Fedko, IO, Gordon, SD, Jiang, T, Karlsson, R, Kerrison, N, Loe, TK, Mangino, M, Milaneschi, Y, Miraglio, B, Pervjakova, N, Russo, A, Surakka, I, van der Spek, A, Verhoeven, JE, Amin, N, Beekman, M, Blakemore, A, Canzian, F, Hamby, SE, Hottenga, J-J, Jones, PD, Jousilahti, P, Magi, R, Medland, SE, Montgomery, GW, Nyholt, DR, Perola, M, Pietilainen, KH, Salomaa, V, Sillanpaa, E, Suchiman, HE, van Heemst, D, Willemsen, G, Agudo, A, Boeing, H, Boomsma, D, Chirlaque, M-D, Fagherazzi, G, Ferrari, P, Franks, P, Gieger, C, Eriksson, JG, Gunter, M, Hagg, S, Hovatta, I, Imaz, L, Kaprio, J, Kaaks, R, Key, T, Krogh, V, Martin, NG, Melander, O, Metspalu, A, Moreno, C, Onland-Moret, NC, Nilsson, P, Ong, KK, Overvad, K, Palli, D, Panico, S, Pedersen, NL, Penninx, BWJH, Ramon Quiros, J, Riitta Jarvelin, M, Rodriguez-Barranco, M, Scott, RA, Severi, G, Slagboom, PE, Spector, TD, Tjonneland, A, Trichopoulou, A, Tumino, R, Uitterlinden, AG, van der Schouw, YT, van Duijn, CM, Weiderpass, E, Denchi, EL, Matullo, G, Butterworth, AS, Danesh, J, Samani, NJ, Wareham, NJ, Nelson, CP, Langenberg, C, and Codd, V

Abstract

Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) < 0.05 threshold and prioritize genes at 31, with five highlighting nucleotide metabolism as an important regulator of LTL. We report six genome-wide significant loci in or near SENP7, MOB1B, CARMIL1, PRRC2A, TERF2, and RFWD3, and our results support recently identified PARP1, POT1, ATM, and MPHOSPH6 loci. Phenome-wide analyses in >350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease.

Published
2020

41. DNA methylation and body mass index from birth to adolescence:meta-analyses of epigenome-wide association studies

Author

Vehmeijer, F. O. (Florianne O. L.), Kuepers, L. K. (Leanne K.), Sharp, G. C. (Gemma C.), Salas, L. A. (Lucas A.), Lent, S. (Samantha), Jima, D. D. (Dereje D.), Tindula, G. (Gwen), Reese, S. (Sarah), Qi, C. (Cancan), Gruzieva, O. (Olena), Page, C. (Christian), Rezwan, F. I. (Faisal, I), Melton, P. E. (Philip E.), Nohr, E. (Ellen), Escaramis, G. (Georgia), Rzehak, P. (Peter), Heiskala, A. (Anni), Gong, T. (Tong), Tuominen, S. T. (Samuli T.), Gao, L. (Lu), Ross, J. P. (Jason P.), Starling, A. P. (Anne P.), Holloway, J. W. (John W.), Yousefi, P. (Paul), Aasvang, G. M. (Gunn Marit), Beilin, L. J. (Lawrence J.), Bergstrom, A. (Anna), Binder, E. (Elisabeth), Chatzi, L. (Leda), Corpeleijn, E. (Eva), Czamara, D. (Darina), Eskenazi, B. (Brenda), Ewart, S. (Susan), Ferre, N. (Natalia), Grote, V. (Veit), Gruszfeld, D. (Dariusz), Haberg, S. E. (Siri E.), Hoyo, C. (Cathrine), Huen, K. (Karen), Karlsson, R. (Robert), Kull, I. (Inger), Langhendries, J.-P. (Jean-Paul), Lepeule, J. (Johanna), Magnus, M. C. (Maria C.), Maguire, R. L. (Rachel L.), Molloy, P. L. (Peter L.), Monnereau, C. (Claire), Mori, T. A. (Trevor A.), Oken, E. (Emily), Raikkonen, K. (Katri), Rifas-Shiman, S. (Sheryl), Ruiz-Arenas, C. (Carlos), Sebert, S. (Sylvain), Ullemar, V. (Vilhelmina), Verduci, E. (Elvira), Vonk, J. M. (Judith M.), Xu, C.-j. (Cheng-jian), Yang, I. V. (Ivana, V), Zhang, H. (Hongmei), Zhang, W. (Weiming), Karmaus, W. (Wilfried), Dabelea, D. (Dana), Muhlhausler, B. S. (Beverly S.), Breton, C. V. (Carrie, V), Lahti, J. (Jari), Almqvist, C. (Catarina), Jarvelin, M.-R. (Marjo-Riitta), Koletzko, B. (Berthold), Vrijheid, M. (Martine), Sorensen, T. I. (Thorkild I. A.), Huang, R.-C. (Rae-Chi), Arshad, S. H. (Syed Hasan), Nystad, W. (Wenche), Melen, E. (Erik), Koppelman, G. H. (Gerard H.), London, S. J. (Stephanie J.), Holland, N. (Nina), Bustamante, M. (Mariona), Murphy, S. K. (Susan K.), Hivert, M.-F. (Marie-France), Baccarelli, A. (Andrea), Relton, C. L. (Caroline L.), Snieder, H. (Harold), Jaddoe, V. W. (Vincent W. V.), Felix, J. F. (Janine F.), Vehmeijer, F. O. (Florianne O. L.), Kuepers, L. K. (Leanne K.), Sharp, G. C. (Gemma C.), Salas, L. A. (Lucas A.), Lent, S. (Samantha), Jima, D. D. (Dereje D.), Tindula, G. (Gwen), Reese, S. (Sarah), Qi, C. (Cancan), Gruzieva, O. (Olena), Page, C. (Christian), Rezwan, F. I. (Faisal, I), Melton, P. E. (Philip E.), Nohr, E. (Ellen), Escaramis, G. (Georgia), Rzehak, P. (Peter), Heiskala, A. (Anni), Gong, T. (Tong), Tuominen, S. T. (Samuli T.), Gao, L. (Lu), Ross, J. P. (Jason P.), Starling, A. P. (Anne P.), Holloway, J. W. (John W.), Yousefi, P. (Paul), Aasvang, G. M. (Gunn Marit), Beilin, L. J. (Lawrence J.), Bergstrom, A. (Anna), Binder, E. (Elisabeth), Chatzi, L. (Leda), Corpeleijn, E. (Eva), Czamara, D. (Darina), Eskenazi, B. (Brenda), Ewart, S. (Susan), Ferre, N. (Natalia), Grote, V. (Veit), Gruszfeld, D. (Dariusz), Haberg, S. E. (Siri E.), Hoyo, C. (Cathrine), Huen, K. (Karen), Karlsson, R. (Robert), Kull, I. (Inger), Langhendries, J.-P. (Jean-Paul), Lepeule, J. (Johanna), Magnus, M. C. (Maria C.), Maguire, R. L. (Rachel L.), Molloy, P. L. (Peter L.), Monnereau, C. (Claire), Mori, T. A. (Trevor A.), Oken, E. (Emily), Raikkonen, K. (Katri), Rifas-Shiman, S. (Sheryl), Ruiz-Arenas, C. (Carlos), Sebert, S. (Sylvain), Ullemar, V. (Vilhelmina), Verduci, E. (Elvira), Vonk, J. M. (Judith M.), Xu, C.-j. (Cheng-jian), Yang, I. V. (Ivana, V), Zhang, H. (Hongmei), Zhang, W. (Weiming), Karmaus, W. (Wilfried), Dabelea, D. (Dana), Muhlhausler, B. S. (Beverly S.), Breton, C. V. (Carrie, V), Lahti, J. (Jari), Almqvist, C. (Catarina), Jarvelin, M.-R. (Marjo-Riitta), Koletzko, B. (Berthold), Vrijheid, M. (Martine), Sorensen, T. I. (Thorkild I. A.), Huang, R.-C. (Rae-Chi), Arshad, S. H. (Syed Hasan), Nystad, W. (Wenche), Melen, E. (Erik), Koppelman, G. H. (Gerard H.), London, S. J. (Stephanie J.), Holland, N. (Nina), Bustamante, M. (Mariona), Murphy, S. K. (Susan K.), Hivert, M.-F. (Marie-France), Baccarelli, A. (Andrea), Relton, C. L. (Caroline L.), Snieder, H. (Harold), Jaddoe, V. W. (Vincent W. V.), and Felix, J. F. (Janine F.)

Abstract

Background: DNA methylation has been shown to be associated with adiposity in adulthood. However, whether similar DNA methylation patterns are associated with childhood and adolescent body mass index (BMI) is largely unknown. More insight into this relationship at younger ages may have implications for future prevention of obesity and its related traits. Methods: We examined whether DNA methylation in cord blood and whole blood in childhood and adolescence was associated with BMI in the age range from 2 to 18 years using both cross-sectional and longitudinal models. We performed meta-analyses of epigenome-wide association studies including up to 4133 children from 23 studies. We examined the overlap of findings reported in previous studies in children and adults with those in our analyses and calculated enrichment. Results: DNA methylation at three CpGs (cg05937453, cg25212453, and cg10040131), each in a different age range, was associated with BMI at Bonferroni significance, P < 1.06 × 10⁻⁷, with a 0.96 standard deviation score (SDS) (standard error (SE) 0.17), 0.32 SDS (SE 0.06), and 0.32 BMI SDS (SE 0.06) higher BMI per 10% increase in methylation, respectively. DNA methylation at nine additional CpGs in the cross-sectional childhood model was associated with BMI at false discovery rate significance. The strength of the associations of DNA methylation at the 187 CpGs previously identified to be associated with adult BMI, increased with advancing age across childhood and adolescence in our analyses. In addition, correlation coefficients between effect estimates for those CpGs in adults and in children and adolescents also increased. Among the top findings for each age range, we observed increasing enrichment for the CpGs that were previously identified in adults (birth Penrichment = 1; childhood Penrichment = 2.00 × 10⁻⁴; adolescence Penrichment = 2.10 × 10⁻⁷). Conclusions: There were only minimal associations of DNA methylation with childhood and adol

Published
2020

42. DNA methylation and body mass index from birth to adolescence: meta-analyses of epigenome-wide association studies

Author

Vehmeijer, Florianne, Küpers, LK, Sharp, GC, Salas, LA, Lent, S, Jima, DD, Tindula, G, Reese, S, Qi, C, Gruzieva, O, Page, C, Rezwan, FI, Melton, PE, Nohr, E, Escaramís, G, Rzehak, P, Heiskala, A, Gong, T, Tuominen, ST, Gao, L, Ross, JP, Starling, AP, Holloway, JW, Yousefi, P, Aasvang, GM, Beilin, LJ, Bergström, A, Binder, E, Chatzi, L, Corpeleijn, E, Czamara, D, Eskenazi, B, Ewart, S, Ferre, N, Grote, V, Gruszfeld, D, Håberg, SE, Hoyo, C, Huen, K, Karlsson, R, Kull, I, Langhendries, J P, Lepeule, J, Magnus, MC, Maguire, RL, Molloy, PL, Monnereau, Claire, Mori, TA, Oken, E, Räikkönen, K, Rifas-Shiman, S, Ruiz-Arenas, C, Sebert, S, Ullemar, V, Verduci, E, Vonk, JM, Xu, CJ, Yang, IV, Zhang, H, Zhang, W, Karmaus, W, Dabelea, D, Muhlhausler, BS, Breton, CV, Lahti, J, Almqvist, C, Jarvelin, M R R, Koletzko, B, Vrijheid, M, Sørensen, TIA, Huang, RC, Arshad, SH, Nystad, W, Melén, E, Koppelman, GH, London, SJ, Holland, N, Bustamante, M, Murphy, SK, Hivert, MF, Baccarelli, A, Relton, CL, Snieder, H, Jaddoe, Vincent, Felix, Janine, Vehmeijer, Florianne, Küpers, LK, Sharp, GC, Salas, LA, Lent, S, Jima, DD, Tindula, G, Reese, S, Qi, C, Gruzieva, O, Page, C, Rezwan, FI, Melton, PE, Nohr, E, Escaramís, G, Rzehak, P, Heiskala, A, Gong, T, Tuominen, ST, Gao, L, Ross, JP, Starling, AP, Holloway, JW, Yousefi, P, Aasvang, GM, Beilin, LJ, Bergström, A, Binder, E, Chatzi, L, Corpeleijn, E, Czamara, D, Eskenazi, B, Ewart, S, Ferre, N, Grote, V, Gruszfeld, D, Håberg, SE, Hoyo, C, Huen, K, Karlsson, R, Kull, I, Langhendries, J P, Lepeule, J, Magnus, MC, Maguire, RL, Molloy, PL, Monnereau, Claire, Mori, TA, Oken, E, Räikkönen, K, Rifas-Shiman, S, Ruiz-Arenas, C, Sebert, S, Ullemar, V, Verduci, E, Vonk, JM, Xu, CJ, Yang, IV, Zhang, H, Zhang, W, Karmaus, W, Dabelea, D, Muhlhausler, BS, Breton, CV, Lahti, J, Almqvist, C, Jarvelin, M R R, Koletzko, B, Vrijheid, M, Sørensen, TIA, Huang, RC, Arshad, SH, Nystad, W, Melén, E, Koppelman, GH, London, SJ, Holland, N, Bustamante, M, Murphy, SK, Hivert, MF, Baccarelli, A, Relton, CL, Snieder, H, Jaddoe, Vincent, and Felix, Janine

Published
2020

43. DNA methylation and body mass index from birth to adolescence: meta-analyses of epigenome-wide association studies

Author

Universitat Rovira i Virgili, Vehmeijer FOL; Küpers LK; Sharp GC; Salas LA; Lent S; Jima DD; Tindula G; Reese S; Qi C; Gruzieva O; Page C; Rezwan FI; Melton PE; Nohr E; Escaramís G; Rzehak P; Heiskala A; Gong T; Tuominen ST; Gao L; Ross JP; Starling AP; Holloway JW; Yousefi P; Aasvang GM; Beilin LJ; Bergström A; Binder E; Chatzi L; Corpeleijn E; Czamara D; Eskenazi B; Ewart S; Ferre N; Grote V; Gruszfeld D; Håberg SE; Hoyo C; Huen K; Karlsson R, Universitat Rovira i Virgili, and Vehmeijer FOL; Küpers LK; Sharp GC; Salas LA; Lent S; Jima DD; Tindula G; Reese S; Qi C; Gruzieva O; Page C; Rezwan FI; Melton PE; Nohr E; Escaramís G; Rzehak P; Heiskala A; Gong T; Tuominen ST; Gao L; Ross JP; Starling AP; Holloway JW; Yousefi P; Aasvang GM; Beilin LJ; Bergström A; Binder E; Chatzi L; Corpeleijn E; Czamara D; Eskenazi B; Ewart S; Ferre N; Grote V; Gruszfeld D; Håberg SE; Hoyo C; Huen K; Karlsson R

Abstract

© 2020, The Author(s). Background: DNA methylation has been shown to be associated with adiposity in adulthood. However, whether similar DNA methylation patterns are associated with childhood and adolescent body mass index (BMI) is largely unknown. More insight into this relationship at younger ages may have implications for future prevention of obesity and its related traits. Methods: We examined whether DNA methylation in cord blood and whole blood in childhood and adolescence was associated with BMI in the age range from 2 to 18 years using both cross-sectional and longitudinal models. We performed meta-analyses of epigenome-wide association studies including up to 4133 children from 23 studies. We examined the overlap of findings reported in previous studies in children and adults with those in our analyses and calculated enrichment. Results: DNA methylation at three CpGs (cg05937453, cg25212453, and cg10040131), each in a different age range, was associated with BMI at Bonferroni significance, P < 1.06 × 10−7, with a 0.96 standard deviation score (SDS) (standard error (SE) 0.17), 0.32 SDS (SE 0.06), and 0.32 BMI SDS (SE 0.06) higher BMI per 10% increase in methylation, respectively. DNA methylation at nine additional CpGs in the cross-sectional childhood model was associated with BMI at false discovery rate significance. The strength of the associations of DNA methylation at the 187 CpGs previously identified to be associated with adult BMI, increased with advancing age across childhood and adolescence in our analyses. In addition, correlation coefficients between effect estimates for those CpGs in adults and in children and adolescents also increased. Among the top findings for each age range, we observed increasing enrichment for the CpGs that were previously ide

Published
2020

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