40 results on '"Dongen, J. Van"'
Search Results
2. Trans-ancestry epigenome-wide association meta-analysis of DNA methylation with lifetime cannabis use
- Author
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Fang, F., Quach, B.C., Lawrence, K.G., Dongen, J. van, Marks, J.A., Lundgren, S., Vink, J.M., Hancock, D.B., Johnson, E.O., Fang, F., Quach, B.C., Lawrence, K.G., Dongen, J. van, Marks, J.A., Lundgren, S., Vink, J.M., Hancock, D.B., and Johnson, E.O.
- Abstract
Contains fulltext : 298877.pdf (Publisher’s version ) (Open Access), Cannabis is widely used worldwide, yet its links to health outcomes are not fully understood. DNA methylation can serve as a mediator to link environmental exposures to health outcomes. We conducted an epigenome-wide association study (EWAS) of peripheral blood-based DNA methylation and lifetime cannabis use (ever vs. never) in a meta-analysis including 9436 participants (7795 European and 1641 African ancestry) from seven cohorts. Accounting for effects of cigarette smoking, our trans-ancestry EWAS meta-analysis revealed four CpG sites significantly associated with lifetime cannabis use at a false discovery rate of 0.05 $$(p < 5.85\times {10}^{-7})$$: cg22572071 near gene ADGRF1, cg15280358 in ADAM12, cg00813162 in ACTN1, and cg01101459 near LINC01132. Additionally, our EWAS analysis in participants who never smoked cigarettes identified another epigenome-wide significant CpG site, cg14237301 annotated to APOBR. We used a leave-one-out approach to evaluate methylation scores constructed as a weighted sum of the significant CpGs. The best model can explain 3.79% of the variance in lifetime cannabis use. These findings unravel the DNA methylation changes associated with lifetime cannabis use that are independent of cigarette smoking and may serve as a starting point for further research on the mechanisms through which cannabis exposure impacts health outcomes., 07 november 2023, 10 p.
- Published
- 2023
3. Model-based Cross-correlation Search for Gravitational Waves from the Low-mass X-Ray Binary Scorpius X-1 in LIGO O3 Data
- Author
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Abbott, R., primary, Abe, H., additional, Acernese, F., additional, Ackley, K., additional, Adhicary, S., additional, Adhikari, N., additional, Adhikari, R. X., additional, Adkins, V. K., additional, Adya, V. B., additional, Affeldt, C., additional, Agarwal, D., additional, Agathos, M., additional, Aguiar, O. D., additional, Aiello, L., additional, Ain, A., additional, Ajith, P., additional, Akutsu, T., additional, Albanesi, S., additional, Alfaidi, R. A., additional, Alléné, C., additional, Allocca, A., additional, Altin, P. A., additional, Amato, A., additional, Anand, S., additional, Ananyeva, A., additional, Anderson, S. B., additional, Anderson, W. G., additional, Ando, M., additional, Andrade, T., additional, Andres, N., additional, Andrés-Carcasona, M., additional, Andrić, T., additional, Ansoldi, S., additional, Antelis, J. M., additional, Antier, S., additional, Apostolatos, T., additional, Appavuravther, E. Z., additional, Appert, S., additional, Apple, S. K., additional, Arai, K., additional, Araya, A., additional, Araya, M. C., additional, Areeda, J. S., additional, Arène, M., additional, Aritomi, N., additional, Arnaud, N., additional, Arogeti, M., additional, Aronson, S. M., additional, Asada, H., additional, Ashton, G., additional, Aso, Y., additional, Assiduo, M., additional, de Souza Melo, S. Assis, additional, Aston, S. M., additional, Astone, P., additional, Aubin, F., additional, AultONeal, K., additional, Babak, S., additional, Badaracco, F., additional, Badger, C., additional, Bae, S., additional, Bae, Y., additional, Bagnasco, S., additional, Bai, Y., additional, Baier, J. G., additional, Baird, J., additional, Bajpai, R., additional, Baka, T., additional, Ball, M., additional, Ballardin, G., additional, Ballmer, S. W., additional, Baltus, G., additional, Banagiri, S., additional, Banerjee, B., additional, Bankar, D., additional, Barayoga, J. C., additional, Barish, B. C., additional, Barker, D., additional, Barneo, P., additional, Barone, F., additional, Barr, B., additional, Barsotti, L., additional, Barsuglia, M., additional, Barta, D., additional, Bartlett, J., additional, Barton, M. A., additional, Bartos, I., additional, Basak, S., additional, Bassiri, R., additional, Basti, A., additional, Bawaj, M., additional, Bayley, J. C., additional, Bazzan, M., additional, Bécsy, B., additional, Bedakihale, V. M., additional, Beirnaert, F., additional, Bejger, M., additional, Belahcene, I., additional, Bell, A. S., additional, Benedetto, V., additional, Beniwal, D., additional, Benoit, W., additional, Bentley, J. D., additional, BenYaala, M., additional, Bera, S., additional, Berbel, M., additional, Bergamin, F., additional, Berger, B. K., additional, Bernuzzi, S., additional, Beroiz, M., additional, Bersanetti, D., additional, Bertolini, A., additional, Betzwieser, J., additional, Beveridge, D., additional, Bhandare, R., additional, Bhandari, A. V., additional, Bhardwaj, U., additional, Bhatt, R., additional, Bhattacharjee, D., additional, Bhaumik, S., additional, Bianchi, A., additional, Bilenko, I. A., additional, Bilicki, M., additional, Billingsley, G., additional, Bini, S., additional, Birnholtz, O., additional, Biscans, S., additional, Bischi, M., additional, Biscoveanu, S., additional, Bisht, A., additional, Biswas, B., additional, Bitossi, M., additional, Bizouard, M.-A., additional, Blackburn, J. K., additional, Blair, C. D., additional, Blair, D. G., additional, Blair, R. M., additional, Bobba, F., additional, Bode, N., additional, Boër, M., additional, Bogaert, G., additional, Boldrini, M., additional, Bolingbroke, G. N., additional, Bonavena, L. D., additional, Bondarescu, R., additional, Bondu, F., additional, Bonilla, E., additional, Bonnand, R., additional, Booker, P., additional, Bork, R., additional, Boschi, V., additional, Bose, N., additional, Bose, S., additional, Bossilkov, V., additional, Boudart, V., additional, Bouffanais, Y., additional, Bozzi, A., additional, Bradaschia, C., additional, Brady, P. R., additional, Bramley, A., additional, Branch, A., additional, Branchesi, M., additional, Brau, J. E., additional, Breschi, M., additional, Briant, T., additional, Briggs, J. H., additional, Brillet, A., additional, Brinkmann, M., additional, Brockill, P., additional, Brooks, A. F., additional, Brooks, J., additional, Brown, D. D., additional, Brunett, S., additional, Bruno, G., additional, Bruntz, R., additional, Bryant, J., additional, Bucci, F., additional, Buchanan, J., additional, Bulik, T., additional, Bulten, H. J., additional, Buonanno, A., additional, Burtnyk, K., additional, Buscicchio, R., additional, Buskulic, D., additional, Buy, C., additional, Byer, R. L., additional, Davies, G. S. Cabourn, additional, Cabras, G., additional, Cabrita, R., additional, Cadonati, L., additional, Cagnoli, G., additional, Cahillane, C., additional, Bustillo, J. Calderón, additional, Callaghan, J. D., additional, Callister, T. A., additional, Calloni, E., additional, Camp, J. B., additional, Canepa, M., additional, Caneva, G., additional, Cannavacciuolo, M., additional, Cannon, K. C., additional, Cao, H., additional, Cao, Z., additional, Capistran, L. A., additional, Capocasa, E., additional, Capote, E., additional, Carapella, G., additional, Carbognani, F., additional, Carlassara, M., additional, Carlin, J. B., additional, Carpinelli, M., additional, Carrillo, G., additional, Carter, J. J., additional, Carullo, G., additional, Diaz, J. Casanueva, additional, Casentini, C., additional, Castaldi, G., additional, Caudill, S., additional, Cavaglià, M., additional, Cavalier, F., additional, Cavalieri, R., additional, Cella, G., additional, Cerdá-Durán, P., additional, Cesarini, E., additional, Chaibi, W., additional, Chakalis, W., additional, Subrahmanya, S. Chalathadka, additional, Champion, E., additional, Chan, C.-H., additional, Chan, C., additional, Chan, C. L., additional, Chan, K., additional, Chan, M., additional, Chandra, K., additional, Chang, I. P., additional, Chang, W., additional, Chanial, P., additional, Chao, S., additional, Chapman-Bird, C., additional, Charlton, P., additional, Chassande-Mottin, E., additional, Chatterjee, C., additional, Chatterjee, Debarati, additional, Chatterjee, Deep, additional, Chaturvedi, M., additional, Chaty, S., additional, Chen, C., additional, Chen, D., additional, Chen, H. Y., additional, Chen, J., additional, Chen, K., additional, Chen, X., additional, Chen, Y.-B., additional, Chen, Y.-R., additional, Chen, Y., additional, Cheng, H., additional, Chessa, P., additional, Cheung, H. Y., additional, Chia, H. Y., additional, Chiadini, F., additional, Chiang, C-Y., additional, Chiarini, G., additional, Chierici, R., additional, Chincarini, A., additional, Chiofalo, M. L., additional, Chiummo, A., additional, Choudhary, R. K., additional, Choudhary, S., additional, Christensen, N., additional, Chu, Q., additional, Chu, Y-K., additional, Chua, S. S. Y., additional, Chung, K. W., additional, Ciani, G., additional, Ciecielag, P., additional, Cieślar, M., additional, Cifaldi, M., additional, Ciobanu, A. A., additional, Ciolfi, R., additional, Clara, F., additional, Clark, J. A., additional, Clarke, T. A., additional, Clearwater, P., additional, Clesse, S., additional, Cleva, F., additional, Coccia, E., additional, Codazzo, E., additional, Cohadon, P.-F., additional, Cohen, D. E., additional, Colleoni, M., additional, Collette, C. G., additional, Colombo, A., additional, Colpi, M., additional, Compton, C. M., additional, Conti, L., additional, Cooper, S. J., additional, Corban, P., additional, Corbitt, T. R., additional, Cordero-Carrión, I., additional, Corezzi, S., additional, Cornish, N. J., additional, Corsi, A., additional, Cortese, S., additional, Coschizza, A. C., additional, Cotesta, R., additional, Cottingham, R., additional, Coughlin, M. W., additional, Coulon, J.-P., additional, Countryman, S. T., additional, Cousins, B., additional, Couvares, P., additional, Coward, D. M., additional, Cowart, M. J., additional, Coyne, D. C., additional, Coyne, R., additional, Craig, K., additional, Creighton, J. D. E., additional, Creighton, T. D., additional, Criswell, A. W., additional, Croquette, M., additional, Crowder, S. G., additional, Cudell, J. R., additional, Cullen, T. J., additional, Cumming, A., additional, Cummings, R., additional, Cuoco, E., additional, Curyło, M., additional, Dabadie, P., additional, Dal Canton, T., additional, Dall’Osso, S., additional, Dálya, G., additional, Dana, A., additional, D’Angelo, B., additional, Danilishin, S., additional, D’Antonio, S., additional, Danzmann, K., additional, Darsow-Fromm, C., additional, Dasgupta, A., additional, Datrier, L. E. H., additional, Datta, Sayantani, additional, Dattilo, V., additional, Dave, I., additional, Davier, M., additional, Davis, D., additional, Davis, M. C., additional, Daw, E. J., additional, Dax, M., additional, De Bra, D., additional, Deenadayalan, M., additional, Degallaix, J., additional, De Laurentis, M., additional, Deléglise, S., additional, Del Favero, V., additional, De Lillo, F., additional, De Lillo, N., additional, Dell’Aquila, D., additional, Del Pozzo, W., additional, De Matteis, F., additional, D’Emilio, V., additional, Demos, N., additional, Dent, T., additional, Depasse, A., additional, De Pietri, R., additional, De Rosa, R., additional, De Rossi, C., additional, DeSalvo, R., additional, De Simone, R., additional, Dhurandhar, S., additional, Diab, R., additional, Díaz, M. C., additional, Didio, N. A., additional, Dietrich, T., additional, Fiore, L. Di, additional, Fronzo, C. Di, additional, Giorgio, C. Di, additional, Giovanni, F. Di, additional, Giovanni, M. Di, additional, Girolamo, T. Di, additional, Diksha, D., additional, Lieto, A. Di, additional, Michele, A. Di, additional, Pace, S. Di, additional, Palma, I. Di, additional, Renzo, F. Di, additional, Divakarla, A. K., additional, Dmitriev, A., additional, Doctor, Z., additional, Doleva, P. P., additional, Donahue, L., additional, D’Onofrio, L., additional, Donovan, F., additional, Dooley, K. L., additional, Dooney, T., additional, Doravari, S., additional, Dorosh, O., additional, Drago, M., additional, Driggers, J. C., additional, Drori, Y., additional, Ducoin, J.-G., additional, Dunn, L., additional, Dupletsa, U., additional, Durante, O., additional, D’Urso, D., additional, Duverne, P.-A., additional, Dwyer, S. E., additional, Eassa, C., additional, Easter, P. J., additional, Ebersold, M., additional, Eckhardt, T., additional, Eddolls, G., additional, Edelman, B., additional, Edo, T. B., additional, Edy, O., additional, Effler, A., additional, Eguchi, S., additional, Eichholz, J., additional, Eikenberry, S. S., additional, Eisenmann, M., additional, Eisenstein, R. A., additional, Ejlli, A., additional, Engelby, E., additional, Enomoto, Y., additional, Errico, L., additional, Essick, R. C., additional, Estellés, H., additional, Estevez, D., additional, Etzel, T., additional, Evans, M., additional, Evans, T. M., additional, Evstafyeva, T., additional, Ewing, B. E., additional, Fabrizi, F., additional, Faedi, F., additional, Fafone, V., additional, Fair, H., additional, Fairhurst, S., additional, Fan, P. C., additional, Farah, A. M., additional, Farr, B., additional, Farr, W. M., additional, Favaro, G., additional, Favata, M., additional, Fays, M., additional, Fazio, M., additional, Feicht, J., additional, Fejer, M. M., additional, Fenyvesi, E., additional, Ferguson, D. L., additional, Fernandez-Galiana, A., additional, Ferrante, I., additional, Ferreira, T. A., additional, Fidecaro, F., additional, Figura, P., additional, Fiori, A., additional, Fiori, I., additional, Fishbach, M., additional, Fisher, R. P., additional, Fittipaldi, R., additional, Fiumara, V., additional, Flaminio, R., additional, Floden, E., additional, Fong, H. K., additional, Font, J. A., additional, Fornal, B., additional, Forsyth, P. W. F., additional, Franke, A., additional, Frasca, S., additional, Frasconi, F., additional, Freed, J. P., additional, Frei, Z., additional, Freise, A., additional, Freitas, O., additional, Frey, R., additional, Fritschel, P., additional, Frolov, V. V., additional, Fronzé, G. G., additional, Fujii, Y., additional, Fujikawa, Y., additional, Fujimoto, Y., additional, Fulda, P., additional, Fyffe, M., additional, Gabbard, H. A., additional, Gabella, W. E., additional, Gadre, B. U., additional, Gair, J. R., additional, Gais, J., additional, Galaudage, S., additional, Gamba, R., additional, Ganapathy, D., additional, Ganguly, A., additional, Gao, D.-F., additional, Gao, D., additional, Gaonkar, S. G., additional, Garaventa, B., additional, García-Núñez, C., additional, García-Quirós, C., additional, Gardner, K. A., additional, Gargiulo, J., additional, Garufi, F., additional, Gasbarra, C., additional, Gateley, B., additional, Gayathri, V., additional, Ge, G.-G., additional, Gemme, G., additional, Gennai, A., additional, George, J., additional, Gerberding, O., additional, Gergely, L., additional, Ghonge, S., additional, Ghosh, Abhirup, additional, Ghosh, Archisman, additional, Ghosh, Shaon, additional, Ghosh, Shrobana, additional, Ghosh, Tathagata, additional, Giacoppo, L., additional, Giaime, J. A., additional, Giardina, K. D., additional, Gibson, D. R., additional, Gier, C., additional, Giri, P., additional, Gissi, F., additional, Gkaitatzis, S., additional, Glanzer, J., additional, Gleckl, A. E., additional, Godoy, F. G., additional, Godwin, P., additional, Goetz, E., additional, Goetz, R., additional, Golomb, J., additional, Goncharov, B., additional, González, G., additional, Gosselin, M., additional, Gouaty, R., additional, Gould, D. W., additional, Goyal, S., additional, Grace, B., additional, Grado, A., additional, Graham, V., additional, Granata, M., additional, Granata, V., additional, Gras, S., additional, Grassia, P., additional, Gray, C., additional, Gray, R., additional, Greco, G., additional, Green, A. C., additional, Green, R., additional, Gretarsson, A. M., additional, Gretarsson, E. M., additional, Griffith, D., additional, Griffiths, W. L., additional, Griggs, H. L., additional, Grignani, G., additional, Grimaldi, A., additional, Grimm, S. J., additional, Grote, H., additional, Grunewald, S., additional, Gruson, A. S., additional, Guerra, D., additional, Guidi, G. M., additional, Guimaraes, A. R., additional, Gulati, H. K., additional, Gulminelli, F., additional, Gunny, A. M., additional, Guo, H.-K., additional, Guo, Y., additional, Gupta, Anchal, additional, Gupta, Anuradha, additional, Gupta, P., additional, Gupta, S. K., additional, Gurs, J., additional, Gustafson, R., additional, Gutierrez, N., additional, Guzman, F., additional, Ha, S., additional, Hadiputrawan, I. P. W., additional, Haegel, L., additional, Haino, S., additional, Halim, O., additional, Hall, E. D., additional, Hamilton, E. Z., additional, Hammond, G., additional, Han, W.-B., additional, Haney, M., additional, Hanks, J., additional, Hanna, C., additional, Hannam, M. D., additional, Hannuksela, O., additional, Hansen, H., additional, Hanson, J., additional, Harada, R., additional, Harder, T., additional, Haris, K., additional, Harms, J., additional, Harry, G. M., additional, Harry, I. W., additional, Hartwig, D., additional, Hasegawa, K., additional, Haskell, B., additional, Haster, C.-J., additional, Hathaway, J. S., additional, Hattori, K., additional, Haughian, K., additional, Hayakawa, H., additional, Hayama, K., additional, Hayes, F. J., additional, Healy, J., additional, Heidmann, A., additional, Heidt, A., additional, Heintze, M. C., additional, Heinze, J., additional, Heinzel, J., additional, Heitmann, H., additional, Hellman, F., additional, Hello, P., additional, Helmling-Cornell, A. F., additional, Hemming, G., additional, Hendry, M., additional, Heng, I. S., additional, Hennes, E., additional, Hennig, J.-S., additional, Hennig, M., additional, Henshaw, C., additional, Hernandez, A. G., additional, Vivanco, F. Hernandez, additional, Heurs, M., additional, Hewitt, A. L., additional, Higginbotham, S., additional, Hild, S., additional, Hill, P., additional, Himemoto, Y., additional, Hines, A. S., additional, Hirata, N., additional, Hirose, C., additional, Ho, T-C., additional, Hochheim, S., additional, Hofman, D., additional, Hohmann, J. N., additional, Holcomb, D. G., additional, Holland, N. A., additional, Hollows, I. J., additional, Holmes, Z. J., additional, Holt, K., additional, Holz, D. E., additional, Hong, Q., additional, Hough, J., additional, Hourihane, S., additional, Howell, D., additional, Howell, E. J., additional, Hoy, C. G., additional, Hoyland, D., additional, Hreibi, A., additional, Hsieh, B-H., additional, Hsieh, H-F., additional, Hsiung, C., additional, Huang, H-Y., additional, Huang, P., additional, Huang, Y-C., additional, Huang, Y.-J., additional, Huang, Y., additional, Hübner, M. T., additional, Huddart, A. D., additional, Hughey, B., additional, Hui, D. C. Y., additional, Hui, V., additional, Husa, S., additional, Huttner, S. H., additional, Huxford, R., additional, Huynh-Dinh, T., additional, Hyland, J., additional, Iandolo, G. A., additional, Ide, S., additional, Idzkowski, B., additional, Iess, A., additional, Inayoshi, K., additional, Inoue, Y., additional, Iosif, P., additional, Irwin, J., additional, Gupta, Ish, additional, Isi, M., additional, Ito, K., additional, Itoh, Y., additional, Iyer, B. R., additional, JaberianHamedan, V., additional, Jacqmin, T., additional, Jacquet, P.-E., additional, Jadhav, S. J., additional, Jadhav, S. P., additional, Jain, T., additional, James, A. L., additional, Jan, A. Z., additional, Jani, K., additional, Janquart, J., additional, Janssens, K., additional, Janthalur, N. N., additional, Jaranowski, P., additional, Jariwala, D., additional, Jarov, S., additional, Jaume, R., additional, Jenkins, A. C., additional, Jenner, K., additional, Jeon, C., additional, Jia, W., additional, Jiang, J., additional, Jin, H.-B., additional, Johns, G. R., additional, Johnston, R., additional, Johny, N., additional, Jones, A. W., additional, Jones, D. I., additional, Jones, P., additional, Jones, R., additional, Joshi, P., additional, Ju, L., additional, Jung, K., additional, Jung, P., additional, Junker, J., additional, Juste, V., additional, Kaihotsu, K., additional, Kajita, T., additional, Kakizaki, M., additional, Kalaghatgi, C., additional, Kalogera, V., additional, Kamai, B., additional, Kamiizumi, M., additional, Kanda, N., additional, Kandhasamy, S., additional, Kang, G., additional, Kanner, J. B., additional, Kao, Y., additional, Kapadia, S. J., additional, Kapasi, D. P., additional, Karat, S., additional, Karathanasis, C., additional, Karki, S., additional, Kashyap, R., additional, Kasprzack, M., additional, Kastaun, W., additional, Kato, T., additional, Katsanevas, S., additional, Katsavounidis, E., additional, Katzman, W., additional, Kaur, T., additional, Kawabe, K., additional, Kawaguchi, K., additional, Kéfélian, F., additional, Keitel, D., additional, Key, J. S., additional, Khadka, S., additional, Khalili, F. Y., additional, Khan, S., additional, Khanam, T., additional, Khazanov, E. A., additional, Khetan, N., additional, Khursheed, M., additional, Kijbunchoo, N., additional, Kim, C., additional, Kim, J. C., additional, Kim, J., additional, Kim, K., additional, Kim, P., additional, Kim, W. S., additional, Kim, Y.-M., additional, Kimball, C., additional, Kimura, N., additional, King, B., additional, Kinley-Hanlon, M., additional, Kirchhoff, R., additional, Kissel, J. S., additional, Klimenko, S., additional, Klinger, T., additional, Knee, A. M., additional, Knust, N., additional, Kobayashi, Y., additional, Koch, P., additional, Koehlenbeck, S. M., additional, Koekoek, G., additional, Kohri, K., additional, Kokeyama, K., additional, Koley, S., additional, Kolitsidou, P., additional, Kolstein, M., additional, Kondrashov, V., additional, Kong, A. K. H., additional, Kontos, A., additional, Korobko, M., additional, Kossak, R. V., additional, Kovalam, M., additional, Koyama, N., additional, Kozak, D. B., additional, Kozakai, C., additional, Kranzhoff, L., additional, Kringel, V., additional, Krishnendu, N. V., additional, Królak, A., additional, Kuehn, G., additional, Kuijer, P., additional, Kulkarni, S., additional, Kumar, A., additional, Kumar, Praveen, additional, Kumar, Prayush, additional, Kumar, Rahul, additional, Kumar, Rakesh, additional, Kume, J., additional, Kuns, K., additional, Kuromiya, Y., additional, Kuroyanagi, S., additional, Kuwahara, S., additional, Kwak, K., additional, Lacaille, G., additional, Lagabbe, P., additional, Laghi, D., additional, Lalande, E., additional, Lalleman, M., additional, Lamberts, A., additional, Landry, M., additional, Lane, B. B., additional, Lang, R. N., additional, Lange, J., additional, Lantz, B., additional, Rosa, I. La, additional, Lartaux-Vollard, A., additional, Lasky, P. D., additional, Lawrence, J., additional, Laxen, M., additional, Lazzarini, A., additional, Lazzaro, C., additional, Leaci, P., additional, Leavey, S., additional, LeBohec, S., additional, Lecoeuche, Y. K., additional, Lee, E., additional, Lee, H. M., additional, Lee, H. W., additional, Lee, K., additional, Lee, R., additional, Legred, I. N., additional, Lehmann, J., additional, Lemaître, A., additional, Lenti, M., additional, Leonardi, M., additional, Leonova, E., additional, Leroy, N., additional, Letendre, N., additional, Levesque, C., additional, Levin, Y., additional, Leviton, J. N., additional, Leyde, K., additional, Li, A. K. Y., additional, Li, B., additional, Li, K. L., additional, Li, P., additional, Li, T. G. F., additional, Li, X., additional, Lin, C-Y., additional, Lin, E. T., additional, Lin, F-K., additional, Lin, F-L., additional, Lin, H. L., additional, Lin, L. C.-C., additional, Linde, F., additional, Linker, S. D., additional, Littenberg, T. B., additional, Liu, G. C., additional, Liu, J., additional, Liu, X., additional, Llamas, F., additional, Lo, R. K. L., additional, Lo, T., additional, London, L. T., additional, Longo, A., additional, Lopez, D., additional, Portilla, M. Lopez, additional, Lorenzini, M., additional, Loriette, V., additional, Lormand, M., additional, Losurdo, G., additional, Lott, T. P., additional, Lough, J. D., additional, Lousto, C. O., additional, Lovelace, G., additional, Lowry, M. J., additional, Lucaccioni, J. F., additional, Lück, H., additional, Lumaca, D., additional, Lundgren, A. P., additional, Lung, Y., additional, Luo, L.-W., additional, Lussier, A. W., additional, Lynam, J. E., additional, Ma’arif, M., additional, Macas, R., additional, MacInnis, M., additional, Macleod, D. M., additional, MacMillan, I. A. O., additional, Macquet, A., additional, Maga na Hernandez, I., additional, Magazzù, C., additional, Magee, R. M., additional, Maggiore, R., additional, Magnozzi, M., additional, Mahesh, S., additional, Majorana, E., additional, Makarem, C. N., additional, Maksimovic, I., additional, Maliakal, S., additional, Malik, A., additional, Man, N., additional, Mandic, V., additional, Mangano, V., additional, Mannix, B. R., additional, Mansell, G. L., additional, Mansingh, G., additional, Manske, M., additional, Mantovani, M., additional, Mapelli, M., additional, Marchesoni, F., additional, Marín Pina, D., additional, Marion, F., additional, Mark, Z., additional, Márka, S., additional, Márka, Z., additional, Markakis, C., additional, Markosyan, A. S., additional, Markowitz, A., additional, Maros, E., additional, Marquina, A., additional, Marsat, S., additional, Martelli, F., additional, Martin, I. W., additional, Martin, R. M., additional, Martinez, M., additional, Martinez, V. A., additional, Martinez, V., additional, Martinovic, K., additional, Martynov, D. V., additional, Marx, E. 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4. Model-based Cross-correlation Search for Gravitational Waves from the Low-mass X-Ray Binary Scorpius X-1 in LIGO O3 Data
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Abbott, R., Abe, H., Acernese, F., Ackley, K., Adhicary, S., Adhikari, N., Adhikari, R. X., Adkins, V. K., Adya, V. B., Affeldt, C., Agarwal, D., Agathos, M., Aguiar, O. D., Aiello, L., Ain, A., Ajith, P., Akutsu, T., Albanesi, S., Alfaidi, R. A., Alléné, C., Allocca, A., Altin, P. A., Amato, A., Anand, S., Ananyeva, A., Anderson, S. B., Anderson, W. G., Ando, M., Andrade, T., Andres, N., Andrés-Carcasona, M., Andrić, T., Ansoldi, S., Antelis, J. M., Antier, S., Apostolatos, T., Appavuravther, E. Z., Appert, S., Apple, S. K., Arai, K., Araya, A., Araya, M. C., Areeda, J. S., Arène, M., Aritomi, N., Arnaud, N., Arogeti, M., Aronson, S. M., Asada, H., Ashton, G., Aso, Y., Assiduo, M., de Souza Melo, S. Assis, Aston, S. M., Astone, P., Aubin, F., AultONeal, K., Babak, S., Badaracco, F., Badger, C., Bae, S., Bae, Y., Bagnasco, S., Bai, Y., Baier, J. G., Baird, J., Bajpai, R., Baka, T., Ball, M., Ballardin, G., Ballmer, S. 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A., Steinlechner, J., Steinlechner, S., Stergioulas, N., Stops, D. J., Strain, K. A., Strang, L. C., Stratta, G., Strong, M. D., Strunk, A., Sturani, R., Stuver, A. L., Suchenek, M., Sudhagar, S., Sugimoto, R., Suh, H. G., Sullivan, A. G., Summerscales, T. Z., Sun, L., Sunil, S., Sur, A., Suresh, J., Sutton, P. J., Suzuki, Takamasa, Suzuki, Takanori, Suzuki, Toshikazu, Swinkels, B. L., Syx, A., Szczepańczyk, M. J., Szewczyk, P., Tacca, M., Tagoshi, H., Tait, S. C., Takahashi, H., Takahashi, R., Takano, S., Takeda, H., Takeda, M., Talbot, C. J., Talbot, C., Tamanini, N., Tanaka, K., Tanaka, Taiki, Tanaka, Takahiro, Tanasijczuk, A. J., Tanioka, S., Tanner, D. B., Tao, D., Tao, L., Tapia, R. D., San Martín, E. N. Tapia, Taranto, C., Taruya, A., Tasson, J. D., Tenorio, R., Terhune, J. E. S., Terkowski, L., Themann, H., Thirugnanasambandam, M. P., Thomas, M., Thomas, P., Thomas, S., Thompson, D., Thompson, E. E., Thompson, J. E., Thondapu, S. R., Thorne, K. 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- Abstract
We present the results of a model-based search for continuous gravitational waves from the low-mass X-ray binary Scorpius X-1 using LIGO detector data from the third observing run of Advanced LIGO and Advanced Virgo. This is a semicoherent search that uses details of the signal model to coherently combine data separated by less than a specified coherence time, which can be adjusted to balance sensitivity with computing cost. The search covered a range of gravitational-wave frequencies from 25 to 1600 Hz, as well as ranges in orbital speed, frequency, and phase determined from observational constraints. No significant detection candidates were found, and upper limits were set as a function of frequency. The most stringent limits, between 100 and 200 Hz, correspond to an amplitude h0 of about 10−25 when marginalized isotropically over the unknown inclination angle of the neutron star's rotation axis, or less than 4 × 10−26 assuming the optimal orientation. The sensitivity of this search is now probing amplitudes predicted by models of torque balance equilibrium. For the usual conservative model assuming accretion at the surface of the neutron star, our isotropically marginalized upper limits are close to the predicted amplitude from about 70 to 100 Hz; the limits assuming that the neutron star spin is aligned with the most likely orbital angular momentum are below the conservative torque balance predictions from 40 to 200 Hz. Assuming a broader range of accretion models, our direct limits on gravitational-wave amplitude delve into the relevant parameter space over a wide range of frequencies, to 500 Hz or more.
- Published
- 2022
5. De meerwaarde van diversiteit in prentenboeken : een imagologisch-narratologisch onderzoek naar de afspiegeling van de samenleving in hedendaagse prentenboeken
- Author
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Dongen, J. van, Dongen, J. van, Dongen, J. van, and Dongen, J. van
- Published
- 2019
6. Occupational exposure to gases/fumes and mineral dust affect DNA methylation levels of genes regulating expression
- Author
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Plaat, D. van der, Vonk, J.M., Terzikhan, N., Jong, K. de, Vries, M. de, Bastide-van Gemert, S. la, Diemen, C.C. van, Lahousse, L., Brusselle, G., Nedeljkovic, I., Amin, N., Kromhout, H., Vermeulen, R.C.H., Postma, D.S., Duijn, C.M. van, Boezen, H.M., Heijmans, B.T., Hoen, P.A.C.T., Meurs, J. van, Isaacs, A., Jansen, R., Franke, L., Boomsma, D.I., Pool, R., Dongen, J. van, Hottenga, J.J., Greevenbroek, M.M.J. van, Stehouwer, C.D.A., Kallen, C.J.H. van der, Schalkwijk, C.G., Wijmenga, C., Zhernakova, S., Tigchelaar, E.E., Slagboom, P.E., Beekman, M., Deelen, J., Heemst, D. van, Veldink, J.H., Berg, L.H. van den, Hofman, B.A., Uitterlinden, A.G., Jhamai, P.M., Verbiest, M., Suchiman, H.E.D., Verkerk, M., Breggen, R. van der, Rooij, J. van, Lakenberg, N., Mei, H., Iterson, M. van, Galen, M. van, Bot, J., Zhernakova, D.V., Hof, P.V., Deelen, P., Nooren, I., Moed, M., Vermaat, M., Luijk, R., Bonder, M.J., Dijk, F. van, Arindrarto, W., Kielbasa, S.M., Swertz, M.A., Zwet, E.W. van, Hoen, P.B. 't, BIOS Consortium, Groningen Research Institute for Asthma and COPD (GRIAC), Life Course Epidemiology (LCE), Interne Geneeskunde, RS: Carim - V01 Vascular complications of diabetes and metabolic syndrome, RS: CARIM - R3 - Vascular biology, MUMC+: MA Interne Geneeskunde (3), RS: CARIM - R3.01 - Vascular complications of diabetes and the metabolic syndrome, Epidemiology, Pulmonary Medicine, APH - Methodology, APH - Mental Health, Amsterdam Reproduction & Development, Biological Psychology, APH - Personalized Medicine, and APH - Health Behaviors & Chronic Diseases
- Subjects
Male ,GASES ,Rotterdam Study ,FEV1 ,0302 clinical medicine ,Medicine and Health Sciences ,Leukocytes ,030212 general & internal medicine ,Association Studies Article ,Genetics (clinical) ,11 Medical and Health Sciences ,Aged, 80 and over ,Genetics & Heredity ,RISK ,0303 health sciences ,biology ,Dust ,General Medicine ,Methylation ,Middle Aged ,Blood ,DNA methylation ,Female ,BIOS Consortium ,Life Sciences & Biomedicine ,Adult ,Biochemistry & Molecular Biology ,Adolescent ,Mineral dust ,Young Adult ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Occupational Exposure ,Genetics ,GNAS complex locus ,Humans ,Epigenetics ,Molecular Biology ,Gene ,Aged ,030304 developmental biology ,DECLINE ,Science & Technology ,Sequence Analysis, RNA ,Biology and Life Sciences ,DNA Methylation ,06 Biological Sciences ,respiratory tract diseases ,Differentially methylated regions ,Gene Expression Regulation ,DISCOVERY ,Immunology ,biology.protein ,Genome-Wide Association Study - Abstract
Many workers are daily exposed to occupational agents like gases/fumes, mineral dust or biological dust, which could induce adverse health effects. Epigenetic mechanisms, such as DNA methylation, have been suggested to play a role. We therefore aimed to identify differentially methylated regions (DMRs) upon occupational exposures in never-smokers and investigated if these DMRs associated with gene expression levels. To determine the effects of occupational exposures independent of smoking, 903 never-smokers of the LifeLines cohort study were included. We performed three genome-wide methylation analyses (Illumina 450 K), one per occupational exposure being gases/fumes, mineral dust and biological dust, using robust linear regression adjusted for appropriate confounders. DMRs were identified using comb-p in Python. Results were validated in the Rotterdam Study (233 never-smokers) and methylation-expression associations were assessed using Biobank-based Integrative Omics Study data (n = 2802). Of the total 21 significant DMRs, 14 DMRs were associated with gases/fumes and 7 with mineral dust. Three of these DMRs were associated with both exposures (RPLP1 and LINC02169 (2×)) and 11 DMRs were located within transcript start sites of gene expression regulating genes. We replicated two DMRs with gases/fumes (VTRNA2-1 and GNAS) and one with mineral dust (CCDC144NL). In addition, nine gases/fumes DMRs and six mineral dust DMRs significantly associated with gene expression levels. Our data suggest that occupational exposures may induce differential methylation of gene expression regulating genes and thereby may induce adverse health effects. Given the millions of workers that are exposed daily to occupational exposures, further studies on this epigenetic mechanism and health outcomes are warranted.
- Published
- 2019
7. Genome-wide association study of circulating interleukin 6 levels identifies novel loci
- Author
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Ahluwalia, T.S., Prins, B.P., Abdollahi, M., Armstrong, N.J., Aslibekyan, S., Bain, L., Jefferis, B., Baumert, J., Beekman, M., Ben-Shlomo, Y., Bis, J.C., Mitchell, B.D., Geus, E. de, Delgado, G.E., Marek, D., Eriksson, J., Kajantie, E., Kanoni, S., Kemp, J.P., Lu, C., Marioni, R.E., McLachlan, S., Milaneschi, Y., Nolte, I.M., Petrelis, A.M., Porcu, E., Sabater-Lleal, M., Naderi, E., Seppala, I., Shah, T., Singhal, G., Standl, M., Teumer, A., Thalamuthu, A., Thiering, E., Trompet, S., Ballantyne, C.M., Benjamin, E.J., Casas, J.P., Toben, C., Dedoussis, G., Deelen, J., Durda, P., Engmann, J., Feitosa, M.F., Grallert, H., Hammarstedt, A., Harris, S.E., Homuth, G., Hottenga, J.J., Jalkanen, S., Jamshidi, Y., Jawahar, M.C., Jess, T., Kivimaki, M., Kleber, M.E., Lahti, J., Liu, Y., Marques-Vidal, P., Mellstrom, D., Mooijaart, S.P., Muller-Nurasyid, M., Penninx, B., Revez, J.A., Rossing, P., Raikkonen, K., Sattar, N., Scharnagl, H., Sennblad, B., Silveira, A., St Pourcain, B., Timpson, N.J., Trollor, J., Dongen, J. van, Heemst, D. van, Visvikis-Siest, S., Vollenweider, P., Volker, U., Waldenberger, M., Willemsen, G., Zabaneh, D., Morris, R.W., Arnett, D.K., Baune, B.T., Boomsma, D.I., Chang, Y.P.C., Deary, I.J., Deloukas, P., Eriksson, J.G., Evans, D.M., Ferreira, M.A., Gaunt, T., Gudnason, V., Hamsten, A., Heinrich, J., Hingorani, A., Humphries, S.E., Jukema, J.W., Koenig, W., Kumari, M., Kutalik, Z., Lawlor, D.A., Lehtimaki, T., Marz, W., Mather, K.A., Naitza, S., Nauck, M., Ohlsson, C., Price, J.F., Raitakari, O., Rice, K., Sachdev, P.S., Slagboom, E., Sorensen, T.I.A., Spector, T., Stacey, D., Stathopoulou, M.G., Tanaka, T., Wannamethee, S.G., Whincup, P., Rotter, J.I., Dehghan, A., Boerwinkle, E., Psaty, B.M., Snieder, H., Alizadeh, B.Z., and CHARGE Inflammation Working Grp
- Abstract
Interleukin 6 (IL-6) is a multifunctional cytokine with both pro- and anti-inflammatory properties with a heritability estimate of up to 61%. The circulating levels of IL-6 in blood have been associated with an increased risk of complex disease pathogenesis. We conducted a two-staged, discovery and replication meta genome-wide association study (GWAS) of circulating serum IL-6 levels comprising up to 67428 (n(discovery)=52654 and n(replication)=14774) individuals of European ancestry. The inverse variance fixed effects based discovery meta-analysis, followed by replication led to the identification of two independent loci, IL1F10/IL1RN rs6734238 on chromosome (Chr) 2q14, (P-combined=1.8x10(-11)), HLA-DRB1/DRB5 rs660895 on Chr6p21 (P-combined=1.5x10(-10)) in the combined meta-analyses of all samples. We also replicated the IL6R rs4537545 locus on Chr1q21 (P-combined=1.2x10(-122)). Our study identifies novel loci for circulating IL-6 levels uncovering new immunological and inflammatory pathways that may influence IL-6 pathobiology.
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- 2021
8. DNA methylation signatures of aggression and closely related constructs: A meta-analysis of epigenome-wide studies across the lifespan
- Author
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Dongen, J. Van, Hagenbeek, F.A., Suderman, M., Roetman, P.J., Sugden, K., Chiocchetti, A.G., Ismail, K., Mulder, R.H., Hafferty, J.D., Adams, M.J., Walker, R.M., Morris, S.W., Lahti, J., Küpers, L.K., Escaramis, G., Alemany, S., Bonder, M. Jan, Meijer, M., Ip, H.F., Jansen, R., Baselmans, B.M.L., Parmar, P., Lowry, E., Streit, F., Sirignano, L., Send, T.S., Frank, J., Jylhävä, J., Wang, Y., Mishra, P.P., Colins, O.F., Corcoran, D.L., Poulton, R., Mill, J., Hannon, E., Arseneault, L., Korhonen, T., Vuoksimaa, E., Felix, J.F., Bakermans-Kranenburg, M.J., Campbell, A., Czamara, D., Binder, E., Corpeleijn, E., Gonzalez, J.R., Grazuleviciene, R., Gutzkow, K.B., Evandt, J., Vafeiadi, M., Klein, M., Meer, D. van der, Ligthart, L., Kluft, C., Davies, G.E., Hakulinen, C., Keltikangas-Järvinen, L., Franke, B., Freitag, C.M., Konrad, K., Hervas, A., Fernández-Rivas, A., Vetro, A., Raitakari, O., Lehtimäki, T., Vermeiren, R., Strandberg, T., Räikkönen, K., Snieder, H., Witt, S.H., Deuschle, M., Pedersen, N.L., Hägg, S., Sunyer, J., Franke, L., Kaprio, J., Ollikainen, M., Moffitt, T.E., Tiemeier, H., van, I.M.H., Relton, C., Vrijheid, M., Sebert, S., Jarvelin, M.R., Caspi, A., Evans, K.L., McIntosh, A.M., Bartels, M., Boomsma, D.I., Dongen, J. Van, Hagenbeek, F.A., Suderman, M., Roetman, P.J., Sugden, K., Chiocchetti, A.G., Ismail, K., Mulder, R.H., Hafferty, J.D., Adams, M.J., Walker, R.M., Morris, S.W., Lahti, J., Küpers, L.K., Escaramis, G., Alemany, S., Bonder, M. Jan, Meijer, M., Ip, H.F., Jansen, R., Baselmans, B.M.L., Parmar, P., Lowry, E., Streit, F., Sirignano, L., Send, T.S., Frank, J., Jylhävä, J., Wang, Y., Mishra, P.P., Colins, O.F., Corcoran, D.L., Poulton, R., Mill, J., Hannon, E., Arseneault, L., Korhonen, T., Vuoksimaa, E., Felix, J.F., Bakermans-Kranenburg, M.J., Campbell, A., Czamara, D., Binder, E., Corpeleijn, E., Gonzalez, J.R., Grazuleviciene, R., Gutzkow, K.B., Evandt, J., Vafeiadi, M., Klein, M., Meer, D. van der, Ligthart, L., Kluft, C., Davies, G.E., Hakulinen, C., Keltikangas-Järvinen, L., Franke, B., Freitag, C.M., Konrad, K., Hervas, A., Fernández-Rivas, A., Vetro, A., Raitakari, O., Lehtimäki, T., Vermeiren, R., Strandberg, T., Räikkönen, K., Snieder, H., Witt, S.H., Deuschle, M., Pedersen, N.L., Hägg, S., Sunyer, J., Franke, L., Kaprio, J., Ollikainen, M., Moffitt, T.E., Tiemeier, H., van, I.M.H., Relton, C., Vrijheid, M., Sebert, S., Jarvelin, M.R., Caspi, A., Evans, K.L., McIntosh, A.M., Bartels, M., and Boomsma, D.I.
- Abstract
Item does not contain fulltext, DNA methylation profiles of aggressive behavior may capture lifetime cumulative effects of genetic, stochastic, and environmental influences associated with aggression. Here, we report the first large meta-analysis of epigenome-wide association studies (EWAS) of aggressive behavior (N = 15,324 participants). In peripheral blood samples of 14,434 participants from 18 cohorts with mean ages ranging from 7 to 68 years, 13 methylation sites were significantly associated with aggression (alpha = 1.2 × 10(-7); Bonferroni correction). In cord blood samples of 2425 children from five cohorts with aggression assessed at mean ages ranging from 4 to 7 years, 83% of these sites showed the same direction of association with childhood aggression (r = 0.74, p = 0.006) but no epigenome-wide significant sites were found. Top-sites (48 at a false discovery rate of 5% in the peripheral blood meta-analysis or in a combined meta-analysis of peripheral blood and cord blood) have been associated with chemical exposures, smoking, cognition, metabolic traits, and genetic variation (mQTLs). Three genes whose expression levels were associated with top-sites were previously linked to schizophrenia and general risk tolerance. At six CpGs, DNA methylation variation in blood mirrors variation in the brain. On average 44% (range = 3-82%) of the aggression-methylation association was explained by current and former smoking and BMI. These findings point at loci that are sensitive to chemical exposures with potential implications for neuronal functions. We hope these results to be a starting point for studies leading to applications as peripheral biomarkers and to reveal causal relationships with aggression and related traits.
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- 2021
9. Correction to: Heritability estimates for 361 blood metabolites across 40 genome-wide association studies (vol 11, 39, 2020)
- Author
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Hagenbeek, F.A., Pool, R., Dongen, J. van, Draisma, H.M., Hottenga, J.J., Willemsen, G., Abdellaoui, A., Fedko, I.O., Braber, A. den, Visser, P.J., Geus, E.J.C.N. de, Duijn, C.M. van, Harms, A.C., Bartels, M., Nivard, M.G., Boomsma, D.I., Hankemeier, T., Beulens, J.W., Rutters, F., Flier, W.M. van der, Hart, L.M., Bom, J.A. van der, Kloppenburg, M., Harst, P. van der, Bomer, N., Hilten, J.A. van, So-Osman, C., Meessen, J.M.T.A., Fu, J., Wijmenga, C., Zhernikova, A., Slofstra, M., Swertz, M., Onderwater, G.L.J., Terwindt, G.M., Heijden, A.A.W.A. van der, Asselbergs, F.W., Boersma, E., Elders, P.M., Geleijnse, J.M., Ikram, M.A., Mooijaart, S.P., Nelissen, R.G.H.H., Netea, M.G., Penninx, B.W.J.H., Stehouwer, C.D.A., Kallen, C.J.H. van der, Greevenbroek, M.M.J. van, Teunissen, C.E., Maagdenberg, A.M.J.M. van den, Spil, W.E. van, Zwinderman, A.H., Jukema, J.W., Mei, H., Akker, E.B. van den, Deelen, J., Horst I.C.C. van der, Reinders M.J.T., and Abdel Abdellaoui
- Abstract
Correction to: Nature Communications https://doi.org/10.1038/s41467-019-13770-6, published online 7 January 2020.The original version of the Supplementary Information associated with this Article included an incorrect Supplementary Data 1 file, in which additional delimiters were included in the first column for a number of rows, resulting in column shifts for some of these rows. The HTML has been updated to include a corrected version of Supplementary Data 1; the original incorrect version of Supplementary Data 1 can be found as Supplementary Information associated with this Correction.
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- 2020
10. A characterization of cis- and trans-heritability of RNA-Seq-based gene expression
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Ouwens, K.G., Jansen, R., Nivard, M.G., Dongen, J. van, Frieser, M.J., Hottenga, J.J., Arindrarto, W., Claringbould, A., Iterson, M. van, Mei, H.L., Franke, L., Heijmans, B.T., Hoen, P.A.C. 't, Meurs, J. van, Brooks, A.I., Penninx, B.W.J.H., Boomsma, D.I., Isaacs, A., Pool, R., Greevenbroek, M.M.J. van, Stehouwer, C.D.A., Kallen, C.J.H. van der, Schalkwijk, C.G., Wijmenga, C., Zhernakova, S., Tigchelaar, E.F., Slagboom, P.E., Beekman, M., Deelen, J., Heemst, D. van, Veldink, J.H., Berg, L.H. van den, Duijn, C.M. van, Hofman, B.A., Uitterlinden, A.G., Jhamai, P.M., Verbiest, M., Suchiman, H.E.D., Verkerk, M., Breggen, R. van der, Rooij, J. van, Lakenberg, N., Galen, M. van, Bot, J., Zhernakova, D.V., van't Hof, P., Deelen, P., Nooren, I., Moed, M., Vermaat, M., Luijk, R., Bonder, M.J., Dijk, F. van, Kielbasa, S.M., Swertz, M.A., Zwet, E.W. van, Hoen, P.B. 't, BIOS Consortium, Biological Psychology, APH - Mental Health, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, APH - Methodology, Internal Medicine, Epidemiology, Interne Geneeskunde, RS: Carim - V01 Vascular complications of diabetes and metabolic syndrome, MUMC+: Centrum voor Chronische Zieken (3), MUMC+: MA Med Staf Artsass Interne Geneeskunde (9), MUMC+: HVC Pieken Maastricht Studie (9), MUMC+: MA Interne Geneeskunde (3), Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Digital Health, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Department of Health and Life Sciences, Translational Immunology Groningen (TRIGR), and Stem Cell Aging Leukemia and Lymphoma (SALL)
- Subjects
Adult ,Male ,Netherlands Twin Register (NTR) ,Adolescent ,Genotype ,Dizygotic twin ,Quantitative Trait Loci ,Monozygotic twin ,Genome-wide association study ,Single-nucleotide polymorphism ,Biology ,Quantitative trait locus ,Polymorphism, Single Nucleotide ,Article ,03 medical and health sciences ,Quantitative Trait, Heritable ,AGE ,SDG 3 - Good Health and Well-being ,Twins, Dizygotic ,Genetics ,Humans ,RNA-Seq ,Genetics (clinical) ,Aged ,0303 health sciences ,030305 genetics & heredity ,Twins, Monozygotic ,Middle Aged ,Heritability ,Twin study ,Expression quantitative trait loci ,Female ,Gene-Environment Interaction ,Nanomedicine Radboud Institute for Molecular Life Sciences [Radboudumc 19] ,Genome-Wide Association Study - Abstract
Insights into individual differences in gene expression and its heritability (h2) can help in understanding pathways from DNA to phenotype. We estimated the heritability of gene expression of 52,844 genes measured in whole blood in the largest twin RNA-Seq sample to date (1497 individuals including 459 monozygotic twin pairs and 150 dizygotic twin pairs) from classical twin modeling and identity-by-state-based approaches. We estimated for each gene h2total, composed of cis-heritability (h2cis, the variance explained by single nucleotide polymorphisms in the cis-window of the gene), and trans-heritability (h2res, the residual variance explained by all other genome-wide variants). Mean h2total was 0.26, which was significantly higher than heritability estimates earlier found in a microarray-based study using largely overlapping (>60%) RNA samples (mean h2 = 0.14, p = 6.15 × 10−258). Mean h2cis was 0.06 and strongly correlated with beta of the top cis expression quantitative loci (eQTL, ρ = 0.76, p −308) and with estimates from earlier RNA-Seq-based studies. Mean h2res was 0.20 and correlated with the beta of the corresponding trans-eQTL (ρ = 0.04, p −3) and was significantly higher for genes involved in cytokine-cytokine interactions (p = 4.22 × 10−15), many other immune system pathways, and genes identified in genome-wide association studies for various traits including behavioral disorders and cancer. This study provides a thorough characterization of cis- and trans-h2 estimates of gene expression, which is of value for interpretation of GWAS and gene expression studies.
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- 2020
11. Heritability estimates for 361 blood metabolites across 40 genome-wide association studies
- Author
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Hagenbeek, F.A., Pool, R., Dongen, J. van, Draisma, H.H.M., Hottenga, J.J., Willemsen, G., Abdellaoui, A., Fedko, I.O., Braber, A. den, Visser, P.J., Geus, E.J.C.N. de, Dijk, K.W. van, Verhoeven, A., Suchiman, H.E., Beekman, M., Slagboom, P.E., Duijn, C.M. van, Harms, A.C., Hankemeier, T., Bartels, M., Nivard, M.G., Boomsma, D.I., Wolf, J.J.H.B., Cats, D., Amin, N., Beulens, J.W., Bom, J.A. van der, Bomer, N., Demirkan, A., Hilten, J.A. van, Meessen, J.M.T.A., Moed, M.H., Fu, J., Onderwater, G.L.J., Rutters, F., So-Osman, C., Flier, W.M. van der, Heijden, A.A.W.A. van der, Spek, A. van der, Asselbergs, F.W., Boersma, E., Elders, P.M., Geleijnse, J.M., Ikram, M.A., Kloppenburg, M., Meulenbelt, I., Mooijaart, S.P., Nelissen, R.G.H.H., Netea, M.G., Penninx, B.W.J.H., Stehouwer, C.D.A., Teunissen, C.E., Terwindt, G.M., Hart, L.M. 't, Maagdenberg, A.M.J.M. van den, Harst, P. van der, Horst, I.C.C. van der, Kallen, C.J.H. van der, Greevenbroek, M.M.J. van, Spil, W.E. van, Wijmenga, C., Zwinderman, A.H., Zhernikova, A., Jukema, J.W., Mei, H., Slofstra, M., Swertz, M., Akker, E.B. van den, Deelen, J., Reinders, M.J.T., BBMRI Metabolomics Consortium, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Critical care, Anesthesiology, Peri-operative and Emergency medicine (CAPE), Cardiovascular Centre (CVC), Center for Liver, Digestive and Metabolic Diseases (CLDM), Neurology, Epidemiology and Data Science, ACS - Heart failure & arrhythmias, APH - Health Behaviors & Chronic Diseases, General practice, APH - Methodology, Amsterdam Reproduction & Development (AR&D), APH - Mental Health, Amsterdam Neuroscience - Complex Trait Genetics, Psychiatry, Laboratory Medicine, Other Research, APH - Aging & Later Life, APH - Personalized Medicine, APH - Digital Health, ACS - Diabetes & metabolism, Adult Psychiatry, Epidemiology, Cardiology, Radiology & Nuclear Medicine, Biological Psychology, Psychiatrie & Neuropsychologie, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, MUMC+: HVC Pieken Maastricht Studie (9), MUMC+: MA Interne Geneeskunde (3), Interne Geneeskunde, MUMC+: Centrum voor Chronische Zieken (3), MUMC+: MA Med Staf Artsass Interne Geneeskunde (9), MUMC+: MA Endocrinologie (9), MUMC+: MA Maag Darm Lever (9), MUMC+: MA Hematologie (9), MUMC+: MA Medische Oncologie (9), MUMC+: MA Nefrologie (9), MUMC+: MA Reumatologie (9), and RS: Carim - V01 Vascular complications of diabetes and metabolic syndrome
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Netherlands Twin Register (NTR) ,0301 basic medicine ,SELECTION ,Quantitative trait loci ,Nutrition and Disease ,DATABASE ,Metabolite ,Science ,lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4] ,General Physics and Astronomy ,Genome-wide association study ,VARIANCE-ESTIMATION ,Biology ,Quantitative trait locus ,GENOTYPE IMPUTATION ,METABOLOMICS ,BIOBANK ,Genome-wide association studies ,General Biochemistry, Genetics and Molecular Biology ,Article ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Metabolomics ,All institutes and research themes of the Radboud University Medical Center ,Missing heritability problem ,MISSING HERITABILITY ,Voeding en Ziekte ,Genetic variation ,Life Science ,NETHERLANDS TWIN REGISTER ,lcsh:Science ,VLAG ,Genetics ,Multidisciplinary ,General Chemistry ,Heritability ,Genetic architecture ,030104 developmental biology ,chemistry ,Lipidomics ,lcsh:Q ,030217 neurology & neurosurgery - Abstract
Metabolomics examines the small molecules involved in cellular metabolism. Approximately 50% of total phenotypic differences in metabolite levels is due to genetic variance, but heritability estimates differ across metabolite classes. We perform a review of all genome-wide association and (exome-) sequencing studies published between November 2008 and October 2018, and identify >800 class-specific metabolite loci associated with metabolite levels. In a twin-family cohort (N = 5117), these metabolite loci are leveraged to simultaneously estimate total heritability (h2total), and the proportion of heritability captured by known metabolite loci (h2Metabolite-hits) for 309 lipids and 52 organic acids. Our study reveals significant differences in h2Metabolite-hits among different classes of lipids and organic acids. Furthermore, phosphatidylcholines with a high degree of unsaturation have higher h2Metabolite-hits estimates than phosphatidylcholines with low degrees of unsaturation. This study highlights the importance of common genetic variants for metabolite levels, and elucidates the genetic architecture of metabolite classes., Blood metabolite levels are under the influence of environmental and genetic factors. Here, Hagenbeek et al. perform heritability estimations for metabolite measures and determine the contribution of known metabolite loci to metabolite levels using data from 40 genome-wide association studies.
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- 2020
12. Appointing nurses trained in organ donation to improve family consent rates
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Witjes, M., Jansen, N.E., Dongen, J. Van, Herold, I.H.F., Otterspoor, L., Haase-Kromwijk, B., Hoeven, J.G. van der, Abdo, W.F., Witjes, M., Jansen, N.E., Dongen, J. Van, Herold, I.H.F., Otterspoor, L., Haase-Kromwijk, B., Hoeven, J.G. van der, and Abdo, W.F.
- Abstract
Contains fulltext : 225441.pdf (Publisher’s version ) (Open Access), BACKGROUND: One of the most important bottlenecks in the organ donation process worldwide is the high family refusal rate. AIMS AND OBJECTIVES: The main aim of this study was to examine whether family guidance by trained donation practitioners increased the family consent rate for organ donation. DESIGN: This was a prospective intervention study. METHODS: Intensive and coronary care unit nurses were trained in communication about donation (ie, trained donation practitioners) in two hospitals. The trained donation practitioners were appointed to guide the families of patients with a poor medical prognosis. When the patient became a potential donor, the trained donation practitioner was there to guide the family in making a well-considered decision about donation. We compared the family consent rate for donation with and without the guidance of a trained donation practitioner. RESULTS: The consent rate for donation with guidance by a trained donation practitioner was 58.8% (20/34), while the consent rate without guidance by a trained donation practitioner was 41.4% (41/99, P = 0.110) in those patients where the family had to decide on organ donation. CONCLUSIONS: Our data suggest that family guidance by a trained donation practitioner could benefit consent rates for organ donation. RELEVANCE TO CLINICAL PRACTICE: Trained nurses play an important role in supporting the families of patients who became potential donors to guide them through the decision-making process after organ donation request.
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- 2020
13. Validated inference of smoking habits from blood with a finite DNA methylation marker set
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Maas, S.C.E., Vidaki, A., Wilson, R., Teumer, A., Liu, F., Meurs, J.B.J. van, Uitterlinden, A.G., Boomsma, D.I., Geus, E.J.C. de, Willemsen, G., Dongen, J. van, Kallen, C.J.H. van der, Slagboom, P.E., Beekman, M., Heemst, D. van, Berg, L.H. van den, Duijts, L., Jaddoe, V.W.V., Ladwig, K.H., Kunze, S., Peters, A., Ikram, M.A., Grabe, H.J., Felix, J.F., Waldenberger, M., Franco, O.H., Ghanbari, M., Kayser, M., and BIOS Consortium
- Subjects
DNA methylation ,Epidemiology ,Epigenetics ,Smoking inference ,Forensics - Abstract
Inferring a person's smoking habit and history from blood is relevant for complementing or replacing self-reports in epidemiological and public health research, and for forensic applications. However, a finite DNA methylation marker set and a validated statistical model based on a large dataset are not yet available. Employing 14 epigenome-wide association studies for marker discovery, and using data from six population-based cohorts (N = 3764) for model building, we identified 13 CpGs most suitable for inferring smoking versus non-smoking status from blood with a cumulative Area Under the Curve (AUC) of 0.901. Internal fivefold cross-validation yielded an average AUC of 0.897 +/- 0.137, while external model validation in an independent population-based cohort (N = 1608) achieved an AUC of 0.911. These 13 CpGs also provided accurate inference of current (average AUC(crossvalidation) 0.925 +/- 0.021, AUC(externalvalidation)0.914), former (0.766 +/- 0.023, 0.699) and never smoking (0.830 +/- 0.019, 0.781) status, allowed inferring pack-years in current smokers (10 pack-years 0.800 +/- 0.068, 0.796; 15 pack-years 0.767 +/- 0.102, 0.752) and inferring smoking cessation time in former smokers (5 years 0.774 +/- 0.024, 0.760; 10 years 0.766 +/- 0.033, 0.764; 15 years 0.767 +/- 0.020, 0.754). Model application to children revealed highly accurate inference of the true non- smoking status (6 years of age: accuracy 0.994, N = 355; 10 years: 0.994, N = 309), suggesting prenatal and passive smoking exposure having no impact on model applications in adults. The finite set of DNA methylation markers allow accurate inference of smoking habit, with comparable accuracy as plasma cotinine use, and smoking history from blood, which we envision becoming useful in epidemiology and public health research, and in medical and forensic applications.
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- 2019
14. Circulating metabolites and general cognitive ability and dementia: Evidence from 11 cohort studies (vol 14, pg 707, 2018)
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Lee, S.J. van der, Teunissen, C.E., Pool, R., Shipley, M.J., Teumer, A., Chouraki, V., Lent, D.M. van, Tynkkynen, J., Fischer, K., Hernesniemi, J., Haller, T., Singh-Manoux, A., Verhoeven, A., Willemsen, G., Leeuw, F.A. de, Wagner, H., Dongen, J. van, Hertel, J., Budde, K., Dijk, K.W. van, Weinhold, L., Ikram, M.A., Pietzner, M., Perola, M., Wagner, M., Friedrich, N., Slagboom, P.E., Scheltens, P., Yang, Q., Gertzen, R.E., Egert, S., Li, S., Hankemeier, T., Beijsterveldt, C.E.M. van, Vasan, R.S., Maier, W., Peeters, C.F.W., Grabe, H.J., Ramirez, A., Seshadri, S., Metspalu, A., Kivimaki, M., Salomaa, V., Demirkan, A., Boomsma, D.I., Flier, W.M. van der, Amin, N., and Duijn, C.M. van
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- 2019
15. Erratum to: Circulating metabolites and general cognitive ability and dementia: Evidence from 11 cohort studies (vol 14, pg 707, 2018)
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Lee, S.J. van der, Teunissen, C.E., Pool, R., Shipley, M.J., Teumer, A., Chouraki, V., Lent, D.M. van, Tynkkynen, J., Fischer, K., Hernesniemi, J., Haller, T., Singh-Manoux, A., Verhoeven, A., Willemsen, G., Leeuw, F.A. de, Wagner, H., Dongen, J. van, Hertel, J., Budde, K., Dijk, K.W. van, Weinhold, L., Ikram, M.A., Pietzner, M., Perola, M., Wagner, M., Friedrich, N., Slagboom, P.E., Scheltens, P., Yang, Q., Gertzen, R.E., Egert, S., Li, S., Hankemeier, T., Beijsterveldt, C.E.M. van, Vasan, R.S., Maier, W., Peeters, C.F.W., Grabe, H.J., Ramirez, A., Seshadri, S., Metspalu, A., Kivimaki, M., Salomaa, V., Demirkan, A., Boomsma, D.I., Flier, W.M. van der, Amin, N., and Duijn, C.M. van
- Abstract
Erratum to: https://doi.org/10.1016/j.jalz.2019.01.002
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- 2019
16. ‘A New Scientific Conception of the Human World’: Anton Pannekoek’s Understanding of Scientific Socialism
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Steen, B.S. van der, Tai, C., and Dongen, J. van
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History of Science ,Technology ,Political History ,Astronomy ,Socialism ,History of Science , Technology - Abstract
This paper sets out to reconstruct Pannekoek’s understanding of scientific socialism in order to reconnect Pannekoek’s political and astronomical work. It does so through a close reading of Pannekoek’s early socialist essays, where he repeatedly referred to socialism’s scientific character, explaining it in various ways. From this reading, three different but closely related conceptions of scientific socialism can be abstracted. For Pannekoek, socialism was scientific in that it embraced modern science, in that it supposedly uncovered the laws of societal development, and in that it foretold the advent of socialism. The paper shows how, for Pannekoek, socialism was the only ideology with a true interest in scientific research and findings. This line of reasoning allowed Pannekoek to connect his astronomical and socialist persona.
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- 2019
17. Epigenome-wide Association Study of Attention-Deficit/Hyperactivity Disorder Symptoms in Adults
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Dongen, J. Van, Zilhao, N.R., Sugden, K., Hannon, E.J., Mill, J., Caspi, A., Agnew-Blais, J., Arseneault, L., Corcoran, D.L., Moffitt, T.E., Poulton, R., Franke, B., Boomsma, D.I., Zwet, E.W. van, Hoen, P.B. 't, Dongen, J. Van, Zilhao, N.R., Sugden, K., Hannon, E.J., Mill, J., Caspi, A., Agnew-Blais, J., Arseneault, L., Corcoran, D.L., Moffitt, T.E., Poulton, R., Franke, B., Boomsma, D.I., Zwet, E.W. van, and Hoen, P.B. 't
- Abstract
Contains fulltext : 209008.pdf (publisher's version ) (Open Access), BACKGROUND: Previous studies have reported associations between attention-deficit/hyperactivity disorder symptoms and DNA methylation in children. We report the first epigenome-wide association study meta-analysis of adult attention-deficit/hyperactivity disorder symptoms, based on peripheral blood DNA methylation (Infinium HumanMethylation450K array) in three population-based adult cohorts. METHODS: An epigenome-wide association study was performed in the Netherlands Twin Register (N = 2258, mean age 37 years), Dunedin Multidisciplinary Health and Development Study (N = 800, age 38 years), and Environmental Risk Longitudinal Twin Study (N = 1631, age 18 years), and results were combined through meta-analysis (total sample size N = 4689). Region-based analyses accounting for the correlation between nearby methylation sites were also performed. RESULTS: One epigenome-wide significant differentially methylated position was detected in the Dunedin study, but meta-analysis did not detect differentially methylated positions that were robustly associated across cohorts. In region-based analyses, six significant differentially methylation regions (DMRs) were identified in the Netherlands Twin Register, 19 in the Dunedin study, and none in the Environmental Risk Longitudinal Twin Study. Of these DMRs, 92% were associated with methylation quantitative trait loci, and 68% showed moderate to large blood-brain correlations for DNA methylation levels. DMRs included six nonoverlapping DMRs (three in the Netherlands Twin Register, three in the Dunedin study) in the major histocompatibility complex, which were associated with expression of genes in the major histocompatibility complex, including C4A and C4B, previously implicated in schizophrenia. CONCLUSIONS: Our findings point at new candidate loci involved in immune and neuronal functions that await further replication. Our work also illustrates the need for further research to examine to what extent epigenetic associations with
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- 2019
18. LOCAL ONCOLYTIC ADENOVIRUS TREATMENT AFFECTS BOTH THE INNATE AND ADAPTIVE ARMS OF THE IMMUNE SYSTEM AND PROVIDES AN AVENUE FOR ENHANCING IMMUNOTHERAPIES FOR GBM
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Lamfers, M., Belcaid, Z., Bossche, W. van den, Kleijn, A., Berrevoets, C., Lamers, C., Teunissen, C., Noske, D., Lim, M., Sleijfer, S., Debets, R., Dongen, J. van, and Dirven, C.
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- 2018
19. BASOPHIL-LINEAGE COMMITMENT IN ACUTE PROMYELOCYTIC LEUKEMIA PREDICTS FOR SEVERE BLEEDING AFTER STARTING THERAPY
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Matarraz, S., Leoz, P., Fernandez, C., Colado, E., Chillon, C., Vidriales, B., Gonzalez, M., Salvador, C., Caballero-Velazquez, T., Velden, V. van der, Bermejo, A.Y., Gutierrez, O., Mayado, A., Gutierrez, L., Dongen, J. van, and Orfao, A.
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- 2018
20. DETECTION OF CLONAL PLASMA CELL IN PERIPHERAL BLOOD BY NEXT GENERATION FLOW IN MULTIPLE MYELOMA PATIENTS DURING TREATMENT. RELATIONSHIP WITH BONE MARROW AND SERUM IMMUNOFIXATION
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Flores, L.S., Flores-Montero, J., Contreras-Sanfelicia, T., Corral-Mateos, A., Puig, N., Garcia-Sanchez, O., Diez-Campelo, M., Pontes, R., Gonzales, M., Mateos, M.V., Durie, B., Dongen, J. van, and Orfao, A.
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- 2018
21. Adult aggressive behavior in humans and biomarkers: A focus on lipids and methylation
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Hagenbeek, F.A., Dongen, J. van, Kluft, C., Hankemeier, T., Ligthart, L., Willemsen, G., Geus, E.J.C. de, Vink, J.M., Bartels, M., Boomsma, D.I., Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Mental Health, APH - Personalized Medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, and APH - Methodology
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lipids ,Netherlands Twin Register (NTR) ,epigenetics ,lcsh:R ,lcsh:RJ1-570 ,discordant twin pairs ,lcsh:Medicine ,biomarkers ,lcsh:Pediatrics ,lipids (amino acids, peptides, and proteins) ,Developmental Psychopathology ,Adult aggression - Abstract
Contains fulltext : 198624.pdf (Publisher’s version ) (Open Access) Aggression shows large variation between individuals, with about 50% explained by genetic factors. Biomarkers related to aggression have been reported for lipid metabolism and for epigenetic marks. Methylation and blood lipid levels are not independent and differential methylation can be a consequence of variation in blood lipid levels. We hypothesized that the methylation level of such loci in blood can inform us if aggression is associated with long-term exposure to lipid levels. If this is the case, we expect to find that loci where methylation levels are influenced by lipid levels to show differential methylation in aggressive individuals. Such loci might complement classic lipid level measures as a biomarker for lipid-related disturbances in aggression. As a first step, we examined the association of lipid levels and related biomarkers with aggression in a large adult population cohort (N = 5,588) and in 31 monozygotic (MZ) twin pairs who were discordant for aggression, as well as 12 extremely discordant MZ pairs. Biomarkers were not significantly associated with aggression in the population cohort. In the discordant MZ pairs we identified significant within-pair differences for glucose and marginally significant differences for lipids and cytokines, with the more aggressive twin showing lower levels of glucose and low density lipoprotein cholesterol and higher levels of fibrinogen, C-reactive protein and interleukin-6. The analysis of epigenetic data in the MZ pairs discordant for aggression did not show enrichment for lipid cytosine guanine dinucleotides (CpGs) and we observed no enrichment of lipid CpGs in an epigenome-wide association study of aggression in the population cohort. These results did not support the hypothesis that lipid CpGs show differential methylation in adult aggression. A next step will be to examine the role of biomarkers in aggression across the lifespan, including childhood, and to explore a more holistic biomarker approach, such as offered by metabolomics. 13 p.
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- 2018
22. Blood lipids influence DNA methylation in circulating cells
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Dekkers, K.F., Iterson, M. van, Slieker, R.C., Moed, M.H., Bonder, M.J., Galen, M. van, Mei, H.L., Zhernakova, D.V., Berg, L.H. van den, Deelen, J., Dongen, J. van, Heemst, D. van, Hofman, A., Hottenga, J.J., Kallen, C.J.H. van der, Schalkwijk, C.G., Stehouwer, C.D.A., Tigchelaar, E.F., Uitterlinden, A.G., Willemsen, G., Zhernakova, A., Franke, L., Hoen, P.A.C. 't, Jansen, R., Meurs, J. van, Boomsma, D.I., Duijn, C.M. van, Greevenbroek, M.M.J. van, Veldink, J.H., Wijmenga, C., Zwet, E.W. van, Slagboom, P.E., Jukema, J.W., Heijmans, B.T., BIOS Consortium, Amsterdam Neuroscience - Complex Trait Genetics, Biological Psychology, RS: CARIM - R3.01 - Vascular complications of diabetes and the metabolic syndrome, Interne Geneeskunde, MUMC+: HVC Pieken Maastricht Studie (9), MUMC+: MA Interne Geneeskunde (3), Epidemiology, Internal Medicine, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Translational Immunology Groningen (TRIGR), Stem Cell Aging Leukemia and Lymphoma (SALL), Epidemiology and Data Science, Laboratory Medicine, and Psychiatry
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0301 basic medicine ,Netherlands Twin Register (NTR) ,Blood lipids ,030204 cardiovascular system & hematology ,Biology ,Bioinformatics ,Epigenesis, Genetic ,NORMALIZATION ,lipids ,Random Allocation ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,MICROARRAY ,Mendelian randomization ,Journal Article ,Humans ,EPIDEMIOLOGY ,Epigenetics ,CPT1A LOCUS ,POPULATION ,EPIGENOME-WIDE ASSOCIATION ,Molecular Epidemiology ,DNA methylation ,PLASMA ,Cholesterol ,Research ,CHOLESTEROL ,Mendelian Randomization Analysis ,Lipid metabolism ,3. Good health ,Phenotype ,030104 developmental biology ,chemistry ,ATHEROSCLEROSIS ,lipids (amino acids, peptides, and proteins) ,Gene expression ,Lipoprotein - Abstract
Background Cells can be primed by external stimuli to obtain a long-term epigenetic memory. We hypothesize that long-term exposure to elevated blood lipids can prime circulating immune cells through changes in DNA methylation, a process that may contribute to the development of atherosclerosis. To interrogate the causal relationship between triglyceride, low-density lipoprotein (LDL) cholesterol, and high-density lipoprotein (HDL) cholesterol levels and genome-wide DNA methylation while excluding confounding and pleiotropy, we perform a stepwise Mendelian randomization analysis in whole blood of 3296 individuals. Results This analysis shows that differential methylation is the consequence of inter-individual variation in blood lipid levels and not vice versa. Specifically, we observe an effect of triglycerides on DNA methylation at three CpGs, of LDL cholesterol at one CpG, and of HDL cholesterol at two CpGs using multivariable Mendelian randomization. Using RNA-seq data available for a large subset of individuals (N = 2044), DNA methylation of these six CpGs is associated with the expression of CPT1A and SREBF1 (for triglycerides), DHCR24 (for LDL cholesterol) and ABCG1 (for HDL cholesterol), which are all key regulators of lipid metabolism. Conclusions Our analysis suggests a role for epigenetic priming in end-product feedback control of lipid metabolism and highlights Mendelian randomization as an effective tool to infer causal relationships in integrative genomics data. Electronic supplementary material The online version of this article (doi:10.1186/s13059-016-1000-6) contains supplementary material, which is available to authorized users.
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- 2016
23. Age-related accrual of methylomic variability is linked to fundamental ageing mechanisms
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Slieker, R.C., Iterson, M. van, Luijk, R., Beekman, M., Zhernakova, D.V., Moed, M.H., Mei, H.L., Galen, M. van, Deelen, P., Bonder, M.J., Zhernakova, A., Uitterlinden, A.G., Tigchelaar, E.F., Stehouwer, C.D.A., Schalkwijk, C.G., Kallen, C.J.H. van der, Hofman, A., Heemst, D. van, Geus, E.J. de, Dongen, J. van, Deelen, J., Berg, L.H. van den, Meurs, J. van, Jansen, R., Hoen, P.A.C. 't, Franke, L., Wijmenga, C., Veldink, J.H., Swertz, M.A., Greevenbroek, M.M.J. van, Duijn, C.M. van, Boomsma, D.I., Slagboom, P.E., Heijmans, B.T., BIOS Consortium, Epidemiology and Data Science, Laboratory Medicine, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Internal Medicine, Epidemiology, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Translational Immunology Groningen (TRIGR), Stem Cell Aging Leukemia and Lymphoma (SALL), MUMC+: HVC Pieken Maastricht Studie (9), RS: CARIM - R3.01 - Vascular complications of diabetes and the metabolic syndrome, Interne Geneeskunde, MUMC+: MA Interne Geneeskunde (3), and Biological Psychology
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0301 basic medicine ,Netherlands Twin Register (NTR) ,DNA damage ,DNA repair ,HYPOMETHYLATION ,Biology ,DNA-METHYLATION CHANGES ,03 medical and health sciences ,Epigenetics of physical exercise ,SDG 3 - Good Health and Well-being ,Journal Article ,SDG 14 - Life Below Water ,Variability ,Gene ,GENE-EXPRESSION ,Genetics ,DAMAGE ,DNA methylation ,Research ,WIDE ,Methylation ,REGIONS ,CANCER ,3. Good health ,450k ,GENOME ,Ageing ,030104 developmental biology ,CpG site ,UPDATE ,STEM-CELLS - Abstract
Background Epigenetic change is a hallmark of ageing but its link to ageing mechanisms in humans remains poorly understood. While DNA methylation at many CpG sites closely tracks chronological age, DNA methylation changes relevant to biological age are expected to gradually dissociate from chronological age, mirroring the increased heterogeneity in health status at older ages. Results Here, we report on the large-scale identification of 6366 age-related variably methylated positions (aVMPs) identified in 3295 whole blood DNA methylation profiles, 2044 of which have a matching RNA-seq gene expression profile. aVMPs are enriched at polycomb repressed regions and, accordingly, methylation at those positions is associated with the expression of genes encoding components of polycomb repressive complex 2 (PRC2) in trans. Further analysis revealed trans-associations for 1816 aVMPs with an additional 854 genes. These trans-associated aVMPs are characterized by either an age-related gain of methylation at CpG islands marked by PRC2 or a loss of methylation at enhancers. This distinct pattern extends to other tissues and multiple cancer types. Finally, genes associated with aVMPs in trans whose expression is variably upregulated with age (733 genes) play a key role in DNA repair and apoptosis, whereas downregulated aVMP-associated genes (121 genes) are mapped to defined pathways in cellular metabolism. Conclusions Our results link age-related changes in DNA methylation to fundamental mechanisms that are thought to drive human ageing. Electronic supplementary material The online version of this article (doi:10.1186/s13059-016-1053-6) contains supplementary material, which is available to authorized users.
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- 2016
24. Epigenome-Wide Association Study of Aggressive Behavior
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Dongen, J. van, Nivard, M.G., Baselmans, B.M.L., Zilhao, N.R., Ligthart, L., Heijmans, B.T., Bartels, M., Boomsma, D.I., BIOS Consortium, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Mental Health, and Biological Psychology
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Adult ,Male ,Netherlands Twin Register (NTR) ,Poison control ,Genome-wide association study ,Biology ,Epigenesis, Genetic ,Gene expression ,aggressive ,Humans ,Epigenetics ,Gene ,Genetics (clinical) ,EWAS ,Genetics ,DNA methylation ,epigenetics ,aggression ,Obstetrics and Gynecology ,Twins, Monozygotic ,Methylation ,twins ,450k ,Pediatrics, Perinatology and Child Health ,Female ,Genome-Wide Association Study ,Blood sampling - Abstract
Aggressive behavior is highly heritable, while environmental influences, particularly early in life, are also important. Epigenetic mechanisms, such as DNA methylation, regulate gene expression throughout development and adulthood, and may mediate genetic and environmental effects on complex traits. We performed an epigenome-wide association study (EWAS) to identify regions in the genome where DNA methylation level is associated with aggressive behavior. Subjects took part in longitudinal survey studies from the Netherlands Twin Register (NTR) and participated in the NTR biobank project between 2004 and 2011 (N = 2,029, mean age at blood sampling = 36.4 years, SD = 12.4, females = 69.2%). Aggressive behavior was rated with the ASEBA Adult Self-Report (ASR). DNA methylation was measured in whole blood by the Illumina HM450k array. The association between aggressive behavior and DNA methylation level at 411,169 autosomal sites was tested. Association analyses in the entire cohort showed top sites at cg01792876 (chr8; 116,684,801, nearest gene = TRPS1, p = 7.6 × 10−7, False discovery rate (FDR) = 0.18) and cg06092953 (chr18; 77,905,699, nearest gene = PARD6G-AS1, p = 9.0 ×10−7, FDR = 0.18). Next, we compared methylation levels in 20 pairs of monozygotic (MZ) twins highly discordant for aggression. Here the top sites were cg21557159 (chr 11; 107,795,699, nearest gene = RAB39, p = 5.7 × 10−6, FDR = 0.99), cg08648367 (chr 19; 51,925,472, nearest gene = SIGLEC10, p = 7.6 × 10−6, FDR = 0.99), and cg14212412 (chr 6; 105,918,992, nearest gene = PREP, p = 8.0 × 10−6, FDR = 0.99). The two top hits based on the entire cohort showed the same direction of effect in discordant MZ pairs (cg01792876, Pdiscordant twins = 0.09 and cg06092953, Pdiscordant twins = 0.24). The other way around, two of the three most significant sites in discordant MZ pairs showed the same direction of effect in the entire cohort (cg08648367, Pentire EWAS = 0.59 and cg14212412, Pentire EWAS = 3.1 × 10−3). Gene ontology analysis highlighted significant enrichment of various central nervous system categories among higher-ranking methylation sites. Higher-ranking methylation sites also showed enrichment for DNase I hypersensitive sites and promoter regions, showing that DNA methylation in peripheral tissues is likely to be associated with aggressive behavior.
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- 2015
25. Evaluatie Wet Voorzieningen Gehandicapten : decentralisatie naar gemeenten een succes?
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Dongen, J. van, Dongen, J. van, Dongen, J. van, and Dongen, J. van
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- 2003
26. Multiethnic meta-analysis of genome-wide association studies in >100 000 subjects identifies 23 fibrinogen-associated Loci but no strong evidence of a causal association between circulating fibrinogen and cardiovascular disease
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Sabater-Lleal, M., Huang, J., Chasman, D., Naitza, S., Dehghan, A., Johnson, A.D., Teumer, A., Reiner, A.P., Folkersen, L., Basu, S., Rudnicka, A.R., Trompet, S., Malarstig, A., Baumert, J., Bis, J.C., Guo, X.Q., Hottenga, J.J., Shin, S.Y., Lopez, L.M., Lahti, J., Tanaka, T., Yanek, L.R., Oudot-Mellakh, T., Wilson, J.F., Navarro, P., Huffman, J.E., Zemunik, T., Redline, S., Mehra, R., Pulanic, D., Rudan, I., Wright, A.F., Kolcic, I., Polasek, O., Wild, S.H., Campbell, H., Curb, J.D., Wallace, R., Liu, S.M., Eaton, C.B., Becker, D.M., Becker, L.C., Bandinelli, S., Raikkonen, K., Widen, E., Palotie, A., Fornage, M., Green, D., Gross, M., Davies, G., Harris, S.E., Liewald, D.C., Starr, J.M., Williams, F.M.K., Grant, P.J., Spector, T.D., Strawbridge, R.J., Silveira, A., Sennblad, B., Rivadeneira, F., Uitterlinden, A.G., Franco, O.H., Hofman, A., Dongen, J. van, Willemsen, G., Boomsma, D.I., Yao, J., Jenny, N.S., Haritunians, T., McKnight, B., Lumley, T., Taylor, K.D., Rotter, J.I., Psaty, B.M., Peters, A., Gieger, C., Illig, T., Grotevendt, A., Homuth, G., Volzke, H., Kocher, T., Goel, A., Franzosi, M.G., Seedorf, U., Clarke, R., Steri, M., Tarasov, K.V., Sanna, S., Schlessinger, D., Stott, D.J., Sattar, N., Buckley, B.M., Rumley, A., Lowe, G.D., McArdle, W.L., Chen, M.H., Tofler, G.H., Song, J., Boerwinkle, E., Folsom, A.R., Rose, L.M., Franco-Cereceda, A., Teichert, M., Ikram, M.A., Mosley, T.H., Bevan, S., Dichgans, M., Rothwell, P.M., Sudlow, C.L.M., Hopewell, J.C., Chambers, J.C., Saleheen, D., Kooner, J.S., Danesh, J., Nelson, C.P., Erdmann, J., Reilly, M.P., Kathiresan, S., Schunkert, H., Morange, P.E., Ferrucci, L., Eriksson, J.G., Jacobs, D., Deary, I.J., Soranzo, N., Witteman, J.C.M., Geus, E.J.C. de, Tracy, R.P., Hayward, C., Koenig, W., Cucca, F., Jukema, J.W., Eriksson, P., Seshadri, S., Markus, H.S., Watkins, H., Samani, N.J., Wallaschofski, H., Smith, N.L., Tregouet, D., Ridker, P.M., Tang, W.H., Strachan, D.P., Hamsten, A., O'Donnell, C.J., VTE Consortium, STROKE Consortium, WTCCC2, CD4 Consortium, CARDIoGRAM Consortium, Epidemiology, Cell biology, Urology, Internal Medicine, Immunology, Radiology & Nuclear Medicine, Biological Psychology, and EMGO+ - Lifestyle, Overweight and Diabetes
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Male ,Netherlands Twin Register (NTR) ,Pathology ,Myocardial Infarction ,Genome-wide association study ,Coronary Artery Disease ,Disease ,VARIANTS ,030204 cardiovascular system & hematology ,Fibrinogen ,Genome ,0302 clinical medicine ,Risk Factors ,Genotype ,ARTERY-DISEASE ,GENE-EXPRESSION ,Aged, 80 and over ,Genetics ,INDIVIDUAL PARTICIPANT METAANALYSIS ,0303 health sciences ,Hispanic or Latino ,Venous Thromboembolism ,Middle Aged ,3. Good health ,Stroke ,Meta-analysis ,Medical genetics ,Female ,HEALTH ,Cardiology and Cardiovascular Medicine ,medicine.drug ,Adult ,medicine.medical_specialty ,cardiovascular diseases ,fibrinogen ,gene expression ,genome-wide association study ,Adolescent ,Implementation Science [NCEBP 3] ,Black People ,Polymorphism, Single Nucleotide ,White People ,Young Adult ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Physiology (medical) ,medicine ,Humans ,CORONARY-HEART-DISEASE ,HEMOSTASIS ,Genetic Predisposition to Disease ,Aged ,030304 developmental biology ,business.industry ,Heritability ,GENOTYPES ,MYOCARDIAL-INFARCTION ,Genetic Loci ,RISK-FACTORS ,business - Abstract
Background— Estimates of the heritability of plasma fibrinogen concentration, an established predictor of cardiovascular disease, range from 34% to 50%. Genetic variants so far identified by genome-wide association studies explain only a small proportion ( Methods and Results— We conducted a meta-analysis of 28 genome-wide association studies including >90 000 subjects of European ancestry, the first genome-wide association meta-analysis of fibrinogen levels in 7 studies in blacks totaling 8289 samples, and a genome-wide association study in Hispanics totaling 1366 samples. Evaluation for association of single-nucleotide polymorphisms with clinical outcomes included a total of 40 695 cases and 85 582 controls for coronary artery disease, 4752 cases and 24 030 controls for stroke, and 3208 cases and 46 167 controls for venous thromboembolism. Overall, we identified 24 genome-wide significant ( P −8 ) independent signals in 23 loci, including 15 novel associations, together accounting for 3.7% of plasma fibrinogen variation. Gene-set enrichment analysis highlighted key roles in fibrinogen regulation for the 3 structural fibrinogen genes and pathways related to inflammation, adipocytokines, and thyrotrophin-releasing hormone signaling. Whereas lead single-nucleotide polymorphisms in a few loci were significantly associated with coronary artery disease, the combined effect of all 24 fibrinogen-associated lead single-nucleotide polymorphisms was not significant for coronary artery disease, stroke, or venous thromboembolism. Conclusions— We identify 23 robustly associated fibrinogen loci, 15 of which are new. Clinical outcome analysis of these loci does not support a causal relationship between circulating levels of fibrinogen and coronary artery disease, stroke, or venous thromboembolism.
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- 2013
27. THE GENERATION, REPAIR, AND DIFFERENTIATION OF INDUCED PLURIPOTENT STEM CELLS FROM RAG-SCID PATIENTS
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Mikkers, H., Boersma, H., Wiekmeijer, A.S., Pike-Overzet, K., Dongen, J. van, Burg, M. van der, and Staal, F.
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- 2012
28. Pre-emptive allo-immune intervention in high-risk paediatric acute lymphoblastic leukaemia patients guided by minimal residual disease level before stem cell transplantation
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Lankester, A.C., Bierings, M., Wering, E. van, Wijkhuis, A., Weger, R. de, Wijnen, J., Vossen, J., Versluys, B., Egeler, R.M., Tol, M. van, Revesz, T., Dongen, J. van, Velden, V. van der, and Schilham, M.
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- 2010
29. Numerical optimization of actuator trajectories for ITER hybrid scenario profile evolution
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Dongen, J van, primary, Felici, F, additional, Hogeweij, G M D, additional, Geelen, P, additional, and Maljaars, E, additional
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- 2014
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30. High-risk childhood acute lymphoblastic leukemia in first remission treated with novel intensive chemotherapy and allogeneic transplantation.
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Marshall, G.M., Pozza, L. Dalla, Sutton, R., Ng, A., Groot-Kruseman, H.A. de, Velden, V.H. van der, Venn, N.C., Berg, H. van den, Bont, E.S. de, rten Egeler, R. Maa, Hoogerbrugge, P.M., Kaspers, G.J.L., Bierings, M.B., Schoot, E. van der, Dongen, J. Van, Law, T., Cross, S., Mueller, H., Haas, V. de, Haber, M., Revesz, T., Alvaro, F., Suppiah, R., Norris, M.D., Pieters, R., Marshall, G.M., Pozza, L. Dalla, Sutton, R., Ng, A., Groot-Kruseman, H.A. de, Velden, V.H. van der, Venn, N.C., Berg, H. van den, Bont, E.S. de, rten Egeler, R. Maa, Hoogerbrugge, P.M., Kaspers, G.J.L., Bierings, M.B., Schoot, E. van der, Dongen, J. Van, Law, T., Cross, S., Mueller, H., Haas, V. de, Haber, M., Revesz, T., Alvaro, F., Suppiah, R., Norris, M.D., and Pieters, R.
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Item does not contain fulltext, Children with acute lymphoblastic leukemia (ALL) and high minimal residual disease (MRD) levels after initial chemotherapy have a poor clinical outcome. In this prospective, single arm, Phase 2 trial, 111 Dutch and Australian children aged 1-18 years with newly diagnosed, t(9;22)-negative ALL, were identified among 1041 consecutively enrolled patients as high risk (HR) based on clinical features or high MRD. The HR cohort received the AIEOP-BFM (Associazione Italiana di Ematologia ed Oncologia Pediatrica (Italy)-Berlin-Frankfurt-Munster ALL Study Group) 2000 ALL Protocol I, then three novel HR chemotherapy blocks, followed by allogeneic transplant or chemotherapy. Of the 111 HR patients, 91 began HR treatment blocks, while 79 completed the protocol. There were 3 remission failures, 12 relapses, 7 toxic deaths in remission and 10 patients who changed protocol due to toxicity or clinician/parent preference. For the 111 HR patients, 5-year event-free survival (EFS) was 66.8% (+/-5.5) and overall survival (OS) was 75.6% (+/-4.3). The 30 patients treated as HR solely on the basis of high MRD levels had a 5-year EFS of 63% (+/-9.4%). All patients experienced grade 3 or 4 toxicities during HR block therapy. Although cure rates were improved compared with previous studies, high treatment toxicity suggested that novel agents are needed to achieve further improvement.
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- 2013
31. Einstein and the popular image of science in the Netherlands: The Dutch reception of relativity theory in the aftermath of the First World War
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Besouw, J. van, Dongen, J. van (Thesis Advisor), Besouw, J. van, and Dongen, J. van (Thesis Advisor)
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Albert Einstein evoked a mass reaction after his theory of relativity was confirmed by, notably, British astronomers in 1919. In especially Germany and France, public reactions to relativity were largely coloured by nationalist sentiments aroused by World War I, and anti-relativists in both countries launched attacks on Einstein, his Jewish background, his politics, and on 'modern science'. In the Netherlands, the response to relativity was much more civilized, although in some quarters reserves against modern science were clearly distinguishable. In my thesis, I have examined the public reception of relativity in the Netherlands, with a particular focus on persistent efforts of Dutch physicists to influence that reception. First, I will provide an interpretation of social and cultural influences on popular reactions to relativity in the Netherlands. The immense popularity of relativity theory in the early 1920s however also serves as a starting point for an examination of Dutch 'public opinion' on science in general in that period.
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- 2013
32. Numerical optimization of actuators trajocteries for ITER hybrid scenario
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Dongen, J. van, de Morais-Smith, C. (Thesis Advisor), Hogeweij, D.G.H., Felici, F.A.A, Dongen, J. van, de Morais-Smith, C. (Thesis Advisor), Hogeweij, D.G.H., and Felici, F.A.A
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- 2013
33. The Adult Netherlands Twin Register: Twenty-five years of survey and biological data collection
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Willemsen, G., Vink, J.M., Abdellaoui, A., Braber, A. den, Beek, J.H.D.H. van, Draisma, H.H.M., Dongen, J. van, Ent, D. van 't, Geels, L.M., Lien, R. van, Ligthart, R.S.L., Kattenberg, M., Mbarek, H., Moor, M.H.M. de, Neijts, M., Pool, R., Stroo, N., Kluft, C., Suchiman, H.E.D., Slagboom, P.E., Geus, E.J.C. de, Boomsma, D.I., Willemsen, G., Vink, J.M., Abdellaoui, A., Braber, A. den, Beek, J.H.D.H. van, Draisma, H.H.M., Dongen, J. van, Ent, D. van 't, Geels, L.M., Lien, R. van, Ligthart, R.S.L., Kattenberg, M., Mbarek, H., Moor, M.H.M. de, Neijts, M., Pool, R., Stroo, N., Kluft, C., Suchiman, H.E.D., Slagboom, P.E., Geus, E.J.C. de, and Boomsma, D.I.
- Abstract
Item does not contain fulltext, Over the past 25 years, the Adult Netherlands Twin Register (ANTR) has collected a wealth of information on physical and mental health, lifestyle, and personality in adolescents and adults. This article provides an overview of the sources of information available, the main research findings, and an outlook for the future. Between 1991 and 2012, longitudinal surveys were completed by twins, their parents, siblings, spouses, and offspring. Data are available for 33,957 participants, with most individuals having completed two or more surveys. Smaller projects provided in-depth phenotyping, including measurements of the autonomic nervous system, neurocognitive function, and brain imaging. For 46% of the ANTR participants, DNA samples are available and whole genome scans have been obtained in more than 11,000 individuals. These data have resulted in numerous studies on heritability, gene x environment interactions, and causality, as well as gene finding studies. In the future, these studies will continue with collection of additional phenotypes, such as metabolomic and telomere length data, and detailed genetic information provided by DNA and RNA sequencing. Record linkage to national registers will allow the study of morbidity and mortality, thus providing insight into the development of health, lifestyle, and behavior across the lifespan.
- Published
- 2013
34. Bonaparte: Application of new software for missing persons program
- Author
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Dongen, J. Van, Slooten, K van, Slagter, M., Burgers, W.G., Wiegerinck, W.A.J.J., Dongen, J. Van, Slooten, K van, Slagter, M., Burgers, W.G., and Wiegerinck, W.A.J.J.
- Abstract
Item does not contain fulltext
- Published
- 2011
35. Activation of FP-prostanoid receptors is involved in phenotypic transformation and concomitant depolarization of NRK fibroblasts
- Author
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Harks, G.A., Peters, P.H.J., Dongen, J. Van, Dernison, M.M., Zoelen, E.J.J. van, Theuvenet, A.P.R., Harks, G.A., Peters, P.H.J., Dongen, J. Van, Dernison, M.M., Zoelen, E.J.J. van, and Theuvenet, A.P.R.
- Abstract
Item does not contain fulltext
- Published
- 2004
36. The human Tcf-1 gene encodes a nuclear DNA-binding protein, uniquely expressed in normal and neoplastic T lineage lymphocytes
- Author
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Castrop, J., Wichen, D. van, Koomans-Bitter, M., Wetering, M. van de, Weger, R. de, Dongen, J. van, Clevers, J.C., Castrop, J., Wichen, D. van, Koomans-Bitter, M., Wetering, M. van de, Weger, R. de, Dongen, J. van, and Clevers, J.C.
- Published
- 1995
37. Rolneming en taalvarieteit
- Author
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Dongen, J. van, Dongen, J. van, Dongen, J. van, and Dongen, J. van
- Published
- 1978
38. Kennissociologie, Sapir-Whorf-hypothese en transformationeel-generatieve grammatica : een confrontatie
- Author
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Dongen, J. van, Dongen, J. van, Dongen, J. van, and Dongen, J. van
- Published
- 1989
39. PJA-BP expression and TCR δ deletion during human T cell differentiation
- Author
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Blom, B., Bogers, A., Spits, H., Dongen, J. van, and Verschuren, M.
- Abstract
Recombination of δRec to ψJα will delete the TCR δ gene, which is thought to play an important role in the bifurcation of the TCR αβ versus TCR γδ differentiation lineages. We recently detected a DNA-binding protein in human thymocytes, the so-called PJA-BP, which recognizes the ψJα gene segment and might be one of the factors involved in the regulation of preferential δRec-ψJα rearrangements. We now investigate PJA-BP expression and its correlation with TCR δ gene deletion in thymocytes. Our electrophoretic mobility shift assay experiments showed that the PJA-BP is evolutionary conserved in human, murine and simian thymocytes. Using a large series of human hematopoietic malignancies (n-30), we conclude that PJA-BP expression is thymocyte specific and seems to be restricted to thymocytes committed to the TCR αβ lineage. Analysis of seven well-defined human thymocyte subpopulations showed that preferential δRec-ψJα rearrangements as well as PJA-BP expression can be detected from the immature CD34-/CD1+/CD3-/CD4+/ CD8αβ- thymocyte differentiation stage onwards. These experiments indicate that expression of PJA-BP in human thymocytes starts simultaneously with preferential δRec-ψJα rearrangements, which supports our hypothesis that PJA-BP is one of the factors involved in the preferential recombination of δRec to ψJα.
- Published
- 1998
40. Model-based Cross-correlation Search for Gravitational Waves from the Low-mass X-Ray Binary Scorpius X-1 in LIGO O3 Data
- Author
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The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration, Abbott, R., Abe, H., Acernese, F., Ackley, K., Adhicary, S., Adhikari, N., Adhikari, R. X., Adkins, V. K., Adya, V. B., Affeldt, C., Agarwal, D., Agathos, M., Aguiar, O. D., Aiello, L., Ain, A., Ajith, P., Akutsu, T., Albanesi, S., Alfaidi, R. A., Alléné, C., Allocca, A., Altin, P. A., Amato, A., Anand, S., Ananyeva, A., Anderson, S. B., Anderson, W. G., Ando, M., Andrade, T., Andres, N., Andrés-Carcasona, M., Andrić, T., Ansoldi, S., Antelis, J. M., Antier, S., Apostolatos, T., Appavuravther, E. Z., Appert, S., Apple, S. K., Arai, K., Araya, A., Araya, M. C., Areeda, J. S., Arène, M., Aritomi, N., Arnaud, N., Arogeti, M., Aronson, S. M., Asada, H., Ashton, G., Aso, Y., Assiduo, M., Melo, S. Assis de Souza, Aston, S. M., Astone, P., Aubin, F., AultONeal, K., Babak, S., Badaracco, F., Badger, C., Bae, S., Bae, Y., Bagnasco, S., Bai, Y., Baier, J. G., Baird, J., Bajpai, R., Baka, T., Ball, M., Ballardin, G., Ballmer, S. W., Baltus, G., Banagiri, S., Banerjee, B., Bankar, D., Barayoga, J. C., Barish, B. C., Barker, D., Barneo, P., Barone, F., Barr, B., Barsotti, L., Barsuglia, M., Barta, D., Bartlett, J., Barton, M. A., Bartos, I., Basak, S., Bassiri, R., Basti, A., Bawaj, M., Bayley, J. C., Bazzan, M., Bécsy, B., Bedakihale, V. M., Beirnaert, F., Bejger, M., Belahcene, I., Bell, A. S., Benedetto, V., Beniwal, D., Benoit, W., Bentley, J. D., BenYaala, M., Bera, S., Berbel, M., Bergamin, F., Berger, B. K., Bernuzzi, S., Beroiz, M., Bersanetti, D., Bertolini, A., Betzwieser, J., Beveridge, D., Bhandare, R., Bhandari, A. V., Bhardwaj, U., Bhatt, R., Bhattacharjee, D., Bhaumik, S., Bianchi, A., Bilenko, I. A., Bilicki, M., Billingsley, G., Bini, S., Birnholtz, O., Biscans, S., Bischi, M., Biscoveanu, S., Bisht, A., Biswas, B., Bitossi, M., Bizouard, M. -A., Blackburn, J. K., Blair, C. D., Blair, D. G., Blair, R. M., Bobba, F., Bode, N., Boër, M., Bogaert, G., Boldrini, M., Bolingbroke, G. N., Bonavena, L. D., Bondarescu, R., Bondu, F., Bonilla, E., Bonnand, R., Booker, P., Bork, R., Boschi, V., Bose, N., Bose, S., Bossilkov, V., Boudart, V., Bouffanais, Y., Bozzi, A., Bradaschia, C., Brady, P. R., Bramley, A., Branch, A., Branchesi, M., Brau, J. E., Breschi, M., Briant, T., Briggs, J. H., Brillet, A., Brinkmann, M., Brockill, P., Brooks, A. F., Brooks, J., Brown, D. D., Brunett, S., Bruno, G., Bruntz, R., Bryant, J., Bucci, F., Buchanan, J., Bulik, T., Bulten, H. J., Buonanno, A., Burtnyk, K., Buscicchio, R., Buskulic, D., Buy, C., Byer, R. L., Davies, G. S. Cabourn, Cabras, G., Cabrita, R., Cadonati, L., Cagnoli, G., Cahillane, C., Bustillo, J. Calderón, Callaghan, J. D., Callister, T. A., Calloni, E., Camp, J. B., Canepa, M., Caneva, G., Cannavacciuolo, M., Cannon, K. C., Cao, H., Cao, Z., Capistran, L. A., Capocasa, E., Capote, E., Carapella, G., Carbognani, F., Carlassara, M., Carlin, J. B., Carpinelli, M., Carrillo, G., Carter, J. J., Carullo, G., Diaz, J. Casanueva, Casentini, C., Castaldi, G., Caudill, S., Cavaglià, M., Cavalier, F., Cavalieri, R., Cella, G., Cerdá-Durán, P., Cesarini, E., Chaibi, W., Chakalis, W., Subrahmanya, S. Chalathadka, Champion, E., Chan, C. -H., Chan, C., Chan, C. L., Chan, K., Chan, M., Chandra, K., Chang, I. P., Chang, W., Chanial, P., Chao, S., Chapman-Bird, C., Charlton, P., Chassande-Mottin, E., Chatterjee, C., Chatterjee, Debarati, Chatterjee, Deep, Chaturvedi, M., Chaty, S., Chen, C., Chen, D., Chen, H. Y., Chen, J., Chen, K., Chen, X., Chen, Y. -B., Chen, Y. -R., Chen, Y., Cheng, H., Chessa, P., Cheung, H. Y., Chia, H. Y., Chiadini, F., Chiang, C-Y., Chiarini, G., Chierici, R., Chincarini, A., Chiofalo, M. L., Chiummo, A., Choudhary, R. K., Choudhary, S., Christensen, N., Chu, Q., Chu, Y-K., Chua, S. S. Y., Chung, K. W., Ciani, G., Ciecielag, P., Cieślar, M., Cifaldi, M., Ciobanu, A. A., Ciolfi, R., Clara, F., Clark, J. A., Clarke, T. A., Clearwater, P., Clesse, S., Cleva, F., Coccia, E., Codazzo, E., Cohadon, P. -F., Cohen, D. E., Colleoni, M., Collette, C. G., Colombo, A., Colpi, M., Compton, C. M., Conti, L., Cooper, S. J., Corban, P., Corbitt, T. R., Cordero-Carrión, I., Corezzi, S., Cornish, N. J., Corsi, A., Cortese, S., Coschizza, A. C., Cotesta, R., Cottingham, R., Coughlin, M. W., Coulon, J. -P., Countryman, S. T., Cousins, B., Couvares, P., Coward, D. M., Cowart, M. J., Coyne, D. C., Coyne, R., Craig, K., Creighton, J. D. E., Creighton, T. D., Criswell, A. W., Croquette, M., Crowder, S. G., Cudell, J. R., Cullen, T. J., Cumming, A., Cummings, R., Cuoco, E., Curyło, M., Dabadie, P., Canton, T. Dal, Dall'Osso, S., Dálya, G., Dana, A., D'Angelo, B., Danilishin, S., D'Antonio, S., Danzmann, K., Darsow-Fromm, C., Dasgupta, A., Datrier, L. E. H., Datta, Sayantani, Dattilo, V., Dave, I., Davier, M., Davis, D., Davis, M. C., Daw, E. J., Dax, M., DeBra, D., Deenadayalan, M., Degallaix, J., De Laurentis, M., Deléglise, S., Del Favero, V., De Lillo, F., De Lillo, N., Dell'Aquila, D., Del Pozzo, W., De Matteis, F., D'Emilio, V., Demos, N., Dent, T., Depasse, A., De Pietri, R., De Rosa, R., De Rossi, C., DeSalvo, R., De Simone, R., Dhurandhar, S., Diab, R., Díaz, M. C., Didio, N. A., Dietrich, T., Di Fiore, L., Di Fronzo, C., Di Giorgio, C., Di Giovanni, F., Di Giovanni, M., Di Girolamo, T., Diksha, D., Di Lieto, A., Di Michele, A., Di Pace, S., Di Palma, I., Di Renzo, F., Divakarla, A. K., Dmitriev, A., Doctor, Z., Doleva, P. P., Donahue, L., D'Onofrio, L., Donovan, F., Dooley, K. L., Dooney, T., Doravari, S., Dorosh, O., Drago, M., Driggers, J. C., Drori, Y., Ducoin, J. -G., Dunn, L., Dupletsa, U., Durante, O., D'Urso, D., Duverne, P. -A., Dwyer, S. E., Eassa, C., Easter, P. J., Ebersold, M., Eckhardt, T., Eddolls, G., Edelman, B., Edo, T. B., Edy, O., Effler, A., Eguchi, S., Eichholz, J., Eikenberry, S. S., Eisenmann, M., Eisenstein, R. A., Ejlli, A., Engelby, E., Enomoto, Y., Errico, L., Essick, R. C., Estellés, H., Estevez, D., Etzel, T., Evans, M., Evans, T. M., Evstafyeva, T., Ewing, B. E., Fabrizi, F., Faedi, F., Fafone, V., Fair, H., Fairhurst, S., Fan, P. C., Farah, A. M., Farr, B., Farr, W. M., Favaro, G., Favata, M., Fays, M., Fazio, M., Feicht, J., Fejer, M. M., Fenyvesi, E., Ferguson, D. L., Fernandez-Galiana, A., Ferrante, I., Ferreira, T. A., Fidecaro, F., Figura, P., Fiori, A., Fiori, I., Fishbach, M., Fisher, R. P., Fittipaldi, R., Fiumara, V., Flaminio, R., Floden, E., Fong, H. K., Font, J. A., Fornal, B., Forsyth, P. W. F., Franke, A., Frasca, S., Frasconi, F., Freed, J. P., Frei, Z., Freise, A., Freitas, O., Frey, R., Fritschel, P., Frolov, V. V., Fronzé, G. G., Fujii, Y., Fujikawa, Y., Fujimoto, Y., Fulda, P., Fyffe, M., Gabbard, H. A., Gabella, W. E., Gadre, B. U., Gair, J. R., Gais, J., Galaudage, S., Gamba, R., Ganapathy, D., Ganguly, A., Gao, D. -F., Gao, D., Gaonkar, S. G., Garaventa, B., García-Núñez, C., García-Quirós, C., Gardner, K. A., Gargiulo, J., Garufi, F., Gasbarra, C., Gateley, B., Gayathri, V., Ge, G. -G., Gemme, G., Gennai, A., George, J., Gerberding, O., Gergely, L., Ghonge, S., Ghosh, Abhirup, Ghosh, Archisman, Ghosh, Shaon, Ghosh, Shrobana, Ghosh, Tathagata, Giacoppo, L., Giaime, J. A., Giardina, K. D., Gibson, D. R., Gier, C., Giri, P., Gissi, F., Gkaitatzis, S., Glanzer, J., Gleckl, A. E., Godoy, F. G., Godwin, P., Goetz, E., Goetz, R., Golomb, J., Goncharov, B., González, G., Gosselin, M., Gouaty, R., Gould, D. W., Goyal, S., Grace, B., Grado, A., Graham, V., Granata, M., Granata, V., Gras, S., Grassia, P., Gray, C., Gray, R., Greco, G., Green, A. C., Green, R., Gretarsson, A. M., Gretarsson, E. M., Griffith, D., Griffiths, W. L., Griggs, H. L., Grignani, G., Grimaldi, A., Grimm, S. J., Grote, H., Grunewald, S., Gruson, A. S., Guerra, D., Guidi, G. M., Guimaraes, A. R., Gulati, H. K., Gulminelli, F., Gunny, A. M., Guo, H. -K., Guo, Y., Gupta, Anchal, Gupta, Anuradha, Gupta, P., Gupta, S. K., Gurs, J., Gustafson, R., Gutierrez, N., Guzman, F., Ha, S., Hadiputrawan, I. P. W., Haegel, L., Haino, S., Halim, O., Hall, E. D., Hamilton, E. Z., Hammond, G., Han, W. -B., Haney, M., Hanks, J., Hanna, C., Hannam, M. D., Hannuksela, O., Hansen, H., Hanson, J., Harada, R., Harder, T., Haris, K., Harms, J., Harry, G. M., Harry, I. W., Hartwig, D., Hasegawa, K., Haskell, B., Haster, C. -J., Hathaway, J. S., Hattori, K., Haughian, K., Hayakawa, H., Hayama, K., Hayes, F. J., Healy, J., Heidmann, A., Heidt, A., Heintze, M. C., Heinze, J., Heinzel, J., Heitmann, H., Hellman, F., Hello, P., Helmling-Cornell, A. F., Hemming, G., Hendry, M., Heng, I. S., Hennes, E., Hennig, J. -S., Hennig, M., Henshaw, C., Hernandez, A. G., Vivanco, F. Hernandez, Heurs, M., Hewitt, A. L., Higginbotham, S., Hild, S., Hill, P., Himemoto, Y., Hines, A. S., Hirata, N., Hirose, C., Ho, T-C., Hochheim, S., Hofman, D., Hohmann, J. N., Holcomb, D. G., Holland, N. A., Hollows, I. J., Holmes, Z. J., Holt, K., Holz, D. E., Hong, Q., Hough, J., Hourihane, S., Howell, D., Howell, E. J., Hoy, C. G., Hoyland, D., Hreibi, A., Hsieh, B-H., Hsieh, H-F., Hsiung, C., Huang, H-Y., Huang, P., Huang, Y-C., Huang, Y. -J., Huang, Y., Hübner, M. T., Huddart, A. D., Hughey, B., Hui, D. C. Y., Hui, V., Husa, S., Huttner, S. H., Huxford, R., Huynh-Dinh, T., Hyland, J., Iandolo, G. A., Ide, S., Idzkowski, B., Iess, A., Inayoshi, K., Inoue, Y., Iosif, P., Irwin, J., Gupta, Ish, Isi, M., Ito, K., Itoh, Y., Iyer, B. R., JaberianHamedan, V., Jacqmin, T., Jacquet, P. -E., Jadhav, S. J., Jadhav, S. P., Jain, T., James, A. L., Jan, A. Z., Jani, K., Janquart, J., Janssens, K., Janthalur, N. N., Jaranowski, P., Jariwala, D., Jarov, S., Jaume, R., Jenkins, A. C., Jenner, K., Jeon, C., Jia, W., Jiang, J., Jin, H. -B., Johns, G. R., Johnston, R., Johny, N., Jones, A. W., Jones, D. I., Jones, P., Jones, R., Joshi, P., Ju, L., Jung, K., Jung, P., Junker, J., Juste, V., Kaihotsu, K., Kajita, T., Kakizaki, M., Kalaghatgi, C., Kalogera, V., Kamai, B., Kamiizumi, M., Kanda, N., Kandhasamy, S., Kang, G., Kanner, J. B., Kao, Y., Kapadia, S. J., Kapasi, D. P., Karat, S., Karathanasis, C., Karki, S., Kashyap, R., Kasprzack, M., Kastaun, W., Kato, T., Katsanevas, S., Katsavounidis, E., Katzman, W., Kaur, T., Kawabe, K., Kawaguchi, K., Kéfélian, F., Keitel, D., Key, J. S., Khadka, S., Khalili, F. Y., Khan, S., Khanam, T., Khazanov, E. A., Khetan, N., Khursheed, M., Kijbunchoo, N., Kim, C., Kim, J. C., Kim, J., Kim, K., Kim, P., Kim, W. S., Kim, Y. -M., Kimball, C., Kimura, N., King, B., Kinley-Hanlon, M., Kirchhoff, R., Kissel, J. S., Klimenko, S., Klinger, T., Knee, A. M., Knust, N., Kobayashi, Y., Koch, P., Koehlenbeck, S. M., Koekoek, G., Kohri, K., Kokeyama, K., Koley, S., Kolitsidou, P., Kolstein, M., Kondrashov, V., Kong, A. K. H., Kontos, A., Korobko, M., Kossak, R. V., Kovalam, M., Koyama, N., Kozak, D. B., Kozakai, C., Kranzhoff, L., Kringel, V., Krishnendu, N. V., Królak, A., Kuehn, G., Kuijer, P., Kulkarni, S., Kumar, A., Kumar, Praveen, Kumar, Prayush, Kumar, Rahul, Kumar, Rakesh, Kume, J., Kuns, K., Kuromiya, Y., Kuroyanagi, S., Kuwahara, S., Kwak, K., Lacaille, G., Lagabbe, P., Laghi, D., Lalande, E., Lalleman, M., Lamberts, A., Landry, M., Lane, B. B., Lang, R. N., Lange, J., Lantz, B., La Rosa, I., Lartaux-Vollard, A., Lasky, P. D., Lawrence, J., Laxen, M., Lazzarini, A., Lazzaro, C., Leaci, P., Leavey, S., LeBohec, S., Lecoeuche, Y. K., Lee, E., Lee, H. M., Lee, H. W., Lee, K., Lee, R., Legred, I. N., Lehmann, J., Lemaître, A., Lenti, M., Leonardi, M., Leonova, E., Leroy, N., Letendre, N., Levesque, C., Levin, Y., Leviton, J. N., Leyde, K., Li, A. K. Y., Li, B., Li, K. L., Li, P., Li, T. 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Taranto, C, Taruya, A, Tasson, J, Tenorio, R, Terhune, J, Terkowski, L, Themann, H, Thirugnanasambandam, M, Thomas, M, Thomas, P, Thomas, S, Thompson, D, Thompson, E, Thompson, J, Thondapu, S, Thorne, K, Thrane, E, Tiwari, S, Tiwari, V, Toivonen, A, Tolley, A, Tomaru, T, Tomura, T, Tonelli, M, Torres-Forné, A, Torrie, C, Tosta e Melo, I, Tournefier, E, Töyrä, D, Trapananti, A, Travasso, F, Traylor, G, Trenado, J, Trevor, M, Tringali, M, Tripathee, A, Troiano, L, Trovato, A, Trozzo, L, Trudeau, R, Tsai, D, Tsang, K, Tsang, T, Tsao, J, Tse, M, Tso, R, Tsuchida, S, Tsukada, L, Tsuna, D, Tsutsui, T, Turbang, K, Turconi, M, Turski, C, Tuyenbayev, D, Ubach, H, Ubhi, A, Uchikata, N, Uchiyama, T, Udall, R, Ueda, A, Uehara, T, Ueno, K, Ueshima, G, Unnikrishnan, C, Urban, A, Ushiba, T, Utina, A, Vahlbruch, H, Vaidya, N, Vajente, G, Vajpeyi, A, Valdes, G, Valentini, M, Vallero, S, Valsan, V, van Bakel, N, van Beuzekom, M, van Dael, M, van den Brand, J, Van Den Broeck, C, Vander-Hyde, D, Van de Walle, A, van Dongen, J, van Haevermaet, H, van Heijningen, J, Vanosky, J, van Putten, M, van Ranst, Z, van Remortel, N, Vardaro, M, Vargas, A, Varma, V, Vasúth, M, Vecchio, A, Vedovato, G, Veitch, J, Veitch, P, Venneberg, J, Venugopalan, G, Verdier, P, Verkindt, D, Verma, P, Verma, Y, Vermeulen, S, Veske, D, Vetrano, F, Viceré, A, Vidyant, S, Viets, A, Vijaykumar, A, Villa-Ortega, V, Vinet, J, Virtuoso, A, Vitale, S, Vocca, H, von Reis, E, von Wrangel, J, Vorvick, C, Vyatchanin, S, Wade, L, Wade, M, Wagner, K, Walet, R, Walker, M, Wallace, G, Wallace, L, Wang, J, Wang, W, Ward, R, Warner, J, Was, M, Washimi, T, Washington, N, Watada, K, Watarai, D, Watchi, J, Wayt, K, Weaver, B, Weaving, C, Webster, S, Weinert, M, Weinstein, A, Weiss, R, Weller, C, Weller, R, Wellmann, F, Wen, L, Weßels, P, Wette, K, Whelan, J, White, D, Whiting, B, Whittle, C, Wilk, O, Wilken, D, Williams, C, Williams, D, Williams, M, Williamson, A, Willis, J, Willke, B, Wipf, C, Woan, G, Woehler, J, Wofford, J, Wojtowicz, I, Wong, D, Wong, I, Wright, M, Wu, C, Wu, D, Wu, H, Wysocki, D, Xiao, L, Yadav, N, Yamada, T, Yamamoto, H, Yamamoto, K, Yamamoto, T, Yamashita, K, Yamazaki, R, Yang, F, Yang, K, Yang, L, Yang, Y, Yap, M, Yeeles, D, Yeh, S, Yelikar, A, Yokoyama, J, Yokozawa, T, Yoo, J, Yoshioka, T, Yu, H, Yuzurihara, H, Zadrożny, A, Zanolin, M, Zeidler, S, Zelenova, T, Zendri, J, Zevin, M, Zhan, M, Zhang, H, Zhang, J, Zhang, L, Zhang, R, Zhang, T, Zhang, Y, Zhao, C, Zhao, G, Zhao, Y, Zheng, Y, Zhou, R, Zhu, X, Zhu, Z, Zimmerman, A, Zucker, M, Zweizig, J, The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration, Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Laboratoire des deux Infinis de Toulouse (L2IT), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut Lumière Matière [Villeurbanne] (ILM), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de physique corpusculaire de Caen (LPCC), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Joseph Louis LAGRANGE (LAGRANGE), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), (Astro)-Particles Physics, Ackley, K [0000-0002-8648-0767], Adhikari, N [0000-0002-4559-8427], Adhikari, RX [0000-0002-5731-5076], Agathos, M [0000-0002-9072-1121], Aguiar, OD [0000-0002-2139-4390], Aiello, L [0000-0003-2771-8816], Ajith, P [0000-0001-7519-2439], Akutsu, T [0000-0003-0733-7530], Allocca, A [0000-0002-5288-1351], Altin, PA [0000-0001-8193-5825], Amato, A [0000-0001-9557-651X], Anderson, SB [0000-0003-2219-9383], Anderson, WG [0000-0003-0482-5942], Andres, N [0000-0002-5360-943X], Andrés-Carcasona, M [0000-0002-8738-1672], Andrić, T [0000-0002-9277-9773], Antelis, JM 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[0000-0003-1542-1791], Schnabel, R [0000-0003-2896-4218], Schwartz, E [0000-0001-8922-7794], Scott, J [0000-0001-6701-6515], Scott, SM [0000-0002-9875-7700], Seglar-Arroyo, M [0000-0001-8654-409X], Sekiguchi, Y [0000-0002-2648-3835], Setyawati, Y [0000-0003-3718-4491], Shahriar, MS [0000-0002-7981-954X], Shaikh, MA [0000-0003-0826-6164], Shao, L [0000-0002-1334-8853], Shawhan, P [0000-0002-8249-8070], Shcheblanov, NS [0000-0001-8696-2435], Shikano, Y [0000-0003-2107-7536], Shimizu, H [0000-0002-4221-0300], Shimode, K [0000-0002-5682-8750], Shinkai, H [0000-0003-1082-2844], Shoda, A [0000-0002-0236-4735], Shoemaker, DH [0000-0002-4147-2560], Shoemaker, DM [0000-0002-9899-6357], Sigg, D [0000-0003-4606-6526], Silenzi, L [0000-0001-7316-3239], Singer, LP [0000-0001-9898-5597], Singh, D [0000-0001-9675-4584], Singh, MK [0000-0001-8081-4888], Singh, N [0000-0002-1135-3456], Singha, A [0000-0002-9944-5573], Sintes, AM [0000-0001-9050-7515], Slagmolen, BJJ [0000-0002-2471-3828], Smith, JR 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- Subjects
[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE] ,NEUTRON-STARS ,FOS: Physical sciences ,O3 ,General Relativity and Quantum Cosmology (gr-qc) ,Astronomy & Astrophysics ,neutron stars ,General Relativity and Quantum Cosmology ,gravitational waves ,ACCRETION ,LIGO ,neutron star ,Gravitational waves,Gravitational wave astronomy,Neutron stars, Low-mass x-ray binary stars ,PRECISION EPHEMERIDES ,High-Energy Phenomena and Fundamental Physics ,High Energy Astrophysical Phenomena (astro-ph.HE) ,Settore FIS/01 ,Gravitational Waves ,Gravitational Waves, Scorpius X1, LIGO, O3 ,Science & Technology ,Settore FIS/03 ,Physics ,Scorpius X1 ,Astronomy and Astrophysics ,SDG 10 - Reduced Inequalities ,MOUNTAINS ,Physics and Astronomy ,Space and Planetary Science ,5101 Astronomical Sciences ,gravitational wave sources ,Physical Sciences ,RADIATION ,MAXIMUM SPIN FREQUENCY ,Astrophysics - High Energy Astrophysical Phenomena ,51 Physical Sciences - Abstract
We present the results of a model-based search for continuous gravitational waves from the low-mass X-ray binary Scorpius X-1 using LIGO detector data from the third observing run of Advanced LIGO, Advanced Virgo and KAGRA. This is a semicoherent search which uses details of the signal model to coherently combine data separated by less than a specified coherence time, which can be adjusted to balance sensitivity with computing cost. The search covered a range of gravitational-wave frequencies from 25Hz to 1600Hz, as well as ranges in orbital speed, frequency and phase determined from observational constraints. No significant detection candidates were found, and upper limits were set as a function of frequency. The most stringent limits, between 100Hz and 200Hz, correspond to an amplitude h0 of about 1e-25 when marginalized isotropically over the unknown inclination angle of the neutron star's rotation axis, or less than 4e-26 assuming the optimal orientation. The sensitivity of this search is now probing amplitudes predicted by models of torque balance equilibrium. For the usual conservative model assuming accretion at the surface of the neutron star, our isotropically-marginalized upper limits are close to the predicted amplitude from about 70Hz to 100Hz; the limits assuming the neutron star spin is aligned with the most likely orbital angular momentum are below the conservative torque balance predictions from 40Hz to 200Hz. Assuming a broader range of accretion models, our direct limits on gravitational-wave amplitude delve into the relevant parameter space over a wide range of frequencies, to 500Hz or more., 19 pages, Open Access Journal PDF
- Published
- 2023
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