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227 results on '"Maes, Hermine H"'

3. Genome-wide Association Meta-analysis of Childhood and Adolescent Internalizing Symptoms

Author

Jami, Eshim S., Hammerschlag, Anke R., Ip, Hill F., Allegrini, Andrea G., Benyamin, Beben, Border, Richard, Diemer, Elizabeth W., Jiang, Chang, Karhunen, Ville, Lu, Yi, Lu, Qing, Mallard, Travis T., Mishra, Pashupati P., Nolte, Ilja M., Palviainen, Teemu, Peterson, Roseann E., Sallis, Hannah M., Shabalin, Andrey A., Tate, Ashley E., Thiering, Elisabeth, Vilor-Tejedor, Natàlia, Wang, Carol, Zhou, Ang, Adkins, Daniel E., Alemany, Silvia, Ask, Helga, Chen, Qi, Corley, Robin P., Ehli, Erik A., Evans, Luke M., Havdahl, Alexandra, Hagenbeek, Fiona A., Hakulinen, Christian, Henders, Anjali K., Hottenga, Jouke Jan, Korhonen, Tellervo, Mamun, Abdullah, Marrington, Shelby, Neumann, Alexander, Rimfeld, Kaili, Rivadeneira, Fernando, Silberg, Judy L., van Beijsterveldt, Catharina E., Vuoksimaa, Eero, Whipp, Alyce M., Tong, Xiaoran, Andreassen, Ole A., Boomsma, Dorret I., Brown, Sandra A., Burt, S. Alexandra, Copeland, William, Dick, Danielle M., Harden, K. Paige, Harris, Kathleen Mullan, Hartman, Catharina A., Heinrich, Joachim, Hewitt, John K., Hopfer, Christian, Hypponen, Elina, Jarvelin, Marjo-Riitta, Kaprio, Jaakko, Keltikangas-Järvinen, Liisa, Klump, Kelly L., Krauter, Kenneth, Kuja-Halkola, Ralf, Larsson, Henrik, Lehtimäki, Terho, Lichtenstein, Paul, Lundström, Sebastian, Maes, Hermine H., Magnus, Per, Munafò, Marcus R., Najman, Jake M., Njølstad, Pål R., Oldehinkel, Albertine J., Pennell, Craig E., Plomin, Robert, Reichborn-Kjennerud, Ted, Reynolds, Chandra, Rose, Richard J., Smolen, Andrew, Snieder, Harold, Stallings, Michael, Standl, Marie, Sunyer, Jordi, Tiemeier, Henning, Wadsworth, Sally J., Wall, Tamara L., Whitehouse, Andrew J.O., Williams, Gail M., Ystrøm, Eivind, Nivard, Michel G., Bartels, Meike, and Middeldorp, Christel M.

Published
2022
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4. Smoking remains associated with education after controlling for social background and genetic factors in a study of 18 twin cohorts

Author

Silventoinen, Karri, Piirtola, Maarit, Jelenkovic, Aline, Sund, Reijo, Tarnoki, Adam D., Tarnoki, David L., Medda, Emanuela, Nisticò, Lorenza, Toccaceli, Virgilia, Honda, Chika, Inui, Fujio, Tomizawa, Rie, Watanabe, Mikio, Sakai, Norio, Gatz, Margaret, Butler, David A., Lee, Jooyeon, Lee, Soo Ji, Sung, Joohon, Franz, Carol E., Kremen, William S., Lyons, Michael J., Derom, Catherine A., Vlietinck, Robert F., Loos, Ruth J. F., Tynelius, Per, Rasmussen, Finn, Martin, Nicholas G., Medland, Sarah E., Montgomery, Grant W., Brandt, Ingunn, Nilsen, Thomas S., Harris, Jennifer R., Tyler, Jessica, Hopper, John L., Magnusson, Patrik K. E., Pedersen, Nancy L., Dahl Aslan, Anna K., Ordoñana, Juan R., Sánchez-Romera, Juan F., Colodro-Conde, Lucia, Rebato, Esther, Zhang, Dongfeng, Pang, Zengchang, Tan, Qihua, Silberg, Judy L., Maes, Hermine H., Boomsma, Dorret I., Sørensen, Thorkild I. A., Korhonen, Tellervo, and Kaprio, Jaakko

Published
2022
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5. Educational attainment of same-sex and opposite-sex dizygotic twins: An individual-level pooled study of 19 twin cohorts

Author

Silventoinen, Karri, Bogl, Leonie H., Jelenkovic, Aline, Vuoksimaa, Eero, Latvala, Antti, Li, Weilong, Tan, Qihua, Zhang, Dongfeng, Pang, Zengchang, Ordoñana, Juan R., Sánchez-Romera, Juan F., Colodro-Conde, Lucia, Willemsen, Gonneke, Bartels, Meike, van Beijsterveldt, Catharina E.M., Rebato, Esther, Corley, Robin P., Huibregtse, Brooke M., Hopper, John L., Tyler, Jessica, Duncan, Glen E., Buchwald, Dedra, Silberg, Judy L., Maes, Hermine H., Kandler, Christian, Cozen, Wendy, Hwang, Amie E., Mack, Thomas M., Nelson, Tracy L., Whitfield, Keith E., Medda, Emanuela, Nisticò, Lorenza, Toccaceli, Virgilia, Krueger, Robert F., McGue, Matt, Pahlen, Shandell, Martin, Nicholas G., Medland, Sarah E., Montgomery, Grant W., Heikkilä, Kauko, Derom, Catherine A., Vlietinck, Robert F., Loos, Ruth J.F., Magnusson, Patrik K.E., Pedersen, Nancy L., Dahl Aslan, Anna K., Hotopf, Matthew, Sumathipala, Athula, Rijsdijk, Fruhling, Siribaddana, Sisira H., Rose, Richard J., Sørensen, Thorkild I.A., Boomsma, Dorret I., and Kaprio, Jaakko

Published
2021
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8. A large-scale genome-wide association study meta-analysis of cannabis use disorder

Author

Walters, Raymond, Polimanti, Renato, Johnson, Emma, McClintick, Jeanette, Hatoum, Alexander, He, June, Wendt, Frank, Zhou, Hang, Adams, Mark, Adkins, Amy, Aliev, Fazil, Bacanu, Silviu-Alin, Batzler, Anthony, Bertelsen, Sarah, Biernacka, Joanna, Bigdeli, Tim, Chen, Li-Shiun, Clarke, Toni-Kim, Chou, Yi-Ling, Degenhardt, Franziska, Docherty, Anna, Edwards, Alexis, Fontanillas, Pierre, Foo, Jerome, Fox, Louis, Frank, Josef, Giegling, Ina, Gordon, Scott, Hack, Laura, Hartmann, Annette, Hartz, Sarah, Heilmann-Heimbach, Stefanie, Herms, Stefan, Hodgkinson, Colin, Hoffman, Per, Hottenga, Jouke, Kennedy, Martin, Alanne-Kinnunen, Mervi, Konte, Bettina, Lahti, Jari, Lahti-Pulkkinen, Marius, Lai, Dongbing, Ligthart, Lannie, Loukola, Anu, Maher, Brion, Mbarek, Hamdi, McIntosh, Andrew, McQueen, Matthew, Meyers, Jacquelyn, Milaneschi, Yuri, Palviainen, Teemu, Pearson, John, Peterson, Roseann, Ripatti, Samuli, Ryu, Euijung, Saccone, Nancy, Salvatore, Jessica, Sanchez-Roige, Sandra, Schwandt, Melanie, Sherva, Richard, Streit, Fabian, Strohmaier, Jana, Thomas, Nathaniel, Wang, Jen-Chyong, Webb, Bradley, Wedow, Robbee, Wetherill, Leah, Wills, Amanda, Boardman, Jason, Chen, Danfeng, Choi, Doo-Sup, Copeland, William, Culverhouse, Robert, Dahmen, Norbert, Degenhardt, Louisa, Domingue, Benjamin, Elson, Sarah, Frye, Mark, Gäbel, Wolfgang, Hayward, Caroline, Ising, Marcus, Keyes, Margaret, Kiefer, Falk, Kramer, John, Kuperman, Samuel, Lucae, Susanne, Lynskey, Michael, Maier, Wolfgang, Mann, Karl, Männistö, Satu, Müller-Myhsok, Bertram, Murray, Alison, Nurnberger, John, Palotie, Aarno, Preuss, Ulrich, Räikkönen, Katri, Reynolds, Maureen, Ridinger, Monika, Scherbaum, Norbert, Schuckit, Marc, Soyka, Michael, Treutlein, Jens, Witt, Stephanie, Wodarz, Norbert, Zill, Peter, Adkins, Daniel, Boden, Joseph, Boomsma, Dorret, Bierut, Laura, Brown, Sandra, Bucholz, Kathleen, Cichon, Sven, Costello, E. Jane, de Wit, Harriet, Diazgranados, Nancy, Dick, Danielle, Eriksson, Johan, Farrer, Lindsay, Foroud, Tatiana, Gillespie, Nathan, Goate, Alison, Goldman, David, Grucza, Richard, Hancock, Dana, Harris, Kathleen Mullan, Heath, Andrew, Hesselbrock, Victor, Hewitt, John, Hopfer, Christian, Horwood, John, Iacono, William, Johnson, Eric, Kaprio, Jaakko, Karpyak, Victor, Kendler, Kenneth, Kranzler, Henry, Krauter, Kenneth, Lichtenstein, Paul, Lind, Penelope, McGue, Matt, MacKillop, James, Madden, Pamela, Maes, Hermine, Magnusson, Patrik, Martin, Nicholas, Medland, Sarah, Montgomery, Grant, Nelson, Elliot, Nöthen, Markus, Palmer, Abraham, Pederson, Nancy, Penninx, Brenda, Porjesz, Bernice, Rice, John, Rietschel, Marcella, Riley, Brien, Rose, Richard, Rujescu, Dan, Shen, Pei-Hong, Silberg, Judy, Stallings, Michael, Tarter, Ralph, Vanyukov, Michael, Vrieze, Scott, Wall, Tamara, Whitfield, John, Zhao, Hongyu, Neale, Benjamin, Gelernter, Joel, Edenberg, Howard, Agrawal, Arpana, Johnson, Emma C, Demontis, Ditte, Thorgeirsson, Thorgeir E, Walters, Raymond K, Hatoum, Alexander S, Paul, Sarah E, Wendt, Frank R, Reginsson, Gunnar W, Baranger, David A A, Gudbjartsson, Daniel F, Adkins, Daniel E, Adkins, Amy E, Alexander, Jeffry, Bigdeli, Tim B, Brown, Sandra A, Bucholz, Kathleen K, Bybjerg-Grauholm, Jonas, Corley, Robin P, Dick, Danielle M, Domingue, Benjamin W, Goate, Alison M, Gordon, Scott D, Hack, Laura M, Hancock, Dana B, Hartz, Sarah M, Hickie, Ian B, Hougaard, David M, Lind, Penelope A, McClintick, Jeanette N, McQueen, Matthew B, Meyers, Jacquelyn L, Montgomery, Grant W, Mors, Ole, Mortensen, Preben B, Nordentoft, Merete, Pearson, John F, Peterson, Roseann E, Reynolds, Maureen D, Rice, John P, Runarsdottir, Valgerdur, Saccone, Nancy L, Silberg, Judy L, Tarter, Ralph E, Tyrfingsson, Thorarinn, Wall, Tamara L, Webb, Bradley T, Werge, Thomas, Wright, Margaret J, Zellers, Stephanie, Adams, Mark J, Bierut, Laura J, Boardman, Jason D, Copeland, William E, Farrer, Lindsay A, Foroud, Tatiana M, Gillespie, Nathan A, Grucza, Richard A, Heath, Andrew C, Hewitt, John K, Hopfer, Christian J, Iacono, William G, Johnson, Eric O, Kendler, Kenneth S, Kennedy, Martin A, Kranzler, Henry R, Madden, Pamela A F, Maes, Hermine H, Maher, Brion S, Martin, Nicholas G, McGue, Matthew, McIntosh, Andrew M, Medland, Sarah E, Nelson, Elliot C, Riley, Brien P, Stallings, Michael C, Vanyukov, Michael M, Davis, Lea K, Bogdan, Ryan, Edenberg, Howard J, Stefansson, Kari, and Børglum, Anders D

Published
2020
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10. Genetic association study of childhood aggression across raters, instruments, and age

Author

Ip, Hill F., van der Laan, Camiel M., Krapohl, Eva M. L., Brikell, Isabell, Sánchez-Mora, Cristina, Nolte, Ilja M., St Pourcain, Beate, Bolhuis, Koen, Palviainen, Teemu, Zafarmand, Hadi, Colodro-Conde, Lucía, Gordon, Scott, Zayats, Tetyana, Aliev, Fazil, Jiang, Chang, Wang, Carol A., Saunders, Gretchen, Karhunen, Ville, Hammerschlag, Anke R., Adkins, Daniel E., Border, Richard, Peterson, Roseann E., Prinz, Joseph A., Thiering, Elisabeth, Seppälä, Ilkka, Vilor-Tejedor, Natàlia, Ahluwalia, Tarunveer S., Day, Felix R., Hottenga, Jouke-Jan, Allegrini, Andrea G., Rimfeld, Kaili, Chen, Qi, Lu, Yi, Martin, Joanna, Soler Artigas, María, Rovira, Paula, Bosch, Rosa, Español, Gemma, Ramos Quiroga, Josep Antoni, Neumann, Alexander, Ensink, Judith, Grasby, Katrina, Morosoli, José J., Tong, Xiaoran, Marrington, Shelby, Middeldorp, Christel, Scott, James G., Vinkhuyzen, Anna, Shabalin, Andrey A., Corley, Robin, Evans, Luke M., Sugden, Karen, Alemany, Silvia, Sass, Lærke, Vinding, Rebecca, Ruth, Kate, Tyrrell, Jess, Davies, Gareth E., Ehli, Erik A., Hagenbeek, Fiona A., De Zeeuw, Eveline, Van Beijsterveldt, Toos C.E.M., Larsson, Henrik, Snieder, Harold, Verhulst, Frank C., Amin, Najaf, Whipp, Alyce M., Korhonen, Tellervo, Vuoksimaa, Eero, Rose, Richard J., Uitterlinden, André G., Heath, Andrew C., Madden, Pamela, Haavik, Jan, Harris, Jennifer R., Helgeland, Øyvind, Johansson, Stefan, Knudsen, Gun Peggy S., Njolstad, Pal Rasmus, Lu, Qing, Rodriguez, Alina, Henders, Anjali K., Mamun, Abdullah, Najman, Jackob M., Brown, Sandy, Hopfer, Christian, Krauter, Kenneth, Reynolds, Chandra, Smolen, Andrew, Stallings, Michael, Wadsworth, Sally, Wall, Tamara L., Silberg, Judy L., Miller, Allison, Keltikangas-Järvinen, Liisa, Hakulinen, Christian, Pulkki-Råback, Laura, Havdahl, Alexandra, Magnus, Per, Raitakari, Olli T., Perry, John R. B., Llop, Sabrina, Lopez-Espinosa, Maria-Jose, Bønnelykke, Klaus, Bisgaard, Hans, Sunyer, Jordi, Lehtimäki, Terho, Arseneault, Louise, Standl, Marie, Heinrich, Joachim, Boden, Joseph, Pearson, John, Horwood, L. John, Kennedy, Martin, Poulton, Richie, Eaves, Lindon J., Maes, Hermine H., Hewitt, John, Copeland, William E., Costello, Elizabeth J., Williams, Gail M., Wray, Naomi, Järvelin, Marjo-Riitta, McGue, Matt, Iacono, William, Caspi, Avshalom, Moffitt, Terrie E., Whitehouse, Andrew, Pennell, Craig E., Klump, Kelly L., Burt, S. Alexandra, Dick, Danielle M., Reichborn-Kjennerud, Ted, Martin, Nicholas G., Medland, Sarah E., Vrijkotte, Tanja, Kaprio, Jaakko, Tiemeier, Henning, Davey Smith, George, Hartman, Catharina A., Oldehinkel, Albertine J., Casas, Miquel, Ribasés, Marta, Lichtenstein, Paul, Lundström, Sebastian, Plomin, Robert, Bartels, Meike, Nivard, Michel G., and Boomsma, Dorret I.

Published
2021
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11. Image processing and analysis methods for the Adolescent Brain Cognitive Development Study

Author

Hagler, Donald J., Jr., Hatton, SeanN., Cornejo, M. Daniela, Makowski, Carolina, Fair, Damien A., Dick, Anthony Steven, Sutherland, Matthew T., Casey, B.J., Barch, Deanna M., Harms, Michael P., Watts, Richard, Bjork, James M., Garavan, Hugh P., Hilmer, Laura, Pung, Christopher J., Sicat, Chelsea S., Kuperman, Joshua, Bartsch, Hauke, Xue, Feng, Heitzeg, Mary M., Laird, Angela R., Trinh, Thanh T., Gonzalez, Raul, Tapert, Susan F., Riedel, Michael C., Squeglia, Lindsay M., Hyde, Luke W., Rosenberg, Monica D., Earl, Eric A., Howlett, Katia D., Baker, Fiona C., Soules, Mary, Diaz, Jazmin, de Leon, Octavio Ruiz, Thompson, Wesley K., Neale, Michael C., Herting, Megan, Sowell, Elizabeth R., Alvarez, Ruben P., Hawes, Samuel W., Sanchez, Mariana, Bodurka, Jerzy, Breslin, Florence J., Morris, Amanda Sheffield, Paulus, Martin P., Simmons, W. Kyle, Polimeni, Jonathan R., van der Kouwe, Andre, Nencka, Andrew S., Gray, Kevin M., Pierpaoli, Carlo, Matochik, John A., Noronha, Antonio, Aklin, Will M., Conway, Kevin, Glantz, Meyer, Hoffman, Elizabeth, Little, Roger, Lopez, Marsha, Pariyadath, Vani, Weiss, Susan RB., Wolff-Hughes, Dana L., DelCarmen-Wiggins, Rebecca, Feldstein Ewing, Sarah W., Miranda-Dominguez, Oscar, Nagel, Bonnie J., Perrone, Anders J., Sturgeon, Darrick T., Goldstone, Aimee, Pfefferbaum, Adolf, Pohl, Kilian M., Prouty, Devin, Uban, Kristina, Bookheimer, Susan Y., Dapretto, Mirella, Galvan, Adriana, Bagot, Kara, Giedd, Jay, Infante, M. Alejandra, Jacobus, Joanna, Patrick, Kevin, Shilling, Paul D., Desikan, Rahul, Li, Yi, Sugrue, Leo, Banich, Marie T., Friedman, Naomi, Hewitt, John K., Hopfer, Christian, Sakai, Joseph, Tanabe, Jody, Cottler, Linda B., Nixon, Sara Jo, Chang, Linda, Cloak, Christine, Ernst, Thomas, Reeves, Gloria, Kennedy, David N., Heeringa, Steve, Peltier, Scott, Schulenberg, John, Sripada, Chandra, Zucker, Robert A., Iacono, William G., Luciana, Monica, Calabro, Finnegan J., Clark, Duncan B., Lewis, David A., Luna, Beatriz, Schirda, Claudiu, Brima, Tufikameni, Foxe, John J., Freedman, Edward G., Mruzek, Daniel W., Mason, Michael J., Huber, Rebekah, McGlade, Erin, Prescot, Andrew, Renshaw, Perry F., Yurgelun-Todd, Deborah A., Allgaier, Nicholas A., Dumas, Julie A., Ivanova, Masha, Potter, Alexandra, Florsheim, Paul, Larson, Christine, Lisdahl, Krista, Charness, Michael E., Fuemmeler, Bernard, Hettema, John M., Maes, Hermine H., Steinberg, Joel, Anokhin, Andrey P., Glaser, Paul, Heath, Andrew C., Madden, Pamela A., Baskin-Sommers, Arielle, Constable, R. Todd, Grant, Steven J., Dowling, Gayathri J., Brown, Sandra A., Jernigan, Terry L., and Dale, Anders M.

Published
2019
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12. Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium

Author

Polimanti, Renato, Walters, Raymond K., Johnson, Emma C., McClintick, Jeanette N., Adkins, Amy E., Adkins, Daniel E., Bacanu, Silviu-Alin, Bierut, Laura J., Bigdeli, Tim B., Brown, Sandra, Bucholz, Kathleen K., Copeland, William E., Costello, E. Jane, Degenhardt, Louisa, Farrer, Lindsay A, Foroud, Tatiana M., Fox, Louis, Goate, Alison M., Grucza, Richard, Hack, Laura M., Hancock, Dana B., Hartz, Sarah M., Heath, Andrew C., Hewitt, John K., Hopfer, Christian J., Johnson, Eric O., Kendler, Kenneth S., Kranzler, Henry R., Krauter, Kenneth, Lai, Dongbing, Madden, Pamela A. F., Martin, Nicholas G., Maes, Hermine H., Nelson, Elliot C., Peterson, Roseann E., Porjesz, Bernice, Riley, Brien P., Saccone, Nancy, Stallings, Michael, Wall, Tamara L., Webb, Bradley T., Wetherill, Leah, Edenberg, Howard J., Agrawal, Arpana, and Gelernter, Joel

Published
2020
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13. Using Instrumental Variables to Measure Causation over Time in Cross-Lagged Panel Models.

Author

Singh, Madhurbain, Verhulst, Brad, Vinh, Philip, Zhou, Yi, Castro-de-Araujo, Luis F. S., Hottenga, Jouke-Jan, Pool, René, de Geus, Eco J. C., Vink, Jacqueline M., Boomsma, Dorret I., Maes, Hermine H. M., Dolan, Conor V., and Neale, Michael C.

Subjects
PANEL analysis, CAUSAL inference, TIME management
Abstract

Cross-lagged panel models (CLPMs) are commonly used to estimate causal influences between two variables with repeated assessments. The lagged effects in a CLPM depend on the time interval between assessments, eventually becoming undetectable at longer intervals. To address this limitation, we incorporate instrumental variables (IVs) into the CLPM with two study waves and two variables. Doing so enables estimation of both the lagged (i.e., "distal") effects and the bidirectional cross-sectional (i.e., "proximal") effects at each wave. The distal effects reflect Granger-causal influences across time, which decay with increasing time intervals. The proximal effects capture causal influences that accrue over time and can help infer causality when the distal effects become undetectable at longer intervals. Significant proximal effects, with a negligible distal effect, would imply that the time interval is too long to estimate a lagged effect at that time interval using the standard CLPM. Through simulations and an empirical application, we demonstrate the impact of time intervals on causal inference in the CLPM and present modeling strategies to detect causal influences regardless of the time interval in a study. Furthermore, to motivate empirical applications of the proposed model, we highlight the utility and limitations of using genetic variables as IVs in large-scale panel studies. [ABSTRACT FROM AUTHOR]

Published
2024
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15. Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders

Author

Walters, Raymond K., Polimanti, Renato, Johnson, Emma C., McClintick, Jeanette N., Adams, Mark J., Adkins, Amy E., Aliev, Fazil, Bacanu, Silviu-Alin, Batzler, Anthony, Bertelsen, Sarah, Biernacka, Joanna M., Bigdeli, Tim B., Chen, Li-Shiun, Clarke, Toni-Kim, Chou, Yi-Ling, Degenhardt, Franziska, Docherty, Anna R., Edwards, Alexis C., Fontanillas, Pierre, Foo, Jerome C., Fox, Louis, Frank, Josef, Giegling, Ina, Gordon, Scott, Hack, Laura M., Hartmann, Annette M., Hartz, Sarah M., Heilmann-Heimbach, Stefanie, Herms, Stefan, Hodgkinson, Colin, Hoffmann, Per, Jan Hottenga, Jouke, Kennedy, Martin A., Alanne-Kinnunen, Mervi, Konte, Bettina, Lahti, Jari, Lahti-Pulkkinen, Marius, Lai, Dongbing, Ligthart, Lannie, Loukola, Anu, Maher, Brion S., Mbarek, Hamdi, McIntosh, Andrew M., McQueen, Matthew B., Meyers, Jacquelyn L., Milaneschi, Yuri, Palviainen, Teemu, Pearson, John F., Peterson, Roseann E., Ripatti, Samuli, Ryu, Euijung, Saccone, Nancy L., Salvatore, Jessica E., Sanchez-Roige, Sandra, Schwandt, Melanie, Sherva, Richard, Streit, Fabian, Strohmaier, Jana, Thomas, Nathaniel, Wang, Jen-Chyong, Webb, Bradley T., Wedow, Robbee, Wetherill, Leah, Wills, Amanda G., 23andMe Research Team, Boardman, Jason D., Chen, Danfeng, Choi, Doo-Sup, Copeland, William E., Culverhouse, Robert C., Dahmen, Norbert, Degenhardt, Louisa, Domingue, Benjamin W., Elson, Sarah L., Frye, Mark A., Gäbel, Wolfgang, Hayward, Caroline, Ising, Marcus, Keyes, Margaret, Kiefer, Falk, Kramer, John, Kuperman, Samuel, Lucae, Susanne, Lynskey, Michael T., Maier, Wolfgang, Mann, Karl, Männistö, Satu, Müller-Myhsok, Bertram, Murray, Alison D., Nurnberger, John I., Palotie, Aarno, Preuss, Ulrich, Räikkönen, Katri, Reynolds, Maureen D, Ridinger, Monika, Scherbaum, Norbert, Schuckit, Marc A., Soyka, Michael, Treutlein, Jens, Witt, Stephanie, Wodarz, Norbert, Zill, Peter, Adkins, Daniel E., Boden, Joseph M., Boomsma, Dorret I., Bierut, Laura J., Brown, Sandra A., Bucholz, Kathleen K., Cichon, Sven, Costello, E. Jane, de Wit, Harriet, Diazgranados, Nancy, Dick, Danielle M., Eriksson, Johan G., Farrer, Lindsay A., Foroud, Tatiana M., Gillespie, Nathan A., Goate, Alison M., Goldman, David, Grucza, Richard A., Hancock, Dana B., Harris, Kathleen Mullan, Heath, Andrew C., Hesselbrock, Victor, Hewitt, John K., Hopfer, Christian J., Horwood, John, Iacono, William, Johnson, Eric O., Kaprio, Jaakko A., Karpyak, Victor M., Kendler, Kenneth S., Kranzler, Henry R., Krauter, Kenneth, Lichtenstein, Paul, Lind, Penelope A., McGue, Matt, MacKillop, James, Madden, Pamela A. F., Maes, Hermine H., Magnusson, Patrik, Martin, Nicholas G., Medland, Sarah E., Montgomery, Grant W., Nelson, Elliot C., Nöthen, Markus M., Palmer, Abraham A., Pedersen, Nancy L., Penninx, Brenda W. J. H., Porjesz, Bernice, Rice, John P., Rietschel, Marcella, Riley, Brien P., Rose, Richard, Rujescu, Dan, Shen, Pei-Hong, Silberg, Judy, Stallings, Michael C., Tarter, Ralph E., Vanyukov, Michael M., Vrieze, Scott, Wall, Tamara L., Whitfield, John B., Zhao, Hongyu, Neale, Benjamin M., Gelernter, Joel, Edenberg, Howard J., and Agrawal, Arpana

Published
2018
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18. A Genetic Epidemiological Mega Analysis of Smoking Initiation in Adolescents

Author

Maes, Hermine H., Prom-Wormley, Elizabeth, Eaves, Lindon J., Rhee, Soo Hyun, Hewitt, John K., Young, Susan, Corley, Robin, McGue, Matt, Iacono, William G., Legrand, Lisa, Samek, Diana R., Murrelle, E. Lenn, Silberg, Judy L., Miles, Donna R., Schieken, Richard M., Beunen, Gaston P., Thomis, Martine, Rose, Richard J., Dick, Danielle M., Boomsma, Dorret I., Bartels, Meike, Vink, Jacqueline M., Lichtenstein, Paul, White, Victoria, Kaprio, Jaakko, and Neale, Michael C.

Published
2017

20. Genetic and environmental influences on human height from infancy through adulthood at different levels of parental education

Author

Jelenkovic, Aline, Sund, Reijo, Yokoyama, Yoshie, Latvala, Antti, Sugawara, Masumi, Tanaka, Mami, Matsumoto, Satoko, Freitas, Duarte L., Maia, José Antonio, Knafo-Noam, Ariel, Mankuta, David, Abramson, Lior, Ji, Fuling, Ning, Feng, Pang, Zengchang, Rebato, Esther, Saudino, Kimberly J., Cutler, Tessa L., Hopper, John L., Ullemar, Vilhelmina, Almqvist, Catarina, Magnusson, Patrik K. E., Cozen, Wendy, Hwang, Amie E., Mack, Thomas M., Nelson, Tracy L., Whitfield, Keith E., Sung, Joohon, Kim, Jina, Lee, Jooyeon, Lee, Sooji, Llewellyn, Clare H., Fisher, Abigail, Medda, Emanuela, Nisticò, Lorenza, Toccaceli, Virgilia, Baker, Laura A., Tuvblad, Catherine, Corley, Robin P., Huibregtse, Brooke M., Derom, Catherine A., Vlietinck, Robert F., Loos, Ruth J. F., Burt, S. Alexandra, Klump, Kelly L., Silberg, Judy L., Maes, Hermine H., Krueger, Robert F., McGue, Matt, Pahlen, Shandell, Gatz, Margaret, Butler, David A., Harris, Jennifer R., Brandt, Ingunn, Nilsen, Thomas S., Harden, K. Paige, Tucker-Drob, Elliot M., Franz, Carol E., Kremen, William S., Lyons, Michael J., Lichtenstein, Paul, Bartels, Meike, Beijsterveldt, Catharina E. M. van, Willemsen, Gonneke, Öncel, Sevgi Y., Aliev, Fazil, Jeong, Hoe-Uk, Hur, Yoon-Mi, Turkheimer, Eric, Boomsma, Dorret I., Sørensen, Thorkild I. A., Kaprio, Jaakko, and Silventoinen, Karri

Published
2020
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25. Genetic and Cultural Transmission of Alcohol Use Disorder in Swedish Twin Pedigrees.

Author

Maes, Hermine H., Neale, Michael C., Ohlsson, Henrik, Sundquist, Jan, Sundquist, Kristina, and Kendler, Kenneth S.

Abstract

Objective: Using Swedish nationwide registry data, we investigated the contribution of genetic and environmental risk factors to the etiology of alcohol use disorder (AUD) by extended twin pedigree modeling. Method: AUD was defined using public inpatient, outpatient, prescription, and criminal records. Three-generational pedigrees were selected for index individuals born between 1980 and 1990, obtained from the national twin and genealogical registers, whose parents were twins. Relatives of the twins included in the pedigrees were their parents, siblings, spouses, and children. Genetic structural equation modeling was applied to the population-based data on AUD, using OpenMx, with age used as a covariate. Results: Analyses including up to 162,469 individuals in 18,971 pedigrees estimated AUD prevalence at 5%-12% in men and 2%-5% in women. Results indicated substantial heritability (about 50%-60%), of which a portion upwards of 5% was attributable to the consequences of assortative mating. Contributions of shared environmental factors to AUD, which represent a mix of within- and cross-generational effects, appeared to be moderate (about 10%-20%). Unique environment accounted for the remaining variance (about 20%-30%). Sex differences in the magnitude of the variance components suggested higher heritability in men and correspondingly higher shared environmental contributions in women. Conclusions: Using objective registry data, we found that AUD is highly heritable. Furthermore, shared environmental factors contributed significantly to the liability of AUD in both men and women. [ABSTRACT FROM AUTHOR]

Published
2023
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31. Analysis and Interpretation of Twin Studies Including Measures of the Shared Environment

Author

Turkheimer, Eric, D'Onofrio, Brian M., and Maes, Hermine H.

Abstract

Recent reports using a classical behavior genetic research design in which twin data are combined with a measured characteristic of their shared family environment have made striking claims about estimating environmental influences on behavior with genetic effects controlled. Such claims are overstated for two related reasons. First, when a variable is measured at the family level in a way that makes it necessarily equivalent for twins reared together, it is not possible to partition it into genetic and environmental components. Second, although structural equation modeling and DeFries--Fulker analysis are sound tools for the analysis of many types of twin data, they do not control for genetic or environmental confounds when estimating the effect of measured family-level variables.

Published
2005
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32. The Concept of Resistance to Substance Use and a Research Approach: The Resist! Project.

Author

Vanyukov, Michael M., Maes, Hermine H. M., Iacono, William G., Kirisci, Levent, Samek, Diana R., Silberg, Judy L., Zimmerman, Emily B., and Prom-Wormley, Elizabeth C.

Subjects
*SUBSTANCE abuse, *MENTAL illness, *TWIN studies, *ADOLESCENT development, PSYCHIATRIC research
Abstract

Illicit substance use is dangerous in both acute and chronic forms, frequently resulting in lethal poisoning, addiction, and other negative consequences. Similar to research in other psychiatric conditions, whose ultimate goal is to enable effective prevention and treatment, studies in substance use are focused on factors elevating the risk for the disorder. The rapid growth of the substance use problem despite the effort invested in fighting it, however, suggests the need in changing the research approach. Instead of attempting to identify risk factors, whose neutralization is often infeasible if not impossible, it may be more promising to systematically reverse the perspective to the factors enhancing the aspect of liability to disorder that shares the same dimension but is opposite to risk, that is, resistance to substance use. Resistance factors, which enable the majority of the population to remain unaffected despite the ubiquity of psychoactive substances, may be more amenable to translation. While the resistance aspect of liability is symmetric to risk, the resistance approach requires substantial changes in sampling (high-resistance rather than high-risk) and using quantitative indices of liability. This article provides an overview and a practical approach to research in resistance to substance use/addiction, currently implemented in a NIH-funded project. The project benefits from unique opportunities afforded by the data originating from two longitudinal twin studies, the Virginia Twin Study of Adolescent and Behavioral Development and the Minnesota Twin Family Study. The methodology described is also applicable to other psychiatric disorders. [ABSTRACT FROM AUTHOR]

Published
2023
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40. Determining the stability of genome-wide factors in BMI between ages 40 to 69 years.

Author

Gillespie, Nathan A., Gentry, Amanda Elswick, Kirkpatrick, Robert M., Reynolds, Chandra A., Mathur, Ravi, Kendler, Kenneth S., Maes, Hermine H., Webb, Bradley T., and Peterson, Roseann E.

Subjects
STRUCTURAL equation modeling, AUTOREGRESSIVE models, GENOME-wide association studies, OLD age, MIDDLE age, VARIANCES
Abstract

Genome-wide association studies (GWAS) have successfully identified common variants associated with BMI. However, the stability of aggregate genetic variation influencing BMI from midlife and beyond is unknown. By analysing 165,717 men and 193,073 women from the UKBiobank, we performed BMI GWAS on six independent five-year age intervals between 40 and 72 years. We then applied genomic structural equation modeling to test competing hypotheses regarding the stability of genetic effects for BMI. LDSR genetic correlations between BMI assessed between ages 40 to 73 were all very high and ranged 0.89 to 1.00. Genomic structural equation modeling revealed that molecular genetic variance in BMI at each age interval could not be explained by the accumulation of any age-specific genetic influences or autoregressive processes. Instead, a common set of stable genetic influences appears to underpin genome-wide variation in BMI from middle to early old age in men and women alike. Author summary: We used a new method called genomic structural equation modeling to analyse data from 165,717 men and 193,073 women from the UKBiobank. Our results revealed that genetic influences on BMI were very stable between ages 40 and 73. In other words, there did not appear to be any age-dependent genetic influences on BMI during this period. The same results were seen in men and women. [ABSTRACT FROM AUTHOR]

Published
2022
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49. Genetic risk factors for disordered eating in adolescent males and females

Author

Baker, Jessica H., Maes, Hermine H., Aggen, Steven H., Lissner, Lauren, Lichtenstein, Paul, and Kendler, Kenneth S.

Subjects
Eating disorders -- Risk factors, Genetic research, Psychology and mental health
Abstract

The etiologic role of genetic and environmental factors on disordered eating was examined in a sample of 15- to 17-year-old female-female, male-male, and opposite-sex twin pairs. Also assessed was whether a single factor is underlying 3 facets (body dissatisfaction, drive for thinness, bulimia) of disordered eating, including the possible importance of sex differences. Univariate model-fitting analyses indicated that genetic factors are more important for girls and environment more important for boys for body dissatisfaction and drive for thinness. A multivariate common factor analysis indicated that a single factor accounted for the association among these 3 facets of disordered eating in both sexes. However, only 50% of the genetic risk for this factor is shared between the sexes. Keywords: eating disorder, disordered eating, twin study, genetics, sex differences

Published
2009

50. Polygenic score for cigarette smoking is associated with ever electronic‐cigarette use in a college‐aged sample.

Author

Cooke, Megan E., Clifford, James S., Do, Elizabeth K., Gilman, Jodi M., Maes, Hermine H., Peterson, Roseann E., Prom‐Wormley, Elizabeth C., Evins, A. Eden, and Schuster, Randi M.

Subjects
MONOGENIC & polygenic inheritance (Genetics), COLLEGE students, ELECTRONIC cigarettes, RISK assessment, GENOMES
Abstract

Background and Aims: Electronic cigarette use has escalated rapidly in recent years, particularly among youth. Little is known about the genetic influences on e‐cigarette use. This study aimed to determine whether genetic risk for regular use of combustible cigarettes or for number of cigarettes smoked per day confers risk for ever e‐cigarette use or frequency of e‐cigarette use. Design, Setting, Participants, and Measurements: We used data from 9541 young adults from the Spit for Science longitudinal cohort study (2011–2019). Polygenic scores (PGS) of regular combustible cigarette use (PGS‐RCU) and cigarettes per day (PGS‐CPD) were constructed using summary statistics from the two largest available genome‐wide association study (GWAS) meta‐analysis of European ancestry and East Asian ancestry of combustible cigarette use and used to test whether the PGS of RCU or CPD predicted lifetime e‐cigarette use and frequency of past 30‐day e‐cigarette use in a diverse sample of young adults of African (AFR), Admixed American (AMR), East Asian (EAS), European (EUR), and South Asian (SAS) ancestry. Findings: The PGS‐RCU was associated with lifetime e‐cigarette use in the EUR sample (OR = 1.27, 95% CI = 1.19–1.36, P = 7.53 × 10−12), but not in the other subsamples (ps > 0.12). This association remained significant after excluding regular combustible cigarette smokers (OR = 1.21, 95% CI = 1.12–1.31, P = 3.36 × 10−6). There was no statistically significant association between PGS‐CPD and lifetime e‐cigarette use and neither the PGS‐RCU nor the PGS‐CPD were associated with frequency of e‐cigarette use in the past 30 days in any of the subsamples. Conclusions: Genetic factors associated with regular combustible cigarette use appear to be associated with ever e‐cigarette use in young adults. We did not find evidence for shared genetic factors influencing heaviness of use of combustible cigarettes and current e‐cigarette use frequency. [ABSTRACT FROM AUTHOR]

Published
2022
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