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Correction: The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study.

PLoS genetics

Winkler TW, Justice AE, Graff M, Barata L, Feitosa MF, Chu S, Czajkowski J, Esko T, Fall T, Kilpeläinen TO, Lu Y, Mägi R, Mihailov E, Pers TH, Rüeger S, Teumer A, Ehret GB, Ferreira T, Heard-Costa NL, Karjalainen J, Lagou V, Mahajan A, Neinast MD, Prokopenko I, Simino J, Teslovich TM, Jansen R, Westra HJ, White CC, Absher D, Ahluwalia TS, Ahmad S, Albrecht E, Alves AC, Bragg-Gresham JL, de Craen AJ, Bis JC, Bonnefond A, Boucher G, Cadby G, Cheng YC, Chiang CW, Delgado G, Demirkan A, Dueker N, Eklund N, Eiriksdottir G, Eriksson J, Feenstra B, Fischer K, Frau F, Galesloot TE, Geller F, Goel A, Gorski M, Grammer TB, Gustafsson S, Haitjema S, Hottenga JJ, Huffman JE, Jackson AU, Jacobs KB, Johansson Å, Kaakinen M, Kleber ME, Lahti J, Mateo Leach I, Lehne B, Liu Y, Lo KS, Lorentzon M, Luan J, Madden PA, Mangino M, McKnight B, Medina-Gomez C, Monda KL, Montasser ME, Müller G, Müller-Nurasyid M, Nolte IM, Panoutsopoulou K, Pascoe L, Paternoster L, Rayner NW, Renström F, Rizzi F, Rose LM, Ryan KA, Salo P, Sanna S, Scharnagl H, Shi J, Smith AV, Southam L, Stančáková A, Steinthorsdottir V, Strawbridge RJ, Sung YJ, Tachmazidou I, Tanaka T, Thorleifsson G, Trompet S, Pervjakova N, Tyrer JP, Vandenput L, van der Laan SW, van der Velde N, van Setten J, van Vliet-Ostaptchouk JV, Verweij N, Vlachopoulou E, Waite LL, Wang SR, Wang Z, Wild SH, Willenborg C, Wilson JF, Wong A, Yang J, Yengo L, Yerges-Armstrong LM, Yu L, Zhang W, Zhao JH, Andersson EA, Bakker SJ, Baldassarre D, Banasik K, Barcella M, Barlassina C, Bellis C, Benaglio P, Blangero J, Blüher M, Bonnet F, Bonnycastle LL, Boyd HA, Bruinenberg M, Buchman AS, Campbell H, Chen YI, Chines PS, Claudi-Boehm S, Cole J, Collins FS, de Geus EJ, de Groot LC, Dimitriou M, Duan J, Enroth S, Eury E, Farmaki AE, Forouhi NG, Friedrich N, Gejman PV, Gigante B, Glorioso N, Go AS, Gottesman O, Gräßler J, Grallert H, Grarup N, Gu YM, Broer L, Ham AC, Hansen T, Harris TB, Hartman CA, Hassinen M, Hastie N, Hattersley AT, Heath AC, Henders AK, Hernandez D, Hillege H, Holmen O, Hovingh KG, Hui J, Husemoen LL, Hutri-Kähönen N, Hysi PG, Illig T, De Jager PL, Jalilzadeh S, Jørgensen T, Jukema JW, Juonala M, Kanoni S, Karaleftheri M, Khaw KT, Kinnunen L, Kittner SJ, Koenig W, Kolcic I, Kovacs P, Krarup NT, Kratzer W, Krüger J, Kuh D, Kumari M, Kyriakou T, Langenberg C, Lannfelt L, Lanzani C, Lotay V, Launer LJ, Leander K, Lindström J, Linneberg A, Liu YP, Lobbens S, Luben R, Lyssenko V, Männistö S, Magnusson PK, McArdle WL, Menni C, Merger S, Milani L, Montgomery GW, Morris AP, Narisu N, Nelis M, Ong KK, Palotie A, Pérusse L, Pichler I, Pilia MG, Pouta A, Rheinberger M, Ribel-Madsen R, Richards M, Rice KM, Rice TK, Rivolta C, Salomaa V, Sanders AR, Sarzynski MA, Scholtens S, Scott RA, Scott WR, Sebert S, Sengupta S, Sennblad B, Seufferlein T, Silveira A, Slagboom PE, Smit JH, Sparsø TH, Stirrups K, Stolk RP, Stringham HM, Swertz MA, Swift AJ, Syvänen AC, Tan ST, Thorand B, Tönjes A, Tremblay A, Tsafantakis E, van der Most PJ, Völker U, Vohl MC, Vonk JM, Waldenberger M, Walker RW, Wennauer R, Widén E, Willemsen G, Wilsgaard T, Wright AF, Zillikens MC, van Dijk SC, van Schoor NM, Asselbergs FW, de Bakker PI, Beckmann JS, Beilby J, Bennett DA, Bergman RN, Bergmann S, Böger CA, Boehm BO, Boerwinkle E, Boomsma DI, Bornstein SR, Bottinger EP, Bouchard C, Chambers JC, Chanock SJ, Chasman DI, Cucca F, Cusi D, Dedoussis G, Erdmann J, Eriksson JG, Evans DA, de Faire U, Farrall M, Ferrucci L, Ford I, Franke L, Franks PW, Froguel P, Gansevoort RT, Gieger C, Grönberg H, Gudnason V, Gyllensten U, Hall P, Hamsten A, van der Harst P, Hayward C, Heliövaara M, Hengstenberg C, Hicks AA, Hingorani A, Hofman A, Hu F, Huikuri HV, Hveem K, James AL, Jordan JM, Jula A, Kähönen M, Kajantie E, Kathiresan S, Kiemeney LA, Kivimaki M, Knekt PB, Koistinen HA, Kooner JS, Koskinen S, Kuusisto J, Maerz W, Martin NG, Laakso M, Lakka TA, Lehtimäki T, Lettre G, Levinson DF, Lind L, Lokki ML, Mäntyselkä P, Melbye M, Metspalu A, Mitchell BD, Moll FL, Murray JC, Musk AW, Nieminen MS, Njølstad I, Ohlsson C, Oldehinkel AJ, Oostra BA, Palmer LJ, Pankow JS, Pasterkamp G, Pedersen NL, Pedersen O, Penninx BW, Perola M, Peters A, Polašek O, Pramstaller PP, Psaty BM, Qi L, Quertermous T, Raitakari OT, Rankinen T, Rauramaa R, Ridker PM, Rioux JD, Rivadeneira F, Rotter JI, Rudan I, den Ruijter HM, Saltevo J, Sattar N, Schunkert H, Schwarz PE, Shuldiner AR, Sinisalo J, Snieder H, Sørensen TI, Spector TD, Staessen JA, Stefania B, Thorsteinsdottir U, Stumvoll M, Tardif JC, Tremoli E, Tuomilehto J, Uitterlinden AG, Uusitupa M, Verbeek AL, Vermeulen SH, Viikari JS, Vitart V, Völzke H, Vollenweider P, Waeber G, Walker M, Wallaschofski H, Wareham NJ, Watkins H, Zeggini E, Chakravarti A, Clegg DJ, Cupples LA, Gordon-Larsen P, Jaquish CE, Rao DC, Abecasis GR, Assimes TL, Barroso I, Berndt SI, Boehnke M, Deloukas P, Fox CS, Groop LC, Hunter DJ, Ingelsson E, Kaplan RC, McCarthy MI, Mohlke KL, O'Connell JR, Schlessinger D, Strachan DP, Stefansson K, van Duijn CM, Hirschhorn JN, Lindgren CM, Heid IM, North KE, Borecki IB, Kutalik Z, Loos RJ.
PMID: 27355579
PLoS Genet. 2016 Jun 29;12(6):e1006166. doi: 10.1371/journal.pgen.1006166. eCollection 2016 Jun.

[This corrects the article DOI: 10.1371/journal.pgen.1005378.].

Cite
Winkler TW, Justice AE, Graff M, et al. Correction: The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study. PLoS Genet. 2016;12(6):e1006166doi: 10.1371/journal.pgen.1006166.
Winkler, T. W., Justice, A. E., Graff, M., Barata, L., Feitosa, M. F., Chu, S., Czajkowski, J., Esko, T., Fall, T., Kilpeläinen, T. O., Lu, Y., Mägi, R., Mihailov, E., Pers, T. H., Rüeger, S., Teumer, A., Ehret, G. B., Ferreira, T., Heard-Costa, N. L., Karjalainen, J., Lagou, V., Mahajan, A., Neinast, M. D., Prokopenko, I., Simino, J., Teslovich, T. M., Jansen, R., Westra, H. J., White, C. C., Absher, D., Ahluwalia, T. S., Ahmad, S., Albrecht, E., Alves, A. C., Bragg-Gresham, J. L., de Craen, A. J., Bis, J. C., Bonnefond, A., Boucher, G., Cadby, G., Cheng, Y. C., Chiang, C. W., Delgado, G., Demirkan, A., Dueker, N., Eklund, N., Eiriksdottir, G., Eriksson, J., Feenstra, B., Fischer, K., Frau, F., Galesloot, T. E., Geller, F., Goel, A., Gorski, M., Grammer, T. B., Gustafsson, S., Haitjema, S., Hottenga, J. J., Huffman, J. E., Jackson, A. U., Jacobs, K. B., Johansson, �. �., Kaakinen, M., Kleber, M. E., Lahti, J., Mateo Leach, I., Lehne, B., Liu, Y., Lo, K. S., Lorentzon, M., Luan, J., Madden, P. A., Mangino, M., McKnight, B., Medina-Gomez, C., Monda, K. L., Montasser, M. E., Müller, G., Müller-Nurasyid, M., Nolte, I. M., Panoutsopoulou, K., Pascoe, L., Paternoster, L., Rayner, N. W., Renström, F., Rizzi, F., Rose, L. M., Ryan, K. A., Salo, P., Sanna, S., Scharnagl, H., Shi, J., Smith, A. V., Southam, L., Stančáková, A., Steinthorsdottir, V., Strawbridge, R. J., Sung, Y. J., Tachmazidou, I., Tanaka, T., Thorleifsson, G., Trompet, S., Pervjakova, N., Tyrer, J. P., Vandenput, L., van der Laan, S. W., van der Velde, N., van Setten, J., van Vliet-Ostaptchouk, J. V., Verweij, N., Vlachopoulou, E., Waite, L. L., Wang, S. R., Wang, Z., Wild, S. H., Willenborg, C., Wilson, J. F., Wong, A., Yang, J., Yengo, L., Yerges-Armstrong, L. M., Yu, L., Zhang, W., Zhao, J. H., Andersson, E. A., Bakker, S. J., Baldassarre, D., Banasik, K., Barcella, M., Barlassina, C., Bellis, C., Benaglio, P., Blangero, J., Blüher, M., Bonnet, F., Bonnycastle, L. L., Boyd, H. A., Bruinenberg, M., Buchman, A. S., Campbell, H., Chen, Y. I., Chines, P. S., Claudi-Boehm, S., Cole, J., Collins, F. S., de Geus, E. J., de Groot, L. C., Dimitriou, M., Duan, J., Enroth, S., Eury, E., Farmaki, A. E., Forouhi, N. G., Friedrich, N., Gejman, P. V., Gigante, B., Glorioso, N., Go, A. S., Gottesman, O., Gräßler, J., Grallert, H., Grarup, N., Gu, Y. M., Broer, L., Ham, A. C., Hansen, T., Harris, T. B., Hartman, C. A., Hassinen, M., Hastie, N., Hattersley, A. T., Heath, A. C., Henders, A. K., Hernandez, D., Hillege, H., Holmen, O., Hovingh, K. G., Hui, J., Husemoen, L. L., Hutri-Kähönen, N., Hysi, P. G., Illig, T., De Jager, P. L., Jalilzadeh, S., Jørgensen, T., Jukema, J. W., Juonala, M., Kanoni, S., Karaleftheri, M., Khaw, K. T., Kinnunen, L., Kittner, S. J., Koenig, W., Kolcic, I., Kovacs, P., Krarup, N. T., Kratzer, W., Krüger, J., Kuh, D., Kumari, M., Kyriakou, T., Langenberg, C., Lannfelt, L., Lanzani, C., Lotay, V., Launer, L. J., Leander, K., Lindström, J., Linneberg, A., Liu, Y. P., Lobbens, S., Luben, R., Lyssenko, V., Männistö, S., Magnusson, P. K., McArdle, W. L., Menni, C., Merger, S., Milani, L., Montgomery, G. W., Morris, A. P., Narisu, N., Nelis, M., Ong, K. K., Palotie, A., Pérusse, L., Pichler, I., Pilia, M. G., Pouta, A., Rheinberger, M., Ribel-Madsen, R., Richards, M., Rice, K. M., Rice, T. K., Rivolta, C., Salomaa, V., Sanders, A. R., Sarzynski, M. A., Scholtens, S., Scott, R. A., Scott, W. R., Sebert, S., Sengupta, S., Sennblad, B., Seufferlein, T., Silveira, A., Slagboom, P. E., Smit, J. H., Sparsø, T. H., Stirrups, K., Stolk, R. P., Stringham, H. M., Swertz, M. A., Swift, A. J., Syvänen, A. C., Tan, S. T., Thorand, B., Tönjes, A., Tremblay, A., Tsafantakis, E., van der Most, P. J., Völker, U., Vohl, M. C., Vonk, J. M., Waldenberger, M., Walker, R. W., Wennauer, R., Widén, E., Willemsen, G., Wilsgaard, T., Wright, A. F., Zillikens, M. C., van Dijk, S. C., van Schoor, N. M., Asselbergs, F. W., de Bakker, P. I., Beckmann, J. S., Beilby, J., Bennett, D. A., Bergman, R. N., Bergmann, S., Böger, C. A., Boehm, B. O., Boerwinkle, E., Boomsma, D. I., Bornstein, S. R., Bottinger, E. P., Bouchard, C., Chambers, J. C., Chanock, S. J., Chasman, D. I., Cucca, F., Cusi, D., Dedoussis, G., Erdmann, J., Eriksson, J. G., Evans, D. A., de Faire, U., Farrall, M., Ferrucci, L., Ford, I., Franke, L., Franks, P. W., Froguel, P., Gansevoort, R. T., Gieger, C., Grönberg, H., Gudnason, V., Gyllensten, U., Hall, P., Hamsten, A., van der Harst, P., Hayward, C., Heliövaara, M., Hengstenberg, C., Hicks, A. A., Hingorani, A., Hofman, A., Hu, F., Huikuri, H. V., Hveem, K., James, A. L., Jordan, J. M., Jula, A., Kähönen, M., Kajantie, E., Kathiresan, S., Kiemeney, L. A., Kivimaki, M., Knekt, P. B., Koistinen, H. A., Kooner, J. S., Koskinen, S., Kuusisto, J., Maerz, W., Martin, N. G., Laakso, M., Lakka, T. A., Lehtimäki, T., Lettre, G., Levinson, D. F., Lind, L., Lokki, M. L., Mäntyselkä, P., Melbye, M., Metspalu, A., Mitchell, B. D., Moll, F. L., Murray, J. C., Musk, A. W., Nieminen, M. S., Njølstad, I., Ohlsson, C., Oldehinkel, A. J., Oostra, B. A., Palmer, L. J., Pankow, J. S., Pasterkamp, G., Pedersen, N. L., Pedersen, O., Penninx, B. W., Perola, M., Peters, A., Polašek, O., Pramstaller, P. P., Psaty, B. M., Qi, L., Quertermous, T., Raitakari, O. T., Rankinen, T., Rauramaa, R., Ridker, P. M., Rioux, J. D., Rivadeneira, F., Rotter, J. I., Rudan, I., den Ruijter, H. M., Saltevo, J., Sattar, N., Schunkert, H., Schwarz, P. E., Shuldiner, A. R., Sinisalo, J., Snieder, H., Sørensen, T. I., Spector, T. D., Staessen, J. A., Stefania, B., Thorsteinsdottir, U., Stumvoll, M., Tardif, J. C., Tremoli, E., Tuomilehto, J., Uitterlinden, A. G., Uusitupa, M., Verbeek, A. L., Vermeulen, S. H., Viikari, J. S., Vitart, V., Völzke, H., Vollenweider, P., Waeber, G., Walker, M., Wallaschofski, H., Wareham, N. J., Watkins, H., Zeggini, E., Chakravarti, A., Clegg, D. J., Cupples, L. A., Gordon-Larsen, P., Jaquish, C. E., Rao, D. C., Abecasis, G. R., Assimes, T. L., Barroso, I., Berndt, S. I., Boehnke, M., Deloukas, P., Fox, C. S., Groop, L. C., Hunter, D. J., Ingelsson, E., Kaplan, R. C., McCarthy, M. I., Mohlke, K. L., O'Connell, J. R., Schlessinger, D., Strachan, D. P., Stefansson, K., van Duijn, C. M., Hirschhorn, J. N., Lindgren, C. M., Heid, I. M., North, K. E., Borecki, I. B., Kutalik, Z., & Loos, R. J. (2016). Correction: The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study. PLoS genetics, 12(6), e1006166. https://doi.org/10.1371/journal.pgen.1006166
Winkler, Thomas W, et al. "Correction: The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study." PLoS genetics vol. 12,6 (2016): e1006166. doi: https://doi.org/10.1371/journal.pgen.1006166
Winkler TW, Justice AE, Graff M, Barata L, Feitosa MF, Chu S, Czajkowski J, Esko T, Fall T, Kilpeläinen TO, Lu Y, Mägi R, Mihailov E, Pers TH, Rüeger S, Teumer A, Ehret GB, Ferreira T, Heard-Costa NL, Karjalainen J, Lagou V, Mahajan A, Neinast MD, Prokopenko I, Simino J, Teslovich TM, Jansen R, Westra HJ, White CC, Absher D, Ahluwalia TS, Ahmad S, Albrecht E, Alves AC, Bragg-Gresham JL, de Craen AJ, Bis JC, Bonnefond A, Boucher G, Cadby G, Cheng YC, Chiang CW, Delgado G, Demirkan A, Dueker N, Eklund N, Eiriksdottir G, Eriksson J, Feenstra B, Fischer K, Frau F, Galesloot TE, Geller F, Goel A, Gorski M, Grammer TB, Gustafsson S, Haitjema S, Hottenga JJ, Huffman JE, Jackson AU, Jacobs KB, Johansson Å, Kaakinen M, Kleber ME, Lahti J, Mateo Leach I, Lehne B, Liu Y, Lo KS, Lorentzon M, Luan J, Madden PA, Mangino M, McKnight B, Medina-Gomez C, Monda KL, Montasser ME, Müller G, Müller-Nurasyid M, Nolte IM, Panoutsopoulou K, Pascoe L, Paternoster L, Rayner NW, Renström F, Rizzi F, Rose LM, Ryan KA, Salo P, Sanna S, Scharnagl H, Shi J, Smith AV, Southam L, Stančáková A, Steinthorsdottir V, Strawbridge RJ, Sung YJ, Tachmazidou I, Tanaka T, Thorleifsson G, Trompet S, Pervjakova N, Tyrer JP, Vandenput L, van der Laan SW, van der Velde N, van Setten J, van Vliet-Ostaptchouk JV, Verweij N, Vlachopoulou E, Waite LL, Wang SR, Wang Z, Wild SH, Willenborg C, Wilson JF, Wong A, Yang J, Yengo L, Yerges-Armstrong LM, Yu L, Zhang W, Zhao JH, Andersson EA, Bakker SJ, Baldassarre D, Banasik K, Barcella M, Barlassina C, Bellis C, Benaglio P, Blangero J, Blüher M, Bonnet F, Bonnycastle LL, Boyd HA, Bruinenberg M, Buchman AS, Campbell H, Chen YI, Chines PS, Claudi-Boehm S, Cole J, Collins FS, de Geus EJ, de Groot LC, Dimitriou M, Duan J, Enroth S, Eury E, Farmaki AE, Forouhi NG, Friedrich N, Gejman PV, Gigante B, Glorioso N, Go AS, Gottesman O, Gräßler J, Grallert H, Grarup N, Gu YM, Broer L, Ham AC, Hansen T, Harris TB, Hartman CA, Hassinen M, Hastie N, Hattersley AT, Heath AC, Henders AK, Hernandez D, Hillege H, Holmen O, Hovingh KG, Hui J, Husemoen LL, Hutri-Kähönen N, Hysi PG, Illig T, De Jager PL, Jalilzadeh S, Jørgensen T, Jukema JW, Juonala M, Kanoni S, Karaleftheri M, Khaw KT, Kinnunen L, Kittner SJ, Koenig W, Kolcic I, Kovacs P, Krarup NT, Kratzer W, Krüger J, Kuh D, Kumari M, Kyriakou T, Langenberg C, Lannfelt L, Lanzani C, Lotay V, Launer LJ, Leander K, Lindström J, Linneberg A, Liu YP, Lobbens S, Luben R, Lyssenko V, Männistö S, Magnusson PK, McArdle WL, Menni C, Merger S, Milani L, Montgomery GW, Morris AP, Narisu N, Nelis M, Ong KK, Palotie A, Pérusse L, Pichler I, Pilia MG, Pouta A, Rheinberger M, Ribel-Madsen R, Richards M, Rice KM, Rice TK, Rivolta C, Salomaa V, Sanders AR, Sarzynski MA, Scholtens S, Scott RA, Scott WR, Sebert S, Sengupta S, Sennblad B, Seufferlein T, Silveira A, Slagboom PE, Smit JH, Sparsø TH, Stirrups K, Stolk RP, Stringham HM, Swertz MA, Swift AJ, Syvänen AC, Tan ST, Thorand B, Tönjes A, Tremblay A, Tsafantakis E, van der Most PJ, Völker U, Vohl MC, Vonk JM, Waldenberger M, Walker RW, Wennauer R, Widén E, Willemsen G, Wilsgaard T, Wright AF, Zillikens MC, van Dijk SC, van Schoor NM, Asselbergs FW, de Bakker PI, Beckmann JS, Beilby J, Bennett DA, Bergman RN, Bergmann S, Böger CA, Boehm BO, Boerwinkle E, Boomsma DI, Bornstein SR, Bottinger EP, Bouchard C, Chambers JC, Chanock SJ, Chasman DI, Cucca F, Cusi D, Dedoussis G, Erdmann J, Eriksson JG, Evans DA, de Faire U, Farrall M, Ferrucci L, Ford I, Franke L, Franks PW, Froguel P, Gansevoort RT, Gieger C, Grönberg H, Gudnason V, Gyllensten U, Hall P, Hamsten A, van der Harst P, Hayward C, Heliövaara M, Hengstenberg C, Hicks AA, Hingorani A, Hofman A, Hu F, Huikuri HV, Hveem K, James AL, Jordan JM, Jula A, Kähönen M, Kajantie E, Kathiresan S, Kiemeney LA, Kivimaki M, Knekt PB, Koistinen HA, Kooner JS, Koskinen S, Kuusisto J, Maerz W, Martin NG, Laakso M, Lakka TA, Lehtimäki T, Lettre G, Levinson DF, Lind L, Lokki ML, Mäntyselkä P, Melbye M, Metspalu A, Mitchell BD, Moll FL, Murray JC, Musk AW, Nieminen MS, Njølstad I, Ohlsson C, Oldehinkel AJ, Oostra BA, Palmer LJ, Pankow JS, Pasterkamp G, Pedersen NL, Pedersen O, Penninx BW, Perola M, Peters A, Polašek O, Pramstaller PP, Psaty BM, Qi L, Quertermous T, Raitakari OT, Rankinen T, Rauramaa R, Ridker PM, Rioux JD, Rivadeneira F, Rotter JI, Rudan I, den Ruijter HM, Saltevo J, Sattar N, Schunkert H, Schwarz PE, Shuldiner AR, Sinisalo J, Snieder H, Sørensen TI, Spector TD, Staessen JA, Stefania B, Thorsteinsdottir U, Stumvoll M, Tardif JC, Tremoli E, Tuomilehto J, Uitterlinden AG, Uusitupa M, Verbeek AL, Vermeulen SH, Viikari JS, Vitart V, Völzke H, Vollenweider P, Waeber G, Walker M, Wallaschofski H, Wareham NJ, Watkins H, Zeggini E, Chakravarti A, Clegg DJ, Cupples LA, Gordon-Larsen P, Jaquish CE, Rao DC, Abecasis GR, Assimes TL, Barroso I, Berndt SI, Boehnke M, Deloukas P, Fox CS, Groop LC, Hunter DJ, Ingelsson E, Kaplan RC, McCarthy MI, Mohlke KL, O'Connell JR, Schlessinger D, Strachan DP, Stefansson K, van Duijn CM, Hirschhorn JN, Lindgren CM, Heid IM, North KE, Borecki IB, Kutalik Z, Loos RJ. Correction: The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study. PLoS Genet. 2016 Jun 29;12(6):e1006166. doi: 10.1371/journal.pgen.1006166. eCollection 2016 Jun. PMID: 27355579; PMCID: PMC4927064.
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Impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using Sequential Oligogenic Linkage Analysis Routines.

Journal of medical imaging (Bellingham, Wash.)

Koran ME, Thornton-Wells TA, Jahanshad N, Glahn DC, Thompson PM, Blangero J, Nichols TE, Kochunov P, Landman BA.
PMID: 25558465
J Med Imaging (Bellingham). 2014 Jun 27;1(1):014005. doi: 10.1117/1.JMI.1.1.014005.

Imaging genetics is an emerging methodological field that combines genetic information with medical imaging-derived metrics to understand how genetic factors impact observable phenotypes. In order for a trait to be a reasonable phenotype in an imaging genetics study, it...

Cite
Koran ME, Thornton-Wells TA, Jahanshad N, et al. Impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using Sequential Oligogenic Linkage Analysis Routines. J Med Imaging (Bellingham). 2014;1(1):014005doi: 10.1117/1.JMI.1.1.014005.
Koran, M. E., Thornton-Wells, T. A., Jahanshad, N., Glahn, D. C., Thompson, P. M., Blangero, J., Nichols, T. E., Kochunov, P., & Landman, B. A. (2014). Impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using Sequential Oligogenic Linkage Analysis Routines. Journal of medical imaging (Bellingham, Wash.), 1(1), 014005. https://doi.org/10.1117/1.JMI.1.1.014005
Koran, Mary Ellen, et al. "Impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using Sequential Oligogenic Linkage Analysis Routines." Journal of medical imaging (Bellingham, Wash.) vol. 1,1 (2014): 014005. doi: https://doi.org/10.1117/1.JMI.1.1.014005
Koran ME, Thornton-Wells TA, Jahanshad N, Glahn DC, Thompson PM, Blangero J, Nichols TE, Kochunov P, Landman BA. Impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using Sequential Oligogenic Linkage Analysis Routines. J Med Imaging (Bellingham). 2014 Jun 27;1(1):014005. doi: 10.1117/1.JMI.1.1.014005. PMID: 25558465; PMCID: PMC4281883.
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Acute nicotine administration effects on fractional anisotropy of cerebral white matter and associated attention performance.

Frontiers in pharmacology

Kochunov P, Du X, Moran LV, Sampath H, Wijtenburg SA, Yang Y, Rowland LM, Stein EA, Hong LE.
PMID: 24065920
Front Pharmacol. 2013 Sep 18;4:117. doi: 10.3389/fphar.2013.00117. eCollection 2013.

INTRODUCTION: Nicotinic acetylcholine receptors are present in the cerebral white matter (WM). We hypothesized that WM response to nicotine can be detected by diffusion tensor imaging (DTI); and that such responses may be associated with nicotine-led cognitive enhancement in...

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Kochunov P, Du X, Moran LV, et al. Acute nicotine administration effects on fractional anisotropy of cerebral white matter and associated attention performance. Front Pharmacol. 2013;4:117doi: 10.3389/fphar.2013.00117.
Kochunov, P., Du, X., Moran, L. V., Sampath, H., Wijtenburg, S. A., Yang, Y., Rowland, L. M., Stein, E. A., & Hong, L. E. (2013). Acute nicotine administration effects on fractional anisotropy of cerebral white matter and associated attention performance. Frontiers in pharmacology, 4117. https://doi.org/10.3389/fphar.2013.00117
Kochunov, Peter, et al. "Acute nicotine administration effects on fractional anisotropy of cerebral white matter and associated attention performance." Frontiers in pharmacology vol. 4 (2013): 117. doi: https://doi.org/10.3389/fphar.2013.00117
Kochunov P, Du X, Moran LV, Sampath H, Wijtenburg SA, Yang Y, Rowland LM, Stein EA, Hong LE. Acute nicotine administration effects on fractional anisotropy of cerebral white matter and associated attention performance. Front Pharmacol. 2013 Sep 18;4:117. doi: 10.3389/fphar.2013.00117. eCollection 2013. PMID: 24065920; PMCID: PMC3776159.
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A variance component method for integrated pathway analysis of gene expression data.

BMC proceedings

Quillen EE, Blangero J, Almasy L.
PMID: 27980659
BMC Proc. 2016 Oct 18;10:337-342. doi: 10.1186/s12919-016-0053-6. eCollection 2016.

BACKGROUND: The application of pathway and gene-set based analyses to high-throughput data is increasingly common and represents an effort to understand underlying biology where single-gene or single-marker analyses have failed. Many such analyses rely on the a priori identification...

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Quillen EE, Blangero J, Almasy L. A variance component method for integrated pathway analysis of gene expression data. BMC Proc. 2016;10:337-342doi: 10.1186/s12919-016-0053-6.
Quillen, E. E., Blangero, J., & Almasy, L. (2016). A variance component method for integrated pathway analysis of gene expression data. BMC proceedings, 10337-342. https://doi.org/10.1186/s12919-016-0053-6
Quillen, Ellen E, et al. "A variance component method for integrated pathway analysis of gene expression data." BMC proceedings vol. 10 (2016): 337-342. doi: https://doi.org/10.1186/s12919-016-0053-6
Quillen EE, Blangero J, Almasy L. A variance component method for integrated pathway analysis of gene expression data. BMC Proc. 2016 Oct 18;10:337-342. doi: 10.1186/s12919-016-0053-6. eCollection 2016. PMID: 27980659; PMCID: PMC5133490.
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The ENIGMA-Epilepsy working group: Mapping disease from large data sets.

Human brain mapping

Sisodiya SM, Whelan CD, Hatton SN, Huynh K, Altmann A, Ryten M, Vezzani A, Caligiuri ME, Labate A, Gambardella A, Ives-Deliperi V, Meletti S, Munsell BC, Bonilha L, Tondelli M, Rebsamen M, Rummel C, Vaudano AE, Wiest R, Balachandra AR, Bargalló N, Bartolini E, Bernasconi A, Bernasconi N, Bernhardt B, Caldairou B, Carr SJA, Cavalleri GL, Cendes F, Concha L, Desmond PM, Domin M, Duncan JS, Focke NK, Guerrini R, Hamandi K, Jackson GD, Jahanshad N, Kälviäinen R, Keller SS, Kochunov P, Kowalczyk MA, Kreilkamp BAK, Kwan P, Lariviere S, Lenge M, Lopez SM, Martin P, Mascalchi M, Moreira JCV, Morita-Sherman ME, Pardoe HR, Pariente JC, Raviteja K, Rocha CS, Rodríguez-Cruces R, Seeck M, Semmelroch MKHG, Sinclair B, Soltanian-Zadeh H, Stein DJ, Striano P, Taylor PN, Thomas RH, Thomopoulos SI, Velakoulis D, Vivash L, Weber B, Yasuda CL, Zhang J, Thompson PM, McDonald CR.
PMID: 32468614
Hum Brain Mapp. 2020 May 29; doi: 10.1002/hbm.25037. Epub 2020 May 29.

Epilepsy is a common and serious neurological disorder, with many different constituent conditions characterized by their electro clinical, imaging, and genetic features. MRI has been fundamental in advancing our understanding of brain processes in the epilepsies. Smaller-scale studies have...

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Sisodiya SM, Whelan CD, Hatton SN, et al. The ENIGMA-Epilepsy working group: Mapping disease from large data sets. Hum Brain Mapp. 2020;doi: 10.1002/hbm.25037.
Sisodiya, S. M., Whelan, C. D., Hatton, S. N., Huynh, K., Altmann, A., Ryten, M., Vezzani, A., Caligiuri, M. E., Labate, A., Gambardella, A., Ives-Deliperi, V., Meletti, S., Munsell, B. C., Bonilha, L., Tondelli, M., Rebsamen, M., Rummel, C., Vaudano, A. E., Wiest, R., Balachandra, A. R., Bargalló, N., Bartolini, E., Bernasconi, A., Bernasconi, N., Bernhardt, B., Caldairou, B., Carr, S. J. A., Cavalleri, G. L., Cendes, F., Concha, L., Desmond, P. M., Domin, M., Duncan, J. S., Focke, N. K., Guerrini, R., Hamandi, K., Jackson, G. D., Jahanshad, N., Kälviäinen, R., Keller, S. S., Kochunov, P., Kowalczyk, M. A., Kreilkamp, B. A. K., Kwan, P., Lariviere, S., Lenge, M., Lopez, S. M., Martin, P., Mascalchi, M., Moreira, J. C. V., Morita-Sherman, M. E., Pardoe, H. R., Pariente, J. C., Raviteja, K., Rocha, C. S., Rodríguez-Cruces, R., Seeck, M., Semmelroch, M. K. H. G., Sinclair, B., Soltanian-Zadeh, H., Stein, D. J., Striano, P., Taylor, P. N., Thomas, R. H., Thomopoulos, S. I., Velakoulis, D., Vivash, L., Weber, B., Yasuda, C. L., Zhang, J., Thompson, P. M., McDonald, C. R. (2020). The ENIGMA-Epilepsy working group: Mapping disease from large data sets. Human brain mapping, . https://doi.org/10.1002/hbm.25037
Sisodiya, Sanjay M, et al. "The ENIGMA-Epilepsy working group: Mapping disease from large data sets." Human brain mapping vol. (2020). doi: https://doi.org/10.1002/hbm.25037
Sisodiya SM, Whelan CD, Hatton SN, Huynh K, Altmann A, Ryten M, Vezzani A, Caligiuri ME, Labate A, Gambardella A, Ives-Deliperi V, Meletti S, Munsell BC, Bonilha L, Tondelli M, Rebsamen M, Rummel C, Vaudano AE, Wiest R, Balachandra AR, Bargalló N, Bartolini E, Bernasconi A, Bernasconi N, Bernhardt B, Caldairou B, Carr SJA, Cavalleri GL, Cendes F, Concha L, Desmond PM, Domin M, Duncan JS, Focke NK, Guerrini R, Hamandi K, Jackson GD, Jahanshad N, Kälviäinen R, Keller SS, Kochunov P, Kowalczyk MA, Kreilkamp BAK, Kwan P, Lariviere S, Lenge M, Lopez SM, Martin P, Mascalchi M, Moreira JCV, Morita-Sherman ME, Pardoe HR, Pariente JC, Raviteja K, Rocha CS, Rodríguez-Cruces R, Seeck M, Semmelroch MKHG, Sinclair B, Soltanian-Zadeh H, Stein DJ, Striano P, Taylor PN, Thomas RH, Thomopoulos SI, Velakoulis D, Vivash L, Weber B, Yasuda CL, Zhang J, Thompson PM, McDonald CR. The ENIGMA-Epilepsy working group: Mapping disease from large data sets. Hum Brain Mapp. 2020 May 29; doi: 10.1002/hbm.25037. Epub 2020 May 29. PMID: 32468614.
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Hippocampus and cognitive domain deficits in treatment-resistant schizophrenia: A comparison with matched treatment-responsive patients and healthy controls.

Psychiatry research. Neuroimaging

Huang J, Zhu Y, Fan F, Chen S, Hong Y, Cui Y, Luo X, Tan S, Wang Z, Shang L, Yuan Y, Zhang J, Yang F, Li CR, Rowland LM, Kochunov P, Zhang F, Hong LE, Tan Y.
PMID: 32062167
Psychiatry Res Neuroimaging. 2020 Feb 04;297:111043. doi: 10.1016/j.pscychresns.2020.111043. Epub 2020 Feb 04.

Some patients with schizophrenia do not respond to pharmacotherapy. More severe cognitive dysfunctions have been associated with treatment-resistant schizophrenia (TRS). This study examines cognitive functions and hippocampal volumes in 43 patients with TRS and compared them to 43 treatment-responsive...

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Huang J, Zhu Y, Fan F, et al. Hippocampus and cognitive domain deficits in treatment-resistant schizophrenia: A comparison with matched treatment-responsive patients and healthy controls. Psychiatry Res Neuroimaging. 2020;297:111043doi: 10.1016/j.pscychresns.2020.111043.
Huang, J., Zhu, Y., Fan, F., Chen, S., Hong, Y., Cui, Y., Luo, X., Tan, S., Wang, Z., Shang, L., Yuan, Y., Zhang, J., Yang, F., Li, C. R., Rowland, L. M., Kochunov, P., Zhang, F., Hong, L. E., & Tan, Y. (2020). Hippocampus and cognitive domain deficits in treatment-resistant schizophrenia: A comparison with matched treatment-responsive patients and healthy controls. Psychiatry research. Neuroimaging, 297111043. https://doi.org/10.1016/j.pscychresns.2020.111043
Huang, Junchao, et al. "Hippocampus and cognitive domain deficits in treatment-resistant schizophrenia: A comparison with matched treatment-responsive patients and healthy controls." Psychiatry research. Neuroimaging vol. 297 (2020): 111043. doi: https://doi.org/10.1016/j.pscychresns.2020.111043
Huang J, Zhu Y, Fan F, Chen S, Hong Y, Cui Y, Luo X, Tan S, Wang Z, Shang L, Yuan Y, Zhang J, Yang F, Li CR, Rowland LM, Kochunov P, Zhang F, Hong LE, Tan Y. Hippocampus and cognitive domain deficits in treatment-resistant schizophrenia: A comparison with matched treatment-responsive patients and healthy controls. Psychiatry Res Neuroimaging. 2020 Feb 04;297:111043. doi: 10.1016/j.pscychresns.2020.111043. Epub 2020 Feb 04. PMID: 32062167; PMCID: PMC7490244.
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White matter alterations and the conversion to psychosis: A combined diffusion tensor imaging and glutamate .

Schizophrenia research

León-Ortiz P, Reyes-Madrigal F, Kochunov P, Gómez-Cruz G, Moncada-Habib T, Malacara M, Mora-Durán R, Rowland LM, de la Fuente-Sandoval C.
PMID: 32595100
Schizophr Res. 2020 Jun 25; doi: 10.1016/j.schres.2020.06.006. Epub 2020 Jun 25.

INTRODUCTION: Widespread white matter abnormalities and alterations in glutamate levels have been reported in patients with schizophrenia. We hypothesized that alterations in white matter integrity and glutamate levels in individuals at clinical high risk (CHR) for psychosis are associated...

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León-Ortiz P, Reyes-Madrigal F, Kochunov P, et al. White matter alterations and the conversion to psychosis: A combined diffusion tensor imaging and glutamate . Schizophr Res. 2020;doi: 10.1016/j.schres.2020.06.006.
León-Ortiz, P., Reyes-Madrigal, F., Kochunov, P., Gómez-Cruz, G., Moncada-Habib, T., Malacara, M., Mora-Durán, R., Rowland, L. M., & de la Fuente-Sandoval, C. (2020). White matter alterations and the conversion to psychosis: A combined diffusion tensor imaging and glutamate . Schizophrenia research, . https://doi.org/10.1016/j.schres.2020.06.006
León-Ortiz, Pablo, et al. "White matter alterations and the conversion to psychosis: A combined diffusion tensor imaging and glutamate ." Schizophrenia research vol. (2020). doi: https://doi.org/10.1016/j.schres.2020.06.006
León-Ortiz P, Reyes-Madrigal F, Kochunov P, Gómez-Cruz G, Moncada-Habib T, Malacara M, Mora-Durán R, Rowland LM, de la Fuente-Sandoval C. White matter alterations and the conversion to psychosis: A combined diffusion tensor imaging and glutamate . Schizophr Res. 2020 Jun 25; doi: 10.1016/j.schres.2020.06.006. Epub 2020 Jun 25. PMID: 32595100.
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Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

Kochunov P, Ma Y, Hatch KS, Schmaal L, Jahanshad N, Thompson PM, Adhikari BM, Bruce H, Chiappelli J, Van der Vaart A, Goldwaser EL, Sotiras A, Ma T, Chen S, Nichols TE, Hong LE.
PMID: 34890143
Pac Symp Biocomput. 2022;27:133-143.

Big Data neuroimaging collaborations including Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) integrated worldwide data to identify regional brain deficits in major depressive disorder (MDD). We evaluated the sensitivity of translating ENIGMA-defined MDD deficit patterns to the individual level....

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Kochunov P, Ma Y, Hatch KS, et al. Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product. Pac Symp Biocomput. 2022;27:133-143
Kochunov, P., Ma, Y., Hatch, K. S., Schmaal, L., Jahanshad, N., Thompson, P. M., Adhikari, B. M., Bruce, H., Chiappelli, J., Van der Vaart, A., Goldwaser, E. L., Sotiras, A., Ma, T., Chen, S., Nichols, T. E., & Hong, L. E. (2022). Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 27133-143.
Kochunov, Peter, et al. "Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product." Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing vol. 27 (2022): 133-143.
Kochunov P, Ma Y, Hatch KS, Schmaal L, Jahanshad N, Thompson PM, Adhikari BM, Bruce H, Chiappelli J, Van der Vaart A, Goldwaser EL, Sotiras A, Ma T, Chen S, Nichols TE, Hong LE. Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product. Pac Symp Biocomput. 2022;27:133-143. PMID: 34890143; PMCID: PMC8719281.
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Translating ENIGMA schizophrenia findings using the regional vulnerability index: Association with cognition, symptoms, and disease trajectory.

Human brain mapping

Kochunov P, Fan F, Ryan MC, Hatch KS, Tan S, Jahanshad N, Thompson PM, van Erp TGM, Turner JA, Chen S, Du X, Adhikari B, Bruce H, Hare S, Goldwaser E, Kvarta M, Huang J, Tong J, Cui Y, Cao B, Tan Y, Hong LE.
PMID: 32463560
Hum Brain Mapp. 2022 Jan;43(1):566-575. doi: 10.1002/hbm.25045. Epub 2020 May 28.

Patients with schizophrenia have patterns of brain deficits including reduced cortical thickness, subcortical gray matter volumes, and cerebral white matter integrity. We proposed the regional vulnerability index (RVI) to translate the results of Enhancing Neuro Imaging Genetics Meta-Analysis studies...

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Kochunov P, Fan F, Ryan MC, et al. Translating ENIGMA schizophrenia findings using the regional vulnerability index: Association with cognition, symptoms, and disease trajectory. Hum Brain Mapp. 2020;43(1):566-575doi: 10.1002/hbm.25045.
Kochunov, P., Fan, F., Ryan, M. C., Hatch, K. S., Tan, S., Jahanshad, N., Thompson, P. M., van Erp, T. G. M., Turner, J. A., Chen, S., Du, X., Adhikari, B., Bruce, H., Hare, S., Goldwaser, E., Kvarta, M., Huang, J., Tong, J., Cui, Y., Cao, B., Tan, Y., & Hong, L. E. (2022). Translating ENIGMA schizophrenia findings using the regional vulnerability index: Association with cognition, symptoms, and disease trajectory. Human brain mapping, 43(1), 566-575. https://doi.org/10.1002/hbm.25045
Kochunov, Peter, et al. "Translating ENIGMA schizophrenia findings using the regional vulnerability index: Association with cognition, symptoms, and disease trajectory." Human brain mapping vol. 43,1 (2022): 566-575. doi: https://doi.org/10.1002/hbm.25045
Kochunov P, Fan F, Ryan MC, Hatch KS, Tan S, Jahanshad N, Thompson PM, van Erp TGM, Turner JA, Chen S, Du X, Adhikari B, Bruce H, Hare S, Goldwaser E, Kvarta M, Huang J, Tong J, Cui Y, Cao B, Tan Y, Hong LE. Translating ENIGMA schizophrenia findings using the regional vulnerability index: Association with cognition, symptoms, and disease trajectory. Hum Brain Mapp. 2022 Jan;43(1):566-575. doi: 10.1002/hbm.25045. Epub 2020 May 28. PMID: 32463560.
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Intracranial and subcortical volumes in adolescents with early-onset psychosis: A multisite mega-analysis from the ENIGMA consortium.

Human brain mapping

Gurholt TP, Lonning V, Nerland S, Jørgensen KN, Haukvik UK, Alloza C, Arango C, Barth C, Bearden CE, Berk M, Bohman H, Dandash O, Díaz-Caneja CM, Edbom CT, van Erp TGM, Fett AJ, Frangou S, Goldstein BI, Grigorian A, Jahanshad N, James AC, Janssen J, Johannessen C, Karlsgodt KH, Kempton MJ, Kochunov P, Krabbendam L, Kyriakopoulos M, Lundberg M, MacIntosh BJ, Rund BR, Smelror RE, Sultan A, Tamnes CK, Thomopoulos SI, Vajdi A, Wedervang-Resell K, Myhre AM, Andreassen OA, Thompson PM, Agartz I.
PMID: 33017498
Hum Brain Mapp. 2022 Jan;43(1):373-384. doi: 10.1002/hbm.25212. Epub 2020 Oct 05.

Early-onset psychosis disorders are serious mental disorders arising before the age of 18 years. Here, we investigate the largest neuroimaging dataset, to date, of patients with early-onset psychosis and healthy controls for differences in intracranial and subcortical brain volumes....

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Gurholt TP, Lonning V, Nerland S, et al. Intracranial and subcortical volumes in adolescents with early-onset psychosis: A multisite mega-analysis from the ENIGMA consortium. Hum Brain Mapp. 2020;43(1):373-384doi: 10.1002/hbm.25212.
Gurholt, T. P., Lonning, V., Nerland, S., Jørgensen, K. N., Haukvik, U. K., Alloza, C., Arango, C., Barth, C., Bearden, C. E., Berk, M., Bohman, H., Dandash, O., Díaz-Caneja, C. M., Edbom, C. T., van Erp, T. G. M., Fett, A. J., Frangou, S., Goldstein, B. I., Grigorian, A., Jahanshad, N., James, A. C., Janssen, J., Johannessen, C., Karlsgodt, K. H., Kempton, M. J., Kochunov, P., Krabbendam, L., Kyriakopoulos, M., Lundberg, M., MacIntosh, B. J., Rund, B. R., Smelror, R. E., Sultan, A., Tamnes, C. K., Thomopoulos, S. I., Vajdi, A., Wedervang-Resell, K., Myhre, A. M., Andreassen, O. A., Thompson, P. M., Agartz, I. (2022). Intracranial and subcortical volumes in adolescents with early-onset psychosis: A multisite mega-analysis from the ENIGMA consortium. Human brain mapping, 43(1), 373-384. https://doi.org/10.1002/hbm.25212
Gurholt, Tiril P, et al. "Intracranial and subcortical volumes in adolescents with early-onset psychosis: A multisite mega-analysis from the ENIGMA consortium." Human brain mapping vol. 43,1 (2022): 373-384. doi: https://doi.org/10.1002/hbm.25212
Gurholt TP, Lonning V, Nerland S, Jørgensen KN, Haukvik UK, Alloza C, Arango C, Barth C, Bearden CE, Berk M, Bohman H, Dandash O, Díaz-Caneja CM, Edbom CT, van Erp TGM, Fett AJ, Frangou S, Goldstein BI, Grigorian A, Jahanshad N, James AC, Janssen J, Johannessen C, Karlsgodt KH, Kempton MJ, Kochunov P, Krabbendam L, Kyriakopoulos M, Lundberg M, MacIntosh BJ, Rund BR, Smelror RE, Sultan A, Tamnes CK, Thomopoulos SI, Vajdi A, Wedervang-Resell K, Myhre AM, Andreassen OA, Thompson PM, Agartz I. Intracranial and subcortical volumes in adolescents with early-onset psychosis: A multisite mega-analysis from the ENIGMA consortium. Hum Brain Mapp. 2022 Jan;43(1):373-384. doi: 10.1002/hbm.25212. Epub 2020 Oct 05. PMID: 33017498; PMCID: PMC8675418.
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ENIGMA-DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross-diagnostic psychiatric research.

Human brain mapping

Kochunov P, Hong LE, Dennis EL, Morey RA, Tate DF, Wilde EA, Logue M, Kelly S, Donohoe G, Favre P, Houenou J, Ching CRK, Holleran L, Andreassen OA, van Velzen LS, Schmaal L, Villalón-Reina JE, Bearden CE, Piras F, Spalletta G, van den Heuvel OA, Veltman DJ, Stein DJ, Ryan MC, Tan Y, van Erp TGM, Turner JA, Haddad L, Nir TM, Glahn DC, Thompson PM, Jahanshad N.
PMID: 32301246
Hum Brain Mapp. 2022 Jan;43(1):194-206. doi: 10.1002/hbm.24998. Epub 2020 Apr 16.

The ENIGMA-DTI (diffusion tensor imaging) workgroup supports analyses that examine the effects of psychiatric, neurological, and developmental disorders on the white matter pathways of the human brain, as well as the effects of normal variation and its genetic associations....

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Kochunov P, Hong LE, Dennis EL, et al. ENIGMA-DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross-diagnostic psychiatric research. Hum Brain Mapp. 2020;43(1):194-206doi: 10.1002/hbm.24998.
Kochunov, P., Hong, L. E., Dennis, E. L., Morey, R. A., Tate, D. F., Wilde, E. A., Logue, M., Kelly, S., Donohoe, G., Favre, P., Houenou, J., Ching, C. R. K., Holleran, L., Andreassen, O. A., van Velzen, L. S., Schmaal, L., Villalón-Reina, J. E., Bearden, C. E., Piras, F., Spalletta, G., van den Heuvel, O. A., Veltman, D. J., Stein, D. J., Ryan, M. C., Tan, Y., van Erp, T. G. M., Turner, J. A., Haddad, L., Nir, T. M., Glahn, D. C., Thompson, P. M., & Jahanshad, N. (2022). ENIGMA-DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross-diagnostic psychiatric research. Human brain mapping, 43(1), 194-206. https://doi.org/10.1002/hbm.24998
Kochunov, Peter, et al. "ENIGMA-DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross-diagnostic psychiatric research." Human brain mapping vol. 43,1 (2022): 194-206. doi: https://doi.org/10.1002/hbm.24998
Kochunov P, Hong LE, Dennis EL, Morey RA, Tate DF, Wilde EA, Logue M, Kelly S, Donohoe G, Favre P, Houenou J, Ching CRK, Holleran L, Andreassen OA, van Velzen LS, Schmaal L, Villalón-Reina JE, Bearden CE, Piras F, Spalletta G, van den Heuvel OA, Veltman DJ, Stein DJ, Ryan MC, Tan Y, van Erp TGM, Turner JA, Haddad L, Nir TM, Glahn DC, Thompson PM, Jahanshad N. ENIGMA-DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross-diagnostic psychiatric research. Hum Brain Mapp. 2022 Jan;43(1):194-206. doi: 10.1002/hbm.24998. Epub 2020 Apr 16. PMID: 32301246; PMCID: PMC8675425.
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N-methyl-D-aspartate Receptor Antibody and White Matter Deficits in Schizophrenia Treatment-Resistance.

Schizophrenia bulletin

Tong J, Zhou Y, Huang J, Zhang P, Fan F, Chen S, Tian B, Cui Y, Tian L, Tan S, Wang Z, Feng W, Yang F, Hare S, Goldwaser EL, Bruce HA, Kvarta M, Chen S, Kochunov P, Tan Y, Hong LE.
PMID: 33515249
Schizophr Bull. 2021 Aug 21;47(5):1463-1472. doi: 10.1093/schbul/sbab003.

Insufficient or lack of response to antipsychotic medications in some patients with schizophrenia is a major challenge in psychiatry, but the underlying mechanisms remain unclear. Two seemingly unrelated observations, cerebral white matter and N-methyl-D-aspartate receptor (NMDAR) hypofunction, have been...

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Tong J, Zhou Y, Huang J, et al. N-methyl-D-aspartate Receptor Antibody and White Matter Deficits in Schizophrenia Treatment-Resistance. Schizophr Bull. 2021;47(5):1463-1472doi: 10.1093/schbul/sbab003.
Tong, J., Zhou, Y., Huang, J., Zhang, P., Fan, F., Chen, S., Tian, B., Cui, Y., Tian, L., Tan, S., Wang, Z., Feng, W., Yang, F., Hare, S., Goldwaser, E. L., Bruce, H. A., Kvarta, M., Chen, S., Kochunov, P., Tan, Y., & Hong, L. E. (2021). N-methyl-D-aspartate Receptor Antibody and White Matter Deficits in Schizophrenia Treatment-Resistance. Schizophrenia bulletin, 47(5), 1463-1472. https://doi.org/10.1093/schbul/sbab003
Tong, Jinghui, et al. "N-methyl-D-aspartate Receptor Antibody and White Matter Deficits in Schizophrenia Treatment-Resistance." Schizophrenia bulletin vol. 47,5 (2021): 1463-1472. doi: https://doi.org/10.1093/schbul/sbab003
Tong J, Zhou Y, Huang J, Zhang P, Fan F, Chen S, Tian B, Cui Y, Tian L, Tan S, Wang Z, Feng W, Yang F, Hare S, Goldwaser EL, Bruce HA, Kvarta M, Chen S, Kochunov P, Tan Y, Hong LE. N-methyl-D-aspartate Receptor Antibody and White Matter Deficits in Schizophrenia Treatment-Resistance. Schizophr Bull. 2021 Aug 21;47(5):1463-1472. doi: 10.1093/schbul/sbab003. PMID: 33515249; PMCID: PMC8379535.
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