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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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Behavioral and neural correlates of delay of gratification 40 years later: Proc. Natl. Acad. Sci. U.S.A. 2011, Vol 108 No. 36:14998-5003.

Annals of neurosciences

Casey BJ, Somerville LH, Gotlib IH, Ayduk O, Franklin NT, Askrend MK, Jonides J, Berman MG, Wilson NL, Teslovich T, Glover G, Zayas V, Mischel W, Shoda Y.
PMID: 25205959
Ann Neurosci. 2012 Jan;19(1):27-8. doi: 10.5214/ans.0972.7531.180407.

No abstract available.

Cite
Casey BJ, Somerville LH, Gotlib IH, et al. Behavioral and neural correlates of delay of gratification 40 years later: Proc. Natl. Acad. Sci. U.S.A. 2011, Vol 108 No. 36:14998-5003. Ann Neurosci. 2012;19(1):27-8doi: 10.5214/ans.0972.7531.180407.
Casey, B. J., Somerville, L. H., Gotlib, I. H., Ayduk, O., Franklin, N. T., Askrend, M. K., Jonides, J., Berman, M. G., Wilson, N. L., Teslovich, T., Glover, G., Zayas, V., Mischel, W., & Shoda, Y. (2012). Behavioral and neural correlates of delay of gratification 40 years later: Proc. Natl. Acad. Sci. U.S.A. 2011, Vol 108 No. 36:14998-5003. Annals of neurosciences, 19(1), 27-8. https://doi.org/10.5214/ans.0972.7531.180407
Casey, B J, et al. "Behavioral and neural correlates of delay of gratification 40 years later: Proc. Natl. Acad. Sci. U.S.A. 2011, Vol 108 No. 36:14998-5003." Annals of neurosciences vol. 19,1 (2012): 27-8. doi: https://doi.org/10.5214/ans.0972.7531.180407
Casey BJ, Somerville LH, Gotlib IH, Ayduk O, Franklin NT, Askrend MK, Jonides J, Berman MG, Wilson NL, Teslovich T, Glover G, Zayas V, Mischel W, Shoda Y. Behavioral and neural correlates of delay of gratification 40 years later: Proc. Natl. Acad. Sci. U.S.A. 2011, Vol 108 No. 36:14998-5003. Ann Neurosci. 2012 Jan;19(1):27-8. doi: 10.5214/ans.0972.7531.180407. PMID: 25205959; PMCID: PMC4117069.
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Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework.

Medical image analysis

Bhattacharya I, Seetharaman A, Kunder C, Shao W, Chen LC, Soerensen SJC, Wang JB, Teslovich NC, Fan RE, Ghanouni P, Brooks JD, Sonn GA, Rusu M.
PMID: 34784540
Med Image Anal. 2021 Nov 06;75:102288. doi: 10.1016/j.media.2021.102288. Epub 2021 Nov 06.

Automated methods for detecting prostate cancer and distinguishing indolent from aggressive disease on Magnetic Resonance Imaging (MRI) could assist in early diagnosis and treatment planning. Existing automated methods of prostate cancer detection mostly rely on ground truth labels with...

Cite
Bhattacharya I, Seetharaman A, Kunder C, et al. Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework. Med Image Anal. 2021;75:102288doi: 10.1016/j.media.2021.102288.
Bhattacharya, I., Seetharaman, A., Kunder, C., Shao, W., Chen, L. C., Soerensen, S. J. C., Wang, J. B., Teslovich, N. C., Fan, R. E., Ghanouni, P., Brooks, J. D., Sonn, G. A., & Rusu, M. (2021). Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework. Medical image analysis, 75102288. https://doi.org/10.1016/j.media.2021.102288
Bhattacharya, Indrani, et al. "Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework." Medical image analysis vol. 75 (2021): 102288. doi: https://doi.org/10.1016/j.media.2021.102288
Bhattacharya I, Seetharaman A, Kunder C, Shao W, Chen LC, Soerensen SJC, Wang JB, Teslovich NC, Fan RE, Ghanouni P, Brooks JD, Sonn GA, Rusu M. Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework. Med Image Anal. 2021 Nov 06;75:102288. doi: 10.1016/j.media.2021.102288. Epub 2021 Nov 06. PMID: 34784540.
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Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework.

Medical image analysis

Bhattacharya I, Seetharaman A, Kunder C, Shao W, Chen LC, Soerensen SJC, Wang JB, Teslovich NC, Fan RE, Ghanouni P, Brooks JD, Sonn GA, Rusu M.
PMID: 34784540
Med Image Anal. 2022 Jan;75:102288. doi: 10.1016/j.media.2021.102288. Epub 2021 Nov 06.

Automated methods for detecting prostate cancer and distinguishing indolent from aggressive disease on Magnetic Resonance Imaging (MRI) could assist in early diagnosis and treatment planning. Existing automated methods of prostate cancer detection mostly rely on ground truth labels with...

Cite
Bhattacharya I, Seetharaman A, Kunder C, et al. Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework. Med Image Anal. 2021;75:102288doi: 10.1016/j.media.2021.102288.
Bhattacharya, I., Seetharaman, A., Kunder, C., Shao, W., Chen, L. C., Soerensen, S. J. C., Wang, J. B., Teslovich, N. C., Fan, R. E., Ghanouni, P., Brooks, J. D., Sonn, G. A., & Rusu, M. (2022). Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework. Medical image analysis, 75102288. https://doi.org/10.1016/j.media.2021.102288
Bhattacharya, Indrani, et al. "Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework." Medical image analysis vol. 75 (2022): 102288. doi: https://doi.org/10.1016/j.media.2021.102288
Bhattacharya I, Seetharaman A, Kunder C, Shao W, Chen LC, Soerensen SJC, Wang JB, Teslovich NC, Fan RE, Ghanouni P, Brooks JD, Sonn GA, Rusu M. Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework. Med Image Anal. 2022 Jan;75:102288. doi: 10.1016/j.media.2021.102288. Epub 2021 Nov 06. PMID: 34784540; PMCID: PMC8678366.
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An Exploratory Study of Exercise-related Effects on Memory and Hippocampal Connectivity in Schizophrenia.

Clinical schizophrenia & related psychoses

Schwartz B, Teslovich T, You X, Cho J, Schooler N, Kokkinos P, Vaidya C.
PMID: 29944414
Clin Schizophr Relat Psychoses. 2018 Jun 26; doi: 10.3371/CSRP.SCWO.061518. Epub 2018 Jun 26.

Memory impairment in schizophrenia has been linked to abnormal functioning of fronto-temporal networks. In this pilot study, we investigated whether 12-weeks of exercise improved hippocampal-dependent memory functions and resting-state functional connectivity in middle-aged adults with schizophrenia. The exercise regimen...

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Schwartz B, Teslovich T, You X, et al. An Exploratory Study of Exercise-related Effects on Memory and Hippocampal Connectivity in Schizophrenia. Clin Schizophr Relat Psychoses. 2018;doi: 10.3371/CSRP.SCWO.061518.
Schwartz, B., Teslovich, T., You, X., Cho, J., Schooler, N., Kokkinos, P., & Vaidya, C. (2018). An Exploratory Study of Exercise-related Effects on Memory and Hippocampal Connectivity in Schizophrenia. Clinical schizophrenia & related psychoses, . https://doi.org/10.3371/CSRP.SCWO.061518
Schwartz, Barbara, et al. "An Exploratory Study of Exercise-related Effects on Memory and Hippocampal Connectivity in Schizophrenia." Clinical schizophrenia & related psychoses vol. (2018). doi: https://doi.org/10.3371/CSRP.SCWO.061518
Schwartz B, Teslovich T, You X, Cho J, Schooler N, Kokkinos P, Vaidya C. An Exploratory Study of Exercise-related Effects on Memory and Hippocampal Connectivity in Schizophrenia. Clin Schizophr Relat Psychoses. 2018 Jun 26; doi: 10.3371/CSRP.SCWO.061518. Epub 2018 Jun 26. PMID: 29944414.
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Omics-squared: human genomic, transcriptomic and phenotypic data for genetic analysis workshop 19.

BMC proceedings

Blangero J, Teslovich TM, Sim X, Almeida MA, Jun G, Dyer TD, Johnson M, Peralta JM, Manning A, Wood AR, Fuchsberger C, Kent JW, Aguilar DA, Below JE, Farook VS, Arya R, Fowler S, Blackwell TW, Puppala S, Kumar S, Glahn DC, Moses EK, Curran JE, Thameem F, Jenkinson CP, DeFronzo RA, Lehman DM, Hanis C, Abecasis G, Boehnke M, Göring H, Duggirala R, Almasy L.
PMID: 27980614
BMC Proc. 2016 Oct 18;10:71-77. doi: 10.1186/s12919-016-0008-y. eCollection 2016.

BACKGROUND: The Genetic Analysis Workshops (GAW) are a forum for development, testing, and comparison of statistical genetic methods and software. Each contribution to the workshop includes an application to a specified data set. Here we describe the data distributed...

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Blangero J, Teslovich TM, Sim X, et al. Omics-squared: human genomic, transcriptomic and phenotypic data for genetic analysis workshop 19. BMC Proc. 2016;10:71-77doi: 10.1186/s12919-016-0008-y.
Blangero, J., Teslovich, T. M., Sim, X., Almeida, M. A., Jun, G., Dyer, T. D., Johnson, M., Peralta, J. M., Manning, A., Wood, A. R., Fuchsberger, C., Kent, J. W., Aguilar, D. A., Below, J. E., Farook, V. S., Arya, R., Fowler, S., Blackwell, T. W., Puppala, S., Kumar, S., Glahn, D. C., Moses, E. K., Curran, J. E., Thameem, F., Jenkinson, C. P., DeFronzo, R. A., Lehman, D. M., Hanis, C., Abecasis, G., Boehnke, M., Göring, H., Duggirala, R., Almasy, L. (2016). Omics-squared: human genomic, transcriptomic and phenotypic data for genetic analysis workshop 19. BMC proceedings, 1071-77. https://doi.org/10.1186/s12919-016-0008-y
Blangero, John, et al. "Omics-squared: human genomic, transcriptomic and phenotypic data for genetic analysis workshop 19." BMC proceedings vol. 10 (2016): 71-77. doi: https://doi.org/10.1186/s12919-016-0008-y
Blangero J, Teslovich TM, Sim X, Almeida MA, Jun G, Dyer TD, Johnson M, Peralta JM, Manning A, Wood AR, Fuchsberger C, Kent JW, Aguilar DA, Below JE, Farook VS, Arya R, Fowler S, Blackwell TW, Puppala S, Kumar S, Glahn DC, Moses EK, Curran JE, Thameem F, Jenkinson CP, DeFronzo RA, Lehman DM, Hanis C, Abecasis G, Boehnke M, Göring H, Duggirala R, Almasy L. Omics-squared: human genomic, transcriptomic and phenotypic data for genetic analysis workshop 19. BMC Proc. 2016 Oct 18;10:71-77. doi: 10.1186/s12919-016-0008-y. eCollection 2016. PMID: 27980614; PMCID: PMC5133484.
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Independent test assessment using the extreme value distribution theory.

BMC proceedings

Almeida M, Blondell L, Peralta JM, Kent JW, Jun G, Teslovich TM, Fuchsberger C, Wood AR, Manning AK, Frayling TM, Cingolani PE, Sladek R, Dyer TD, Abecasis G, Duggirala R, Blangero J.
PMID: 27980644
BMC Proc. 2016 Oct 18;10:245-249. doi: 10.1186/s12919-016-0038-5. eCollection 2016.

The new generation of whole genome sequencing platforms offers great possibilities and challenges for dissecting the genetic basis of complex traits. With a very high number of sequence variants, a naïve multiple hypothesis threshold correction hinders the identification of...

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Almeida M, Blondell L, Peralta JM, et al. Independent test assessment using the extreme value distribution theory. BMC Proc. 2016;10:245-249doi: 10.1186/s12919-016-0038-5.
Almeida, M., Blondell, L., Peralta, J. M., Kent, J. W., Jun, G., Teslovich, T. M., Fuchsberger, C., Wood, A. R., Manning, A. K., Frayling, T. M., Cingolani, P. E., Sladek, R., Dyer, T. D., Abecasis, G., Duggirala, R., & Blangero, J. (2016). Independent test assessment using the extreme value distribution theory. BMC proceedings, 10245-249. https://doi.org/10.1186/s12919-016-0038-5
Almeida, Marcio, et al. "Independent test assessment using the extreme value distribution theory." BMC proceedings vol. 10 (2016): 245-249. doi: https://doi.org/10.1186/s12919-016-0038-5
Almeida M, Blondell L, Peralta JM, Kent JW, Jun G, Teslovich TM, Fuchsberger C, Wood AR, Manning AK, Frayling TM, Cingolani PE, Sladek R, Dyer TD, Abecasis G, Duggirala R, Blangero J. Independent test assessment using the extreme value distribution theory. BMC Proc. 2016 Oct 18;10:245-249. doi: 10.1186/s12919-016-0038-5. eCollection 2016. PMID: 27980644; PMCID: PMC5133519.
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LocusZoom: regional visualization of genome-wide association scan results.

Bioinformatics (Oxford, England)

Pruim RJ, Welch RP, Sanna S, Teslovich TM, Chines PS, Gliedt TP, Boehnke M, Abecasis GR, Willer CJ.
PMID: 20634204
Bioinformatics. 2010 Sep 15;26(18):2336-7. doi: 10.1093/bioinformatics/btq419. Epub 2010 Jul 15.

UNLABELLED: Genome-wide association studies (GWAS) have revealed hundreds of loci associated with common human genetic diseases and traits. We have developed a web-based plotting tool that provides fast visual display of GWAS results in a publication-ready format. LocusZoom visually...

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Pruim RJ, Welch RP, Sanna S, et al. LocusZoom: regional visualization of genome-wide association scan results. Bioinformatics. 2010;26(18):2336-7doi: 10.1093/bioinformatics/btq419.
Pruim, R. J., Welch, R. P., Sanna, S., Teslovich, T. M., Chines, P. S., Gliedt, T. P., Boehnke, M., Abecasis, G. R., & Willer, C. J. (2010). LocusZoom: regional visualization of genome-wide association scan results. Bioinformatics (Oxford, England), 26(18), 2336-7. https://doi.org/10.1093/bioinformatics/btq419
Pruim, Randall J, et al. "LocusZoom: regional visualization of genome-wide association scan results." Bioinformatics (Oxford, England) vol. 26,18 (2010): 2336-7. doi: https://doi.org/10.1093/bioinformatics/btq419
Pruim RJ, Welch RP, Sanna S, Teslovich TM, Chines PS, Gliedt TP, Boehnke M, Abecasis GR, Willer CJ. LocusZoom: regional visualization of genome-wide association scan results. Bioinformatics. 2010 Sep 15;26(18):2336-7. doi: 10.1093/bioinformatics/btq419. Epub 2010 Jul 15. PMID: 20634204; PMCID: PMC2935401.
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Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework.

Medical image analysis

Bhattacharya I, Seetharaman A, Kunder C, Shao W, Chen LC, Soerensen SJC, Wang JB, Teslovich NC, Fan RE, Ghanouni P, Brooks JD, Sonn GA, Rusu M.
PMID: 34784540
Med Image Anal. 2022 Jan;75:102288. doi: 10.1016/j.media.2021.102288. Epub 2021 Nov 06.

Automated methods for detecting prostate cancer and distinguishing indolent from aggressive disease on Magnetic Resonance Imaging (MRI) could assist in early diagnosis and treatment planning. Existing automated methods of prostate cancer detection mostly rely on ground truth labels with...

Cite
Bhattacharya I, Seetharaman A, Kunder C, et al. Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework. Med Image Anal. 2021;75:102288doi: 10.1016/j.media.2021.102288.
Bhattacharya, I., Seetharaman, A., Kunder, C., Shao, W., Chen, L. C., Soerensen, S. J. C., Wang, J. B., Teslovich, N. C., Fan, R. E., Ghanouni, P., Brooks, J. D., Sonn, G. A., & Rusu, M. (2022). Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework. Medical image analysis, 75102288. https://doi.org/10.1016/j.media.2021.102288
Bhattacharya, Indrani, et al. "Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework." Medical image analysis vol. 75 (2022): 102288. doi: https://doi.org/10.1016/j.media.2021.102288
Bhattacharya I, Seetharaman A, Kunder C, Shao W, Chen LC, Soerensen SJC, Wang JB, Teslovich NC, Fan RE, Ghanouni P, Brooks JD, Sonn GA, Rusu M. Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework. Med Image Anal. 2022 Jan;75:102288. doi: 10.1016/j.media.2021.102288. Epub 2021 Nov 06. PMID: 34784540.
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Bladder cancer risk stratification using a urinary mRNA biomarker panel - A path towards cystoscopy triaging.

Urologic oncology

Shkolyar E, Zhao Q, Mach KE, Teslovich NC, Lee TJ, Cox S, Skinner EC, Lu Y, Liao JC.
PMID: 33766467
Urol Oncol. 2021 Aug;39(8):497.e9-497.e15. doi: 10.1016/j.urolonc.2021.02.011. Epub 2021 Mar 22.

OBJECTIVES: The risk of bladder cancer (BCa) diagnosis and recurrence necessitates cystoscopy. Improved risk stratification may inform personalized triage and surveillance strategies. We aim to develop a urinary mRNA biomarker panel for risk stratification in patients undergoing BCa screening...

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Shkolyar E, Zhao Q, Mach KE, et al. Bladder cancer risk stratification using a urinary mRNA biomarker panel - A path towards cystoscopy triaging. Urol Oncol. 2021;39(8):497.e9-497.e15doi: 10.1016/j.urolonc.2021.02.011.
Shkolyar, E., Zhao, Q., Mach, K. E., Teslovich, N. C., Lee, T. J., Cox, S., Skinner, E. C., Lu, Y., & Liao, J. C. (2021). Bladder cancer risk stratification using a urinary mRNA biomarker panel - A path towards cystoscopy triaging. Urologic oncology, 39(8), 497.e9-497.e15. https://doi.org/10.1016/j.urolonc.2021.02.011
Shkolyar, Eugene, et al. "Bladder cancer risk stratification using a urinary mRNA biomarker panel - A path towards cystoscopy triaging." Urologic oncology vol. 39,8 (2021): 497.e9-497.e15. doi: https://doi.org/10.1016/j.urolonc.2021.02.011
Shkolyar E, Zhao Q, Mach KE, Teslovich NC, Lee TJ, Cox S, Skinner EC, Lu Y, Liao JC. Bladder cancer risk stratification using a urinary mRNA biomarker panel - A path towards cystoscopy triaging. Urol Oncol. 2021 Aug;39(8):497.e9-497.e15. doi: 10.1016/j.urolonc.2021.02.011. Epub 2021 Mar 22. PMID: 33766467.
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Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls.

Scientific data

Flannick J, Fuchsberger C, Mahajan A, Teslovich TM, Agarwala V, Gaulton KJ, Caulkins L, Koesterer R, Ma C, Moutsianas L, McCarthy DJ, Rivas MA, Perry JRB, Sim X, Blackwell TW, Robertson NR, Rayner NW, Cingolani P, Locke AE, Tajes JF, Highland HM, Dupuis J, Chines PS, Lindgren CM, Hartl C, Jackson AU, Chen H, Huyghe JR, van de Bunt M, Pearson RD, Kumar A, Müller-Nurasyid M, Grarup N, Stringham HM, Gamazon ER, Lee J, Chen Y, Scott RA, Below JE, Chen P, Huang J, Go MJ, Stitzel ML, Pasko D, Parker SCJ, Varga TV, Green T, Beer NL, Day-Williams AG, Ferreira T, Fingerlin T, Horikoshi M, Hu C, Huh I, Ikram MK, Kim BJ, Kim Y, Kim YJ, Kwon MS, Lee J, Lee S, Lin KH, Maxwell TJ, Nagai Y, Wang X, Welch RP, Yoon J, Zhang W, Barzilai N, Voight BF, Han BG, Jenkinson CP, Kuulasmaa T, Kuusisto J, Manning A, Ng MCY, Palmer ND, Balkau B, Stančáková A, Abboud HE, Boeing H, Giedraitis V, Prabhakaran D, Gottesman O, Scott J, Carey J, Kwan P, Grant G, Smith JD, Neale BM, Purcell S, Butterworth AS, Howson JMM, Lee HM, Lu Y, Kwak SH, Zhao W, Danesh J, Lam VKL, Park KS, Saleheen D, So WY, Tam CHT, Afzal U, Aguilar D, Arya R, Aung T, Chan E, Navarro C, Cheng CY, Palli D, Correa A, Curran JE, Rybin D, Farook VS, Fowler SP, Freedman BI, Griswold M, Hale DE, Hicks PJ, Khor CC, Kumar S, Lehne B, Thuillier D, Lim WY, Liu J, Loh M, Musani SK, Puppala S, Scott WR, Yengo L, Tan ST, Taylor HA, Thameem F, Wilson G, Wong TY, Njølstad PR, Levy JC, Mangino M, Bonnycastle LL, Schwarzmayr T, Fadista J, Surdulescu GL, Herder C, Groves CJ, Wieland T, Bork-Jensen J, Brandslund I, Christensen C, Koistinen HA, Doney ASF, Kinnunen L, Esko T, Farmer AJ, Hakaste L, Hodgkiss D, Kravic J, Lyssenko V, Hollensted M, Jørgensen ME, Jørgensen T, Ladenvall C, Justesen JM, Käräjämäki A, Kriebel J, Rathmann W, Lannfelt L, Lauritzen T, Narisu N, Linneberg A, Melander O, Milani L, Neville M, Orho-Melander M, Qi L, Qi Q, Roden M, Rolandsson O, Swift A, Rosengren AH, Stirrups K, Wood AR, Mihailov E, Blancher C, Carneiro MO, Maguire J, Poplin R, Shakir K, Fennell T, DePristo M, de Angelis MH, Deloukas P, Gjesing AP, Jun G, Nilsson P, Murphy J, Onofrio R, Thorand B, Hansen T, Meisinger C, Hu FB, Isomaa B, Karpe F, Liang L, Peters A, Huth C, O'Rahilly SP, Palmer CNA, Pedersen O, Rauramaa R, Tuomilehto J, Salomaa V, Watanabe RM, Syvänen AC, Bergman RN, Bharadwaj D, Bottinger EP, Cho YS, Chandak GR, Chan JCN, Chia KS, Daly MJ, Ebrahim SB, Langenberg C, Elliott P, Jablonski KA, Lehman DM, Jia W, Ma RCW, Pollin TI, Sandhu M, Tandon N, Froguel P, Barroso I, Teo YY, Zeggini E, Loos RJF, Small KS, Ried JS, DeFronzo RA, Grallert H, Glaser B, Metspalu A, Wareham NJ, Walker M, Banks E, Gieger C, Ingelsson E, Im HK, Illig T, Franks PW, Buck G, Trakalo J, Buck D, Prokopenko I, Mägi R, Lind L, Farjoun Y, Owen KR, Gloyn AL, Strauch K, Tuomi T, Kooner JS, Lee JY, Park T, Donnelly P, Morris AD, Hattersley AT, Bowden DW, Collins FS, Atzmon G, Chambers JC, Spector TD, Laakso M, Strom TM, Bell GI, Blangero J, Duggirala R, Tai ES, McVean G, Hanis CL, Wilson JG, Seielstad M, Frayling TM, Meigs JB, Cox NJ, Sladek R, Lander ES, Gabriel S, Mohlke KL, Meitinger T, Groop L, Abecasis G, Scott LJ, Morris AP, Kang HM, Altshuler D, Burtt NP, Florez JC, Boehnke M, McCarthy MI.
PMID: 29360107
Sci Data. 2018 Jan 23;5:180002. doi: 10.1038/sdata.2018.2.

This corrects the article DOI: 10.1038/sdata.2017.179.

Cite
Flannick J, Fuchsberger C, Mahajan A, et al. Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci Data. 2018;5:180002doi: 10.1038/sdata.2018.2.
Flannick, J., Fuchsberger, C., Mahajan, A., Teslovich, T. M., Agarwala, V., Gaulton, K. J., Caulkins, L., Koesterer, R., Ma, C., Moutsianas, L., McCarthy, D. J., Rivas, M. A., Perry, J. R. B., Sim, X., Blackwell, T. W., Robertson, N. R., Rayner, N. W., Cingolani, P., Locke, A. E., Tajes, J. F., Highland, H. M., Dupuis, J., Chines, P. S., Lindgren, C. M., Hartl, C., Jackson, A. U., Chen, H., Huyghe, J. R., van de Bunt, M., Pearson, R. D., Kumar, A., Müller-Nurasyid, M., Grarup, N., Stringham, H. M., Gamazon, E. R., Lee, J., Chen, Y., Scott, R. A., Below, J. E., Chen, P., Huang, J., Go, M. J., Stitzel, M. L., Pasko, D., Parker, S. C. J., Varga, T. V., Green, T., Beer, N. L., Day-Williams, A. G., Ferreira, T., Fingerlin, T., Horikoshi, M., Hu, C., Huh, I., Ikram, M. K., Kim, B. J., Kim, Y., Kim, Y. J., Kwon, M. S., Lee, J., Lee, S., Lin, K. H., Maxwell, T. J., Nagai, Y., Wang, X., Welch, R. P., Yoon, J., Zhang, W., Barzilai, N., Voight, B. F., Han, B. G., Jenkinson, C. P., Kuulasmaa, T., Kuusisto, J., Manning, A., Ng, M. C. Y., Palmer, N. D., Balkau, B., Stančáková, A., Abboud, H. E., Boeing, H., Giedraitis, V., Prabhakaran, D., Gottesman, O., Scott, J., Carey, J., Kwan, P., Grant, G., Smith, J. D., Neale, B. M., Purcell, S., Butterworth, A. S., Howson, J. M. M., Lee, H. M., Lu, Y., Kwak, S. H., Zhao, W., Danesh, J., Lam, V. K. L., Park, K. S., Saleheen, D., So, W. Y., Tam, C. H. T., Afzal, U., Aguilar, D., Arya, R., Aung, T., Chan, E., Navarro, C., Cheng, C. Y., Palli, D., Correa, A., Curran, J. E., Rybin, D., Farook, V. S., Fowler, S. P., Freedman, B. I., Griswold, M., Hale, D. E., Hicks, P. J., Khor, C. C., Kumar, S., Lehne, B., Thuillier, D., Lim, W. Y., Liu, J., Loh, M., Musani, S. K., Puppala, S., Scott, W. R., Yengo, L., Tan, S. T., Taylor, H. A., Thameem, F., Wilson, G., Wong, T. Y., Njølstad, P. R., Levy, J. C., Mangino, M., Bonnycastle, L. L., Schwarzmayr, T., Fadista, J., Surdulescu, G. L., Herder, C., Groves, C. J., Wieland, T., Bork-Jensen, J., Brandslund, I., Christensen, C., Koistinen, H. A., Doney, A. S. F., Kinnunen, L., Esko, T., Farmer, A. J., Hakaste, L., Hodgkiss, D., Kravic, J., Lyssenko, V., Hollensted, M., Jørgensen, M. E., Jørgensen, T., Ladenvall, C., Justesen, J. M., Käräjämäki, A., Kriebel, J., Rathmann, W., Lannfelt, L., Lauritzen, T., Narisu, N., Linneberg, A., Melander, O., Milani, L., Neville, M., Orho-Melander, M., Qi, L., Qi, Q., Roden, M., Rolandsson, O., Swift, A., Rosengren, A. H., Stirrups, K., Wood, A. R., Mihailov, E., Blancher, C., Carneiro, M. O., Maguire, J., Poplin, R., Shakir, K., Fennell, T., DePristo, M., de Angelis, M. H., Deloukas, P., Gjesing, A. P., Jun, G., Nilsson, P., Murphy, J., Onofrio, R., Thorand, B., Hansen, T., Meisinger, C., Hu, F. B., Isomaa, B., Karpe, F., Liang, L., Peters, A., Huth, C., O'Rahilly, S. P., Palmer, C. N. A., Pedersen, O., Rauramaa, R., Tuomilehto, J., Salomaa, V., Watanabe, R. M., Syvänen, A. C., Bergman, R. N., Bharadwaj, D., Bottinger, E. P., Cho, Y. S., Chandak, G. R., Chan, J. C. N., Chia, K. S., Daly, M. J., Ebrahim, S. B., Langenberg, C., Elliott, P., Jablonski, K. A., Lehman, D. M., Jia, W., Ma, R. C. W., Pollin, T. I., Sandhu, M., Tandon, N., Froguel, P., Barroso, I., Teo, Y. Y., Zeggini, E., Loos, R. J. F., Small, K. S., Ried, J. S., DeFronzo, R. A., Grallert, H., Glaser, B., Metspalu, A., Wareham, N. J., Walker, M., Banks, E., Gieger, C., Ingelsson, E., Im, H. K., Illig, T., Franks, P. W., Buck, G., Trakalo, J., Buck, D., Prokopenko, I., Mägi, R., Lind, L., Farjoun, Y., Owen, K. R., Gloyn, A. L., Strauch, K., Tuomi, T., Kooner, J. S., Lee, J. Y., Park, T., Donnelly, P., Morris, A. D., Hattersley, A. T., Bowden, D. W., Collins, F. S., Atzmon, G., Chambers, J. C., Spector, T. D., Laakso, M., Strom, T. M., Bell, G. I., Blangero, J., Duggirala, R., Tai, E. S., McVean, G., Hanis, C. L., Wilson, J. G., Seielstad, M., Frayling, T. M., Meigs, J. B., Cox, N. J., Sladek, R., Lander, E. S., Gabriel, S., Mohlke, K. L., Meitinger, T., Groop, L., Abecasis, G., Scott, L. J., Morris, A. P., Kang, H. M., Altshuler, D., Burtt, N. P., Florez, J. C., Boehnke, M., & McCarthy, M. I. (2018). Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Scientific data, 5180002. https://doi.org/10.1038/sdata.2018.2
Flannick, Jason, et al. "Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls." Scientific data vol. 5 (2018): 180002. doi: https://doi.org/10.1038/sdata.2018.2
Flannick J, Fuchsberger C, Mahajan A, Teslovich TM, Agarwala V, Gaulton KJ, Caulkins L, Koesterer R, Ma C, Moutsianas L, McCarthy DJ, Rivas MA, Perry JRB, Sim X, Blackwell TW, Robertson NR, Rayner NW, Cingolani P, Locke AE, Tajes JF, Highland HM, Dupuis J, Chines PS, Lindgren CM, Hartl C, Jackson AU, Chen H, Huyghe JR, van de Bunt M, Pearson RD, Kumar A, Müller-Nurasyid M, Grarup N, Stringham HM, Gamazon ER, Lee J, Chen Y, Scott RA, Below JE, Chen P, Huang J, Go MJ, Stitzel ML, Pasko D, Parker SCJ, Varga TV, Green T, Beer NL, Day-Williams AG, Ferreira T, Fingerlin T, Horikoshi M, Hu C, Huh I, Ikram MK, Kim BJ, Kim Y, Kim YJ, Kwon MS, Lee J, Lee S, Lin KH, Maxwell TJ, Nagai Y, Wang X, Welch RP, Yoon J, Zhang W, Barzilai N, Voight BF, Han BG, Jenkinson CP, Kuulasmaa T, Kuusisto J, Manning A, Ng MCY, Palmer ND, Balkau B, Stančáková A, Abboud HE, Boeing H, Giedraitis V, Prabhakaran D, Gottesman O, Scott J, Carey J, Kwan P, Grant G, Smith JD, Neale BM, Purcell S, Butterworth AS, Howson JMM, Lee HM, Lu Y, Kwak SH, Zhao W, Danesh J, Lam VKL, Park KS, Saleheen D, So WY, Tam CHT, Afzal U, Aguilar D, Arya R, Aung T, Chan E, Navarro C, Cheng CY, Palli D, Correa A, Curran JE, Rybin D, Farook VS, Fowler SP, Freedman BI, Griswold M, Hale DE, Hicks PJ, Khor CC, Kumar S, Lehne B, Thuillier D, Lim WY, Liu J, Loh M, Musani SK, Puppala S, Scott WR, Yengo L, Tan ST, Taylor HA, Thameem F, Wilson G, Wong TY, Njølstad PR, Levy JC, Mangino M, Bonnycastle LL, Schwarzmayr T, Fadista J, Surdulescu GL, Herder C, Groves CJ, Wieland T, Bork-Jensen J, Brandslund I, Christensen C, Koistinen HA, Doney ASF, Kinnunen L, Esko T, Farmer AJ, Hakaste L, Hodgkiss D, Kravic J, Lyssenko V, Hollensted M, Jørgensen ME, Jørgensen T, Ladenvall C, Justesen JM, Käräjämäki A, Kriebel J, Rathmann W, Lannfelt L, Lauritzen T, Narisu N, Linneberg A, Melander O, Milani L, Neville M, Orho-Melander M, Qi L, Qi Q, Roden M, Rolandsson O, Swift A, Rosengren AH, Stirrups K, Wood AR, Mihailov E, Blancher C, Carneiro MO, Maguire J, Poplin R, Shakir K, Fennell T, DePristo M, de Angelis MH, Deloukas P, Gjesing AP, Jun G, Nilsson P, Murphy J, Onofrio R, Thorand B, Hansen T, Meisinger C, Hu FB, Isomaa B, Karpe F, Liang L, Peters A, Huth C, O'Rahilly SP, Palmer CNA, Pedersen O, Rauramaa R, Tuomilehto J, Salomaa V, Watanabe RM, Syvänen AC, Bergman RN, Bharadwaj D, Bottinger EP, Cho YS, Chandak GR, Chan JCN, Chia KS, Daly MJ, Ebrahim SB, Langenberg C, Elliott P, Jablonski KA, Lehman DM, Jia W, Ma RCW, Pollin TI, Sandhu M, Tandon N, Froguel P, Barroso I, Teo YY, Zeggini E, Loos RJF, Small KS, Ried JS, DeFronzo RA, Grallert H, Glaser B, Metspalu A, Wareham NJ, Walker M, Banks E, Gieger C, Ingelsson E, Im HK, Illig T, Franks PW, Buck G, Trakalo J, Buck D, Prokopenko I, Mägi R, Lind L, Farjoun Y, Owen KR, Gloyn AL, Strauch K, Tuomi T, Kooner JS, Lee JY, Park T, Donnelly P, Morris AD, Hattersley AT, Bowden DW, Collins FS, Atzmon G, Chambers JC, Spector TD, Laakso M, Strom TM, Bell GI, Blangero J, Duggirala R, Tai ES, McVean G, Hanis CL, Wilson JG, Seielstad M, Frayling TM, Meigs JB, Cox NJ, Sladek R, Lander ES, Gabriel S, Mohlke KL, Meitinger T, Groop L, Abecasis G, Scott LJ, Morris AP, Kang HM, Altshuler D, Burtt NP, Florez JC, Boehnke M, McCarthy MI. Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Sci Data. 2018 Jan 23;5:180002. doi: 10.1038/sdata.2018.2. PMID: 29360107; PMCID: PMC5779067.
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Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework.

Medical image analysis

Bhattacharya I, Seetharaman A, Kunder C, Shao W, Chen LC, Soerensen SJC, Wang JB, Teslovich NC, Fan RE, Ghanouni P, Brooks JD, Sonn GA, Rusu M.
PMID: 34784540
Med Image Anal. 2022 Jan;75:102288. doi: 10.1016/j.media.2021.102288. Epub 2021 Nov 06.

Automated methods for detecting prostate cancer and distinguishing indolent from aggressive disease on Magnetic Resonance Imaging (MRI) could assist in early diagnosis and treatment planning. Existing automated methods of prostate cancer detection mostly rely on ground truth labels with...

Cite
Bhattacharya I, Seetharaman A, Kunder C, et al. Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework. Med Image Anal. 2021;75:102288doi: 10.1016/j.media.2021.102288.
Bhattacharya, I., Seetharaman, A., Kunder, C., Shao, W., Chen, L. C., Soerensen, S. J. C., Wang, J. B., Teslovich, N. C., Fan, R. E., Ghanouni, P., Brooks, J. D., Sonn, G. A., & Rusu, M. (2022). Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework. Medical image analysis, 75102288. https://doi.org/10.1016/j.media.2021.102288
Bhattacharya, Indrani, et al. "Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework." Medical image analysis vol. 75 (2022): 102288. doi: https://doi.org/10.1016/j.media.2021.102288
Bhattacharya I, Seetharaman A, Kunder C, Shao W, Chen LC, Soerensen SJC, Wang JB, Teslovich NC, Fan RE, Ghanouni P, Brooks JD, Sonn GA, Rusu M. Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework. Med Image Anal. 2022 Jan;75:102288. doi: 10.1016/j.media.2021.102288. Epub 2021 Nov 06. PMID: 34784540; PMCID: PMC8678366.
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