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Meta-analysis of Genome-Wide Association Studies for Extraversion: Findings from the Genetics of Personality Consortium.

Behavior genetics

van den Berg SM, de Moor MH, Verweij KJ, Krueger RF, Luciano M, Arias Vasquez A, Matteson LK, Derringer J, Esko T, Amin N, Gordon SD, Hansell NK, Hart AB, Seppälä I, Huffman JE, Konte B, Lahti J, Lee M, Miller M, Nutile T, Tanaka T, Teumer A, Viktorin A, Wedenoja J, Abdellaoui A, Abecasis GR, Adkins DE, Agrawal A, Allik J, Appel K, Bigdeli TB, Busonero F, Campbell H, Costa PT, Smith GD, Davies G, de Wit H, Ding J, Engelhardt BE, Eriksson JG, Fedko IO, Ferrucci L, Franke B, Giegling I, Grucza R, Hartmann AM, Heath AC, Heinonen K, Henders AK, Homuth G, Hottenga JJ, Iacono WG, Janzing J, Jokela M, Karlsson R, Kemp JP, Kirkpatrick MG, Latvala A, Lehtimäki T, Liewald DC, Madden PA, Magri C, Magnusson PK, Marten J, Maschio A, Mbarek H, Medland SE, Mihailov E, Milaneschi Y, Montgomery GW, Nauck M, Nivard MG, Ouwens KG, Palotie A, Pettersson E, Polasek O, Qian Y, Pulkki-Råback L, Raitakari OT, Realo A, Rose RJ, Ruggiero D, Schmidt CO, Slutske WS, Sorice R, Starr JM, St Pourcain B, Sutin AR, Timpson NJ, Trochet H, Vermeulen S, Vuoksimaa E, Widen E, Wouda J, Wright MJ, Zgaga L, Porteous D, Minelli A, Palmer AA, Rujescu D, Ciullo M, Hayward C, Rudan I, Metspalu A, Kaprio J, Deary IJ, Räikkönen K, Wilson JF, Keltikangas-Järvinen L, Bierut LJ, Hettema JM, Grabe HJ, Penninx BW, van Duijn CM, Evans DM, Schlessinger D, Pedersen NL, Terracciano A, McGue M, Martin NG, Boomsma DI.
PMID: 26362575
Behav Genet. 2016 Mar;46(2):170-82. doi: 10.1007/s10519-015-9735-5. Epub 2015 Sep 11.

Extraversion is a relatively stable and heritable personality trait associated with numerous psychosocial, lifestyle and health outcomes. Despite its substantial heritability, no genetic variants have been detected in previous genome-wide association (GWA) studies, which may be due to relatively...

Cite
van den Berg SM, de Moor MH, Verweij KJ, et al. Meta-analysis of Genome-Wide Association Studies for Extraversion: Findings from the Genetics of Personality Consortium. Behav Genet. 2015;46(2):170-82doi: 10.1007/s10519-015-9735-5.
van den Berg, S. M., de Moor, M. H., Verweij, K. J., Krueger, R. F., Luciano, M., Arias Vasquez, A., Matteson, L. K., Derringer, J., Esko, T., Amin, N., Gordon, S. D., Hansell, N. K., Hart, A. B., Seppälä, I., Huffman, J. E., Konte, B., Lahti, J., Lee, M., Miller, M., Nutile, T., Tanaka, T., Teumer, A., Viktorin, A., Wedenoja, J., Abdellaoui, A., Abecasis, G. R., Adkins, D. E., Agrawal, A., Allik, J., Appel, K., Bigdeli, T. B., Busonero, F., Campbell, H., Costa, P. T., Smith, G. D., Davies, G., de Wit, H., Ding, J., Engelhardt, B. E., Eriksson, J. G., Fedko, I. O., Ferrucci, L., Franke, B., Giegling, I., Grucza, R., Hartmann, A. M., Heath, A. C., Heinonen, K., Henders, A. K., Homuth, G., Hottenga, J. J., Iacono, W. G., Janzing, J., Jokela, M., Karlsson, R., Kemp, J. P., Kirkpatrick, M. G., Latvala, A., Lehtimäki, T., Liewald, D. C., Madden, P. A., Magri, C., Magnusson, P. K., Marten, J., Maschio, A., Mbarek, H., Medland, S. E., Mihailov, E., Milaneschi, Y., Montgomery, G. W., Nauck, M., Nivard, M. G., Ouwens, K. G., Palotie, A., Pettersson, E., Polasek, O., Qian, Y., Pulkki-Råback, L., Raitakari, O. T., Realo, A., Rose, R. J., Ruggiero, D., Schmidt, C. O., Slutske, W. S., Sorice, R., Starr, J. M., St Pourcain, B., Sutin, A. R., Timpson, N. J., Trochet, H., Vermeulen, S., Vuoksimaa, E., Widen, E., Wouda, J., Wright, M. J., Zgaga, L., Porteous, D., Minelli, A., Palmer, A. A., Rujescu, D., Ciullo, M., Hayward, C., Rudan, I., Metspalu, A., Kaprio, J., Deary, I. J., Räikkönen, K., Wilson, J. F., Keltikangas-Järvinen, L., Bierut, L. J., Hettema, J. M., Grabe, H. J., Penninx, B. W., van Duijn, C. M., Evans, D. M., Schlessinger, D., Pedersen, N. L., Terracciano, A., McGue, M., Martin, N. G., & Boomsma, D. I. (2016). Meta-analysis of Genome-Wide Association Studies for Extraversion: Findings from the Genetics of Personality Consortium. Behavior genetics, 46(2), 170-82. https://doi.org/10.1007/s10519-015-9735-5
van den Berg, Stéphanie M, et al. "Meta-analysis of Genome-Wide Association Studies for Extraversion: Findings from the Genetics of Personality Consortium." Behavior genetics vol. 46,2 (2016): 170-82. doi: https://doi.org/10.1007/s10519-015-9735-5
van den Berg SM, de Moor MH, Verweij KJ, Krueger RF, Luciano M, Arias Vasquez A, Matteson LK, Derringer J, Esko T, Amin N, Gordon SD, Hansell NK, Hart AB, Seppälä I, Huffman JE, Konte B, Lahti J, Lee M, Miller M, Nutile T, Tanaka T, Teumer A, Viktorin A, Wedenoja J, Abdellaoui A, Abecasis GR, Adkins DE, Agrawal A, Allik J, Appel K, Bigdeli TB, Busonero F, Campbell H, Costa PT, Smith GD, Davies G, de Wit H, Ding J, Engelhardt BE, Eriksson JG, Fedko IO, Ferrucci L, Franke B, Giegling I, Grucza R, Hartmann AM, Heath AC, Heinonen K, Henders AK, Homuth G, Hottenga JJ, Iacono WG, Janzing J, Jokela M, Karlsson R, Kemp JP, Kirkpatrick MG, Latvala A, Lehtimäki T, Liewald DC, Madden PA, Magri C, Magnusson PK, Marten J, Maschio A, Mbarek H, Medland SE, Mihailov E, Milaneschi Y, Montgomery GW, Nauck M, Nivard MG, Ouwens KG, Palotie A, Pettersson E, Polasek O, Qian Y, Pulkki-Råback L, Raitakari OT, Realo A, Rose RJ, Ruggiero D, Schmidt CO, Slutske WS, Sorice R, Starr JM, St Pourcain B, Sutin AR, Timpson NJ, Trochet H, Vermeulen S, Vuoksimaa E, Widen E, Wouda J, Wright MJ, Zgaga L, Porteous D, Minelli A, Palmer AA, Rujescu D, Ciullo M, Hayward C, Rudan I, Metspalu A, Kaprio J, Deary IJ, Räikkönen K, Wilson JF, Keltikangas-Järvinen L, Bierut LJ, Hettema JM, Grabe HJ, Penninx BW, van Duijn CM, Evans DM, Schlessinger D, Pedersen NL, Terracciano A, McGue M, Martin NG, Boomsma DI. Meta-analysis of Genome-Wide Association Studies for Extraversion: Findings from the Genetics of Personality Consortium. Behav Genet. 2016 Mar;46(2):170-82. doi: 10.1007/s10519-015-9735-5. Epub 2015 Sep 11. PMID: 26362575; PMCID: PMC4751159.
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GWAS of 126,559 individuals identifies genetic variants associated with educational attainment.

Science (New York, N.Y.)

Rietveld CA, Medland SE, Derringer J, Yang J, Esko T, Martin NW, Westra HJ, Shakhbazov K, Abdellaoui A, Agrawal A, Albrecht E, Alizadeh BZ, Amin N, Barnard J, Baumeister SE, Benke KS, Bielak LF, Boatman JA, Boyle PA, Davies G, de Leeuw C, Eklund N, Evans DS, Ferhmann R, Fischer K, Gieger C, Gjessing HK, Hägg S, Harris JR, Hayward C, Holzapfel C, Ibrahim-Verbaas CA, Ingelsson E, Jacobsson B, Joshi PK, Jugessur A, Kaakinen M, Kanoni S, Karjalainen J, Kolcic I, Kristiansson K, Kutalik Z, Lahti J, Lee SH, Lin P, Lind PA, Liu Y, Lohman K, Loitfelder M, McMahon G, Vidal PM, Meirelles O, Milani L, Myhre R, Nuotio ML, Oldmeadow CJ, Petrovic KE, Peyrot WJ, Polasek O, Quaye L, Reinmaa E, Rice JP, Rizzi TS, Schmidt H, Schmidt R, Smith AV, Smith JA, Tanaka T, Terracciano A, van der Loos MJ, Vitart V, Völzke H, Wellmann J, Yu L, Zhao W, Allik J, Attia JR, Bandinelli S, Bastardot F, Beauchamp J, Bennett DA, Berger K, Bierut LJ, Boomsma DI, Bültmann U, Campbell H, Chabris CF, Cherkas L, Chung MK, Cucca F, de Andrade M, De Jager PL, De Neve JE, Deary IJ, Dedoussis GV, Deloukas P, Dimitriou M, Eiríksdóttir G, Elderson MF, Eriksson JG, Evans DM, Faul JD, Ferrucci L, Garcia ME, Grönberg H, Guðnason V, Hall P, Harris JM, Harris TB, Hastie ND, Heath AC, Hernandez DG, Hoffmann W, Hofman A, Holle R, Holliday EG, Hottenga JJ, Iacono WG, Illig T, Järvelin MR, Kähönen M, Kaprio J, Kirkpatrick RM, Kowgier M, Latvala A, Launer LJ, Lawlor DA, Lehtimäki T, Li J, Lichtenstein P, Lichtner P, Liewald DC, Madden PA, Magnusson PK, Mäkinen TE, Masala M, McGue M, Metspalu A, Mielck A, Miller MB, Montgomery GW, Mukherjee S, Nyholt DR, Oostra BA, Palmer LJ, Palotie A, Penninx BW, Perola M, Peyser PA, Preisig M, Räikkönen K, Raitakari OT, Realo A, Ring SM, Ripatti S, Rivadeneira F, Rudan I, Rustichini A, Salomaa V, Sarin AP, Schlessinger D, Scott RJ, Snieder H, St Pourcain B, Starr JM, Sul JH, Surakka I, Svento R, Teumer A, Tiemeier H, van Rooij FJ, Van Wagoner DR, Vartiainen E, Viikari J, Vollenweider P, Vonk JM, Waeber G, Weir DR, Wichmann HE, Widen E, Willemsen G, Wilson JF, Wright AF, Conley D, Davey-Smith G, Franke L, Groenen PJ, Hofman A, Johannesson M, Kardia SL, Krueger RF, Laibson D, Martin NG, Meyer MN, Posthuma D, Thurik AR, Timpson NJ, Uitterlinden AG, van Duijn CM, Visscher PM, Benjamin DJ, Cesarini D, Koellinger PD.
PMID: 23722424
Science. 2013 Jun 21;340(6139):1467-71. doi: 10.1126/science.1235488. Epub 2013 May 30.

A genome-wide association study (GWAS) of educational attainment was conducted in a discovery sample of 101,069 individuals and a replication sample of 25,490. Three independent single-nucleotide polymorphisms (SNPs) are genome-wide significant (rs9320913, rs11584700, rs4851266), and all three replicate. Estimated...

Cite
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71doi: 10.1126/science.1235488.
Rietveld, C. A., Medland, S. E., Derringer, J., Yang, J., Esko, T., Martin, N. W., Westra, H. J., Shakhbazov, K., Abdellaoui, A., Agrawal, A., Albrecht, E., Alizadeh, B. Z., Amin, N., Barnard, J., Baumeister, S. E., Benke, K. S., Bielak, L. F., Boatman, J. A., Boyle, P. A., Davies, G., de Leeuw, C., Eklund, N., Evans, D. S., Ferhmann, R., Fischer, K., Gieger, C., Gjessing, H. K., Hägg, S., Harris, J. R., Hayward, C., Holzapfel, C., Ibrahim-Verbaas, C. A., Ingelsson, E., Jacobsson, B., Joshi, P. K., Jugessur, A., Kaakinen, M., Kanoni, S., Karjalainen, J., Kolcic, I., Kristiansson, K., Kutalik, Z., Lahti, J., Lee, S. H., Lin, P., Lind, P. A., Liu, Y., Lohman, K., Loitfelder, M., McMahon, G., Vidal, P. M., Meirelles, O., Milani, L., Myhre, R., Nuotio, M. L., Oldmeadow, C. J., Petrovic, K. E., Peyrot, W. J., Polasek, O., Quaye, L., Reinmaa, E., Rice, J. P., Rizzi, T. S., Schmidt, H., Schmidt, R., Smith, A. V., Smith, J. A., Tanaka, T., Terracciano, A., van der Loos, M. J., Vitart, V., Völzke, H., Wellmann, J., Yu, L., Zhao, W., Allik, J., Attia, J. R., Bandinelli, S., Bastardot, F., Beauchamp, J., Bennett, D. A., Berger, K., Bierut, L. J., Boomsma, D. I., Bültmann, U., Campbell, H., Chabris, C. F., Cherkas, L., Chung, M. K., Cucca, F., de Andrade, M., De Jager, P. L., De Neve, J. E., Deary, I. J., Dedoussis, G. V., Deloukas, P., Dimitriou, M., Eiríksdóttir, G., Elderson, M. F., Eriksson, J. G., Evans, D. M., Faul, J. D., Ferrucci, L., Garcia, M. E., Grönberg, H., Guðnason, V., Hall, P., Harris, J. M., Harris, T. B., Hastie, N. D., Heath, A. C., Hernandez, D. G., Hoffmann, W., Hofman, A., Holle, R., Holliday, E. G., Hottenga, J. J., Iacono, W. G., Illig, T., Järvelin, M. R., Kähönen, M., Kaprio, J., Kirkpatrick, R. M., Kowgier, M., Latvala, A., Launer, L. J., Lawlor, D. A., Lehtimäki, T., Li, J., Lichtenstein, P., Lichtner, P., Liewald, D. C., Madden, P. A., Magnusson, P. K., Mäkinen, T. E., Masala, M., McGue, M., Metspalu, A., Mielck, A., Miller, M. B., Montgomery, G. W., Mukherjee, S., Nyholt, D. R., Oostra, B. A., Palmer, L. J., Palotie, A., Penninx, B. W., Perola, M., Peyser, P. A., Preisig, M., Räikkönen, K., Raitakari, O. T., Realo, A., Ring, S. M., Ripatti, S., Rivadeneira, F., Rudan, I., Rustichini, A., Salomaa, V., Sarin, A. P., Schlessinger, D., Scott, R. J., Snieder, H., St Pourcain, B., Starr, J. M., Sul, J. H., Surakka, I., Svento, R., Teumer, A., Tiemeier, H., van Rooij, F. J., Van Wagoner, D. R., Vartiainen, E., Viikari, J., Vollenweider, P., Vonk, J. M., Waeber, G., Weir, D. R., Wichmann, H. E., Widen, E., Willemsen, G., Wilson, J. F., Wright, A. F., Conley, D., Davey-Smith, G., Franke, L., Groenen, P. J., Hofman, A., Johannesson, M., Kardia, S. L., Krueger, R. F., Laibson, D., Martin, N. G., Meyer, M. N., Posthuma, D., Thurik, A. R., Timpson, N. J., Uitterlinden, A. G., van Duijn, C. M., Visscher, P. M., Benjamin, D. J., Cesarini, D., & Koellinger, P. D. (2013). GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science (New York, N.Y.), 340(6139), 1467-71. https://doi.org/10.1126/science.1235488
Rietveld, Cornelius A, et al. "GWAS of 126,559 individuals identifies genetic variants associated with educational attainment." Science (New York, N.Y.) vol. 340,6139 (2013): 1467-71. doi: https://doi.org/10.1126/science.1235488
Rietveld CA, Medland SE, Derringer J, Yang J, Esko T, Martin NW, Westra HJ, Shakhbazov K, Abdellaoui A, Agrawal A, Albrecht E, Alizadeh BZ, Amin N, Barnard J, Baumeister SE, Benke KS, Bielak LF, Boatman JA, Boyle PA, Davies G, de Leeuw C, Eklund N, Evans DS, Ferhmann R, Fischer K, Gieger C, Gjessing HK, Hägg S, Harris JR, Hayward C, Holzapfel C, Ibrahim-Verbaas CA, Ingelsson E, Jacobsson B, Joshi PK, Jugessur A, Kaakinen M, Kanoni S, Karjalainen J, Kolcic I, Kristiansson K, Kutalik Z, Lahti J, Lee SH, Lin P, Lind PA, Liu Y, Lohman K, Loitfelder M, McMahon G, Vidal PM, Meirelles O, Milani L, Myhre R, Nuotio ML, Oldmeadow CJ, Petrovic KE, Peyrot WJ, Polasek O, Quaye L, Reinmaa E, Rice JP, Rizzi TS, Schmidt H, Schmidt R, Smith AV, Smith JA, Tanaka T, Terracciano A, van der Loos MJ, Vitart V, Völzke H, Wellmann J, Yu L, Zhao W, Allik J, Attia JR, Bandinelli S, Bastardot F, Beauchamp J, Bennett DA, Berger K, Bierut LJ, Boomsma DI, Bültmann U, Campbell H, Chabris CF, Cherkas L, Chung MK, Cucca F, de Andrade M, De Jager PL, De Neve JE, Deary IJ, Dedoussis GV, Deloukas P, Dimitriou M, Eiríksdóttir G, Elderson MF, Eriksson JG, Evans DM, Faul JD, Ferrucci L, Garcia ME, Grönberg H, Guðnason V, Hall P, Harris JM, Harris TB, Hastie ND, Heath AC, Hernandez DG, Hoffmann W, Hofman A, Holle R, Holliday EG, Hottenga JJ, Iacono WG, Illig T, Järvelin MR, Kähönen M, Kaprio J, Kirkpatrick RM, Kowgier M, Latvala A, Launer LJ, Lawlor DA, Lehtimäki T, Li J, Lichtenstein P, Lichtner P, Liewald DC, Madden PA, Magnusson PK, Mäkinen TE, Masala M, McGue M, Metspalu A, Mielck A, Miller MB, Montgomery GW, Mukherjee S, Nyholt DR, Oostra BA, Palmer LJ, Palotie A, Penninx BW, Perola M, Peyser PA, Preisig M, Räikkönen K, Raitakari OT, Realo A, Ring SM, Ripatti S, Rivadeneira F, Rudan I, Rustichini A, Salomaa V, Sarin AP, Schlessinger D, Scott RJ, Snieder H, St Pourcain B, Starr JM, Sul JH, Surakka I, Svento R, Teumer A, Tiemeier H, van Rooij FJ, Van Wagoner DR, Vartiainen E, Viikari J, Vollenweider P, Vonk JM, Waeber G, Weir DR, Wichmann HE, Widen E, Willemsen G, Wilson JF, Wright AF, Conley D, Davey-Smith G, Franke L, Groenen PJ, Hofman A, Johannesson M, Kardia SL, Krueger RF, Laibson D, Martin NG, Meyer MN, Posthuma D, Thurik AR, Timpson NJ, Uitterlinden AG, van Duijn CM, Visscher PM, Benjamin DJ, Cesarini D, Koellinger PD. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013 Jun 21;340(6139):1467-71. doi: 10.1126/science.1235488. Epub 2013 May 30. PMID: 23722424; PMCID: PMC3751588.
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A cascade of care for alcohol use disorder: Using 2015-2019 National Survey on Drug Use and Health data to identify gaps in past 12-month care.

Alcoholism, clinical and experimental research

Mintz CM, Hartz SM, Fisher SL, Ramsey AT, Geng EH, Grucza RA, Bierut LJ.
PMID: 33993541
Alcohol Clin Exp Res. 2021 Jun;45(6):1276-1286. doi: 10.1111/acer.14609. Epub 2021 May 16.

BACKGROUND: Although effective treatments exist, alcohol use disorder (AUD) is undertreated. We used a cascade of care framework to understand gaps in care for persons with AUD.METHODS: Using 2015-2019 National Survey on Drug Use and Health data, we evaluated...

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Mintz CM, Hartz SM, Fisher SL, et al. A cascade of care for alcohol use disorder: Using 2015-2019 National Survey on Drug Use and Health data to identify gaps in past 12-month care. Alcohol Clin Exp Res. 2021;45(6):1276-1286doi: 10.1111/acer.14609.
Mintz, C. M., Hartz, S. M., Fisher, S. L., Ramsey, A. T., Geng, E. H., Grucza, R. A., & Bierut, L. J. (2021). A cascade of care for alcohol use disorder: Using 2015-2019 National Survey on Drug Use and Health data to identify gaps in past 12-month care. Alcoholism, clinical and experimental research, 45(6), 1276-1286. https://doi.org/10.1111/acer.14609
Mintz, Carrie M, et al. "A cascade of care for alcohol use disorder: Using 2015-2019 National Survey on Drug Use and Health data to identify gaps in past 12-month care." Alcoholism, clinical and experimental research vol. 45,6 (2021): 1276-1286. doi: https://doi.org/10.1111/acer.14609
Mintz CM, Hartz SM, Fisher SL, Ramsey AT, Geng EH, Grucza RA, Bierut LJ. A cascade of care for alcohol use disorder: Using 2015-2019 National Survey on Drug Use and Health data to identify gaps in past 12-month care. Alcohol Clin Exp Res. 2021 Jun;45(6):1276-1286. doi: 10.1111/acer.14609. Epub 2021 May 16. PMID: 33993541; PMCID: PMC8254783.
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Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits.

HGG advances

Sun D, Richard M, Musani SK, Sung YJ, Winkler TW, Schwander K, Chai JF, Guo X, Kilpeläinen TO, Vojinovic D, Aschard H, Bartz TM, Bielak LF, Brown MR, Chitrala K, Hartwig FP, Horimoto ARVR, Liu Y, Manning AK, Noordam R, Smith AV, Harris SE, Kühnel B, Lyytikäinen LP, Nolte IM, Rauramaa R, van der Most PJ, Wang R, Ware EB, Weiss S, Wen W, Yanek LR, Arking DE, Arnett DK, Barac A, Boerwinkle E, Broeckel U, Chakravarti A, Chen YI, Cupples LA, Davigulus ML, de Las Fuentes L, de Mutsert R, de Vries PS, Delaney JAC, Roux AVD, Dörr M, Faul JD, Fretts AM, Gallo LC, Grabe HJ, Gu CC, Harris TB, Hartman CCA, Heikkinen S, Ikram MA, Isasi C, Johnson WC, Jonas JB, Kaplan RC, Komulainen P, Krieger JE, Levy D, Liu J, Lohman K, Luik AI, Martin LW, Meitinger T, Milaneschi Y, O'Connell JR, Palmas WR, Peters A, Peyser PA, Pulkki-Råback L, Raffel LJ, Reiner AP, Rice K, Robinson JG, Rosendaal FR, Schmidt CO, Schreiner PJ, Schwettmann L, Shikany JM, Shu XO, Sidney S, Sims M, Smith JA, Sotoodehnia N, Strauch K, Tai ES, Taylor K, Uitterlinden AG, van Duijn CM, Waldenberger M, Wee HL, Wei WB, Wilson G, Xuan D, Yao J, Zeng D, Zhao W, Zhu X, Zonderman AB, Becker DM, Deary IJ, Gieger C, Lakka TA, Lehtimäki T, North KE, Oldehinkel AJ, Penninx BWJH, Snieder H, Wang YX, Weir DR, Zheng W, Evans MK, Gauderman WJ, Gudnason V, Horta BL, Liu CT, Mook-Kanamori DO, Morrison AC, Pereira AC, Psaty BM, Amin N, Fox ER, Kooperberg C, Sim X, Bierut L, Rotter JI, Kardia SLR, Franceschini N, Rao DC, Fornage M.
PMID: 34734193
HGG Adv. 2021 Jan 14;2(1). doi: 10.1016/j.xhgg.2020.100013. Epub 2020 Oct 31.

Psychological and social factors are known to influence blood pressure (BP) and risk of hypertension and associated cardiovascular diseases. To identify novel BP loci, we carried out genome-wide association meta-analyses of systolic, diastolic, pulse, and mean arterial BP taking...

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Sun D, Richard M, Musani SK, et al. Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. HGG Adv. 2020;2(1)doi: 10.1016/j.xhgg.2020.100013.
Sun, D., Richard, M., Musani, S. K., Sung, Y. J., Winkler, T. W., Schwander, K., Chai, J. F., Guo, X., Kilpeläinen, T. O., Vojinovic, D., Aschard, H., Bartz, T. M., Bielak, L. F., Brown, M. R., Chitrala, K., Hartwig, F. P., Horimoto, A. R. V. R., Liu, Y., Manning, A. K., Noordam, R., Smith, A. V., Harris, S. E., Kühnel, B., Lyytikäinen, L. P., Nolte, I. M., Rauramaa, R., van der Most, P. J., Wang, R., Ware, E. B., Weiss, S., Wen, W., Yanek, L. R., Arking, D. E., Arnett, D. K., Barac, A., Boerwinkle, E., Broeckel, U., Chakravarti, A., Chen, Y. I., Cupples, L. A., Davigulus, M. L., de Las Fuentes, L., de Mutsert, R., de Vries, P. S., Delaney, J. A. C., Roux, A. V. D., Dörr, M., Faul, J. D., Fretts, A. M., Gallo, L. C., Grabe, H. J., Gu, C. C., Harris, T. B., Hartman, C. C. A., Heikkinen, S., Ikram, M. A., Isasi, C., Johnson, W. C., Jonas, J. B., Kaplan, R. C., Komulainen, P., Krieger, J. E., Levy, D., Liu, J., Lohman, K., Luik, A. I., Martin, L. W., Meitinger, T., Milaneschi, Y., O'Connell, J. R., Palmas, W. R., Peters, A., Peyser, P. A., Pulkki-Råback, L., Raffel, L. J., Reiner, A. P., Rice, K., Robinson, J. G., Rosendaal, F. R., Schmidt, C. O., Schreiner, P. J., Schwettmann, L., Shikany, J. M., Shu, X. O., Sidney, S., Sims, M., Smith, J. A., Sotoodehnia, N., Strauch, K., Tai, E. S., Taylor, K., Uitterlinden, A. G., van Duijn, C. M., Waldenberger, M., Wee, H. L., Wei, W. B., Wilson, G., Xuan, D., Yao, J., Zeng, D., Zhao, W., Zhu, X., Zonderman, A. B., Becker, D. M., Deary, I. J., Gieger, C., Lakka, T. A., Lehtimäki, T., North, K. E., Oldehinkel, A. J., Penninx, B. W. J. H., Snieder, H., Wang, Y. X., Weir, D. R., Zheng, W., Evans, M. K., Gauderman, W. J., Gudnason, V., Horta, B. L., Liu, C. T., Mook-Kanamori, D. O., Morrison, A. C., Pereira, A. C., Psaty, B. M., Amin, N., Fox, E. R., Kooperberg, C., Sim, X., Bierut, L., Rotter, J. I., Kardia, S. L. R., Franceschini, N., Rao, D. C., & Fornage, M. (2021). Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. HGG advances, 2(1), . https://doi.org/10.1016/j.xhgg.2020.100013
Sun, Daokun, et al. "Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits." HGG advances vol. 2,1 (2021). doi: https://doi.org/10.1016/j.xhgg.2020.100013
Sun D, Richard M, Musani SK, Sung YJ, Winkler TW, Schwander K, Chai JF, Guo X, Kilpeläinen TO, Vojinovic D, Aschard H, Bartz TM, Bielak LF, Brown MR, Chitrala K, Hartwig FP, Horimoto ARVR, Liu Y, Manning AK, Noordam R, Smith AV, Harris SE, Kühnel B, Lyytikäinen LP, Nolte IM, Rauramaa R, van der Most PJ, Wang R, Ware EB, Weiss S, Wen W, Yanek LR, Arking DE, Arnett DK, Barac A, Boerwinkle E, Broeckel U, Chakravarti A, Chen YI, Cupples LA, Davigulus ML, de Las Fuentes L, de Mutsert R, de Vries PS, Delaney JAC, Roux AVD, Dörr M, Faul JD, Fretts AM, Gallo LC, Grabe HJ, Gu CC, Harris TB, Hartman CCA, Heikkinen S, Ikram MA, Isasi C, Johnson WC, Jonas JB, Kaplan RC, Komulainen P, Krieger JE, Levy D, Liu J, Lohman K, Luik AI, Martin LW, Meitinger T, Milaneschi Y, O'Connell JR, Palmas WR, Peters A, Peyser PA, Pulkki-Råback L, Raffel LJ, Reiner AP, Rice K, Robinson JG, Rosendaal FR, Schmidt CO, Schreiner PJ, Schwettmann L, Shikany JM, Shu XO, Sidney S, Sims M, Smith JA, Sotoodehnia N, Strauch K, Tai ES, Taylor K, Uitterlinden AG, van Duijn CM, Waldenberger M, Wee HL, Wei WB, Wilson G, Xuan D, Yao J, Zeng D, Zhao W, Zhu X, Zonderman AB, Becker DM, Deary IJ, Gieger C, Lakka TA, Lehtimäki T, North KE, Oldehinkel AJ, Penninx BWJH, Snieder H, Wang YX, Weir DR, Zheng W, Evans MK, Gauderman WJ, Gudnason V, Horta BL, Liu CT, Mook-Kanamori DO, Morrison AC, Pereira AC, Psaty BM, Amin N, Fox ER, Kooperberg C, Sim X, Bierut L, Rotter JI, Kardia SLR, Franceschini N, Rao DC, Fornage M. Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. HGG Adv. 2021 Jan 14;2(1). doi: 10.1016/j.xhgg.2020.100013. Epub 2020 Oct 31. PMID: 34734193; PMCID: PMC8562625.
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Intended and Unintended Effects of State-Mandated High School Science and Mathematics Course Graduation Requirements on Educational Attainment.

Educational researcher (Washington, D.C. : 1972)

Plunk AD, Tate WF, Bierut LJ, Grucza RA.
PMID: 25541563
Educ Res. 2014 Jun;43(5):230-241. doi: 10.3102/0013189X14540207.

Mathematics and science course graduation requirement (CGR) increases in the 1980s and 1990s might have had both intended and unintended consequences. Using logistic regression with Census and American Community Survey (ACS) data (

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Plunk AD, Tate WF, Bierut LJ, et al. Intended and Unintended Effects of State-Mandated High School Science and Mathematics Course Graduation Requirements on Educational Attainment. Educ Res. 2014;43(5):230-241doi: 10.3102/0013189X14540207.
Plunk, A. D., Tate, W. F., Bierut, L. J., & Grucza, R. A. (2014). Intended and Unintended Effects of State-Mandated High School Science and Mathematics Course Graduation Requirements on Educational Attainment. Educational researcher (Washington, D.C. : 1972), 43(5), 230-241. https://doi.org/10.3102/0013189X14540207
Plunk, Andrew D, et al. "Intended and Unintended Effects of State-Mandated High School Science and Mathematics Course Graduation Requirements on Educational Attainment." Educational researcher (Washington, D.C. : 1972) vol. 43,5 (2014): 230-241. doi: https://doi.org/10.3102/0013189X14540207
Plunk AD, Tate WF, Bierut LJ, Grucza RA. Intended and Unintended Effects of State-Mandated High School Science and Mathematics Course Graduation Requirements on Educational Attainment. Educ Res. 2014 Jun;43(5):230-241. doi: 10.3102/0013189X14540207. PMID: 25541563; PMCID: PMC4275121.
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A Lethal Case of Fat Embolism Syndrome in a Nine-Year-Old Child: Options for Prevention.

European journal of trauma and emergency surgery : official publication of the European Trauma Society

Teeuwen PH, Sloots PC, de Blaauw I, Wijnen R, Biert J.
PMID: 26814910
Eur J Trauma Emerg Surg. 2009 Jun;35(3):311-3. doi: 10.1007/s00068-008-8141-6. Epub 2008 Nov 26.

We report a lethal case of fat embolism syndrome in a nine-year-old child after a direct blunt trauma leading to a pelvic fracture. On the second day, signs of bowel perforation and septic shock led to an acute aggravation...

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Teeuwen PH, Sloots PC, de Blaauw I, et al. A Lethal Case of Fat Embolism Syndrome in a Nine-Year-Old Child: Options for Prevention. Eur J Trauma Emerg Surg. 2008;35(3):311-3doi: 10.1007/s00068-008-8141-6.
Teeuwen, P. H., Sloots, P. C., de Blaauw, I., Wijnen, R., & Biert, J. (2009). A Lethal Case of Fat Embolism Syndrome in a Nine-Year-Old Child: Options for Prevention. European journal of trauma and emergency surgery : official publication of the European Trauma Society, 35(3), 311-3. https://doi.org/10.1007/s00068-008-8141-6
Teeuwen, Pascal H E, et al. "A Lethal Case of Fat Embolism Syndrome in a Nine-Year-Old Child: Options for Prevention." European journal of trauma and emergency surgery : official publication of the European Trauma Society vol. 35,3 (2009): 311-3. doi: https://doi.org/10.1007/s00068-008-8141-6
Teeuwen PH, Sloots PC, de Blaauw I, Wijnen R, Biert J. A Lethal Case of Fat Embolism Syndrome in a Nine-Year-Old Child: Options for Prevention. Eur J Trauma Emerg Surg. 2009 Jun;35(3):311-3. doi: 10.1007/s00068-008-8141-6. Epub 2008 Nov 26. PMID: 26814910.
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Age disparities in six-month treatment retention for opioid use disorder.

Drug and alcohol dependence

Mintz CM, Presnall NJ, Sahrmann JM, Borodovsky JT, Glaser PEA, Bierut LJ, Grucza RA.
PMID: 32593972
Drug Alcohol Depend. 2020 Jun 18;213:108130. doi: 10.1016/j.drugalcdep.2020.108130. Epub 2020 Jun 18.

BACKGROUND AND AIMS: Adolescents with opioid use disorder (OUD) are an understudied and vulnerable population. We examined the association between age and six-month treatment retention, and whether any such association was moderated by medication treatment.METHODS: In this retrospective cohort...

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Mintz CM, Presnall NJ, Sahrmann JM, et al. Age disparities in six-month treatment retention for opioid use disorder. Drug Alcohol Depend. 2020;213:108130doi: 10.1016/j.drugalcdep.2020.108130.
Mintz, C. M., Presnall, N. J., Sahrmann, J. M., Borodovsky, J. T., Glaser, P. E. A., Bierut, L. J., & Grucza, R. A. (2020). Age disparities in six-month treatment retention for opioid use disorder. Drug and alcohol dependence, 213108130. https://doi.org/10.1016/j.drugalcdep.2020.108130
Mintz, Carrie M, et al. "Age disparities in six-month treatment retention for opioid use disorder." Drug and alcohol dependence vol. 213 (2020): 108130. doi: https://doi.org/10.1016/j.drugalcdep.2020.108130
Mintz CM, Presnall NJ, Sahrmann JM, Borodovsky JT, Glaser PEA, Bierut LJ, Grucza RA. Age disparities in six-month treatment retention for opioid use disorder. Drug Alcohol Depend. 2020 Jun 18;213:108130. doi: 10.1016/j.drugalcdep.2020.108130. Epub 2020 Jun 18. PMID: 32593972; PMCID: PMC7903941.
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Point of care tobacco treatment sustains during COVID-19, a global pandemic.

Cancer epidemiology

Craig EJ, Ramsey AT, Baker TB, James AS, Luke DA, Malone S, Chen J, Pham G, Smock N, Goldberg P, Govindan R, Bierut LJ, Chen LS.
PMID: 34446379
Cancer Epidemiol. 2021 Aug 18;102005. doi: 10.1016/j.canep.2021.102005. Epub 2021 Aug 18.

BACKGROUND: Tobacco cessation treatment for cancer patients is essential to providing comprehensive oncologic care. We have implemented a point of care tobacco treatment care model enabled by electronic health record (EHR) modifications in a comprehensive cancer center. Data are...

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Craig EJ, Ramsey AT, Baker TB, et al. Point of care tobacco treatment sustains during COVID-19, a global pandemic. Cancer Epidemiol. 2021;102005doi: 10.1016/j.canep.2021.102005.
Craig, E. J., Ramsey, A. T., Baker, T. B., James, A. S., Luke, D. A., Malone, S., Chen, J., Pham, G., Smock, N., Goldberg, P., Govindan, R., Bierut, L. J., & Chen, L. S. (2021). Point of care tobacco treatment sustains during COVID-19, a global pandemic. Cancer epidemiology, 102005. https://doi.org/10.1016/j.canep.2021.102005
Craig, Ethan J, et al. "Point of care tobacco treatment sustains during COVID-19, a global pandemic." Cancer epidemiology vol. (2021): 102005. doi: https://doi.org/10.1016/j.canep.2021.102005
Craig EJ, Ramsey AT, Baker TB, James AS, Luke DA, Malone S, Chen J, Pham G, Smock N, Goldberg P, Govindan R, Bierut LJ, Chen LS. Point of care tobacco treatment sustains during COVID-19, a global pandemic. Cancer Epidemiol. 2021 Aug 18;102005. doi: 10.1016/j.canep.2021.102005. Epub 2021 Aug 18. PMID: 34446379.
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Integration of evidence across human and model organism studies: A meeting report.

Genes, brain, and behavior

Palmer RHC, Johnson EC, Won H, Polimanti R, Kapoor M, Chitre A, Bogue MA, Benca-Bachman CE, Parker CC, Verma A, Reynolds T, Ernst J, Bray M, Kwon SB, Lai D, Quach BC, Gaddis NC, Saba L, Chen H, Hawrylycz M, Zhang S, Zhou Y, Mahaffey S, Fischer C, Sanchez-Roige S, Bandrowski A, Lu Q, Shen L, Philip V, Gelernter J, Bierut LJ, Hancock DB, Edenberg HJ, Johnson EO, Nestler EJ, Barr PB, Prins P, Smith DJ, Akbarian S, Thorgeirsson T, Walton D, Baker E, Jacobson D, Palmer AA, Miles M, Chesler EJ, Emerson J, Agrawal A, Martone M, Williams RW.
PMID: 33893716
Genes Brain Behav. 2021 Apr 23;e12738. doi: 10.1111/gbb.12738. Epub 2021 Apr 23.

The National Institute on Drug Abuse and Joint Institute for Biological Sciences at the Oak Ridge National Laboratory hosted a meeting attended by a diverse group of scientists with expertise in substance use disorders (SUDs), computational biology, and FAIR...

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Palmer RHC, Johnson EC, Won H, et al. Integration of evidence across human and model organism studies: A meeting report. Genes Brain Behav. 2021;e12738doi: 10.1111/gbb.12738.
Palmer, R. H. C., Johnson, E. C., Won, H., Polimanti, R., Kapoor, M., Chitre, A., Bogue, M. A., Benca-Bachman, C. E., Parker, C. C., Verma, A., Reynolds, T., Ernst, J., Bray, M., Kwon, S. B., Lai, D., Quach, B. C., Gaddis, N. C., Saba, L., Chen, H., Hawrylycz, M., Zhang, S., Zhou, Y., Mahaffey, S., Fischer, C., Sanchez-Roige, S., Bandrowski, A., Lu, Q., Shen, L., Philip, V., Gelernter, J., Bierut, L. J., Hancock, D. B., Edenberg, H. J., Johnson, E. O., Nestler, E. J., Barr, P. B., Prins, P., Smith, D. J., Akbarian, S., Thorgeirsson, T., Walton, D., Baker, E., Jacobson, D., Palmer, A. A., Miles, M., Chesler, E. J., Emerson, J., Agrawal, A., Martone, M., & Williams, R. W. (2021). Integration of evidence across human and model organism studies: A meeting report. Genes, brain, and behavior, e12738. https://doi.org/10.1111/gbb.12738
Palmer, Rohan H C, et al. "Integration of evidence across human and model organism studies: A meeting report." Genes, brain, and behavior vol. (2021): e12738. doi: https://doi.org/10.1111/gbb.12738
Palmer RHC, Johnson EC, Won H, Polimanti R, Kapoor M, Chitre A, Bogue MA, Benca-Bachman CE, Parker CC, Verma A, Reynolds T, Ernst J, Bray M, Kwon SB, Lai D, Quach BC, Gaddis NC, Saba L, Chen H, Hawrylycz M, Zhang S, Zhou Y, Mahaffey S, Fischer C, Sanchez-Roige S, Bandrowski A, Lu Q, Shen L, Philip V, Gelernter J, Bierut LJ, Hancock DB, Edenberg HJ, Johnson EO, Nestler EJ, Barr PB, Prins P, Smith DJ, Akbarian S, Thorgeirsson T, Walton D, Baker E, Jacobson D, Palmer AA, Miles M, Chesler EJ, Emerson J, Agrawal A, Martone M, Williams RW. Integration of evidence across human and model organism studies: A meeting report. Genes Brain Behav. 2021 Apr 23;e12738. doi: 10.1111/gbb.12738. Epub 2021 Apr 23. PMID: 33893716; PMCID: PMC8365690.
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Genetic Counseling and Testing in African American Patients With Breast Cancer: A Nationwide Survey of US Breast Oncologists.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology

Ademuyiwa FO, Salyer P, Tao Y, Luo J, Hensing WL, Afolalu A, Peterson LL, Weilbaecher K, Housten AJ, Baumann AA, Desai M, Jones S, Linnenbringer E, Plichta J, Bierut L.
PMID: 34662201
J Clin Oncol. 2021 Dec 20;39(36):4020-4028. doi: 10.1200/JCO.21.01426. Epub 2021 Oct 18.

PURPOSE: To determine if physicians' self-reported knowledge, attitudes, and practices regarding genetic counseling and testing (GCT) vary by patients' race.METHODS: We conducted a nationwide 49-item survey among breast oncology physicians in the United States. We queried respondents about their...

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Ademuyiwa FO, Salyer P, Tao Y, et al. Genetic Counseling and Testing in African American Patients With Breast Cancer: A Nationwide Survey of US Breast Oncologists. J Clin Oncol. 2021;39(36):4020-4028doi: 10.1200/JCO.21.01426.
Ademuyiwa, F. O., Salyer, P., Tao, Y., Luo, J., Hensing, W. L., Afolalu, A., Peterson, L. L., Weilbaecher, K., Housten, A. J., Baumann, A. A., Desai, M., Jones, S., Linnenbringer, E., Plichta, J., & Bierut, L. (2021). Genetic Counseling and Testing in African American Patients With Breast Cancer: A Nationwide Survey of US Breast Oncologists. Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 39(36), 4020-4028. https://doi.org/10.1200/JCO.21.01426
Ademuyiwa, Foluso O, et al. "Genetic Counseling and Testing in African American Patients With Breast Cancer: A Nationwide Survey of US Breast Oncologists." Journal of clinical oncology : official journal of the American Society of Clinical Oncology vol. 39,36 (2021): 4020-4028. doi: https://doi.org/10.1200/JCO.21.01426
Ademuyiwa FO, Salyer P, Tao Y, Luo J, Hensing WL, Afolalu A, Peterson LL, Weilbaecher K, Housten AJ, Baumann AA, Desai M, Jones S, Linnenbringer E, Plichta J, Bierut L. Genetic Counseling and Testing in African American Patients With Breast Cancer: A Nationwide Survey of US Breast Oncologists. J Clin Oncol. 2021 Dec 20;39(36):4020-4028. doi: 10.1200/JCO.21.01426. Epub 2021 Oct 18. PMID: 34662201.
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Associations between Polygenic Risk for Psychiatric Disorders and Substance Involvement.

Frontiers in genetics

Carey CE, Agrawal A, Bucholz KK, Hartz SM, Lynskey MT, Nelson EC, Bierut LJ, Bogdan R.
PMID: 27574527
Front Genet. 2016 Aug 15;7:149. doi: 10.3389/fgene.2016.00149. eCollection 2016.

Despite evidence of substantial comorbidity between psychiatric disorders and substance involvement, the extent to which common genetic factors contribute to their co-occurrence remains understudied. In the current study, we tested for associations between polygenic risk for psychiatric disorders and...

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Carey CE, Agrawal A, Bucholz KK, et al. Associations between Polygenic Risk for Psychiatric Disorders and Substance Involvement. Front Genet. 2016;7:149doi: 10.3389/fgene.2016.00149.
Carey, C. E., Agrawal, A., Bucholz, K. K., Hartz, S. M., Lynskey, M. T., Nelson, E. C., Bierut, L. J., & Bogdan, R. (2016). Associations between Polygenic Risk for Psychiatric Disorders and Substance Involvement. Frontiers in genetics, 7149. https://doi.org/10.3389/fgene.2016.00149
Carey, Caitlin E, et al. "Associations between Polygenic Risk for Psychiatric Disorders and Substance Involvement." Frontiers in genetics vol. 7 (2016): 149. doi: https://doi.org/10.3389/fgene.2016.00149
Carey CE, Agrawal A, Bucholz KK, Hartz SM, Lynskey MT, Nelson EC, Bierut LJ, Bogdan R. Associations between Polygenic Risk for Psychiatric Disorders and Substance Involvement. Front Genet. 2016 Aug 15;7:149. doi: 10.3389/fgene.2016.00149. eCollection 2016. PMID: 27574527; PMCID: PMC4983546.
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Understanding barriers to treatment among individuals not engaged in treatment who misuse opioids: A structural equation modeling approach.

Substance abuse

Cavazos-Rehg P, Xu C, Krauss MJ, Min C, Winograd R, Grucza R, Bierut LJ.
PMID: 33617738
Subst Abus. 2021;42(4):842-850. doi: 10.1080/08897077.2021.1876199. Epub 2021 Feb 22.

No abstract available.

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Cavazos-Rehg P, Xu C, Krauss MJ, et al. Understanding barriers to treatment among individuals not engaged in treatment who misuse opioids: A structural equation modeling approach. Subst Abus. 2021;42(4):842-850doi: 10.1080/08897077.2021.1876199.
Cavazos-Rehg, P., Xu, C., Krauss, M. J., Min, C., Winograd, R., Grucza, R., & Bierut, L. J. (2021). Understanding barriers to treatment among individuals not engaged in treatment who misuse opioids: A structural equation modeling approach. Substance abuse, 42(4), 842-850. https://doi.org/10.1080/08897077.2021.1876199
Cavazos-Rehg, Patricia, et al. "Understanding barriers to treatment among individuals not engaged in treatment who misuse opioids: A structural equation modeling approach." Substance abuse vol. 42,4 (2021): 842-850. doi: https://doi.org/10.1080/08897077.2021.1876199
Cavazos-Rehg P, Xu C, Krauss MJ, Min C, Winograd R, Grucza R, Bierut LJ. Understanding barriers to treatment among individuals not engaged in treatment who misuse opioids: A structural equation modeling approach. Subst Abus. 2021;42(4):842-850. doi: 10.1080/08897077.2021.1876199. Epub 2021 Feb 22. PMID: 33617738.
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