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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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Schizophrenia liability shares common molecular genetic risk factors with sleep duration and nightmares in childhood.

Wellcome open research

Reed ZE, Jones HJ, Hemani G, Zammit S, Davis OSP.
PMID: 31544153
Wellcome Open Res. 2019 Aug 20;4:15. doi: 10.12688/wellcomeopenres.15060.2. eCollection 2019.

No abstract available.

Cite
Reed ZE, Jones HJ, Hemani G, et al. Schizophrenia liability shares common molecular genetic risk factors with sleep duration and nightmares in childhood. Wellcome Open Res. 2019;4:15doi: 10.12688/wellcomeopenres.15060.2.
Reed, Z. E., Jones, H. J., Hemani, G., Zammit, S., & Davis, O. S. P. (2019). Schizophrenia liability shares common molecular genetic risk factors with sleep duration and nightmares in childhood. Wellcome open research, 415. https://doi.org/10.12688/wellcomeopenres.15060.2
Reed, Zoe E, et al. "Schizophrenia liability shares common molecular genetic risk factors with sleep duration and nightmares in childhood." Wellcome open research vol. 4 (2019): 15. doi: https://doi.org/10.12688/wellcomeopenres.15060.2
Reed ZE, Jones HJ, Hemani G, Zammit S, Davis OSP. Schizophrenia liability shares common molecular genetic risk factors with sleep duration and nightmares in childhood. Wellcome Open Res. 2019 Aug 20;4:15. doi: 10.12688/wellcomeopenres.15060.2. eCollection 2019. PMID: 31544153; PMCID: PMC6753602.
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On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments.

Journal of the American Statistical Association

Windmeijer F, Farbmacher H, Davies N, Davey Smith G.
PMID: 31708716
J Am Stat Assoc. 2018 Nov 13;114(527):1339-1350. doi: 10.1080/01621459.2018.1498346. eCollection 2019.

We investigate the behavior of the Lasso for selecting invalid instruments in linear instrumental variables models for estimating causal effects of exposures on outcomes, as proposed recently by Kang et al. Invalid instruments are such that they fail the...

Cite
Windmeijer F, Farbmacher H, Davies N, et al. On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments. J Am Stat Assoc. 2018;114(527):1339-1350doi: 10.1080/01621459.2018.1498346.
Windmeijer, F., Farbmacher, H., Davies, N., & Davey Smith, G. (2019). On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments. Journal of the American Statistical Association, 114(527), 1339-1350. https://doi.org/10.1080/01621459.2018.1498346
Windmeijer, Frank, et al. "On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments." Journal of the American Statistical Association vol. 114,527 (2019): 1339-1350. doi: https://doi.org/10.1080/01621459.2018.1498346
Windmeijer F, Farbmacher H, Davies N, Davey Smith G. On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments. J Am Stat Assoc. 2018 Nov 13;114(527):1339-1350. doi: 10.1080/01621459.2018.1498346. eCollection 2019. PMID: 31708716; PMCID: PMC6817329.
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Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium.

Molecular psychiatry

van Erp TG, Hibar DP, Rasmussen JM, Glahn DC, Pearlson GD, Andreassen OA, Agartz I, Westlye LT, Haukvik UK, Dale AM, Melle I, Hartberg CB, Gruber O, Kraemer B, Zilles D, Donohoe G, Kelly S, McDonald C, Morris DW, Cannon DM, Corvin A, Machielsen MW, Koenders L, de Haan L, Veltman DJ, Satterthwaite TD, Wolf DH, Gur RC, Gur RE, Potkin SG, Mathalon DH, Mueller BA, Preda A, Macciardi F, Ehrlich S, Walton E, Hass J, Calhoun VD, Bockholt HJ, Sponheim SR, Shoemaker JM, van Haren NE, Pol HE, Ophoff RA, Kahn RS, Roiz-Santiañez R, Crespo-Facorro B, Wang L, Alpert KI, Jönsson EG, Dimitrova R, Bois C, Whalley HC, McIntosh AM, Lawrie SM, Hashimoto R, Thompson PM, Turner JA.
PMID: 26283641
Mol Psychiatry. 2016 Apr;21(4):585. doi: 10.1038/mp.2015.118. Epub 2015 Aug 18.

No abstract available.

Cite
van Erp TG, Hibar DP, Rasmussen JM, et al. Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Mol Psychiatry. 2015;21(4):585doi: 10.1038/mp.2015.118.
van Erp, T. G., Hibar, D. P., Rasmussen, J. M., Glahn, D. C., Pearlson, G. D., Andreassen, O. A., Agartz, I., Westlye, L. T., Haukvik, U. K., Dale, A. M., Melle, I., Hartberg, C. B., Gruber, O., Kraemer, B., Zilles, D., Donohoe, G., Kelly, S., McDonald, C., Morris, D. W., Cannon, D. M., Corvin, A., Machielsen, M. W., Koenders, L., de Haan, L., Veltman, D. J., Satterthwaite, T. D., Wolf, D. H., Gur, R. C., Gur, R. E., Potkin, S. G., Mathalon, D. H., Mueller, B. A., Preda, A., Macciardi, F., Ehrlich, S., Walton, E., Hass, J., Calhoun, V. D., Bockholt, H. J., Sponheim, S. R., Shoemaker, J. M., van Haren, N. E., Pol, H. E., Ophoff, R. A., Kahn, R. S., Roiz-Santiañez, R., Crespo-Facorro, B., Wang, L., Alpert, K. I., Jönsson, E. G., Dimitrova, R., Bois, C., Whalley, H. C., McIntosh, A. M., Lawrie, S. M., Hashimoto, R., Thompson, P. M., & Turner, J. A. (2016). Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Molecular psychiatry, 21(4), 585. https://doi.org/10.1038/mp.2015.118
van Erp, T G M, et al. "Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium." Molecular psychiatry vol. 21,4 (2016): 585. doi: https://doi.org/10.1038/mp.2015.118
van Erp TG, Hibar DP, Rasmussen JM, Glahn DC, Pearlson GD, Andreassen OA, Agartz I, Westlye LT, Haukvik UK, Dale AM, Melle I, Hartberg CB, Gruber O, Kraemer B, Zilles D, Donohoe G, Kelly S, McDonald C, Morris DW, Cannon DM, Corvin A, Machielsen MW, Koenders L, de Haan L, Veltman DJ, Satterthwaite TD, Wolf DH, Gur RC, Gur RE, Potkin SG, Mathalon DH, Mueller BA, Preda A, Macciardi F, Ehrlich S, Walton E, Hass J, Calhoun VD, Bockholt HJ, Sponheim SR, Shoemaker JM, van Haren NE, Pol HE, Ophoff RA, Kahn RS, Roiz-Santiañez R, Crespo-Facorro B, Wang L, Alpert KI, Jönsson EG, Dimitrova R, Bois C, Whalley HC, McIntosh AM, Lawrie SM, Hashimoto R, Thompson PM, Turner JA. Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Mol Psychiatry. 2016 Apr;21(4):585. doi: 10.1038/mp.2015.118. Epub 2015 Aug 18. PMID: 26283641; PMCID: PMC5751698.
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Population phenomena inflate genetic associations of complex social traits.

Science advances

Morris TT, Davies NM, Hemani G, Smith GD.
PMID: 32426451
Sci Adv. 2020 Apr 15;6(16):eaay0328. doi: 10.1126/sciadv.aay0328. eCollection 2020 Apr.

Heritability, genetic correlation, and genetic associations estimated from samples of unrelated individuals are often perceived as confirmation that genotype causes the phenotype(s). However, these estimates can arise from indirect mechanisms due to population phenomena including population stratification, dynastic effects,...

Cite
Morris TT, Davies NM, Hemani G, et al. Population phenomena inflate genetic associations of complex social traits. Sci Adv. 2020;6(16):eaay0328doi: 10.1126/sciadv.aay0328.
Morris, T. T., Davies, N. M., Hemani, G., & Smith, G. D. (2020). Population phenomena inflate genetic associations of complex social traits. Science advances, 6(16), eaay0328. https://doi.org/10.1126/sciadv.aay0328
Morris, Tim T, et al. "Population phenomena inflate genetic associations of complex social traits." Science advances vol. 6,16 (2020): eaay0328. doi: https://doi.org/10.1126/sciadv.aay0328
Morris TT, Davies NM, Hemani G, Smith GD. Population phenomena inflate genetic associations of complex social traits. Sci Adv. 2020 Apr 15;6(16):eaay0328. doi: 10.1126/sciadv.aay0328. eCollection 2020 Apr. PMID: 32426451; PMCID: PMC7159920.
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Estimating the influence of body mass index (BMI) on mortality using offspring BMI as an instrumental variable.

International journal of obesity (2005)

Hyppönen E, Carslake D, Berry DJ, Power C, Davey Smith G.
PMID: 34497352
Int J Obes (Lond). 2022 Jan;46(1):77-84. doi: 10.1038/s41366-021-00962-8. Epub 2021 Sep 08.

OBJECTIVE: High body mass index (BMI) is an important predictor of mortality but estimating underlying causality is hampered by confounding and pre-existing disease. Here, we use information from the offspring to approximate parental BMIs, with an aim to avoid...

Cite
Hyppönen E, Carslake D, Berry DJ, et al. Estimating the influence of body mass index (BMI) on mortality using offspring BMI as an instrumental variable. Int J Obes (Lond). 2021;46(1):77-84doi: 10.1038/s41366-021-00962-8.
Hyppönen, E., Carslake, D., Berry, D. J., Power, C., & Davey Smith, G. (2022). Estimating the influence of body mass index (BMI) on mortality using offspring BMI as an instrumental variable. International journal of obesity (2005), 46(1), 77-84. https://doi.org/10.1038/s41366-021-00962-8
Hyppönen, Elina, et al. "Estimating the influence of body mass index (BMI) on mortality using offspring BMI as an instrumental variable." International journal of obesity (2005) vol. 46,1 (2022): 77-84. doi: https://doi.org/10.1038/s41366-021-00962-8
Hyppönen E, Carslake D, Berry DJ, Power C, Davey Smith G. Estimating the influence of body mass index (BMI) on mortality using offspring BMI as an instrumental variable. Int J Obes (Lond). 2022 Jan;46(1):77-84. doi: 10.1038/s41366-021-00962-8. Epub 2021 Sep 08. PMID: 34497352; PMCID: PMC7612209.
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Confounding by ill health in the observed association between BMI and mortality: evidence from the HUNT Study using offspring BMI as an instrument.

International journal of epidemiology

Carslake D, Davey Smith G, Gunnell D, Davies N, Nilsen TIL, Romundstad P.
PMID: 29206928
Int J Epidemiol. 2018 Jun 01;47(3):760-770. doi: 10.1093/ije/dyx246.

BACKGROUND: The observational association between mortality and body mass index (BMI) is U-shaped, leading to highly publicized suggestions that moderate overweight is beneficial to health. However, it is unclear whether elevated mortality is caused by low BMI or if...

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Carslake D, Davey Smith G, Gunnell D, et al. Confounding by ill health in the observed association between BMI and mortality: evidence from the HUNT Study using offspring BMI as an instrument. Int J Epidemiol. 2018;47(3):760-770doi: 10.1093/ije/dyx246.
Carslake, D., Davey Smith, G., Gunnell, D., Davies, N., Nilsen, T. I. L., & Romundstad, P. (2018). Confounding by ill health in the observed association between BMI and mortality: evidence from the HUNT Study using offspring BMI as an instrument. International journal of epidemiology, 47(3), 760-770. https://doi.org/10.1093/ije/dyx246
Carslake, David, et al. "Confounding by ill health in the observed association between BMI and mortality: evidence from the HUNT Study using offspring BMI as an instrument." International journal of epidemiology vol. 47,3 (2018): 760-770. doi: https://doi.org/10.1093/ije/dyx246
Carslake D, Davey Smith G, Gunnell D, Davies N, Nilsen TIL, Romundstad P. Confounding by ill health in the observed association between BMI and mortality: evidence from the HUNT Study using offspring BMI as an instrument. Int J Epidemiol. 2018 Jun 01;47(3):760-770. doi: 10.1093/ije/dyx246. PMID: 29206928; PMCID: PMC6005033.
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Exploring genetic markers of adult obesity risk in black adolescent South Africans-the Birth to Twenty Cohort.

Nutrition & diabetes

Pillay V, Crowther NJ, Ramsay M, Smith GD, Norris SA, Lombard Z.
PMID: 26075635
Nutr Diabetes. 2015 Jun 15;5:e157. doi: 10.1038/nutd.2015.7.

To date more than 90 loci that show an association with body mass index (BMI) and other obesity-related traits, have been discovered through genome-wide association studies. These findings have been widely replicated, mostly in European and Asian populations, but...

Cite
Pillay V, Crowther NJ, Ramsay M, et al. Exploring genetic markers of adult obesity risk in black adolescent South Africans-the Birth to Twenty Cohort. Nutr Diabetes. 2015;5:e157doi: 10.1038/nutd.2015.7.
Pillay, V., Crowther, N. J., Ramsay, M., Smith, G. D., Norris, S. A., & Lombard, Z. (2015). Exploring genetic markers of adult obesity risk in black adolescent South Africans-the Birth to Twenty Cohort. Nutrition & diabetes, 5e157. https://doi.org/10.1038/nutd.2015.7
Pillay, V, et al. "Exploring genetic markers of adult obesity risk in black adolescent South Africans-the Birth to Twenty Cohort." Nutrition & diabetes vol. 5 (2015): e157. doi: https://doi.org/10.1038/nutd.2015.7
Pillay V, Crowther NJ, Ramsay M, Smith GD, Norris SA, Lombard Z. Exploring genetic markers of adult obesity risk in black adolescent South Africans-the Birth to Twenty Cohort. Nutr Diabetes. 2015 Jun 15;5:e157. doi: 10.1038/nutd.2015.7. PMID: 26075635; PMCID: PMC4491859.
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Estimating the influence of body mass index (BMI) on mortality using offspring BMI as an instrumental variable.

International journal of obesity (2005)

Hyppönen E, Carslake D, Berry DJ, Power C, Davey Smith G.
PMID: 34497352
Int J Obes (Lond). 2021 Sep 08; doi: 10.1038/s41366-021-00962-8. Epub 2021 Sep 08.

OBJECTIVE: High body mass index (BMI) is an important predictor of mortality but estimating underlying causality is hampered by confounding and pre-existing disease. Here, we use information from the offspring to approximate parental BMIs, with an aim to avoid...

Cite
Hyppönen E, Carslake D, Berry DJ, et al. Estimating the influence of body mass index (BMI) on mortality using offspring BMI as an instrumental variable. Int J Obes (Lond). 2021;doi: 10.1038/s41366-021-00962-8.
Hyppönen, E., Carslake, D., Berry, D. J., Power, C., & Davey Smith, G. (2021). Estimating the influence of body mass index (BMI) on mortality using offspring BMI as an instrumental variable. International journal of obesity (2005), . https://doi.org/10.1038/s41366-021-00962-8
Hyppönen, Elina, et al. "Estimating the influence of body mass index (BMI) on mortality using offspring BMI as an instrumental variable." International journal of obesity (2005) vol. (2021). doi: https://doi.org/10.1038/s41366-021-00962-8
Hyppönen E, Carslake D, Berry DJ, Power C, Davey Smith G. Estimating the influence of body mass index (BMI) on mortality using offspring BMI as an instrumental variable. Int J Obes (Lond). 2021 Sep 08; doi: 10.1038/s41366-021-00962-8. Epub 2021 Sep 08. PMID: 34497352.
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Testosterone and socioeconomic position: Mendelian randomization in 306,248 men and women in UK Biobank.

Science advances

Harrison S, Davies NM, Howe LD, Hughes A.
PMID: 34321204
Sci Adv. 2021 Jul 28;7(31). doi: 10.1126/sciadv.abf8257. Print 2021 Jul.

Men with more advantaged socioeconomic position (SEP) have been observed to have higher levels of testosterone. It is unclear whether these associations arise because testosterone has a causal impact on SEP. In 306,248 participants of UK Biobank, we performed...

Cite
Harrison S, Davies NM, Howe LD, et al. Testosterone and socioeconomic position: Mendelian randomization in 306,248 men and women in UK Biobank. Sci Adv. 2021;7(31)doi: 10.1126/sciadv.abf8257.
Harrison, S., Davies, N. M., Howe, L. D., & Hughes, A. (2021). Testosterone and socioeconomic position: Mendelian randomization in 306,248 men and women in UK Biobank. Science advances, 7(31), . https://doi.org/10.1126/sciadv.abf8257
Harrison, Sean, et al. "Testosterone and socioeconomic position: Mendelian randomization in 306,248 men and women in UK Biobank." Science advances vol. 7,31 (2021). doi: https://doi.org/10.1126/sciadv.abf8257
Harrison S, Davies NM, Howe LD, Hughes A. Testosterone and socioeconomic position: Mendelian randomization in 306,248 men and women in UK Biobank. Sci Adv. 2021 Jul 28;7(31). doi: 10.1126/sciadv.abf8257. Print 2021 Jul. PMID: 34321204; PMCID: PMC8318368.
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Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium.

Molecular psychiatry

van Erp TG, Hibar DP, Rasmussen JM, Glahn DC, Pearlson GD, Andreassen OA, Agartz I, Westlye LT, Haukvik UK, Dale AM, Melle I, Hartberg CB, Gruber O, Kraemer B, Zilles D, Donohoe G, Kelly S, McDonald C, Morris DW, Cannon DM, Corvin A, Machielsen MW, Koenders L, de Haan L, Veltman DJ, Satterthwaite TD, Wolf DH, Gur RC, Gur RE, Potkin SG, Mathalon DH, Mueller BA, Preda A, Macciardi F, Ehrlich S, Walton E, Hass J, Calhoun VD, Bockholt HJ, Sponheim SR, Shoemaker JM, van Haren NE, Pol HE, Ophoff RA, Kahn RS, Roiz-Santiañez R, Crespo-Facorro B, Wang L, Alpert KI, Jönsson EG, Dimitrova R, Bois C, Whalley HC, McIntosh AM, Lawrie SM, Hashimoto R, Thompson PM, Turner JA.
PMID: 26283641
Mol Psychiatry. 2016 Apr;21(4):585. doi: 10.1038/mp.2015.118. Epub 2015 Aug 18.

No abstract available.

Cite
van Erp TG, Hibar DP, Rasmussen JM, et al. Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Mol Psychiatry. 2015;21(4):585doi: 10.1038/mp.2015.118.
van Erp, T. G., Hibar, D. P., Rasmussen, J. M., Glahn, D. C., Pearlson, G. D., Andreassen, O. A., Agartz, I., Westlye, L. T., Haukvik, U. K., Dale, A. M., Melle, I., Hartberg, C. B., Gruber, O., Kraemer, B., Zilles, D., Donohoe, G., Kelly, S., McDonald, C., Morris, D. W., Cannon, D. M., Corvin, A., Machielsen, M. W., Koenders, L., de Haan, L., Veltman, D. J., Satterthwaite, T. D., Wolf, D. H., Gur, R. C., Gur, R. E., Potkin, S. G., Mathalon, D. H., Mueller, B. A., Preda, A., Macciardi, F., Ehrlich, S., Walton, E., Hass, J., Calhoun, V. D., Bockholt, H. J., Sponheim, S. R., Shoemaker, J. M., van Haren, N. E., Pol, H. E., Ophoff, R. A., Kahn, R. S., Roiz-Santiañez, R., Crespo-Facorro, B., Wang, L., Alpert, K. I., Jönsson, E. G., Dimitrova, R., Bois, C., Whalley, H. C., McIntosh, A. M., Lawrie, S. M., Hashimoto, R., Thompson, P. M., & Turner, J. A. (2016). Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Molecular psychiatry, 21(4), 585. https://doi.org/10.1038/mp.2015.118
van Erp, T G M, et al. "Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium." Molecular psychiatry vol. 21,4 (2016): 585. doi: https://doi.org/10.1038/mp.2015.118
van Erp TG, Hibar DP, Rasmussen JM, Glahn DC, Pearlson GD, Andreassen OA, Agartz I, Westlye LT, Haukvik UK, Dale AM, Melle I, Hartberg CB, Gruber O, Kraemer B, Zilles D, Donohoe G, Kelly S, McDonald C, Morris DW, Cannon DM, Corvin A, Machielsen MW, Koenders L, de Haan L, Veltman DJ, Satterthwaite TD, Wolf DH, Gur RC, Gur RE, Potkin SG, Mathalon DH, Mueller BA, Preda A, Macciardi F, Ehrlich S, Walton E, Hass J, Calhoun VD, Bockholt HJ, Sponheim SR, Shoemaker JM, van Haren NE, Pol HE, Ophoff RA, Kahn RS, Roiz-Santiañez R, Crespo-Facorro B, Wang L, Alpert KI, Jönsson EG, Dimitrova R, Bois C, Whalley HC, McIntosh AM, Lawrie SM, Hashimoto R, Thompson PM, Turner JA. Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Mol Psychiatry. 2016 Apr;21(4):585. doi: 10.1038/mp.2015.118. Epub 2015 Aug 18. PMID: 26283641; PMCID: PMC5751698.
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Estimating the influence of body mass index (BMI) on mortality using offspring BMI as an instrumental variable.

International journal of obesity (2005)

Hyppönen E, Carslake D, Berry DJ, Power C, Davey Smith G.
PMID: 34497352
Int J Obes (Lond). 2022 Jan;46(1):77-84. doi: 10.1038/s41366-021-00962-8. Epub 2021 Sep 08.

OBJECTIVE: High body mass index (BMI) is an important predictor of mortality but estimating underlying causality is hampered by confounding and pre-existing disease. Here, we use information from the offspring to approximate parental BMIs, with an aim to avoid...

Cite
Hyppönen E, Carslake D, Berry DJ, et al. Estimating the influence of body mass index (BMI) on mortality using offspring BMI as an instrumental variable. Int J Obes (Lond). 2021;46(1):77-84doi: 10.1038/s41366-021-00962-8.
Hyppönen, E., Carslake, D., Berry, D. J., Power, C., & Davey Smith, G. (2022). Estimating the influence of body mass index (BMI) on mortality using offspring BMI as an instrumental variable. International journal of obesity (2005), 46(1), 77-84. https://doi.org/10.1038/s41366-021-00962-8
Hyppönen, Elina, et al. "Estimating the influence of body mass index (BMI) on mortality using offspring BMI as an instrumental variable." International journal of obesity (2005) vol. 46,1 (2022): 77-84. doi: https://doi.org/10.1038/s41366-021-00962-8
Hyppönen E, Carslake D, Berry DJ, Power C, Davey Smith G. Estimating the influence of body mass index (BMI) on mortality using offspring BMI as an instrumental variable. Int J Obes (Lond). 2022 Jan;46(1):77-84. doi: 10.1038/s41366-021-00962-8. Epub 2021 Sep 08. PMID: 34497352.
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