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23. Classical Human Leukocyte Antigen Alleles and C4 Haplotypes Are Not Significantly Associated With Depression

Author

Glanville, KP, Coleman, JR, Hanscombe, KB, Euesden, J, Choi, SW, Purves, KL, Breen, G, Air, TM, Andlauer, TFM, Baune, BT, Binder, EB, Blackwood, DHR, Boomsma, D, Buttenschon, HN, Colodro-Conde, L, Dannlowski, U, Direk, N, Dunn, EC, Forstner, AJ, de Geus, EJC, Grabe, HJ, Hamilton, SP, Jones, I, Jones, LA, Knowles, JA, Kutalik, Z, Levinson, DF, Lewis, G, Lind, PA, Lucae, S, Magnusson, PK, McGuffin, P, McIntosh, AM, Milaneschi, Y, Mors, O, Mostafavi, S, Mueller-Myhsok, B, Pedersen, NL, Penninx, BWJH, Potash, JB, Preisig, M, Ripke, S, Shi, J, Shyn, S, Smoller, JW, Streit, F, Sullivan, PF, Tiemeier, H, Uher, R, Van der Auwera, S, Weissman, MM, O'Reilly, PF, Lewis, CM, Wray, NR, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Adams, MJ, Agerbo, E, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Bryois, J, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T-K, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Dolan, C, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Foo, JC, Frank, J, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hall, LS, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Howard, DM, Ising, M, Jansen, R, Jorgenson, E, Kohane, IS, Kraft, J, Kretzschmar, WW, Li, Y, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milani, L, Mondimore, FM, Montgomery, GW, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Peyrot, WJ, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Smith, DJ, Stefansson, H, Steinberg, S, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thomson, PA, Thorgeirsson, TE, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Witt, SH, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Berger, K, Cichon, S, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Hayward, C, Heath, AC, Kendler, KS, Kloiber, S, Li, QS, Madden, PAF, Martin, NG, Metspalu, A, Mortensen, PB, Nordentoft, M, Noethen, MM, O'Donovan, MC, Paciga, SA, Perlis, RH, Porteous, DJ, Rietschel, M, Schaefer, C, Schulze, TG, Stefansson, K, Voelzke, H, Werge, T, Borglum, AD, Glanville, KP, Coleman, JR, Hanscombe, KB, Euesden, J, Choi, SW, Purves, KL, Breen, G, Air, TM, Andlauer, TFM, Baune, BT, Binder, EB, Blackwood, DHR, Boomsma, D, Buttenschon, HN, Colodro-Conde, L, Dannlowski, U, Direk, N, Dunn, EC, Forstner, AJ, de Geus, EJC, Grabe, HJ, Hamilton, SP, Jones, I, Jones, LA, Knowles, JA, Kutalik, Z, Levinson, DF, Lewis, G, Lind, PA, Lucae, S, Magnusson, PK, McGuffin, P, McIntosh, AM, Milaneschi, Y, Mors, O, Mostafavi, S, Mueller-Myhsok, B, Pedersen, NL, Penninx, BWJH, Potash, JB, Preisig, M, Ripke, S, Shi, J, Shyn, S, Smoller, JW, Streit, F, Sullivan, PF, Tiemeier, H, Uher, R, Van der Auwera, S, Weissman, MM, O'Reilly, PF, Lewis, CM, Wray, NR, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Adams, MJ, Agerbo, E, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Bryois, J, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T-K, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Dolan, C, Eley, TC, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Foo, JC, Frank, J, Gaspar, HA, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hall, LS, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Howard, DM, Ising, M, Jansen, R, Jorgenson, E, Kohane, IS, Kraft, J, Kretzschmar, WW, Li, Y, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milani, L, Mondimore, FM, Montgomery, GW, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Peyrot, WJ, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Smith, DJ, Stefansson, H, Steinberg, S, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thomson, PA, Thorgeirsson, TE, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Witt, SH, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Berger, K, Cichon, S, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Hayward, C, Heath, AC, Kendler, KS, Kloiber, S, Li, QS, Madden, PAF, Martin, NG, Metspalu, A, Mortensen, PB, Nordentoft, M, Noethen, MM, O'Donovan, MC, Paciga, SA, Perlis, RH, Porteous, DJ, Rietschel, M, Schaefer, C, Schulze, TG, Stefansson, K, Voelzke, H, Werge, T, and Borglum, AD

Abstract

BACKGROUND: The prevalence of depression is higher in individuals with autoimmune diseases, but the mechanisms underlying the observed comorbidities are unknown. Shared genetic etiology is a plausible explanation for the overlap, and in this study we tested whether genetic variation in the major histocompatibility complex (MHC), which is associated with risk for autoimmune diseases, is also associated with risk for depression. METHODS: We fine-mapped the classical MHC (chr6: 29.6-33.1 Mb), imputing 216 human leukocyte antigen (HLA) alleles and 4 complement component 4 (C4) haplotypes in studies from the Psychiatric Genomics Consortium Major Depressive Disorder Working Group and the UK Biobank. The total sample size was 45,149 depression cases and 86,698 controls. We tested for association between depression status and imputed MHC variants, applying both a region-wide significance threshold (3.9 × 10-6) and a candidate threshold (1.6 × 10-4). RESULTS: No HLA alleles or C4 haplotypes were associated with depression at the region-wide threshold. HLA-B*08:01 was associated with modest protection for depression at the candidate threshold for testing in HLA genes in the meta-analysis (odds ratio = 0.98, 95% confidence interval = 0.97-0.99). CONCLUSIONS: We found no evidence that an increased risk for depression was conferred by HLA alleles, which play a major role in the genetic susceptibility to autoimmune diseases, or C4 haplotypes, which are strongly associated with schizophrenia. These results suggest that any HLA or C4 variants associated with depression either are rare or have very modest effect sizes.

Published
2020

24. Genetic comorbidity between major depression and cardio-metabolic traits, stratified by age at onset of major depression

Author

Hagenaars, SP, Coleman, JR, Choi, SW, Gaspar, H, Adams, MJ, Howard, DM, Hodgson, K, Traylor, M, Air, TM, Andlauer, TFM, Arolt, V, Baune, BT, Binder, EB, Blackwood, DHR, Boomsma, D, Campbell, A, Cearns, M, Czamara, D, Dannlowski, U, Domschke, K, de Geus, EJC, Hamilton, SP, Hayward, C, Hickie, IB, Hottenga, JJ, Ising, M, Jones, I, Jones, L, Kutalik, Z, Lucae, S, Martin, NG, Milaneschi, Y, Mueller-Myhsok, B, Owen, MJ, Padmanabhan, S, Penninx, BWJH, Pistis, G, Porteous, DJ, Preisig, M, Ripke, S, Shyn, S, Sullivan, PF, Whitfield, JB, Wray, NR, McIntosh, AM, Deary, IJ, Breen, G, Lewis, CM, Hagenaars, SP, Coleman, JR, Choi, SW, Gaspar, H, Adams, MJ, Howard, DM, Hodgson, K, Traylor, M, Air, TM, Andlauer, TFM, Arolt, V, Baune, BT, Binder, EB, Blackwood, DHR, Boomsma, D, Campbell, A, Cearns, M, Czamara, D, Dannlowski, U, Domschke, K, de Geus, EJC, Hamilton, SP, Hayward, C, Hickie, IB, Hottenga, JJ, Ising, M, Jones, I, Jones, L, Kutalik, Z, Lucae, S, Martin, NG, Milaneschi, Y, Mueller-Myhsok, B, Owen, MJ, Padmanabhan, S, Penninx, BWJH, Pistis, G, Porteous, DJ, Preisig, M, Ripke, S, Shyn, S, Sullivan, PF, Whitfield, JB, Wray, NR, McIntosh, AM, Deary, IJ, Breen, G, and Lewis, CM

Abstract

It is imperative to understand the specific and shared etiologies of major depression and cardio-metabolic disease, as both traits are frequently comorbid and each represents a major burden to society. This study examined whether there is a genetic association between major depression and cardio-metabolic traits and if this association is stratified by age at onset for major depression. Polygenic risk scores analysis and linkage disequilibrium score regression was performed to examine whether differences in shared genetic etiology exist between depression case control status (N cases = 40,940, N controls = 67,532), earlier (N = 15,844), and later onset depression (N = 15,800) with body mass index, coronary artery disease, stroke, and type 2 diabetes in 11 data sets from the Psychiatric Genomics Consortium, Generation Scotland, and UK Biobank. All cardio-metabolic polygenic risk scores were associated with depression status. Significant genetic correlations were found between depression and body mass index, coronary artery disease, and type 2 diabetes. Higher polygenic risk for body mass index, coronary artery disease, and type 2 diabetes was associated with both early and later onset depression, while higher polygenic risk for stroke was associated with later onset depression only. Significant genetic correlations were found between body mass index and later onset depression, and between coronary artery disease and both early and late onset depression. The phenotypic associations between major depression and cardio-metabolic traits may partly reflect their overlapping genetic etiology irrespective of the age depression first presents.

Published
2020

25. Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK Biobank

Author

Coleman, JRI, Peyrot, WJ, Purves, KL, Davis, KAS, Rayner, C, Choi, SW, Hubel, C, Gaspar, HA, Kan, C, Van der Auwera, S, Adams, MJ, Lyall, DM, Choi, KW, Dunn, EC, Vassos, E, Danese, A, Maughan, B, Grabe, HJ, Lewis, CM, O'Reilly, PF, McIntosh, AM, Smith, DJ, Wray, NR, Hotopf, M, Eley, TC, Breen, G, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Binder, EB, Bryois, J, Buttenschon, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T-K, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, CV, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Foo, JC, Forstner, AJ, Frank, J, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hall, LS, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Howard, DM, Ising, M, Jansen, R, Jones, I, Jones, LA, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Kutalik, Z, Li, Y, Lind, PA, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, McGuffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Shi, J, Shyn, SI, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Stefansson, H, Steinberg, S, Streit, F, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thomson, PA, Thorgeirsson, TE, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Witt, SH, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Baune, BT, Berger, K, Boomsma, DI, Cichon, S, Dannlowski, U, de Geus, EJC, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Hamilton, SP, Hayward, C, Heath, AC, Kendler, KS, Kloiber, S, Lewis, G, Li, QS, Lucae, S, Madden, PAF, Magnusson, PK, Martin, NG, Metspalu, A, Mors, O, Mortensen, PB, Mueller-Myhsok, B, Nordentoft, M, Noethen, MM, O'Donovan, MC, Paciga, SA, Pedersen, NL, Penninx, BWJH, Perlis, RH, Porteous, DJ, Potash, JB, Preisig, M, Rietschel, M, Schaefer, C, Schulze, TG, Smoller, JW, Stefansson, K, Tiemeier, H, Uher, R, Volzke, H, Weissman, MM, Werge, T, Levinson, DF, Borglum, AD, Sullivan, PF, Coleman, JRI, Peyrot, WJ, Purves, KL, Davis, KAS, Rayner, C, Choi, SW, Hubel, C, Gaspar, HA, Kan, C, Van der Auwera, S, Adams, MJ, Lyall, DM, Choi, KW, Dunn, EC, Vassos, E, Danese, A, Maughan, B, Grabe, HJ, Lewis, CM, O'Reilly, PF, McIntosh, AM, Smith, DJ, Wray, NR, Hotopf, M, Eley, TC, Breen, G, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Agerbo, E, Air, TM, Andlauer, TFM, Bacanu, S-A, Baekvad-Hansen, M, Beekman, ATF, Bigdeli, TB, Binder, EB, Bryois, J, Buttenschon, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T-K, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Dolan, CV, Escott-Price, V, Kiadeh, FFH, Finucane, HK, Foo, JC, Forstner, AJ, Frank, J, Gill, M, Goes, FS, Gordon, SD, Grove, J, Hall, LS, Hansen, CS, Hansen, TF, Herms, S, Hickie, IB, Hoffmann, P, Homuth, G, Horn, C, Hottenga, J-J, Hougaard, DM, Howard, DM, Ising, M, Jansen, R, Jones, I, Jones, LA, Jorgenson, E, Knowles, JA, Kohane, IS, Kraft, J, Kretzschmar, WW, Kutalik, Z, Li, Y, Lind, PA, MacIntyre, DJ, MacKinnon, DF, Maier, RM, Maier, W, Marchini, J, Mbarek, H, McGrath, P, McGuffin, P, Medland, SE, Mehta, D, Middeldorp, CM, Mihailov, E, Milaneschi, Y, Milani, L, Mondimore, FM, Montgomery, GW, Mostafavi, S, Mullins, N, Nauck, M, Ng, B, Nivard, MG, Nyholt, DR, Oskarsson, H, Owen, MJ, Painter, JN, Pedersen, CB, Pedersen, MG, Peterson, RE, Pettersson, E, Pistis, G, Posthuma, D, Quiroz, JA, Qvist, P, Rice, JP, Riley, BP, Rivera, M, Mirza, SS, Schoevers, R, Schulte, EC, Shen, L, Shi, J, Shyn, SI, Sigurdsson, E, Sinnamon, GCB, Smit, JH, Stefansson, H, Steinberg, S, Streit, F, Strohmaier, J, Tansey, KE, Teismann, H, Teumer, A, Thompson, W, Thomson, PA, Thorgeirsson, TE, Traylor, M, Treutlein, J, Trubetskoy, V, Uitterlinden, AG, Umbricht, D, van Hemert, AM, Viktorin, A, Visscher, PM, Wang, Y, Webb, BT, Weinsheimer, SM, Wellmann, J, Willemsen, G, Witt, SH, Wu, Y, Xi, HS, Yang, J, Zhang, F, Arolt, V, Baune, BT, Berger, K, Boomsma, DI, Cichon, S, Dannlowski, U, de Geus, EJC, DePaulo, JR, Domenici, E, Domschke, K, Esko, T, Hamilton, SP, Hayward, C, Heath, AC, Kendler, KS, Kloiber, S, Lewis, G, Li, QS, Lucae, S, Madden, PAF, Magnusson, PK, Martin, NG, Metspalu, A, Mors, O, Mortensen, PB, Mueller-Myhsok, B, Nordentoft, M, Noethen, MM, O'Donovan, MC, Paciga, SA, Pedersen, NL, Penninx, BWJH, Perlis, RH, Porteous, DJ, Potash, JB, Preisig, M, Rietschel, M, Schaefer, C, Schulze, TG, Smoller, JW, Stefansson, K, Tiemeier, H, Uher, R, Volzke, H, Weissman, MM, Werge, T, Levinson, DF, Borglum, AD, and Sullivan, PF

Abstract

Depression is more frequent among individuals exposed to traumatic events. Both trauma exposure and depression are heritable. However, the relationship between these traits, including the role of genetic risk factors, is complex and poorly understood. When modelling trauma exposure as an environmental influence on depression, both gene-environment correlations and gene-environment interactions have been observed. The UK Biobank concurrently assessed Major Depressive Disorder (MDD) and self-reported lifetime exposure to traumatic events in 126,522 genotyped individuals of European ancestry. We contrasted genetic influences on MDD stratified by reported trauma exposure (final sample size range: 24,094-92,957). The SNP-based heritability of MDD with reported trauma exposure (24%) was greater than MDD without reported trauma exposure (12%). Simulations showed that this is not confounded by the strong, positive genetic correlation observed between MDD and reported trauma exposure. We also observed that the genetic correlation between MDD and waist circumference was only significant in individuals reporting trauma exposure (rg = 0.24, p = 1.8 × 10-7 versus rg = -0.05, p = 0.39 in individuals not reporting trauma exposure, difference p = 2.3 × 10-4). Our results suggest that the genetic contribution to MDD is greater when reported trauma is present, and that a complex relationship exists between reported trauma exposure, body composition, and MDD.

Published
2020

26. Bivariate genome-wide association analyses of the broad depression phenotype combined with major depressive disorder, bipolar disorder or schizophrenia reveal eight novel genetic loci for depression

Author

Amare, AT, Vaez, A, Hsu, YH, Direk, Nese, Kamali, Z, Howard, DM, McIntosh, AM, Tiemeier, Henning, Bültmann, U, Snieder, H, Hartman, CA, Amare, AT, Vaez, A, Hsu, YH, Direk, Nese, Kamali, Z, Howard, DM, McIntosh, AM, Tiemeier, Henning, Bültmann, U, Snieder, H, and Hartman, CA

Published
2020

27. Methylome-wide association study of antidepressant use in Generation Scotland and the Netherlands Twin Register implicates the innate immune system

Author

Barbu, MC, primary, Huider, F, additional, Campbell, A, additional, Amador, C, additional, Adams, MJ, additional, Lynall, ME, additional, Howard, DM, additional, Walker, RM, additional, Morris, SW, additional, Van Dongen, J, additional, Porteous, DJ, additional, Evans, KL, additional, Bullmore, E, additional, Willemsen, G, additional, Boomsma, DI, additional, Whalley, HC, additional, and McIntosh, AM, additional

Published
2020
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28. Singing and Psychological Needs

Author

Welch, GF, Howard, DM, Nix, J, Davidson, JW, Garrido, S, Welch, GF, Howard, DM, Nix, J, Davidson, JW, and Garrido, S

Abstract

This chapter explores evidence that reveals the psychological benefits of participation in singing activity. The theoretical framework for this chapter focuses on Ryan and Deci’s(2002) model of psychological needs. This theory argues that when satisfaction of the psychological needs of competency, relatedness, and autonomy are met, health and wellbeing are achieved. It is shown how feelings of competency and social connection can be achieved by placing singing at the center of someone’s life which can enhance potential for positive well-being impact. Generating feelings of autonomy facilitate motivation and promote self-endorsed and self-governed actions. Examples from singing contexts provide evidence for this discussion. In groups such as older people, for example, the sense of individual control in the singing group can have positive effects in a life otherwise often controlled by doctors and care workers.

Published
2019

29. Group Singing and Social Identity

Author

Welch, GF, Howard, DM, Nix, J, Davidson, JW, Faulkner, R, Welch, GF, Howard, DM, Nix, J, Davidson, JW, and Faulkner, R

Abstract

Group singing practices interact with socio-cultural context, and this relationship depends on predominant social trends. Furthermore, ability to act in the world is expressed through Self-Identity, whereby we constitute ourselves as agents, authors of our actions, and generate our identities. There are three principal components of Self: the Material Self (the body; the physical world); the Social Self (expressed in relationships); and the Spiritual Self (found in religious/ spiritual experience). These elements interact in a web of individual and cultural circumstance, the overall becoming labeled The Created Self. In this chapter Selfhood is acknowledged as developing within a social and cultural milieu and is shaped by the specific roles we enact. Identity is primarily developed in relation to others, comprising many elements that are not fixed, but changing. Case studies are used to explore how social musical identities are developed in the social activity of group singing.

Published
2019

30. Quantifying between-cohort and between-sex genetic heterogeneity in major depressive disorder

Author

Trzaskowski, M, Mehta, D, Peyrot, WJ, Hawkes, D, Davies, D, Howard, DM, Kemper, KE, Sidorenko, J, Maier, R, Ripke, S, Mattheisen, M, Baune, BT, Grabe, HJ, Heath, AC, Jones, L, Jones, I, Madden, PAF, McIntosh, AM, Breen, G, Lewis, CM, Borglum, AD, Sullivan, PF, Martin, NG, Kendler, KS, Levinson, DF, Wray, NR, Trzaskowski, M, Mehta, D, Peyrot, WJ, Hawkes, D, Davies, D, Howard, DM, Kemper, KE, Sidorenko, J, Maier, R, Ripke, S, Mattheisen, M, Baune, BT, Grabe, HJ, Heath, AC, Jones, L, Jones, I, Madden, PAF, McIntosh, AM, Breen, G, Lewis, CM, Borglum, AD, Sullivan, PF, Martin, NG, Kendler, KS, Levinson, DF, and Wray, NR

Abstract

Major depressive disorder (MDD) is clinically heterogeneous with prevalence rates twice as high in women as in men. There are many possible sources of heterogeneity in MDD most of which are not measured in a sufficiently comparable way across study samples. Here, we assess genetic heterogeneity based on two fundamental measures, between-cohort and between-sex heterogeneity. First, we used genome-wide association study (GWAS) summary statistics to investigate between-cohort genetic heterogeneity using the 29 research cohorts of the Psychiatric Genomics Consortium (PGC; N cases = 16,823, N controls = 25,632) and found that some of the cohort heterogeneity can be attributed to ascertainment differences (such as recruitment of cases from hospital vs. community sources). Second, we evaluated between-sex genetic heterogeneity using GWAS summary statistics from the PGC, Kaiser Permanente GERA, UK Biobank, and the Danish iPSYCH studies but did not find convincing evidence for genetic differences between the sexes. We conclude that there is no evidence that the heterogeneity between MDD data sets and between sexes reflects genetic heterogeneity. Larger sample sizes with detailed phenotypic records and genomic data remain the key to overcome heterogeneity inherent in assessment of MDD.

Published
2019

31. Genome-Wide Association Study Meta-Analysis of the Alcohol Use Disorders Identification Test (AUDIT) in Two Population-Based Cohorts

Author

Sanchez-Roige, S, Palmer, AA, Fontanillas, P, Elson, SL, 23andMe Research Team, Substance Use Disorder Working Group of the Psychiatric Genomics Consortium, Adams, MJ, Howard, DM, Edenberg, HJ, Davies, G, Crist, RC, Deary, IJ, McIntosh, AM, and Clarke, T-K

Subjects
Substance Use Disorder Working Group of the Psychiatric Genomics Consortium, 23andMe Research Team
Abstract

OBJECTIVE::Alcohol use disorders are common conditions that have enormous social and economic consequences. Genome-wide association analyses were performed to identify genetic variants associated with a proxy measure of alcohol consumption and alcohol misuse and to explore the shared genetic basis between these measures and other substance use, psychiatric, and behavioral traits. METHOD::This study used quantitative measures from the Alcohol Use Disorders Identification Test (AUDIT) from two population-based cohorts of European ancestry (UK Biobank [N=121,604] and 23andMe [N=20,328]) and performed a genome-wide association study (GWAS) meta-analysis. Two additional GWAS analyses were performed, a GWAS for AUDIT scores on items 1-3, which focus on consumption (AUDIT-C), and for scores on items 4-10, which focus on the problematic consequences of drinking (AUDIT-P). RESULTS::The GWAS meta-analysis of AUDIT total score identified 10 associated risk loci. Novel associations localized to genes including JCAD and SLC39A13; this study also replicated previously identified signals in the genes ADH1B, ADH1C, KLB, and GCKR. The dimensions of AUDIT showed positive genetic correlations with alcohol consumption (rg=0.76-0.92) and DSM-IV alcohol dependence (rg=0.33-0.63). AUDIT-P and AUDIT-C scores showed significantly different patterns of association across a number of traits, including psychiatric disorders. AUDIT-P score was significantly positively genetically correlated with schizophrenia (rg=0.22), major depressive disorder (rg=0.26), and attention deficit hyperactivity disorder (rg=0.23), whereas AUDIT-C score was significantly negatively genetically correlated with major depressive disorder (rg=-0.24) and ADHD (rg=-0.10). This study also used the AUDIT data in the UK Biobank to identify thresholds for dichotomizing AUDIT total score that optimize genetic correlations with DSM-IV alcohol dependence. Coding individuals with AUDIT total scores ≤4 as control subjects and those with scores ≥12 as case subjects produced a significant high genetic correlation with DSM-IV alcohol dependence (rg=0.82) while retaining most subjects. CONCLUSIONS::AUDIT scores ascertained in population-based cohorts can be used to explore the genetic basis of both alcohol consumption and alcohol use disorders.

Published
2018

32. Genome-wide Regional Heritability Mapping Identifies a Locus Within the TOX2 Gene Associated With Major Depressive Disorder

Author

Zeng, Y, Navarro, P, Shirali, M, Howard, DM, Adams, MJ, Hall, LS, Clarke, T-K, Thomson, PA, Smith, BH, Murray, A, Padmanabhan, S, Hayward, C, Boutin, T, MacIntyre, DJ, Lewis, CM, Wray, NR, Mehta, D, Penninx, BWJH, Milaneschi, Y, Baune, BT, Air, T, Hottenga, J-J, Mbarek, H, Castelao, E, Pistis, G, Schulze, TG, Streit, F, Forstner, AJ, Byrne, EM, Martin, NG, Breen, G, Mueller-Myhsok, B, Lucae, S, Kloiber, S, Domenici, E, Deary, IJ, Porteous, DJ, Haley, CS, McIntosh, AM, Zeng, Y, Navarro, P, Shirali, M, Howard, DM, Adams, MJ, Hall, LS, Clarke, T-K, Thomson, PA, Smith, BH, Murray, A, Padmanabhan, S, Hayward, C, Boutin, T, MacIntyre, DJ, Lewis, CM, Wray, NR, Mehta, D, Penninx, BWJH, Milaneschi, Y, Baune, BT, Air, T, Hottenga, J-J, Mbarek, H, Castelao, E, Pistis, G, Schulze, TG, Streit, F, Forstner, AJ, Byrne, EM, Martin, NG, Breen, G, Mueller-Myhsok, B, Lucae, S, Kloiber, S, Domenici, E, Deary, IJ, Porteous, DJ, Haley, CS, and McIntosh, AM

Abstract

BACKGROUND: Major depressive disorder (MDD) is the second largest cause of global disease burden. It has an estimated heritability of 37%, but published genome-wide association studies have so far identified few risk loci. Haplotype-block-based regional heritability mapping (HRHM) estimates the localized genetic variance explained by common variants within haplotype blocks, integrating the effects of multiple variants, and may be more powerful for identifying MDD-associated genomic regions. METHODS: We applied HRHM to Generation Scotland: The Scottish Family Health Study, a large family- and population-based Scottish cohort (N = 19,896). Single-single nucleotide polymorphism (SNP) and haplotype-based association tests were used to localize the association signal within the regions identified by HRHM. Functional prediction was used to investigate the effect of MDD-associated SNPs within the regions. RESULTS: A haplotype block across a 24-kb region within the TOX2 gene reached genome-wide significance in HRHM. Single-SNP- and haplotype-based association tests demonstrated that five of nine genotyped SNPs and two haplotypes within this block were significantly associated with MDD. The expression of TOX2 and a brain-specific long noncoding RNA RP1-269M15.3 in frontal cortex and nucleus accumbens basal ganglia, respectively, were significantly regulated by MDD-associated SNPs within this region. Both the regional heritability and single-SNP associations within this block were replicated in the UK-Ireland group of the most recent release of the Psychiatric Genomics Consortium (PGC), the PGC2-MDD (Major Depression Dataset). The SNP association was also replicated in a depressive symptom sample that shares some individuals with the PGC2-MDD. CONCLUSIONS: This study highlights the value of HRHM for MDD and provides an important target within TOX2 for further functional studies.

Published
2017

35. The effects of a third generation combined oral contraceptive pill on the classical singing voice.

Author

La FM, Ledger WL, Davidson JW, Howard DM, and Jones GL

Abstract

SUMMARY: The success of professional operatic singers depends upon the quality of their vocal mechanism. This is known to be sensitive to changes in the endocrine environment. Despite a widespread belief among singers that vocal quality changes according to the stage of the menstrual cycle, this has received little attention. In particular, the possibility that use of the contraceptive pill might stabilize vocal quality by 'dampening' hormonal fluctuations has not previously been studied systematically. Here, we show that drospirenone containing oral contraceptive pill (Yasmin, Schering AG, West Sussex, UK) with antiandrogenic and antimineralocorticoid properties demonstrates a significant reduction in the irregularity of the pattern of vibration of the vocal folds during the performance of highly trained classical singers. This study constitutes the first double blind, randomized placebo controlled trial to assess the effects of the contraceptive pill on the patterns of vibration of the vocal folds during the performance of Western classical singing repertoire. [ABSTRACT FROM AUTHOR]

Published
2007

36. Discussant response to 'Does the acoustic waveform mirror the voice?'.

Author

Howard DM

Abstract

The acoustic waveform that reaches the two ears of a listener can convey the intended message. Over the telephone, this waveform is the only source of information from the speaker, since the listener is out of visual contact; indeed, in this situation the acoustic waveform itself is restricted in its frequency content. Whilst the listener can infer much about the speaker from the acoustic waveform, including the speaker's age, gender, nationality, dialect, and emotional state, the issue under consideration here is the extent to which quantitative analysis of the acoustic waveform can provide useful information about a speaker's voice. This paper was presented as an Invited Discussant Response, at the Pan-European Voice Conference (PEVOC6) in London, to the question posed in Ternstrom's Invited Keynote Lecture 1: Does the acoustic waveform mirror the voice? [ABSTRACT FROM AUTHOR]

Published
2005
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39. THE AETIOLOGY OF OBESITY

Author

Howard Dm

Subjects
Adult, Pediatrics, medicine.medical_specialty, Hyperplasia, Appetite Regulation, business.industry, Hypothalamus, Infant, Newborn, Infant, Hypertrophy, General Medicine, medicine.disease, Obesity, Adipose Tissue, medicine, Etiology, Humans, Child, business
Published
1976

44. Singing and Emotion

Author

Nicola Dibben, Klaus R. Scherer, Eduardo Coutinho, Welch, G, Howard, DM, and Nix, J

Subjects
Cognitive science, Communication, Externalization, business.industry, media_common.quotation_subject, Interpretation (philosophy), Expression (architecture), Perception, Emotional expression, Singing, Psychology, Everyday life, business, Human voice, media_common
Abstract

In this chapter the authors discuss the emotional power of the singing voice. The chapter begins by providing an overview of the process of externalization of emotions by the human voice. Then, the authors discuss some fundamental determinants of emotional expression in singing, namely the ‘emotional script’, the artistic interpretation, and the singer’s affective state. Next, they describe the manner in which expressed emotions are encoded in the voice by singers and recognized by listeners, and compare it with vocal expression in everyday life. Finally, they identify various methodologies that can enhance understanding of the physiology of vocal production and the acoustic cues fundamental to perception and production of expressive sung performance. The authors propose that the knowledge gained from application of these methodologies can inform singing practice, and that interdisciplinary approaches and cooperation are central aspects of a fruitful and sustainable study of the expressive powers of the singing voice.

Published
2014

45. Quantifying the relative importance of genetics and environment on the comorbidity between mental and cardiometabolic disorders using 17 million Scandinavians.

Author

Meijsen J, Hu K, Krebs MD, Athanasiadis G, Washbrook S, Zetterberg R, Avelar E Silva RN, Shorter JR, Gådin JR, Bergstedt J, Howard DM, Ye W, Lu Y, Valdimarsdóttir UA, Ingason A, Helenius D, Plana-Ripoll O, McGrath JJ, Micali N, Andreassen OA, Werge TM, Fang F, and Buil A

Subjects
Humans, Male, Denmark epidemiology, Sweden epidemiology, Female, Autism Spectrum Disorder genetics, Autism Spectrum Disorder epidemiology, Metabolic Diseases genetics, Metabolic Diseases epidemiology, Adult, Gene-Environment Interaction, Schizophrenia genetics, Schizophrenia epidemiology, Middle Aged, Attention Deficit Disorder with Hyperactivity genetics, Attention Deficit Disorder with Hyperactivity epidemiology, Scandinavians and Nordic People, Comorbidity, Mental Disorders genetics, Mental Disorders epidemiology, Cardiovascular Diseases genetics, Cardiovascular Diseases epidemiology
Abstract

Mental disorders are leading causes of disability and premature death worldwide, partly due to high comorbidity with cardiometabolic disorders. Reasons for this comorbidity are still poorly understood. We leverage nation-wide health records and near-complete genealogies of Denmark and Sweden (n = 17 million) to reveal the genetic and environmental contributions underlying the observed comorbidity between six mental disorders and 15 cardiometabolic disorders. Genetic factors contributed about 50% to the comorbidity of schizophrenia, affective disorders, and autism spectrum disorder with cardiometabolic disorders, whereas the comorbidity of attention-deficit/hyperactivity disorder and anorexia with cardiometabolic disorders was mainly or fully driven by environmental factors. In this work we provide causal insight to guide clinical and scientific initiatives directed at achieving mechanistic understanding as well as preventing and alleviating the consequences of these disorders., (© 2024. The Author(s).)

Published
2024
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46. An epidemiological study of season of birth, mental health, and neuroimaging in the UK Biobank.

Author

Viejo-Romero M, Whalley HC, Shen X, Stolicyn A, Smith DJ, and Howard DM

Subjects
Humans, Female, Male, United Kingdom epidemiology, Middle Aged, Adult, Parturition, Depressive Disorder, Major diagnostic imaging, Depressive Disorder, Major epidemiology, Aged, Epidemiologic Studies, Brain diagnostic imaging, Magnetic Resonance Imaging, UK Biobank, Seasons, Mental Health, Neuroimaging, Biological Specimen Banks
Abstract

Environmental exposures during the perinatal period are known to have a long-term effect on adult physical and mental health. One such influential environmental exposure is the time of year of birth which affects the amount of daylight, nutrients, and viral load that an individual is exposed to within this key developmental period. Here, we investigate associations between season of birth (seasonality), four mental health traits (n = 137,588) and multi-modal neuroimaging measures (n = 33,212) within the UK Biobank. Summer births were associated with probable recurrent Major Depressive Disorder (β = 0.026, pcorr = 0.028) and greater mean cortical thickness in temporal and occipital lobes (β = 0.013 to 0.014, pcorr<0.05). Winter births were associated with greater white matter integrity globally, in the association fibers, thalamic radiations, and six individual tracts (β = -0.013 to -0.022, pcorr<0.05). Results of sensitivity analyses adjusting for birth weight were similar, with an additional association between winter birth and white matter microstructure in the forceps minor and between summer births, greater cingulate thickness and amygdala volume. Further analyses revealed associations between probable depressive phenotypes and a range of neuroimaging measures but a paucity of interactions with seasonality. Our results suggest that seasonality of birth may affect later-life brain structure and play a role in lifetime recurrent Major Depressive Disorder. Due to the small effect sizes observed, and the lack of associations with other mental health traits, further research is required to validate birth season effects in the context of different latitudes, and by co-examining genetic and epigenetic measures to reveal informative biological pathways., Competing Interests: The authors have declared that no competing interests exist, (Copyright: © 2024 Viejo-Romero et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Published
2024
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47. Contributions of Polygenic Risk and Disease Status to Gray Matter Abnormalities in Major Depression.

Author

Kämpe R, Paul ER, Östman L, Heilig M, Howard DM, and Hamilton JP

Subjects
Male, Humans, Female, Cross-Sectional Studies, Depression, Cerebral Cortex, Gray Matter, Depressive Disorder, Major genetics, Depressive Disorder, Major drug therapy
Abstract

Background: Gray matter (GM) abnormalities in depression are potentially attributable to some combination of trait, state, and illness history factors. Here, we sought to determine the contributions of polygenic risk for depression, depressive disease status, and the interaction of these factors to these GM abnormalities., Methods: We conducted a cross-sectional comparison using a 2 × 3 factorial design examining effects of polygenic risk for depression (lower vs. upper quartile) and depression status (never depressed, currently depressed, or remitted depression) on regional GM concentration and GM volume. Participants were a subset of magnetic resonance imaging-scanned UK Biobank participants comprising 2682 people (876 men, 1806 women) algorithmically matched on 16 potential confounders., Results: In women but not men, we observed that elevated polygenic risk for depression was associated with reduced cerebellar GM volume. This deficit occurred in salience and dorsal attention network regions of the cerebellum and was associated with poorer performance on tests of attention and executive function but not fluid intelligence. Moreover, in women with current depression compared to both women with remitted depression and women who never had depression, we observed GM reductions in ventral and medial prefrontal, insular, and medial temporal regions. These state-related abnormalities remained when accounting for antidepressant medication status., Conclusions: Neuroanatomical deficits attributed broadly to major depression are more likely due to an aggregation of independent factors. Polygenic risk for depression accounted for cerebellar structural abnormalities that themselves accounted for cognitive deficits observed in this disorder. Medial and ventral prefrontal, insular, and temporal cortex deficits constituted a much larger proportion of the aggregate deficit and were attributable to the depressed state., (Crown Copyright © 2023. Published by Elsevier Inc. All rights reserved.)

Published
2024
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48. Quantifying the Relative Importance of Genetics and Environment on the Comorbidity between Mental- and Cardiometabolic Disorders: A Comprehensive Analysis of National Register Data from 17 million Scandinavians.

Author

Meijsen J, Hu K, Krebs MD, Athanasiadis G, Washbrook S, Zetterberg R, E Silva RNA, Shorter JR, Gådin JR, Bergstedt J, Howard DM, Ye W, Lu Y, Valdimarsdóttir UA, Ingason A, Mikkelsen DH, Plana-Ripoll O, McGrath JJ, Micali N, Andreassen OA, Werge TM, Fang F, and Buil A

Abstract

Mental disorders (MDs) are leading causes of disability and premature death worldwide, partly due to high comorbidity with cardiometabolic disorders (CMDs). Reasons for this comorbidity are still poorly understood. We leverage nation-wide health records and complete genealogies of Denmark and Sweden (n=17 million) to reveal the genetic and environmental contributions underlying the observed comorbidity between six MDs and 14 CMDs. Genetic factors contributed about 50% to the comorbidity of schizophrenia, affective disorders, and autism spectrum disorder with CMDs, whereas the comorbidity of attention-deficit/hyperactivity disorder and anorexia with CMDs was mainly or fully driven by environmental factors. These findings provide causal insight to guide clinical and scientific initiatives directed at achieving mechanistic understanding as well as preventing and alleviating the consequences of these disorders., Competing Interests: Declaration of interests NM receives an honorarium to serve as associate editor on the European Eating Disorders Review board. OAA is a consultant to Corteechs.ai and received speaker’s honorarium from Janssen, Sunovion and Lundbeck. UAV declares receiving support from EPA2023, ISTSS2022 as keynote speaker, and serves on a NordForsk expert committee on Long COVID.

Published
2024
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49. Influence of vowels on note pitching in a cappella vocal quartet performance.

Author

Howard DM

Abstract

This paper notes that accurate tuning in a cappella (unaccompanied) choral music is a two-step process requiring (1) making pitch shifts on individual notes to sing intervals in just intonation thereby providing beat-free tuning for the consonant musical intervals that underpin the underlying harmony and (2) tuning different vowels to account for any additional pitch changes that are made in the context of the intrinsic pitch relating to the specific vowel being produced. This paper explores the second of these in the context of a part-by-part vowel variation during a sustained chord sung by the other three parts by a quartet of professional singers., Objective: This study aimed to investigate the relationship between the fundamental frequencies employed when singing different vowels on the same pitch for each member in turn of a professional soprano, alto, tenor, bass (SATB) a cappella vocal quartet in terms of the measured fundamental frequency during the production of a set of individual vowels within a four-part carrier phrase., Study Design: This is an experimental singing production study on the tuning of vowels in the context of a cappella quartet singing. To facilitate this, one singer at a time in a professional a cappella vocal quartet changed the vowel they are singing on a single note concurrent with a consonant a cappella triad being sustained by the other three singers singing a fixed vowel., Methods/design: The first few bars of the a cappella anthem "If ye love me" by Thomas Tallis provided a carrier phrase that ended with a held chord on the chord on the word "me" by three singers against which the remaining singer produced a set of different vowels on their note of the chord. This is carried out for each of the four singers. The hypothesis being investigated is to remain accurately in-tune; fundamental frequency should be varied depending on the vowel being sung. Fundamental frequencies were measured using electrolaryngographs to ensure that there was no acoustic interference that could affect the accuracy of the fundamental frequency measurements if they were obtained from the audio output., Results: The results provide clear evidence of changes being made to the fundamental frequencies of different vowels in an a cappella quartet context, and these changes confirm variations found elsewhere relating to the perceived pitches of different vowels., Conclusions: Measurable and consistent fundamental frequency variations occur when one part tunes different vowels against a reference chord sung by the other three singers in a choral quartet context on a fixed vowel. This has a direct consequence for tuning in a cappella choral music. The importance of carefully tuning individual notes for different vowels in a cappella choral singing requires focused listening to the pitches of the sounds being produced by the other singers in the choir. Usually, all parts are singing common vowels where it is important that the vowels are matched by being carefully blended together and tuning is aimed at being beat-free in just intonation. When compositions require parts to sing different vowels, both intrinsic (production related) and auditory (hearing related) pitch variations become relevant and challenge beat-free tuning., Competing Interests: Declaration of Competing Interest None., (Crown Copyright © 2023. Published by Elsevier Inc. All rights reserved.)

Published
2023
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50. A sex-specific genome-wide association study of depression phenotypes in UK Biobank.

Author

Silveira PP, Pokhvisneva I, Howard DM, and Meaney MJ

Subjects
Humans, Male, Female, Depression genetics, Biological Specimen Banks, Phenotype, United Kingdom, Genetic Predisposition to Disease genetics, Multifactorial Inheritance genetics, Genome-Wide Association Study, Depressive Disorder, Major genetics
Abstract

There are marked sex differences in the prevalence, phenotypic presentation and treatment response for major depression. While genome-wide association studies (GWAS) adjust for sex differences, to date, no studies seek to identify sex-specific markers and pathways. In this study, we performed a sex-stratified genome-wide association analysis for broad depression with the UK Biobank total participants (N = 274,141), including only non-related participants, as well as with males (N = 127,867) and females (N = 146,274) separately. Bioinformatics analyses were performed to characterize common and sex-specific markers and associated processes/pathways. We identified 11 loci passing genome-level significance (P < 5 × 10 -8 ) in females and one in males. In both males and females, genetic correlations were significant between the broad depression GWA and other psychopathologies; however, correlations with educational attainment and metabolic features including body fat, waist circumference, waist-to-hip ratio and triglycerides were significant only in females. Gene-based analysis showed 147 genes significantly associated with broad depression in the total sample, 64 in the females and 53 in the males. Gene-based analysis revealed "Regulation of Gene Expression" as a common biological process, but suggested sex-specific molecular mechanisms. Finally, sex-specific polygenic risk scores (PRSs) for broad depression outperformed total and the opposite sex PRSs in the prediction of broad major depressive disorder. These findings provide evidence for sex-dependent genetic pathways for clinical depression as well as for health conditions comorbid with depression., (© 2023. The Author(s).)

Published
2023
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