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Somatic, positive and negative domains of the Center for Epidemiological Studies Depression (CES-D) scale: a meta-analysis of genome-wide association studies

Published online by Cambridge University Press:  21 March 2016

A. Demirkan ,
J. Lahti ,
N. Direk ,
A. Viktorin ,
K. L. Lunetta ,
A. Terracciano ,
M. A. Nalls ,
T. Tanaka ,
K. Hek  and
M. Fornage
...Show all authors
A. Demirkan
Affiliation:
Genetic Epidemiology Unit, Departments of Epidemiology and Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands
J. Lahti*
Affiliation:
Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
N. Direk
Affiliation:
Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
A. Viktorin
Affiliation:
Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
K. L. Lunetta
Affiliation:
Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
A. Terracciano
Affiliation:
National Institute on Aging, National Institutes of Health, Baltimore, MD, USA College of Medicine, Florida State University, Tallahassee, FL, USA
M. A. Nalls
Affiliation:
Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
T. Tanaka
Affiliation:
National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
K. Hek
Affiliation:
Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands Department of Psychiatry, Epidemiological and Social Psychiatric Research Institute, Erasmus MC, Rotterdam, The Netherlands
M. Fornage
Affiliation:
Houston Institute of Molecular Medicine, University of Texas, Houston, TX, USA
J. Wellmann
Affiliation:
Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
M. C. Cornelis
Affiliation:
Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
H. M. Ollila
Affiliation:
Public Health Genomics Unit and Institute for Molecular Medicine Finland (FIMM), National Institute for Health and Welfare, Helsinki, Finland
L. Yu
Affiliation:
Department of Neurological Sciences, Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
J. A. Smith
Affiliation:
Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
L. C. Pilling
Affiliation:
University of Exeter Medical School, Exeter, UK
A. Isaacs
Affiliation:
Genetic Epidemiology Unit, Departments of Epidemiology and Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands
A. Palotie
Affiliation:
Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
W. V. Zhuang
Affiliation:
Department of Preventive Medicine and Public Health, School of Medicine, Creighton University, Omaha, NE, USA
A. Zonderman
Affiliation:
National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
J. D. Faul
Affiliation:
Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
A. Sutin
Affiliation:
National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
O. Meirelles
Affiliation:
National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
A. Mulas
Affiliation:
Istituto di Ricerca Genetica e Biomedica, CNR, Monserrato, Cagliari, Italy
A. Hofman
Affiliation:
Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
A. Uitterlinden
Affiliation:
Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands Member of Netherlands Consortium for Healthy Aging sponsored by Netherlands Genomics Initiative, Leiden, The Netherlands Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
F. Rivadeneira
Affiliation:
Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands Member of Netherlands Consortium for Healthy Aging sponsored by Netherlands Genomics Initiative, Leiden, The Netherlands Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
M. Perola
Affiliation:
Public Health Genomics Unit and Institute for Molecular Medicine Finland (FIMM), National Institute for Health and Welfare, Helsinki, Finland
W. Zhao
Affiliation:
Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
V. Salomaa
Affiliation:
Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
K. Yaffe
Affiliation:
Departments of Psychiatry, University of California, San Francisco, CA, USA
A. I. Luik
Affiliation:
Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
Y. Liu
Affiliation:
Center for Human Genomics, Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, USA
J. Ding
Affiliation:
Geriatrics & Gerontology, Sticht Center on Aging, Wake Forest University, Primate Center, Epidemiology & Prevention, Winston-Salem, NC, USA
P. Lichtenstein
Affiliation:
Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
M. Landén
Affiliation:
Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
E. Widen
Affiliation:
Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
D. R. Weir
Affiliation:
Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
D. J. Llewellyn
Affiliation:
University of Exeter Medical School, Exeter, UK
A. Murray
Affiliation:
University of Exeter Medical School, Exeter, UK
S. L. R. Kardia
Affiliation:
Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
J. G. Eriksson
Affiliation:
National Institute for Health and Welfare, Helsinki, Finland Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
K. Koenen
Affiliation:
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
P. K. E. Magnusson
Affiliation:
Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
L. Ferrucci
Affiliation:
National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
T. H. Mosley
Affiliation:
Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
F. Cucca
Affiliation:
Istituto di Ricerca Genetica e Biomedica, CNR, Monserrato, Cagliari, Italy
B. A. Oostra
Affiliation:
Genetic Epidemiology Unit, Departments of Epidemiology and Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
D. A. Bennett
Affiliation:
Department of Neurological Sciences, Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
T. Paunio
Affiliation:
Public Health Genomics Unit and Institute for Molecular Medicine Finland (FIMM), National Institute for Health and Welfare, Helsinki, Finland
K. Berger
Affiliation:
Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
T. B. Harris
Affiliation:
Laboratory of Epidemiology, Demography, and Biometry, National Institute on Ageing, National Institutes of Health, Bethesda, MD, USA
N. L. Pedersen
Affiliation:
Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
J. M. Murabito
Affiliation:
Department of Medicine, Section of General Internal Medicine, Boston University School of Medicine, Boston, MA, USA
H. Tiemeier
Affiliation:
Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
C. M. van Duijn
Affiliation:
Genetic Epidemiology Unit, Departments of Epidemiology and Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands Member of Netherlands Consortium for Healthy Aging sponsored by Netherlands Genomics Initiative, Leiden, The Netherlands
K. Räikkönen
Affiliation:
Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
NABEC
Affiliation:
North American Brain Expression Consortium, USA
UKBEC
Affiliation:
UK Brain Expression Consortium, UK
*
*Address for correspondence: J. Lahti, Institute of Behavioural Sciences, University of Helsinki, Siltavuorenpenger 1A, 00014 Helsingin yliopisto, Finland. (Email: [email protected])
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Abstract

Background

Major depressive disorder (MDD) is moderately heritable, however genome-wide association studies (GWAS) for MDD, as well as for related continuous outcomes, have not shown consistent results. Attempts to elucidate the genetic basis of MDD may be hindered by heterogeneity in diagnosis. The Center for Epidemiological Studies Depression (CES-D) scale provides a widely used tool for measuring depressive symptoms clustered in four different domains which can be combined together into a total score but also can be analysed as separate symptom domains.

Method

We performed a meta-analysis of GWAS of the CES-D symptom clusters. We recruited 12 cohorts with the 20- or 10-item CES-D scale (32 528 persons).

Results

One single nucleotide polymorphism (SNP), rs713224, located near the brain-expressed melatonin receptor (MTNR1A) gene, was associated with the somatic complaints domain of depression symptoms, with borderline genome-wide significance (pdiscovery = 3.82 × 10−8). The SNP was analysed in an additional five cohorts comprising the replication sample (6813 persons). However, the association was not consistent among the replication sample (pdiscovery+replication = 1.10 × 10−6) with evidence of heterogeneity.

Conclusions

Despite the effort to harmonize the phenotypes across cohorts and participants, our study is still underpowered to detect consistent association for depression, even by means of symptom classification. On the contrary, the SNP-based heritability and co-heritability estimation results suggest that a very minor part of the variation could be captured by GWAS, explaining the reason of sparse findings.

Keywords

Genome-wide association studiesmajor depressive disordermeta-analyses
Type
Original Articles
Information
Psychological Medicine , Volume 46 , Issue 8 , June 2016 , pp. 1613 - 1623
Copyright
Copyright © Cambridge University Press 2016 

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References

American Psychiatric Association (1994). Diagnostic and Statistical Manual of Mental Disorders, 4th edn. American Psychiatric Association: Washington, DC.Google Scholar
Anderson, G (2010). The role of melatonin in post-partum psychosis and depression associated with bipolar disorder. Journal of Perinatal Medicine 38, 585–587.Google Scholar
ARIC Investigators (1989). The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC Investigators. American Journal of Epidemiology 129, 687–702.Google Scholar
Aulchenko, YS, Heutink, P, Mackay, I, Bertoli-Avella, AM, Pullen, J, Vaessen, N, Rademaker, TAM, Sandkuijl, LA, Cardon, L, Oostra, B, van Duijn, CM (2004). Linkage disequilibrium in young genetically isolated Dutch population. European Journal of Human Genetics 12, 527–534.Google Scholar
Barker, DJ, Osmond, C, Forsen, TJ, Kajantie, E, Eriksson, JG (2005). Trajectories of growth among children who have coronary events as adults. New England Journal of Medicine 353, 1802–1809.CrossRefGoogle ScholarPubMed
Bennett, DA (2006). Postmortem indices linking risk factors to cognition: results from the Religious Order Study and the Memory and Aging Project. Alzheimer Disease and Associated Disorders 20 (Suppl. 2), S63–S68.CrossRefGoogle ScholarPubMed
Bennett, DA, Schneider, JA, Buchman, AS, Mendes de Leon, C, Bienias, JL, Wilson, RS (2005). The Rush Memory and Aging Project: study design and baseline characteristics of the study cohort. Neuroepidemiology 25, 163–175.CrossRefGoogle ScholarPubMed
Bernert, S, Matschinger, H, Alonso, J, Haro, JM, Brugha, TS, Angermeyer, MC, E.S.M. Investigators (2009). Is it always the same? Variability of depressive symptoms across six European countries. Psychiatry Research 168, 137–144.Google Scholar
Bourin, M, Prica, C (2009). Melatonin receptor agonist agomelatine: a new drug for treating unipolar depression. Current Pharmaceutical Design 15, 1675–1682.CrossRefGoogle ScholarPubMed
Bulik-Sullivan, BK, Loh, PR, Finucane, HK, Ripke, S, Yang, J; Schizophrenia Working Group of the Psychiatric Genomics Consortium, Patterson, N, Daly, MJ, Price, AL, Neale, BM (2015). LD Score regression distinguishes confounding from polygenicity in genome-wide association studies. Nature Genetics 47, 291–295.CrossRefGoogle ScholarPubMed
Carleton, RN, Thibodeau, MA, Teale, MJ, Welch, PG, Abrams, MP, Robinson, T, Asmundson, GJ (2013). The Center for Epidemiologic Studies Depression Scale: a review with a theoretical and empirical examination of item content and factor structure. PLOS ONE 8, e58067.Google Scholar
Carman, JS, Post, RM, Buswell, R, Goodwin, FK (1976). Negative effects of melatonin on depression. American Journal of Psychiatry 133, 1181–1186.Google ScholarPubMed
Cesari, M, Penninx, BW, Newman, AB, Kritchevsky, SB, Nicklas, BJ, Sutton-Tyrrell, K, Tracy, RP, Rubin, SM, Harris, TB, Pahor, M (2003). Inflammatory markers and cardiovascular disease (The Health, Aging and Body Composition [Health ABC] Study). American Journal of Cardiology 92, 522–528.Google Scholar
CONVERGE Consortium (2015). Sparse whole-genome sequencing identifies two loci for major depressive disorder. Nature 523, 588–591.Google Scholar
Dawber, TR, Meadors, GF, Moore, FE Jr. (1951). Epidemiological approaches to heart disease: the Framingham Study. American Journal of Public Health and the Nation's Health 41, 279–281.Google Scholar
Demirkan, A, Penninx, BW, Hek, K, Wray, NR, Amin, N, Aulchenko, YS, van Dyck, R, de Geus, EJ, Hofman, A, Uitterlinden, AG, Hottenga, JJ, Nolen, WA, Oostra, BA, Sullivan, PF, Willemsen, G, Zitman, FG, Tiemeier, H, Janssens, AC, Boomsma, DI, van Duijn, CM, Middeldorp, CM (2011). Genetic risk profiles for depression and anxiety in adult and elderly cohorts. Molecular Psychiatry 16, 773–783.CrossRefGoogle ScholarPubMed
Feinleib, M, Kannel, WB, Garrison, RJ, McNamara, PM, Castelli, WP (1975). The Framingham Offspring Study. Design and preliminary data. Preventive Medicine 4, 518–525.CrossRefGoogle ScholarPubMed
Gałecka, E, Szemraj, J, Florkowski, A, Gałecki, P, Bieńkiewicz, M, Karbownik-Lewińska, M, Lewiński, A (2011). Single nucleotide polymorphisms and mRNA expression for melatonin MT2 receptor in depression. Psychiatry Research 189, 472–474.Google Scholar
Goldstein, JA (1985). Melatonin as depression marker. Biological Psychiatry 20, 585.Google Scholar
Hek, K, Demirkan, A, Lahti, J, Terracciano, A, Teumer, A, Cornelis, MC, Amin, N, Bakshis, E, Baumert, J, Ding, J, Liu, Y, Marciante, K, Meirelles, O, Nalls, MA, Sun, YV, Vogelzangs, N, Yu, L, Bandinelli, S, Benjamin, EJ, Bennett, DA, Boomsma, D, Cannas, A, Coker, LH, de Geus, E, De Jager, PL, Diez-Roux, AV, Purcell, S, Hu, FB, Rimm, EB, Hunter, DJ, Jensen, MK, Curhan, G, Rice, K, Penman, AD, Rotter, JI, Sotoodehnia, N, Emeny, R, Eriksson, JG, Evans, DA, Ferrucci, L, Fornage, M, Gudnason, V, Hofman, A, Illig, T, Kardia, S, Kelly-Hayes, M, Koenen, K, Kraft, P, Kuningas, M, Massaro, JM, Melzer, D, Mulas, A, Mulder, CL, Murray, A, Oostra, BA, Palotie, A, Penninx, B, Petersmann, A, Pilling, LC, Psaty, B, Rawal, R, Reiman, EM, Schulz, A, Shulman, JM, Singleton, AB, Smith, AV, Sutin, AR, Uitterlinden, AG, Volzke, H, Widen, E, Yaffe, K, Zonderman, AB, Cucca, F, Harris, T, Ladwig, KH, Llewellyn, DJ, Raikkonen, K, Tanaka, T, van Duijn, CM, Grabe, HJ, Launer, LJ, Lunetta, KL, Mosley, TH Jr., Newman, AB, Tiemeier, H, Murabito, J (2013). A genome-wide association study of depressive symptoms. Biological Psychiatry 73, 667–678.Google Scholar
Hill, SM, Cheng, C, Yuan, L, Mao, L, Jockers, R, Dauchy, B, Blask, DE (2013). Age-related decline in melatonin and its MT1 receptor are associated with decreased sensitivity to melatonin and enhanced mammary tumor growth. Current Aging Science 6, 125–133.CrossRefGoogle ScholarPubMed
Hofman, A, van Duijn, CM, Franco, OH, Ikram, MA, Janssen, HL, Klaver, CC, Kuipers, EJ, Nijsten, TE, Stricker, BH, Tiemeier, H, Uitterlinden, AG, Vernooij, MW, Witteman, JC (2011). The Rotterdam Study: 2012 objectives and design update. European Journal of Epidemiology 26, 657–686.CrossRefGoogle ScholarPubMed
Jang, KL, Livesley, WJ, Taylor, S, Stein, MB, Moon, EC (2004). Heritability of individual depressive symptoms. Journal of Affective Disorders 80, 125–133.Google Scholar
Juster, FT, Suzman, R (1995). An overview of the Health and Retirement Study. Journal of Human Resources 30 (Suppl.), S7–S56.Google Scholar
Keers, R, Uher, R (2012). Gene–environment interaction in major depression and antidepressant treatment response. Current Psychiatry Reports 14, 129–137.Google Scholar
Kohli, MA, Lucae, S, Saemann, PG, Schmidt, MV, Demirkan, A, Hek, K, Czamara, D, Alexander, M, Salyakina, D, Ripke, S, Hoehn, D, Specht, M, Menke, A, Hennings, J, Heck, A, Wolf, C, Ising, M, Schreiber, S, Czisch, M, Muller, MB, Uhr, M, Bettecken, T, Becker, A, Schramm, J, Rietschel, M, Maier, W, Bradley, B, Ressler, KJ, Nothen, MM, Cichon, S, Craig, IW, Breen, G, Lewis, CM, Hofman, A, Tiemeier, H, van Duijn, CM, Holsboer, F, Muller-Myhsok, B, Binder, EB (2011). The neuronal transporter gene SLC6A15 confers risk to major depression. Neuron 70, 252–265.Google Scholar
López-León, S, Aulchenko, YS, Tiemeier, H, Oostra, BA, van Duijn, CM, Janssens, AC (2010). Shared genetic factors in the co-occurrence of symptoms of depression and cardiovascular risk factors. Journal of Affective Disorders 122, 247–252.CrossRefGoogle ScholarPubMed
López-León, S, Chi Choy, W, Aulchenko, YS, Claes, SJ, Oostra, BA, Mackenbach, JP, van Duijn, CM, Janssens, ACJW (2009). Genetic factors influence the clustering of depression among individuals with lower socioeconomic status. PLoS ONE 4, e5069.CrossRefGoogle ScholarPubMed
Major Depressive Disorder Working Group of the Psychiatric GWAS Consortium, Ripke, S, Wray, NR, Lewis, CM, Hamilton, SP, Weissman, MM, Breen, G, Byrne, EM, Blackwood, DH, Boomsma, DI, Cichon, S, Heath, AC, Holsboer, F, Lucae, S, Madden, PA, Martin, NG, McGuffin, P, Muglia, P, Noethen, MM, Penninx, BP, Pergadia, ML, Potash, JB, Rietschel, M, Lin, D, Muller-Myhsok, B, Shi, J, Steinberg, S, Grabe, HJ, Lichtenstein, P, Magnusson, P, Perlis, RH, Preisig, M, Smoller, JW, Stefansson, K, Uher, R, Kutalik, Z, Tansey, KE, Teumer, A, Viktorin, A, Barnes, MR, Bettecken, T, Binder, EB, Breuer, R, Castro, VM, Churchill, SE, Coryell, WH, Craddock, N, Craig, IW, Czamara, D, De Geus, EJ, Degenhardt, F, Farmer, AE, Fava, M, Frank, J, Gainer, VS, Gallagher, PJ, Gordon, SD, Goryachev, S, Gross, M, Guipponi, M, Henders, AK, Herms, S, Hickie, IB, Hoefels, S, Hoogendijk, W, Hottenga, JJ, Iosifescu, DV, Ising, M, Jones, I, Jones, L, Jung-Ying, T, Knowles, JA, Kohane, IS, Kohli, MA, Korszun, A, Landen, M, Lawson, WB, Lewis, G, Macintyre, D, Maier, W, Mattheisen, M, McGrath, PJ, McIntosh, A, McLean, A, Middeldorp, CM, Middleton, L, Montgomery, GM, Murphy, SN, Nauck, M, Nolen, WA, Nyholt, DR, O'Donovan, M, Oskarsson, H, Pedersen, N, Scheftner, WA, Schulz, A, Schulze, TG, Shyn, SI, Sigurdsson, E, Slager, SL, Smit, JH, Stefansson, H, Steffens, M, Thorgeirsson, T, Tozzi, F, Treutlein, J, Uhr, M, van den Oord, EJ, Van Grootheest, G, Volzke, H, Weilburg, JB, Willemsen, G, Zitman, FG, Neale, B, Daly, M, Levinson, DF, Sullivan, PF (2013). A mega-analysis of genome-wide association studies for major depressive disorder. Molecular Psychiatry 18, 497–511.Google ScholarPubMed
Muglia, P, Tozzi, F, Galwey, NW, Francks, C, Upmanyu, R, Kong, XQ, Antoniades, A, Domenici, E, Perry, J, Rothen, S, Vandeleur, CL, Mooser, V, Waeber, G, Vollenweider, P, Preisig, M, Lucae, S, Muller-Myhsok, B, Holsboer, F, Middleton, LT, Roses, AD (2008). Genome-wide association study of recurrent major depressive disorder in two European case–control cohorts. Molecular Psychiatry 15, 589–601.Google Scholar
National Institute for Clinical Excellence (2003). NICE Draft Guidelines. Depression: the Management of Depression in Primary and Secondary Care. National Institute for Clinical Excellence: London.Google Scholar
Pandi-Perumal, SR, Trakht, I, Srinivasan, V, Spence, DW, Maestroni, GJ, Zisapel, N, Cardinali, DP (2008). Physiological effects of melatonin: role of melatonin receptors and signal transduction pathways. Progress in Neurobiology 85, 335–353.CrossRefGoogle ScholarPubMed
Pfaffenrath, V, Fendrich, K, Vennemann, M, Meisinger, C, Ladwig, KH, Evers, S, Straube, A, Hoffmann, W, Berger, K (2009). Regional variations in the prevalence of migraine and tension-type headache applying the new IHS criteria: the German DMKG Headache Study. Cephalalgia 29, 48–57.CrossRefGoogle ScholarPubMed
Pilia, G, Chen, WM, Scuteri, A, Orru, M, Albai, G, Dei, M, Lai, S, Usala, G, Lai, M, Loi, P, Mameli, C, Vacca, L, Deiana, M, Olla, N, Masala, M, Cao, A, Najjar, SS, Terracciano, A, Nedorezov, T, Sharov, A, Zonderman, AB, Abecasis, GR, Costa, P, Lakatta, E, Schlessinger, D (2006). Heritability of cardiovascular and personality traits in 6,148 Sardinians. PLoS Genetics 2, e132.Google Scholar
Psaty, BM, O'Donnell, CJ, Gudnason, V, Lunetta, KL, Folsom, AR, Rotter, JI, Uitterlinden, AG, Harris, TB, Witteman, JC, Boerwinkle, E; CHARGE Consortium (2009). Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: design of prospective meta-analyses of genome-wide association studies from 5 cohorts. Circulation: Cardiovascular Genetics 2, 73–80.Google Scholar
Psychiatric GWAS Case Control Consortium, Cichon, S, Craddock, N, Daly, M, Faraone, SV, Gejman, PV, Kelsoe, J, Lehner, T, Levinson, DF, Moran, A, Sklar, P, Sullivan, PF (2009). Genomewide association studies: history, rationale, and prospects for psychiatric disorders. American Journal of Psychiatry 166, 540–556.Google Scholar
Purcell, S, Neale, B, Todd-Brown, K, Thomas, L, Ferreira, MA, Bender, D, Maller, J, Sklar, P, de Bakker, PI, Daly, MJ, Sham, PC (2007). PLINK: a tool set for whole-genome association and population-based linkage analyses. American Journal of Human Genetics 81, 559–575.Google Scholar
Radloff, LS (1977). The CES-D scale: a self-report depression scale for research in the general population. Applied Psychological Measurement 3, 385–401.CrossRefGoogle Scholar
Rahman, I, Bennet, AM, Pedersen, NL, de Faire, U, Svensson, P, Magnusson, PK (2009). Genetic dominance influences blood biomarker levels in a sample of 12,000 Swedish elderly twins. Twin Research and Human Genetics 12, 286–294.Google Scholar
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, Hagg, 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, Volzke, 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, Bultmann, 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, Eiriksdottir, G, Elderson, MF, Eriksson, JG, Evans, DM, Faul, JD, Ferrucci, L, Garcia, ME, Gronberg, H, Guethnason, 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, Jarvelin, MR, Kahonen, M, Kaprio, J, Kirkpatrick, RM, Kowgier, M, Latvala, A, Launer, LJ, Lawlor, DA, Lehtimaki, T, Li, J, Lichtenstein, P, Lichtner, P, Liewald, DC, Madden, PA, Magnusson, PK, Makinen, 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, Raikkonen, 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, S. LifeLines Cohort, 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 (2013). GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science 340, 1467–1471.Google Scholar
Simino, J, Shi, G, Bis, JC, Chasman, DI, Ehret, GB, Gu, X, Guo, X, Hwang, SJ, Sijbrands, E, Smith, AV, Verwoert, GC, Bragg-Gresham, JL, Cadby, G, Chen, P, Cheng, CY, Corre, T, de Boer, RA, Goel, A, Johnson, T, Khor, CC, S. LifeLines Cohort, Lluis-Ganella, C, Luan, J, Lyytikainen, LP, Nolte, IM, Sim, X, Sober, S, van der Most, PJ, Verweij, N, Zhao, JH, Amin, N, Boerwinkle, E, Bouchard, C, Dehghan, A, Eiriksdottir, G, Elosua, R, Franco, OH, Gieger, C, Harris, TB, Hercberg, S, Hofman, A, James, AL, Johnson, AD, Kahonen, M, Khaw, KT, Kutalik, Z, Larson, MG, Launer, LJ, Li, G, Liu, J, Liu, K, Morrison, AC, Navis, G, Ong, RT, Papanicolau, GJ, Penninx, BW, Psaty, BM, Raffel, LJ, Raitakari, OT, Rice, K, Rivadeneira, F, Rose, LM, Sanna, S, Scott, RA, Siscovick, DS, Stolk, RP, Uitterlinden, AG, Vaidya, D, van der Klauw, MM, Vasan, RS, Vithana, EN, Volker, U, Volzke, H, Watkins, H, Young, TL, Aung, T, Bochud, M, Farrall, M, Hartman, CA, Laan, M, Lakatta, EG, Lehtimaki, T, Loos, RJ, Lucas, G, Meneton, P, Palmer, LJ, Rettig, R, Snieder, H, Tai, ES, Teo, YY, van der Harst, P, Wareham, NJ, Wijmenga, C, Wong, TY, Fornage, M, Gudnason, V, Levy, D, Palmas, W, Ridker, PM, Rotter, JI, van Duijn, CM, Witteman, JC, Chakravarti, A, Rao, DC (2014). Gene–age interactions in blood pressure regulation: a large-scale investigation with the CHARGE, Global BPgen, and ICBP Consortia. American Journal of Human Genetics 95, 24–38.Google Scholar
Splansky, GL, Corey, D, Yang, Q, Atwood, LD, Cupples, LA, Benjamin, EJ, D'Agostino, RB Sr., Fox, CS, Larson, MG, Murabito, JM, O'Donnell, CJ, Vasan, RS, Wolf, PA, Levy, D (2007). The Third Generation Cohort of the National Heart, Lung, and Blood Institute's Framingham Heart Study: design, recruitment, and initial examination. American Journal of Epidemiology 165, 1328–1335.Google Scholar
Sullivan, PF, de Geus, EJ, Willemsen, G, James, MR, Smit, JH, Zandbelt, T, Arolt, V, Baune, BT, Blackwood, D, Cichon, S, Coventry, WL, Domschke, K, Farmer, A, Fava, M, Gordon, SD, He, Q, Heath, AC, Heutink, P, Holsboer, F, Hoogendijk, WJ, Hottenga, JJ, Hu, Y, Kohli, M, Lin, D, Lucae, S, Macintyre, DJ, Maier, W, McGhee, KA, McGuffin, P, Montgomery, GW, Muir, WJ, Nolen, WA, Nothen, MM, Perlis, RH, Pirlo, K, Posthuma, D, Rietschel, M, Rizzu, P, Schosser, A, Smit, AB, Smoller, JW, Tzeng, JY, van Dyck, R, Verhage, M, Zitman, FG, Martin, NG, Wray, NR, Boomsma, DI, Penninx, BW (2009). Genome-wide association for major depressive disorder: a possible role for the presynaptic protein piccolo. Molecular Psychiatry 14, 359–375.Google Scholar
Sullivan, PF, Neale, MC, Kendler, KS (2000). Genetic epidemiology of major depression: review and meta-analysis. American Journal of Psychiatry 157, 1552–1562.Google Scholar
Sutin, AR, Zonderman, AB (2012). Depressive symptoms are associated with weight gain among women. Psychological Medicine 42, 2351–2360.Google Scholar
Teslovich, TM, Musunuru, K, Smith, AV, Edmondson, AC, Stylianou, IM, Koseki, M, Pirruccello, JP, Ripatti, S, Chasman, DI, Willer, CJ, Johansen, CT, Fouchier, SW, Isaacs, A, Peloso, GM, Barbalic, M, Ricketts, SL, Bis, JC, Aulchenko, YS, Thorleifsson, G, Feitosa, MF, Chambers, J, Orho-Melander, M, Melander, O, Johnson, T, Li, X, Guo, X, Li, M, Shin Cho, Y, Jin Go, M, Jin Kim, Y, Lee, JY, Park, T, Kim, K, Sim, X, Twee-Hee Ong, R, Croteau-Chonka, DC, Lange, LA, Smith, JD, Song, K, Hua Zhao, J, Yuan, X, Luan, J, Lamina, C, Ziegler, A, Zhang, W, Zee, RY, Wright, AF, Witteman, JC, Wilson, JF, Willemsen, G, Wichmann, HE, Whitfield, JB, Waterworth, DM, Wareham, NJ, Waeber, G, Vollenweider, P, Voight, BF, Vitart, V, Uitterlinden, AG, Uda, M, Tuomilehto, J, Thompson, JR, Tanaka, T, Surakka, I, Stringham, HM, Spector, TD, Soranzo, N, Smit, JH, Sinisalo, J, Silander, K, Sijbrands, EJ, Scuteri, A, Scott, J, Schlessinger, D, Sanna, S, Salomaa, V, Saharinen, J, Sabatti, C, Ruokonen, A, Rudan, I, Rose, LM, Roberts, R, Rieder, M, Psaty, BM, Pramstaller, PP, Pichler, I, Perola, M, Penninx, BW, Pedersen, NL, Pattaro, C, Parker, AN, Pare, G, Oostra, BA, O'Donnell, CJ, Nieminen, MS, Nickerson, DA, Montgomery, GW, Meitinger, T, McPherson, R, McCarthy, MI, McArdle, W, Masson, D, Martin, NG, Marroni, F, Mangino, M, Magnusson, PK, Lucas, G, Luben, R, Loos, RJ, Lokki, ML, Lettre, G, Langenberg, C, Launer, LJ, Lakatta, EG, Laaksonen, R, Kyvik, KO, Kronenberg, F, Konig, IR, Khaw, KT, Kaprio, J, Kaplan, LM, Johansson, A, Jarvelin, MR, Janssens, AC, Ingelsson, E, Igl, W, Kees Hovingh, G, Hottenga, JJ, Hofman, A, Hicks, AA, Hengstenberg, C, Heid, IM, Hayward, C, Havulinna, AS, Hastie, ND, Harris, TB, Haritunians, T, Hall, AS, Gyllensten, U, Guiducci, C, Groop, LC, Gonzalez, E, Gieger, C, Freimer, NB, Ferrucci, L, Erdmann, J, Elliott, P, Ejebe, KG, Doring, A, Dominiczak, AF, Demissie, S, Deloukas, P, de Geus, EJ, de Faire, U, Crawford, G, Collins, FS, Chen, YD, Caulfield, MJ, Campbell, H, Burtt, NP, Bonnycastle, LL, Boomsma, DI, Boekholdt, SM, Bergman, RN, Barroso, I, Bandinelli, S, Ballantyne, CM, Assimes, TL, Quertermous, T, Altshuler, D, Seielstad, M, Wong, TY, Tai, ES, Feranil, AB, Kuzawa, CW, Adair, LS, Taylor, HA Jr., Borecki, IB, Gabriel, SB, Wilson, JG, Holm, H, Thorsteinsdottir, U, Gudnason, V, Krauss, RM, Mohlke, KL, Ordovas, JM, Munroe, PB, Kooner, JS, Tall, AR, Hegele, RA, Kastelein, JJ, Schadt, EE, Rotter, JI, Boerwinkle, E, Strachan, DP, Mooser, V, Stefansson, K, Reilly, MP, Samani, NJ, Schunkert, H, Cupples, LA, Sandhu, MS, Ridker, PM, Rader, DJ, van Duijn, CM, Peltonen, L, Abecasis, GR, Boehnke, M, Kathiresan, S (2010). Biological, clinical and population relevance of 95 loci for blood lipids. Nature 466, 707–713.CrossRefGoogle ScholarPubMed
van der Sluis, S, Posthuma, D, Nivard, MG, Verhage, M, Dolan, CV (2013). Power in GWAS: lifting the curse of the clinical cut-off. Molecular Psychiatry 18, 2–3.Google Scholar
Vartiainen, E, Laatikainen, T, Peltonen, M, Juolevi, A, Männistö, S, Sundvall, J, Jousilahti, P, Salomaa, V, Valsta, L, Puska, P (2010). Thirty-five-year trends in cardiovascular risk factors in Finland. International Journal of Epidemiology 39, 504–518.Google Scholar
Vennemann, MM, Hummel, T, Berger, K (2008). The association between smoking and smell and taste impairment in the general population. Journal of Neurology 255, 1121–1126.Google Scholar
Weir, D (chapter editor) (2008). Biosocial Surveys. Committee on Advances in Collecting and Utilizing Biological Indicators and Genetic Information in Social Science Surveys. National Academies Press: Washington, DC.Google Scholar
Wetterberg, L, Beck-Friis, J, Kjellman, BF, Ljunggren, JG (1984). Circadian rhythms in melatonin and cortisol secretion in depression. Advances in Biochemical Psychopharmacology 39, 197–205.Google Scholar
Willer, C, Li, Y, Abecasis, G (2010). METAL: fast and efficient meta-analysis of genomewide association scans. Bioinformatics 26, 2190–2191.Google Scholar
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