Sort by: Order: Results:

Now showing items 1-3 of 3
  • Direk, Nese; Williams, Stephanie; Smith, Jennifer A.; Ripke, Stephan; Air, Tracy; Amare, Azmeraw T.; Amin, Najaf; Baune, Bernhard T.; Bennett, David A.; Blackwood, Douglas H. R.; Boomsma, Dorret; Breen, Gerome; Buttenschon, Henriette N.; Byrne, Enda M.; Borglum, Anders D.; Castelao, Enrique; Cichon, Sven; Clarke, Toni-Kim; Cornelis, Marilyn C.; Dannlowski, Udo; De Jager, Philip L.; Demirkan, Ayse; Domenici, Enrico; van Duijn, Cornelia M.; Dunn, Erin C.; Eriksson, Johan G.; Esko, Tonu; Faul, Jessica D.; Ferrucci, Luigi; Fornage, Myriam; de Geus, Eco; Gill, Michael; Gordon, Scott D.; Grabe, Hans Joergen; van Grootheest, Gerard; Hamilton, Steven P.; Hartman, Catharina A.; Heath, Andrew C.; Hek, Karin; Hofman, Albert; Homuth, Georg; Horn, Carsten; Hottenga, Jouke Jan; Kardia, Sharon L. R.; Kloiber, Stefan; Koenen, Karestan; Kutalik, Zoltan; Ladwig, Karl-Heinz; Lahti, Jari; Levinson, Douglas F.; Lewis, Cathryn M.; Lewis, Glyn; Li, Qingqin S.; Llewellyn, David J.; Lucae, Susanne; Lunetta, Kathryn L.; MacIntyre, Donald J.; Madden, Pamela; Martin, Nicholas G.; McIntosh, Andrew M.; Metspalu, Andres; Milaneschi, Yuri; Montgomery, Grant W.; Mors, Ole; Mosley, Thomas H.; Murabito, Joanne M.; Mueller-Myhsok, Bertram; Nothen, Markus M.; Nyholt, Dale R.; O'Donovan, Michael C.; Penninx, Brenda W.; Pergadia, Michele L.; Perlis, Roy; Potash, James B.; Preisig, Martin; Purcell, Shaun M.; Quiroz, Jorge A.; Raikkonen, Katri; Rice, John P.; Rietschel, Marcella; Rivera, Margarita; Schulze, Thomas G.; Shi, Jianxin; Shyn, Stanley; Sinnamon, Grant C.; Smit, Johannes H.; Smoller, Jordan W.; Snieder, Harold; Tanaka, Toshiko; Tansey, Katherine E.; Teumer, Alexander; Uher, Rudolf; Umbricht, Daniel; Van der Auwera, Sandra; Ware, Erin B.; Weir, David R.; Weissman, Myrna M.; Willemsen, Gonneke; Yang, Jingyun; Zhao, Wei; Tiemeier, Henning; Sullivan, Patrick F. (2017)
    BACKGROUND: The genetics of depression has been explored in genome-wide association studies that focused on either major depressive disorder or depressive symptoms with mostly negative findings. A broad depression phenotype including both phenotypes has not been tested previously using a genome-wide association approach. We aimed to identify genetic polymorphisms significantly associated with a broad phenotype from depressive symptoms to major depressive disorder. METHODS: We analyzed two prior studies of 70,017 participants of European ancestry from general and clinical populations in the discovery stage. We performed a replication meta-analysis of 28,328 participants. Single nucleotide polymorphism (SNP)-based heritability and genetic correlations were calculated using linkage disequilibrium score regression. Discovery and replication analyses were performed using a p-value-based meta-analysis. Lifetime major depressive disorder and depressive symptom scores were used as the outcome measures. RESULTS: The SNP-based heritability of major depressive disorder was 0.21 (SE = 0.02), the SNP-based heritability of depressive symptoms was 0.04 (SE = 0.01), and their genetic correlation was 1.001 (SE = 0.2). We found one genome-wide significant locus related to the broad depression phenotype (rs9825823, chromosome 3: 61,082,153, p = 8.2 x 10(-9)) located in an intron of the FHIT gene. We replicated this SNP in independent samples (p = .02) and the overall meta-analysis of the discovery and replication cohorts (1.0 x 10(-9)). CONCLUSIONS: This large study identified a new locus for depression. Our results support a continuum between depressive symptoms and major depressive disorder. A phenotypically more inclusive approach may help to achieve the large sample sizes needed to detect susceptibility loci for depression.
  • Aaltonen, Kari; Naatanen, Petri; Heikkinen, Martti; Koivisto, Maaria; Baryshnikoy, Ilya; Karpov, Boris; Oksanen, Jorma; Melartin, Tarja; Suominen, Kirsi; Joffe, Grigori; Paunio, Tiina; Isometsa, Erkki (2016)
    Background: Substantial literature exists on risk factors for suicidal behaviour. However, their comparative strength, independence and specificity for either suicidal ideation or suicide attempt(s) remain unclear. Methods: The Helsinki University Psychiatric Consortium (HUPC) Study surveyed 287 psychiatric care patients with ICD-10-DCR depressive or bipolar disorders about lifetime suicidal behaviour, developmental history and attachment style, personality and psychological traits, current and lifetime symptom profiles, and life events. Psychiatric records were used to confirm diagnosis and complement information on suicide attempts. Multinomial regression models predicting lifetime suicidal ideation and single or repeated suicide attempts were generated. Results: Overall, 21.6% patients had no lifetime suicidal behaviour, 33.8% had lifetime suicide ideation without attempts, and 17.1% had a single and 27.5% repeated suicide attempts. In univariate analyses, lifetime suicidal behaviour was associated with numerous factors. In multivariate models, suicidal ideation was independently predicted by younger age, severe depressive disorder, bipolar disorder type II/nos, hopelessness, and childhood physical abuse. Repeated suicide attempts were independently predicted by younger age, female sex, severe depressive disorder with or without psychotic symptoms, bipolar disorder type II/nos, alcohol use disorder, borderline personality disorder traits, and childhood physical abuse. Limitations: Cross-sectional and retrospective study design, utilization of clinical diagnoses, and relatively low response rate. Conclusions: Risk factors for suicidal ideation and attempts may diverge both qualitatively and in terms of dose response. When effects of risk factors from multiple domains are concurrently examined, proximal clinical characteristics remain the most robust. All risk factors cluster into the group of repeated attempters. (C) 2015 Elsevier B.V. All rights reserved.
  • Liskola, Krista; Raaska, Hanna; Lapinleimu, Helena; Elovainio, Marko (2018)
    Parental depressive symptoms have shown to be associated with offspring depression but much of the research has been focused on maternal depression. The aim of our study was to investigate the extent to which depressive symptoms of both parents associate with offspring depressive symptoms and whether social factors mediate these associations using data from adopted children with no shared genetic background. Data were derived from the Finnish Adoption survey study (a subsample of adopted children aged between 9 and 12years, n=548). Parental depressive symptoms were measured using short version of the General Health Questionnaire and Children's Depression Inventory (CDI) was used to measure depressive symptoms in adoptees. Paternal depressive symptoms were related to the total CDI (B=0.33, p=0.05) and two dimensions of offspring depressive symptoms: negative mood (B=0.10, p=0.03) and interpersonal problems (B=0.06, p=0.009). These associations remained significant even when adjusted for child's age and gender, age at adoption, type of placement before adoption, continent of birth and adoptive family's SES. No associations were found between maternal and any dimensions of offspring depressive symptoms. No information about the mental health of biological parents was available. We interpret the results as demonstrating that intergenerational transmission of depressive symptoms is not solely related to shared genes. Also, the results highlight the association of paternal depression with offspring depressive symptoms.