Meta-analysis of Genome-wide Association Studies for Neuroticism, and the Polygenic Association With Major Depressive Disorder.

نویسندگان

  • Marleen H M de Moor
  • Stéphanie M van den Berg
  • Karin J H Verweij
  • Robert F Krueger
  • Michelle Luciano
  • Alejandro Arias Vasquez
  • Lindsay K Matteson
  • Jaime Derringer
  • Tõnu Esko
  • Najaf Amin
  • Scott D Gordon
  • Narelle K Hansell
  • Amy B Hart
  • Ilkka Seppälä
  • Jennifer E Huffman
  • Bettina Konte
  • Jari Lahti
  • Minyoung Lee
  • Mike Miller
  • Teresa Nutile
  • Toshiko Tanaka
  • Alexander Teumer
  • Alexander Viktorin
  • Juho Wedenoja
  • Goncalo R Abecasis
  • Daniel E Adkins
  • Arpana Agrawal
  • Jüri Allik
  • Katja Appel
  • Timothy B Bigdeli
  • Fabio Busonero
  • Harry Campbell
  • Paul T Costa
  • George Davey Smith
  • Gail Davies
  • Harriet de Wit
  • Jun Ding
  • Barbara E Engelhardt
  • Johan G Eriksson
  • Iryna O Fedko
  • Luigi Ferrucci
  • Barbara Franke
  • Ina Giegling
  • Richard Grucza
  • Annette M Hartmann
  • Andrew C Heath
  • Kati Heinonen
  • Anjali K Henders
  • Georg Homuth
  • Jouke-Jan Hottenga
  • William G Iacono
  • Joost Janzing
  • Markus Jokela
  • Robert Karlsson
  • John P Kemp
  • Matthew G Kirkpatrick
  • Antti Latvala
  • Terho Lehtimäki
  • David C Liewald
  • Pamela A F Madden
  • Chiara Magri
  • Patrik K E Magnusson
  • Jonathan Marten
  • Andrea Maschio
  • Sarah E Medland
  • Evelin Mihailov
  • Yuri Milaneschi
  • Grant W Montgomery
  • Matthias Nauck
  • Klaasjan G Ouwens
  • Aarno Palotie
  • Erik Pettersson
  • Ozren Polasek
  • Yong Qian
  • Laura Pulkki-Råback
  • Olli T Raitakari
  • Anu Realo
  • Richard J Rose
  • Daniela Ruggiero
  • Carsten O Schmidt
  • Wendy S Slutske
  • Rossella Sorice
  • John M Starr
  • Beate St Pourcain
  • Angelina R Sutin
  • Nicholas J Timpson
  • Holly Trochet
  • Sita Vermeulen
  • Eero Vuoksimaa
  • Elisabeth Widen
  • Jasper Wouda
  • Margaret J Wright
  • Lina Zgaga
  • David Porteous
  • Alessandra Minelli
  • Abraham A Palmer
  • Dan Rujescu
  • Marina Ciullo
  • Caroline Hayward
  • Igor Rudan
  • Andres Metspalu
  • Jaakko Kaprio
  • Ian J Deary
  • Katri Räikkönen
  • James F Wilson
  • Liisa Keltikangas-Järvinen
  • Laura J Bierut
  • John M Hettema
  • Hans J Grabe
  • Cornelia M van Duijn
  • David M Evans
  • David Schlessinger
  • Nancy L Pedersen
  • Antonio Terracciano
  • Matt McGue
  • Brenda W J H Penninx
  • Nicholas G Martin
  • Dorret I Boomsma
چکیده

IMPORTANCE Neuroticism is a pervasive risk factor for psychiatric conditions. It genetically overlaps with major depressive disorder (MDD) and is therefore an important phenotype for psychiatric genetics. The Genetics of Personality Consortium has created a resource for genome-wide association analyses of personality traits in more than 63,000 participants (including MDD cases). OBJECTIVES To identify genetic variants associated with neuroticism by performing a meta-analysis of genome-wide association results based on 1000 Genomes imputation; to evaluate whether common genetic variants as assessed by single-nucleotide polymorphisms (SNPs) explain variation in neuroticism by estimating SNP-based heritability; and to examine whether SNPs that predict neuroticism also predict MDD. DESIGN, SETTING, AND PARTICIPANTS Genome-wide association meta-analysis of 30 cohorts with genome-wide genotype, personality, and MDD data from the Genetics of Personality Consortium. The study included 63,661 participants from 29 discovery cohorts and 9786 participants from a replication cohort. Participants came from Europe, the United States, or Australia. Analyses were conducted between 2012 and 2014. MAIN OUTCOMES AND MEASURES Neuroticism scores harmonized across all 29 discovery cohorts by item response theory analysis, and clinical MDD case-control status in 2 of the cohorts. RESULTS A genome-wide significant SNP was found on 3p14 in MAGI1 (rs35855737; P = 9.26 × 10-9 in the discovery meta-analysis). This association was not replicated (P = .32), but the SNP was still genome-wide significant in the meta-analysis of all 30 cohorts (P = 2.38 × 10-8). Common genetic variants explain 15% of the variance in neuroticism. Polygenic scores based on the meta-analysis of neuroticism in 27 cohorts significantly predicted neuroticism (1.09 × 10-12 < P < .05) and MDD (4.02 × 10-9 < P < .05) in the 2 other cohorts. CONCLUSIONS AND RELEVANCE This study identifies a novel locus for neuroticism. The variant is located in a known gene that has been associated with bipolar disorder and schizophrenia in previous studies. In addition, the study shows that neuroticism is influenced by many genetic variants of small effect that are either common or tagged by common variants. These genetic variants also influence MDD. Future studies should confirm the role of the MAGI1 locus for neuroticism and further investigate the association of MAGI1 and the polygenic association to a range of other psychiatric disorders that are phenotypically correlated with neuroticism.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Meta-analysis of Genome-wide Association Studies for Neuroticism, and the Polygenic Association WithMajor Depressive Disorder

OBJECTIVES To identify genetic variants associated with neuroticism by performing a meta-analysis of genome-wide association results based on 1000 Genomes imputation; to evaluate whether common genetic variants as assessed by single-nucleotide polymorphisms (SNPs) explain variation in neuroticism by estimating SNP-based heritability; and to examine whether SNPs that predict neuroticism also pre...

متن کامل

Genetic relationships between suicide attempts, suicidal ideation and major psychiatric disorders: A genome-wide association and polygenic scoring study

Epidemiological studies have recognized a genetic diathesis for suicidal behavior, which is independent of other psychiatric disorders. Genome-wide association studies (GWAS) on suicide attempt (SA) and ideation have failed to identify specific genetic variants. Here, we conduct further GWAS and for the first time, use polygenic score analysis in cohorts of patients with mood disorders, to test...

متن کامل

Association of the Polygenic Scores for Personality Traits and Response to Selective Serotonin Reuptake Inhibitors in Patients with Major Depressive Disorder

Studies reported a strong genetic correlation between the Big Five personality traits and major depressive disorder (MDD). Moreover, personality traits are thought to be associated with response to antidepressants treatment that might partly be mediated by genetic factors. In this study, we examined whether polygenic scores (PGSs) derived from the Big Five personality traits predict treatment r...

متن کامل

Predicting Loneliness with Polygenic Scores of Social, Psychological, and Psychiatric Traits.

Loneliness is a heritable trait that accompanies multiple disorders. The association between loneliness and mental health indices may partly be due to inherited biological factors. We constructed polygenic scores for 27 traits related to behavior, cognition, and mental health and tested their prediction for self-reported loneliness in a population-based sample of 8,798 Dutch individuals. Polyge...

متن کامل

A Meta-Analysis of the Association between Leisure Participation and Depressive Symptoms among Older Adults

Background. Depression is one of the major public health concerns among older adults. Participation in preferred leisure activities has been found to be effective for reducing the symptoms of depression among this population. Objectives. The purpose of this study was to conduct a meta-analysis of the association between leisure participation and depression. Methods. A systematic review of Pub...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • JAMA psychiatry

دوره 72 7  شماره 

صفحات  -

تاریخ انتشار 2015