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

Overview of attention for article published in JAMA Psychiatry, July 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Title
Meta-analysis of Genome-wide Association Studies for Neuroticism, and the Polygenic Association With Major Depressive Disorder
Published in
JAMA Psychiatry, July 2015
DOI 10.1001/jamapsychiatry.2015.0554
Pubmed ID
Authors

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

Abstract

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). 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. 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. Neuroticism scores harmonized across all 29 discovery cohorts by item response theory analysis, and clinical MDD case-control status in 2 of the cohorts. 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. 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.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 470 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Malaysia 1 <1%
Sweden 1 <1%
Hungary 1 <1%
United Kingdom 1 <1%
Finland 1 <1%
Spain 1 <1%
Denmark 1 <1%
Unknown 460 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 81 17%
Researcher 71 15%
Student > Master 56 12%
Student > Bachelor 45 10%
Student > Doctoral Student 35 7%
Other 99 21%
Unknown 83 18%
Readers by discipline Count As %
Psychology 105 22%
Medicine and Dentistry 68 14%
Biochemistry, Genetics and Molecular Biology 53 11%
Agricultural and Biological Sciences 38 8%
Neuroscience 32 7%
Other 65 14%
Unknown 109 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 March 2024.
All research outputs
#1,296,315
of 25,837,817 outputs
Outputs from JAMA Psychiatry
#1,873
of 5,971 outputs
Outputs of similar age
#15,519
of 279,263 outputs
Outputs of similar age from JAMA Psychiatry
#28
of 66 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,971 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 70.7. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 279,263 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.