Gerome Breen
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Gerome Breen

Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London

Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 April 2018 in Nature Genetics
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Journal Article
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NWNaomi R. Wray
Naomi R. Wray
SRStephan Ripke
Stephan Ripke
MMManuel Mattheisen
Manuel Mattheisen
MTMaciej Trzaskowski
Maciej Trzaskowski
EBEnda M. Byrne
Enda M. Byrne
EQEqtlgen
Eqtlgen
Major depressive disorder (MDD) is a common illness accompanied by considerable morbidity, mortality, costs, and heightened risk of suicide. We conducted a genome-wide association meta-analysis based in 135,458 cases and 344,901 controls and identified 44 independent and significant loci. The genetic findings were associated with clinical features of major depression and implicated brain regions exhibiting anatomical differences in cases. Targets of antidepressant medications and genes involved in gene splicing were enriched for smaller association signal. We found important relationships of genetic risk for major depression with educational attainment, body mass, and schizophrenia: lower educational attainment and higher body mass were putatively causal, whereas major depression and schizophrenia reflected a partly shared biological etiology. All humans carry lesser or greater numbers of genetic risk factors for major depression. These findings help refine the basis of major depression and imply that a continuous measure of risk underlies the clinical phenotype.

4 February 2019 in Nature Neuroscience
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DHDavid M. Howard
David M. Howard
MAMark J. Adams
Mark J. Adams
TCToni-Kim Clarke
Toni-Kim Clarke
JHJonathan D. Hafferty
Jonathan D. Hafferty
JGJude Gibson
Jude Gibson
AMAndrew M. McIntosh
Andrew M. McIntosh
Major depression is a debilitating psychiatric illness that is typically associated with low mood and anhedonia. Depression has a heritable component that has remained difficult to elucidate with current sample sizes due to the polygenic nature of the disorder. To maximize sample size, we meta-analyzed data on 807,553 individuals (246,363 cases and 561,190 controls) from the three largest genome-wide association studies of depression. We identified 102 independent variants, 269 genes, and 15 genesets associated with depression, including both genes and gene pathways associated with synaptic structure and neurotransmission. An enrichment analysis provided further evidence of the importance of prefrontal brain regions. In an independent replication sample of 1,306,354 individuals (414,055 cases and 892,299 controls), 87 of the 102 associated variants were significant after multiple testing correction. These findings advance our understanding of the complex genetic architecture of depression and provide several future avenues for understanding etiology and developing new treatment approaches.

26 February 2018 in Nature Genetics
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APAntonio F. Pardiñas
Antonio F. Pardiñas
PHPeter Holmans
Peter Holmans
APAndrew J. Pocklington
Andrew J. Pocklington
VEValentina Escott-Price
Valentina Escott-Price
SRStephan Ripke
Stephan Ripke
JWJames T. R. Walters
James T. R. Walters

1 May 2019 in Nature Genetics
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ECeQTLGen Consortium
eQTLGen Consortium
ESEli A. Stahl
Eli A. Stahl
BCBIOS Consortium
BIOS Consortium
TCthe Bipolar Disorder Working Group of the Psychiatric Genomics Consortium
the Bipolar Disorder Working Group of the Psychiatric Genomics Consortium
GBGerome Breen
Gerome Breen
PSPamela Sklar
Pamela Sklar
Bipolar disorder is a highly heritable psychiatric disorder. We performed a genome-wide association study (GWAS) including 20,352 cases and 31,358 controls of European descent, with follow-up analysis of 822 variants with P < 1 × 10−4 in an additional 9,412 cases and 137,760 controls. Eight of the 19 variants that were genome-wide significant (P < 5 × 10−8) in the discovery GWAS were not genome-wide significant in the combined analysis, consistent with small effect sizes and limited power but also with genetic heterogeneity. In the combined analysis, 30 loci were genome-wide significant, including 20 newly identified loci. The significant loci contain genes encoding ion channels, neurotransmitter transporters and synaptic components. Pathway analysis revealed nine significantly enriched gene sets, including regulation of insulin secretion and endocannabinoid signaling. Bipolar I disorder is strongly genetically correlated with schizophrenia, driven by psychosis, whereas bipolar II disorder is more strongly correlated with major depressive disorder. These findings address key clinical questions and provide potential biological mechanisms for bipolar disorder.

22 June 2018 in Science
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TCThe Brainstorm Consortium
The Brainstorm Consortium
VAVerneri Anttila
Verneri Anttila
BBBrendan Bulik-Sullivan
Brendan Bulik-Sullivan
HFHilary K. Finucane
Hilary K. Finucane
RWRaymond K. Walters
Raymond K. Walters
BNBenjamin M. Neale
Benjamin M. Neale
Brainstorming diseases: Consistent classification of neuropsychiatric diseases is problematic because it can lead to misunderstanding of etiology. The Brainstorm Consortium examined multiple genome-wide association studies drawn from more than 200,000 patients for 25 brain-associated disorders and 17 phenotypes. Broadly, it appears that psychiatric and neurologic disorders share relatively little common genetic risk. However, different and independent pathways can result in similar clinical manifestations (e.g., psychosis, which occurs in both schizophrenia and Alzheimer's disease). Schizophrenia correlated with many psychiatric disorders, whereas the immunopathological affliction Crohn's disease did not, and posttraumatic stress syndrome was also largely independent of underlying traits. Essentially, the earlier the onset of a disorder, the more inheritable it appeared to be. Science , this issue p. eaap8757

18 September 2011 in Nature Genetics
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PGPsychiatric GWAS Consortium Bipolar Disorder Working Group
Psychiatric GWAS Consortium Bipolar Disorder Working Group
PSPamela Sklar
Pamela Sklar
SRStephan Ripke
Stephan Ripke
LSLaura J Scott
Laura J Scott
OAOle A Andreassen
Ole A Andreassen
SPShaun M Purcell
Shaun M Purcell