Naomi R. Wray
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Naomi R. Wray

Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia

Research Focus & Metrics

Academic Career Length

40Years (1987-Present)

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

Representative Publications

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28 March 2016 in Nature Genetics
Verified
Journal Article
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ZZZhihong Zhu
Zhihong Zhu
FZFutao Zhang
Futao Zhang
HHHan Hu
Han Hu
ABAndrew Bakshi
Andrew Bakshi
MRMatthew R Robinson
Matthew R Robinson
JYJian Yang
Jian Yang

26 April 2018 in Nature Genetics
Verified
Journal Article
Open access
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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
Verified
Journal Article
Open access
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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.

4 March 2008 in Nature Reviews Genetics
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Journal Article
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PVPeter M. Visscher
Peter M. Visscher
WHWilliam G. Hill
William G. Hill
NWNaomi R. Wray
Naomi R. Wray

26 February 2018 in Nature Genetics
Verified
Journal Article
Closed access
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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

25 August 2013 in Nature Genetics
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Journal Article
Open access
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SRStephan Ripke
Stephan Ripke
COColm O'Dushlaine
Colm O'Dushlaine
KCKimberly Chambert
Kimberly Chambert
JMJennifer L Moran
Jennifer L Moran
AKAnna K Kähler
Anna K Kähler
PSPatrick F Sullivan
Patrick F Sullivan
Patrick Sullivan and colleagues report a multi-stage genome-wide association study for schizophrenia in a Swedish population. They identify 13 loci newly associated with schizophrenia. Schizophrenia is an idiopathic mental disorder with a heritable component and a substantial public health impact. We conducted a multi-stage genome-wide association study (GWAS) for schizophrenia beginning with a Swedish national sample (5,001 cases and 6,243 controls) followed by meta-analysis with previous schizophrenia GWAS (8,832 cases and 12,067 controls) and finally by replication of SNPs in 168 genomic regions in independent samples (7,413 cases, 19,762 controls and 581 parent-offspring trios). We identified 22 loci associated at genome-wide significance; 13 of these are new, and 1 was previously implicated in bipolar disorder. Examination of candidate genes at these loci suggests the involvement of neuronal calcium signaling. We estimate that 8,300 independent, mostly common SNPs (95% credible interval of 6,300–10,200 SNPs) contribute to risk for schizophrenia and that these collectively account for at least 32% of the variance in liability. Common genetic variation has an important role in the etiology of schizophrenia, and larger studies will allow more detailed understanding of this disorder.