Weiqiu Cheng
Oslo University Hospital
6 Papers
12 Citations
Weiqiu Cheng is an academic researcher from Oslo University Hospital. The author has contributed to research in topics: Genome-wide association study & Brain morphometry. The author has an hindex of 1, co-authored 6 publications. Previous affiliations of Weiqiu Cheng include University of Oslo.
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Papers
Vertex-wise multivariate genome-wide association study identifies 780 unique genetic loci associated with cortical morphology
Alexey A. Shadrin,Tobias Kaufmann,Dennis van der Meer,Clare E. Palmer,Carolina Makowski,Robert Loughnan,Terry L. Jernigan,Tyler M. Seibert,Donald J. Hagler,Olav B. Smeland,Ehsan Motazedi,Yunhan Chu,Aihua Lin,Weiqiu Cheng,Guy Hindley,Wesley K. Thompson,Chun Chieh Fan,Dominic Holland,Lars T. Westlye,Oleksandr Frei,Ole A. Andreassen,Anders M. Dale +21 more
TL;DR: This paper applied the multivariate Omnibus Statistical Test (MOSTest) to genome-wide association studies (GWAS) of vertex-wise structural magnetic resonance imaging (MRI) cortical measures from N=35,657 participants in the UK Biobank.
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Genome-wide analysis reveals genetic overlap between alcohol use behaviours, schizophrenia and bipolar disorder and identifies novel shared risk loci.
Erik D Wiström,Erik D Wiström,Kevin S. O’Connell,Kevin S. O’Connell,Naz Karadag,Naz Karadag,Shahram Bahrami,Shahram Bahrami,Guy Hindley,Guy Hindley,Guy Hindley,Aihua Lin,Aihua Lin,Weiqiu Cheng,Weiqiu Cheng,Nils Eiel Steen,Nils Eiel Steen,Alexey A. Shadrin,Alexey A. Shadrin,Oleksandr Frei,Oleksandr Frei,Srdjan Djurovic,Srdjan Djurovic,Anders M. Dale,Ole A. Andreassen,Ole A. Andreassen,Olav B. Smeland,Olav B. Smeland +27 more
TL;DR: In this paper, the authors used conjunctional false discovery rate (conjFDR) analysis to identify genomic loci jointly associated with SCZ, BD, AUD and AC to gain further insights into their shared genetic architecture.
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Multivariate genome-wide association study identifies 1735 unique genetic loci associated with cortical morphology.
Alexey A. Shadrin,Tobias Kaufmann,Dennis van der Meer,Dennis van der Meer,Clare E. Palmer,Carolin Makowski,Robert Loughnan,Terry L. Jernigan,Tyler M. Seibert,Donald J. Hagler,Olav B. Smeland,Yunhan Chu,Aihua Lin,Weiqiu Cheng,Guy Hindley,Wesley K. Thompson,Wesley K. Thompson,Chun Chieh Fan,Dominic Holland,Lars T. Westlye,Lars T. Westlye,Oleksandr Frei,Ole A. Andreassen,Anders M. Dale +23 more
TL;DR: The power analysis indicates that applying the MOSTest to vertex-wise structural MRI data triples the effective sample size compared to conventional GWAS approaches, and gene-based analyses implicate 10% of all protein-coding genes and point towards pathways involved in neurogenesis and cell differentiation, supporting that they are capturing valid biological mechanisms underlying brain anatomy.
Genome-wide association analysis reveals extensive genetic overlap between mood instability and psychiatric disorders but divergent patterns of genetic effects
Guy Hindley,Guy Hindley,Kevin S. O’Connell,Zillur Rahman,Oleksandr Frei,Oleksandr Frei,Shahram Bahrami,Alexey A. Shadrin,Margrethe Collier Høegh,Weiqiu Cheng,Naz Karadag,Aihua Lin,Linn Rødevand,Chun Chieh Fan,Chun Chieh Fan,Srdjan Djurovic,Srdjan Djurovic,Srdjan Djurovic,Trine Vik Lagerberg,Anders M. Dale,Olav B. Smeland,Ole A. Andreassen,Ole A. Andreassen +22 more
TL;DR: In this article, the authors investigated the polygenic overlap between mood instability and psychiatric disorders beyond genetic correlation to better characterize putative shared genetic determinants, and identified jointly associated genomic loci.
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Characterizing the Genetic Overlap Between Psychiatric Disorders and Sleep-Related Phenotypes.
Kevin S. O’Connell,Oleksandr Frei,Shahram Bahrami,Olav B. Smeland,Francesco Bettella,Weiqiu Cheng,Yunhan Chu,Guy Hindley,Aihua Lin,Alexey A. Shadrin,Elizabeth Ann Barrett,Trine Vik Lagerberg,Nils Eiel Steen,Anders M. Dale,Srdjan Djurovic,Ole A. Andreassen +15 more
TL;DR: In this paper, the authors applied novel statistical genetic methodologies to better characterize the potential shared genetic architecture between sleep-related phenotypes and psychiatric disorders using MiXeR method, which can estimate polygenic overlap beyond genetic correlation.