Author: David Curtis

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Preprints

Genomewide association study identifies 30 loci associated with bipolar disorder

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Polygenic risk score for schizophrenia is more strongly associated with ancestry than with schizophrenia

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A contribution of novel CNVs to schizophrenia from a genome-wide study of 41,321 subjects

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Genomic dissection of bipolar disorder and schizophrenia including 28 subphenotypes

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Rare loss-of-function variants in KMT2F are associated with schizophrenia and developmental disorders

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A weighted burden test using logistic regression for integrated analysis of sequence variants, copy number variants and polygenic risk score

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Rare schizophrenia risk variants are enriched in genes shared with neurodevelopmental disorders

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Polygenic risk score for schizophrenia is not strongly associated with the expression of specific genes or gene sets

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Common variants of NRXN1, LRP1B and RORA are associated with increased ventricular volumes in psychosis - GWAS findings from the B-SNIP deep phenotyping study

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Construction of an exome-wide risk score for schizophrenia based on a weighted burden test

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Weighted burden analysis of exome-sequenced case-control sample implicates synaptic genes in schizophrenia aetiology

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Weighted burden analysis of exome-sequenced late onset Alzheimer’s cases and controls provides further evidence for a role for PSEN1 and suggests involvement of the PI3K/Akt/GSK-3β and WNT signalling pathways

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In silico investigation of coding variants potentially affecting the functioning of the glutamatergic N-methyl-D-aspartate receptor in schizophrenia

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KCC1 Activation protects Mice from the Development of Experimental Cerebral Malaria.

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LD scores are associated with differences in allele frequencies between populations but LD score regression can still distinguish confounding from polygenicity

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Association study of schizophrenia with variants in miR-137 binding sites

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Do damaging variants of SLC6A9, the gene for the glycine transporter 1 (GlyT-1), protect against schizophrenia?

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Multiple linear regression allows weighted burden analysis of rare coding variants in an ethnically heterogeneous population

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