Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jacob Lawrence is active.

Publication


Featured researches published by Jacob Lawrence.


Nature | 2009

Common polygenic variation contributes to risk of schizophrenia and bipolar disorder

Shaun Purcell; Naomi R. Wray; Jennifer Stone; Peter M. Visscher; Michael Conlon O'Donovan; Patrick F. Sullivan; Pamela Sklar; Douglas M. Ruderfer; Andrew McQuillin; Derek W. Morris; Colm O’Dushlaine; Aiden Corvin; Peter Holmans; Michael C. O’Donovan; Stuart MacGregor; Hugh Gurling; Douglas Blackwood; Nicholas John Craddock; Michael Gill; Christina M. Hultman; George Kirov; Paul Lichtenstein; Walter J. Muir; Michael John Owen; Carlos N. Pato; Edward M. Scolnick; David St Clair; Nigel Melville Williams; Lyudmila Georgieva; Ivan Nikolov

Schizophrenia is a severe mental disorder with a lifetime risk of about 1%, characterized by hallucinations, delusions and cognitive deficits, with heritability estimated at up to 80%. We performed a genome-wide association study of 3,322 European individuals with schizophrenia and 3,587 controls. Here we show, using two analytic approaches, the extent to which common genetic variation underlies the risk of schizophrenia. First, we implicate the major histocompatibility complex. Second, we provide molecular genetic evidence for a substantial polygenic component to the risk of schizophrenia involving thousands of common alleles of very small effect. We show that this component also contributes to the risk of bipolar disorder, but not to several non-psychiatric diseases.


Nature | 2008

Rare chromosomal deletions and duplications increase risk of schizophrenia

Jennifer Stone; Michael C. O’Donovan; Hugh Gurling; George Kirov; Douglas Blackwood; Aiden Corvin; Nicholas John Craddock; Michael Gill; Christina M. Hultman; Paul Lichtenstein; Andrew McQuillin; Carlos N. Pato; Douglas M. Ruderfer; Michael John Owen; David St Clair; Patrick F. Sullivan; Pamela Sklar; Shaun Purcell; Joshua M. Korn; Stuart Macgregor; Derek W. Morris; Colm O’Dushlaine; Mark J. Daly; Peter M. Visscher; Peter Holmans; Edward M. Scolnick; Nigel Melville Williams; Lucy Georgieva; Ivan Nikolov; Nadine Norton

Schizophrenia is a severe mental disorder marked by hallucinations, delusions, cognitive deficits and apathy, with a heritability estimated at 73–90% (ref. 1). Inheritance patterns are complex, and the number and type of genetic variants involved are not understood. Copy number variants (CNVs) have been identified in individual patients with schizophrenia and also in neurodevelopmental disorders, but large-scale genome-wide surveys have not been performed. Here we report a genome-wide survey of rare CNVs in 3,391 patients with schizophrenia and 3,181 ancestrally matched controls, using high-density microarrays. For CNVs that were observed in less than 1% of the sample and were more than 100 kilobases in length, the total burden is increased 1.15-fold in patients with schizophrenia in comparison with controls. This effect was more pronounced for rarer, single-occurrence CNVs and for those that involved genes as opposed to those that did not. As expected, deletions were found within the region critical for velo-cardio-facial syndrome, which includes psychotic symptoms in 30% of patients. Associations with schizophrenia were also found for large deletions on chromosome 15q13.3 and 1q21.1. These associations have not previously been reported, and they remained significant after genome-wide correction. Our results provide strong support for a model of schizophrenia pathogenesis that includes the effects of multiple rare structural variants, both genome-wide and at specific loci.


Nature Genetics | 2008

Collaborative genome-wide association analysis supports a role for ANK3 and CACNA1C in bipolar disorder

Manuel A. Ferreira; Michael Conlon O'Donovan; Ian Richard Jones; Douglas M. Ruderfer; Lisa Jones; Jinbo Fan; George Kirov; Roy H. Perlis; Elaine K. Green; Jordan W. Smoller; Detelina Grozeva; Jennifer Stone; Ivan Nikolov; Marian Lindsay Hamshere; Vishwajit L. Nimgaonkar; Valentina Moskvina; Michael E. Thase; Sian Caesar; Gary S. Sachs; Jennifer Franklin; Katherine Gordon-Smith; Kristin Ardlie; Stacey Gabriel; Christine Fraser; Brendan Blumenstiel; Matthew DeFelice; Gerome Breen; Michael Gill; Derek W. Morris; Amanda Elkin

To identify susceptibility loci for bipolar disorder, we tested 1.8 million variants in 4,387 cases and 6,209 controls and identified a region of strong association (rs10994336, P = 9.1 × 10−9) in ANK3 (ankyrin G). We also found further support for the previously reported CACNA1C (alpha 1C subunit of the L-type voltage-gated calcium channel; combined P = 7.0 × 10−8, rs1006737). Our results suggest that ion channelopathies may be involved in the pathogenesis of bipolar disorder.


Molecular Psychiatry | 2008

Whole-genome association study of bipolar disorder

Pamela Sklar; Jordan W. Smoller; Jinbo Fan; Manuel A. Ferreira; Roy H. Perlis; Vishwajit L. Nimgaonkar; Matthew B. McQueen; Stephen V. Faraone; Andrew Kirby; P. I. W. de Bakker; Matthew N. Ogdie; Michael E. Thase; Gary S. Sachs; Katherine E. O. Todd-Brown; Stacey Gabriel; Carrie Sougnez; Casey Gates; Brendan Blumenstiel; Matthew DeFelice; Kristin Ardlie; J Franklin; Walter J. Muir; Kevin A. McGhee; Donald J. MacIntyre; Alan W. McLean; M VanBeck; Andrew McQuillin; Nick Bass; Matthew Robinson; Jacob Lawrence

We performed a genome-wide association scan in 1461 patients with bipolar (BP) 1 disorder, 2008 controls drawn from the Systematic Treatment Enhancement Program for Bipolar Disorder and the University College London sample collections with successful genotyping for 372 193 single nucleotide polymorphisms (SNPs). Our strongest single SNP results are found in myosin5B (MYO5B; P=1.66 × 10−7) and tetraspanin-8 (TSPAN8; P=6.11 × 10−7). Haplotype analysis further supported single SNP results highlighting MYO5B, TSPAN8 and the epidermal growth factor receptor (MYO5B; P=2.04 × 10−8, TSPAN8; P=7.57 × 10−7 and EGFR; P=8.36 × 10−8). For replication, we genotyped 304 SNPs in family-based NIMH samples (n=409 trios) and University of Edinburgh case–control samples (n=365 cases, 351 controls) that did not provide independent replication after correction for multiple testing. A comparison of our strongest associations with the genome-wide scan of 1868 patients with BP disorder and 2938 controls who completed the scan as part of the Wellcome Trust Case–Control Consortium indicates concordant signals for SNPs within the voltage-dependent calcium channel, L-type, alpha 1C subunit (CACNA1C) gene. Given the heritability of BP disorder, the lack of agreement between studies emphasizes that susceptibility alleles are likely to be modest in effect size and require even larger samples for detection.


Molecular Psychiatry | 2009

DISC1 association, heterogeneity and interplay in schizophrenia and bipolar disorder.

William Hennah; Pippa Thomson; Andrew McQuillin; Nick Bass; Anu Loukola; Adebayo Anjorin; Douglas Blackwood; David Curtis; Ian J. Deary; Sarah E. Harris; Erkki Isometsä; Jacob Lawrence; Jan-Erik Lönnqvist; Walter J. Muir; Aarno Palotie; Timo Partonen; Tiina Paunio; E Pylkkö; Michelle Robinson; P Soronen; Kirsi Suominen; Jaana Suvisaari; Srinivasa Thirumalai; D. St Clair; Hugh Gurling; Leena Peltonen; David J. Porteous

Disrupted in schizophrenia 1 (DISC1) has been associated with risk of schizophrenia, schizoaffective disorder, bipolar disorder, major depression, autism and Asperger syndrome, but apart from in the original translocation family, true causal variants have yet to be confirmed. Here we report a harmonized association study for DISC1 in European cohorts of schizophrenia and bipolar disorder. We identify regions of significant association, demonstrate allele frequency heterogeneity and provide preliminary evidence for modifying interplay between variants. Whereas no associations survived permutation analysis in the combined data set, significant corrected associations were observed for bipolar disorder at rs1538979 in the Finnish cohorts (uncorrected P=0.00020; corrected P=0.016; odds ratio=2.73±95% confidence interval (CI) 1.42–5.27) and at rs821577 in the London cohort (uncorrected P=0.00070; corrected P=0.040; odds ratio=1.64±95% CI 1.23–2.19). The rs821577 single nucleotide polymorphism (SNP) showed evidence for increased risk within the combined European cohorts (odds ratio=1.27±95% CI 1.07–1.51), even though significant corrected association was not detected (uncorrected P=0.0058; corrected P=0.28). After conditioning the European data set on the two risk alleles, reanalysis revealed a third significant SNP association (uncorrected P=0.00050; corrected P=0.025). This SNP showed evidence for interplay, either increasing or decreasing risk, dependent upon the presence or absence of rs1538979 or rs821577. These findings provide further support for the role of DISC1 in psychiatric illness and demonstrate the presence of locus heterogeneity, with the effect that clinically relevant genetic variants may go undetected by standard analysis of combined cohorts.


American Journal of Psychiatry | 2009

A Genomewide Association Study of Response to Lithium for Prevention of Recurrence in Bipolar Disorder

Roy H. Perlis; Jordan W. Smoller; Manuel A. Ferreira; Andrew McQuillin; Nick Bass; Jacob Lawrence; Gary S. Sachs; Vishwajit L. Nimgaonkar; Edward M. Scolnick; Hugh Gurling; Pamela Sklar; Shaun Purcell

OBJECTIVE Lithium remains a first-line treatment for bipolar disorder, but the mechanisms by which it prevents the recurrence of mood episodes are not known. The authors utilized data from a genomewide association study to examine associations between single nucleotide polymorphisms (SNPs) and the outcome of lithium treatment in two cohorts of patients with bipolar I disorder or bipolar II disorder. METHOD The hazard for mood episode recurrence was examined among 1,177 patients with bipolar I disorder or bipolar II disorder, including 458 individuals treated with lithium carbonate or citrate, who were participants in the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) cohort. SNPs showing the greatest evidence of association in Cox regression models were then examined for association with positive lithium response among 359 bipolar I or II disorder patients treated with lithium carbonate or citrate in a second cohort from the University College London. RESULTS The strongest association in the STEP-BD cohort (minimum p=5.5 x 10(-7)) was identified for a region on chromosome 10p15 (rs10795189). Of the regions showing suggestive evidence (p<5 x 10(-4)) of association with lithium response, five were further associated with positive lithium response in the University College London cohort, including SNPs in a region on chromosome 4q32 spanning a gene coding for the glutamate/alpha-amino-3-hydroxy-5-methyl-4-isoxazolpropionate (AMPA) receptor GRIA2. CONCLUSIONS Multiple novel loci merit further examination for association with lithium response in bipolar disorder patients, including one region that spans the GRIA2 gene, for which expression has been shown to be regulated by lithium treatment.


Molecular Psychiatry | 2009

Case-control studies show that a non-conservative amino-acid change from a glutamine to arginine in the P2RX7 purinergic receptor protein is associated with both bipolar- and unipolar-affective disorders.

Andrew McQuillin; Nick Bass; Khalid Choudhury; Vinay Puri; M Kosmin; Jacob Lawrence; David Curtis; H M D Gurling

Three linkage studies of bipolar disorder have implicated chromosome 12q24.3 with lod scores of over 3.0 and several other linkage studies have found lods between 2 and 3. Fine mapping within the original chromosomal linkage regions has identified several loci that show association with bipolar disorder. One of these is the P2RX7 gene encoding a central nervous system-expressed purinergic receptor. A non-synonymous single nucleotide polymorphism, rs2230912 (P2RX7-E13A, G allele) and a microsatellite marker NBG6 were both previously found to be associated with bipolar disorder (P=0.00071 and 0.008, respectively). rs2230912 has also been found to show association with unipolar depression. The effect of the polymorphism is non-conservative and results in a glutamine to arginine change (Gln460Arg), which is likely to affect P2RX7 dimerization and protein–protein interactions. We have confirmed the allelic associations between bipolar disorder and the markers rs2230912 (P2RX7-E13A, G allele, P=0.043) and NBG6 (P=0.010) in a London-based sample of 604 bipolar cases and 560 controls. When we combined these data with the published case–control studies of P2RX7 and mood disorder (3586 individuals) the association between rs2230912 (Gln460Arg) and affective disorders became more robust (P=0.002). The increase in Gln460Arg was confined to heterozygotes rather than homozygotes suggesting a dominant effect (odds ratio 1.302, CI=1.129–1.503). Although further research is needed to prove that the Gln460Arg change has an aetiological role, it is so far the most convincing mutation to have been found with a role for increasing susceptibility to bipolar and genetically related unipolar disorders.


Molecular Psychiatry | 2006

Fine mapping of a susceptibility locus for bipolar and genetically related unipolar affective disorders, to a region containing the C21ORF29 and TRPM2 genes on chromosome 21q22.3

Andrew McQuillin; Nick Bass; Gursharan Kalsi; Jacob Lawrence; Vinay Puri; Khalid Choudhury; Sevilla D. Detera-Wadleigh; David Curtis; Hugh Gurling

Linkage analyses of bipolar families have confirmed that there is a susceptibility locus near the telomere on chromosome 21q. To fine map this locus we carried out tests of allelic association using 30 genetic markers near the telomere at 21q22.3 in 600 bipolar research subjects and 450 ancestrally matched supernormal control subjects. We found significant allelic association with the microsatellite markers D21S171 (P=0.016) and two closely linked single-nucleotide polymorphisms, rs1556314 (P=0.008) and rs1785467 (P=0.025). A test of association with a three locus haplotype across the susceptibility region was significant with a permutation test of P=0.011. A two SNP haplotype was also significantly associated with bipolar disorder (P=0.01). Only two brain expressed genes, TRPM2 and C21ORF29 (TSPEAR), are present in the associated region. TRPM2 encodes a calcium channel receptor and TSPEAR encodes a peptide with repeats associated with epilepsy in the mouse. DNA from subjects who had inherited the associated marker alleles was sequenced. A base pair change (rs1556314) in exon 11 of TRPM2, which caused a change from an aspartic acid to a glutamic acid at peptide position 543 was found. This SNP showed the strongest association with bipolar disorder (P=0.008). Deletion of exon 11 of TRPM2 is known to cause dysregulation of cellular calcium homeostasis in response to oxidative stress. A second nonconservative change from arginine to cysteine at position 755 in TRPM2 (ss48297761) was also detected. A third nonconservative change from histidine to glutamic acid was found in exon 8 of TSPEAR. These changes need further investigation to establish any aetiological role in bipolar disorder.


Psychiatric Genetics | 2011

Case-case genome-wide association analysis shows markers differentially associated with schizophrenia and bipolar disorder and implicates calcium channel genes

David Curtis; Anna E. Vine; Andrew McQuillin; Nicholas Bass; Ana Pereira; Radhika Kandaswamy; Jacob Lawrence; Adebayo Anjorin; Khalid Choudhury; Susmita Datta; Vinay Puri; Robert Krasucki; Jonathan Pimm; Srinivasa Thirumalai; Digby Quested; Hugh Gurling

Objective There are theoretical reasons why comparing marker allele frequencies between cases of different diseases, rather than with controls, may offer benefits. The samples may be better matched, especially for background risk factors common to both diseases. Genetic loci may also be detected which influence which of the two diseases occurs if common risk factors are present. Method We used samples of UK bipolar and schizophrenic cases that had earlier been subject to genome-wide association studies and compared marker allele frequencies between the two samples. When these differed for a marker, we compared the case sample allele frequencies with those of a control sample. Results Eight markers were significant at P value of less than 10−5. Of these, the most interesting finding was for rs17645023, which was significant at P value of less than 10−6 and which lies 36 kb from CACNG5. Control allele frequencies for this marker were intermediate between those for bipolar and schizophrenic cases. Conclusion The application of this approach suggests that it does have some merits. The finding for CACNG5, taken together with the earlier implication of CACNA1C and CACNA1B, strongly suggests a key role for voltage-dependent calcium channel genes in the susceptibility to bipolar disorder and/or schizophrenia.


Molecular Psychiatry | 2010

A threonine to isoleucine missense mutation in the pericentriolar material 1 gene is strongly associated with schizophrenia

Susmita Datta; Andrew McQuillin; Ma Rizig; E Blaveri; Srinivasa Thirumalai; Gursharan Kalsi; Jacob Lawrence; Nick Bass; Vinay Puri; Khalid Choudhury; Jonathan Pimm; Caroline Crombie; Gillian M. Fraser; Nicholas Walker; David Curtis; Marketa Zvelebil; Ana Pereira; Radhika Kandaswamy; D. St Clair; H M D Gurling

Markers at the pericentriolar material 1 gene (PCM1) have shown genetic association with schizophrenia in both a University College London (UCL) and a USA-based case–control sample. In this paper we report a statistically significant replication of the PCM1 association in a large Scottish case–control sample from Aberdeen. Resequencing of the genomic DNA from research volunteers who had inherited haplotypes associated with schizophrenia showed a threonine to isoleucine missense mutation in exon 24 which was likely to change the structure and function of PCM1 (rs370429). This mutation was found only as a heterozygote in 98 schizophrenic research subjects and controls out of 2246 case and control research subjects. Among the 98 carriers of rs370429, 67 were affected with schizophrenia. The same alleles and haplotypes were associated with schizophrenia in both the London and Aberdeen samples. Another potential aetiological base pair change in PCM1 was rs445422, which altered a splice site signal. A further mutation, rs208747, was shown by electrophoretic mobility shift assays to create or destroy a promoter transcription factor site. Five further non-synonymous changes in exons were also found. Genotyping of the new variants discovered in the UCL case–control sample strengthened the evidence for allelic and haplotypic association (P=0.02–0.0002). Given the number and identity of the haplotypes associated with schizophrenia, further aetiological base pair changes must exist within and around the PCM1 gene. PCM1 protein has been shown to interact directly with the disrupted-in-schizophrenia 1 (DISC1) protein, Bardet-Biedl syndrome 4, and Huntingtin-associated protein 1, and is important in neuronal cell growth. In a separate study we found that clozapine but not haloperidol downregulated PCM1 expression in the mouse brain. We hypothesize that mutant PCM1 may be responsible for causing a subtype of schizophrenia through abnormal cell division and abnormal regeneration in dividing cells in the central nervous system. This is supported by our previous finding of orbitofrontal volumetric deficits in PCM1-associated schizophrenia patients as opposed to temporal pole deficits in non-PCM1-associated schizophrenia patients. Caution needs to be exercised in interpreting the actual biological effects of the mutations we have found without further cell biology. However, the DNA changes we have found deserve widespread genotyping in multiple case–control populations.

Collaboration


Dive into the Jacob Lawrence's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

David Curtis

University College London

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Nick Bass

University College London

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

G Kalsi

University College London

View shared research outputs
Top Co-Authors

Avatar

Nicholas Bass

University College London

View shared research outputs
Top Co-Authors

Avatar

Hmd Gurling

University College London

View shared research outputs
Top Co-Authors

Avatar

Jonathan Pimm

University College London

View shared research outputs
Researchain Logo
Decentralizing Knowledge