Thomas B. Barrett
University of California, San Diego
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Featured researches published by Thomas B. Barrett.
Molecular Psychiatry | 2009
Erin N. Smith; Cinnamon S. Bloss; Thomas B. Barrett; Pamela L. Belmonte; Wade H. Berrettini; William Byerley; William Coryell; David Craig; Howard J. Edenberg; Eleazar Eskin; Tatiana Foroud; Elliot S. Gershon; Tiffany A. Greenwood; Maria Hipolito; Daniel L. Koller; William B. Lawson; Chunyu Liu; Falk W. Lohoff; Melvin G. McInnis; Francis J. McMahon; Daniel B. Mirel; Sarah S. Murray; Caroline M. Nievergelt; J. Nurnberger; Evaristus A. Nwulia; Justin Paschall; James B. Potash; John P. Rice; Thomas G. Schulze; W. Scheftner
To identify bipolar disorder (BD) genetic susceptibility factors, we conducted two genome-wide association (GWA) studies: one involving a sample of individuals of European ancestry (EA; n=1001 cases; n=1033 controls), and one involving a sample of individuals of African ancestry (AA; n=345 cases; n=670 controls). For the EA sample, single-nucleotide polymorphisms (SNPs) with the strongest statistical evidence for association included rs5907577 in an intergenic region at Xq27.1 (P=1.6 × 10−6) and rs10193871 in NAP5 at 2q21.2 (P=9.8 × 10−6). For the AA sample, SNPs with the strongest statistical evidence for association included rs2111504 in DPY19L3 at 19q13.11 (P=1.5 × 10−6) and rs2769605 in NTRK2 at 9q21.33 (P=4.5 × 10−5). We also investigated whether we could provide support for three regions previously associated with BD, and we showed that the ANK3 region replicates in our sample, along with some support for C15Orf53; other evidence implicates BD candidate genes such as SLITRK2. We also tested the hypothesis that BD susceptibility variants exhibit genetic background-dependent effects. SNPs with the strongest statistical evidence for genetic background effects included rs11208285 in ROR1 at 1p31.3 (P=1.4 × 10−6), rs4657247 in RGS5 at 1q23.3 (P=4.1 × 10−6), and rs7078071 in BTBD16 at 10q26.13 (P=4.5 × 10−6). This study is the first to conduct GWA of BD in individuals of AA and suggests that genetic variations that contribute to BD may vary as a function of ancestry.
American Journal of Medical Genetics | 2006
Caroline M. Nievergelt; Daniel F. Kripke; Thomas B. Barrett; Elyssa D. Burg; Ronald A. Remick; A. Dessa Sadovnick; Susan L. McElroy; Paul E. Keck; Nicholas J. Schork; John R. Kelsoe
Bipolar affective disorder (BPAD) is suspected to arise in part from malfunctions of the circadian system, a system that enables adaptation to a daily and seasonally cycling environment. Genetic variations altering functions of genes involved with the input to the circadian clock, in the molecular feedback loops constituting the circadian oscillatory mechanism itself, or in the regulatory output systems could influence BPAD as a result. Several human circadian system genes have been identified and localized recently, and a comparison with linkage hotspots for BPAD has revealed some correspondences. We have assessed evidence for linkage and association involving polymorphisms in 10 circadian clock genes (ARNTL, CLOCK, CRY2, CSNK1ε, DBP, GSK3β, NPAS2, PER1, PER2, and PER3) to BPAD. Linkage analysis in 52 affected families showed suggestive evidence for linkage to CSNK1ε. This finding was not substantiated in the association study. Fifty‐two SNPs in 10 clock genes were genotyped in 185 parent proband triads. Single SNP TDT analyses showed no evidence for association to BPAD. However, more powerful haplotype analyses suggest two candidates deserving further studies. Haplotypes in ARNTL and PER3 were found to be significantly associated with BPAD via single‐gene permutation tests (PGu2009=u20090.025 and 0.008, respectively). The most suggestive haplotypes in PER3 showed a Bonferroni‐corrected P‐value of PGCu2009=u20090.07. These two genes have previously been implicated in circadian rhythm sleep disorders and affective disorders. With correction for the number of genes considered and tests conducted, these data do not provide statistically significant evidence for association. However, the trends for ARNTL and PER3 are suggestive of their involvement in bipolar disorder and warrant further study in a larger sample.
American Journal of Human Genetics | 2005
Matthew B. McQueen; Bernie Devlin; Stephen V. Faraone; Vishwajit L. Nimgaonkar; Pamela Sklar; Jordan W. Smoller; Rami Abou Jamra; Margot Albus; Silviu-Alin Bacanu; Miron Baron; Thomas B. Barrett; Wade H. Berrettini; Deborah Blacker; William Byerley; Sven Cichon; Willam Coryell; Nicholas John Craddock; Mark J. Daly; J. Raymond DePaulo; Howard J. Edenberg; Tatiana Foroud; Michael Gill; T. Conrad Gilliam; Marian Lindsay Hamshere; Ian Richard Jones; Lisa Jones; S H Juo; John R. Kelsoe; David Lambert; Christoph Lange
Several independent studies and meta-analyses aimed at identifying genomic regions linked to bipolar disorder (BP) have failed to find clear and consistent evidence of linkage regions. Our hypothesis is that combining the original genotype data provides benefits of increased power and control over sources of heterogeneity that outweigh the difficulty and potential pitfalls of the implementation. We conducted a combined analysis using the original genotype data from 11 BP genomewide linkage scans comprising 5,179 individuals from 1,067 families. Heterogeneity among studies was minimized in our analyses by using uniform methods of analysis and a common, standardized marker map and was assessed using novel methods developed for meta-analysis of genome scans. To date, this collaboration is the largest and most comprehensive analysis of linkage samples involving a psychiatric disorder. We demonstrate that combining original genome-scan data is a powerful approach for the elucidation of linkage regions underlying complex disease. Our results establish genomewide significant linkage to BP on chromosomes 6q and 8q, which provides solid information to guide future gene-finding efforts that rely on fine-mapping and association approaches.
Nature Genetics | 2001
Anja T. Rovio; David R. Marchington; Susanne Donat; Hans Christian Schuppe; Josef Abel; Ellen Fritsche; David J. Elliott; Pekka Laippala; Arja L. Ahola; David McNay; Robert F. Harrison; Barbara Hughes; Thomas B. Barrett; David M. D. Bailey; Denise Mehmet; Anne M. Jequier; Tim Hargreave; Shu Huei Kao; James M. Cummins; David E. Barton; Howard J. Cooke; Yau Huei Wei; Lars Wichmann; Joanna Poulton; Howard T. Jacobs
Human mitochondrial DNA polymerase, encoded by POLG, contains a polyglutamine tract encoded by a CAG microsatellite repeat. Analysis of POLG genotypes in different populations identified an association between absence of the common, ten-repeat allele and male infertility typified by a range of sperm quality defects but excluding azoospermia.
Molecular Psychiatry | 2009
Dandan Zhang; Lijun Cheng; Yudong Qian; Ney Alliey-Rodriguez; John R. Kelsoe; Tiffany A. Greenwood; Caroline M. Nievergelt; Thomas B. Barrett; Rebecca McKinney; Nicholas J. Schork; Erin N. Smith; Cinnamon S. Bloss; John I. Nurnberger; Howard J. Edenberg; Tatiana Foroud; William Sheftner; William B. Lawson; Evaritus A. Nwulia; Maria Hipolito; William Coryell; John P. Rice; William Byerley; Francis J. McMahon; Thomas G. Schulze; Wade H. Berrettini; James B. Potash; Pamela L. Belmonte; Peter P. Zandi; Melvin G. McInnis; Sebastian Zöllner
An overall burden of rare structural genomic variants has not been reported in bipolar disorder (BD), although there have been reports of cases with microduplication and microdeletion. Here, we present a genome-wide copy number variant (CNV) survey of 1001 cases and 1034 controls using the Affymetrix single nucleotide polymorphism (SNP) 6.0 SNP and CNV platform. Singleton deletions (deletions that appear only once in the dataset) more than 100u2009kb in length are present in 16.2% of BD cases in contrast to 12.3% of controls (permutation P=0.007). This effect was more pronounced for age at onset of mania ⩽18 years old. Our results strongly suggest that BD can result from the effects of multiple rare structural variants.
Molecular Psychiatry | 2013
Eric R. Gamazon; Lijun Cheng; Chunling Zhang; Dandan Zhang; Nancy J. Cox; Elliot S. Gershon; John R. Kelsoe; Tiffany A. Greenwood; Caroline M. Nievergelt; Chao Chen; Rebecca McKinney; Paul D. Shilling; Nicholas J. Schork; Erin N. Smith; Cinnamon S. Bloss; John I. Nurnberger; Howard J. Edenberg; T. Foroud; Daniel L. Koller; William A. Scheftner; William Coryell; John P. Rice; William B. Lawson; Evaristus A. Nwulia; Maria Hipolito; William Byerley; Francis J. McMahon; Thomas G. Schulze; Wade H. Berrettini; James B. Potash
We conducted a systematic study of top susceptibility variants from a genome-wide association (GWA) study of bipolar disorder to gain insight into the functional consequences of genetic variation influencing disease risk. We report here the results of experiments to explore the effects of these susceptibility variants on DNA methylation and mRNA expression in human cerebellum samples. Among the top susceptibility variants, we identified an enrichment of cis regulatory loci on mRNA expression (eQTLs), and a significant excess of quantitative trait loci for DNA CpG methylation, hereafter referred to as methylation quantitative trait loci (mQTLs). Bipolar disorder susceptibility variants that cis regulate both cerebellar expression and methylation of the same gene are a very small proportion of bipolar disorder susceptibility variants. This finding suggests that mQTLs and eQTLs provide orthogonal ways of functionally annotating genetic variation within the context of studies of pathophysiology in brain. No lymphocyte mQTL enrichment was found, suggesting that mQTL enrichment was specific to the cerebellum, in contrast to eQTLs. Separately, we found that using mQTL information to restrict the number of single-nucleotide polymorphisms studied enhances our ability to detect a significant association. With this restriction a priori informed by the observed functional enrichment, we identified a significant association (rs12618769, Pbonferroni<0.05) from two other GWA studies (TGen+GAIN; 2191 cases and 1434 controls) of bipolar disorder, which we replicated in an independent GWA study (WTCCC). Collectively, our findings highlight the importance of integrating functional annotation of genetic variants for gene expression and DNA methylation to advance the biological understanding of bipolar disorder.
Molecular Psychiatry | 2003
Thomas B. Barrett; R L Hauger; James L. Kennedy; Sadovnick Ad; Ronald A. Remick; Paul E. Keck; Susan L. McElroy; Madeline Alexander; Sh Shaw; John R. Kelsoe
In a genome-wide linkage survey, we have previously shown evidence suggesting that the chromosome 22q12 region contains a susceptibility locus for bipolar disorder (BPD). Two independent family sets yielded lod scores suggestive of linkage at markers in this region near the gene G protein receptor kinase 3 (GRK3). GRK3 is an excellent candidate risk gene for BPD since GRK3 is expressed widely in the brain, and since GRKs play key roles in the homologous desensitization of G protein-coupled receptor signaling. We have also previously shown GRK3 expression to be induced by amphetamine in an animal model of mania using microarray-based expression profiling. To identify possible functional mutations in GRK3, we sequenced the putative promoter region, all 21 exons, and intronic sequence flanking each exon, in 14–22 individuals with BPD. We found six sequence variants in the 5′-UTR/promoter region, but no coding or obvious splice variants. Transmission disequilibrium analyses of one set of 153 families indicated that two of the 5′-UTR/promoter variants are associated with BPD in families of northern European Caucasian ancestry. A supportive trend towards association to one of these two variants (P-5) was then subsequently obtained in an independent sample of 237 families. In the combined sample, the P-5 variant had an estimated allele frequency of 3% in bipolar subjects, and displayed a transmission to non-transmission ratio of 26u2009:u20097.7 (χ2=9.6, one-sided P value=0.0019). Altogether, these data support the hypothesis that a dysregulation in GRK3 expression alters signaling desensitization, and thereby predisposes to the development of BPD.
PLOS Genetics | 2011
Erin N. Smith; Daniel L. Koller; Corrie Panganiban; Szabolcs Szelinger; Peng Zhang; Thomas B. Barrett; Wade H. Berrettini; Cinnamon S. Bloss; William Byerley; William Coryell; Howard J. Edenberg; Tatiana Foroud; Elliot S. Gershon; Tiffany A. Greenwood; Yiran Guo; Maria Hipolito; Brendan J. Keating; William B. Lawson; Chunyu Liu; Pamela B. Mahon; Melvin G. McInnis; Francis J. McMahon; Rebecca McKinney; Sarah S. Murray; Caroline M. Nievergelt; John I. Nurnberger; Evaristus A. Nwulia; James B. Potash; John P. Rice; Thomas G. Schulze
Although a highly heritable and disabling disease, bipolar disorders (BD) genetic variants have been challenging to identify. We present new genotype data for 1,190 cases and 401 controls and perform a genome-wide association study including additional samples for a total of 2,191 cases and 1,434 controls. We do not detect genome-wide significant associations for individual loci; however, across all SNPs, we show an association between the power to detect effects calculated from a previous genome-wide association study and evidence for replication (Pu200a=u200a1.5×10−7). To demonstrate that this result is not likely to be a false positive, we analyze replication rates in a large meta-analysis of height and show that, in a large enough study, associations replicate as a function of power, approaching a linear relationship. Within BD, SNPs near exons exhibit a greater probability of replication, supporting an enrichment of reproducible associations near functional regions of genes. These results indicate that there is likely common genetic variation associated with BD near exons (±10 kb) that could be identified in larger studies and, further, provide a framework for assessing the potential for replication when combining results from multiple studies.
Molecular Diagnosis & Therapy | 2007
Troy Bremer; Cornelius Diamond; Rebecca McKinney; Tatyana Shehktman; Thomas B. Barrett; Chris Herold; John R. Kelsoe
AbstractBackground: Based on results from randomized, controlled clinical trials, lithium monotherapy or lithium with the addition of an antipsychotic remains a first-line treatment option for both acute and long-term mood stabilization in bipolar mania. However, response to lithium is poor in bipolar patients who exhibit clinical characteristics such as rapid cycling and mixed manic states, suggesting that they may have a biologically and genetically distinct form of bipolar disorder. A test that could predict response to lithium based upon genetic factors would have significant clinical value.n Methods: Eight clinical characteristics were assessed in 92 lithium responders and 92 nonresponders; all probands were from families recruited for linkage studies. Lithium response was rated retrospectively from a standardized interviews and medical records. Eight candidate genes were selected from those reported to be associated with susceptibility to illness, lithium response, or lithium mechanism of action. Sixty-seven single nucleotide polymorphisms (SNPs) were genotyped in these subjects and analyzed for association with the defined clinical characteristics.n Results: Using q-value analysis for multiplicity correction, we found significant interactions between lithium response and SNPs (rs1387923 and rs1565445) in the gene encoding neurotrophic tyrosine kinase receptor type 2 (NTRK2) and suicidal ideation, and between SNP rs2064721 in the gene encoding inositol polyphosphate-1-phosphatase (INPP1) and post-traumatic stress disorder.n Conclusion: These data support the idea that response to lithium has a multi-genetic etiology dependent upon manifestations of other clinical co-diagnoses.
Biological Psychiatry | 2008
Xianjin Zhou; Thomas B. Barrett; John R. Kelsoe
BACKGROUNDnWe have previously reported a single nucleotide polymorphism (P-5, G-384A) in the proximal promoter of the gene for G protein receptor kinase 3 (GRK3) that was associated with bipolar disorder in two independent samples. In this study, we examined whether the G-384A variant has a functional effect on GRK3 transcription.nnnMETHODSnElectrophoretic mobility shift assays were conducted using nuclear extracts from both Hela cells and adult mouse cortex. Transcriptional function was also examined using a dual luciferase reporter system transfected into in vitro human neuroblastoma cells and cultured mouse cortical neurons.nnnRESULTSnThe G-384A variant abolished or reduced the formation of DNA-protein complexes using nuclear extract from both HeLa cells and adult mouse cortical neuron cells. However, gene expression was significantly enhanced by G-384A in both in vitro human neuroblastoma cells and cultured mouse cortical neurons.nnnCONCLUSIONSnThese data suggest that the G-384A SNP in the promoter of human GRK3 gene represents an important functional variant. The G-384A variant may alter binding of Sp1/Sp4 transcription factors resulting in an increase in gene transcription and an increase in vulnerability to bipolar disorder.