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Featured researches published by Brandon Wormley.


American Journal of Human Genetics | 2002

Genetic variation in the 6p22.3 gene DTNBP1, the human ortholog of the mouse dysbindin gene, is associated with schizophrenia.

Richard E. Straub; Yuxin Jiang; Charles J. MacLean; Yunlong Ma; Bradley T. Webb; Maxim V. Myakishev; Carole Harris-Kerr; Brandon Wormley; Hannah Sadek; Bharat Kadambi; Anthony J. Cesare; Avi Gibberman; Xu Wang; F. Anthony O'Neill; Dermot Walsh; Kenneth S. Kendler

Prior evidence has supported the existence of multiple susceptibility genes for schizophrenia. Multipoint linkage analysis of the 270 Irish high-density pedigrees that we have studied, as well as results from several other samples, suggest that at least one such gene is located in region 6p24-21. In the present study, family-based association analysis of 36 simple sequence-length-polymorphism markers and of 17 SNP markers implicated two regions, separated by approximately 7 Mb. The first region, and the focus of this report, is 6p22.3. In this region, single-nucleotide polymorphisms within the 140-kb gene DTNBP1 (dystrobrevin-binding protein 1, or dysbindin) are strongly associated with schizophrenia. Uncorrected, empirical P values produced by the program TRANSMIT were significant (P<.01) for a number of individual SNP markers, and most remained significant when the data were restricted to include only one affected offspring per nuclear family per extended pedigree; multiple three-marker haplotypes were highly significant (P=.008-.0001) under the restricted conditions. The pattern of linkage disequilibrium is consistent with the presence of more than one susceptibility allele, but this important issue is unresolved. The number of markers tested in the adjacent genes, all of which are negative, is not sufficient to rule out the possibility that the dysbindin gene is not the actual susceptibility gene, but this possibility appears to be very unlikely. We conclude that further investigation of dysbindin is warranted.


Molecular Psychiatry | 2009

Meta-analysis of 32 genome-wide linkage studies of schizophrenia

M Y M Ng; Douglas F. Levinson; Stephen V. Faraone; Brian K. Suarez; Lynn E. DeLisi; Tadao Arinami; Brien P. Riley; Tiina Paunio; Ann E. Pulver; Irmansyah; Peter Holmans; Michael A. Escamilla; Dieter B. Wildenauer; Nigel Melville Williams; Claudine Laurent; Bryan J. Mowry; Linda M. Brzustowicz; M. Maziade; Pamela Sklar; David L. Garver; Gonçalo R. Abecasis; Bernard Lerer; M D Fallin; H M D Gurling; Pablo V. Gejman; Eva Lindholm; Hans W. Moises; William Byerley; Ellen M. Wijsman; Paola Forabosco

A genome scan meta-a nalysis (GSMA) was carried out on 32 independent genome-wide linkage scan analyses that included 3255 pedigrees with 7413 genotyped cases affected with schizophrenia (SCZ) or related disorders. The primary GSMA divided the autosomes into 120 bins, rank-ordered the bins within each study according to the most positive linkage result in each bin, summed these ranks (weighted for study size) for each bin across studies and determined the empirical probability of a given summed rank (PSR) by simulation. Suggestive evidence for linkage was observed in two single bins, on chromosomes 5q (142–168 Mb) and 2q (103–134 Mb). Genome-wide evidence for linkage was detected on chromosome 2q (119–152 Mb) when bin boundaries were shifted to the middle of the previous bins. The primary analysis met empirical criteria for ‘aggregate’ genome-wide significance, indicating that some or all of 10 bins are likely to contain loci linked to SCZ, including regions of chromosomes 1, 2q, 3q, 4q, 5q, 8p and 10q. In a secondary analysis of 22 studies of European-ancestry samples, suggestive evidence for linkage was observed on chromosome 8p (16–33 Mb). Although the newer genome-wide association methodology has greater power to detect weak associations to single common DNA sequence variants, linkage analysis can detect diverse genetic effects that segregate in families, including multiple rare variants within one locus or several weakly associated loci in the same region. Therefore, the regions supported by this meta-analysis deserve close attention in future studies.


Molecular Psychiatry | 2010

Replication of association between schizophrenia and ZNF804A in the Irish Case-Control Study of Schizophrenia sample

Brien P. Riley; Brion S. Maher; Tim B. Bigdeli; Brandon Wormley; G.O. McMichael; Ayman H. Fanous; Vladimir I. Vladimirov; Francis O'Neill; Dominic M. Walsh; Kenneth S. Kendler

A recent genome-wide association study reported association between schizophrenia and the ZNF804A gene on chromosome 2q32.1. We attempted to replicate these findings in our Irish Case–Control Study of Schizophrenia (ICCSS) sample (N=1021 cases, 626 controls). Following consultation with the original investigators, we genotyped three of the most promising single-nucleotide polymorphisms (SNPs) from the Cardiff study. We replicate association with rs1344706 (trend test one-tailed P=0.0113 with the previously associated A allele) in ZNF804A. We detect no evidence of association with rs6490121 in NOS1 (one-tailed P=0.21), and only a trend with rs9922369 in RGRIP1L (one-tailed P=0.0515). On the basis of these results, we completed genotyping of 11 additional linkage disequilibrium-tagging SNPs in ZNF804A. Of 12 SNPs genotyped, 11 pass quality control criteria and 4 are nominally associated, with our most significant evidence of association at rs7597593 (P=0.0013) followed by rs1344706. We observe no evidence of differential association in ZNF804A on the basis of family history or sex of case. The associated SNP rs1344706 lies in ∼30 bp of conserved mammalian sequence, and the associated A allele is predicted to maintain binding sites for the brain-expressed transcription factors MYT1l and POU3F1/OCT-6. In controls, expression is significantly increased from the A allele of rs1344706 compared with the C allele. Expression is increased in schizophrenic cases compared with controls, but this difference does not achieve statistical significance. This study replicates the original reported association of ZNF804A with schizophrenia and suggests that there is a consistent link between the A allele of rs1344706, increased expression of ZNF804A and risk for schizophrenia.


Molecular Psychiatry | 1999

Susceptibility genes for nicotine dependence: A genome scan and followup in an independent sample suggest that regions on chromosomes 2, 4, 10, 16, 17 and 18 merit further study

Richard E. Straub; Patrick F. Sullivan; Yunlong Ma; Maxim V. Myakishev; Carole Harris-Kerr; Brandon Wormley; B Kadambi; Hannah Sadek; Michael A. Silverman; Bradley T. Webb; M. C. Neale; C M Bulik; P R Joyce; Kenneth S. Kendler

Cigarette smoking is associated with considerable morbidity, mortality, and public health costs. Genetic factors influence both smoking initiation and nicotine dependence, but none of the genes involved have been identified. A genome scan using 451 markers was conducted to identify chromosomal regions linked to nicotine dependence in a collection of 130 families containing 343 genotyped individuals (308 nicotine-dependent) from Christchurch, New Zealand. By pairwise analysis, the best result was with marker D2S1326 which gave a lod score under heterogeneity (H-LOD) of 2.63 (P = 0.0012) and a nonparametric linkage (NPL, Zall) score of 2.65 (P = 0.0011). To identify regions that warranted further study, rather than comparing the pairwise scores from the scan to theoretical thresholds, we compared them to an empirical baseline, found here to be H-LOD scores of 0.5 and Zall scores of 1.0. We also found a number of large (31–88 cM) regions where many (8–16) consecutive markers yielded small but positive Zall scores. Selected regions of chromosomes 2, 4, 10, 16, 17 and 18 were investigated further by additional genotyping of the Christchurch sample and an independent sample from Richmond, Virginia (91 families with 264 genotyped individuals, 211 nicotine-dependent). Multipoint nonparametric analysis showed the following maximums for the Christchurch sample: Chr. 2 (Zlr = 2.61, P = 0.005), Chr. 4 (Zlr = 1.36, P = 0.09), Chr. 10 (Zlr = 2.43, P = 0.008), Chr. 16 (Zlr = 0.85, P = 0.19), Chr. 17 (Zlr = 1.64, P = 0.05), Chr. 18 (Zlr = 1.54, P = 0.06). Analysis of the Richmond sample showed the following maximums: Chr. 2 (Zlr = 1.00, P = 0.15), Chr. 4 (Zlr = 0.39, P = 0.34), Chr. 10 (Zlr = 1.21, P = 0.11), Chr. 16 (Zlr = 1.11, P = 0.13), Chr. 17 (Zlr = 1.60, P = 0.05), Chr. 18 (Zlr = 1.33, P = 0.09). It is probable that the small samples used here provided only limited power to detect linkage. It may have been difficult therefore to detect genes of small effect, or those that are influencing risk in only a small proportion of the families. When simply judged against the usual standards of linkage significance, none of the individual regions yielded strong evidence in either sample. Some or all of the most positive results in the genome scan of the Christchurch sample, therefore, could be due to chance. However, the presence in the Christchurch scan of multiple large regions containing many consecutive positive markers, coupled with the relatively positive results in these same regions in the Richmond sample, suggests that some of these regions may contain genes influencing nicotine dependence and therefore deserve further study.


Molecular Psychiatry | 2002

Genome-wide scans of three independent sets of 90 Irish multiplex schizophrenia families and follow-up of selected regions in all families provides evidence for multiple susceptibility genes

Richard E. Straub; Charles J. MacLean; Yunlong Ma; Bradley T. Webb; Maxim V. Myakishev; Carole Harris-Kerr; Brandon Wormley; Hannah Sadek; B Kadambi; Francis O'Neill; Dominic M. Walsh; Kenneth S. Kendler

From our linkage study of Irish families with a high density of schizophrenia, we have previously reported evidence for susceptibility genes in regions 5q21–31, 6p24–21, 8p22–21, and 10p15–p11. In this report, we describe the cumulative results from independent genome scans of three a priori random subsets of 90 families each, and from multipoint analysis of all 270 families in ten regions. Of these ten regions, three (13q32, 18p11–q11, and 18q22–23) did not generate scores above the empirical baseline pairwise scan results, and one (6q13–26) generated a weak signal. Six other regions produced more positive pairwise and multipoint results. They showed the following maximum multipoint H-LOD (heterogeneity LOD) and NPL scores: 2p14–13: 0.89 (P = 0.06) and 2.08 (P = 0.02), 4q24–32: 1.84 (P = 0.007) and 1.67 (P = 0.03), 5q21–31: 2.88 (P= 0.0007), and 2.65 (P = 0.002), 6p25–24: 2.13 (P = 0.005) and 3.59 (P = 0.0005), 6p23: 2.42 (P = 0.001) and 3.07 (P = 0.001), 8p22–21: 1.57 (P = 0.01) and 2.56 (P = 0.005), 10p15–11: 2.04 (P = 0.005) and 1.78 (P = 0.03). The degree of ‘internal replication’ across subsets differed, with 5q, 6p, and 8p being most consistent and 2p and 10p being least consistent. On 6p, the data suggested the presence of two susceptibility genes, in 6p25–24 and 6p23–22. Very few families were positive on more than one region, and little correlation between regions was evident, suggesting substantial locus heterogeneity. The levels of statistical significance were modest, as expected from loci contributing to complex traits. However, our internal replications, when considered along with the positive results obtained in multiple other samples, suggests that most of these six regions are likely to contain genes that influence liability to schizophrenia.


American Journal of Medical Genetics | 2000

Haplotypes of four novel single nucleotide polymorphisms in the nicotinic acetylcholine receptor β2-subunit (CHRNB2) gene show no association with smoking initiation or nicotine dependence

Michael A. Silverman; Michael C. Neale; Patrick F. Sullivan; Carole Harris-Kerr; Brandon Wormley; Hannah Sadek; Yunlong Ma; Kenneth S. Kendler; Richard E. Straub

Several types of evidence, including experiments with mice that lack the nicotinic acetylcholine receptor beta2-subunit gene (CHRNB2), have suggested that a beta2-containing nicotinic receptor is necessary for at least some of the reinforcing properties of nicotine. However, sequence variations in CHRNB2 have not been reported, and its role in influencing human smoking behavior and nicotine dependence is not known. We screened most of the introns and exons and found five novel single nucleotide polymorphisms (SNPs). We tested four of these SNPs in three large, carefully selected samples: nonsmokers (n = 317) and regular smokers low levels of nicotine dependence (ND, n = 238), or smokers with high-ND (n = 317). None of the four polymorphisms we tested, nor their estimated haplotypes, were associated with smoking initiation or progression to nicotine dependence.


Psychological Medicine | 2009

Monoamine oxidase A and childhood adversity as risk factors for conduct disorder in females

Elizabeth Prom-Wormley; Lindon J. Eaves; Debra L. Foley; Charles O. Gardner; Kellie J. Archer; Brandon Wormley; Hermine H. Maes; Brien P. Riley; Judy Silberg

BACKGROUND Recent studies among males have reported a genotype-environment interaction (GxE) in which low-activity alleles at the monoamine oxidase A (MAOA) locus conferred greater sensitivity to the effects of childhood adversity on risk for conduct disorder (CD). So far, few studies of females have controlled for gene-environment correlation or used females heterozygous for this X-linked gene. METHOD Logistic regression analysis of a sample of 721 females ages 8-17 years from the longitudinal Virginia Twin Study of Adolescent Behavioral Development (VTSABD) assessed the additive effects of MAOA genotypes on risk for CD, together with the main effect of childhood adversity and parental antisocial personality disorder (ASP), as well as the interaction of MAOA with childhood adversity on risk for CD. RESULTS A significant main effect of genotype on risk for CD was detected, where low-activity MAOA imparted the greatest risk to CD in girls while controlling for the significant effects of maternal ASP and childhood adversity. Significant GxE with weak effect was detected when environmental exposure was untransformed, indicating a higher sensitivity to childhood adversity in the presence of the high-activity MAOA allele. The interaction was no longer statistically significant after applying a ridit transformation to reflect the sample sizes exposed at each level of childhood adversity. CONCLUSIONS The main effect of MAOA on risk for CD in females, its absence in males and directional difference of interaction is suggestive of genotype-sex interaction. As the effect of GxE on risk for CD was weak, its inclusion is not justified.


Molecular Psychiatry | 2009

Genomewide linkage scan of schizophrenia in a large multicenter pedigree sample using single nucleotide polymorphisms

Peter Holmans; Brien P. Riley; Ann E. Pulver; Michael John Owen; Dieter B. Wildenauer; Pablo V. Gejman; Bryan J. Mowry; Claudine Laurent; Kenneth S. Kendler; Gerald Nestadt; Nigel Melville Williams; Sibylle G. Schwab; Alan R. Sanders; Deborah A. Nertney; J. Mallet; Brandon Wormley; Virginia K. Lasseter; Michael Conlon O'Donovan; Jubao Duan; Margot Albus; Madeline Alexander; S. Godard; R. Ribble; Kung Yee Liang; Nadine Norton; Wolfgang Maier; George N. Papadimitriou; Dermot Walsh; Maurice Jay; Anthony O'Neill

A genomewide linkage scan was carried out in eight clinical samples of informative schizophrenia families. After all quality control checks, the analysis of 707 European-ancestry families included 1615 affected and 1602 unaffected genotyped individuals, and the analysis of all 807 families included 1900 affected and 1839 unaffected individuals. Multipoint linkage analysis with correction for marker–marker linkage disequilibrium was carried out with 5861 single nucleotide polymorphisms (SNPs; Illumina version 4.0 linkage map). Suggestive evidence for linkage (European families) was observed on chromosomes 8p21, 8q24.1, 9q34 and 12q24.1 in nonparametric and/or parametric analyses. In a logistic regression allele-sharing analysis of linkage allowing for intersite heterogeneity, genomewide significant evidence for linkage was observed on chromosome 10p12. Significant heterogeneity was also observed on chromosome 22q11.1. Evidence for linkage across family sets and analyses was most consistent on chromosome 8p21, with a one-LOD support interval that does not include the candidate gene NRG1, suggesting that one or more other susceptibility loci might exist in the region. In this era of genomewide association and deep resequencing studies, consensus linkage regions deserve continued attention, given that linkage signals can be produced by many types of genomic variation, including any combination of multiple common or rare SNPs or copy number variants in a region.


Molecular Psychiatry | 2004

Multicenter linkage study of schizophrenia loci on chromosome 22q.

Bryan J. Mowry; Peter Holmans; Ann E. Pulver; Pablo V. Gejman; Brien P. Riley; Nigel Melville Williams; Claudine Laurent; S. G. Schwab; Dieter B. Wildenauer; Stephanie Bauche; Michael John Owen; Brandon Wormley; Alan R. Sanders; Gerald Nestadt; Kung Yee Liang; Jubao Duan; R. Ribble; Nadine Norton; Stéphane Soubigou; W. Maier; K R Ewen-White; Nicola DeMarchi; B Carpenter; Dermot Walsh; H. J. Williams; Maurice Jay; Margot Albus; D A Nertney; George N. Papadimitriou; Anthony O'Neill

The hypothesis of the existence of one or more schizophrenia susceptibility loci on chromosome 22q is supported by reports of genetic linkage and association, meta-analyses of linkage, and the observation of elevated risk for psychosis in people with velocardiofacial syndrome, caused by 22q11 microdeletions. We tested this hypothesis by evaluating 10 microsatellite markers spanning 22q in a multicenter sample of 779 pedigrees. We also incorporated age at onset and sex into the analysis as covariates. No significant evidence for linkage to schizophrenia or for linkage associated with earlier age at onset, gender, or heterogeneity across sites was observed. We interpret these findings to mean that the population-wide effects of putative 22q schizophrenia susceptibility loci are too weak to detect with linkage analysis even in large samples.


Molecular Psychiatry | 2007

A region of 35 kb containing the trace amine associate receptor 6 (TAAR6) gene is associated with schizophrenia in the Irish study of high-density schizophrenia families.

Vladimir I. Vladimirov; Po-Hsiu Kuo; Joseph L. McClay; Ayman H. Fanous; Brandon Wormley; Jen Vittum; R. Ribble; B. Moher; E J C G van den Oord; Francis O'Neill; Dominic M. Walsh; Kenneth S. Kendler; Brien P. Riley

The TAAR6 gene has been previously associated with schizophrenia in 192 pedigrees of European and African ancestry. To replicate these findings we performed an association study of TAAR6 in 265 pedigrees of the Irish Study of High-Density Schizophrenia Families (ISHDSF). Of the 24 genotyped single-nucleotide polymorphisms only rs12189813 and rs9389011 provided single-marker evidence for association (0.0094⩽P⩽0.03). Two-marker haplotypes (rs7772821 and rs12189813; 0.0071⩽P⩽0.0023) and four-marker haplotypes (rs8192622, rs7772821, rs12189813 and rs9389011; 0.0047⩽P⩽0.018) gave strongest evidence for association. The associated high-risk (HR) haplotype in the ISHDSF is defined by the major alleles at rs7772821 and rs12189813 (0.00097⩽P⩽0.023). The associated HR remains positive in a case only test of association by Operational Criteria score analysis in which significant association was observed only with the highest threshold for delusions (P<0.009). When analysis was restricted to affected individuals under the core schizophrenia (D2) diagnosis, the observed associations for HR were most significant in the highest threshold for delusions (P<0.004) and hallucinations (P<0.0004), supporting the family-based association with schizophrenia.

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Kenneth S. Kendler

Virginia Commonwealth University

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Brien P. Riley

Virginia Commonwealth University

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Dermot Walsh

Virginia Commonwealth University

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Ayman H. Fanous

Virginia Commonwealth University

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Brion S. Maher

Virginia Commonwealth University

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Ann E. Pulver

Johns Hopkins University School of Medicine

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Dominic M. Walsh

Brigham and Women's Hospital

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Vladimir I. Vladimirov

Virginia Commonwealth University

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