Network


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

Hotspot


Dive into the research topics where Michele L. Pergadia is active.

Publication


Featured researches published by Michele L. Pergadia.


PLOS Genetics | 2010

Multiple Independent Loci at Chromosome 15q25.1 Affect Smoking Quantity: a Meta-Analysis and Comparison with Lung Cancer and COPD

Nancy L. Saccone; Robert Culverhouse; Tae-Hwi Schwantes-An; Dale S. Cannon; Xiangning Chen; Sven Cichon; Ina Giegling; Shizhong Han; Younghun Han; Kaisu Keskitalo-Vuokko; Xiangyang Kong; Maria Teresa Landi; Jennie Z. Ma; Susan E. Short; Sarah H. Stephens; Victoria L. Stevens; Lingwei Sun; Yufei Wang; Angela S. Wenzlaff; Steven H. Aggen; Naomi Breslau; Peter Broderick; Nilanjan Chatterjee; Jingchun Chen; Andrew C. Heath; Markku Heliövaara; Nicole R. Hoft; David J. Hunter; Majken K. Jensen; Nicholas G. Martin

Recently, genetic association findings for nicotine dependence, smoking behavior, and smoking-related diseases converged to implicate the chromosome 15q25.1 region, which includes the CHRNA5-CHRNA3-CHRNB4 cholinergic nicotinic receptor subunit genes. In particular, association with the nonsynonymous CHRNA5 SNP rs16969968 and correlates has been replicated in several independent studies. Extensive genotyping of this region has suggested additional statistically distinct signals for nicotine dependence, tagged by rs578776 and rs588765. One goal of the Consortium for the Genetic Analysis of Smoking Phenotypes (CGASP) is to elucidate the associations among these markers and dichotomous smoking quantity (heavy versus light smoking), lung cancer, and chronic obstructive pulmonary disease (COPD). We performed a meta-analysis across 34 datasets of European-ancestry subjects, including 38,617 smokers who were assessed for cigarettes-per-day, 7,700 lung cancer cases and 5,914 lung-cancer-free controls (all smokers), and 2,614 COPD cases and 3,568 COPD-free controls (all smokers). We demonstrate statistically independent associations of rs16969968 and rs588765 with smoking (mutually adjusted p-values<10−35 and <10−8 respectively). Because the risk alleles at these loci are negatively correlated, their association with smoking is stronger in the joint model than when each SNP is analyzed alone. Rs578776 also demonstrates association with smoking after adjustment for rs16969968 (p<10−6). In models adjusting for cigarettes-per-day, we confirm the association between rs16969968 and lung cancer (p<10−20) and observe a nominally significant association with COPD (pu200a=u200a0.01); the other loci are not significantly associated with either lung cancer or COPD after adjusting for rs16969968. This study provides strong evidence that multiple statistically distinct loci in this region affect smoking behavior. This study is also the first report of association between rs588765 (and correlates) and smoking that achieves genome-wide significance; these SNPs have previously been associated with mRNA levels of CHRNA5 in brain and lung tissue.


American Journal of Medical Genetics | 2009

Multiple distinct risk loci for nicotine dependence identified by dense coverage of the complete family of nicotinic receptor subunit (CHRN) genes

Nancy L. Saccone; Scott F. Saccone; Anthony L. Hinrichs; Jerry A. Stitzel; Weimin Duan; Michele L. Pergadia; Arpana Agrawal; Naomi Breslau; Richard A. Grucza; Dorothy K. Hatsukami; Eric O. Johnson; Pamela A. F. Madden; Gary E. Swan; Jen C. Wang; Alison Goate; John P. Rice; Laura J. Bierut

Tobacco smoking continues to be a leading cause of preventable death. Recent research has underscored the important role of specific cholinergic nicotinic receptor subunit (CHRN) genes in risk for nicotine dependence and smoking. To detect and characterize the influence of genetic variation on vulnerability to nicotine dependence, we analyzed 226 SNPs covering the complete family of 16 CHRN genes, which encode the nicotinic acetylcholine receptor (nAChR) subunits, in a sample of 1,050 nicotine‐dependent cases and 879 non‐dependent controls of European descent. This expanded SNP coverage has extended and refined the findings of our previous large‐scale genome‐wide association and candidate gene study. After correcting for the multiple tests across this gene family, we found significant association for two distinct loci in the CHRNA5–CHRNA3–CHRNB4 gene cluster, one locus in the CHRNB3–CHRNA6 gene cluster, and a fourth, novel locus in the CHRND–CHRNG gene cluster. The two distinct loci in CHRNA5–CHRNA3–CHRNB4 are represented by the non‐synonymous SNP rs16969968 in CHRNA5 and by rs578776 in CHRNA3, respectively, and joint analyses show that the associations at these two SNPs are statistically independent. Nominally significant single‐SNP association was detected in CHRNA4 and CHRNB1. In summary, this is the most comprehensive study of the CHRN genes for involvement with nicotine dependence to date. Our analysis reveals significant evidence for at least four distinct loci in the nicotinic receptor subunit genes that each influence the transition from smoking to nicotine dependence and may inform the development of improved smoking cessation treatments and prevention initiatives.


Molecular Psychiatry | 2012

Meta-analysis of genome-wide association studies for personality

M.H.M. de Moor; Paul T. Costa; Antonio Terracciano; Robert F. Krueger; E.J.C. de Geus; T Toshiko; Brenda W. J. H. Penninx; Tonu Esko; P. A. F. Madden; Jaime Derringer; Najaf Amin; Gonneke Willemsen; J.J. Hottenga; Marijn A. Distel; Manuela Uda; Serena Sanna; Philip Spinhoven; C. A. Hartman; Patrick F. Sullivan; Anu Realo; Jüri Allik; A. C. Heath; Michele L. Pergadia; Arpana Agrawal; Peng Lin; Richard A. Grucza; Teresa Nutile; Marina Ciullo; Dan Rujescu; Ina Giegling

Personality can be thought of as a set of characteristics that influence peoples thoughts, feelings and behavior across a variety of settings. Variation in personality is predictive of many outcomes in life, including mental health. Here we report on a meta-analysis of genome-wide association (GWA) data for personality in 10 discovery samples (17u2009375 adults) and five in silico replication samples (3294 adults). All participants were of European ancestry. Personality scores for Neuroticism, Extraversion, Openness to Experience, Agreeableness and Conscientiousness were based on the NEO Five-Factor Inventory. Genotype data of ∼2.4M single-nucleotide polymorphisms (SNPs; directly typed and imputed using HapMap data) were available. In the discovery samples, classical association analyses were performed under an additive model followed by meta-analysis using the weighted inverse variance method. Results showed genome-wide significance for Openness to Experience near the RASA1 gene on 5q14.3 (rs1477268 and rs2032794, P=2.8 × 10−8 and 3.1 × 10−8) and for Conscientiousness in the brain-expressed KATNAL2 gene on 18q21.1 (rs2576037, P=4.9 × 10−8). We further conducted a gene-based test that confirmed the association of KATNAL2 to Conscientiousness. In silico replication did not, however, show significant associations of the top SNPs with Openness and Conscientiousness, although the direction of effect of the KATNAL2 SNP on Conscientiousness was consistent in all replication samples. Larger scale GWA studies and alternative approaches are required for confirmation of KATNAL2 as a novel gene affecting Conscientiousness.


Biological Psychiatry | 2011

A quantitative-trait genome-wide association study of alcoholism risk in the community: findings and implications.

Andrew C. Heath; John Whitfield; Nicholas G. Martin; Michele L. Pergadia; Alison Goate; Penelope A. Lind; Brian P. McEvoy; Andrew J. Schrage; Julia D. Grant; Yi-Ling Chou; Rachel Zhu; Anjali K. Henders; Sarah E. Medland; Scott D. Gordon; Elliot C. Nelson; Arpana Agrawal; Dale R. Nyholt; Kathleen K. Bucholz; Pamela A. F. Madden; Grant W. Montgomery

BACKGROUNDnGiven moderately strong genetic contributions to variation in alcoholism and heaviness of drinking (50% to 60% heritability) with high correlation of genetic influences, we have conducted a quantitative trait genome-wide association study (GWAS) for phenotypes related to alcohol use and dependence.nnnMETHODSnDiagnostic interview and blood/buccal samples were obtained from sibships ascertained through the Australian Twin Registry. Genome-wide single nucleotide polymorphism (SNP) genotyping was performed with 8754 individuals (2062 alcohol-dependent cases) selected for informativeness for alcohol use disorder and associated quantitative traits. Family-based association tests were performed for alcohol dependence, dependence factor score, and heaviness of drinking factor score, with confirmatory case-population control comparisons using an unassessed population control series of 3393 Australians with genome-wide SNP data.nnnRESULTSnNo findings reached genome-wide significance (p = 8.4 × 10(-8) for this study), with lowest p value for primary phenotypes of 1.2 × 10(-7). Convergent findings for quantitative consumption and diagnostic and quantitative dependence measures suggest possible roles for a transmembrane protein gene (TMEM108) and for ANKS1A. The major finding, however, was small effect sizes estimated for individual SNPs, suggesting that hundreds of genetic variants make modest contributions (1/4% of variance or less) to alcohol dependence risk.nnnCONCLUSIONSnWe conclude that 1) meta-analyses of consumption data may contribute usefully to gene discovery; 2) translation of human alcoholism GWAS results to drug discovery or clinically useful prediction of risk will be challenging; and 3) through accumulation across studies, GWAS data may become valuable for improved genetic risk differentiation in research in biological psychiatry (e.g., prospective high-risk or resilience studies).


Nicotine & Tobacco Research | 2004

Impulsivity and smoking relapse

Neal Doran; Bonnie Spring; Dennis E. McChargue; Michele L. Pergadia; Malia Richmond

Previous research has shown that elevated trait-impulsivity heightens the risk for initiating tobacco use and indicates that nicotine may be disproportionately rewarding for more impulsive persons. However, the influence of impulsivity on the ability to maintain nicotine abstinence has not been studied. The present study tested the hypothesis that a higher level of trait-impulsivity would predict a more rapid relapse to smoking following 48 hr of nicotine abstinence. Participants were euthymic, regular smokers (N=45), with a history of at least one major depressive episode, who participated in a paid smoking cessation study with biological challenge (tryptophan depletion). Treatment involved a 1-day skills training workshop followed by 48 hr of bioverified abstinence and weekly follow-up for 1 month. Regression analyses indicated that elevated impulsivity predicted shorter time to relapse following the workshop after controlling for treatment condition, baseline nicotine dependence, and age (beta=-.39, R(2) change=.147, p=.011). Greater impulsivity predicted more rapid relapse to smoking, which mediational analyses indicated could not be explained by positive affect, negative affect, or craving. Findings suggest a need to identify alternative mechanisms to explain impulsive smokers increased difficulty in maintaining abstinence and to develop targeted treatments that address the special needs of smokers high in impulsivity.


Twin Research and Human Genetics | 2010

A genomewide association study of nicotine and alcohol dependence in Australian and Dutch populations

Penelope A. Lind; Stuart Macgregor; Jacqueline M. Vink; Michele L. Pergadia; Narelle K. Hansell; Marleen H. M. de Moor; August B. Smit; Jouke-Jan Hottenga; Melinda M. Richter; Andrew C. Heath; Nicholas G. Martin; Gonneke Willemsen; Eco J. C. de Geus; Nicole Vogelzangs; Brenda W.J.H. Penninx; John Whitfield; Grant W. Montgomery; Dorret I. Boomsma; Pamela A. F. Madden

Persistent tobacco use and excessive alcohol consumption are major public health concerns worldwide. Both alcohol and nicotine dependence (AD, ND) are genetically influenced complex disorders that exhibit a high degree of comorbidity. To identify gene variants contributing to one or both of these addictions, we first conducted a pooling-based genomewide association study (GWAS) in an Australian population, using Illumina Infinium 1M arrays. Allele frequency differences were compared between pooled DNA from case and control groups for: (1) AD, 1224 cases and 1162 controls; (2) ND, 1273 cases and 1113 controls; and (3) comorbid AD and ND, 599 cases and 488 controls. Secondly, we carried out a GWAS in independent samples from the Netherlands for AD and for ND. Thirdly, we performed a meta-analysis of the 10,000 most significant AD- and ND-related SNPs from the Australian and Dutch samples. In the Australian GWAS, one SNP achieved genomewide significance (p < 5 x 10(-8)) for ND (rs964170 in ARHGAP10 on chromosome 4, p = 4.43 x 10(-8)) and three others for comorbid AD/ND (rs7530302 near MARK1 on chromosome 1 (p = 1.90 x 10(-9)), rs1784300 near DDX6 on chromosome 11 (p = 2.60 x 10(-9)) and rs12882384 in KIAA1409 on chromosome 14 (p = 4.86 x 10(-8))). None of the SNPs achieved genomewide significance in the Australian/Dutch meta-analysis, but a gene network diagram based on the top-results revealed overrepresentation of genes coding for ion-channels and cell adhesion molecules. Further studies will be required before the detailed causes of comorbidity between AD and ND are understood.


Preventive Medicine | 2010

The effects of maternal smoking during pregnancy on offspring outcomes

Arpana Agrawal; Jeffrey F. Scherrer; Julia D. Grant; Carolyn E. Sartor; Michele L. Pergadia; Alexis E. Duncan; Pamela A. F. Madden; Jon Randolph Haber; Theodore Jacob; Kathleen K. Bucholz; Hong Xian

OBJECTIVEnTo evaluate the possible association between maternal smoking during pregnancy and offspring outcomes of birth weight, pre-term birth, remediation, low scholastic achievement, regular smoking, attention deficit hyperactivity disorder and conduct problems while controlling for similar behaviors in parents.nnnMETHODSnUsing telephone interviews, data were collected, in 2001 and 2004, as a part of two United States offspring-of-twins projects. Fathers, who were twins participating in the Vietnam Era Twin Registry, their female spouse and their offspring were interviewed - information on 1,342 unique pregnancies in mothers with a history of regular smoking was utilized for these analyses. The association between maternal smoking during pregnancy and birth weight, pre-term birth, remediation, low scholastic achievement, regular smoking, attention deficit hyperactivity disorder and conduct disorder while controlling for similar behaviors in parents, was examined using regression.nnnRESULTSnMaternal smoking during pregnancy was associated with decreased birth weight, low scholastic achievement, regular smoking and attention deficit hyperactivity disorder. However, the association between maternal smoking during pregnancy and offspring attention deficit hyperactivity disorder was explained by maternal attention deficit hyperactivity disorder. Maternal smoking during pregnancy was also associated with earlier age of offspring initiation of smoking and onset of regular smoking.nnnCONCLUSIONSnMaternal smoking during pregnancy may influence certain offspring outcomes via mechanisms that are independent from genetic risk attributable to comorbid conditions. Assisting expecting mothers with their smoking cessation efforts will likely provide widespread health benefits to both mother and offspring.


Biological Psychiatry | 2009

Accurate, Large-Scale Genotyping of 5HTTLPR and Flanking Single Nucleotide Polymorphisms in an Association Study of Depression, Anxiety, and Personality Measures

Naomi R. Wray; Michael R. James; Scott D. Gordon; Troy Dumenil; Leanne Ryan; William L. Coventry; Dixie J. Statham; Michele L. Pergadia; Pamela A. F. Madden; Andrew C. Heath; Grant W. Montgomery; Nicholas G. Martin

BACKGROUNDnThe length polymorphism repeat in the promoter region of the serotonin transporter gene (5HTTLPR) is one of the most studied polymorphisms for association with a range of psychiatric and personality phenotypes. However, the original 5HTTLPR assay is prone to bias toward short allele calling.nnnMETHODSnWe designed new assays for the 5HTTLPR suitable for large-scale genotyping projects and we genotyped 13 single nucleotide polymorphisms (SNPs) in a 38-kilobase region around the 5HTTLPR, including SNP rs25531, a polymorphism of the 5HTTLPR long allele. Association analysis was conducted for major depression and/or anxiety disorder in unrelated cases (n = 1161) and control subjects (n = 1051) identified through psychiatric interviews administered to a large population sample of Australian twin families. Participants had been scored for personality traits several years earlier (n > or = 2643 unrelated individuals).nnnRESULTSnWe identified a two-SNP haplotype proxy for 5HTTLPR; the CA haplotype of SNPs rs4251417 and rs2020934 is coupled with the short allele of 5HTTLPR (r(2) = .72). We found evidence for association (p = .0062, after accounting for multiple testing) for SLC6A4 SNPs rs6354 and rs2020936 (positioned in a different linkage disequilibrium [LD] block about 15.5 kb from 5HTTLPR) with anxiety and/or depression and neuroticism, with the strongest association for recurrent depression with onset in young adulthood (odds ratio = 1.55, 95% confidence interval = 1.16-2.06).nnnCONCLUSIONSnThe associated SNPs are in the same LD block as the variable number of tandem repeats serotonin transporter intron 2 marker, for which association has previously been reported.


American Journal of Human Genetics | 2007

Genetic Linkage to Chromosome 22q12 for a Heavy-Smoking Quantitative Trait in Two Independent Samples

Scott F. Saccone; Michele L. Pergadia; Anu Loukola; Ulla Broms; Grant W. Montgomery; Jen C. Wang; Arpana Agrawal; Danielle M. Dick; Andrew C. Heath; Alexandre A. Todorov; Heidi Maunu; Kauko Heikkilä; Katherine I. Morley; John P. Rice; Richard D. Todd; Jaakko Kaprio; Leena Peltonen; Nicholas G. Martin; Alison Goate; Pamela A. F. Madden

We conducted a genomewide linkage screen of a simple heavy-smoking quantitative trait, the maximum number of cigarettes smoked in a 24-h period, using two independent samples: 289 Australian and 155 Finnish nuclear multiplex families, all of which were of European ancestry and were targeted for DNA analysis by use of probands with a heavy-smoking phenotype. We analyzed the trait, using a regression of identity-by-descent allele sharing on the sum and difference of the trait values for relative pairs. Suggestive linkage was detected on chromosome 22 at 27-29 cM in each sample, with a LOD score of 5.98 at 26.96 cM in the combined sample. After additional markers were used to localize the signal, the LOD score was 5.21 at 25.46 cM. To assess the statistical significance of the LOD score in the combined sample, 1,000 simulated genomewide screens were conducted, resulting in an empirical P value of .006 for the LOD score of 5.21. This linkage signal is driven mainly by the microsatellite marker D22S315 (22.59 cM), which had a single-point LOD score of 5.41 in the combined sample and an empirical P value <.001 from 1,000 simulated genomewide screens. This marker is located within an intron of the gene ADRBK2, encoding the beta-adrenergic receptor kinase 2. Fine mapping of this linkage region may reveal variants contributing to heaviness of smoking, which will lead to a better understanding of the genetic mechanisms underlying nicotine dependence.


Biological Psychiatry | 2009

Alcohol Consumption Indices of Genetic Risk for Alcohol Dependence

Julia D. Grant; Arpana Agrawal; Kathleen K. Bucholz; Pamela A. F. Madden; Michele L. Pergadia; Elliot C. Nelson; Michael T. Lynskey; Richard D. Todd; Alexandre A. Todorov; Narelle K. Hansell; John Whitfield; Nicholas G. Martin; Andrew C. Heath

BACKGROUNDnPrevious research has reported a significant genetic correlation between heaviness of alcohol consumption and alcohol dependence (AD), but this association might be driven by the influence of AD on consumption rather than the reverse. We test the genetic overlap between AD symptoms and a heaviness of consumption measure among individuals who do not have AD. A high genetic correlation between these measures would suggest that a continuous measure of consumption may have a useful role in the discovery of genes contributing to dependence risk.nnnMETHODSnFactor analysis of five alcohol use measures was used to create a measure of heaviness of alcohol consumption. Quantitative genetic analyses of interview data from the 1989 Australian Twin Panel (n = 6257 individuals; M = 29.9 years) assessed the genetic overlap between heaviness of consumption, DSM-IV AD symptoms, DSM-IV AD symptom clustering, and DSM-IV alcohol abuse.nnnRESULTSnGenetic influences accounted for 30%-51% of the variance in the alcohol measures and genetic correlations were .90 or higher for all measures, with the correlation between consumption and dependence symptoms among nondependent individuals estimated at .97 (95% confidence interval: .80-1.00).nnnCONCLUSIONSnHeaviness of consumption and AD symptoms have a high degree of genetic overlap even among nondependent individuals in the general population, implying that genetic influences on dependence risk in the general population are acting to a considerable degree through heaviness of use and that quantitative measures of consumption will likely have a useful role in the identification of genes contributing to AD.

Collaboration


Dive into the Michele L. Pergadia's collaboration.

Top Co-Authors

Avatar

Pamela A. F. Madden

Washington University in St. Louis

View shared research outputs
Top Co-Authors

Avatar

Andrew C. Heath

Washington University in St. Louis

View shared research outputs
Top Co-Authors

Avatar

Arpana Agrawal

Washington University in St. Louis

View shared research outputs
Top Co-Authors

Avatar

Nicholas G. Martin

QIMR Berghofer Medical Research Institute

View shared research outputs
Top Co-Authors

Avatar

Kathleen K. Bucholz

Washington University in St. Louis

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Alison Goate

Icahn School of Medicine at Mount Sinai

View shared research outputs
Top Co-Authors

Avatar

Julia D. Grant

Washington University in St. Louis

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Elliot C. Nelson

Washington University in St. Louis

View shared research outputs
Researchain Logo
Decentralizing Knowledge