Publications by authors named "Pergadia M"

Introduction: Rates of light smoking have increased in recent years and are associated with adverse health outcomes. Reducing light smoking is a challenge because it is unclear why some but not others, progress to heavier smoking. Nicotine has profound effects on brain reward systems and individual differences in nicotine's reward-enhancing effects may drive variability in smoking trajectories.

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Depression is a risk factor for nicotine use and withdrawal. Population level epidemiologic studies that include users of either combustible or electronic cigarette (NICUSER) could inform interventions to reduce nicotine dependence in vulnerable populations. The current study examined the relationship between depression diagnosis (DEPDX), NICUSER, and lifetime rates of DSM-V nicotine withdrawal (NW) symptoms in a nationally representative sample of US adults ( = 979), who answered related questions in surveys administered through GfK's KnowledgePanel.

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Accurate knowledge of negative affect (NA)-related smoking abstinence symptoms (SAS) severity and duration and their moderation by pharmacotherapy and NA-related personality traits is critical for efficacious treatments given that elevated state and trait NA are predictors of relapse. However, SAS severity, duration, and moderation are not well characterized. To date, the longest randomized controlled trial (RCT) of NA-related SAS using randomized delayed-quit smoking controls only examined symptoms across 45 days, despite clinical evidence that SAS may last longer.

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Article Synopsis
  • A study investigated the genetic overlap between 25 brain disorders using data from over 1.2 million individuals, finding that psychiatric disorders share more genetic risk compared to neurological disorders, which seem more distinct.
  • The research identified significant relationships between these disorders and various cognitive measures, suggesting shared underlying traits.
  • Simulations were conducted to understand how factors like sample size and diagnosis accuracy influence genetic correlations, emphasizing the role of common genetic variations in the risk of brain disorders.
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Major depressive disorder (MDD) is a common, complex psychiatric disorder and a leading cause of disability worldwide. Despite twin studies indicating its modest heritability (~30-40%), extensive heterogeneity and a complex genetic architecture have complicated efforts to detect associated genetic risk variants. We combined single-nucleotide polymorphism (SNP) summary statistics from the CONVERGE and PGC studies of MDD, representing 10 502 Chinese (5282 cases and 5220 controls) and 18 663 European (9447 cases and 9215 controls) subjects.

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Background: The genetics of depression has been explored in genome-wide association studies that focused on either major depressive disorder or depressive symptoms with mostly negative findings. A broad depression phenotype including both phenotypes has not been tested previously using a genome-wide association approach. We aimed to identify genetic polymorphisms significantly associated with a broad phenotype from depressive symptoms to major depressive disorder.

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  • Major depressive disorder (MDD) is a complex mood disorder with genetic factors, but previous studies failed to find consistent genetic variants, prompting research into how age at onset affects genetic risk.
  • The study involved analyzing cases based on age of onset through genome-wide association studies, finding one significant genetic variant associated with adult-onset MDD, as well as evidence of differing genetic profiles between earlier and adult-onset MDD.
  • Results indicate that earlier-onset MDD shares more genetic similarities with schizophrenia and bipolar disorder, highlighting the importance of considering age at onset in genetic research of MDD.
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Anxiety disorders (ADs), namely generalized AD, panic disorder and phobias, are common, etiologically complex conditions with a partially genetic basis. Despite differing on diagnostic definitions based on clinical presentation, ADs likely represent various expressions of an underlying common diathesis of abnormal regulation of basic threat-response systems. We conducted genome-wide association analyses in nine samples of European ancestry from seven large, independent studies.

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The mu1 opioid receptor gene, OPRM1, has long been a high-priority candidate for human genetic studies of addiction. Because of its potential functional significance, the non-synonymous variant rs1799971 (A118G, Asn40Asp) in OPRM1 has been extensively studied, yet its role in addiction has remained unclear, with conflicting association findings. To resolve the question of what effect, if any, rs1799971 has on substance dependence risk, we conducted collaborative meta-analyses of 25 datasets with over 28,000 European-ancestry subjects.

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Importance: Reward-related disturbances after withdrawal from nicotine are hypothesized to contribute to relapse to tobacco smoking but mechanisms underlying and linking such processes remain largely unknown.

Objective: To determine whether withdrawal from nicotine affects reward responsiveness (ie, the propensity to modulate behavior as a function of prior reinforcement experience) across species using translational behavioral assessments in humans and rats.

Design, Setting, Participants: Experimental studies used analogous reward responsiveness tasks in both humans and rats to examine whether reward responsiveness varied in (1) an ad libitum smoking condition compared with a 24-hour acute nicotine abstinence condition in 31 human smokers with (n = 17) or without (n = 14) a history of depression; (2) rats 24 hours after withdrawal from chronic nicotine (n = 19) or saline (n = 20); and (3) rats following acute nicotine exposure after withdrawal from either chronic nicotine or saline administration.

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The etiology of major depressive disorder (MDD) is likely to be heterogeneous, but postpartum depression (PPD) is hypothesized to represent a more homogenous subset of MDD. We use genome-wide SNP data to explore this hypothesis. We assembled a total cohort of 1,420 self-report cases of PPD and 9,473 controls with genome-wide genotypes from Australia, The Netherlands, Sweden and the UK.

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Background: The aims of this study were to analyze associations of dopamine receptor genes (DRD1-5) with Major Depressive Disorder (MDD) and nicotine dependence (ND), and to investigate whether ND moderates genetic influences on MDD.

Methods: The sample was ascertained from the Finnish Twin Cohort. Twin pairs concordant for smoking history were recruited along with their family members, as part of the multisite Nicotine Addiction Genetics consortium.

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Disturbed sleep and disrupted circadian rhythms are a common feature of psychiatric disorders, and many groups have postulated an association between genetic variants in circadian clock genes and psychiatric disorders. Using summary data from the association analyses of the Psychiatric Genomics Consortia (PGC) for schizophrenia, bipolar disorder and major depressive disorder, we evaluated the evidence that common SNPs in genes encoding components of the molecular clock influence risk to psychiatric disorders. Initially, gene-based and SNP P-values were analyzed for 21 core circadian genes.

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Article Synopsis
  • This meta-analysis investigates if specific genetic markers (SNPs) are associated with early smoking behaviors, focusing on two key aspects: age of tobacco initiation (AOI) and age of first regular tobacco use (AOS).
  • Findings revealed significant associations between certain SNPs and AOS, indicating protective effects, while the well-known SNP rs16969968 did not correlate with either AOI or AOS, suggesting different genetic influences on early smoking compared to established nicotine dependence traits.
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Migraine and major depressive disorder (MDD) are comorbid, moderately heritable and to some extent influenced by the same genes. In a previous paper, we suggested the possibility of causality (one trait causing the other) underlying this comorbidity. We present a new application of polygenic (genetic risk) score analysis to investigate the mechanisms underlying the genetic overlap of migraine and MDD.

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Article Synopsis
  • * Using data from the Psychiatric Genomics Consortium, researchers found varying degrees of genetic relationships between disorders like schizophrenia, bipolar disorder, and major depressive disorder, indicating some shared genetic factors.
  • * The study suggests that understanding these shared genetic influences could help improve disorder classifications and lead to better treatments by exploring common biological causes.
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Smoking is a major risk factor for several somatic diseases and is also emerging as a causal factor for neuropsychiatric disorders. Genome-wide association (GWA) and candidate gene studies for smoking behavior and nicotine dependence (ND) have disclosed too few predisposing variants to account for the high estimated heritability. Previous large-scale GWA studies have had very limited phenotypic definitions of relevance to smoking-related behavior, which has likely impeded the discovery of genetic effects.

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Cigarette smoking is a common addiction that increases the risk for many diseases, including lung cancer and chronic obstructive pulmonary disease. Genome-wide association studies (GWAS) have successfully identified and validated several susceptibility loci for nicotine consumption and dependence. However, the trait variance explained by these genes is only a small fraction of the estimated genetic risk.

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  • Personality traits are complex and linked to health, but previous gene-finding methods have been largely unsuccessful in identifying genetic variants related to these traits.
  • A meta-analysis of multiple genome-wide linkage scans involving over 6,000 subjects identified specific chromosomes associated with traits like neuroticism, extraversion, and agreeableness.
  • The results also indicated that the 11q24 region is a significant locus for the personality trait openness, with the KCNJ1 gene being a potential candidate.
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Major depressive disorder (MDD) is a common psychiatric illness characterized by low mood and loss of interest in pleasurable activities. Despite years of effort, recent genome-wide association studies (GWAS) have identified few susceptibility variants or genes that are robustly associated with MDD. Standard single-SNP (single nucleotide polymorphism)-based GWAS analysis typically has limited power to deal with the extensive heterogeneity and substantial polygenic contribution of individually weak genetic effects underlying the pathogenesis of MDD.

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Background: Alcohol consumption has multiple biochemical consequences. Only a few of these are useful as diagnostic markers, but many reflect potentially harmful or beneficial effects of alcohol. Average consumption of 2 to 4 drinks per day is associated with lower overall or cardiovascular mortality risk than either lower or higher intake.

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