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Stephen V. Faraone

Bio: Stephen V. Faraone is an academic researcher from State University of New York Upstate Medical University. The author has contributed to research in topics: Attention deficit hyperactivity disorder & Bipolar disorder. The author has an hindex of 188, co-authored 1427 publications receiving 140298 citations. Previous affiliations of Stephen V. Faraone include University of Bergen & National Institute for Health Research.


Papers
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Journal ArticleDOI
TL;DR: The results suggest that the psychosocial adversity factors examined in this study do not explain the previous finding that offspring of parents with panic disorder are at high risk for behavioral inhibition.
Abstract: Objective: In a previous controlled study of offspring at risk for anxiety disorders, the authors found that parental panic disorder with comorbid major depression was associated with child behavioral inhibition, the temperamental tendency to be quiet and restrained in unfamiliar situations. To explore whether this association was mediated by environmental factors, the authors examined associations between psychosocial adversity variables and behavioral inhibition in this group of children. Method: Subjects included 200 offspring of parents with panic disorder and/or major depression and 84 comparison children of parents without mood or anxiety disorders. Behavioral inhibition was assessed through laboratory observations. The associations between behavioral inhibition and the following psychosocial factors were examined: socioeconomic status; an index of adversity factors found in previous studies to be additively associated with child psychopathology; family intactness, conflict, expressiveness, and cohesiveness; exposure to parental psychopathology; sibship size; birth order; and gender. Results: The results showed no associations between behavioral inhibition and any of the psychosocial factors in the study group as a whole, despite adequate power to detect medium effect sizes. Among low-risk comparison children only, some definitions of behavioral inhibition were associated with low socioeconomic status, low family cohesion, and female gender. Conclusions: The results suggest that the psychosocial adversity factors examined in this study do not explain the previous finding that offspring of parents with panic disorder are at high risk for behavioral inhibition.

35 citations

Journal ArticleDOI
TL;DR: A brief review of effective strategies for treating the most common psychiatric disorders associated with ADHD is provided and knowledge gaps in the understanding of treatment of comorbid disorders related to ADHD are discussed.
Abstract: Attention-deficit/hyperactivity disorder (ADHD) often occurs along with other psychiatric disorders, with estimated comorbidity rates of 50 – 90%. Comorbidity greatly influences presentation, diagnosis and prognosis, complicates treatment and significantly increases the morbidity and disease burden of ADHD. Commonly co-occurring psychiatric disorders are disruptive behavior disorder, anxiety, depression, bipolar disorder and substance use disorders. This article provides a brief review of effective strategies for treating the most common psychiatric disorders associated with ADHD. This paper also discusses knowledge gaps in the understanding of treatment of comorbid disorders associated with ADHD, and directions for future research.

35 citations

Journal ArticleDOI
TL;DR: The relationship between the C-759T and G-697C polymorphisms of HTR2C and ADHD in 488 Han Chinese families was examined and the need to explore the role of 5-HT2C receptor dysfunction in the pathogenesis of ADHD was highlighted.

35 citations

Journal ArticleDOI
TL;DR: Some evidence is provided that MAOA may be associated with the ADHD‐HI subtype and support the association between MAOA and impulsivity, which may be a potential endophenotype of ADHD.
Abstract: Monoamine oxidase A (MAOA) plays a critical role in the metabolism of monoamine neurotransmitters including serotonin (5-HT), norepinephrine (NE), and dopamine (DA). Genetic studies have found an association between MAOA and attentiondeficit/hyperactivity disorder (ADHD), especially impulsivity. However, there has been inconsistency among studies which may be due to the complexity and heterogeneity of ADHD, including its sexual dimorphism and the presence of several subtypes. We conducted transmission disequilibrium tests (TDTs) in 1,253 trios and found no association between five single nucleotide polymorphisms (SNPs) of MAOA with ADHD in general or in the predominantly inattentive (ADHD-I) or combined types (ADHD-C), but with the predominantly hyperactive/impulsivity type (ADHD-HI). The association with MAOA was restricted to males, especially males with ADHD-HI. Logistic regression analyses of data from 1,824 cases and 957 controls did not indicate any association. We used analysis of covariance to analyze the association between MAOA genotype with the ‘‘inhibit’’ factor of the Behavior Rating Inventory of Executive Function (BRIEF) in 640 probands and performance on the Stroop test in 810 probands. Probands homozygous for risk alleles found in the TDT test had higher ‘‘inhibit’’ scores on the BRIEF scale which represents more severe impulsivity; this results also was restricted to males. No association was found with Stroop test performance. In conclusion, our results provide some evidence that MAOA may be associated with the ADHD-HI subtype and support the association between MAOA and impulsivity, which may be a potential endophenotype of ADHD. However, the results were strongly influenced by gender. � 2011 Wiley-Liss, Inc.

35 citations

Journal ArticleDOI
TL;DR: The results helped to clarify the relationship between risk genes of each mental disorder and the intermediate cognitive domain, which may further help elucidate the risk genes and motivate efforts to develop EF measures as a diagnostic marker and future treatment target.
Abstract: Many psychiatric disorders are associated with impaired executive functioning (EF). The associated EF component varies by psychiatric disorders, and this variation might be due to genetic liability. We explored the genetic association between five psychiatric disorders and EF in clinically-recruited attention deficit hyperactivity disorder (ADHD) children using polygenic risk score (PRS) methodology. Genome-wide association study (GWAS) summary data for ADHD, major depressive disorder (MDD), schizophrenia (SZ), bipolar disorder (BIP) and autism were used to calculate the PRSs. EF was evaluated by the Stroop test for inhibitory control, the trail-making test for cognitive flexibility, and the digital span test for working memory in a Chinese ADHD cohort (n = 1147). Exploratory factor analysis of the three measures identified one principal component for EF (EF-PC). Linear regression models were used to analyze the association between each PRS and the EF measures. The role of EF measures in mediating the effects of the PRSs on ADHD symptoms was also analyzed. The result showed the PRSs for MDD, ADHD and BIP were all significantly associated with the EF-PC. For each EF component, the association results were different for the PRSs of the five psychiatric disorders: the PRSs for ADHD and MDD were associated with inhibitory control (adjusted P = 0.0183 and 0.0313, respectively), the PRS for BIP was associated with working memory (adjusted P = 0.0416), and the PRS for SZ was associated with cognitive flexibility (adjusted P = 0.0335). All three EF measures were significantly correlated with ADHD symptoms. In mediation analyses, the ADHD and MDD PRSs, which were associated with inhibitory control, had significant indirect effects on ADHD symptoms through the mediation of inhibitory control. These findings indicate that the polygenic risks for several psychiatric disorders influence specific executive dysfunction in children with ADHD. The results helped to clarify the relationship between risk genes of each mental disorder and the intermediate cognitive domain, which may further help elucidate the risk genes and motivate efforts to develop EF measures as a diagnostic marker and future treatment target.

35 citations


Cited by
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28 Jul 2005
TL;DR: PfPMP1)与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作�ly.
Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1(PfPMP1)与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员,通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

18,940 citations

01 Jan 2016
TL;DR: The using multivariate statistics is universally compatible with any devices to read, allowing you to get the most less latency time to download any of the authors' books like this one.
Abstract: Thank you for downloading using multivariate statistics. As you may know, people have look hundreds times for their favorite novels like this using multivariate statistics, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful bugs inside their laptop. using multivariate statistics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the using multivariate statistics is universally compatible with any devices to read.

14,604 citations

Journal Article
TL;DR: For the next few weeks the course is going to be exploring a field that’s actually older than classical population genetics, although the approach it’ll be taking to it involves the use of population genetic machinery.
Abstract: So far in this course we have dealt entirely with the evolution of characters that are controlled by simple Mendelian inheritance at a single locus. There are notes on the course website about gametic disequilibrium and how allele frequencies change at two loci simultaneously, but we didn’t discuss them. In every example we’ve considered we’ve imagined that we could understand something about evolution by examining the evolution of a single gene. That’s the domain of classical population genetics. For the next few weeks we’re going to be exploring a field that’s actually older than classical population genetics, although the approach we’ll be taking to it involves the use of population genetic machinery. If you know a little about the history of evolutionary biology, you may know that after the rediscovery of Mendel’s work in 1900 there was a heated debate between the “biometricians” (e.g., Galton and Pearson) and the “Mendelians” (e.g., de Vries, Correns, Bateson, and Morgan). Biometricians asserted that the really important variation in evolution didn’t follow Mendelian rules. Height, weight, skin color, and similar traits seemed to

9,847 citations

Journal ArticleDOI
Paul Burton1, David Clayton2, Lon R. Cardon, Nicholas John Craddock3  +192 moreInstitutions (4)
07 Jun 2007-Nature
TL;DR: This study has demonstrated that careful use of a shared control group represents a safe and effective approach to GWA analyses of multiple disease phenotypes; generated a genome-wide genotype database for future studies of common diseases in the British population; and shown that, provided individuals with non-European ancestry are excluded, the extent of population stratification in theBritish population is generally modest.
Abstract: There is increasing evidence that genome-wide association ( GWA) studies represent a powerful approach to the identification of genes involved in common human diseases. We describe a joint GWA study ( using the Affymetrix GeneChip 500K Mapping Array Set) undertaken in the British population, which has examined similar to 2,000 individuals for each of 7 major diseases and a shared set of similar to 3,000 controls. Case-control comparisons identified 24 independent association signals at P < 5 X 10(-7): 1 in bipolar disorder, 1 in coronary artery disease, 9 in Crohn's disease, 3 in rheumatoid arthritis, 7 in type 1 diabetes and 3 in type 2 diabetes. On the basis of prior findings and replication studies thus-far completed, almost all of these signals reflect genuine susceptibility effects. We observed association at many previously identified loci, and found compelling evidence that some loci confer risk for more than one of the diseases studied. Across all diseases, we identified a large number of further signals ( including 58 loci with single-point P values between 10(-5) and 5 X 10(-7)) likely to yield additional susceptibility loci. The importance of appropriately large samples was confirmed by the modest effect sizes observed at most loci identified. This study thus represents a thorough validation of the GWA approach. It has also demonstrated that careful use of a shared control group represents a safe and effective approach to GWA analyses of multiple disease phenotypes; has generated a genome-wide genotype database for future studies of common diseases in the British population; and shown that, provided individuals with non-European ancestry are excluded, the extent of population stratification in the British population is generally modest. Our findings offer new avenues for exploring the pathophysiology of these important disorders. We anticipate that our data, results and software, which will be widely available to other investigators, will provide a powerful resource for human genetics research.

9,244 citations