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.

Pediatric mania: a developmental subtype of bipolar disorder?

Abstract: Despite ongoing controversy, the view that pediatric mania is rare or non-existent has been increasingly challenged not only by case reports but also by systematic research. This research strongly suggests that pediatric mania may not be rare but that it may be difficult to diagnose. Since children with mania are likely to become adults with bipolar disorder, the recognition and characterization of childhood-onset mania may help identify a meaningful developmental subtype of bipolar disorder worthy of further investigation. The major difficulties that complicate the diagnosis of pediatric mania include: - its pattern of comorbidity may be unique by adult standards, especially its overlap with ADHD, aggression and conduct disorder; - its overlap with substance use disorders; - its association with trauma and adversity; - its response to treatment is atypical by adult standards. These issues will be reviewed in the presentation.

Parsing the Comorbidity Between Bipolar Disorder and Anxiety Disorders: A Familial Risk Analysis

Abstract: Background: A growing literature suggests that anxiety disorders (ANX) co-occur with bipolar disorder (BPD), but the nature of this overlap is unknown. Thus, we investigated the familial association between BPD and ANX among the first-degree relatives of children with BPD with and without comorbid ANX. Methods: We compared relatives of four proband groups defined by the presence or absence of BPD and ANX in the proband: (1) BPD + ANX (n = 23 probands, 74 relatives), (2) BPD without ANX (n = 11 probands, 38 relatives), (3) ANX without BPD (n = 48 probands, 167 relatives), and (4) controls without BPD or ANX (n = 118 probands, 385 relatives). All subjects were evaluated with structured diagnostic interviews. Diagnoses of relatives were made blind to the diagnoses of probands. Results: The results show high rates of both BPD and ANX in relatives of children with BPD + ANX. Moreover, BPD and ANX cosegregated among the relatives of children with BPD + ANX. Although relatives of both ANX proband groups (with an...

Is attention deficit hyperactivity disorder a valid diagnosis in the presence of high IQ? Results from the MGH Longitudinal Family Studies of ADHD.

Abstract: Background: The aim of this study was to assess the validity of diagnosing attention deficit/hyperactivity disorder (ADHD) in high IQ children and to further characterize the clinical features associated with their ADHD. Methods: We operationalized giftedness/high IQ as having a full scale IQ ≥120. We identified 92 children with a high IQ who did not have ADHD and 49 children with a high IQ that met diagnostic criteria for ADHD who had participated in the Massachusetts General Hospital Longitudinal Family Studies of ADHD. Results: Of our participants with ADHD and a high IQ, the majority (n = 35) met criteria for the Combined subtype. Relative to control participants, children with ADHD and high IQ had a higher prevalence rate of familial ADHD in first-degree relatives, repeated grades more often, had a poorer performance on the WISC-III Block Design, had more comorbid psychopathology, and had more functional impairments across a number of domains. Conclusions: Children with a high IQ and ADHD showed a pattern of familiality as well as cognitive, psychiatric and behavioral features consistent with the diagnosis of ADHD in children with average IQ. These data suggest that the diagnosis of ADHD is valid among high IQ children.

Predictors of persistence in girls with attention deficit hyperactivity disorder: results from an 11-year controlled follow-up study.

Abstract: Objective This study sought to examine the age-dependent persistence of attention-deficit/hyperactivity disorder (ADHD) and its predictors in a large sample of girls with and without ADHD followed prospectively for 11 years into young adulthood.

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

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。

Using Multivariate Statistics

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Human biochemical genetics

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

Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

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.