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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 support the idea that neuropsychological dysfunction among relatives of patients with schizophrenia is a stable trait caused by the familial predisposition to schizophrenia.
Abstract: In a prior study of 54 relatives of patients with schizophrenia and 72 control participants, 3 neuropsychological functions met the criteria for risk indicators of the schizophrenia genotype: executive functioning, memory, and auditory attention. In an assessment of the stability of these findings, the sample was reexamined 4 years after the initial assessment. Three test scores were found to differ between groups (Immediate Verbal Memory, Delayed Verbal Memory, and Dichotic Listening Digits Detected) or to show a significant Group x Gender interaction (immediate and delayed verbal and visual memories). None of the test scores showed Group x Time interactions, suggesting that the discriminating power of the tests was stable over time. Evidence for deficits in working memory and rule learning on the object alternation test was also found. These results support the idea that neuropsychological dysfunction among relatives of patients with schizophrenia is a stable trait caused by the familial predisposition to schizophrenia.

143 citations

Journal ArticleDOI
TL;DR: Findings suggest that girls with ADHD may be less vulnerable to executive function deficits than boys, and that neuropsychological performance on tests of executive function was less impaired than that previously documented in boys with ADHD.
Abstract: Objective Attention-deficit hyperactivity disorder (ADHD) is known to have neuropsychological consequences that are evident from psychological tests and from measures of school failure. However, most available data are based on studies of boys. Our goal was to assess, in this pilot study, whether ADHD in girls expressed neuropsychological features similar to those found in boys. Method Subjects were 43 girls, aged 6 to 17 years, with DSM-III-R ADHD and 36 comparison girls without ADHD. Information on neuropsychological performance was obtained in a standardized manner blind to clinical status. Results Girls with ADHD were significantly more impaired on estimated IQ than comparison girls despite being matched on other demographic variables. Relative to comparison girls, the girls with ADHD were also significantly more impaired on the Freedom From Distractibility subtests of the WISC-R and on arithmetic and reading achievement scores. Although their mean performance on executive function tests was generally poorer than that of control girls, there were no statistically significant differences on these measures. Conclusions Girls with ADHD have impairments in some tests of attention and achievement. However, neuropsychological performance on tests of executive function was less impaired than that previously documented in boys with ADHD. If confirmed in a larger sample, these findings suggest that girls with ADHD may be less vulnerable to executive function deficits than boys.

142 citations

Journal ArticleDOI
TL;DR: The most prominent findings in genetics research on ADHD are the association with the 10-repeat-allele of a variable number tandem repeat (VNTR) in the 3'-untranslated region of the DA transporter gene as discussed by the authors.
Abstract: Introduction: One of the most prominent findings in genetics research on ADHD is the association with the 10-repeat-allele of a variable number tandem repeat (VNTR) in the 3'-untranslated region of the DA transporter gene. -- Despite a large number of positive reports the net-effect across studies is small with evidence for heterogeneity. -- One source of heterogeneity could arise if the 10-repeat allele tags a nearby functional variant (in partial linkage disequilibrium (LD) with the 10-repeat allele, with different levels of LD occurring in different populations) or interacts with another locus (additional DNA variants in DAT1 gene). Brookes et al., 2006 Arch. Gen. Psychiat., 63, 74-81 reported the association of ADHD with a sub-group of chromosomes, containing the 10-repeat-allele & the 3-repeat-allele of another VNTR in intron 8 a) The IMAGE final sample -- consisted of 998 families with 1,159 DSM-IV combined type probands. DNA from both parents available for 83.9% of cases, & 1 parent for 16.1% of cases. 93.5% were Ms, 61.5% had co-morbid oppositional defiant disorder & 23.2% conduct disorder. 76% of the sample was receiving medication for ADHD at the time of the research evaluations. Analysis was performed using the transmission disequilibrium test implemented in UNPHASED (www.hgmp.mrc.ac.uk/Registered/Options/unphased.html). b) We now report further replication of this finding (above)-- . with an overall odds ratio of 1.4 across our samples (P = 4.26 x 10-5, and haplotype-specific-P =6 x 10-7). (i.e., combination of 10-repeat allele with 3-repeat allele of a 30-bp VNTR located within intron 8 -- all other haplotype combinations are under-transmitted). c) These data-challenge -- meta-analyses suggesting there is no or little effect of DAT1 variation on risk for ADHD. Further investigation of functional variation across DAT1 is required.

142 citations

01 Jan 2005
TL;DR: A comprehensive review of existing imaging studies of DAT binding in ADHD shows that six of eight independent studies by six different groups have reported increased binding in (mostly) treatment-naive children and adults with ADHD.
Abstract: There is converging evidence of the role of catecholamine dysregulation in the underlying pathophysiology of attention-deficit/ hyperactivity disorder (ADHD). The dopamine transporter (DAT) is known to be a key regulator of dopamine, and recent genetic, treatment, and imaging studies have highlighted the role of DAT in ADHD. There is an emerging literature on in vivo neuroreceptor imaging of DAT in ADHD and control subjects reported by a number of groups internationally. A comprehensive review of existing imaging studies of DAT binding in ADHD shows that six of eight independent studies by six different groups have reported increased DAT binding in (mostly) treatment-naive children and adults with ADHD. Although there is fair agreement regarding the presence and direction of abnormal DAT binding, there remains disagreement as to the magnitude of the finding and the importance of many potentially confounding variables, including clinical characteristics and imaging methodology. Three studies by three different groups have reported decreased DAT binding after methylphenidate treatment. Interpretation of the latter finding awaits clarification of the issue of timing of drug administration and imaging to disentangle receptor occupancy from downregulation.

142 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