Pak Sham

The University of Hong Kong, Hong Kong, Hong Kong

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Publications (372)2225.69 Total impact

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    ABSTRACT: Although expression quantitative trait locus, eQTL, serves as an explicit indicator of gene-gene associations, challenges remain to disentangle the mechanisms by which genetic variations alter gene expression. Here we combined eQTL and molecular analyses to identify an association between two seemingly non-associated genes in brain expression data from BXD inbred mice, namely Ptpn21 and Nrg3. Using biotinylated receptor tracking and immunoprecipitation analyses, we determined that PTPN21 de-phosphorylates the upstream receptor tyrosine kinase ErbB4 leading to the up regulation of its downstream signaling. Conversely, kinase-dead ErbB4 (K751R) or phosphatase-dead PTPN21 (C1108S) mutants impede PTPN21-dependent signaling. Furthermore, PTPN21 also induced Elk-1 activation in embryonic cortical neurons and a novel Elk-1 binding motif was identified in a region located 1919bp upstream of the NRG3 initiation codon. This enables PTPN21 to promote NRG3 expression through Elk-1, which provides a biochemical mechanism for the PTPN21-NRG3 association identified by eQTL. Biologically, PTPN21 positively influences cortical neuronal survival and, similar to Elk-1, it also enhances neuritic length. Our combined approaches show for the first time, a link between NRG3 and PTPN21 within a signalling cascade. This may explain why these two seemingly unrelated genes have previously been identified as risk genes for schizophrenia. Copyright © 2015. Published by Elsevier Ltd.
    The International Journal of Biochemistry & Cell Biology 02/2015; 61. DOI:10.1016/j.biocel.2015.02.003 · 4.05 Impact Factor
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    ABSTRACT: In aetiologically complex illnesses such as schizophrenia, there is no direct link between genotype and phenotype. Intermediate phenotypes could help clarify the underlying biology and assist in the hunt for genetic vulnerability variants. We have previously shown that cognition shares substantial genetic variance with schizophrenia; however, it is unknown if this reflects pleiotropic effects, direct causality or some shared third factor that links both, for example, brain volume (BV) changes. We quantified the degree of net genetic overlap and tested the direction of causation between schizophrenia liability, brain structure and cognition in a pan-European schizophrenia twin cohort consisting of 1243 members from 626 pairs. Cognitive deficits lie upstream of the liability for schizophrenia with about a quarter of the variance in liability to schizophrenia explained by variation in cognitive function. BV changes lay downstream of schizophrenia liability, with 4% of BV variation explained directly by variation in liability. However, our power to determine the nature of the relationship between BV deviation and schizophrenia liability was more limited. Thus, while there was strong evidence that cognitive impairment is causal to schizophrenia liability, we are not in a position to make a similar statement about the relationship between liability and BV. This is the first study to demonstrate that schizophrenia liability is expressed partially through cognitive deficits. One prediction of the finding that BV changes lie downstream of the disease liability is that the risk loci that influence schizophrenia liability will thereafter influence BV and to a lesser extent. By way of contrast, cognitive function lies upstream of schizophrenia, thus the relevant loci will actually have a larger effect size on cognitive function than on schizophrenia. These are testable predictions.Molecular Psychiatry advance online publication, 2 December 2014; doi:10.1038/mp.2014.152.
    Molecular Psychiatry 12/2014; DOI:10.1038/mp.2014.152 · 14.50 Impact Factor
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    ABSTRACT: Standard genome-wide association studies, testing the association between one phenotype and a large number of single nucleotide polymorphisms (SNPs), are limited in two ways: 1) traits are often multivariate, and analysis of composite scores entails loss in statistical power, and 2) gene-based analyses may be preferred, e.g. to decrease the multiple testing problem. Here we present a new method MGAS that allows gene-based testing of multivariate phenotypes in unrelated individuals. Through extensive simulation, we show that under most trait-generating genotype-phenotype models MGAS has superior statistical power to detect associated genes compared to gene-based analyses of univariate phenotypic composite scores (i.e., GATES, multiple regression), and multivariate MANOVA. Re-analysis of metabolic data (Sabatti et al., 2009) revealed 32 FDR controlled genome-wide significant genes, and 12 regions harboring multiple genes; of these 44 regions, 30 were not reported in the original analysis. MGAS allows researchers to conduct their multivariate gene-based analyses efficiently, and without the loss of power that is often associated with an incorrectly specified genotype-phenotype models. Availability: MGAS is freely available in KGG v3.0 ( Access to the metabolic data set can be requested at dbGaP ( The R-simulation code is available from CONTACT: SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. © The Author(s) 2014. Published by Oxford University Press.
    Bioinformatics 11/2014; 31(7). DOI:10.1093/bioinformatics/btu783 · 4.98 Impact Factor
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    ABSTRACT: Unlabelled: In the past 50 years there have been considerable efforts to identify the cellular receptor of hepatitis B virus (HBV). Recently, in vitro evidence from several groups has shown that the sodium-taurocholate cotransporting polypeptide (NTCP, which is encoded by SLC10A1 and transports bile acids into hepatic cells in enterohepatic recirculation) is a strong candidate. In particular, in vitro the p.Ser267Phe variation of SLC10A1 results in loss of HBV receptor function. We tested the role of NTCP as a receptor for HBV in chronic hepatitis B patients using a genetic association study. We selected SLC10A1 variants from 189 exomes. We used Sanger sequencing to follow up the association of the various SLC10A1 variants in a Han Chinese cohort of 1899 chronic hepatitis B patients and 1828 healthy controls. We further investigated the potential impact of the p.Ser267Phe variant on NTCP function using structural analysis. The p.Ser267Phe variant was associated with healthy status (P = 5.7 × 10(-23) , odds ratio = 0.36) irrespective of hepatitis B virus surface antibody status (P = 6.2 × 10(-21) and 1.5 × 10(-10) , respectively, when the cases were compared with hepatitis B virus surface antibody-positive and -negative controls). The variation was also associated with a lower incidence of acute-on-chronic liver failure (P = 0.007). The estimated heritability explained by this single variation was ∼3.2%. The population prevented fraction was around 13.0% among the southern Chinese. Our structural modeling showed that the p.Ser267Phe variant might interfere with ligand binding, thereby preventing HBV from cellular entry. Conclusion: The p.Ser267Phe NTCP variant is significantly associated with resistance to chronic hepatitis B and a lower incidence of acute-on-chronic liver failure. Our results support that NTCP is a cellular receptor for HBV in human infection.
    Hepatology 11/2014; 61(4). DOI:10.1002/hep.27608 · 11.06 Impact Factor
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    ABSTRACT: There is an urgent need for the identification of Alzheimer's disease (AD) biomarkers. Studies have now suggested the promising use of associations with blood metabolites as functional intermediate phenotypes in biomedical and pharmaceutical research. The aim of this study was to use lipidomics to identify a battery of plasma metabolite molecules that could predict AD patients from controls. We performed a comprehensive untargeted lipidomic analysis, using ultra-performance liquid chromatography/mass spectrometry on plasma samples from 35 AD patients, 40 elderly controls and 48 individuals with mild cognitive impairment (MCI) and used multivariate analysis methods to identify metabolites associated with AD status. A combination of 10 metabolites could discriminate AD patients from controls with 79.2% accuracy (81.8% sensitivity, 76.9% specificity and an area under curve of 0.792) in a novel test set. Six of the metabolites were identified as long chain cholesteryl esters (ChEs) and were reduced in AD (ChE 32:0, odds ratio (OR)=0.237, 95% confidence interval (CI)=0.10-0.48, P=4.19E-04; ChE 34:0, OR=0.152, 95% CI=0.05-0.37, P=2.90E-04; ChE 34:6, OR=0.126, 95% CI=0.03-0.35, P=5.40E-04; ChE 32:4, OR=0.056, 95% CI=0.01-0.24, P=6.56E-04 and ChE 33:6, OR=0.205, 95% CI=0.06-0.50, P=2.21E-03, per (log2) metabolite unit). The levels of these metabolites followed the trend control>MCI>AD. We, additionally, found no association between cholesterol, the precursor of ChE and AD. This study identified new ChE molecules, involved in cholesterol metabolism, implicated in AD, which may help identify new therapeutic targets; although, these findings need to be replicated in larger well-phenotyped cohorts.
    Translational Psychiatry 10/2014; DOI:10.1038/tp.2014.127 · 5.62 Impact Factor
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    ABSTRACT: Background: Although altered lipid metabolism has been extensively implicated in the pathogenesis of Alzheimer disease (AD) through cell biological, epidemiological, and genetic studies, the molecular mechanisms linking cholesterol and AD pathology are still not well understood and contradictory results have been reported. We have used a Mendelian randomization approach to dissect the causal nature of the association between circulating lipid levels and late onset AD (LOAD) and test the hypothesis that genetically raised lipid levels increase the risk of LOAD. Methods and findings: We included 3,914 patients with LOAD, 1,675 older individuals without LOAD, and 4,989 individuals from the general population from six genome wide studies drawn from a white population (total n=10,578). We constructed weighted genotype risk scores (GRSs) for four blood lipid phenotypes (high-density lipoprotein cholesterol [HDL-c], low-density lipoprotein cholesterol [LDL-c], triglycerides, and total cholesterol) using well-established SNPs in 157 loci for blood lipids reported by Willer and colleagues (2013). Both full GRSs using all SNPs associated with each trait at p<5×10-8 and trait specific scores using SNPs associated exclusively with each trait at p<5 × 10-8 were developed. We used logistic regression to investigate whether the GRSs were associated with LOAD in each study and results were combined together by meta-analysis. We found no association between any of the full GRSs and LOAD (meta-analysis results: odds ratio [OR]=1.005, 95% CI 0.82-1.24, p = 0.962 per 1 unit increase in HDL-c; OR=0.901, 95% CI 0.65-1.25, p=0.530 per 1 unit increase in LDL-c; OR=1.104, 95% CI 0.89-1.37, p=0.362 per 1 unit increase in triglycerides; and OR=0.954, 95% CI 0.76-1.21, p=0.688 per 1 unit increase in total cholesterol). Results for the trait specific scores were similar; however, the trait specific scores explained much smaller phenotypic variance. Conclusions: Genetic predisposition to increased blood cholesterol and triglyceride lipid levels is not associated with elevated LOAD risk. The observed epidemiological associations between abnormal lipid levels and LOAD risk could therefore be attributed to the result of biological pleiotropy or could be secondary to LOAD. Limitations of this study include the small proportion of lipid variance explained by the GRS, biases in case-control ascertainment, and the limitations implicit to Mendelian randomization studies. Future studies should focus on larger LOAD datasets with longitudinal sampled peripheral lipid measures and other markers of lipid metabolism, which have been shown to be altered in LOAD. Please see later in the article for the Editors' Summary.
    PLoS Medicine 09/2014; 11(9):e1001713. DOI:10.1371/journal.pmed.1001713 · 14.43 Impact Factor
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    ABSTRACT: Although epidemiological studies suggest that type 2 diabetes mellitus (T2DM) increases the risk of late-onset Alzheimer's disease (LOAD), the biological basis of this relationship is not well understood. The aim of this study was to examine the genetic comorbidity between the 2 disorders and to investigate whether genetic liability to T2DM, estimated by a genotype risk scores based on T2DM associated loci, is associated with increased risk of LOAD. This study was performed in 2 stages. In stage 1, we combined genotypes for the top 15 T2DM-associated polymorphisms drawn from approximately 3000 individuals (1349 cases and 1351 control subjects) with extracted and/or imputed data from 6 genome-wide studies (>10,000 individuals; 4507 cases, 2183 controls, 4989 population controls) to form a genotype risk score and examined if this was associated with increased LOAD risk in a combined meta-analysis. In stage 2, we investigated the association of LOAD with an expanded T2DM score made of 45 well-established variants drawn from the 6 genome-wide studies. Results were combined in a meta-analysis. Both stage 1 and stage 2 T2DM risk scores were not associated with LOAD risk (odds ratio = 0.988; 95% confidence interval, 0.972-1.004; p = 0.144 and odds ratio = 0.993; 95% confidence interval, 0.983-1.003; p = 0.149 per allele, respectively). Contrary to expectation, genotype risk scores based on established T2DM candidates were not associated with increased risk of LOAD. The observed epidemiological associations between T2DM and LOAD could therefore be a consequence of secondary disease processes, pleiotropic mechanisms, and/or common environmental risk factors. Future work should focus on well-characterized longitudinal cohorts with extensive phenotypic and genetic data relevant to both LOAD and T2DM.
    Neurobiology of Aging 07/2014; 35(12). DOI:10.1016/j.neurobiolaging.2014.07.023 · 5.01 Impact Factor
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    ABSTRACT: Background/aims: The Remission in Schizophrenia Working Group has defined remission as 'a low-mild symptom intensity level, maintained for a minimum of 6 months, where such symptoms do not affect an individual's behaviour' [Andreasen et al.: Am J Psychiatry 2005;162:441-449]. Since brain morphology relates to symptomatology, treatment and illness progression, MRI may assist in predicting remission. Methods: Thirty-nine patients newly diagnosed with DSM-IV schizophrenia underwent MRI brain scan prior to antipsychotic exposure. The Global Assessment of Functioning (GAF) score was entered into a voxel-based analysis to evaluate its relationship with cerebral grey matter volume from the baseline MRI. We entered age, total intracranial volume and intake GAF score as co-variates. Males and females were analysed separately because gender is a potent determinant of outcome. Results: Males had lower GAF scores than females, both at intake and at 1 year. Males comprised only 40% (12 out of 39) of the early remission group. For females only, early remission was strongly and positively correlated with bilateral lentiform and striatal volumes. For males, there was no such relationship. Conclusion: Larger striato-thalamic volume correlated with early remission in females only. These baseline MRI findings were unlikely to be confounded by antipsychotic treatment and chronicity. These brain morphological markers show gender dimorphism and may assist in the prediction of early remission in newly diagnosed schizophrenia.
    Neuropsychobiology 06/2014; 69(4):243-248. DOI:10.1159/000358837 · 2.26 Impact Factor
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    ABSTRACT: Background: Human epidemiological studies have linked labor and delivery complications leading to hypoxia/ischemia at birth with increased risk of neurodevelopmental disorders such as schizophrenia and autism. This can be modeled experimentally by exposing rat pups to 15 min of intrauterine anoxia during Caesarean section birth causing behavioral anomalies relevant to neurodevelopmental disorders such as autism. This model also affords us the opportunity to directly examine brain cellular mechanisms modified by this perinatal assault. Objectives: To carry out a direct experimental test of the impact of perinatal asphyxia on protein expression in the postnatal prefrontal cortex. Methods: We used two dimensional differential in-gel electrophoresis and mass spectrometry, with targeted western blot analyses for confirmation, to quantify the proteomic profile of the prefrontal cortex - a region strongly implicated in autism - in 6 (adolescent) and 12 (adult) week old rats previously exposed to perinatal asphyxia. Control groups included pups delivered by C-section without anoxia and pups delivered vaginally. Group differences in global protein expression were examined using a partial least squares discriminative analysis ( SIMCA 9.0 software, Umetrics, Sweden; PLS-DA) and the expression differences of individual proteins examined using Analysis of Variance run on Progenesis software (initial screen across all groups, significance threshold set at p <0.1; post-hoc analysis of group contrasts, significance threshold set at p <0.05). Finally western blot was used to confirm gel-differences in selected proteins. Results: Multivariate analyses of protein spots present in at least 75% of 60 images indicated a clear separation on the basis of protein expression between 6 and 12 week old animals and between the 3 experimental groups. Proteomic profiling revealed a significant up-regulation of mitochondrial enzymes such as isocitrate dehydrogenase, cytosolic malate dehydrogenase, and NADH dehydrogenase and significant down-regulation of signaling proteins such as 14-3-3 and structural proteins such as neurofilament light polypeptide (NEFL) in the perinatally asphyxiated group. Western blot confirmed the expression of isocitrate dehydrogenase was significantly up-regulated whereas, 14-3-3 zeta and NEFL were significantly down-regulated, in the asphyxia group across all age groups (p<0.05). Conclusions: The differences elicited by perinatal asphyxia are consistent with emerging evidence for mitochondrial dysregulation in neurodevelopmental disorders, and may in time contribute novel biomarkers and fresh targets for prevention or treatment.
    2014 International Meeting for Autism Research; 05/2014
  • Global Spine Journal 05/2014; 04(S 01). DOI:10.1055/s-0034-1376557
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    ABSTRACT: Adolescent idiopathic scoliosis (AIS) is a common rotational deformity of the spine that presents in children worldwide, yet its etiology is poorly understood. Recent genome-wide association studies (GWAS) have identified a few candidate risk loci. One locus near the chromosome 10q24.31 LBX1 gene (OMIM #604255) was originally identified by a GWAS of Japanese subjects and replicated in additional Asian populations. To extend this result, and to create larger AIS cohorts for the purpose of large-scale meta-analyses in multiple ethnicities, we formed a collaborative group called the International Consortium for Scoliosis Genetics (ICSG). Here, we report the first ICSG study, a meta-analysis of the LBX1 locus in six Asian and three non-Asian cohorts. We find significant evidence for association of this locus with AIS susceptibility in all nine cohorts. Results for seven cohorts containing both genders yielded P=1.22×10-43 for rs11190870, and P=2.94×10-48 for females in all nine cohorts. Comparing the regional haplotype structures for three populations, we refined the boundaries of association to a ∼25 kb block encompassing the LBX1 gene. The LBX1 protein, a homeobox transcription factor that is orthologous to the Drosophila ladybird late gene, is involved in proper migration of muscle precursor cells, specification of cardiac neural crest cells, and neuronal determination in developing neural tubes. Our results firmly establish the LBX1 region as the first major susceptibility locus for AIS in Asian and non-Hispanic white groups, and provide a platform for larger studies in additional ancestral groups.
    Journal of Medical Genetics 04/2014; 51(6). DOI:10.1136/jmedgenet-2013-102067 · 6.34 Impact Factor
  • Z Chen · W Deng · Q Gong · C Huang · L Jiang · M Li · Z He · Q Wang · X Ma · Y Wang · S E Chua · G M McAlonan · P C Sham · D A Collier · P McGuire · T Li
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    ABSTRACT: Alterations in gray matter (GM) are commonly observed in schizophrenia. Accumulating studies suggest that the brain changes associated with schizophrenia are distributed rather than focal, involving interconnected networks of areas as opposed to single regions. In the current study we aimed to explore GM volume (GMV) changes in a relatively large sample of treatment-naive first-episode schizophrenia (FES) patients using optimized voxel-based morphometry (VBM) and covariation analysis. High-resolution T1-weighted images were obtained using 3.0-T magnetic resonance imaging (MRI) from 86 first-episode drug-naive patients with schizophrenia and 86 age- and gender-matched healthy volunteers. Symptom severity was evaluated using the Positive and Negative Syndrome Scale (PANSS). GMV was assessed using optimized VBM and in 16 regions of interest (ROIs), selected on the basis of a previous meta-analysis. The relationships between GMVs in the ROIs were examined using an analysis of covariance (ANCOVA). The VBM analysis revealed that first-episode patients showed reduced GMV in the hippocampus bilaterally. The ROI analysis identified reductions in GMV in the left inferior frontal gyrus, bilateral hippocampus and right thalamus. The ANCOVA revealed different patterns of regional GMV correlations in patients and controls, including of inter- and intra-insula, inter-amygdala and insula-postcentral gyrus connections. Schizophrenia involves regional reductions in GMV and changes in GMV covariance in the insula, amygdala and postcentral gyrus. These findings were evident at the onset of the disorder, before treatment, and therefore cannot be attributable to the effects of chronic illness progression or medication.
    Psychological Medicine 01/2014; 44(12):1-13. DOI:10.1017/S003329171300319X · 5.94 Impact Factor
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    ABSTRACT: There is mixed evidence concerning cognitive function and heroin dependence. In this study, abstinent heroin-dependent individuals (n = 86) and age- and sex-matched non-drug-using controls (n = 88) were compared on self-report measures of impulsivity and computerized assessments of cognitive function. Abstinent heroin-dependent individuals reported greater motor impulsivity and experience seeking and showed functional weaknesses in cognitive ability, including impulsivity and distractibility (d = 0.28 to 0.49), but not decision making or working memory. Self-reported impulsivity was uncorrelated with cognitive function. These results suggest underlying brain-related factors in heroin dependence and have implications for therapeutic intervention.
    Journal of Clinical and Experimental Neuropsychology 09/2013; 35(9). DOI:10.1080/13803395.2013.828022 · 2.08 Impact Factor
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    ABSTRACT: Heroin abuse and natural aging exert common influences on immunological cell functioning. This observation led to a recent and untested idea that aging may be accelerated in abusers of heroin. We examined this claim by testing whether heroin use is associated with premature aging at both cellular and brain system levels. A group of abstinent heroin users (n=33) and matched healthy controls (n=30) were recruited and measured on various biological indicators of aging. These measures included peripheral blood telomerase activity, which reflects cellular aging, and both structural and functional measures of brain magnetic resonance imaging. We found that heroin users were characterized by significantly low telomerase activity (0.21 vs 1.78; 88% reduction; t(61)=6.96, P<0.001; 95% confidence interval=1.12-2.02), which interacted with heroin use to affect the structural integrity of gray and white matter of the prefrontal cortex (PFC; AlphaSim corrected P<0.05), a key brain region implicated in aging. Using the PFC location identified from the structural analyses as a 'seed' region, it was further revealed that telomerase activity interacted with heroin use to impact age-sensitive brain functional networks (AlphaSim corrected P<0.05), which correlated with behavioral performance on executive functioning, memory and attentional control (Pearson correlation, all P<0.05). To our knowledge, this study is the first to attempt a direct integration of peripheral molecular, brain system and behavioral measures in the context of substance abuse. The present finding that heroin abuse is associated with accelerated aging at both cellular and brain system levels is novel and forms a unique contribution to our knowledge in how the biological processes of drug abusers may be disrupted.
    Translational Psychiatry 05/2013; 3(5):e260. DOI:10.1038/tp.2013.36 · 5.62 Impact Factor
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    Q Wang · C Cheung · W Deng · M Li · C Huang · X Ma · Y Wang · L Jiang · P C Sham · D A Collier · Q Gong · S E Chua · G M McAlonan · T Li
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    ABSTRACT: Background: It is not clear whether the progressive changes in brain microstructural deficits documented in previous longitudinal magnetic resonance imaging (MRI) studies might be due to the disease process or to other factors such as medication. It is important to explore the longitudinal alterations in white-matter (WM) microstructure in antipsychotic-naive patients with first-episode schizophrenia during the very early phase of treatment when relatively 'free' from chronicity. Method: Thirty-five patients with first-episode schizophrenia and 22 healthy volunteers were recruited. High-resolution diffusion tensor imaging (DTI) was obtained from participants at baseline and after 6 weeks of treatment. A 'difference map' for each individual was calculated from the 6-week follow-up fractional anisotropy (FA) of DTI minus the baseline FA. Differences in Positive and Negative Syndrome Scale (PANSS) scores and Global Assessment of Functioning (GAF) scores between baseline and 6 weeks were also evaluated and expressed as a 6-week/baseline ratio. Results: Compared to healthy controls, there was a significant decrease in absolute FA of WM around the bilateral anterior cingulate gyrus and the right anterior corona radiata of the frontal lobe in first-episode drug-naive patients with schizophrenia following 6 weeks of treatment. Clinical symptoms improved during this period but the change in FA did not correlate with the changes in clinical symptoms or the dose of antipsychotic medication. Conclusions: During the early phase of treatment, there is an acute reduction in WM FA that may be due to the effects of antipsychotic medications. However, it is not possible to entirely exclude the effects of underlying progression of illness.
    Psychological Medicine 02/2013; DOI:10.1017/S0033291713000238 · 5.94 Impact Factor
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    Q Wang · C Cheung · W Deng · M Li · C Huang · X Ma · Y Wang · L Jiang · G McAlonan · P Sham · D A Collier · Q Gong · S E Chua · T Li
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    ABSTRACT: Background: Evidence shows that cognitive deficits and white matter (WM) dysconnectivity can independently be associated with clinical manifestations in schizophrenia. It is important to explore this triadic relationship in order to investigate whether the triplet could serve as potential extended endophenotypes of schizophrenia. Method: Diffusion tensor images and clinical performances were evaluated in 122 individuals with first-episode schizophrenia and 122 age- and gender-matched controls. In addition, 65 of 122 of the patient group and 40 of 122 controls were measured using intelligence quotient (IQ) testing. Results: The schizophrenia group showed lower fractional anisotropy (FA) values than controls in the right cerebral frontal lobar sub-gyral (RFSG) WM. The schizophrenia group also showed a significant positive correlation between FA in the RFSG and performance IQ (PIQ) ; in turn, their PIQ score showed a significant negative correlation with negative syndromes. Conclusions: Overall, these findings support the hypothesis that WM deficits may be a core deficit that contributes to cognitive deficits as well as to negative symptoms.
    Psychological Medicine 12/2012; 43(10):1-10. DOI:10.1017/S0033291712002905 · 5.94 Impact Factor
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    ABSTRACT: Genetic factors underlying trait neuroticism, reflecting a tendency towards negative affective states, may overlap genetic susceptibility for anxiety disorders and help explain the extensive comorbidity amongst internalizing disorders. Genome-wide linkage (GWL) data from several studies of neuroticism and anxiety disorders have been published, providing an opportunity to test such hypotheses and identify genomic regions that harbor genes common to these phenotypes. In all, 11 independent GWL studies of either neuroticism (n=8) or anxiety disorders (n=3) were collected, which comprised of 5341 families with 15 529 individuals. The rank-based genome scan meta-analysis (GSMA) approach was used to analyze each trait separately and combined, and global correlations between results were examined. False discovery rate (FDR) analysis was performed to test for enrichment of significant effects. Using 10 cM intervals, bins nominally significant for both GSMA statistics, P(SR) and P(OR), were found on chromosomes 9, 11, 12, and 14 for neuroticism and on chromosomes 1, 5, 15, and 16 for anxiety disorders. Genome-wide, the results for the two phenotypes were significantly correlated, and a combined analysis identified additional nominally significant bins. Although none reached genome-wide significance, an excess of significant P(SR)P-values were observed, with 12 bins falling under a FDR threshold of 0.50. As demonstrated by our identification of multiple, consistent signals across the genome, meta-analytically combining existing GWL data is a valuable approach to narrowing down regions relevant for anxiety-related phenotypes. This may prove useful for prioritizing emerging genome-wide association data for anxiety disorders.
    European journal of human genetics: EJHG 04/2012; 20(10):1078-84. DOI:10.1038/ejhg.2012.47 · 4.35 Impact Factor
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    ABSTRACT: A study was conducted to validate the most significant single nucleotide polymorphism (SNP) from a genome-wide association study of Japanese adolescent idiopathic scoliosis (AIS) patients in an independent southern Chinese population. In total, 300 AIS patients fulfilled the clinical criteria and 788 controls with MRI scans of the spine were included in the replication study. We employed case-control analysis to study the association of SNP rs11190870 near LBX1 (ladybird homeobox 1) with AIS in a southern Chinese population. The results suggest that SNP rs11190870 is significantly associated with AIS (P=9.1 × 10(-10); odds ratio=1.85; 95% confidence interval=1.52-2.25). The results of this study confirm that SNP rs11190870 is associated with AIS.
    Journal of Human Genetics 02/2012; 57(4):244-6. DOI:10.1038/jhg.2012.11 · 2.46 Impact Factor
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    ABSTRACT: Systemic lupus erythematosus (SLE) is a prototypic autoimmune disease with complex genetic inheritance. CD247 (CD3Z, TCRZ) plays a vital role in antigen recognition and signal transduction in antigen-specific immune responses, and is known to be involved in SLE pathogenesis. Weak disease association was reported for genetic variants in this gene in Caucasian studies for SLE, Crohn's disease and systemic sclerosis, but its role as a genetic risk factor was never firmly established. In this study, using a collection of 612 SLE patients and 2193 controls of Chinese ethnicity living in Hong Kong in a genome-wide study, single nucleotide polymorphisms (SNPs) in and around CD247 were identified as being associated with SLE. The two most significant SNPs in this locus were selected for further replication using TaqMan genotyping assay in 3339 Asian patients from Hong Kong, Mainland China, and Thailand, as well as 4737 ethnically and geographically matched controls. The association of CD247 with SLE in Asian populations was confirmed (rs704853: odds ratio [OR] = 0. 81, p = 2.47 × 10(-7); rs858543: OR = 1.10, p = 0.0048). Patient-only analysis suggested that rs704853 is also linked to oral ulcers, hematologic disorders and anti-double-stranded DNA (dsDNA) antibody production. A significant association between variants in CD247 and SLE was demonstrated in Asian populations. Understanding the involvement of CD247 in SLE may shed new light on disease mechanisms and development of new treatment paradigms.
    Lupus 01/2012; 21(1):75-83. DOI:10.1177/0961203311422724 · 2.20 Impact Factor
  • P.C. Sham · S.S. Cherny
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    ABSTRACT: The rapid development of molecular genetic technologies allows highly detailed examination of genome sequence variation and leads to rapid progress in the understanding of the genetic architecture of complex diseases. This chapter reviews the research approaches that have been used to address the relevant questions and summarizes the current state of knowledge and understanding regarding the genetic architecture of complex diseases that have come out of various studies. Common diseases are highly heterogeneous, with a small proportion of cases having relatively simple etiology dominated by a single genetic mutation, while the vast majority of cases are caused by the combined effect of multiple genetic and environmental factors each contributing a minor influence. The genetics approach to the study of complex diseases is complementary to other research paradigms such as the use of cell culture or animal models. The advantages of the genetics approach are that the finite size and regularity of the genome allows a systematic search for sequence-phenotype relationships, which may unveil novel associations that implicate previously unsuspected biological pathways, and the demonstration of sequence-phenotype relationships offers strong direct evidence for the role of a gene or a pathway in human disease, minimizing the need to perform potentially hazardous experiments on humans.
    Analysis of Complex Disease Association Studies, 12/2011: pages 1-13; , ISBN: 9780123751423

Publication Stats

20k Citations
2,225.69 Total Impact Points


  • 2005–2015
    • The University of Hong Kong
      • • Department of Psychiatry
      • • Department of Medicine
      Hong Kong, Hong Kong
    • Shanghai Jiao Tong University
      • Bio-X Institute
      Shanghai, Shanghai Shi, China
  • 2004–2009
    • Queen Mary Hospital
      Hong Kong, Hong Kong
    • McGill University
      • Department of Psychiatry
      Montréal, Quebec, Canada
  • 1992–2008
    • King's College London
      • • MRC Social, Genetic and Developmental Psychiatry Centre
      • • Department of Psychological Medicine
      • • Institute of Psychiatry
      Londinium, England, United Kingdom
  • 1999–2006
    • University of London
      Londinium, England, United Kingdom
  • 1999–2004
    • London Research Institute
      Londinium, England, United Kingdom
  • 2003
    • Chang Gung Memorial Hospital
      • Department of Psychiatry
      T’ai-pei, Taipei, Taiwan
  • 2002
    • University of Cambridge
      • Department of Psychiatry
      Cambridge, England, United Kingdom
  • 2001
    • UK Energy Research Centre
      Londinium, England, United Kingdom
  • 2000
    • Sichuan University
      Hua-yang, Sichuan, China
    • Instituto Nacional de Psiquiatría
      Ciudad de México, Mexico City, Mexico
  • 1991–1999
    • ICL
      Londinium, England, United Kingdom
    • University of Nottingham
      • Division of Psychiatry and Applied Psychology
      Nottigham, England, United Kingdom
  • 1998
    • The Kings College
      Denmark, South Carolina, United States
  • 1995–1998
    • New South Wales Institute of Psychiatry
      Sydney, New South Wales, Australia
    • University of Essex
      Colchester, England, United Kingdom
    • St. James's Hospital
      Dublin, Leinster, Ireland
    • Teikyo University Hospital
      Edo, Tōkyō, Japan
    • Virginia Commonwealth University
      • Department of Psychiatry
      Richmond, VA, United States
  • 1997
    • Teikyo University
      Edo, Tōkyō, Japan
    • Medical Research Council (UK)
      Londinium, England, United Kingdom
  • 1996–1997
    • Maastricht University
      • Department of Psychiatry & Neuropsychology
      Maestricht, Limburg, Netherlands
    • Institute of Genetics and Molecular Medicine
      Edinburgh, Scotland, United Kingdom
    • Clinique médicale et pédagogique Dupré
      Île-de-France, France
  • 1994
    • The King's College
      Charlotte, North Carolina, United States