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Dive into the research topics where Jessica Lasky-Su is active.

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Featured researches published by Jessica Lasky-Su.


American Journal of Medical Genetics | 2008

Genome-Wide Association Scan of Quantitative Traits for Attention Deficit Hyperactivity Disorder Identifies Novel Associations and Confirms Candidate Gene Associations

Jessica Lasky-Su; Benjamin M. Neale; Barbara Franke; Richard Anney; Kaixin Zhou; Julian Maller; Alejandro Arias Vasquez; Wai Chen; Philip Asherson; Jan K. Buitelaar; Tobias Banaschewski; Richard P. Ebstein; Michael Gill; Ana Miranda; Fernando Mulas; Robert D. Oades; Herbert Roeyers; Aribert Rothenberger; Joseph A. Sergeant; Edmund Sonuga-Barke; Hans-Christoph Steinhausen; Eric Taylor; Mark J. Daly; Nan M. Laird; Christoph Lange; Stephen V. Faraone

Attention deficit hyperactivity disorder (ADHD) is a complex condition with environmental and genetic etiologies. Up to this point, research has identified genetic associations with candidate genes from known biological pathways. In order to identify novel ADHD susceptibility genes, 600,000 SNPs were genotyped in 958 ADHD proband‐parent trios. After applying data cleaning procedures we examined 429,981 autosomal SNPs in 909 family trios. We generated six quantitative phenotypes from 18 ADHD symptoms to be used in genome‐wide association analyses. With the PBAT screening algorithm, we identified 2 SNPs, rs6565113 and rs552655 that met the criteria for significance within a specified phenotype. These SNPs are located in intronic regions of genes CDH13 and GFOD1, respectively. CDH13 has been implicated previously in substance use disorders. We also evaluated the association of SNPs from a list of 37 ADHD candidate genes that was specified a priori. These findings, along with association P‐values with a magnitude less than 10−5, are discussed in this manuscript. Seventeen of these candidate genes had association P‐values lower then 0.01: SLC6A1, SLC9A9, HES1, ADRB2, HTR1E, DDC, ADRA1A, DBH, DRD2, BDNF, TPH2, HTR2A, SLC6A2, PER1, CHRNA4, SNAP25, and COMT. Among the candidate genes, SLC9A9 had the strongest overall associations with 58 association test P‐values lower than 0.01 and multiple association P‐values at a magnitude of 10−5 in this gene. In sum, these findings identify novel genetic associations at viable ADHD candidate genes and provide confirmatory evidence for associations at previous candidate genes. Replication of these results is necessary in order to confirm the proposed genetic variants for ADHD.


American Journal of Human Genetics | 2009

Genome-wide Association Analysis Identifies PDE4D as an Asthma-Susceptibility Gene

Blanca E. Himes; Gary M. Hunninghake; James W. Baurley; Nicholas Rafaels; Patrick Sleiman; David P. Strachan; Jemma B. Wilk; Saffron A. G. Willis-Owen; Barbara J. Klanderman; Jessica Lasky-Su; Ross Lazarus; Amy Murphy; Manuel Soto-Quiros; Lydiana Avila; Terri H. Beaty; Rasika A. Mathias; Ingo Ruczinski; Kathleen C. Barnes; Juan C. Celedón; William Cookson; W. James Gauderman; Frank D. Gilliland; Hakon Hakonarson; Christoph Lange; Miriam F. Moffatt; George T. O'Connor; Benjamin A. Raby; Edwin K. Silverman; Scott T. Weiss

Asthma, a chronic airway disease with known heritability, affects more than 300 million people around the world. A genome-wide association (GWA) study of asthma with 359 cases from the Childhood Asthma Management Program (CAMP) and 846 genetically matched controls from the Illumina ICONdb public resource was performed. The strongest region of association seen was on chromosome 5q12 in PDE4D. The phosphodiesterase 4D, cAMP-specific (phosphodiesterase E3 dunce homolog, Drosophila) gene (PDE4D) is a regulator of airway smooth-muscle contractility, and PDE4 inhibitors have been developed as medications for asthma. Allelic p values for top SNPs in this region were 4.3 x 10(-07) for rs1588265 and 9.7 x 10(-07) for rs1544791. Replications were investigated in ten independent populations with different ethnicities, study designs, and definitions of asthma. In seven white and Hispanic replication populations, two PDE4D SNPs had significant results with p values less than 0.05, and five had results in the same direction as the original population but had p values greater than 0.05. Combined p values for 18,891 white and Hispanic individuals (4,342 cases) in our replication populations were 4.1 x 10(-04) for rs1588265 and 9.2 x 10(-04) for rs1544791. In three black replication populations, which had different linkage disequilibrium patterns than the other populations, original findings were not replicated. Further study of PDE4D variants might lead to improved understanding of the role of PDE4D in asthma pathophysiology and the efficacy of PDE4 inhibitor medications.


American Journal of Medical Genetics | 2005

Meta-analysis of the association between two polymorphisms in the serotonin transporter gene and affective disorders

Jessica Lasky-Su; Stephen V. Faraone; Stephen J. Glatt; Ming T. Tsuang

Family, twin, and adoption studies show that psychiatric diseases including bipolar disorder (BP) and unipolar disorder (UP) have a substantial genetic component. For these illnesses, both positive and negative associations have been reported for two polymorphisms located in the serotonin transporter gene (5‐HTT) on chromosome 17: a 17‐base‐pair (bp) variable‐number tandem‐repeat (VNTR) in intron 2 and a 44‐bp insertion/deletion in the promoter region. Thus, associations between these 5‐HTT polymorphisms and affective disorders remain unclear. The present work investigates these potential associations in meta‐analyzes that maximize the power to find associations between each disease and the two 5‐HTT polymorphisms. We applied meta‐analysis techniques to case‐control studies of two 5‐HTT polymorphisms and two affective disorders (BP and UP), resulting in four meta‐analyzes. For each polymorphism, we assessed the evidence for allelic associations, heterogeneity among studies, the influence of individual studies, and the potential for publication bias. The short allele(s) of the 44‐bp insertion/deletion polymorphism showed a significant association for BP (odds ratio (OR) = 1.13, P = 0.001) but not UP. For the 17‐bp VNTR, an increase in the number of tandem repeats had no significant association with any of the disorders. The small but significant effects of the 44‐bp insertion/deletion polymorphism for BP is consistent with being one of many genes that contributes to the multi‐factorial nature of these psychiatric disorders.


The New England Journal of Medicine | 2009

MMP12, lung function, and COPD in high-risk populations.

Gary M. Hunninghake; Michael H. Cho; Yohannes Tesfaigzi; Manuel Soto-Quiros; Lydiana Avila; Jessica Lasky-Su; Chris Stidley; Erik Melén; Cilla Söderhäll; Jenny Hallberg; Inger Kull; Juha Kere; Magnus Svartengren; Göran Pershagen; Magnus Wickman; Christoph Lange; Dawn L. DeMeo; Craig P. Hersh; Barbara J. Klanderman; Benjamin A. Raby; David Sparrow; Steven D. Shapiro; Edwin K. Silverman; Augusto A. Litonjua; Scott T. Weiss; Juan C. Celedón

BACKGROUND Genetic variants influencing lung function in children and adults may ultimately lead to the development of chronic obstructive pulmonary disease (COPD), particularly in high-risk groups. METHODS We tested for an association between single-nucleotide polymorphisms (SNPs) in the gene encoding matrix metalloproteinase 12 (MMP12) and a measure of lung function (prebronchodilator forced expiratory volume in 1 second [FEV(1)]) in more than 8300 subjects in seven cohorts that included children and adults. Within the Normative Aging Study (NAS), a cohort of initially healthy adult men, we tested for an association between SNPs that were associated with FEV(1) and the time to the onset of COPD. We then examined the relationship between MMP12 SNPs and COPD in two cohorts of adults with COPD or at risk for COPD. RESULTS The minor allele (G) of a functional variant in the promoter region of MMP12 (rs2276109 [-82A-->G]) was positively associated with FEV(1) in a combined analysis of children with asthma and adult former and current smokers in all cohorts (P=2x10(-6)). This allele was also associated with a reduced risk of the onset of COPD in the NAS cohort (hazard ratio, 0.65; 95% confidence interval [CI], 0.46 to 0.92; P=0.02) and with a reduced risk of COPD in a cohort of smokers (odds ratio, 0.63; 95% CI, 0.45 to 0.88; P=0.005) and among participants in a family-based study of early-onset COPD (P=0.006). CONCLUSIONS The minor allele of a SNP in MMP12 (rs2276109) is associated with a positive effect on lung function in children with asthma and in adults who smoke. This allele is also associated with a reduced risk of COPD in adult smokers.


The New England Journal of Medicine | 2011

Genomewide Association between GLCCI1 and Response to Glucocorticoid Therapy in Asthma

Kelan G. Tantisira; Jessica Lasky-Su; Michishige Harada; Amy Murphy; Augusto A. Litonjua; Blanca E. Himes; Christoph Lange; Ross Lazarus; Jody S. Sylvia; Barbara J. Klanderman; Qing Ling Duan; Weiliang Qiu; Tomomitsu Hirota; Fernando D. Martinez; David T. Mauger; Christine A. Sorkness; Stanley J. Szefler; Stephen C. Lazarus; Robert F. Lemanske; Stephen P. Peters; John J. Lima; Yusuke Nakamura; Mayumi Tamari; Scott T. Weiss

BACKGROUND The response to treatment for asthma is characterized by wide interindividual variability, with a significant number of patients who have no response. We hypothesized that a genomewide association study would reveal novel pharmacogenetic determinants of the response to inhaled glucocorticoids. METHODS We analyzed a small number of statistically powerful variants selected on the basis of a family-based screening algorithm from among 534,290 single-nucleotide polymorphisms (SNPs) to determine changes in lung function in response to inhaled glucocorticoids. A significant, replicated association was found, and we characterized its functional effects. RESULTS We identified a significant pharmacogenetic association at SNP rs37972, replicated in four independent populations totaling 935 persons (P=0.0007), which maps to the glucocorticoid-induced transcript 1 gene (GLCCI1) and is in complete linkage disequilibrium (i.e., perfectly correlated) with rs37973. Both rs37972 and rs37973 are associated with decrements in GLCCI1 expression. In isolated cell systems, the rs37973 variant is associated with significantly decreased luciferase reporter activity. Pooled data from treatment trials indicate reduced lung function in response to inhaled glucocorticoids in subjects with the variant allele (P=0.0007 for pooled data). Overall, the mean (±SE) increase in forced expiratory volume in 1 second in the treated subjects who were homozygous for the mutant rs37973 allele was only about one third of that seen in similarly treated subjects who were homozygous for the wild-type allele (3.2±1.6% vs. 9.4±1.1%), and their risk of a poor response was significantly higher (odds ratio, 2.36; 95% confidence interval, 1.27 to 4.41), with genotype accounting for about 6.6% of overall inhaled glucocorticoid response variability. CONCLUSIONS A functional GLCCI1 variant is associated with substantial decrements in the response to inhaled glucocorticoids in patients with asthma.


American Journal of Medical Genetics | 2008

Genome-wide association scan of attention deficit hyperactivity disorder

Benjamin M. Neale; Jessica Lasky-Su; Richard Anney; Barbara Franke; Kaixin Zhou; Julian Maller; Alejandro Arias Vasquez; Philip Asherson; Wai Chen; Tobias Banaschewski; Jan K. Buitelaar; Richard P. Ebstein; Michael Gill; Ana Miranda; Robert D. Oades; Herbert Roeyers; Aribert Rothenberger; Joseph A. Sergeant; Hans-Christoph Steinhausen; Edmund Sonuga-Barke; Fernando Mulas; Eric Taylor; Nan M. Laird; Christoph Lange; Mark J. Daly; Stephen V. Faraone

Results of behavioral genetic and molecular genetic studies have converged to suggest that genes substantially contribute to the development of attention deficit/hyperactivity disorder (ADHD), a common disorder with an onset in childhood. Yet, despite numerous linkage and candidate gene studies, strongly consistent and replicable association has eluded detection. To search for ADHD susceptibility genes, we genotyped approximately 600,000 SNPs in 958 ADHD affected family trios. After cleaning the data, we analyzed 438,784 SNPs in 2,803 individuals comprising 909 complete trios using ADHD diagnosis as phenotype. We present the initial TDT findings as well as considerations for cleaning family‐based TDT data. None of the SNP association tests achieved genome‐wide significance, indicating that larger samples may be required to identify risk loci for ADHD. We additionally identify a systemic bias in family‐based association, and suggest that variable missing genotype rates may be the source of this bias.


PLOS Genetics | 2005

The Association of a SNP Upstream of INSIG2 with Body Mass Index is Reproduced in Several but Not All Cohorts

Helen N. Lyon; Valur Emilsson; Anke Hinney; Iris M. Heid; Jessica Lasky-Su; Xiaofeng Zhu; Gudmar Thorleifsson; Steinunn Gunnarsdottir; G. Bragi Walters; Unnur Thorsteinsdottir; Augustine Kong; Jeffrey R. Gulcher; Thuy Trang Nguyen; André Scherag; Arne Pfeufer; Thomas Meitinger; Günter Brönner; Winfried Rief; Manuel Soto-Quiros; Lydiana Avila; Barbara J. Klanderman; Benjamin A. Raby; Edwin K. Silverman; Scott T. Weiss; Nan M. Laird; Xiao Ding; Leif Groop; Tiinamaija Tuomi; Bo Isomaa; Kristina Bengtsson

A SNP upstream of the INSIG2 gene, rs7566605, was recently found to be associated with obesity as measured by body mass index (BMI) by Herbert and colleagues. The association between increased BMI and homozygosity for the minor allele was first observed in data from a genome-wide association scan of 86,604 SNPs in 923 related individuals from the Framingham Heart Study offspring cohort. The association was reproduced in four additional cohorts, but was not seen in a fifth cohort. To further assess the general reproducibility of this association, we genotyped rs7566605 in nine large cohorts from eight populations across multiple ethnicities (total n = 16,969). We tested this variant for association with BMI in each sample under a recessive model using family-based, population-based, and case-control designs. We observed a significant (p < 0.05) association in five cohorts but saw no association in three other cohorts. There was variability in the strength of association evidence across examination cycles in longitudinal data from unrelated individuals in the Framingham Heart Study Offspring cohort. A combined analysis revealed significant independent validation of this association in both unrelated (p = 0.046) and family-based (p = 0.004) samples. The estimated risk conferred by this allele is small, and could easily be masked by small sample size, population stratification, or other confounders. These validation studies suggest that the original association is less likely to be spurious, but the failure to observe an association in every data set suggests that the effect of SNP rs7566605 on BMI may be heterogeneous across population samples.


Behavioral and Brain Functions | 2008

The influence of serotonin- and other genes on impulsive behavioral aggression and cognitive impulsivity in children with attention-deficit/hyperactivity disorder (ADHD): Findings from a family-based association test (FBAT) analysis

Robert D. Oades; Jessica Lasky-Su; Hanna Christiansen; Stephen V. Faraone; Edmund Sonuga-Barke; Tobias Banaschewski; Wai Chen; Richard Anney; Jan K. Buitelaar; Richard P. Ebstein; Barbara Franke; Michael Gill; Ana Miranda; Herbert Roeyers; Aribert Rothenberger; Joseph A. Sergeant; Hans-Christoph Steinhausen; Eric Taylor; Margaret Thompson; Philip Asherson

BackgroundLow serotonergic (5-HT) activity correlates with increased impulsive-aggressive behavior, while the opposite association may apply to cognitive impulsiveness. Both types of impulsivity are associated with attention-deficit/hyperactivity disorder (ADHD), and genes of functional significance for the 5-HT system are implicated in this disorder. Here we demonstrate the separation of aggressive and cognitive components of impulsivity from symptom ratings and test their association with 5-HT and functionally related genes using a family-based association test (FBAT-PC).MethodsOur sample consisted of 1180 offspring from 607 families from the International Multicenter ADHD Genetics (IMAGE) study. Impulsive symptoms were assessed using the long forms of the Conners and the Strengths and Difficulties parent and teacher questionnaires. Factor analysis showed that the symptoms aggregated into parent- and teacher-rated behavioral and cognitive impulsivity. We then selected 582 single nucleotide polymorphisms (SNPs) from 14 genes directly or indirectly related to 5-HT function. Associations between these SNPs and the behavioral/cognitive groupings of impulsive symptoms were evaluated using the FBAT-PC approach.ResultsIn the FBAT-PC analysis for cognitive impulsivity 2 SNPs from the gene encoding phenylethanolamine N-methyltransferase (PNMT, the rate-limiting enzyme for adrenalin synthesis) attained corrected gene-wide significance. Nominal significance was shown for 12 SNPs from BDNF, DRD1, HTR1E, HTR2A, HTR3B, DAT1/SLC6A3, and TPH2 genes replicating reported associations with ADHD. For overt aggressive impulsivity nominal significance was shown for 6 SNPs from BDNF, DRD4, HTR1E, PNMT, and TPH2 genes that have also been reported to be associated with ADHD. Associations for cognitive impulsivity with a SERT/SLC6A4 variant (STin2: 12 repeats) and aggressive behavioral impulsivity with a DRD4 variant (exon 3: 3 repeats) are also described.DiscussionA genetic influence on monoaminergic involvement in impulsivity shown by children with ADHD was found. There were trends for separate and overlapping influences on impulsive-aggressive behavior and cognitive impulsivity, where an association with PNMT (and arousal mechanisms affected by its activity) was more clearly involved in the latter. Serotonergic and dopaminergic mechanisms were implicated in both forms of impulsivity with a wider range of serotonergic mechanisms (each with a small effect) potentially influencing cognitive impulsivity. These preliminary results should be followed up with an examination of environmental influences and associations with performance on tests of impulsivity in the laboratory.


American Journal of Medical Genetics | 2008

Genome-wide association scan of the time to onset of attention deficit hyperactivity disorder

Jessica Lasky-Su; Richard Anney; Benjamin M. Neale; Barbara Franke; Kaixin Zhou; Julian Maller; Alejandro Arias Vasquez; Wai Chen; Philip Asherson; Jan K. Buitelaar; Tobias Banaschewski; Richard P. Ebstein; Michael Gill; Ana Miranda; Fernando Mulas; Robert D. Oades; Herbert Roeyers; Aribert Rothenberger; Joseph A. Sergeant; Edmund Sonuga-Barke; Hans-Christoph Steinhausen; Eric Taylor; Mark J. Daly; Nan M. Laird; Christoph Lange; Stephen V. Faraone

A time‐to‐onset analysis for family‐based samples was performed on the genomewide association (GWAS) data for attention deficit hyperactivity disorder (ADHD) to determine if associations exist with the age at onset of ADHD. The initial dataset consisted of 958 parent‐offspring trios that were genotyped on the Perlegen 600,000 SNP array. After data cleaning procedures, 429,981 autosomal SNPs and 930 parent‐offspring trios were used found suitable for use and a family‐based logrank analysis was performed using that age at first ADHD symptoms as the quantitative trait of interest. No SNP achieved genome‐wide significance, and the lowest P‐values had a magnitude of 10−7. Several SNPs among a pre‐specified list of candidate genes had nominal associations including SLC9A9, DRD1, ADRB2, SLC6A3, NFIL3, ADRB1, SYT1, HTR2A, ARRB2, and CHRNA4. Of these findings SLC9A9 stood out as a promising candidate, with nominally significant SNPs in six distinct regions of the gene.


American Journal of Respiratory and Critical Care Medicine | 2008

ARG1 is a novel bronchodilator response gene: screening and replication in four asthma cohorts

Augusto A. Litonjua; Jessica Lasky-Su; Kady Schneiter; Kelan G. Tantisira; Ross Lazarus; Barbara J. Klanderman; John J. Lima; Charles G. Irvin; Stephen P. Peters; John P. Hanrahan; Stephen B. Liggett; Gregory A. Hawkins; Deborah A. Meyers; Eugene R. Bleecker; Christoph Lange; Scott T. Weiss

RATIONALE Inhaled beta-agonists are one of the most widely used classes of drugs for the treatment of asthma. However, a substantial proportion of patients with asthma do not have a favorable response to these drugs, and identifying genetic determinants of drug response may aid in tailoring treatment for individual patients. OBJECTIVES To screen variants in candidate genes in the steroid and beta-adrenergic pathways for association with response to inhaled beta-agonists. METHODS We genotyped 844 single nucleotide polymorphisms (SNPs) in 111 candidate genes in 209 children and their parents participating in the Childhood Asthma Management Program. We screened the association of these SNPs with acute response to inhaled beta-agonists (bronchodilator response [BDR]) using a novel algorithm implemented in a family-based association test that ranked SNPs in order of statistical power. Genes that had SNPs with median power in the highest quartile were then taken for replication analyses in three other asthma cohorts. MEASUREMENTS AND MAIN RESULTS We identified 17 genes from the screening algorithm and genotyped 99 SNPs from these genes in a second population of patients with asthma. We then genotyped 63 SNPs from four genes with significant associations with BDR, for replication in a third and fourth population of patients with asthma. Evidence for association from the four asthma cohorts was combined, and SNPs from ARG1 were significantly associated with BDR. SNP rs2781659 survived Bonferroni correction for multiple testing (combined P value = 0.00048, adjusted P value = 0.047). CONCLUSIONS These findings identify ARG1 as a novel gene for acute BDR in both children and adults with asthma.

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Scott T. Weiss

Brigham and Women's Hospital

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Benjamin A. Raby

Brigham and Women's Hospital

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Augusto A. Litonjua

University of Rochester Medical Center

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Kelan G. Tantisira

Brigham and Women's Hospital

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