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Start Over Author "Nestadt G" Publisher escholarship, university of california
4 results on '"Nestadt G"'

1. Whole-genome association analysis of treatment response in obsessive-compulsive disorder.

Author

Qin, H, Samuels, JF, Wang, Y, Zhu, Y, Grados, MA, Riddle, MA, Greenberg, BD, Knowles, JA, Fyer, AJ, McCracken, JT, Murphy, DL, Rasmussen, SA, Cullen, BA, Piacentini, J, Geller, D, Stewart, SE, Pauls, D, Bienvenu, OJ, Goes, FS, Maher, B, Pulver, AE, Valle, D, Lange, C, Mattheisen, M, McLaughlin, NC, Liang, K-Y, Nurmi, EL, Askland, KD, Nestadt, G, and Shugart, YY

Subjects
Humans, Genetic Predisposition to Disease, Membrane Proteins, Serotonin Uptake Inhibitors, Treatment Outcome, Obsessive-Compulsive Disorder, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Adolescent, Adult, Aged, Middle Aged, Child, Female, Male, Genetic Variation, Genome-Wide Association Study, Self Report, Polymorphism, Single Nucleotide, Psychiatry, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences
Abstract

Up to 30% of patients with obsessive-compulsive disorder (OCD) exhibit an inadequate response to serotonin reuptake inhibitors (SRIs). To date, genetic predictors of OCD treatment response have not been systematically investigated using genome-wide association study (GWAS). To identify specific genetic variations potentially influencing SRI response, we conducted a GWAS study in 804 OCD patients with information on SRI response. SRI response was classified as 'response' (n=514) or 'non-response' (n=290), based on self-report. We used the more powerful Quasi-Likelihood Score Test (the MQLS test) to conduct a genome-wide association test correcting for relatedness, and then used an adjusted logistic model to evaluate the effect size of the variants in probands. The top single-nucleotide polymorphism (SNP) was rs17162912 (P=1.76 × 10(-8)), which is near the DISP1 gene on 1q41-q42, a microdeletion region implicated in neurological development. The other six SNPs showing suggestive evidence of association (P

Published
2016

2. Genome-wide association study in obsessive-compulsive disorder: results from the OCGAS.

Author

Mattheisen, M, Samuels, JF, Wang, Y, Greenberg, BD, Fyer, AJ, McCracken, JT, Geller, DA, Murphy, DL, Knowles, JA, Grados, MA, Riddle, MA, Rasmussen, SA, McLaughlin, NC, Nurmi, EL, Askland, KD, Qin, H-D, Cullen, BA, Piacentini, J, Pauls, DL, Bienvenu, OJ, Stewart, SE, Liang, K-Y, Goes, FS, Maher, B, Pulver, AE, Shugart, YY, Valle, D, Lange, C, and Nestadt, G

Subjects
Chromosomes, Human, Pair 9, Humans, Genetic Predisposition to Disease, Oligonucleotide Array Sequence Analysis, Follow-Up Studies, Gene Expression Profiling, Cooperative Behavior, Obsessive-Compulsive Disorder, Genotype, Polymorphism, Single Nucleotide, Adult, Family Health, Female, Male, Receptor-Like Protein Tyrosine Phosphatases, Class 2, Genome-Wide Association Study, Young Adult, Genetics, Human Genome, Mental Health, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

Obsessive-compulsive disorder (OCD) is a psychiatric condition characterized by intrusive thoughts and urges and repetitive, intentional behaviors that cause significant distress and impair functioning. The OCD Collaborative Genetics Association Study (OCGAS) is comprised of comprehensively assessed OCD patients with an early age of OCD onset. After application of a stringent quality control protocol, a total of 1065 families (containing 1406 patients with OCD), combined with population-based samples (resulting in a total sample of 5061 individuals), were studied. An integrative analyses pipeline was utilized, involving association testing at single-nucleotide polymorphism (SNP) and gene levels (via a hybrid approach that allowed for combined analyses of the family- and population-based data). The smallest P-value was observed for a marker on chromosome 9 (near PTPRD, P=4.13 × 10(-)(7)). Pre-synaptic PTPRD promotes the differentiation of glutamatergic synapses and interacts with SLITRK3. Together, both proteins selectively regulate the development of inhibitory GABAergic synapses. Although no SNPs were identified as associated with OCD at genome-wide significance level, follow-up analyses of genome-wide association study (GWAS) signals from a previously published OCD study identified significant enrichment (P=0.0176). Secondary analyses of high-confidence interaction partners of DLGAP1 and GRIK2 (both showing evidence for association in our follow-up and the original GWAS study) revealed a trend of association (P=0.075) for a set of genes such as NEUROD6, SV2A, GRIA4, SLC1A2 and PTPRD. Analyses at the gene level revealed association of IQCK and C16orf88 (both P

Published
2015

3. Association of SLC6A4 variants with obsessive-compulsive disorder in a large multicenter US family study

Author

Voyiaziakis, E, Evgrafov, O, Li, D, Yoon, H-J, Tabares, P, Samuels, J, Wang, Y, Riddle, MA, Grados, MA, Bienvenu, OJ, Shugart, YY, Liang, K-Y, Greenberg, BD, Rasmussen, SA, Murphy, DL, Wendland, JR, McCracken, JT, Piacentini, J, Rauch, SL, Pauls, DL, Nestadt, G, Fyer, AJ, and Knowles, JA

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical and Health Psychology, Clinical Sciences, Psychology, Genetics, Brain Disorders, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Adolescent, Adult, Child, Female, Genetic Predisposition to Disease, Haplotypes, Humans, Male, Obsessive-Compulsive Disorder, Pedigree, Polymorphism, Single Nucleotide, Serotonin Plasma Membrane Transport Proteins, Sex Distribution, United States, Young Adult, OCD genetics, family study, affected sib-pair study, molecular haplotype analysis, serotonin transporter, heterogeneity analysis, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

Genetic association studies of SLC6A4 (SERT) and obsessive-compulsive disorder (OCD) have been equivocal. We genotyped 1241 individuals in 278 pedigrees from the OCD Collaborative Genetics Study for 13 single-nucleotide polymorphisms, for the linked polymorphic region (LPR) indel with molecular haplotypes at rs25531, for VNTR polymorphisms in introns 2 and 7 and for a 381-bp deletion 3' to the LPR. We analyzed using the Family-Based Association Test (FBAT) under additive, dominant, recessive and genotypic models, using both OCD and sex-stratified OCD as phenotypes. Two-point FBAT analysis detected association between Int2 (P = 0.0089) and Int7 (P = 0.0187) (genotypic model). Sex-stratified two-point analysis showed strong association in females with Int2 (P

Published
2011

4. All SNPs are not created equal: genome-wide association studies reveal a consistent pattern of enrichment among functionally annotated SNPs

Author

Aj, Schork, Wk, Thompson, Pham P, Torkamani A, Jc, Roddey, Pf, Sullivan, Jr, Kelsoe, Donovan Mc, O., Furberg H, Tobacco and Genetics Consortium, Bipolar Disorder Psychiatric Genomics Consortium, Schizophrenia Psychiatric Genomics Consortium, Nj, Schork, Oa, Andreassen, Am, Dale, Absher D, Agudo A, Almgren P, Ardissino D, Tl, Assimes, Bandinelli S, Barzan L, Bencko V, Benhamou S, Ej, Benjamin, Bernardinelli L, Bis J, Boehnke M, Boerwinkle E, Di, Boomsma, Brennan P, Canova C, Castellsagué X, Chanock S, Chasman D, Di, Conway, Dackor J, Ej, Geus, Duan J, Elosua R, Everett B, Fabianova E, Ferrucci L, Foretova L, Sp, Fortmann, Franceschini N, Frayling T, Furberg C, Pv, Gejman, Groop L, Gu F, Guralnik J, Se, Hankinson, Haritunians T, Healy C, Hofman A, Holcátová I, Dj, Hunter, Sj, Hwang, Jp, Ioannidis, Iribarren C, Au, Jackson, Janout V, Kaprio J, Kim Y, Kjaerheim K, Jw, Knowles, Kraft P, Ladenvall C, Lagiou P, Lanthrop M, Lerman C, Df, Levinson, Levy D, Md, Li, Dy, Lin, Eh, Lips, Lissowska J, Lowry R, Lucas G, Tv, Macfarlane, Maes H, Pm, Mannucci, Mates D, Mauri F, Ja, Mcgovern, Jd, Mckay, McKnight B, Melander O, Pa, Merlini, Milaneschi Y, Kl, Mohlke, Donnell Cj, O., Pare G, Bw, Penninx, Perry J, Posthuma D, Sr, Preis, Psaty B, Quertermous T, Vs, Ramachandran, Richiardi L, Ridker P, Rose J, Rudnai P, Salomaa V, Ar, Sanders, Sm, Schwartz, Shi J, Jh, Smit, Hm, Stringham, Szeszenia-Dabrowska N, Tanaka T, Taylor K, Thacker E, Thornton L, Tiemeier H, Tuomilehto J, Ag, Uitterlinden, Cm, Duijn, Jm, Vink, Vogelzangs N, Bf, Voight, Walter S, Willemsen G, Zaridze D, Znaor A, Akil H, Anjorin A, Backlund L, Ja, Badner, Jd, Barchas, Tb, Barrett, Bass N, Bauer M, Bellivier F, Se, Bergen, Berrettini W, Blackwood D, Cs, Bloss, Breen G, Breuer R, We, Bunner, Burmeister M, Byerley W, Caesar S, Chambert K, Cichon S, St Clair D, Da, Collier, Corvin A, Wh, Coryell, Craddock N, Dw, Craig, Daly M, Day R, Degenhardt F, Djurovic S, Dudbridge F, Hj, Edenberg, Elkin A, Etain B, Ae, Farmer, Ma, Ferreira, Ferrier I, Flickinger M, Foroud T, Frank J, Fraser C, Frisén L, Es, Gershon, Gill M, Gordon-Smith K, Ek, Green, Ta, Greenwood, Grozeva D, Guan W, Gurling H, Ó, Gustafsson, Ml, Hamshere, Hautzinger M, Herms S, Hipolito M, Pa, Holmans, Cm, Hultman, Jamain S, Eg, Jones, Jones I, Jones L, Kandaswamy R, Jl, Kennedy, Gk, Kirov, Dl, Koller, Kwan P, Landén M, Langstrom N, Lathrop M, Lawrence J, Wb, Lawson, Leboyer M, Ph, Lee, Li J, Lichtenstein P, Lin D, Liu C, Fw, Lohoff, Lucae S, Pb, Mahon, Maier W, Ng, Martin, Mattheisen M, Matthews K, Mattingsdal M, Ka, Mcghee, McGuffin P, Mg, Mcinnis, McIntosh A, McKinney R, Aw, Mclean, Fj, Mcmahon, McQuillin A, Meier S, Melle I, Meng F, Pb, Mitchell, Gw, Montgomery, Moran J, Morken G, Dw, Morris, Moskvina V, Muglia P, Tw, Mühleisen, Wj, Muir, Müller-Myhsok B, Rm, Myers, Cm, Nievergelt, Nikolov I, Nimgaonkar V, Mm, Nöthen, Ji, Nurnberger, Ea, Nwulia, O'Dushlaine C, Osby U, Óskarsson H, Mj, Owen, Petursson H, Bs, Pickard, Porgeirsson P, Jb, Potash, Propping P, Sm, Purcell, Quinn E, Raychaudhuri S, Rice J, Rietschel M, Ruderfer D, Schalling M, Af, Schatzberg, Wa, Scheftner, Pr, Schofield, Tg, Schulze, Schumacher J, Mm, Schwarz, Scolnick E, Lj, Scott, Pd, Shilling, Sigurdsson E, Sklar P, En, Smith, Stefansson H, Stefansson K, Steffens M, Steinberg S, Strauss J, Strohmaier J, Szelinger S, Rc, Thompson, Tozzi F, Treutlein J, Jb, Vincent, Sj, Watson, Tf, Wienker, Williamson R, Sh, Witt, Wright A, Xu W, Ah, Young, Pp, Zandi, Zhang P, Zöllner S, Agartz I, Albus M, Alexander M, Rl, Amdur, Amin F, Bitter I, Dw, Black, Ad, Børglum, Ma, Brown, Bruggeman R, Ng, Buccola, Wf, Byerley, Cahn W, Rm, Cantor, Vj, Carr, Sv, Catts, Choudhury K, Cloninger C, Cormican P, Pa, Danoy, Datta S, DeHert M, Demontis D, Dikeos D, Donnelly P, Donohoe G, Duong L, Dwyer S, Fanous A, Fink-Jensen A, Freedman R, Nb, Freimer, Friedl M, Georgieva L, Giegling I, Glenthøj B, Godard S, Golimbet V, de Haan L, Hansen M, Hansen T, Am, Hartmann, Fa, Henskens, Dm, Hougaard, Ingason A, Av, Jablensky, Kd, Jakobsen, Jay M, Eg, Jönsson, Jürgens G, Rs, Kahn, Mc, Keller, Ks, Kendler, Kenis G, Kenny E, Konnerth H, Konte B, Krabbendam L, Krasucki R, Vk, Lasseter, Laurent C, Lencz T, Lerer F, Ky, Liang, Ja, Lieberman, Dh, Linszen, Lönnqvist J, Cm, Loughland, Aw, Maclean, Bs, Maher, Ak, Malhotra, Mallet J, Malloy P, Jj, Mcgrath, McLean DE, Pt, Michie, Milanova V, Mors O, Pb, Mortensen, Bj, Mowry, Myin-Germeys I, Neale B, Da, Nertney, Nestadt G, Nielsen J, Nordentoft M, Norton N, O'Neill F, Olincy A, Olsen L, Ra, Ophoff, Tf, Ørntoft, van Os J, Pantelis C, Papadimitriou G, Cn, Pato, Mt, Pato, Peltonen L, Pickard B, Op, Pietiläinen, Pimm J, Ae, Pulver, Puri V, Digby Quested, Hb, Rasmussen, Jm, Réthelyi, Ribble R, Bp, Riley, Rossin L, Ruggeri M, Rujescu D, Schall U, Sg, Schwab, Rj, Scott, Jm, Silverman, Cc, Spencer, Strange A, Strengman E, Stroup T, Suvisaari J, Terenius L, Thirumalai S, Timm S, Toncheva D, Tosato S, Ej, Den Oord, Veldink J, Pm, Visscher, Walsh D, Ag, Wang, Werge T, Wiersma D, Db, Wildenauer, Hj, Williams, Nm, Williams, van Winkel R, Wormley B., Biological Psychology, Functional Genomics, Educational Neuroscience, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, LEARN! - Social cognition and learning, Biophotonics and Medical Imaging, LEARN! - Brain, learning and development, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Mental Health, Neuroscience Campus Amsterdam - Brain Imaging Technology, LaserLaB - Biophotonics and Microscopy, ANS - Amsterdam Neuroscience, Adult Psychiatry, Psychiatry, Human genetics, Epidemiology and Data Science, NCA - Brain mechanisms in health and disease, NCA - Neurobiology of mental health, EMGO - Mental health, NCA - Brain imaging technology, Psychiatrie & Neuropsychologie, RS: MHeNs School for Mental Health and Neuroscience, Gibson, Greg, Germeys, Inez, van Winkel, Ruud, and De Hert, Marc

Subjects
False discovery rate, Netherlands Twin Register (NTR), Cancer Research, Linkage disequilibrium, Genome-wide association study, Linkage Disequilibrium, 0302 clinical medicine, 2.1 Biological and endogenous factors, Aetiology, Genetics (clinical), Genetics, 0303 health sciences, Statistics, Genomics, Single Nucleotide, Genome Scans, Tobacco and Genetics Consortium, Functional Genomics, Phenotype, complex trait, Research Article, Bipolar Disorder Psychiatric Genomics Consortium, lcsh:QH426-470, SNP, Single-nucleotide polymorphism, Computational biology, Biostatistics, Biology, Polymorphism, Single Nucleotide, 03 medical and health sciences, "genome-wide association study", Genome Analysis Tools, Clinical Research, Schizophrenia Psychiatric Genomics Consortium, Genome-Wide Association Studies, Humans, Genetic Predisposition to Disease, Statistical Methods, Polymorphism, Molecular Biology, Genetic Association Studies, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, Genetic association, Linkage (software), Human Genome, Computational Biology, Human Genetics, Heritability, R1, schizophrenia, lcsh:Genetics, Schizophrenia, Mathematics, 030217 neurology & neurosurgery, Genome-Wide Association Study, Developmental Biology
Abstract

Recent results indicate that genome-wide association studies (GWAS) have the potential to explain much of the heritability of common complex phenotypes, but methods are lacking to reliably identify the remaining associated single nucleotide polymorphisms (SNPs). We applied stratified False Discovery Rate (sFDR) methods to leverage genic enrichment in GWAS summary statistics data to uncover new loci likely to replicate in independent samples. Specifically, we use linkage disequilibrium-weighted annotations for each SNP in combination with nominal p-values to estimate the True Discovery Rate (TDR = 1−FDR) for strata determined by different genic categories. We show a consistent pattern of enrichment of polygenic effects in specific annotation categories across diverse phenotypes, with the greatest enrichment for SNPs tagging regulatory and coding genic elements, little enrichment in introns, and negative enrichment for intergenic SNPs. Stratified enrichment directly leads to increased TDR for a given p-value, mirrored by increased replication rates in independent samples. We show this in independent Crohn's disease GWAS, where we find a hundredfold variation in replication rate across genic categories. Applying a well-established sFDR methodology we demonstrate the utility of stratification for improving power of GWAS in complex phenotypes, with increased rejection rates from 20% in height to 300% in schizophrenia with traditional FDR and sFDR both fixed at 0.05. Our analyses demonstrate an inherent stratification among GWAS SNPs with important conceptual implications that can be leveraged by statistical methods to improve the discovery of loci., Author Summary Modern genome-wide association studies (GWAS) have failed to identify large portions of the genetic basis of common, complex traits. Recent work suggested this could be because many genetic variants, each with individually small effects, compose their genetic architecture, limiting the power of GWAS. Moreover, these variants appear more abundantly in and near genes. Using genome annotations, summary statistics from several of the largest GWAS, and established statistical methods for quantifying distributions of test statistics, we show a consistency across studies. Namely, we show that, across all assessed traits, the test statistics resulting from SNPs that are related to the 5′ UTR of genes show the largest abundance of associations, while SNPs related to exons and the 3′UTR are also enriched. SNPs related to introns are only moderately enriched, and intergenic SNPs show a depletion of associations relative to the average SNP. This enrichment corresponds directly to increased replication across independent samples and can be incorporated a priori into statistical methods to improve discovery and prediction. Our results contribute to on-going debates about the functional nature of the genetic architecture of complex traits and point to avenues for leveraging existing GWAS data for discovery in future GWA and sequencing studies.

Published
2013

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