Browsing by Author "Miguel, Euripedes C."

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    Partitioning the heritability of Tourette syndrome and obsessive compulsive disorder reveals differences in genetic architecture
    (PLoS, 2013-10) Davis, Lea K.; Yu, Dongmei; Keenan, Clare L.; Gamazon, Eric R.; Konkashbaev, Anuar I.; Derks, Eske M.; Neale, Benjamin M.; Yang, Jian; Lee, S. Hong; Evans, Patrick; Barr, Cathy L.; Bellodi, Laura; Benarroch, Fortu; Berrio, Gabriel Bedoya; Bienvenu, Oscar J.; Bloch, Michael H.; Blom, Rianne M.; Bruun, Ruth D.; Budman, Cathy L.; Camarena, Beatriz; Campbell, Desmond; Cappi, Carolina; Silgado, Julio C. Cardona; Cath, Danielle C.; Cavallini, Maria C.; Chavira, Denise A.; Chouinard, Sylvain; Conti, David. V.; Cook, Edwin H.; Coric, Vladimir; Cullen, Bernadette A.; Deforce, Dieter; Delorme, Richard; Dion, Yves; Edlund, Christopher K.; Egberts, Karin; Falkai, Peter; Fernandez, Thomas V.; Gallagher, Patience J.; Garrido, Helena; Geller, Daniel; Girard, Simon L.; Grabe, Hans J.; Grados, Marco A.; Greenberg, Benjamin D.; Gross-Tsur, Varda; Haddad, Stephen; Heiman, Gary A.; Hemmings, Sian M. J.; Hounie, Ana G.; Illmann, Cornelia; Jankovic, Joseph; Jenike, Michael A.; Kennedy, James L.; King, Robert A.; Kremeyer, Barbara; Kurlan, Roger; Lanzagorta, Nuria; Leboyer, Marion; Leckman, James F.; Lennertz, Leonhard; Liu, Chunyu; Lochner, Christine; Lowe, Thomas L.; Macciardi, Fabio; McCracken, James T.; McGrath, Lauren M.; Mesa Restrepo, Sandra C.; Moessner, Rainald; Morgan, Jubel; Muller, Heike; Murphy, Dennis L.; Naarden, Allan L.; Ochoa, William Cornejo; Ophoff, Roel A.; Osiecki, Lisa; Pakstis, Andrew J.; Pato, Michele T.; Pato, Carlos N.; Piacentini, John; Pittenger, Christopher; Pollak, Yehuda; Rauch, Scott L.; Renner, Tobias J.; Reus, Victor I.; Richter, Margaret A.; Riddle, Mark A.; Robertson, Mary M.; Romero, Roxana; Rosario, Maria C.; Rosenberg, David; Rouleau, Guy A.; Ruhrmann, Stephan; Ruiz-Linares, Andres; Sampaio, Aline S.; Samuels, Jack; Sandor, Paul; Sheppard, Brooke; Singer, Harvey S.; Smit, Jan H.; Stein, Dan J.; Strengman, E.; Tischfield, Jay A.; Valencia Duarte, Ana V.; Vallada, Homero; Van Nieuwerburgh, Filip; Veenstra-VanderWeele, Jeremy; Walitza, Susanne; Wang, Ying; Wendland, Jens R.; Westenberg, Herman G. M.; Shugart, Yin Yao; Miguel, Euripedes C.; McMahon, William; Wagner, Michael; Nicolini, Humberto; Posthuma, Danielle; Hanna, Gregory L.; Heutnik, Peter; Denys, Damiaan; Arnold, Paul D.; Oostra, Ben A.; Nestadt, Gerald; Freimer, Nelson B.; Pauls, David L.; Wray, Naomi R.; Stewart, S. Evelyn; Mathews, Carol A.; Knowles, James A.; Cox, Nancy J.; Shcarf, Jeremiah M.
    The direct estimation of heritability from genome-wide common variant data as implemented in the program Genome-wide Complex Trait Analysis (GCTA) has provided a means to quantify heritability attributable to all interrogated variants. We have quantified the variance in liability to disease explained by all SNPs for two phenotypically-related neurobehavioral disorders, obsessive-compulsive disorder (OCD) and Tourette Syndrome (TS), using GCTA. Our analysis yielded a heritability point estimate of 0.58 (se = 0.09, p = 5.64e-12) for TS, and 0.37 (se = 0.07, p = 1.5e-07) for OCD. In addition, we conducted multiple genomic partitioning analyses to identify genomic elements that concentrate this heritability. We examined genomic architectures of TS and OCD by chromosome, MAF bin, and functional annotations. In addition, we assessed heritability for early onset and adult onset OCD. Among other notable results, we found that SNPs with a minor allele frequency of less than 5% accounted for 21% of the TS heritability and 0% of the OCD heritability. Additionally, we identified a significant contribution to TS and OCD heritability by variants significantly associated with gene expression in two regions of the brain (parietal cortex and cerebellum) for which we had available expression quantitative trait loci (eQTLs). Finally we analyzed the genetic correlation between TS and OCD, revealing a genetic correlation of 0.41 (se = 0.15, p = 0.002). These results are very close to previous heritability estimates for TS and OCD based on twin and family studies, suggesting that very little, if any, heritability is truly missing (i.e., unassayed) from TS and OCD GWAS studies of common variation. The results also indicate that there is some genetic overlap between these two phenotypically-related neuropsychiatric disorders, but suggest that the two disorders have distinct genetic architectures.
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    Toward identifying reproducible brain signatures of obsessive-compulsive profiles : rationale and methods for a new global initiative
    (BMC (part of Springer Nature), 2020-02-14) Simpson, Helen Blair; Van Den Heuvel, Odile A.; Miguel, Euripedes C.; Reddy, Y. C. J.; Stein, Dan J.; Lewis-Fernandez, Roberto; Shavitt, Roseli Gedanke; Lochner, Christine; Pouwels, Petra J. W.; Narayanawamy, Janardhanan C.; Venkatasubramanian, Ganesan; Hezel, Dianne M.; Vriend, Chris; Batistuzzo, Marcelo C.; Hoexter, Marcelo Q.; De Joode, Niels T.; Costa, Daniel Lucas; De Mathis, Maria Alice; Sheshachala, Karthik; Narayan, Madhuri; Van Balkom, Anton J. L. M.; Batelaan, Neeltje M.; Venkataram, Shivakumar; Cherian, Anish; Marincowitz, Clara; Pannekoek, Nienke; Stovezky, Yael R.; Mare, Karen; Liu, Feng; Otaduy, Maria Concepcion Garcia; Pastorello, Bruno; Rao, Rashmi; Katechis, Martha; Van Meter, Page; Wall, Melanie
    Background: Obsessive-compulsive disorder (OCD) has a lifetime prevalence of 2–3% and is a leading cause of global disability. Brain circuit abnormalities in individuals with OCD have been identified, but important knowledge gaps remain. The goal of the new global initiative described in this paper is to identify robust and reproducible brain signatures of measurable behaviors and clinical symptoms that are common in individuals with OCD. A global approach was chosen to accelerate discovery, to increase rigor and transparency, and to ensure generalizability of results. Methods: We will study 250 medication-free adults with OCD, 100 unaffected adult siblings of individuals with OCD, and 250 healthy control subjects at five expert research sites across five countries (Brazil, India, Netherlands, South Africa, and the U.S.). All participants will receive clinical evaluation, neurocognitive assessment, and magnetic resonance imaging (MRI). The imaging will examine multiple brain circuits hypothesized to underlie OCD behaviors, focusing on morphometry (T1-weighted MRI), structural connectivity (Diffusion Tensor Imaging), and functional connectivity (resting-state fMRI). In addition to analyzing each imaging modality separately, we will also use multi-modal fusion with machine learning statistical methods in an attempt to derive imaging signatures that distinguish individuals with OCD from unaffected siblings and healthy controls (Aim #1). Then we will examine how these imaging signatures link to behavioral performance on neurocognitive tasks that probe these same circuits as well as to clinical profiles (Aim #2). Finally, we will explore how specific environmental features (childhood trauma, socioeconomic status, and religiosity) moderate these brain-behavior associations. Discussion: Using harmonized methods for data collection and analysis, we will conduct the largest neurocognitive and multimodal-imaging study in medication-free subjects with OCD to date. By recruiting a large, ethno-culturally diverse sample, we will test whether there are robust biosignatures of core OCD features that transcend countries and cultures. If so, future studies can use these brain signatures to reveal trans-diagnostic disease dimensions, chart when these signatures arise during development, and identify treatments that target these circuit abnormalities directly. The long-term goal of this research is to change not only how we conceptualize OCD but also how we diagnose and treat it. Obsessive-compulsive disorder (OCD) has a lifetime prevalence of 2–3% and is a leading cause of global disability. Brain circuit abnormalities in individuals with OCD have been identified, but important knowledge gaps remain. The goal of the new global initiative described in this paper is to identify robust and reproducible brain signatures of measurable behaviors and clinical symptoms that are common in individuals with OCD. A global approach was chosen to accelerate discovery, to increase rigor and transparency, and to ensure generalizability of results. Methods We will study 250 medication-free adults with OCD, 100 unaffected adult siblings of individuals with OCD, and 250 healthy control subjects at five expert research sites across five countries (Brazil, India, Netherlands, South Africa, and the U.S.). All participants will receive clinical evaluation, neurocognitive assessment, and magnetic resonance imaging (MRI). The imaging will examine multiple brain circuits hypothesized to underlie OCD behaviors, focusing on morphometry (T1-weighted MRI), structural connectivity (Diffusion Tensor Imaging), and functional connectivity (resting-state fMRI). In addition to analyzing each imaging modality separately, we will also use multi-modal fusion with machine learning statistical methods in an attempt to derive imaging signatures that distinguish individuals with OCD from unaffected siblings and healthy controls (Aim #1). Then we will examine how these imaging signatures link to behavioral performance on neurocognitive tasks that probe these same circuits as well as to clinical profiles (Aim #2). Finally, we will explore how specific environmental features (childhood trauma, socioeconomic status, and religiosity) moderate these brain-behavior associations. Discussion Using harmonized methods for data collection and analysis, we will conduct the largest neurocognitive and multimodal-imaging study in medication-free subjects with OCD to date. By recruiting a large, ethno-culturally diverse sample, we will test whether there are robust biosignatures of core OCD features that transcend countries and cultures. If so, future studies can use these brain signatures to reveal trans-diagnostic disease dimensions, chart when these signatures arise during development, and identify treatments that target these circuit abnormalities directly. The long-term goal of this research is to change not only how we conceptualize OCD but also how we diagnose and treat it.