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Showing papers by "Susan L. Santangelo published in 2022"


Journal ArticleDOI
Daniel J. Weiner, Emi Ling, Serkan Erdin, Derek J. C. Tai, Rachita Yadav, Jakob Grove, Jack Fu, Ajay Nadig, Nikolas Baya, Jonas Bybjerg-Grauholm, Preben Bo Mortensen, Thomas Werge, Ditte Demontis, Ole Mors, Merete Nordentoft, Thomas Damm Als, M. Baekvad-Hansen, Anders Rosengren, Alexandra Havdahl, Anne Hedemand, Aarno Palotie, Aravinda Chakravarti, Dan E. Arking, Arvis Sulovari, Anna Starnawska, Bhooma Thiruvahindrapuram, Christiaan de Leeuw, Caitlin E. Carey, Christine Ladd-Acosta, C. van der Merwe, Bernie Devlin, Edwin H. Cook, Evan E. Eichler, Elizabeth Corfield, Gwen C. Dieleman, Gerard D. Schellenberg, Hakon Hakonarson, Hilary Coon, Isabel Dziobek, Jacob A. S. Vorstman, Jessica B. Girault, James S. Sutcliffe, Jinjie Duan, John I. Nurnberger, Joachim Hallmayer, Joseph D. Buxbaum, Joseph Piven, Lauren A. Weiss, Lea K. Davis, Magdalena Janecka, Manuel Mattheisen, Matthew W. State, Michael Gill, Mark J. Daly, Mohammed Uddin, Ole Andreassen, Peter Szatmari, Phil Lee, Richard Anney, Stephan Ripke, F. Kyle Satterstrom, Susan L. Santangelo, Susanna Campbell Kuo, Ludger Tebartz van Elst, Thomas Rolland, T. Bougeron, Tinca J. C. Polderman, Tychele N. Turner, Jacky Underwood, V Manikandan, Vamsee Pillalamarri, Varun Warrier, Alexandra Philipsen, Andreas Reif, Anke Hinney, Bru Cormand, Claiton H.D. Bau, Diego L. Rovaris, Edmund J.S. Sonuga-Barke, Eugenio H. Grevet, Giovanni Abrahão Salum, Henrik Larsson, Jan K. Buitelaar, Jan Haavik, James Cooke McGough, Jonna Kuntsi, Josephine Elia, Klaus-Peter Lesch, Marieke Klein, Mark A. Bellgrove, Martin Tesli, Patrick W. L. Leung, Pedro Mario Pan, Søren Dalsgaard, Sandra K. Loo, Sarah E. Medland, Stephen V. Faraone, Ted Reichborn-Kjennerud, Tobias Banaschewski, Ziarih Hawi, Sabina Berretta, Evan Z. Macosko, Jonathan Sebat, Luke J. O’Connor, David M. Hougaard, Anders D. Børglum, Michael E. Talkowski, Steven A. McCarroll, Elise B. Robinson 
TL;DR: In this article , the authors identify the 33-Mb p-arm of chromosome 16 (16p) as harboring the greatest excess of autism's common polygenic influences, including the mechanistically cryptic and autism-associated 16p11.2 copy number variant.
Abstract: The canonical paradigm for converting genetic association to mechanism involves iteratively mapping individual associations to the proximal genes through which they act. In contrast, in the present study we demonstrate the feasibility of extracting biological insights from a very large region of the genome and leverage this strategy to study the genetic influences on autism. Using a new statistical approach, we identified the 33-Mb p-arm of chromosome 16 (16p) as harboring the greatest excess of autism's common polygenic influences. The region also includes the mechanistically cryptic and autism-associated 16p11.2 copy number variant. Analysis of RNA-sequencing data revealed that both the common polygenic influences within 16p and the 16p11.2 deletion were associated with decreased average gene expression across 16p. The transcriptional effects of the rare deletion and diffuse common variation were correlated at the level of individual genes and analysis of Hi-C data revealed patterns of chromatin contact that may explain this transcriptional convergence. These results reflect a new approach for extracting biological insight from genetic association data and suggest convergence of common and rare genetic influences on autism at 16p.

7 citations


Journal ArticleDOI
TL;DR: Vitamin D treatment was associated with greater odds of extended hospitalization, mechanical ventilation/ECMO, and death or hospice referral, and patients treated with vitamin D were older, had more comorbidities, and higher BMI compared with patients who did not receive vitamin D.
Abstract: Abstract: Background It is unclear whether vitamin D benefits inpatients with COVID-19. Objective: To examine the relationship between vitamin D and COVID-19 outcomes. Design: Cohort study. Setting: National COVID Cohort Collaborative (N3C) database. Patients: 158,835 patients with confirmed COVID-19 and a sub-cohort with severe disease (n = 81,381) hospitalized between 1 January 2020 and 31 July 2021. Methods: We identified vitamin D prescribing using codes for vitamin D and its derivatives. We created a sub-cohort defined as having severe disease as those who required mechanical ventilation or extracorporeal membrane oxygenation (ECMO), had hospitalization >5 days, or hospitalization ending in death or hospice. Using logistic regression, we adjusted for age, sex, race, BMI, Charlson Comorbidity Index, and urban/rural residence, time period, and study site. Outcomes of interest were death or transfer to hospice, longer length of stay, and mechanical ventilation/ECMO. Results: Patients treated with vitamin D were older, had more comorbidities, and higher BMI compared with patients who did not receive vitamin D. Vitamin D treatment was associated with an increased odds of death or referral for hospice (adjusted odds ratio (AOR) 1.10: 95% CI 1.05–1.14), hospital stay >5 days (AOR 1.78: 95% CI 1.74–1.83), and increased odds of mechanical ventilation/ECMO (AOR 1.49: 95% CI 1.44–1.55). In the sub-cohort of severe COVID-19, vitamin D decreased the odds of death or hospice (AOR 0.90, 95% CI 0.86–0.94), but increased the odds of hospital stay longer >5 days (AOR 2.03, 95% CI 1.87–2.21) and mechanical ventilation/ECMO (AOR 1.16, 95% CI 1.12–1.21). Limitations: Our findings could reflect more aggressive treatment due to higher severity. Conclusion: Vitamin D treatment was associated with greater odds of extended hospitalization, mechanical ventilation/ECMO, and death or hospice referral.

3 citations


Journal ArticleDOI
TL;DR: An ordinal severity scale with well-defined, robust features, based on discrete EHR data elements, is useful for assessments of COVID-19 patient outcomes, providing insights on the progression of CO VID-19 disease severity over time.
Abstract: Abstract Objectives Although the World Health Organization (WHO) Clinical Progression Scale for COVID-19 is useful in prospective clinical trials, it cannot be effectively used with retrospective Electronic Health Record (EHR) datasets. Modifying the existing WHO Clinical Progression Scale, we developed an ordinal severity scale (OS) and assessed its usefulness in the analyses of COVID-19 patient outcomes using retrospective EHR data. Materials and Methods An OS was developed to assign COVID-19 disease severity using the Observational Medical Outcomes Partnership common data model within the National COVID Cohort Collaborative (N3C) data enclave. We then evaluated usefulness of the developed OS using heterogenous EHR data from January 2020 to October 2021 submitted to N3C by 63 healthcare organizations across the United States. Principal component analysis (PCA) was employed to characterize changes in disease severity among patients during the 28-day period following COVID-19 diagnosis. Results The data set used in this analysis consists of 2 880 456 patients. PCA of the day-to-day variation in OS levels over the totality of the 28-day period revealed contrasting patterns of variation in disease severity within the first and second 14 days and illustrated the importance of evaluation over the full 28-day period. Discussion An OS with well-defined, robust features, based on discrete EHR data elements, is useful for assessments of COVID-19 patient outcomes, providing insights on the progression of COVID-19 disease severity over time. Conclusions The OS provides a framework that can facilitate better understanding of the course of acute COVID-19, informing clinical decision-making and resource allocation.

1 citations


Journal ArticleDOI
TL;DR: The authors investigated resting-state thalamocortical functional connectivity in 8-25-year-olds with ASD and their typically developing (TD) peers and found increased thalamic connectivity with temporal cortex relative to TD.
Abstract: There is converging evidence that abnormal thalamocortical interactions contribute to attention deficits and sensory sensitivities in autism spectrum disorder (ASD). However, previous functional MRI studies of thalamocortical connectivity in ASD have produced inconsistent findings in terms of both the direction (hyper vs. hypoconnectivity) and location of group differences. This may reflect, in part, the confounding effects of head motion during scans. In the present study, we investigated resting‐state thalamocortical functional connectivity in 8–25 year‐olds with ASD and their typically developing (TD) peers. We used pre‐scan training, on‐line motion correction, and rigorous data quality assurance protocols to minimize motion confounds. ASD participants showed increased thalamic connectivity with temporal cortex relative to TD. Both groups showed similar age‐related decreases in thalamic connectivity with occipital cortex, consistent with a process of circuit refinement. Findings of thalamocortical hyperconnectivity in ASD are consistent with other evidence that decreased thalamic inhibition leads to increase and less filtered sensory information reaching the cortex where it disrupts attention and contributes to sensory sensitivity. This literature motivates studies of mechanisms, functional consequences, and treatment of thalamocortical circuit dysfunction in ASD.

1 citations