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Showing papers by "Michael C. Neale published in 2023"


Journal ArticleDOI
25 May 2023-JAMA
TL;DR: This article developed a definition of postacute sequelae of SARS-CoV-2 infection (PASC) using self-reported symptoms and described PASC frequencies across cohorts, vaccination status, and number of infections.
Abstract: Importance SARS-CoV-2 infection is associated with persistent, relapsing, or new symptoms or other health effects occurring after acute infection, termed postacute sequelae of SARS-CoV-2 infection (PASC), also known as long COVID. Characterizing PASC requires analysis of prospectively and uniformly collected data from diverse uninfected and infected individuals. Objective To develop a definition of PASC using self-reported symptoms and describe PASC frequencies across cohorts, vaccination status, and number of infections. Design, Setting, and Participants Prospective observational cohort study of adults with and without SARS-CoV-2 infection at 85 enrolling sites (hospitals, health centers, community organizations) located in 33 states plus Washington, DC, and Puerto Rico. Participants who were enrolled in the RECOVER adult cohort before April 10, 2023, completed a symptom survey 6 months or more after acute symptom onset or test date. Selection included population-based, volunteer, and convenience sampling. Exposure SARS-CoV-2 infection. Main Outcomes and Measures PASC and 44 participant-reported symptoms (with severity thresholds). Results A total of 9764 participants (89% SARS-CoV-2 infected; 71% female; 16% Hispanic/Latino; 15% non-Hispanic Black; median age, 47 years [IQR, 35-60]) met selection criteria. Adjusted odds ratios were 1.5 or greater (infected vs uninfected participants) for 37 symptoms. Symptoms contributing to PASC score included postexertional malaise, fatigue, brain fog, dizziness, gastrointestinal symptoms, palpitations, changes in sexual desire or capacity, loss of or change in smell or taste, thirst, chronic cough, chest pain, and abnormal movements. Among 2231 participants first infected on or after December 1, 2021, and enrolled within 30 days of infection, 224 (10% [95% CI, 8.8%-11%]) were PASC positive at 6 months. Conclusions and Relevance A definition of PASC was developed based on symptoms in a prospective cohort study. As a first step to providing a framework for other investigations, iterative refinement that further incorporates other clinical features is needed to support actionable definitions of PASC.

18 citations


Journal ArticleDOI
TL;DR: In this article , the ACE model and several extensions in the Adolescent Brain Cognitive Development℠ Study (ABCD Study®, employed using the new Fast Efficient Mixed Effects Analysis (FEMA) package, were presented.
Abstract: Twin and family studies have historically aimed to partition phenotypic variance into components corresponding to additive genetic effects (A), common environment (C), and unique environment (E). Here we present the ACE Model and several extensions in the Adolescent Brain Cognitive Development℠ Study (ABCD Study®), employed using the new Fast Efficient Mixed Effects Analysis (FEMA) package. In the twin sub-sample (n = 924; 462 twin pairs), heritability estimates were similar to those reported by prior studies for height (twin heritability = 0.86) and cognition (twin heritability between 0.00 and 0.61), respectively. Incorporating SNP-derived genetic relatedness and using the full ABCD Study® sample (n = 9,742) led to narrower confidence intervals for all parameter estimates. By leveraging the sparse clustering method used by FEMA to handle genetic relatedness only for participants within families, we were able to take advantage of the diverse distribution of genetic relatedness within the ABCD Study® sample.

2 citations


Journal ArticleDOI
TL;DR: In this paper , the authors proposed a test of genotype-environment interaction based on the classical twin design, which includes observed genetic variables (polygenic scores: PGSs) that account for part of the genetic variance of the phenotype.
Abstract: One type of genotype-environment interaction occurs when genetic effects on a phenotype are moderated by an environment; or when environmental effects on a phenotype are moderated by genes. Here we outline these types of genotype-environment interaction models, and propose a test of genotype-environment interaction based on the classical twin design, which includes observed genetic variables (polygenic scores: PGSs) that account for part of the genetic variance of the phenotype. We introduce environment-by-PGS interaction and the results of a simulation study to address statistical power and parameter recovery. Next, we apply the model to empirical data on anxiety and negative affect in children. The power to detect environment-by-PGS interaction depends on the heritability of the phenotype, and the strength of the PGS. The simulation results indicate that under realistic conditions of sample size, heritability and strength of the interaction, the environment-by-PGS model is a viable approach to detect genotype-environment interaction. In 7-year-old children, we defined two PGS based on the largest genetic association studies for 2 traits that are genetically correlated to childhood anxiety and negative affect, namely major depression (MDD) and intelligence (IQ). We find that common environmental influences on negative affect are amplified for children with a lower IQ-PGS.

Journal ArticleDOI
TL;DR: A longitudinal twin cohort study was conducted from 1967 to 2019 among male adults with a mean (SD) age of 37.75 (2.52) years to follow-up at mean ages of 56.
Abstract: Importance Subjective memory concern has long been considered a state-related indicator of impending cognitive decline or dementia. The possibility that subjective memory concern may itself be a heritable trait is largely ignored, yet such an association would substantially confound its use in clinical or research settings. Objective To assess the heritability and traitlike dimensions of subjective memory concern and its clinical correlates. Design, Setting, and Participants This longitudinal twin cohort study was conducted from 1967 to 2019 among male adults with a mean (SD) age of 37.75 (2.52) years to follow-up at mean ages of 56.15 (2.72), 61.50 (2.43), and 67.35 (2.57) years (hereafter, 38, 56, 62, and 67 years, respectively) in the Vietnam Era Twin Study of Aging. The study included a national community-dwelling sample with health, education, and lifestyle characteristics comparable to a general sample of US men in this age cohort. Participants were monozygotic and dizygotic twins randomly recruited from the Vietnam Era Twin Registry. Data were analyzed from May 2021 to December 2022. Main Outcomes and Measures Measures included subjective memory concern at 4 time points; objective memory, depressive symptoms, and anxiety at the last 3 time points; negative emotionality (trait neuroticism) at age 56 years; polygenic risk scores (PRSs) for neuroticism, depression, and Alzheimer disease; APOE genotype; and parental history of dementia. Primary outcomes were heritability and correlations between subjective memory concern and other measures. Results The sample included 1555 male adults examined at age 38 years, 520 at age 56 years (due to late introduction of subjective memory concern questions), 1199 at age 62 years, and 1192 at age 67 years. Phenotypically, subjective memory concerns were relatively stable over time. At age 56 years, subjective memory concern had larger correlations with depressive symptoms (r, 0.32; 95% CI, 0.21 to 0.42), anxiety (r, 0.36; 95% CI, 0.18 to 0.51), and neuroticism (r, 0.34; 95% CI, 0.26 to 0.41) than with objective memory (r, -0.24; 95% CI, -0.33 to -0.13). Phenotypic results were similar at ages 62 and 67 years. A best-fitting autoregressive twin model indicated that genetic influences on subjective memory concern accumulated and persisted over time (h2 = 0.26-0.34 from age 38-67 years). At age 56 years, genetic influences for subjective memory concern were moderately correlated with genetic influences for anxiety (r, 0.36; 95% CI, 0.18 to 0.51), negative emotionality (r, 0.51; 95% CI, 0.44-0.57), and depressive symptoms (r, 0.20; 95% CI, 0.10 to 0.29) as well as objective memory (r, -0.22; 95% CI, -0.30 to -0.14). Similar genetic correlations were seen at ages 62 and 67 years. The neuroticism PRS was associated with subjective memory concern at age 38 years (r, 0.10; 95% CI, 0.03. to 0.18) and age 67 years (r, 0.09; 95% CI, 0.01 to 0.16). Subjective memory concern was not associated with any Alzheimer disease risk measures. Conclusions and Relevance This cohort study found stable genetic influences underlying subjective memory concern dating back to age 38 years. Subjective memory concern had larger correlations with affect-related measures than with memory-related measures. Improving the utility of subjective memory concern as an indicator of impending cognitive decline and dementia may depend on isolating its statelike component from its traitlike component.

Journal ArticleDOI
TL;DR: This article examined whether integrating information from AD brain signatures based on mean diffusivity (MD) can aid in the interpretation of cortical thickness/volume as a risk factor for future ADrelated changes.

Journal ArticleDOI
TL;DR: The lagged effects in cross-lagged panel models (CLPMs) depend on the time interval between repeated observations as mentioned in this paper , which is also known as the repeated interval.
Abstract: The lagged effects in cross-lagged panel models (CLPM) depend on the time interval between repeated

Journal ArticleDOI
TL;DR: In this article , a new category of structural equation models called Product of Variables Models (PoV) is introduced, where variables that are products of other variables can be decomposed into the sources of variance due to the multiplicands.
Abstract: A general method is introduced in which variables that are products of other variables in the context of a structural equation model (SEM) can be decomposed into the sources of variance due to the multiplicands. The result is a new category of SEM which we call a Products of Variables Model (PoV). Some useful and practical features of PoV models include the estimation of interactions between latent variables, latent variable moderators, manifest moderators with missing values, and manifest or latent squared terms. Expected means and covariances are analytically derived for a simple product of two variables and it is shown that the method reproduces previously published results for this special case. It is shown algebraically that using centered multiplicands results in an unidentified model, but if the multiplicands have non-zero means, the result is identified. The method has been implemented in OpenMx and Ωnyx and is applied in five extensive simulations.

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the contribution of genetic and environmental risk factors to the etiology of alcohol use disorders by extended twin pedigree modeling and found that AUD is highly heritable.
Abstract: OBJECTIVE Using Swedish nationwide registry data, we investigated the contribution of genetic and environmental risk factors to the etiology of alcohol use disorders by extended twin pedigree modeling. METHODS Alcohol use disorder (AUD) was defined using public inpatient, outpatient, prescription and criminal records. Three-generational pedigrees were selected for index individuals born between 1980-1990, obtained from the national twin and genealogical registers, whose parents were twins. Relatives of the twins included in the pedigrees were their parents, siblings, spouses and children. Genetic structural equation modeling was applied to the population-based data on AUD, using OpenMx, with age used as a covariate. RESULTS Analyses including up to 162,469 individuals in 18,971 pedigrees estimated AUD prevalence at 5-12% in males and 2-5% in females. Results indicated substantial heritability (~50-60%) of which a portion upwards of 5% was due to the consequences of assortative mating. Contributions of shared environmental factors to AUD, which represent a mix of within and cross-generational effects, appeared to be moderate (~10-20%). Unique environment accounted for the remaining variance (~20-30%). Sex differences in the magnitude of the variance components suggested higher heritability in males and correspondingly higher shared environmental contributions in females. CONCLUSIONS Using objective registry data, we found that AUD is highly heritable. Furthermore, shared environmental factors contributed significantly to the liability of AUD in both males and females.

Posted ContentDOI
Rachel S. Gross, Tanayott Thaweethai, Erika B. Rosenzweig, James Chan, Lori B Chibnik, Mine S. Cicek, Amy J. Elliott, Valerie J. Flaherman, Andrea S. Foulkes, Margot Gage Witvliet, R Gallagher, Maria Laura Gennaro, Terry L. Jernigan, Elizabeth W. Karlson, Stuart D. Katz, Patricia A. Kinser, Lawrence C. Kleinman, Michelle F. Lamendola-Essel, Joshua D. Milner, Sindhu Mohandas, Praveen Mudumbi, Jane W. Newburger, Kyung E. Rhee, Amy L. Salisbury, Jessica Snowden, Cheryl R. Stein, Melissa S. Stockwell, Kelan G. Tantisira, Moriah E. Thomason, Dongngan T. Truong, David Warburton, John N. Wood, Akram N. Alshawabkeh, Brett R. Anderson, Andrew M. Atz, Robin L. Aupperle, Fiona C. Baker, Venkataraman Balaraman, Dithi Banerjee, Deanna M. Barch, Arielle R. Baskin-Sommers, S. A. Bhuiyan, Marie-Abele Bind, Amanda Bogie, Elliott Bueler, H. Bükülmez, B. J. Casey, Linda Chang, Duncan B. Clark, Rebecca G. Clifton, Katharine N. Clouser, Lesley Cottrell, Kelly J. Cowan, Viren D'Sa, Mirella Dapretto, Soham Dasgupta, Walter Dehority, Kirsten Dummer, Matthew D. Elias, Danielle Evans, Edward Vincent S. Faustino, Alexander G. Fiks, Daniel Forsha, John J. Foxe, Naomi P. Friedman, G.P. Fry, Sunanda Gaur, Dylan G. Gee, Kevin M. Gray, Ashraf S Harahsheh, Andrew C. Heath, Mary M. Heitzeg, Christina M. Hester, S. Hill, Laura J. Hobart-Porter, Travis Hong, Carol R. Horowitz, Daniel Hsia, Matthew J. Huentelman, K.-D. Hummel, William G. Iacono, Katherine Irby, Joanna Jacobus, Vanessa L. Jacoby, Pei-Ni Jone, David C. Kaelber, Matthew Kluko, Jessica S. Kosut, Angela R. Laird, Jeremy Landeo-Gutierrez, Sean M. Lang, Christine L. Larson, Krista M. Lisdahl, Brian W. McCrindle, Russell J. McCulloh, Alan L. Mendelsohn, Torri D. Metz, Lerraughn M. Morgan, Eva M. Müller-Oehring, Erica R. Nahin, Michael C. Neale, Manette Ness-Cochinwala, Sheila M. Nolan, C. R. Oliveira, Matthew E. Oster, R. Mark Payne, Hengameh H. Raissy, S. Rao, H. T. Reeder, Johana M. Rosas, Mark W. Russell, Arash Alen Sabati, Yamuna Sanil, Alice I. Sato, Michael S. Schechter, Rangaraj Selvarangan, Divya Shakti, Kavita Sharma, Lindsay M. Squeglia, Michelle D. Stevenson, Jacqueline R. Szmuszkovicz, Maria Talavera-Barber, Ronald J. Teufel, Deepika Thacker, Sara E. Watson, Alan Werzberger, H. Shonna Yin, William T. Zempsky, Emily Zimmerman, Benard P. Dreyer 
01 May 2023-medRxiv
TL;DR: The Pediatric Observational Cohort Study of the NIH's REsearching COVID to Enhance Recovery (RECOVER) Initiative is an observational meta-cohort study of caregiver-child pairs (birth through 17 years) and young adults (18 through 25 years), recruited from more than 100 sites across the US as mentioned in this paper .
Abstract: Importance: The prevalence, pathophysiology, and long-term outcomes of COVID-19 (post-acute sequelae of SARS-CoV-2 [PASC] or "Long COVID") in children and young adults remain unknown. Studies must address the urgent need to define PASC, its mechanisms, and potential treatment targets in children and young adults. Observations: We describe the protocol for the Pediatric Observational Cohort Study of the NIHs REsearching COVID to Enhance Recovery (RECOVER) Initiative. RECOVER-Pediatrics is an observational meta-cohort study of caregiver-child pairs (birth through 17 years) and young adults (18 through 25 years), recruited from more than 100 sites across the US. This report focuses on two of five cohorts that comprise RECOVER-Pediatrics: 1) a de novo RECOVER prospective cohort of children and young adults with and without previous or current infection; and 2) an extant cohort derived from the Adolescent Brain Cognitive Development (ABCD) study (n=10,000). The de novo cohort incorporates three tiers of data collection: 1) remote baseline assessments (Tier 1, n=6000); 2) longitudinal follow-up for up to 4 years (Tier 2, n=6000); and 3) a subset of participants, primarily the most severely affected by PASC, who will undergo deep phenotyping to explore PASC pathophysiology (Tier 3, n=600). Youth enrolled in the ABCD study participate in Tier 1. The pediatric protocol was developed as a collaborative partnership of investigators, patients, researchers, clinicians, community partners, and federal partners, intentionally promoting inclusivity and diversity. The protocol is adaptive to facilitate responses to emerging science. Conclusions and Relevance: RECOVER-Pediatrics seeks to characterize the clinical course, underlying mechanisms, and long-term effects of PASC from birth through 25 years old. RECOVER-Pediatrics is designed to elucidate the epidemiology, four-year clinical course, and sociodemographic correlates of pediatric PASC. The data and biosamples will allow examination of mechanistic hypotheses and biomarkers, thus providing insights into potential therapeutic interventions.