30 research outputs found

    The Association of Maternal Obesity and Race with Pregnancy Weight Gain and Small for Gestational Age Infant Birth: The Effect of Prenatal Care

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    Objective: To examine the association of maternal obesity, race/ethnicity, and prenatal care on high gestational weight gain (GWG) and small for gestational age (SGA) infant birth. Methods: This was a retrospective cohort study of births included in the PRAMS Phase 8 dataset (2016-2017). The study population was 53,893 non-diabetic women with a singleton in-hospital birth between 37 and 42 weeks gestational age. Results: Only obese non-Hispanic white and Hispanic women showed a consistent decrease in adjusted odds of high GWG as prenatal care visit category increased. Only non-Hispanic white women showed a lower increase in adjusted odds of an SGA infant birth with more compared to intermediate prenatal care. Conclusions: The effectiveness of prenatal care in reducing high GWG varies by race for women with a BMI outside a healthy range. More prenatal care did not reduce SGA infant births amongst overweight or obese women. Policy implications: Interventions to improve prenatal care delivery for overweight or obese women should consider race

    GWAS Meta-Analysis of Suicide Attempt: Identification of 12 Genome-Wide Significant Loci and Implication of Genetic Risks for Specific Health Factors

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    Objective: Suicidal behavior is heritable and is a major cause of death worldwide. Two large-scale genome-wide association studies (GWASs) recently discovered and crossvalidated genome-wide significant (GWS) loci for suicide attempt (SA). The present study leveraged the genetic cohorts from both studies to conduct the largest GWAS metaanalysis of SA to date. Multi-ancestry and admixture-specific meta-analyses were conducted within groups of significant African, East Asian, and European ancestry admixtures. Methods: This study comprised 22 cohorts, including 43,871 SA cases and 915,025 ancestry-matched controls. Analytical methods across multi-ancestry and individual ancestry admixtures included inverse variance-weighted fixed-effects meta-analyses, followed by gene, gene-set, tissue-set, and drug-target enrichment, as well as summary-data-based Mendelian randomization with brain expression quantitative trait loci data, phenome-wide genetic correlation, and genetic causal proportion analyses. Results: Multi-ancestry and European ancestry admixture GWAS meta-analyses identified 12 risk loci at p values &lt;5×10-8. These loci were mostly intergenic and implicated DRD2, SLC6A9, FURIN, NLGN1, SOX5, PDE4B, and CACNG2. The multi-ancestry SNP-based heritability estimate of SA was 5.7% on the liability scale (SE=0.003, p=5.7×10-80). Significant brain tissue gene expression and drug set enrichment were observed. There was shared genetic variation of SA with attention deficit hyperactivity disorder, smoking, and risk tolerance after conditioning SA on both major depressive disorder and posttraumatic stress disorder. Genetic causal proportion analyses implicated shared genetic risk for specific health factors. Conclusions: This multi-ancestry analysis of suicide attempt identified several loci contributing to risk and establishes significant shared genetic covariation with clinical phenotypes. These findings provide insight into genetic factors associated with suicide attempt across ancestry admixture populations, in veteran and civilian populations, and in attempt versus death.</p

    GWAS Meta-Analysis of Suicide Attempt: Identification of 12 Genome-Wide Significant Loci and Implication of Genetic Risks for Specific Health Factors

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    OBJECTIVE: Suicidal behavior is heritable and is a major cause of death worldwide. Two large-scale genome-wide association studies (GWASs) recently discovered and cross-validated genome-wide significant (GWS) loci for suicide attempt (SA). The present study leveraged the genetic cohorts from both studies to conduct the largest GWAS meta-analysis of SA to date. Multi-ancestry and admixture-specific meta-analyses were conducted within groups of significant African, East Asian, and European ancestry admixtures. METHODS: This study comprised 22 cohorts, including 43,871 SA cases and 915,025 ancestry-matched controls. Analytical methods across multi-ancestry and individual ancestry admixtures included inverse variance-weighted fixed-effects meta-analyses, followed by gene, gene-set, tissue-set, and drug-target enrichment, as well as summary-data-based Mendelian randomization with brain expression quantitative trait loci data, phenome-wide genetic correlation, and genetic causal proportion analyses. RESULTS: Multi-ancestry and European ancestry admixture GWAS meta-analyses identified 12 risk loci at p values \u3c5×10 CONCLUSIONS: This multi-ancestry analysis of suicide attempt identified several loci contributing to risk and establishes significant shared genetic covariation with clinical phenotypes. These findings provide insight into genetic factors associated with suicide attempt across ancestry admixture populations, in veteran and civilian populations, and in attempt versus death

    Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors

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    Background Suicide is a leading cause of death worldwide, and nonfatal suicide attempts, which occur far more frequently, are a major source of disability and social and economic burden. Both have substantial genetic etiology, which is partially shared and partially distinct from that of related psychiatric disorders. Methods We conducted a genome-wide association study (GWAS) of 29,782 suicide attempt (SA) cases and 519,961 controls in the International Suicide Genetics Consortium (ISGC). The GWAS of SA was conditioned on psychiatric disorders using GWAS summary statistics via multitrait-based conditional and joint analysis, to remove genetic effects on SA mediated by psychiatric disorders. We investigated the shared and divergent genetic architectures of SA, psychiatric disorders, and other known risk factors. Results Two loci reached genome-wide significance for SA: the major histocompatibility complex and an intergenic locus on chromosome 7, the latter of which remained associated with SA after conditioning on psychiatric disorders and replicated in an independent cohort from the Million Veteran Program. This locus has been implicated in risk-taking behavior, smoking, and insomnia. SA showed strong genetic correlation with psychiatric disorders, particularly major depression, and also with smoking, pain, risk-taking behavior, sleep disturbances, lower educational attainment, reproductive traits, lower socioeconomic status, and poorer general health. After conditioning on psychiatric disorders, the genetic correlations between SA and psychiatric disorders decreased, whereas those with nonpsychiatric traits remained largely unchanged. Conclusions Our results identify a risk locus that contributes more strongly to SA than other phenotypes and suggest a shared underlying biology between SA and known risk factors that is not mediated by psychiatric disorders.Peer reviewe

    Open Conversations: Diversifying the Discipline or Disciplining Diversity?: A Roundtable Discussion on Collecting Demographics Data

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    © 2020 by The History of Science Society. All rights reserved. The Open Conversations section is a new format for Isis. “Diversifying the Discipline or Disciplining Diversity?” is a conversation among seven scholars that has been edited by Projit Mukharji and myself, with some of our own thoughts contributed to frame and introduce the various themes and threads that emerged in these exchanges. Each contributor was asked to respond to a set of questions about a proposed plan from the Editorial Board of Isis to collect demographic information about those who submit articles to the journal. After the initial round, the contributors were all asked to respond to at least two other pieces in a follow-up reflection. Projit and I then wove all these together into this set of exchanges. These are our seven contributors

    Associations between weight suppression and dimensions of eating disorder psychopathology in a multisite sample

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    Evidence suggests that weight suppression, the difference between an individual’s highest historical body weight and current body weight, may play a role in the etiology and/or maintenance of eating disorders (EDs), and may also impact ED treatment. However, there are limited findings regarding the association between weight suppression and dimensions of ED psychopathology, particularly in multi-diagnostic ED samples. Participants were 1748 adults (94% female) from five sites with a variety of DSM-IV ED diagnoses who completed the Eating Disorder Questionnaire, a self-report measure of various attitudinal, behavioral, and medical features of EDs. Four factor analytically derived dimensions of ED psychopathology were examined: (a) weight/shape concerns, (b) binge eating/vomiting, (c) exercise/restrictive eating behaviors, and (d) weight control medication use. Hierarchical regression analyses were conducted to examine the unique association of weight suppression with each dimension (controlling for ED diagnosis and BMI), as well as the independent unique associations of three interactions: (a) weight suppression × BMI, (b) weight suppression × ED diagnosis, and (c) BMI × ED diagnosis. Results revealed that weight suppression was uniquely associated with all of the ED psychopathology dimensions except binge eating/vomiting. The weight suppression × BMI interaction was significant only for weight/shape concerns, whereas the weight suppression × ED diagnosis was not significant for any of the dimensions. Significant BMI × ED diagnosis interactions were found for all dimensions except weight/shape concerns. Overall, the current results support the salience of weight suppression across multiple dimensions of ED psychopathology, with the exception of binge eating/vomiting
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