ArticlemedRxiv : the preprint server for health sciences2024
A Phenome-Wide Association Study (PheWAS) of Genetic Risk for C-Reactive Protein in Children of European Ancestry: Results From the ABCD Study.
Sara A Norton, Aaron J Gorelik, Sarah E Paul, Emma C Johnson, David Aa Baranger, Jayne L Siudzinski, Zhaolong Adrian Li, Erin Bondy, Hailey Modi, Nicole R Karcher and 4 more
Abstract readPreprint
In one paragraphArticle in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
14 authors.
Sara A NortonWashington University in St. Louis, Department of Psychological & Brain Sciences.
Aaron J GorelikWashington University in St. Louis, Department of Psychological & Brain Sciences.
Sarah E PaulWashington University in St. Louis, Department of Psychological & Brain Sciences.
Emma C JohnsonWashington University School of Medicine in St. Louis, Department of Psychiatry.
David Aa BarangerWashington University in St. Louis, Department of Psychological & Brain Sciences.
Jayne L SiudzinskiWashington University in St. Louis, Department of Psychological & Brain Sciences.
Zhaolong Adrian LiWashington University School of Medicine in St. Louis, Department of Psychiatry.
Erin BondyUniversity of North Carolina School of Medicine, Department of Psychiatry.
Hailey ModiWashington University School of Medicine in St. Louis, Division of Biological and Biomedical Sciences.
Nicole R KarcherWashington University School of Medicine in St. Louis, Department of Psychiatry.
Tamara HersheyWashington University School of Medicine in St. Louis, Department of Psychiatry.
Alexander S HatoumWashington University School of Medicine in St. Louis, Department of Psychiatry.
Arpana AgrawalWashington University School of Medicine in St. Louis, Department of Psychiatry.
Ryan BogdanWashington University in St. Louis, Department of Psychological & Brain Sciences.
Funding
ABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$54.7MABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5MAdolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5MABCD-USA Consortium: Research ProjectU01DA041089 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Joanna Jacobus, Susan F. Tapert · 2015 to 2026
$31.7MProspective Research Studies of Maturation (PRISM)- Research ProjectU01DA041134 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI ERIN MCGLADE, PERRY FRANKLIN RENSHAW · 2015 to 2026
$29.2MABCD-USA CONSORTIUM: RESEARCH PROJECTU01DA041048 · NIDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Megan Marie Herting, ELIZABETH R SOWELL · 2015 to 2026
$28.7MABCD-USA Consortium: Research ProjectU01DA041106 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mary M Heitzeg, Chandra Sekhar Sripada · 2015 to 2026
$24.9MFIU-ABCD: Pathways and Mechanisms to Addiction in the Latino Youth of South FloridaU01DA041156 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI Raul Gonzalez, Angela R Laird · 2015 to 2026
$22.8MABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3MABCD-USA: NYC Research ProjectU01DA041174 · NIDA · YALE UNIVERSITY · PI Arielle Ryan Baskin-Sommers, Betty J Casey · 2015 to 2026
$19.7MAdolescent Brain Cognitive Development (ABCD) Prospective Research in Studies of Maturation (PRISM) ConsortiumU01DA041117 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI LINDA CHANG, THOMAS M ERNST · 2015 to 2026
$19.5MABCD-USA Consortium:Research ProjectU01DA041028 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DUNCAN B. CLARK, BEATRIZ LUNA · 2015 to 2026
$13.9MNIAAA NIH HHS F31 AA029934NIAAA NIH HHS K01 AA030083NIAAA NIH HHS K99 AA030808NIAAA NIH HHS R21 AA027827NIA NIH HHS R01 AG045231NIA NIH HHS R01 AG061162NIDA NIH HHS K01 DA051759NIDA NIH HHS R01 DA046224NIDA NIH HHS R01 DA054750NIDA NIH HHS U01 DA041022NIDA NIH HHS U01 DA041025NIDA NIH HHS U01 DA041028NIDA NIH HHS U01 DA041048NIDA NIH HHS U01 DA041089NIDA NIH HHS U01 DA041093NIDA NIH HHS U01 DA041106NIDA NIH HHS U01 DA041117NIDA NIH HHS U01 DA041120NIDA NIH HHS U01 DA041134NIDA NIH HHS U01 DA041148NIDA NIH HHS U01 DA041156NIDA NIH HHS U01 DA041174NIDA NIH HHS U01 DA055367NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147
6 · The paper itselfAbstract
backgroundC-reactive protein (CRP) is a moderately heritable marker of systemic inflammation that is associated with adverse physical and mental health outcomes. Identifying factors associated with genetic liability to elevated CRP in childhood may inform our understanding of variability in CRP that could be targeted to prevent and/or delay the onset of related health outcomes.
methodsWe conducted a phenome-wide association study (PheWAS) of genetic risk for elevated CRP (i.e. CRP polygenic risk score [PRS]) among children genetically similar to European ancestry reference populations (median analytic n = 5,509) from the Adolescent Brain and Cognitive Development
resultsNine phenotypes were positively associated with CRP PRS after multiple testing correction: five weight- and eating-related phenotypes (e.g. BMI, overeating), three phenotypes related to caregiver somatic problems (e.g. caregiver somatic complaints), as well as weekday video watching (all DISCUSSION: Genetic liability to elevated CRP is associated with higher weight, eating, and weekday video watching during childhood as well as caregiver somatic problems. These associations were consistent with direct genetic effects (i.e., not solely due to confounding factors like passive gene-environment correlations) and were independent of measured BMI. The majority of associations with weight and eating phenotypes were attributable to shared genetic architecture between BMI and inflammation. The relationship between genetics and heightened inflammation in later life may be partially attributable to modifiable behaviors (e.g. weight and activity levels) that are expressed as early as childhood.
Indexed as
ABCDBMIC-reactive proteinCRPeatinginflammationPheWASpolygenic risk scoresedentaryweight
Identifiers
PMID39252928
PMCPMC11383484
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