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 , Tamara Hershey , Alexander S. Hatoum , Arpana Agrawal , Ryan Bogdan
{"title":"欧洲血统儿童c反应蛋白遗传风险的全现象关联研究(PheWAS):来自ABCD研究的结果","authors":"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 , Tamara Hershey , Alexander S. Hatoum , Arpana Agrawal , Ryan Bogdan","doi":"10.1016/j.bbi.2025.04.012","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>C-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.</div></div><div><h3>Methods</h3><div>We 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, range = 120–5,556) from the Adolescent Brain and Cognitive Development<sup>SM</sup> (ABCD) Study baseline assessment. Associations between CRP PRS and 2,377 psychosocial and neuroimaging phenotypes were estimated using independent mixed effects models nested by recruitment site (or scanner) and family, with ancestral genomic principal components (n = 10), age, and sex, as well as global brain metrics (when relevant) included as fixed effect covariates. <em>Post hoc</em> analyses examined whether: (1) covarying for measured body mass index (BMI) or removing the shared genetic architecture between CRP and BMI altered phenotypic associations, (2) sex moderated CRP PRS associations, and (3) associations were unconfounded by assortative mating or passive gene-environment correlations (using <em>within-family</em> analyses). Multiple testing was adjusted for using Bonferroni and false discovery rate (FDR) correction.</div></div><div><h3>Results</h3><div>Nine 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 <em>p</em>s = 1.2 x 10<sup>-7</sup> − 2.5 x 10<sup>-4</sup>, all <em>p<sub>FDR</sub></em>s = 0.0002–0.05). No neuroimaging phenotypes were associated with CRP PRS (all <em>p</em>s = 0.0003–0.998; all <em>p<sub>FDR</sub></em>s = 0.08–0.998) after correction for multiple testing. Eating and weight-related phenotypes remained associated with CRP PRS in within-family analyses. Covarying for BMI resulted in largely consistent results, and sex did not moderate any CRP PRS associations. Removing the shared genetic variance between CRP and BMI attenuated all relationships; associations with weekday video watching, caregiver somatic problems and caregiver report that the child is overweight remained significant while associations with waist circumference, weight, and caregiver report that child overeats did not.</div></div><div><h3>Discussion</h3><div>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.</div></div>","PeriodicalId":9199,"journal":{"name":"Brain, Behavior, and Immunity","volume":"128 ","pages":"Pages 487-496"},"PeriodicalIF":8.8000,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Phenome-Wide association study (PheWAS) of genetic risk for C-reactive protein in children of European Ancestry: Results from the ABCD study\",\"authors\":\"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 , Tamara Hershey , Alexander S. Hatoum , Arpana Agrawal , Ryan Bogdan\",\"doi\":\"10.1016/j.bbi.2025.04.012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>C-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.</div></div><div><h3>Methods</h3><div>We 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, range = 120–5,556) from the Adolescent Brain and Cognitive Development<sup>SM</sup> (ABCD) Study baseline assessment. Associations between CRP PRS and 2,377 psychosocial and neuroimaging phenotypes were estimated using independent mixed effects models nested by recruitment site (or scanner) and family, with ancestral genomic principal components (n = 10), age, and sex, as well as global brain metrics (when relevant) included as fixed effect covariates. <em>Post hoc</em> analyses examined whether: (1) covarying for measured body mass index (BMI) or removing the shared genetic architecture between CRP and BMI altered phenotypic associations, (2) sex moderated CRP PRS associations, and (3) associations were unconfounded by assortative mating or passive gene-environment correlations (using <em>within-family</em> analyses). Multiple testing was adjusted for using Bonferroni and false discovery rate (FDR) correction.</div></div><div><h3>Results</h3><div>Nine 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 <em>p</em>s = 1.2 x 10<sup>-7</sup> − 2.5 x 10<sup>-4</sup>, all <em>p<sub>FDR</sub></em>s = 0.0002–0.05). No neuroimaging phenotypes were associated with CRP PRS (all <em>p</em>s = 0.0003–0.998; all <em>p<sub>FDR</sub></em>s = 0.08–0.998) after correction for multiple testing. Eating and weight-related phenotypes remained associated with CRP PRS in within-family analyses. Covarying for BMI resulted in largely consistent results, and sex did not moderate any CRP PRS associations. Removing the shared genetic variance between CRP and BMI attenuated all relationships; associations with weekday video watching, caregiver somatic problems and caregiver report that the child is overweight remained significant while associations with waist circumference, weight, and caregiver report that child overeats did not.</div></div><div><h3>Discussion</h3><div>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.</div></div>\",\"PeriodicalId\":9199,\"journal\":{\"name\":\"Brain, Behavior, and Immunity\",\"volume\":\"128 \",\"pages\":\"Pages 487-496\"},\"PeriodicalIF\":8.8000,\"publicationDate\":\"2025-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brain, Behavior, and Immunity\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S088915912500145X\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain, Behavior, and Immunity","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S088915912500145X","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
A Phenome-Wide association study (PheWAS) of genetic risk for C-reactive protein in children of European Ancestry: Results from the ABCD study
Background
C-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.
Methods
We 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, range = 120–5,556) from the Adolescent Brain and Cognitive DevelopmentSM (ABCD) Study baseline assessment. Associations between CRP PRS and 2,377 psychosocial and neuroimaging phenotypes were estimated using independent mixed effects models nested by recruitment site (or scanner) and family, with ancestral genomic principal components (n = 10), age, and sex, as well as global brain metrics (when relevant) included as fixed effect covariates. Post hoc analyses examined whether: (1) covarying for measured body mass index (BMI) or removing the shared genetic architecture between CRP and BMI altered phenotypic associations, (2) sex moderated CRP PRS associations, and (3) associations were unconfounded by assortative mating or passive gene-environment correlations (using within-family analyses). Multiple testing was adjusted for using Bonferroni and false discovery rate (FDR) correction.
Results
Nine 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 ps = 1.2 x 10-7 − 2.5 x 10-4, all pFDRs = 0.0002–0.05). No neuroimaging phenotypes were associated with CRP PRS (all ps = 0.0003–0.998; all pFDRs = 0.08–0.998) after correction for multiple testing. Eating and weight-related phenotypes remained associated with CRP PRS in within-family analyses. Covarying for BMI resulted in largely consistent results, and sex did not moderate any CRP PRS associations. Removing the shared genetic variance between CRP and BMI attenuated all relationships; associations with weekday video watching, caregiver somatic problems and caregiver report that the child is overweight remained significant while associations with waist circumference, weight, and caregiver report that child overeats did not.
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.
期刊介绍:
Established in 1987, Brain, Behavior, and Immunity proudly serves as the official journal of the Psychoneuroimmunology Research Society (PNIRS). This pioneering journal is dedicated to publishing peer-reviewed basic, experimental, and clinical studies that explore the intricate interactions among behavioral, neural, endocrine, and immune systems in both humans and animals.
As an international and interdisciplinary platform, Brain, Behavior, and Immunity focuses on original research spanning neuroscience, immunology, integrative physiology, behavioral biology, psychiatry, psychology, and clinical medicine. The journal is inclusive of research conducted at various levels, including molecular, cellular, social, and whole organism perspectives. With a commitment to efficiency, the journal facilitates online submission and review, ensuring timely publication of experimental results. Manuscripts typically undergo peer review and are returned to authors within 30 days of submission. It's worth noting that Brain, Behavior, and Immunity, published eight times a year, does not impose submission fees or page charges, fostering an open and accessible platform for scientific discourse.