Literature DB >> 21700265

Complement receptor 1 gene variants are associated with erythrocyte sedimentation rate.

Iftikhar J Kullo1, Keyue Ding, Khader Shameer, Catherine A McCarty, Gail P Jarvik, Joshua C Denny, Marylyn D Ritchie, Zi Ye, David R Crosslin, Rex L Chisholm, Teri A Manolio, Christopher G Chute.   

Abstract

The erythrocyte sedimentation rate (ESR), a commonly performed test of the acute phase response, is the rate at which erythrocytes sediment in vitro in 1 hr. The molecular basis of erythrocyte sedimentation is unknown. To identify genetic variants associated with ESR, we carried out a genome-wide association study of 7607 patients in the Electronic Medical Records and Genomics (eMERGE) network. The discovery cohort consisted of 1979 individuals from the Mayo Clinic, and the replication cohort consisted of 5628 individuals from the remaining four eMERGE sites. A nonsynonymous SNP, rs6691117 (Val→IIe), in the complement receptor 1 gene (CR1) was associated with ESR (discovery cohort p = 7 × 10(-12), replication cohort p = 3 × 10(-14), combined cohort p = 9 × 10(-24)). We imputed 61 SNPs in CR1, and a "possibly damaging" SNP (rs2274567, His→Arg) in linkage disequilibrium (r(2) = 0.74) with rs6691117 was also associated with ESR (discovery p = 5 × 10(-11), replication p = 7 × 10(-17), and combined cohort p = 2 × 10(-25)). The two nonsynonymous SNPs in CR1 are near the C3b/C4b binding site, suggesting a possible mechanism by which the variants may influence ESR. In conclusion, genetic variation in CR1, which encodes a protein that clears complement-tagged inflammatory particles from the circulation, influences interindividual variation in ESR, highlighting an association between the innate immunity pathway and erythrocyte interactions.
Copyright © 2011 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21700265      PMCID: PMC3135803          DOI: 10.1016/j.ajhg.2011.05.019

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  36 in total

1.  Three-dimensional structure of a complement control protein module in solution.

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Journal:  J Infect Dis       Date:  2008-12-15       Impact factor: 5.226

3.  Complement receptor 1 expression on mouse erythrocytes mediates clearance of Streptococcus pneumoniae by immune adherence.

Authors:  Jie Li; Jennifer P Wang; Ionita Ghiran; Anna Cerny; Alexander J Szalai; David E Briles; Robert W Finberg
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4.  Ligation of complement receptor 1 increases erythrocyte membrane deformability.

Authors:  Aleksandra M Glodek; Rossen Mirchev; David E Golan; Joseph A Khoory; Jennie M Burns; Sergey S Shevkoplyas; Anne Nicholson-Weller; Ionita C Ghiran
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5.  A complement receptor-1 polymorphism with high frequency in malaria endemic regions of Asia but not Africa.

Authors:  B N Thomas; B Donvito; I Cockburn; T Fandeur; J A Rowe; J H M Cohen; J M Moulds
Journal:  Genes Immun       Date:  2005-02       Impact factor: 2.676

6.  C-reactive protein and other circulating markers of inflammation in the prediction of coronary heart disease.

Authors:  John Danesh; Jeremy G Wheeler; Gideon M Hirschfield; Shinichi Eda; Gudny Eiriksdottir; Ann Rumley; Gordon D O Lowe; Mark B Pepys; Vilmundur Gudnason
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7.  Some influences on the ESR and the fibrinogen level in healthy subjects.

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Review 10.  Complement Receptor 1: disease associations and therapeutic implications.

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Journal:  Mol Immunol       Date:  2008-11-11       Impact factor: 4.407

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  43 in total

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Authors:  Khader Shameer; Lokesh P Tripathi; Krishna R Kalari; Joel T Dudley; Ramanathan Sowdhamini
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Review 2.  Electronic medical records as a tool in clinical pharmacology: opportunities and challenges.

Authors:  D M Roden; H Xu; J C Denny; R A Wilke
Journal:  Clin Pharmacol Ther       Date:  2012-06       Impact factor: 6.875

3.  Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network.

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Review 5.  A review of the role of electronic health record in genomic research.

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Review 6.  Patient Electronic Health Records as a Means to Approach Genetic Research in Gastroenterology.

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7.  High density GWAS for LDL cholesterol in African Americans using electronic medical records reveals a strong protective variant in APOE.

Authors:  Laura J Rasmussen-Torvik; Jennifer A Pacheco; Russell A Wilke; William K Thompson; Marylyn D Ritchie; Abel N Kho; Arun Muthalagu; M Geoff Hayes; Loren L Armstrong; Douglas A Scheftner; John T Wilkins; Rebecca L Zuvich; David Crosslin; Dan M Roden; Joshua C Denny; Gail P Jarvik; Christopher S Carlson; Iftikhar J Kullo; Suzette J Bielinski; Catherine A McCarty; Rongling Li; Teri A Manolio; Dana C Crawford; Rex L Chisholm
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8.  Effect of CR1 Genetic Variants on Cerebrospinal Fluid and Neuroimaging Biomarkers in Healthy, Mild Cognitive Impairment and Alzheimer's Disease Cohorts.

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9.  Maternal coding variants in complement receptor 1 and spontaneous idiopathic preterm birth.

Authors:  Jude J McElroy; Courtney E Gutman; Christian M Shaffer; Tamara D Busch; Hilkka Puttonen; Kari Teramo; Jeffrey C Murray; Mikko Hallman; Louis J Muglia
Journal:  Hum Genet       Date:  2013-04-17       Impact factor: 4.132

10.  Identification of Nonresponse to Treatment Using Narrative Data in an Electronic Health Record Inflammatory Bowel Disease Cohort.

Authors:  Ashwin N Ananthakrishnan; Andrew Cagan; Tianxi Cai; Vivian S Gainer; Stanley Y Shaw; Guergana Savova; Susanne Churchill; Elizabeth W Karlson; Shawn N Murphy; Katherine P Liao; Isaac Kohane
Journal:  Inflamm Bowel Dis       Date:  2016-01       Impact factor: 5.325

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