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Correction: Replication and Characterization of Association between ABO SNPs and Red Blood Cell Traits by Meta-Analysis in Europeans
- Source :
- PLoS ONE
- Publication Year :
- 2018
-
Abstract
- Red blood cell (RBC) traits are routinely measured in clinical practice as important markers of health. Deviations from the physiological ranges are usually a sign of disease, although variation between healthy individuals also occurs, at least partly due to genetic factors. Recent large scale genetic studies identified loci associated with one or more of these traits; further characterization of known loci and identification of new loci is necessary to better understand their role in health and disease and to identify potential molecular mechanisms. We performed meta-analysis of Metabochip association results for six RBC traits—hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), mean corpuscular volume (MCV) and red blood cell count (RCC)—in 11 093 Europeans from seven studies of the UCL-LSHTM-Edinburgh-Bristol (UCLEB) Consortium. We identified 394 non-overlapping SNPs in five loci at genome-wide significance: 6p22.1-6p21.33 (with HFE among others), 6q23.2 (with HBS1L among others), 6q23.3 (contains no genes), 9q34.3 (only ABO gene) and 22q13.1 (with TMPRSS6 among others), replicating previous findings of association with RBC traits at these loci and extending them by imputation to 1000 Genomes. We further characterized associations between ABO SNPs and three traits: hemoglobin, hematocrit and red blood cell count, replicating them in an independent cohort. Conditional analyses indicated the independent association of each of these traits with ABO SNPs and a role for blood group O in mediating the association. The 15 most significant RBC-associated ABO SNPs were also associated with five cardiometabolic traits, with discordance in the direction of effect between groups of traits, suggesting that ABO may act through more than one mechanism to influence cardiometabolic risk.
- Subjects :
- Physiology
Quantitative Trait Loci
Research and Analysis Methods
Biochemistry
Mathematical and Statistical Techniques
Animal Cells
hemic and lymphatic diseases
Red Blood Cells
Genetics
Medicine and Health Sciences
Hemoglobin
Statistical Methods
Trait Locus Analysis
Blood Cells
Biology and Life Sciences
Computational Biology
Proteins
Cell Biology
Hematology
Genomics
Genome Analysis
Body Fluids
Health Care
Blood
Genetic Loci
Physical Sciences
Health Services Research
Cellular Types
Anatomy
Blood Groups
Mathematics
Statistics (Mathematics)
Research Article
Meta-Analysis
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 13
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- PloS one
- Accession number :
- edsair.pmid..........fdb017faeb48f5f0d70d821cff94139d