ArticleGenes2014
Lessons and Implications from Genome-Wide Association Studies (GWAS) Findings of Blood Cell Phenotypes.
Article in Genes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- Replication and Characterization of Association between ABO SNPs and Red Blood Cell Traits by Meta-Analysis in Europeans.PloS one · 2016Pooled it
- Influence of Genetic Variants in EGF and Other Genes on Hematological Traits in Korean Populations by a Genome-Wide Approach.BioMed research international · 2015Pooled it
- Deciphering and targeting oncogenic pathways through integrated approaches and amino acid metabolism in hematologic malignancies.Discover oncology · 2025Review
- Causal role of immune cells in hypertension: a bidirectional Mendelian randomization study.Frontiers in cardiovascular medicine · 2024Article
- Genetics of Human Primary Hypertension: Focus on Hormonal Mechanisms.Endocrine reviews · 2019Review
- Generalization and fine mapping of red blood cell trait genetic associations to multi-ethnic populations: The PAGE Study.American journal of hematology · 2018Article
- Differential DNA methylation in peripheral blood mononuclear cells in adolescents exposed to significant early but not later childhood adversity.Development and psychopathology · 2016Article
- From GWAS to function: lessons from blood cells.ISBT science series · 2016Article
- Hereditary xerocytosis revisited.American journal of hematology · 2014Article
- Genome-wide association study identifies candidate Loci associated with platelet count in koreans.Genomics & informatics · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide association studies (GWAS) have identified reproducible genetic associations with hundreds of human diseases and traits. The vast majority of these associated single nucleotide polymorphisms (SNPs) are non-coding, highlighting the challenge in moving from genetic findings to mechanistic and functional insights. Nevertheless, large-scale (epi)genomic studies and bioinformatic analyses strongly suggest that GWAS hits are not randomly distributed in the genome but rather pinpoint specific biological pathways important for disease development or phenotypic variation. In this review, we focus on GWAS discoveries for the three main blood cell types: red blood cells, white blood cells and platelets. We summarize the knowledge gained from GWAS of these phenotypes and discuss their possible clinical implications for common (e.g., anemia) and rare (e.g., myeloproliferative neoplasms) human blood-related diseases. Finally, we argue that blood phenotypes are ideal to study the genetics of complex human traits because they are fully amenable to experimental testing.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.