ArticleOncotarget2017
Genome-wide haplotype association study identify the FGFR2 gene as a risk gene for acute myeloid leukemia.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 4 of them syntheses that pooled it.
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Who cites it
26 citing papers in PubMed, 4 syntheses or guidelines pooled it, 43 citations in OpenAlex.
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- Epigenome-wide association study of global cortical volumes in generation Scotland: Scottish family health study.Epigenetics · 2022Pooled it
- A multi-population phenome-wide association study of genetically-predicted height in the Million Veteran Program.PLoS genetics · 2022Pooled it
- Replication and meta-analyses nominate numerous eosinophilic esophagitis risk genes.The Journal of allergy and clinical immunology · 2021Pooled it
- Replication of a GWAS signal nearBlood neoplasia · 2025Article
- Genome-wide analysis of spina bifida risk variants in a case-control study from Bangladesh.Birth defects research · 2024Article
- Epigenome-wide association study identifies neonatal DNA methylation associated with two-year attention problems in children born very preterm.Translational psychiatry · 2024Article
- Genetic association study of Preterm birth and Gestational age in a population-based case-control study in Peru: Genetics of PTB and GA in pregnant women in Peru.medRxiv : the preprint server for health sciences · 2023Article
- Genetic architecture of the acute and persistent immune cell response after radiation exposure.Cell genomics · 2023Article
- Computational prognostic evaluation of Alzheimer's drugs from FDA-approved database through structural conformational dynamics and drug repositioning approaches.Scientific reports · 2023Article
- TowardsGenes · 2023Article
- Current Landscape of Genome-Wide Association Studies in Acute Myeloid Leukemia: A Review.Cancers · 2023Review
- A genome-wide association study identifies a possible role for cannabinoid signalling in the pathogenesis of diabetic kidney disease.Scientific reports · 2023Article
- Whole-Exome Sequencing in Family Trios Reveals De Novo Mutations Associated with Type 1 Diabetes Mellitus.Biology · 2023Article
- netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity.Frontiers in genetics · 2023Article
- Selecting Genetic Variants and Interactions Associated with Amyotrophic Lateral Sclerosis: A Group LASSO Approach.Journal of personalized medicine · 2022Article
- ACBD3 Bioinformatic Analysis and Protein Expression in Breast Cancer Cells.International journal of molecular sciences · 2022Article
- The pseudogenes of eukaryotic translation elongation factors (EEFs): Role in cancer and other human diseases.Genes & diseases · 2022Review
- Article
- How (Epi)Genetic Regulation of the LIM-Domain Protein FHL2 Impacts Multifactorial Disease.Cells · 2021Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute myeloid leukemia (AML) is a cancer of the myeloid line of blood cells, and generally considered to be caused by environment and genetic factors. In this study, we combined a genome-wide haplotype association study (GWHAS) and gene prioritization strategy to mine AML-related genetic affect factors and understand its pathogenesis. A total of 175 AML patients were downloaded from the public GEO database (GSE32462) and 218 matched Caucasian controls were from the HapMap Project. We first identified the linkage disequilibrium (LD) blocks and performed a GWHAS to scan AML-related haplotypes. Then we mapped these haplotypes to the corresponding genes as candidate. And finally, we prioritized all the AML candidate genes based on the similarity with 38 known AML susceptibility genes. The results showed that 1754 haplotypes were significant associated with AML (P<1E-5) and mapped to 591 candidate genes. After prioritizing all 591 AML candidate genes, we obtained four genes ranking at the front as AML risk genes: RUNX1, JAK1, PDGFRA, and FGFR2. Among them, RUNX1, JAK1 and PDGFRA had been confirmed as AML risk genes. In particular, we found that the gene FGFR2 was a novel AML susceptibility gene with a haplotype TT (rs7090018 and rs2912759) showed significant association with AML (P-value = 7.07E-06). In a word, our findings might provide a new perspective to understand the pathogenesis of AML.
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