Evidence map›Paper›PMID 31738830›Full record

SynthesisBlood advances2019

Non-del(5q) myelodysplastic syndromes-associated loci detected by SNP-array genome-wide association meta-analysis.

Kathy L McGraw, Chia-Ho Cheng, Y Ann Chen, Hsin-An Hou, Björn Nilsson, Giulio Genovese, Thomas Cluzeau, Andrea Pellagatti, Bartlomiej P Przychodzen, Mar Mallo and 17 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Blood advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 31% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Link between mutations inWorld journal of gastrointestinal surgery · 2024
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  8. Review
  9. Genetic Determinants of Lung Cancer Prognosis in Never Smokers: A Pooled Analysis in the International Lung Cancer Consortium.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors at 12 institutions in 6 countries.

Kathy L McGrawDepartment of Malignant Hematology and.
Chia-Ho ChengDepartment of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL.
Y Ann ChenDepartment of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL.
Hsin-An HouDepartment of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Björn NilssonDepartment of Laboratory Medicine, Section of Hematology and Transfusion Medicine, Lund University, Lund, Sweden.
Giulio GenoveseStanley Center for Psychiatric Research and.
Thomas CluzeauCote d'Azur University, Centre Hospitalier Universitaire of Nice, Nice, France.
Andrea PellagattiBloodwise Molecular Haematology Unit, Nuffield Division of Clinical Laboratory Sciences, Radcliffe Department of Medicine, University of Oxford and Oxford Biomedical Research Centre Haematology Theme, Oxford, United Kingdom.
Bartlomiej P PrzychodzenCleveland Clinic, Taussig Cancer Institute, Cleveland, OH.
Mar MalloInstitut de Recerca Contra la Leucèmia Josep Carreras, Institut Catala d'Oncologia-Hospital GermansTrias i Pujol, Universitat Autonòma de Barcelona, Badalona, Barcelona, Spain.
Leonor ArenillasLaboratori de Citologia Hematòlogica, Servei de Patologia, Hospital del Mar, Barcelona, Spain.
Azim MohamedaliDepartment of Haematological Medicine, Kings College London, London, United Kingdom.
Lionel AdèsSenior Hematology Department, Hopital Saint Louis, Paris, France.
David A SallmanDepartment of Malignant Hematology and.
Eric PadronDepartment of Malignant Hematology and.
Lubomir SokolDepartment of Malignant Hematology and.
Chimene MoreilhonCote d'Azur University, Centre Hospitalier Universitaire of Nice, Nice, France.
Sophie RaynaudCote d'Azur University, Centre Hospitalier Universitaire of Nice, Nice, France.
Hwei-Fang TienDepartment of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Jacqueline BoultwoodBloodwise Molecular Haematology Unit, Nuffield Division of Clinical Laboratory Sciences, Radcliffe Department of Medicine, University of Oxford and Oxford Biomedical Research Centre Haematology Theme, Oxford, United Kingdom.
Benjamin L EbertDepartments of Medicine and Medical Oncology, Harvard Medical School and Brigham and Women's Hospital, Boston, MA; and.
Francesc SoleInstitut de Recerca Contra la Leucèmia Josep Carreras, Institut Catala d'Oncologia-Hospital GermansTrias i Pujol, Universitat Autonòma de Barcelona, Badalona, Barcelona, Spain.
Pierre FenauxSenior Hematology Department, Hopital Saint Louis, Paris, France.
Ghulam J MuftiDepartment of Haematological Medicine, Kings College London, London, United Kingdom.
Jaroslaw P MaciejewskiCleveland Clinic, Taussig Cancer Institute, Cleveland, OH.
Peter A KanetskyDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL.
Alan F ListDepartment of Malignant Hematology and.
Centre Hospitalier Universitaire de Nice · FRMoffitt Cancer Center · USCleveland Clinic · USHôpital Saint-Louis · FRKing's College London · GBNational Taiwan University Hospital · TWUniversitat Autònoma de Barcelona · ESUniversity of Oxford · GBBrigham and Women's Hospital · USBroad Institute · USHospital Del Mar · ESLund University · SE

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI Christine O'Connell · 1998 to 2026
$93.5M
NCI NIH HHS P30 CA076292
6 · The paper itself

Abstract

Myelodysplastic syndromes (MDS) are hematopoietic stem cell malignancies. Known predisposing factors to adult MDS include rare germline mutations, cytotoxic therapy, age-related clonal hematopoiesis, and autoimmune or chronic inflammatory disorders. To date, no published studies characterizing MDS-associated germline susceptibility polymorphisms exist. We performed a genome-wide association study of 2 sample sets (555 MDS cases vs 2964 control subjects; 352 MDS cases vs 2640 control subjects) in non-del(5q) MDS cases of European genomic ancestry. Meta-analysis identified 8 MDS-associated loci at 1q31.1 (PLA2G4A), 3p14.1 (FAM19A4), 5q21.3 (EFNA5), 6p21.33, 10q23.1 (GRID1), 12q24.32, 15q26.1, and 20q13.12 (EYA2) that approached genome-wide significance. Gene expression for 5 loci that mapped within or near genes was significantly upregulated in MDS bone marrow cells compared with those of control subjects (P < .01). Higher PLA2G4A expression and lower EYA2 expression were associated with poorer overall survival (P = .039 and P = .037, respectively). Higher PLA2G4A expression is associated with mutations in NRAS (P < .001), RUNX1 (P = .012), ASXL1 (P = .007), and EZH2 (P = .038), all of which are known to contribute to MDS development. EYA2 expression was an independently favorable risk factor irrespective of age, sex, and Revised International Scoring System score (relative risk, 0.67; P = .048). Notably, these genes have regulatory roles in innate immunity, a critical driver of MDS pathogenesis. EYA2 overexpression induced innate immune activation, whereas EYA2 inhibition restored colony-forming potential in primary MDS cells indicative of hematopoietic restoration and possible clinical relevance. In conclusion, among 8 suggestive MDS-associated loci, 5 map to genes upregulated in MDS with functional roles in innate immunity and potential biological relevance to MDS.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyPolymorphism, Single NucleotideQuantitative Trait LociChromosome DeletionChromosomes, Human, Pair 5Gene Expression RegulationGenomicsHumansMyelodysplastic Syndromes

Identifiers

PMID31738830
PMCPMC6880887
OpenAlexW2982722051

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.