Evidence map›Paper›PMID 20029952›Full record

ArticleAmerican journal of hematology2010

Genetic modifiers of the severity of sickle cell anemia identified through a genome-wide association study.

Paola Sebastiani, Nadia Solovieff, Stephen W Hartley, Jacqueline N Milton, Alberto Riva, Daniel A Dworkis, Efthymia Melista, Elizabeth S Klings, Melanie E Garrett, Marilyn J Telen and 3 more

Open access · greenAbstract read
In one paragraph

Article in American journal of hematology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 8% 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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 101 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Fetal hemoglobin modulates neurocognitive performance in sickle cell anemiaCurrent research in translational medicine · 2022
    Article
  10. Review
  11. Review
  12. Article
  13. The Genetic and Clinical Significance of Fetal Hemoglobin Expression in Sickle Cell Disease.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2021
    Review
  14. Article
  15. Article
  16. Article
  17. Biomarker signatures of sickle cell disease severity.Blood cells, molecules & diseases · 2018
    Article
  18. Blood advances · 2018
    Article
  19. Article
  20. 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

13 authors at 4 institutions in 1 country.

Paola SebastianiDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA. sebas@bu.edu
Nadia Solovieff
Stephen W Hartley
Jacqueline N Milton
Alberto Riva
Daniel A Dworkis
Efthymia Melista
Elizabeth S Klings
Melanie E Garrett
Marilyn J Telen
Allison Ashley-Koch
Clinton T Baldwin
Martin H Steinberg
Boston University · USDuke University · USCenter for Human Genetics · USUniversity of Florida · US

Funding

Genetic Modulation of Sickle Cell DiseaseR01HL068970 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI STEINBERG, MARTIN H. · 2001 to 2010
$7.0M
Genome-Wide Association Studies in Sickle Cell Anemia and in CentenariansR01HL087681 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI STEINBERG, MARTIN H. · 2007 to 2010
$6.0M
NHLBI NIH HHS R01 HL 068970NHLBI NIH HHS R01 HL068970NHLBI NIH HHS R01 HL087681NHLBI NIH HHS R01 HL87681
6 · The paper itself

Abstract

We conducted a genome-wide association study (GWAS) to discover single nucleotide polymorphisms (SNPs) associated with the severity of sickle cell anemia in 1,265 patients with either "severe" or "mild" disease based on a network model of disease severity. We analyzed data using single SNP analysis and a novel SNP set enrichment analysis (SSEA) developed to discover clusters of associated SNPs. Single SNP analysis discovered 40 SNPs that were strongly associated with sickle cell severity (odds for association >1,000); of the 32 that we could analyze in an independent set of 163 patients, five replicated, eight showed consistent effects although failed to reach statistical significance, whereas 19 did not show any convincing association. Among the replicated associations are SNPs in KCNK6 a K(+) channel gene. SSEA identified 27 genes with a strong enrichment of significant SNPs (P < 10(-6)); 20 were replicated with varying degrees of confidence. Among the novel findings identified by SSEA is the telomere length regulator gene TNKS. These studies are the first to use GWAS to understand the genetic diversity that accounts the phenotypic heterogeneity sickle cell anemia as estimated by an integrated model of severity. Additional validation, resequencing, and functional studies to understand the biology and reveal mechanisms by which candidate genes might have their effects are the future goals of this work.

Indexed as

PhenotypePolymorphism, Single NucleotideAdolescentAdultAnemia, Sickle CellChildComplement C8Computational BiologyGenome-Wide Association StudyHumansMAP Kinase Kinase KinasesMiddle AgedPotassium Channels, Tandem Pore DomainSeverity of Illness IndexTankyrasesYoung AdultComplement C8KCNK6 protein, humanMAP3K13 protein, humanMAP Kinase Kinase KinasesPotassium Channels, Tandem Pore DomainTankyrasesTNKS protein, human

Identifiers

PMID20029952
PMCPMC2903007
OpenAlexW1990198259

What OpenQuestion holds

Textmetadata
LicenceTDM
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.