Evidence map›Paper›PMID 18392109›Full record

ArticleBioinformatics and biology insights2008

The HapMap Resource is Providing New Insights into Ourselves and its Application to Pharmacogenomics.

Wei Zhang, Mark J Ratain, M Eileen Dolan

Open access · goldAbstract read
In one paragraph

Article in Bioinformatics and biology insights, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
7.1field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Integrating microRNAs into a system biology approach to acute lung injury.Translational research : the journal of laboratory and clinical medicine · 2011
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. SCAN: SNP and copy number annotation.Bioinformatics (Oxford, England) · 2010
    Article
  12. Review
  13. Article
  14. Article
  15. The case for personalized medicine.Journal of diabetes science and technology · 2009
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

3 authors at 1 institution in 2 countries.

Wei ZhangSection of Hematology/Oncology, Department of Medicine.
Mark J Ratain
M Eileen Dolan
University of Chicago · US

Funding

Whole GenomeU01GM061393 · NIGMS · UNIVERSITY OF CHICAGO · PI COX, NANCY J, DOLAN, MARY EILEEN · 2000 to 2014
$39.0M
NIGMS NIH HHS U01 GM061393
6 · The paper itself

Abstract

The exploration of quantitative variation in complex traits such as gene expression and drug response in human populations has become one of the major priorities for medical genetics. The International HapMap Project provides a key resource of genotypic data on human lymphoblastoid cell lines derived from four major world populations of European, African, Chinese and Japanese ancestry for researchers to associate with various phenotypic data to find genes affecting health, disease and response to drugs. Recent progress in dissecting genetic contribution to natural variation in gene expression within and among human populations and variation in drug response are two examples in which researchers have utilized the HapMap resource. The HapMap Project provides new insights into the human genome and has applicability to pharmacogenomics studies leading to personalized medicine.

Indexed as

gene expressiongenotypeHapMaplymphoblastoid cell linespopulation genetics

Identifiers

PMID18392109
PMCPMC2288550
OpenAlexW2147505003

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.