Evidence map›Paper›PMID 19571035›Full record

ReviewBriefings in functional genomics & proteomics2009

Finding common susceptibility variants for complex disease: past, present and future.

Kalliope Panoutsopoulou, Eleftheria Zeggini

Abstract readReview
In one paragraph

Review in Briefings in functional genomics & proteomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Pathway-based analysis tools for complex diseases: a review.Genomics, proteomics & bioinformatics · 2014
    Review
  2. Article
  3. Article
  4. Advancing the biobehavioral research of fatigue with genetics and genomics.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2011
    Article
  5. Article
  6. Article
  7. 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

2 authors.

Kalliope PanoutsopoulouWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
Eleftheria Zeggini

Funding

Wellcome Trust WT088885/Z/09/Z
6 · The paper itself

Abstract

The identification of complex disease susceptibility loci has been accelerated considerably by advances in high-throughput genotyping technologies, improved insight into correlation patterns of common variants and the availability of large-scale sample sets. Linkage scans and small-scale candidate gene studies have now given way to genome-wide association scans. In this review, we summarize insights gained from the past, highlight practical issues relating to the design and analysis of current state-of-the-art GWA studies and look into future trends in the field of human complex trait genetics.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyGenotypeHumans

Identifiers

PMID19571035
PMCPMC2758134

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.