Evidence map›Paper›PMID 15272419›Full record

ArticleAmerican journal of human genetics2004

The future of association studies: gene-based analysis and replication.

Benjamin M Neale, Pak C Sham

Abstract read
In one paragraph

Article in American journal of human genetics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 268 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
268citing papers in PubMed, 15 pooled it
–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

268 citing papers in PubMed, 15 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Genome-wide association study of shared liability to anxiety disorders in Army STARRS.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2020
    Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. No association of genetic variants in BDNF with major depression: a meta- and gene-based analysis.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2013
    Pooled it
  13. Pooled it
  14. Pooled it
  15. Pooled it
  16. Trial
  17. Trial
  18. Genetic and clinical predictors of sexual dysfunction in citalopram-treated depressed patients.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2009
    Trial
  19. Article
  20. Article

208 more citing papers are in PubMed but not listed here.

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.

Benjamin M NealeSocial, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, United Kingdom.
Pak C Sham

Funding

VARIANCE COMPONENTS MODELS FOR MAPPING QTLSR01EY012562 · NEI · UNIVERSITY OF COLORADO AT BOULDER · PI HEWITT, JOHN K · 1999 to 2006
$2.1M
NEI NIH HHS EY-12562NEI NIH HHS R01 EY012562
6 · The paper itself

Abstract

Historically, association tests were limited to single variants, so that the allele was considered the basic unit for association testing. As marker density increases and indirect approaches are used to assess association through linkage disequilibrium, association is now frequently considered at the haplotypic level. We suggest that there are difficulties in replicating association findings at the single-nucleotide-polymorphism (SNP) or the haplotype level, and we propose a shift toward a gene-based approach in which all common variation within a candidate gene is considered jointly. Inconsistencies arising from population differences are more readily resolved by use of a gene-based approach rather than either a SNP-based or a haplotype-based approach. A gene-based approach captures all of the potential risk-conferring variations; thus, negative findings are subject only to the issue of power. In addition, chance findings due to multiple testing can be readily accounted for by use of a genewide-significance level. Meta-analysis procedures can be formalized for gene-based methods through the combination of P values. It is only a matter of time before all variation within genes is mapped, at which point the gene-based approach will become the natural end point for association analysis and will inform our search for functional variants relevant to disease etiology.

Indexed as

Models, GeneticAllelesGene FrequencyGenetic Predisposition to DiseaseGenetic VariationHaplotypesHumansLinkage DisequilibriumMass ScreeningMeta-Analysis as TopicPolymorphism, Single NucleotideStatistics as Topic

Identifiers

PMID15272419
PMCPMC1182015

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.