Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Genetic associations in large versus small studies: an empirical assessment.

Lancet (London, England) - 15 Feb 2003

Ioannidis John P A, Trikalinos Thomas A, Ntzani Evangelia E, Contopoulos-Ioannidis Despina G

Abstract excerpt

BACKGROUND: Advances in human genetics could help us to assess prognosis on an individual basis and to optimise the management of complex diseases. However, different studies on the same genetic association sometimes have discrepant results. Our aim was to assess how often large studies arrive at...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Alleles
Share to Clinical Trials as Topic
Share to Genetic Markers

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Polymorphism, Genetic

Share to Sample Size

Source

Identifiers

PMID: 12598142
DOI: 10.1016/S0140-6736(03)12516-0

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-12598142-2026-09-02.2. Manifest publication-graph-cohort-2026-09-02.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genetic associations in large versus small studies: an empirical assessment.PMID 12598142Read ↗

Implications of small effect sizes of individual genetic variants on the design and interpretation of genetic association studies of complex diseases.Semantic proximity Read ↗

Meta-analysis of genetic association studies supports a contribution of common variants to susceptibility to common disease.Semantic proximity Read ↗

On the synthesis and interpretation of consistent but weak gene-disease associations in the era of genome-wide association studiesSemantic proximity Read ↗

Reporting of human genome epidemiology (HuGE) association studies: an empirical assessment.Semantic proximity Read ↗

Human genetics: the hidden text of genome-wide associations.Semantic proximity Read ↗

Genetic associations: false or true?Semantic proximity Read ↗

Clarifying the causes of consistent and inconsistent findings in genetics.Semantic proximity Read ↗

Required sample size and nonreplicability thresholds for heterogeneous genetic associations.Semantic proximity Read ↗

Genetic association studies of complex traits: design and analysis issues.Semantic proximity Read ↗

The Quality of Meta-Analyses of Genetic Association Studies: A Review With RecommendationsSemantic proximity Read ↗

On individual genome-wide association studies and their meta-analysis.Semantic proximity Read ↗

P-values in genomics: apparent precision masks high uncertainty.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.