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

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

American journal of epidemiology - 1 Oct 2006

Ioannidis John P A, Trikalinos Thomas A, Khoury Muin J

Abstract excerpt

Accumulated evidence from searching for candidate gene-disease associations of complex diseases can offer some insights as the field moves toward discovery-oriented approaches with massive genome-wide testing. Meta-analyses of 50 non-human lymphocyte antigen gene-disease associations with documented overall statistical significance (752 studies) show summary odds ratios with a median of 1.43 (interquartile range,...

Read the complete abstract on PubMed

Topics

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

Share to Alleles
Share to Data Interpretation, Statistical

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Variation

Share to Genetics, Population

Share to Genome, Human

Share to Linkage Disequilibrium

Share to Research Design

Share to Risk Factors

Source

Identifiers

PMID: 16893921
DOI: 10.1093/aje/kwj259

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Implications of small effect sizes of individual genetic variants on the design and interpretation of genetic association studies of complex diseases.PMID 16893921Read ↗

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

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

How many genes underlie the occurrence of common complex diseases in the population?Semantic proximity Read ↗

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

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

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

Epidemiologic considerations in complex disease genetics.Semantic proximity Read ↗

Size matters: just how big is BIG?: Quantifying realistic sample size requirements for human genome epidemiology.Semantic proximity Read ↗

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

From single-SNP to wide-locus: genome-wide association studies identifying functionally related genes and intragenic regions in small sample studies.Semantic proximity Read ↗

Evaluating disorders with a complex genetics basis. the future roles of meta-analysis and systems biology.Semantic proximity Read ↗

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