ArticlePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing2013
A correlated meta-analysis strategy for data mining "OMIC" scans.
Article in Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.
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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.
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Who cites it
27 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Pooled it
- Pooled it
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- Integrating genetic and transcriptomic data to identify genes underlying obesity risk loci.International journal of obesity (2005) · 2025Article
- Gene-Embedded Multi-Modal Networks for Population-Scale Multi-Omics Discovery.bioRxiv : the preprint server for biology · 2025Article
- A methodology for gene level omics-WAS integration identifies genes influencing traits associated with cardiovascular risks: the Long Life Family Study.Human genetics · 2024Article
- The goldmine of GWAS summary statistics: a systematic review of methods and tools.BioData mining · 2024Article
- Multi-omics Integration Identifies Genes Influencing Traits Associated with Cardiovascular Risks: The Long Life Family Study.medRxiv : the preprint server for health sciences · 2024Article
- Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regions.Journal of the National Cancer Institute · 2023Article
- Genetic pleiotropy between pulmonary function and age-related traits: The Long Life Family Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022Article
- A flexible summary statistics-based colocalization method with application to the mucin cystic fibrosis lung disease modifier locus.American journal of human genetics · 2022Article
- Multitrait GWAS to connect disease variants and biological mechanisms.PLoS genetics · 2021Article
- Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals.HGG advances · 2021Article
- A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traits.Nature communications · 2021Article
- Mixed-model admixture mapping identifies smoking-dependent loci of lung function in African Americans.European journal of human genetics : EJHG · 2020Article
- Power calculation for the general two-sample Mendelian randomization analysis.Genetic epidemiology · 2020Article
- JASS: command line and web interface for the joint analysis of GWAS results.NAR genomics and bioinformatics · 2020Article
- Integrative Omics Approach to Identifying Genes Associated With Atrial Fibrillation.Circulation research · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Meta-analysis is becoming an increasingly popular and powerful tool to integrate findings across studies and OMIC dimensions. But there is the danger that hidden dependencies between putatively "independent" studies can cause inflation of type I error, due to reinforcement of the evidence from false-positive findings. We present here a simple method for conducting meta-analyses that automatically estimates the degree of any such non-independence between OMIC scans and corrects the inference for it, retaining the proper type I error structure. The method does not require the original data from the source studies, but operates only on summary analysis results from these in OMIC scans. The method is applicable in a wide variety of situations including combining GWAS and or sequencing scan results across studies with dependencies due to overlapping subjects, as well as to scans of correlated traits, in a meta-analysis scan for pleiotropic genetic effects. The method correctly detects which scans are actually independent in which case it yields the traditional meta-analysis, so it may safely be used in all cases, when there is even a suspicion of correlation amongst scans.
Indexed as
Identifiers
23424128PMC3773990What OpenQuestion holds
Registered trials
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.