ArticleAmerican journal of human genetics2001
The significance of not finding a gene.
Article in American journal of human genetics, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 14 of them syntheses that pooled 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.
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.
Who cites it
24 citing papers in PubMed, 14 syntheses or guidelines pooled it.
- Pleiotropic genes for metabolic syndrome and inflammation.Molecular genetics and metabolism · 2014Pooled it
- Linkage analysis incorporating gene-age interactions identifies seven novel lipid loci: the Family Blood Pressure Program.Atherosclerosis · 2014Pooled it
- Meta-analyses of genome-wide linkage scans of anxiety-related phenotypes.European journal of human genetics : EJHG · 2012Pooled it
- A subset-based approach improves power and interpretation for the combined analysis of genetic association studies of heterogeneous traits.American journal of human genetics · 2012Pooled it
- Pooled it
- Five blood pressure loci identified by an updated genome-wide linkage scan: meta-analysis of the Family Blood Pressure Program.American journal of hypertension · 2011Pooled it
- Meta analysis of whole-genome linkage scans with data uncertainty: an application to Parkinson's disease.BMC genetics · 2007Pooled it
- Genome-wide meta-analysis for rheumatoid arthritis.Human genetics · 2006Pooled it
- Evidence for a gene influencing heart rate on chromosome 5p13-14 in a meta-analysis of genome-wide scans from the NHLBI Family Blood Pressure Program.BMC medical genetics · 2006Pooled it
- Systemic lupus erythematosus susceptibility loci defined by genome scan meta-analysis.Human genetics · 2005Pooled it
- Meta-analysis in psychiatric genetics.Current psychiatry reports · 2005Pooled it
- Ankylosing spondylitis susceptibility loci defined by genome-search meta-analysis.Journal of human genetics · 2005Pooled it
- Meta-analysis of 13 genome scans reveals multiple cleft lip/palate genes with novel loci on 9q21 and 2q32-35.American journal of human genetics · 2004Pooled it
- Meta-analysis of whole-genome linkage scans of bipolar disorder and schizophrenia.Molecular psychiatry · 2002Pooled it
- Genome-wide association studies identified novel loci for non-high-density lipoprotein cholesterol and its postprandial lipemic response.Human genetics · 2014Article
- A correlated meta-analysis strategy for data mining "OMIC" scans.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2013Article
- Ion channels and schizophrenia: a gene set-based analytic approach to GWAS data for biological hypothesis testing.Human genetics · 2012Article
- Linkage analysis merging replicate phenotypes: an application to three quantitative phenotypes in two African samples.BMC proceedings · 2011Article
- Incorporating linkage information into a common disease/rare variant framework.Genetic epidemiology · 2011Article
- A simple method for combining genetic mapping data from multiple crosses and experimental designs.PloS one · 2007Article
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1 author.
Funding
Abstract
As more investigators conduct extensive whole-genome linkage scans for complex traits, interest is growing in meta-analysis as a way of integrating the weak or conflicting evidence from multiple studies. However, there is a bias in the most commonly used meta-analysis linkage technique (i.e., Fisher's [1925] method of combining of P values) when it is applied to many nonparametric (i.e., model free) linkage results. The bias arises in those methods (e.g., variance components, affected sib pair, extremely discordant sib pairs, etc.) that truncate all "negative evidence against linkage" into the single value of LOD = 0. If incorrectly handled, this bias can artificially inflate or deflate the combined meta-analysis linkage results for any given locus. This is an especially troublesome problem in the context of a genome scan, since LOD = 0 is expected to occur over half the unlinked genome. The bias can be overcome (nearly) completely by simply interpreting LOD = 0 as a P value of 1divided by 2ln(2) is approximately equal to .72 in Fisher's formula.
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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.