ArticleGenomics2008
Genomics and genome-wide association studies: an integrative approach to expression QTL mapping.
Article in Genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed.
- SCeQTL: an R package for identifying eQTL from single-cell parallel sequencing data.BMC bioinformatics · 2020Article
- Mapping eQTLs in the Norfolk Island genetic isolate identifies candidate genes for CVD risk traits.American journal of human genetics · 2013Article
- Convergent functional genomics of schizophrenia: from comprehensive understanding to genetic risk prediction.Molecular psychiatry · 2012Article
- Matrix eQTL: ultra fast eQTL analysis via large matrix operations.Bioinformatics (Oxford, England) · 2012Article
- Genetics of stroke.Acta pharmacologica Sinica · 2010Review
- Modeling expression quantitative trait loci in data combining ethnic populations.BMC bioinformatics · 2010Article
- Knowledge-based data analysis comes of age.Briefings in bioinformatics · 2010Article
- A systems-based framework for understanding complex metabolic and cardiovascular disorders.Journal of lipid research · 2009Review
- Systems medicine: the future of medical genomics and healthcare.Genome medicine · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Expression QTL mapping by integrating genome-wide gene expression and genotype data is a promising approach to identifying functional genetic variation, but is hampered by the large number of multiple comparisons inherent in such studies. A novel approach to addressing multiple testing problems in genome-wide family-based association studies is screening candidate markers using heritability or conditional power. We apply these methods in settings in which microarray gene expression data are used as phenotypes, screening for SNPs near the expressed genes. We perform association analyses for phenotypes using a univariate approach. We also perform simulations on trios with large numbers of causal SNPs to determine the optimal number of markers to use in a screen. We demonstrate that our family-based screening approach performs well in the analysis of integrative genomic datasets and that screening using either heritability or conditional power produces similar, though not identical, results.
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What 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.