ArticleCurrent bioinformatics2008
Beyond the HapMap Genotypic Data: Prospects of Deep Resequencing Projects.
Article in Current bioinformatics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 15 citations in OpenAlex.
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- Pharmacomicrobiomics: the impact of human microbiome variations on systems pharmacology and personalized therapeutics.Omics : a journal of integrative biology · 2014Review
- Marketed marine natural products in the pharmaceutical and cosmeceutical industries: tips for success.Marine drugs · 2014Review
- SEED servers: high-performance access to the SEED genomes, annotations, and metabolic models.PloS one · 2012Article
- Comprehensive survey of SNPs in the Affymetrix exon array using the 1000 Genomes dataset.PloS one · 2010Article
- SCAN: SNP and copy number annotation.Bioinformatics (Oxford, England) · 2010Article
- A pharmacogene database enhanced by the 1000 Genomes Project.Pharmacogenetics and genomics · 2009Article
- A survey of the population genetic variation in the human kinome.Journal of human genetics · 2009Article
- Identification of common genetic variants that account for transcript isoform variation between human populations.Human genetics · 2009Article
- Use of cell lines in the investigation of pharmacogenetic loci.Current pharmaceutical design · 2009Review
- Exploring the evolutionary history of the differentially expressed genes between human populations: action of recent positive selection.Evolutionary bioinformatics online · 2008Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The International HapMap Project provides a key resource of genotypic data on human samples including lymphoblastoid cell lines derived from individuals of four major world populations of African, European, Japanese and Chinese ancestry. Researchers have utilized this resource to identify genetic elements that correlate with various phenotypes such as risks of common diseases, individual drug response and gene expression variation. However, recent comparative studies have suggested that the currently available HapMap genotypic data may not capture a substantial proportion of rare or untyped SNPs in these populations, implying that the HapMap SNPs may not be sufficient for comprehensive association studies. In this paper, three large-scale deep resequencing projects covering the HapMap samples: ENCODE (Encyclopedia of DNA Elements), SeattleSNPs and NIEHS (National Institute of Environmental Health Sciences) Environmental Genome Project are discussed. Prospectively, once integrated with the HapMap resource, these efforts will greatly benefit the next wave of association studies and data mining using these cell lines.
Identifiers
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.