ArticleAmerican journal of human genetics2003
PowerTrim: An automated decision support algorithm for preprocessing family-based genetic data.
Article in American journal of human genetics, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed.
- Linkage analysis of multiplex Caribbean Hispanic families loaded for unexplained early-onset cases identifies novel Alzheimer's disease loci.Alzheimer's & dementia (Amsterdam, Netherlands) · 2018Article
- Genome-wide linkage analyses of non-Hispanic white families identify novel loci for familial late-onset Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2016Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Statistical genetics software packages for linkage analysis have their own unique constraints on the size and shape of the pedigrees they can process. As a result, researchers are often forced to exclude from analysis some individuals in a given family. Existing procedures for reducing pedigree size to fit computational constraints use arbitrary rules and are not interactive. However, judicious evaluation of which subject(s) to remove to minimize loss of information involves consideration of many factors, including informativeness owing to position in pedigree, availability of genotypic information, and quality of phenotypic information. Thus, automation of this task would be of significant benefit. We designed an interactive algorithm (PowerTrim) that provides the user access to detailed information with which to make informed decisions. In addition, PowerTrim checks for transcriptional and data-entry errors, which can be very time-consuming to localize manually.
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Registered trials
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