ArticleBioinformatics (Oxford, England)2019
Pair Matcher (PaM): fast model-based optimization of treatment/case-control matches.
Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Population genetic considerations for using biobanks as international resources in the pandemic era and beyond.BMC genomics · 2021Pooled it
- AncestryGeni: a novel genetic ancestry classification pipeline for small and noisy sequence data.Bioinformatics (Oxford, England) · 2025Article
- Principal Component Analyses (PCA)-based findings in population genetic studies are highly biased and must be reevaluated.Scientific reports · 2022Article
- Temporal population structure, a genetic dating method for ancient Eurasian genomes from the past 10,000 years.Cell reports methods · 2022Article
- Systems biology analysis of human genomes points to key pathways conferring spina bifida risk.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Unraveling the complex genetics of neural tube defects: From biological models to human genomics and back.Genesis (New York, N.Y. : 2000) · 2021Review
- Ancient Ancestry Informative Markers for Identifying Fine-Scale Ancient Population Structure in Eurasians.Genes · 2018Article
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.
Funding
Abstract
motivationIn clinical trials, individuals are matched using demographic criteria, paired and then randomly assigned to treatment and control groups to determine a drug's efficacy. A chief cause for the irreproducibility of results across pilot to Phase-III trials is population stratification bias caused by the uneven distribution of ancestries in the treatment and control groups.
resultsPair Matcher (PaM) addresses stratification bias by optimizing pairing assignments a priori and/or a posteriori to the trial using both genetic and demographic criteria. Using simulated and real datasets, we show that PaM identifies ideal and near-ideal pairs that are more genetically homogeneous than those identified based on competing methods, including the commonly used principal component analysis (PCA). Homogenizing the treatment (or case) and control groups can be expected to improve the accuracy and reproducibility of the trial or genetic study. PaM's ancestral inferences also allow characterizing responders and developing a precision medicine approach to treatment. AVAILABILITY AND IMPLEMENTATION: PaM is freely available via Rhttps://github.com/eelhaik/PAM and a web-interface at http://elhaik-matcher.sheffield.ac.uk/ElhaikLab/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Indexed as
Identifiers
What Socratic 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 Socratic graph.