ArticleHuman population genetics and genomics2026
Article in Human population genetics and genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- 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
3 authors.
Funding
Abstract
We previously introduced Clumppling to address the "alignment problem" for multiple mixed-membership unsupervised clustering results in population structure analyses, where clusters represent latent genetic ancestries. This problem stems from three challenges-label-switching, multi-modality, and varying numbers of clusters-which Clumppling resolves in three steps: aligning results with the same number of clusters, detecting distinct solutions or "modes," and aligning modes across different numbers of clusters. Here, we present Clumppling 2.0, an update with features for visualizing the emergence of clusters, comparing aligned results from different models, and incorporating modularity of algorithmic steps. We outline the Clumppling 2.0 workflow, highlighting its improved algorithmic flexibility and visual interpretability through a graph of alignment patterns. We then demonstrate its utility on human genetic datasets that include individuals from admixed populations.
Indexed as
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.