ArticlebioRxiv : the preprint server for biology2026
Inferring the genetic basis of sleep states in
Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
No grant is acknowledged in the PubMed record.
Abstract
Multiple lines of evidence suggest that sleep in flies is not a unitary state but has lighter and deeper stages similar to mammals. A hidden Markov model applied to activity count data revealed lighter and deeper sleep states in a wild-derived population of flies. Fitting the data to a range of possible sleep states enabled us to determine the optimal number of sleep states for each fly. Four sleep and waking states were optimal across the population. We verified physiological differences among states experimentally using an arousal threshold paradigm. We then calculated the time spent in each sleep state for each fly. The time spent in each sleep state was heritable and therefore mappable to the genome. We mapped these parameters to the genome, identifying state-specific genes. Additionally, we provide software,
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.