Evidence map›Paper›PMID 40381956›Full record

ArticleTheoretical population biology2025

Mathematical bounds on r

Sanjana M Paye, Michael D Edge

Abstract read
In one paragraph

Article in Theoretical population biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Estimating uncertainty in family-based GWAS.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Sanjana M PayeDepartment of Quantitative and Computational Biology, University of Southern California, United States of America; University of Michigan Medical Scientist Training Program, United States of America.
Michael D EdgeDepartment of Quantitative and Computational Biology, University of Southern California, United States of America. Electronic address: edgem@usc.edu.

Funding

Traits on trees: Population genomics for understanding complex phenotypesR35GM137758 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Michael Donald Edge · 2020 to 2026
$2.5M
NIGMS NIH HHS R35 GM137758
6 · The paper itself

Abstract

Case-control genome-wide association studies (GWAS) are often used to find associations between genetic variants and diseases. When case-control GWAS are conducted, researchers must make decisions regarding how many cases and how many controls to include in the study. Connections between variants and diseases are made using association statistics, including χ

Indexed as

Genome-Wide Association StudyModels, GeneticCase-Control StudiesComputer SimulationGene FrequencyGenetic Predisposition to DiseaseGenetics, PopulationHumansLinkage DisequilibriumCase control studiesGenome-wide association studiesLinkage disequilibriumMathematical boundsPopulation genetics

Identifiers

PMID40381956
PMCPMC12259364

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.