Evidence map›Paper›PMID 41675998›Full record

ArticleBio-protocol2026

Identifying Causal Genes and Building Regulatory Networks in Crops Using the CisTrans-ECAS Method.

Yutong Yan, Luchang Ming, Weibo Xie

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bio-protocol, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yutong YanNational Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, College of Informatics, Huazhong Agricultural University, Wuhan, China.
Luchang MingNational Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, College of Informatics, Huazhong Agricultural University, Wuhan, China.
Weibo XieNational Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, College of Informatics, Huazhong Agricultural University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pinpointing causal genes for complex traits from genome-wide association studies (GWAS) remains a central challenge in crop genetics, particularly in species with extensive linkage disequilibrium (LD) such as rice. Here, we present CisTrans-ECAS, a computational protocol that overcomes this limitation by integrating population genomics and transcriptomics. The method's core principle is the decomposition of gene expression into two distinct components: a

Indexed as

Cis- and trans-expression componentsCrop geneticsGene regulatory networkKeywords: Causal gene identificationRiceTranscriptome-wide association study (TWAS)

Identifiers

PMID41675998
PMCPMC12887868

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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.