Evidence map›Paper›PMID 40593639›Full record

ArticleNature communications2025

Mapping the regulatory genetic landscape of complex traits using a chicken advanced intercross line.

Xiaoning Zhu, Chong Li, Chenglong Luo, Zhonghao Bai, Dingming Shu, Peng Chen, Jiangli Ren, Ran Song, Lingzhao Fang, Hao Qu and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

12 authors.

Xiaoning Zhu *State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, China.ORCID http://orcid.org/0000-0001-5743-879X
Chong Li *State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, China.
Chenglong LuoGuangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, China.
Zhonghao BaiCenter for Quantitative Genetics and Genomics (QGG), Aarhus University, Aarhus, Denmark.
Dingming ShuState Key Laboratory of Swine and Poultry Breeding Industry, Guangzhou, China.
Peng ChenGuangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, China.
Jiangli RenState Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, China.
Ran SongState Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, China.
Lingzhao FangCenter for Quantitative Genetics and Genomics (QGG), Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0003-1103-3679
Hao QuState Key Laboratory of Swine and Poultry Breeding Industry, Guangzhou, China. qhw03@163.com.
Yuzhe WangState Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, China. yuzhe891@cau.edu.cn.ORCID http://orcid.org/0000-0003-3474-7957
Xiaoxiang HuState Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, China.ORCID http://orcid.org/0000-0001-7045-0283

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32272862
6 · The paper itself

Abstract

Complex traits exhibit a highly polygenic architecture that complicates gene mapping and molecular characterization. As a model organism for birds, chickens possess high-quality reference panels, functional annotations, and molecular quantitative trait locus maps. However, the genetic mechanisms underlying growth traits have not been systematically analyzed. Here, we develop a 16-generation advanced intercross line of chickens to enhance informative recombination and identify 154 single-gene quantitative trait loci. We use multiple co-localization methods to establish a network landscape of tissue-specific regulatory mutations and functional gene relationships. We leverage gene-clustering and restoration quantitative trait loci within the omnigenic model framework to elucidate the genetic regulation system of growth traits. Cross-species comparisons show the conserved functions of growth-related genes and divergent features of regulatory mechanisms in mammals and birds.

Indexed as

ChickensQuantitative Trait LociAnimalsBody WeightGenetics, PopulationGenetic VariationGenome-Wide Association StudyGenotypeHumans

Identifiers

PMID40593639
PMCPMC12217860

What OpenQuestion holds

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Registered trials

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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.