Evidence map›Paper›PMID 41977134›Full record

ReviewInternational journal of molecular sciences2026

Decoding Complex Traits in Goats Through Genome-Wide Association Studies: Progress, Challenges, and Perspectives.

Da Feng, Chen Wei, Si-Yi Hu, Shang-Quan Gan

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2026. 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. Review
  2. Article
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

4 authors.

Da FengCollege of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang 524088, China.ORCID 0009-0002-5853-4585
Chen WeiCollege of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang 524088, China.ORCID 0000-0001-5776-0500
Si-Yi HuCollege of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang 524088, China.
Shang-Quan GanCollege of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang 524088, China.ORCID 0000-0003-2880-7677

Funding

Shangquan Gan 2024KCXTD040
6 · The paper itself

Abstract

Goats play a significant role in the global livestock industry, with breeders aiming to investigate genetic variations linked to crucial economic traits for enhancing production performance. Genome-wide association studies (GWASs) are a highly effective method for identifying the associations between complex traits or diseases and genetic variations in goat at the whole-genome level. By analyzing large datasets of goat genomes, GWASs can offer valuable insights into the identification of genetic variations related to key economic traits in goats and aid in the discovery of new genetic variants. These discoveries hold the promise of improving the efficiency of goat production by molecular breeding strategies. This study reviews the fundamental theories and developmental processes of GWAS, focusing on its role in identifying potential genetic loci or genes associated with major economic traits in goats. Additionally, it delves into the challenges involved in unraveling the genetic architecture of complex traits in goats through GWAS and investigates future opportunities for progress to advance the goat molecular breeding.

Indexed as

Genome-Wide Association StudyGoatsQuantitative Trait, HeritableQuantitative Trait LociAnimalsBreedingGenetic VariationPhenotypePolymorphism, Single Nucleotidecandidate geneseconomic traitsgenetic variationgenome-wide association studygoat

Identifiers

PMID41977134
PMCPMC13073918

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.