Evidence map›Paper›PMID 32851004›Full record

ArticleFrontiers in veterinary science2020

Two Novel Rare Strongly Linked Missense SNPs (P27R and A85G) Within the

Yi Bi, Jie Li, Xinyu Wang, Libang He, Kangshu Lan, Lei Qu, Xianyong Lan, Xiaoyue Song, Chuanying Pan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 17% of its field
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

5 citing papers in PubMed, 18 citations in OpenAlex.

  1. Functional and Genetic Insights into the Role of theAnimals : an open access journal from MDPI · 2025
    Article
  2. Article
  3. Potential Candidate Genes Associated with Litter Size in Goats: A Review.Animals : an open access journal from MDPI · 2025
    Review
  4. Article
  5. 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

9 authors at 2 institutions in 1 country.

Yi BiKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China.
Jie LiKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China.
Xinyu WangKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China.
Libang HeKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China.
Kangshu LanCollege of Veterinary Medicine, Northwest A&F University, Yangling, China.
Lei QuShaanxi Provincial Engineering and Technology Research Center of Cashmere Goats, Yulin University, Yulin, China.
Xianyong LanKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China.
Xiaoyue SongShaanxi Provincial Engineering and Technology Research Center of Cashmere Goats, Yulin University, Yulin, China.
Chuanying PanKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China.
Northwest A&F University · CNYulin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

associationgoatgrowth differentiation factor 9 (GDF9) genelinkage disequilibriumlitter size

Identifiers

PMID32851004
PMCPMC7406713
OpenAlexW3046431441

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.