Evidence map›Paper›PMID 22161245›Full record

ArticleMolecular biology reports2012

Analysis of genetic variability at codon 42 within caprine prion protein gene in relation to production traits in Chinese domestic breeds.

Xianyong Lan, Haiyu Zhao, Chongyang Wu, Shenrong Hu, Chuanying Pan, Chuzhao Lei, Hong Chen

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Article in Molecular biology reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Xianyong LanCollege of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, No. 22 Xinong Road, Yangling, 712100, Shaanxi, China.
Haiyu Zhao
Chongyang Wu
Shenrong Hu
Chuanying Pan
Chuzhao Lei
Hong Chen
Northwest A&F University · CNMRC Laboratory of Molecular Biology · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, genetic variability at codon 42 within prion protein (PRNP) gene and its associations with production traits were investigated in 2002 goats from four Chinese domestic breeds. The frequencies of allele "A" ranged from 0.353 to 0.562 in analyzed goat breeds with Hardy-Weinberg equilibrium (P > 0.05) except Xinong Sannen (XNSN) dairy breed. The establishment of relationships between different genotypes and growth traits was performed in Inner Mongolia white Cashmere (IMWC) breed and revealed an association of the polymorphism with body weight at 7-year-old goats (P = 0.033). The individuals with genotype GG showed heavier body weight than those with genotype AA. Moreover, association analysis detected two significant associations between different genotypes and cashmere yield and fiber length in IMWC breed (P = 0.009, P = 0.048, respectively). In addition, three significant associations of different genotypes with density of milk (a.m. and p.m.), solids-not-fat of milk (P = 0.013, P = 0.009 and P = 0.002), respectively, were found in XNSN breed. Genotype GG had better milk quality than others. These findings suggested that the polymorphism of codon 42 within PRNP was a useful DNA marker for eliminating or selecting excellent individuals in relation to production traits in marker-assist selection breeding of goat.

Indexed as

BreedingGenetic VariationQuantitative Trait, HeritableAnimalsBase SequenceBody WeightChinaChi-Square DistributionCodonGene FrequencyGenetic LociGenotypeGoatsMilkMolecular Sequence DataPolymerase Chain ReactionCodonPrions

Identifiers

PMID22161245
OpenAlexW1982387528

What OpenQuestion holds

Textmetadata
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.