Evidence map›Paper›PMID 26194229›Full record

ArticleAsian-Australasian journal of animal sciences2015

Stories and Challenges of Genome Wide Association Studies in Livestock - A Review.

Aditi Sharma, Jun Seop Lee, Chang Gwon Dang, Pita Sudrajad, Hyeong Cheol Kim, Seong Heum Yeon, Hee Seol Kang, Seung-Hwan Lee

Abstract read
In one paragraph

Article in Asian-Australasian journal of animal sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
–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

65 citing papers in PubMed, 1 synthesis or guideline pooled it.

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5 more citing papers are in PubMed but not listed here.

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

8 authors.

Aditi SharmaDepartment of Animal Science and Biotechnology, Chung Nam National University, Daejeon 305-764, Korea .
Jun Seop LeeDepartment of Animal Science and Biotechnology, Chung Nam National University, Daejeon 305-764, Korea .
Chang Gwon DangDepartment of Animal Science and Biotechnology, Chung Nam National University, Daejeon 305-764, Korea .
Pita SudrajadDepartment of Animal Science and Biotechnology, Chung Nam National University, Daejeon 305-764, Korea .
Hyeong Cheol KimDepartment of Animal Science and Biotechnology, Chung Nam National University, Daejeon 305-764, Korea .
Seong Heum YeonDepartment of Animal Science and Biotechnology, Chung Nam National University, Daejeon 305-764, Korea .
Hee Seol KangDepartment of Animal Science and Biotechnology, Chung Nam National University, Daejeon 305-764, Korea .
Seung-Hwan LeeDepartment of Animal Science and Biotechnology, Chung Nam National University, Daejeon 305-764, Korea .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Undoubtedly livestock is one of the major contributors to the economy of any country. The economic value of livestock includes meat, dairy products, fiber, fertilizer etc. Understanding and identifying the associations of quantitative trait loci (QTL) with the economically important traits is believed to substantially benefit the livestock industry. The past two decades have seen a flurry of interest in mapping the QTL associated with traits of economic importance on the genome. With the availability of single nucleotide polymorphism chip of various densities it is possible to identify regions, QTL and genes on the genome that explain the association and its effect on the phenotype under consideration. Remarkable advancement has been seen in genome wide association studies (GWAS) since its inception till the present day. In this review we describe the progress and challenges of GWAS in various livestock species.

Indexed as

Genome-wide AssociationLivestockQTL

Identifiers

PMID26194229
PMCPMC4554843

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.