Evidence map›Paper›PMID 34530512›Full record

ArticleAnimal bioscience2022

Optimal population size to detect quantitative trait loci in Korean native chicken: a simulation study.

Chiemela Peter Nwogwugwu, Yeongkuk Kim, Sunghyun Cho, Hee-Jong Roh, Jihye Cha, Seung Hwan Lee, Jun Heon Lee

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Article in Animal bioscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Chiemela Peter NwogwugwuDepartment of Animal Science, University of Calabar, Etagbor, PMB 1115, Calabar, Nigeria.
Yeongkuk KimDivision of Animal and Dairy Science, Chungnam National University, Daejeon 34134, Korea.
Sunghyun ChoDivision of Animal and Dairy Science, Chungnam National University, Daejeon 34134, Korea.
Hee-Jong RohAnimal Genetic Resources Center, National Institute of Animal Science, RDA, Hamyang 50000, Korea.
Jihye ChaAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea.
Seung Hwan LeeDivision of Animal and Dairy Science, Chungnam National University, Daejeon 34134, Korea.
Jun Heon LeeDivision of Animal and Dairy Science, Chungnam National University, Daejeon 34134, Korea.

Funding

Rural Development Administration PJ0157852022
6 · The paper itself

Abstract

objectiveA genomic region associated with a particular phenotype is called quantitative trait loci (QTL). To detect the optimal F2 population size associated with QTLs in native chicken, we performed a simulation study on F2 population derived from crosses between two different breeds.

methodsA total of 15 males and 150 females were randomly selected from the last generation of each F1 population which was composed of different breed to create two different F2 populations. The progenies produced from these selected individuals were simulated for six more generations. Their marker genotypes were simulated with a density of 50K at three different heritability levels for the traits such as 0.1, 0.3, and 0.5. Our study compared 100, 500, 1,000 reference population (RP) groups to each other with three different heritability levels. And a total of 35 QTLs were used, and their locations were randomly created.

resultsWith a RP size of 100, no QTL was detected to satisfy Bonferroni value at three different heritability levels. In a RP size of 500, two QTLs were detected when the heritability was 0.5. With a RP size of 1,000, 0.1 heritability was detected only one QTL, and 0.5 heritability detected five QTLs. To sum up, RP size and heritability play a key role in detecting QTLs in a QTL study. The larger RP size and greater heritability value, the higher the probability of detection of QTLs.

conclusionOur study suggests that the use of a large RP and heritability can improve QTL detection in an F2 chicken population.

Indexed as

ChickenHeritabilityQuantitative Trait Loci (QTL) DetectionReference Population SizeSimulation

Identifiers

PMID34530512
PMCPMC8902204

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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.