Accelerated deciphering of the genetic architecture of agricultural economic traits in pigs using a low-coverage whole-genome sequencing strategy
Author(s) -
Ruifei Yang,
Xiaoli Guo,
Di Zhu,
Cheng Tan,
Cheng Bian,
Jiangli Ren,
Zhuolin Huang,
Yiqiang Zhao,
Gengyuan Cai,
Dewu Liu,
Zhenfang Wu,
Yuzhe Wang,
Ning Li,
Xiaoxiang Hu
Publication year - 2021
Publication title -
gigascience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/giab048
Subject(s) - genetic architecture , biology , quantitative trait locus , polygene , genome wide association study , genetic association , genetics , genome , single nucleotide polymorphism , population , association mapping , computational biology , gene , genotype , medicine , environmental health
Uncovering the genetic architecture of economic traits in pigs is important for agricultural breeding. However, high-density haplotype reference panels are unavailable in most agricultural species, limiting accurate genotype imputation in large populations. Moreover, the infinitesimal model of quantitative traits implies that weak association signals tend to be spread across most of the genome, further complicating the genetic analysis. Hence, there is a need to develop new methods for sequencing large cohorts without large reference panels.
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