Sequence-based genome-wide association study and fine-mapping in German Holstein reveal new quantitative trait loci for health traits.

IF 3.7 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
A M Križanac, C Reimer, J Heise, Z Liu, J E Pryce, J Bennewitz, G Thaller, C Falker-Gieske, J Tetens
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引用次数: 0

Abstract

We conducted a large GWAS of 11 health traits belonging to 3 trait complexes: (1) metabolic diseases, (2) infectious and noninfectious feet and claw disorders, and (3) udder-related traits in 100,809 to 180,217 German Holstein cows to investigate the genetic architecture and underlying biological mechanisms behind these complex traits. The GWAS identified 12,306 genome-wide significant variants across 10 traits. The new association signals were inspected with a Bayesian fine-mapping approach, leading to the discovery of 159 novel variants with high potential for causality. Variants were in known and novel regions for the traits studied, leading to a list of 53 novel candidate genes. Our study represents the largest whole-genome sequence GWAS for health traits so far, hence ensuring the power to detect meaningful variants, especially when enhanced with fine-mapping.

基于序列的全基因组关联研究和精细定位揭示了新的健康性状数量性状位点。
我们对100,809 ~ 180,217头德国荷斯坦奶牛的3个性状综合体(1)代谢疾病、(2)传染性和非传染性足爪疾病、(3)乳房相关性状)中的11个健康性状进行了大规模GWAS研究,以探讨这些复杂性状背后的遗传结构和潜在的生物学机制。GWAS在10个性状中发现了12306个全基因组显著变异。用贝叶斯精细映射方法检查了新的关联信号,发现了159个具有高因果关系潜力的新变体。变异是在已知和新区域的性状研究,导致53个新的候选基因的列表。我们的研究代表了迄今为止最大的健康性状全基因组序列GWAS,因此确保了检测有意义的变异的能力,特别是在精细制图的增强下。
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来源期刊
Journal of Dairy Science
Journal of Dairy Science 农林科学-奶制品与动物科学
CiteScore
7.90
自引率
17.10%
发文量
784
审稿时长
4.2 months
期刊介绍: The official journal of the American Dairy Science Association®, Journal of Dairy Science® (JDS) is the leading peer-reviewed general dairy research journal in the world. JDS readers represent education, industry, and government agencies in more than 70 countries with interests in biochemistry, breeding, economics, engineering, environment, food science, genetics, microbiology, nutrition, pathology, physiology, processing, public health, quality assurance, and sanitation.
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