دورية أكاديمية

Identification of Genomic Variants Causing Variation in Quantitative Traits: A Review

التفاصيل البيبلوغرافية
العنوان: Identification of Genomic Variants Causing Variation in Quantitative Traits: A Review
المؤلفون: Theo Meuwissen, Ben Hayes, Iona MacLeod, Michael Goddard
المصدر: Agriculture, Vol 12, Iss 10, p 1713 (2022)
بيانات النشر: MDPI AG, 2022.
سنة النشر: 2022
المجموعة: LCC:Agriculture (General)
مصطلحات موضوعية: genomic prediction, causal variants, linkage disequilibrium, quantitative trait loci, Agriculture (General), S1-972
الوصف: Many of the important traits of livestock are complex or quantitative traits controlled by thousands of variants in the DNA sequence of individual animals and environmental factors. Identification of these causal variants would be advantageous for genomic prediction, to understand the physiology and evolution of important traits and for genome editing. However, it is difficult to identify these causal variants because their effects are small and they are in linkage disequilibrium with other DNA variants. Nevertheless, it should be possible to identify probable causal variants for complex traits just as we do for simple traits provided we compensate for the small effect size with larger sample size. In this review we consider eight types of evidence needed to identify causal variants. Large and diverse samples of animals, accurate genotypes, multiple phenotypes, annotation of genomic sites, comparisons across species, comparisons across the genome, the physiological role of candidate genes and experimental mutation of the candidate genomic site.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2077-0472
العلاقة: https://www.mdpi.com/2077-0472/12/10/1713Test; https://doaj.org/toc/2077-0472Test
DOI: 10.3390/agriculture12101713
الوصول الحر: https://doaj.org/article/b1f3d6b751764dd48250ea696069b0c1Test
رقم الانضمام: edsdoj.b1f3d6b751764dd48250ea696069b0c1
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20770472
DOI:10.3390/agriculture12101713