کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8501601 | 1553843 | 2018 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Short communication: Genomic prediction using imputed whole-genome sequence variants in Brown Swiss Cattle
ترجمه فارسی عنوان
ارتباطات کوتاه: پیش بینی ژنومیک با استفاده از محدوده توالی کامل ژنوم در گاو بروس سوئیس
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کلمات کلیدی
پیش بینی ژنوم، براون سوئیس، اطلاعات توالی کامل ژنوم،
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
علوم دامی و جانورشناسی
چکیده انگلیسی
The accuracy of genomic prediction determines response to selection. It has been hypothesized that accuracy of genomic breeding values can be increased by a higher density of variants. We used imputed whole-genome sequence data and various single nucleotide polymorphism (SNP) selection criteria to estimate genomic breeding values in Brown Swiss cattle. The extreme scenarios were 50K SNP chip data and whole-genome sequence data with intermediate scenarios using linkage disequilibrium-pruned whole-genome sequence variants, only variants predicted to be missense, or the top 50K variants from genome-wide association studies. We estimated genomic breeding values for 3 traits (somatic cell score, nonreturn rate in heifers, and stature) and found differences in accuracy levels between traits. However, among different SNP sets, accuracy was very similar. In our analyses, sequence data led to a marginal increase in accuracy for 1 trait and was lower than 50K for the other traits. We concluded that the inclusion of imputed whole-genome sequence data does not lead to increased accuracy of genomic prediction with the methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Dairy Science - Volume 101, Issue 2, February 2018, Pages 1292-1296
Journal: Journal of Dairy Science - Volume 101, Issue 2, February 2018, Pages 1292-1296
نویسندگان
Mirjam Frischknecht, Theodorus H.E. Meuwissen, Beat Bapst, Franz R. Seefried, Christine Flury, Dorian Garrick, Heidi Signer-Hasler, Christian Stricker, Intergenomics Consortium Intergenomics Consortium, Anna Bieber, Ruedi Fries, Ingolf Russ,