Literature DB >> 27889128

Genome-wide association study for lactation persistency, female fertility, longevity, and lifetime profit index traits in Holstein dairy cattle.

S Nayeri1, M Sargolzaei2, M K Abo-Ismail3, S Miller4, F Schenkel5, S S Moore6, P Stothard7.   

Abstract

Female fertility in Holstein cattle can decline when intense genetic selection is placed on milk production. One approach to improving fertility is to identify the genomic regions and variants affecting fertility traits and then incorporate this knowledge into selection decisions. The objectives of this study were to identify or refine the positions of the genomic regions associated with lactation persistency, female fertility traits (age at first service, cow first service to conception, heifer and cow nonreturn rates), longevity traits (herd life, indirect herd life, and direct herd life), and lifetime profit index in the North American Holstein dairy cattle population. A genome-wide association study was performed for each trait, using a single SNP (single nucleotide polymorphism) regression mixed linear model and imputed high-density panel (777k) genotypes. No associations were identified for fertility traits. Several peak regions were detected for lifetime profit index, lactation persistency, and longevity. The results overlap with previous findings and identify some novel regions for lactation persistency. Previously proposed causative and candidate genes supported by this work include DGAT1, GRINA, and CPSF1, whereas new candidate genes are SLC2A4RG and THRB. Thus, the chromosomal regions identified in this study not only confirm several previous findings but also highlight new regions that may contribute to genetic variation in lactation persistency and longevity-associated traits in dairy cattle. The Authors. Published by the Federation of Animal Science Societies and Elsevier Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

Entities:  

Keywords:  fertility; genome-wide association study; lifetime profit index; longevity

Mesh:

Year:  2016        PMID: 27889128     DOI: 10.3168/jds.2016-11770

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  10 in total

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2.  A Post-GWAS Functional Analysis Confirming Effects of Three BTA13 Genes CACNB2, SLC39A12, and ZEB1 on Dairy Cattle Reproduction.

Authors:  Abdul Sammad; Hailiang Zhang; Rui Shi; Yixin Dong; Hanpeng Luo; Ziwei Chen; Lin Liu; Gang Guo; Aoxing Liu; Yachun Wang
Journal:  Front Genet       Date:  2022-06-08       Impact factor: 4.772

3.  A targeted genotyping approach to enhance the identification of variants for lactation persistency in dairy cows.

Authors:  Duy Ngoc Do; Nathalie Bissonnette; Pierre Lacasse; Filippo Miglior; Xin Zhao; Eveline M Ibeagha-Awemu
Journal:  J Anim Sci       Date:  2019-10-03       Impact factor: 3.159

4.  Genome-wide association for milk production and lactation curve parameters in Holstein dairy cows.

Authors:  Hadi Atashi; Mazdak Salavati; Jenne De Koster; Jim Ehrlich; Mark Crowe; Geert Opsomer; Miel Hostens
Journal:  J Anim Breed Genet       Date:  2019-10-01       Impact factor: 2.380

5.  GWAS and fine-mapping of livability and six disease traits in Holstein cattle.

Authors:  Ellen Freebern; Daniel J A Santos; Lingzhao Fang; Jicai Jiang; Kristen L Parker Gaddis; George E Liu; Paul M VanRaden; Christian Maltecca; John B Cole; Li Ma
Journal:  BMC Genomics       Date:  2020-01-13       Impact factor: 3.969

6.  Genetic Parameters and Genome-Wide Association Studies of Eight Longevity Traits Representing Either Full or Partial Lifespan in Chinese Holsteins.

Authors:  Hailiang Zhang; Aoxing Liu; Yachun Wang; Hanpeng Luo; Xinyi Yan; Xiangyu Guo; Xiang Li; Lin Liu; Guosheng Su
Journal:  Front Genet       Date:  2021-02-25       Impact factor: 4.599

7.  Genomewide Association Analyses of Lactation Persistency and Milk Production Traits in Holstein Cattle Based on Imputed Whole-Genome Sequence Data.

Authors:  Victor B Pedrosa; Flavio S Schenkel; Shi-Yi Chen; Hinayah R Oliveira; Theresa M Casey; Melkaye G Melka; Luiz F Brito
Journal:  Genes (Basel)       Date:  2021-11-19       Impact factor: 4.096

8.  Identifying Loci Under Positive Selection in Yellow Korean Cattle (Hanwoo).

Authors:  Yi Li; Yun-Mi Lee; You-Sam Kim; Se-Pil Park; Jong-Joo Kim
Journal:  Evol Bioinform Online       Date:  2019-06-27       Impact factor: 1.625

9.  Identifying pleiotropic variants and candidate genes for fertility and reproduction traits in Holstein cattle via association studies based on imputed whole-genome sequence genotypes.

Authors:  Shi-Yi Chen; Flavio S Schenkel; Ana L P Melo; Hinayah R Oliveira; Victor B Pedrosa; Andre C Araujo; Melkaye G Melka; Luiz F Brito
Journal:  BMC Genomics       Date:  2022-04-28       Impact factor: 4.547

10.  A 12 kb multi-allelic copy number variation encompassing a GC gene enhancer is associated with mastitis resistance in dairy cattle.

Authors:  Young-Lim Lee; Haruko Takeda; Gabriel Costa Monteiro Moreira; Latifa Karim; Erik Mullaart; Wouter Coppieters; Ruth Appeltant; Roel F Veerkamp; Martien A M Groenen; Michel Georges; Mirte Bosse; Tom Druet; Aniek C Bouwman; Carole Charlier
Journal:  PLoS Genet       Date:  2021-07-21       Impact factor: 5.917

  10 in total

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