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Combined analysis of data from two granddaughter designs : A simple strategy for QTL confirmation and increasing experimental power in dairy cattle

Bennewitz, Jörn ; Reinsch, Norbert ; Grohs, Cécile ; Levéziel, Hubert ; Malafosse, Alain ; Thomsen, Hauke LU orcid ; Xu, Ningying ; Looft, Christian ; Kühn, Christa and Brockmann, Gudrun A. , et al. (2003) In Genetics Selection Evolution 35(3). p.319-338
Abstract

A joint analysis of five paternal half-sib Holstein families that were part of two different granddaughter designs (ADR- or Inra-design) was carried out for five milk production traits and somatic cell score in order to conduct a QTL confirmation study and to increase the experimental power. Data were exchanged in a coded and standardised form. The combined data set (JOINT-design) consisted of on average 231 sires per grandsire. Genetic maps were calculated for 133 markers distributed over nine chromosomes. QTL analyses were performed separately for each design and each trait. The results revealed QTL for milk production on chromosome 14, for milk yield on chromosome 5, and for fat content on chromosome 19 in both the ADR- and the... (More)

A joint analysis of five paternal half-sib Holstein families that were part of two different granddaughter designs (ADR- or Inra-design) was carried out for five milk production traits and somatic cell score in order to conduct a QTL confirmation study and to increase the experimental power. Data were exchanged in a coded and standardised form. The combined data set (JOINT-design) consisted of on average 231 sires per grandsire. Genetic maps were calculated for 133 markers distributed over nine chromosomes. QTL analyses were performed separately for each design and each trait. The results revealed QTL for milk production on chromosome 14, for milk yield on chromosome 5, and for fat content on chromosome 19 in both the ADR- and the Inra-design (confirmed within this study). Some QTL could only be mapped in either the ADR- or in the Inra-design (not confirmed within this study). Additional QTL previously undetected in the single designs were mapped in the JOINT-design for fat yield (chromosome 19 and 26), protein yield (chromosome 26), protein content (chromosome 5), and somatic cell score (chromosome 2 and 19) with genomewide significance. This study demonstrated the potential benefits of a combined analysis of data from different granddaughter designs.

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publishing date
type
Contribution to journal
publication status
published
keywords
Combined analysis, Dairy cattle, Granddaughter design, QTL confirmation, QTL mapping
in
Genetics Selection Evolution
volume
35
issue
3
pages
20 pages
publisher
BioMed Central (BMC)
external identifiers
  • pmid:12729552
  • scopus:0037854320
ISSN
0999-193X
DOI
10.1186/1297-9686-35-3-319
language
English
LU publication?
no
id
ebd25ae8-37d1-4742-9efe-8948632f1b68
date added to LUP
2018-10-10 13:37:36
date last changed
2024-03-16 02:53:19
@article{ebd25ae8-37d1-4742-9efe-8948632f1b68,
  abstract     = {{<p>A joint analysis of five paternal half-sib Holstein families that were part of two different granddaughter designs (ADR- or Inra-design) was carried out for five milk production traits and somatic cell score in order to conduct a QTL confirmation study and to increase the experimental power. Data were exchanged in a coded and standardised form. The combined data set (JOINT-design) consisted of on average 231 sires per grandsire. Genetic maps were calculated for 133 markers distributed over nine chromosomes. QTL analyses were performed separately for each design and each trait. The results revealed QTL for milk production on chromosome 14, for milk yield on chromosome 5, and for fat content on chromosome 19 in both the ADR- and the Inra-design (confirmed within this study). Some QTL could only be mapped in either the ADR- or in the Inra-design (not confirmed within this study). Additional QTL previously undetected in the single designs were mapped in the JOINT-design for fat yield (chromosome 19 and 26), protein yield (chromosome 26), protein content (chromosome 5), and somatic cell score (chromosome 2 and 19) with genomewide significance. This study demonstrated the potential benefits of a combined analysis of data from different granddaughter designs.</p>}},
  author       = {{Bennewitz, Jörn and Reinsch, Norbert and Grohs, Cécile and Levéziel, Hubert and Malafosse, Alain and Thomsen, Hauke and Xu, Ningying and Looft, Christian and Kühn, Christa and Brockmann, Gudrun A. and Schwerin, Manfred and Weimann, Christina and Hiendleder, Stefan and Erhardt, Georg and Medjugorac, Ivica and Russ, Ingolf and Förster, Martin and Brenig, Bertram and Reinhardt, Fritz and Reents, Reinhard and Averdunk, Gottfried and Blümel, Jürgen and Boichard, Didier and Kalm, Ernst}},
  issn         = {{0999-193X}},
  keywords     = {{Combined analysis; Dairy cattle; Granddaughter design; QTL confirmation; QTL mapping}},
  language     = {{eng}},
  month        = {{05}},
  number       = {{3}},
  pages        = {{319--338}},
  publisher    = {{BioMed Central (BMC)}},
  series       = {{Genetics Selection Evolution}},
  title        = {{Combined analysis of data from two granddaughter designs : A simple strategy for QTL confirmation and increasing experimental power in dairy cattle}},
  url          = {{http://dx.doi.org/10.1186/1297-9686-35-3-319}},
  doi          = {{10.1186/1297-9686-35-3-319}},
  volume       = {{35}},
  year         = {{2003}},
}