Highly effective SNP-based association mapping and management of recessive defects in livestock

C Charlier; W Coppieters; F Rollin; D Desmecht; J S Agerholm; N Cambisano; E Carta; S Dardano; M Dive; C Fasquelle; J C Frennet; R Hanset; X Hubin; C Jorgensen; L Karim; M Kent; K Harvey; B R Pearce; P Simon; N Tama; H Nie; S Vandeputte; S Lien; M Longeri; M Fredholm; Robert J Harvey; M Georges

doi:10.1038/ng.96

Back

Highly effective SNP-based association mapping and management of recessive defects in livestock

Journal article

Peer reviewed

Highly effective SNP-based association mapping and management of recessive defects in livestock

C Charlier, W Coppieters, F Rollin, D Desmecht, J S Agerholm, N Cambisano, E Carta, S Dardano, M Dive, C Fasquelle, …

Nature Genetics, Vol.40(4), pp.449-454

2008

DOI: https://doi.org/10.1038/ng.96

Files and links (1)

url

https://doi.org/10.1038/ng.96View

Published Version

Abstract

The widespread use of elite sires by means of artificial insemination in livestock breeding leads to the frequent emergence of recessive genetic defects, which cause significant economic and animal welfare concerns. Here we show that the availability of genome-wide, high-density SNP panels, combined with the typical structure of livestock populations, markedly accelerates the positional identification of genes and mutations that cause inherited defects. We report the fine-scale mapping of five recessive disorders in cattle and the molecular basis for three of these: congenital muscular dystony (CMD) types 1 and 2 in Belgian Blue cattle and ichthyosis fetalis in Italian Chianina cattle. Identification of these causative mutations has an immediate translation into breeding practice, allowing marker assisted selection against the defects through avoidance of at-risk matings. © 2008 Nature Publishing Group.

Details

Title: Highly effective SNP-based association mapping and management of recessive defects in livestock
Authors: C Charlier (Author) - University of Liege, Belgium
W Coppieters (Author) - University of Liege, Belgium
F Rollin (Author) - University of Liege, Belgium
D Desmecht (Author) - University of Liege, Belgium
J S Agerholm (Author) - University of Copenhagen, Denmark
N Cambisano (Author) - University of Liege, Belgium
E Carta (Author) - University College London, United Kingdom
S Dardano (Author) - University of Milan, Italy
M Dive (Author)
C Fasquelle (Author) - University of Liege, Belgium
J C Frennet (Author)
R Hanset (Author) - University of Liege, Belgium
X Hubin (Author) - Association Wallonne de l'Elevage, Belgium
C Jorgensen (Author) - University of Copenhagen, Denmark
L Karim (Author) - University of Liege, Belgium
M Kent (Author) - Norwegian University of Life Sciences, Norway
K Harvey (Author) - University College London, United Kingdom
B R Pearce (Author) - University College London, United Kingdom
P Simon (Author) - University of Liege, Belgium
N Tama (Author) - University of Liege, Belgium
H Nie (Author) - University of Liege, Belgium
S Vandeputte (Author) - University of Liege, Belgium
S Lien (Author) - Norwegian University of Life Sciences, Norway
M Longeri (Author) - University of Milan, Italy
M Fredholm (Author) - University of Copenhagen, Denmark
Robert J Harvey (Author) - University College London, United Kingdom
M Georges (Author) - University of Liege, Belgium
Publication details: Nature Genetics, Vol.40(4), pp.449-454
Publisher: Nature Publishing Group
Date published: 2008
DOI: 10.1038/ng.96
ISSN: 1061-4036
Organisation Unit: School of Health; University of the Sunshine Coast, Queensland; School of Health and Sport Sciences - Legacy; Centre for Bioinnovation; School of Health and Behavioural Sciences - Legacy
Language: English
Record Identifier: 99450684102621
Output Type: Journal article

Metrics

3 File views/ downloads

513 Record Views

242 Times Cited - Web of Science

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Genetics & Heredity

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

Source: InCites