Release 56
(Apr 24, 2025)
Curator: Cari Park
Curated: 2020-07-15
Updated: 2024-04-23

Publication # 32183688 Details

Authors: Sanchez MP, Guatteo R, Davergne A, Saout J, Grohs C, Deloche MC, Taussat S, Fritz S, Boussaha M, Blanquefort P, Delafosse A, Joly A, Schibler L, Fourichon C, Boichard D (Contact: marie-pierre.sanchez@inrae.fr)
Affiliation: Université Paris Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
Title: Identification of the ABCC4, IER3, and CBFA2T2 candidate genes for resistance to paratuberculosis from sequence-based GWAS in Holstein and Normande dairy cattle
Journal: Genet Sel Evol, 52(1):14 (2020) DOI: 10.1186/s12711-020-00535-9
Links:   PubMed  |  Abstract   |   ( Related study: none )
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There are 1 QTL/association on this publication are currently "Obsolete" by the data owner or curator. Please write to Bioinfo-Team@animalgenome.org with the URL address of this page for assistance (for example, if you are a reviewer of a manuscript citing this address as data deposit point).

Number of QTL/association reported by traits:

QTL/association Reported by chromosomes:

Number of gene-based eQTL/associations:

  • None

 

Cite this Dataset:

Animal QTLdb: Dataset from Sanchez MP, Guatteo R, Davergne A, Saout J, Grohs C, Deloche MC, Taussat S, Fritz S, Boussaha M, Blanquefort P, Delafosse A, Joly A, Schibler L, Fourichon C, Boichard D (2020). Identification of the ABCC4, IER3, and CBFA2T2 candidate genes for resistance to paratuberculosis from sequence-based GWAS in Holstein and Normande dairy cattle. Genet Sel Evol, 52(1):14; Curated into QTLdb on 2020-07-16. Universal link to this data set: https://www.animalgenome.org/QTLdb/supp/?t=IjSq9A0PlR

OR

Sanchez MP, Guatteo R, Davergne A, Saout J, Grohs C, Deloche MC, Taussat S, Fritz S, Boussaha M, Blanquefort P, Delafosse A, Joly A, Schibler L, Fourichon C, Boichard D (2020). Identification of the ABCC4, IER3, and CBFA2T2 candidate genes for resistance to paratuberculosis from sequence-based GWAS in Holstein and Normande dairy cattle. Genet Sel Evol, 52(1):14; DOI: https://dx.doi.org/10.1186/s12711-020-00535-9

 

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