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Single- and Bayesian Multi-Marker Genome-Wide Association.pdf 1,15MB
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1000 Titel
  • Single- and Bayesian Multi-Marker Genome-Wide Association for Haematological Parameters in Pigs
1000 Autor/in
  1. Ponsuksili, Siriluck |
  2. Trakooljul, Nares |
  3. Murani, Eduard |
  4. Reyer, Henry |
  5. Wimmers, Klaus |
1000 Erscheinungsjahr 2016
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2016-07-19
1000 Erschienen in
1000 Quellenangabe
  • 11(7):e0159212
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2016
1000 Lizenz
1000 Verlagsversion
  • http://dx.doi.org/10.1371/journal.pone.0159212 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4951017/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Haematological traits are important traits that show associations with immune and metabolic status, as well as diseases in humans and animals. Mapping genome regions that affect the blood cell traits can contribute to the identification of genomic features useable as biomarkers for immune, disease and metabolic status. A genome-wide association study (GWAS) was conducted using PorcineSNP60 BeadChips. Single-marker and Bayesian multi-marker approaches were integrated to identify genomic regions and corresponding genes overlapping for both methods. GWAS was performed for haematological traits of 591 German Landrace pig. Heritability estimates for haematological traits were medium to high. In total 252 single SNPs associated with 12 haematological traits were identified (NegLog10 of p-value > 5). The Bayesian multi-marker approach revealed 102 QTL regions across the genome, indicated by 1-Mb windows with contribution to additive genetic variance above 0.5%. The integration of both methods resulted in 24 overlapping QTL regions. This study identified overlapping QTL regions from single- and multi-marker approaches for haematological traits. Identifying candidate genes that affect blood cell traits provides the first step towards the understanding of the molecular basis of haematological phenotypes.
1000 Sacherschließung
lokal Genetic loci
lokal Platelets
lokal Red blood cells
lokal Swine
lokal Quantitative trait loci
lokal Blood counts
lokal Hematology
lokal Genetic-wide association studies
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/UG9uc3Vrc2lsaSwgU2lyaWx1Y2s=|https://frl.publisso.de/adhoc/creator/VHJha29vbGp1bCwgTmFyZXM=|https://frl.publisso.de/adhoc/creator/TXVyYW5pLCBFZHVhcmQ=|http://orcid.org/0000-0001-6470-0434|http://orcid.org/0000-0002-9523-6790
1000 Label
1000 Förderer
  1. German Federal Ministry of Education and Research |
  2. Leibniz Institute for Farm Animal Biology (FBN) |
  3. Leibniz Association |
1000 Fördernummer
  1. FKZ 0315536G
  2. -
  3. -
1000 Förderprogramm
  1. AgroClustEr PHAENOMICS
  2. Open Access fund
  3. Open Access fund
1000 Dateien
  1. Single- and Bayesian Multi-Marker Genome-Wide Association for Haematological Parameters in Pigs
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer German Federal Ministry of Education and Research |
    1000 Förderprogramm AgroClustEr PHAENOMICS
    1000 Fördernummer FKZ 0315536G
  2. 1000 joinedFunding-child
    1000 Förderer Leibniz Institute for Farm Animal Biology (FBN) |
    1000 Förderprogramm Open Access fund
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Leibniz Association |
    1000 Förderprogramm Open Access fund
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6403732.rdf
1000 Erstellt am 2017-08-08T14:10:19.607+0200
1000 Erstellt von 122
1000 beschreibt frl:6403732
1000 Bearbeitet von 288
1000 Zuletzt bearbeitet Tue Feb 23 10:35:31 CET 2021
1000 Objekt bearb. Tue Feb 23 10:35:31 CET 2021
1000 Vgl. frl:6403732
1000 Oai Id
  1. oai:frl.publisso.de:frl:6403732 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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