406 related articles for article (PubMed ID: 26482794)
1. The Nature of Genetic Variation for Complex Traits Revealed by GWAS and Regional Heritability Mapping Analyses.
Caballero A; Tenesa A; Keightley PD
Genetics; 2015 Dec; 201(4):1601-13. PubMed ID: 26482794
[TBL] [Abstract][Full Text] [Related]
2. Regional heritability mapping and genome-wide association identify loci for complex growth, wood and disease resistance traits in Eucalyptus.
Resende RT; Resende MD; Silva FF; Azevedo CF; Takahashi EK; Silva-Junior OB; Grattapaglia D
New Phytol; 2017 Feb; 213(3):1287-1300. PubMed ID: 28079935
[TBL] [Abstract][Full Text] [Related]
3. Genome-Wide Association and Regional Heritability Mapping of Plant Architecture, Lodging and Productivity in
Resende RT; de Resende MDV; Azevedo CF; Fonseca E Silva F; Melo LC; Pereira HS; Souza TLPO; Valdisser PAMR; Brondani C; Vianello RP
G3 (Bethesda); 2018 Jul; 8(8):2841-2854. PubMed ID: 29967054
[TBL] [Abstract][Full Text] [Related]
4. The power of regional heritability analysis for rare and common variant detection: simulations and application to eye biometrical traits.
Uemoto Y; Pong-Wong R; Navarro P; Vitart V; Hayward C; Wilson JF; Rudan I; Campbell H; Hastie ND; Wright AF; Haley CS
Front Genet; 2013; 4():232. PubMed ID: 24312116
[TBL] [Abstract][Full Text] [Related]
5. Inferring the Nature of Missing Heritability in Human Traits Using Data from the GWAS Catalog.
López-Cortegano E; Caballero A
Genetics; 2019 Jul; 212(3):891-904. PubMed ID: 31123044
[TBL] [Abstract][Full Text] [Related]
6. Multi-trait meta-analyses reveal 25 quantitative trait loci for economically important traits in Brown Swiss cattle.
Fang ZH; Pausch H
BMC Genomics; 2019 Sep; 20(1):695. PubMed ID: 31481029
[TBL] [Abstract][Full Text] [Related]
7. A population genetic interpretation of GWAS findings for human quantitative traits.
Simons YB; Bullaughey K; Hudson RR; Sella G
PLoS Biol; 2018 Mar; 16(3):e2002985. PubMed ID: 29547617
[TBL] [Abstract][Full Text] [Related]
8. Genetic architecture of quantitative traits in beef cattle revealed by genome wide association studies of imputed whole genome sequence variants: I: feed efficiency and component traits.
Zhang F; Wang Y; Mukiibi R; Chen L; Vinsky M; Plastow G; Basarab J; Stothard P; Li C
BMC Genomics; 2020 Jan; 21(1):36. PubMed ID: 31931702
[TBL] [Abstract][Full Text] [Related]
9. Multitrait genome association analysis identifies new susceptibility genes for human anthropometric variation in the GCAT cohort.
Galván-Femenía I; Obón-Santacana M; Piñeyro D; Guindo-Martinez M; Duran X; Carreras A; Pluvinet R; Velasco J; Ramos L; Aussó S; Mercader JM; Puig L; Perucho M; Torrents D; Moreno V; Sumoy L; de Cid R
J Med Genet; 2018 Nov; 55(11):765-778. PubMed ID: 30166351
[TBL] [Abstract][Full Text] [Related]
10. Genomic prediction using preselected DNA variants from a GWAS with whole-genome sequence data in Holstein-Friesian cattle.
Veerkamp RF; Bouwman AC; Schrooten C; Calus MP
Genet Sel Evol; 2016 Dec; 48(1):95. PubMed ID: 27905878
[TBL] [Abstract][Full Text] [Related]
11. Independent and Joint-GWAS for growth traits in Eucalyptus by assembling genome-wide data for 3373 individuals across four breeding populations.
Müller BSF; de Almeida Filho JE; Lima BM; Garcia CC; Missiaggia A; Aguiar AM; Takahashi E; Kirst M; Gezan SA; Silva-Junior OB; Neves LG; Grattapaglia D
New Phytol; 2019 Jan; 221(2):818-833. PubMed ID: 30252143
[TBL] [Abstract][Full Text] [Related]
12. How powerful are summary-based methods for identifying expression-trait associations under different genetic architectures?
Veturi Y; Ritchie MD
Pac Symp Biocomput; 2018; 23():228-239. PubMed ID: 29218884
[TBL] [Abstract][Full Text] [Related]
13. Dominance genetic variation contributes little to the missing heritability for human complex traits.
Zhu Z; Bakshi A; Vinkhuyzen AA; Hemani G; Lee SH; Nolte IM; van Vliet-Ostaptchouk JV; Snieder H; ; Esko T; Milani L; Mägi R; Metspalu A; Hill WG; Weir BS; Goddard ME; Visscher PM; Yang J
Am J Hum Genet; 2015 Mar; 96(3):377-85. PubMed ID: 25683123
[TBL] [Abstract][Full Text] [Related]
14. Localising loci underlying complex trait variation using Regional Genomic Relationship Mapping.
Nagamine Y; Pong-Wong R; Navarro P; Vitart V; Hayward C; Rudan I; Campbell H; Wilson J; Wild S; Hicks AA; Pramstaller PP; Hastie N; Wright AF; Haley CS
PLoS One; 2012; 7(10):e46501. PubMed ID: 23077511
[TBL] [Abstract][Full Text] [Related]
15. Genome-wide association and genotype by environment interactions for growth traits in U.S. Gelbvieh cattle.
Smith JL; Wilson ML; Nilson SM; Rowan TN; Oldeschulte DL; Schnabel RD; Decker JE; Seabury CM
BMC Genomics; 2019 Dec; 20(1):926. PubMed ID: 31801456
[TBL] [Abstract][Full Text] [Related]
16. Assessing the value of phenotypic information from non-genotyped animals for QTL mapping of complex traits in real and simulated populations.
Melo TP; Takada L; Baldi F; Oliveira HN; Dias MM; Neves HH; Schenkel FS; Albuquerque LG; Carvalheiro R
BMC Genet; 2016 Jun; 17(1):89. PubMed ID: 27328759
[TBL] [Abstract][Full Text] [Related]
17. Concepts, estimation and interpretation of SNP-based heritability.
Yang J; Zeng J; Goddard ME; Wray NR; Visscher PM
Nat Genet; 2017 Aug; 49(9):1304-1310. PubMed ID: 28854176
[TBL] [Abstract][Full Text] [Related]
18. The Beavis Effect in Next-Generation Mapping Panels in
King EG; Long AD
G3 (Bethesda); 2017 Jun; 7(6):1643-1652. PubMed ID: 28592647
[TBL] [Abstract][Full Text] [Related]
19. Distinguishing pleiotropy from linked QTL between milk production traits and mastitis resistance in Nordic Holstein cattle.
Cai Z; Dusza M; Guldbrandtsen B; Lund MS; Sahana G
Genet Sel Evol; 2020 Apr; 52(1):19. PubMed ID: 32264818
[TBL] [Abstract][Full Text] [Related]
20. Comparison of gene-based rare variant association mapping methods for quantitative traits in a bovine population with complex familial relationships.
Zhang Q; Guldbrandtsen B; Calus MP; Lund MS; Sahana G
Genet Sel Evol; 2016 Aug; 48(1):60. PubMed ID: 27534618
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]