69 related articles for article (PubMed ID: 28200018)
1. Probabilistic natural mapping of gene-level tests for genome-wide association studies.
Bao F; Deng Y; Du M; Ren Z; Zhang Q; Zhao Y; Suo J; Zhang Z; Wang M; Dai Q
Brief Bioinform; 2018 Jul; 19(4):545-553. PubMed ID: 28200018
[TBL] [Abstract][Full Text] [Related]
2. iGWAS: Integrative Genome-Wide Association Studies of Genetic and Genomic Data for Disease Susceptibility Using Mediation Analysis.
Huang YT; Liang L; Moffatt MF; Cookson WO; Lin X
Genet Epidemiol; 2015 Jul; 39(5):347-56. PubMed ID: 25997986
[TBL] [Abstract][Full Text] [Related]
3. Limits on the reproducibility of marker associations with southern leaf blight resistance in the maize nested association mapping population.
Bian Y; Yang Q; Balint-Kurti PJ; Wisser RJ; Holland JB
BMC Genomics; 2014 Dec; 15(1):1068. PubMed ID: 25475173
[TBL] [Abstract][Full Text] [Related]
4. Genome-wide association study for conformation traits in three Danish pig breeds.
Le TH; Christensen OF; Nielsen B; Sahana G
Genet Sel Evol; 2017 Jan; 49(1):12. PubMed ID: 28118822
[TBL] [Abstract][Full Text] [Related]
5. Multi-breed genome-wide association study reveals novel loci associated with the weight of internal organs.
He Y; Li X; Zhang F; Su Y; Hou L; Chen H; Zhang Z; Huang L
Genet Sel Evol; 2015 Nov; 47():87. PubMed ID: 26576866
[TBL] [Abstract][Full Text] [Related]
6. Genetic variation and association mapping for 12 agronomic traits in indica rice.
Lu Q; Zhang M; Niu X; Wang S; Xu Q; Feng Y; Wang C; Deng H; Yuan X; Yu H; Wang Y; Wei X
BMC Genomics; 2015 Dec; 16():1067. PubMed ID: 26673149
[TBL] [Abstract][Full Text] [Related]
7. JEPEG: a summary statistics based tool for gene-level joint testing of functional variants.
Lee D; Williamson VS; Bigdeli TB; Riley BP; Fanous AH; Vladimirov VI; Bacanu SA
Bioinformatics; 2015 Apr; 31(8):1176-82. PubMed ID: 25505091
[TBL] [Abstract][Full Text] [Related]
8. A genome-scale integrated approach aids in genetic dissection of complex flowering time trait in chickpea.
Upadhyaya HD; Bajaj D; Das S; Saxena MS; Badoni S; Kumar V; Tripathi S; Gowda CL; Sharma S; Tyagi AK; Parida SK
Plant Mol Biol; 2015 Nov; 89(4-5):403-20. PubMed ID: 26394865
[TBL] [Abstract][Full Text] [Related]
9. An efficient unified model for genome-wide association studies and genomic selection.
Li H; Su G; Jiang L; Bao Z
Genet Sel Evol; 2017 Aug; 49(1):64. PubMed ID: 28836943
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Phenotype-Genotype Integrator (PheGenI): synthesizing genome-wide association study (GWAS) data with existing genomic resources.
Ramos EM; Hoffman D; Junkins HA; Maglott D; Phan L; Sherry ST; Feolo M; Hindorff LA
Eur J Hum Genet; 2014 Jan; 22(1):144-7. PubMed ID: 23695286
[TBL] [Abstract][Full Text] [Related]
12. Accounting for trait architecture in genomic predictions of US Holstein cattle using a weighted realized relationship matrix.
Tiezzi F; Maltecca C
Genet Sel Evol; 2015 Apr; 47(1):24. PubMed ID: 25886167
[TBL] [Abstract][Full Text] [Related]
13. Genome-wide association study for endocrine fertility traits using single nucleotide polymorphism arrays and sequence variants in dairy cattle.
Tenghe AMM; Bouwman AC; Berglund B; Strandberg E; de Koning DJ; Veerkamp RF
J Dairy Sci; 2016 Jul; 99(7):5470-5485. PubMed ID: 27157577
[TBL] [Abstract][Full Text] [Related]
14. An Adaptive Association Test for Multiple Phenotypes with GWAS Summary Statistics.
Kim J; Bai Y; Pan W
Genet Epidemiol; 2015 Dec; 39(8):651-63. PubMed ID: 26493956
[TBL] [Abstract][Full Text] [Related]
15. Multiple-trait QTL mapping and genomic prediction for wool traits in sheep.
Bolormaa S; Swan AA; Brown DJ; Hatcher S; Moghaddar N; van der Werf JH; Goddard ME; Daetwyler HD
Genet Sel Evol; 2017 Aug; 49(1):62. PubMed ID: 28810834
[TBL] [Abstract][Full Text] [Related]
16. Genomic consequences of selection and genome-wide association mapping in soybean.
Wen Z; Boyse JF; Song Q; Cregan PB; Wang D
BMC Genomics; 2015 Sep; 16(1):671. PubMed ID: 26334313
[TBL] [Abstract][Full Text] [Related]
17. Genome-Wide Association Mapping and Genomic Prediction Elucidate the Genetic Architecture of Morphological Traits in Arabidopsis.
Kooke R; Kruijer W; Bours R; Becker F; Kuhn A; van de Geest H; Buntjer J; Doeswijk T; Guerra J; Bouwmeester H; Vreugdenhil D; Keurentjes JJ
Plant Physiol; 2016 Apr; 170(4):2187-203. PubMed ID: 26869705
[TBL] [Abstract][Full Text] [Related]
18. Extreme-phenotype genome-wide association study (XP-GWAS): a method for identifying trait-associated variants by sequencing pools of individuals selected from a diversity panel.
Yang J; Jiang H; Yeh CT; Yu J; Jeddeloh JA; Nettleton D; Schnable PS
Plant J; 2015 Nov; 84(3):587-96. PubMed ID: 26386250
[TBL] [Abstract][Full Text] [Related]
19. Genome Wide Single Locus Single Trait, Multi-Locus and Multi-Trait Association Mapping for Some Important Agronomic Traits in Common Wheat (T. aestivum L.).
Jaiswal V; Gahlaut V; Meher PK; Mir RR; Jaiswal JP; Rao AR; Balyan HS; Gupta PK
PLoS One; 2016; 11(7):e0159343. PubMed ID: 27441835
[TBL] [Abstract][Full Text] [Related]
20. Genome-wide association studies to identify quantitative trait loci affecting milk production traits in water buffalo.
Liu JJ; Liang AX; Campanile G; Plastow G; Zhang C; Wang Z; Salzano A; Gasparrini B; Cassandro M; Yang LG
J Dairy Sci; 2018 Jan; 101(1):433-444. PubMed ID: 29128211
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]