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Items: 1 to 20 of 133

1.

Genome-Wide Association Analyses in the Model Rhizobium Ensifer meliloti.

Epstein B, Abou-Shanab RAI, Shamseldin A, Taylor MR, Guhlin J, Burghardt LT, Nelson M, Sadowsky MJ, Tiffin P.

mSphere. 2018 Oct 24;3(5). pii: e00386-18. doi: 10.1128/mSphere.00386-18.

2.

GenToS: Use of Orthologous Gene Information to Prioritize Signals from Human GWAS.

Hoppmann AS, Schlosser P, Backofen R, Lausch E, Köttgen A.

PLoS One. 2016 Sep 9;11(9):e0162466. doi: 10.1371/journal.pone.0162466. eCollection 2016.

3.

Robustness encoded across essential and accessory replicons of the ecologically versatile bacterium Sinorhizobium meliloti.

diCenzo GC, Benedict AB, Fondi M, Walker GC, Finan TM, Mengoni A, Griffitts JS.

PLoS Genet. 2018 Apr 19;14(4):e1007357. doi: 10.1371/journal.pgen.1007357. eCollection 2018 Apr.

4.

A Genome-Wide Association Study on the Seedless Phenotype in Banana (Musa spp.) Reveals the Potential of a Selected Panel to Detect Candidate Genes in a Vegetatively Propagated Crop.

Sardos J, Rouard M, Hueber Y, Cenci A, Hyma KE, van den Houwe I, Hribova E, Courtois B, Roux N.

PLoS One. 2016 May 4;11(5):e0154448. doi: 10.1371/journal.pone.0154448. eCollection 2016.

5.

Using Genomic Data to Find Disease-Modifying Loci in Huntington's Disease (HD).

Holmans P, Stone T.

Methods Mol Biol. 2018;1780:443-461. doi: 10.1007/978-1-4939-7825-0_20.

PMID:
29856030
6.

PhenoSpD: an integrated toolkit for phenotypic correlation estimation and multiple testing correction using GWAS summary statistics.

Zheng J, Richardson TG, Millard LAC, Hemani G, Elsworth BL, Raistrick CA, Vilhjalmsson B, Neale BM, Haycock PC, Smith GD, Gaunt TR.

Gigascience. 2018 Aug 1;7(8). doi: 10.1093/gigascience/giy090.

7.

Integrating RNA-seq and GWAS reveals novel genetic mutations for buffalo reproductive traits.

Li J, Liu J, Liu S, Plastow G, Zhang C, Wang Z, Campanile G, Salzano A, Gasparrini B, Hua G, Liang A, Yang L.

Anim Reprod Sci. 2018 Oct;197:290-295. doi: 10.1016/j.anireprosci.2018.08.041. Epub 2018 Aug 30.

PMID:
30190187
8.

An Empirical Bayes Mixture Model for Effect Size Distributions in Genome-Wide Association Studies.

Thompson WK, Wang Y, Schork AJ, Witoelar A, Zuber V, Xu S, Werge T, Holland D; Schizophrenia Working Group of the Psychiatric Genomics Consortium, Andreassen OA, Dale AM.

PLoS Genet. 2015 Dec 29;11(12):e1005717. doi: 10.1371/journal.pgen.1005717. eCollection 2015 Dec.

9.
10.

Multi-population GWAS and enrichment analyses reveal novel genomic regions and promising candidate genes underlying bovine milk fatty acid composition.

Gebreyesus G, Buitenhuis AJ, Poulsen NA, Visker MHPW, Zhang Q, van Valenberg HJF, Sun D, Bovenhuis H.

BMC Genomics. 2019 Mar 6;20(1):178. doi: 10.1186/s12864-019-5573-9.

11.

Genomic architecture of complex traits in loblolly pine.

De La Torre AR, Puiu D, Crepeau MW, Stevens K, Salzberg SL, Langley CH, Neale DB.

New Phytol. 2019 Mar;221(4):1789-1801. doi: 10.1111/nph.15535. Epub 2018 Nov 9.

PMID:
30318590
12.

Optimising the identification of causal variants across varying genetic architectures in crops.

Miao C, Yang J, Schnable JC.

Plant Biotechnol J. 2019 May;17(5):893-905. doi: 10.1111/pbi.13023. Epub 2018 Nov 9.

13.

Multitrait genome-wide association analysis of Populus trichocarpa identifies key polymorphisms controlling morphological and physiological traits.

Chhetri HB, Macaya-Sanz D, Kainer D, Biswal AK, Evans LM, Chen JG, Collins C, Hunt K, Mohanty SS, Rosenstiel T, Ryno D, Winkeler K, Yang X, Jacobson D, Mohnen D, Muchero W, Strauss SH, Tschaplinski TJ, Tuskan GA, DiFazio SP.

New Phytol. 2019 Mar 7. doi: 10.1111/nph.15777. [Epub ahead of print]

PMID:
30843213
14.

A Scalable Bayesian Method for Integrating Functional Information in Genome-wide Association Studies.

Yang J, Fritsche LG, Zhou X, Abecasis G; International Age-Related Macular Degeneration Genomics Consortium.

Am J Hum Genet. 2017 Sep 7;101(3):404-416. doi: 10.1016/j.ajhg.2017.08.002. Epub 2017 Aug 24.

15.

No Evidence That Schizophrenia Candidate Genes Are More Associated With Schizophrenia Than Noncandidate Genes.

Johnson EC, Border R, Melroy-Greif WE, de Leeuw CA, Ehringer MA, Keller MC.

Biol Psychiatry. 2017 Nov 15;82(10):702-708. doi: 10.1016/j.biopsych.2017.06.033. Epub 2017 Jul 13.

16.

Early developmental gene enhancers affect subcortical volumes in the adult human brain.

Becker M, Guadalupe T, Franke B, Hibar DP, Renteria ME, Stein JL, Thompson PM, Francks C, Vernes SC, Fisher SE.

Hum Brain Mapp. 2016 May;37(5):1788-800. doi: 10.1002/hbm.23136. Epub 2016 Feb 18.

17.

Permanent draft genome sequences of the symbiotic nitrogen fixing Ensifer meliloti strains BO21CC and AK58.

Galardini M, Bazzicalupo M, Biondi E, Brambilla E, Brilli M, Bruce D, Chain P, Chen A, Daligault H, Davenport KW, Deshpande S, Detter JC, Goodwin LA, Han C, Han J, Huntemann M, Ivanova N, Klenk HP, Kyrpides NC, Markowitz V, Mavrommatis K, Mocali S, Nolan M, Pagani I, Pati A, Pini F, Pitluck S, Spini G, Szeto E, Teshima H, Woyke T, Mengoni A.

Stand Genomic Sci. 2013 Dec 15;9(2):325-33. doi: 10.4056/sigs.3797438. eCollection 2013 Dec 20.

18.

Comparing Genome-Wide Association Study Results from Different Measurements of an Underlying Phenotype.

Gage JL, de Leon N, Clayton MK.

G3 (Bethesda). 2018 Nov 6;8(11):3715-3722. doi: 10.1534/g3.118.200700.

19.

From Identification to Function: Current Strategies to Prioritise and Follow-Up GWAS Results.

Berlanga-Taylor AJ.

Methods Mol Biol. 2018;1793:259-275. doi: 10.1007/978-1-4939-7868-7_15. Review.

PMID:
29876901
20.

Linking genotype to phenotype in a changing ocean: inferring the genomic architecture of a blue mussel stress response with genome-wide association.

Kingston SE, Martino P, Melendy M, Reed FA, Carlon DB.

J Evol Biol. 2018 Mar;31(3):346-361. doi: 10.1111/jeb.13224. Epub 2018 Jan 19.

PMID:
29266503

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