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Items: 1 to 20 of 100

1.

Multi-trait analysis of genome-wide association summary statistics using MTAG.

Turley P, Walters RK, Maghzian O, Okbay A, Lee JJ, Fontana MA, Nguyen-Viet TA, Wedow R, Zacher M, Furlotte NA, Magnusson P, Oskarsson S, Johannesson M, Visscher PM, Laibson D, Cesarini D, Neale BM, Benjamin DJ; 23andMe Research Team; Social Science Genetic Association Consortium.

Nat Genet. 2018 Feb;50(2):229-237. doi: 10.1038/s41588-017-0009-4. Epub 2018 Jan 1.

2.

Efficient cross-trait penalized regression increases prediction accuracy in large cohorts using secondary phenotypes.

Chung W, Chen J, Turman C, Lindstrom S, Zhu Z, Loh PR, Kraft P, Liang L.

Nat Commun. 2019 Feb 4;10(1):569. doi: 10.1038/s41467-019-08535-0.

3.

Integrate multiple traits to detect novel trait-gene association using GWAS summary data with an adaptive test approach.

Guo B, Wu B.

Bioinformatics. 2018 Nov 23. doi: 10.1093/bioinformatics/bty961. [Epub ahead of print]

PMID:
30476000
4.

Methods for meta-analysis of multiple traits using GWAS summary statistics.

Ray D, Boehnke M.

Genet Epidemiol. 2018 Mar;42(2):134-145. doi: 10.1002/gepi.22105. Epub 2017 Dec 10.

5.

Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry.

Yengo L, Sidorenko J, Kemper KE, Zheng Z, Wood AR, Weedon MN, Frayling TM, Hirschhorn J, Yang J, Visscher PM; GIANT Consortium.

Hum Mol Genet. 2018 Oct 15;27(20):3641-3649. doi: 10.1093/hmg/ddy271.

PMID:
30124842
6.

Investigation of multi-trait associations using pathway-based analysis of GWAS summary statistics.

Pei G, Sun H, Dai Y, Liu X, Zhao Z, Jia P.

BMC Genomics. 2019 Feb 4;20(Suppl 1):79. doi: 10.1186/s12864-018-5373-7.

7.

Association of the Polygenic Scores for Personality Traits and Response to Selective Serotonin Reuptake Inhibitors in Patients with Major Depressive Disorder.

Amare AT, Schubert KO, Tekola-Ayele F, Hsu YH, Sangkuhl K, Jenkins G, Whaley RM, Barman P, Batzler A, Altman RB, Arolt V, Brockmöller J, Chen CH, Domschke K, Hall-Flavin DK, Hong CJ, Illi A, Ji Y, Kampman O, Kinoshita T, Leinonen E, Liou YJ, Mushiroda T, Nonen S, Skime MK, Wang L, Kato M, Liu YL, Praphanphoj V, Stingl JC, Bobo WV, Tsai SJ, Kubo M, Klein TE, Weinshilboum RM, Biernacka JM, Baune BT.

Front Psychiatry. 2018 Mar 6;9:65. doi: 10.3389/fpsyt.2018.00065. eCollection 2018.

8.

Use of meta-analyses and joint analyses to select variants in whole genome sequences for genomic evaluation: An application in milk production of French dairy cattle breeds.

Teissier M, Sanchez MP, Boussaha M, Barbat A, Hoze C, Robert-Granie C, Croiseau P.

J Dairy Sci. 2018 Apr;101(4):3126-3139. doi: 10.3168/jds.2017-13587. Epub 2018 Feb 7.

9.

The genetic association between personality and major depression or bipolar disorder. A polygenic score analysis using genome-wide association data.

Middeldorp CM, de Moor MH, McGrath LM, Gordon SD, Blackwood DH, Costa PT, Terracciano A, Krueger RF, de Geus EJ, Nyholt DR, Tanaka T, Esko T, Madden PA, Derringer J, Amin N, Willemsen G, Hottenga JJ, Distel MA, Uda M, Sanna S, Spinhoven P, Hartman CA, Ripke S, Sullivan PF, Realo A, Allik J, Heath AC, Pergadia ML, Agrawal A, Lin P, Grucza RA, Widen E, Cousminer DL, Eriksson JG, Palotie A, Barnett JH, Lee PH, Luciano M, Tenesa A, Davies G, Lopez LM, Hansell NK, Medland SE, Ferrucci L, Schlessinger D, Montgomery GW, Wright MJ, Aulchenko YS, Janssens AC, Oostra BA, Metspalu A, Abecasis GR, Deary IJ, Räikkönen K, Bierut LJ, Martin NG, Wray NR, van Duijn CM, Smoller JW, Penninx BW, Boomsma DI.

Transl Psychiatry. 2011 Oct 18;1:e50. doi: 10.1038/tp.2011.45.

10.

Comment on 'Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets' by Lam et al.

Hill WD.

Twin Res Hum Genet. 2018 Apr;21(2):84-88. doi: 10.1017/thg.2018.12. Epub 2018 Mar 19.

PMID:
29551100
11.
12.

A Powerful Approach to Estimating Annotation-Stratified Genetic Covariance via GWAS Summary Statistics.

Lu Q, Li B, Ou D, Erlendsdottir M, Powles RL, Jiang T, Hu Y, Chang D, Jin C, Dai W, He Q, Liu Z, Mukherjee S, Crane PK, Zhao H.

Am J Hum Genet. 2017 Dec 7;101(6):939-964. doi: 10.1016/j.ajhg.2017.11.001.

13.

A Selection Operator for Summary Association Statistics Reveals Allelic Heterogeneity of Complex Traits.

Ning Z, Lee Y, Joshi PK, Wilson JF, Pawitan Y, Shen X.

Am J Hum Genet. 2017 Dec 7;101(6):903-912. doi: 10.1016/j.ajhg.2017.09.027.

14.

Genome-wide analysis of over 106 000 individuals identifies 9 neuroticism-associated loci.

Smith DJ, Escott-Price V, Davies G, Bailey ME, Colodro-Conde L, Ward J, Vedernikov A, Marioni R, Cullen B, Lyall D, Hagenaars SP, Liewald DC, Luciano M, Gale CR, Ritchie SJ, Hayward C, Nicholl B, Bulik-Sullivan B, Adams M, Couvy-Duchesne B, Graham N, Mackay D, Evans J, Smith BH, Porteous DJ, Medland SE, Martin NG, Holmans P, McIntosh AM, Pell JP, Deary IJ, O'Donovan MC.

Mol Psychiatry. 2016 Jun;21(6):749-57. doi: 10.1038/mp.2016.49. Epub 2016 Apr 12. Erratum in: Mol Psychiatry. 2016 Nov;21(11):1644.

15.

Powerful and efficient SNP-set association tests across multiple phenotypes using GWAS summary data.

Guo B, Wu B.

Bioinformatics. 2018 Sep 19. doi: 10.1093/bioinformatics/bty811. [Epub ahead of print]

PMID:
30239606
16.

Integrating eQTL data with GWAS summary statistics in pathway-based analysis with application to schizophrenia.

Wu C, Pan W.

Genet Epidemiol. 2018 Apr;42(3):303-316. doi: 10.1002/gepi.22110. Epub 2018 Feb 7.

17.

Integrating Gene Expression with Summary Association Statistics to Identify Genes Associated with 30 Complex Traits.

Mancuso N, Shi H, Goddard P, Kichaev G, Gusev A, Pasaniuc B.

Am J Hum Genet. 2017 Mar 2;100(3):473-487. doi: 10.1016/j.ajhg.2017.01.031. Epub 2017 Feb 23.

18.

Integrating genome-wide association study and expression quantitative trait loci data identifies multiple genes and gene set associated with neuroticism.

Fan Q, Wang W, Hao J, He A, Wen Y, Guo X, Wu C, Ning Y, Wang X, Wang S, Zhang F.

Prog Neuropsychopharmacol Biol Psychiatry. 2017 Aug 1;78:149-152. doi: 10.1016/j.pnpbp.2017.05.017. Epub 2017 May 25.

PMID:
28552732
19.

An association study using imputed whole-genome sequence data identifies novel significant loci for growth-related traits in a Duroc × Erhualian F2 population.

Ji J, Yan G, Chen D, Xiao S, Gao J, Zhang Z.

J Anim Breed Genet. 2019 May;136(3):217-228. doi: 10.1111/jbg.12389. Epub 2019 Mar 14.

PMID:
30869175
20.

Finding associated variants in genome-wide association studies on multiple traits.

Gai L, Eskin E.

Bioinformatics. 2018 Jul 1;34(13):i467-i474. doi: 10.1093/bioinformatics/bty249.

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