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Items: 1 to 20 of 127

1.

A General and Robust Framework for Secondary Traits Analysis.

Song X, Ionita-Laza I, Liu M, Reibman J, We Y.

Genetics. 2016 Apr;202(4):1329-43. doi: 10.1534/genetics.115.181073. Epub 2016 Feb 19.

2.

Robust estimation for secondary trait association in case-control genetic studies.

Tapsoba Jde D, Kooperberg C, Reiner A, Wang CY, Dai JY.

Am J Epidemiol. 2014 May 15;179(10):1264-72. doi: 10.1093/aje/kwu039. Epub 2014 Apr 9.

3.

A novel association test for multiple secondary phenotypes from a case-control GWAS.

Ray D, Basu S.

Genet Epidemiol. 2017 Jul;41(5):413-426. doi: 10.1002/gepi.22045. Epub 2017 Apr 10.

4.

Genome-wide association scans for secondary traits using case-control samples.

Monsees GM, Tamimi RM, Kraft P.

Genet Epidemiol. 2009 Dec;33(8):717-28. doi: 10.1002/gepi.20424.

5.

Validity of using ad hoc methods to analyze secondary traits in case-control association studies.

Yung G, Lin X.

Genet Epidemiol. 2016 Dec;40(8):732-743. doi: 10.1002/gepi.21994. Epub 2016 Sep 26.

6.

Robust analysis of secondary phenotypes in case-control genetic association studies.

Xing C, M McCarthy J, Dupuis J, Adrienne Cupples L, B Meigs J, Lin X, S Allen A.

Stat Med. 2016 Oct 15;35(23):4226-37. doi: 10.1002/sim.6976. Epub 2016 May 30.

7.

Estimation of odds ratios of genetic variants for the secondary phenotypes associated with primary diseases.

Wang J, Shete S.

Genet Epidemiol. 2011 Apr;35(3):190-200. doi: 10.1002/gepi.20568. Epub 2011 Feb 9.

8.

Improving power and robustness for detecting genetic association with extreme-value sampling design.

Chen HY, Li M.

Genet Epidemiol. 2011 Dec;35(8):823-30. doi: 10.1002/gepi.20631. Epub 2011 Oct 17.

PMID:
22006659
9.

A Robust and Powerful Set-Valued Approach to Rare Variant Association Analyses of Secondary Traits in Case-Control Sequencing Studies.

Kang G, Bi W, Zhang H, Pounds S, Cheng C, Shete S, Zou F, Zhao Y, Zhang JF, Yue W.

Genetics. 2017 Mar;205(3):1049-1062. doi: 10.1534/genetics.116.192377. Epub 2016 Dec 30.

10.

Statistical estimation of correlated genome associations to a quantitative trait network.

Kim S, Xing EP.

PLoS Genet. 2009 Aug;5(8):e1000587. doi: 10.1371/journal.pgen.1000587. Epub 2009 Aug 14.

11.

An Effective Method to Identify Heritable Components from Multivariate Phenotypes.

Sun J, Kranzler HR, Bi J.

PLoS One. 2015 Dec 14;10(12):e0144418. doi: 10.1371/journal.pone.0144418. eCollection 2015.

12.

CONTROL FUNCTION ASSISTED IPW ESTIMATION WITH A SECONDARY OUTCOME IN CASE-CONTROL STUDIES.

Sofer T, Cornelis MC, Kraft P, Tchetgen Tchetgen EJ.

Stat Sin. 2017 Apr;27(2):785-804. doi: 10.5705/ss.202015.0116.

13.

Analysis of secondary phenotype involving the interactive effect of the secondary phenotype and genetic variants on the primary disease.

Wang J, Shete S.

Ann Hum Genet. 2012 Nov;76(6):484-99. doi: 10.1111/j.1469-1809.2012.00725.x. Epub 2012 Aug 10.

14.

Weighted pseudolikelihood for SNP set analysis with multiple secondary outcomes in case-control genetic association studies.

Sofer T, Schifano ED, Christiani DC, Lin X.

Biometrics. 2017 Dec;73(4):1210-1220. doi: 10.1111/biom.12680. Epub 2017 Mar 27.

15.

Secondary phenotype analysis in ascertained family designs: application to the Leiden longevity study.

Tissier R, Tsonaka R, Mooijaart SP, Slagboom E, Houwing-Duistermaat JJ.

Stat Med. 2017 Jun 30;36(14):2288-2301. doi: 10.1002/sim.7281. Epub 2017 Mar 16.

16.

Gibbs sampling-based segregation analysis of asthma-associated quantitative traits in a population-based sample of nuclear families.

Palmer LJ, Cookson WO, James AL, Musk AW, Burton PR.

Genet Epidemiol. 2001 Apr;20(3):356-72.

PMID:
11255244
18.

A unified method for detecting secondary trait associations with rare variants: application to sequence data.

Liu DJ, Leal SM.

PLoS Genet. 2012;8(11):e1003075. doi: 10.1371/journal.pgen.1003075. Epub 2012 Nov 15.

19.

Bias correction to secondary trait analysis with case-control design.

Chen HY, Kittles R, Zhang W.

Stat Med. 2013 Apr 30;32(9):1494-508. doi: 10.1002/sim.5613. Epub 2012 Sep 17.

20.

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