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For: Park JY, Wu C, Basu S, McGue M, Pan W. Adaptive SNP-Set Association Testing in Generalized Linear Mixed Models with Application to Family Studies. Behav Genet 2018;48:55-66. [PMID: 29150721 DOI: 10.1007/s10519-017-9883-x] [Cited by in Crossref: 9] [Cited by in F6Publishing: 5] [Article Influence: 1.8] [Reference Citation Analysis]
Number Citing Articles
1 Park JY, Fiecas M. CLEAN: Leveraging spatial autocorrelation in neuroimaging data in clusterwise inference. Neuroimage 2022;255:119192. [PMID: 35398279 DOI: 10.1016/j.neuroimage.2022.119192] [Reference Citation Analysis]
2 Wu C, Bradley J, Li Y, Wu L, Deng HW. A gene-level methylome-wide association analysis identifies novel Alzheimer's disease genes. Bioinformatics 2021:btab045. [PMID: 33523132 DOI: 10.1093/bioinformatics/btab045] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Seal S, Boatman JA, McGue M, Basu S. Modeling the Dependence Structure in Genome Wide Association Studies of Binary Phenotypes in Family Data. Behav Genet 2020;50:423-39. [PMID: 32804302 DOI: 10.1007/s10519-020-10010-2] [Reference Citation Analysis]
4 . Announcement of the Fulker Award for a Paper Published in Behavior Genetics, Volume 48, 2018. Behav Genet 2019;49:561. [PMID: 31608428 DOI: 10.1007/s10519-019-09974-7] [Reference Citation Analysis]
5 Chen H, Huffman JE, Brody JA, Wang C, Lee S, Li Z, Gogarten SM, Sofer T, Bielak LF, Bis JC, Blangero J, Bowler RP, Cade BE, Cho MH, Correa A, Curran JE, de Vries PS, Glahn DC, Guo X, Johnson AD, Kardia S, Kooperberg C, Lewis JP, Liu X, Mathias RA, Mitchell BD, O'Connell JR, Peyser PA, Post WS, Reiner AP, Rich SS, Rotter JI, Silverman EK, Smith JA, Vasan RS, Wilson JG, Yanek LR, Redline S, Smith NL, Boerwinkle E, Borecki IB, Cupples LA, Laurie CC, Morrison AC, Rice KM, Lin X; NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium., TOPMed Hematology and Hemostasis Working Group. Efficient Variant Set Mixed Model Association Tests for Continuous and Binary Traits in Large-Scale Whole-Genome Sequencing Studies. Am J Hum Genet 2019;104:260-74. [PMID: 30639324 DOI: 10.1016/j.ajhg.2018.12.012] [Cited by in Crossref: 57] [Cited by in F6Publishing: 33] [Article Influence: 19.0] [Reference Citation Analysis]
6 Wang X, Boekstegers F, Brinster R. Methods and results from the genome-wide association group at GAW20. BMC Genet 2018;19:79. [PMID: 30255814 DOI: 10.1186/s12863-018-0649-0] [Reference Citation Analysis]
7 Park JY, Wu C, Pan W. An adaptive gene-level association test for pedigree data. BMC Genet 2018;19:68. [PMID: 30255770 DOI: 10.1186/s12863-018-0639-2] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]