Majumdar A - Search Results

1

Semiparametric Allelic Tests for Mapping Multiple Phenotypes: Binomial Regression and Mahalanobis Distance.

Majumdar A, Witte JS, Ghosh S. Majumdar A, et al. Genet Epidemiol. 2015 Dec;39(8):635-50. doi: 10.1002/gepi.21930. Epub 2015 Oct 23. Genet Epidemiol. 2015. PMID: 26493781 Free PMC article.

2

A novel Bayesian semiparametric algorithm for inferring population structure and adjusting for case-control association tests.

Majumdar A, Bhattacharya S, Basu A, Ghosh S. Majumdar A, et al. Biometrics. 2013 Mar;69(1):164-73. doi: 10.1111/biom.12004. Epub 2013 Feb 21. Biometrics. 2013. PMID: 23432096

3

Association mapping of blood pressure levels in a longitudinal framework using binomial regression.

Majumdar A, Mukhopadhyay I, Ghosh S. Majumdar A, et al. BMC Proc. 2014 Jun 17;8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S74. doi: 10.1186/1753-6561-8-S1-S74. eCollection 2014. BMC Proc. 2014. PMID: 25519402 Free PMC article.

4

Determining Which Phenotypes Underlie a Pleiotropic Signal.

Majumdar A, Haldar T, Witte JS. Majumdar A, et al. Genet Epidemiol. 2016 Jul;40(5):366-81. doi: 10.1002/gepi.21973. Epub 2016 May 30. Genet Epidemiol. 2016. PMID: 27238845 Free PMC article.

5

Cis-eQTL-based trans-ethnic meta-analysis reveals novel genes associated with breast cancer risk.

Hoffman JD, Graff RE, Emami NC, Tai CG, Passarelli MN, Hu D, Huntsman S, Hadley D, Leong L, Majumdar A, Zaitlen N, Ziv E, Witte JS. Hoffman JD, et al. Among authors: majumdar a. PLoS Genet. 2017 Mar 31;13(3):e1006690. doi: 10.1371/journal.pgen.1006690. eCollection 2017 Mar. PLoS Genet. 2017. PMID: 28362817 Free PMC article.

6

An efficient Bayesian meta-analysis approach for studying cross-phenotype genetic associations.

Majumdar A, Haldar T, Bhattacharya S, Witte JS. Majumdar A, et al. PLoS Genet. 2018 Feb 12;14(2):e1007139. doi: 10.1371/journal.pgen.1007139. eCollection 2018 Feb. PLoS Genet. 2018. PMID: 29432419 Free PMC article.

7

A two-step approach to testing overall effect of gene-environment interaction for multiple phenotypes.

Majumdar A, Burch KS, Haldar T, Sankararaman S, Pasaniuc B, Gauderman WJ, Witte JS. Majumdar A, et al. Bioinformatics. 2021 Apr 5;36(24):5640-5648. doi: 10.1093/bioinformatics/btaa1083. Bioinformatics. 2021. PMID: 33453114

8

Leveraging expression from multiple tissues using sparse canonical correlation analysis and aggregate tests improves the power of transcriptome-wide association studies.

Feng H, Mancuso N, Gusev A, Majumdar A, Major M, Pasaniuc B, Kraft P. Feng H, et al. Among authors: majumdar a. PLoS Genet. 2021 Apr 8;17(4):e1008973. doi: 10.1371/journal.pgen.1008973. eCollection 2021 Apr. PLoS Genet. 2021. PMID: 33831007 Free PMC article.

9

Competing analytical strategies of combining associated SNPs for estimating genetic risks.

Majumdar A, Ghosh S. Majumdar A, et al. J Genet. 2022;101:14. J Genet. 2022. PMID: 35129133 Free article.

10

Accurate estimation of SNP-heritability from biobank-scale data irrespective of genetic architecture.

Hou K, Burch KS, Majumdar A, Shi H, Mancuso N, Wu Y, Sankararaman S, Pasaniuc B. Hou K, et al. Among authors: majumdar a. Nat Genet. 2019 Aug;51(8):1244-1251. doi: 10.1038/s41588-019-0465-0. Epub 2019 Jul 29. Nat Genet. 2019. PMID: 31358995 Free PMC article.

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