Arunabha Majumdar
Arunabha Majumdar
Assistant Professor, Department of Mathematics, IIT Hyderabad
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Cited by
Cited by
Accurate estimation of SNP-heritability from biobank-scale data irrespective of genetic architecture
K Hou, KS Burch, A Majumdar, H Shi, N Mancuso, Y Wu, S Sankararaman, ...
Nature genetics 51 (8), 1244-1251, 2019
Cis-eQTL-based trans-ethnic meta-analysis reveals novel genes associated with breast cancer risk
JD Hoffman, RE Graff, NC Emami, CG Tai, MN Passarelli, D Hu, ...
PLoS genetics 13 (3), e1006690, 2017
An efficient Bayesian meta-analysis approach for studying cross-phenotype genetic associations
A Majumdar, T Haldar, S Bhattacharya, JS Witte
PLoS genetics 14 (2), e1007139, 2018
Optimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis
I Mandric, T Schwarz, A Majumdar, K Hou, L Briscoe, R Perez, ...
Nature communications 11 (1), 5504, 2020
Leveraging expression from multiple tissues using sparse canonical correlation analysis and aggregate tests improves the power of transcriptome-wide association studies
H Feng, N Mancuso, A Gusev, A Majumdar, M Major, B Pasaniuc, P Kraft
PLoS genetics 17 (4), e1008973, 2021
Semiparametric allelic tests for mapping multiple phenotypes: binomial regression and mahalanobis distance
A Majumdar, JS Witte, S Ghosh
Genetic epidemiology 39 (8), 635-650, 2015
Determining which phenotypes underlie a pleiotropic signal
A Majumdar, T Haldar, JS Witte
Genetic epidemiology 40 (5), 366-381, 2016
A Novel Bayesian Semiparametric Algorithm for Inferring Population Structure and Adjusting for Case‐Control Association Tests
A Majumdar, S Bhattacharya, A Basu, S Ghosh
Biometrics 69 (1), 164-173, 2013
Leveraging eQTLs to identify individual-level tissue of interest for a complex trait
A Majumdar, C Giambartolomei, N Cai, T Haldar, T Schwarz, M Gandal, ...
PLoS computational biology 17 (5), e1008915, 2021
A two-step approach to testing overall effect of gene–environment interaction for multiple phenotypes
A Majumdar, KS Burch, T Haldar, S Sankararaman, B Pasaniuc, ...
Bioinformatics 36 (24), 5640-5648, 2020
Large-scale cross-cancer fine-mapping of the 5p15. 33 region reveals multiple independent signals
H Chen, A Majumdar, L Wang, S Kar, KM Brown, H Feng, C Turman, ...
Human Genetics and Genomics Advances 2 (3), 100041, 2021
A summary-statistics-based approach to examine the role of serotonin transporter promoter tandem repeat polymorphism in psychiatric phenotypes
A Majumdar, P Patel, B Pasaniuc, RA Ophoff
European Journal of Human Genetics 30 (5), 547-554, 2022
Association mapping of blood pressure levels in a longitudinal framework using binomial regression
A Majumdar, I Mukhopadhyay, S Ghosh
BMC proceedings 8 (1), 1-4, 2014
Testing Equality of Multiple Population Means under Contaminated Normal Model Using the Density Power Divergence
J Das, BH Beyaztas, MK Mac-Ocloo, A Majumdar, A Mandal
Entropy 24 (9), 1189, 2022
A Bayesian method for estimating gene-level polygenicity under the framework of transcriptome-wide association study
A Majumdar, B Pasaniuc
arXiv preprint arXiv:2207.12173, 2022
Competing analytical strategies of combining associated SNPs for estimating genetic risks
A Majumdar, S Ghosh
Journal of Genetics 101 (1), 14, 2022
Adjustment for the uncertainty of predicted expression in transcriptome-wide association study: a fusion of measurement error theory and bootstrapping
A Majumdar, T Haldar
bioRxiv, 2022.11. 06.515378, 2022
R package MPGE
A Majumdar, T Haldar, 2020
R package eGST
A Majumdar, T Haldar, B Pasaniuc, 2019
R package CPBayes
A Majumdar, T Haldar, J Witte, 2018
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