| 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 | 101 | 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 | 64 | 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 | 57 | 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 | 48 | 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 | 42 | 2021 |
| Determining which phenotypes underlie a pleiotropic signal A Majumdar, T Haldar, JS Witte Genetic epidemiology 40 (5), 366-381, 2016 | 18 | 2016 |
| 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 | 18 | 2015 |
| 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 | 13 | 2013 |
| 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), 2021 | 9 | 2021 |
| 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 | 7 | 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 | 6 | 2022 |
| 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 | 6 | 2020 |
| Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regions S Lindström, L Wang, H Feng, A Majumdar, S Huo, J Macdonald, ... JNCI: Journal of the National Cancer Institute 115 (6), 712-732, 2023 | 3 | 2023 |
| 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 | 2 | 2022 |
| Association mapping of blood pressure levels in a longitudinal framework using binomial regression A Majumdar, I Mukhopadhyay, S Ghosh BMC proceedings 8, 1-4, 2014 | 2 | 2014 |
| A Bayesian method for estimating gene‐level polygenicity under the framework of transcriptome‐wide association study A Majumdar, B Pasaniuc Statistics in Medicine 42 (26), 4867-4885, 2023 | 1 | 2023 |
| A Bayesian method for estimating gene-level polygenicity under the framework of transcriptomewide association study (TWAS) A Majumdar, B Pasaniuc HUMAN HEREDITY 88 (SUPPL 1), 11-11, 2023 | | 2023 |
| 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 | | 2022 |
| Competing analytical strategies of combining associated SNPs for estimating genetic risks A Majumdar, S Ghosh Journal of Genetics 101 (1), 14, 2022 | | 2022 |
| R package MPGE A Majumdar, T Haldar https://cran.r-project.org/web/packages/MPGE/index.html, 2020 | | 2020 |
John S WitteProfessor, Stanford UniversityVerified email at stanford.edu
