Arjun Bhattacharya

Assistant Professor

The University of Texas MD Anderson Cancer Center

United States

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Arjun Bhattacharya is an Assistant Professor at The University of Texas MD Anderson Cancer Center in the United States. His research focuses on genetic risk mechanisms in various cancers, neurogenetics related to Alzheimer’s disease and other mental health conditions, and the regulation of gene expression across different ancestries. He has contributed to several recent articles that explore innovative methodologies and insights into complex traits and health risks.

Articles (13)

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2025

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2024

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2024

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2024

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2023

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2022

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2022

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2021

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2020

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2020

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2020

Collaborators (10)

Laura Rasmussen-Torvik

Associate Professor and Chief of Epidemiology

Northwestern University Feinberg School of Medicine

UNITED STATES

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Steven Buyske

Rutgers University

UNITED STATES

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Charles Perou

Professor

University of North Carolina

UNITED STATES

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Chloe Yap

University of Oxford

UNITED KINGDOM

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Zhihong Zhu

Aarhus University

DENMARK

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Kangcheng Hou

Broad Institute of MIT and Harvard

UNITED STATES

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Eric Gamazon

University of Chicago

UNITED STATES

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Georgios Voloudakis

Associate Professor

Icahn School of Medicine at Mount Sinai

UNITED STATES

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Jian Zeng

The University of Queensland

AUSTRALIA

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aldons lusis

prof

David Geffen School of Medicine at UCLA

UNITED STATES

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Arjun Bhattacharya

Research Interests

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Articles (13)

Isoform-level analyses of 6 cancers uncover extensive genetic risk mechanisms undetected at the gene-level

Brain cell-type shifts in Alzheimer’s disease, autism, and schizophrenia interrogated using methylomics and genetics

Cross-ancestry atlas of gene, isoform, and splicing regulation in the developing human brain

Polygenic scores for tobacco use provide insights into systemic health risks in a diverse EHR-linked biobank in Los Angeles

Causal effects on complex traits are similar for common variants across segments of different continental ancestries within admixed individuals.

Best practices for multi-ancestry, meta-analytic transcriptome-wide association studies: Lessons from the Global Biobank Meta-analysis Initiative.

Placental genomics mediates genetic associations with complex health traits and disease

Gene-Level Germline Contributions to Clinical Risk of Recurrence Scores in Black and White Patients with Breast Cancer

DeCompress: tissue compartment deconvolution of targeted mRNA expression panels using compressed sensing

MOSTWAS: Multi-Omic Strategies for Transcriptome-Wide Association Studies

Evidence for the placenta-brain axis: multi-omic kernel aggregation predicts intellectual and social impairment in children born extremely preterm

An approach for normalization and quality control for NanoString RNA expression data

A framework for transcriptome-wide association studies in breast cancer in diverse study populations

Collaborators (10)

Laura Rasmussen-Torvik

Steven Buyske

Charles Perou

Chloe Yap

Zhihong Zhu

Kangcheng Hou

Eric Gamazon

Georgios Voloudakis

Jian Zeng

aldons lusis

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