Cigdem Sevim Bayrak

Assistant Professor

Icahn School of Medicine at Mount Sinai

United States

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About

Dr. Cigdem Sevim Bayrak is an Assistant Professor at the Icahn School of Medicine at Mount Sinai in the United States. Her research focuses on multi-omics analysis, genetic variants associated with diseases such as inflammatory bowel disease and COVID-19, and the genetic underpinnings of conditions like epilepsy and congenital heart disease. Recent publications highlight her work in understanding antibody responses to vaccinations and the genetic factors influencing stress susceptibility.

Articles (12)

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2021

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2021

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2021

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2020

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2020

Collaborators (8)

Nathalie Chami

Assistant Professor | Group leader | AI & Human Health

Icahn School of Medicine at Mount Sinai

UNITED STATES

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Alexander Rauch

Associate Professor

University of Southern Denmark

DENMARK

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Peng Zhang

Rockefeller University

UNITED STATES

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Adam Levine

NIHR Academic Clinical Lecturer

University College London

UNITED KINGDOM

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Marcel den Hoed

Assistant Professor, Docent

Uppsala Universitet Medicinska fakulteten

SWEDEN

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Stéphane Chabrier

Université Jean Monnet Saint-Etienne

FRANCE

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Michael Preuss

Assistant Professor

Icahn School of Medicine at Mount Sinai

UNITED STATES

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Lam Opal Huang

Københavns Universitet

DENMARK

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Cigdem Sevim Bayrak

Research Interests

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About

Articles (12)

Patient subtyping analysis of baseline multi-omic data reveals distinct pre-immune states associated with antibody response to seasonal influenza vaccination

Identifying high-impact variants and genes in exomes of Ashkenazi Jewish inflammatory bowel disease patients

A comprehensive knowledgebase of known and predicted human genetic variants associated with COVID-19 susceptibility and severity

Chemokine receptor 5 signaling in PFC mediates stress susceptibility in female mice

Genome-wide prediction of pathogenic gain- and loss-of-function variants from ensemble learning of a diverse feature set

Identifying shared genetic factors underlying epilepsy and congenital heart disease in Europeans

A comprehensive knowledgebase of known and predicted human genetic variants associated with COVID-19 susceptibility and severity

Genome-wide discovery of genetic loci that uncouple excess adiposity from its comorbidities

Identification of discriminative gene-level and protein-level features associated with pathogenic gain-of-function and loss-of-function variants

A computational approach for detecting physiological homogeneity in the midst of genetic heterogeneity

De novo variants in exomes of congenital heart disease patients identify risk genes and pathways

Identifying disease-causing mutations in genomes of single patients by computational approaches

Collaborators (8)

Nathalie Chami

Alexander Rauch

Peng Zhang

Adam Levine

Marcel den Hoed

Stéphane Chabrier

Michael Preuss

Lam Opal Huang

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