Laura Rasmussen-Torvik

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Associate Professor and Chief of Epidemiology

Northwestern University Feinberg School of Medicine

United States

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About

Laura Rasmussen-Torvik is an Associate Professor and Chief of Epidemiology at Northwestern University Feinberg School of Medicine in the United States. Her research focuses on genetic epidemiology, type 2 diabetes, and the integration of multiomics datasets, as evidenced by her recent publications. She also explores the implementation of equitable medical care within clinical settings and the utilization of genetic services in pediatric care.

Recent Grants

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Integration of genomics into clinical care for SCD

Open Date: 2019-07-01

Close Date: 2023-06-30

Articles (21)

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Collaborators (25)

Courtney Scherr

Associate Professor

Northwestern University

UNITED STATES

Laura Rasmussen-Torvik

Research Interests

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About

Recent Grants

Articles (21)

Covering medical care costs for participants in the eMERGE Network: Challenges for equity and implementation

Genome-wide meta-analysis identifies novel risk loci for uterine fibroids within and across multiple ancestry groups.

Mapping the use of cardiovascular genetic services in pediatric clinical care: challenges and opportunities for improvement.

Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

Serum metabolomic profiling of incident type 2 diabetes mellitus in the Multi-Ethnic Study of Atherosclerosis and Rotterdam Study.

The importance of diverse multiomics datasets and analyses

An Online Tool for Correcting Performance Measures of Electronic Phenotyping Algorithms for Verification Bias

Fetal behavior and gestational serotonin reuptake inhibitor exposure: relationships between behavior, drug dosage, plasma drug level, and a measure of drug bioeffect

From Calculation to Communication: Using Risk Score Calculators to Inform Clinical Decision Making and Facilitate Patient Engagement

From Calculation to Communication: Using Risk Score Calculators to Inform Clinical Decision Making and Facilitate Patient Engagement.

Time of day for COVID vaccine administration linked to clinical effectiveness

Multi-ancestry genome- and phenome-wide association studies of diverticular disease in electronic health records with natural language processing enriched phenotyping algorithm.

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

Missense Genetic Variation of ICAM1 and Incident Heart Failure.

Investigating gene-diet interactions impacting the association between macronutrient intake and glycemic traits.

Secretory leukocyte protease inhibitor and risk of heart failure in the Multi-Ethnic Study of Atherosclerosis.

Returning integrated genomic risk and clinical recommendations: The eMERGE study.

Prospective, multi-site study of healthcare utilization after actionable monogenic findings from clinical sequencing.

Changes in Sertraline Plasma Concentrations Across Pregnancy and Postpartum

Genome-wide association and multi-trait analyses characterize the common genetic architecture of heart failure.

Recognizing the importance of COVID-19 data wrangling.

Collaborators (25)

Courtney Scherr

Christopher Haggerty

Mark Pereira

Jordi Merino

Aude Deydier

Ruth Loos

Steven Buyske

Adam Heath

Tian Ge

Alfred L George

Jennifer Ann Smith

Tiinamaija Tuomi

Charles Burant

Megan Roy-Puckelwartz

Amy L. Salisbury

Eric Sijbrands

Megan M Shuey

Stavroula Kanoni

Kangcheng Hou

Filipe Moura

Arjun Bhattacharya

Josh Denny

Jee-Young Moon

Niels Grarup

Andrew Morris

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