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Human Genomics

Our scientists combine advanced genomic and informatics technologies to understand the genetic causes and mechanisms of human disease.

Overview

Deciphering the human genome is enabling scientists to gain new insights into the drivers of health and disease.

We use the latest genomic tools coupled with machine learning to advance personalized interventions based on the unique health characteristics of individuals.

Genome sequencing has revolutionized our ability to predict disease risk, empowering patients with actionable information that can help them better manage their health.
Ali Torkamani, PhD Professor & Director of Genome Informatics

Machine and deep learning prediction of disease risk

We develop artificial intelligence models that improve the rates of disease prediction and detection with the goal of advancing personalized interventions tailored to individual patients.

Genetic risk scores

The app-based MyGeneRank research program sought to understand how your genetic risk influences health decisions. Findings from the initial analysis, focusing on coronary artery disease, indicate increased statin initiation among high genetic risk individuals.

Healthy aging

The Wellderly study investigated the genetic secrets behind lifelong health. By analyzing genomic data from 1,400 people between the ages of 80 and 105 who have not developed any common chronic medical conditions or disease, researchers found a link between genes that protect against cognitive decline and healthy aging.

Video

The Genomic Revolution: Using DNA to predict disease risk and individualize treatment

Your DNA contains an incredible amount of information about every aspect of your being, including your risk of developing certain diseases. But up until recently, it was nearly impossible for doctors to analyze that information for individual patients. Now, with the help of affordable genomic sequencing, artificial intelligence and machine learning, scientists are working towards personalizing medical care.

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News, Events & Media
Podcast

Ali Torkamani: Preventing heart disease with personalized genetic testing

Professor Ali Torkamani explains how his team mines population-level genetic data to make predictions about future disease risk.

Illustration of heart
News

A better way to predict a patient’s risk of coronary artery disease

Scripps Research scientists developed a model that more accurately identifies patients at risk of coronary artery disease and can inform tailored treatment.

Person holding their wrist.
News

Picking the fastest progressing patients to speed Parkinson’s disease clinical trials

A Scripps Research team developed a new tool that can predict how Parkinson’s disease patients will fare over the course of a year based on their genetics, brain scans and physical examinations.

News

Scripps Research develops a smartphone app to calculate genetic risk for heart attack

Study showed that at-risk users who downloaded the app increased life-saving statin use

Illustration of elderly couple dancing.
News

Wellderly study suggests link between genes that protect against cognitive decline and overall healthy aging

The first results from Scripps Research's Wellderly study are published in the journal Cell.

Magazine

Time warp – The future of healthy aging

At Scripps Research, scientists from a range of fields are rapidly unraveling the mysteries of biological aging.

Video

Preventing heart disease with machine learning and smartphone technology

Scripps Research professor Ali Torkamani shared how his team is developing app-based digital tools that can analyze genetic markers and predict someone’s future cardiovascular risk. 

Groundbreaking Science.
Life-changing Medicine.