Using genomics to predict disease risk

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

Corie Lok — Mon, 19 Feb 2024 16:00:28 +0000

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

By Corie Lok February 19, 2024

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

As part of a nationwide collaboration, ӳ��ý Clinical Labs researchers have optimized 10 polygenic scores for use in clinical research as part of a study on how to implement genetic risk prediction for patients.

By Sarah C.P. Williams

February 19, 2024

By analyzing millions of small genetic differences across a person’s genome, researchers can calculate a polygenic risk score to estimate someone’s lifetime odds of developing a certain disease. Over the past decade, scientists have developed these risk scores for dozens of diseases, including heart disease, kidney disease, diabetes, and cancer, with the hope that patients could one day use this information to lower any heightened risk of disease. But determining whether such tests work effectively across all populations, and how they can guide clinical decision-making, has been a challenge.

Now, a team of researchers at the ӳ��ý of MIT and Harvard, in collaboration with 10 academic medical centers across the US, has implemented 10 such tests for use in clinical research. In a study published today in Nature Medicine, the team outlined how they selected, optimized, and validated the tests for 10 common diseases, including heart disease, breast cancer, and type 2 diabetes. They also calibrated the tests for use in people with non-European ancestries.

The scientists worked in collaboration with the national Electronic Medical Records and Genomics (eMERGE) network, which is funded by the National Human Genome Research Institute to study how patients’ genetic data can be integrated with their electronic medical records to improve clinical care and health outcomes. The 10 collaborating medical centers are part of the project and enrolling 25,000 participants for it, while researchers at ӳ��ý Clinical Labs, a subsidiary of the ӳ��ý, carry out the polygenic risk score testing for those participants.

“There have been a lot of ongoing conversations and debates about polygenic risk scores and their utility and applicability in the clinical setting,” said Niall Lennon, chief scientific officer of ӳ��ý Clinical Labs, an institute scientist at ӳ��ý, and first author of the new paper. “With this work, we’ve taken the first steps toward showing the potential strength and power of these scores across a diverse population. We hope in the future this kind of information can be used in preventive medicine to help people take actions that lower their risk of disease.”

What’s the score?

Most polygenic risk scores have been developed based on genetic data largely from people of European ancestry, raising questions about whether the scores are applicable to people of other ancestries.

To optimize polygenic risk scores for a diversity of people, Lennon and his colleagues first combed the literature looking for polygenic risk scores that had been tested in people from at least two different genetic ancestries. They also searched for scores that indicate a disease risk that patients could reduce with medical treatments, screening, and/or lifestyle changes.

“It was important that we weren’t giving people results that they couldn’t do anything about,” said Lennon.

The team selected 10 conditions to focus on for polygenic risk scores: atrial fibrillation, breast cancer, chronic kidney disease, coronary heart disease, hypercholesterolemia, prostate cancer, asthma, type 1 diabetes, obesity, and type 2 diabetes.

For each condition, the researchers identified the exact spots in the genome that they would analyze to calculate the risk score. They verified that all those spots could be accurately genotyped, by comparing the results of their tests with whole genome sequences from each patient’s blood sample.

Finally, the researchers wanted to make polygenic risk scores work across different genetic ancestries. They studied how genetic variants differ across populations by analyzing data from the National Institutes of Health’s All of Us research program, which is collecting health information from one million people from diverse backgrounds across the U.S. The team used that information to create a model to calibrate a person’s polygenic risk score according to that individual’s genetic ancestry.

“We can’t fix all biases in the risk scores, but we can make sure that if a person is in a high-risk group for a disease, they’ll get identified as high risk regardless of what their genetic ancestry is,” explained Lennon.

With that optimization complete, Lennon’s team at ӳ��ý Clinical Labs ended up with 10 tests that they are now using to calculate risk scores for the 25,000 people enrolled in the eMERGE study. With their eMERGE collaborators, they are also planning detailed follow-up studies to analyze how polygenic risk scores might influence patients’ health care.

“Ultimately, the network wants to know what it means for a person to receive information that says they’re at high risk for one of these diseases,” Lennon said.

Funding

This phase of the eMERGE Network was initiated and funded by the National Human Genome Research Institute.

Paper cited:

Lennon, NJ. et al. Selection, optimization, and validation of ten chronic disease polygenic risk scores for clinical implementation in diverse populations. Nature Medicine. Online February 19, 2024. DOI: 10.1038/s41591-024-02796-z

Tags:

ӳ��ý Clinical Labs

Using genomics to predict disease risk

A scientist devotes her career to tackling inequity in genomics

adicorat — Mon, 10 Jul 2023 15:00:00 +0000

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

By Corie Lok February 19, 2024

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

By Sarah C.P. Williams

February 19, 2024

What’s the score?

Most polygenic risk scores have been developed based on genetic data largely from people of European ancestry, raising questions about whether the scores are applicable to people of other ancestries.

“It was important that we weren’t giving people results that they couldn’t do anything about,” said Lennon.

“Ultimately, the network wants to know what it means for a person to receive information that says they’re at high risk for one of these diseases,” Lennon said.

Funding

This phase of the eMERGE Network was initiated and funded by the National Human Genome Research Institute.

Paper cited:

Tags:

ӳ��ý Clinical Labs

Using genomics to predict disease risk

More diverse datasets lead to better genetic risk prediction for heart disease

leah@broadinstitute.org — Thu, 06 Jul 2023 15:00:00 +0000

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

By Corie Lok February 19, 2024

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

By Sarah C.P. Williams

February 19, 2024

What’s the score?

Most polygenic risk scores have been developed based on genetic data largely from people of European ancestry, raising questions about whether the scores are applicable to people of other ancestries.

“It was important that we weren’t giving people results that they couldn’t do anything about,” said Lennon.

“Ultimately, the network wants to know what it means for a person to receive information that says they’re at high risk for one of these diseases,” Lennon said.

Funding

This phase of the eMERGE Network was initiated and funded by the National Human Genome Research Institute.

Paper cited:

Tags:

ӳ��ý Clinical Labs

Using genomics to predict disease risk

Rare genetic variants can reveal much about disease biology

tulrich@broadinstitute.org — Wed, 08 Feb 2023 22:39:07 +0000

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

By Corie Lok February 19, 2024

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

By Sarah C.P. Williams

February 19, 2024

What’s the score?

Most polygenic risk scores have been developed based on genetic data largely from people of European ancestry, raising questions about whether the scores are applicable to people of other ancestries.

“It was important that we weren’t giving people results that they couldn’t do anything about,” said Lennon.

“Ultimately, the network wants to know what it means for a person to receive information that says they’re at high risk for one of these diseases,” Lennon said.

Funding

This phase of the eMERGE Network was initiated and funded by the National Human Genome Research Institute.

Paper cited:

Tags:

ӳ��ý Clinical Labs

Using genomics to predict disease risk

ӳ��ý Discovery Center in Cambridge opens to the public this October

kzusi@broadinstitute.org — Mon, 19 Sep 2022 14:53:09 +0000

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

By Corie Lok February 19, 2024

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

By Sarah C.P. Williams

February 19, 2024

What’s the score?

Most polygenic risk scores have been developed based on genetic data largely from people of European ancestry, raising questions about whether the scores are applicable to people of other ancestries.

“It was important that we weren’t giving people results that they couldn’t do anything about,” said Lennon.

“Ultimately, the network wants to know what it means for a person to receive information that says they’re at high risk for one of these diseases,” Lennon said.

Funding

This phase of the eMERGE Network was initiated and funded by the National Human Genome Research Institute.

Paper cited:

Tags:

ӳ��ý Clinical Labs

Using genomics to predict disease risk

A tool for more accurate disease risk prediction across diverse populations

tulrich@broadinstitute.org — Thu, 05 May 2022 18:00:00 +0000

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

By Corie Lok February 19, 2024

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

By Sarah C.P. Williams

February 19, 2024

What’s the score?

Most polygenic risk scores have been developed based on genetic data largely from people of European ancestry, raising questions about whether the scores are applicable to people of other ancestries.

“It was important that we weren’t giving people results that they couldn’t do anything about,” said Lennon.

“Ultimately, the network wants to know what it means for a person to receive information that says they’re at high risk for one of these diseases,” Lennon said.

Funding

This phase of the eMERGE Network was initiated and funded by the National Human Genome Research Institute.

Paper cited:

Tags:

ӳ��ý Clinical Labs

Using genomics to predict disease risk

New genetic test for heart attack risk launched for patients at Mass General

AnnaFiorentinoWriter — Wed, 27 Jan 2021 18:29:13 +0000

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

By Corie Lok February 19, 2024

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

By Sarah C.P. Williams

February 19, 2024

What’s the score?

Most polygenic risk scores have been developed based on genetic data largely from people of European ancestry, raising questions about whether the scores are applicable to people of other ancestries.

“It was important that we weren’t giving people results that they couldn’t do anything about,” said Lennon.

“Ultimately, the network wants to know what it means for a person to receive information that says they’re at high risk for one of these diseases,” Lennon said.

Funding

This phase of the eMERGE Network was initiated and funded by the National Human Genome Research Institute.

Paper cited:

Tags:

ӳ��ý Clinical Labs

Using genomics to predict disease risk

A Schizophrenia Study in Africa is Boosting Equity in Global Genetics Research

tulrich@broadinstitute.org — Thu, 08 Oct 2020 04:00:00 +0000

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

By Corie Lok February 19, 2024

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

By Sarah C.P. Williams

February 19, 2024

What’s the score?

Most polygenic risk scores have been developed based on genetic data largely from people of European ancestry, raising questions about whether the scores are applicable to people of other ancestries.

“It was important that we weren’t giving people results that they couldn’t do anything about,” said Lennon.

“Ultimately, the network wants to know what it means for a person to receive information that says they’re at high risk for one of these diseases,” Lennon said.

Funding

This phase of the eMERGE Network was initiated and funded by the National Human Genome Research Institute.

Paper cited:

Tags:

ӳ��ý Clinical Labs

Using genomics to predict disease risk

Genetic information can predict predisposition to rare and common blood diseases

tulrich@broadinstitute.org — Thu, 03 Sep 2020 15:46:52 +0000

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

By Corie Lok February 19, 2024

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

By Sarah C.P. Williams

February 19, 2024

What’s the score?

Most polygenic risk scores have been developed based on genetic data largely from people of European ancestry, raising questions about whether the scores are applicable to people of other ancestries.

“It was important that we weren’t giving people results that they couldn’t do anything about,” said Lennon.

“Ultimately, the network wants to know what it means for a person to receive information that says they’re at high risk for one of these diseases,” Lennon said.

Funding

This phase of the eMERGE Network was initiated and funded by the National Human Genome Research Institute.

Paper cited:

Tags:

ӳ��ý Clinical Labs

Using genomics to predict disease risk

Genetic background influences disease risk from single-gene variants

Corie Lok — Thu, 20 Aug 2020 13:45:30 +0000

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

By Corie Lok February 19, 2024

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

By Sarah C.P. Williams

February 19, 2024

What’s the score?

Most polygenic risk scores have been developed based on genetic data largely from people of European ancestry, raising questions about whether the scores are applicable to people of other ancestries.

“It was important that we weren’t giving people results that they couldn’t do anything about,” said Lennon.

“Ultimately, the network wants to know what it means for a person to receive information that says they’re at high risk for one of these diseases,” Lennon said.

Funding

This phase of the eMERGE Network was initiated and funded by the National Human Genome Research Institute.

Paper cited:

Tags:

ӳ��ý Clinical Labs

Using genomics to predict disease risk

Using genomics to predict disease risk

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

What’s the score?

A scientist devotes her career to tackling inequity in genomics

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

What’s the score?

More diverse datasets lead to better genetic risk prediction for heart disease

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

What’s the score?

Rare genetic variants can reveal much about disease biology

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

What’s the score?

ӳ����ý Discovery Center in Cambridge opens to the public this October

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

What’s the score?

A tool for more accurate disease risk prediction across diverse populations

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

What’s the score?

New genetic test for heart attack risk launched for patients at Mass General

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

What’s the score?

A Schizophrenia Study in Africa is Boosting Equity in Global Genetics Research

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

What’s the score?

Genetic information can predict predisposition to rare and common blood diseases

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

What’s the score?

Genetic background influences disease risk from single-gene variants

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

Genetic risk prediction for 10 chronic diseases moves closer to the clinic

What’s the score?

ӳ��ý Discovery Center in Cambridge opens to the public this October