Showing 8 ideas for tag "genomics"
(@alan.sanders.md) kudos icon +

AoU Research Priorities Use Cases

Which genetic and environmental factors contribute to sexual orientation, and related health conditions?

Gays, lesbians, and bisexuals are underrepresented in biomedical research. While much relevant data is already planned for collection by AllofUs, additional or elaborated measures (see "data items") would help in seeking new leads and advancing work on pre-existing questions in the field. These items include sociodemographic (e.g., trait information), clinical (various associated conditions), and biological (genomic,... more »

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30 votes
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(@jsmoller) kudos icon +

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How can we predict and prevent suicide and suicidal behavior?

Suicide is a leading cause of death and rates have not decreased in decades. Currently there are no established risk factors that have demonstrated usefulness in predicting individual risk. The All of Us program is in a position to change this by leveraging the large and varied data that will be collected. Making progress in this area would be a major advance and could have a tremendous impact on the suffering that individuals... more »

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28 votes
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(@rkchang) kudos icon +

AoU Research Priorities Use Cases

Electrocardiogram (ECG) and genomics in predicting coronary heart disease, MI, arrhythmia, stroke and sudden cardiac death

Electrocardiogram (ECG) is the most commonly used test to check on heart health and screen for heart disease. Medical standard 12-lead ECG holds a lot of information about the heart, which together with genomic data have the potential to predict which patients will develop coronary heart disease, myocardial infarction (MI), arrhythmia, stroke and sudden cardiac death. With 1 million people's ECG and genomic data, together... more »

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17 votes
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(@ben.dorshorst) kudos icon +

AoU Research Priorities Use Cases

Is there a genetic component to conditions such as fibromyalgia, chronic pain, chronic fatigue, anxiety and depression?

Utilize existing health records, genomic and epigenomic data to identify factors that predispose or are otherwise associated with the conditions of fibromyalgia, chronic pain, chronic fatigue, anxiety and depression.

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22 votes
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(@haraneta) kudos icon +

AoU Research Priorities Use Cases

Do genomic, epigenetic, and metabolomic characteristics explain the excess risk of type 2 diabetes (T2D) in Asian-Americans?

California data shows T2D prevalence is higher among Pacific Islanders, Filipinos and South Asians, compared to Latinos, African-Americans, and Native Americans; further, Chinese, Japanese, and Koreans in California have a 50% higher risk of T2D compared to Whites. High throughput technologies, including metabolomics and genomics could provide valuable insight regarding the etiology of T2D disease mechanisms, and novel... more »

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9 votes
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(@maria.spletter) kudos icon +

AoU Research Priorities Use Cases

Does data from deep sequencing tumors (personalized medicine) allow for targeted treatment and better survival of patients?

1. Divide "cancer" into multiple classes (ie breast, lung, pancreatic, etc.) and sequence tumors from 50-100 patients undergoing treatment. As with breast cancer, identify markers aligning with specific treatments and outcomes.
2. Perform the "clinical" trial. Use the deep sequencing as a diagnostic to aid in planning the treatment for a set of 50-100 patients for a given type of cancer. Track the outcomes: survival time,... more »

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5 votes
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(@ssr4n0) kudos icon +

AoU Research Priorities Use Cases

Understanding the pathogenesis of type 1 diabetes

Use a case-cohort study, identifying cases through the EHS system and confirming through a variety of clinical laboratory tests. We know little about the genetic basis of T1D in African-ancestry (non-white) populations or T1D with onset in adulthood, These data would also provide insights on the rates and types of complications that may differ between adult-onset T1D and childhood-onset T1D.

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8 votes
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(@mechanil) kudos icon +

AoU Research Priorities Use Cases

How do genomic, biological, environmental and societal factors combine to contribute to disease risk?

Complex diseases are a result of a complex interplay of genetic, environmental, host and societal factors operating over a prolonged time. Many factors associated with disease onset or progression have been elucidated using a silo-ed approach which fails to adequately assess interplay between factors. Longitudinal measures and more sophisticated analytical methods are needed to support comprehensive (e.g. systems or computational... more »

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2 votes
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