This study will focus on women who are pregnant when they enroll, or become pregnant during the study, in order to follow their infants from birth to 8 years of age to determine trajectories of growth over time and identify genomic and epigenomic factors related to development of obesity. Critical to obtaining this information will be the review of Electronic Health Records of providers who have the correct measuring... more »

An annual blood test with analysis of methylation sites from key epigenetic aging clocks (e.g. Horvath). Epigenetic aging clocks have already been shown to reliably predict age, time-to-death, all cause mortality, cog. function, immune function, CV disease, cancer, and more. They may also become a key tool to demonstrate the reversibility of disease risk through dietary and therapeutic regimens, as epigenetic states are... more »

This study will focus on women who are pregnant at enrollment or become pregnant during the study and the offspring of observed pregnancies. The information will help to define genetic and epigenetic predictors of long-term effects of common pregnancy complications.

This study will focus on the entire cohort across the reproductive lifespan (ages 12-55) collecting data on fertility (time to conception) and pregnancy loss. Additional data will include factors believed to be indicators of fertility as determined by questionnaire, blood tests, factors believed to negatively impact fertility, and genetic/epigenetic data that together may provide new targets for understanding oocyte depletion,... more »

This study will focus on the entire cohort (menarche through lifespan) to collect data on general health and wellbeing as well as detailed pregnancy & delivery histories. Activity level will be monitored, specifying any straining associated with either physical activity or occupation. Genetic/epigenetic factors, such as family history of POP or connective tissue disorders will be obtained, as will data on other currently... more »

Given the limited effects of current interventions to prevent preterm birth, it seems likely that the stage for adverse pregnancy outcomes is set even before the pregnancy begins. The All of Us cohort, if sufficient reproductive-aged women are enrolled, would be in a position to examine social, behavioral, medical, and biological/molecular predictors of preterm birth and its subtypes.

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.

N/A

Charcot-Marie-Tooth disease (CMT) is one of the most common inherited neurological disorders, affecting approximately 1 in 2,500 people in the United States. Since 1991, 90 different genes causing CMT subtypes have been identified, but the severity of the disease can vary even among families with the same genetic variant. Disease-modifying genes, epigenetics, mitochondrial involvement, exercise levels, diet, and environmental... more »

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 »

I think the root cause of the obesity epidemics in the Mid-South USA is linked to the NUTRIENT POLLUTION OF THE OHIO-MISSISSIPPI RIVER BASIN, in particular the run off of agricultural fertilizers (nutrient enrichment). These rivers run across the states most affected by obesity. I recommend to measure environmental exposures - chemical (i.e. phosphorus) and biological toxins (i.e. microsystin, cyanotoxins) and measure... more »

1. Identify patients with a diagnosis of arachnoiditis or low back pain with radiculopathy

2. Examine genetic variants, and gene expression and epigenetic status of respective genes

3. Determine if a genetic relationship among respective patient community

Using biospecimens of persons of varying ages, characterize exposure to environmental chemicals and metals over time and conduct omics studies to identify the functional mechanism of observed health effects - gene expression, metabolomics, epigenetics and genetic variants. Most important, have a plan for integrating the findings of these various studies.

Are there depression (MDD) phenotypes that have different genomic, biological, and psychological underpinnings, which we should be treating differently? Utilize an acute post-MI sample stratified by non-MDD, prior history of MDD, or new MDD. Then stratify all MDD by treated-success-MDD, treatment-resistant depression, and not treated. Examine mortality and cardiovascular event recurrence among non-MDD and MDD types,... more »

Obesity and breast cancer are leading cause of morbidity and mortality. Evidence strongly suggests that certain periods of life, including those during fetal development and pregnancy, influence risk of breast cancer later in life. Environmental chemicals may increase breast cancer risk-especially during pregnancy-by mimicking estrogen and other hormones. Epigenomic signatures present in the placenta uniquely capture... more »