Lan Jiang

Vanderbilt University Medical Center

5 active projects

Duplicate of How to Work with All of Us Genomic Data (Hail - Plink)(v6)

Not applicable - these notebooks demonstrate example analysis how to use Hail and PLINK to perform genome-wide association studies using the All of Us genomic data and phenotypic data.

Scientific Questions Being Studied

Not applicable - these notebooks demonstrate example analysis how to use Hail and PLINK to perform genome-wide association studies using the All of Us genomic data and phenotypic data.

Project Purpose(s)

  • Other Purpose (Demonstrate to the All of Us Researcher Workbench users how to get started with the All of Us genomic data and tools. It includes an overview of all the All of Us genomic data and shows some simple examples on how to use these data.)

Scientific Approaches

Not applicable - these notebooks demonstrate example analysis how to use Hail and PLINK to perform genome-wide association studies using the All of Us genomic data and phenotypic data.

Anticipated Findings

Not applicable - these notebooks demonstrate example analysis how to use Hail and PLINK to perform genome-wide association studies using the All of Us genomic data and phenotypic data.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

  • Lan Jiang - Other, Vanderbilt University Medical Center

Duplicate of How to Work with All of Us Genomic Data (Hail - Plink)(v6)

Not applicable - these notebooks demonstrate example analysis how to use Hail and PLINK to perform genome-wide association studies using the All of Us genomic data and phenotypic data.

Scientific Questions Being Studied

Not applicable - these notebooks demonstrate example analysis how to use Hail and PLINK to perform genome-wide association studies using the All of Us genomic data and phenotypic data.

Project Purpose(s)

  • Other Purpose (Demonstrate to the All of Us Researcher Workbench users how to get started with the All of Us genomic data and tools. It includes an overview of all the All of Us genomic data and shows some simple examples on how to use these data.)

Scientific Approaches

Not applicable - these notebooks demonstrate example analysis how to use Hail and PLINK to perform genome-wide association studies using the All of Us genomic data and phenotypic data.

Anticipated Findings

Not applicable - these notebooks demonstrate example analysis how to use Hail and PLINK to perform genome-wide association studies using the All of Us genomic data and phenotypic data.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

  • Lan Jiang - Other, Vanderbilt University Medical Center
  • Jun Qian - Other, All of Us Program Operational Use
  • Jennifer Zhang - Project Personnel, All of Us Program Operational Use
  • Will Dolbeer - Other, All of Us Program Operational Use

Collaborators:

  • Henry Condon - Project Personnel, All of Us Program Operational Use

Genetics of infections and sepsis

Sepsis, an outcome of severe infection, is present in 30-50% of hospitalizations that culminate in death and is the single most expensive medical condition, accounting for 13% of total US hospital costs. There is marked inter-individual variability in susceptibility to…

Scientific Questions Being Studied

Sepsis, an outcome of severe infection, is present in 30-50% of hospitalizations that culminate in death and is the single most expensive medical condition, accounting for 13% of total US hospital costs. There is marked inter-individual variability in susceptibility to infection and progression to sepsis and death. Susceptibility to infection is highly heritable, likely due to major selection pressure over millennia when infection was the leading cause of death, and no effective treatments existed. Surprisingly, there is almost no large-scale information about the genetic determinants of 1) severe infection, 2) sepsis, and 3) death from sepsis.

Project Purpose(s)

  • Population Health
  • Ancestry

Scientific Approaches

We will identify individuals with infection and matched controls without infection. Within the cohort of patients with infection, we will identify those who developed sepsis and who died in the hospital. We will apply genetic approaches to identify the genetic determinants of susceptibility to severe infection, sepsis and its most serious complication, death.

Anticipated Findings

Findings from the proposed study will define the underlying mechanisms of sepsis and may reveal new candidates for early detection, prevention, and treatment of the progression from infection to sepsis and from sepsis to death.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age

Data Set Used

Controlled Tier

Research Team

Owner:

  • QiPing Feng - Early Career Tenure-track Researcher, Vanderbilt University Medical Center
  • Lan Jiang - Other, Vanderbilt University Medical Center

Genetics and Triglycerides

Coronary heart disease (CHD) accounts for 1 in 7 deaths in the US and 8.2 million Americans ≥20 years old have CHD. Despite intensive treatment to lower low-density lipoprotein cholesterol (LDL-C), CHD remains the leading cause of death in the…

Scientific Questions Being Studied

Coronary heart disease (CHD) accounts for 1 in 7 deaths in the US and 8.2 million Americans ≥20 years old have CHD. Despite intensive treatment to lower low-density lipoprotein cholesterol (LDL-C), CHD remains the leading cause of death in the US. Plasma triglyceride (TG) levels are a strong predictor for CHD even after LDL-C lowering. The status quo is that most TG-lowering drugs in development focus on the LPL pathway--we need to identify new TG targets in other pathways.

Project Purpose(s)

  • Ancestry

Scientific Approaches

We will identify individuals with Triglycerides (TG) measurement and genetic information. We will conduct genetic analyses to identify novel genetic variants that associated with TG levels.

Anticipated Findings

We anticipate identifying novel genes associated with TGs. These findings will further our understanding of TG regulation and may lead to novel TG-lowering targets.

Demographic Categories of Interest

  • Race / Ethnicity

Data Set Used

Registered Tier

Research Team

Owner:

  • QiPing Feng - Early Career Tenure-track Researcher, Vanderbilt University Medical Center
  • Lan Jiang - Other, Vanderbilt University Medical Center

Duplicate of How to Work with All of Us Genomic Data (Hail - Plink)(v6)

Not applicable - these notebooks demonstrate example analysis how to use Hail and PLINK to perform genome-wide association studies using the All of Us genomic data and phenotypic data.

Scientific Questions Being Studied

Not applicable - these notebooks demonstrate example analysis how to use Hail and PLINK to perform genome-wide association studies using the All of Us genomic data and phenotypic data.

Project Purpose(s)

  • Other Purpose (Demonstrate to the All of Us Researcher Workbench users how to get started with the All of Us genomic data and tools. It includes an overview of all the All of Us genomic data and shows some simple examples on how to use these data.)

Scientific Approaches

Not applicable - these notebooks demonstrate example analysis how to use Hail and PLINK to perform genome-wide association studies using the All of Us genomic data and phenotypic data.

Anticipated Findings

Not applicable - these notebooks demonstrate example analysis how to use Hail and PLINK to perform genome-wide association studies using the All of Us genomic data and phenotypic data.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

  • Lan Jiang - Other, Vanderbilt University Medical Center
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