Novel statistical methods for human gene expression quantitative trait loci (eQTL) analysis (R01)

Post Date

April 1st 2009

Application Due Date

September 16th 2009

Funding Opportunity Number

RFA-RM-09-006

CFDA Number(s)

93.310

Funding Instrument Type(s)

Grant

Funding Activity Categories

Health

Eligibility Categories

Public and State Controlled Institutions of Higher Education
Non-Profits With 501 (c) (3) Status With The IRS (Except Higher Education Institutions)
Non-Profits Without 501 (c) (3) Status With The IRS (Except Higher Education Institutions)
Private Institutions of Higher Education
For-Profit Organizations (Except Small Businesses)
Small Businesses
Other

Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Eligible Agencies of the Federal Government; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Non-domestic (non-U.S.) Entities (Foreign Organizations); Tribally Controlled Colleges and Universities (TCCUs) .

Funding

• Estimated Total Funding:

  $1000000

• Award Range:

  $None - $300000

Grant Description

Purpose. This FOA solicits applications to develop innovative statistical methods to detect the influence of genetic variation on tissue-specific gene expression and regulation. The goal of the FOA is to seek proposals to develop statistical methods to appropriately analyze the forthcoming complex data sets generated by the NIH Roadmap initiative entitled Genotype-Tissue Expression (GTEx) Project. Applicants are encouraged to take advantage of existing tissue-specific gene expression datasets and/or simulated datasets, but will also be strongly encouraged to utilize GTEx-generated data, if and when it is available.

Contact Information

• Agency

  Department of Health and Human Services

• Office:

  National Institutes of Health

• Agency Contact:

  NIH OER Webmaster
  FBOWebmaster@OD.NIH.GOV
  

• Agency Mailing Address:

  If you have any problems linking to this funding announcement, please contact the NIH OER Webmaster

• Agency Email Address:

  FBOWebmaster@OD.NIH.GOV

• More Information:

  http://grants.nih.gov/grants/guide/rfa-files/RFA-RM-09-006.html