Methods of Statistical Analysis ofDNA Sequence Data for Studies Relating Variation to Disease (R01)

The summary for the Methods of Statistical Analysis ofDNA Sequence Data for Studies Relating Variation to Disease (R01) grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the National Institutes of Health, which is the U.S. government agency offering this grant.

Methods of Statistical Analysis ofDNA Sequence Data for Studies Relating Variation to Disease (R01): -Purpose. This Funding Opportunity Announcement (FOA) will encourage the development of novel methods of statistical analysis of DNA sequence data in studies that aim to relate genetic variation to disease. Areas of interest include, but are not limited to, designing sequencing studies and statistical methods for relating the variation to phenotype; assessing the significance of the associations; incorporating population genetic factors such as population history, admixture, and natural selection; and finding sets of variants that may include functional variants. -Mechanism of Support. This FOA will use the NIH Research Project Grant (R01) award mechanism. -Funds Available and Anticipated Number of Awards. The NIH has committed $2 million total costs in FY 2008 ($6 million over the total project period of three years) to fund applications in response to this FOA.Five to six awards are anticipated to be funded under this FOA, at up to $250,000 direct costs per year per award, plus applicable Facilities and Administrative (F and A) costs. Awards issued under this FOA are contingent upon the availability of funds and the submission of a sufficient number of meritorious applications. The total project period for an application submitted in response to this FOA may be up to three years.

Federal Grant Title:	Methods of Statistical Analysis ofDNA Sequence Data for Studies Relating Variation to Disease (R01)
Federal Agency Name:	National Institutes of Health
Grant Categories:	Health
Type of Opportunity:	Discretionary
Funding Opportunity Number:	RFA-MH-08-040
Type of Funding:	Grant
CFDA Numbers:	93.242
CFDA Descriptions:	Mental Health Research Grants
Current Application Deadline:	No deadline provided
Original Application Deadline:	Sep 21, 2007
Posted Date:	Jun 21, 2007
Creation Date:	Sep 14, 2007
Archive Date:	Feb 08, 2008
Total Program Funding:	$2,000,000
Maximum Federal Grant Award:
Minimum Federal Grant Award:
Expected Number of Awards:
Cost Sharing or Matching:	No

Applicants Eligible for this Grant: Private institutions of higher education Native American tribal organizations (other than Federally recognized tribal governments) Public housing authorities/Indian housing authorities For profit organizations other than small businesses State governments Native American tribal governments (Federally recognized) Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Others (see text field entitled "Additional Information on Eligibility" for clarification) Public and State controlled institutions of higher education Small businesses Independent school districts County governments Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Special district governments City or township governments
Additional Information on Eligibility: Foreign institutions are eligible to apply. Eligible agencies of the Federal Government can apply.
Link to Full Grant Announcement: Information not provided
Grant Announcement Contact: NIH OER Webmaster
[email protected]
[email protected] If you have any problems linking to this funding announcement, please contact the NIH OER Webmaster
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