FBAT Team
(alphabetical order)
Gourab De, Julian Hecker, Steve Horvath, Nan Laird, Steve Lake, Christoph Lange, Sharon Lutz, Kristel Van Steen, Lin Wang, Wai-Ki Yip, Xin Xu, and Jin Jin Zhou
FBAT
FBAT provides the software implementation for several family-based association tests. The FBAT package was developed in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health.
FBAT v208 --Family Based Association Testing software (Linux executable, 64 bit, region-based extension "gen_rv", development version)
FBAT v204 --Family Based Association Testing software (Linux executable, 64 bit, before region-based extension, stable version)
FBAT User's Manual (current version does not cover new region-based methodology)
fbat-tour -- example files I
FBAT example ped file -- example file containing 1000 trios and 30 variants
FBAT source code is available on GitHub: https://github.com/FBATsw/FBAT under the GNU General Public License v3.0.
FBAT manual needs to be updated to describe the new region-based association methodology. Essentially, the new methodology is implemented in the command "gen_rv". The general structure is the same as for the old Burden test approach "fbat -v0" and "fbat -v1".
caution: The website https://sites.google.com/view/fbat-web-page is outdated and will be offline soon.
Boston, October 2023
If you publish results obtained from using FBAT, please cite:
Laird NM, Lange C. Family-based designs in the age of large-scale gene-association studies. Nat Rev Genet. 2006 May;7(5):385-94. doi: 10.1038/nrg1839. PMID: 16619052.
Horvath S, Xu X, Lake SL, Silverman EK, Weiss ST, Laird NM. Family-based tests for associating haplotypes with general phenotype data: application to asthma genetics. Genet Epidemiol. 2004 Jan;26(1):61-9. doi: 10.1002/gepi.10295. PMID: 14691957.
Hecker J, Xu X, Townes FW, Loehlein Fier H, Corcoran C, Laird N, Lange C. Family-based tests for associating haplotypes with general phenotype data: Improving the FBAT-haplotype algorithm. Genet Epidemiol. 2018 Feb;42(1):123-126. doi: 10.1002/gepi.22094. Epub 2017 Nov 21. PMID: 29159827; PMCID: PMC5774664.
Please contact fbat.helpdesk@gmail.com for suggestions and bug reports.