Troels Ring
2017-Oct-27 13:16 UTC
[R] genetics: backward haplotype transmission association algorithm
Dear friends - a couple of papers in PNAS (lastly:framework for making better predictions by directly estimating variables' predictivity, Lo et al PNAS 2016; 113:14277-14282) have focused interest on mapping complex traits to multiple loci spread all over the genome. I have been around on the relevant taskview(s) I hope but fail to see that the backward haplotype transmission association algorithm (BHTA) first described by the authors in Hum Hered 2002; 53: 197-215. I wonder whether the algorithm has been implemented in R - primarily I ask since I fail to understand exactly how the algorithm works and thought R code would help there. All best wishes Troels Ring Aalborg, Denmark
Bert Gunter
2017-Oct-27 14:38 UTC
[R] genetics: backward haplotype transmission association algorithm
You may get lucky here, but I recommend that you post this instead on the Bioconductor list, which is exactly concerned with such things. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Fri, Oct 27, 2017 at 6:16 AM, Troels Ring <tring at gvdnet.dk> wrote:> Dear friends - a couple of papers in PNAS (lastly:framework for making > better predictions by directly estimating variables' predictivity, Lo et al > PNAS 2016; 113:14277-14282) have focused interest on mapping complex traits > to multiple loci spread all over the genome. I have been around on the > relevant taskview(s) I hope but fail to see that the backward haplotype > transmission association algorithm (BHTA) first described by the authors in > Hum Hered 2002; 53: 197-215. I wonder whether the algorithm has been > implemented in R - primarily I ask since I fail to understand exactly how > the algorithm works and thought R code would help there. > > All best wishes > > Troels Ring > Aalborg, Denmark > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posti > ng-guide.html > and provide commented, minimal, self-contained, reproducible code. >[[alternative HTML version deleted]]