15:03:00 RRSAgent has joined #hcls 15:03:00 logging to http://www.w3.org/2012/10/11-hcls-irc 15:05:06 BobF has joined #HCLS 15:06:01 zakim, this is hcls 15:06:01 ok, matthias_samwald; that matches SW_HCLS()11:00AM 15:06:06 zakim, who is here 15:06:07 matthias_samwald, you need to end that query with '?' 15:06:11 zakim, who is here? 15:06:11 On the phone I see Bob_Powers, [IPcaller], Tony, michel 15:06:14 On IRC I see BobF, RRSAgent, Zakim, matthias_samwald, michel, bobP, MacTed, ericP 15:06:27 Meeting: W3C HCLS – Clinical Decision Support 15:06:37 Chair: Matthias Samwald 15:06:53 scribenick: Michel 15:07:03 AMIA submission 15:07:22 matthias: put down ideas on a google doc 15:07:35 hey, i can scribe 15:07:37 https://docs.google.com/file/d/0ByGT-vnkGcoLSkhzVDRYd2x6bkU/edit 15:07:58 +[GVoice] 15:08:00 scribenick: bobP 15:08:27 Matthias: Suggestion by Bob Freimuth to look into immunogenetics 15:09:01 ... AMIA page is limited to one page, tried to squeeze 15:09:31 ... feedback +1 from Michel 15:09:35 +[IPcaller.a] 15:09:47 ... (reading... :) 15:10:56 ... some PGx related developments in G-group 15:11:18 ... we should move these discussions to hcls 15:11:22 Michel: +1 15:11:55 Michel: also +1 on one-pager for AMIA 15:12:16 ... "very well done" 15:13:39 Michel, Matthias discussing .doc commenting on G-drive 15:14:08 BobF: "This is well written" and plenty of material 15:14:29 ... do we have a comprehensive dataset that can be mined 15:14:53 mscottm has joined #hcls 15:15:06 ... confirm, that we have an example, w/o convering everything? 15:15:07 +mscottm 15:15:25 Matthias: We have converted clincally relevent subsets 15:15:29 +harryh 15:15:44 ... for PGx, focus on (?) for genes 15:16:07 ... plus PharmaGKB clinically relevant SNPs 15:16:24 ... plus Michel has a selection for conversion to RDF 15:16:25 harryh has joined #HCLS 15:16:42 Michel: SNPs have been converted. 15:16:57 BobF: Focus is large :) 15:17:31 Michel: We can provide data for SNPs and phenotypic datatypes 15:17:45 ... would like to get reasoning going over these data 15:18:18 BobF: Given this scope, wording is +1 15:18:41 Matthias: Will do minor edits w feedback and submit 15:18:51 BobF: Thanks! 15:21:58 Matthias: Agenda: Potential use case of immunogenetics 15:22:31 ... IGx might indeed be an addional use case w PGx 15:23:01 ... IGx small number of genes 3-10 from human leukocyte antigen genes 15:23:15 ... few, but high variety of sequences 15:23:36 ... almost every nucleotide can vary 15:24:06 ... BobF can we infer alleles? 15:24:54 ... still looking; would be interesting to see how our approach could work here 15:25:37 BobF: IGx came to me from NMDP Nat'l Marrow Donor Program 15:26:05 ... central for bone marrow and HLA typing, 1M patients/year 15:26:44 ... tech challenge w HLA is interesting, less than a dozen, pseudogenes etc, are designed to be highly variable 15:26:56 ... tremendous genetic variability 15:27:13 ... throw this on everyone's radar 15:27:41 ... post-translational mod, regulation, how they dimerize on cell surface 15:27:59 ... translplant scenerio has to account for all of this 15:28:33 ... NMDP came to Mayo for data modeling, w flexibility and manage thru time 15:29:04 ... one of issues is that seq tech is improving, moved into whole geneome, next-gen 15:29:21 ... impact on def of alleles becomes now quite complicated 15:29:35 ... no longer talking about one or two wrt ref seq 15:29:48 ... but dozens of variants 15:30:05 ... the *allele nomenclature will not scale to this challenge 15:30:35 ... now faced w data integration w patients w missing, old data 15:30:55 ... so open world assumption may fill this 15:31:10 ... algorithms for matches may need this 15:31:33 ... IGx suited in many ways for semweb. How to proceed? 15:32:17 Scott: Harkening back, part of project in IGx, French group doing xml 15:32:50 ... group had lots of interesting IGx xml 15:33:08 ... data are threre, but how to harvest as semweb 15:33:46 ... should we start a KB from this legacy? 15:34:04 BobF: Novel alleles are being discovered going forward 15:34:36 ... challenges in enumerating alleles: can have indel events and other re-arrangements that make things *really* complicated 15:34:50 ... canonical approaches will not cover the space 15:35:18 ... emphasize that challenge comes from next-gen seq, novel variants at extremely large scale 15:35:43 ... how to store + go back and interpret in a phenotypically relevant way 15:36:16 BobF: NMDP has invited me down to workshop 15:36:37 ... dedicated to developing datastandards for next-gen 15:37:07 ... lots of vendors, there will be an ongoing effort by the group 15:37:16 example of a full HLA sequence http://www.ebi.ac.uk/cgi-bin/imgt/hla/get_allele.cgi?B*15:15 15:37:45 ... scope of standards, from metadata, to more intricate governance over data changing monthly 15:38:37 ... lots of the right people and stakeholders, gravitating to traditional approaches :{ 15:38:50 Michel: An opportunity :) 15:39:17 BobF: We could have a dramatic impact on how this community functions. 15:39:50 bobP: (asking the right question is the most important step :) 15:40:00 http://www.ebi.ac.uk/imgt/hla/ambig.html 15:40:28 Matthias: Seq above 1089 nucleotides for a single allele 15:40:47 BobF: This is an underestimate, since that's for coding sequence only 15:41:00 ... there is intronic plus (?) se 15:41:31 ... avg is 5K seq per gene, accounting for this other content 15:41:32 intronic + flanking sequence 15:41:59 Matthias: Think of as a seq of fixed length? 15:42:29 ... should look into insertions and deletions also 15:42:44 ... looking, all of seqs have same length 15:43:25 BobF: Yes, generally true for class 1, but class 2 genes have a different structure 15:44:05 ... true generally for open reading frames, but class 1 and class 2 differ in all this, different proteins 15:44:29 Scott: Given huge amount of variance, exp class 2, can we use SNPs here?? 15:45:12 ... have a sense that HLA has so much variation, would be hard to establish a reference population for SNP analysis 15:46:05 BobF: (not an expert, but) There are relatively finite number (not nec small) of alleles that are inherited thru generations 15:46:22 ... other sites are novel variants that occur sporadically, can be inherited 15:46:39 ... they are designed to be highly variable 15:46:48 ... mutated quite rapidly 15:47:13 Matthias: But there is dbSNP data for these HLA genes 15:47:26 http://hla.alleles.org/alleles/index.html 15:47:36 BobF: Yes, but dbSNP not authoritative for HLA 15:48:09 ... > 8100 alleles in these databases, but not always haplotypes so the combinations will explode rapidly 15:48:17 http://www.ebi.ac.uk/imgt/hla/ambig.html 15:50:13 ... page for ambiguous calls 15:50:14 B*07:02:01G+B*07:05:03 vs B*07:02:11+B*07:05:01G 15:50:44 ... string indicates a given patient genotype, two diff haplotype combinations 15:50:58 B*07:67N 15:51:08 -harryh 15:51:08 ... but no way to tell the difference, so nomenclature is fudged as above 15:51:54 ... trying to adopt nomenclature that will account for this, but running out of ways to lexically describe all this 15:52:07 Michel: Why are haplotypes ambiguous? 15:52:08 link describing the naming: http://hla.alleles.org/nomenclature/naming.html 15:52:55 BobF: Gets back to phases. Take first set of allele defined on one strand, other allele on other strand 15:53:25 ... ambiguous to tell from only genotype. Has implications for what gets expressed on the cell surface 15:53:43 ... we cannot completely disambiguate the alleles yet 15:54:33 (Michel and BobF going deep) 15:55:10 BobF: Classical phasing problem is whether variant is on one strand of the other 15:55:24 achille_z has joined #hcls 15:55:25 ... one, two, three polymorphs, can work out the phasing 15:55:45 ... but will large numbers it becomes very difficult to disambiguate 15:56:08 Michel: king of getting it 15:56:47 (looking up the 1000-word figure) 15:57:04 (kind of getting it :) 15:57:26 Matthias: Timeline? 15:57:53 BobF: Group agrees that they need data standard 15:58:41 ... have expressed that semweb, inferencing tech for allele calls might be a way to start 15:59:14 ... month or so to frame, then feed them interim solutions over a few months 15:59:26 ... pilot solutions 1Q13 15:59:59 Matthias: New use case before PGx is done? 16:00:31 ... scalability of owl reasoners. IGx seems to be an order of magnitude greater than PGx 16:01:09 BobF: Solving this would solve PGx too. HLA is the king of all genetic loci in this regard. 16:01:19 :) 16:01:28 cheers all 16:01:29 -Tony 16:01:30 -mscottm 16:01:31 -michel 16:01:32 -Bob_Powers 16:01:36 -[IPcaller] 16:01:58 rrsagent, draft minutes 16:01:58 I have made the request to generate http://www.w3.org/2012/10/11-hcls-minutes.html bobP 16:02:08 rrsagent, make logs public 16:02:14 -[GVoice] 16:02:21 et voila 16:07:14 disconnecting the lone participant, [IPcaller.a], in SW_HCLS()11:00AM 16:07:16 SW_HCLS()11:00AM has ended 16:07:16 Attendees were Bob_Powers, [IPcaller], Tony, michel, [GVoice], mscottm, harryh 16:07:57 matthias_samwald has joined #hcls 17:13:08 mscottm has joined #hcls 18:21:50 Zakim has left #hcls 18:32:41 egonw__ has joined #HCLS 18:35:04 matthias_samwald has joined #hcls 19:30:58 egonw__ has joined #HCLS 19:47:31 mscottm has joined #hcls