Lennerz: Putting the technical achievement in perspective: 20y to a week or two for WGS. $3B cost vs about $1K #Genomicsfest
11:35am October 3rd 2017 via Hootsuite
Storts: The technology has increased by leaps and bounds. But the complexity of the biological systems 'is just overwhelming' #Genomicsfest
11:33am October 3rd 2017 via Hootsuite
Lu: Pt affordability (plan members), an issue of cost-sharing, copayment (unclear to pt), deductibles and co-ins all related #Genomicsfest
11:29am October 3rd 2017 via Hootsuite
Lu: Payers try to consider genomic medicine; coding a big challenge as part of implementation, and comes down to pricing #Genomicsfest
11:28am October 3rd 2017 via Hootsuite
Dodek: It can take years to get a code; 1 code for 1-49 genes, etc. w/bundled payments. #Genomicsfest
11:26am October 3rd 2017 via Hootsuite
From Putting the G in Genome: financial sustainability of genomic medicine at #genomicsfest Bob Daber (Genosity) on… https://t.co/xjlACZN3E4
Dodek: Technology advancing faster than health care plan's ability to evaluate it. A code w/no std reimbursement. #Genomicsfest
11:23am October 3rd 2017 via Hootsuite
Dodek: Everyone wants quality healthcare, but if costs are consistently higher than inflation, a problem. #Genomicsfest
11:22am October 3rd 2017 via Hootsuite
Dodek: Health plans get a bad reputation for denying payment; however there's resp. to provide quality of care w/wise spending #Genomicsfest
11:21am October 3rd 2017 via Hootsuite
Daber: More is better but the payers need to pay for established markers, not research. Small labs don't have infrastructure #Genomicsfest
11:20am October 3rd 2017 via Hootsuite
Daber: A 'human pipeline' to handle workflow. So much content, costs become a challenge; also differentiated value a question #Genomicsfest
11:19am October 3rd 2017 via Hootsuite
Daber: Early on w/NGS, focus on getting the lab going, lots of effort involved. Much infrastructure needed for payments #Genomicsfest
11:17am October 3rd 2017 via Hootsuite
Ramamurthy: Feels that payors are improving, see increased clinical utility of diagnostics. Validity: by FDA. Payers: utility #Genomicsfest
11:16am October 3rd 2017 via Hootsuite
Lennerz 'biggest impediment: obtaining reimbursement'. Ramamurthy: has been both on regulatory and reimb sides. #Genomicsfest
11:14am October 3rd 2017 via Hootsuite
Doug Storts (Promega) Research reagents provider from 1978; increasingly for applied markets (forensics). No FDA-cleared prods #Genomicsfest
11:11am October 3rd 2017 via Hootsuite
hristine Lu (Harvard) Looks at policy, use of health care, outcomes and EHR #Genomicsfest
11:10am October 3rd 2017 via Hootsuite
Dodek (Neighborhood Health Care) Pediatrician, knows about financing of new technology; health plans struggle w/ reimbursement #Genomicsfest
11:09am October 3rd 2017 via Hootsuite
Bob Daber (Genosity) Geneticist, has built many labs from scratch; Bio-Reference and GeneDx before this; UPenn #Genomicsfest
11:08am October 3rd 2017 via Hootsuite
Lakshman Ramamurthy (Foundation Medicine) #Genomicsfest Before FMI, was adviser at CMS on coverage issues, FDA before that, and industry
11:06am October 3rd 2017 via Hootsuite
Lennerz: introduces the topic with slide from '16 JMD https://t.co/4YvDYu1o2n Panel comes from diverse perspectives #Genomicsfest
Jochen Lennerz (MGH), Christine Lu (Harvard), Doug Storts (Promega), L. Ramamurthy (Foundation Medicine), Bob Daber (Genosity) #Genomicsfest
11:04am October 3rd 2017 via Hootsuite
Panel Discussion: Putting the G in Genome: Financial sustainability of genomic medicine #Genomicsfest
11:03am October 3rd 2017 via Hootsuite
Henderson: Lasso regularization: many features with very small variation; case where it shows up in regression analysis #Genomicsfest
10:02am October 3rd 2017 via Hootsuite
Henderson: Other 20 have variation, last 20 do not vary. Lasso finds five important, and one w/zero variance via lasso #Genomicsfest
10:01am October 3rd 2017 via Hootsuite
Henderson: A binary outcome, using penalized regression and lasso. Of 45 biomarkers, 5 predict outcome (model) #Genomicsfest
10:00am October 3rd 2017 via Hootsuite
Henderson: Std assays - genotyping, imputed SNPs, gene exp. Lots of features - much to filter out. Will go through process #Genomicsfest
9:59am October 3rd 2017 via Hootsuite
Henderson: Have seen companion diagnostics (CDx) projects in addition to methylation, metabolomic, genomic, expression data #Genomicsfest
9:58am October 3rd 2017 via Hootsuite
Henderson: Statistical geneticists for pharma; '14 started group analyzing data for pharma (genetics / genomics). #Genomicsfest
9:57am October 3rd 2017 via Hootsuite
David Henderson (Axio Research): Creating biomarker panels for diagnostics using high dimensional assays #Genomicsfest
9:56am October 3rd 2017 via Hootsuite
Nelson: GRC is non-profit cross-pharma consortia, focused on EHR-linked biobank data. 'Genetics isn't the end-all' can do more #Genomicsfest
9:54am October 3rd 2017 via Hootsuite
Nelson: But 500K still isn't enough; real power will be agg. across 10's or 100's of biobanks. Genomics Resource Consortia #Genomicsfest
9:52am October 3rd 2017 via Hootsuite
Nelson: Shows this result from recent PLOS ref https://t.co/XmtUV0SFxK and did their own PheWAS recapitulating results #Genomicsfest
9:51am October 3rd 2017 via Hootsuite
Nelson: currently genotype data, EHR, self-reported, can do PheWAS. Compare 24 mos to 3h, recapitulated CHD data. #Genomicsfest
9:50am October 3rd 2017 via Hootsuite
Nelson: UK Biobank is 'the most exciting thing to happen to genetics since GWAS'. 500K participants, 'unprecedented resource' #Genomicsfest
9:48am October 3rd 2017 via Hootsuite
Nelson: Recent STOPGAP ref https://t.co/RKjHAQXzQc Looking at collaboration for GLPR1 activators for CHD - 24mo and slow #Genomicsfest
9:47am October 3rd 2017 via Hootsuite
Nelson: #Genomicsfest Developed a tool called StopGap2 - using open targets. Github site: https://t.co/GJN5TYVkNt https://t.co/Y9Jcju8Y4b
9:45am October 3rd 2017 via Hootsuite
Nelson: Pre-competitive vs competitive: finding genetic assoc'n, causal gene, mechanism: need for sharing broadly. #Genomicsfest
9:44am October 3rd 2017 via Hootsuite
Nelson: T2D '14 Nature Gen https://t.co/tgCtSsD3u2 Collective contributions to scientific commons 'can have dramatic impacts' #Genomicsfest
9:40am October 3rd 2017 via Hootsuite
Nelson: GWAS has ID'd thousands of variants influencing human traits. '14: 8% had genetic evidence; '16 12% had. #Genomicsfest
9:38am October 3rd 2017 via Hootsuite
Nelson: Currently about 15% of targets have genetic evidence. Est. can save 12-15% of overall costs if raised to 50% #Genomicsfest
9:36am October 3rd 2017 via Hootsuite
Nelson: '15 Nature Genet ref https://t.co/E9wPAVzf7U shows drugs are 2x more likely to be approved w/genetic evidence #Genomicsfest
9:35am October 3rd 2017 via Hootsuite
Nelson: Only about 10% overall probability of success at Ph1; 20% at Ph2; lack of efficacy at Ph3 probability is 50% faiil #Genomicsfest
9:33am October 3rd 2017 via Hootsuite
Nelson: "Moonshot is easy; making a drug is really hard." #Genomicsfest
9:31am October 3rd 2017 via Hootsuite
Nelson: Man on the moon is easier: Newtonian physics, an engineering problem. A single drug is $2.6B; SpaceX costs $135M #Genomicsfest
Nelson: 5K-10K compounds down to 250; at clinical trials 5 compounds another 6-7y (Ph1-Ph3). Thousands of volunteers #Genomicsfest
9:30am October 3rd 2017 via Hootsuite
Nelson: Credits Lon Cardon for the content; a moonshot is trying something that is hard. From disc to preclin: 3-6y #Genomicsfest
9:29am October 3rd 2017 via Hootsuite
Matt Nelson (GSK) Building the rocket: strategic considerations for using human genetics to guide drug discovery #Genomicsfest
9:26am October 3rd 2017 via Hootsuite
Cofactor sure does know how to title a talk correctly st #genomicsfest https://t.co/ov0quq615G
7:37am October 3rd 2017 via Hootsuite
We hail individual geniuses, but success in science comes through collaboration | The Guardian https://t.co/IZNNNf2kfH
9:17pm October 2nd 2017 via Hootsuite
RT @westr: Foundation Medicine Gets NY State Approval for #LiquidBiopsy Test https://t.co/2f0KQWZGU2 #PM101 All 50 states, now..
3:12pm October 2nd 2017 via Hootsuite
