Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Meyer rsf summer workshop-6-12-17 final
1. INCLUDING GENOMICS IN
SOCIAL SCIENCE RESEARCH:
ETHICAL ISSUES
Assistant Professor; Associate Director, Research Ethics
Center for Translational Bioethics & Health Policy, Geisinger Health
System
Michelle N.
Meyer, PhD, JD
2. Agenda
1. Background: current controversies in
genetics/genomics research & the 2018
Common Rule
2. Why worry about behavioral genomics
research (BGR)?
3. Given the worries, why conduct BGR?
4. From whether to how: responsible conduct of
BGR
3. The Havasupai Tribe Case
• Oral discussion: diabetes
study
• Written consent: “study
causes of
behavioral/medical
disorders”
• Allegedly studied:
schizophrenia,
consanguinity, population
migration
• Lawsuit:
• $1.7m litigation costs
• $700,000 settlement
• Returned 151 remaining
4. Dried Blood Spots (DBS)
In many states, residual DBS
stored for wide range of
secondary research w/o
parental consent or knowledge
E.g., TX: 800 non-identified
samples given to US Armed
Forces Lab to help determine
population-level variation in
DNA among different ethnic
groups
Critics: a government database
for eugenics, healthcare
rationing MN lawsuit settlement: state returned DBS & destroyed records
TX lawsuit settlement: state destroyed 5m samples
Federal Newborn Screening Saves Lives Reauthorization Act of 2014:
DBS research is HSR; DBS collected after 3/18/15 required consent
pending new Common Rule
6. Re-Identification Risk: Governor Weld
(1997)
Sweeney, L. k-anonymity: a model for protecting privacy. International Journal on Uncertainty,
Fuzziness and Knowledge-based Systems, 10 (5), 2002; 557- 570.
Barth-Jones, DC ., The 'Re-Identification' of Governor William Weld's Medical Information: A Critical
Re-Examination of Health Data Identification Risks and Privacy Protections, Then and Now (July
2012), http://ssrn.com/abstract=2076397
14. Applicability of
2016 Common Rule
Identifiable Non-identifiable
BiospecimeData
Identifiable Non-identifiable
BiospecimensData
?!
• For secondary research, a lot
hinges on identifiability
• Weak definition of “identifiable”:
readily ascertainable (re-ID
concerns)
Applicability of
NPRM
15. “Most notably, the new rule does not adopt the proposal to cover researchers’ use
of unidentified biospecimens…and to require informed consent for such research.
This proposal generated far more comments than any other, and by a substantial
margin those comments opposed the proposal. Commenters in every category
— institutions, researchers, people working in programs that protect research
participants, and people with no employment connection to the research world —
expressed concern that implementing this proposal could significantly harm the
ability to do important research, without producing any substantial off-
setting benefits. The public response was particularly noteworthy, given that
the premise behind the proposal was specifically tied to public sentiment: the
NPRM had stated that continuing to allow research on unidentified biospecimens
without consent would place ‘the publicly-funded research establishment in an
increasingly untenable position because it is not consistent with the majority of the
public’s wishes.’ That premise now seems questionable.”
16. Applicability of
2018 Common Rule
Identifiable Non-identifiable
BiospecimeData Agencies, in
consultation w/experts,
shall w/in 1 year & at
least every 4 years
thereafter…
If permitted by
law, agencies
may alter
interpretation of
“identifiable,”
including
through
guidance
1) Reexamine
meaning of
“identifiable”
2) Assess if
technologies/techniqu
es (e.g., WGS) create
per se identifiable data
Any such tech
placed on list
published in Fed
Reg for public
notice &
comment
“recommendations
might accordingly
be made” to require
consent
24. Why Conduct BGR?
Potential benefits of BGR
Demonstrating limits of biological influence
25.
26. Why Conduct BGR?
Potential benefits of BGR
Demonstrating limits of biological influence
Controlling genetic variation to better evaluate
effective environmental interventions
Increased knowledge of biological pathways
BUT: do all really benefit?
Costs of well-intentioned researchers not
conducting BGR
Forgo above benefits
Cede territory to less scrupulous researchers/funders
Have we overestimated some costs of BGR?
31. Be Proactive
• Ask about purpose (w/in
limits)
• Study design
• Data sharing
• Replication
• Science communication
• Hyping results
emphasizing
limitations
• Active communication
of what results do—&
don’t—mean
• Seek out responsible
science journalists
• Correct media errors
~650 members
Isolated part of Grand Canyon
1991 incidence of type 2 diabetes: 55% w, 38% m
Tribe approached ASU about diabetes; took blood from ~400/650
Guthrie heel pricks for neonatal health screening
Cervical tumor cells removed during clinical procedure & used to create “immortal” cell line (HPV) w/o knowledge or consent
Cells NOT de-identified (labeled HeLa) privacy issues for descendants
Neither Lacks nor descendants compensated; lack access to most health care
(Researchers approached descendants for tissue samples — at best, profound communication gaps; at worst, false pretenses)
ALL of us have had leftover clinical tissue used in research w/o consent
In mid-90s, MA Group Ins Commission released data on individual hosp visits by state e’ees to aid research
Gov. Bill Weld assured e’ees their data had been “anonymized”—all identifiers (name, address, SSN) removed
1996: Weld collapsed at event, admitted to hosp
Sweeney, then MIT grad student, set out to show she could re-ID his admission record
At time, most states collected hosp discharge data containing no identifiers (names or addresses) but quasi-identifiers (full zip, full DOB, sex)
Cambridge voter registration, $20, also contains those quasi-identifiers
sent Weld’s health records (which included diagnoses & prescriptions) to Gov’s office
Direct influence on development of de-identification provisions in HIPAA’s 2003 Privacy Rule
Paper estimated 87% U.S. pop re-identifiable by zip5, DOB, sex
1000 Genomes Project: open online database of (as it turns out) 2500 “unidentified” sequenced genomes
Yaniv re-identified 5 men who had also participated in a study of Mormon families in Utah
1) Profile Y-STR profile of a 1000 Genomes participant
2) search it against a genetic genealogy database that stores user Y-STR profiles connected to user’s last name to try to find surname match
By identifying short tandem repeats on the Y chromosome
Those 5
1000 Genomes Project: open online database of (as it turns out) 2500 “unidentified” sequenced genomes
Yaniv re-identified 5 men who had also participated in a study of Mormon families in Utah
1) Profile Y-STR profile of a 1000 Genomes participant
2) Search it against a genetic genealogy database that stores user Y-STR profiles connected to user’s last name to try to find surname match (eg Ysearch)
Those 5
Federally conducted or funded human subjects research (HSR)
HSR conducted at institution that “checked the box” on its FWA
HSR conducted at institution w/policy of subjecting all HSR to IRB review
Given concern about reID & also about autonomy & group harm regardless of ID…
…NPRM proposed consent for all biospecimens research, regardless of identifiability
But not study-specific consent (infeasible); broad consent for storage of tissue for future research
Status quo for nonidentified/iable specimens/data…for now
Last box: Doesn’t necessary follow from fact that something produces identifiable data that requires broad consent (specific consent, notice & opt-out, just notice, or just data protection measures)
Could easily result in Alternative A or B or even main proposal—accomplishing entirely or almost entirely outside rulemaking process what they couldn’t accomplish inside it
Identifiability continues to be lynchpin, but definition now unstable
Buck v. Bell an unsuccessful Sup Ct challenge to VA’s state sterilization law;
never overturned, law not repealed until 1974
3 generations, no imbeciles: “feeblemindedness”: catch-all term for society’s untouchables
Used veneer of science to justify & reinforce cultural biases
Rather, poverty, prostitution driven by socioeconomic desperation, rape
State sterilization laws: took decades before no longer enforced, even longer before being taken off the books, & longer still (i.e., ongoing) for victims to be compensated
Even if we’re talking about real, rather than pseudo, science, it can have outsized influence
For whatever reason, we tend to think that biological explanations are more persuasive than environmental ones
That is, we tend to think that it is certain rather than probabalistic
Immutable rather than plastic
Causative rather than correlative
(hence double-edged sword of biology-based crim just defenses: lower culpability but future dangerousness)
Very sticky beliefs
And so when we focus on biology tends to bring focus on individuals rather than on environmental contributions, including systemic ones
Can be a distraction
Here’s an analogy
Neoliberalism, victim-blaming
New eugenics isn’t state controlled but works via parental choice
However, people aren’t equal in their means to make the choice (could exacerbate gap b/w haves & have-nots)
Permanently changing the human race
Given the worries…
“Controlling genetic variation to better test environmental interventions” sometimes said we already know what environmental interventions are4 needed so we should just do that
Overconfident that we always know exactly what will work, what will work most effectively, & what will work most cost-effectively
Sometimes, the resistance comes partly from misunderstanding of the phenotype or GxE interaction
IQ isn’t immutable; if you think it is, research showing ind diffs in IQ is threatening
Given the worries…
“Controlling genetic variation to better test environmental interventions” sometimes said we already know what environmental interventions are4 needed so we should just do that
Overconfident that we always know exactly what will work, what will work most effectively, & what will work most cost-effectively
What does that mean?
Most scientists tend to want to separate their work from downstream interpretations & applications of it
But this isn’t a case where that’s appropriate
“ask Qs”: limitsnot all rsch is hypoth-driven & some imp discovs results of serendipity
“Study design”: rsch risks only justified by expected bens, if at all, if study is well-designed to answer Q it asksapprop powered, etc.
“Data sharing & replic”: already an eth oblig but esp important here where results may be controversial
Sci comm: RFP + prof pubs/presentations + media wrds matter
RFP asks applicants to explain open sci plans maybe ask to expl resp comm plans, too
In conclusion, a few comments about how SSGAC has approached sci comm
Emphasize genes aren’t destiny, aren’t whole story debias using concrete examples
Destiny vs. predisposition, i.e., penetrance (e.g., HD model)
1-1 gene-phenotype vs. polygenic architecture
Even if genes don’t change, environmental interventions can change the effects of genes (e.g., eyeglasses, PKU diet)
Effect size
In Sweden, effect of edu att SNPs on edu att only ½ as strong after various edu reforms were enacted
Enviro changes can have direct, significant impact on phenotypes (e.g., height is highly heritable, but nutrition