Skip to content

Million Veteran Program Return of Actionable Results

Million Veteran Program Return of Actionable Results

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04178122
Acronym
MVP-ROAR
Enrollment
112
Registered
2019-11-26
Start date
2020-02-27
Completion date
2024-09-08
Last updated
2025-10-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cardiovascular Disease

Brief summary

The purpose of the Million Veteran Program- Return of Actionable Results (MVP-ROAR) Study is to develop a process to return medically actionable genetic results to living MVP participants nationwide and to determine the impact of doing so on medical management and outcomes and Veteran quality of life.

Detailed description

The Million Veteran Program - Return of Actionable Results (MVP-ROAR) Study is a randomized controlled trial of immediate vs. delayed (after 6 months) return of medically actionable, clinically confirmed genetic testing results. MVP participants with a medically actionable variant in their MVP chip genotype data will be contacted and offered the opportunity to receive clinical confirmation of this result through a research protocol. First, a non-randomized pilot trial will be conducted among 10 eligible MVP participants, followed by a randomized controlled trial of immediate vs. delayed clinical confirmation and reporting, delivered to participants nationwide via telegenetic counseling. Three hypotheses will be tested: Hypothesis 1 (LDL-C change): LDL-C reduction after 6 months will be greater in the Immediate Results arm compared to the Delayed Results arm (primary outcome) Hypothesis 2 (LDL-C target): The proportion of participants meeting clinically significant LDL-C targets (\<100mg/dL for primary prevention and \<70 mg/dL for secondary prevention) at 6 months will be greater in the Immediate Results arm than in the Delayed Results arm (secondary outcome) Hypothesis 3 (Pharmacotherapy): the proportion of participants with an intensification of lipid-lowering pharmacotherapy will be greater in the Immediate Results arm than in the Delayed Results arm (secondary outcome)

Interventions

GENETICResult disclosure

Disclosure of clinically confirmed, medically actionable genetic testing results and post-test genetic counseling session.

Sponsors

VA Office of Research and Development
Lead SponsorFED

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
22 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Living enrollee in MVP * Is identified to have a pathogenic or likely pathogenic variant in the gene(s) of interest in MVP genotype data

Exclusion criteria

* Previously underwent genetic testing for the condition of interest * Is incarcerated * Is pregnant

Design outcomes

Primary

MeasureTime frameDescription
LDL-C Change6 monthsChange in LDL-C after 6 months.

Secondary

MeasureTime frameDescription
LDL-C Target6 monthsThe number of participants meeting clinically significant LDL-C targets (\< 100mg/dL for primary prevention and \<70 mg/dL for secondary prevention) at 6 months.
Pharmacotherapy6 monthsThe number of participants with an intensification of lipid-lowering pharmacotherapy, a composite outcome including prescription of new monotherapy, dose escalation of existing pharmacotherapy, and addition of one or more medications to existing pharmacotherapy.

Other

MeasureTime frameDescription
Medication Adherence6 monthsMedication adherence at 6 months, measured by the Beliefs About Medicines Questionnaire (BMQ).
Cascade Testing6 monthsThe number of first-degree relatives having undergone genetic testing at 6 months.
Smoking Status6-month6-month smoking status
Lifestyle Behaviors6 monthsThe number of participants reporting healthy lifestyle behaviors (smoking, physical activity, and saturated fat intake) at 6 months, measured by questionnaire responses.
Quality of Life (Veterans RAND Survey)6 monthsQuality of life, measured by the Veterans RAND (distributed by RAND Corporation) 12-item Health Survey (VR-12). Items are scored using an algorithm and summarized into two scores (Physical Component Score and a Mental Component Score) ranging from 0-100, with a higher score indicating better health.

Countries

United States

Participant flow

Recruitment details

Recruitment began on February 27, 2020. 459 MVP participants with a suspected FH-associated variant were recruited and assessed for eligibility.

Pre-assignment details

347 participants were excluded from randomization due to: not meeting inclusion criteria, unable to contact, declined to participate, lost to follow up, withdrew, or deceased.

Participants by arm

ArmCount
Immediate Results
Participants in the Immediate Results arm will receive their genetic testing results from a genetic counselor at baseline following randomization.
55
Delayed Results
Participants in the Delayed Results arm will receive their genetic testing results from a genetic counselor 6 months after randomization.
57
Total112

Withdrawals & dropouts

PeriodReasonFG000FG001
Overall StudyDeath20
Overall StudyDid not complete testing313
Overall StudyWithdrawal by Subject11

Baseline characteristics

CharacteristicDelayed ResultsTotalImmediate Results
Age, Continuous65.2 Years
STANDARD_DEVIATION 12.6
65.9 Years
STANDARD_DEVIATION 13.3
66.7 Years
STANDARD_DEVIATION 14.1
Ethnicity (NIH/OMB)
Hispanic or Latino
6 Participants10 Participants4 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
50 Participants101 Participants51 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
1 Participants1 Participants0 Participants
LDL-C104.7 mg/dL109.5 mg/dL114.4 mg/dL
Race (NIH/OMB)
American Indian or Alaska Native
1 Participants1 Participants0 Participants
Race (NIH/OMB)
Asian
1 Participants2 Participants1 Participants
Race (NIH/OMB)
Black or African American
19 Participants31 Participants12 Participants
Race (NIH/OMB)
More than one race
1 Participants3 Participants2 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
2 Participants3 Participants1 Participants
Race (NIH/OMB)
White
33 Participants72 Participants39 Participants
Sex: Female, Male
Female
7 Participants18 Participants11 Participants
Sex: Female, Male
Male
50 Participants94 Participants44 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 00 / 0
other
Total, other adverse events
0 / 00 / 0
serious
Total, serious adverse events
0 / 00 / 0

Outcome results

Primary

LDL-C Change

Change in LDL-C after 6 months.

Time frame: 6 months

ArmMeasureValue (MEAN)Dispersion
Immediate ResultsLDL-C Change-8.0 mg/dLStandard Deviation 32.3
Delayed ResultsLDL-C Change2.4 mg/dLStandard Deviation 28.9
Secondary

LDL-C Target

The number of participants meeting clinically significant LDL-C targets (\< 100mg/dL for primary prevention and \<70 mg/dL for secondary prevention) at 6 months.

Time frame: 6 months

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Immediate ResultsLDL-C Target15 Participants
Delayed ResultsLDL-C Target14 Participants
Secondary

Pharmacotherapy

The number of participants with an intensification of lipid-lowering pharmacotherapy, a composite outcome including prescription of new monotherapy, dose escalation of existing pharmacotherapy, and addition of one or more medications to existing pharmacotherapy.

Time frame: 6 months

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Immediate ResultsPharmacotherapy11 Participants
Delayed ResultsPharmacotherapy5 Participants
Other Pre-specified

Cascade Testing

The number of first-degree relatives having undergone genetic testing at 6 months.

Time frame: 6 months

Population: Only the participants in the immediate results arm completed this survey measure.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Immediate ResultsCascade Testing3 Participants
Delayed ResultsCascade Testing0 Participants
Other Pre-specified

Lifestyle Behaviors

The number of participants reporting healthy lifestyle behaviors (smoking, physical activity, and saturated fat intake) at 6 months, measured by questionnaire responses.

Time frame: 6 months

Population: Survey responses fully or partially missing from some participants.

ArmMeasureGroupCategoryValue (COUNT_OF_PARTICIPANTS)
Immediate ResultsLifestyle Behaviors6-month physical activityYES, I have been for MORE than 6 months30 Participants
Immediate ResultsLifestyle Behaviors6-month physical activityYES, I have, but for less than 6 months3 Participants
Immediate ResultsLifestyle Behaviors6-month physical activityNO, but I intend to in the next 30 days4 Participants
Immediate ResultsLifestyle Behaviors6-month physical activityNO, but I intend to in the next 6 months6 Participants
Immediate ResultsLifestyle Behaviors6-month physical activityNO, and I do NOT intend to in the next 6 months7 Participants
Immediate ResultsLifestyle Behaviors6-month saturated fat consumptionYES, I have been for MORE than 6 months23 Participants
Immediate ResultsLifestyle Behaviors6-month saturated fat consumptionYES, I have, but for less than 6 months2 Participants
Immediate ResultsLifestyle Behaviors6-month saturated fat consumptionNO, but I intend to in the next 30 days1 Participants
Immediate ResultsLifestyle Behaviors6-month saturated fat consumptionNO, but I intend to in the next 6 months3 Participants
Immediate ResultsLifestyle Behaviors6-month saturated fat consumptionNO, and I do NOT intend to in the next 6 months19 Participants
Delayed ResultsLifestyle Behaviors6-month saturated fat consumptionNO, but I intend to in the next 30 days3 Participants
Delayed ResultsLifestyle Behaviors6-month physical activityYES, I have been for MORE than 6 months27 Participants
Delayed ResultsLifestyle Behaviors6-month saturated fat consumptionYES, I have been for MORE than 6 months28 Participants
Delayed ResultsLifestyle Behaviors6-month physical activityYES, I have, but for less than 6 months4 Participants
Delayed ResultsLifestyle Behaviors6-month saturated fat consumptionNO, and I do NOT intend to in the next 6 months13 Participants
Delayed ResultsLifestyle Behaviors6-month physical activityNO, but I intend to in the next 30 days6 Participants
Delayed ResultsLifestyle Behaviors6-month saturated fat consumptionYES, I have, but for less than 6 months0 Participants
Delayed ResultsLifestyle Behaviors6-month physical activityNO, but I intend to in the next 6 months1 Participants
Delayed ResultsLifestyle Behaviors6-month saturated fat consumptionNO, but I intend to in the next 6 months0 Participants
Delayed ResultsLifestyle Behaviors6-month physical activityNO, and I do NOT intend to in the next 6 months6 Participants
Other Pre-specified

Medication Adherence

Medication adherence at 6 months, measured by the Beliefs About Medicines Questionnaire (BMQ).

Time frame: 6 months

ArmMeasureGroupCategoryValue (COUNT_OF_PARTICIPANTS)
Immediate ResultsMedication AdherencePeople who take medicines should stop their treatment every now and thenNeither agree nor disagree1 Participants
Immediate ResultsMedication AdherenceDoctors place too much trust in medicinesDid not respond/ Missing5 Participants
Immediate ResultsMedication AdherenceDoctors use too many medicationsStrongly agree8 Participants
Immediate ResultsMedication AdherenceMedicines do more harm than goodStrongly agree2 Participants
Immediate ResultsMedication AdherencePeople who take medicines should stop their treatment every now and thenDid not respond/ Missing5 Participants
Immediate ResultsMedication AdherenceMedicines do more harm than goodAgree6 Participants
Immediate ResultsMedication AdherenceDoctors use too many medicationsDid not respond/ Missing5 Participants
Immediate ResultsMedication AdherenceMedicines do more harm than goodDisagree24 Participants
Immediate ResultsMedication AdherenceIf doctors have more time with patients they would prescribe fewer medicinesStrongly agree6 Participants
Immediate ResultsMedication AdherenceMedicines do more harm than goodStrongly disagree10 Participants
Immediate ResultsMedication AdherenceDoctors use too many medicationsDisagree12 Participants
Immediate ResultsMedication AdherenceMedicines do more harm than goodNeither agree nor disagree8 Participants
Immediate ResultsMedication AdherenceIf doctors have more time with patients they would prescribe fewer medicinesAgree20 Participants
Immediate ResultsMedication AdherenceMedicines do more harm than goodDid not respond/ Missing5 Participants
Immediate ResultsMedication AdherenceIf doctors have more time with patients they would prescribe fewer medicinesDisagree10 Participants
Immediate ResultsMedication AdherenceMost medicines are addictiveStrongly agree1 Participants
Immediate ResultsMedication AdherencePeople who take medicines should stop their treatment every now and thenStrongly agree0 Participants
Immediate ResultsMedication AdherenceMost medicines are addictiveAgree6 Participants
Immediate ResultsMedication AdherenceIf doctors have more time with patients they would prescribe fewer medicinesStrongly disagree3 Participants
Immediate ResultsMedication AdherenceMost medicines are addictiveDisagree33 Participants
Immediate ResultsMedication AdherenceMost medicines are addictiveNeither agree nor disagree4 Participants
Immediate ResultsMedication AdherenceMost medicines are addictiveStrongly disagree6 Participants
Immediate ResultsMedication AdherenceMost medicines are addictiveDid not respond/ Missing5 Participants
Immediate ResultsMedication AdherenceIf doctors have more time with patients they would prescribe fewer medicinesNeither agree nor disagree11 Participants
Immediate ResultsMedication AdherenceAll medicines are poisonsStrongly agree1 Participants
Immediate ResultsMedication AdherencePeople who take medicines should stop their treatment every now and thenAgree3 Participants
Immediate ResultsMedication AdherenceAll medicines are poisonsAgree0 Participants
Immediate ResultsMedication AdherenceIf doctors have more time with patients they would prescribe fewer medicinesDid not respond/ Missing5 Participants
Immediate ResultsMedication AdherenceAll medicines are poisonsDisagree34 Participants
Immediate ResultsMedication AdherenceDoctors use too many medicationsStrongly disagree1 Participants
Immediate ResultsMedication AdherenceAll medicines are poisonsStrongly disagree14 Participants
Immediate ResultsMedication AdherenceDoctors place too much trust in medicinesStrongly agree7 Participants
Immediate ResultsMedication AdherenceAll medicines are poisonsNeither agree nor disagree1 Participants
Immediate ResultsMedication AdherencePeople who take medicines should stop their treatment every now and thenDisagree30 Participants
Immediate ResultsMedication AdherenceAll medicines are poisonsDid not respond/ Missing5 Participants
Immediate ResultsMedication AdherenceDoctors place too much trust in medicinesAgree22 Participants
Immediate ResultsMedication AdherenceNatural remedies are safer than medicinesStrongly agree2 Participants
Immediate ResultsMedication AdherenceDoctors use too many medicationsAgree24 Participants
Immediate ResultsMedication AdherenceNatural remedies are safer than medicinesAgree11 Participants
Immediate ResultsMedication AdherenceDoctors place too much trust in medicinesDisagree12 Participants
Immediate ResultsMedication AdherenceNatural remedies are safer than medicinesDisagree14 Participants
Immediate ResultsMedication AdherencePeople who take medicines should stop their treatment every now and thenStrongly disagree16 Participants
Immediate ResultsMedication AdherenceNatural remedies are safer than medicinesStrongly disagree7 Participants
Immediate ResultsMedication AdherenceDoctors place too much trust in medicinesStrongly disagree3 Participants
Immediate ResultsMedication AdherenceNatural remedies are safer than medicinesNeither agree nor disagree16 Participants
Immediate ResultsMedication AdherenceDoctors use too many medicationsNeither agree nor disagree5 Participants
Immediate ResultsMedication AdherenceNatural remedies are safer than medicinesDid not respond/ Missing5 Participants
Immediate ResultsMedication AdherenceDoctors place too much trust in medicinesNeither agree nor disagree6 Participants
Delayed ResultsMedication AdherenceNatural remedies are safer than medicinesDid not respond/ Missing12 Participants
Delayed ResultsMedication AdherenceMost medicines are addictiveStrongly disagree6 Participants
Delayed ResultsMedication AdherenceMost medicines are addictiveNeither agree nor disagree1 Participants
Delayed ResultsMedication AdherenceDoctors use too many medicationsStrongly agree6 Participants
Delayed ResultsMedication AdherenceDoctors use too many medicationsAgree14 Participants
Delayed ResultsMedication AdherenceDoctors use too many medicationsDisagree18 Participants
Delayed ResultsMedication AdherenceDoctors use too many medicationsStrongly disagree0 Participants
Delayed ResultsMedication AdherenceDoctors use too many medicationsNeither agree nor disagree7 Participants
Delayed ResultsMedication AdherenceDoctors use too many medicationsDid not respond/ Missing12 Participants
Delayed ResultsMedication AdherencePeople who take medicines should stop their treatment every now and thenStrongly agree0 Participants
Delayed ResultsMedication AdherencePeople who take medicines should stop their treatment every now and thenAgree0 Participants
Delayed ResultsMedication AdherencePeople who take medicines should stop their treatment every now and thenDisagree32 Participants
Delayed ResultsMedication AdherencePeople who take medicines should stop their treatment every now and thenStrongly disagree10 Participants
Delayed ResultsMedication AdherencePeople who take medicines should stop their treatment every now and thenNeither agree nor disagree3 Participants
Delayed ResultsMedication AdherencePeople who take medicines should stop their treatment every now and thenDid not respond/ Missing12 Participants
Delayed ResultsMedication AdherenceIf doctors have more time with patients they would prescribe fewer medicinesStrongly agree2 Participants
Delayed ResultsMedication AdherenceIf doctors have more time with patients they would prescribe fewer medicinesDisagree15 Participants
Delayed ResultsMedication AdherenceIf doctors have more time with patients they would prescribe fewer medicinesStrongly disagree1 Participants
Delayed ResultsMedication AdherenceIf doctors have more time with patients they would prescribe fewer medicinesNeither agree nor disagree9 Participants
Delayed ResultsMedication AdherenceIf doctors have more time with patients they would prescribe fewer medicinesDid not respond/ Missing12 Participants
Delayed ResultsMedication AdherenceDoctors place too much trust in medicinesStrongly agree3 Participants
Delayed ResultsMedication AdherenceDoctors place too much trust in medicinesAgree17 Participants
Delayed ResultsMedication AdherenceDoctors place too much trust in medicinesDisagree15 Participants
Delayed ResultsMedication AdherenceDoctors place too much trust in medicinesStrongly disagree0 Participants
Delayed ResultsMedication AdherenceDoctors place too much trust in medicinesNeither agree nor disagree10 Participants
Delayed ResultsMedication AdherenceDoctors place too much trust in medicinesDid not respond/ Missing12 Participants
Delayed ResultsMedication AdherenceMedicines do more harm than goodStrongly agree1 Participants
Delayed ResultsMedication AdherenceMedicines do more harm than goodAgree3 Participants
Delayed ResultsMedication AdherenceMedicines do more harm than goodDisagree25 Participants
Delayed ResultsMedication AdherenceMedicines do more harm than goodStrongly disagree9 Participants
Delayed ResultsMedication AdherenceMedicines do more harm than goodNeither agree nor disagree7 Participants
Delayed ResultsMedication AdherenceMedicines do more harm than goodDid not respond/ Missing12 Participants
Delayed ResultsMedication AdherenceMost medicines are addictiveStrongly agree1 Participants
Delayed ResultsMedication AdherenceMost medicines are addictiveAgree5 Participants
Delayed ResultsMedication AdherenceMost medicines are addictiveDisagree32 Participants
Delayed ResultsMedication AdherenceMost medicines are addictiveDid not respond/ Missing12 Participants
Delayed ResultsMedication AdherenceAll medicines are poisonsStrongly agree0 Participants
Delayed ResultsMedication AdherenceAll medicines are poisonsAgree0 Participants
Delayed ResultsMedication AdherenceAll medicines are poisonsDisagree28 Participants
Delayed ResultsMedication AdherenceAll medicines are poisonsStrongly disagree16 Participants
Delayed ResultsMedication AdherenceAll medicines are poisonsNeither agree nor disagree1 Participants
Delayed ResultsMedication AdherenceAll medicines are poisonsDid not respond/ Missing12 Participants
Delayed ResultsMedication AdherenceNatural remedies are safer than medicinesStrongly agree2 Participants
Delayed ResultsMedication AdherenceNatural remedies are safer than medicinesAgree5 Participants
Delayed ResultsMedication AdherenceNatural remedies are safer than medicinesDisagree20 Participants
Delayed ResultsMedication AdherenceNatural remedies are safer than medicinesStrongly disagree3 Participants
Delayed ResultsMedication AdherenceNatural remedies are safer than medicinesNeither agree nor disagree15 Participants
Delayed ResultsMedication AdherenceIf doctors have more time with patients they would prescribe fewer medicinesAgree18 Participants
Other Pre-specified

Quality of Life (Veterans RAND Survey)

Quality of life, measured by the Veterans RAND (distributed by RAND Corporation) 12-item Health Survey (VR-12). Items are scored using an algorithm and summarized into two scores (Physical Component Score and a Mental Component Score) ranging from 0-100, with a higher score indicating better health.

Time frame: 6 months

Population: Survey responses fully or partially missing from some participants.

ArmMeasureGroupValue (MEAN)Dispersion
Immediate ResultsQuality of Life (Veterans RAND Survey)Physical component: baseline38.32 score on a scaleStandard Deviation 11.05
Immediate ResultsQuality of Life (Veterans RAND Survey)Physical component: change0.78 score on a scaleStandard Deviation 4.45
Immediate ResultsQuality of Life (Veterans RAND Survey)Mental component: change-0.403 score on a scaleStandard Deviation 6.29
Immediate ResultsQuality of Life (Veterans RAND Survey)Mental component: baseline47.78 score on a scaleStandard Deviation 13.98
Immediate ResultsQuality of Life (Veterans RAND Survey)Physical component: 6-month39.10 score on a scaleStandard Deviation 11.44
Immediate ResultsQuality of Life (Veterans RAND Survey)Mental component: 6-month47.38 score on a scaleStandard Deviation 14.29
Delayed ResultsQuality of Life (Veterans RAND Survey)Mental component: change0.31 score on a scaleStandard Deviation 4.66
Delayed ResultsQuality of Life (Veterans RAND Survey)Mental component: 6-month49.99 score on a scaleStandard Deviation 12.98
Delayed ResultsQuality of Life (Veterans RAND Survey)Physical component: baseline39.08 score on a scaleStandard Deviation 14.47
Delayed ResultsQuality of Life (Veterans RAND Survey)Physical component: 6-month40.58 score on a scaleStandard Deviation 14.14
Delayed ResultsQuality of Life (Veterans RAND Survey)Physical component: change1.5 score on a scaleStandard Deviation 4.83
Delayed ResultsQuality of Life (Veterans RAND Survey)Mental component: baseline49.69 score on a scaleStandard Deviation 12.98
Other Pre-specified

Smoking Status

6-month smoking status

Time frame: 6-month

ArmMeasureCategoryValue (COUNT_OF_PARTICIPANTS)
Immediate ResultsSmoking StatusQuit > 6 months30 Participants
Immediate ResultsSmoking StatusNever smoked15 Participants
Immediate ResultsSmoking StatusCurrent smoker4 Participants
Immediate ResultsSmoking StatusQuit within 6 months1 Participants
Delayed ResultsSmoking StatusCurrent smoker3 Participants
Delayed ResultsSmoking StatusNever smoked23 Participants
Delayed ResultsSmoking StatusQuit within 6 months2 Participants
Delayed ResultsSmoking StatusQuit > 6 months16 Participants

Source: ClinicalTrials.gov · Data processed: Feb 7, 2026