ClinicalTrials.gg
CompletedNCT03276637MilSeqUpdated Oct 2, 2024Results posted

Enabling Personalized Medicine Through Exome Sequencing in the U.S. Air Force

An interventional study of Whole exome sequencing in Healthy Adults and Genetic Predisposition to Disease, sponsored by Brigham and Women's Hospital. Completed at 3 sites in United States. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2024-10-02.

Sponsored by Brigham and Women's Hospital · Not applicable, Interventional, and Health services research

Phase
Not applicable
Study type
Interventional
Enrollment
105
Allocation
Non-randomized
Ages
18 Years and older
Sex
All
01

Study summary

The MilSeq Project is a nonrandomized, prospective pilot study of whole exome sequencing (WES) in the U.S. Air Force. The purpose of this study is to explore the implementation of WES into clinical medical care in the military health system.

Read the detailed description

The objective of this effort is to investigate: (a) military healthcare providers' (HCPs') genomic knowledge before and after receiving a genomic educational primer and after disclosing whole exome sequencing (WES) results to begin to assess the genomic educational needs of military HCPs; (b) active-duty Airmen's knowledge and perceptions of genomic sequencing (GS); (c) reasons why active-duty Airmen choose to participate, or not to participate, in research involving GS; (d) how WES study participants, including HCPs and sequenced active-duty Airmen (patient-participants), respond to and use WES results; (e) the collection of medical, behavioral, and healthcare utilization outcomes related to the clinical integration of WES in the military; (f) how return of WES results and integration into the Electronic Medical Record (EMR) do or do not impact perceptions of mission readiness and duty assignments. Given the lack of prior research in this area in the Air Force and the broad number of topics of interest, the aims of the study are predominantly exploratory and results may be hypothesis generating.

The MilSeq Project will be conducted in two sequential phases. Phase I of the study will recruit, consent, and enroll approximately 75 ostensibly healthy active-duty Airmen who receive medical care in military Primary Care, Internal Medicine, and/or Family Practice settings to take a baseline survey. This survey will be administered to explore active-duty Airmen's perceptions of and preferences for GS, identify motivations and barriers to active-duty Airmen participating in a WES study, and assess interest in taking part in the WES study.

Phase II of the study will recruit, consent, and enroll 75 ostensibly healthy active-duty Airmen who receive medical care in military Primary Care, Internal Medicine and/or Family Practice settings who in their baseline survey expressed interest in receiving WES through a research study. WES will be performed on each enrolled patient-participant. The result will be disclosed by an HCP-participant and permanently integrated into the patient-participant's EMR. Phase II will also recruit 10-20 military Primary Care, Internal Medicine, and/or Family Practice HCPs and consent them to participate in the study. The HCPs will receive an educational primer in genomics and will disclose WES results to Airmen participants.

There are a number of potential benefits and challenges to incorporating genomic medicine into the military, some that are relevant to the broader civilian community, but some that are unique to this population. Some of these challenges include: (a) how GS may or may not affect the perception of fitness for duty; (b) how genomic discrimination may or may not occur in the military setting; (c) how to best deal with unanticipated findings; and (d) how genomic results can be practically integrated into a military setting. In this pilot study, these potential opportunities and challenges will be explored, which will provide a basis for future study and begin to inform decisions regarding clinical care of active-duty service members.

02

Conditions studied

  • Healthy Adults
  • Genetic Predisposition to Disease

Keywords

  • Whole Genome Sequencing
  • Whole Exome Sequencing
  • Military
  • Air Force
  • Disease Susceptibility
  • Genetic Predisposition to Disease
  • Disease Attributes
  • Pathologic Processes
03

In context

Genetic Predisposition to Disease

241 studies on the registry are indexed under Genetic Predisposition to Disease; 95 are open to participants now.

This study's enrollment of 105 is below the median of 250 across 85 interventional studies indexed under Genetic Predisposition to Disease.

Browse Genetic Predisposition to Disease studies →

Lead sponsor

Brigham and Women's Hospital is the lead sponsor of 1,267 studies on the registry; 228 are open to participants now.

Of its 116 completed or terminated interventional studies of FDA-regulated products, 65 (56%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Eligibility criteria

Patient-Participant Inclusion Criteria:

  • 18 years or older
  • An active Air Force Airman
  • Fluent in English
  • Seen or eligible to be seen by a provider at Wilford Hall Ambulatory Surgical Center at Joint Base San Antonio (JBSA) Lackland Air Force Base

Healthcare Provider-Participant Inclusion Criterion

  • An active or Department of Defense civilian Primary Care, Internal Medicine, or Family Practice Healthcare Provider (Physician, Physician Assistant, or Nurse Practitioner) or resident practicing at Wilford Hall Ambulatory Surgical Center at JBSA Lackland Air Force Base

Patient-Participant Exclusion Criteria:

  • Those who do not meet the above inclusion criteria
  • Those with clinically concerning scores on anxiety and distress scales in baseline survey
  • Trainees (basic military training or tech school)
  • Airmen with an active change of duty station order or deployment order and expected to leave San Antonio in 6 months or less
  • Airmen expected to be discharged from the Air Force in 6 months or less

Healthcare Provider-Participant Exclusion Criteria:

  • Providers who do not meet the above inclusion criteria
  • Providers with an active change of duty station order or deployment order and expected to leave San Antonio in 6 months or less
  • Providers expected to be discharged from the Air Force in 6 months or less
05

Study design

Phase
Not applicable
Primary purpose
Health services research
Allocation
Non-randomized
Intervention model
Single group
Masking
None (open label)
Enrollment
105 participants (actual)

Study arms

  • Experimental
    Healthy Active-Duty Airmen Cohort

    Whole exome sequencing (WES) will be performed on 75 ostensibly healthy, active-duty Airmen (patient-participants) who receive medical care in military Primary Care, Internal Medicine and/or Family Practice settings who in their baseline survey expressed interest in receiving WES. Military healthcare providers who have received brief genomics training will return results to the patient-participants and the WES reports will be permanently integrated into their electronic medical record.

    Genetic: Whole exome sequencing

  • No intervention
    Healthcare Provider Cohort

    The Healthcare providers who provide medical care in military Primary Care, Internal Medicine and/or Family Practice settings and enroll participants. Military healthcare providers have received a brief genomics training and will return results to the patient-participants

Interventions

  • GeneticWhole exome sequencing

    Whole exome sequencing at 125x coverage (i.e., at least 125 sequencing reads covering each position within the exome region of interest) performed at the Laboratory of Molecular Medicine's Clinical Laboratory Improvement Amendments (CLIA) certified laboratory on 75 enrolled individuals

06

What researchers measure

Primary outcomes

  1. Active-duty Airmen's Perceptions About Military Use of Genomic Information to Make Career Decisions

    Assessed using a novel measure of perceptions about use of genetic information for military career duty assignment decisions on a 1-5 scale, where higher scores indicate more positive attitudes.

    Time frame: Baseline and 6 weeks post disclosure of genomic sequencing results (approx. 43 weeks after baseline)

  2. Genomic Sequencing Findings

    Analysis of whole exome sequencing results identified the number of participants with genomic findings, including monogenic disease risk, carrier status, and risk allele presence.

    Time frame: Results disclosure (within 1 month of sequencing completion)

  3. Active-duty Airmen Reported Health Care Utilization Related to Study Results

    Participants' health care utilization was assessed through a combination of medical record reviews and novel and adapted measures from the Behavioral Risk Factor Surveillance System (BRFSS). Survey self-report data were compared to services and procedures indicated on medical record review.

    Time frame: 6 weeks post-disclosure (approx. 43 weeks after baseline)

  4. Military Healthcare Providers' Genomic Literacy

    Military healthcare provider-participants' genomic literacy were measured with a 14-item measure adapted from the ClinSeq Study (Kaphingst K.A. et al. 2012) administered at baseline, before (pre) and immediately after (post) an education session, and at Follow-up near the end of the study. Items are marked as correct (1) or incorrect (0) and summed for a total scale range of 0 to 14, with higher scores indicating higher genomic literacy.

    Time frame: Baseline (pre and post) and Follow-up (follow-up administered approx. 53 weeks after baseline)

Secondary outcomes

  1. Active-duty Airmen Attitudes and Perceived Utility Toward Genomic Sequencing

    Adapted measures assessed participants' attitudes toward genetic information, trust of physicians and the military regarding use of genetic information. (Hall et al. 2006). Scores are summed, with higher scores on a 4-20 scale representing greater trust. A novel survey item at baseline and 6-weeks post-disclosure asked participants to rate the usefulness of whole genome sequencing results for managing health now on a 1-10 scale.

    Time frame: Baseline and 6-weeks post-disclosure (approx.. 43 weeks after baseline)

  2. Active-duty Airmen's Health Perceptions

    Assessed using a validated measure of subjective perceptions about health status. (Latham 2013, DeSalvo 2006). Responses are on a 1 - 5 scale, where higher scores indicate more positive responses.

    Time frame: Baseline and 6-weeks post-disclosure (approx.. 43 weeks after baseline)

  3. Military Healthcare Providers' Confidence With Genomic Data

    Assessed through a scale developed for the Multiplex initiative to measure provider genomic confidence (Gray SW et al 2014). Scores are summed with higher scores on a 5-20 scale indicating greater confidence in military healthcare provider-participants' abilities to understand genetic information

    Time frame: Baseline (pre and post) and Follow-up (follow-up administered approx. 53 weeks after baseline)

07

Results

Posted May 6, 2021

Participant flow

Participant flow — Overall Study
MilestoneHealthy Active-Duty Airmen CohortHealthcare Provider Cohort
Started9312
Airmen pre survey930
Underwent sequencing750
Airmen post survey690
Hcp pre survey012
Hcp post survey012
Completed6912
Not completed240

Outcome measures

PrimaryActive-duty Airmen's Perceptions About Military Use of Genomic Information to Make Career Decisions

Assessed using a novel measure of perceptions about use of genetic information for military career duty assignment decisions on a 1-5 scale, where higher scores indicate more positive attitudes.

Time frame:
Baseline and 6 weeks post disclosure of genomic sequencing results (approx. 43 weeks after baseline)
Reported as:
Mean · score on a scale
Active-duty Airmen's Perceptions About Military Use of Genomic Information to Make Career Decisions
score on a scaleHealthy Active-Duty Airmen Cohort
Baseline2.62 ± 0.75
6-weeks post-disclosure2.66 ± 0.91
PrimaryGenomic Sequencing Findings

Analysis of whole exome sequencing results identified the number of participants with genomic findings, including monogenic disease risk, carrier status, and risk allele presence.

Time frame:
Results disclosure (within 1 month of sequencing completion)
Reported as:
Count of participants · Participants
Genomic Sequencing Findings
ParticipantsHealthy Active-Duty Airmen Cohort
Monogenic disease findings — Present11
Monogenic disease findings — Not Present64
Carrier status findings — Present65
Carrier status findings — Not Present10
Risk Allele findings — Present37
Risk Allele findings — Not Present38
PrimaryActive-duty Airmen Reported Health Care Utilization Related to Study Results

Participants' health care utilization was assessed through a combination of medical record reviews and novel and adapted measures from the Behavioral Risk Factor Surveillance System (BRFSS). Survey self-report data were compared to services and procedures indicated on medical record review.

Time frame:
6 weeks post-disclosure (approx. 43 weeks after baseline)
Reported as:
Number · participants
Active-duty Airmen Reported Health Care Utilization Related to Study Results
participantsHealthy Active-Duty Airmen Cohort
Change in diet9
Change in exercise7
Change in use of vitamin supplements5
Change in use of medication5
Other change1
No change56
PrimaryMilitary Healthcare Providers' Genomic Literacy

Military healthcare provider-participants' genomic literacy were measured with a 14-item measure adapted from the ClinSeq Study (Kaphingst K.A. et al. 2012) administered at baseline, before (pre) and immediately after (post) an education session, and at Follow-up near the end of the study. Items are marked as correct (1) or incorrect (0) and summed for a total scale range of 0 to 14, with higher scores indicating higher genomic literacy.

Time frame:
Baseline (pre and post) and Follow-up (follow-up administered approx. 53 weeks after baseline)
Reported as:
Mean · score on a scale
Military Healthcare Providers' Genomic Literacy
score on a scaleHealthcare Provider Cohort
Pre test9.92 ± 1.38
Post test11.50 ± 1.45
Follow-up10.75 ± 2.25
SecondaryActive-duty Airmen Attitudes and Perceived Utility Toward Genomic Sequencing

Adapted measures assessed participants' attitudes toward genetic information, trust of physicians and the military regarding use of genetic information. (Hall et al. 2006). Scores are summed, with higher scores on a 4-20 scale representing greater trust. A novel survey item at baseline and 6-weeks post-disclosure asked participants to rate the usefulness of whole genome sequencing results for managing health now on a 1-10 scale.

Time frame:
Baseline and 6-weeks post-disclosure (approx.. 43 weeks after baseline)
Reported as:
Mean · score on a scale
Active-duty Airmen Attitudes and Perceived Utility Toward Genomic Sequencing
score on a scaleHealthy Active-Duty Airmen Cohort
Trust at baseline14.31 ± 2.47
Trust at follow-up14.10 ± 2.25
Usefulness - Baseline7.76 ± 2.11
Usefulness - follow-up7.30 ± 2.11
SecondaryActive-duty Airmen's Health Perceptions

Assessed using a validated measure of subjective perceptions about health status. (Latham 2013, DeSalvo 2006). Responses are on a 1 - 5 scale, where higher scores indicate more positive responses.

Time frame:
Baseline and 6-weeks post-disclosure (approx.. 43 weeks after baseline)
Reported as:
Mean · score on a scale
Active-duty Airmen's Health Perceptions
score on a scaleHealthy Active-Duty Airmen Cohort
Health perceptions- baseline3.95 ± 0.81
Health perceptions - follow-up3.86 ± 0.76
SecondaryMilitary Healthcare Providers' Confidence With Genomic Data

Assessed through a scale developed for the Multiplex initiative to measure provider genomic confidence (Gray SW et al 2014). Scores are summed with higher scores on a 5-20 scale indicating greater confidence in military healthcare provider-participants' abilities to understand genetic information

Time frame:
Baseline (pre and post) and Follow-up (follow-up administered approx. 53 weeks after baseline)
Reported as:
Mean · score on a scale
Military Healthcare Providers' Confidence With Genomic Data
score on a scaleHealthcare Provider Cohort
Pre-Test7.25 ± 2.05
Post-Test13.00 ± 1.41
Follow-up12.33 ± 2.29

Adverse events

Collected over From baseline survey to approximately 6 weeks after disclosure (43 weeks after baseline). Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Healthy Active-Duty Airmen Cohort0/75 (0%)0/75 (0%)0/75 (0%)
Healthcare Provider Cohort0/12 (0%)0/12 (0%)0/12 (0%)

Baseline characteristics

Age, Categorical
Age, Categorical(Participants)Healthy Active-Duty Airmen CohortHealthcare Provider CohortTotal
<=18 years000
Between 18 and 65 years9312105
>=65 years000
Age, Continuous
Age, Continuous(years)Healthy Active-Duty Airmen CohortHealthcare Provider CohortTotal
Mean33.75 ± 8.339 ± 9.2534.2 ± 8.4
Sex: Female, Male
Sex: Female, Male(Participants)Healthy Active-Duty Airmen CohortHealthcare Provider CohortTotal
Female45449
Male48856
Race/Ethnicity, Customized
Race/Ethnicity, Customized(Participants)Healthy Active-Duty Airmen CohortHealthcare Provider CohortTotal
Race/Ethnicity — Hispanic or Lation17017
Race/Ethnicity — Non-Hispanic White61667
Race/Ethnicity — Non-Hispanic Other13619
Race/Ethnicity — Prefer Not to Answer202
Region of Enrollment
Region of Enrollment(participants)Healthy Active-Duty Airmen CohortHealthcare Provider CohortTotal
United States9312105
08

Study locations

3 sites
  • Brigham and Women's Hospital
    Boston, Massachusetts 02115, United States
  • Baylor College of Medicine
    Houston, Texas 77030, United States
  • Joint Base San Antonio Lackland Air Force Base - 59th Medical Wing
    San Antonio, Texas 78236, United States
09

References and documents

Publications

  • McMorrow D. The $100 genome: implications for the DoD. Technical Report. McLean, Virginia: The MITRE Corporation; 2010.
  • De Castro M, Biesecker LG, Turner C, Brenner R, Witkop C, Mehlman M, Bradburne C, Green RC. Genomic medicine in the military. NPJ Genom Med. 2016 Jan 13;1:15008. doi: 10.1038/npjgenmed.2015.8. eCollection 2016. PubMed 29263806 ↗
  • Collins FS, Guttmacher AE. Genetics moves into the medical mainstream. JAMA. 2001 Nov 14;286(18):2322-4. doi: 10.1001/jama.286.18.2322. No abstract available. PubMed 11710899 ↗
  • Collins FS, Green ED, Guttmacher AE, Guyer MS; US National Human Genome Research Institute. A vision for the future of genomics research. Nature. 2003 Apr 24;422(6934):835-47. doi: 10.1038/nature01626. Epub 2003 Apr 14. No abstract available. PubMed 12695777 ↗
  • McCarthy JJ, McLeod HL, Ginsburg GS. Genomic medicine: a decade of successes, challenges, and opportunities. Sci Transl Med. 2013 Jun 12;5(189):189sr4. doi: 10.1126/scitranslmed.3005785. PubMed 23761042 ↗
  • Green RC, Rehm HL, Kohane IS. Clinical genome sequencing. In: Ginsburg GS, Willard HF, eds. Genomic and Personalized Medicine. 2nd ed. San Diego: Academic Press; 2013:102-22.
  • Christensen KD, Vassy JL, Jamal L, Lehmann LS, Slashinski MJ, Perry DL, Robinson JO, Blumenthal-Barby J, Feuerman LZ, Murray MF, Green RC, McGuire AL; MedSeq Project Team. Are physicians prepared for whole genome sequencing? a qualitative analysis. Clin Genet. 2016 Feb;89(2):228-34. doi: 10.1111/cge.12626. Epub 2015 Jul 7. PubMed 26080898 ↗
  • Vassy JL, Christensen KD, Slashinski MJ, Lautenbach DM, Raghavan S, Robinson JO, Blumenthal-Barby J, Feuerman LZ, Lehmann LS, Murray MF, Green RC, McGuire AL. 'Someday it will be the norm': physician perspectives on the utility of genome sequencing for patient care in the MedSeq Project. Per Med. 2015;12(1):23-32. doi: 10.2217/pme.14.68. PubMed 25642274 ↗
  • Vassy JL, Lautenbach DM, McLaughlin HM, Kong SW, Christensen KD, Krier J, Kohane IS, Feuerman LZ, Blumenthal-Barby J, Roberts JS, Lehmann LS, Ho CY, Ubel PA, MacRae CA, Seidman CE, Murray MF, McGuire AL, Rehm HL, Green RC; MedSeq Project. The MedSeq Project: a randomized trial of integrating whole genome sequencing into clinical medicine. Trials. 2014 Mar 20;15:85. doi: 10.1186/1745-6215-15-85. PubMed 24645908 ↗
  • Johnston JJ, Lewis KL, Ng D, Singh LN, Wynter J, Brewer C, Brooks BP, Brownell I, Candotti F, Gonsalves SG, Hart SP, Kong HH, Rother KI, Sokolic R, Solomon BD, Zein WM, Cooper DN, Stenson PD, Mullikin JC, Biesecker LG. Individualized iterative phenotyping for genome-wide analysis of loss-of-function mutations. Am J Hum Genet. 2015 Jun 4;96(6):913-25. doi: 10.1016/j.ajhg.2015.04.013. PubMed 26046366 ↗
  • Green RC, Lautenbach D, McGuire AL. GINA, genetic discrimination, and genomic medicine. N Engl J Med. 2015 Jan 29;372(5):397-9. doi: 10.1056/NEJMp1404776. No abstract available. PubMed 25629736 ↗
  • Robinson JO, Carroll TM, Feuerman LZ, Perry DL, Hoffman-Andrews L, Walsh RC, Christensen KD, Green RC, McGuire AL; MedSeq Project Team. Participants and Study Decliners' Perspectives About the Risks of Participating in a Clinical Trial of Whole Genome Sequencing. J Empir Res Hum Res Ethics. 2016 Feb;11(1):21-30. doi: 10.1177/1556264615624078. Epub 2016 Feb 28. PubMed 26928896 ↗
  • Vassy JL, McLaughlin HM, MacRae CA, Seidman CE, Lautenbach D, Krier JB, Lane WJ, Kohane IS, Murray MF, McGuire AL, Rehm HL, Green RC. A one-page summary report of genome sequencing for the healthy adult. Public Health Genomics. 2015;18(2):123-9. doi: 10.1159/000370102. Epub 2015 Jan 21. Erratum In: Public Health Genomics. 2015 Apr;18(3):191. McLaughlin, Heather L [corrected to McLaughlin, Heather M]. PubMed 25612602 ↗
  • Krier J, McLaughlin HM, Lane WJ, et al. The return of pharmacogenomic variants in the MedSeq Project: reporting approach and physician response. Annual Meeting of the American Society of Human Genetics. Boston, MA2013
  • Lane WJ, Westhoff CM, Uy JM, Aguad M, Smeland-Wagman R, Kaufman RM, Rehm HL, Green RC, Silberstein LE; MedSeq Project. Comprehensive red blood cell and platelet antigen prediction from whole genome sequencing: proof of principle. Transfusion. 2016 Mar;56(3):743-54. doi: 10.1111/trf.13416. Epub 2015 Dec 3. PubMed 26634332 ↗
  • Giovanni MA, Krier J, Vassy JL, Lautenbach DM, Green RC, Murray MF. A brief curriculum for physician orientation to clinical whole genome sequencing. American Society of Human Genetics Annual Meeting. Boston, MA2013.
  • Krier JB, Blout CB, D L, et al. Communication and management of genomic sequencing results by non-geneticist physicians. American Society of Human Genetics; 2015; Baltimore, MD.
  • Green RC, Goddard KAB, Jarvik GP, Amendola LM, Appelbaum PS, Berg JS, Bernhardt BA, Biesecker LG, Biswas S, Blout CL, Bowling KM, Brothers KB, Burke W, Caga-Anan CF, Chinnaiyan AM, Chung WK, Clayton EW, Cooper GM, East K, Evans JP, Fullerton SM, Garraway LA, Garrett JR, Gray SW, Henderson GE, Hindorff LA, Holm IA, Lewis MH, Hutter CM, Janne PA, Joffe S, Kaufman D, Knoppers BM, Koenig BA, Krantz ID, Manolio TA, McCullough L, McEwen J, McGuire A, Muzny D, Myers RM, Nickerson DA, Ou J, Parsons DW, Petersen GM, Plon SE, Rehm HL, Roberts JS, Robinson D, Salama JS, Scollon S, Sharp RR, Shirts B, Spinner NB, Tabor HK, Tarczy-Hornoch P, Veenstra DL, Wagle N, Weck K, Wilfond BS, Wilhelmsen K, Wolf SM, Wynn J, Yu JH; CSER Consortium. Clinical Sequencing Exploratory Research Consortium: Accelerating Evidence-Based Practice of Genomic Medicine. Am J Hum Genet. 2016 Jun 2;98(6):1051-1066. doi: 10.1016/j.ajhg.2016.04.011. Epub 2016 May 12. PubMed 27181682 ↗
  • Berg JS, Agrawal PB, Bailey DB Jr, Beggs AH, Brenner SE, Brower AM, Cakici JA, Ceyhan-Birsoy O, Chan K, Chen F, Currier RJ, Dukhovny D, Green RC, Harris-Wai J, Holm IA, Iglesias B, Joseph G, Kingsmore SF, Koenig BA, Kwok PY, Lantos J, Leeder SJ, Lewis MA, McGuire AL, Milko LV, Mooney SD, Parad RB, Pereira S, Petrikin J, Powell BC, Powell CM, Puck JM, Rehm HL, Risch N, Roche M, Shieh JT, Veeraraghavan N, Watson MS, Willig L, Yu TW, Urv T, Wise AL. Newborn Sequencing in Genomic Medicine and Public Health. Pediatrics. 2017 Feb;139(2):e20162252. doi: 10.1542/peds.2016-2252. Epub 2017 Jan 17. PubMed 28096516 ↗
  • Kaphingst KA, Facio FM, Cheng MR, Brooks S, Eidem H, Linn A, Biesecker BB, Biesecker LG. Effects of informed consent for individual genome sequencing on relevant knowledge. Clin Genet. 2012 Nov;82(5):408-15. doi: 10.1111/j.1399-0004.2012.01909.x. Epub 2012 Aug 7. PubMed 22694298 ↗
  • Bowling BV, Acra EE, Wang L, Myers MF, Dean GE, Markle GC, Moskalik CL, Huether CA. Development and evaluation of a genetics literacy assessment instrument for undergraduates. Genetics. 2008 Jan;178(1):15-22. doi: 10.1534/genetics.107.079533. PubMed 18202354 ↗
  • Gray SW, Hicks-Courant K, Cronin A, Rollins BJ, Weeks JC. Physicians' attitudes about multiplex tumor genomic testing. J Clin Oncol. 2014 May 1;32(13):1317-23. doi: 10.1200/JCO.2013.52.4298. Epub 2014 Mar 24. PubMed 24663044 ↗
  • Selim AJ, Rogers W, Qian SX, Brazier J, Kazis LE. A preference-based measure of health: the VR-6D derived from the veterans RAND 12-Item Health Survey. Qual Life Res. 2011 Oct;20(8):1337-47. doi: 10.1007/s11136-011-9866-y. Epub 2011 Feb 19. PubMed 21336657 ↗

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: Undecided

10

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from Aug 2017 to primary completion in Jun 2019, 21 months.

Results were first posted in May 2021, 1 year 10 months after primary completion.

Of 57 non-industry interventional studies with no phase under Genetic Predisposition to Disease, half reached primary completion within 36 months of starting (the median), counting those still running; a quarter within 18 and three quarters within 128. This study's 21 months is below that.

Counting every sponsor, half of 57 studies reached it within 36 months; a quarter within 18 and three quarters within 128.

How these figures are worked out, and which studies are left out of them.

Registered
Aug 31, 2017
First posted
Sep 8, 2017
StartActual
Aug 23, 2017
Primary completionActual
Jun 22, 2019
CompletionActual
Jan 11, 2020
Results first posted
May 6, 2021
Last update
Oct 2, 2024
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Oct 2, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT03276637
Collaborators
United States Department of Defense
Responsible party
Robert C. Green, MD, MPH (Professor of Medicine, Division of Genetics, Department of Medicine, Brigham and Women's Hospital) — Principal investigator
First posted
Sep 8, 2017
Start date
Aug 23, 2017
Primary completion
Jun 22, 2019
Completion
Jan 11, 2020
Results posted
May 6, 2021
Last update
Oct 2, 2024

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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