Evidence map›Paper›PMID 26036856›Full record

ArticleEuropean journal of human genetics : EJHG2016

Motivations, concerns and preferences of personal genome sequencing research participants: Baseline findings from the HealthSeq project.

Saskia C Sanderson, Michael D Linderman, Sabrina A Suckiel, George A Diaz, Randi E Zinberg, Kadija Ferryman, Melissa Wasserstein, Andrew Kasarskis, Eric E Schadt

Erratum issuedAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 59 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Elective genomic sequencing for adults in research, clinical and commercial contexts.medRxiv : the preprint server for health sciences · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 'Research ethics · 2024
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Establishing the Medical Actionability of Genomic Variants.Annual review of genomics and human genetics · 2022
    Review
  19. Article
  20. Perspectives of diverse Spanish- and English-speaking patients on the clinical use of polygenic risk scores.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Saskia C SandersonDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Michael D LindermanDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Sabrina A SuckielDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
George A DiazDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Randi E ZinbergDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Kadija FerrymanThe New School for Social Research, New York, NY, USA.
Melissa WassersteinDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Andrew KasarskisDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Eric E SchadtDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Funding

Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI STREAMSON C CHUA · 2015 to 2026
$27.7M
Integrative Network Biology Approaches to Identify, Characterize and Validate Molecular Subtypes in Alzheimer's DiseaseU01AG046170 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WANG, MINGHUI, ZHANG, BIN · 2013 to 2022
$26.0M
TRAINING PROGRAM IN MOLECULAR AND CELLULAR CARDIOLOGYT32HL007824 · NHLBI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI GELB, BRUCE D · 1995 to 2022
$8.6M
Molecular studies of Noonan syndrome and related disordersR01HL071207 · NHLBI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI GELB, BRUCE D · 2002 to 2016
$5.9M
Systems Biology based Proteogenomic Translator for Cancer Marker Discovery towards Precision MedicineU24CA210993 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SCHADT, ERIC E, WANG, PEI · 2016 to 2020
$4.6M
1/3-Networks from Multidimensional Data for Schizophrenia and Related DisordersR01MH097276 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SCHADT, ERIC E, SKLAR, PAMELA · 2012 to 2014
$2.5M
NCI NIH HHS U24 CA210993NHLBI NIH HHS R01 HL071207NHLBI NIH HHS T32 HL007824NIA NIH HHS U01 AG046170NIDDK NIH HHS P30 DK020541NIMH NIH HHS R01 MH097276
6 · The paper itself

Abstract

Whole exome/genome sequencing (WES/WGS) is increasingly offered to ostensibly healthy individuals. Understanding the motivations and concerns of research participants seeking out personal WGS and their preferences regarding return-of-results and data sharing will help optimize protocols for WES/WGS. Baseline interviews including both qualitative and quantitative components were conducted with research participants (n=35) in the HealthSeq project, a longitudinal cohort study of individuals receiving personal WGS results. Data sharing preferences were recorded during informed consent. In the qualitative interview component, the dominant motivations that emerged were obtaining personal disease risk information, satisfying curiosity, contributing to research, self-exploration and interest in ancestry, and the dominant concern was the potential psychological impact of the results. In the quantitative component, 57% endorsed concerns about privacy. Most wanted to receive all personal WGS results (94%) and their raw data (89%); a third (37%) consented to having their data shared to the Database of Genotypes and Phenotypes (dbGaP). Early adopters of personal WGS in the HealthSeq project express a variety of health- and non-health-related motivations. Almost all want all available findings, while also expressing concerns about the psychological impact and privacy of their results.

Indexed as

Genome, HumanAdultAgedChromosome MappingExomeFemaleGenetic PrivacyHigh-Throughput Nucleotide SequencingHumansInformation DisseminationInformed ConsentLongitudinal StudiesMaleMiddle AgedMotivationPrecision Medicine

Identifiers

PMID26036856
PMCPMC4795230

What OpenQuestion holds

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LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.