Evidence map›Paper›PMID 42400015›Full record

ArticleBMC medical genomics2026

Elective genomic sequencing for adults in research, clinical and commercial contexts.

Michael D Linderman, Sophia M Adelson, Tala M Berro, Jennifer L Anderson, Scott D Crawford, Tshaka J Cunningham, Edward D Esplin, Altovise T Ewing-Crawford, Daiva E Nielsen, Stacey Pereira and 18 more

Abstract read
In one paragraph

Article in BMC medical genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors.

Michael D LindermanDepartment of Computer Science, Middlebury College, Middlebury, VT, USA. mlinderman@middlebury.edu.
Sophia M AdelsonDepartment of Medicine, Mass General Brigham, Boston, MA, USA.
Tala M BerroDepartment of Medicine, Mass General Brigham, Boston, MA, USA.
Jennifer L AndersonCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Scott D CrawfordSoundRocket, Ann Arbor, MI, USA.
Tshaka J CunninghamFaith Based Genetic Research Institute, Detroit, MI, USA.
Edward D EsplinLabcorp Genetics, San Francisco, CA, USA.
Altovise T Ewing-CrawfordInGENEuity, Pulaski, TN, USA.
Daiva E NielsenSchool of Human Nutrition, McGill University, Montreal, QC, Canada.
Stacey PereiraCenter for Medical Ethics & Health Policy, Baylor College of Medicine, Houston, TX, USA.
Tara SchmidlenNest Genomics, Beaverton, OR, USA.
Heather AndrighettiMedcan, Toronto, ON, Canada.
Steven B BleylGenome Medical Services, S. San Francisco, CA, USA.
George M ChurchOpen Humans Foundation, Sanford, NC, USA.
Eden V HaverfieldGenomic Life, La Jolla, CA, USA.
Madhuri HegdeRevvity, Waltham, MA, USA.
Lazaridis N KonstantinosCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Paul KruszkaPediatric Genetics, University of Virginia, Charlottesville, VA, USA.
Debra LeonardDepartment of Pathology and Laboratory Medicine, University of Vermont, Burlington, VT, USA.
Thomas MayDepartment of Community and Behavioral Health, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA.
Molly McGinnissAlcance Genomics, San Diego, CA, USA.
Vaibhav Pandya, Danville, CA, USA.
Eric E SchadtDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Bastian Greshake TzovarasOpen Humans Foundation, Sanford, NC, USA.
Bethany ZettlerDepartment of Medicine, Mass General Brigham, Boston, MA, USA.
Amy L McGuireCenter for Medical Ethics & Health Policy, Baylor College of Medicine, Houston, TX, USA.
Robert C GreenDepartment of Medicine, Mass General Brigham, Boston, MA, USA. rcgreen@bwh.harvard.edu.
PeopleSeq Study Team

Funding

Experiences and Outcomes in Early Adopters of Predispositional SequencingR01HG009922 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI GREEN, ROBERT C. · 2018 to 2020
$2.6M
Developing a Genomics Literacy MeasureR03HG008809 · NHGRI · MIDDLEBURY COLLEGE · PI LINDERMAN, MICHAEL DAVID · 2016 to 2017
$128k
NHGRI NIH HHS R01 HG009922NHGRI NIH HHS R01-HG009922NHGRI NIH HHS R03 HG008809NHGRI NIH HHS R03-HG008809
6 · The paper itself

Abstract

purposeElective genomic sequencing (EGS) returns monogenic disease findings in multiple genes, including potentially novel variants, and may also provide participants with carrier status, pharmacogenomic and other health-related information. The PeopleSeq Study assessed participants' motivations for and concerns about EGS and the associated clinical and psychosocial outcomes across diverse EGS providers.

methodsWe administered a shared questionnaire to participants who chose to undergo EGS via 18 academic, clinical, or commercial EGS platforms.

resultsWe enrolled 1575 participants, of whom 1147 (72.8%) completed a questionnaire after receiving their EGS results. A majority (60.3%) of the participants who completed a post-result questionnaire self-reported receiving results they assessed as important, including negative findings, and 75.9% reported a form of health-related utility. Among a subset (19.4%) who shared their EGS reports, 16.6% (37 of n = 223) received a monogenic finding and self-reported results deemed "important" were consistent with EGS reports. Most participants (74.1%) discussed their results with their family, but fewer discussed their results with a healthcare provider other than the site team (41.7%) or had one or more medical visits as a direct result of their EGS testing (23.1%). Participants expressed diverse motivations for EGS, with 91.4% expressing interest in their personal disease risk and 54% who expressed quasi-indication-based motivations related to family medical history. Individuals motivated by family history reported important results at a significantly higher rate.

conclusionsEarly adopters of EGS are motivated by general interest in their health as well as quasi-indication-based considerations such as family history. A majority of participants learned results they considered medically important, but a much smaller segment engaged healthcare providers with their results.

Indexed as

Genetic TestingGenomicsAdultFemaleHumansMaleMiddle AgedMotivationReturn of Individual Research ResultsSurveys and QuestionnairesGenomic testingOutcomesPersonalized medicineReturn of results

Identifiers

PMID42400015
PMCPMC13632289

What OpenQuestion holds

Textmetadata
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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.