Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 278

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Public Expectations for Return of Results from Large-Cohort Genetic Research

Open access
Murphy, Juli, Scott, Joan, Kaufman, David, Geller, Gail, LeRoy, Lisa, Hudson, Kathy·2008·The American Journal of Bioethics

Abstract

The National Institutes of Health and other federal health agencies are considering establishing a national biobank to study the roles of genes and environment in human health. A preliminary public engagement study was conducted to assess public attitudes and concerns about the proposed biobank, including the expectations for return of individual research results. A total of 141 adults of different ages, incomes, genders, ethnicities, and races participated in 16 focus groups in six locations across the country. Focus group participants voiced a strong desire to be able to access individual research results. Recognizing the wide range of possible research results from a large cohort study, they repeatedly and spontaneously suggested that cohort study participants be given ongoing choices as to which results they received.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/15265160802513093

Cites

28 of 28 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 28 references

Cited by

See all 278

Metadata

Authors
Murphy, J., Scott, J., Kaufman, D., Geller, G., LeRoy, L., & Hudson, K.
Venue
The American Journal of Bioethics
Published
2008-12-05
Volume
8
Issue
11
Pages
36-43
ISSN
  • 1526-5161 (ISSN-L)
  • 1536-0075
OpenAlex
W1975765667
Cited by
278
References
28
FWCI
14.26
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Public Expectations for Return of Results from Large-Cohort Genetic Research. https://app.cochat.ai/papers/10.1080/15265160802513093
The paper
Murphy, J., Scott, J., Kaufman, D., Geller, G., LeRoy, L., & Hudson, K. (2008). Public Expectations for Return of Results from Large-Cohort Genetic Research. The American Journal of Bioethics. https://doi.org/10.1080/15265160802513093

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.