Evidence map›Paper›PMID 37541241›Full record

ReviewAmerican journal of human genetics2023

Ethical considerations when co-analyzing ancient DNA and data from private genetic databases.

Éadaoin Harney, Kendra Sirak, Jakob Sedig, Steven Micheletti, Roslyn Curry, Samantha Ancona Esselmann, David Reich

Abstract readReview
In one paragraph

Review in American journal of human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Éadaoin Harney23andMe, Inc., Sunnyvale, CA 94043, USA; Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA. Electronic address: eadaoinh@23andme.com.
Kendra SirakDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Jakob SedigDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Steven Micheletti23andMe, Inc., Sunnyvale, CA 94043, USA.
Roslyn Curry23andMe, Inc., Sunnyvale, CA 94043, USA; Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.
Samantha Ancona Esselmann23andMe, Inc., Sunnyvale, CA 94043, USA.
David ReichDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA; Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.

Funding

Population mixture in evolutionary and medical geneticsR01GM100233 · NIGMS · HARVARD MEDICAL SCHOOL · PI PATTERSON, NICK J, REICH, DAVID E · 2012 to 2019
$2.7M
Howard Hughes Medical InstituteNIGMS NIH HHS R01 GM100233
6 · The paper itself

Abstract

Ancient DNA studies have begun to explore the possibility of identifying identical DNA segments shared between historical and living people. This research requires access to large genetic datasets to maximize the likelihood of identifying previously unknown, close genetic connections. Direct-to-consumer genetic testing companies, such as 23andMe, Inc., manage by far the largest and most diverse genetic databases that can be used for this purpose. It is therefore important to think carefully about guidelines for carrying out collaborations between researchers and such companies. Such collaborations require consideration of ethical issues, including policies for sharing ancient DNA datasets, and ensuring reproducibility of research findings when access to privately controlled genetic datasets is limited. At the same time, they introduce unique possibilities for returning results to the research participants whose data are analyzed, including those who are identified as close genetic relatives of historical individuals, thereby enabling ancient DNA research to contribute to the restoration of information about ancestral connections that were lost over time, which can be particularly meaningful for families and groups where such history has not been well documented. We explore these issues by describing our experience designing and carrying out a study searching for genetic connections between 18th- and 19th-century enslaved and free African Americans who labored at Catoctin Furnace, Maryland, and 23andMe research participants. We share our experience in the hope of helping future researchers navigate similar ethical considerations, recognizing that our perspective is part of a larger conversation about best ethical practices.

Indexed as

CommunicationDNA, AncientDatabases, GeneticDNAHumansReproducibility of ResultsDNADNA, Ancient

Identifiers

PMID37541241
PMCPMC10502734

What OpenQuestion holds

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Registered trials

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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.