Evidence map›Paper›PMID 31908268›Full record

ArticleeLife2020

Attacks on genetic privacy via uploads to genealogical databases.

Michael D Edge, Graham Coop

Abstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  14. Germans and Genes on Screen: Marvel'sJournal of literature and science · 2021
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Michael D EdgeCenter for Population Biology, University of California, Davis, Davis, United States.ORCID 0000-0001-8773-2906
Graham CoopCenter for Population Biology, University of California, Davis, Davis, United States.ORCID 0000-0001-8431-0302

Funding

Genome-wide approaches to polygenic adaptationR01GM108779 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI COOP, GRAHAM · 2014 to 2019
$1.0M
Reconstructing the history of polygenic adaptation using ancestral recombimation graphsF32GM130050 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI EDGE, MICHAEL DONALD · 2018 to 2020
$101k
NIGMS NIH HHS F32 GM130050NIGMS NIH HHS R01 GM108779NIH HHS GM108779NIH HHS GM130050
6 · The paper itself

Abstract

Direct-to-consumer (DTC) genetics services are increasingly popular, with tens of millions of customers. Several DTC genealogy services allow users to upload genetic data to search for relatives, identified as people with genomes that share identical by state (IBS) regions. Here, we describe methods by which an adversary can learn database genotypes by uploading multiple datasets. For example, an adversary who uploads approximately 900 genomes could recover at least one allele at SNP sites across up to 82% of the genome of a median person of European ancestries. In databases that detect IBS segments using unphased genotypes, approximately 100 falsified uploads can reveal enough genetic information to allow genome-wide genetic imputation. We provide a proof-of-concept demonstration in the GEDmatch database, and we suggest countermeasures that will prevent the exploits we describe.

Indexed as

Genetic PrivacyDatabases, GeneticData ManagementHumansevolutionary biologygenetic genealogygenetic privacygeneticsgenomicshumanidentity by descentidentity by state

Identifiers

PMID31908268
PMCPMC6992384

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.