Evidence map›Paper›PMID 30309907›Full record

ArticleScience (New York, N.Y.)2018

Identity inference of genomic data using long-range familial searches.

Yaniv Erlich, Tal Shor, Itsik Pe'er, Shai Carmi

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed, 1 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

131 citing papers in PubMed, 1 synthesis or guideline pooled it.

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71 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Yaniv ErlichMyHeritage, Or Yehuda 6037606, Israel. erlichya@gmail.com.ORCID 0000-0003-3257-8387
Tal ShorMyHeritage, Or Yehuda 6037606, Israel.ORCID 0000-0003-1432-7461
Itsik Pe'erDepartment of Computer Science, Fu Foundation School of Engineering, Columbia University, New York, NY, USA.ORCID 0000-0002-6128-7231
Shai CarmiBraun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.ORCID 0000-0002-0188-2610

Funding

Next Generation Sequencing for Disease Mapping in a Founder PopulationR01MH095458 · NIMH · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI DARVASI, ARIEL, LENCZ, TODD · 2013 to 2016
$3.8M
NIMH NIH HHS R01 MH095458
6 · The paper itself

Abstract

Consumer genomics databases have reached the scale of millions of individuals. Recently, law enforcement authorities have exploited some of these databases to identify suspects via distant familial relatives. Using genomic data of 1.28 million individuals tested with consumer genomics, we investigated the power of this technique. We project that about 60% of the searches for individuals of European descent will result in a third-cousin or closer match, which theoretically allows their identification using demographic identifiers. Moreover, the technique could implicate nearly any U.S. individual of European descent in the near future. We demonstrate that the technique can also identify research participants of a public sequencing project. On the basis of these results, we propose a potential mitigation strategy and policy implications for human subject research.

Indexed as

Databases, GeneticGenetic PrivacyPedigreeFamily RelationsGenomicsHumans

Identifiers

PMID30309907
PMCPMC7549546

What OpenQuestion holds

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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.