Evidence map›Paper›PMID 34672957›Full record

ArticleCell systems2021

Paving the path toward genomic privacy with secure imputation.

Maxwell A Sherman

Abstract readComment
PubMed Publisher
In one paragraph

Article in Cell systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Maxwell A ShermanComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA; Harvard-MIT Health Sciences and Technology Program, Cambridge, MA, USA; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Electronic address: maxas@mit.edu.

Funding

Exploring the role of genetic structural variation in neuropsychiatric diseasesF31MH124393 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SHERMAN, MAXWELL AARON · 2020 to 2022
$109k
NIMH NIH HHS F31 MH124393
6 · The paper itself

Abstract

Ensuring the privacy of participants in genomic studies is a critical responsibility of the biomedical community. Accurate and efficient implementations of secure genotype imputation highlight practical approaches to safeguard sensitive genomic data that can be adapted for numerous bioinformatics applications.

Indexed as

GenomicsPrivacyGenome-Wide Association StudyGenotypeHumans

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.