Evidence map›Paper›PMID 29457793›Full record

ArticleNature methods2018

Identifying the favored mutation in a positive selective sweep.

Ali Akbari, Joseph J Vitti, Arya Iranmehr, Mehrdad Bakhtiari, Pardis C Sabeti, Siavash Mirarab, Vineet Bafna

Abstract read
In one paragraph

Article in Nature methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

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

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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.

Ali AkbariDepartment of Electrical & Computer Engineering, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-5000-5876
Joseph J VittiDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA.
Arya IranmehrDepartment of Electrical & Computer Engineering, University of California San Diego, La Jolla, California, USA.
Mehrdad BakhtiariDepartment of Computer Science & Engineering, University of California San Diego, La Jolla, California, USA.ORCID 0000-0001-9027-9858
Pardis C SabetiDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA.
Siavash MirarabDepartment of Electrical & Computer Engineering, University of California San Diego, La Jolla, California, USA.
Vineet BafnaDepartment of Computer Science & Engineering, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-5810-6241

Funding

Computational methods for detecting patterns of complex genomic variationR01GM114362 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Vineet Bafna · 2016 to 2026
$3.1M
NIGMS NIH HHS R01 GM114362
6 · The paper itself

Abstract

Most approaches that capture signatures of selective sweeps in population genomics data do not identify the specific mutation favored by selection. We present iSAFE (for "integrated selection of allele favored by evolution"), a method that enables researchers to accurately pinpoint the favored mutation in a large region (∼5 Mbp) by using a statistic derived solely from population genetics signals. iSAFE does not require knowledge of demography, the phenotype under selection, or functional annotations of mutations.

Indexed as

GenomicsNucleic Acid Amplification TechniquesAllelesBiological EvolutionHaplotypesHumansMutationNucleic Acid Hybridization

Identifiers

PMID29457793
PMCPMC6231406

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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.