Evidence map›Paper›PMID 26402243›Full record

ArticlePLoS genetics2015

Predicting Carriers of Ongoing Selective Sweeps without Knowledge of the Favored Allele.

Roy Ronen, Glenn Tesler, Ali Akbari, Shay Zakov, Noah A Rosenberg, Vineet Bafna

Erratum issuedAbstract read
In one paragraph

Article in PLoS genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Roy RonenBioinformatics Graduate Program, University of California, San Diego, La Jolla, California, United States of America.
Glenn TeslerDepartment of Mathematics, University of California, San Diego, La Jolla, California, United States of America.
Ali AkbariDepartment of Electrical & Computer Engineering, University of California, San Diego, La Jolla, California, United States of America.
Shay ZakovDepartment of Computer Science & Engineering, University of California, San Diego, La Jolla, California, United States of America.
Noah A RosenbergDepartment of Biology, Stanford University, Stanford, California, United States of America.
Vineet BafnaDepartment of Computer Science & Engineering, University of California, San Diego, La Jolla, California, United States of America.

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

Methods for detecting the genomic signatures of natural selection have been heavily studied, and they have been successful in identifying many selective sweeps. For most of these sweeps, the favored allele remains unknown, making it difficult to distinguish carriers of the sweep from non-carriers. In an ongoing selective sweep, carriers of the favored allele are likely to contain a future most recent common ancestor. Therefore, identifying them may prove useful in predicting the evolutionary trajectory--for example, in contexts involving drug-resistant pathogen strains or cancer subclones. The main contribution of this paper is the development and analysis of a new statistic, the Haplotype Allele Frequency (HAF) score. The HAF score, assigned to individual haplotypes in a sample, naturally captures many of the properties shared by haplotypes carrying a favored allele. We provide a theoretical framework for computing expected HAF scores under different evolutionary scenarios, and we validate the theoretical predictions with simulations. As an application of HAF score computations, we develop an algorithm (PreCIOSS: Predicting Carriers of Ongoing Selective Sweeps) to identify carriers of the favored allele in selective sweeps, and we demonstrate its power on simulations of both hard and soft sweeps, as well as on data from well-known sweeps in human populations.

Indexed as

AllelesGenetic Carrier ScreeningSelection, GeneticAlgorithmsHaplotypesHumansModels, Theoretical

Identifiers

PMID26402243
PMCPMC4581834

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.