Evidence map›Paper›PMID 24502676›Full record

ArticleBMC medical genetics2014

A simple method for gene phasing using mate pair sequencing.

Kendall W Cradic, Stephen J Murphy, Travis M Drucker, Robert A Sikkink, Norman L Eberhardt, Claudia Neuhauser, George Vasmatzis, Stefan K G Grebe

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 17% of its field
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

3 citing papers in PubMed, 13 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Kendall W Cradic
Stephen J Murphy
Travis M Drucker
Robert A Sikkink
Norman L Eberhardt
Claudia Neuhauser
George VasmatzisDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA. vasmatzis.george@mayo.edu.
Stefan K G Grebe
Mayo Clinic in Arizona · USMayo Clinic · USMayo Clinic in Florida · USUniversity of Minnesota Rochester · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecessive genes cause disease when both copies are affected by mutant loci. Resolving the cis/trans relationship of variations has been an important problem both for researchers, and increasingly, clinicians. Of particular concern are patients who have two heterozygous disease-causing mutations and could be diagnosed as affected (one mutation on each allele) or as phenotypically normal (both mutations on the same allele). Several methods are currently used to phase genes, however due to cost, complexity and/or low sensitivity they are not suitable for clinical purposes.

methodsLong-range amplification was used to select and enrich the target gene (CYP21A2) followed by modified mate-pair sequencing. Fragments that mapped coincidently to two heterozygous sites were identified and used for statistical analysis.

resultsProbabilities for cis/trans relationships between heterozygous positions were calculated along with 99% confidence intervals over the entire length of our 10 kb amplicons. The quality of phasing was closely related to the depth of coverage and the number of erroneous reads. Most of the error was found to have been introduced by recombination in the PCR reaction.

conclusionsWe have developed a simple method utilizing massively parallel sequencing that is capable of resolving two alleles containing multiple heterozygous positions. This method stands out among other phasing tools because it provides quantitative results allowing confident haplotype calls.

Indexed as

HaplotypesHeterozygotePolymerase Chain ReactionProbabilityResearch DesignSequence AnalysisSteroid 21-HydroxylaseSteroid 21-Hydroxylase

Identifiers

PMID24502676
PMCPMC3930533
OpenAlexW2004017441

What OpenQuestion holds

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LicenceCC BY
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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.