Evidence map›Paper›PMID 23272691›Full record

ArticleDiscovery medicine2012

Mitochondrial disease genetic diagnostics: optimized whole-exome analysis for all MitoCarta nuclear genes and the mitochondrial genome.

Marni J Falk, Eric A Pierce, Mark Consugar, Michael H Xie, Moraima Guadalupe, Owen Hardy, Eric F Rappaport, Douglas C Wallace, Emily LeProust, Xiaowu Gai

Abstract read
In one paragraph

Article in Discovery medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

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

  1. Pooled it
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  17. The diagnostic utility of genome sequencing in a pediatric cohort with suspected mitochondrial disease.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
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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

10 authors.

Marni J FalkDivision of Human Genetics and Division of Child Development and Metabolic Disease, Department of Pediatrics, The Children's Hospital of Philadelphia and University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104, USA. falkm@email.chop.edu
Eric A Pierce
Mark Consugar
Michael H Xie
Moraima Guadalupe
Owen Hardy
Eric F Rappaport
Douglas C Wallace
Emily LeProust
Xiaowu Gai

Funding

Precision Medicine for Inherited Retinal DegenerationsR01EY012910 · NEI · UNIVERSITY OF PENNSYLVANIA · PI Eric A Pierce · 1999 to 2026
$15.9M
Transcriptional Profiling of Metabolic Pathways in Mitochondrial DiseaseR03DK082521 · NIDDK · CHILDREN'S HOSP OF PHILADELPHIA · PI FALK, MARNI J · 2009 to 2010
$157k
NEI NIH HHS R01 EY012910NIDDK NIH HHS R03-DK082446NIDDK NIH HHS R03 DK082521
6 · The paper itself

Abstract

Discovering causative genetic variants in individual cases of suspected mitochondrial disease requires interrogation of both the mitochondrial (mtDNA) and nuclear genomes. Whole-exome sequencing can support simultaneous dual-genome analysis, although currently available capture kits do not target the mtDNA genome and provide insufficient capture for some nuclear-encoded mitochondrial genes. To optimize interrogation of nuclear and mtDNA genes relevant to mitochondrial biology and disease, a custom SureSelect "Mito-Plus" whole-exome library was formulated by blending RNA "baits" from three separate designs: (A) Agilent Technologies SureSelectXT 50 Mb All Exon PLUS Targeted Enrichment Kit, (B) 16-gene nuclear panel targeting sequences for known MitoCarta proteins not included in the 50 Mb All Exon design, and (C) sequences targeting the entire mtDNA genome. The final custom formulations consisted of a 1:1 ratio of nuclear baits to which a 1 to 1,000-fold diluted ratio of mtDNA genome baits were blended. Patient sample capture libraries were paired-end sequenced on an Illumina HiSeq 2000 system using v3.0 SBS chemistry. mtDNA genome coverage varied depending on the mtDNA:nuclear blend ratio, where a 1:100 ratio provided optimal dual-genome coverage with 10X coverage for over 97.5% of all targeted nuclear regions and 1,000X coverage for 99.8% of the mtDNA genome. mtDNA mutations were reliably detected to at least an 8% heteroplasmy level, as discriminated both from sequencing errors and potential contamination from nuclear mtDNA transcripts (Numts). The "1:100 Mito-Plus Whole-Exome" Agilent capture kit offers an optimized tool for whole-exome analysis of nuclear and mtDNA genes relevant to the diagnostic evaluation of mitochondrial disease.

Indexed as

Cell NucleusDNA, MitochondrialDNA ProbesExomeGenome, MitochondrialHumansMitochondrial DiseasesReagent Kits, DiagnosticReproducibility of ResultsSequence Analysis, DNADNA, MitochondrialDNA ProbesReagent Kits, Diagnostic

Identifiers

PMID23272691
PMCPMC3923327

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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.