Evidence map›Paper›PMID 29915382›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2019

Targeted exome analysis identifies the genetic basis of disease in over 50% of patients with a wide range of ataxia-related phenotypes.

Miao Sun, Amy Knight Johnson, Viswateja Nelakuditi, Lucia Guidugli, David Fischer, Kelly Arndt, Lan Ma, Erin Sandford, Vikram Shakkottai, Kym Boycott and 7 more

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

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

  1. Pooled it
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

17 authors.

Miao Sun *Department of Human Genetics, The University of Chicago, Chicago, IL, USA.
Amy Knight Johnson *Department of Human Genetics, The University of Chicago, Chicago, IL, USA.
Viswateja NelakuditiDepartment of Human Genetics, The University of Chicago, Chicago, IL, USA.
Lucia GuidugliDepartment of Human Genetics, The University of Chicago, Chicago, IL, USA.
David FischerDepartment of Human Genetics, The University of Chicago, Chicago, IL, USA.
Kelly ArndtDepartment of Human Genetics, The University of Chicago, Chicago, IL, USA.
Lan MaDepartment of Human Genetics, The University of Chicago, Chicago, IL, USA.
Erin SandfordMolecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA.
Vikram ShakkottaiDepartment of Neurology, Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA.
Kym BoycottDepartment of Genetics, Children's Hospital of Eastern Ontario, Ottawa, ON, Canada.
Jodi Warman-ChardonDepartment of Genetics, Children's Hospital of Eastern Ontario, Ottawa, ON, Canada.
Zejuan LiDepartment of Human Genetics, The University of Chicago, Chicago, IL, USA.
Daniela Del GaudioDepartment of Human Genetics, The University of Chicago, Chicago, IL, USA.
Margit BurmeisterMolecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA.
Christopher M GomezDepartment of Neurology, The University of Chicago, Chicago, IL, USA.
Darrel J WaggonerDepartment of Human Genetics, The University of Chicago, Chicago, IL, USA.
Soma DasDepartment of Human Genetics, The University of Chicago, Chicago, IL, USA. sdas@genetics.uchicago.edu.

Funding

Ataxia gene identification by integrated genomic analysisR01NS078560 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BURMEISTER, MARGIT, LI, JUN · 2012 to 2015
$2.1M
NINDS NIH HHS R01 NS078560
6 · The paper itself

Abstract

purposeTo examine the impact of a targeted exome approach for the molecular diagnosis of patients nationwide with a wide range of ataxia-related phenotypes.

methodsOne hundred and seventy patients with ataxia of unknown etiology referred from clinics throughout the United States and Canada were studied using a targeted exome approach. Patients ranged in age from 2 to 88 years. Analysis was focused on 441 curated genes associated with ataxia and ataxia-like conditions.

resultsPathogenic and suspected diagnostic variants were identified in 88 of the 170 patients, providing a positive molecular diagnostic rate of 52%. Forty-six different genes were implicated, with the six most commonly mutated genes being SPG7, SYNE1, ADCK3, CACNA1A, ATP1A3, and SPTBN2, which accounted for >40% of the positive cases. In many cases a diagnosis was provided for conditions that were not suspected and resulted in the broadening of the clinical spectrum of several conditions.

conclusionExome sequencing with targeted analysis provides a high-yield approach for the genetic diagnosis of ataxia-related conditions. This is the largest targeted exome study performed to date in patients with ataxia and ataxia-like conditions and represents patients with a wide range of ataxia phenotypes typically encountered in neurology and genetics clinics.

Indexed as

Exome SequencingGenetic Predisposition to DiseaseAdolescentAdultAgedAged, 80 and overAtaxiaCanadaChildChild, PreschoolExomeFemaleHumansMaleMiddle AgedMutationataxiaclinicaldiagnosisexome sequencingmolecular genetics

Identifiers

PMID29915382
PMCPMC6524765

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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.