Evidence map›Paper›PMID 21487076›Full record

ArticleGenome research2011

Exome sequencing and disease-network analysis of a single family implicate a mutation in KIF1A in hereditary spastic paraparesis.

Yaniv Erlich, Simon Edvardson, Emily Hodges, Shamir Zenvirt, Pramod Thekkat, Avraham Shaag, Talya Dor, Gregory J Hannon, Orly Elpeleg

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

99 citing papers in PubMed, 1 synthesis or guideline pooled it, 196 citations in OpenAlex.

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39 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Yaniv ErlichWhitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142, USA. yaniv@wi.mit.edu
Simon Edvardson
Emily Hodges
Shamir Zenvirt
Pramod Thekkat
Avraham Shaag
Talya Dor
Gregory J Hannon
Orly Elpeleg
Hebrew University of Jerusalem · ILHoward Hughes Medical Institute · USWhitehead Institute for Biomedical Research · US

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Whole exome sequencing has become a pivotal methodology for rapid and cost-effective detection of pathogenic variations in Mendelian disorders. A major challenge of this approach is determining the causative mutation from a substantial number of bystander variations that do not play any role in the disease etiology. Current strategies to analyze variations have mainly relied on genetic and functional arguments such as mode of inheritance, conservation, and loss of function prediction. Here, we demonstrate that disease-network analysis provides an additional layer of information to stratify variations even in the presence of incomplete sequencing coverage, a known limitation of exome sequencing. We studied a case of Hereditary Spastic Paraparesis (HSP) in a single inbred Palestinian family. HSP is a group of neuropathological disorders that are characterized by abnormal gait and spasticity of the lower limbs. Forty-five loci have been associated with HSP and lesions in 20 genes have been documented to induce the disorder. We used whole exome sequencing and homozygosity mapping to create a list of possible candidates. After exhausting the genetic and functional arguments, we stratified the remaining candidates according to their similarity to the previously known disease genes. Our analysis implicated the causative mutation in the motor domain of KIF1A, a gene that has not yet associated with HSP, which functions in anterograde axonal transportation. Our strategy can be useful for a large class of disorders that are characterized by locus heterogeneity, particularly when studying disorders in single families.

Indexed as

AdolescentAdultAmino Acid SequenceDatabases, GeneticExonsGenotypeHomozygoteHumansKinesinsMaleModels, MolecularMutationPedigreePhenotypePolymorphism, Single NucleotideSequence Analysis, DNAKIF1A protein, humanKinesins

Identifiers

PMID21487076
PMCPMC3083082
OpenAlexW2143546222

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.