Evidence map›Paper›PMID 21917141›Full record

ArticleGenome biology2011

Reducing the exome search space for mendelian diseases using genetic linkage analysis of exome genotypes.

Katherine R Smith, Catherine J Bromhead, Michael S Hildebrand, A Eliot Shearer, Paul J Lockhart, Hossein Najmabadi, Richard J Leventer, George McGillivray, David J Amor, Richard J Smith and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in Genome biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02146872 (Premature Coronary Artery Disease - Clinical and Molecular Genetic Aspects), which is not on this map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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.

NCT02146872 unknown statusnot on this mapstarted 2014, after this paper: background citation

Premature Coronary Artery Disease - Clinical and Molecular Genetic Aspects

TypeobservationalSponsorAarhus University Hospital SkejbyRan2014 to 2016Enrolled400ConditionsCoronary Artery Disease, Myocardial Infarction, Atherosclerosis
3 · Its place in the literature

Who cites it

49 citing papers in PubMed.

  1. Whole-exome sequencing to analyze population structure, parental inbreeding, and familial linkage.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Trial
  2. A novel deletion upstream ofFrontiers in genetics · 2025
    Article
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  4. Review
  5. Review
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  7. Article
  8. Novel Loss-of-Function Mutations inFrontiers in endocrinology · 2021
    Article
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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

11 authors.

Katherine R SmithBioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, Victoria 3052, Australia. katsmith@wehi.edu.au
Catherine J Bromhead
Michael S Hildebrand
A Eliot Shearer
Paul J Lockhart
Hossein Najmabadi
Richard J Leventer
George McGillivray
David J Amor
Richard J Smith
Melanie Bahlo

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007337 · NIGMS · UNIVERSITY OF IOWA · PI GEYER, PAMELA K., LENTZ, STEVEN R · 1985 to 2020
$15.9M
NIGMS NIH HHS T32 GM007337
6 · The paper itself

Abstract

Many exome sequencing studies of Mendelian disorders fail to optimally exploit family information. Classical genetic linkage analysis is an effective method for eliminating a large fraction of the candidate causal variants discovered, even in small families that lack a unique linkage peak. We demonstrate that accurate genetic linkage mapping can be performed using SNP genotypes extracted from exome data, removing the need for separate array-based genotyping. We provide software to facilitate such analyses.

Indexed as

ExomeGenetic LinkageGenotypeSoftwareBase SequenceChromosomes, HumanGene FrequencyGenetic Diseases, InbornGenome, HumanGenotyping TechniquesHapMap ProjectHumansPedigreePolymorphism, Single NucleotideSequence AlignmentSequence Analysis, DNA

Identifiers

PMID21917141
PMCPMC3308048

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.