Evidence map›Paper›PMID 20846941›Full record

ReviewHuman molecular genetics2010

Massively parallel sequencing and rare disease.

Sarah B Ng, Deborah A Nickerson, Michael J Bamshad, Jay Shendure

Abstract readReview
In one paragraph

Review in Human molecular genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 2 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

93 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Predicting disease-causing variant combinations.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  11. Data Science for Child Health.The Journal of pediatrics · 2019
    Review
  12. Article
  13. Article
  14. Whole Genome Sequencing of Greater Amberjack (International journal of genomics · 2018
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Genomics of Immune Diseases and New Therapies.Annual review of immunology · 2016
    Review

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

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

4 authors.

Sarah B NgDepartment of Genome Sciences, University of Washington School of Medicine, Seattle WA 98195, USA. sarahng@uw.edu
Deborah A Nickerson
Michael J Bamshad
Jay Shendure

Funding

Genetic and Molecular Basis of Congenital ContracturesR01HD048895 · NICHD · UNIVERSITY OF WASHINGTON · PI BAMSHAD, MICHAEL JOSEPH · 2005 to 2016
$4.3M
SeattleSeqR01HL094976 · NHLBI · UNIVERSITY OF WASHINGTON · PI EICHLER, EVAN, GREEN, PHILIP P · 2008 to 2009
$4.0M
Next Generation Mendelian GeneticsRC2HG005608 · NHGRI · UNIVERSITY OF WASHINGTON · PI BAMSHAD, MICHAEL JOSEPH, NICKERSON, DEBORAH A · 2009 to 2010
$3.9M
Molecular Tools for Genome PartitioningR21HG004749 · NHGRI · UNIVERSITY OF WASHINGTON · PI SHENDURE, JAY ASHOK · 2008 to 2009
$405k
NHGRI NIH HHS 1RC2HG005608NHGRI NIH HHS 5R21HG004749NHLBI NIH HHS 5R01HL094976NICHD NIH HHS 1R01HD048895
6 · The paper itself

Abstract

Massively parallel sequencing has enabled the rapid, systematic identification of variants on a large scale. This has, in turn, accelerated the pace of gene discovery and disease diagnosis on a molecular level and has the potential to revolutionize methods particularly for the analysis of Mendelian disease. Using massively parallel sequencing has enabled investigators to interrogate variants both in the context of linkage intervals and also on a genome-wide scale, in the absence of linkage information entirely. The primary challenge now is to distinguish between background polymorphisms and pathogenic mutations. Recently developed strategies for rare monogenic disorders have met with some early success. These strategies include filtering for potential causal variants based on frequency and function, and also ranking variants based on conservation scores and predicted deleteriousness to protein structure. Here, we review the recent literature in the use of high-throughput sequence data and its analysis in the discovery of causal mutations for rare disorders.

Indexed as

High-Throughput Nucleotide SequencingGenome, HumanHumansRare Diseases

Identifiers

PMID20846941
PMCPMC2953741

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.