Evidence map›Paper›PMID 22290882›Full record

ArticleHuman mutation2012

Analysis of DNA sequence variants detected by high-throughput sequencing.

David R Adams, Murat Sincan, Karin Fuentes Fajardo, James C Mullikin, Tyler M Pierson, Camilo Toro, Cornelius F Boerkoel, Cynthia J Tifft, William A Gahl, Tom C Markello

Abstract read
In one paragraph

Article in Human mutation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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.

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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Genetic Epidemiology of Complex Phenotypes.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  4. Article
  5. The undiagnosed diseases program: Approach to diagnosis.Translational science of rare diseases · 2020
    Article
  6. Findings of a 1303 Korean whole-exome sequencing study.Experimental & molecular medicine · 2017
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Clinical Versus Research Sequencing.Cold Spring Harbor perspectives in medicine · 2016
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. FlyVar: a database for genetic variation in Drosophila melanogaster.Database : the journal of biological databases and curation · 2015
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

David R AdamsNIH Undiagnosed Diseases Program, NIH, Bethesda, Maryland, USA. david.adams@nih.gov
Murat Sincan
Karin Fuentes Fajardo
James C Mullikin
Tyler M Pierson
Camilo Toro
Cornelius F Boerkoel
Cynthia J Tifft
William A Gahl
Tom C Markello

Funding

NHGRI/DIR Clinical Support ServicesZIDHG200352 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI SOLOMON, BENJAMIN · 2009 to 2025
$182.8M
Inter- and Intra-Species Comparative SequencingZIBHG000196 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI THOMAS, JAMES · 2009 to 2025
$177.6M
Human Biochemical GeneticsZIAHG000215 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI GAHL, WILLIAM · 2009 to 2025
$72.6M
Comparative Genomics Unit ResearchZIAHG200330 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI MULLIKIN, JAMES C · 2009 to 2022
$17.9M
Intramural NIH HHS ZIA HG000215Intramural NIH HHS ZID HG200352
6 · The paper itself

Abstract

The Undiagnosed Diseases Program at the National Institutes of Health uses high-throughput sequencing (HTS) to diagnose rare and novel diseases. HTS techniques generate large numbers of DNA sequence variants, which must be analyzed and filtered to find candidates for disease causation. Despite the publication of an increasing number of successful exome-based projects, there has been little formal discussion of the analytic steps applied to HTS variant lists. We present the results of our experience with over 30 families for whom HTS sequencing was used in an attempt to find clinical diagnoses. For each family, exome sequence was augmented with high-density SNP-array data. We present a discussion of the theory and practical application of each analytic step and provide example data to illustrate our approach. The article is designed to provide an analytic roadmap for variant analysis, thereby enabling a wide range of researchers and clinical genetics practitioners to perform direct analysis of HTS data for their patients and projects.

Indexed as

SoftwareExomeFamilyGenetic Diseases, InbornGenetic VariationHigh-Throughput Nucleotide SequencingHumans

Identifiers

PMID22290882
PMCPMC3959770

What OpenQuestion holds

Textmetadata
LicenceTDM
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.