Evidence map›Paper›PMID 23752795›Full record

ReviewNature reviews. Genetics2013

Sequencing studies in human genetics: design and interpretation.

David B Goldstein, Andrew Allen, Jonathan Keebler, Elliott H Margulies, Steven Petrou, Slavé Petrovski, Shamil Sunyaev

Abstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers.

0numbers the graph read from it
0cells of the map it votes in
132citing 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

132 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Clinical Implementation of Rare and NovelInternational journal of biological sciences · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Rare genetic variant burden in DPYD predicts severe fluoropyrimidine-related toxicity risk.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2022
    Article
  18. The Clinical Variant Analysis Tool: Analyzing the evidence supporting reported genomic variation in clinical practice.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
    Article
  19. Article
  20. High-impactScience advances · 2021
    Article

72 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

7 authors.

David B GoldsteinCenter for Human Genome Variation, Duke University School of Medicine, 308 Research Drive, Box 91009, LSRC B Wing, Room 330, Durham, North Carolina 27708, USA. d.goldstein@duke.edu
Andrew Allen
Jonathan Keebler
Elliott H Margulies
Steven Petrou
Slavé Petrovski
Shamil Sunyaev

Funding

Statistical methods for studies of rare variantsR01MH101244 · NIMH · HARVARD MEDICAL SCHOOL · PI Benjamin Michael Neale, ALKES L PRICE · 2013 to 2026
$9.4M
New Methods and Enhanced Software for Predicting Functional SNPsR01GM078598 · NIGMS · BRIGHAM AND WOMEN'S HOSPITAL · PI SUNYAEV, SHAMIL · 2007 to 2017
$3.5M
NIGMS NIH HHS R01 GM078598NIMH NIH HHS R01 MH101244
6 · The paper itself

Abstract

Next-generation sequencing is becoming the primary discovery tool in human genetics. There have been many clear successes in identifying genes that are responsible for Mendelian diseases, and sequencing approaches are now poised to identify the mutations that cause undiagnosed childhood genetic diseases and those that predispose individuals to more common complex diseases. There are, however, growing concerns that the complexity and magnitude of complete sequence data could lead to an explosion of weakly justified claims of association between genetic variants and disease. Here, we provide an overview of the basic workflow in next-generation sequencing studies and emphasize, where possible, measures and considerations that facilitate accurate inferences from human sequencing studies.

Indexed as

AnimalsComputer SimulationGenes, DominantGenetic Diseases, InbornGenetic LinkageGenetic Predisposition to DiseaseGenetics, PopulationGenetic VariationGenomeGenotypeHumansModels, GeneticMutationRisk FactorsSequence Analysis, DNA

Identifiers

PMID23752795
PMCPMC4117319

What OpenQuestion holds

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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.