Evidence map›Paper›PMID 25371537›Full record

ReviewJournal of medical genetics2015

Case-only exome sequencing and complex disease susceptibility gene discovery: study design considerations.

Lang Wu, Daniel J Schaid, Hugues Sicotte, Eric D Wieben, Hu Li, Gloria M Petersen

Abstract readReview
In one paragraph

Review in Journal of medical genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Genetic Epidemiology of Complex Phenotypes.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Zinc transporter genes and urological cancers: integrated analysis suggests a role for ZIP11 in bladder cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
  19. Article
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

6 authors.

Lang WuDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA Center for Clinical and Translational Science, Mayo Clinic, Rochester, Minnesota, USA.
Daniel J SchaidDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
Hugues SicotteDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
Eric D WiebenDepartment of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, Minnesota, USA.
Hu LiDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA.
Gloria M PetersenDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
Tissue CoreP50CA102701 · NCI · MAYO CLINIC ROCHESTER · PI MUKHOPADHYAY, DEBABRATA · 2004 to 2018
$32.7M
Pancreatic Cancer Genetic Epidemiology Consortium (PACGENE)R01CA097075 · NCI · MAYO CLINIC ROCHESTER · PI PETERSEN, GLORIA M. · 2002 to 2012
$15.8M
Quantitative Methods for Genetic EpidemiologyR01GM065450 · NIGMS · MAYO CLINIC ROCHESTER · PI SCHAID, DANIEL J. · 2002 to 2020
$5.6M
NCATS NIH HHS UL1 TR000135NCI NIH HHS P50 CA102701NCI NIH HHS R01 CA097075NIGMS NIH HHS R01 GM065450
6 · The paper itself

Abstract

Whole exome sequencing (WES) provides an unprecedented opportunity to identify the potential aetiological role of rare functional variants in human complex diseases. Large-scale collaborations have generated germline WES data on patients with a number of diseases, especially cancer, but less often on healthy controls under the same sequencing procedures. These data can be a valuable resource for identifying new disease susceptibility loci if study designs are appropriately applied. This review describes suggested strategies and technical considerations when focusing on case-only study designs that use WES data in complex disease scenarios. These include variant filtering based on frequency and functionality, gene prioritisation, interrogation of different data types and targeted sequencing validation. We propose that if case-only WES designs were applied in an appropriate manner, new susceptibility genes containing rare variants for human complex diseases can be detected.

Indexed as

PhenotypeResearch DesignExomeGenetic Association StudiesGenetic Predisposition to DiseaseHumansSequence Analysis, DNAComplex traitsGenetic epidemiologyGeneticsMolecular genetics

Identifiers

PMID25371537
PMCPMC4503357

What OpenQuestion holds

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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.