Evidence map›Paper›PMID 25129038›Full record

ReviewHuman genetics2014

Using familial information for variant filtering in high-throughput sequencing studies.

Melanie Bahlo, Rick Tankard, Vesna Lukic, Karen L Oliver, Katherine R Smith

Erratum issuedAbstract readReview
In one paragraph

Review in Human genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Identification of Rare Variants Predisposing to Thyroid Cancer.Thyroid : official journal of the American Thyroid Association · 2019
    Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Melanie BahloThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia, bahlo@wehi.edu.au.
Rick Tankard
Vesna Lukic
Karen L Oliver
Katherine R Smith

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput sequencing studies (HTS) have been highly successful in identifying the genetic causes of human disease, particularly those following Mendelian inheritance. Many HTS studies to date have been performed without utilizing available family relationships between samples. Here, we discuss the many merits and occasional pitfalls of using identity by descent information in conjunction with HTS studies. These methods are not only applicable to family studies but are also useful in cohorts of apparently unrelated, 'sporadic' cases and small families underpowered for linkage and allow inference of relationships between individuals. Incorporating familial/pedigree information not only provides powerful filtering options for the extensive variant lists that are usually produced by HTS but also allows valuable quality control checks, insights into the genetic model and the genotypic status of individuals of interest. In particular, these methods are valuable for challenging discovery scenarios in HTS analysis, such as in the study of populations poorly represented in variant databases typically used for filtering, and in the case of poor-quality HTS data.

Indexed as

PedigreeFamilyGenetic LinkageGenetic VariationGenotypeHapMap ProjectHigh-Throughput Nucleotide SequencingHumansModels, GeneticPolymorphism, Single NucleotideSequence Analysis, DNASoftware

Identifiers

PMID25129038
PMCPMC4185103

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.