Evidence map›Paper›PMID 26378430›Full record

ArticleHuman mutation2015

Mitigating false-positive associations in rare disease gene discovery.

Sebastian Akle, Sung Chun, Daniel M Jordan, Christopher A Cassa

Open access · bronzeAbstract read
In one paragraph

Article in Human mutation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
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

14 citing papers in PubMed, 23 citations in OpenAlex.

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  12. When "Cold Spring Harbor molecular case studies · 2017
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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 at 2 institutions in 1 country.

Sebastian AkleDepartment of Organismic and Evolutionary Biology, Harvard University, Boston, MA.
Sung ChunDivision of Genetics, Brigham and Women's Hospital, Boston, MA.
Daniel M JordanDivision of Genetics, Brigham and Women's Hospital, Boston, MA.
Christopher A CassaDivision of Genetics, Brigham and Women's Hospital, Boston, MA.
Brigham and Women's Hospital · USHarvard University · US

Funding

Clinical prioritization of reported disease variants in asymptomatic individualsR00HG007229 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI CASSA, CHRISTOPHER · 2015 to 2017
$747k
Clinical prioritization of reported disease variants in asymptomatic individualsK99HG007229 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI CASSA, CHRISTOPHER · 2013 to 2014
$218k
NHGRI NIH HHS K99 HG007229NHGRI NIH HHS K99-HG007229NHGRI NIH HHS R00 HG007229
6 · The paper itself

Abstract

Clinical sequencing is expanding, but causal variants are still not identified in the majority of cases. These unsolved cases can aid in gene discovery when individuals with similar phenotypes are identified in systems such as the Matchmaker Exchange. We describe risks for gene discovery in this growing set of unsolved cases. In a set of rare disease cases with the same phenotype, it is not difficult to find two individuals with the same phenotype that carry variants in the same gene. We quantify the risk of false-positive association in a cohort of individuals with the same phenotype, using the prior probability of observing a variant in each gene from over 60,000 individuals (Exome Aggregation Consortium). Based on the number of individuals with a genic variant, cohort size, specific gene, and mode of inheritance, we calculate a P value that the match represents a true association. A match in two of 10 patients in MECP2 is statistically significant (P = 0.0014), whereas a match in TTN would not reach significance, as expected (P > 0.999). Finally, we analyze the probability of matching in clinical exome cases to estimate the number of cases needed to identify genes related to different disorders. We offer Rare Disease Match, an online tool to mitigate the uncertainty of false-positive associations.

Indexed as

AlgorithmsComputational BiologyDatabases, GeneticExomeFalse Positive ReactionsGenetic Association StudiesGenetic VariationHumansPhenotypeRare DiseasesWeb Browserfalse-positive associationsincidental findingsincidentalomeMatchmaker Exchangematchmakingrare diseases

Identifiers

PMID26378430
PMCPMC4576452
OpenAlexW2097020761

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.