Evidence map›Paper›PMID 39907318›Full record

SynthesisBriefings in bioinformatics2025

Assessment of the functionality and usability of open-source rare variant analysis pipelines.

Cristian Riccio, Max L Jansen, Felix Thalén, Georgios Koliopanos, Vivian Link, Andreas Ziegler

Abstract readSystematic Review
In one paragraph

Synthesis in Briefings in bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Cristian RiccioCardio-CARE, Medizincampus Davos, Herman-Burchard-Str. 12, 7265 Davos Wolfgang, Switzerland.ORCID 0000-0001-9561-060X
Max L JansenCardio-CARE, Medizincampus Davos, Herman-Burchard-Str. 12, 7265 Davos Wolfgang, Switzerland.ORCID 0000-0003-4373-5579
Felix ThalénCardio-CARE, Medizincampus Davos, Herman-Burchard-Str. 12, 7265 Davos Wolfgang, Switzerland.ORCID 0000-0002-3535-5122
Georgios KoliopanosCardio-CARE, Medizincampus Davos, Herman-Burchard-Str. 12, 7265 Davos Wolfgang, Switzerland.ORCID 0000-0003-0667-6178
Vivian LinkCardio-CARE, Medizincampus Davos, Herman-Burchard-Str. 12, 7265 Davos Wolfgang, Switzerland.ORCID 0000-0003-2677-1180
Andreas ZieglerCardio-CARE, Medizincampus Davos, Herman-Burchard-Str. 12, 7265 Davos Wolfgang, Switzerland.ORCID 0000-0002-8386-5397

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sequencing of increasingly larger cohorts has revealed many rare variants, presenting an opportunity to further unravel the genetic basis of complex traits. Compared with common variants, rare variants are more complex to analyze. Specialized computational tools for these analyses should be both flexible and user-friendly. However, an overview of the available rare variant analysis pipelines and their functionalities is currently lacking. Here, we provide a systematic review of the currently available rare variant analysis pipelines. We searched MEDLINE and Google Scholar until 27 November 2023, and included open-source rare variant pipelines that accepted genotype data from cohort and case-control studies and group variants into testing units. Eligible pipelines were assessed based on functionality and usability criteria. We identified 17 rare variant pipelines that collectively support various trait types, association tests, testing units, and variant weighting schemes. Currently, no single pipeline can handle all data types in a scalable and flexible manner. We recommend different tools to meet diverse analysis needs. STAARpipeline is suitable for newcomers and common applications owing to its built-in definitions for the testing units. REGENIE is highly scalable, actively maintained, regularly updated, and well documented. Ravages is suitable for analyzing multinomial variables, and OrdinalGWAS is tailored for analyzing ordinal variables. Opportunities remain for developing a user-friendly pipeline that provides high degrees of flexibility and scalability. Such a pipeline would enable researchers to exploit the potential of rare variant analyses to uncover the genetic basis of complex traits.

Indexed as

Computational BiologyGenetic VariationSoftwareHumansgenome-wide association studypipelinerare variant association studysoftwaresystematic reviewwhole-genome sequencing

Identifiers

PMID39907318
PMCPMC11795309

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.