Evidence map›Paper›PMID 35266241›Full record

ArticleHuman mutation2022

seqr: A web-based analysis and collaboration tool for rare disease genomics.

Lynn S Pais, Hana Snow, Ben Weisburd, Shifa Zhang, Samantha M Baxter, Stephanie DiTroia, Emily O'Heir, Eleina England, Katherine R Chao, Gabrielle Lemire and 15 more

Abstract read
In one paragraph

Article in Human mutation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing 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

94 citing papers in PubMed.

  1. Article
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  11. A novel brachydactyly type E syndrome caused by variants in helix 8 of the PTH1R.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    Article
  12. Article
  13. Article
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  19. Benchmarking RNA-seq Tools for Real-World Diagnostic Applications.medRxiv : the preprint server for health sciences · 2026
    Article
  20. Article

34 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

25 authors.

Lynn S PaisProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.ORCID 0000-0001-9673-4305
Hana SnowProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Ben WeisburdProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Shifa ZhangProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Samantha M BaxterProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Stephanie DiTroiaProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Emily O'HeirProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Eleina EnglandProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Katherine R ChaoProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Gabrielle LemireProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Ikeoluwa Osei-OwusuProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Grace E VanNoyProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Michael WilsonProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Kevin NguyenProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Harindra ArachchiProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
William PhuProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Matthew SolomonsonProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Stacy ManoProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Melanie O'LearyProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Alysia LovgrenProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Lawrence BabbProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Christina A Austin-TseProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Heidi L RehmProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.ORCID 0000-0002-6025-0015
Daniel G MacArthurProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.ORCID 0000-0002-5771-2290
Anne O'Donnell-LuriaProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.ORCID 0000-0001-6418-9592

Funding

The AnVIL Data Ecosystem DACReS SupplementU24HG010262 · NHGRI · BROAD INSTITUTE, INC. · PI Robert J Carroll, Jonathan Lawson · 2018 to 2026
$40.5M
Joint Center for Mendelian GenomicsUM1HG008900 · NHGRI · BROAD INSTITUTE, INC. · PI O'DONNELL-LURIA, ANNE, REHM, HEIDI L · 2016 to 2020
$16.5M
Broad Institute Mendelian Genomic Research CenterU01HG011755 · NHGRI · BROAD INSTITUTE, INC. · PI Anne O'Donnell-Luria, MICHAEL E TALKOWSKI · 2021 to 2026
$14.6M
A powerful web-based discovery platform for rare disease geneticsR01HG009141 · NHGRI · BROAD INSTITUTE, INC. · PI QUINLAN, AARON R, REHM, HEIDI L · 2017 to 2020
$2.9M
NHGRI NIH HHS R01 HG009141NHGRI NIH HHS U01 HG011755NHGRI NIH HHS U24 HG010262NHGRI NIH HHS UM1 HG008900NIH HHS R01HG009141NIH HHS U01HG011755NIH HHS U24HG010262NIH HHS UM1HG008900
6 · The paper itself

Abstract

Exome and genome sequencing have become the tools of choice for rare disease diagnosis, leading to large amounts of data available for analyses. To identify causal variants in these datasets, powerful filtering and decision support tools that can be efficiently used by clinicians and researchers are required. To address this need, we developed seqr - an open-source, web-based tool for family-based monogenic disease analysis that allows researchers to work collaboratively to search and annotate genomic callsets. To date, seqr is being used in several research pipelines and one clinical diagnostic lab. In our own experience through the Broad Institute Center for Mendelian Genomics, seqr has enabled analyses of over 10,000 families, supporting the diagnosis of more than 3,800 individuals with rare disease and discovery of over 300 novel disease genes. Here, we describe a framework for genomic analysis in rare disease that leverages seqr's capabilities for variant filtration, annotation, and causal variant identification, as well as support for research collaboration and data sharing. The seqr platform is available as open source software, allowing low-cost participation in rare disease research, and a community effort to support diagnosis and gene discovery in rare disease.

Indexed as

GenomicsRare DiseasesExomeHumansInternetSoftwaredata sharinggenomic analysisnovel gene discoveryrare disease diagnosisresearch collaborationvariant filtration

Identifiers

PMID35266241
PMCPMC9903206

What OpenQuestion holds

Textmetadata
LicenceTDM
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.