Evidence map›Paper›PMID 40514537›Full record

ArticleNature structural & molecular biology2025

Multiplex and multimodal mapping of variant effects in secreted proteins via MultiSTEP.

Nicholas A Popp, Rachel L Powell, Melinda K Wheelock, Kristen J Holmes, Brendan D Zapp, Kathryn M Sheldon, Shelley N Fletcher, Xiaoping Wu, Shawn Fayer, Alan F Rubin and 5 more

Abstract read
In one paragraph

Article in Nature structural & molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. BCAR: a fast and indel-tolerant barcode-sequence mapper.Bioinformatics (Oxford, England) · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. A scalable approach to resolving variants of uncertain significance.bioRxiv : the preprint server for biology · 2026
    Article
  12. Article
  13. Review
  14. MaveMD: A functional data resource for genomic medicine.medRxiv : the preprint server for health sciences · 2025
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Nicholas A PoppDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-9374-3070
Rachel L PowellDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-4791-6692
Melinda K WheelockDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
Kristen J HolmesDivision of Hematology and Oncology, Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA.ORCID http://orcid.org/0009-0001-3217-4545
Brendan D ZappDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
Kathryn M SheldonDivision of Hematology and Oncology, Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA.
Shelley N FletcherBloodworks Northwest, Seattle, WA, USA.
Xiaoping WuBloodworks Northwest, Seattle, WA, USA.
Shawn FayerDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
Alan F RubinBioinformatics Division, WEHI, Parkville, Victoria, Australia.ORCID http://orcid.org/0000-0003-1474-605X
Kerry W LannertDivision of Hematology and Oncology, Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-1387-4319
Alexis T ChangDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
John P SheehanDivision of Hematology, Medical Oncology, and Palliative Care, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.ORCID http://orcid.org/0000-0002-4328-2613
Jill M JohnsenDivision of Hematology and Oncology, Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA. jjohnsen@uw.edu.ORCID http://orcid.org/0000-0002-2279-2550
Douglas M FowlerDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA. dfowler@uw.edu.ORCID http://orcid.org/0000-0001-7614-1713

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Justine Yang Bruce · 1985 to 2026
$142.6M
University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Technology to understand genetic variant effects in contextRM1HG010461 · NHGRI · UNIVERSITY OF WASHINGTON · PI Douglas M Fowler, Bruce Colston Trapnell · 2019 to 2026
$18.9M
The Center for Actionable Variant Analysis; measuring variant function at scaleUM1HG011969 · NHGRI · UNIVERSITY OF WASHINGTON · PI Douglas M Fowler, Lea Starita · 2021 to 2026
$9.9M
Medical Genetics Training GrantT32GM007454 · NIGMS · UNIVERSITY OF WASHINGTON · PI Gail Pairitz Jarvik, Andrew Ben Stergachis · 1985 to 2026
$6.9M
Large-Scale Methods for Assessing the Consequences of Mutations in ProteinsR01GM109110 · NIGMS · UNIVERSITY OF WASHINGTON · PI FOWLER, DOUGLAS M · 2014 to 2021
$2.4M
Comprehensive Characterization of Missense Mutants in Factor IXR01HL152066 · NHLBI · UNIVERSITY OF WASHINGTON · PI FOWLER, DOUGLAS M, JOHNSEN, JILL MARIE · 2020 to 2023
$1.8M
In Vivo Regulation of Factor IXa by Protein S in Hemophilia and Systemic HypercoagulabilityR01HL149855 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI SHEEHAN, JOHN PATRICK · 2020 to 2023
$1.5M
Comprehensive Characterization of Missense Variants in Factor IXF30HL151075 · NHLBI · UNIVERSITY OF WASHINGTON · PI POPP, NICHOLAS ANTHONY · 2020 to 2023
$178k
NCATS NIH HHS UL1 TR002373NCI NIH HHS P30 CA014520NHGRI NIH HHS RM1 HG010461NHGRI NIH HHS UM1 HG011969NHLBI NIH HHS F30 HL151075NHLBI NIH HHS R01 HL149855NHLBI NIH HHS R01 HL152066NIGMS NIH HHS R01 GM109110NIGMS NIH HHS T32 GM007454
6 · The paper itself

Abstract

Despite widespread advances in DNA sequencing, the functional consequences of most genetic variants remain poorly understood. Multiplexed assays of variant effect can measure the function of variants at scale but cannot readily be applied to the ~10% of human genes encoding secreted proteins. Here we develop a flexible, scalable human cell surface display method, multiplexed surface tethering of extracellular proteins (MultiSTEP), to study the consequences of missense variation in coagulation factor IX (FIX), a serine protease in which genetic variation can cause hemophilia B. We combine MultiSTEP with a panel of antibodies to detect FIX secretion and post-translational modification (PTM), measuring 44,816 variant effects for 436 synonymous variants and 8,528 of the 8,759 possible F9 missense variants. Almost half of missense variants impact secretion, PTM or both. We also identify functional constraints on secretion within the signal peptide and for nearly all gain or loss of cysteine variants. Secretion scores correlate strongly with FIX levels in hemophilia B and reveal that loss-of-secretion variants are more often associated with severe disease. Integration of the secretion and PTM scores enables reclassification of 63.1% of F9 variants of uncertain significance in the My Life, Our Future hemophilia genotyping project. Lastly, we show that MultiSTEP can be applied to other secreted proteins, thus demonstrating that MultiSTEP is a multiplexed, multimodal and generalizable method for systematically assessing variant effects in secreted proteins at scale.

Indexed as

Factor IXHemophilia BGenetic VariationHEK293 CellsHumansMutation, MissenseProtein Processing, Post-TranslationalFactor IX

Identifiers

PMID40514537
PMCPMC12373428

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Registered trials

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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.