Evidence map›Paper›PMID 41036086›Full record

ArticleThe annals of applied statistics2025

SURROGATE SELECTION OVERSAMPLES EXPANDED T CELL CLONOTYPES.

Peng Yu, Yumin Lian, Elliot Xie, Cindy L Zuleger, Richard J Albertini, Mark R Albertini, Michael A Newton

Abstract read
In one paragraph

Article in The annals of applied statistics, 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. SURROGATE SELECTION OVERSAMPLES EXPANDED T CELL CLONOTYPES.The annals of applied statistics · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Peng YuDepartment of Statistics, University of Wisconsin, Madison.
Yumin LianDepartment of Chemistry, Laboratory of Genetics, University of Wisconsin, Madison.
Elliot XieDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison.
Cindy L ZulegerDepartment of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison.
Richard J AlbertiniUniversity of Vermont, Burlington, VT, USA.
Mark R AlbertiniDepartment of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison.
Michael A NewtonDepartment of Statistics, University of Wisconsin, Madison.

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
Visualizing EBV and HCMV DNA Dynamics During InfectionP01CA022443 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Paul F. Lambert · 1985 to 2026
$53.1M
Project 3: Modulation of the head and neck tumor immune microenvironment by targeting the TAM family of receptorsP50CA278595 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI David J Beebe · 2022 to 2026
$12.5M
Radionuclide Production and Radiochemistry Core Description CoreP01CA250972 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI KIM, KYUNGMANN · 2020 to 2024
$12.5M
University of Wisconsin Prostate SPOREP50CA269011 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI DAVID F. JARRARD, DOUGLAS G. MCNEEL · 2023 to 2026
$10.6M
Statistical methods for spatial RNA sequencing experimentsR01GM102756 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI KENDZIORSKI, CHRISTINA · 2012 to 2024
$3.8M
Statistical methods for TCR-sequencing experimentsR21AI190872 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI Christina Kendziorski · 2025 to 2026
$404k
NCATS NIH HHS UL1 TR002373NCI NIH HHS P01 CA022443NCI NIH HHS P01 CA250972NCI NIH HHS P30 CA014520NCI NIH HHS P50 CA269011NCI NIH HHS P50 CA278595NIAID NIH HHS R21 AI190872NIGMS NIH HHS R01 GM102756
6 · The paper itself

Abstract

Surrogate selection is an experimental design that without sequencing any DNA can restrict a sample of cells to those carrying certain genomic mutations. In immunological disease studies, this design may provide a relatively easy approach to enrich a lymphocyte sample with cells relevant to the disease response because the emergence of neutral mutations associates with the proliferation history of clonal subpopulations. A statistical analysis of clonotype sizes provides a structured, quantitative perspective on this useful property of surrogate selection. Our model specification couples within-clonotype birth-death processes with an exchangeable model across clonotypes. Beyond enrichment questions about the surrogate selection design, our framework enables a study of sampling properties of elementary sample diversity statistics; it also points to new statistics that may usefully measure the burden of somatic genomic alterations associated with clonal expansion. We examine statistical properties of immunological samples governed by the coupled model specification, and we illustrate calculations in surrogate selection studies of melanoma and in single-cell genomic studies of T cell repertoires.

Indexed as

Bayes’s ruleclonal expansiondiversity statisticenrichmentexchangeable birth-death processesexperimental designsingle cell sequencingsize biassomatic mutation

Identifiers

PMID41036086
PMCPMC12481847

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.