Evidence map›Paper›PMID 40779109›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Inference of Genetic Ancestry from Cancer-Derived Molecular Data with RAIDS.

Pascal Belleau, Astrid Deschênes, David A Tuveson, Alexander Krasnitz

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Pascal BelleauSimons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring, NY, USA.
Astrid DeschênesCancer Center, Cold Spring Harbor Laboratory, Cold Spring, NY, USA.
David A TuvesonCancer Center, Cold Spring Harbor Laboratory, Cold Spring, NY, USA.
Alexander KrasnitzSimons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring, NY, USA. krasnitz@cshl.edu.

Funding

Computational tools for accurate inference of genetic ancestry from cancer-derived molecular dataU01CA289357 · NCI · COLD SPRING HARBOR LABORATORY · PI ALEXANDER KRASNITZ · 2024 to 2026
$1.5M
NCI NIH HHS U01 CA289357
6 · The paper itself

Abstract

There has recently been increasing appreciation of ancestral effects on cancer genotypes and phenotypes. Consequently, the need has grown for ancestry annotation of cancer-derived molecular data. In response, we created a computational tool termed RAIDS (Robust Ancestry Inference using Data Synthesis). RAIDS is designed to infer genetic ancestry using as input sequence data from a variety of molecular protocols, even in the absence of matching cancer-free genotypes of the patient. Implemented as an R language package, RAIDS is available from the Bioconductor repository. Here we describe functionalities of RAIDS, provide instructions for its installation, give examples of its usage, and explain the interpretation of its output. While RAIDS is being actively developed, the guidance provided here is expected to apply to future refined and expanded versions of this software tool.

Indexed as

Computational BiologyNeoplasmsSoftwareGenotypeHumansContinental populationsGenetic ancestryGenotypingPrincipal-component analysisSynthetic data

Identifiers

PMID40779109

What OpenQuestion holds

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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.