Evidence map›Paper›PMID 40738106›Full record

ArticleAmerican journal of human genetics2025

Rare-variant association studies: When are aggregation tests more powerful than single-variant tests?

Debraj Bose, Christian Fuchsberger, Michael Boehnke

Abstract read
In one paragraph

Article in American journal of human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Rare protein-disrupting variants inmedRxiv : the preprint server for health sciences · 2026
    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

3 authors.

Debraj BoseDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA.
Christian FuchsbergerDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA; Institute for Biomedicine, Eurac Research, Bolzano, Italy; Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria. Electronic address: cfuchsberger@eurac.edu.
Michael BoehnkeDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA.

Funding

Design and Analysis of Human Gene Mapping StudiesR01HG009976 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L · 2018 to 2022
$2.5M
NHGRI NIH HHS R01 HG009976
6 · The paper itself

Abstract

Because single-variant tests are not as powerful for identifying associations with rare variants as for common variants, aggregation tests pooling information from multiple rare variants within genes or other genomic regions were developed. While single-variant tests generally have yielded more associations, recent large-scale biobank studies have uncovered numerous significant findings through aggregation tests. We investigate the range of genetic models for which aggregation tests are expected to be more powerful than single-variant tests for rare-variant association studies. We consider a normally distributed trait following an additive genetic model with c causal out of v total rare variants in an autosomal gene/region with region heritability h

Indexed as

Genetic Association StudiesGenetic VariationGenome-Wide Association StudyModels, GeneticBiological Specimen BanksComputer SimulationGenetic Predisposition to DiseaseHumansPolymorphism, Single Nucleotideaggregation testsGWASrare variants

Identifiers

PMID40738106
PMCPMC12414686

What Socratic holds

Textmetadata
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 Socratic graph.