Evidence map›Paper›PMID 40950129›Full record

ArticlebioRxiv : the preprint server for biology2025

Tractor Workflow Pipeline: A Scalable Nextflow Framework for Local Ancestry-Aware Genome-Wide Association Studies.

Nirav N Shah, Taotao Tan, Jessica Honorato-Mauer, Yi-Sian Lin, Adam X Maihofer, Clement C Zai, PGC-PTSD ancestry working group, Marcos Santoro, Caroline M Nievergelt, Elizabeth G Atkinson

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

5 · Who and what money

Authors and funding

10 authors.

Nirav N ShahDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Taotao TanDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Jessica Honorato-MauerDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Yi-Sian LinDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Adam X MaihoferDepartment of Psychiatry, School of Medicine, University of California San Diego, La Jolla, CA, USA.
Clement C ZaiDepartment of Psychiatry, Institute of Medical Science, Laboratory Medicine and Pathobiology, Dalla Lana School of Public Health, University of Toronto.
PGC-PTSD ancestry working group
Marcos SantoroDisciplina de Biologia Molecular, Departamento de Bioquímica, Universidade Federal de São Paulo, São Paulo, 04023-062, Brazil.
Caroline M NievergeltDepartment of Psychiatry, School of Medicine, University of California San Diego, La Jolla, CA, USA.
Elizabeth G AtkinsonDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.

Funding

Psychiatric Genomics Consortium for PTSDR01MH106595 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KARESTAN C KOENEN, Caroline M Nievergelt · 2016 to 2026
$8.4M
Genetics of PTSD in African Ancestry Populations: Enhancing discovery by addressing inequalityR01MH134468 · NIMH · BROAD INSTITUTE, INC. · PI KARESTAN C KOENEN, Caroline M Nievergelt · 2023 to 2026
$7.2M
Empowering gene discovery and accelerating clinical translation for diverse admixed populationsR01HG012869 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI Elizabeth Grace Atkinson · 2023 to 2026
$3.1M
NHGRI NIH HHS R01 HG012869NIMH NIH HHS R01 MH106595NIMH NIH HHS R01 MH134468
6 · The paper itself

Abstract

The routine exclusion of admixed individuals from traditional Genome-Wide Association Studies (GWAS) due to concerns about spurious associations has hindered genetic analyses involving multiple ancestries.

Identifiers

PMID40950129
PMCPMC12424779

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.