Evidence map›Paper›PMID 40585113›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Extending Genome-Wide Association Studies to admixed cohorts with high degrees of relatedness.

Taotao Tan, Alejandra Vergara-Lope, José Jaime Martínez-Magaña, Nirav N Shah, Kai Yuan, Jaime Berumen, Jesus Alegre-Díaz, Pablo Kuri-Morales, Roberto Tapia-Conyer, Joel Gelenter and 4 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

14 authors.

Taotao TanDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0003-4904-8059
Alejandra Vergara-LopeClinical Trial Service Unit and Epidemiological Studies Unit, Oxford Population Health, Big Data Institute, University of Oxford, UK.
José Jaime Martínez-MagañaDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Nirav N ShahDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Kai YuanAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
Jaime BerumenExperimental Research Unit from the Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico.
Jesus Alegre-DíazExperimental Research Unit from the Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico.
Pablo Kuri-MoralesFaculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico.
Roberto Tapia-ConyerFaculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico.
Joel GelenterDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Janitza L Montalvo-OrtizDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Wei ZhouStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Jason M TorresClinical Trial Service Unit and Epidemiological Studies Unit, Oxford Population Health, Big Data Institute, University of Oxford, UK.
Elizabeth G AtkinsonDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0002-6308-776X

Funding

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
An integrative approach to disease gene discovery combining genetic variation, gene expression, and epigenetics.R00HG012222 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI Wei Zhou · 2024 to 2026
$747k
A framework enabling the genomic analysis of psychiatric traits across admixed populations.K01MH121659 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI ATKINSON, ELIZABETH GRACE · 2019 to 2022
$719k
NHGRI NIH HHS R00 HG012222NHGRI NIH HHS R01 HG012869NIMH NIH HHS K01 MH121659Wellcome Trust
6 · The paper itself

Abstract

Recently admixed populations comprise a large portion of the human population worldwide, but are often excluded from Genome-Wide Association Studies (GWAS) due to analytic challenges. Our group has previously developed a local ancestry informed generalized linear model based method,

Identifiers

PMID40585113
PMCPMC12204420

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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.