Evidence map›Paper›PMID 40236441›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Large-scale admixture mapping in the

Ravi Mandla, Zhuozheng Shi, Kangcheng Hou, Ying Wang, Georgia Mies, Alan J Aw, Sinead Cullina, Penn Medicine BioBank, Eimear Kenny, Elizabeth Atkinson and 2 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

12 authors.

Ravi MandlaGraduate Program in Genomics and Computational Biology, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-0782-0138
Zhuozheng ShiGraduate Program in Genomics and Computational Biology, University of Pennsylvania, Philadelphia, PA, USA.
Kangcheng HouDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0001-7110-5596
Ying WangAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
Georgia MiesGraduate Program in Genomics and Computational Biology, University of Pennsylvania, Philadelphia, PA, USA.
Alan J AwDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Sinead CullinaInstitute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Penn Medicine BioBank
Eimear KennyInstitute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Elizabeth AtkinsonDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Alicia R MartinAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0003-0241-3522
Bogdan PasaniucDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
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
NCATS NIH HHS UL1 TR001878NHGRI NIH HHS R01 HG012869
6 · The paper itself

Abstract

Admixed individuals have largely been understudied in medical research due to their complex genetic ancestries. However, the consideration of admixture can help identify ancestry-enriched genetic associations, delineating some of the genetic underpinnings of cross-population phenotypic variation. To this end, we performed local ancestry inference within the

Identifiers

PMID40236441
PMCPMC11998848

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.