Evidence map›Paper›PMID 37268996›Full record

ArticleHuman genomics2023

Modeling the longitudinal changes of ancestry diversity in the Million Veteran Program.

Frank R Wendt, Gita A Pathak, Jacqueline Vahey, Xuejun Qin, Dora Koller, Brenda Cabrera-Mendoza, Angela Haeny, Kelly M Harrington, Nallakkandi Rajeevan, Linh M Duong and 14 more

Abstract read
In one paragraph

Article in Human genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 4 pooled it
–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

16 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

24 authors.

Frank R WendtDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Gita A PathakDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Jacqueline VaheyDurham VA Medical Center, Durham, NC, USA.
Xuejun QinDurham VA Medical Center, Durham, NC, USA.
Dora KollerDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Brenda Cabrera-MendozaDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Angela HaenyDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Kelly M HarringtonMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA.
Nallakkandi RajeevanVA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA CT Healthcare System, VA CT 116A2, 950 Campbell Avenue, West Haven, CT, 06516, USA.
Linh M DuongDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Daniel F LeveyDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Flavio De AngelisDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Antonella De LilloDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Tim B BigdeliSUNY Downstate Health Sciences University, Brooklyn, NY, USA.
Saiju PyarajanMassachusetts Area Veterans Epidemiology, Research, and Information Center (MAVERIC), Jamaica Plain, MA, USA.
VA Million Veteran Program
John Michael GazianoVA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA.
Joel GelernterDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Mihaela AslanVA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA CT Healthcare System, VA CT 116A2, 950 Campbell Avenue, West Haven, CT, 06516, USA.
Dawn ProvenzaleDurham VA Medical Center, Durham, NC, USA.
Drew A HelmerCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA.
Elizabeth R Hauser *Durham VA Medical Center, Durham, NC, USA. elizabeth.hauser@duke.edu.
Renato Polimanti *Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA. renato.polimanti@yale.edu.
Department of Veteran Affairs Cooperative Study Program (#2006)

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Investigating the Systems Genetics of the Patterns of Polysubstance Abuse and AddictionR33DA047527 · NIDA · YALE UNIVERSITY · PI POLIMANTI, RENATO · 2021 to 2023
$2.0M
Genome-wide Investigation of the Interplay Between Age-Related Hearing Loss and Smoking BehaviorsR21DC018098 · NIDCD · YALE UNIVERSITY · PI POLIMANTI, RENATO · 2019 to 2021
$440k
Investigating the Systems Genetics of the Patterns of Polysubstance Abuse and AddictionR21DA047527 · NIDA · YALE UNIVERSITY · PI POLIMANTI, RENATO · 2019 to 2020
$369k
Decoding the Sex-Specific Biological Mechanisms of Psychiatric Disorders Using Genome-Wide AnalysesF32MH122058 · NIMH · YALE UNIVERSITY · PI WENDT, FRANK · 2020 to 2021
$118k
NCATS NIH HHS UL1 TR001863NIDA NIH HHS R21 DA047527NIDA NIH HHS R33 DA047527NIDCD NIH HHS R21 DC018098NIMH NIH HHS F32 MH122058
6 · The paper itself

Abstract

backgroundThe Million Veteran Program (MVP) participants represent 100 years of US history, including significant social and demographic changes over time. Our study assessed two aspects of the MVP: (i) longitudinal changes in population diversity and (ii) how these changes can be accounted for in genome-wide association studies (GWAS). To investigate these aspects, we divided MVP participants into five birth cohorts (N-range = 123,888 [born from 1943 to 1947] to 136,699 [born from 1948 to 1953]).

resultsAncestry groups were defined by (i) HARE (harmonized ancestry and race/ethnicity) and (ii) a random-forest clustering approach using the 1000 Genomes Project and the Human Genome Diversity Project (1kGP + HGDP) reference panels (77 world populations representing six continental groups). In these groups, we performed GWASs of height, a trait potentially affected by population stratification. Birth cohorts demonstrate important trends in ancestry diversity over time. More recent HARE-assigned Europeans, Africans, and Hispanics had lower European ancestry proportions than older birth cohorts (0.010 < Cohen's d < 0.259, p < 7.80 × 10

conclusionsThis study provides a characterization of ancestry diversity of the MVP cohort over time and compares two strategies to infer genetically defined ancestry groups by assessing differences in controlling population stratification in genome-wide association studies.

Indexed as

EthnicityRacial GroupsVeteransGenome-Wide Association StudyHumansPolymorphism, Single NucleotideAncestryEthnicityHeightMillion Veteran ProgramPopulation stratificationRace

Identifiers

PMID37268996
PMCPMC10239111

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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.