Evidence map›Paper›PMID 32142644›Full record

ArticleAmerican journal of human genetics2020

Population Histories of the United States Revealed through Fine-Scale Migration and Haplotype Analysis.

Chengzhen L Dai, Mohammad M Vazifeh, Chen-Hsiang Yeang, Remi Tachet, R Spencer Wells, Miguel G Vilar, Mark J Daly, Carlo Ratti, Alicia R Martin

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
8.8field-weighted citation impact, top 2% of its field
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

35 citing papers in PubMed, 69 citations in OpenAlex.

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  7. Maternal obesity and ancestry distance in influencing birth outcomes.International journal of obesity (2005) · 2025
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  13. FGFR2 genetic variants in women with breast cancer.Molecular medicine reports · 2023
    Article
  14. Decoding Genetics, Ancestry, and Geospatial Context for Precision Health.medRxiv : the preprint server for health sciences · 2023
    Article
  15. Article
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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

9 authors at 4 institutions in 3 countries.

Chengzhen L DaiDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Mohammad M VazifehSenseable City Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Chen-Hsiang YeangInstitute of Statistical Science, Academia Sinica, Nankang, Taipei, Taiwan.
Remi TachetSenseable City Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
R Spencer WellsInsitome, Inc, Austin, TX 78701, USA.
Miguel G VilarGenographic Project, National Geographic Society, Washington, DC 20036, USA.
Mark J DalyInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA.
Carlo RattiSenseable City Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Alicia R MartinAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA. Electronic address: armartin@broadinstitute.org.
Massachusetts Institute of Technology · USBroad Institute · USInstitute of Statistical Science, Academia Sinica · TWNational Geographic Society · US

Funding

Generalizing polygenic risk prediction methods across populations for insights into psychiatric diseaseK99MH117229 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI MARTIN, ALICIA · 2018 to 2019
$262k
NIMH NIH HHS K99 MH117229
6 · The paper itself

Abstract

The population of the United States is shaped by centuries of migration, isolation, growth, and admixture between ancestors of global origins. Here, we assemble a comprehensive view of recent population history by studying the ancestry and population structure of more than 32,000 individuals in the US using genetic, ancestral birth origin, and geographic data from the National Geographic Genographic Project. We identify migration routes and barriers that reflect historical demographic events. We also uncover the spatial patterns of relatedness in subpopulations through the combination of haplotype clustering, ancestral birth origin analysis, and local ancestry inference. Examples of these patterns include substantial substructure and heterogeneity in Hispanics/Latinos, isolation-by-distance in African Americans, elevated levels of relatedness and homozygosity in Asian immigrants, and fine-scale structure in European descents. Taken together, our results provide detailed insights into the genetic structure and demographic history of the diverse US population.

Indexed as

Emigration and ImmigrationGenetics, PopulationHaplotypesCluster AnalysisDemographyHumansUnited Statesbirth recordsdemographyhuman genomicshuman historyidentity-by-descentpopulation geneticsUSA

Identifiers

PMID32142644
PMCPMC7058830
OpenAlexW3010310589

What OpenQuestion holds

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Registered trials

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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.