Evidence map›Paper›PMID 28169989›Full record

ArticleNature communications2017

Clustering of 770,000 genomes reveals post-colonial population structure of North America.

Eunjung Han, Peter Carbonetto, Ross E Curtis, Yong Wang, Julie M Granka, Jake Byrnes, Keith Noto, Amir R Kermany, Natalie M Myres, Mathew J Barber and 9 more

Abstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 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

61 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
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  7. Article
  8. Article
  9. Overview of Alzheimer's Disease Neuroimaging Initiative and future clinical trials.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Decoding Genetics, Ancestry, and Geospatial Context for Precision Health.medRxiv : the preprint server for health sciences · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Selecting Clustering Algorithms for Identity-By-Descent Mapping.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2023
    Article

1 more citing papers are in PubMed but not listed here.

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

19 authors.

Eunjung HanAncestryDNA, San Francisco, California 94107, USA.
Peter CarbonettoAncestryDNA, San Francisco, California 94107, USA.
Ross E CurtisAncestryDNA, Lehi, Utah 84043, USA.
Yong WangAncestryDNA, San Francisco, California 94107, USA.
Julie M GrankaAncestryDNA, San Francisco, California 94107, USA.
Jake ByrnesAncestryDNA, San Francisco, California 94107, USA.
Keith NotoAncestryDNA, San Francisco, California 94107, USA.
Amir R KermanyAncestryDNA, San Francisco, California 94107, USA.
Natalie M MyresAncestryDNA, Lehi, Utah 84043, USA.
Mathew J BarberAncestryDNA, San Francisco, California 94107, USA.
Kristin A RandAncestryDNA, San Francisco, California 94107, USA.
Shiya SongDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Theodore RomanDepartment of Computational Biology, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA.
Erin BattatW.E.B. Du Bois Research Institute, Hutchins Center for African and African American Research, Harvard University, Cambridge, Massachusetts 02138, USA.
Eyal ElyashivAncestryDNA, San Francisco, California 94107, USA.
Harendra GuturuAncestryDNA, San Francisco, California 94107, USA.
Eurie L HongAncestryDNA, San Francisco, California 94107, USA.
Kenneth G ChahineAncestryDNA, Lehi, Utah 84043, USA.
Catherine A BallAncestryDNA, San Francisco, California 94107, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite strides in characterizing human history from genetic polymorphism data, progress in identifying genetic signatures of recent demography has been limited. Here we identify very recent fine-scale population structure in North America from a network of over 500 million genetic (identity-by-descent, IBD) connections among 770,000 genotyped individuals of US origin. We detect densely connected clusters within the network and annotate these clusters using a database of over 20 million genealogical records. Recent population patterns captured by IBD clustering include immigrants such as Scandinavians and French Canadians; groups with continental admixture such as Puerto Ricans; settlers such as the Amish and Appalachians who experienced geographic or cultural isolation; and broad historical trends, including reduced north-south gene flow. Our results yield a detailed historical portrait of North America after European settlement and support substantial genetic heterogeneity in the United States beyond that uncovered by previous studies.

Indexed as

Cluster AnalysisDemographyEmigrants and ImmigrantsGene FlowGenetics, PopulationGenotyping TechniquesHaplotypesHumansPolymorphism, Single NucleotidePopulationPopulation DynamicsSequence Analysis, DNAUnited States

Identifiers

PMID28169989
PMCPMC5309710

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LicenceCC BY
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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.