Evidence map›Paper›PMID 32778142›Full record

ArticleGenome biology2020

ContamLD: estimation of ancient nuclear DNA contamination using breakdown of linkage disequilibrium.

Nathan Nakatsuka, Éadaoin Harney, Swapan Mallick, Matthew Mah, Nick Patterson, David Reich

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Descent, marriage, and residence practices of a 3,800-year-old pastoral community in Central Eurasia.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  15. Article
  16. Article
  17. Community-engaged ancient DNA project reveals diverse origins of 18th-century African descendants in Charleston, South Carolina.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  18. Article
  19. Article
  20. Article
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

6 authors.

Nathan NakatsukaDepartment of Genetics, New Research Building, Harvard Medical School, 77 Ave. Louis Pasteur, Boston, MA, 02115, USA. nathan_nakatsuka@hms.harvard.edu.ORCID 0000-0002-5091-4914
Éadaoin HarneyDepartment of Genetics, New Research Building, Harvard Medical School, 77 Ave. Louis Pasteur, Boston, MA, 02115, USA. harney@g.harvard.edu.
Swapan MallickDepartment of Genetics, New Research Building, Harvard Medical School, 77 Ave. Louis Pasteur, Boston, MA, 02115, USA.
Matthew MahDepartment of Genetics, New Research Building, Harvard Medical School, 77 Ave. Louis Pasteur, Boston, MA, 02115, USA.
Nick PattersonDepartment of Human Evolutionary Biology, Harvard University, 16 Divinity Ave., Cambridge, MA, 02138, USA.
David ReichDepartment of Genetics, New Research Building, Harvard Medical School, 77 Ave. Louis Pasteur, Boston, MA, 02115, USA. reich@genetics.med.harvard.edu.

Funding

Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
Methods for Genome-wide Association Studies in Admixed PopulationsR01HG006399 · NHGRI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI PRICE, ALKES L · 2011 to 2024
$6.3M
Population mixture in evolutionary and medical geneticsR01GM100233 · NIGMS · HARVARD MEDICAL SCHOOL · PI PATTERSON, NICK J, REICH, DAVID E · 2012 to 2019
$2.7M
Howard Hughes Medical InstituteNHGRI NIH HHS R01 HG006399NIGMS NIH HHS GM007753NIGMS NIH HHS R01 GM100233NIGMS NIH HHS T32 GM007753NIH HHS GM100233NIH HHS HG006399
6 · The paper itself

Abstract

We report a method called ContamLD for estimating autosomal ancient DNA (aDNA) contamination by measuring the breakdown of linkage disequilibrium in a sequenced individual due to the introduction of contaminant DNA. ContamLD leverages the idea that contaminants should have haplotypes uncorrelated to those of the studied individual. Using simulated data, we confirm that ContamLD accurately infers contamination rates with low standard errors: for example, less than 1.5% standard error in cases with less than 10% contamination and 500,000 sequences covering SNPs. This method is optimized for application to aDNA, taking advantage of characteristic aDNA damage patterns to provide calibrated contamination estimates, and is available at https://github.com/nathan-nakatsuka/ContamLD .

Indexed as

DNA ContaminationLinkage DisequilibriumSoftwareDNA, AncientHaplotypesDNA, AncientAncient DNAAutosomal DNAContaminationLinkage disequilibriumNuclear DNA

Identifiers

PMID32778142
PMCPMC7418405

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.