Evidence map›Paper›PMID 27098910›Full record

ArticleGenetics2016

Efficient Genome-Wide Sequencing and Low-Coverage Pedigree Analysis from Noninvasively Collected Samples.

Noah Snyder-Mackler, William H Majoros, Michael L Yuan, Amanda O Shaver, Jacob B Gordon, Gisela H Kopp, Stephen A Schlebusch, Jeffrey D Wall, Susan C Alberts, Sayan Mukherjee and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
13.5field-weighted citation impact, top 1% 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

39 citing papers in PubMed, 97 citations in OpenAlex.

  1. Review
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  7. Estimating realized relatedness in free-ranging macaques by inferring identity-by-descent segments.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  8. Article
  9. Review
  10. Reflections on connections.Primates; journal of primatology · 2023
    Article
  11. Review
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  13. Article
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  19. The genomics of ecological flexibility, large brains, and long lives in capuchin monkeys revealed with fecalFACS.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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

12 authors at 4 institutions in 5 countries.

Noah Snyder-MacklerDepartment of Evolutionary Anthropology, Duke University, Durham, North Carolina.ORCID 0000-0003-3026-6160
William H MajorosGraduate Program in Computational Biology and Bioinformatics, Duke University, Durham, North Carolina.ORCID 0000-0003-3026-6160
Michael L YuanDepartment of Evolutionary Anthropology, Duke University, Durham, North Carolina.
Amanda O ShaverDepartment of Evolutionary Anthropology, Duke University, Durham, North Carolina.
Jacob B GordonDepartment of Biology, Duke University, Durham, North Carolina.
Gisela H KoppCognitive Ethology Laboratory, German Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany Department of Biology, University of Konstanz, 78457 Konstanz, Germany Department of Migration and Immuno-Ecology, Max Planck Institute for Ornithology, 82319 Radolfzell, Germany.
Stephen A SchlebuschDepartment of Molecular and Cell Biology, University of Cape Town, 7700 Cape Town, South Africa.
Jeffrey D WallInstitute for Human Genetics, University of California, San Francisco, California 94143.
Susan C AlbertsDepartment of Evolutionary Anthropology, Duke University, Durham, North Carolina Department of Biology, Duke University, Durham, North Carolina Institute of Primate Research, National Museums of Kenya, Nairobi, Kenya.
Sayan MukherjeeDepartment of Statistical Science, Duke University, Durham, North Carolina Department of Mathematics, Duke University, Durham, North Carolina Department of Computer Science, Duke University, Durham, North Carolina.
Xiang ZhouDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109 jt5@duke.edu xzhousph@umich.edu.
Jenny TungDepartment of Evolutionary Anthropology, Duke University, Durham, North Carolina Department of Biology, Duke University, Durham, North Carolina Institute of Primate Research, National Museums of Kenya, Nairobi, Kenya Duke University Population Research Institute, Duke University, Durham, North Carolina 27708 jt5@duke.edu xzhousph@umich.edu.ORCID 0000-0003-0416-2958
Duke University · USMax Planck Institute for Ornithology · DEUniversity of Michigan–Ann Arbor · USUniversity of California, San Francisco · US

Funding

STALLARD Admin Supp: Predicting Future Care Needs and Costs for Individual Medicare Enrollees with Incident Suspected Alzheimer's DiseaseP30AG034424 · NIA · DUKE UNIVERSITY · PI SCOTT M. LYNCH · 2009 to 2026
$12.2M
Computational Biology and Bioinformatics Training ProgramT32GM071340 · NIGMS · DUKE UNIVERSITY · PI MAGWENE, PAUL MITAARI · 2005 to 2020
$3.3M
Development of a pedigreed baboon genome resource for biomedical researchR24OD017859 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COX, LAURA A, WALL, JEFFREY D · 2014 to 2017
$3.2M
6 · The paper itself

Abstract

Research on the genetics of natural populations was revolutionized in the 1990s by methods for genotyping noninvasively collected samples. However, these methods have remained largely unchanged for the past 20 years and lag far behind the genomics era. To close this gap, here we report an optimized laboratory protocol for genome-wide capture of endogenous DNA from noninvasively collected samples, coupled with a novel computational approach to reconstruct pedigree links from the resulting low-coverage data. We validated both methods using fecal samples from 62 wild baboons, including 48 from an independently constructed extended pedigree. We enriched fecal-derived DNA samples up to 40-fold for endogenous baboon DNA and reconstructed near-perfect pedigree relationships even with extremely low-coverage sequencing. We anticipate that these methods will be broadly applicable to the many research systems for which only noninvasive samples are available. The lab protocol and software ("WHODAD") are freely available at www.tung-lab.org/protocols-and-software.html and www.xzlab.org/software.html, respectively.

Indexed as

GenomePedigreeAnimalsFecesGenotyping TechniquesPapioSequence Analysis, DNASoftwarebaboonscapture-based enrichmentgenome resequencingnoninvasive samplespaternity analysispedigree

Identifiers

PMID27098910
PMCPMC4896188
OpenAlexW2342114686

What OpenQuestion holds

Textmetadata
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.