Evidence map›Paper›PMID 24568772›Full record

ArticleAmerican journal of human genetics2013

Pulling out the 1%: whole-genome capture for the targeted enrichment of ancient DNA sequencing libraries.

Meredith L Carpenter, Jason D Buenrostro, Cristina Valdiosera, Hannes Schroeder, Morten E Allentoft, Martin Sikora, Morten Rasmussen, Simon Gravel, Sonia Guillén, Georgi Nekhrizov and 13 more

Open access · bronzeAbstract readHistorical Article
In one paragraph

Article in American journal of human genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed
20.9field-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

117 citing papers in PubMed, 335 citations in OpenAlex.

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57 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

23 authors at 10 institutions in 9 countries.

Meredith L CarpenterDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
Jason D BuenrostroDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
Cristina ValdioseraCentre for GeoGenetics, Natural History Museum of Denmark, Copenhagen 1350, Denmark; Department of Archaeology, Environment, and Community Planning, Faculty of Humanities and Social Sciences, La Trobe University, Melbourne, VIC 3086, Australia.
Hannes SchroederCentre for GeoGenetics, Natural History Museum of Denmark, Copenhagen 1350, Denmark.
Morten E AllentoftCentre for GeoGenetics, Natural History Museum of Denmark, Copenhagen 1350, Denmark.
Martin SikoraDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
Morten RasmussenCentre for GeoGenetics, Natural History Museum of Denmark, Copenhagen 1350, Denmark.
Simon GravelDepartment of Human Genetics and Génome Québec Innovation Centre, McGill University, Montréal, QC H3A 0G1, Canada.
Sonia GuillénCentro Mallqui, Calle Ugarte y Moscoso 165, San Isidro, Lima 27, Peru.
Georgi NekhrizovBulgarian Academy of Sciences, National Institute of Archaeology, Sofia 1000, Bulgaria.
Krasimir LeshtakovDepartment of Archaeology, Sofia University St. Kliment Ohridski, Sofia 1504, Bulgaria.
Diana DimitrovaBulgarian Academy of Sciences, National Institute of Archaeology, Sofia 1000, Bulgaria.
Nikola TheodossievDepartment of Archaeology, Sofia University St. Kliment Ohridski, Sofia 1504, Bulgaria.
Davide PettenerDipartimento di Scienze Biologiche, Geologiche e Ambientali (BiGeA), Università di Bologna, Via Selmi 3, 40126 Bologna, Italy.
Donata LuiselliDipartimento di Scienze Biologiche, Geologiche e Ambientali (BiGeA), Università di Bologna, Via Selmi 3, 40126 Bologna, Italy.
Karla SandovalDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
Andrés Moreno-EstradaDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
Yingrui LiBGI-Shenzhen, Shenzhen 518083, China.
Jun WangBGI-Shenzhen, Shenzhen 518083, China; King Abdulaziz University, Jeddah 21589, Saudi Arabia; Department of Biology, University of Copenhagen, Copenhagen 2200, Denmark; Macau University of Science and Technology, Taipa, Macau 999078, China.
M Thomas P GilbertCentre for GeoGenetics, Natural History Museum of Denmark, Copenhagen 1350, Denmark; Ancient DNA Laboratory, Murdoch University, South Street, Perth, WA 6150, Australia.
Eske WillerslevCentre for GeoGenetics, Natural History Museum of Denmark, Copenhagen 1350, Denmark.
William J GreenleafDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: wjg@stanford.edu.
Carlos D BustamanteDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: cdbustam@stanford.edu.
Stanford University · USNatural History Museum of Denmark · DKBulgarian Academy of Sciences · BGNatural History Museum Aarhus · DKSofia University "St. Kliment Ohridski" · BGUniversity of Bologna · ITBGI Group (China) · CNLa Trobe University · AUMcGill University · CAUniversity of Copenhagen · DK

Funding

Population Structure Admixture and Selection across the 1000 Genomes Data SetU01HG005715 · NHGRI · STANFORD UNIVERSITY · PI BUSTAMANTE, CARLOS DANIEL, CLARK, ANDREW G · 2010 to 2012
$1.1M
Human population genomics in time and space: comparing ancient and modern genomesF32HG007342 · NHGRI · STANFORD UNIVERSITY · PI CARPENTER, MEREDITH LAUREN · 2013 to 2014
$87k
NHGRI NIH HHS F32 HG007342NHGRI NIH HHS HG003220NHGRI NIH HHS HG005715NHGRI NIH HHS U01 HG005715
6 · The paper itself

Abstract

Most ancient specimens contain very low levels of endogenous DNA, precluding the shotgun sequencing of many interesting samples because of cost. Ancient DNA (aDNA) libraries often contain <1% endogenous DNA, with the majority of sequencing capacity taken up by environmental DNA. Here we present a capture-based method for enriching the endogenous component of aDNA sequencing libraries. By using biotinylated RNA baits transcribed from genomic DNA libraries, we are able to capture DNA fragments from across the human genome. We demonstrate this method on libraries created from four Iron Age and Bronze Age human teeth from Bulgaria, as well as bone samples from seven Peruvian mummies and a Bronze Age hair sample from Denmark. Prior to capture, shotgun sequencing of these libraries yielded an average of 1.2% of reads mapping to the human genome (including duplicates). After capture, this fraction increased substantially, with up to 59% of reads mapped to human and enrichment ranging from 6- to 159-fold. Furthermore, we maintained coverage of the majority of regions sequenced in the precapture library. Intersection with the 1000 Genomes Project reference panel yielded an average of 50,723 SNPs (range 3,062-147,243) for the postcapture libraries sequenced with 1 million reads, compared with 13,280 SNPs (range 217-73,266) for the precapture libraries, increasing resolution in population genetic analyses. Our whole-genome capture approach makes it less costly to sequence aDNA from specimens containing very low levels of endogenous DNA, enabling the analysis of larger numbers of samples.

Indexed as

FossilsGenomicsMummiesAdolescentBone and BonesChildDNAGene LibraryHairHigh-Throughput Nucleotide SequencingHistory, AncientHumansMaleNucleic Acid HybridizationPrincipal Component AnalysisRNADNARNA

Identifiers

PMID24568772
PMCPMC3824117
OpenAlexW2122374533

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.