Evidence map›Paper›PMID 27436340›Full record

ReviewDNA research : an international journal for rapid publication of reports on genes and genomes2016

Toward high-resolution population genomics using archaeological samples.

Irina Morozova, Pavel Flegontov, Alexander S Mikheyev, Sergey Bruskin, Hosseinali Asgharian, Petr Ponomarenko, Vladimir Klyuchnikov, GaneshPrasad ArunKumar, Egor Prokhortchouk, Yuriy Gankin and 5 more

Open access · goldAbstract readReview
In one paragraph

Review in DNA research : an international journal for rapid publication of reports on genes and genomes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.5field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 60 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. aYChr-DB: a database of ancient human Y haplogroups.NAR genomics and bioinformatics · 2020
    Article
  5. Article
  6. ARIADNA: machine learning method for ancient DNA variant discovery.DNA research : an international journal for rapid publication of reports on genes and genomes · 2018
    Article
  7. Article
  8. Article
  9. Evolutionary adaptation revealed by comparative genome analysis of woolly mammoths and elephants.DNA research : an international journal for rapid publication of reports on genes and genomes · 2017
    Article
  10. 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

15 authors at 13 institutions in 7 countries.

Irina MorozovaInstitute of Evolutionary Medicine, University of Zurich, Zurich, Switzerland tatiana.tatarinova@usc.edu irina.morozova@iem.uzh.ch.
Pavel FlegontovDepartment of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic Bioinformatics Center, A.A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russian Federation.
Alexander S MikheyevEcology and Evolution Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan.
Sergey BruskinVavilov Institute of General Genetics RAS, Moscow, Russia.
Hosseinali AsgharianDepartment of Computational and Molecular Biology, University of Southern California, Los Angeles, CA, USA.
Petr PonomarenkoCenter for Personalized Medicine, Children's Hospital Los Angeles, Los Angeles, CA, USA Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA.
Vladimir KlyuchnikovDonskaya Archeologia, Rostov, Russia.
GaneshPrasad ArunKumarSchool of Chemical and Biotechnology, SASTRA University, Tanjore, India.
Egor ProkhortchoukResearch Center of Biotechnology RAS, Moscow, Russia Department of Biology, Lomonosov Moscow State University, Russia.
Yuriy GankinEPAM Systems, Newtown, PA, USA.
Evgeny RogaevVavilov Institute of General Genetics RAS, Moscow, Russia University of Massachusetts Medical School, Worcester, MA, USA.
Yuri NikolskyVavilov Institute of General Genetics RAS, Moscow, Russia F1 Genomics, San Diego, CA, USA School of Systems Biology, George Mason University, VA, USA.
Ancha BaranovaSchool of Systems Biology, George Mason University, VA, USA Research Centre for Medical Genetics, Moscow, Russia Atlas Biomed Group, Moscow, Russia.
Eran ElhaikDepartment of Animal & Plant Sciences, University of Sheffield, Sheffield, South Yorkshire, UK.
Tatiana V TatarinovaBioinformatics Center, A.A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russian Federation Center for Personalized Medicine, Children's Hospital Los Angeles, Los Angeles, CA, USA Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA tatiana.tatarinova@usc.edu irina.morozova@iem.uzh.ch.
University of Southern California · USChildren's Hospital of Los Angeles · USEPAM Systems (United States)George Mason University · USLomonosov Moscow State University · RUOkinawa Institute of Science and Technology Graduate University · JPResearch Centre for Medical Genetics · RUSASTRA University · INUniversity of Massachusetts Chan Medical School · USUniversity of Ostrava · CZUniversity of Sheffield · GBUniversity of Zurich · CHVavilov Institute of General Genetics · RU

Funding

Medical Research Council MC_PC_14115
6 · The paper itself

Abstract

The term 'ancient DNA' (aDNA) is coming of age, with over 1,200 hits in the PubMed database, beginning in the early 1980s with the studies of 'molecular paleontology'. Rooted in cloning and limited sequencing of DNA from ancient remains during the pre-PCR era, the field has made incredible progress since the introduction of PCR and next-generation sequencing. Over the last decade, aDNA analysis ushered in a new era in genomics and became the method of choice for reconstructing the history of organisms, their biogeography, and migration routes, with applications in evolutionary biology, population genetics, archaeogenetics, paleo-epidemiology, and many other areas. This change was brought by development of new strategies for coping with the challenges in studying aDNA due to damage and fragmentation, scarce samples, significant historical gaps, and limited applicability of population genetics methods. In this review, we describe the state-of-the-art achievements in aDNA studies, with particular focus on human evolution and demographic history. We present the current experimental and theoretical procedures for handling and analysing highly degraded aDNA. We also review the challenges in the rapidly growing field of ancient epigenomics. Advancement of aDNA tools and methods signifies a new era in population genetics and evolutionary medicine research.

Indexed as

DNA, AncientEvolution, MolecularGenome, HumanAnimalsGenetics, PopulationGenomicsHumansSequence Analysis, DNADNA, Ancientancient DNAbioinformaticsepigeneticsnext-generation sequencingpopulation genetics

Identifiers

PMID27436340
PMCPMC4991838
OpenAlexW2497199927

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.