Evidence map›Paper›PMID 24492235›Full record

ReviewNature reviews. Genetics2014

The impact of whole-genome sequencing on the reconstruction of human population history.

Krishna R Veeramah, Michael F Hammer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

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  18. The State of Data in Healthcare: Path Towards Standardization.Journal of healthcare informatics research · 2018
    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

2 authors.

Krishna R Veeramah1] Arizona Research Laboratories Division of Biotechnology, Room 231, Life Sciences South, 1007 East Lowell Street, University of Arizona, Tucson, Arizona 85721, USA. [2] Stony Brook University, Stony Brook, New York 11794-5245, USA.
Michael F HammerArizona Research Laboratories Division of Biotechnology, Room 231, Life Sciences South, 1007 East Lowell Street, University of Arizona, Tucson, Arizona 85721, USA.

Funding

Genomic Patterns of Polymorphism in PrimatesR01HG005226 · NHGRI · UNIVERSITY OF ARIZONA · PI HAMMER, MICHAEL F, WALL, JEFFREY D · 2010 to 2012
$1.7M
NHGRI NIH HHS R01_HG005226
6 · The paper itself

Abstract

Examining patterns of molecular genetic variation in both modern-day and ancient humans has proved to be a powerful approach to learn about our origins. Rapid advances in DNA sequencing technology have allowed us to characterize increasing amounts of genomic information. Although this clearly provides unprecedented power for inference, it also introduces more complexity into the way we use and interpret such data. Here, we review ongoing debates that have been influenced by improvements in our ability to sequence DNA and discuss some of the analytical challenges that need to be overcome in order to fully exploit the rich historical information that is contained in the entirety of the human genome.

Indexed as

Genome, HumanSequence Analysis, DNAHumans

Identifiers

PMID24492235

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.