Evidence map›Paper›PMID 26338498›Full record

ReviewCurrent opinion in genetics & development2015

The evolution of the human genome.

Corinne N Simonti, John A Capra

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in genetics & development, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Metabolomics Analysis of Mesenchymal Stem Cells.International journal of molecular and cellular medicine · 2019
    Review
  6. 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 at 1 institution in 1 country.

Corinne N SimontiVanderbilt Genetics Institute, Vanderbilt University, Nashville, TN 37235, USA.
John A CapraVanderbilt Genetics Institute, Vanderbilt University, Nashville, TN 37235, USA; Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA; Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37235, USA. Electronic address: tony.capra@vanderbilt.edu.
Vanderbilt University · US

Funding

Training Program in Quantitative Ocular GenomicsT32EY021453 · NEI · VANDERBILT UNIVERSITY · PI BRANTLEY, MILAM A, COX, NANCY J · 2011 to 2020
$1.4M
Modeling the Dynamics of Genome-Scale Data Across TreesR01GM115836 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CAPRA, JOHN ANTHONY, KOSTKA, DENNIS · 2015 to 2017
$1.1M
NEI NIH HHS 5T32EY021453NEI NIH HHS T32 EY021453NIGMS NIH HHS R01 GM115836
6 · The paper itself

Abstract

Human genomes hold a record of the evolutionary forces that have shaped our species. Advances in DNA sequencing, functional genomics, and population genetic modeling have deepened our understanding of human demographic history, natural selection, and many other long-studied topics. These advances have also revealed many previously underappreciated factors that influence the evolution of the human genome, including functional modifications to DNA and histones, conserved 3D topological chromatin domains, structural variation, and heterogeneous mutation patterns along the genome. Using evolutionary theory as a lens to study these phenomena will lead to significant breakthroughs in understanding what makes us human and why we get sick.

Indexed as

Biological EvolutionEvolution, MolecularGene Expression RegulationGenetics, PopulationGenetic VariationGenome, HumanHumansRegulatory Sequences, Nucleic AcidSelection, Genetic

Identifiers

PMID26338498
PMCPMC4695266
OpenAlexW1553792203

What OpenQuestion holds

Textmetadata
LicenceTDM
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.