Evidence map›Paper›PMID 36369063›Full record

ReviewHuman genomics2022

Placing human gene families into their evolutionary context.

Alex Dornburg, Rittika Mallik, Zheng Wang, Moisés A Bernal, Brian Thompson, Elspeth A Bruford, Daniel W Nebert, Vasilis Vasiliou, Laurel R Yohe, Jeffrey A Yoder and 1 more

Abstract readReview
In one paragraph

Review in Human genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The Role of Hydrogen Sulfide (HInternational journal of molecular sciences · 2023
    Pooled it
  2. DetectNAR genomics and bioinformatics · 2026
    Article
  3. Evolutionary study of oncogenes and tumor suppressor genes in breast carcinoma.Journal of Taibah University Medical Sciences · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

11 authors.

Alex DornburgDepartment of Bioinformatics and Genomics, UNC-Charlotte, Charlotte, NC, USA. adornbur@uncc.edu.
Rittika MallikDepartment of Bioinformatics and Genomics, UNC-Charlotte, Charlotte, NC, USA.
Zheng WangDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Moisés A BernalDepartment of Biological Sciences, College of Science and Mathematics, Auburn University, Auburn, AL, USA.
Brian ThompsonDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA.
Elspeth A BrufordDepartment of Haematology, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Daniel W NebertDepartment of Environmental Health, Center for Environmental Genetics, University of Cincinnati Medical Center, P.O. Box 670056, Cincinnati, OH, 45267, USA.
Vasilis VasiliouDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA.
Laurel R YoheDepartment of Bioinformatics and Genomics, UNC-Charlotte, Charlotte, NC, USA.
Jeffrey A YoderDepartment of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA.
Jeffrey P TownsendDepartment of Bioinformatics and Genomics, UNC-Charlotte, Charlotte, NC, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
REPRODUCTIVE AND DEVELOPMENTAL TOXICOLOGY RESEARCHP30ES006096 · NIEHS · UNIVERSITY OF CINCINNATI · PI PINNEY, SUSAN MENGEL · 1992 to 2022
$35.4M
SENSORS FOR WATER CONTAMINANT DETECTION AND MONITORINGP42ES033815 · NIEHS · YALE UNIVERSITY · PI Nicole Deziel · 2022 to 2026
$9.5M
The Nomenclature of Human and Vertebrate GenesU24HG003345 · NHGRI · UNIVERSITY OF CAMBRIDGE · PI Elspeth Bruford · 2018 to 2026
$3.9M
NHGRI NIH HHS U24 HG003345NHGRI NIH HHS U24HG003345NIEHS NIH HHS P42 ES033815NIH HHS P30ES006096Wellcome TrustWellcome Trust 208349/Z/17/Z
6 · The paper itself

Abstract

Following the draft sequence of the first human genome over 20 years ago, we have achieved unprecedented insights into the rules governing its evolution, often with direct translational relevance to specific diseases. However, staggering sequence complexity has also challenged the development of a more comprehensive understanding of human genome biology. In this context, interspecific genomic studies between humans and other animals have played a critical role in our efforts to decode human gene families. In this review, we focus on how the rapid surge of genome sequencing of both model and non-model organisms now provides a broader comparative framework poised to empower novel discoveries. We begin with a general overview of how comparative approaches are essential for understanding gene family evolution in the human genome, followed by a discussion of analyses of gene expression. We show how homology can provide insights into the genes and gene families associated with immune response, cancer biology, vision, chemosensation, and metabolism, by revealing similarity in processes among distant species. We then explain methodological tools that provide critical advances and show the limitations of common approaches. We conclude with a discussion of how these investigations position us to gain fundamental insights into the evolution of gene families among living organisms in general. We hope that our review catalyzes additional excitement and research on the emerging field of comparative genomics, while aiding the placement of the human genome into its existentially evolutionary context.

Indexed as

Evolution, MolecularGenomicsAnimalsBase SequenceGenomeHumansPhylogeny

Identifiers

PMID36369063
PMCPMC9652883

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.