Evidence map›Paper›PMID 27896054›Full record

ReviewApplied & translational genomics2013

Disease consequences of human adaptation.

Justin C Fay

Open access · hybridAbstract readReview
In one paragraph

Review in Applied & translational genomics, 2013. 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
0.7field-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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Polycystic Ovary Syndrome: An Evolutionary Adaptation to Lifestyle and the Environment.International journal of environmental research and public health · 2022
    Review
  4. "Archealization" of human brain organoids.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Article
  5. Article
  6. Article
  7. Positive and balancing selection onEvolution letters · 2018
    Article
  8. Article
  9. Obstruction of adaptation in diploids by recessive, strongly deleterious alleles.Proceedings of the National Academy of Sciences of the United States of America · 2015
    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

1 author at 1 institution in 1 country.

Justin C FayDepartment of Genetics, Washington University, St. Louis, MO, United States.
Washington University in St. Louis · US

Funding

DETECTING ADAPTIVE EVOLUTION IN THE CONTEXT OF LINKED DELETERIOUS MUTATIONSR21GM098896 · NIGMS · WASHINGTON UNIVERSITY · PI FAY, JUSTIN C · 2012 to 2013
$373k
NIGMS NIH HHS R21 GM098896
6 · The paper itself

Abstract

Adaptive evolution has provided us with a unique set of characteristics that define us as humans, including morphological, physiological and cellular changes. Yet, natural selection provides no assurances that adaptation is without human health consequences; advantageous mutations will increase in frequency so long as there is a net gain in fitness. As such, the current incidence of human disease can depend on previous adaptations. Here, I review genome-wide and gene-specific studies in which adaptive evolution has played a role in shaping human genetic disease. In addition to the disease consequences of adaptive phenotypes, such as bipedal locomotion and resistance to certain pathogens, I review evidence that adaptive mutations have influenced the frequency of linked disease alleles through genetic hitchhiking. Taken together, the links between human adaptation and disease highlight the importance of their combined influence on functional variation within the human genome and offer opportunities to discover and characterize such variation.

Indexed as

AdaptationEvolutionHealthHitchhikingTrade-offs

Identifiers

PMID27896054
PMCPMC5121272
OpenAlexW2120281162

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.