Evidence map›Paper›PMID 28711136›Full record

ReviewRheumatic diseases clinics of North America2017

Population Genetics and Natural Selection in Rheumatic Disease.

Paula S Ramos

Open access · greenAbstract readReview
In one paragraph

Review in Rheumatic diseases clinics of North America, 2017. 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
1.4field-weighted citation impact, top 18% 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, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  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

1 author at 1 institution in 1 country.

Paula S RamosDivision of Rheumatology and Immunology, Department of Medicine, Medical University of South Carolina, 96 Jonathan Lucas Street, Suite 816, Charleston, SC 29425, USA; Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA. Electronic address: ramosp@musc.edu.
Medical University of South Carolina · US

Funding

Resource CoreP30AR072582 · NIAMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI JAMES C OATES · 2017 to 2026
$8.5M
Patient Resource CoreP60AR062755 · NIAMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI GILKESON, GARY S · 2012 to 2016
$5.8M
The role of natural selection in SLE risk among African-AmericansK01AR067280 · NIAMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI RAMOS, PAULA SOFIA · 2015 to 2018
$516k
DNA methylation biomarkers of scleroderma-associated interstitial lung diseaseR03AR065801 · NIAMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI RAMOS, PAULA SOFIA · 2014 to 2016
$231k
NIAMS NIH HHS K01 AR067280NIAMS NIH HHS P30 AR072582NIAMS NIH HHS P60 AR062755NIAMS NIH HHS R03 AR065801
6 · The paper itself

Abstract

Human genetic diversity is the result of population genetic forces. This genetic variation influences disease risk and contributes to health disparities. Natural selection is an important influence on human genetic variation. Because immune and inflammatory function genes are enriched for signals of positive selection, the prevalence of rheumatic disease-risk alleles seen in different populations is partially the result of differing selective pressures (eg, due to pathogens). This review summarizes the genetic regions associated with susceptibility to different rheumatic diseases and concomitant evidence for natural selection, including known agents of selection exerting selective pressure in these regions.

Indexed as

Genetics, PopulationSelection, GeneticAdaptation, BiologicalHumansRheumatic DiseasesAdaptationGenetic disease associationGenetic disease riskGenetic diversityGenetic variationNatural selectionPopulation geneticsRheumatic diseases

Identifiers

PMID28711136
PMCPMC5551448
OpenAlexW2735378100

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.