Evidence map›Paper›PMID 33185667›Full record

ArticleMolecular biology and evolution2021

Three Signatures of Adaptive Polymorphism Exemplified by Malaria-Associated Genes.

Jacob A Tennessen, Manoj T Duraisingh

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in Molecular biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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.

Jacob A TennessenHarvard T.H. Chan School of Public Health, Boston, MA.
Manoj T DuraisinghHarvard T.H. Chan School of Public Health, Boston, MA.
Harvard University · US

Funding

Functional analysis of red blood cell determinants of Plasmodium invasionR01HL139337 · NHLBI · HARVARD SCHOOL OF PUBLIC HEALTH · PI DURAISINGH, MANOJ T · 2017 to 2020
$2.3M
Elucidating ligand-receptor interactions required for Plasmodium vivax blood-stage infectionR01AI140751 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI DURAISINGH, MANOJ T · 2018 to 2022
$2.0M
NHLBI NIH HHS R01 HL139337NIAID NIH HHS R01 AI140751
6 · The paper itself

Abstract

Malaria has been one of the strongest selective pressures on our species. Many of the best-characterized cases of adaptive evolution in humans are in genes tied to malaria resistance. However, the complex evolutionary patterns at these genes are poorly captured by standard scans for nonneutral evolution. Here, we present three new statistical tests for selection based on population genetic patterns that are observed more than once among key malaria resistance loci. We assess these tests using forward-time evolutionary simulations and apply them to global whole-genome sequencing data from humans, and thus we show that they are effective at distinguishing selection from neutrality. Each test captures a distinct evolutionary pattern, here called Divergent Haplotypes, Repeated Shifts, and Arrested Sweeps, associated with a particular period of human prehistory. We clarify the selective signatures at known malaria-relevant genes and identify additional genes showing similar adaptive evolutionary patterns. Among our top outliers, we see a particular enrichment for genes involved in erythropoiesis and for genes previously associated with malaria resistance, consistent with a major role for malaria in shaping these patterns of genetic diversity. Polymorphisms at these genes are likely to impact resistance to malaria infection and contribute to ongoing host-parasite coevolutionary dynamics.

Indexed as

Genetic TechniquesSelection, GeneticStatistics as TopicAdaptation, BiologicalHumansMalariabalancing selectionerythrocytehuman population genomicsmalariapositive selectionselection scan

Identifiers

PMID33185667
PMCPMC8042748
OpenAlexW3101825452

What Socratic 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 Socratic graph.