Evidence map›Paper›PMID 34228221›Full record

ArticleHuman genetics2021

Highly pleiotropic variants of human traits are enriched in genomic regions with strong background selection.

Irene Novo, Eugenio López-Cortegano, Armando Caballero

Abstract read
In one paragraph

Article in Human genetics, 2021. 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. Pooled it
  2. Article
  3. Article
  4. Article
  5. Genome-wide fine-mapping improves identification of causal variants.medRxiv : the preprint server for health sciences · 2025
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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

3 authors.

Irene NovoCentro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, 36310, Vigo, Spain. irene.novo.gimenez@uvigo.es.ORCID http://orcid.org/0000-0001-7187-1872
Eugenio López-CorteganoCentro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, 36310, Vigo, Spain.ORCID http://orcid.org/0000-0001-6914-6305
Armando CaballeroCentro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, 36310, Vigo, Spain.ORCID http://orcid.org/0000-0001-7391-6974

Funding

agencia estatal de investigación CGL2016-75904-C2-1-Pagencia estatal de investigación PID2020-114426GB-C21Ministerio de Ciencia, Innovación y Universidades FPU18/04642Xunta de Galicia GRC, ED431C 2020-05
6 · The paper itself

Abstract

Recent studies have shown the ubiquity of pleiotropy for variants affecting human complex traits. These studies also show that rare variants tend to be less pleiotropic than common ones, suggesting that purifying natural selection acts against highly pleiotropic variants of large effect. Here, we investigate the mean frequency, effect size and recombination rate associated with pleiotropic variants, and focus particularly on whether highly pleiotropic variants are enriched in regions with putative strong background selection. We evaluate variants for 41 human traits using data from the NHGRI-EBI GWAS Catalog, as well as data from other three studies. Our results show that variants involving a higher degree of pleiotropy tend to be more common, have larger mean effect sizes, and contribute more to heritability than variants with a lower degree of pleiotropy. This is consistent with the fact that variants of large effect and frequency are more likely detected by GWAS. Using data from four different studies, we also show that more pleiotropic variants are enriched in genome regions with stronger background selection than less pleiotropic variants, suggesting that highly pleiotropic variants are subjected to strong purifying selection. From the above results, we hypothesized that a number of highly pleiotropic variants of low effect/frequency may pass undetected by GWAS.

Indexed as

Genetic PleiotropyMultifactorial InheritancePolymorphism, Single NucleotideGenome-Wide Association StudyHumans

Identifiers

PMID34228221
PMCPMC8338839

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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.