Evidence map›Paper›PMID 32929667›Full record

ArticleInterdisciplinary sciences, computational life sciences2020

The Landscape of Micro-Inversions Provide Clues for Population Genetic Analysis of Humans.

Li Qu, Luotong Wang, Feifei He, Yilun Han, Longshu Yang, May D Wang, Huaiqiu Zhu

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Interdisciplinary sciences, computational life sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

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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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 2 countries.

Li QuState Key Laboratory for Turbulence and Complex Systems and Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, 100871, China.
Luotong WangState Key Laboratory for Turbulence and Complex Systems and Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, 100871, China.
Feifei HeState Key Laboratory for Turbulence and Complex Systems and Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, 100871, China.
Yilun HanState Key Laboratory for Turbulence and Complex Systems and Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, 100871, China.
Longshu YangState Key Laboratory for Turbulence and Complex Systems and Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, 100871, China.
May D WangWallace H. Coulter Department of Biomedical Engineering, Georgia Tech and Emory University, Atlanta, GA, 30332, USA.
Huaiqiu ZhuState Key Laboratory for Turbulence and Complex Systems and Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, 100871, China. hqzhu@pku.edu.cn.ORCID http://orcid.org/0000-0002-6376-218X
Peking University · CNThe Wallace H. Coulter Department of Biomedical Engineering · US

Funding

National Key Research and Development Program of China 2017YFC1200205National Natural Science Foundation of China 31671366National Natural Science Foundation of China 91231119
6 · The paper itself

Abstract

backgroundVariations in the human genome have been studied extensively. However, little is known about the role of micro-inversions (MIs), generally defined as small (< 100 bp) inversions, in human evolution, diversity, and health. Depicting the pattern of MIs among diverse populations is critical for interpreting human evolutionary history and obtaining insight into genetic diseases.

resultsIn this paper, we explored the distribution of MIs in genomes from 26 human populations and 7 nonhuman primate genomes and analyzed the phylogenetic structure of the 26 human populations based on the MIs. We further investigated the functions of the MIs located within genes associated with human health. With hg19 as the reference genome, we detected 6968 MIs among the 1937 human samples and 24,476 MIs among the 7 nonhuman primate genomes. The analyses of MIs in human genomes showed that the MIs were rarely located in exonic regions. Nonhuman primates and human populations shared only 82 inverted alleles, and Africans had the most inverted alleles in common with nonhuman primates, which was consistent with the "Out of Africa" hypothesis. The clustering of MIs among the human populations also coincided with human migration history and ancestral lineages.

conclusionsWe propose that MIs are potential evolutionary markers for investigating population dynamics. Our results revealed the diversity of MIs in human populations and showed that they are essential to construct human population relationships and have a potential effect on human health.

Indexed as

Evolution, MolecularGenetics, PopulationAnimalsGenetic VariationHumansMacaca mulattaPhylogenyEvolutionGenomeHigh-throughput sequencingMicro-inversionsStructural variations

Identifiers

PMID32929667
PMCPMC7658078
OpenAlexW3085525475

What OpenQuestion holds

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LicenceCC BY
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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.