Evidence map›Paper›PMID 34426515›Full record

ArticleGenome research2021

Inferring genes that escape X-Chromosome inactivation reveals important contribution of variable escape genes to sex-biased diseases.

Renan Sauteraud, Jill M Stahl, Jesica James, Marisa Englebright, Fang Chen, Xiaowei Zhan, Laura Carrel, Dajiang J Liu

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
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  7. Sex differences in disease: sex chromosome and immunity.Journal of translational medicine · 2024
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  11. Revisiting sex as a biological variable in hypertension research.The Journal of clinical investigation · 2024
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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

8 authors at 3 institutions in 2 countries.

Renan SauteraudDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania 17033, USA.ORCID 0000-0002-3485-6849
Jill M StahlDepartment of Biochemistry and Molecular Biology, Penn State College of Medicine, Hershey, Pennsylvania 17033, USA.
Jesica JamesDepartment of Biochemistry and Molecular Biology, Penn State College of Medicine, Hershey, Pennsylvania 17033, USA.
Marisa EnglebrightDepartment of Biochemistry and Molecular Biology, Penn State College of Medicine, Hershey, Pennsylvania 17033, USA.
Fang ChenDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania 17033, USA.
Xiaowei ZhanDepartment of Clinical Science, Quantitative Biomedical Research Center, University of Texas Southwestern Medical Center, Dallas, Texas 75390-8821, USA.
Laura CarrelDepartment of Biochemistry and Molecular Biology, Penn State College of Medicine, Hershey, Pennsylvania 17033, USA.ORCID 0000-0002-5868-4228
Dajiang J LiuDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania 17033, USA.ORCID 0000-0003-2909-7646
Penn State Milton S. Hershey Medical Center · USPennsylvania State University · USThe University of Texas Southwestern Medical Center · US

Funding

Tools for integrative genomics and disease association study for the X chromosomeR01GM126479 · NIGMS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI LIU, DAJIANG · 2018 to 2021
$1.2M
NIGMS NIH HHS R01 GM126479
6 · The paper itself

Abstract

The X Chromosome plays an important role in human development and disease. However, functional genomic and disease association studies of X genes greatly lag behind autosomal gene studies, in part owing to the unique biology of X-Chromosome inactivation (XCI). Because of XCI, most genes are only expressed from one allele. Yet, ∼30% of X genes "escape" XCI and are transcribed from both alleles, many only in a proportion of the population. Such interindividual differences are likely to be disease relevant, particularly for sex-biased disorders. To understand the functional biology for X-linked genes, we developed X-Chromosome inactivation for RNA-seq (XCIR), a novel approach to identify escape genes using bulk RNA-seq data. Our method, available as an R package, is more powerful than alternative approaches and is computationally efficient to handle large population-scale data sets. Using annotated XCI states, we examined the contribution of X-linked genes to the disease heritability in the United Kingdom Biobank data set. We show that escape and variable escape genes explain the largest proportion of X heritability, which is in large part attributable to X genes with Y homology. Finally, we investigated the role of each XCI state in sex-biased diseases and found that although XY homologous gene pairs have a larger overall effect size, enrichment for variable escape genes is significantly increased in female-biased diseases. Our results, for the first time, quantitate the importance of variable escape genes for the etiology of sex-biased disease, and our pipeline allows analysis of larger data sets for a broad range of phenotypes.

Indexed as

Genes, X-LinkedX Chromosome InactivationAllelesAnimalsFemaleGenomicsX Chromosome

Identifiers

PMID34426515
PMCPMC8415373
OpenAlexW3194742723

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.