Evidence map›Paper›PMID 25634236›Full record

ArticlePLoS genetics2015

Tissue-specific effects of genetic and epigenetic variation on gene regulation and splicing.

Maria Gutierrez-Arcelus, Halit Ongen, Tuuli Lappalainen, Stephen B Montgomery, Alfonso Buil, Alisa Yurovsky, Julien Bryois, Ismael Padioleau, Luciana Romano, Alexandra Planchon and 11 more

Abstract read
In one paragraph

Article in PLoS genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed, 2 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

119 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  4. Article
  5. Review
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  7. Review
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  12. Connecting intermediate phenotypes to disease using multi-omics in heart failure.medRxiv : the preprint server for health sciences · 2024
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59 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Maria Gutierrez-ArcelusDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland; Swiss Institute of Bioinformatics (SIB), Geneva, Switzerland.
Halit OngenDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland; Swiss Institute of Bioinformatics (SIB), Geneva, Switzerland.
Tuuli LappalainenDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland; Swiss Institute of Bioinformatics (SIB), Geneva, Switzerland.
Stephen B MontgomeryDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Departments of Pathology and Genetics, Stanford University, Stanford, California, United States of America.
Alfonso BuilDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland; Swiss Institute of Bioinformatics (SIB), Geneva, Switzerland.
Alisa YurovskyDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland; Swiss Institute of Bioinformatics (SIB), Geneva, Switzerland.
Julien BryoisDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland; Swiss Institute of Bioinformatics (SIB), Geneva, Switzerland.
Ismael PadioleauDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland; Swiss Institute of Bioinformatics (SIB), Geneva, Switzerland.
Luciana RomanoDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland; Swiss Institute of Bioinformatics (SIB), Geneva, Switzerland.
Alexandra PlanchonDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland; Swiss Institute of Bioinformatics (SIB), Geneva, Switzerland.
Emilie FalconnetDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland.
Deborah BielserDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland.
Maryline GagnebinDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland.
Thomas GigerDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland.
Christelle BorelDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland.
Audrey LetourneauDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland.
Periklis MakrythanasisDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland.
Michel GuipponiDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland.
Corinne GehrigDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland.
Stylianos E AntonarakisDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland.
Emmanouil T DermitzakisDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland; Swiss Institute of Bioinformatics (SIB), Geneva, Switzerland; Center of Excellence in Genomic Medicine Research, KingAbdulaziz University, Jeddah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how genetic variation affects distinct cellular phenotypes, such as gene expression levels, alternative splicing and DNA methylation levels, is essential for better understanding of complex diseases and traits. Furthermore, how inter-individual variation of DNA methylation is associated to gene expression is just starting to be studied. In this study, we use the GenCord cohort of 204 newborn Europeans' lymphoblastoid cell lines, T-cells and fibroblasts derived from umbilical cords. The samples were previously genotyped for 2.5 million SNPs, mRNA-sequenced, and assayed for methylation levels in 482,421 CpG sites. We observe that methylation sites associated to expression levels are enriched in enhancers, gene bodies and CpG island shores. We show that while the correlation between DNA methylation and gene expression can be positive or negative, it is very consistent across cell-types. However, this epigenetic association to gene expression appears more tissue-specific than the genetic effects on gene expression or DNA methylation (observed in both sharing estimations based on P-values and effect size correlations between cell-types). This predominance of genetic effects can also be reflected by the observation that allele specific expression differences between individuals dominate over tissue-specific effects. Additionally, we discover genetic effects on alternative splicing and interestingly, a large amount of DNA methylation correlating to alternative splicing, both in a tissue-specific manner. The locations of the SNPs and methylation sites involved in these associations highlight the participation of promoter proximal and distant regulatory regions on alternative splicing. Overall, our results provide high-resolution analyses showing how genome sequence variation has a broad effect on cellular phenotypes across cell-types, whereas epigenetic factors provide a secondary layer of variation that is more tissue-specific. Furthermore, the details of how this tissue-specificity may vary across inter-relations of molecular traits, and where these are occurring, can yield further insights into gene regulation and cellular biology as a whole.

Indexed as

Epigenesis, GeneticGenetic VariationAllelesAlternative SplicingCpG IslandsDNA MethylationGene Expression RegulationHumansInfant, NewbornOrgan SpecificityPolymorphism, Single NucleotidePromoter Regions, GeneticRegulatory Sequences, Nucleic Acid

Identifiers

PMID25634236
PMCPMC4310612

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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.