Evidence map›Paper›PMID 31393794›Full record

ArticleEnvironmental health perspectives2019

Customized MethylC-Capture Sequencing to Evaluate Variation in the Human Sperm DNA Methylome Representative of Altered Folate Metabolism.

Donovan Chan, Xiaojian Shao, Marie-Charlotte Dumargne, Mahmoud Aarabi, Marie-Michelle Simon, Tony Kwan, Janice L Bailey, Bernard Robaire, Sarah Kimmins, Maria C San Gabriel and 7 more

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 40 citations in OpenAlex.

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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

17 authors at 7 institutions in 2 countries.

Donovan ChanResearch Institute of the McGill University Health Centre, Montreal, Quebec, Canada.
Xiaojian ShaoCanadian Centre for Computational Genomics, McGill University, Montreal, Quebec, Canada.
Marie-Charlotte DumargneResearch Institute of the McGill University Health Centre, Montreal, Quebec, Canada.
Mahmoud AarabiMedical Genetics & Genomics Laboratories, University of Pittsburgh Medical Center (UPMC) Magee-Womens Hospital, Pittsburgh, Pennsylvania, USA.
Marie-Michelle SimonMcGill University and Génome Québec Innovation Centre, Montreal, Quebec, Canada.
Tony KwanMcGill University and Génome Québec Innovation Centre, Montreal, Quebec, Canada.
Janice L BaileyCentre de recherche en reproduction, développement et santé intergénérationnelle, Université Laval, Faculté des sciences de l'agriculture et de l'alimentation, Quebec, Quebec, Canada.
Bernard RobaireDepartment of Pharmacology and Therapeutics, McGill University, Montreal, Quebec, Canada.
Sarah KimminsDepartment of Animal Sciences, McGill University, Montreal, Quebec, Canada.
Maria C San GabrielResearch Institute of the McGill University Health Centre, Montreal, Quebec, Canada.
Armand ZiniResearch Institute of the McGill University Health Centre, Montreal, Quebec, Canada.
Clifford LibrachCanadian Reproductive Assisted Technology (CReATe) Fertility Centre, Toronto, Ontario, Canada.
Sergey MoskovtsevCanadian Reproductive Assisted Technology (CReATe) Fertility Centre, Toronto, Ontario, Canada.
Elin GrundbergDepartment of Human Genetics, McGill University, Montreal, Quebec, Canada.
Guillaume BourqueCanadian Centre for Computational Genomics, McGill University, Montreal, Quebec, Canada.
Tomi PastinenDepartment of Human Genetics, McGill University, Montreal, Quebec, Canada.
Jacquetta M TraslerResearch Institute of the McGill University Health Centre, Montreal, Quebec, Canada.
McGill University Health Centre · CAMcGill University · CAChildren's Mercy Hospital · USMcGill University and Génome Québec Innovation Centre · CAUniversity of Toronto · CAMinistère de l'Agriculture, des Pêcheries et de l'Alimentation · CAUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe sperm DNA methylation landscape is unique and critical for offspring health. If gamete-derived DNA methylation escapes reprograming in early embryos, epigenetic defects in sperm may be transmitted to the next generation. Current techniques to assess sperm DNA methylation show bias toward CpG-dense regions and do not target areas of dynamic methylation, those predicted to be environmentally sensitive and tunable regulatory elements.

objectivesOur goal was to assess variation in human sperm DNA methylation and design a targeted capture panel to interrogate the human sperm methylome.

methodsTo characterize variation in sperm DNA methylation, we performed whole genome bisulfite sequencing (WGBS) on an equimolar pool of sperm DNA from a wide cross section of 30 men varying in age, fertility status, methylenetetrahydrofolate reductase (

resultsThrough WGBS we discovered nearly 1 million CpGs possessing intermediate methylation levels (20-80%), termed dynamic sperm CpGs. These dynamic CpGs, along with 2 million commonly assessed CpGs, were used to customize a capture panel for targeted interrogation of the human sperm methylome and test its ability to detect effects of altered folate metabolism. As compared with DISCUSSION: Our sperm panel allowed the discovery of differential methylation following conditions affecting folate metabolism in novel dynamic sperm CpGs. Improved ability to examine variation in sperm DNA methylation can facilitate comprehensive studies of environment-epigenome interactions. https://doi.org/10.1289/EHP4812.

Indexed as

DNA MethylationEpigenomeAdultFolic AcidGenetic TechniquesGenotypeHumansMaleMethylenetetrahydrofolate Reductase (NADPH2)Middle AgedSpermatozoaFolic AcidMethylenetetrahydrofolate Reductase (NADPH2)

Identifiers

PMID31393794
PMCPMC6792365
OpenAlexW2968457722

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.