Evidence map›Paper›PMID 30227883›Full record

ArticleClinical epigenetics2018

Establishing a stable, repeatable platform for measuring changes in sperm DNA methylation.

Mohammad Abbasi, Andrew D Smith, Harish Swaminathan, Peer Sangngern, Amanda Douglas, Alan Horsager, Douglas T Carrell, Philip J Uren

Abstract read
In one paragraph

Article in Clinical epigenetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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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.

Mohammad AbbasiEpisona, 69 N. Catalina Ave., Pasadena, USA.
Andrew D SmithUniversity of Southern California, 1051 Childs Way, Los Angeles, 90089, USA.
Harish SwaminathanEpisona, 69 N. Catalina Ave., Pasadena, USA.
Peer SangngernNational Genetics Institute, 2440 S Sepulveda Blvd, Los Angeles, 90064, USA.
Amanda DouglasNational Genetics Institute, 2440 S Sepulveda Blvd, Los Angeles, 90064, USA.
Alan HorsagerEpisona, 69 N. Catalina Ave., Pasadena, USA.
Douglas T CarrellUniversity of Utah School of Medicine, 30 N 1900 E, Salt Lake City, 84132, USA.
Philip J UrenEpisona, 69 N. Catalina Ave., Pasadena, USA. uren@episona.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral independent research groups have shown that alterations in human sperm methylation profiles correlate with decreased fecundity and an increased risk of poor embryo development. Moving these initial findings from the lab into a clinical setting where they can be used to measure male infertility though requires a platform that is stable and robust against batch effects that can occur between sample runs. Operating parameters must be established, performance characteristics determined, and guidelines set to ensure repeatability and accuracy. The standard for technical validation of a lab developed test (LDT) in the USA comes from the Clinical Laboratory Improvement Amendments (CLIA). However, CLIA was introduced in 1988, before the advent of genome-wide profiling and associated computational analysis. This, coupled with its intentionally general nature, makes its interpretation for epigenetic assays non-trivial.

resultsHere, we present an interpretation of the CLIA technical validation requirements for profiling DNA methylation and calling aberrant methylation using the Illumina Infinium platform (e.g., the 450HM and MethylationEPIC). We describe an experimental design to meet these requirements, the experimental results obtained, and the operating parameters established.

conclusionsThe CLIA guidelines, although not intended for high-throughput assays, can be interpreted in a way that is consistent with modern epigenetic assays. Based on such an interoperation, Illumina's Infinium platform is quite amenable to usage in a clinical setting for diagnostic work.

Indexed as

DNA MethylationCpG IslandsEpigenomicsGenome-Wide Association StudyHigh-Throughput Nucleotide SequencingHumansMaleSpermatozoaCLIAClinical Laboratory Improvement AmendmentsDNA methylationEpigeneticsLaboratory-developed testLDTMale infertility

Identifiers

PMID30227883
PMCPMC6145208

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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.