ART and mQTLs

Can assisted reproductive technologies (ART) impact the association between DNA methylation and genotypes?




Julia Romanowska

2026-05-22

Photo by Zoltan Tasi on Unsplash

OUTLINE

Background

DNAm and mQTLs

DNAm reprogramming and ART


methods


some results


discussion

DNA methylation (DNAm)




  • CpG - most popular methylation site

  • non-uniformly distributed

  • ‘marker’ for gene activation

DNAm reprogramming

wave of demethylation followed by rapid re-methylation

  • paternal DNA is demethylated faster than maternal

  • at blastocyst stage (days 5–9), DNAm level is lowest (ca.20% of all CpGs)

  • freezing of eggs could influence de-methylation and differentiation

[src: Albert and Greenberg, Development (2023); Greenberg, Front.Cell Develop.Biol. (2021)]

DNAm reprogramming & ART

ART = assisted reproductive technology

DNAm reprogramming & ART

ART = assisted reproductive technology

src: Guo, H., et al. (2014). Nature, 511(7511), 606–610.

mQTL

methylation quantitative locus

SNP–CpG pair:

association between
methylation status of that CpG and
allele at that SNP


  • cis-mQTLs and trans-mQTLs

mQTL

methylation quantitative locus

SNP–CpG pair:

association between
methylation status of that CpG and
allele at that SNP


  • cis-mQTLs and trans-mQTLs

Aim of the study

do ART procedures influence re-methylation processes?

(using mQTLs as tool)

mQTL: No

ART-effect: No

mQTL: No

ART-effect: No

mQTL: No

ART-effect: Yes

mQTL: Yes

ART-effect: No

mQTL: Yes

ART-effect: Yes (after fertilization?)

mQTL: Yes

ART-effect: Yes

PoO ART-effect: Yes (maternal line?)

mQTL: Yes

ART-effect: Yes

PoO ART-effect: Yes (paternal line?)

methods

data

  • genetic data - MoBa

  • DNAm data - START

methods

tools

  • PLINK

  • R

  • JuliaLang

  • snakemake

methods

  1. prepare SNP-CpG list:

    1. SNP–CpG distance of max.100 kbp
    2. SNP–CpG distance of min. 50 bp
    3. min.10 persons with DD of minor allele
    4. DNAm range > 0.1
  2. agnostic search for mQTLs in parents

  3. select the significant mQTLs (FDR < 0.1)

  4. remove outliers

  5. check for association in children

methods – models

  1. check for association in children
  • quantile regression[*]

  • using three models:

    • DNAm \(\sim\) SNP \(+\) case_control_status
    • DNAm \(\sim\) SNP \(\times\) case_control_status
    • DNAm \(\sim\) SNP, stratified by case_control_status

Results

mQTLs in parents

How many tests and cis-mQTL pairs?

Timing of runs

How many cis-mQTL pairs?

  • significance: FDR \(< 0.1\) per chromosome

Results

mQTLs in children

How many cis-mQTL pairs?

model: additive

Volcano plot for additive model, using DNAm data from children.

model: interaction

Volcano plot for interaction model, using DNAm data from children.

model: stratified

‘ART’ group

‘non-ART’ group

Stratification model

Stratification model

“Interesting” findings

CpG nrow
InlineStrings.String15 Int64
cg17612569 41
cg20741235 32
cg21139150 17
cg22706458 1

each SNP appear only in one mQTL

Example – genomic location

Example

Example