A candidate gene analysis and GWAS for genes associated with maternal nondisjunction of chromosome 21.
Jonathan M ChernusEmily G AllenZhen ZengEva R HoffmanTerry J HassoldEleanor FeingoldStephanie L ShermanPublished in: PLoS genetics (2019)
Human nondisjunction errors in oocytes are the leading cause of pregnancy loss, and for pregnancies that continue to term, the leading cause of intellectual disabilities and birth defects. For the first time, we have conducted a candidate gene and genome-wide association study to identify genes associated with maternal nondisjunction of chromosome 21 as a first step to understand predisposing factors. A total of 2,186 study participants were genotyped on the HumanOmniExpressExome-8v1-2 array. These participants included 749 live birth offspring with standard trisomy 21 and 1,437 parents. Genotypes from the parents and child were then used to identify mothers with nondisjunction errors derived in the oocyte and to establish the type of error (meiosis I or meiosis II). We performed a unique set of subgroup comparisons designed to leverage our previous work suggesting that the etiologies of meiosis I and meiosis II nondisjunction differ for trisomy 21. For the candidate gene analysis, we selected genes associated with chromosome dynamics early in meiosis and genes associated with human global recombination counts. Several candidate genes showed strong associations with maternal nondisjunction of chromosome 21, demonstrating that genetic variants associated with normal variation in meiotic processes can be risk factors for nondisjunction. The genome-wide analysis also suggested several new potentially associated loci, although follow-up studies using independent samples are required.
Keyphrases
- copy number
- pregnancy outcomes
- genome wide association study
- gestational age
- genome wide analysis
- birth weight
- genome wide
- endothelial cells
- pregnant women
- dna methylation
- mental health
- emergency department
- dna damage
- type diabetes
- patient safety
- clinical trial
- randomized controlled trial
- insulin resistance
- high fat diet
- metabolic syndrome
- high throughput
- dna repair
- high resolution
- adipose tissue
- oxidative stress
- pluripotent stem cells
- high density
- single cell
- data analysis