| Title: | Concurrent outcomes from multiple approaches of epistasis analysis for human body mass index associated loci provide insights into obesity biology |
| Journal: | Scientific Reports |
| Published: | 4 May 2022 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/35508500/ |
| DOI: | https://doi.org/10.1038/s41598-022-11270-0 |
| URL: | https://www.nature.com/articles/s41598-022-11270-0.pdf |
| Citations: | 6 (4 in last 2 years) as of 8 Aug 2024 |
Publication 10233
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Abstract
Genome wide association studies (GWAS) have focused on elucidating the genetic architecture of complex traits by assessing single variant effects in additive genetic models, albeit explaining a fraction of the trait heritability. Epistasis has recently emerged as one of the intrinsic mechanisms that could explain part of this missing heritability. We conducted epistasis analysis for genome-wide body mass index (BMI) associated SNPs in Alzheimer's Disease Neuroimaging Initiative (ADNI) and followed up top significant interacting SNPs for replication in the UK Biobank imputed genotype dataset. We report two pairwise epistatic interactions, between rs2177596 (RHBDD1) and rs17759796 (MAPK1), rs1121980 (FTO) and rs6567160 (MC4R), obtained from a consensus of nine different epistatic approaches. Gene interaction maps and tissue expression profiles constructed for these interacting loci highlights co-expression, co-localisation, physical interaction, genetic interaction, and shared pathways emphasising the neuronal influence in obesity and implicating concerted expression of associated genes in liver, pancreas, and adipose tissues insinuating to metabolic abnormalities characterized by obesity. Detecting epistasis could thus be a promising approach to understand the effect of simultaneously interacting multiple genetic loci in disease aetiology, beyond single locus effects.</p>
3 Authors
- Sheldon D'Silva
- Shreya Chakraborty
- Bratati Kahali
Enabling scientific discoveries that improve human health