Abstract
The Berlin Fat Mouse Inbred line (BFMI) is a model for obesity and metabolic syndrome. The sublines BFMI861-S1 and BFMI861-S2 differ in weight despite high genetic similarity and a shared obesity-related locus. This study focused on identifying additional body weight quantitative trait loci (QTLs) by analyzing weekly weight measurements in a male population of the advanced intercross line BFMI861-S1 x BFMI861-S2. QTL analysis, utilizing 200 selectively genotyped mice (GigaMUGA) and 197 males genotyped for top SNPs, revealed a genome-wide significant QTL on Chr 15 (68.46 to 81.40 Mb) for body weight between weeks 9 to 20. Notably, this QTL disappeared (weeks 21 to 23) and reappeared (weeks 24 and 25) coinciding with a diet change. Additionally, a significant body weight QTL on Chr 16 (3.89 to 22.79 Mb) was identified from weeks 6 to 25. Candidate genes, including Gpt, Cbx6, Apol6, Apol8, Sun2 (Chr 15) and Trap1, Rrn3, Mapk1 (Chr 16), were prioritized. This study unveiled two additional body weight QTLs, one of which is novel and responsive to diet changes. These findings illuminate genomic regions influencing weight in BFMI and emphasize the utility of time series data in uncovering novel genetic factors.
| Original language | English |
|---|---|
| Article number | 6159 |
| Number of pages | 9 |
| Journal | Scientific Reports |
| Volume | 14 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 14 Mar 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Animals
- Genotype
- Male
- Metabolic Syndrome/genetics
- Mice
- Obesity/genetics
- Quantitative Trait Loci
- Time Factors
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Dive into the research topics of 'Identification of additional body weight QTLs in the Berlin Fat Mouse BFMI861 lines using time series data'. Together they form a unique fingerprint.Research output
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- 1 Preprint
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LMM-MQM time series mapping - An application in a murine advanced intercross line identifies novel growth QTLs
Arends, D., Hesse, D., Kärst, S., Heise, S., Lyu, S., Korkuc, P., Delpero, M., Mulligan, M. K., Prins, P. & Brockmann, G. A., 25 Jan 2022, (Submitted) Laurel Hollow, US: bioRxiv, 30 p.Research output: Working paper › Preprint
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