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. 2019 Oct 29;14(10):e0222654.
doi: 10.1371/journal.pone.0222654. eCollection 2019.

'Fat's chances': Loci for phenotypic dispersion in plasma leptin in mouse models of diabetes mellitus

Affiliations

'Fat's chances': Loci for phenotypic dispersion in plasma leptin in mouse models of diabetes mellitus

Guy M L Perry. PLoS One. .

Abstract

Background: Leptin, a critical mediator of feeding, metabolism and diabetes, is expressed on an incidental basis according to satiety. The genetic regulation of leptin should similarly be episodic.

Methodology: Data from three mouse cohorts hosted by the Jackson Laboratory- 402 (174F, 228M) F2 Dilute Brown non-Agouti (DBA/2)×DU6i intercrosses, 142 Non Obese Diabetic (NOD/ShiLtJ×(NOD/ShiLtJ×129S1/SvImJ.H2g7) N2 backcross females, and 204 male Nonobese Nondiabetic (NON)×New Zealand Obese (NZO/HlLtJ) reciprocal backcrosses-were used to test for loci associated with absolute residuals in plasma leptin and arcsin-transformed percent fat ('phenotypic dispersion'; PDpLep and PDAFP). Individual data from 1,780 mice from 43 inbred strains was also used to estimate genetic variances and covariances for dispersion in each trait.

Principal findings: Several loci for PDpLep were detected, including possibly syntenic Chr 17 loci, but there was only a single position on Chr 6 for PDAFP. Coding SNP in genes linked to the consensus Chr 17 PDpLep locus occurred in immunological and cancer genes, genes linked to diabetes and energy regulation, post-transcriptional processors and vomeronasal variants. There was evidence of intersexual differences in the genetic architecture of PDpLep. PDpLep had moderate heritability [Formula: see text] and PDAFP low heritability [Formula: see text]; dispersion in these traits was highly genetically correlated r = 0.8).

Conclusions: Greater genetic variance for dispersion in plasma leptin, a physiological trait, may reflect its more ephemeral nature compared to body fat, an accrued progressive character. Genetic effects on incidental phenotypes such as leptin might be effectively characterized with randomization-detection methodologies in addition to classical approaches, helping identify incipient or borderline cases or providing new therapeutic targets.

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Conflict of interest statement

There are no competing interests of any kind associated with this work.

Figures

Fig 1
Fig 1. Association mapping of phenotypic dispersion (absolute Studentized residuals from genetic model; ‘PD’) in plasma leptin (PDpLep) on murine chromosomes 1–19 Jackson Laboratory in 402 (228M, 174F) F2 Dilute Brown non-Agouti (DBA/2)×DU6i intercrosses (Brockman et al.), 144 Non Obese Diabetic (NOD/ShiLtJ×(NOD/ShiLtJ×129S1/SvImJ.H2g7) N2 backcross females (Leiter et al.), 204 male Nonobese Nondiabetic (NON)×New Zealand Obese (NZO/HlLtJ) reciprocal backcrosses (Reifsnyder et al.) house mice (Mus musculus).
Fig 2
Fig 2. Mean phenotypic dispersion in plasma leptin (PDpLep) from Tobit limited model analysis in a cohort of 233 F2 DBA/2× DU6i house mice (Mus musculus) (Brockmann et al.) by marker.
The significance of differences among mean PDpLep by genotype (P < 0.05*, < 0.01**, < 0.001***) was determined using general linear contrast statements.
Fig 3
Fig 3. Strain-by-sex means for phenotypic dispersion in a) plasma leptin (PDpLep) and arcin-transformed percent body fat (PDAPF) in all (solid circles), female (empty circles) and all (solid downwarn-facing triangles) from 43 mouse strains (n = 1,780; ni = 4–26 per strain and sex) [31] using mixed models [25].

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