Analysis of a genetic region affecting mouse body weight

• Published in: Physiological genomics 2023-03, Vol.55 (3), p.132-146
• Main Authors: Leung, Connie L K, Karunakaran, Subashini, Atser, Michael G, Innala, Leyla, Hu, Xiaoke, Viau, Victor, Johnson, James D, Clee, Susanne M
• Format: Article
• Language: English
• Subjects: Animals; Birth Weight; Body Weight - genetics; Glucose - metabolism; Humans; Mice; Mice, Inbred C57BL; Mice, Inbred Strains; Obesity - genetics; Obesity - metabolism
• ISSN: 1094-8341; 1531-2267
• DOI: 10.1152/physiolgenomics.00137.2022

Genetic factors affect an individual's risk of developing obesity, but in most cases each genetic variant has a small effect. Discovery of genes that regulate obesity may provide clues about its underlying biological processes and point to new ways the disease can be treated. Preclinical animal models facilitate genetic discovery in obesity because environmental factors can be better controlled compared with the human population. We studied inbred mouse strains to identify novel genes affecting obesity and glucose metabolism. BTBR T+ /J (BTBR) mice are fatter and more glucose intolerant than C57BL/6J (B6) mice. Prior genetic studies of these strains identified an obesity locus on chromosome 2. Using congenic mice, we found that obesity was affected by a ∼316 kb region, with only two known genes, pyruvate dehydrogenase kinase 1 ( ) and integrin α 6 ( ). Both genes had mutations affecting their amino acid sequence and reducing mRNA levels. Both genes have known functions that could modulate obesity, lipid metabolism, insulin secretion, and/or glucose homeostasis. We hypothesized that genetic variation in or near or causing reduced and expression would promote obesity and impaired glucose tolerance. We used knockout mice lacking or fed an obesigenic diet to test this hypothesis. Under the conditions we studied, we were unable to detect an individual contribution of either or to body weight. During our studies, with conditions outside our control, we were unable to reproduce some of our previous body weight data. However, we identified a previously unknown role for in cardiac cholesterol metabolism providing the basis for future investigations. The studies described in this paper highlight the importance and the challenge using physiological outcomes to study obesity genes in mice.