A gene is considered a candidate gene for obesity or type 2 diabetes in Pima Indians if 1) it has a known physiological function in a pathway relevant to type 2 diabetes/obesity or 2) it is associated with diabetes/obesity in another human population or in an animal model. In the past year we have directly sequenced and genotyped all detected variants in more than 50 physiologic candidate genes for associations with BMI or diabetes. Genotyping was performed in two large population based samples of individuals collected from the Gila River Indian Community. One of the investigated genes was KCNQ1. This gene was initially identified as a type 2 diabetes gene in a Chinese population, but it also appears to have a significant role in determining type 2 diabetes, obesity, and early insulin secretion response in Pima Indians. Variants in this gene exhibit parent of origin effects, such that the variants have different effects on disease risk if they were inherited maternally or paternally. Rare variants in genes along the Leptin/Melanocortin pathway cause severe monogenic obesity in childhood;therfore, genes along this pathway were also sequenced as candidate genes for obesity in Pima Indians.Sequenced genes include LEP, LEPR, POMC, MC4R,Sim1 and BDNF. Common variation in LEPR was identified that was reproducibly associated with modest changes in BMI, and the risk allele for overweight was associated with a decrease in energy expenditure measured over 24 hours in a human respiratory chamber. This is the first report of variation in LEPR effecting energy expenditure in humans. Many years ago we first sequenced MC4R in a small number of case/control samples for obesity and identified some missense variants. With the recent advances in sequencing technology, we have now been able to determine the frequency of functional mutations in MC4R in a population-based sample of American Indians who reside on the Gila River Indian Community, and analyze their effects on growth during childhood and adulthood.Sequencing of MC4R in 6760 Pima Indians identified 1 nonsense and 9 missense variants, of which 3 may be private to Pima Indians. We performed in vitro functional studies on each of these variants and found that 6 of the 10 caused decreased MC4R function. These 6 functional mutations occurred in 159 individuals (2.4% of the population). We found a greater rate of body mass accumulation and risk of type 2 diabetes before the age of 20 years in individuals with MC4R deficiency, but did not observe a difference in adulthood, indicating that the effects of these mutations are more apparent during the active growth of childhood.

Project Start
Project End
Budget Start
Budget End
Support Year
17
Fiscal Year
2013
Total Cost
$1,222,486
Indirect Cost
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Muller, Yunhua L; Skelton, Graham; Piaggi, Paolo et al. (2018) Identification and functional analysis of a novel G310D variant in the insulin-like growth factor 1 receptor (IGF1R) gene associated with type 2 diabetes in American Indians. Diabetes Metab Res Rev 34:e2994
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Shen, Jie; Guo, Tingwei; Wang, Tao et al. (2018) HLA-B*07, HLA-DRB1*07, HLA-DRB1*12, and HLA-C*03:02 Strongly Associate With BMI: Data From 1.3 Million Healthy Chinese Adults. Diabetes 67:861-871
Piaggi, Paolo; Masindova, Ivica; Muller, Yunhua L et al. (2017) A Genome-Wide Association Study Using a Custom Genotyping Array Identifies Variants in GPR158 Associated With Reduced Energy Expenditure in American Indians. Diabetes 66:2284-2295
Brown, Lisa A; Sofer, Tamar; Stilp, Adrienne M et al. (2017) Admixture Mapping Identifies an Amerindian Ancestry Locus Associated with Albuminuria in Hispanics in the United States. J Am Soc Nephrol 28:2211-2220
Sofer, Tamar; Baier, Leslie J; Browning, Sharon R et al. (2017) Admixture mapping in the Hispanic Community Health Study/Study of Latinos reveals regions of genetic associations with blood pressure traits. PLoS One 12:e0188400
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Muller, Yunhua L; Piaggi, Paolo; Chen, Peng et al. (2017) Assessing variation across 8 established East Asian loci for type 2 diabetes mellitus in American Indians: Suggestive evidence for new sex-specific diabetes signals in GLIS3 and ZFAND3. Diabetes Metab Res Rev 33:

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