Genetic Epidemiology of Diabetes and Obesity

在目前的项目中，正在利用遗传连锁和关联分析技术寻找2型糖尿病和肥胖的遗传决定因素。淋巴母细胞系已经从信息性系谱中建立起来。从流行病学研究中获得的血液标本中提取的核粒中可获得其他科的DNA，并在需要时通过全基因组扩增进行扩增。全基因组图谱研究，最初使用连锁方法，最近使用关联方法，被用来确定其他美洲印第安人中含有易患糖尿病和肥胖的变异的区域。正在对这些方法确定的区域和其他候选基因进行详尽的关联分析，试图帮助确定致病变异。全基因组测序研究和表观遗传因素（如DNA甲基化）的分析也在进行中。

In the current project, genetic determinants of type 2 diabetes mellitus and obesity are being sought using techniques of genetic linkage and association analysis. Lymphoblast cell lines have been established from informative pedigrees. DNA is available from other families in nuclear pellets extracted from blood specimens obtained in the epidemiologic studies and is amplified by whole genome amplification when needed. Genome-wide mapping studies, initially using linkage methods and more recently using association methods, are being used to identify regions containing variants conferring susceptibility to diabetes and obesity in other American Indian populations. Exhaustive association analyses are being conducted of regions identified by these approaches and of other candidate genes in an attempt to help identify causative variants. Whole genome sequencing studies are also being pursued, as are analyses of epigenetic factors (e.g. DNA methylation). Several candidate genes that have been associated with type 2 diabetes in other populations have been evaluated for association in American Indians. In general most "established" variants associated with type 2 diabetes and obesity in other populations are also associated in American Indians, albeit with small effects which are often not individually statistically significant. Some variants identified in other populations (e.g. TCF7L2) appear to have little effect. Variants in established type 2 diabetes genes, MOB2, KLF14 and KCNQ1, are subject to parent-of-origin effects and these parent-of-origin effects replicate in American Indians. The effect of the KCNQ1 variants is particularly strong; with consideration of the parent-of-origin effect these variants account for 4% of liability in susceptibility to diabetes. Genome-wide association studies have also been conducted- initially using standard commercial genotyping arrays and selected samples, and, more recently, in larger population samples (N=11,000) using Amerindian-specific arrays developed from whole genome sequence data in 296 American Indians, as have exome sequencing studies in 8,000 individuals. These studies have identified several additional potential susceptibility genes for diabetes and for obesity. Recent studies have shown that variants in IGFBP4 and CYB5A, which are more common in American Indians than in other global populations, are nominally associated with obesity in American Indians. Additional analyses have shown the relationship between insulin sensitivity and insulin secretion is not necessarily hyperbolic, as is often assumed in calculating the disposition index and that measures of insulin sensitivity and insulin secretion provide additional information for predicting diabetes incidence, beyond that provided by the disposition index. It was also shown that obesity which develops early in life, before age 5 years, is associated with adverse metabolic consequences in later childhood and adolescence. Currently fine-mapping studies with additional variants are being conducted to extract more of the genetic information in regions identified as potentially involved in diabetes susceptibility. Through collaborations, studies are being conducted to determine if any of the signals identified in the present mapping studies replicate in other populations. Variants reproducibly associated with type 2 diabetes and obesity from other populations continue to be typed to determine their role susceptibility to diabetes and obesity in American Indians. Whole genome sequencing is also being conducted in a small number of participants. Population-based linkage approaches are also being explored as a complementary mapping strategy. Additional American Indian participants are being recruited for replication studies.