1999 Fiscal Year Final Research Report Summary
Identification of susceptibility gene of diabetes mellitus y QTL analysis in the genetic modified mice.
| Project/Area Number |
09470224
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (B)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
内分泌・代謝学
|
|---|
| Research Institution | The University of Tokushima |
|---|
Principal Investigator |
ITAKURA Mitsuo Inst. For Genome Research, Univ. Tokushima professor, ゲノム機能研究センター, 教授 (60134227)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
IKEGAMI Hiroshi Sch. Med., Univ. Osaka research associate, 医学部, 助手 (20221062)
MORITANI Maki Sch. Med., Univ. Tokushima research associate, 医学部, 助手 (50301312)
YAMAOKA Takeshi Sch. Med., Univ. Tokushima research associate, 医学部, 助手 (40263826)
|
|---|
| Project Period (FY) |
1997 – 1999
|
| Keywords | db mice / NOD-RGP-IL-10 Tg / type I diabetes / QTL analysis / type II diabetes / animal model for diabetes / common disease / susceptibility gene / 糖尿病の修飾遺伝子 |
|---|
| Research Abstract |
Type I and II diabetes is a common disease and a major public health problem. To identify the susceptibility gene to diabetes we performed genome-wide quantitative trait loci (QTL) analysis, using db mice in C57BL6/ksj background or NOD-RGP-IL-10 Tg in NOD background. db mouse is an animal model of type II diabetes in human exhibiting hyperglycemia, hyperinsulinemia, insulin resistance, and obesity. F2 intercross between db mice and non-diabetic C3H strain demonstrated a wide variety of diabetes related, including body weight, plasma glucose concentration, plasma insulin concentration, and glucose tolerance. We have identified several QTLs associated with body weight and glucose tolerance. NOD-RGP-IL-10 Tg enhance autoimmune diabetes, but none of the resulting F1 mice outbred to C57BL/6 mice show diabetes. N2 backcross between NOD-RGP-IL-10 Tg and C57BL/6 mice demonstrated 15% incidence of diabetes. Similar to db mice, we are performing genome-wide quantitative trait loci (QTL) analysis for N2 generation.
|
