Literature DB >> 8842605

The GENNID Study. A resource for mapping the genes that cause NIDDM.

L J Raffel1, D C Robbins, J M Norris, E Boerwinkle, R A DeFronzo, S C Elbein, W Fujimoto, C L Hanis, S E Kahn, M A Permutt, K C Chiu, J Cruz, D A Ehrmann, R P Robertson, J I Rotter, J Buse.   

Abstract

OBJECTIVE: To develop a resource, consisting of comprehensive data and lymphoblastoid cell lines, of well-characterized NIDDM families that will be available to the scientific community for genetic studies of NIDDM. RESEARCH DESIGN AND METHODS: Non-Hispanic white, Hispanic, African-American, and Japanese-American multiplex NIDDM families, with a minimum of one affected sib-pair, are being collected by the eight Harold Rifkin Family Acquisition Centers. Detailed family and medical histories are obtained from all participants. Family members with diabetes have fasting blood samples drawn, while nondiabetic family members have an oral glucose tolerance test and, when possible, insulin sensitivity and insulin secretion measurements by frequently sampled intravenous glucose tolerance testing or euglycemic insulin clamp. Lymphoblastoid cell lines are established for all participants.
RESULTS: Over 1,400 individuals from approximately 220 families have been studied since the start of the GENNID (Genetics of NIDDM) program in July 1993. The goal is that by July 1997, data from 300 non-Hispanic white families, > 100 Hispanic families, > 100 African-American families, and 15 Japanese-American families will have been collected.
CONCLUSIONS: The identification of the genes responsible for NIDDM may now be achievable, but only if sound phenotypic data are linked to genetic material from a large number of well-described multiplex families. The GENNID project of the American Diabetes Association is creating a comprehensive resource that will expedite the identification of the genetic basis of NIDDM.

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Year:  1996        PMID: 8842605     DOI: 10.2337/diacare.19.8.864

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  17 in total

Review 1.  Strategies and prospects for finding insulin resistance genes.

Authors:  M P Stern
Journal:  J Clin Invest       Date:  2000-08       Impact factor: 14.808

2.  Polymorphisms in fatty acid binding protein 5 show association with type 2 diabetes.

Authors:  Liming Bu; Lorena M Salto; Kevin J De Leon; Marino De Leon
Journal:  Diabetes Res Clin Pract       Date:  2011-02-01       Impact factor: 5.602

3.  Univariate and bivariate linkage analysis identifies pleiotropic loci underlying lipid levels and type 2 diabetes risk.

Authors:  Sandra J Hasstedt; Craig L Hanis; Steven C Elbein
Journal:  Ann Hum Genet       Date:  2010-07       Impact factor: 1.670

4.  Transethnic meta-analysis of metabolic syndrome in a multiethnic study.

Authors:  Emileigh L Willems; Jia Y Wan; Trina M Norden-Krichmar; Karen L Edwards; Stephanie A Santorico
Journal:  Genet Epidemiol       Date:  2019-10-24       Impact factor: 2.135

5.  Impact of differences in glucose tolerance on the prevalence of a negative insulinogenic index.

Authors:  Mirjam V Faulenbach; Lorena A Wright; Carlos Lorenzo; Kristina M Utzschneider; Julia H Goedecke; Wilfred Y Fujimoto; Edward J Boyko; Marguerite J McNeely; Donna L Leonetti; Steven M Haffner; Steven E Kahn
Journal:  J Diabetes Complications       Date:  2012-11-07       Impact factor: 2.852

6.  Genomewide search for type 2 diabetes susceptibility genes in four American populations.

Authors:  M G Ehm; M C Karnoub; H Sakul; K Gottschalk; D C Holt; J L Weber; D Vaske; D Briley; L Briley; J Kopf; P McMillen; Q Nguyen; M Reisman; E H Lai; G Joslyn; N S Shepherd; C Bell; M J Wagner; D K Burns
Journal:  Am J Hum Genet       Date:  2000-05-02       Impact factor: 11.025

7.  Transcription factor 7-like 2 polymorphisms and type 2 diabetes, glucose homeostasis traits and gene expression in US participants of European and African descent.

Authors:  S C Elbein; W S Chu; S K Das; A Yao-Borengasser; S J Hasstedt; H Wang; N Rasouli; P A Kern
Journal:  Diabetologia       Date:  2007-06-20       Impact factor: 10.122

8.  A novel class of tests for the detection of mitochondrial DNA-mutation involvement in diseases.

Authors:  Fengzhu Sun; Jing Cui; Haralambos Gavras; Faina Schwartz
Journal:  Am J Hum Genet       Date:  2003-04-30       Impact factor: 11.025

9.  Dynamic insulin sensitivity index: importance in diabetes.

Authors:  Gianluigi Pillonetto; Andrea Caumo; Claudio Cobelli
Journal:  Am J Physiol Endocrinol Metab       Date:  2009-11-17       Impact factor: 4.310

Review 10.  Late cardiovascular consequences of gestational diabetes mellitus.

Authors:  Rhonda Bentley-Lewis
Journal:  Semin Reprod Med       Date:  2009-06-15       Impact factor: 1.303

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