FAMILY STUDIES OF NON-INSULIN-DEPENDENT DIABETES-MELLITUS IN SOUTH INDIANS

Citation
Mi. Mccarthy et al., FAMILY STUDIES OF NON-INSULIN-DEPENDENT DIABETES-MELLITUS IN SOUTH INDIANS, Diabetologia, 37(12), 1994, pp. 1221-1230
Citations number
64
Categorie Soggetti
Endocrynology & Metabolism","Medicine, General & Internal
Journal title
ISSN journal
0012186X
Volume
37
Issue
12
Year of publication
1994
Pages
1221 - 1230
Database
ISI
SICI code
0012-186X(1994)37:12<1221:FSONDI>2.0.ZU;2-L
Abstract
Though a genetic basis for non-insulin-dependent diabetes mellitus (NI DDM) is clear, the likely mode of inheritance is not known. The segreg ation of NIDDM was studied in 64 nuclear South Indian pedigrees (449 i ndividuals) ascertained through an affected proband having both parent s and more than 1 sibling alive and available for oral glucose toleran ce testing. A high proportion of parents were found to be of abnormal glucose tolerance [89 of 128 (70 %) diabetic and 11 of 128 (9 %) impai red]. Complex segregation analysis was performed using (1) POINTER whi ch implements the mixed model and distinguishes major gene, multifacto rial and nontransmitted environmental contributions to affection and ( 2) COMDS which implements an oligogenic model with major gene, modifie r gene and environmental contributions to a) affection and b) diathesi s (an ordered polychotomy amongst non-affected family members, based o n 2-h plasma glucose level). Using POINTER, there was no formal suppor t for a major gene and the most parsimonious solutions were achieved w ith multifactorial models Using COMDS, we found i) significant improve ments in models when information on glucose levels in nondiabetic fami ly members (diathesis) was included, ii) support for segregation of a diallelic gene as well as background familial resemblance, and iii) un der the best-supported model, this diallelic locus featured incomplete dominance (d = 0.8) and a disease-predisposing allele frequency of 14 %. In South Indians, segregation of NIDDM is inadequately described b y simple major gene models: more complex models provide more satisfact ory descriptions. This finding, if applicable in other populations, ha s important implications for the search for diabetes-susceptibility ge nes.