Literature DB >> 8194846

Obesity in Pima Indians: genetic segregation analyses of body mass index complicated by temporal increases in obesity.

R A Price1, M A Charles, D J Pettitt, W C Knowler.   

Abstract

During the past half-century the prevalence of obesity in developed countries has increased greatly. Such short-term changes in prevalence must be environmentally determined, but genes can mediate response to environmental change, for example, through variable gene penetrance and expression. Obesity differences between bith cohorts complicate the interpretation of phenotypic comparisons between generations that span periods of change. Genetic segregation analyses of the body mass index in 618 Pima Indian nuclear families (2 generations) identified recessive major gene inheritance, which is the same pattern of transmission that has been found in several other populations. However, within-birth-cohort analyses of siblings (one generation) uniformly supported codominant major gene inheritance with no polygenic heritability. For untransformed data transmission probabilities were Mendelian in the later-born cohort and in the combined sample of siblings. After transformation to remove skewness, transmission probabilities were Mendelian only in the earlier-born cohort (i.e., those siblings born before a period of marked temporal increase following World War II). A higher penetrance of codominant obesity susceptibility genes in the younger generation would result in some genetically obese individuals who have no affected parents, thus simulating recessive inheritance. Taken together, the results of these analyses suggest that the recessive pattern we identified in the Pima Indian nuclear families could be accounted for by temporal changes in penetrance of codominant obesity-predisposing genes. By implication, more modest temporal increases in white and black populations could in part account for the recessive pattern of inheritance described by several investigators.

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Year:  1994        PMID: 8194846

Source DB:  PubMed          Journal:  Hum Biol        ISSN: 0018-7143            Impact factor:   0.553


  6 in total

1.  Recessive inheritance of obesity in familial non-insulin-dependent diabetes mellitus, and lack of linkage to nine candidate genes.

Authors:  S J Hasstedt; M Hoffman; M F Leppert; S C Elbein
Journal:  Am J Hum Genet       Date:  1997-09       Impact factor: 11.025

2.  Individual estimates of European genetic admixture associated with lower body-mass index, plasma glucose, and prevalence of type 2 diabetes in Pima Indians.

Authors:  R C Williams; J C Long; R L Hanson; M L Sievers; W C Knowler
Journal:  Am J Hum Genet       Date:  2000-02       Impact factor: 11.025

3.  Autosomal genomic scan for loci linked to obesity and energy metabolism in Pima Indians.

Authors:  R A Norman; P A Tataranni; R Pratley; D B Thompson; R L Hanson; M Prochazka; L Baier; M G Ehm; H Sakul; T Foroud; W T Garvey; D Burns; W C Knowler; P H Bennett; C Bogardus; E Ravussin
Journal:  Am J Hum Genet       Date:  1998-03       Impact factor: 11.025

4.  Segregation analysis of non-insulin-dependent diabetes mellitus in Pima Indians: evidence for a major-gene effect.

Authors:  R L Hanson; R C Elston; D J Pettitt; P H Bennett; W C Knowler
Journal:  Am J Hum Genet       Date:  1995-07       Impact factor: 11.025

5.  An autosomal genomic scan for loci linked to type II diabetes mellitus and body-mass index in Pima Indians.

Authors:  R L Hanson; M G Ehm; D J Pettitt; M Prochazka; D B Thompson; D Timberlake; T Foroud; S Kobes; L Baier; D K Burns; L Almasy; J Blangero; W T Garvey; P H Bennett; W C Knowler
Journal:  Am J Hum Genet       Date:  1998-10       Impact factor: 11.025

6.  Segregation of a latent high adiposity phenotype in families with a history of type 2 diabetes mellitus implicates rare obesity-susceptibility genetic variants with large effects in diabetes-related obesity.

Authors:  Arthur B Jenkins; Marijka Batterham; Dorit Samocha-Bonet; Katherine Tonks; Jerry R Greenfield; Lesley V Campbell
Journal:  PLoS One       Date:  2013-08-07       Impact factor: 3.240

  6 in total

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