Literature DB >> 9326333

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

S J Hasstedt1, M Hoffman, M F Leppert, S C Elbein.   

Abstract

Segregation analysis of body-mass index (BMI) supported recessive inheritance of obesity, in pedigrees ascertained through siblings with non-insulin dependent diabetes mellitus (NIDDM). BMI was estimated as 39 kg/m2 for those subjects homozygous at the inferred locus. Two-locus segregation analysis provided weak support for a second recessive locus, with BMI estimated as 32 kg/m2 for homozygotes. NIDDM prevalence was increased among those subjects presumed to be homozygous at either locus. Using both parametric and nonparametric methods, we found no evidence of linkage of obesity to any of nine candidate genes/regions, including the Prader-Willi chromosomal region (PWS), the human homologue of the mouse agouti gene (ASP), and the genes for leptin (OB), the leptin receptor (OBR/DB), the beta3-adrenergic receptor (ADRB3), lipoprotein lipase (LPL), hepatic lipase (LIPC), glycogen synthase (GYS), and tumor necrosis factor alpha (TNFA).

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Year:  1997        PMID: 9326333      PMCID: PMC1715940          DOI: 10.1086/515509

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  77 in total

1.  Polymorphism of the glycogen synthase gene and non-insulin-dependent diabetes mellitus.

Authors:  T Kadowaki; H Kadowaki; Y Yazaki
Journal:  N Engl J Med       Date:  1993-05-27       Impact factor: 91.245

2.  Polymorphism of the glycogen synthase gene and non-insulin-dependent diabetes mellitus.

Authors:  H Zouali; G Velho; P Froguel
Journal:  N Engl J Med       Date:  1993-05-27       Impact factor: 91.245

3.  Variance components/major locus likelihood approximation for quantitative, polychotomous, and multivariate data.

Authors:  S J Hasstedt
Journal:  Genet Epidemiol       Date:  1993       Impact factor: 2.135

4.  Influence of genotype-dependent effects of covariates on the outcome of segregation analysis of the body mass index.

Authors:  I B Borecki; G E Bonney; T Rice; C Bouchard; D C Rao
Journal:  Am J Hum Genet       Date:  1993-09       Impact factor: 11.025

5.  A procedure for combining two-point lod scores into a summary multipoint map.

Authors:  D Curtis; H Gurling
Journal:  Hum Hered       Date:  1993 May-Jun       Impact factor: 0.444

Review 6.  The Prader-Willi syndrome.

Authors:  M D Donaldson; C E Chu; A Cooke; A Wilson; S A Greene; J B Stephenson
Journal:  Arch Dis Child       Date:  1994-01       Impact factor: 3.791

7.  Hepatic lipase deficiency. Clinical, biochemical, and molecular genetic characteristics.

Authors:  R A Hegele; J A Little; C Vezina; G F Maguire; L Tu; T S Wolever; D J Jenkins; P W Connelly
Journal:  Arterioscler Thromb       Date:  1993-05

Review 8.  Metabolic origin of insulin resistance in obesity with and without type 2 (non-insulin-dependent) diabetes mellitus.

Authors:  J P Felber; E Haesler; E Jéquier
Journal:  Diabetologia       Date:  1993-12       Impact factor: 10.122

9.  Two DNA polymorphisms in the lipoprotein lipase gene and their associations with factors related to cardiovascular disease.

Authors:  Y I Ahn; M I Kamboh; R F Hamman; S A Cole; R E Ferrell
Journal:  J Lipid Res       Date:  1993-03       Impact factor: 5.922

10.  Heterozygous lipoprotein lipase deficiency due to a missense mutation as the cause of impaired triglyceride tolerance with multiple lipoprotein abnormalities.

Authors:  G Miesenböck; B Hölzl; B Föger; E Brandstätter; B Paulweber; F Sandhofer; J R Patsch
Journal:  J Clin Invest       Date:  1993-02       Impact factor: 14.808

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  9 in total

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Authors:  Mary F Feitosa; Ingrid B Borecki; Stephen S Rich; Donna K Arnett; Phyliss Sholinsky; Richard H Myers; Mark Leppert; Michael A Province
Journal:  Am J Hum Genet       Date:  2001-11-16       Impact factor: 11.025

2.  A combined analysis of genomewide linkage scans for body mass index from the National Heart, Lung, and Blood Institute Family Blood Pressure Program.

Authors:  Xiaodong Wu; Richard S Cooper; Ingrid Borecki; Craig Hanis; Molly Bray; Cora E Lewis; Xiaofeng Zhu; Donghui Kan; Amy Luke; David Curb
Journal:  Am J Hum Genet       Date:  2002-03-28       Impact factor: 11.025

3.  A locus on mouse Chromosome 9 (Adip5) affects the relative weight of the gonadal but not retroperitoneal adipose depot.

Authors:  Amanda H McDaniel; Xia Li; Michael G Tordoff; Alexander A Bachmanov; Danielle R Reed
Journal:  Mamm Genome       Date:  2006-11-10       Impact factor: 2.957

4.  Genome scan for human obesity and linkage to markers in 20q13.

Authors:  J H Lee; D R Reed; W D Li; W Xu; E J Joo; R L Kilker; E Nanthakumar; M North; H Sakul; C Bell; R A Price
Journal:  Am J Hum Genet       Date:  1999-01       Impact factor: 11.025

5.  Meta-analysis of linkage data under worst-case conditions: a demonstration using the human OB region.

Authors:  D B Allison; M Heo
Journal:  Genetics       Date:  1998-02       Impact factor: 4.562

Review 6.  The polymorphisms of UCP1 genes associated with fat metabolism, obesity and diabetes.

Authors:  Jun-jing Jia; Yun-bo Tian; Zhen-hui Cao; Lin-li Tao; Xi Zhang; Si-zhen Gao; Chang-rong Ge; Qiu-Ye Lin; M Jois
Journal:  Mol Biol Rep       Date:  2009-05-15       Impact factor: 2.316

7.  Comparison between two analytic strategies to detect linkage to obesity with genetically determined age of onset: the Framingham Heart Study.

Authors:  Corinne D Engelman; Heather L Brady; Anna E Baron; Jill M Norris
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

8.  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

9.  Genetic association study of selected candidate genes (ApoB, LPL, Leptin) and telomere length in obese and hypertensive individuals.

Authors:  Birajalaxmi Das; Nilambari Pawar; Divyalakshmi Saini; M Seshadri
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  9 in total

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