Literature DB >> 3366463

Family resemblance for serum uric acid in a Jerusalem sample of families.

Y Friedlander1, J D Kark, Y Stein.   

Abstract

Familial aggregation of serum uric acid was studied in a sample of families examined in the Jerusalem Lipid Research Clinic. We first examined homogeneity of familial correlations across the major origin groups in the Israeli population sample. In general correlations were homogeneous across origin groups, except for spouse pairs. Pooled correlations among biological relatives across the origin groups were all statistically significant. Spouse correlation upon adjustment for concomitant variables was moderately positive (r = 0.115), yet significantly different from zero. Genetic and cultural determinants of uric acid were estimated utilizing a path model with 10 parameters to be estimated from a total of 16 correlations. Under a reduced model, genetic heritability (h2) was estimated to be 0.47 +/- 0.05 and cultural heritability (c2) was 0.11 +/- 0.03. However, our data gave suggestive evidence that cultural heritability was higher in parents (c2 = 0.28) than in children (c2 = 0.10). Commingling analysis and segregation analysis were also performed, and our findings imply that in the Israeli population there is no evidence for a major gene for high uric acid levels segregating in families.

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Year:  1988        PMID: 3366463     DOI: 10.1007/bf00291711

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  28 in total

1.  BLOOD URIC ACID LEVELS IN VARIOUS ETHNIC GROUPS IN ISRAEL.

Authors:  F DREYFUSS; E YARON; M BALOGH
Journal:  Am J Med Sci       Date:  1964-04       Impact factor: 2.378

2.  Heredity in gout and hyperuricemia.

Authors:  M HAUGE; B HARVALD
Journal:  Acta Med Scand       Date:  1955-11-10

3.  The heredity of gout and its relationship to familial hyperuricemia.

Authors:  R M STECHER; A H HERSH; W M SOLOMON
Journal:  Ann Intern Med       Date:  1949-10       Impact factor: 25.391

4.  Skewness in commingled distributions.

Authors:  C J Maclean; N E Morton; R C Elston; S Yee
Journal:  Biometrics       Date:  1976-09       Impact factor: 2.571

5.  Family resemblance for fasting blood glucose: the Jerusalem Lipid Research Clinic.

Authors:  Y Friedlander; J D Kark; H Bar-On
Journal:  Clin Genet       Date:  1987-10       Impact factor: 4.438

6.  A general model for the genetic analysis of pedigree data.

Authors:  R C Elston; J Stewart
Journal:  Hum Hered       Date:  1971       Impact factor: 0.444

7.  Correlates of biochemical variables in the Jerusalem Lipid Research Clinic population.

Authors:  P E Slater; J D Kark; Y Friedlander; N A Kaufmann; M Fainaru; S Eisenberg
Journal:  Isr J Med Sci       Date:  1982-12

8.  The Jerusalem Lipid Research Clinic: sampling, response and selected methodological issues.

Authors:  P E Slater; Y Friedlander; M Baras; S Harlap; S T Halfon; N A Kaufmann; S Eisenberg; A M Davies; Y Stein
Journal:  Isr J Med Sci       Date:  1982-11

9.  Genetic analysis of the Stanford LRC family study data. I. Structured exploratory data analysis of height and weight measurements.

Authors:  S Karlin; P T Williams; S Jensen; J W Farquhar
Journal:  Am J Epidemiol       Date:  1981-03       Impact factor: 4.897

10.  The Cincinnati Lipid Research Clinic family study: cultural and biological determinants of lipids and lipoprotein concentrations.

Authors:  D C Rao; P M Laskarzewski; J A Morrison; P Khoury; K Kelly; R Wette; J Russell; C J Glueck
Journal:  Am J Hum Genet       Date:  1982-11       Impact factor: 11.025

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  7 in total

1.  Genetic influence on variation in serum uric acid in American Indians: the strong heart family study.

Authors:  V Saroja Voruganti; Harald H H Göring; Amy Mottl; Nora Franceschini; Karin Haack; Sandra Laston; Laura Almasy; Richard R Fabsitz; Elisa T Lee; Lyle G Best; Richard B Devereux; Barbara V Howard; Jean W MacCluer; Anthony G Comuzzie; Jason G Umans; Shelley A Cole
Journal:  Hum Genet       Date:  2009-07-10       Impact factor: 4.132

2.  Commingling and segregation analysis of serum uric acid in five North American populations: the Lipid Research Clinics family study.

Authors:  T Rice; P M Laskarzewski; T S Perry; D C Rao
Journal:  Hum Genet       Date:  1992 Sep-Oct       Impact factor: 4.132

3.  Replication of the effect of SLC2A9 genetic variation on serum uric acid levels in American Indians.

Authors:  V Saroja Voruganti; Nora Franceschini; Karin Haack; Sandra Laston; Jean W MacCluer; Jason G Umans; Anthony G Comuzzie; Kari E North; Shelley A Cole
Journal:  Eur J Hum Genet       Date:  2013-12-04       Impact factor: 4.246

4.  Genetic variants in LPL, OASL and TOMM40/APOE-C1-C2-C4 genes are associated with multiple cardiovascular-related traits.

Authors:  Rita P S Middelberg; Manuel A R Ferreira; Anjali K Henders; Andrew C Heath; Pamela A F Madden; Grant W Montgomery; Nicholas G Martin; John B Whitfield
Journal:  BMC Med Genet       Date:  2011-09-24       Impact factor: 2.103

5.  Quantile-Dependent Expressivity of Serum Uric Acid Concentrations.

Authors:  Paul T Williams
Journal:  Int J Genomics       Date:  2021-09-02       Impact factor: 2.326

6.  Genome-wide association analysis confirms and extends the association of SLC2A9 with serum uric acid levels to Mexican Americans.

Authors:  Venkata Saroja Voruganti; Jack W Kent; Subrata Debnath; Shelley A Cole; Karin Haack; Harald H H Göring; Melanie A Carless; Joanne E Curran; Matthew P Johnson; Laura Almasy; Thomas D Dyer; Jean W Maccluer; Eric K Moses; Hanna E Abboud; Michael C Mahaney; John Blangero; Anthony G Comuzzie
Journal:  Front Genet       Date:  2013-12-16       Impact factor: 4.599

7.  Evaluation of the diet wide contribution to serum urate levels: meta-analysis of population based cohorts.

Authors:  Tanya J Major; Ruth K Topless; Nicola Dalbeth; Tony R Merriman
Journal:  BMJ       Date:  2018-10-10
  7 in total

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