Literature DB >> 19369405

Linkage analysis of albuminuria.

Amy K Mottl1, Suma Vupputuri, Shelley A Cole, Laura Almasy, Harald H H Göring, Vincent P Diego, Sandra Laston, Nawar Shara, Elisa T Lee, Lyle G Best, Richard R Fabsitz, Jean W MacCluer, Jason G Umans, Kari E North.   

Abstract

American Indians have a higher prevalence of albuminuria than the general population, likely resulting from a combination of environmental and genetic risk factors. To localize gene regions influencing variation in urinary albumin-to-creatinine ratio, we performed a linkage analysis and explored gene-by-diabetes, -hypertension, and -obesity interactions in a large cohort of American Indian families. We recruited >3600 individuals from 13 American Indian tribes from three centers (Arizona, North and South Dakota, and Oklahoma). We performed multipoint variance component linkage analysis in each center as well as in the entire cohort after controlling for center effects. We used two modeling strategies: Model 1 incorporated age, gender, and interaction terms; model 2 also controlled for diabetes, BP, body mass index, HDL, LDL, triglycerides, and smoking status. We evaluated interactions with diabetes, hypertension, and obesity using additive, interaction-specific linkage and stratified analyses. Loci suggestive for linkage to urinary albumin-to-creatinine ratio included 1q, 6p, 9q, 18q, and 20p. Gene-by-diabetes interaction was present with a quantitative trait locus specific to the diabetic stratum in the Dakotas isolated on 18q21.2 to 21.3 using model 1 (logarithm of odds = 3.3). Gene-by-hypertension interaction was present with quantitative trait loci specific to the hypertensive stratum in the Dakotas on 7q21.11 using model 1 (logarithm of odds = 3.4) and 10q25.1 using model 2 (logarithm of odds = 3.3). These loci replicate findings from multiple other genome scans of kidney disease phenotypes with distinct populations and are worthy of further study.

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Year:  2009        PMID: 19369405      PMCID: PMC2709673          DOI: 10.1681/ASN.2008080895

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  66 in total

1.  The Strong Heart Study. A study of cardiovascular disease in American Indians: design and methods.

Authors:  E T Lee; T K Welty; R Fabsitz; L D Cowan; N A Le; A J Oopik; A J Cucchiara; P J Savage; B V Howard
Journal:  Am J Epidemiol       Date:  1990-12       Impact factor: 4.897

2.  Markov chain Monte Carlo segregation and linkage analysis for oligogenic models.

Authors:  S C Heath
Journal:  Am J Hum Genet       Date:  1997-09       Impact factor: 11.025

3.  Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus.

Authors: 
Journal:  Diabetes Care       Date:  1997-07       Impact factor: 19.112

4.  Association study of the genetic polymorphisms of the transcription factor 7-like 2 (TCF7L2) gene and type 2 diabetes in the Chinese population.

Authors:  Yi-Cheng Chang; Tien-Jyun Chang; Yi-Der Jiang; Shan-Shan Kuo; Kuan-Ching Lee; Ken C Chiu; Lee-Ming Chuang
Journal:  Diabetes       Date:  2007-06-19       Impact factor: 9.461

5.  Single-void urine samples can be used to estimate quantitative microalbuminuria.

Authors:  D M Nathan; C Rosenbaum; V D Protasowicki
Journal:  Diabetes Care       Date:  1987 Jul-Aug       Impact factor: 19.112

6.  Regional differences in albuminuria among American Indians: an epidemic of renal disease.

Authors:  D C Robbins; W C Knowler; E T Lee; J Yeh; O T Go; T Welty; R Fabsitz; B V Howard
Journal:  Kidney Int       Date:  1996-02       Impact factor: 10.612

7.  Renal disease susceptibility and hypertension are under independent genetic control in the fawn-hooded rat.

Authors:  D M Brown; A P Provoost; M J Daly; E S Lander; H J Jacob
Journal:  Nat Genet       Date:  1996-01       Impact factor: 38.330

8.  TCF7L2 variants associate with CKD progression and renal function in population-based cohorts.

Authors:  Anna Köttgen; Shih-Jen Hwang; Evadnie Rampersaud; Josef Coresh; Kari E North; James S Pankow; James B Meigs; Jose C Florez; Afshin Parsa; Daniel Levy; Eric Boerwinkle; Alan R Shuldiner; Caroline S Fox; W H Linda Kao
Journal:  J Am Soc Nephrol       Date:  2008-07-23       Impact factor: 10.121

9.  Variants of the transcription factor 7-like 2 (TCF7L2) gene are associated with type 2 diabetes in an African-American population enriched for nephropathy.

Authors:  Michèle M Sale; Shelly G Smith; Josyf C Mychaleckyj; Keith L Keene; Carl D Langefeld; Tennille S Leak; Pamela J Hicks; Donald W Bowden; Stephen S Rich; Barry I Freedman
Journal:  Diabetes       Date:  2007-06-29       Impact factor: 9.461

10.  A genome-wide association for kidney function and endocrine-related traits in the NHLBI's Framingham Heart Study.

Authors:  Shih-Jen Hwang; Qiong Yang; James B Meigs; Elizabeth N Pearce; Caroline S Fox
Journal:  BMC Med Genet       Date:  2007-09-19       Impact factor: 2.103

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  11 in total

1.  Heritability of serum sodium concentration: evidence for sex- and ethnic-specific effects.

Authors:  Beth Wilmot; V Saroja Voruganti; Yen-Pei C Chang; Yi Fu; Zhan Chen; Herman A Taylor; James G Wilson; Teresa Gipson; Vallabh O Shah; Jason G Umans; Michael F Flessner; Robert Hitzemann; Alan R Shuldiner; Anthony G Comuzzie; Shannon McWeeney; Philip G Zager; Jean W Maccluer; Shelley A Cole; David M Cohen
Journal:  Physiol Genomics       Date:  2011-12-20       Impact factor: 3.107

2.  Racial and ethnic differences in albuminuria in individuals with estimated GFR greater than 60 mL/min/1.73 m(2): results from the Kidney Early Evaluation Program (KEEP).

Authors:  Stacey E Jolly; Nilka Ríos Burrows; Shu-Cheng Chen; Suying Li; Claudine T Jurkovitz; Andrew S Narva; Keith C Norris; Michael G Shlipak
Journal:  Am J Kidney Dis       Date:  2010-03       Impact factor: 8.860

Review 3.  Meta-analysis of genome-wide linkage scans for renal function traits.

Authors:  Madhumathi Rao; Amy K Mottl; Shelley A Cole; Jason G Umans; Barry I Freedman; Donald W Bowden; Carl D Langefeld; Caroline S Fox; Qiong Yang; Adrienne Cupples; Sudha K Iyengar; Steven C Hunt; Thomas A Trikalinos
Journal:  Nephrol Dial Transplant       Date:  2011-05-28       Impact factor: 5.992

4.  Relationship between ADIPOQ gene, circulating high molecular weight adiponectin and albuminuria in individuals with normal kidney function: evidence from a family-based study.

Authors:  C Menzaghi; S De Cosmo; M Copetti; L Salvemini; C De Bonis; D Mangiacotti; G Fini; F Pellegrini; V Trischitta
Journal:  Diabetologia       Date:  2011-01-13       Impact factor: 10.122

5.  Genetic predisposition to albuminuria is associated with increased arterial stiffness: role of elastin.

Authors:  M Gil-Ortega; C F García-Prieto; G Ruiz-Hurtado; C Steireif; M C González; A Schulz; R Kreutz; M S Fernández-Alfonso; S Arribas; B Somoza
Journal:  Br J Pharmacol       Date:  2015-07-21       Impact factor: 8.739

6.  Generalization of associations of kidney-related genetic loci to American Indians.

Authors:  Nora Franceschini; Karin Haack; Laura Almasy; Sandra Laston; Elisa T Lee; Lyle G Best; Richard R Fabsitz; Jean W MacCluer; Barbara V Howard; Jason G Umans; Shelley A Cole
Journal:  Clin J Am Soc Nephrol       Date:  2013-12-05       Impact factor: 8.237

7.  Genetic analysis of albuminuria in collaborative cross and multiple mouse intercross populations.

Authors:  Jill Thaisz; Shirng-Wern Tsaih; Minjie Feng; Vivek M Philip; Yunyu Zhang; Liane Yanas; Susan Sheehan; Lingfei Xu; Darla R Miller; Beverly Paigen; Elissa J Chesler; Gary A Churchill; Keith Dipetrillo
Journal:  Am J Physiol Renal Physiol       Date:  2012-08-01

8.  The association of genetic variants of type 2 diabetes with kidney function.

Authors:  Nora Franceschini; Nawar M Shara; Hong Wang; V Saroja Voruganti; Sandy Laston; Karin Haack; Elisa T Lee; Lyle G Best; Jean W Maccluer; Barbara J Cochran; Thomas D Dyer; Barbara V Howard; Shelley A Cole; Kari E North; Jason G Umans
Journal:  Kidney Int       Date:  2012-04-18       Impact factor: 10.612

9.  CUBN is a gene locus for albuminuria.

Authors:  Carsten A Böger; Ming-Huei Chen; Adrienne Tin; Matthias Olden; Anna Köttgen; Ian H de Boer; Christian Fuchsberger; Conall M O'Seaghdha; Cristian Pattaro; Alexander Teumer; Ching-Ti Liu; Nicole L Glazer; Man Li; Jeffrey R O'Connell; Toshiko Tanaka; Carmen A Peralta; Zoltán Kutalik; Jian'an Luan; Jing Hua Zhao; Shih-Jen Hwang; Ermeg Akylbekova; Holly Kramer; Pim van der Harst; Albert V Smith; Kurt Lohman; Mariza de Andrade; Caroline Hayward; Barbara Kollerits; Anke Tönjes; Thor Aspelund; Erik Ingelsson; Gudny Eiriksdottir; Lenore J Launer; Tamara B Harris; Alan R Shuldiner; Braxton D Mitchell; Dan E Arking; Nora Franceschini; Eric Boerwinkle; Josephine Egan; Dena Hernandez; Muredach Reilly; Raymond R Townsend; Thomas Lumley; David S Siscovick; Bruce M Psaty; Bryan Kestenbaum; Talin Haritunians; Sven Bergmann; Peter Vollenweider; Gerard Waeber; Vincent Mooser; Dawn Waterworth; Andrew D Johnson; Jose C Florez; James B Meigs; Xiaoning Lu; Stephen T Turner; Elizabeth J Atkinson; Tennille S Leak; Knut Aasarød; Frank Skorpen; Ann-Christine Syvänen; Thomas Illig; Jens Baumert; Wolfgang Koenig; Bernhard K Krämer; Olivier Devuyst; Josyf C Mychaleckyj; Cosetta Minelli; Stephan J L Bakker; Lyudmyla Kedenko; Bernhard Paulweber; Stefan Coassin; Karlhans Endlich; Heyo K Kroemer; Reiner Biffar; Sylvia Stracke; Henry Völzke; Michael Stumvoll; Reedik Mägi; Harry Campbell; Veronique Vitart; Nicholas D Hastie; Vilmundur Gudnason; Sharon L R Kardia; Yongmei Liu; Ozren Polasek; Gary Curhan; Florian Kronenberg; Inga Prokopenko; Igor Rudan; Johan Arnlöv; Stein Hallan; Gerjan Navis; Afshin Parsa; Luigi Ferrucci; Josef Coresh; Michael G Shlipak; Shelley B Bull; Nicholas J Paterson; H-Erich Wichmann; Nicholas J Wareham; Ruth J F Loos; Jerome I Rotter; Peter P Pramstaller; L Adrienne Cupples; Jacques S Beckmann; Qiong Yang; Iris M Heid; Rainer Rettig; Albert W Dreisbach; Murielle Bochud; Caroline S Fox; W H L Kao
Journal:  J Am Soc Nephrol       Date:  2011-03       Impact factor: 14.978

10.  Prevalence of Albuminuria in Cardiology and Endocrinology Departments and Its Influencing Factors: A Multicenter, Real-World Evidence Study in China.

Authors:  Qian Ren; Changsheng Ma; Jiguang Wang; Xiaohui Guo; Linong Ji
Journal:  Int J Hypertens       Date:  2020-05-02       Impact factor: 2.420

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