Literature DB >> 15734873

Genome-wide linkage scans for fasting glucose, insulin, and insulin resistance in the National Heart, Lung, and Blood Institute Family Blood Pressure Program: evidence of linkages to chromosome 7q36 and 19q13 from meta-analysis.

Ping An1, Barry I Freedman, Craig L Hanis, Yii-Der I Chen, Alan B Weder, Nicholas J Schork, Eric Boerwinkle, Michael A Province, Chao Agnes Hsiung, Xiaodong Wu, Thomas Quertermous, D C Rao.   

Abstract

Genome-wide linkage analyses were performed using a multipoint variance components method in eight study groups from four multicenter networks (whites and blacks in GenNet; whites, blacks, and Mexican Americans in GENOA; whites and blacks in HyperGEN; and Asians in SAPPHIRe) that comprise the National Heart, Lung, and Blood Institute Family Blood Pressure Program (FBPP), in order to identify quantitative trait loci (QTLs) influencing fasting glucose, insulin, and homeostasis model assessment of insulin resistance (HOMA-IR). These study populations were enriched with subjects who had elevated blood pressure. Participants fasting <8 h, those with a history of type 2 diabetes, or those on antidiabetic medications were excluded from the current investigation. These three phenotypes were suitably transformed to approximate normal distributions. Each phenotype was adjusted for the effects of age, BMI, and field center separately by sex within each of the eight network ethnicity groups before genetic analysis. A total of 8,664 subjects comprising 5,923 sibpairs from 4,043 families with 365 markers were available for conducting a meta-analysis using a modified Fisher's method of combining the P values from each of the eight scans. Evidence of linkages was found on chromosome 7q36 at 163 cM, with a logarithm of odds (LOD) score of 3.21 for HOMA-IR, and on chromosome 19q13 at 88 cM, with a LOD score of 3.33 for fasting glucose. We also found suggestive linkages (LOD score >/=2.2) on chromosome 7q36 at 163 cM, with LOD scores of 2.31 for fasting glucose and 2.26 for fasting insulin (versus the LOD score of 3.21 for HOMA-IR at this locus). In conclusion, QTLs were identified on chromosomes 7q36 and 19q13 for fasting glucose, insulin, and insulin resistance in large and multiple-ethnicity populations in the FBPP with good replications across several other independent studies for relevant traits. Follow-up dense mapping and association studies are warranted.

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Year:  2005        PMID: 15734873     DOI: 10.2337/diabetes.54.3.909

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  30 in total

1.  Association of CD36 gene variants and metabolic syndrome in Iranians.

Authors:  Azita Zadeh-Vakili; Bita Faam; Maryam S Daneshpour; Mehdi Hedayati; Fereidoun Azizi
Journal:  Genet Test Mol Biomarkers       Date:  2011-11-02

2.  Are there common genetic and environmental factors behind the endophenotypes associated with the metabolic syndrome?

Authors:  B Benyamin; T I A Sørensen; K Schousboe; M Fenger; P M Visscher; K O Kyvik
Journal:  Diabetologia       Date:  2007-07-12       Impact factor: 10.122

3.  Variants in the CD36 gene associate with the metabolic syndrome and high-density lipoprotein cholesterol.

Authors:  Latisha Love-Gregory; Richard Sherva; Lingwei Sun; Jon Wasson; Timothy Schappe; Alessandro Doria; D C Rao; Steven C Hunt; Samuel Klein; Rosalind J Neuman; M Alan Permutt; Nada A Abumrad
Journal:  Hum Mol Genet       Date:  2008-02-27       Impact factor: 6.150

4.  Genetics of variation in HOMA-IR and cardiovascular risk factors in Mexican-Americans.

Authors:  V Saroja Voruganti; Juan C Lopez-Alvarenga; Subrata D Nath; David L Rainwater; Richard Bauer; Shelley A Cole; Jean W Maccluer; John Blangero; Anthony G Comuzzie
Journal:  J Mol Med (Berl)       Date:  2008-01-17       Impact factor: 4.599

5.  Applying novel genome-wide linkage strategies to search for loci influencing type 2 diabetes and adult height in American Samoa.

Authors:  Karolina Aberg; Guangyun Sun; Diane Smelser; Subba Rao Indugula; Hui-Ju Tsai; Matthew S Steele; John Tuitele; Ranjan Deka; Stephen T McGarvey; Daniel E Weeks
Journal:  Hum Biol       Date:  2008-04       Impact factor: 0.553

6.  Agreement among type 2 diabetes linkage studies but a poor correlation with results from genome-wide association studies.

Authors:  S Lillioja; A Wilton
Journal:  Diabetologia       Date:  2009-03-19       Impact factor: 10.122

7.  Candidate genes for plasma triglyceride, FFA, and glucose revealed from an intercross between inbred mouse strains NZB/B1NJ and NZW/LacJ.

Authors:  Zhiguang Su; Shirng-wern Tsaih; Jin Szatkiewicz; Yuan Shen; Beverly Paigen
Journal:  J Lipid Res       Date:  2008-03-24       Impact factor: 5.922

8.  Genome-wide association study identifies common loci influencing circulating glycated hemoglobin (HbA1c) levels in non-diabetic subjects: the Long Life Family Study (LLFS).

Authors:  Ping An; Iva Miljkovic; Bharat Thyagarajan; Aldi T Kraja; E Warwick Daw; James S Pankow; Elizabeth Selvin; W H Linda Kao; Nisa M Maruthur; Micahel A Nalls; Yongmei Liu; Tamara B Harris; Joseph H Lee; Ingrid B Borecki; Kaare Christensen; John H Eckfeldt; Richard Mayeux; Thomas T Perls; Anne B Newman; Michael A Province
Journal:  Metabolism       Date:  2013-12-04       Impact factor: 8.694

9.  Epistasis between hyperglycemic QTLs revealed in a double congenic of the OLETF rat.

Authors:  Hiroyuki Kose; Yoshimi Bando; Keisuke Izumi; Takahisa Yamada; Kozo Matsumoto
Journal:  Mamm Genome       Date:  2007-08-21       Impact factor: 2.957

Review 10.  Cellular fatty acid uptake: a pathway under construction.

Authors:  Xiong Su; Nada A Abumrad
Journal:  Trends Endocrinol Metab       Date:  2009-01-29       Impact factor: 12.015

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