OBJECTIVE: To conduct a full genome search for genes potentially influencing two related phenotypes: body mass index (BMI, kg/m2) and percent body fat (PBF) from bioelectric impedance in men and women. DESIGN: A total of 3383 participants, 1348 men and 2035 women; recruitment was initiated with hypertensive sibpairs and expanded to first-degree relatives in a multicenter study of hypertension genetics. MEASUREMENTS: Genotypes for 387 highly polymorphic markers spaced to provide a 10 cM map (CHLC-8) were generated by the NHLBI Mammalian Genotyping Service (Marshfield, WI, USA). Quantitative trait loci for obesity phenotypes, BMI and PBF, were examined with a variance components method using SOLAR, adjusting for hypertensive status, ethnicity, center, age, age2, sex, and age2 x sex. As we detected a significant genotype-by-sex interaction in initial models and because of the importance of sex effects in the expression of these phenotypes, models thereafter were stratified by sex. No genotype-by-ethnicity interactions were found. RESULTS: A QTL influencing PBF in women was detected on chromosome12q (12q24.3-12q24.32, maximum empirical LOD score=3.8); a QTL influencing this phenotype in men was found on chromosome 15q (15q25.3, maximum empirical LOD score=3.0). These QTLs were detected in African-American and white women (12q) and men (15q). QTLs influencing both BMI and PBF were found over a broad region on chromosome 3 in men. QTLs on chromosomes 3 and 12 were found in the combined sample of men and women, but with weaker significance. CONCLUSION: The locations with highest LOD scores have been previously reported for obesity phenotypes, indicating that at least two genomic regions influence obesity-related traits. Furthermore, our results indicate the importance of considering context-dependent effects in the search for obesity QTLs.
OBJECTIVE: To conduct a full genome search for genes potentially influencing two related phenotypes: body mass index (BMI, kg/m2) and percent body fat (PBF) from bioelectric impedance in men and women. DESIGN: A total of 3383 participants, 1348 men and 2035 women; recruitment was initiated with hypertensive sibpairs and expanded to first-degree relatives in a multicenter study of hypertension genetics. MEASUREMENTS: Genotypes for 387 highly polymorphic markers spaced to provide a 10 cM map (CHLC-8) were generated by the NHLBI Mammalian Genotyping Service (Marshfield, WI, USA). Quantitative trait loci for obesity phenotypes, BMI and PBF, were examined with a variance components method using SOLAR, adjusting for hypertensive status, ethnicity, center, age, age2, sex, and age2 x sex. As we detected a significant genotype-by-sex interaction in initial models and because of the importance of sex effects in the expression of these phenotypes, models thereafter were stratified by sex. No genotype-by-ethnicity interactions were found. RESULTS: A QTL influencing PBF in women was detected on chromosome12q (12q24.3-12q24.32, maximum empirical LOD score=3.8); a QTL influencing this phenotype in men was found on chromosome 15q (15q25.3, maximum empirical LOD score=3.0). These QTLs were detected in African-American and white women (12q) and men (15q). QTLs influencing both BMI and PBF were found over a broad region on chromosome 3 in men. QTLs on chromosomes 3 and 12 were found in the combined sample of men and women, but with weaker significance. CONCLUSION: The locations with highest LOD scores have been previously reported for obesity phenotypes, indicating that at least two genomic regions influence obesity-related traits. Furthermore, our results indicate the importance of considering context-dependent effects in the search for obesity QTLs.
Authors: Y-F Chiu; L-M Chuang; H-Y Kao; K-C Shih; M-W Lin; W-J Lee; T Quertermous; J D Curb; I Chen; B L Rodriguez; C A Hsiung Journal: Hum Genet Date: 2010-08-20 Impact factor: 4.132
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
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
Authors: Andrew P Feinberg; Rafael A Irizarry; Delphine Fradin; Martin J Aryee; Peter Murakami; Thor Aspelund; Gudny Eiriksdottir; Tamara B Harris; Lenore Launer; Vilmundur Gudnason; M Daniele Fallin Journal: Sci Transl Med Date: 2010-09-15 Impact factor: 17.956
Authors: Vincent P Diego; David L Rainwater; Xing-Li Wang; Shelley A Cole; Joanne E Curran; Matthew P Johnson; Jeremy B M Jowett; Thomas D Dyer; Jeff T Williams; Eric K Moses; Anthony G Comuzzie; Jean W Maccluer; Michael C Mahaney; John Blangero Journal: Am J Hum Genet Date: 2006-11-16 Impact factor: 11.025
Authors: V Saroja Voruganti; Vincent P Diego; Karin Haack; Shelley A Cole; John Blangero; Harald H H Göring; Sandra Laston; Charlotte R Wenger; Sven O E Ebbesson; Richard R Fabsitz; Richard B Devereux; Barbara V Howard; Jason G Umans; Jean W MacCluer; Anthony G Comuzzie Journal: Obesity (Silver Spring) Date: 2011-04-28 Impact factor: 5.002
Authors: Larry D Atwood; Nancy L Heard-Costa; Caroline S Fox; Cashell E Jaquish; L Adrienne Cupples Journal: BMC Genet Date: 2006-01-26 Impact factor: 2.797