BACKGROUND/ OBJECTIVES: Resting metabolic rate (RMR) contributes 60-80% of total energy expenditure and is consistently lower in populations of African descent compared with populations of European populations. Determination of European ancestry (EA) through single nucleotide polymorphism (SNP) analysis would provide an initial step for identifying genetic associations that contribute to low RMR. We sought to evaluate the association between RMR and EA in African Americans. SUBJECTS/ METHODS: RMR was measured by indirect calorimetry in 141 African American men and women (aged 74.7±3.0 years) enrolled in a substudy of the Health, Aging and Body Composition Study. Ancestry informative markers were used to estimate individual percent EA. Multivariate regression was used to assess the association between RMR and EA after adjustments for soft tissue fat-free mass (STFFM), fat mass, age, study site, physical activity level and sex. RESULTS: Mean EA was 23.8±16% (range: 0.1-70.7%) and there were no differences by sex. Following adjustments, each percent EA was associated with a 1.6 kcal/day (95% Confidence interval: 0.42, 2.7 kcal/day) higher RMR (P=0.008). This equates to a 160 kcal/day lower RMR in a population of completely African ancestry, with one of completely European ancestry. Additional adjustment for trunk STFFM that partially accounts for high-metabolic rate organs did not affect this association. CONCLUSIONS: EA in African Americans is strongly associated with higher RMR. The data suggest that population differences in RMR may be due to genetic variants.
BACKGROUND/ OBJECTIVES: Resting metabolic rate (RMR) contributes 60-80% of total energy expenditure and is consistently lower in populations of African descent compared with populations of European populations. Determination of European ancestry (EA) through single nucleotide polymorphism (SNP) analysis would provide an initial step for identifying genetic associations that contribute to low RMR. We sought to evaluate the association between RMR and EA in African Americans. SUBJECTS/ METHODS: RMR was measured by indirect calorimetry in 141 African American men and women (aged 74.7±3.0 years) enrolled in a substudy of the Health, Aging and Body Composition Study. Ancestry informative markers were used to estimate individual percent EA. Multivariate regression was used to assess the association between RMR and EA after adjustments for soft tissue fat-free mass (STFFM), fat mass, age, study site, physical activity level and sex. RESULTS: Mean EA was 23.8±16% (range: 0.1-70.7%) and there were no differences by sex. Following adjustments, each percent EA was associated with a 1.6 kcal/day (95% Confidence interval: 0.42, 2.7 kcal/day) higher RMR (P=0.008). This equates to a 160 kcal/day lower RMR in a population of completely African ancestry, with one of completely European ancestry. Additional adjustment for trunk STFFM that partially accounts for high-metabolic rate organs did not affect this association. CONCLUSIONS: EA in African Americans is strongly associated with higher RMR. The data suggest that population differences in RMR may be due to genetic variants.
Authors: Michael W Smith; Nick Patterson; James A Lautenberger; Ann L Truelove; Gavin J McDonald; Alicja Waliszewska; Bailey D Kessing; Michael J Malasky; Charles Scafe; Ernest Le; Philip L De Jager; Andre A Mignault; Zeng Yi; Guy De The; Myron Essex; Jean-Louis Sankale; Jason H Moore; Kwabena Poku; John P Phair; James J Goedert; David Vlahov; Scott M Williams; Sarah A Tishkoff; Cheryl A Winkler; Francisco M De La Vega; Trevor Woodage; John J Sninsky; David A Hafler; David Altshuler; Dennis A Gilbert; Stephen J O'Brien; David Reich Journal: Am J Hum Genet Date: 2004-04-14 Impact factor: 11.025
Authors: E J Parra; A Marcini; J Akey; J Martinson; M A Batzer; R Cooper; T Forrester; D B Allison; R Deka; R E Ferrell; M D Shriver Journal: Am J Hum Genet Date: 1998-12 Impact factor: 11.025
Authors: Nick Patterson; Neil Hattangadi; Barton Lane; Kirk E Lohmueller; David A Hafler; Jorge R Oksenberg; Stephen L Hauser; Michael W Smith; Stephen J O'Brien; David Altshuler; Mark J Daly; David Reich Journal: Am J Hum Genet Date: 2004-04-14 Impact factor: 11.025
Authors: Stéphane Blanc; Dale A Schoeller; Douglas Bauer; Michelle E Danielson; Frances Tylavsky; Eleanor M Simonsick; Tamara B Harris; Stephen B Kritchevsky; James E Everhart Journal: Am J Clin Nutr Date: 2004-02 Impact factor: 7.045
Authors: Dan Mishmar; Eduardo Ruiz-Pesini; Pawel Golik; Vincent Macaulay; Andrew G Clark; Seyed Hosseini; Martin Brandon; Kirk Easley; Estella Chen; Michael D Brown; Rem I Sukernik; Antonel Olckers; Douglas C Wallace Journal: Proc Natl Acad Sci U S A Date: 2002-12-30 Impact factor: 11.205
Authors: Yuka Sato; Carlos A Roncal-Jimenez; Ana Andres-Hernando; Thomas Jensen; Dean R Tolan; Laura G Sanchez-Lozada; Lee S Newman; Jaime Butler-Dawson; Cecilia Sorensen; Jason Glaser; Makoto Miyazaki; Henry F Diaz; Takuji Ishimoto; Tomoki Kosugi; Shoichi Maruyama; Gabriela E Garcia; Miguel A Lanaspa; Richard J Johnson Journal: Am J Physiol Renal Physiol Date: 2019-08-07
Authors: Gregory J Tranah; Ernest T Lam; Shana M Katzman; Michael A Nalls; Yiqiang Zhao; Daniel S Evans; Jennifer S Yokoyama; Ludmila Pawlikowska; Pui-Yan Kwok; Sean Mooney; Stephen Kritchevsky; Bret H Goodpaster; Anne B Newman; Tamara B Harris; Todd M Manini; Steven R Cummings Journal: Biochim Biophys Acta Date: 2012-05-31
Authors: Vibhu Parcha; Brittain Heindl; Rajat Kalra; Adam Bress; Shreya Rao; Ambarish Pandey; Barbara Gower; Marguerite R Irvin; Merry-Lynn N McDonald; Peng Li; Garima Arora; Pankaj Arora Journal: Circ Genom Precis Med Date: 2022-01-28
Authors: Frederico G S Toledo; John J Dubé; Bret H Goodpaster; Maja Stefanovic-Racic; Paul M Coen; James P DeLany Journal: Obesity (Silver Spring) Date: 2018-05 Impact factor: 5.002