W Wang1, L-J Zhao, Y-Z Liu, R R Recker, H-W Deng. 1. The Key Laboratory of Biomedical Information Engineering of Ministry of Education and Institute of Molecular Genetics, Xi'an Jiaotong University, Xi'an, PR China.
Abstract
OBJECTIVE: To assess the extent that the genetic and environmental factors contribute to the phenotypic correlations between obesity traits and age at menarche (AAM), and also to examine the influence of AAM on obesity in both pre- and postmenopausal women. METHODS: F ive hundred and twelve pedigrees with 2667 Caucasian female subjects from two to four generations were recruited. Fat mass and lean mass (both in kg) were measured by dual-energy X-ray absorptiometry scanner. Body mass index (BMI) (kg/m(2)) was calculated. We performed bivariate quantitative genetic analyses in the total sample containing 2667 Caucasian women. We also selected 206 unrelated premenopausal women and 140 unrelated postmenopausal women from the total sample, and computed the respective phenotypic correlation between obesity and AAM in these two subgroups. RESULTS: For fat mass, lean mass and BMI, we detected their significant negative genetic correlations with AAM after adjustment for significant covariates, which were -0.3170 (P<0.001), -0.1721 (P<0.05) and -0.3665 (P<0.001), respectively. However, their environmental correlations with AAM were all nonsignificant (P>0.05), ranging from -0.0016 to 0.0192. In the premenopausal subgroup, significant associations were observed between fat mass and AAM (rho=-0.231, P<0.01) as well as between BMI and AAM (rho=-0.257, P<0.01). In the postmenopausal subgroup, no such associations were observed. CONCLUSION: Our results for the first time suggested that significant phenotypic association between obesity phenotypes and AAM is mainly attributable to shared genetic rather than environmental factors, and AAM may have stronger effects on obesity phenotypes in pre- than in postmenopausal women.
OBJECTIVE: To assess the extent that the genetic and environmental factors contribute to the phenotypic correlations between obesity traits and age at menarche (AAM), and also to examine the influence of AAM on obesity in both pre- and postmenopausal women. METHODS: F ive hundred and twelve pedigrees with 2667 Caucasian female subjects from two to four generations were recruited. Fat mass and lean mass (both in kg) were measured by dual-energy X-ray absorptiometry scanner. Body mass index (BMI) (kg/m(2)) was calculated. We performed bivariate quantitative genetic analyses in the total sample containing 2667 Caucasian women. We also selected 206 unrelated premenopausal women and 140 unrelated postmenopausal women from the total sample, and computed the respective phenotypic correlation between obesity and AAM in these two subgroups. RESULTS: For fat mass, lean mass and BMI, we detected their significant negative genetic correlations with AAM after adjustment for significant covariates, which were -0.3170 (P<0.001), -0.1721 (P<0.05) and -0.3665 (P<0.001), respectively. However, their environmental correlations with AAM were all nonsignificant (P>0.05), ranging from -0.0016 to 0.0192. In the premenopausal subgroup, significant associations were observed between fat mass and AAM (rho=-0.231, P<0.01) as well as between BMI and AAM (rho=-0.257, P<0.01). In the postmenopausal subgroup, no such associations were observed. CONCLUSION: Our results for the first time suggested that significant phenotypic association between obesity phenotypes and AAM is mainly attributable to shared genetic rather than environmental factors, and AAM may have stronger effects on obesity phenotypes in pre- than in postmenopausal women.
Authors: John R B Perry; Lisette Stolk; Nora Franceschini; Kathryn L Lunetta; Guangju Zhai; Patrick F McArdle; Albert V Smith; Thor Aspelund; Stefania Bandinelli; Eric Boerwinkle; Lynn Cherkas; Gudny Eiriksdottir; Karol Estrada; Luigi Ferrucci; Aaron R Folsom; Melissa Garcia; Vilmundur Gudnason; Albert Hofman; David Karasik; Douglas P Kiel; Lenore J Launer; Joyce van Meurs; Michael A Nalls; Fernando Rivadeneira; Alan R Shuldiner; Andrew Singleton; Nicole Soranzo; Toshiko Tanaka; Jenny A Visser; Michael N Weedon; Scott G Wilson; Vivian Zhuang; Elizabeth A Streeten; Tamara B Harris; Anna Murray; Tim D Spector; Ellen W Demerath; André G Uitterlinden; Joanne M Murabito Journal: Nat Genet Date: 2009-05-17 Impact factor: 38.330
Authors: Julie A Douglas; Marie-Hélène Roy-Gagnon; Chuan Zhou; Braxton D Mitchell; Alan R Shuldiner; Heang-Ping Chan; Mark A Helvie Journal: Cancer Epidemiol Biomarkers Prev Date: 2008-11-24 Impact factor: 4.254
Authors: John R B Perry; Yi-Hsiang Hsu; Daniel I Chasman; Andrew D Johnson; Cathy Elks; Eva Albrecht; Irene L Andrulis; Jonathan Beesley; Gerald S Berenson; Sven Bergmann; Stig E Bojesen; Manjeet K Bolla; Judith Brown; Julie E Buring; Harry Campbell; Jenny Chang-Claude; Georgia Chenevix-Trench; Tanguy Corre; Fergus J Couch; Angela Cox; Kamila Czene; Adamo Pio D'adamo; Gail Davies; Ian J Deary; Joe Dennis; Douglas F Easton; Ellen G Engelhardt; Johan G Eriksson; Tõnu Esko; Peter A Fasching; Jonine D Figueroa; Henrik Flyger; Abigail Fraser; Montse Garcia-Closas; Paolo Gasparini; Christian Gieger; Graham Giles; Pascal Guenel; Sara Hägg; Per Hall; Caroline Hayward; John Hopper; Erik Ingelsson; Sharon L R Kardia; Katherine Kasiman; Julia A Knight; Jari Lahti; Debbie A Lawlor; Patrik K E Magnusson; Sara Margolin; Julie A Marsh; Andres Metspalu; Janet E Olson; Craig E Pennell; Ozren Polasek; Iffat Rahman; Paul M Ridker; Antonietta Robino; Igor Rudan; Anja Rudolph; Andres Salumets; Marjanka K Schmidt; Minouk J Schoemaker; Erin N Smith; Jennifer A Smith; Melissa Southey; Doris Stöckl; Anthony J Swerdlow; Deborah J Thompson; Therese Truong; Sheila Ulivi; Melanie Waldenberger; Qin Wang; Sarah Wild; James F Wilson; Alan F Wright; Lina Zgaga; Ken K Ong; Joanne M Murabito; David Karasik; Anna Murray Journal: Hum Mol Genet Date: 2013-12-19 Impact factor: 6.150
Authors: Liuyang Wang; Stefan H Oehlers; Scott T Espenschied; John F Rawls; David M Tobin; Dennis C Ko Journal: Genome Biol Date: 2015-09-15 Impact factor: 13.583
Authors: Lindsay Fernández-Rhodes; Ellen W Demerath; Diana L Cousminer; Ran Tao; Jill G Dreyfus; Tõnu Esko; Albert V Smith; Vilmundur Gudnason; Tamara B Harris; Lenore Launer; Patrick F McArdle; Laura M Yerges-Armstrong; Cathy E Elks; David P Strachan; Zoltán Kutalik; Peter Vollenweider; Bjarke Feenstra; Heather A Boyd; Andres Metspalu; Evelin Mihailov; Linda Broer; M Carola Zillikens; Ben Oostra; Cornelia M van Duijn; Kathryn L Lunetta; John R B Perry; Anna Murray; Daniel L Koller; Dongbing Lai; Tanguy Corre; Daniela Toniolo; Eva Albrecht; Doris Stöckl; Harald Grallert; Christian Gieger; Caroline Hayward; Ozren Polasek; Igor Rudan; James F Wilson; Chunyan He; Peter Kraft; Frank B Hu; David J Hunter; Jouke-Jan Hottenga; Gonneke Willemsen; Dorret I Boomsma; Enda M Byrne; Nicholas G Martin; Grant W Montgomery; Nicole M Warrington; Craig E Pennell; Lisette Stolk; Jenny A Visser; Albert Hofman; André G Uitterlinden; Fernando Rivadeneira; Peng Lin; Sherri L Fisher; Laura J Bierut; Laura Crisponi; Eleonora Porcu; Massimo Mangino; Guangju Zhai; Tim D Spector; Julie E Buring; Lynda M Rose; Paul M Ridker; Charles Poole; Joel N Hirschhorn; Joanne M Murabito; Daniel I Chasman; Elisabeth Widen; Kari E North; Ken K Ong; Nora Franceschini Journal: Am J Epidemiol Date: 2013-04-04 Impact factor: 4.897