CONTEXT: A number of genome-wide scans of stature have been reported previously, but with inconsistent results. The inconsistency may be partly due to differential population characteristics and gender- and/or age-specific effects on this trait. OBJECTIVE: This study aimed to identify the quantitative trait loci (QTLs) underlying the variation of stature in Chinese population, and to evaluate age- and gender-specific linkage for stature. METHODS: We conducted a large-scale, genome-wide linkage scan using the data from three independent samples (a total of 7112 subjects from 1811 pedigrees) enrolled from the same geographical region in China. Linkage analyses were performed in the pooled samples and in subgroups defined by age (<or=25 vs. >25 yr), gender, or both, using the model-free regression method implemented in MERLIN-REGRESS. RESULTS: The strongest linkage signal was obtained on 17q24 (LOD=3.82) in the pooled samples. Age-specific analysis revealed two additional significant QTLs on 13q34 and 18p11.3 among subjects 25 yr or younger. In gender-specific analyses, males showed suggestive QTLs on 12q21 (LOD=2.31) and 17q22 (LOD=2.60), and females showed a suggestive QTL on 13q31.1 (LOD=2.68). Age- and gender-specific linkage analyses suggested that males older than 25 yr contributed more signals to QTLs on 12q21 and 17q22, with a LOD score of 3.00 and 2.26, respectively, whereas females older than 25 yr presented a suggestive QTL on 8q24.3 (LOD=2.57). CONCLUSION: Our study identified a strong linkage of chromosome 17q24 to stature in this Chinese population, and indicated that it may be informative to consider differential age and gender effects in the genetic dissection of stature.
CONTEXT: A number of genome-wide scans of stature have been reported previously, but with inconsistent results. The inconsistency may be partly due to differential population characteristics and gender- and/or age-specific effects on this trait. OBJECTIVE: This study aimed to identify the quantitative trait loci (QTLs) underlying the variation of stature in Chinese population, and to evaluate age- and gender-specific linkage for stature. METHODS: We conducted a large-scale, genome-wide linkage scan using the data from three independent samples (a total of 7112 subjects from 1811 pedigrees) enrolled from the same geographical region in China. Linkage analyses were performed in the pooled samples and in subgroups defined by age (<or=25 vs. >25 yr), gender, or both, using the model-free regression method implemented in MERLIN-REGRESS. RESULTS: The strongest linkage signal was obtained on 17q24 (LOD=3.82) in the pooled samples. Age-specific analysis revealed two additional significant QTLs on 13q34 and 18p11.3 among subjects 25 yr or younger. In gender-specific analyses, males showed suggestive QTLs on 12q21 (LOD=2.31) and 17q22 (LOD=2.60), and females showed a suggestive QTL on 13q31.1 (LOD=2.68). Age- and gender-specific linkage analyses suggested that males older than 25 yr contributed more signals to QTLs on 12q21 and 17q22, with a LOD score of 3.00 and 2.26, respectively, whereas females older than 25 yr presented a suggestive QTL on 8q24.3 (LOD=2.57). CONCLUSION: Our study identified a strong linkage of chromosome 17q24 to stature in this Chinese population, and indicated that it may be informative to consider differential age and gender effects in the genetic dissection of stature.
Authors: S Sammalisto; T Hiekkalinna; E Suviolahti; K Sood; A Metzidis; P Pajukanta; H E Lilja; A Soro-Paavonen; M-R Taskinen; T Tuomi; P Almgren; M Orho-Melander; L Groop; L Peltonen; M Perola Journal: J Med Genet Date: 2005-04-12 Impact factor: 6.318
Authors: Matthew B McQueen; B Devlin; Stephen V Faraone; Vishwajit L Nimgaonkar; Pamela Sklar; Jordan W Smoller; Rami Abou Jamra; Margot Albus; Silviu-Alin Bacanu; Miron Baron; Thomas B Barrett; Wade Berrettini; Deborah Blacker; William Byerley; Sven Cichon; Willam Coryell; Nick Craddock; Mark J Daly; J Raymond Depaulo; Howard J Edenberg; Tatiana Foroud; Michael Gill; T Conrad Gilliam; Marian Hamshere; Ian Jones; Lisa Jones; Suh-Hang Juo; John R Kelsoe; David Lambert; Christoph Lange; Bernard Lerer; Jianjun Liu; Wolfgang Maier; James D Mackinnon; Melvin G McInnis; Francis J McMahon; Dennis L Murphy; Markus M Nothen; John I Nurnberger; Carlos N Pato; Michele T Pato; James B Potash; Peter Propping; Ann E Pulver; John P Rice; Marcella Rietschel; William Scheftner; Johannes Schumacher; Ricardo Segurado; Kristel Van Steen; Weiting Xie; Peter P Zandi; Nan M Laird Journal: Am J Hum Genet Date: 2005-08-15 Impact factor: 11.025
Authors: M M Sale; B I Freedman; P J Hicks; A H Williams; C D Langefeld; C J Gallagher; D W Bowden; S S Rich Journal: Ann Hum Genet Date: 2005-09 Impact factor: 1.670
Authors: M J E Walenkamp; M Karperien; A M Pereira; Y Hilhorst-Hofstee; J van Doorn; J W Chen; S Mohan; A Denley; B Forbes; H A van Duyvenvoorde; S W van Thiel; C A Sluimers; J J Bax; J A P M de Laat; M B Breuning; J A Romijn; J M Wit Journal: J Clin Endocrinol Metab Date: 2005-03-15 Impact factor: 5.958
Authors: Astrid Dempfle; Stefan A Wudy; Kathrin Saar; Sandra Hagemann; Susann Friedel; André Scherag; Lars D Berthold; Gerhard Alzen; Ludwig Gortner; Werner F Blum; Anke Hinney; Peter Nürnberg; Helmut Schäfer; Johannes Hebebrand Journal: Hum Mol Genet Date: 2006-08-11 Impact factor: 6.150
Authors: Tobias Pischon; Petra H Lahmann; Heiner Boeing; Christine Friedenreich; Teresa Norat; Anne Tjønneland; Jytte Halkjaer; Kim Overvad; Françoise Clavel-Chapelon; Marie-Christine Boutron-Ruault; Gregory Guernec; Manuela M Bergmann; Jakob Linseisen; Nikolaus Becker; Antonia Trichopoulou; Dimitrios Trichopoulos; Sabina Sieri; Domenico Palli; Rosario Tumino; Paolo Vineis; Salvatore Panico; Petra H M Peeters; H Bas Bueno-de-Mesquita; Hendriek C Boshuizen; Bethany Van Guelpen; Richard Palmqvist; Göran Berglund; Carlos Alberto Gonzalez; Miren Dorronsoro; Aurelio Barricarte; Carmen Navarro; Carmen Martinez; J Ramón Quirós; Andrew Roddam; Naomi Allen; Sheila Bingham; Kay-Tee Khaw; Pietro Ferrari; Rudolf Kaaks; Nadia Slimani; Elio Riboli Journal: J Natl Cancer Inst Date: 2006-07-05 Impact factor: 13.506
Authors: Michael N Weedon; Hana Lango; Cecilia M Lindgren; Chris Wallace; David M Evans; Massimo Mangino; Rachel M Freathy; John R B Perry; Suzanne Stevens; Alistair S Hall; Nilesh J Samani; Beverly Shields; Inga Prokopenko; Martin Farrall; Anna Dominiczak; Toby Johnson; Sven Bergmann; Jacques S Beckmann; Peter Vollenweider; Dawn M Waterworth; Vincent Mooser; Colin N A Palmer; Andrew D Morris; Willem H Ouwehand; Jing Hua Zhao; Shengxu Li; Ruth J F Loos; Inês Barroso; Panagiotis Deloukas; Manjinder S Sandhu; Eleanor Wheeler; Nicole Soranzo; Michael Inouye; Nicholas J Wareham; Mark Caulfield; Patricia B Munroe; Andrew T Hattersley; Mark I McCarthy; Timothy M Frayling Journal: Nat Genet Date: 2008-04-06 Impact factor: 38.330
Authors: Mariana Moscovich; Mark S LeDoux; Jianfeng Xiao; Garrett L Rampon; Satya R Vemula; Ramon L Rodriguez; Kelly D Foote; Michael S Okun Journal: BMC Med Genet Date: 2013-07-13 Impact factor: 2.103