title: A large-scale genome-wide linkage analysis to map loci linked to stature in Chinese population.
abstract: BACKGROUND
  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).
  
  
  CONCLUSIONS
  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: Mary Ann and J. Milburn Smith Child Health Research Program, Children's Memorial Hospital and Children's Memorial Research Center, Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60614, USA.
authors: Xiumei
authors: X
authors: Hong
authors: Hui-Ju
authors: HJ
authors: Tsai
authors: Xin
authors: X
authors: Liu
authors: Zhiping
authors: Z
authors: Li
authors: Xue
authors: X
authors: Liu
authors: Genfu
authors: G
authors: Tang
authors: Houxun
authors: H
authors: Xing
authors: Jianhua
authors: J
authors: Yang
authors: Binyan
authors: B
authors: Wang
authors: Yan
authors: Y
authors: Feng
authors: Xin
authors: X
authors: Xu
authors: Xiping
authors: X
authors: Xu
authors: Xiaobin
authors: X
authors: Wang
mesh_terms: D000293:Adolescent; D000328:Adult; D000375:Aging; D044466:Asian People / Q000235:genetics*; D001249:Asthma / Q000235:genetics; D001827:Body Height / Q000235:genetics*; D002681:China / Q000208:ethnology; D002874:Chromosome Mapping; D005260:Female; D008040:Genetic Linkage; D014644:Genetic Variation; D015894:Genome, Human; D005838:Genotype; D006801:Humans; D006973:Hypertension / Q000235:genetics; D008297:Male; D008875:Middle Aged; D009679:Nuclear Family; D010024:Osteoporosis / Q000235:genetics; D040641:Quantitative Trait Loci; D012727:Sex Characteristics; D035781:Siblings; D055815:Young Adult