Literature DB >> 16446976

Genetic linkage of human height is confirmed to 9q22 and Xq24.

Yao-Zhong Liu1, Peng Xiao, Yan-fang Guo, Dong-Hai Xiong, Lan-Juan Zhao, Hui Shen, Yong-Jun Liu, Volodymyr Dvornyk, Ji-Rong Long, Hong-Yi Deng, Jin-Long Li, Robert R Recker, Hong-Wen Deng.   

Abstract

Human height is an important and heritable trait. Our previous two genome-wide linkage studies using 630 (WG1 study) and an extended sample of 1,816 Caucasians (WG2 study) identified 9q22 [maximum LOD score (MLS)=2.74 in the WG2 study] and preliminarily confirmed Xq24 (two-point LOD score=1.91 in the WG1 study, 2.64 in the WG2 study) linked to height. Here, with a much further extended large sample containing 3,726 Caucasians, we performed a new genome-wide linkage scan and confirmed, in high significance, the two regions' linkage to height. An MLS of 4.34 was detected on 9q22 and a two-point LOD score of 5.63 was attained for Xq24. In an independent sub-sample (i.e., the subjects not involved in the WG1 and WG2 studies), the two regions also achieved significant empirical P values (0.002 and 0.004, respectively) for "region-wise" linkage confirmation. Importantly, the two regions were replicated on a genotyping platform different from the WG1 and WG2 studies (i.e., a different set of markers and different genotyping instruments). Interestingly, 9q22 harbors the ROR2 gene, which is required for growth plate development, and Xq24 was linked to short stature. With the largest sample from a single population of the same ethnicity in the field of linkage studies for complex traits, our current study, together with two previous ones, provided overwhelming evidence substantiating 9q22 and Xq24 for height variation. In particular, our three consecutive whole genome studies are uniquely valuable as they represent the first practical (rather than simulated) example of how significant increase in sample size may improve linkage detection for human complex traits.

Entities:  

Mesh:

Year:  2006        PMID: 16446976     DOI: 10.1007/s00439-006-0136-y

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  36 in total

1.  QTLs for height: results of a full genome scan in Dutch sibling pairs.

Authors:  Gonneke Willemsen; Dorret I Boomsma; A Leo Beem; Jacqueline M Vink; P Eline Slagboom; Danielle Posthuma
Journal:  Eur J Hum Genet       Date:  2004-10       Impact factor: 4.246

2.  A major gene model of adult height is suggested in Chinese.

Authors:  Miao-Xin Li; Peng-Yuan Liu; Yu-Mei Li; Yue-Juan Qin; Yao-Zhong Liu; Hong-Wen Deng
Journal:  J Hum Genet       Date:  2004-02-27       Impact factor: 3.172

3.  Genetic dissection of human stature in a large sample of multiplex pedigrees.

Authors:  Yao-Zhong Liu; Fu-Hua Xu; Hui Shen; Yong-Jun Liu; Lan-Juan Zhao; Ji-Rong Long; Yuan-Yuan Zhang; Peng Xiao; Dong-Hai Xiong; Volodymyr Dvornyk; Jin-Long Li; Theresa Conway; K Michael Davies; Robert R Recker; Hong-Wen Deng
Journal:  Ann Hum Genet       Date:  2004-09       Impact factor: 1.670

4.  Quantitative genetic analysis of longitudinal trends in height: preliminary results from the Louisville Twin Study.

Authors:  K Phillips; A P Matheny
Journal:  Acta Genet Med Gemellol (Roma)       Date:  1990

5.  Parametric and nonparametric linkage analysis: a unified multipoint approach.

Authors:  L Kruglyak; M J Daly; M P Reeve-Daly; E S Lander
Journal:  Am J Hum Genet       Date:  1996-06       Impact factor: 11.025

6.  A whole-genome linkage scan suggests several genomic regions potentially containing QTLs underlying the variation of stature.

Authors:  Hong-Wen Deng; Fu-Hua Xu; Yao-Zhong Liu; Hui Shen; Hongyi Deng; Qing-Yang Huang; Yong-Jun Liu; Theresa Conway; Jin-Long Li; K M Davies; Robert R Recker
Journal:  Am J Med Genet       Date:  2002-11-15

7.  X-linked mental retardation with isolated growth hormone deficiency is mapped to Xq22-Xq27.2 in one family.

Authors:  M Raynaud; N Ronce; A D Ayrault; C Francannet; G Malpuech; C Moraine
Journal:  Am J Med Genet       Date:  1998-03-19

8.  Collagen Ialpha1 Sp1 polymorphism, bone mass, and bone turnover in healthy French premenopausal women: the OFELY study.

Authors:  P Garnero; O Borel; S F Grant; S H Ralston; P D Delmas
Journal:  J Bone Miner Res       Date:  1998-05       Impact factor: 6.741

9.  Major gene control of human body height, weight and BMI in five ethnically different populations.

Authors:  E Ginsburg; G Livshits; K Yakovenko; E Kobyliansky
Journal:  Ann Hum Genet       Date:  1998-07       Impact factor: 1.670

10.  Genome scan for body mass index and height in the Framingham Heart Study.

Authors:  Frank Geller; Astrid Dempfle; Tilman Görg
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

View more
  17 in total

1.  Sex-specific genetic architecture of human fatness in Chinese: the SAPPHIRe Study.

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

2.  Comprehensive multi-stage linkage analyses identify a locus for adult height on chromosome 3p in a healthy Caucasian population.

Authors:  Justine A Ellis; Katrina J Scurrah; Anna E Duncan; Angela Lamantia; Graham B Byrnes; Stephen B Harrap
Journal:  Hum Genet       Date:  2006-12-20       Impact factor: 4.132

3.  Family-based association study of ROR2 polymorphisms with an array of radiographic hand bone strength phenotypes.

Authors:  S Ermakov; I Malkin; M Keter; E Kobyliansky; G Livshits
Journal:  Osteoporos Int       Date:  2007-07-10       Impact factor: 4.507

4.  A large-scale genome-wide linkage analysis to map loci linked to stature in Chinese population.

Authors:  Xiumei Hong; Hui-Ju Tsai; Xin Liu; Zhiping Li; Xue Liu; Genfu Tang; Houxun Xing; Jianhua Yang; Binyan Wang; Yan Feng; Xin Xu; Xiping Xu; Xiaobin Wang
Journal:  J Clin Endocrinol Metab       Date:  2008-08-26       Impact factor: 5.958

5.  Applying novel genome-wide linkage strategies to search for loci influencing type 2 diabetes and adult height in American Samoa.

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

6.  Genome partitioning of genetic variation for height from 11,214 sibling pairs.

Authors:  Peter M Visscher; Stuart Macgregor; Beben Benyamin; Gu Zhu; Scott Gordon; Sarah Medland; William G Hill; Jouke-Jan Hottenga; Gonneke Willemsen; Dorret I Boomsma; Yao-Zhong Liu; Hong-Wen Deng; Grant W Montgomery; Nicholas G Martin
Journal:  Am J Hum Genet       Date:  2007-10-01       Impact factor: 11.025

7.  Older individuals heterozygous for a growth hormone-releasing hormone receptor gene mutation are shorter than normal subjects.

Authors:  Manuel H Aguiar-Oliveira; Marco A Cardoso-Filho; Rossana M C Pereira; Carla R P Oliveira; Anita H O Souza; Elenilde G Santos; Viviane C Campos; Eugênia H O Valença; Francielle T de Oliveira; Luiz A Oliveira-Neto; Miburge B Gois-Junior; Alecia A Oliveira-Santos; Roberto Salvatori
Journal:  J Hum Genet       Date:  2015-03-12       Impact factor: 3.172

8.  A blue spectral shift of the hemoglobin soret band correlates with the age (time since deposition) of dried bloodstains.

Authors:  Erin K Hanson; Jack Ballantyne
Journal:  PLoS One       Date:  2010-09-20       Impact factor: 3.240

9.  A genome-wide scan for quantitative trait loci affecting limb bone lengths and areal bone mineral density of the distal femur in a White Duroc x Erhualian F2 population.

Authors:  Huirong Mao; Yuanmei Guo; Guangcheng Yang; Bin Yang; Jun Ren; Sanfeng Liu; Huashui Ai; Junwu Ma; Bertram Brenig; Lusheng Huang
Journal:  BMC Genet       Date:  2008-10-08       Impact factor: 2.797

10.  Extended haplotypes in the growth hormone releasing hormone receptor gene (GHRHR) are associated with normal variation in height.

Authors:  Asa Johansson; Inger Jonasson; Ulf Gyllensten
Journal:  PLoS One       Date:  2009-02-11       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.