Genome-wide linkage analysis for ocular and nasal anthropometric traits in a Mongolian population

被引:0
|
作者
Sun-Wha Im
Hyun-Jin Kim
Mi Kyeong Lee
Jae-hyuk Yi
Ganchimeg Jargal
Joohon Sung
Sung-il Cho
Jong-Il Kim
机构
[1] Genomic Medicine Institute,Department of Biochemistry and Molecular Biology
[2] Medical Research Center,Department of Biomedical Sciences
[3] Seoul National University,Department of Epidemiology
[4] Seoul 100-799,undefined
[5] Korea.,undefined
[6] Seoul National University College of Medicine,undefined
[7] Seoul 100-799,undefined
[8] Korea.,undefined
[9] Seoul National University Graduate School,undefined
[10] Seoul 100-799,undefined
[11] Korea.,undefined
[12] Graduate School of Public Health and Institute of Health and Environment,undefined
[13] Seoul National University,undefined
[14] Seoul 151-742,undefined
[15] Korea.,undefined
来源
关键词
anthropometry; eye; genetic linkage; nose; quantitative trait loci;
D O I
暂无
中图分类号
学科分类号
摘要
Anthropometric traits for eyes and nose are complex quantitative traits influenced by genetic and environmental factors. To date, there have been few reports on the contribution of genetic influence to these traits in Asian populations. The aim of this study was to determine the genetic effect and quantitative trait locus (QTL) of seven traits eyes- and nose-related anthropometric measurements in an isolated Mongolian population. Frontal and lateral photographs were obtained from 1,014 individuals (434 males and 580 females) of Mongolian origin. A total of 349 short tandem repeat markers on 22 autosomes were genotyped for each individual. Heritability estimates of the seven ocular and nasal traits, adjusted for significant covariates, ranged from 0.48 to 0.90, providing evidence for a genetic influence. Variance-component linkage analyses revealed 10 suggestive linkage signals on 5q34 (LOD = 3.2), 18q12.2 (LOD = 2.7), 5q15 (LOD = 2.0), 9q34.2 (LOD = 1.9), 5q34 (LOD = 1.9), 17q22 (LOD = 1.9), 13q33.3 (LOD = 2.7), 1q36.22 (LOD = 1.9), 4q32.1 (LOD = 2.1) and 15q22.31 (LOD = 2.9). Our study provides the first evidence that genetics influences nasal and ocular traits in a Mongolian population. Additional collaborative efforts will further extend our understanding of the link between genetic factors and human anthropometric traits.
引用
收藏
页码:799 / 804
页数:5
相关论文
共 50 条
  • [41] Detection of susceptibility loci by genome-wide linkage analysis
    Babron, MC
    Bourgain, C
    Leutenegger, AL
    Clerget-Darpoux, F
    [J]. BMC GENETICS, 2005, 6 (Suppl 1)
  • [42] Genome-Wide Association Study for Glycemic Traits in the Korean Population
    Hwang, Joo-Yeon
    Go, Min Jin
    Kim, Young Jim
    Lee, Juyoung
    Kim, Bong-Jo
    Han, Bok-Ghee
    Lee, Jong-Young
    Cho, Yoon Shin
    [J]. DIABETES, 2012, 61 : A399 - A399
  • [43] Genome-wide association analysis of metabolic traits in a birth cohort from a founder population
    Sabatti, Chiara
    Service, Susan K.
    Hartikainen, Anna-Liisa
    Pouta, Anneli
    Ripatti, Samuli
    Brodsky, Jae
    Jones, Chris G.
    Zaitlen, Noah A.
    Varilo, Teppo
    Kaakinen, Marika
    Sovio, Ulla
    Ruokonen, Aimo
    Laitinen, Jaana
    Jakkula, Eveliina
    Coin, Lachlan
    Hoggart, Clive
    Collins, Andrew
    Turunen, Hannu
    Gabriel, Stacey
    Elliot, Paul
    McCarthy, Mark I.
    Daly, Mark J.
    Jarvelin, Marjo-Riitta
    Freimer, Nelson B.
    Peltonen, Leena
    [J]. NATURE GENETICS, 2009, 41 (01) : 35 - 46
  • [44] A genome-wide search for linkage to atopic dermatitis and underlying quantitative traits.
    Cookson, WO
    Ubhi, B
    Walley, A
    Lawrence, R
    Cox, H
    Coleman, R
    Abecasis, GR
    Moffatt, MF
    Harper, JJ
    [J]. AMERICAN JOURNAL OF HUMAN GENETICS, 2000, 67 (04) : 308 - 308
  • [45] A genome-wide linkage study of individuals with high scores on NEO personality traits
    Amin, N.
    Schuur, M.
    Gusareva, E. S.
    Isaacs, A.
    Aulchenko, Y. S.
    Kirichenko, A. V.
    Zorkoltseva, I. V.
    Axenovich, T. I.
    Oostra, B. A.
    Janssens, A. C. J. W.
    van Duijn, C. M.
    [J]. MOLECULAR PSYCHIATRY, 2012, 17 (10) : 1031 - 1041
  • [46] A genome-wide linkage study of individuals with high scores on NEO personality traits
    N Amin
    M Schuur
    E S Gusareva
    A Isaacs
    Y S Aulchenko
    A V Kirichenko
    I V Zorkoltseva
    T I Axenovich
    B A Oostra
    A C J W Janssens
    C M van Duijn
    [J]. Molecular Psychiatry, 2012, 17 : 1031 - 1041
  • [47] Genome-wide association analysis of metabolic traits in a birth cohort from a founder population
    Chiara Sabatti
    Susan K Service
    Anna-Liisa Hartikainen
    Anneli Pouta
    Samuli Ripatti
    Jae Brodsky
    Chris G Jones
    Noah A Zaitlen
    Teppo Varilo
    Marika Kaakinen
    Ulla Sovio
    Aimo Ruokonen
    Jaana Laitinen
    Eveliina Jakkula
    Lachlan Coin
    Clive Hoggart
    Andrew Collins
    Hannu Turunen
    Stacey Gabriel
    Paul Elliot
    Mark I McCarthy
    Mark J Daly
    Marjo-Riitta Järvelin
    Nelson B Freimer
    Leena Peltonen
    [J]. Nature Genetics, 2009, 41 : 35 - 46
  • [48] Genome-wide association of anthropometric traits in African- and African-derived populations
    Kang, Sun J.
    Chiang, Charleston W. K.
    Palmer, Cameron D.
    Tayo, Bamidele O.
    Lettre, Guillaume
    Butler, Johannah L.
    Hackett, Rachel
    Adeyemo, Adebowale A.
    Guiducci, Candace
    Berzins, Ilze
    Nguyen, Thutrang T.
    Feng, Tao
    Luke, Amy
    Shriner, Daniel
    Ardlie, Kristin
    Rotimi, Charles
    Wilks, Rainford
    Forrester, Terrence
    McKenzie, Colin A.
    Lyon, Helen N.
    Cooper, Richard S.
    Zhu, Xiaofeng
    Hirschhorn, Joel N.
    [J]. HUMAN MOLECULAR GENETICS, 2010, 19 (13) : 2725 - 2738
  • [49] A Genome-Wide Association Study of Novel Genetic Variants Associated With Anthropometric Traits in Koreans
    Cho, Hye-Won
    Jin, Hyun-Seok
    Eom, Yong-Bin
    [J]. FRONTIERS IN GENETICS, 2021, 12
  • [50] Genome-Wide Association Analysis of Rice Leaf Traits
    Wang, Nansheng
    Wang, Xingmeng
    Qian, Yingzhi
    Bai, Di
    Bao, Yaling
    Zhao, Xueyu
    Xu, Peng
    Li, Keyang
    Li, Jianfeng
    Li, Kang
    Zhang, Dewen
    Shi, Yingyao
    [J]. AGRONOMY-BASEL, 2023, 13 (11):