Literature DB >> 18045248

A review of current approaches to identifying human genes involved in myopia.

Wing Chun Tang1, Maurice K H Yap, Shea Ping Yip.   

Abstract

The prevalence of myopia is high in many parts of the world, particularly among the Orientals such as Chinese and Japanese. Like other complex diseases such as diabetes and hypertension, myopia is likely to be caused by both genetic and environmental factors, and possibly their interactions. Owing to multiple genes with small effects, genetic heterogeneity and phenotypic complexity, the study of the genetics of myopia poses a complex challenge. This paper reviews the current approaches to the genetic analysis of complex diseases and how these can be applied to the identification of genes that predispose humans to myopia. These approaches include parametric linkage analysis, non-parametric linkage analysis like allele-sharing methods and genetic association studies. Basic concepts, advantages and disadvantages of these approaches are discussed and explained using examples from the literature on myopia. Microsatellites and single nucleotide polymorphisms are common genetic markers in the human genome and are indispensable tools for gene mapping. High throughput genotyping of millions of such markers has become feasible and efficient with recent technological advances. In turn, this makes the identification of myopia susceptibility genes a reality.

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Year:  2008        PMID: 18045248     DOI: 10.1111/j.1444-0938.2007.00181.x

Source DB:  PubMed          Journal:  Clin Exp Optom        ISSN: 0816-4622            Impact factor:   2.742


  28 in total

1.  Investigation of the association between all-trans-retinol dehydrogenase (RDH8) polymorphisms and high myopia in Chinese.

Authors:  Yan-shu Yu; Lin-ling Wang; Ye Shen; Maurice K H Yap; Shea-ping Yip; Wei Han
Journal:  J Zhejiang Univ Sci B       Date:  2010-11       Impact factor: 3.066

Review 2.  The role of microRNAs in myopia.

Authors:  Bo Jiang; Yanan Huo; Yangshun Gu; Jianyong Wang
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2016-11-11       Impact factor: 3.117

3.  [Nature or nurture: effects of parental ametropia on children's refractive errors].

Authors:  A Landmann; E Bechrakis
Journal:  Ophthalmologe       Date:  2013-12       Impact factor: 1.059

4.  Controversial opinion: evaluation of EGR1 and LAMA2 loci for high myopia in Chinese populations.

Authors:  Fang-yu Lin; Zhu Huang; Ning Lu; Wei Chen; Hui Fang; Wei Han
Journal:  J Zhejiang Univ Sci B       Date:  2016-03       Impact factor: 3.066

Review 5.  Nature and nurture: the complex genetics of myopia and refractive error.

Authors:  R Wojciechowski
Journal:  Clin Genet       Date:  2010-12-13       Impact factor: 4.438

6.  The association of TGFB1 genetic polymorphisms with high myopia: a systematic review and meta-analysis.

Authors:  Bo Meng; Shi-Ming Li; Yu Yang; Zhi-Rong Yang; Feng Sun; Meng-Tian Kang; Yun-Yun Sun; An-Ran Ran; Jia-Nan Wang; Ran Yan; Ya-Wen BaI; Ning-Li Wang; Si-Yan Zhan
Journal:  Int J Clin Exp Med       Date:  2015-11-15

7.  Clinical and linkage study on a consanguineous Chinese family with autosomal recessive high myopia.

Authors:  Zhikuan Yang; Xueshan Xiao; Shiqiang Li; Qingjiong Zhang
Journal:  Mol Vis       Date:  2009-02-09       Impact factor: 2.367

8.  Sequence variations of GRM6 in patients with high myopia.

Authors:  Xiaoyu Xu; Shiqiang Li; Xueshan Xiao; Panfeng Wang; Xiangming Guo; Qingjiong Zhang
Journal:  Mol Vis       Date:  2009-10-19       Impact factor: 2.367

9.  Fine-mapping of candidate region in Amish and Ashkenazi families confirms linkage of refractive error to a QTL on 1p34-p36.

Authors:  Robert Wojciechowski; Joan E Bailey-Wilson; Dwight Stambolian
Journal:  Mol Vis       Date:  2009-07-17       Impact factor: 2.367

10.  A genome-wide association analysis identified a novel susceptible locus for pathological myopia at 11q24.1.

Authors:  Hideo Nakanishi; Ryo Yamada; Norimoto Gotoh; Hisako Hayashi; Kenji Yamashiro; Noriaki Shimada; Kyoko Ohno-Matsui; Manabu Mochizuki; Masaaki Saito; Tomohiro Iida; Keitaro Matsuo; Kazuo Tajima; Nagahisa Yoshimura; Fumihiko Matsuda
Journal:  PLoS Genet       Date:  2009-09-25       Impact factor: 5.917

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