Literature DB >> 19834501

Evaluation of genetic loci influencing adult height in the Japanese population.

Fumihiko Takeuchi1, Toru Nabika, Masato Isono, Tomohiro Katsuya, Takao Sugiyama, Shuhei Yamaguchi, Shotai Kobayashi, Yukio Yamori, Toshio Ogihara, Norihiro Kato.   

Abstract

Adult height is a highly heritable, classic polygenic trait. The recent advent of genome-wide association studies has led to the identification of robust association at common variants influencing the normal variation of height; the number of loci has now risen to 50. The present study tested the potential overlap of height associations at 46 loci that were previously reported in European-descent populations with those among 1530 Japanese subjects and also attempted to replicate the suggestive association signals that were previously reported in East Asians alone. We found a total of 20 independent loci to be significantly (P<0.05) associated with height among the Japanese subjects (N< or =6814); 19 loci were originally identified in Europeans and the remaining 1 locus (ZFAT) was previously reported in Koreans (P=3.8 x 10(-9) with the Japanese and Korean data combined for ZFAT). Although 41% (19 of 46) of the loci were nominally replicated, a higher proportion of the tested loci seemed to overlap between the Japanese and Europeans; 83% (38 of 46) of the loci showed a concordant direction of association between the two ethnic groups. Despite the substantial inter-population overlap observed in the present study, further investigation is warranted to search for loci with enhanced genetic impacts in East Asians than in Europeans.

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Year:  2009        PMID: 19834501     DOI: 10.1038/jhg.2009.99

Source DB:  PubMed          Journal:  J Hum Genet        ISSN: 1434-5161            Impact factor:   3.172


  12 in total

Review 1.  Recent progress in the study of the genetics of height.

Authors:  Guillaume Lettre
Journal:  Hum Genet       Date:  2011-02-22       Impact factor: 4.132

Review 2.  Mammalian axoneme central pair complex proteins: Broader roles revealed by gene knockout phenotypes.

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Journal:  Proc Natl Acad Sci U S A       Date:  2010-07-26       Impact factor: 11.205

4.  A genome-wide approach reveals novel imprinted genes expressed in the human placenta.

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5.  Four loci explain 83% of size variation in the horse.

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Journal:  PLoS One       Date:  2012-07-11       Impact factor: 3.240

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Authors:  Maria Eugenia Teves; Gobalakrishnan Sundaresan; David J Cohen; Sharon L Hyzy; Illya Kajan; Melissa Maczis; Zhibing Zhang; Richard M Costanzo; Jamal Zweit; Zvi Schwartz; Barbara D Boyan; Jerome F Strauss
Journal:  PLoS One       Date:  2015-05-27       Impact factor: 3.240

7.  A genome-wide association study for body weight in Japanese Thoroughbred racehorses clarifies candidate regions on chromosomes 3, 9, 15, and 18.

Authors:  Teruaki Tozaki; Mio Kikuchi; Hironaga Kakoi; Kei-Ichi Hirota; Shun-Ichi Nagata
Journal:  J Equine Sci       Date:  2017-12-16

8.  Analysis of a large dataset reveals haplotypes carrying putatively recessive lethal and semi-lethal alleles with pleiotropic effects on economically important traits in beef cattle.

Authors:  Janez Jenko; Matthew C McClure; Daragh Matthews; Jennifer McClure; Martin Johnsson; Gregor Gorjanc; John M Hickey
Journal:  Genet Sel Evol       Date:  2019-03-05       Impact factor: 4.297

9.  Zfat-deficiency results in a loss of CD3ζ phosphorylation with dysregulation of ERK and Egr activities leading to impaired positive selection.

Authors:  Masahiro Ogawa; Tadashi Okamura; Shuhei Ishikura; Keiko Doi; Hiroshi Matsuzaki; Yoko Tanaka; Takeharu Ota; Kunihiro Hayakawa; Harumi Suzuki; Toshiyuki Tsunoda; Takehiko Sasazuki; Senji Shirasawa
Journal:  PLoS One       Date:  2013-10-03       Impact factor: 3.240

10.  Zfat expression in ZsGreen reporter gene knock‑in mice: Implications for a novel function of Zfat in definitive erythropoiesis.

Authors:  Toshiyuki Tsunoda; Keiko Doi; Shuhei Ishikura; Hao Luo; Kensuke Nishi; Hiroshi Matsuzaki; Midori Koyanagi; Yoko Tanaka; Tadashi Okamura; Senji Shirasawa
Journal:  Int J Mol Med       Date:  2018-08-03       Impact factor: 4.101

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