Literature DB >> 20711176

A genome-wide association study identifies four susceptibility loci for keloid in the Japanese population.

Mitsuko Nakashima1, Suyoun Chung, Atsushi Takahashi, Naoyuki Kamatani, Takahisa Kawaguchi, Tatsuhiko Tsunoda, Naoya Hosono, Michiaki Kubo, Yusuke Nakamura, Hitoshi Zembutsu.   

Abstract

Keloid is a dermal fibroproliferative growth that results from dysfunction of the wound healing processes. Through a multistage genome-wide association study using 824 individuals with keloid (cases) and 3,205 unaffected controls in the Japanese population, we identified significant associations of keloid with four SNP loci in three chromosomal regions: 1q41, 3q22.3-23 and 15q21.3. The most significant association with keloid was observed at rs873549 (combined P = 5.89 x 10(-23), odds ratio (OR) = 1.77) on chromosome 1. Associations on chromosome 3 were observed at two separate linkage disequilibrium (LD) blocks: rs1511412 in the LD block including FOXL2 with P = 2.31 x 10(-13) (OR = 1.87) and rs940187 in another LD block with P = 1.80 x 10(-13) (OR = 1.98). Association of rs8032158 located in NEDD4 on chromosome 15 yielded P = 5.96 x 10(-13) (OR = 1.51). Our findings provide new insights into the pathophysiology of keloid formation.

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Year:  2010        PMID: 20711176     DOI: 10.1038/ng.645

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  32 in total

1.  Clinical genetics of familial keloids.

Authors:  A G Marneros; J E Norris; B R Olsen; E Reichenberger
Journal:  Arch Dermatol       Date:  2001-11

2.  A high-throughput SNP typing system for genome-wide association studies.

Authors:  Y Ohnishi; T Tanaka; K Ozaki; R Yamada; H Suzuki; Y Nakamura
Journal:  J Hum Genet       Date:  2001       Impact factor: 3.172

3.  Strategies for genome-wide association studies: optimization of study designs by the stepwise focusing method.

Authors:  Akira Saito; Naoyuki Kamatani
Journal:  J Hum Genet       Date:  2002       Impact factor: 3.172

4.  Efficiency and power in genetic association studies.

Authors:  Paul I W de Bakker; Roman Yelensky; Itsik Pe'er; Stacey B Gabriel; Mark J Daly; David Altshuler
Journal:  Nat Genet       Date:  2005-10-23       Impact factor: 38.330

Review 5.  The BioBank Japan Project.

Authors:  Yusuke Nakamura
Journal:  Clin Adv Hematol Oncol       Date:  2007-09

6.  The gonadotropin releasing hormone (GnRH) receptor activating sequence (GRAS) is a composite regulatory element that interacts with multiple classes of transcription factors including Smads, AP-1 and a forkhead DNA binding protein.

Authors:  Buffy S Ellsworth; Ann T Burns; Kenneth W Escudero; Dawn L Duval; Scott E Nelson; Colin M Clay
Journal:  Mol Cell Endocrinol       Date:  2003-08-29       Impact factor: 4.102

7.  A genome-wide association study in 19 633 Japanese subjects identified LHX3-QSOX2 and IGF1 as adult height loci.

Authors:  Yukinori Okada; Yoichiro Kamatani; Atsushi Takahashi; Koichi Matsuda; Naoya Hosono; Hiroko Ohmiya; Yataro Daigo; Kazuhiko Yamamoto; Michiaki Kubo; Yusuke Nakamura; Naoyuki Kamatani
Journal:  Hum Mol Genet       Date:  2010-02-26       Impact factor: 6.150

8.  NEDD4-1 is a proto-oncogenic ubiquitin ligase for PTEN.

Authors:  Xinjiang Wang; Lloyd C Trotman; Theresa Koppie; Andrea Alimonti; Zhenbang Chen; Zhonghua Gao; Junru Wang; Hediye Erdjument-Bromage; Paul Tempst; Carlos Cordon-Cardo; Pier Paolo Pandolfi; Xuejun Jiang
Journal:  Cell       Date:  2007-01-12       Impact factor: 41.582

9.  Genetic susceptibility to keloid disease: mutation screening of the TGFbeta3 gene.

Authors:  A Bayat; J M Walter; O Bock; U Mrowietz; W E R Ollier; M W J Ferguson
Journal:  Br J Plast Surg       Date:  2005-10

10.  The putative forkhead transcription factor FOXL2 is mutated in blepharophimosis/ptosis/epicanthus inversus syndrome.

Authors:  L Crisponi; M Deiana; A Loi; F Chiappe; M Uda; P Amati; L Bisceglia; L Zelante; R Nagaraja; S Porcu; M S Ristaldi; R Marzella; M Rocchi; M Nicolino; A Lienhardt-Roussie; A Nivelon; A Verloes; D Schlessinger; P Gasparini; D Bonneau; A Cao; G Pilia
Journal:  Nat Genet       Date:  2001-02       Impact factor: 38.330

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  64 in total

1.  siRNA knockdown of tissue inhibitor of metalloproteinase-1 in keloid fibroblasts leads to degradation of collagen type I.

Authors:  Masayo Aoki; Koichi Miyake; Rei Ogawa; Teruyuki Dohi; Satoshi Akaishi; Hiko Hyakusoku; Takashi Shimada
Journal:  J Invest Dermatol       Date:  2013-09-16       Impact factor: 8.551

2.  SNP rs1511412 in FOXL2 gene as a risk factor for keloid by meta analysis.

Authors:  Wensheng Lu; Xiaodong Zheng; Shengli Liu; Maoqian Ding; Jian Xie; Xiuhua Yao; Lanfang Zhang; Bai Hu
Journal:  Int J Clin Exp Med       Date:  2015-02-15

Review 3.  From genetics to epigenetics: new insights into keloid scarring.

Authors:  Yongjing He; Zhenjun Deng; Mansour Alghamdi; Lechun Lu; Mark W Fear; Li He
Journal:  Cell Prolif       Date:  2017-01-05       Impact factor: 6.831

4.  Systems genetics identifies a macrophage cholesterol network associated with physiological wound healing.

Authors:  Marta Bagnati; Aida Moreno-Moral; Jeong-Hun Ko; Jérôme Nicod; Nathan Harmston; Martha Imprialou; Laurence Game; Jesus Gil; Enrico Petretto; Jacques Behmoaras
Journal:  JCI Insight       Date:  2019-01-24

5.  Digital imaging analysis to assess scar phenotype.

Authors:  Brian J Smith; Nichole Nidey; Steven F Miller; Lina M Moreno Uribe; Christian L Baum; Grant S Hamilton; George L Wehby; Martine Dunnwald
Journal:  Wound Repair Regen       Date:  2014 Mar-Apr       Impact factor: 3.617

6.  Associations between keloid severity and single-nucleotide polymorphisms: importance of rs8032158 as a biomarker of keloid severity.

Authors:  Rei Ogawa; Atsushi Watanabe; Banyar Than Naing; Motoko Sasaki; Atsushi Fujita; Satoshi Akaishi; Hiko Hyakusoku; Takashi Shimada
Journal:  J Invest Dermatol       Date:  2014-02-04       Impact factor: 8.551

7.  NEDD4 single nucleotide polymorphism rs2271289 is associated with keloids in Chinese Han population.

Authors:  Ying Zhao; Sheng-Li Liu; Jian Xie; Mao-Qian Ding; Meng-Zhu Lu; Lan-Fang Zhang; Xiu-Hua Yao; Bai Hu; Wen-Sheng Lu; Xiao-Dong Zheng
Journal:  Am J Transl Res       Date:  2016-02-15       Impact factor: 4.060

8.  Genomic risk variants at 3q22.3 are associated with keloids in a Chinese Han population.

Authors:  Meng-Zhu Lu; Qian-Qian Ang; Xiang Zhang; Lan-Fang Zhang; Xiu-Hua Yao; Hong Lv; Xiao-Dong Zheng; Wen-Sheng Lu
Journal:  Am J Transl Res       Date:  2018-02-15       Impact factor: 4.060

9.  Identification of ASAH1 as a susceptibility gene for familial keloids.

Authors:  Regie Lyn P Santos-Cortez; Ying Hu; Fanyue Sun; Fairouz Benahmed-Miniuk; Jian Tao; Jitendra K Kanaujiya; Samuel Ademola; Solomon Fadiora; Victoria Odesina; Deborah A Nickerson; Michael J Bamshad; Peter B Olaitan; Odunayo M Oluwatosin; Suzanne M Leal; Ernst J Reichenberger
Journal:  Eur J Hum Genet       Date:  2017-07-26       Impact factor: 4.246

Review 10.  The Ubiquitin Proteasome System and Skin Fibrosis.

Authors:  Wanlu Shen; Zhigang Zhang; Jiaqing Ma; Di Lu; Lechun Lyu
Journal:  Mol Diagn Ther       Date:  2021-01-12       Impact factor: 4.074

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