Literature DB >> 19932709

Global analysis of genetic variation in human arsenic (+3 oxidation state) methyltransferase (AS3MT).

Junko Fujihara1, Mikiko Soejima, Toshihiro Yasuda, Yoshiro Koda, Tetsuro Agusa, Takashi Kunito, Miki Tongu, Takaya Yamada, Haruo Takeshita.   

Abstract

Human arsenic (+3 oxidation state) methyltransferase (AS3MT) is known to catalyze the methylation of arsenite. The objective of this study was to investigate the diversity of the AS3MT gene at the global level. The distribution of 18 single nucleotide polymorphisms (SNPs) in AS3MT was performed in 827 individuals from 10 populations (Japanese, Korean, Chinese, Mongolian, Tibetans, Sri Lankan Tamils, Sri Lankan Sinhalese, Nepal Tamangs, Ovambo, and Ghanaian). In the African populations, the A allele in A6144T was not observed; the allele frequencies of C35587 were much lower than those in other populations; the allele frequencies of A37616 and C37950 were relatively higher than those in other populations. Among Asian populations, Mongolians showed a different genotype distribution pattern. A lower C3963 and T6144 frequencies were observed, and, in the C37616A and T37950C polymorphism, the Mongolian population showed higher A37616 and C37950 allele frequencies than other Asian populations, similarly to the African populations. A total of 66 haplotypes were observed in the Ovambo, 48, in the Ghanaian, 99, in the Japanese, 103, in the Korean, 103, in the South Chinese, 20, in the Sri Lankan Tamil, 12, in the Sri Lankan Sinhalese, 21, in the Nepal Tamang, 50, in the Tibetan, and 45, in the Mongolian populations. The D' values between the SNP pairs were extremely high in the Sri Lankan Sinhalese population. Relatively higher D' values were observed in Mongolian and Sri Lankan Tamil populations. Network analysis showed two clusters that may have different origins, African and Asians (Chinese and/or Japanese). The present study is the first to demonstrate the existence of genetic heterogeneity in a world wide distribution of 18 SNPs in AS3MT. 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19932709     DOI: 10.1016/j.taap.2009.11.020

Source DB:  PubMed          Journal:  Toxicol Appl Pharmacol        ISSN: 0041-008X            Impact factor:   4.219


  11 in total

Review 1.  Effects of arsenic toxicity beyond epigenetic modifications.

Authors:  Geir Bjørklund; Jan Aaseth; Salvatore Chirumbolo; Mauricio A Urbina; Riaz Uddin
Journal:  Environ Geochem Health       Date:  2017-05-08       Impact factor: 4.609

2.  Differential methylation of the arsenic (III) methyltransferase promoter according to arsenic exposure.

Authors:  Matthew O Gribble; Wan-Yee Tang; Yan Shang; Jonathan Pollak; Jason G Umans; Kevin A Francesconi; Walter Goessler; Ellen K Silbergeld; Eliseo Guallar; Shelley A Cole; M Daniele Fallin; Ana Navas-Acien
Journal:  Arch Toxicol       Date:  2013-10-24       Impact factor: 5.153

3.  SLCO1B1 variants and urine arsenic metabolites in the Strong Heart Family Study.

Authors:  Matthew O Gribble; Venkata Saroja Voruganti; Cheryl D Cropp; Kevin A Francesconi; Walter Goessler; Jason G Umans; Ellen K Silbergeld; Sandra L Laston; Karin Haack; Wen Hong Linda Kao; Margaret Daniele Fallin; Jean W Maccluer; Shelley A Cole; Ana Navas-Acien
Journal:  Toxicol Sci       Date:  2013-08-22       Impact factor: 4.849

Review 4.  Individual variations in inorganic arsenic metabolism associated with AS3MT genetic polymorphisms.

Authors:  Tetsuro Agusa; Junko Fujihara; Haruo Takeshita; Hisato Iwata
Journal:  Int J Mol Sci       Date:  2011-04-04       Impact factor: 5.923

5.  Arsenite selectively inhibits mouse bone marrow lymphoid progenitor cell development in vivo and in vitro and suppresses humoral immunity in vivo.

Authors:  Peace C Ezeh; Fredine T Lauer; Debra MacKenzie; Shea McClain; Ke Jian Liu; Laurie G Hudson; A Jay Gandolfi; Scott W Burchiel
Journal:  PLoS One       Date:  2014-04-08       Impact factor: 3.240

6.  Association of Cardiometabolic Genes with Arsenic Metabolism Biomarkers in American Indian Communities: The Strong Heart Family Study (SHFS).

Authors:  Poojitha Balakrishnan; Dhananjay Vaidya; Nora Franceschini; V Saroja Voruganti; Matthew O Gribble; Karin Haack; Sandra Laston; Jason G Umans; Kevin A Francesconi; Walter Goessler; Kari E North; Elisa Lee; Joseph Yracheta; Lyle G Best; Jean W MacCluer; Jack Kent; Shelley A Cole; Ana Navas-Acien
Journal:  Environ Health Perspect       Date:  2016-06-28       Impact factor: 9.031

7.  Frequency of M287T/AS3MT Single Nucleotide Polymorphism in an Iranian Population.

Authors:  Fatemeh Farhid; Fatemeh Nadali; Bahram Chahardouli; Saeed Mohammadi; Shahrbano Rostami; Kamran Alimoghaddam; Ardeshir Ghavamzadeh
Journal:  Int J Hematol Oncol Stem Cell Res       Date:  2017-01-01

8.  Relative miRNA and mRNA expression involved in arsenic methylation.

Authors:  Huirong Cheng; Pei Hu; Weihua Wen; Ling Liu
Journal:  PLoS One       Date:  2018-12-13       Impact factor: 3.240

Review 9.  Recent population genomic insights into the genetic basis of arsenic tolerance in humans: the difficulties of identifying positively selected loci in strongly bottlenecked populations.

Authors:  Mario Apata; Susanne P Pfeifer
Journal:  Heredity (Edinb)       Date:  2019-11-27       Impact factor: 3.821

10.  Cohort profile: health effects monitoring programme in Ndilǫ, Dettah and Yellowknife (YKHEMP).

Authors:  Hing Man Chan; Xue Feng Hu; Janet S Cheung; Rajendra Prasad Parajuli; Renata Rosol; Emmanuel Yumvihoze; Linna Williams; Asish Mohapatra
Journal:  BMJ Open       Date:  2020-09-28       Impact factor: 2.692

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