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MeSH:(Methylenetetrahydrofolate Reductase (NADPH2)/genetics)

1.Efficient synthesis of L-methionine by engineering the one carbon module of Escherichia coli.

Bo ZHANG ; Ying WANG ; Kun NIU ; Zhiqiang LIU ; Yuguo ZHENG

Chinese Journal of Biotechnology 2023;39(8):3302-3317

2.Association of small dense low-density lipoprotein cholesterol with H-type hypertension and MTHFR gene polymorphism.

Qing LI ; Xiao Lin SUN ; Bo SONG ; Cheng Xiu LYU ; Xin Qian FENG

Chinese Journal of Preventive Medicine 2022;56(12):1844-1849

3.Do methylenetetrahydrofolate dehydrogenase, cyclohydrolase, and formyltetrahydrofolate synthetase 1 polymorphisms modify changes in intelligence of school-age children in areas of endemic fluorosis?

Zichen FENG ; Ning AN ; Fangfang YU ; Jun MA ; Na LI ; Yuhui DU ; Meng GUO ; Kaihong XU ; Xiangbo HOU ; Zhiyuan LI ; Guoyu ZHOU ; Yue BA

Chinese Medical Journal 2022;135(15):1846-1854

4.Association of MTHFR gene C677T polymorphism with problem behavior and inheritance pattern among children with autism.

Shihao XU ; Shuang MEN ; Xulong WANG ; Fangfang ZHAN ; Xiangdong YUAN

Chinese Journal of Medical Genetics 2022;39(8):898-902

5.Association between MTHFR gene polymorphism and primary hypertension in children.

Hui WANG ; Yan-Yan LIU ; Yu ZHANG ; Xiao-Li CHEN ; Lin SHI

Chinese Journal of Contemporary Pediatrics 2022;24(5):579-584

6.Correlation between Serum Homocysteine Level, MTHFR Gene Polymorphism and Patients with Hematological Diseases Complicated with Coronary Heart Disease.

Ling ZHANG ; Xiao-Fei YUAN ; Qi LI ; Ling FAN ; Zhe CHEN ; Bin ZHANG ; Bing-Hua GAO

Journal of Experimental Hematology 2022;30(1):305-309

8.Methylenetrahydrofolate Reductase Gene C677T Polymorphism and Diabetic Retinopathy: a Meta-Analysis.

Chang SHEN ; Meng ZHAO ; Yun Yun LI ; Ning Pu LIU

Chinese Medical Sciences Journal 2020;35(1):71-84

9.Association Between Homocysteine Level and Methylenetetrahydrofolate Reductase Gene Polymorphisms in Type 2 Diabetes Accompanied by Dyslipidemia.

Ying YIN ; Rui LI ; Xiao Li LI ; Kun Rong WU ; Ling LI ; Yue Dong XU ; Lin LIAO ; Rui YANG ; Yan LI

Chinese Medical Sciences Journal 2020;35(1):85-91

10.Machine Learning Models for Genetic Risk Assessment of Infants with Non-syndromic Orofacial Cleft.

Shi-Jian ZHANG ; Peiqi MENG ; Jieni ZHANG ; Peizeng JIA ; Jiuxiang LIN ; Xiangfeng WANG ; Feng CHEN ; Xiaoxing WEI

Genomics, Proteomics & Bioinformatics 2018;16(5):354-364

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