1
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Shen Y, Gu Y, Tang Y, Shen H, Liu C. Geographical distribution of MTHFR C677T gene polymorphisms among the reproductive-age women in Chinese Han populations: based on migration. BMC Womens Health 2024; 24:407. [PMID: 39026333 PMCID: PMC11256367 DOI: 10.1186/s12905-024-03244-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 07/04/2024] [Indexed: 07/20/2024] Open
Abstract
BACKGROUND Methylenetetrahydrofolate reductase (MTHFR) is essential for the metabolism of folic acid and homocysteine. The MTHFR C677T polymorphism is associated with several disorders. Our study aims to explore the geographical distributions of the MTHFR C677T polymorphism of women in China and how migration affected the polymorphism in Suzhou. METHODS A total of 7188 women of reproductive age were recruited in Suzhou of the study. Subjects were classified according to their native places after data extraction. MTHFR C677T gene polymorphisms were detected by quantitative PCR with genomic DNA isolated from blood samples. RESULTS The frequencies of the 677T allele and 677TT genotype were higher in northern China than that in southern China and decreased in geographical gradients from north to south. The frequencies were considerably higher in the migrant population than that in the indigenous population of Suzhou. The migrant population have gradually changed the prevalence in Suzhou. CONCLUSIONS Our study suggested that the prevalence of MTHFR C677T polymorphisms among women varied across different geographical regions in Chinese Han populations. The 677T allele frequencies of the northern populations were significantly higher than those of the southern populations. The migrant population gradually changed the prevalence of the MTHFR C677T polymorphism in Suzhou.
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Affiliation(s)
- Yifen Shen
- Department of Central Lab, Suzhou Ninth People's Hospital, Ludang Road 2666, Suzhou, Jiangsu Province, 215200, China
| | - Yongchun Gu
- Department of Central Lab, Suzhou Ninth People's Hospital, Ludang Road 2666, Suzhou, Jiangsu Province, 215200, China
| | - Ying Tang
- Department of Central Lab, Suzhou Ninth People's Hospital, Ludang Road 2666, Suzhou, Jiangsu Province, 215200, China
| | - Hao Shen
- Department of Clinical Laboratory, Suzhou Ninth People's Hospital, Ludang Road 2666, Suzhou, Jiangsu Province, 215200, China.
| | - Chao Liu
- Department of Central Lab, Suzhou Ninth People's Hospital, Ludang Road 2666, Suzhou, Jiangsu Province, 215200, China.
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2
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Fryar-Williams S, Strobel J, Clements P. Molecular Mechanisms Provide a Landscape for Biomarker Selection for Schizophrenia and Schizoaffective Psychosis. Int J Mol Sci 2023; 24:15296. [PMID: 37894974 PMCID: PMC10607016 DOI: 10.3390/ijms242015296] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Revised: 10/07/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023] Open
Abstract
Research evaluating the role of the 5,10-methylenetetrahydrofolate reductase (MTHFR C677T) gene in schizophrenia has not yet provided an extended understanding of the proximal pathways contributing to the 5-10-methylenetetrahydrofolate reductase (MTHFR) enzyme's activity and the distal pathways being affected by its activity. This review investigates these pathways, describing mechanisms relevant to riboflavin availability, trace mineral interactions, and the 5-methyltetrahydrofolate (5-MTHF) product of the MTHFR enzyme. These factors remotely influence vitamin cofactor activation, histamine metabolism, catecholamine metabolism, serotonin metabolism, the oxidative stress response, DNA methylation, and nicotinamide synthesis. These biochemical components form a broad interactive landscape from which candidate markers can be drawn for research inquiry into schizophrenia and other forms of mental illness. Candidate markers drawn from this functional biochemical background have been found to have biomarker status with greater than 90% specificity and sensitivity for achieving diagnostic certainty in schizophrenia and schizoaffective psychosis. This has implications for achieving targeted treatments for serious mental illness.
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Affiliation(s)
- Stephanie Fryar-Williams
- Youth in Mind Research Institute, Unley Annexe, Mary Street, Unley, SA 5061, Australia
- Department of Nanoscale BioPhotonics, School of Biomedicine, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA 5000, Australia
| | - Jörg Strobel
- Department of Psychiatry, Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA 5000, Australia;
| | - Peter Clements
- Department of Paediatrics, Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA 5000, Australia;
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3
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Cheng S, Xu Z, Bian S, Chen X, Shi Y, Li Y, Duan Y, Liu Y, Lin J, Jiang Y, Jing J, Li Z, Wang Y, Meng X, Liu Y, Fang M, Jin X, Xu X, Wang J, Wang C, Li H, Liu S, Wang Y. The STROMICS genome study: deep whole-genome sequencing and analysis of 10K Chinese patients with ischemic stroke reveal complex genetic and phenotypic interplay. Cell Discov 2023; 9:75. [PMID: 37479695 PMCID: PMC10362040 DOI: 10.1038/s41421-023-00582-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 06/21/2023] [Indexed: 07/23/2023] Open
Abstract
Ischemic stroke is a leading cause of global mortality and long-term disability. However, there is a paucity of whole-genome sequencing studies on ischemic stroke, resulting in limited knowledge of the interplay between genomic and phenotypic variations among affected patients. Here, we outline the STROMICS design and present the first whole-genome analysis on ischemic stroke by deeply sequencing and analyzing 10,241 stroke patients from China. We identified 135.59 million variants, > 42% of which were novel. Notable disparities in allele frequency were observed between Chinese and other populations for 89 variants associated with stroke risk and 10 variants linked to response to stroke medications. We investigated the population structure of the participants, generating a map of genetic selection consisting of 31 adaptive signals. The adaption of the MTHFR rs1801133-G allele, which links to genetically evaluated VB9 (folate acid) in southern Chinese patients, suggests a gene-specific folate supplement strategy. Through genome-wide association analysis of 18 stroke-related traits, we discovered 10 novel genetic-phenotypic associations and extensive cross-trait pleiotropy at 6 lipid-trait loci of therapeutic relevance. Additionally, we found that the set of loss-of-function and cysteine-altering variants present in the causal gene NOTCH3 for the autosomal dominant stroke disorder CADASIL displayed a broad neuro-imaging spectrum. These findings deepen our understanding of the relationship between the population and individual genetic layout and clinical phenotype among stroke patients, and provide a foundation for future efforts to utilize human genetic knowledge to investigate mechanisms underlying ischemic stroke outcomes, discover novel therapeutic targets, and advance precision medicine.
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Affiliation(s)
- Si Cheng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Changping Laboratory, Beijing, China
- Clinical Center for Precision Medicine in Stroke, Capital Medical University, Beijing, China
- Center of excellence for Omics Research (CORe), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhe Xu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of excellence for Omics Research (CORe), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shengzhe Bian
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Xi Chen
- BGI-Tianjin, BGI-Shenzhen, Tianjin, China
| | - Yanfeng Shi
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of excellence for Omics Research (CORe), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yanran Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of excellence for Omics Research (CORe), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yunyun Duan
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yang Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of excellence for Omics Research (CORe), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jinxi Lin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yong Jiang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Tiantan Neuroimaging Center of Excellence, Beijing, China
| | - Zixiao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yaou Liu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | | | - Xin Jin
- BGI-Shenzhen, Shenzhen, Guangdong, China
| | - Xun Xu
- BGI-Shenzhen, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen, Guangdong, China
| | - Jian Wang
- BGI-Shenzhen, Shenzhen, Guangdong, China
- James D. Watson Institute of Genome Sciences, Hangzhou, Zhejiang, China
| | - Chaolong Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of excellence for Omics Research (CORe), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Siyang Liu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China.
- BGI-Shenzhen, Shenzhen, Guangdong, China.
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
- Changping Laboratory, Beijing, China.
- Clinical Center for Precision Medicine in Stroke, Capital Medical University, Beijing, China.
- Center of excellence for Omics Research (CORe), Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
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4
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Tekcan A, Cihangiroglu M, Capraz M, Capraz A, Yigit S, Nursal AF, Menekse E, Durmaz ZH, Dortok Demir H, Ozcelik B. Association of ACE ID, MTHFR C677T, and MIF-173GC variants with the clinical course of COVID-19 patients. NUCLEOSIDES, NUCLEOTIDES & NUCLEIC ACIDS 2023; 42:782-796. [PMID: 36973934 DOI: 10.1080/15257770.2023.2194341] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/15/2023] [Accepted: 03/15/2023] [Indexed: 03/29/2023]
Abstract
The course of coronavirus disease-2019 (COVID-19) differs from person to person. The relationship between the genetic variations of the host and the course of COVID-19 has been a matter of interest. In this study, we investigated whether Angiotensin-Converting Enzyme (ACE) ID, Methylenetetrahydrofolate Reductase (MTHFR) C677T, and Macrophage Migration Inhibitory Factor (MIF)-173GC variants are risk factors for the clinical course of COVID-19 disease in Turkish patients. One hundred COVID-19 patients were included in the study. The diagnosis of COVID-19 was made using Reverse Transcription Polymerase Chain Reaction (RT-PCR) and Chest Computed Tomography (CT). The patients were evaluated in 3 groups: intensive care, service, and outpatient treatment. ACE ID, MTHFR C677T, and MIF-173GC variants were genotyped by PCR-Restriction Fragment Length Polymorphism (RFLP) methods. When the genotype distribution between the groups was examined, it was found that the frequency of the ACE DD genotype and the D allele was higher in the intensive care group compared to the hospitalized and outpatient groups. MTHFR C677T CT genotype T allele and MIF-173GC, CC genotype C allele were more prevalent in the intensive care group compared to other groups. Patients with PCR-positive results had a higher MTHFR C677T C/C genotype and C allele. In CT-positive patients, the MTHFR C677T CT genotype and the MIF-173GC, G allele were more common. It is predicted that genetic predisposition may contribute to COVID-19 morbidity and mortality. Our results show that ACE ID, MTHFR C677T, and MIF-173GC variants affect the course of COVID-19 disease in the Turkish population.
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Affiliation(s)
- Akın Tekcan
- Faculty of Medicine, Department of Medical Biology, Amasya University, Amasya, Turkey
| | - Mustafa Cihangiroglu
- Faculty of Medicine, Department of Infectious Diseases, Amasya University, Amasya, Turkey
| | - Mustafa Capraz
- Faculty of Medicine, Department of Internal Medicine, Amasya University, Amasya, Turkey
| | - Aylin Capraz
- Faculty of Medicine, Department of Chest Diseases, Amasya University, Amasya, Turkey
| | - Serbülent Yigit
- Faculty of Veterinary Medicine, Department of Veterinary Genetics, Ondokuz Mayıs University, Samsun, Turkey
| | - Ayse Feyda Nursal
- Faculty of Medicine, Department of Medical Genetics, Hitit University, Corum, Turkey
| | - Elif Menekse
- Sabuncuoglu Serefeddin Education and Research Hospital, Biochemistry Clinic, Amasya, Turkey
| | - Zeynep Hülya Durmaz
- Sabuncuoglu Serefeddin Education and Research Hospital, Biochemistry Clinic, Amasya, Turkey
| | - Hatice Dortok Demir
- Faculty of Medicine, Department of Biochemistry, Amasya University, Amasya, Turkey
| | - Burak Ozcelik
- Sabuncuoglu Serefeddin Education and Research Hospital, Amasya, Turkey
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5
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Dermatological Manifestations in COVID-19: A Case Study of SARS-CoV-2 Infection in a Genetic Thrombophilic Patient with Mthfr Mutation. Pathogens 2023; 12:pathogens12030438. [PMID: 36986360 PMCID: PMC10058784 DOI: 10.3390/pathogens12030438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 12/23/2022] [Accepted: 01/18/2023] [Indexed: 03/16/2023] Open
Abstract
The present case study describes the dermatological manifestations of COVID-19 in a patient with genetic thrombophilia (MTHFR–C677T mutation) and the identification of a SARS-CoV-2 variant of interest (VOI). A female patient, 47 years old, unvaccinated, with thrombophilia, was diagnosed with COVID-19. She presented with urticarial and maculopapular eruptions from the seventh day of symptoms, which progressed to multiple lesions with dark centers (D-dimer value > 1450 ng/mL). The dermatological manifestations disappeared after 30 days, corroborating the reduction in D-dimer levels. Viral genome sequencing revealed infection by the VOI Zeta (P.2). Antibody testing, performed 30 days after the onset of symptoms, detected only IgG. The virus neutralization test showed the highest neutralizing titer for a P.2 strain, validating the genotypic identification. Lesions were suggested to be due to infection in skin cells causing a direct cytopathic effect or release of pro-inflammatory cytokines triggering erythematous and urticarial eruptions. In addition, vascular complications are also proposed to be due to the MTHFR mutation and increased D-dimer values. This case report is an alert about COVID-19 in patients with pre-existing vascular diseases, especially in unvaccinated patients, by VOI.
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6
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Романюк С, Тихоненко Т, Сіромолот А, Гузик М, Луговська Н, Галкін О, Кучмеровська Т, Колибо Д, Комісаренко С. РОЗРОБЛЕННЯ ЗАСОБУ ДЛЯ ПОКРАЩЕННЯ КОГНІТИВНИХ ФУНКЦІЙ ТА ЗНИЖЕННЯ РІВНЯ ГОМОЦИСТЕЇНУ. SCIENCE AND INNOVATION 2022. [DOI: 10.15407/scine18.01.066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Вступ. Гіпергомоцистеїнемія є небезпечним метаболічним порушенням, що призводить до виникнення низки захворювань.Проблематика. Нагальним завданням є розроблення препаратів, які здатні знижувати рівень гомоцистеїну, не спричиняючи побічних ефектів.Мета. Розробити дієтичну добавку, що при мінімальному вмісті компонентів, які здатні викликати побічні реакції, знижує рівень гомоцистеїну; а також дослідити, чи впливає розроблена добавка на когнітивні здібності тварин, та впровадити її у виробництво.Матеріали й методи. До складу розробленої дієтичної добавки «Альфакогнітин» включено вітаміни В6, В9, В12, С і холін. Моделювання експериментальної гіпергомоцистенемії у щурів проводили шляхом утримання тварин наL-метіоніновій дієті. Вміст гомоцистеїну у крові визначали за допомогою іонообмінної рідинно-колонної хроматографії з використанням автоматичного аналізатору амінокислот. Поведінкові реакції та когнітивні здібності щурів досліджували за допомогою поведінкових тестів «Відкрите поле», «Електрична стимуляція кінцівки» і «Соціальнавзаємодія». Роботи щодо впровадження у виробництво виконано за участі компанії ТОВ «Нутрімед» (Київ).Результати. Показано, що у тварин із гіпергомоцистеїнемією «Альфакогнітин» знижував рівень гомоцистеїну, підвищував когнітивні здібності, ефективність соціальної взаємодії та комунікабельність, а також нормалізував функціональні порушення пам’яті та здатності до навчання. Затверджено технічні умови виробництва дієтичної добавки,відпрацьовано пілотну технологію отримання її капсульованої форми та виготовлено дослідну партію.Висновки. «Альфакогнітин» може знижувати рівень гомоцистеїну, що дозволяє використовувати його з метою нормалізації функціонального стану серцево-судинної та нервової систем за гіпергомоцистеїнемії, а також для покращення когнітивних функцій, зокрема після захворювання на COVID-19.
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7
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Liu T, Momin M, Zhou H, Zheng Q, Fan F, Jia J, Liu M, Bao M, Li J, Huo Y, Liu J, Zhang Y, Mao X, Han X, Hu Z, Zeng C, Liu F, Zhang Y. Exome-Wide Association Study Identifies East Asian-Specific Missense Variant MTHFR C136T Influencing Homocysteine Levels in Chinese Populations RH: ExWAS of tHCY in a Chinese Population. Front Genet 2021; 12:717621. [PMID: 34707639 PMCID: PMC8542906 DOI: 10.3389/fgene.2021.717621] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 09/02/2021] [Indexed: 02/01/2023] Open
Abstract
Plasma total homocysteine (tHCY) is a known risk factor of a wide range of complex diseases. No genome scans for tHCY have been conducted in East Asian populations. Here, we conducted an exome-wide association study (ExWAS) for tHCY in 5,175 individuals of Chinese Han origin, followed by a replication study in 668 Chinese individuals. The ExWAS identified two loci, 1p36.22 (lead single-nucleotide polymorphism (SNP) rs1801133, MTHFR C677T) and 16q24.3 (rs1126464, DPEP1), showing exome-wide significant association with tHCY (p < 5E-7); and both loci have been previously associated with tHCY in non-East Asian populations. Both SNPs were replicated in the replication study (p < 0.05). Conditioning on the genotype of C677T and rs1126464, we identified a novel East Asian-specific missense variant rs138189536 (C136T) of MTHFR (p = 6.53E-10), which was also significant in the replication study (p = 9.8E-3). The C136T and C677T variants affect tHCY in a compound heterozygote manner, where compound heterozygote and homozygote genotype carriers had on average 43.4% increased tHCY than had other genotypes. The frequency of the homozygote C677T genotype showed an inverse-U-shaped geospatial pattern globally with a pronounced frequency in northern China, which coincided with the high prevalence of hyperhomocysteinemia (HHCY) in northern China. A logistic regression model of HHCY status considering sex, age, and the genotypes of the three identified variants reached an area under the receiver operating characteristic curve (AUC) value of 0.74 in an independent validation cohort. These genetic observations provide new insights into the presence of multiple causal mutations at the MTHFR locus, highlight the role of genetics in HHCY epidemiology among different populations, and provide candidate loci for future functional studies.
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Affiliation(s)
- Tianzi Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China
| | - Mohetaboer Momin
- Department of Cardiology, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China
| | - Huiyue Zhou
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China
| | - Qiwen Zheng
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China
| | - Fangfang Fan
- Department of Cardiology, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China
| | - Jia Jia
- Department of Cardiology, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China
| | - Mengyuan Liu
- Department of Cardiology, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China
| | - Minghui Bao
- Department of Cardiology, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China
| | - Jianping Li
- Department of Cardiology, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China
| | - Yong Huo
- Department of Cardiology, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China
| | - Jialin Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yaning Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xuemei Mao
- Beijing P4 Healthcare Institute, Beijing, China
| | - Xiao Han
- Beijing P4 Healthcare Institute, Beijing, China
| | - Zhiyuan Hu
- Beijing P4 Healthcare Institute, Beijing, China.,CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing, China.,School of Nanoscience and Technology, Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
| | - Changqing Zeng
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Fan Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yan Zhang
- Department of Cardiology, Peking University First Hospital, Beijing, China.,Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China
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8
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Zeng Y, Li FF, Yuan SQ, Tang HK, Zhou JH, He QY, Baker JS, Dong YH, Yang YD. Prevalence of Hyperhomocysteinemia in China: An Updated Meta-Analysis. BIOLOGY 2021; 10:biology10100959. [PMID: 34681058 PMCID: PMC8533293 DOI: 10.3390/biology10100959] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 09/13/2021] [Accepted: 09/23/2021] [Indexed: 12/02/2022]
Abstract
Simple Summary Hyperhomocysteinemia has been defined as an elevated serum concentration of homocysteine exceeding 15 μmol/L and has been proven to play an important role in the pathogenesis of cerebrovascular disease. The prevalence of hyperhomocysteinemia in China has been outlined in a previous meta-analysis. Considering the key role of homocysteine in the process of vascular injury, more studies have been conducted to prevent hyperhomocysteinemia by nutritional supplements such as folic acid or other treatments. Additionally, studies have shown that the prevalence of hyperhomocysteinemia increases over time; therefore, it was necessary to provide an update from the previous meta-analysis on homocysteine status in China. This was needed to understand the prevalence, the trend in changes over time, and its determinants. The results highlight that the prevalence of hyperhomocysteinemia is increasing in China, especially among the elderly, men, and residents in the north, inland areas, and rural areas of China. Abstract We conducted a meta-analysis to systematically assess the prevalence of hyperhomocysteinemia (HHcy) in China, its change over time, and its determinants. Literature searches were conducted using English databases (PubMed, Embase, and Web of Science) and Chinese databases (CNKI, CBM, VIP, and Wanfang). The time ranges were from Jan 2014 to Mar 2021 in China. We adopted the random effects model to estimate the pooled positive rates of HHcy and corresponding 95% confidence intervals (95% CI). To find the sources of heterogeneity, we performed subgroup analysis and meta-regression. A total of 29 related articles were identified involving 338,660 participants with 128,147 HHcy cases. The estimated prevalence of HHcy in China was 37.2% (95% CI: 32.6–41.8%, I2 = 99.8%, p for heterogeneity < 0.001). The trend of HHcy prevalence was gradually upward over time, with increases during 2015–2016 (comparison to 2013–2014, p < 0.001), but steady between 2015–2016 and 2017–2018. Subgroup analysis showed that the prevalence was higher in the elderly over 55 years old, males, and residents in the north, inland, and rural China (for each comparison, p < 0.001). Meta-regression analysis revealed that age and area of study contributed to 42.3% of the heterogeneity between studies. The current meta-analysis provides strong evidence that the prevalence of HHcy is increasing in China, and varies substantially across different ages, genders, and geographic distribution. Accordingly, high-risk population groups should be focused on, and public health policies and strategies should be carried out to prevent and control HHcy in China.
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Affiliation(s)
- Yuan Zeng
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha 410081, China; (Y.Z.); (S.-Q.Y.); (H.-K.T.); (J.-H.Z.); (Q.-Y.H.)
| | - Fei-Fei Li
- Centre for Health and Exercise Science Research, Hong Kong Baptist University, Kowloon Tong, Hong Kong 999077, China;
- Centre for Health and Exercise Science Research, Department of Sport, Physical Education and Health, Hong Kong Baptist University, Kowloon Tong, Hong Kong 999077, China
| | - Shu-Qian Yuan
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha 410081, China; (Y.Z.); (S.-Q.Y.); (H.-K.T.); (J.-H.Z.); (Q.-Y.H.)
| | - Hao-Kai Tang
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha 410081, China; (Y.Z.); (S.-Q.Y.); (H.-K.T.); (J.-H.Z.); (Q.-Y.H.)
| | - Jun-Hua Zhou
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha 410081, China; (Y.Z.); (S.-Q.Y.); (H.-K.T.); (J.-H.Z.); (Q.-Y.H.)
| | - Quan-Yuan He
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha 410081, China; (Y.Z.); (S.-Q.Y.); (H.-K.T.); (J.-H.Z.); (Q.-Y.H.)
| | - Julien S. Baker
- Centre for Health and Exercise Science Research, Hong Kong Baptist University, Kowloon Tong, Hong Kong 999077, China;
- Centre for Health and Exercise Science Research, Department of Sport, Physical Education and Health, Hong Kong Baptist University, Kowloon Tong, Hong Kong 999077, China
- Correspondence: (Y.-D.Y.); (J.S.B.); (Y.-H.D.)
| | - Yan-Hui Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University Health Science Center, Beijing 100191, China
- Correspondence: (Y.-D.Y.); (J.S.B.); (Y.-H.D.)
| | - Yi-De Yang
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha 410081, China; (Y.Z.); (S.-Q.Y.); (H.-K.T.); (J.-H.Z.); (Q.-Y.H.)
- Correspondence: (Y.-D.Y.); (J.S.B.); (Y.-H.D.)
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Ponti G, Pastorino L, Manfredini M, Ozben T, Oliva G, Kaleci S, Iannella R, Tomasi A. COVID-19 spreading across world correlates with C677T allele of the methylenetetrahydrofolate reductase (MTHFR) gene prevalence. J Clin Lab Anal 2021; 35:e23798. [PMID: 34061414 PMCID: PMC8209953 DOI: 10.1002/jcla.23798] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 03/15/2021] [Accepted: 03/31/2021] [Indexed: 11/30/2022] Open
Abstract
Background Homocysteine assessment has been proposed as a potential predictive biomarker for the severity of COVID‐19 infection. The purpose of this review was to analyze the correlation between the prevalence of MTHFR C677 T gene polymorphism and COVID‐19 incidence and mortality worldwide. Methods Data regarding MTHFR C677 T gene mutation were obtained from the interrogation of the Genome Aggregation Database (genomAD), which is publicly available from the web“https://gnomad.broadinstitute.org.” COVID‐19 cases, including prevalence and mortality, were obtained from“https://www.worldometers.info/coronavirus” 27 August 2020. Results There is a clear trend toward the worldwide prevalence of MTHFR 677 T and COVID‐19 incidence and mortality. The prevalence of MTHFR677 T allele in the Latino population, and the incidence and mortality for COVID‐19 was higher for this ethnic group than that reported for most other populations globally. Statistical analysis showed a relatively strong correlation between C677 T and death from coronavirus. Conclusions Genetic polymorphism of MTHFR C677 T may modulate the incidence and severity of COVID‐19 pandemic infection.
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Affiliation(s)
- Giovanni Ponti
- Division of Clinical Pathology, Department of Surgical, Medical, Dental and Morphological Sciences with Interest in Transplant, Oncological and Regenerative Medicine, University of Modena and Reggio Emilia, Modena, Italy
| | | | - Marco Manfredini
- Dermatology Unit, Department of Surgical, Medical, Dental and Morphological Sciences with Interest in Transplant, Oncological and Regenerative Medicine, University of Modena and Reggio Emilia, Modena, Italy
| | - Tomris Ozben
- Department of Clinical Biochemistry, Medical Faculty, Akdeniz University, Antalya, Turkey
| | - Gabriella Oliva
- Internal Medicine, Ospedale del Mare, Asl Napoli1, Naples, Italy
| | - Shaniko Kaleci
- Clinical and experimental medicine (CEM), Department of Surgical, Medical, Dental and Morphological Sciences with Interest in Transplant, Oncological and Regenerative Medicine, University of Modena and Reggio Emilia, Modena, Italy
| | - Raffaele Iannella
- Division of Clinical Pathology, Department of Surgical, Medical, Dental and Morphological Sciences with Interest in Transplant, Oncological and Regenerative Medicine, University of Modena and Reggio Emilia, Modena, Italy
| | - Aldo Tomasi
- Division of Clinical Pathology, Department of Surgical, Medical, Dental and Morphological Sciences with Interest in Transplant, Oncological and Regenerative Medicine, University of Modena and Reggio Emilia, Modena, Italy
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10
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Reyes L, Godfrey D, Ming LJ, MacLean C, Gonzalez FJ, Madrigal L. The distribution in native populations from Mexico and Central America of the C677T variant in the MTHFR gene. Am J Hum Biol 2021; 33:e23567. [PMID: 33458918 DOI: 10.1002/ajhb.23567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 12/22/2020] [Accepted: 12/24/2020] [Indexed: 11/11/2022] Open
Abstract
OBJECTIVES To explore evolutionary hypotheses for the high frequencies of a substitution in the methylenetetrahydrofolate reductase (MTHFR) gene, in Mexican and Central American Indigenous populations. MATERIALS AND METHODS We obtained allele frequencies for the C677T variant in the MTHFR gene and ecological information for 37 indigenous samples from Mexico and Central America. We calculated Hardy-Weinberg equilibrium and computed Fst statistics. We computed correlations between the samples' allele frequencies and ecological and geochemical variables. RESULTS Many of the samples have extremely high frequencies of the T allele ( q ¯ = 0.62, median = 0.66). In this region, the frequency of the T allele decreases from Southeast to Northwest and is significantly correlated with longitude, latitude, altitude, and insolation. CONCLUSIONS The native people of Central America and Mexico evolved high frequencies of an allele which has been shown to produce deleterious clinical effects including neural tube effects, cardiovascular events, and cancer. This allele has a clinal distribution in the region, perhaps associated with solar irradiation. As (Contreras-Cubas et al., 2016) noted, the traditional diet of these populations, which is high in folate, has likely mitigated the negative effect of the allele. It is of primary importance that their rights to their homeland and traditional diets be respected. It is a matter of Public Health to investigate whether this allele is a factor in the current wave of cardiovascular diseases affecting the majority population of this region, since it descends from the Native peoples and the Mediterranean population, which also has high frequencies of the allele.
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Affiliation(s)
- Lucio Reyes
- Department of Anthropology, University of South Florida, Tampa, Florida, USA
| | - David Godfrey
- Department of Anthropology, University of South Florida, Tampa, Florida, USA
| | - Li-June Ming
- Department of Chemistry, University of South Florida, Tampa, Florida, USA
| | - Caroline MacLean
- Department of Anthropology, University of South Florida, Tampa, Florida, USA
| | | | - Lorena Madrigal
- Department of Anthropology, University of South Florida, Tampa, Florida, USA
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11
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Sedley L. Advances in Nutritional Epigenetics-A Fresh Perspective for an Old Idea. Lessons Learned, Limitations, and Future Directions. Epigenet Insights 2020; 13:2516865720981924. [PMID: 33415317 PMCID: PMC7750768 DOI: 10.1177/2516865720981924] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Accepted: 11/25/2020] [Indexed: 12/11/2022] Open
Abstract
Nutritional epigenetics is a rapidly expanding field of research, and the natural modulation of the genome is a non-invasive, sustainable, and personalized alternative to gene-editing for chronic disease management. Genetic differences and epigenetic inflexibility resulting in abnormal gene expression, differential or aberrant methylation patterns account for the vast majority of diseases. The expanding understanding of biological evolution and the environmental influence on epigenetics and natural selection requires relearning of once thought to be well-understood concepts. This research explores the potential for natural modulation by the less understood epigenetic modifications such as ubiquitination, nitrosylation, glycosylation, phosphorylation, and serotonylation concluding that the under-appreciated acetylation and mitochondrial dependant downstream epigenetic post-translational modifications may be the pinnacle of the epigenomic hierarchy, essential for optimal health, including sustainable cellular energy production. With an emphasis on lessons learned, this conceptional exploration provides a fresh perspective on methylation, demonstrating how increases in environmental methane drive an evolutionary down regulation of endogenous methyl groups synthesis and demonstrates how epigenetic mechanisms are cell-specific, making supplementation with methyl cofactors throughout differentiation unpredictable. Interference with the epigenomic hierarchy may result in epigenetic inflexibility, symptom relief and disease concomitantly and may be responsible for the increased incidence of neurological disease such as autism spectrum disorder.
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Affiliation(s)
- Lynda Sedley
- Bachelor of Health Science (Nutritional Medicine),
GC Biomedical Science (Genomics), The Research and Educational Institute of
Environmental and Nutritional Epigenetics, Queensland, Australia
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12
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Samson KLI, Loh SP, Lee SS, Sulistyoningrum DC, Khor GL, Shariff ZBM, Ismai IZ, Yelland LN, Leemaqz S, Makrides M, Hutcheon JA, Roche ML, Karakochuk CD, Green TJ. Weekly iron-folic acid supplements containing 2.8 mg folic acid are associated with a lower risk of neural tube defects than the current practice of 0.4 mg: a randomised controlled trial in Malaysia. BMJ Glob Health 2020; 5:e003897. [PMID: 33272946 PMCID: PMC7716666 DOI: 10.1136/bmjgh-2020-003897] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 11/05/2020] [Accepted: 11/11/2020] [Indexed: 01/17/2023] Open
Abstract
INTRODUCTION Weekly iron-folic acid (IFA) supplements are recommended for all menstruating women in countries where anaemia prevalence is >20%. Anaemia caused by folate deficiency is low worldwide, and the need to include folic acid is in question. Including folic acid might reduce the risk of a neural tube defect (NTD) should a woman become pregnant. Most weekly supplements contain 0.4 mg folic acid; however, WHO recommends 2.8 mg because it is seven times the daily dose effective in reducing NTDs. There is a reluctance to switch to supplements containing 2.8 mg of folic acid because of a lack of evidence that this dose would prevent NTDs. Our aim was to investigate the effect of two doses of folic acid, compared with placebo, on red blood cell (RBC) folate, a biomarker of NTD risk. METHODS We conducted a three-arm double-blind efficacy trial in Malaysia. Non-pregnant women (n=331) were randomised to receive 60 mg iron and either 0, 0.4, or 2.8 mg folic acid once weekly for 16 weeks. RESULTS At 16 weeks, women receiving 0.4 mg and 2.8 mg folic acid per week had a higher mean RBC folate than those receiving 0 mg (mean difference (95% CI) 84 (54 to 113) and 355 (316 to 394) nmol/L, respectively). Women receiving 2.8 mg folic acid had a 271 (234 to 309) nmol/L greater mean RBC folate than those receiving 0.4 mg. Moreover, women in the 2.8 mg group were seven times (RR 7.3, 95% CI 3.9 to 13.7; p<0.0001) more likely to achieve an RBC folate >748 nmol/L, a concentration associated with a low risk of NTD, compared with the 0.4 mg group. CONCLUSION Weekly IFA supplements containing 2.8 mg folic acid increases RBC folate more than those containing 0.4 mg. Increased availability and access to the 2.8 mg formulation is needed. TRAIL REGISTRATION NUMBER This trial is registered with the Australian New Zealand Clinical Trial Registry (ACTRN12619000818134).
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Affiliation(s)
- Kaitlyn L I Samson
- Food, Nutrition, and Health, The University of British Columbia, Vancouver, British Columbia, Canada
- Healthy Starts, British Columbia Children's Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Su Peng Loh
- Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - Siew Siew Lee
- Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - Dian C Sulistyoningrum
- SAHMRI Women and Kids, South Australia Health and Medical Research Institute, Adelaide, South Australia, Australia
- School of Medicine, The University of Adelaide, Adelaide, South Australia, Australia
| | - Geok Lin Khor
- Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | | | - Irmi Zarina Ismai
- Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - Lisa N Yelland
- SAHMRI Women and Kids, South Australia Health and Medical Research Institute, Adelaide, South Australia, Australia
- School of Public Health, The University of Adelaide, Adelaide, South Australia, Australia
| | - Shalem Leemaqz
- SAHMRI Women and Kids, South Australia Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Maria Makrides
- SAHMRI Women and Kids, South Australia Health and Medical Research Institute, Adelaide, South Australia, Australia
- School of Medicine, The University of Adelaide, Adelaide, South Australia, Australia
| | - Jennifer A Hutcheon
- Healthy Starts, British Columbia Children's Hospital Research Institute, Vancouver, British Columbia, Canada
- Obstetrics and Gynaecology, The University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Crystal D Karakochuk
- Food, Nutrition, and Health, The University of British Columbia, Vancouver, British Columbia, Canada
- Healthy Starts, British Columbia Children's Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Timothy J Green
- SAHMRI Women and Kids, South Australia Health and Medical Research Institute, Adelaide, South Australia, Australia
- School of Medicine, The University of Adelaide, Adelaide, South Australia, Australia
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13
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Life-threatening course in coronavirus disease 2019 (COVID-19): Is there a link to methylenetetrahydrofolic acid reductase (MTHFR) polymorphism and hyperhomocysteinemia? Med Hypotheses 2020; 144:110234. [PMID: 33254541 PMCID: PMC7467063 DOI: 10.1016/j.mehy.2020.110234] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Revised: 07/31/2020] [Accepted: 08/28/2020] [Indexed: 12/26/2022]
Abstract
As the current COVID-19 pandemic develops and epidemiological data reveals differences in geographical spread as well as risk factors for developing a severe course of illness, hypotheses regarding possible underlying mechanisms need to be developed and tested. In our hypothesis, we explore the rational for a role of MTHFR polymorphism C677T as a possible explanation for differences in geographical and gender distribution in disease severity. We also discuss the role of the resulting hyper-homocysteinemia, its interaction with the C677T polymorphism and its influence on immune state as well as risk factors for severe disease. Finally, we consider possible dietary ways to influence the underlying pathomechanisms prophylactically and supportively.
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14
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Du Z, Ma L, Qu H, Chen W, Zhang B, Lu X, Zhai W, Sheng X, Sun Y, Li W, Lei M, Qi Q, Yuan N, Shi S, Zeng J, Wang J, Yang Y, Liu Q, Hong Y, Dong L, Zhang Z, Zou D, Wang Y, Song S, Liu F, Fang X, Chen H, Liu X, Xiao J, Zeng C. Whole Genome Analyses of Chinese Population and De Novo Assembly of A Northern Han Genome. GENOMICS PROTEOMICS & BIOINFORMATICS 2019; 17:229-247. [PMID: 31494266 PMCID: PMC6818495 DOI: 10.1016/j.gpb.2019.07.002] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Revised: 07/07/2019] [Accepted: 08/07/2019] [Indexed: 12/20/2022]
Abstract
To unravel the genetic mechanisms of disease and physiological traits, it requires comprehensive sequencing analysis of large sample size in Chinese populations. Here, we report the primary results of the Chinese Academy of Sciences Precision Medicine Initiative (CASPMI) project launched by the Chinese Academy of Sciences, including the de novo assembly of a northern Han reference genome (NH1.0) and whole genome analyses of 597 healthy people coming from most areas in China. Given the two existing reference genomes for Han Chinese (YH and HX1) were both from the south, we constructed NH1.0, a new reference genome from a northern individual, by combining the sequencing strategies of PacBio, 10× Genomics, and Bionano mapping. Using this integrated approach, we obtained an N50 scaffold size of 46.63 Mb for the NH1.0 genome and performed a comparative genome analysis of NH1.0 with YH and HX1. In order to generate a genomic variation map of Chinese populations, we performed the whole-genome sequencing of 597 participants and identified 24.85 million (M) single nucleotide variants (SNVs), 3.85 M small indels, and 106,382 structural variations. In the association analysis with collected phenotypes, we found that the T allele of rs1549293 in KAT8 significantly correlated with the waist circumference in northern Han males. Moreover, significant genetic diversity in MTHFR, TCN2, FADS1, and FADS2, which associate with circulating folate, vitamin B12, or lipid metabolism, was observed between northerners and southerners. Especially, for the homocysteine-increasing allele of rs1801133 (MTHFR 677T), we hypothesize that there exists a "comfort" zone for a high frequency of 677T between latitudes of 35-45 degree North. Taken together, our results provide a high-quality northern Han reference genome and novel population-specific data sets of genetic variants for use in the personalized and precision medicine.
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Affiliation(s)
- Zhenglin Du
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Liang Ma
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Hongzhu Qu
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Wei Chen
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Bing Zhang
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Xi Lu
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Weibo Zhai
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Xin Sheng
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Yongqiao Sun
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Wenjie Li
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Meng Lei
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Qiuhui Qi
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Na Yuan
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Shuo Shi
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Jingyao Zeng
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Jinyue Wang
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Yadong Yang
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Qi Liu
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Yaqiang Hong
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Lili Dong
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhewen Zhang
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Dong Zou
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Yanqing Wang
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Shuhui Song
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Fan Liu
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiangdong Fang
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hua Chen
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xin Liu
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jingfa Xiao
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Changqing Zeng
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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Chiang CWK, Mangul S, Robles C, Sankararaman S. A Comprehensive Map of Genetic Variation in the World's Largest Ethnic Group-Han Chinese. Mol Biol Evol 2018; 35:2736-2750. [PMID: 30169787 PMCID: PMC6693441 DOI: 10.1093/molbev/msy170] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
As are most non-European populations, the Han Chinese are relatively understudied in population and medical genetics studies. From low-coverage whole-genome sequencing of 11,670 Han Chinese women we present a catalog of 25,057,223 variants, including 548,401 novel variants that are seen at least 10 times in our data set. Individuals from this data set came from 24 out of 33 administrative divisions across China (including 19 provinces, 4 municipalities, and 1 autonomous region), thus allowing us to study population structure, genetic ancestry, and local adaptation in Han Chinese. We identified previously unrecognized population structure along the East-West axis of China, demonstrated a general pattern of isolation-by-distance among Han Chinese, and reported unique regional signals of admixture, such as European influences among the Northwestern provinces of China. Furthermore, we identified a number of highly differentiated, putatively adaptive, loci (e.g., MTHFR, ADH7, and FADS, among others) that may be driven by immune response, climate, and diet in the Han Chinese. Finally, we have made available allele frequency estimates stratified by administrative divisions across China in the Geography of Genetic Variant browser for the broader community. By leveraging the largest currently available genetic data set for Han Chinese, we have gained insights into the history and population structure of the world's largest ethnic group.
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Affiliation(s)
- Charleston W K Chiang
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA
| | - Serghei Mangul
- Department of Computer Science, University of California Los Angeles, Los Angeles, CA
- Institute for Quantitative and Computational Bioscience, University of California Los Angeles, Los Angeles, CA
| | - Christopher Robles
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Sriram Sankararaman
- Department of Computer Science, University of California Los Angeles, Los Angeles, CA
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
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The Vitamin D⁻Folate Hypothesis as an Evolutionary Model for Skin Pigmentation: An Update and Integration of Current Ideas. Nutrients 2018; 10:nu10050554. [PMID: 29710859 PMCID: PMC5986434 DOI: 10.3390/nu10050554] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Revised: 04/27/2018] [Accepted: 04/27/2018] [Indexed: 12/24/2022] Open
Abstract
Vitamin D is unique in being generated in our skin following ultraviolet radiation (UVR) exposure. Ongoing research into vitamin D must therefore always consider the influence of UVR on vitamin D processes. The close relationship between vitamin D and UVR forms the basis of the “vitamin D–folate hypothesis”, a popular theory for why human skin colour has evolved as an apparent adaption to UVR environments. Vitamin D and folate have disparate sensitivities to UVR; whilst vitamin D may be synthesised following UVR exposure, folate may be degraded. The vitamin D–folate hypothesis proposes that skin pigmentation has evolved as a balancing mechanism, maintaining levels of these vitamins. There are several alternative theories that counter the vitamin D–folate hypothesis. However, there is significant overlap between these theories and the now known actions of vitamin D and folate in the skin. The focus of this review is to present an update on the vitamin D–folate hypothesis by integrating these current theories and discussing new evidence that supports associations between vitamin D and folate genetics, UVR, and skin pigmentation. In light of recent human migrations and seasonality in disease, the need for ongoing research into potential UVR-responsive processes within the body is also discussed.
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17
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Lucock M, Jones P, Martin C, Yates Z, Veysey M, Furst J, Beckett E. Photobiology of vitamins. Nutr Rev 2018; 76:512-525. [DOI: 10.1093/nutrit/nuy013] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Affiliation(s)
- Mark Lucock
- School of Environmental & Life Sciences, University of Newcastle, New South Wales, Australia
| | - Patrice Jones
- School of Environmental & Life Sciences, University of Newcastle, New South Wales, Australia
| | - Charlotte Martin
- School of Environmental & Life Sciences, University of Newcastle, New South Wales, Australia
| | - Zoe Yates
- School of Biomedical Sciences & Pharmacy, University of Newcastle, New South Wales, Australia
| | - Martin Veysey
- Hull-York Medical School, University of York, Heslington, York, United Kingdom
| | - John Furst
- School of Mathematical & Physical Sciences, University of Newcastle, Ourimbah, New South Wales, Australia
| | - Emma Beckett
- School of Environmental & Life Sciences, University of Newcastle, New South Wales, Australia
- School of Medicine & Public Health, University of Newcastle, New South Wales, Australia
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18
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Jones P, Lucock M, Veysey M, Jablonski N, Chaplin G, Beckett E. Frequency of folate-related polymorphisms varies by skin pigmentation. Am J Hum Biol 2017; 30. [DOI: 10.1002/ajhb.23079] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Revised: 09/27/2017] [Accepted: 10/29/2017] [Indexed: 12/12/2022] Open
Affiliation(s)
- Patrice Jones
- School of Environmental & Life Sciences, University of Newcastle; Ourimbah NSW Australia
| | - Mark Lucock
- School of Environmental & Life Sciences, University of Newcastle; Ourimbah NSW Australia
| | - Martin Veysey
- Hull-York Medical School; University of York; Heslington York UK
| | - Nina Jablonski
- Anthropology Department; The Pennsylvania State University; Pennsylvania
| | - George Chaplin
- Anthropology Department; The Pennsylvania State University; Pennsylvania
| | - Emma Beckett
- School of Environmental & Life Sciences, University of Newcastle; Ourimbah NSW Australia
- School of Medicine and Public Health; University of Newcastle; Ourimbah NSW Australia
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19
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A missense mutation in TCN2 is associated with decreased risk for congenital heart defects and may increase cellular uptake of vitamin B12 via Megalin. Oncotarget 2017; 8:55216-55229. [PMID: 28903415 PMCID: PMC5589654 DOI: 10.18632/oncotarget.19377] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2016] [Accepted: 06/29/2017] [Indexed: 12/05/2022] Open
Abstract
Deregulation of folate and vitamin B12 (VB12) metabolism contributes to the risk of congenital heart defects (CHDs). Transcobalamin (TCN2) is essential for transporting VB12 from blood to cells as TCN2-bound VB12 (holo-TC) is the only form for somatic cellular uptake. In this study, we performed an association study between common polymorphisms in 46 one carbon metabolism genes and CHD in 412 CHDs and 213 controls. Only two significant association signals in coding regions were identified: FTCD c.1470C>T & TCN2 c.230A>T. The only missense mutation, TCN2 c.230A>T, was further validated in 412 CHDs and 1177 controls. TCN2 c.230T is significantly associated with reduced CHD risk in North Chinese (odds ratio = 0.67, P = 4.62e-05), compared with the 230A allele. Interestingly, the mean level of plasma holo-TC in women with the TA genotype was 1.77-fold higher than that in women with the AA genotype. Further analysis suggested that c.230A>T enhanced the cellular uptake of holo-TC via the LRP2 receptor. Our results determined that a functional polymorphism in TCN2 contributes to the prevalence of CHDs. TCN2 c.230A>T is significantly associated with a reduced CHD risk, likely due to TCN2 c.230T improving the interaction between holo-TC and its LRP2 receptor.
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20
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Fan S, Yang B, Zhi X, Wang Y, Zheng Q, Sun G. Combined genotype and haplotype distributions of MTHFR C677T and A1298C polymorphisms: A cross-sectional descriptive study of 13,473 Chinese adult women. Medicine (Baltimore) 2016; 95:e5355. [PMID: 27902594 PMCID: PMC5134799 DOI: 10.1097/md.0000000000005355] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Methylenetetrahydrofolate reductase (MTHFR) C677T and A1298C polymorphisms are, independently and/or in combination, associated with many disorders. However, data on the combined genotype and haplotype distributions of the 2 polymorphisms in Chinese population were limited.We recruited 13,473 adult women from 9 Chinese provinces, collected buccal cell samples, and determined genotypes, to estimate the combined genotype and haplotype distributions of the MTHFR C677T and A1298C polymorphisms.In the total sample, the 6 common combined genotypes were CT/AA (29.5%), TT/AA (21.9%), CC/AA (15.4%), CC/AC (14.9%), CT/AC (13.7%), and CC/CC (3.4%); the 3 frequent haplotypes were 677T-1298A (43.6%), 677C-1298A (37.9%), and 677C-1298C (17.6%). Importantly, we observed that there were 51 (0.4%) individuals with the CT/CC genotype, 92 (0.7%) with the TT/AC genotype, 17 (0.1%) with the TT/CC genotype, and that the frequency of the 677T-1298C haplotype was 0.9%. In addition, the prevalence of some combined genotypes and haplotypes varied among populations residing in different areas and even showed apparent geographical gradients. Further linkage disequilibrium analysis showed that the D' and r values were 0.883 and 0.143, respectively.In summary, the findings of our study provide further strong evidence that the MTHFR C677T and A1298C polymorphisms are usually in trans and occasionally in cis configurations. The frequencies of mutant genotype combinations were relatively higher in Chinese population than other populations, and showed geographical variations. These baseline data would be useful for future related studies and for developing health management programs.
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Affiliation(s)
- Shujun Fan
- Research Center of Environment and Non-Communicable Disease, School of Public Health, China Medical University, Shenyang
| | - Boyi Yang
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou
| | - Xueyuan Zhi
- Research Center of Environment and Non-Communicable Disease, School of Public Health, China Medical University, Shenyang
| | - Yanxun Wang
- Division of Molecular Preventive Medicine, Shanghai Institute of Targeted Therapy and Molecular Medicine, Shanghai, China
| | - Quanmei Zheng
- Research Center of Environment and Non-Communicable Disease, School of Public Health, China Medical University, Shenyang
| | - Guifan Sun
- Research Center of Environment and Non-Communicable Disease, School of Public Health, China Medical University, Shenyang
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21
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Lucock M, Beckett E, Martin C, Jones P, Furst J, Yates Z, Jablonski NG, Chaplin G, Veysey M. UV‐associated decline in systemic folate: implications for human nutrigenetics, health, and evolutionary processes. Am J Hum Biol 2016; 29. [DOI: 10.1002/ajhb.22929] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Revised: 07/13/2016] [Accepted: 09/25/2016] [Indexed: 12/15/2022] Open
Affiliation(s)
- Mark Lucock
- School of Environmental and Life SciencesUniversity of NewcastlePO Box 127, Brush RdOurimbah NSW2258 Australia
| | - Emma Beckett
- School of Environmental and Life SciencesUniversity of NewcastlePO Box 127, Brush RdOurimbah NSW2258 Australia
| | - Charlotte Martin
- School of Environmental and Life SciencesUniversity of NewcastlePO Box 127, Brush RdOurimbah NSW2258 Australia
| | - Patrice Jones
- School of Environmental and Life SciencesUniversity of NewcastlePO Box 127, Brush RdOurimbah NSW2258 Australia
| | - John Furst
- School of Maths and Physical SciencesUniversity of NewcastlePO Box 127, Brush RdOurimbah NSW2258 Australia
| | - Zoe Yates
- School of Biomedical Sciences and PharmacyUniversity of NewcastlePO Box 127, Brush RdOurimbah NSW2258 Australia
| | - Nina G. Jablonski
- Anthropology DepartmentThe Pennsylvania State University409 Carpenter BuildingUniversity Park Pennsylvania16802
| | - George Chaplin
- Anthropology DepartmentThe Pennsylvania State University409 Carpenter BuildingUniversity Park Pennsylvania16802
| | - Martin Veysey
- School of Medicine and Public Health, University of Newcastle, NSW, 2308, Australia and, Central Coast Local Health DistrictTeaching and Research Unit, Gosford HospitalGosford NSW2250PO Box 361 Australia
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22
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Hotoleanu C. Genetic Risk Factors in Venous Thromboembolism. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2016; 906:253-272. [PMID: 27638626 DOI: 10.1007/5584_2016_120] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Genetic risk factors predispose to thrombophilia and play the most important etiopathogenic role in venous thromboembolism (VTE) in people younger than 50 years old. At least one inherited risk factor could be found in about half of the cases with a first episode of idiopathic VTE.Roughly, genetic risk factors are classified into two main categories: loss of function mutations (such as deficiencies of antithrombin, protein C, protein S) and gain of function mutations, (such as prothrombin mutation G20210A, factor V Leiden). A revolutionary contribution to the genetic background of VTE was brought by the achievements of the genome-wide association studies which analyze the association of a huge number of polymorphisms in large sample size.Hereditary thrombophilia testing should be done only in selected cases. The detection of hereditary thrombophilia has impact on the management of the anticoagulation in children with purpura fulminans, pregnant women at risk of VTE and may be useful in the assessment of the risk for recurrent thrombosis in patients presenting an episode of VTE at a young age (<40 years) and in cases with positive family history regarding thrombosis.
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Affiliation(s)
- Cristina Hotoleanu
- Department 5, Iuliu Hatieganu University of Medicine and Pharmacy, 8, Victor Babes street, 400012, Cluj-Napoca, Romania.
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23
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Karaca S, Cesuroglu T, Karaca M, Erge S, Polimanti R. Genetic diversity of disease-associated loci in Turkish population. J Hum Genet 2015; 60:193-8. [PMID: 25716910 DOI: 10.1038/jhg.2015.8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2014] [Revised: 12/18/2014] [Accepted: 12/27/2014] [Indexed: 12/23/2022]
Abstract
Many consortia and international projects have investigated the human genetic variation of a large number of ethno-geographic groups. However, populations with peculiar genetic features, such as the Turkish population, are still absent in publically available datasets. To explore the genetic predisposition to health-related traits of the Turkish population, we analyzed 34 genes associated with different health-related traits (for example, lipid metabolism, cardio-vascular diseases, hormone metabolism, cellular detoxification, aging and energy metabolism). We observed relevant differences between the Turkish population and populations with non-European ancestries (that is, Africa and East Asia) in some of the investigated genes (that is, AGT, APOE, CYP1B1, GNB3, IL10, IL6, LIPC and PON1). As most complex traits are highly polygenic, we developed polygenic scores associated with different health-related traits to explore the genetic diversity of the Turkish population with respect to other human groups. This approach showed significant differences between the Turkish population and populations with non-European ancestries, as well as between Turkish and Northern European individuals. This last finding is in agreement with the genetic structure of European and Middle East populations, and may also agree with epidemiological evidences about the health disparities of Turkish communities in Northern European countries.
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Affiliation(s)
- Sefayet Karaca
- 1] School of Health Science, Aksaray University, Aksaray, Turkey [2] GENAR Institute for Public Health and Genomics Research, Ankara, Turkey
| | - Tomris Cesuroglu
- 1] GENAR Institute for Public Health and Genomics Research, Ankara, Turkey [2] Department of Social Medicine, Maastricht University, Maastricht, The Netherlands
| | - Mehmet Karaca
- Department of Biology, Faculty of Science and Arts, Aksaray University, Aksaray, Turkey
| | - Sema Erge
- 1] GENAR Institute for Public Health and Genomics Research, Ankara, Turkey [2] Department of Nutrition and Dietetics, Faculty of Health Science, Zirve University, Gaziantep, Turkey
| | - Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA
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24
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Yang B, Fan S, Zhi X, Wang Y, Wang Y, Zheng Q, Sun G. Prevalence of hyperhomocysteinemia in China: a systematic review and meta-analysis. Nutrients 2014; 7:74-90. [PMID: 25551247 PMCID: PMC4303827 DOI: 10.3390/nu7010074] [Citation(s) in RCA: 79] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2014] [Accepted: 12/12/2014] [Indexed: 12/31/2022] Open
Abstract
Hyperhomocysteinemia (HHcy, total homocysteine concentrations > 15 μmol/L) has been associated with increased risk of many diseases. A systematic review was performed to summarize the prevalence of HHcy in China. We searched multiple international and Chinese scientific databases for relevant literature, and further manually screened reference lists and corresponded with original authors. Pooled prevalence of HHcy was calculated using random effects model. Subgroup analysis, meta-regression and sensitivity analysis were also performed. A total of 36 studies consisting 60,754 subjects (57.3% male; age range, 3–97 years) were finally included. The overall pooled prevalence of HHcy was 27.5%. Geographically, the prevalence was high in north areas, intermediate in central areas, and low in south areas, and was higher in inland versus coastal areas. The prevalence increased with age and was significantly higher in men than in women. Rural residents had a slightly higher HHcy prevalence than urban residents, and the studies conducted during 2006 to 2012 presented a higher HHcy prevalence than those during 1990 to 2005. In summary, the prevalence of HHcy in China is high, particularly in northern populations, the inlanders, males, and the elderly. Homocysteine-lowering strategies are necessary to reduce this highly preventable disorder.
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Affiliation(s)
- Boyi Yang
- Research Center of Environment and Non-Communicable Disease, School of Public Health, China Medical University, Shenyang 110013, China.
| | - Shujun Fan
- Research Center of Environment and Non-Communicable Disease, School of Public Health, China Medical University, Shenyang 110013, China.
| | - Xueyuan Zhi
- Research Center of Environment and Non-Communicable Disease, School of Public Health, China Medical University, Shenyang 110013, China.
| | - Yinuo Wang
- Division of Molecular Preventive Medicine, Shanghai Institute of Targeted Therapy and Molecular Medicine, Shanghai 200433, China.
| | - Yanxun Wang
- Division of Molecular Preventive Medicine, Shanghai Institute of Targeted Therapy and Molecular Medicine, Shanghai 200433, China.
| | - Quanmei Zheng
- Research Center of Environment and Non-Communicable Disease, School of Public Health, China Medical University, Shenyang 110013, China.
| | - Guifan Sun
- Research Center of Environment and Non-Communicable Disease, School of Public Health, China Medical University, Shenyang 110013, China.
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25
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Binia A, Contreras AV, Canizales-Quinteros S, Alonzo VA, Tejero ME, Silva-Zolezzi I. Geographical and ethnic distribution of single nucleotide polymorphisms within genes of the folate/homocysteine pathway metabolism. GENES & NUTRITION 2014; 9:421. [PMID: 25106483 PMCID: PMC4172644 DOI: 10.1007/s12263-014-0421-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/17/2014] [Accepted: 07/25/2014] [Indexed: 12/22/2022]
Abstract
High levels of plasma homocysteine are associated with an increased risk of many health conditions influenced by both environmental and genetic factors. The objective of this study was to provide the geographical distribution of folate pathway genetic polymorphisms in Mexico and the comparison with the reported frequencies in different continental populations. This study included the analysis of the genotypic frequencies of eight polymorphisms in genes of the folate/homocysteine metabolic pathway in 1,350 Mestizo and Amerindian subjects from different regions in Mexico and 836 individuals from European, African and Asian populations of the 1,000 Genomes Project. In Mexican Mestizo and Amerindian populations, the MTHFR C677T risk genotype (TT) was highly prevalent (frequency: 25 and 57 %, respectively). In Mestizos, the frequency showed clear regional variation related to ancestry; the Guerrero subpopulation with the highest Amerindian contribution had the highest TT frequency (33 %). The MTHFD1 G1958A AA risk genotype was also enriched in Mexican Mestizos and Amerindians (frequency: 34 and 58 %, respectively), whereas in African and Asian ancestry populations the frequency for AA was low (~4 %). All together risk genotypes showed regional differences, and Sonora had significantly different genetic frequencies compared with the other regions (P value <0.05). Our study illustrates differential geographical distribution of the risk variants in the folate/homocysteine metabolic pathway relative to ethnic background. This work supports that certain areas of the world have increased needs for folic acid and vitamin B supplementation, and this information needs to be considered in public health guidelines and eventually policies.
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Affiliation(s)
- Aristea Binia
- Nutrition and Health Research, Nestlé Research Center, Lausanne, Switzerland,
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26
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Naushad SM, Krishnaprasad C, Devi ARR. Adaptive developmental plasticity in methylene tetrahydrofolate reductase (MTHFR) C677T polymorphism limits its frequency in South Indians. Mol Biol Rep 2014; 41:3045-50. [PMID: 24449370 DOI: 10.1007/s11033-014-3163-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2013] [Accepted: 01/13/2014] [Indexed: 10/25/2022]
Abstract
Methylene tetrahydrofolate reductase (MTHFR) C677T polymorphism shows considerable heterogeneity in its distribution in humans worldwide. The current study was conducted to investigate whether this polymorphism exhibited adaptive developmental plasticity in the control of the TT-genotype frequency. We screened 1,818 South Indian subjects (895 males and 923 females) for MTHFR C677T polymorphism using PCR-restriction fragment length polymorphism approach. MTHFR 677T-allele frequency in males and females was 9.1 and 11.0%, respectively. Compared to females, males had lower frequency of TT-genotype [odds ratio 0.31, 95% confidence interval (CI) 0.08-1.01]. The frequency of MTHFR 677T-allele was highest in the age group of 20-40 years and it gradually decreased from 40-60 to 60-80 years (P trend<0.0001). MTHFR 677TT-genotype was associated with 7.02-folds (95% CI: 2.12-25.63, P<0.0001) cumulative risk for recurrent pregnancy loss (RPL), neural tube defects (NTDs) and deep vein thrombosis (DVT). Linear regression model suggested that male gender exhibited increased homocysteine levels by 9.35 μmol/L while each MTHFR 677T-allele contributed to 4.63 μmol/L increase in homocysteine. Plasma homocysteine showed inverse correlation with dietary folate (r=-0.17, P<0.0001), B2 (r=-0.14, P<0.0001) and B6 (r=-0.07, P=0.03). Examination of the spontaneously aborted fetuses (n=35) showed no significant association of fetal genotype on its in utero viability. From the current study, it was concluded that C677T seemed to have acquired adaptive developmental plasticity among South Indians due to environmental influences thus contributing to hyperhomocysteinemia and its associated complications such as RPL, NTDs, DVT, etc.
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Affiliation(s)
- Shaik Mohammad Naushad
- School of Chemical & Biotechnology, SASTRA University, Tirumalaisamudram, Thanjavur, 613401, India,
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