1
|
Ma Y, Tan Z, Li Q, Fan W, Chen G, Bin Y, Zhou Y, Yi J, Luo X, Tan J, Si Z, Li J. Combined Analysis of Expression Profiles in a Mouse Model and Patients Identified BHMT2 as a New Regulator of Lipid Metabolism in Metabolic-Associated Fatty Liver Disease. Front Cell Dev Biol 2021; 9:741710. [PMID: 34869329 PMCID: PMC8636031 DOI: 10.3389/fcell.2021.741710] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 10/19/2021] [Indexed: 01/02/2023] Open
Abstract
Metabolic associated fatty liver disease (MAFLD) is associated with obesity, type 2 diabetes mellitus, and other metabolic syndromes. Farnesoid X receptor (FXR, NR1H4) plays a prominent role in hepatic lipid metabolism. This study combined the expression of liver genes in FXR knockout (KO) mice and MAFLD patients to identify new pathogenic pathways for MAFLD based on genome-wide transcriptional profiling. In addition, the roles of new target genes in the MAFLD pathogenic pathway were also explored. Two groups of differentially expressed genes were obtained from FXR-KO mice and MAFLD patients by transcriptional analysis of liver tissue samples. The similarities and differences between the two groups of differentially expressed genes were analyzed to identify novel pathogenic pathways and target genes. After the integration analysis of differentially expressed genes, we identified 134 overlapping genes, many of which have been reported to play an important role in lipid metabolism. Our unique analysis method of comparing differential gene expression between FXR-KO mice and patients with MAFLD is useful to identify target genes and pathways that may be strongly implicated in the pathogenesis of MAFLD. The overlapping genes with high specificity were screened using the Gene Expression Omnibus (GEO) database. Through comparison and analysis with the GEO database, we determined that BHMT2 and PKLR could be highly correlated with MAFLD. Clinical data analysis and RNA interference testing in vitro confirmed that BHMT2 may a new regulator of lipid metabolism in MAFLD pathogenesis. These results may provide new ideas for understanding the pathogenesis of MAFLD and thus provide new targets for the treatment of MAFLD.
Collapse
Affiliation(s)
- Yongqiang Ma
- Department of Liver Transplant, Second Xiangya Hospital, Central South University, Changsha, China.,Transplant Medical Research Center, Second Xiangya Hospital, Central South University, Changsha, China
| | - Zhi Tan
- Department of Gastroenterology, The First Hospital of Changsha, Changsha, China
| | - Qiang Li
- Department of Liver Transplant, Second Xiangya Hospital, Central South University, Changsha, China.,Transplant Medical Research Center, Second Xiangya Hospital, Central South University, Changsha, China
| | - Wenling Fan
- Department of Gastroenterology, The First Hospital of Changsha, Changsha, China
| | - Guangshun Chen
- Department of Liver Transplant, Second Xiangya Hospital, Central South University, Changsha, China.,Transplant Medical Research Center, Second Xiangya Hospital, Central South University, Changsha, China
| | - Yangyang Bin
- Department of Liver Transplant, Second Xiangya Hospital, Central South University, Changsha, China
| | - Yi Zhou
- Department of Liver Transplant, Second Xiangya Hospital, Central South University, Changsha, China
| | - Junfang Yi
- Department of Liver Transplant, Second Xiangya Hospital, Central South University, Changsha, China
| | - Xiaohua Luo
- Department of Liver Transplant, Second Xiangya Hospital, Central South University, Changsha, China
| | - Jieqiong Tan
- Center for Medical Genetics, School of Life Science, Central South University, Changsha, China
| | - Zhongzhou Si
- Department of Liver Transplant, Second Xiangya Hospital, Central South University, Changsha, China.,Transplant Medical Research Center, Second Xiangya Hospital, Central South University, Changsha, China
| | - Jiequn Li
- Department of Liver Transplant, Second Xiangya Hospital, Central South University, Changsha, China.,Transplant Medical Research Center, Second Xiangya Hospital, Central South University, Changsha, China
| |
Collapse
|
2
|
Sun YH, Gao J, Liu XD, Tang HW, Cao SL, Zhang JK, Wen PH, Wang ZH, Li J, Guo WZ, Zhang SJ. Interaction analysis of gene variants related to one-carbon metabolism with chronic hepatitis B infection in Chinese patients. J Gene Med 2021; 23:e3347. [PMID: 33894044 DOI: 10.1002/jgm.3347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 03/09/2021] [Accepted: 04/21/2021] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND The risk of chronic hepatitis B (CHB) infection is influenced by aberrant DNA methylation and altered nucleotide synthesis and repair, possibly caused by polymorphic variants in one-carbon metabolism genes. In the present study, we investigated the relationship between polymorphisms belonging to the one-carbon metabolic pathway and CHB infection. METHODS A case-control study using 230 CHB patients and 234 unrelated healthy controls was carried out to assess the genetic association of 24 single nucleotide polymorphisins (SNPs) determined by mass spectrometry. RESULTS Three SNPs, comprising rs10717122 and rs2229717 in serine hydroxymethyltransferase1/2 (SHMT2) and rs585800 in betaine-homocysteine S-methyltransferase (BHMT), were associated with the risk of CHB. Patients with DEL allele, DEL.DEL and DEL.T genotypes of rs10717122 had a 1.40-, 2.00- and 1.83-fold increased risk for CHB, respectively. Cases inheriting TA genotype of rs585800 had a 2.19-fold risk for CHB infection. The T allele of rs2229717 was less represented in the CHB cases (odds ratio = 0.66, 95% confidence interval = 0.48-0.92). The T allele of rs2229717 was less in patients with a low hepatitis B virus-DNA level compared to the control group (odds ratio = 0.49, 95% confidence interval = 0.25-0.97) and TT genotype of rs2229717 had a significant correlation with hepatitis B surface antigen level (p = 0.0195). Further gene-gene interaction analysis showed that subjects carrying the rs10717122 DEL.DEL/DEL.T and rs585800 TT/TA genotypes had a 2.74-fold increased risk of CHB. CONCLUSIONS The results of the present study suggest that rs10717122, rs585800 and rs2229717 and gene-gene interactions of rs10717122 and rs585800 affect the outcome of CHB infection, at the same time as indicating their usefulness as a predictive and diagnostic biomarker of CHB infection.
Collapse
Affiliation(s)
- Yao-Hui Sun
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Henan, China.,Open and Key Laboratory of Hepatobiliary & Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Henan, China.,Zhengzhou Key Laboratory of Hepatobiliary & Pancreatic Diseases and Organ Transplantation, Henan, China
| | - Jie Gao
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Henan, China.,Open and Key Laboratory of Hepatobiliary & Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Henan, China.,Zhengzhou Key Laboratory of Hepatobiliary & Pancreatic Diseases and Organ Transplantation, Henan, China
| | - Xu-Dong Liu
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Henan, China.,Open and Key Laboratory of Hepatobiliary & Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Henan, China.,Zhengzhou Key Laboratory of Hepatobiliary & Pancreatic Diseases and Organ Transplantation, Henan, China
| | - Hong-Wei Tang
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Henan, China.,Open and Key Laboratory of Hepatobiliary & Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Henan, China.,Zhengzhou Key Laboratory of Hepatobiliary & Pancreatic Diseases and Organ Transplantation, Henan, China
| | - Sheng-Li Cao
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Henan, China.,Open and Key Laboratory of Hepatobiliary & Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Henan, China.,Zhengzhou Key Laboratory of Hepatobiliary & Pancreatic Diseases and Organ Transplantation, Henan, China
| | - Jia-Kai Zhang
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Henan, China.,Open and Key Laboratory of Hepatobiliary & Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Henan, China.,Zhengzhou Key Laboratory of Hepatobiliary & Pancreatic Diseases and Organ Transplantation, Henan, China
| | - Pei-Hao Wen
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Henan, China.,Open and Key Laboratory of Hepatobiliary & Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Henan, China.,Zhengzhou Key Laboratory of Hepatobiliary & Pancreatic Diseases and Organ Transplantation, Henan, China
| | - Zhi-Hui Wang
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Henan, China.,Open and Key Laboratory of Hepatobiliary & Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Henan, China.,Zhengzhou Key Laboratory of Hepatobiliary & Pancreatic Diseases and Organ Transplantation, Henan, China
| | - Jie Li
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Henan, China.,Open and Key Laboratory of Hepatobiliary & Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Henan, China.,Zhengzhou Key Laboratory of Hepatobiliary & Pancreatic Diseases and Organ Transplantation, Henan, China
| | - Wen-Zhi Guo
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Henan, China.,Open and Key Laboratory of Hepatobiliary & Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Henan, China.,Zhengzhou Key Laboratory of Hepatobiliary & Pancreatic Diseases and Organ Transplantation, Henan, China
| | - Shui-Jun Zhang
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Henan, China.,Open and Key Laboratory of Hepatobiliary & Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Henan, China.,Zhengzhou Key Laboratory of Hepatobiliary & Pancreatic Diseases and Organ Transplantation, Henan, China
| |
Collapse
|
3
|
Chmurzynska A, Seremak‐Mrozikiewicz A, Malinowska AM, Różycka A, Radziejewska A, KurzawiŃska G, Barlik M, Wolski H, Drews K. Associations between folate and choline intake, homocysteine metabolism, and genetic polymorphism of
MTHFR, BHMT
and
PEMT
in healthy pregnant Polish women. Nutr Diet 2019; 77:368-372. [DOI: 10.1111/1747-0080.12549] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2018] [Revised: 03/27/2019] [Accepted: 04/08/2019] [Indexed: 01/21/2023]
Affiliation(s)
- Agata Chmurzynska
- Institute of Human Nutrition and DieteticsPoznań University of Life Sciences Poznań Poland
| | - Agnieszka Seremak‐Mrozikiewicz
- Division of Perinatology and Women's DiseasesPoznań University of Medical Sciences Poznań Poland
- Laboratory of Molecular Biology, Division of Perinatology and Women's DiseasesPoznań University of Medical Sciences Poznań Poland
| | - Anna M. Malinowska
- Institute of Human Nutrition and DieteticsPoznań University of Life Sciences Poznań Poland
| | - Agata Różycka
- Department of Biochemistry and Molecular BiologyPoznań University of Medical Sciences Poznań Poland
| | - Anna Radziejewska
- Institute of Human Nutrition and DieteticsPoznań University of Life Sciences Poznań Poland
| | - Grażyna KurzawiŃska
- Division of Perinatology and Women's DiseasesPoznań University of Medical Sciences Poznań Poland
- Laboratory of Molecular Biology, Division of Perinatology and Women's DiseasesPoznań University of Medical Sciences Poznań Poland
| | - Magdalena Barlik
- Division of Perinatology and Women's DiseasesPoznań University of Medical Sciences Poznań Poland
- Laboratory of Molecular Biology, Division of Perinatology and Women's DiseasesPoznań University of Medical Sciences Poznań Poland
| | - Hubert Wolski
- Division of Perinatology and Women's DiseasesPoznań University of Medical Sciences Poznań Poland
- Division of Gynecology and ObstetricsPodhale Multidisciplinary Hospital Nowy Targ Poland
| | - Krzysztof Drews
- Division of Perinatology and Women's DiseasesPoznań University of Medical Sciences Poznań Poland
- Laboratory of Molecular Biology, Division of Perinatology and Women's DiseasesPoznań University of Medical Sciences Poznań Poland
| |
Collapse
|
4
|
Genetic polymorphisms in MTR are associated with non-syndromic congenital heart disease from a family-based case-control study in the Chinese population. Sci Rep 2019; 9:5065. [PMID: 30911047 PMCID: PMC6433945 DOI: 10.1038/s41598-019-41641-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Accepted: 03/11/2019] [Indexed: 11/24/2022] Open
Abstract
Genetic polymorphisms of folate pathway genes have been reported to be associated with congenital heart diseases (CHDs); however, the results remain conflicting. We conducted a family-based case-control study, which included160 CHD case-parent triads and 208 control-parent triads to explore the association of 18 genetic variants of seven folate metabolism-related genes with the risk of CHDs. The MTR C allele of rs1770449 (OR = 1.961, 95%CI: 1.379–2.788) and the MTR A allele of rs1050993 (OR = 1.994, 95%CI: 1.401–2.839) in infants were associated with an increased risk of CHDs. Over-transmission of SNPs rs1770449 and rs1050993 and haplotype CAA (rs1770449-rs1805087-rs1050993) in MTR were detected in total CHDs. The above mentioned associations of MTR with CHDs were also observed in septal defects and conotruncal heart defects subgroups. Without maternal periconceptional folate intake, the risk of CHDs among women carrying the rs1770449 “CT or CC” genotype or the rs1050993 “AG or AA” genotype in MTR was 3.262(95%CI: 1.656–6.429) or 3.263(95%CI: 1.656–6.429) times greater than the aOR in women carrying wild genotype, respectively. Our study suggests that MTR polymorphisms (rs1770449 and rs1050993) may be associated with the risk of CHDs and modify the relation between maternal folate intake and CHDs.
Collapse
|
5
|
Seremak-Mrozikiewicz A, Barlik M, Różycka A, Kurzawińska G, Klejewski A, Wolski H, Drews K. Importance of polymorphic variants of phosphatidylethanolamine N-methyltransferase (PEMT) gene in the etiology of intrauterine fetal death in the Polish population. Eur J Obstet Gynecol Reprod Biol 2018; 231:43-47. [PMID: 30321787 DOI: 10.1016/j.ejogrb.2018.10.021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Revised: 10/03/2018] [Accepted: 10/06/2018] [Indexed: 12/01/2022]
Abstract
OBJECTIVES Intrauterine fetal death (IUFD) is a multifactorial disorder and one of the most severe obstetrical complications. Our primary aim was to study the possible associations between polymorphic variants of the PEMT gene and IUFD in the Polish population. STUDY DESIGN The case-control study involved 76 mothers with IUFD occurrence and 215 mothers of healthy children. Genetic analysis of the four single nucleotide polymorphisms in the PEMT gene (rs4646406, rs4244593, rs897453 and rs12325817) was performed with the PCR/RFLP method. RESULTS Three oef the analyzed PEMT polymorphisms (rs4646406, rs4244593, and rs8974) were significantly associated with IUFD in the Polish population. Among them, PEMT variant rs4244593 was associated with increased risk of IUFD in three genetic inheritance models. Results were statistically significant even after applying Bonferroni correction for multiple comparisons (p < 0.0125). The distribution of all haplotypes except TAGC was not different between cases and controls, however, after applying permutation test, none of the haplotypes showed a relation with IUFD. CONCLUSIONS The present findings indicate that PEMT polymorphisms may be associated with the susceptibility to IUFD in the Polish population.
Collapse
|
6
|
Chmurzynska A, Seremak-Mrozikiewicz A, Malinowska AM, Różycka A, Radziejewska A, Szwengiel A, Kurzawińska G, Barlik M, Jagodziński PP, Drews K. PEMT rs12325817 and PCYT1A rs7639752 polymorphisms are associated with betaine but not choline concentrations in pregnant women. Nutr Res 2018; 56:61-70. [PMID: 30055775 DOI: 10.1016/j.nutres.2018.04.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 04/27/2018] [Accepted: 04/27/2018] [Indexed: 02/04/2023]
Abstract
Maternal metabolism during gestation may depend on nutrient intake but also on polymorphism of genes encoding enzymes involved in metabolism of different nutrients. Data on choline or carnitine metabolism in pregnant women are scarce. We hypothesized that (1) choline intake in Polish pregnant women is inadequate and (2) choline and carnitine metabolism would differ by genotype and nutritional status of pregnant women. One hundred three healthy Polish women aged 18 to 44 years in the third trimester of pregnancy were enrolled in the study. The average choline, folate, and carnitine intakes were 365 ± 14 mg/d, 1089 ± 859 μg, and 132 ± 8 mg/d, respectively. Most women did not achieve an adequate intake of choline. Average choline, betaine, trimethylamine oxide, l-carnitine, and acetylcarnitine concentrations were 10.64 ± 3.30 μmol/L, 14.43 ± 4.01 μmol/L, 2.01 ± 1.24 μmol/L, 12.73 ± 5.41 μmol/L, and 6.79 ± 3.82 μmol/L, respectively. Approximately 15% lower betaine concentrations were observed in the GG homozygotes of PEMT rs12325817 and in the GG homozygotes of PCYT1A rs7639752 than in the respective minor allele carriers. Birth weight was higher in the G allele homozygotes of the CHDH rs2289205 than in the minor allele carriers: GG: 3398 ± 64 g; GA+AA: 3193 ± 76 g. Our study shows that choline intake in Polish pregnant women is inadequate and that polymorphisms of PEMT rs12325817 and PCYT1A rs7639752 are associated with betaine but not choline concentrations.
Collapse
Affiliation(s)
- Agata Chmurzynska
- Institute of Human Nutrition and Dietetics, Poznań University of Life Sciences.
| | - Agnieszka Seremak-Mrozikiewicz
- Division of Perinatology and Women's Diseases, Poznań University of Medical Sciences, Poznań, Poland; Laboratory of Molecular Biology, Division of Perinatology and Women's Diseases, Poznań University of Medical Sciences, Poznań, Poland
| | - Anna M Malinowska
- Institute of Human Nutrition and Dietetics, Poznań University of Life Sciences
| | - Agata Różycka
- Department of Biochemistry and Molecular Biology, Poznań University of Medical Sciences
| | - Anna Radziejewska
- Institute of Human Nutrition and Dietetics, Poznań University of Life Sciences
| | - Artur Szwengiel
- Institute of Food Technology of Plant Origin, Poznań University of Life Sciences
| | - Grażyna Kurzawińska
- Division of Perinatology and Women's Diseases, Poznań University of Medical Sciences, Poznań, Poland; Laboratory of Molecular Biology, Division of Perinatology and Women's Diseases, Poznań University of Medical Sciences, Poznań, Poland
| | - Magdalena Barlik
- Division of Perinatology and Women's Diseases, Poznań University of Medical Sciences, Poznań, Poland; Laboratory of Molecular Biology, Division of Perinatology and Women's Diseases, Poznań University of Medical Sciences, Poznań, Poland
| | - Paweł P Jagodziński
- Department of Biochemistry and Molecular Biology, Poznań University of Medical Sciences
| | - Krzysztof Drews
- Division of Perinatology and Women's Diseases, Poznań University of Medical Sciences, Poznań, Poland; Laboratory of Molecular Biology, Division of Perinatology and Women's Diseases, Poznań University of Medical Sciences, Poznań, Poland
| |
Collapse
|
7
|
GWAS reveals loci associated with velopharyngeal dysfunction. Sci Rep 2018; 8:8470. [PMID: 29855589 PMCID: PMC5981322 DOI: 10.1038/s41598-018-26880-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Accepted: 05/22/2018] [Indexed: 01/25/2023] Open
Abstract
Velopharyngeal dysfunction (VPD) occurs when the muscular soft palate (velum) and lateral pharyngeal walls are physically unable to separate the oral and nasal cavities during speech production leading to hypernasality and abnormal speech reduction. Because VPD is often associated with overt or submucous cleft palate, it could be present as a subclinical phenotype in families with a history of orofacial clefting. A key assumption to this model is that the overt and subclinical manifestations of the orofacial cleft phenotype exist on a continuum and therefore share common etiological factors. We performed a genome-wide association study in 976 unaffected relatives of isolated CP probands, 54 of whom had VPD. Five loci were significantly (p < 5 × 10-8) associated with VPD: 3q29, 9p21.1, 12q21.31, 16p12.3 and 16p13.3. An additional 15 loci showing suggestive evidence of association with VPD were observed. Several genes known to be involved in orofacial clefting and craniofacial development are located in these regions, such as TFRC, PCYT1A, BNC2 and FREM1. Although further research is necessary, this could be an indication for a potential shared genetic architecture between VPD and cleft palate, and supporting the hypothesis that VPD is a subclinical phenotype of orofacial clefting.
Collapse
|
8
|
Wang P, Wu T, Schwender H, Wang H, Shi B, Wang ZQ, Yuan Y, Liu DJ, Wang MY, Li J, Zhou ZB, Zhu HP, Beaty TH. Evidence of interaction between genes in the folate/homocysteine metabolic pathway in controlling risk of non-syndromic oral cleft. Oral Dis 2018; 24:820-828. [PMID: 29356306 DOI: 10.1111/odi.12831] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Revised: 12/20/2017] [Accepted: 01/09/2018] [Indexed: 01/09/2023]
Abstract
OBJECTIVE Little consistent evidence is available for the association between the risk of non-syndromic cleft lip with or without cleft palate (NSCL/P) and any of the individual genes in the folate/homocysteine metabolic pathway. We investigated the genes in the folate pathway to further clarify its potential influence on the risk of NSCL/P considering gene-gene (G×G) interaction. SUBJECTS AND METHODS We selected markers in 18 genes from the pathway and applied Cordell's method to test for G×G interaction using 1,908 NSCL/P case-parent trios ascertained in an international consortium where a genomewide association study (GWAS) of oral clefts was conducted. RESULTS We found intriguing signals among Asian and European ancestry groups for G×G interaction between markers in betaine-homocysteine methyltransferase gene (BHMT/BHMT2) and dimethylglycine dehydrogenase gene (DMGDH) attaining genomewide significance. In the pooled data, the top significant interaction was found between rs13158309 (BHMT) and rs10514154 (DMGDH, p = 1.45 × 10-12 ). CONCLUSIONS Our study illustrated the importance of taking into account potential G×G interaction for genetic association analysis in NSCL/P, and this study suggested both BHMT/BHMT2 and DMGDH should be considered as candidate genes for NSCL/P in future studies.
Collapse
Affiliation(s)
- P Wang
- School of Public Health, Peking University, Beijing, China.,Department of Statistics and Information, Beijing Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine, Beijing, China
| | - T Wu
- School of Public Health, Peking University, Beijing, China.,Key Laboratory of Reproductive Health, Ministry of Health, Beijing, China
| | - H Schwender
- Mathematical Institute, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - H Wang
- School of Public Health, Peking University, Beijing, China
| | - B Shi
- State Key Laboratory of Oral Disease, West China School of Stomatology, Sichuan University, Chengdu, China
| | - Z Q Wang
- School of Public Health, Peking University, Beijing, China
| | - Y Yuan
- School of Public Health, Peking University, Beijing, China
| | - D J Liu
- School of Public Health, Peking University, Beijing, China
| | - M Y Wang
- School of Public Health, Peking University, Beijing, China
| | - J Li
- Pediatric Dentistry, Peking University School of Stomatology, Beijing, China
| | - Z B Zhou
- Oral and Maxillofacial Surgery, Peking University School of Stomatology, Beijing, China
| | - H P Zhu
- Oral and Maxillofacial Surgery, Peking University School of Stomatology, Beijing, China
| | - T H Beaty
- School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| |
Collapse
|
9
|
Marini NJ, Yang W, Asrani K, Witte JS, Rine J, Lammer EJ, Shaw GM. Sequence variation in folate pathway genes and risks of human cleft lip with or without cleft palate. Am J Med Genet A 2016; 170:2777-2787. [PMID: 27604992 DOI: 10.1002/ajmg.a.37874] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2016] [Accepted: 07/14/2016] [Indexed: 12/27/2022]
Abstract
In an effort to comprehensively interrogate genetic variation in the folate pathway for risk of cleft lip with or without cleft palate (CLP), we evaluated 504 common and rare variants in 35 folate-related genes in a panel of 330 infants with CLP and 367 non-malformed controls. Odds ratios (OR) with 95% confidence intervals were computed for common genotypes. A Case-Control Difference metric was calculated for rare variants to highlight differentially occurring alleles. Interactions between variants and a maternal folate intake variable were also evaluated. In gene-only results, significant odds ratios were observed for multiple variants in the BHMT/BHMT2/DMGDH gene cluster, particularly in Hispanic infants. Also in this cluster, rare variant analysis highlighted a substantial case-control difference in BHMT rs60340837 (synonymous Y284Y). In Hispanics, the ALDH1L1 I812V variant (rs4646750) was the most significant risk allele: OR = 3.8 (95%CI = 1.6-9.2) when heterozygous. In non-Hispanic white infants, we observed significant risk for AHCYL2 rs1095423 (homozygous OR = 3.0, 95%CI 1.1-7.8) and the 68 bp CBS insertion (c.844ins68; heterozygous OR = 2.4, 95%CI = 1.1-5.3). Rare variant analysis in this group revealed case-control differences in MTRR and several other methionine cycle genes, a process implicated previously in clefting risk. In women with low folate intake specifically, increased risks were observed for CBS rs2851391 (OR = 3.6, 95%CI = 1.3-9.6) and the R259P nonsynonymous variant of TCN2 (rs1801198; OR = 2.8, 95%CI = 1.2-6.3). This comprehensive study provides further direction on candidate loci to help disentangle the folate-related developmental phenomena in human clefting risk. © 2016 Wiley Periodicals, Inc.
Collapse
Affiliation(s)
- Nicholas J Marini
- Department of Molecular and Cellular Biology, California Institute for Quantitative Biosciences, University of California, Berkeley, California.
| | - Wei Yang
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California
| | - Kripa Asrani
- Department of Molecular and Cellular Biology, California Institute for Quantitative Biosciences, University of California, Berkeley, California
| | - John S Witte
- Department of Epidemiology and Biostatistics and Institute of Human Genetics, University of California, San Francisco, California
| | - Jasper Rine
- Department of Molecular and Cellular Biology, California Institute for Quantitative Biosciences, University of California, Berkeley, California
| | - Edward J Lammer
- UCSF Benioff Children's Hospital Oakland, Oakland, California
| | - Gary M Shaw
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California
| |
Collapse
|
10
|
Li M, Li J, He Z, Lu Q, Witte JS, Macleod SL, Hobbs CA, Cleves MA. Testing Allele Transmission of an SNP Set Using a Family-Based Generalized Genetic Random Field Method. Genet Epidemiol 2016; 40:341-51. [PMID: 27061818 DOI: 10.1002/gepi.21970] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2015] [Revised: 02/19/2016] [Accepted: 02/22/2016] [Indexed: 12/20/2022]
Abstract
Family-based association studies are commonly used in genetic research because they can be robust to population stratification (PS). Recent advances in high-throughput genotyping technologies have produced a massive amount of genomic data in family-based studies. However, current family-based association tests are mainly focused on evaluating individual variants one at a time. In this article, we introduce a family-based generalized genetic random field (FB-GGRF) method to test the joint association between a set of autosomal SNPs (i.e., single-nucleotide polymorphisms) and disease phenotypes. The proposed method is a natural extension of a recently developed GGRF method for population-based case-control studies. It models offspring genotypes conditional on parental genotypes, and, thus, is robust to PS. Through simulations, we presented that under various disease scenarios the FB-GGRF has improved power over a commonly used family-based sequence kernel association test (FB-SKAT). Further, similar to GGRF, the proposed FB-GGRF method is asymptotically well-behaved, and does not require empirical adjustment of the type I error rates. We illustrate the proposed method using a study of congenital heart defects with family trios from the National Birth Defects Prevention Study (NBDPS).
Collapse
Affiliation(s)
- Ming Li
- Department of Epidemiology and Biostatistics, Indiana University at Bloomington, Bloomington, Indiana, United States of America
| | - Jingyun Li
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America
| | - Zihuai He
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Qing Lu
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, United States of America
| | - John S Witte
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, California, United States of America
| | - Stewart L Macleod
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America
| | - Charlotte A Hobbs
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America
| | - Mario A Cleves
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America
| | | |
Collapse
|
11
|
Joubert BR, Felix JF, Yousefi P, Bakulski KM, Just AC, Breton C, Reese SE, Markunas CA, Richmond RC, Xu CJ, Küpers LK, Oh SS, Hoyo C, Gruzieva O, Söderhäll C, Salas LA, Baïz N, Zhang H, Lepeule J, Ruiz C, Ligthart S, Wang T, Taylor JA, Duijts L, Sharp GC, Jankipersadsing SA, Nilsen RM, Vaez A, Fallin MD, Hu D, Litonjua AA, Fuemmeler BF, Huen K, Kere J, Kull I, Munthe-Kaas MC, Gehring U, Bustamante M, Saurel-Coubizolles MJ, Quraishi BM, Ren J, Tost J, Gonzalez JR, Peters MJ, Håberg SE, Xu Z, van Meurs JB, Gaunt TR, Kerkhof M, Corpeleijn E, Feinberg AP, Eng C, Baccarelli AA, Benjamin Neelon SE, Bradman A, Merid SK, Bergström A, Herceg Z, Hernandez-Vargas H, Brunekreef B, Pinart M, Heude B, Ewart S, Yao J, Lemonnier N, Franco OH, Wu MC, Hofman A, McArdle W, Van der Vlies P, Falahi F, Gillman MW, Barcellos LF, Kumar A, Wickman M, Guerra S, Charles MA, Holloway J, Auffray C, Tiemeier HW, Smith GD, Postma D, Hivert MF, Eskenazi B, Vrijheid M, Arshad H, Antó JM, Dehghan A, Karmaus W, Annesi-Maesano I, Sunyer J, Ghantous A, Pershagen G, Holland N, Murphy SK, DeMeo DL, Burchard EG, Ladd-Acosta C, Snieder H, Nystad W, Koppelman GH, Relton CL, Jaddoe VWV, Wilcox A, Melén E, London SJ. DNA Methylation in Newborns and Maternal Smoking in Pregnancy: Genome-wide Consortium Meta-analysis. Am J Hum Genet 2016; 98:680-96. [PMID: 27040690 PMCID: PMC4833289 DOI: 10.1016/j.ajhg.2016.02.019] [Citation(s) in RCA: 577] [Impact Index Per Article: 72.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2015] [Accepted: 02/20/2016] [Indexed: 02/07/2023] Open
Abstract
Epigenetic modifications, including DNA methylation, represent a potential mechanism for environmental impacts on human disease. Maternal smoking in pregnancy remains an important public health problem that impacts child health in a myriad of ways and has potential lifelong consequences. The mechanisms are largely unknown, but epigenetics most likely plays a role. We formed the Pregnancy And Childhood Epigenetics (PACE) consortium and meta-analyzed, across 13 cohorts (n = 6,685), the association between maternal smoking in pregnancy and newborn blood DNA methylation at over 450,000 CpG sites (CpGs) by using the Illumina 450K BeadChip. Over 6,000 CpGs were differentially methylated in relation to maternal smoking at genome-wide statistical significance (false discovery rate, 5%), including 2,965 CpGs corresponding to 2,017 genes not previously related to smoking and methylation in either newborns or adults. Several genes are relevant to diseases that can be caused by maternal smoking (e.g., orofacial clefts and asthma) or adult smoking (e.g., certain cancers). A number of differentially methylated CpGs were associated with gene expression. We observed enrichment in pathways and processes critical to development. In older children (5 cohorts, n = 3,187), 100% of CpGs gave at least nominal levels of significance, far more than expected by chance (p value < 2.2 × 10(-16)). Results were robust to different normalization methods used across studies and cell type adjustment. In this large scale meta-analysis of methylation data, we identified numerous loci involved in response to maternal smoking in pregnancy with persistence into later childhood and provide insights into mechanisms underlying effects of this important exposure.
Collapse
Affiliation(s)
- Bonnie R Joubert
- National Institute of Environmental Health Sciences, NIH, U.S. Department of Health and Human Services, Research Triangle Park, NC 27709, USA
| | - Janine F Felix
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam 3000 CA, the Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam 3000 CA, the Netherlands; The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3000 CA the Netherlands
| | - Paul Yousefi
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California Berkeley, Berkeley, CA 94720-7360, USA
| | - Kelly M Bakulski
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Allan C Just
- Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Carrie Breton
- University of Southern California, Los Angeles, CA 90032, USA
| | - Sarah E Reese
- National Institute of Environmental Health Sciences, NIH, U.S. Department of Health and Human Services, Research Triangle Park, NC 27709, USA
| | - Christina A Markunas
- National Institute of Environmental Health Sciences, NIH, U.S. Department of Health and Human Services, Research Triangle Park, NC 27709, USA; Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27710, USA
| | - Rebecca C Richmond
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Cheng-Jian Xu
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands; Department of Pulmonology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands; GRIAC Research Institute Groningen, University of Groningen, University Medical Center Groningen, 9700 RB, the Netherlands
| | - Leanne K Küpers
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Sam S Oh
- Department of Medicine, University of California, San Francisco, San Francisco, CA 94143-2911, USA
| | - Cathrine Hoyo
- Department of Biological Sciences and Center for Human Health and the Environment, North Carolina State University, Raleigh, NC 27695-7633, USA
| | - Olena Gruzieva
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm 171 77, Sweden
| | - Cilla Söderhäll
- Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm 141 83, Sweden
| | - Lucas A Salas
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona 08003, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain
| | - Nour Baïz
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, Pierre Louis Institute of Epidemiology and Public Health (IPLESP UMRS 1136), Epidemiology of Allergic and Respiratory Diseases Department (EPAR), Saint-Antoine Medical School, F75012 Paris, France
| | - Hongmei Zhang
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN 38152, USA
| | - Johanna Lepeule
- Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Institut Albert Bonniot, Institut National de la Santé et de le Recherche Médicale, University of Grenoble Alpes, Centre Hospitalier Universitaire de Grenoble, F-38000 Grenoble, France
| | - Carlos Ruiz
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona 08003, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain
| | - Symen Ligthart
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam 3000 CA, the Netherlands
| | - Tianyuan Wang
- National Institute of Environmental Health Sciences, NIH, U.S. Department of Health and Human Services, Research Triangle Park, NC 27709, USA
| | - Jack A Taylor
- National Institute of Environmental Health Sciences, NIH, U.S. Department of Health and Human Services, Research Triangle Park, NC 27709, USA
| | - Liesbeth Duijts
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam 3000 CA, the Netherlands; The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3000 CA the Netherlands; Division of Neonatology, Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3000 CA, the Netherlands; Division of Respiratory Medicine, Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3000 CA, the Netherlands
| | - Gemma C Sharp
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Soesma A Jankipersadsing
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands; Department of Pulmonology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Roy M Nilsen
- Department of Global Public Health and Primary Care, University of Bergen, Bergen 5018, Norway
| | - Ahmad Vaez
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands; School of Medicine, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran
| | - M Daniele Fallin
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Donglei Hu
- Department of Medicine, University of California, San Francisco, San Francisco, CA 94143-2911, USA
| | - Augusto A Litonjua
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Bernard F Fuemmeler
- Department of Community and Family Medicine, Duke University School of Medicine, Durham, NC 27710, USA
| | - Karen Huen
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California Berkeley, Berkeley, CA 94720-7360, USA
| | - Juha Kere
- Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm 141 83, Sweden
| | - Inger Kull
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm 171 77, Sweden
| | | | - Ulrike Gehring
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht 3508 TD, the Netherlands
| | - Mariona Bustamante
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona 08003, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain; Center for Genomic Regulation (CRG), Barcelona 08003, Spain
| | | | - Bilal M Quraishi
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN 38152, USA
| | - Jie Ren
- University of Southern California, Los Angeles, CA 90032, USA
| | - Jörg Tost
- Laboratory for Epigenetics and Environment, Centre National de Génotypage, CEA-Institut de Génomique, 91000 Evry, France
| | - Juan R Gonzalez
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona 08003, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain
| | - Marjolein J Peters
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3000 CA, the Netherlands
| | - Siri E Håberg
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo 0403, Norway
| | - Zongli Xu
- National Institute of Environmental Health Sciences, NIH, U.S. Department of Health and Human Services, Research Triangle Park, NC 27709, USA
| | - Joyce B van Meurs
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3000 CA, the Netherlands
| | - Tom R Gaunt
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Marjan Kerkhof
- GRIAC Research Institute Groningen, University of Groningen, University Medical Center Groningen, 9700 RB, the Netherlands
| | - Eva Corpeleijn
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Andrew P Feinberg
- Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Celeste Eng
- Department of Medicine, University of California, San Francisco, San Francisco, CA 94143-2911, USA
| | - Andrea A Baccarelli
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | | | - Asa Bradman
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California Berkeley, Berkeley, CA 94720-7360, USA
| | - Simon Kebede Merid
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm 171 77, Sweden
| | - Anna Bergström
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm 171 77, Sweden
| | - Zdenko Herceg
- Epigenetics Group, International Agency for Research on Cancer (IARC), 69008 Lyon, France
| | | | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht 3508 TD, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht 3508 TD, the Netherlands
| | - Mariona Pinart
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona 08003, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain; Hospital del Mar Medical Research Institute (IMIM), Barcelona 08003, Spain
| | - Barbara Heude
- INSERM, UMR 1153, Early Origin of the Child's Health And Development (ORCHAD) Team, Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS), Université Paris Descartes, 94807 Villejuif, France
| | - Susan Ewart
- Department of Large Animal Clinical Sciences, Michigan State University, East Lansing, MI 48824, USA
| | - Jin Yao
- University of Southern California, Los Angeles, CA 90032, USA
| | - Nathanaël Lemonnier
- Centre National de la Recherche Scientifique-École Normale Supérieure de Lyon-Université Claude Bernard (Lyon 1), Université de Lyon, European Institute for Systems Biology and Medicine 69007 Lyon, France
| | - Oscar H Franco
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam 3000 CA, the Netherlands
| | - Michael C Wu
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam 3000 CA, the Netherlands; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Wendy McArdle
- School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Pieter Van der Vlies
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Fahimeh Falahi
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Matthew W Gillman
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
| | - Lisa F Barcellos
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California Berkeley, Berkeley, CA 94720-7360, USA
| | - Ashish Kumar
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm 171 77, Sweden; Department of Public Health Epidemiology, Unit of Chronic Disease Epidemiology, Swiss Tropical and Public Health Institute, Basel 4051, Switzerland; University of Basel, Basel 4001, Switzerland
| | - Magnus Wickman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm 171 77, Sweden; Sachs' Children's Hospital and Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm 171 77, Sweden
| | - Stefano Guerra
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona 08003, Spain
| | - Marie-Aline Charles
- INSERM, UMR 1153, Early Origin of the Child's Health And Development (ORCHAD) Team, Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS), Université Paris Descartes, 94807 Villejuif, France
| | - John Holloway
- Faculty of Medicine, Clinical & Experimental Sciences, University of Southampton, Southampton SO16 6YD, UK; Faculty of Medicine, Human Development & Health, University of Southampton, Southampton SO16 6YD, UK
| | - Charles Auffray
- Centre National de la Recherche Scientifique-École Normale Supérieure de Lyon-Université Claude Bernard (Lyon 1), Université de Lyon, European Institute for Systems Biology and Medicine 69007 Lyon, France
| | - Henning W Tiemeier
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3000 CA the Netherlands
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Dirkje Postma
- Department of Pulmonology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands; GRIAC Research Institute Groningen, University of Groningen, University Medical Center Groningen, 9700 RB, the Netherlands
| | - Marie-France Hivert
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
| | - Brenda Eskenazi
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California Berkeley, Berkeley, CA 94720-7360, USA
| | - Martine Vrijheid
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona 08003, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain
| | - Hasan Arshad
- Faculty of Medicine, Clinical & Experimental Sciences, University of Southampton, Southampton SO16 6YD, UK
| | - Josep M Antó
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona 08003, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain; Hospital del Mar Medical Research Institute (IMIM), Barcelona 08003, Spain
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam 3000 CA, the Netherlands
| | - Wilfried Karmaus
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN 38152, USA
| | - Isabella Annesi-Maesano
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, Pierre Louis Institute of Epidemiology and Public Health (IPLESP UMRS 1136), Epidemiology of Allergic and Respiratory Diseases Department (EPAR), Saint-Antoine Medical School, F75012 Paris, France
| | - Jordi Sunyer
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona 08003, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain; Hospital del Mar Medical Research Institute (IMIM), Barcelona 08003, Spain
| | - Akram Ghantous
- Epigenetics Group, International Agency for Research on Cancer (IARC), 69008 Lyon, France
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm 171 77, Sweden
| | - Nina Holland
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California Berkeley, Berkeley, CA 94720-7360, USA
| | - Susan K Murphy
- Departments of Obstetrics and Gynecology and Pathology, Duke University School of Medicine, Durham, NC 27710, USA
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Esteban G Burchard
- Department of Medicine, University of California, San Francisco, San Francisco, CA 94143-2911, USA; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94143-2911, USA
| | - Christine Ladd-Acosta
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Wenche Nystad
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo 0403, Norway
| | - Gerard H Koppelman
- GRIAC Research Institute Groningen, University of Groningen, University Medical Center Groningen, 9700 RB, the Netherlands; Department of Pediatric Pulmonology and Pediatric Allergology, Beatrix Children's Hospital, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Vincent W V Jaddoe
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam 3000 CA, the Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam 3000 CA, the Netherlands; The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3000 CA the Netherlands
| | - Allen Wilcox
- National Institute of Environmental Health Sciences, NIH, U.S. Department of Health and Human Services, Research Triangle Park, NC 27709, USA
| | - Erik Melén
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm 171 77, Sweden; Sachs' Children's Hospital and Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm 171 77, Sweden
| | - Stephanie J London
- National Institute of Environmental Health Sciences, NIH, U.S. Department of Health and Human Services, Research Triangle Park, NC 27709, USA.
| |
Collapse
|
12
|
Li M, Li J, Wei C, Lu Q, Tang X, Erickson SW, Macleod SL, Hobbs CA. A Three-Way Interaction among Maternal and Fetal Variants Contributing to Congenital Heart Defects. Ann Hum Genet 2016; 80:20-31. [PMID: 26612412 PMCID: PMC4839294 DOI: 10.1111/ahg.12139] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2015] [Accepted: 09/11/2015] [Indexed: 12/26/2022]
Abstract
Congenital heart defects (CHDs) develop through a complex interplay between genetic variants, epigenetic modifications, and maternal environmental exposures. Genetic studies of CHDs have commonly tested single genetic variants for association with CHDs. Less attention has been given to complex gene-by-gene and gene-by-environment interactions. In this study, we applied a recently developed likelihood-ratio Mann-Whitney (LRMW) method to detect joint actions among maternal variants, fetal variants, and maternal environmental exposures, allowing for high-order statistical interactions. All subjects are participants from the National Birth Defect Prevention Study, including 623 mother-offspring pairs with CHD-affected pregnancies and 875 mother-offspring pairs with unaffected pregnancies. Each individual has 872 single nucleotide polymorphisms encoding for critical enzymes in the homocysteine, folate, and trans-sulfuration pathways. By using the LRMW method, three variants (fetal rs625879, maternal rs2169650, and maternal rs8177441) were identified with a joint association to CHD risk (nominal P-value = 1.13e-07). These three variants are located within genes BHMT2, GSTP1, and GPX3, respectively. Further examination indicated that maternal SNP rs2169650 may interact with both fetal SNP rs625879 and maternal SNP rs8177441. Our findings suggest that the risk of CHD may be influenced by both the intragenerational interaction within the maternal genome and the intergenerational interaction between maternal and fetal genomes.
Collapse
Affiliation(s)
- Ming Li
- Department of Epidemiology and Biostatistics, Indiana University at Bloomington, Bloomington, IN 47405
| | - Jingyun Li
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR. 72211
| | - Changshuai Wei
- Department of Epidemiology and Biostatistics, University of North Texas Health Science Center, Fort Worth, TX 76107
| | - Qing Lu
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI 48824
| | - Xinyu Tang
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR. 72211
| | - Stephen W. Erickson
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR. 72211
| | - Stewart L. Macleod
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR. 72211
| | - Charlotte A. Hobbs
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR. 72211
| | | |
Collapse
|
13
|
Bartman CM, Egelston J, Kattula S, Zeidner LC, D’Ippolito A, Doble BW, Phiel CJ. Gene Expression Profiling in Mouse Embryonic Stem Cells Reveals Glycogen Synthase Kinase-3-Dependent Targets of Phosphatidylinositol 3-Kinase and Wnt/β-Catenin Signaling Pathways. Front Endocrinol (Lausanne) 2014; 5:133. [PMID: 25165462 PMCID: PMC4131280 DOI: 10.3389/fendo.2014.00133] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2014] [Accepted: 07/28/2014] [Indexed: 11/13/2022] Open
Abstract
Glycogen synthase kinase-3 (Gsk-3) activity is an important regulator of numerous signal transduction pathways. Gsk-3 activity is the sum of two largely redundant proteins, Gsk-3α and Gsk-3β, and in general, Gsk-3 is a negative regulator of cellular signaling. Genetic deletion of both Gsk-3α and Gsk-3β in mouse embryonic stem cells (ESCs) has previously been shown to lead to the constitutive activation of the Wnt/β-catenin signaling pathway. However, in addition to Wnt signaling, all Gsk-3-regulated pathways, such as insulin signaling, are also affected simultaneously in Gsk-3α(-) (/) (-); Gsk-3β(-) (/) (-)ESCs. In an effort to better understand how specific signaling pathways contribute to the global pattern of gene expression in Gsk-3α(-) (/) (-); Gsk-3β(-) (/) (-)ESCs, we compared the gene expression profiles in Gsk-3α(-) (/) (-); Gsk-3β(-) (/) (-) ESCs to mouse ESCs in which either Wnt/β-catenin signaling or phosphatidylinositol 3-kinase (PI3K)-dependent insulin signaling are constitutively active. Our results show that Wnt signaling has a greater effect on up-regulated genes in the Gsk-3α(-) (/) (-); Gsk-3β(-) (/) (-)ESCs, whereas PI3K-dependent insulin signaling is more responsible for the down-regulation of genes in the same cells. These data show the importance of Gsk-3 activity on gene expression in mouse ESCs, and that these effects are due to the combined effects of multiple signaling pathways.
Collapse
Affiliation(s)
- Colleen M. Bartman
- Department of Integrative Biology, University of Colorado Denver, Denver, CO, USA
| | - Jennifer Egelston
- Department of Integrative Biology, University of Colorado Denver, Denver, CO, USA
| | - Sravya Kattula
- Department of Integrative Biology, University of Colorado Denver, Denver, CO, USA
| | - Leigh C. Zeidner
- Center for Human and Molecular Genetics, Research Institute at Nationwide Children’s Hospital, Columbus, OH, USA
| | - Anthony D’Ippolito
- Center for Human and Molecular Genetics, Research Institute at Nationwide Children’s Hospital, Columbus, OH, USA
| | - Bradley W. Doble
- Stem Cell and Cancer Research Institute, Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada
| | - Christopher J. Phiel
- Department of Integrative Biology, University of Colorado Denver, Denver, CO, USA
- *Correspondence: Christopher J. Phiel, Department of Integrative Biology, University of Colorado Denver, Campus Box 171, P.O. Box 173364, Denver, CO 80217-3364, USA e-mail:
| |
Collapse
|
14
|
Lienhart WD, Gudipati V, Macheroux P. The human flavoproteome. Arch Biochem Biophys 2013; 535:150-62. [PMID: 23500531 PMCID: PMC3684772 DOI: 10.1016/j.abb.2013.02.015] [Citation(s) in RCA: 152] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2012] [Revised: 02/21/2013] [Accepted: 02/23/2013] [Indexed: 11/26/2022]
Abstract
Vitamin B2 (riboflavin) is an essential dietary compound used for the enzymatic biosynthesis of FMN and FAD. The human genome contains 90 genes encoding for flavin-dependent proteins, six for riboflavin uptake and transformation into the active coenzymes FMN and FAD as well as two for the reduction to the dihydroflavin form. Flavoproteins utilize either FMN (16%) or FAD (84%) while five human flavoenzymes have a requirement for both FMN and FAD. The majority of flavin-dependent enzymes catalyze oxidation-reduction processes in primary metabolic pathways such as the citric acid cycle, β-oxidation and degradation of amino acids. Ten flavoproteins occur as isozymes and assume special functions in the human organism. Two thirds of flavin-dependent proteins are associated with disorders caused by allelic variants affecting protein function. Flavin-dependent proteins also play an important role in the biosynthesis of other essential cofactors and hormones such as coenzyme A, coenzyme Q, heme, pyridoxal 5'-phosphate, steroids and thyroxine. Moreover, they are important for the regulation of folate metabolites by using tetrahydrofolate as cosubstrate in choline degradation, reduction of N-5.10-methylenetetrahydrofolate to N-5-methyltetrahydrofolate and maintenance of the catalytically competent form of methionine synthase. These flavoenzymes are discussed in detail to highlight their role in health and disease.
Collapse
Affiliation(s)
| | | | - Peter Macheroux
- Graz University of Technology, Institute of Biochemistry, Petersgasse 12, A-8010 Graz, Austria
| |
Collapse
|
15
|
Association Between Betaine Homocysteine S-Methyl Transferase (BHMT) rs3797546 Gene Polymorphisms and the Risk of Nonsyndromic Cleft Lip and/or Cleft Palate in South-East Population of Iran. HEALTH SCOPE 2012. [DOI: 10.5812/jhs.8381] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
|
16
|
Lupo PJ, Nousome D, Kamdar KY, Okcu MF, Scheurer ME. A case-parent triad assessment of folate metabolic genes and the risk of childhood acute lymphoblastic leukemia. Cancer Causes Control 2012; 23:1797-803. [PMID: 22941668 DOI: 10.1007/s10552-012-0058-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2012] [Accepted: 08/22/2012] [Indexed: 10/27/2022]
Abstract
PURPOSE We conducted a case-parent triad study evaluating the role of maternal and offspring genotypes in the folate metabolic pathway on childhood acute lymphoblastic leukemia (ALL) risk. METHODS Childhood ALL case-parent triads (n = 120) were recruited from Texas Children's Hospital. DNA samples were genotyped using the Sequenom iPLEX MassARRAY for 68 tagSNPs in six folate metabolic pathway genes (MTHFR, MTRR, MTR, DHFR, BHMT, and TYMS). Log-linear modeling was used to examine the associations between maternal and offspring genotypes and ALL. RESULTS After controlling for the false discovery rate (<0.1), there were 20 significant maternal effects in the following genes: BHMT (n = 3), MTR (n = 12), and TYMS (n = 5). For instance, maternal genotypes for BHMT rs558133 (relative risk [RR] = 0.51, 95 % confidence interval [CI]: 0.30-0.87, p = 0.008, Q = 0.08) and MTR rs2282369 (RR = 0.46, 95 % CI: 0.27-0.80, p = 0.004, Q = 0.08) were associated with ALL. There were no significant offspring effects after controlling for the false discovery rate. CONCLUSIONS This is one of the few studies conducted to evaluate maternal genetic effects in the context of childhood ALL risk. Furthermore, we employed a family-based design that is less susceptible to population stratification bias in the estimation of maternal genetic effects. Our findings suggest that maternal genetic variation in the folate metabolic pathway is relevant in the etiology of childhood ALL. The observed maternal genetic effects support the need for continued research of how the uterine environment may influence risk of ALL.
Collapse
Affiliation(s)
- Philip J Lupo
- Human Genetics Center, Division of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Houston, TX, USA
| | | | | | | | | |
Collapse
|
17
|
Kim S, Parks CG, Xu Z, Carswell G, DeRoo LA, Sandler DP, Taylor JA. Association between genetic variants in DNA and histone methylation and telomere length. PLoS One 2012; 7:e40504. [PMID: 22792358 PMCID: PMC3394714 DOI: 10.1371/journal.pone.0040504] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2012] [Accepted: 06/11/2012] [Indexed: 12/18/2022] Open
Abstract
Telomere length, a biomarker of aging and age-related diseases, exhibits wide variation between individuals. Common genetic variation may explain some of the individual differences in telomere length. To date, however, only a few genetic variants have been identified in the previous genome-wide association studies. As emerging data suggest epigenetic regulation of telomere length, we investigated 72 single nucleotide polymorphisms (SNPs) in 46 genes that involve DNA and histone methylation as well as telomerase and telomere-binding proteins and DNA damage response. Genotyping and quantification of telomere length were performed in blood samples from 989 non-Hispanic white participants of the Sister Study, a prospective cohort of women aged 35-74 years. The association of each SNP with logarithmically-transformed relative telomere length was estimated using multivariate linear regression. Six SNPs were associated with relative telomere length in blood cells with p-values<0.05 (uncorrected for multiple comparisons). The minor alleles of BHMT rs3733890 G>A (p = 0.041), MTRR rs2966952 C>T (p = 0.002) and EHMT2 rs558702 G>A (p = 0.008) were associated with shorter telomeres, while minor alleles of ATM rs1801516 G>A (p = 0.031), MTR rs1805087 A>G (p = 0.038) and PRMT8 rs12299470 G>A (p = 0.019) were associated with longer telomeres. Five of these SNPs are located in genes coding for proteins involved in DNA and histone methylation. Our results are consistent with recent findings that chromatin structure is epigenetically regulated and may influence the genomic integrity of telomeric region and telomere length maintenance. Larger studies with greater coverage of the genes implicated in DNA methylation and histone modifications are warranted to replicate these findings.
Collapse
Affiliation(s)
- Sangmi Kim
- Department of Medicine - Section of Hematology/Oncology, Georgia Health Sciences University Cancer Center, Augusta, Georgia, United States of America
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, United States of America
- * E-mail: (SK); (JAT)
| | - Christine G. Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, United States of America
| | - Zongli Xu
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, United States of America
- Laboratory of Molecular Carcinogenesis, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, United States of America
| | - Gleta Carswell
- Laboratory of Molecular Carcinogenesis, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, United States of America
| | - Lisa A. DeRoo
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, United States of America
| | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, United States of America
| | - Jack A. Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, United States of America
- Laboratory of Molecular Carcinogenesis, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, United States of America
- * E-mail: (SK); (JAT)
| |
Collapse
|
18
|
Nsengimana J, Barrett JH. Analysis of genetic interactions involving maternal and offspring genotypes at different Loci: power simulation and application to testicular cancer. Genet Epidemiol 2012; 36:612-21. [PMID: 22740241 PMCID: PMC3504980 DOI: 10.1002/gepi.21655] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2011] [Revised: 05/10/2012] [Accepted: 05/17/2012] [Indexed: 11/06/2022]
Abstract
The analyses of genetic interaction between maternal and offspring genotypes are usually conducted considering a single locus. Here, we propose testing maternal × offspring (M×O) and maternal × maternal (M×M) genotype interactions involving two unlinked loci. We reformulate the log-linear approach of analyzing cases and their parents (family trios) to accommodate two loci, fit fuller models to avoid confounding in a first analysis step and propose that the model be reduced to the most prominent effects in a second step. We conduct extensive simulations to assess the validity and power of this approach under various model assumptions. We show that the approach is valid and has good power to detect M×O and M×M interactions. For example, the power to detect a dominant interaction relative risk of 1.5 (both M×O and M×M) is 70% with 300 trios and approaches 100% with 1,000 trios. Unlike the main effects, M×O and M×M interactions are conditionally independent of mating types, and consequently, their power is not affected by missing paternal genotypes. When applied to single-locus M×O interaction, our method is as powerful as other existing methods. Applying the method to testicular cancer, we found a nominally significant M×M interaction between single nucleotide polymorphisms from C-Kit Ligand (KITLG) and Sex Hormone Binding Globulin (SHBG) using 210 families (relative risk 2.2, P = 0.03). This finding supports a role of maternal hormones in offspring testicular cancer and warrants confirmation in a larger dataset.
Collapse
Affiliation(s)
- Jérémie Nsengimana
- Section of Epidemiology and Biostatistics, Leeds Institute of Molecular Medicine, University of Leeds, Leeds, United Kingdom.
| | | |
Collapse
|
19
|
Bhaskar L, Murthy J, Venkatesh Babu G. Polymorphisms in genes involved in folate metabolism and orofacial clefts. Arch Oral Biol 2011; 56:723-37. [DOI: 10.1016/j.archoralbio.2011.01.007] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2010] [Revised: 01/18/2011] [Accepted: 01/18/2011] [Indexed: 11/24/2022]
|
20
|
Hozyasz KK, Mostowska A, Szaflarska-Poplawska A, Lianeri M, Jagodzinski PP. Polymorphic variants of genes involved in homocysteine metabolism in celiac disease. Mol Biol Rep 2011; 39:3123-30. [PMID: 21688148 PMCID: PMC3271217 DOI: 10.1007/s11033-011-1077-7] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2010] [Accepted: 06/10/2011] [Indexed: 12/31/2022]
Abstract
Celiac disease (CD) is a polygenic chronic enteropathy conferring an increased risk for various nutrient deficiency states. Hyperhomocysteinemia is a frequent finding in CD and may be related to the development of venous thrombosis, cardiovascular disease, and stroke in untreated CD patients. Recently, a possible excess in the frequency of the MTHFR c.677C>T (rs1801133) gene variant in CD patients was reported. The purpose of this study was to determine if there exist differences in the distribution of polymorphic variants of genes involved in homocysteine/methyl group metabolism between CD patients and the general population. A set of 10 gene polymorphisms (MTHFR rs1801133, MTR rs1805087, MTHFD1 rs2236225, MTRR rs1801394, CBS 844ins68, BHMT1 rs7356530 and rs3733890, BHMT2 rs526264 and rs625879, and TCN2 rs1801198) was tested in 134 patients with CD and 160 matched healthy controls. The frequency of the MTR rs1805087 GG genotype in CD patients was lower than in controls (0.01 and 0.06, respectively), although statistical significance was not achieved (P = 0.06). For the other analyzed polymorphisms, there was no evidence of difference in both allelic and genotypic distribution between cases and controls. The exhaustive Multifactor Dimensionality Reduction analysis revealed no combination of interactive polymorphisms predicting the incidence of CD. In contrast to the well-documented clinical observations of increased risks of vascular disease in patients with longstanding untreated CD, in our group of patients no significant association with CD was found for all tested polymorphic variants of genes involved in homocysteine metabolism. These findings should be replicated in studies with a larger sample size.
Collapse
Affiliation(s)
- Kamil K Hozyasz
- Department of Pediatrics, Institute of Mother and Child, 17a Kasprzaka Street, 01-211 Warsaw, Poland.
| | | | | | | | | |
Collapse
|
21
|
Martinelli M, Masiero E, Carinci F, Morselli PG, Pezzetti F, Scapoli L. New evidence for the role of cystathionine beta-synthase in non-syndromic cleft lip with or without cleft palate. Eur J Oral Sci 2011; 119:193-7. [DOI: 10.1111/j.1600-0722.2011.00824.x] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|
22
|
Mostowska A, Biedziak B, Dunin-Wilczynska I, Komorowska A, Jagodzinski PP. Polymorphisms in CHDH gene and the risk of tooth agenesis. ACTA ACUST UNITED AC 2011; 91:169-76. [PMID: 21308979 DOI: 10.1002/bdra.20771] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2010] [Revised: 11/14/2010] [Accepted: 11/18/2010] [Indexed: 11/07/2022]
Abstract
BACKGROUND Tooth agenesis is one of the most common anomalies of human dentition and is due to a complex and not fully elucidated etiology. The purpose of this study was to evaluate the possibility that polymorphic variants of genes encoding the main folate and choline metabolism enzymes might be associated with the risk of hypodontia in the Polish population. METHODS AND RESULTS We analyzed 21 polymorphisms of 13 candidate genes and found that single nucleotide polymorphisms (SNPs) in the CHDH gene are significantly correlated with the risk of dental agenesis. The strongest association was found for the SNP located in the intronic sequence of CHDH. Individuals carrying one copy of the rs6445606 C allele had an over two-fold decreased risk of having hypodontia (odds ratio [OR]CTvsTT=0.434; 95% confidence interval [CI], 0.2724-0.6915; p=0.0004; pcorr=0.0084). A reduced risk of tooth agenesis was also observed in individuals with one or two copies of the rs6445606 C allele compared to T allele carriers (ORCT+CCvsTT=0.524; 95% CI, 0.3386-0.8097; p=0.0035; pcorr=0.0735). Moreover, the gene-gene interaction analysis revealed a significant epistatic interaction between CHDH (rs6445606) and PLD2 (rs3764897) in the susceptibility to hypodontia (p=0.004). CONCLUSION Our study identified CHDH and PLD2 as novel candidate genes, the nucleotide variants of which could be associated with the risk of tooth agenesis.
Collapse
Affiliation(s)
- Adrianna Mostowska
- Department of Biochemistry and Molecular Biology, Poznan University of Medical Sciences, Poznan, Poland.
| | | | | | | | | |
Collapse
|
23
|
Hozyasz KK. The search for risk factors that contribute to the etiology of non-syndromic cleft lip with or without cleft palate (CL/P) in the Polish population. ACTA ACUST UNITED AC 2010. [DOI: 10.1016/s0031-3939(10)70562-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
|