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Yao Q, Chen X, Zhang Y, Chen H, Dou Y, He W, Sheng W, Ma X, Liu F, Yan W, Huang G. Genome-Wide Association Study Identifies Genetic Polymorphisms for Folate-Related Biomarkers in Chinese Preconception Women. J Nutr 2024; 154:3592-3602. [PMID: 39374789 DOI: 10.1016/j.tjnut.2024.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Revised: 09/27/2024] [Accepted: 10/03/2024] [Indexed: 10/09/2024] Open
Abstract
BACKGROUND Single-nucleotide polymorphism (SNP) allele frequencies, dietary habits, and folate status and their associations vary across ethnic populations. Little is known about the SNPs accounting for variations of folate-related biomarkers for Chinese preparing-for-pregnant females. OBJECTIVES We aimed to identify SNPs contributing to RBC and serum folate, vitamin B-12, and homocysteine concentrations in Chinese female preconception population. METHODS A genome-wide association study was conducted on 1000 randomly selected preconception Chinese women from the Shanghai Preconception Cohort. SNPs were genotyped using Illumina chips, and associations with biomarkers were assessed using simple linear regression models under the assumption of an additive genetic model. Genome-wide significance was considered at P < 10-7. RESULTS The MTHFR rs1801133 was the major genetic coding variant contributing to RBC folate, serum folate, and homocysteine concentrations (P = 2.28 × 10-16; P = 8.85 × 10-8, and P = 2.46 × 10-13, repsectively). It is associated with increased RBC folate (β: 0.154 per additional risk allele after log transform), decreased serum folate (β: -0.951 per additional risk allele), and increased serum homocysteine concentrations (β: 1.153 per additional risk allele). The predominant SNP associated with serum folate was rs147162222 in NTRK2 (P = 2.55 × 10-8), although that associated with homocysteine was rs77025184 located between PDE7B and LINC00271 (P = 4.91 × 10-17). For vitamin B-12, FUT2 rs1047781 was the dominant genetic variant (P = 1.59 × 10-10). The numbers of signals with a P value of <10-7 for RBC folate, serum folate, vitamin B-12, and homocysteine were 12, 18, 8, and 614, respectively. CONCLUSIONS This study represents the first genome-wide association study focusing on folate-related biomarkers in a Chinese preparing-for-pregnant female population. The contributions of dominent SNPs to each biomarker are partly different from other populations. The rs1801133 (C677T) in MTHFR is the predominant genetic variant contributing to RBC folate and rs1047781 (A385T) in FUT2 as the primary one explaining vitamin B-12. Notably, the intronic rs147162222 and noncoding rs77025184 are the predominant SNPs for serum folate and homocysteine, respectively.
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Affiliation(s)
- Qinyu Yao
- Pediatric Heart Center, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China; Research Unit of Early Intervention of Genetically Related Childhood Cardiovascular Diseases (2018RU002), Chinese Academy of Medical Sciences, Beijing, China; Shanghai Key Laboratory of Birth Defects, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Xiaotian Chen
- Research Unit of Early Intervention of Genetically Related Childhood Cardiovascular Diseases (2018RU002), Chinese Academy of Medical Sciences, Beijing, China; Department of Clinical Epidemiology and Clinical Trial Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Yi Zhang
- Research Unit of Early Intervention of Genetically Related Childhood Cardiovascular Diseases (2018RU002), Chinese Academy of Medical Sciences, Beijing, China; Department of Clinical Epidemiology and Clinical Trial Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Hongyan Chen
- Research Unit of Early Intervention of Genetically Related Childhood Cardiovascular Diseases (2018RU002), Chinese Academy of Medical Sciences, Beijing, China; Shanghai Key Laboratory of Birth Defects, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Yalan Dou
- Department of Clinical Epidemiology and Clinical Trial Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Wennan He
- Department of Clinical Epidemiology and Clinical Trial Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Wei Sheng
- Pediatric Heart Center, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China; Research Unit of Early Intervention of Genetically Related Childhood Cardiovascular Diseases (2018RU002), Chinese Academy of Medical Sciences, Beijing, China; Shanghai Key Laboratory of Birth Defects, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Xiaojing Ma
- Pediatric Heart Center, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China; Research Unit of Early Intervention of Genetically Related Childhood Cardiovascular Diseases (2018RU002), Chinese Academy of Medical Sciences, Beijing, China; Shanghai Key Laboratory of Birth Defects, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Fang Liu
- Pediatric Heart Center, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China; Research Unit of Early Intervention of Genetically Related Childhood Cardiovascular Diseases (2018RU002), Chinese Academy of Medical Sciences, Beijing, China; Shanghai Key Laboratory of Birth Defects, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Weili Yan
- Research Unit of Early Intervention of Genetically Related Childhood Cardiovascular Diseases (2018RU002), Chinese Academy of Medical Sciences, Beijing, China; Shanghai Key Laboratory of Birth Defects, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China; Department of Clinical Epidemiology and Clinical Trial Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
| | - Guoying Huang
- Pediatric Heart Center, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China; Research Unit of Early Intervention of Genetically Related Childhood Cardiovascular Diseases (2018RU002), Chinese Academy of Medical Sciences, Beijing, China; Shanghai Key Laboratory of Birth Defects, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
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Cheng TYD, Ilozumba MN, Balavarca Y, Neuhouser ML, Miller JW, Beresford SAA, Zheng Y, Song X, Duggan DJ, Toriola AT, Bailey LB, Green R, Caudill MA, Ulrich CM. Associations between Genetic Variants and Blood Biomarkers of One-Carbon Metabolism in Postmenopausal Women from the Women's Health Initiative Observational Study. J Nutr 2022; 152:1099-1106. [PMID: 34967850 PMCID: PMC8971010 DOI: 10.1093/jn/nxab444] [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: 08/06/2021] [Revised: 09/17/2021] [Accepted: 12/24/2021] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Genetic variation in one-carbon metabolism may affect nutrient concentrations and biological functions. However, data on genetic variants associated with blood biomarkers of one-carbon metabolism in US postmenopausal women are limited, and whether these associations were affected by the nationwide folic acid (FA) fortification program is unclear. OBJECTIVES We investigated associations between genetic variants and biomarkers of one-carbon metabolism using data from the Women's Health Initiative Observational Study. METHODS In 1573 non-Hispanic White (NHW) and 282 Black/African American, American Indian/Alaska Native, Asian/Pacific Islander, and Hispanic/Latino women aged 50-79 y, 288 nonsynonymous and tagging single-nucleotide variants (SNVs) were genotyped. RBC folate, plasma folate, pyridoxal-5'-phosphate (PLP), vitamin B-12, homocysteine, and cysteine concentrations were determined in 12-h fasting blood. Multivariable linear regression tested associations per variant allele and for an aggregated genetic risk score. Effect modifications before, during, and after nationwide FA fortification were examined. RESULTS After correction for multiple comparisons, among NHW women, 5,10-methylenetetrahydrofolate reductase (MTHFR) rs1801133 (677C→T) variant T was associated with lower plasma folate (-13.0%; 95% CI: -17.3%, -8.6%) and higher plasma homocysteine (3.5%; 95% CI: 1.7%, 5.3%) concentrations. Other associations for nonsynonymous SNVs included DNMT3A rs11695471 (T→A) with plasma PLP; EHMT2 rs535586 (G→A), TCN2 rs1131603 (L349S A→G), and TCN2 rs35838082 (R188W G→A) with plasma vitamin B-12; CBS rs2851391 (G→A) with plasma homocysteine; and MTHFD1 rs2236224 (G→A) and rs2236225 (R653Q G→A) with plasma cysteine. The influence of FA fortification on the associations was limited. Highest compared with lowest quartiles of aggregated genetic risk scores from SNVs in MTHFR and MTRR were associated with 14.8% to 18.9% lower RBC folate concentrations. Gene-biomarker associations were similar in women of other races/ethnicities. CONCLUSIONS Our findings on genetic variants associated with several one-carbon metabolism biomarkers may help elucidate mechanisms of maintaining B vitamin status in postmenopausal women.
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Affiliation(s)
| | | | - Yesilda Balavarca
- Department of Preventive Oncology, National Center for Tumor Diseases and German Cancer Research Center, Heidelberg, Germany
| | - Marian L Neuhouser
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Joshua W Miller
- Department of Nutritional Sciences, Rutgers University, New Brunswick, NJ, USA
| | - Shirley A A Beresford
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Yingye Zheng
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Xiaoling Song
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - David J Duggan
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Adetunji T Toriola
- Department of Surgery, Division of Public Health Sciences, Washington University School of Medicine, St. Louis, MO, USA
| | - Lynn B Bailey
- Department of Foods and Nutrition, University of Georgia, Athens, GA, USA
| | - Ralph Green
- Department of Pathology and Laboratory Medicine, University of California Davis, Davis, CA, USA
| | - Marie A Caudill
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA
| | - Cornelia M Ulrich
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
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