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Li MH, Chen IC, Yang HW, Yen HC, Huang YC, Hsu CC, Chen YM, Ke YY. The characterization and comorbidities of heterozygous Bardet-Biedl syndrome carriers. Int J Med Sci 2024; 21:784-794. [PMID: 38617006 PMCID: PMC11008491 DOI: 10.7150/ijms.92766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/10/2024] [Indexed: 04/16/2024] Open
Abstract
Introduction: Bardet-Biedl syndrome (BBS) is a rare autosomal recessive disorder with clinical features of retinal dystrophy, obesity, postaxial polydactyly, renal anomalies, learning disabilities, hypogonadism, and genitourinary abnormalities. Nevertheless, previous studies on the phenotypic traits of BBS heterozygous carriers have generated inconclusive results. The aim of our study was to investigate the impact of BBS heterozygosity on carriers when compared to non-carriers within the Taiwanese population. Materials and Methods: This study follows a hospital-based case-control design. We employed the Taiwan Biobank version 2 (TWBv2) array to identify three specific loci associated with BBS (rs773862084, rs567573386, and rs199910690). In total, 716 patients were included in the case group, and they were compared to a control group of 2,864 patients who lacked BBS alleles. The control group was selected through gender and age matching at a ratio of 1:4. The association between BBS-related loci and comorbidity was assessed using logistic regression models. Results: We found that BBS heterozygous carriers exhibited a significant association with elevated BMI levels, especially the variant rs199910690 in MKS1 (p=0.0037). The prevalence of comorbidities in the carriers' group was not higher than that in the non-carriers' group. Besides, the average values of the biochemistry data showed no significant differences, except for creatinine level. Furthermore, we conducted a BMI-based analysis to identify specific risk factors for chronic kidney disease (CKD). Our findings revealed that individuals carrying the CA/AA genotype of the BBS2 rs773862084 variant or the CT/TT genotype of the MKS1 rs199910690 variant showed a reduced risk of developing CKD, irrespective of their BMI levels. When stratified by BMI level, obese males with the MKS1 rs199910690 variant and obese females with the BBS2 rs773862084 variant exhibited a negative association with CKD development. Conclusion: We found that aside from the association with overweight and obesity, heterozygous BBS mutations did not appear to increase the predisposition of individuals to comorbidities and metabolic diseases. To gain a more comprehensive understanding of the genetic susceptibility associated with Bardet-Biedl Syndrome (BBS), further research is warranted.
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Affiliation(s)
- Meng-Hua Li
- Division of Pediatric Genetics and Metabolism, Children's Medical Center, Taichung Veterans General Hospital, Taichung, Taiwan
| | - I-Chieh Chen
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Hui-Wen Yang
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Hsin-Chien Yen
- Division of Pediatric Genetics and Metabolism, Children's Medical Center, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Yung-Chieh Huang
- Division of Nephrology, Department of Pediatrics, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Chia-Chi Hsu
- Division of Pediatric Genetics and Metabolism, Children's Medical Center, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yi-Ming Chen
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Division of Allergy, Immunology, and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- Institute of Biomedical Science and Rong Hsing Research Center for Translational Medicine, National Chung Hsing University, Taiwan
| | - Yu-Yuan Ke
- Division of Pediatric Genetics and Metabolism, Children's Medical Center, Taichung Veterans General Hospital, Taichung, Taiwan
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Ren N, Dai S, Ma S, Yang F. Strategies for activity analysis of single nucleotide polymorphisms associated with human diseases. Clin Genet 2023; 103:392-400. [PMID: 36527336 DOI: 10.1111/cge.14282] [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: 10/26/2022] [Revised: 12/10/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022]
Abstract
Genome-wide association studies (GWAS) have identified a large number of single nucleotide polymorphism (SNP) sites associated with human diseases. In the annotation of human diseases, especially cancers, SNPs, as an important component of genetic factors, have gained increasing attention. Given that most of the SNPs are located in non-coding regions, the functional verification of these SNPs is a great challenge. The key to functional annotation for risk SNPs is to screen SNPs with regulatory activity from thousands of disease associated-SNPs. In this review, we systematically recapitulate the characteristics and functional roles of SNP sites, discuss three parallel reporter screening strategies in detail based on barcode tag classification, and recommend the common in silico strategies to help supplement the annotation of SNP sites with epigenetic activity analysis, prediction of target genes and trans-acting factors. We hope that this review will contribute to this exuberant research field by providing robust activity analysis strategies that can facilitate the translation of GWAS results into personalized diagnosis and prevention measures for human diseases.
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Affiliation(s)
- Naixia Ren
- School of Life Sciences and Medicine, Shandong University of Technology, Zibo, China
| | - Shangkun Dai
- School of Life Sciences and Medicine, Shandong University of Technology, Zibo, China
| | - Shumin Ma
- School of Medicine and Pharmacy, Ocean University of China, Qingdao, China
| | - Fengtang Yang
- School of Life Sciences and Medicine, Shandong University of Technology, Zibo, China
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Handley D, Rafey MF, Almansoori S, Brazil JF, McCarthy A, Amin HA, O’Donnell M, Blakemore AI, Finucane FM. Higher Waist Hip Ratio Genetic Risk Score Is Associated with Reduced Weight Loss in Patients with Severe Obesity Completing a Meal Replacement Programme. J Pers Med 2022; 12:jpm12111881. [PMID: 36579607 PMCID: PMC9695448 DOI: 10.3390/jpm12111881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 10/24/2022] [Accepted: 11/03/2022] [Indexed: 11/12/2022] Open
Abstract
Background: A better understanding of the influence of genetic factors on the response to lifestyle interventions in people with obesity may allow the development of more personalised, effective and efficient therapeutic strategies. We sought to determine the influence of six obesity-related genetic risk scores on the magnitude of weight lost by patients with severe obesity who completed a dietary intervention. Methods: In this single-centre prospective cohort study, participants with severe and complicated obesity who completed a 24-week, milk-based meal replacement programme were genotyped to detect the frequency of common risk alleles for obesity and type 2 diabetes-related traits. Genetic risk scores (GRS) for six of these traits were derived. Participants with a potentially deleterious monogenic gene variant were excluded from the analysis. Results: In 93 patients completing the programme who were not carrying a known obesity-related gene mutation, 35.5% had diabetes, 53.8% were female, mean age was 51.4 ± 11 years, mean body mass index was 51.5 ± 8.7 and mean total weight loss percent at 24 weeks was 16 ± 6.3%. The waist-hip ratio (WHR) GRS was inversely associated with percentage total weight loss at 24 weeks (adjusted β for one standard deviation increase in WHR GRS -11.6 [-23.0, -0.3], p = 0.045), and patients in the lowest tertile of WHR GRS lost more weight. Conclusions: Patients with severe and complicated obesity with a genetic predisposition to central fat accumulation had less weight loss in a 24-week milk-based meal replacement programme, but there was no evidence for influence from the five other obesity-related genetic risk scores on the response to dietary restriction.
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Affiliation(s)
- Dale Handley
- College of Health, Medical and Life Sciences, Brunel University London, London UB8 3PH, UK
| | - Mohammed Faraz Rafey
- Bariatric Medicine Service, Centre for Diabetes, Endocrinology and Metabolism, Galway University Hospitals, H91 YR71 Galway, Ireland
- HRB Clinical Research Facility, University of Galway, H91 CF50 Galway, Ireland
- Department of Medicine, University of Galway, H91 CF50 Galway, Ireland
| | - Sumaya Almansoori
- College of Health, Medical and Life Sciences, Brunel University London, London UB8 3PH, UK
- Faculty of Medicine, Imperial College London, London SW7 2BX, UK
- International Centre for Forensic Science, General Department of Forensic Science and Criminology, Dubai Police, Dubai 00000, United Arab Emirates
| | - John F. Brazil
- Bariatric Medicine Service, Centre for Diabetes, Endocrinology and Metabolism, Galway University Hospitals, H91 YR71 Galway, Ireland
- HRB Clinical Research Facility, University of Galway, H91 CF50 Galway, Ireland
- Department of Medicine, University of Galway, H91 CF50 Galway, Ireland
| | - Aisling McCarthy
- Bariatric Medicine Service, Centre for Diabetes, Endocrinology and Metabolism, Galway University Hospitals, H91 YR71 Galway, Ireland
| | - Hasnat A. Amin
- College of Health, Medical and Life Sciences, Brunel University London, London UB8 3PH, UK
| | - Martin O’Donnell
- HRB Clinical Research Facility, University of Galway, H91 CF50 Galway, Ireland
- Department of Medicine, University of Galway, H91 CF50 Galway, Ireland
| | - Alexandra I. Blakemore
- College of Health, Medical and Life Sciences, Brunel University London, London UB8 3PH, UK
- Department of Medicine, University of Galway, H91 CF50 Galway, Ireland
- Faculty of Medicine, Imperial College London, London SW7 2BX, UK
| | - Francis M. Finucane
- College of Health, Medical and Life Sciences, Brunel University London, London UB8 3PH, UK
- Bariatric Medicine Service, Centre for Diabetes, Endocrinology and Metabolism, Galway University Hospitals, H91 YR71 Galway, Ireland
- HRB Clinical Research Facility, University of Galway, H91 CF50 Galway, Ireland
- Department of Medicine, University of Galway, H91 CF50 Galway, Ireland
- Correspondence: ; Tel.: +353-(39)-1893803
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Lu TP, Kamatani Y, Belbin G, Park T, Hsiao CK. Editorial: Current Status and Future Challenges of Biobank Data Analysis. Front Genet 2022; 13:882611. [PMID: 35495141 PMCID: PMC9047950 DOI: 10.3389/fgene.2022.882611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 03/24/2022] [Indexed: 11/23/2022] Open
Affiliation(s)
- Tzu-Pin Lu
- Department of Public Health, College of Public Health, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan
| | - Yoichiro Kamatani
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Gillian Belbin
- Institute of Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Taesung Park
- Department of Statistics, Seoul National University, Seoul, South Korea
| | - Chuhsing Kate Hsiao
- Department of Public Health, College of Public Health, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan
- *Correspondence: Chuhsing Kate Hsiao,
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