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Thongrattana W, Arigul T, Suktitipat B, Pithukpakorn M, Sathornsumetee S, Wongsurawat T, Jenjaroenpun P. GLIMMERS: glioma molecular markers exploration using long-read sequencing. Bioinform Adv 2024; 4:vbae058. [PMID: 38736685 PMCID: PMC11087932 DOI: 10.1093/bioadv/vbae058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 02/28/2024] [Accepted: 04/12/2024] [Indexed: 05/14/2024]
Abstract
Summary The revised WHO guidelines for classifying and grading brain tumors include several copy number variation (CNV) markers. The turnaround time for detecting CNVs and alterations throughout the entire genome is drastically reduced with the customized read incremental approach on the nanopore platform. However, this approach is challenging for non-bioinformaticians due to the need to use multiple software tools, extract CNV markers and interpret results, which creates barriers due to the time and specialized resources that are necessary. To address this problem and help clinicians classify and grade brain tumors, we developed GLIMMERS: glioma molecular markers exploration using long-read sequencing, an open-access tool that automatically analyzes nanopore-based CNV data and generates simplified reports. Availability and implementation GLIMMERS is available at https://gitlab.com/silol_public/glimmers under the terms of the MIT license.
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Affiliation(s)
- Wichayapat Thongrattana
- Master of Science Program in Medical Bioinformatics (International Program), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Division of Medical Bioinformatics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Tantip Arigul
- Division of Medical Bioinformatics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Siriraj Long-read Lab (Si-LoL), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Integrative Computational BioScience (ICBS) Center, Mahidol University, Nakon Pathom 73000, Thailand
| | - Manop Pithukpakorn
- Siriraj Genomics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Division of Medical Genetics, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Sith Sathornsumetee
- Department of Medicine (Neurology), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Thidathip Wongsurawat
- Division of Medical Bioinformatics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Siriraj Long-read Lab (Si-LoL), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, United States
| | - Piroon Jenjaroenpun
- Division of Medical Bioinformatics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Siriraj Long-read Lab (Si-LoL), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, United States
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Wongsurawat T, Jenjaroenpun P, Anekwiang P, Arigul T, Thongrattana W, Jamshidi‐Parsian A, Boysen G, Suriyaphol P, Suktitipat B, Srirabheebhat P, Cheunsuchon P, Tanboon J, Nookaew I, Sathornsumetee S. Exploiting nanopore sequencing for characterization and grading of IDH-mutant gliomas. Brain Pathol 2024; 34:e13203. [PMID: 37574201 PMCID: PMC10711254 DOI: 10.1111/bpa.13203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 07/28/2023] [Indexed: 08/15/2023] Open
Abstract
The 2021 WHO Classification of Central Nervous System Tumors recommended evaluation of cyclin-dependent kinase inhibitor 2A/B (CDKN2A/B) deletion in addition to codeletion of 1p/19q to characterize IDH-mutant gliomas. Here, we demonstrated the use of a nanopore-based copy-number variation sequencing (nCNV-seq) approach to simultaneously identify deletions of CDKN2A/B and 1p/19q. The nCNV-seq approach was initially evaluated on three distinct glioma cell lines and then applied to 19 IDH-mutant gliomas (8 astrocytomas and 11 oligodendrogliomas) from patients. The whole-arm 1p/19q codeletion was detected in all oligodendrogliomas with high concordance among nCNV-seq, FISH, DNA methylation profiling, and whole-genome sequencing. For the CDKN2A/B deletion, nCNV-seq detected the loss in both astrocytoma and oligodendroglioma, with strong correlation with the CNV profiles derived from whole-genome sequencing (Pearson correlation (r) = 0.95, P < 2.2 × 10-16 to r = 0.99, P < 2.2 × 10-16 ) and methylome profiling. Furthermore, nCNV-seq can differentiate between homozygous and hemizygous deletions of CDKN2A/B. Taken together, nCNV-seq holds promise as a new, alternative approach for a rapid and simultaneous detection of the molecular signatures of IDH-mutant gliomas without capital expenditure for a sequencer.
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Affiliation(s)
- Thidathip Wongsurawat
- Division of Medical Bioinformatics, Department of Research and Development, Faculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
- Department of Biomedical Informatics, College of MedicineUniversity of Arkansas for Medical SciencesLittle RockArkansasUSA
| | - Piroon Jenjaroenpun
- Division of Medical Bioinformatics, Department of Research and Development, Faculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
- Department of Biomedical Informatics, College of MedicineUniversity of Arkansas for Medical SciencesLittle RockArkansasUSA
| | - Panatna Anekwiang
- Department of Medicine (Neurology), Faculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
| | - Tantip Arigul
- Division of Medical Bioinformatics, Department of Research and Development, Faculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
| | - Wichayapat Thongrattana
- Division of Medical Bioinformatics, Department of Research and Development, Faculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
| | - Azemat Jamshidi‐Parsian
- Department of Radiation OncologyUniversity of Arkansas for Medical SciencesLittle RockArkansasUSA
| | - Gunnar Boysen
- Department of Environmental and Occupational HealthUniversity of Arkansas for Medical SciencesLittle RockArkansasUSA
| | - Prapat Suriyaphol
- Division of Medical Bioinformatics, Department of Research and Development, Faculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
| | - Bhoom Suktitipat
- Division of Medical Bioinformatics, Department of Research and Development, Faculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
- Department of Biochemistry, Faculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
| | - Prajak Srirabheebhat
- Department of Surgery (Neurosurgery), Faculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
| | - Pornsuk Cheunsuchon
- Department of Pathology, Faculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
| | - Jantima Tanboon
- Department of Pathology, Faculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
| | - Intawat Nookaew
- Department of Biomedical Informatics, College of MedicineUniversity of Arkansas for Medical SciencesLittle RockArkansasUSA
| | - Sith Sathornsumetee
- Department of Medicine (Neurology), Faculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
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Hantaweepant C, Suktitipat B, Pithukpakorn M, Chinthammitr Y, Limwongse C, Tansiri N, Sawatnatee S, Takpradit C, Rotchanapanya W, Pongudom S, Charoenprasert K, Paiboonsukwong K, Thamprasert W, Nolwachai N, Rattanasawat W, Sae-Aeng B, Khorwanichakij N, Saetow P, Saengboon S, Kamjornpreecha K, Pholmoo W, Dujjawan B, Siritanaratkul N. Whole exome sequencing and rare variant association study to identify genetic modifiers, KLF1 mutations, and a novel double mutation in Thai patients with hemoglobin E/beta-thalassemia. Hematology 2023; 28:2187155. [PMID: 36939018 DOI: 10.1080/16078454.2023.2187155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2023] Open
Abstract
OBJECTIVES Clinical manifestations of patients with Hemoglobin E/beta-thalassemia vary from mild to severe phenotypes despite exhibiting the same genotype. Studies have partially identified genetic modifiers. We aimed to study the association between rare variants in protein-coding regions and clinical severity in Thai patients. METHODS From April to November 2018, a case-control study was conducted based on clinical information and DNA samples collected from Thai patients with hemoglobin E/beta-thalassemia over the age of four years. Cases were patients with severe symptoms, while patients with mild symptoms acted as controls. Whole exome sequencing and rare variant association study were used to analyze the data. RESULTS All 338 unrelated patients were classified into 165 severe and 173 mild cases. Genotypes comprised 81.4% of hemoglobin E/beta-thalassemia, 2.7% of homozygous or compound heterozygous beta-thalassemia, and 0.3% of (δβ)0 thalassemia Hb E while 15.7% of samples were not classified as beta-thalassemia. A novel cis heterozygotes of IVS I-7 (A > T) and codon 26 (G > A) was identified. Six genes (COL4A3, DLK1, FAM186A, PZP, THPO, and TRIM51) showed the strongest associations with severity (observed p-values of <0.05; significance lost after correction for multiplicity). Among known modifiers, KLF1 variants were found in four mild patients and one severe patient. CONCLUSION No rare variants were identified as contributors to the clinical heterogeneity of hemoglobin E/beta-thalassemia. KLF1 mutations are potential genetic modifiers. Studies to identify genetic factors are still important and helpful for predicting severity and developing targeted therapy.
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Affiliation(s)
- Chattree Hantaweepant
- Division of Hematology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Integrative Computational BioScience (ICBS) Center, Mahidol University, Nakhon Pathom, Thailand
| | - Manop Pithukpakorn
- Division of Medical Genetics, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Siriraj Genomics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Yingyong Chinthammitr
- Division of Hematology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Chanin Limwongse
- Division of Medical Genetics, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Nawaporn Tansiri
- Division of Hematology, Department of Medicine, Uttaradit Hospital, Uttaradit, Thailand
| | - Surasak Sawatnatee
- Division of Hematology, Department of Medicine, Sunpasitthiprasong Hospital, Ubon Ratchathani, Thailand
| | - Chayamon Takpradit
- Division of Hematology-Oncology, Department of Pediatrics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Wannaphorn Rotchanapanya
- Division of Hematology, Department of Medicine, Chiangrai Prachanukroh Hospital, Chiangrai, Thailand
| | - Saranya Pongudom
- Division of Hematology, Department of Medicine, Udonthani Hospital, Udonthani, Thailand
| | | | - Kittiphong Paiboonsukwong
- Thalassemia Research Center, Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom, Thailand
| | - Wichuda Thamprasert
- Division of Hematology, Department of Medicine, Nakhon Pathom Hospital, Nakhon Pathom, Thailand
| | - Narumol Nolwachai
- Division of Hematology, Department of Medicine, Saraburi Hospital, Saraburi, Thailand
| | - Wanlapa Rattanasawat
- Division of Hematology, Department of Medicine, Charoenkrung Pracharak Hospital, Bangkok, Thailand
| | - Busakorn Sae-Aeng
- Division of Hematology, Department of Medicine, Banphaeo General Hospital, Samutsakhon, Thailand
| | - Nisachon Khorwanichakij
- Division of Hematology, Department of Medicine, Chaophra Yommarat Hospital, Suphanburi, Thailand
| | - Putchong Saetow
- Division of Hematology, Department of Medicine, Faculty of Medicine, Lerdsin Hospital, Bangkok, Thailand
| | - Supawee Saengboon
- Division of Hematology, Department of Medicine, Faculty of Medicine, Thammasat University Hospital, Pathumthani, Thailand
| | | | - Wikanda Pholmoo
- Division of Hematology, Department of Medicine, Pathumthani Hospital, Pathumthani, Thailand
| | - Boonyanuch Dujjawan
- Division of Hematology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Noppadol Siritanaratkul
- Division of Hematology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
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Suta S, Surawit A, Mongkolsucharitkul P, Pinsawas B, Manosan T, Ophakas S, Pongkunakorn T, Pumeiam S, Sranacharoenpong K, Sutheeworapong S, Poungsombat P, Khoomrung S, Akarasereenont P, Thaipisuttikul I, Suktitipat B, Mayurasakorn K. Prolonged Egg Supplement Advances Growing Child's Growth and Gut Microbiota. Nutrients 2023; 15:nu15051143. [PMID: 36904143 PMCID: PMC10005095 DOI: 10.3390/nu15051143] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 02/20/2023] [Accepted: 02/22/2023] [Indexed: 03/12/2023] Open
Abstract
Protein-energy malnutrition still impacts children's growth and development. We investigated the prolonged effects of egg supplementation on growth and microbiota in primary school children. For this study, 8-14-year-old students (51.5% F) in six rural schools in Thailand were randomly assigned into three groups: (1) whole egg (WE), consuming 10 additional eggs/week (n = 238) (n = 238); (2) protein substitute (PS), consuming yolk-free egg substitutes equivalent to 10 eggs/week (n = 200); and (3) control group (C, (n = 197)). The outcomes were measured at week 0, 14, and 35. At the baseline, 17% of the students were underweight, 18% were stunted, and 13% were wasted. At week 35, compared to the C group the weight and height difference increased significantly in the WE group (3.6 ± 23.5 kg, p < 0.001; 5.1 ± 23.2 cm, p < 0.001). No significant differences in weight or height were observed between the PS and C groups. Significant decreases in atherogenic lipoproteins were observed in the WE, but not in PS group. HDL-cholesterol tended to increase in the WE group (0.02 ± 0.59 mmol/L, ns). The bacterial diversity was similar among the groups. The relative abundance of Bifidobacterium increased by 1.28-fold in the WE group compared to the baseline and differential abundance analysis which indicated that Lachnospira increased and Varibaculum decreased significantly. In conclusion, prolonged whole egg supplementation is an effective intervention to improve growth, nutritional biomarkers, and gut microbiota with unaltered adverse effects on blood lipoproteins.
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Affiliation(s)
- Sophida Suta
- Population Health and Nutrition Research Group, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Apinya Surawit
- Population Health and Nutrition Research Group, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Pichanun Mongkolsucharitkul
- Population Health and Nutrition Research Group, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Bonggochpass Pinsawas
- Population Health and Nutrition Research Group, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Thamonwan Manosan
- Population Health and Nutrition Research Group, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Suphawan Ophakas
- Population Health and Nutrition Research Group, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Tanyaporn Pongkunakorn
- Population Health and Nutrition Research Group, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Sureeporn Pumeiam
- Population Health and Nutrition Research Group, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | | | - Sawannee Sutheeworapong
- Systems Biology and Bioinformatics Research Unit, Pilot Plant Development and Training Institute, King Mongkut’s University of Technology Thonburi, Bangkok 10140, Thailand
| | - Patcha Poungsombat
- Metabolomics and Systems Biology, Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Sakda Khoomrung
- Metabolomics and Systems Biology, Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Siriraj Metabolomics and Phenomics Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Pravit Akarasereenont
- Department of Pharmacology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Iyarit Thaipisuttikul
- Department of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Korapat Mayurasakorn
- Population Health and Nutrition Research Group, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Correspondence: ; Tel.: +66-9-4189-3266
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5
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Tanjak P, Chaiboonchoe A, Suwatthanarak T, Acharayothin O, Thanormjit K, Chanthercrob J, Suwatthanarak T, Wannasuphaphol B, Chumchuen K, Suktitipat B, Sampattavanich S, Korphaisarn K, Pongpaibul A, Poungvarin N, Grove H, Riansuwan W, Trakarnsanga A, Methasate A, Pithukpakorn M, Chinswangwatanakul V. The KRAS-Mutant Consensus Molecular Subtype 3 Reveals an Immunosuppressive Tumor Microenvironment in Colorectal Cancer. Cancers (Basel) 2023; 15:cancers15041098. [PMID: 36831441 PMCID: PMC9953921 DOI: 10.3390/cancers15041098] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 02/03/2023] [Accepted: 02/06/2023] [Indexed: 02/11/2023] Open
Abstract
Colorectal cancers (CRC) with KRAS mutations (KRASmut) are frequently included in consensus molecular subtype 3 (CMS3) with profound metabolic deregulation. We explored the transcriptomic impact of KRASmut, focusing on the tumor microenvironment (TME) and pathways beyond metabolic deregulation. The status of KRASmut in patients with CRC was investigated and overall survival (OS) was compared with wild-type KRAS (KRASwt). Next, we identified CMS, and further investigated differentially expressed genes (DEG) of KRASmut and distinctive pathways. Lastly, we used spatially resolved gene expression profiling to define the effect of KRASmut in the TME regions of CMS3-classified CRC tissues. CRC patients with KRASmut were mainly enriched in CMS3. Their specific enrichments of immune gene signatures in immunosuppressive TME were associated with worse OS. Activation of TGFβ signaling by KRASmut was related to reduced pro-inflammatory and cytokine gene signatures, leading to suppression of immune infiltration. Digital spatial profiling in TME regions of KRASmut CMS3-classified tissues suggested up-regulated genes, CD40, CTLA4, ARG1, STAT3, IDO, and CD274, that could be characteristic of immune suppression in TME. This study may help to depict the complex transcriptomic profile of KRASmut in immunosuppressive TME. Future studies and clinical trials in CRC patients with KRASmut should consider these transcriptional landscapes.
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Affiliation(s)
- Pariyada Tanjak
- Department of Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Wanglang Road, Bangkok 10700, Thailand
- Siriraj Cancer Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Amphun Chaiboonchoe
- Siriraj Center of Research Excellent for Systems Pharmacology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Siriraj Genomics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Tharathorn Suwatthanarak
- Department of Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Wanglang Road, Bangkok 10700, Thailand
| | - Onchira Acharayothin
- Department of Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Wanglang Road, Bangkok 10700, Thailand
| | - Kullanist Thanormjit
- Department of Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Wanglang Road, Bangkok 10700, Thailand
- Siriraj Cancer Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Jantappapa Chanthercrob
- Siriraj Center of Research Excellent for Systems Pharmacology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Siriraj Genomics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Thanawat Suwatthanarak
- Department of Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Wanglang Road, Bangkok 10700, Thailand
- Siriraj Cancer Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Bundit Wannasuphaphol
- Department of Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Wanglang Road, Bangkok 10700, Thailand
| | - Kemmapon Chumchuen
- Siriraj Genomics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Integrative Computational Bioscience Center, Mahidol University, Nakhon Pathom 73170, Thailand
- Division of Medical Bioinformatics, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Somponnat Sampattavanich
- Siriraj Center of Research Excellent for Systems Pharmacology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Siriraj Genomics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Krittiya Korphaisarn
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Ananya Pongpaibul
- Department of Pathology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Naravat Poungvarin
- Department of Clinical Pathology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Harald Grove
- Division of Medical Bioinformatics, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Woramin Riansuwan
- Department of Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Wanglang Road, Bangkok 10700, Thailand
| | - Atthaphorn Trakarnsanga
- Department of Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Wanglang Road, Bangkok 10700, Thailand
| | - Asada Methasate
- Department of Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Wanglang Road, Bangkok 10700, Thailand
| | - Manop Pithukpakorn
- Siriraj Genomics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Division of Medical Genetics, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Vitoon Chinswangwatanakul
- Department of Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Wanglang Road, Bangkok 10700, Thailand
- Siriraj Cancer Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Correspondence:
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6
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Dechaphunkul A, Danchaivijitr P, Jiratrachu R, Dechaphunkul T, Sookthon C, Jiarpinitnun C, Paoin C, Setakornnukul J, Suktitipat B, Pattaranutaporn P, Ngamphaiboon N. Real-world evidence of cisplatin versus carboplatin in patients with locally advanced nasopharyngeal carcinoma receiving concurrent chemoradiotherapy: A multicenter analysis. Asia Pac J Clin Oncol 2023; 19:51-61. [PMID: 35394108 DOI: 10.1111/ajco.13668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 07/12/2021] [Accepted: 08/17/2021] [Indexed: 01/20/2023]
Abstract
BACKGROUND Though concurrent chemoradiotherapy (CCRT) with cisplatin remains a standard of care for patients with locally advanced nasopharyngeal carcinoma (LA-NPC), carboplatin has alternatively been used without sufficient supportive evidences. Thus, we evaluated an efficacy and tolerability of carboplatin CCRT compared with cisplatin in LA-NPC patients. METHODS Patients with LA-NPC treated with CCRT were identified through the Thai multicenter head and neck cancer database. Patient tolerability and survival were analyzed and compared between regimens. Survivals were calculated by using the Kaplan-Meier method, and compared by the log-rank test. A p-value of <0.05 was considered statistically significant. RESULTS A total of 135 of 980 patients (13.8%) were treated with carboplatin. Patients treated with carboplatin were significantly associated with older age (p < 0.001), smoking (p = 0.003), more comorbidity (p = 0.014), kidney disease (p = 0.016), and lower baseline creatinine clearance (p < 0.001). Intensity-modulated radiation therapy was used significantly more in the cisplatin group than carboplatin group (p < 0.001). Patients who received carboplatin were associated with delay (p = 0.049) and hospitalization (p = 0.006), whereas cisplatin CCRT had more dose reduction (p = 0.001). Patients treated with cisplatin had CCRT interruption from grade 3-4 mucositis (p = 0.019) more than carboplatin, whereas carboplatin had more grade 3-4 thrombocytopenia (p < 0.001). The 5-year overall survival (OS) of patients treated with cisplatin and carboplatin was 59% and 49%, respectively (p = 0.128). Cisplatin or carboplatin CCRT was not a significant predictor for OS and locoregional recurrence-free survival in multivariate analysis. CONCLUSIONS Carboplatin CCRT provided acceptable efficacy and tolerability profiles in real-world practice. Carboplatin should be considered as an alternative regimen, particularly in cisplatin-ineligible patients with LA-NPC treated with CCRT.
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Affiliation(s)
- Arunee Dechaphunkul
- Unit of Medical Oncology, Department of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand
| | - Pongwut Danchaivijitr
- Division of Medical Oncology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Rungarun Jiratrachu
- Division of Radiation Oncology, Department of Radiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand
| | - Tanadech Dechaphunkul
- Department of Otorhinolaryngology Head and Neck Surgery, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand
| | - Chatsuda Sookthon
- Division of Medical Oncology, Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Chuleeporn Jiarpinitnun
- Division of Radiation Oncology, Department of Radiology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Chatchanok Paoin
- Division of Medical Oncology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Jiraporn Setakornnukul
- Division of Radiation Oncology, Department of Radiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.,Integrative Computational BioScience (ICBS) Center, Mahidol University, Bangkok, Thailand
| | - Poompis Pattaranutaporn
- Division of Radiation Oncology, Department of Radiology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Nuttapong Ngamphaiboon
- Division of Medical Oncology, Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
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7
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Chuenkongkaew WL, Chinkulkitnivat B, Lertrit P, Chirapapaisan N, Kaewsutthi S, Suktitipat B, Mitrpant C. Clinical expression and mitochondrial deoxyribonucleic acid study in twins with 14484 Leber’s hereditary optic neuropathy: A case report. World J Clin Cases 2022; 10:6944-6953. [PMID: 36051150 PMCID: PMC9297404 DOI: 10.12998/wjcc.v10.i20.6944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 01/07/2022] [Accepted: 05/14/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND This study aimed to explore clinical and molecular factors that cause discordance for clinical expression of Leber’s hereditary optic neuropathy (LHON) in a pair of identical twins with the 14484 point mutation.
CASE SUMMARY Twin patients with the 14484 point mutation were studied for zygosity by using the Short Tandem Repeats Typing system. For the monozygotic twins, the radioactive restriction and densitometric analyses were used to quantitate the heteroplasmy level for the 14484 point mutation. The mitochondrial genome was analyzed to determine influential factors by mitochondrial deoxyribonucleic acid (DNA) sequencing, denaturing high-performance liquid chromatography and next generation sequencing. For the dizygotic twins, the nuclear DNA was analyzed. The twins with 14484 LHON were monozygotic with homoplasmy. No difference in the point mutation in mitochondrial DNA was found. No modifying genes that potentially influenced the disparity in phenotypic expression of LHON were detected in these twins.
CONCLUSION This 11-year follow-up of monozygotic twins showed additional genetic modifications and epigenetic factors are possibly associated with discordance for LHON.
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Affiliation(s)
| | - Buakhwan Chinkulkitnivat
- Department of Ophthalmology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Patcharee Lertrit
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Niphon Chirapapaisan
- Department of Ophthalmology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Supannee Kaewsutthi
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Integrative Computational BioScience Center, Mahidol University, Nakhon Pathom 73170, Thailand
| | - Chalermchai Mitrpant
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
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8
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Toosaranont J, Ruschadaariyachat S, Mujchariyakul W, Arora JK, Charoensawan V, Suktitipat B, Palmer TN, Fletcher S, Wilton SD, Mitrpant C. Antisense Oligonucleotide Induction of the hnRNPA1b Isoform Affects Pre-mRNA Splicing of SMN2 in SMA Type I Fibroblasts. Int J Mol Sci 2022; 23:ijms23073937. [PMID: 35409296 PMCID: PMC8999010 DOI: 10.3390/ijms23073937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 03/22/2022] [Accepted: 03/28/2022] [Indexed: 02/04/2023] Open
Abstract
Spinal muscular atrophy (SMA) is a severe, debilitating neuromuscular condition characterised by loss of motor neurons and progressive muscle wasting. SMA is caused by a loss of expression of SMN1 that encodes the survival motor neuron (SMN) protein necessary for the survival of motor neurons. Restoration of SMN expression through increased inclusion of SMN2 exon 7 is known to ameliorate symptoms in SMA patients. As a consequence, regulation of pre-mRNA splicing of SMN2 could provide a potential molecular therapy for SMA. In this study, we explored if splice switching antisense oligonucleotides could redirect the splicing repressor hnRNPA1 to the hnRNPA1b isoform and restore SMN expression in fibroblasts from a type I SMA patient. Antisense oligonucleotides (AOs) were designed to promote exon 7b retention in the mature mRNA and induce the hnRNPA1b isoform. RT-PCR and western blot analysis were used to assess and monitor the efficiency of different AO combinations. A combination of AOs targeting multiple silencing motifs in hnRNPA1 pre-mRNA led to robust hnRNPA1b induction, which, in turn, significantly increased expression of full-length SMN (FL-SMN) protein. A combination of PMOs targeting the same motifs also strongly induced hnRNPA1b isoform, but surprisingly SMN2 exon 5 skipping was detected, and the PMO cocktail did not lead to a significant increase in expression of FL-SMN protein. We further performed RNA sequencing to assess the genome-wide effects of hnRNPA1b induction. Some 3244 genes were differentially expressed between the hnRNPA1b-induced and untreated SMA fibroblasts, which are functionally enriched in cell cycle and chromosome segregation processes. RT-PCR analysis demonstrated that expression of the master regulator of these enrichment pathways, MYBL2 and FOXM1B, were reduced in response to PMO treatment. These findings suggested that induction of hnRNPA1b can promote SMN protein expression, but not at sufficient levels to be clinically relevant.
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Affiliation(s)
- Jarichad Toosaranont
- Department of Biochemistry, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (J.T.); (S.R.); (B.S.)
| | - Sukanya Ruschadaariyachat
- Department of Biochemistry, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (J.T.); (S.R.); (B.S.)
| | - Warasinee Mujchariyakul
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok 10700, Thailand; (W.M.); (J.K.A.); (V.C.)
| | - Jantarika Kumar Arora
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok 10700, Thailand; (W.M.); (J.K.A.); (V.C.)
| | - Varodom Charoensawan
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok 10700, Thailand; (W.M.); (J.K.A.); (V.C.)
- Integrative Computational BioScience (ICBS) Center, Mahidol University, Nakhon Pathom 73170, Thailand
- Systems Biology of Diseases Research Unit, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (J.T.); (S.R.); (B.S.)
- Integrative Computational BioScience (ICBS) Center, Mahidol University, Nakhon Pathom 73170, Thailand
| | - Thomas N. Palmer
- Perron Institute for Neurological and Translational Science, The University of Western Australia, Perth, WA 6009, Australia; (T.N.P.); (S.F.); (S.D.W.)
| | - Sue Fletcher
- Perron Institute for Neurological and Translational Science, The University of Western Australia, Perth, WA 6009, Australia; (T.N.P.); (S.F.); (S.D.W.)
- Centre for Molecular Medicine and Innovative Therapeutics, Health Futures Institute, Murdoch University, Perth, WA 6150, Australia
| | - Steve D. Wilton
- Perron Institute for Neurological and Translational Science, The University of Western Australia, Perth, WA 6009, Australia; (T.N.P.); (S.F.); (S.D.W.)
- Centre for Molecular Medicine and Innovative Therapeutics, Health Futures Institute, Murdoch University, Perth, WA 6150, Australia
| | - Chalermchai Mitrpant
- Department of Biochemistry, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (J.T.); (S.R.); (B.S.)
- Perron Institute for Neurological and Translational Science, The University of Western Australia, Perth, WA 6009, Australia; (T.N.P.); (S.F.); (S.D.W.)
- Centre for Molecular Medicine and Innovative Therapeutics, Health Futures Institute, Murdoch University, Perth, WA 6150, Australia
- Correspondence:
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9
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Veenin K, Wattanasirichaigoon D, Suktitipat B, Noojarern S, Lertrit P, Tim-Aroon T, Kaewsutthi S, Treepongkaruna S. Association of Mitochondrial DNA Polymorphisms With Pediatric-Onset Cyclic Vomiting Syndrome. Front Pediatr 2022; 10:876436. [PMID: 35685918 PMCID: PMC9170898 DOI: 10.3389/fped.2022.876436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 04/22/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Cyclic vomiting syndrome (CVS) is a functional gastrointestinal disorder characterized by recurrent stereotypic episodes of vomiting. The pathophysiology of CVS remains obscure. Previous studies have supported the hypotheses of mitochondrial dysfunction. However, data on association studies between mitochondrial DNA (mtDNA) polymorphisms and pediatric-onset CVS are limited and inconsistent. The aims of this study were to describe clinical characteristics, evaluate association of mtDNA polymorphisms 16519T and 3010A with pediatric-onset CVS and identify new mtDNA candidate variants. METHODS This study involved Thai patients diagnosed with CVS according to the Rome III or IV criteria before the age of 15 years. Patients' demographic data, clinical characteristics, previous investigations and treatment outcomes were obtained. Blood samples were collected for next-generation (whole exome) sequencing, followed by analysis of chromosome M (mitochondrial. Variants were filtered according to clinical significance using ClinVar and MITOMAP. mtDNA polymorphisms in 148 normal Thai individuals were used as controls. RESULTS Forty-eight children were enrolled in the clinical study, and 30 participated in the genetic analysis. The median age at onset and median age at diagnosis was 3.0 (1.5-5.6) and 6.3 (3.0-8.6) years, respectively. Maternal history of migraine was positive in 16.7%. About 45.7% (21 of 46) of the patients achieved complete clinical remission, with the mean symptom duration of 5.9 ± 3.3 years. The prevalence of mtDNA variants 16519T and 3010A among the patient group and Thai general population (control) were as follows: 40.0% (12/30) vs. 27.7% (P = 0.18) and 6.7% (2/30) vs. 0.7% (P = 0.07), respectively. Five known pathogenic variants were identified in 6 patients, including mtDNA 8528C in one patient who also had infantile hypertrophic cardiomyopathy. Six likely pathogenic variants were found but without statistical significance. We identified 11 variants with significant prevalence in the patient group. Though, these variants were classified as variants of unknown significance (VUS), several of them were located in mt functional regions and therefore they deserve further investigations as new candidates for association with pediatric CVS. CONCLUSION There were no associations of mtDNA polymorphisms 16519T and 3010A with CVS in our pediatric cohort. Five pathogenic variants and 11 VUS were found associated with pediatric-onset CVS.
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Affiliation(s)
- Kirana Veenin
- Division of Gastroenterology, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Duangrurdee Wattanasirichaigoon
- Division of Medical Genetics, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Saisuda Noojarern
- Division of Medical Genetics, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Patcharee Lertrit
- Department of Biochemistry, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Thipwimol Tim-Aroon
- Division of Medical Genetics, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Supannee Kaewsutthi
- Department of Biochemistry, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Suporn Treepongkaruna
- Division of Gastroenterology, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
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Tanjak P, Suktitipat B, Vorasan N, Juengwiwattanakitti P, Thiengtrong B, Songjang C, Therasakvichya S, Laiteerapong S, Chinswangwatanakul V. Risks and cancer associations of metachronous and synchronous multiple primary cancers: a 25-year retrospective study. BMC Cancer 2021; 21:1045. [PMID: 34556087 PMCID: PMC8461969 DOI: 10.1186/s12885-021-08766-9] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 09/06/2021] [Indexed: 01/22/2023] Open
Abstract
Background The situation of patients developing multiple primary cancers is becoming more frequent and graver. This study investigated the risks of developing second primary cancers that are related to first primary cancers, and the interval times of synchronous and metachronous multiple primary cancers. Patients and methods Retrospective data were retrieved from 109,054 patients aged ≥18 who were diagnosed with a first solid cancer and registered at Siriraj Cancer Center between 1991 and 2015. A two-month period between first- and second- primary cancers was used to differentiate metachronous and synchronous multiple primary cancers. The combinations of subsequent cancers and relative risks (RRs) of having multiple primary cancers versus having single primary cancer for the top-ten first and second primary cancers were examined. The RR was adjusted for age of the first primary cancer. A survival analysis of the time to second-primary-cancer development was performed. Results Multiple primary cancers were found in 1785 (1.63%) patients. Most (70.87%) second primary cancers occurred after 2 months of first breast, skin, colorectal, lung, head and neck, liver, male genital cancer–prostate, thyroid, and female genital cancer–non-uterine cancers, resulting in those cancers being classified as metachronous multiple primary cancer. After adjustment for age at first diagnosis, head and neck cancers had the highest metachronous association with second esophageal cancers (RR, 25.06; 95% CI, 13.41–50.77). Prostate cancer and second colorectal cancer also demonstrated a high metachronous association (RR, 2.00; 95% CI, 1.25–3.05). A strong synchronous association was found between uterine and ovarian cancers (RR, 27.77; 95% CI, 17.97–43.63). The median time from the first uterine cancer to second-cancer development was 55 days. Conclusions The top-ten most frequent multiple primary cancers were the following: breast; liver; head and neck; colorectal; male genital cancer–prostate; skin; female genital cancer–uterine; thyroid; lung; and female genital cancer–non-uterine. Second primary cancers showed specific associations that depended on the first primary cancer. Physicians should be cognizant of the most common combinations and the interval times of metachronous and synchronous multiple primary cancers.
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Affiliation(s)
- Pariyada Tanjak
- Siriraj Cancer Center, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkok Noi, Bangkok, 10700, Thailand.,Department of Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.,Siriraj Center of Excellent for Research in Bioinformatics and Clinical Data Management, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.,Integrative Computational Bioscience Center, Mahidol University, Nakhon Pathom, Thailand
| | - Nutchavadee Vorasan
- Siriraj Genomics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Panudeth Juengwiwattanakitti
- Siriraj Cancer Center, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkok Noi, Bangkok, 10700, Thailand.,Department of Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Benjarat Thiengtrong
- Siriraj Cancer Center, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkok Noi, Bangkok, 10700, Thailand.,Department of Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Cholticha Songjang
- Siriraj Cancer Center, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkok Noi, Bangkok, 10700, Thailand
| | - Suwanit Therasakvichya
- Department of Gynecology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Somsri Laiteerapong
- Department of Transfusion Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Vitoon Chinswangwatanakul
- Siriraj Cancer Center, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkok Noi, Bangkok, 10700, Thailand. .,Department of Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
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11
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Lertwilaiwittaya P, Suktitipat B, Khongthon P, Pongsapich W, Limwongse C, Pithukpakorn M. Identification of novel mutation in RANKL by whole-exome sequencing in a Thai family with osteopetrosis; a case report and review of RANKL osteopetrosis. Mol Genet Genomic Med 2021; 9:e1727. [PMID: 34056870 PMCID: PMC8372087 DOI: 10.1002/mgg3.1727] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 05/03/2021] [Accepted: 05/11/2021] [Indexed: 01/08/2023] Open
Abstract
Background Osteopetrosis is a rare form of skeletal dysplasia characterized by increased bone density that leads to bone marrow failure, compressive neuropathy, and skeletal dysmorphism. Molecular diagnosis is essential as it guides treatment and prognosis. We report Thai siblings with an ultra‐rare form of osteopetrosis. Methods The older brother and the younger sister presented with chronic mandibular osteomyelitis in their 20s. Since childhood, they had visual impairment, pathological fracture, and skeletal dysmorphism. Quadruplet whole‐exome sequencing was performed and confirmed with Sanger sequencing. Novel mutation in TNFSF11 (RANKL) c.842T>G, p.Phe281Cys was identified in a homozygous state in both siblings. Results Surgical debridement, antibiotic, and hyperbaric oxygen therapy were used and discontinued over a 6‐month period with normalization of C‐reactive protein. Hematopoietic stem cell transplantation candidacy was excluded by molecular diagnosis. Conclusion We report a novel mutation in an ultra‐rare form of osteopetrosis. Our siblings manifested with a milder phenotype in comparison with nine cases previously published.
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Affiliation(s)
| | - Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.,Integrative Computational BioScience Center, Mahidol University, Bangkok, Thailand
| | - Phongphak Khongthon
- Research Division, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Warut Pongsapich
- Department of Otorhinolaryngology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Chanin Limwongse
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Manop Pithukpakorn
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.,Siriraj Center of Research Excellence in Precision Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
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12
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Saengwimol D, Chittavanich P, Laosillapacharoen N, Srimongkol A, Chaitankar V, Rojanaporn D, Aroonroch R, Suktitipat B, Saisawang C, Svasti S, Hongeng S, Kaewkhaw R. Silencing of the Long Noncoding RNA MYCNOS1 Suppresses Activity of MYCN-Amplified Retinoblastoma Without RB1 Mutation. Invest Ophthalmol Vis Sci 2021; 61:8. [PMID: 33270844 PMCID: PMC7718827 DOI: 10.1167/iovs.61.14.8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Purpose MYCNOS (MYCN opposite strand) is co-amplified with MYCN in pediatric cancers, including retinoblastoma. MYCNOS encodes several RNA variants whose functions have not been elucidated in retinoblastoma. Thus, we attempted to identify MYCNOS variants in retinoblastoma and aimed to decipher the role of MYCNOS variant 1 (MYCNOS1) on the activity of MYCN-amplified retinoblastoma. Methods The profiles of MYCNOS variants and MYCN status were determined in 17 retinoblastoma tissues, cell lines, retinas, and retinal organoids. A functional study of MYCNOS1 expression was conducted in patient-derived tumor cells and in retinoblastoma cell lines via short hairpin RNA-mediated gene silencing. We carried out MYCN expression, cell viability, cell cycle, apoptosis, soft agar colony formation, and transwell assays to examine the role of MYCNOS1 in MYCN and cell behaviors. We analyzed a transcriptome of MYCN-amplified retinoblastoma cells deficient for MYCNOS1 and, finally, tested the responses of these cells to chemotherapeutic agents. Results Expression of MYCNOS1 was associated with the expression and copy number of MYCN. Knockdown of MYCNOS1 caused instability of the MYCN protein, leading to cell cycle arrest and impaired proliferation and chemotaxis-directed migration in MYCN-amplified retinoblastoma cells in which RB1 was intact. MYCNOS1 expression was associated with gene signatures of photoreceptor cells and epithelial–mesenchymal transition. MYCNOS1 silencing enhanced the response of retinoblastoma cells to topotecan but not carboplatin. Conclusions MYCNOS1 supports progression of retinoblastoma. Inhibition of MYCNOS1 expression may be necessary to suppress MYCN activity when treating MYCN-amplified cancers without RB1 mutation.
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Affiliation(s)
- Duangporn Saengwimol
- Research Center, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Pamorn Chittavanich
- Section of Translational Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Natanan Laosillapacharoen
- Section of Translational Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Atthapol Srimongkol
- Research Center, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Vijender Chaitankar
- Lymphocyte Cell Biology Section, Molecular Immunology and Inflammation Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland, United States
| | - Duangnate Rojanaporn
- Department of Ophthalmology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Rangsima Aroonroch
- Department of Pathology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.,Integrative Computational BioScience Center, Mahidol University, Nakhon Pathom, Thailand
| | - Chonticha Saisawang
- Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom, Thailand
| | - Saovaros Svasti
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, Thailand.,Thalassemia Research Center, Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom, Thailand
| | - Suradej Hongeng
- Department of Pediatrics, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Rossukon Kaewkhaw
- Section of Translational Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
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13
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Rujirachun P, Junyavoraluk A, Pithukpakorn M, Suktitipat B, Winijkul A. Successful treatment of arrhythmia with β-blocker and flecainide combination in pregnant patients with Andersen-Tawil syndrome: A case report and literature review. Ann Noninvasive Electrocardiol 2020; 26:e12798. [PMID: 32959505 PMCID: PMC8164140 DOI: 10.1111/anec.12798] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 08/24/2020] [Indexed: 11/28/2022] Open
Abstract
Andersen-Tawil syndrome (ATS) is a rare disorder characterized by a triad of ventricular arrhythmia (VA), dysmorphic features, and periodic paralysis. Due to the rarity of this condition, less is known about physiologic effect of pregnancy to ATS and arrhythmia. There is no established guideline for peripartum or postpartum treatment and prevention of arrhythmia in ATS; thus, the clinical management is challenging. We reported two KCNJ2-associated ATS patients who got pregnant and underwent vaginal birth safely. Both individuals had VA, micrognathia without periodic paralysis. β-blocker plus flecainide could be an effective treatment combination when monotherapy failed to control arrhythmia. VA of two pregnant patients with ATS could be controlled by either physiologic changes associated pregnancy or the combination treatment of β-blocker and flecainide.
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Affiliation(s)
| | | | - Manop Pithukpakorn
- Division of Medical Genetics, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.,Siriraj Center of Research Excellence in Precision Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Bhoom Suktitipat
- Siriraj Center of Research Excellence in Precision Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.,Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Arjbordin Winijkul
- Division of Cardiology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
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14
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Ngamphaiboon N, Dechaphunkul A, Setakornnukul J, Dechaphunkul T, Jiratrachu R, Suktitipat B, Jiarpinitnun C, Pattaranutaporn P, Danchaivijitr P. Optimal cumulative dose of cisplatin for concurrent chemoradiotherapy among patients with non-metastatic nasopharyngeal carcinoma: a multicenter analysis in Thailand. BMC Cancer 2020; 20:518. [PMID: 32493288 PMCID: PMC7271552 DOI: 10.1186/s12885-020-07024-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 05/28/2020] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Chemoradiotherapy (CRT) with high cumulative doses (CDs) of cisplatin has been considered the standard of care for non-metastatic nasopharyngeal carcinoma (NPC). However, given most patients' inability to tolerate high CDs due to cisplatin-related toxicities, the optimal CD of cisplatin during CRT remains undetermined. METHODS Patients with non-metastatic NPC who received CRT with cisplatin between 2007 and 2017 were identified through the Thai head and neck cancer multicenter database and then categorized according to cisplatin CD (mg/m2) received. All complications and cisplatin-related toxicities during CRT were recorded. RESULTS We identified 779 non-metastatic NPC patients receiving low (≤150; n = 97), intermediate (151-250; n = 411), and high (> 250; n = 271) CDs of cisplatin. Low CD patients had significantly lower mean actual radiation dose (p < 0.001) and more radiotherapy delay (p = 0.010), while intermediate CD patients had the least hospitalization (p < 0.001). Overall, 39.3% of the patients experienced cisplatin-related toxicity, which was associated with poor overall survival (OS) (p = 0.001). Acute kidney injury was observed in 7% in all patients, which was highest among low CD patients (15.5%; p = 0.002). Intermediate CD patients had significantly longer median OS than the low and high groups (64 vs. 49.8 vs. 53.2, respectively; p = 0.015). Univariate, but not multivariate, analysis showed that CD of cisplatin was significantly associated with OS. CONCLUSION CD of cisplatin during CRT was not an independent prognostic factor for OS. An intermediate CD induced minimal toxicity without compromising survival and should be considered the optimal CD. Nonetheless, a randomized phase 3 study evaluating the optimal CD of cisplatin is warranted.
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Affiliation(s)
- Nuttapong Ngamphaiboon
- Division of Medical Oncology, Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Road, Ratchathewi, Bangkok, 10400, Thailand.
| | - Arunee Dechaphunkul
- Division of Medical Oncology, Department of Medicine, Faculty of Medicine, Songklanagarind Hospital, Prince of Songkla University, Hat Yai, Thailand
| | - Jiraporn Setakornnukul
- Division of Radiation Oncology, Department of Radiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Tanadech Dechaphunkul
- Department of Otorhinolaryngology Head and Neck Surgery, Faculty of Medicine, Songklanagarind Hospital, Prince of Songkla University, Hat Yai, Thailand
| | - Rungarun Jiratrachu
- Division of Radiation Oncology, Department of Radiology, Faculty of Medicine, Songklanagarind Hospital, Prince of Songkla University, Hat Yai, Thailand
| | - Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Integrative Computaional BioScience Center, Mahidol University, Bangkok, Thailand
| | - Chuleeporn Jiarpinitnun
- Division of Radiation Oncology, Department of Radiology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Poompis Pattaranutaporn
- Division of Radiation Oncology, Department of Radiology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Pongwut Danchaivijitr
- Division of Medical Oncology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Thanon Wang Lang, Siriraj, Bangkok Noi, Bangkok, 10700, Thailand.
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15
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Niyomnaitham S, Parinyanitikul N, Roothumnong E, Jinda W, Samarnthai N, Atikankul T, Suktitipat B, Thongnoppakhun W, Limwongse C, Pithukpakorn M. Tumor mutational profile of triple negative breast cancer patients in Thailand revealed distinctive genetic alteration in chromatin remodeling gene. PeerJ 2019; 7:e6501. [PMID: 30828495 PMCID: PMC6394341 DOI: 10.7717/peerj.6501] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2018] [Accepted: 01/22/2019] [Indexed: 12/28/2022] Open
Abstract
Background Triple negative breast cancer (TNBC) is a breast cancer subtype characterized by absence of both hormonal receptors and human epithelial growth factor receptor 2 (HER2). TNBC accounts for 15–20% of breast cancer. TNBC is associated with more aggressive disease and worse clinical outcome. Though the underlying mechanism of TNBC is currently unclear, the heterogeneity of clinical characteristics in various population may relate to the difference in tumor mutational profile. There were studies on TNBC gene mutations in various ethnic groups but the tumor genome data on Thai TNBC patients is currently unknown. This study aims to investigate mutational profile of Thai TNBC. Methods The patients were Thai individuals who were diagnosed with primary breast carcinoma between 2014 and 2017. All surgically removed primary tumor tissues were carefully examined by pathologists and archived as formalin-fixed paraffin-embedded tumor. TNBC was defined by absence of hormonal receptors and HER2 by immunohistochemistry. Genomic DNA was extracted, enriched and sequenced of all exomes on the Illumina HiSeq. Genomic data were then processed through bioinformatics platform to identify genomic alterations and tumor mutational burden. Results A total of 116 TNBC patients were recruited. Genomic analysis of TNBC samples identified 81,460 variants, of which 5,906 variants were in cancer-associated genes. The result showed that Thai TNBC has higher tumor mutation burden than previously reported data. The most frequently mutated cancer-associated gene was TP53 similar to other TNBC cohorts. Meanwhile KMT2C was found to be more commonly mutated in Thai TNBC than previous studies. Mutational profile of Thai TNBC patients also revealed difference in many frequently mutated genes when compared to other Western TNBC cohorts. Conclusion This result supported that TNBC breast cancer patients from various ethnic background showed diverse genome alteration pattern. Although TP53 is the most commonly mutated gene across all cohorts, Thai TNBC showed different gene mutation frequencies, especially in KMT2C. In particular, the cancer gene mutations are more prevalent in Thai TNBC patients. This result provides important insight on diverse underlying genetic and epigenetic mechanisms of TNBC that could translate to a new treatment strategy for patients with this disease.
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Affiliation(s)
- Suvimol Niyomnaitham
- Department of Pharmacology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Napa Parinyanitikul
- Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Ekkapong Roothumnong
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.,Siriraj Center of Research Excellence in Precision Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Worapoj Jinda
- Siriraj Center of Research Excellence in Precision Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.,Research Division, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Norasate Samarnthai
- Department of Pathology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Taywin Atikankul
- Department of Pathology, Queen Savang Vadhana Memorial Hospital, Thai Red Cross Society, Chonburi, Thailand
| | - Bhoom Suktitipat
- Siriraj Center of Research Excellence in Precision Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.,Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.,Integrative Computational Bioscience Center, Mahidol University, Bangkok, Thailand
| | - Wanna Thongnoppakhun
- Siriraj Center of Research Excellence in Precision Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.,Research Division, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Chanin Limwongse
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.,Siriraj Center of Research Excellence in Precision Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.,Research Division, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Manop Pithukpakorn
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.,Siriraj Center of Research Excellence in Precision Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
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16
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Ligthart S, Vaez A, Võsa U, Stathopoulou MG, de Vries PS, Prins BP, Van der Most PJ, Tanaka T, Naderi E, Rose LM, Wu Y, Karlsson R, Barbalic M, Lin H, Pool R, Zhu G, Macé A, Sidore C, Trompet S, Mangino M, Sabater-Lleal M, Kemp JP, Abbasi A, Kacprowski T, Verweij N, Smith AV, Huang T, Marzi C, Feitosa MF, Lohman KK, Kleber ME, Milaneschi Y, Mueller C, Huq M, Vlachopoulou E, Lyytikäinen LP, Oldmeadow C, Deelen J, Perola M, Zhao JH, Feenstra B, Amini M, Lahti J, Schraut KE, Fornage M, Suktitipat B, Chen WM, Li X, Nutile T, Malerba G, Luan J, Bak T, Schork N, Del Greco M F, Thiering E, Mahajan A, Marioni RE, Mihailov E, Eriksson J, Ozel AB, Zhang W, Nethander M, Cheng YC, Aslibekyan S, Ang W, Gandin I, Yengo L, Portas L, Kooperberg C, Hofer E, Rajan KB, Schurmann C, den Hollander W, Ahluwalia TS, Zhao J, Draisma HHM, Ford I, Timpson N, Teumer A, Huang H, Wahl S, Liu Y, Huang J, Uh HW, Geller F, Joshi PK, Yanek LR, Trabetti E, Lehne B, Vozzi D, Verbanck M, Biino G, Saba Y, Meulenbelt I, O'Connell JR, Laakso M, Giulianini F, Magnusson PKE, Ballantyne CM, Hottenga JJ, Montgomery GW, Rivadineira F, Rueedi R, Steri M, Herzig KH, Stott DJ, Menni C, Frånberg M, St Pourcain B, Felix SB, Pers TH, Bakker SJL, Kraft P, Peters A, Vaidya D, Delgado G, Smit JH, Großmann V, Sinisalo J, Seppälä I, Williams SR, Holliday EG, Moed M, Langenberg C, Räikkönen K, Ding J, Campbell H, Sale MM, Chen YDI, James AL, Ruggiero D, Soranzo N, Hartman CA, Smith EN, Berenson GS, Fuchsberger C, Hernandez D, Tiesler CMT, Giedraitis V, Liewald D, Fischer K, Mellström D, Larsson A, Wang Y, Scott WR, Lorentzon M, Beilby J, Ryan KA, Pennell CE, Vuckovic D, Balkau B, Concas MP, Schmidt R, Mendes de Leon CF, Bottinger EP, Kloppenburg M, Paternoster L, Boehnke M, Musk AW, Willemsen G, Evans DM, Madden PAF, Kähönen M, Kutalik Z, Zoledziewska M, Karhunen V, Kritchevsky SB, Sattar N, Lachance G, Clarke R, Harris TB, Raitakari OT, Attia JR, van Heemst D, Kajantie E, Sorice R, Gambaro G, Scott RA, Hicks AA, Ferrucci L, Standl M, Lindgren CM, Starr JM, Karlsson M, Lind L, Li JZ, Chambers JC, Mori TA, de Geus EJCN, Heath AC, Martin NG, Auvinen J, Buckley BM, de Craen AJM, Waldenberger M, Strauch K, Meitinger T, Scott RJ, McEvoy M, Beekman M, Bombieri C, Ridker PM, Mohlke KL, Pedersen NL, Morrison AC, Boomsma DI, Whitfield JB, Strachan DP, Hofman A, Vollenweider P, Cucca F, Jarvelin MR, Jukema JW, Spector TD, Hamsten A, Zeller T, Uitterlinden AG, Nauck M, Gudnason V, Qi L, Grallert H, Borecki IB, Rotter JI, März W, Wild PS, Lokki ML, Boyle M, Salomaa V, Melbye M, Eriksson JG, Wilson JF, Penninx BWJH, Becker DM, Worrall BB, Gibson G, Krauss RM, Ciullo M, Zaza G, Wareham NJ, Oldehinkel AJ, Palmer LJ, Murray SS, Pramstaller PP, Bandinelli S, Heinrich J, Ingelsson E, Deary IJ, Mägi R, Vandenput L, van der Harst P, Desch KC, Kooner JS, Ohlsson C, Hayward C, Lehtimäki T, Shuldiner AR, Arnett DK, Beilin LJ, Robino A, Froguel P, Pirastu M, Jess T, Koenig W, Loos RJF, Evans DA, Schmidt H, Smith GD, Slagboom PE, Eiriksdottir G, Morris AP, Psaty BM, Tracy RP, Nolte IM, Boerwinkle E, Visvikis-Siest S, Reiner AP, Gross M, Bis JC, Franke L, Franco OH, Benjamin EJ, Chasman DI, Dupuis J, Snieder H, Dehghan A, Alizadeh BZ. Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders. Am J Hum Genet 2018; 103:691-706. [PMID: 30388399 PMCID: PMC6218410 DOI: 10.1016/j.ajhg.2018.09.009] [Citation(s) in RCA: 250] [Impact Index Per Article: 41.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 09/20/2018] [Indexed: 02/07/2023] Open
Abstract
C-reactive protein (CRP) is a sensitive biomarker of chronic low-grade inflammation and is associated with multiple complex diseases. The genetic determinants of chronic inflammation remain largely unknown, and the causal role of CRP in several clinical outcomes is debated. We performed two genome-wide association studies (GWASs), on HapMap and 1000 Genomes imputed data, of circulating amounts of CRP by using data from 88 studies comprising 204,402 European individuals. Additionally, we performed in silico functional analyses and Mendelian randomization analyses with several clinical outcomes. The GWAS meta-analyses of CRP revealed 58 distinct genetic loci (p < 5 × 10-8). After adjustment for body mass index in the regression analysis, the associations at all except three loci remained. The lead variants at the distinct loci explained up to 7.0% of the variance in circulating amounts of CRP. We identified 66 gene sets that were organized in two substantially correlated clusters, one mainly composed of immune pathways and the other characterized by metabolic pathways in the liver. Mendelian randomization analyses revealed a causal protective effect of CRP on schizophrenia and a risk-increasing effect on bipolar disorder. Our findings provide further insights into the biology of inflammation and could lead to interventions for treating inflammation and its clinical consequences.
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Affiliation(s)
- Symen Ligthart
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Ahmad Vaez
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands; Department of Bioinformatics, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran
| | - Urmo Võsa
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands; Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | | | - Paul S de Vries
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands; Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Bram P Prins
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK
| | - Peter J Van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | - Elnaz Naderi
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands; Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands
| | - Lynda M Rose
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA
| | - Ying Wu
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Maja Barbalic
- University of Split School of Medicine, Split 21000, Croatia
| | - Honghuang Lin
- Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - René Pool
- Department of Biological Psychology, Netherlands Twin Register, Vrije Universiteit, Amsterdam 1081 BT, the Netherlands; Amsterdam Public Health research institute, VU University Medical Center, Amsterdam 1081 BT, the Netherlands
| | - Gu Zhu
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Aurélien Macé
- Department of Computational Biology, University of Lausanne, Lausanne 1010, Switzerland; Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland; Institute of Social and Preventive Medicine, University Hospital of Lausanne, Lausanne 1010, Switzerland
| | - Carlo Sidore
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Sardinia 08045, Italy
| | - Stella Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden 2300 RC, the Netherlands; Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands
| | - Massimo Mangino
- Department of Twin Research & Genetic Epidemiology, King's College London, London SE1 7EH, UK; NIHR Biomedical Research Centre at Guy's and St. Thomas' Foundation Trust, London SE1 9RT, UK
| | - Maria Sabater-Lleal
- Unit of Genomics of Complex Diseases, Institut d'Investigació Biomèdica Sant Pau, Barcelona 08025, Spain; Cardiovascular Medicine Unit, Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Stockholm 17176, Sweden
| | - John P Kemp
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, QLD 4102, Australia; MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK
| | - Ali Abbasi
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands; Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands; MRC Epidemiology Unit, University of Cambridge School of Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK
| | - Tim Kacprowski
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine and Ernst-Moritz-Arndt University Greifswald, Greifswald 17475, Germany; German Centre for Cardiovascular Research, Partner Site Greifswald, Greifswald 17475, Germany
| | - Niek Verweij
- University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen 9713 AV, the Netherlands
| | - Albert V Smith
- Icelandic Heart Association, Kopavogur 201, Iceland; Faculty of Medicine, University of Iceland, Reykjavik 101, Iceland
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Carola Marzi
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany; German Center for Diabetes Research, Partner Site Munich, Munich 85764, Germany
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108-2212, USA
| | - Kurt K Lohman
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA
| | - Marcus E Kleber
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim 68167, Germany
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam University Medical Center/GGZ inGeest Research & Innovation, Amsterdam 1081 HJ, the Netherlands
| | - Christian Mueller
- Department of General and Interventional Cardiology, University Heart Center Hamburg, Hamburg 20246, Germany; Institute of Medical Biometry and Statistics, University Medical Center Schleswig-Holstein, Campus Luebeck, Lübeck 23562, Germany; German Center for Cardiovascular Research, Partner Site RhineMain, 55131 Mainz, Germany
| | - Mahmudul Huq
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Efthymia Vlachopoulou
- Transplantation Laboratory, Medicum, University of Helsinki, Helsinki 00014, Finland
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33014, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere 33520, Finland
| | - Christopher Oldmeadow
- Hunter Medical Research Institute, New Lambon Heights, NSW 2305, Australia; Centre for Clinical Epidemiology & Biostatistics, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Joris Deelen
- Molecular Epidemiology, Leiden University Medical Center, Leiden 2333 ZC, the Netherlands; Max Planck Institute for Biology of Ageing, Cologne 50931, Germany
| | - Markus Perola
- National Institute for Health and Welfare, Helsinki 00271, Finland
| | - Jing Hua Zhao
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge CB2 0QQ, UK
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark
| | - Marzyeh Amini
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Jari Lahti
- Helsinki Collegium for Advanced Studies, University of Helsinki, Helsinki 00014, Finland; Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki 00014, Finland; Folkhälsan Research Centre, Helsinki 00250, Finland
| | - Katharina E Schraut
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH16 4UX, UK
| | - Myriam Fornage
- Human Genetics Center, School of Public Health and Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Wei-Min Chen
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Xiaohui Li
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Teresa Nutile
- Institute of Genetics and Biophysics "A. Buzzati-Traverso," Consiglio Nazionale delle Ricerche, Napoli 80131, Italy
| | - Giovanni Malerba
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona 37134, Italy
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge CB2 0QQ, UK
| | - Tom Bak
- Interdisciplinary Center Psychopathology and Emotion regulation, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, the Netherlands
| | - Nicholas Schork
- Human Biology, J. Craig Venter Institute, La Jolla, CA 92037, USA; Quantitative Medicine, Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Fabiola Del Greco M
- Institute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano 39100, Italy
| | - Elisabeth Thiering
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Centre for Environmental Health, Neuherberg 85764, Germany; Ludwig Maximilian University of Munich, Dr. von Hauner Children's Hospital, Munich 80337, Germany
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Riccardo E Marioni
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK; Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Evelin Mihailov
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Joel Eriksson
- Department of Internal Medicine and Clinical Nutrition, University of Gothenburg, Gothenburg 41345, Sweden
| | - Ayse Bilge Ozel
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109-5618, USA
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK; Department of Cardiology, Ealing Hospital, Middlesex UB1 3HW, UK
| | - Maria Nethander
- Bioinformatics Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg 413 90, Sweden
| | - Yu-Ching Cheng
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Stella Aslibekyan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294-0022, USA
| | - Wei Ang
- Medical School, University of Western Australia, Perth, WA 6009, Australia
| | | | - Loïc Yengo
- Centre National de la Recherche Scientifique UMR 8199, University of Lille, Institut Pasteur de Lille, European Genomic Institute for Diabetes, FR 3508, 59000 Lille, France; Program in Complex Trait Genomics, Institute for Molecular Bioscience, University of Queensland, St. Lucia, Brisbane, QLD 4072, Australia
| | - Laura Portas
- Support OU, Institute of Genetic and Biomedic Research, Consiglio Nazionale delle Ricerche, Sassari 7100, Italy
| | - Charles Kooperberg
- Fred Hutchinson Cancer Research Center, Public Health Sciences Division, Mail Stop M3-A410, 1100 Fairview Ave. N., Seattle, WA, USA
| | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University Graz, Graz 8036, Austria; Institute of Medical Informatics, Statistics and Documentation, Medical University Graz, Graz 8036, Austria
| | - Kumar B Rajan
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL 60612, USA
| | - Claudia Schurmann
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Wouter den Hollander
- Department of Medical Statistics and Bio-informatics, Section Molecular Epidemiology, Leiden University Medical Center, Leiden 2333 ZC, the Netherlands
| | - Tarunveer S Ahluwalia
- Steno Diabetes Center Copenhagen, Gentofte 2820, Denmark; Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2100, Denmark
| | - Jing Zhao
- Center for Integrative Genomics, School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Harmen H M Draisma
- Department of Biological Psychology, Netherlands Twin Register, Vrije Universiteit, Amsterdam 1081 BT, the Netherlands; Amsterdam Public Health research institute, VU University Medical Center, Amsterdam 1081 BT, the Netherlands; Neuroscience Campus Amsterdam, Amsterdam 1081 HV, the Netherlands
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow G12 8QQ, UK
| | - Nicholas Timpson
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK
| | - Alexander Teumer
- Department SHIP-KEF, Institute for Community Medicine, University Medicine Greifswald, Greifswald 17475, Germany
| | - Hongyan Huang
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Simone Wahl
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany; German Center for Diabetes Research, Partner Site Munich, Munich 85764, Germany
| | - YongMei Liu
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA
| | - Jie Huang
- Boston VA Research Institute, Inc., Boston, MA 02130, USA
| | - Hae-Won Uh
- Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden 2333 ZC, the Netherlands
| | - Frank Geller
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH16 4UX, UK
| | - Lisa R Yanek
- GeneSTAR Research Center, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Elisabetta Trabetti
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona 37134, Italy
| | - Benjamin Lehne
- Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK
| | - Diego Vozzi
- Institute for Maternal and Child Health, IRCCS "Burlo Garofolo," Trieste 34140, Italy
| | - Marie Verbanck
- Centre National de la Recherche Scientifique UMR 8199, University of Lille, Institut Pasteur de Lille, European Genomic Institute for Diabetes, FR 3508, 59000 Lille, France
| | - Ginevra Biino
- Institute of Molecular Genetics, Consiglio Nazionale delle Ricerche, Pavia 27100, Italy
| | - Yasaman Saba
- Gottfried Schatz Research Center, Institute for Molecular Biology and Biochemistry, 8010 Graz, Austria
| | - Ingrid Meulenbelt
- Department of Medical Statistics and Bio-informatics, Section Molecular Epidemiology, Leiden University Medical Center, Leiden 2333 ZC, the Netherlands
| | - Jeff R O'Connell
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio 70210, Finland
| | - Franco Giulianini
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Christie M Ballantyne
- Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA; Methodist DeBakey Heart and Vascular Center, Houston, TX 77030, USA
| | - Jouke Jan Hottenga
- Department of Biological Psychology, Netherlands Twin Register, Vrije Universiteit, Amsterdam 1081 BT, the Netherlands
| | - Grant W Montgomery
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Fernando Rivadineira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam 3015 CN, the Netherlands
| | - Rico Rueedi
- Department of Computational Biology, University of Lausanne, Lausanne 1010, Switzerland; Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland
| | - Maristella Steri
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Sardinia 08045, Italy
| | - Karl-Heinz Herzig
- Department of Physiology, Institute of Biomedicine, University of Oulu, Medical Research Center Oulu and Oulu University Hospital, Oulu 90014, Finland; Biocenter Oulu, University of Oulu, Oulu 90220, Finland; Department of Gastroenterology and Metabolism, Poznan University of Medical Sciences, Poznan 60-512, Poland
| | - David J Stott
- Institute of Cardiovascular and Medical Sciences, Faculty of Medicine, University of Glasgow, Glasgow G12 8QQ, UK
| | - Cristina Menni
- Department of Twin Research & Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Mattias Frånberg
- Cardiovascular Medicine Unit, Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Stockholm 17176, Sweden; Department of Numerical Analysis and Computer Science, Stockholm University, Stockholm 100 44, Sweden
| | - Beate St Pourcain
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK; Donders Institute, Radboud University, Nijmegen 6525 XD, the Netherlands
| | - Stephan B Felix
- German Centre for Cardiovascular Research, Partner Site Greifswald, Greifswald 17475, Germany; Department for Internal Medicine B, University Medicine Greifswald, Greifswald 17475, Germany
| | - Tune H Pers
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark; Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2100, Denmark
| | - Stephan J L Bakker
- Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherber 85764, Germany
| | - Dhananjay Vaidya
- GeneSTAR Research Center, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Graciela Delgado
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim 68167, Germany
| | - Johannes H Smit
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam University Medical Center/GGZ inGeest Research & Innovation, Amsterdam 1081 HJ, the Netherlands
| | - Vera Großmann
- Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany
| | - Juha Sinisalo
- Heart and Lung Center, Helsinki University Hospital and Helsinki University, Helsinki 00029, Finland
| | - Ilkka Seppälä
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33014, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere 33520, Finland
| | - Stephen R Williams
- Department of Neurology, University of Virginia, Charlottesville, VA 22908, USA
| | - Elizabeth G Holliday
- Hunter Medical Research Institute, New Lambon Heights, NSW 2305, Australia; Centre for Clinical Epidemiology & Biostatistics, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Matthijs Moed
- Molecular Epidemiology, Leiden University Medical Center, Leiden 2333 ZC, the Netherlands
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge CB2 0QQ, UK
| | - Katri Räikkönen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki 00014, Finland
| | - Jingzhong Ding
- Department of Internal Medicine/Geriatrics, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH16 4UX, UK
| | - Michele M Sale
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Yii-Der I Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Alan L James
- Busselton Population Medical Research Institute, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia; Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia
| | - Daniela Ruggiero
- Institute of Genetics and Biophysics "A. Buzzati-Traverso," Consiglio Nazionale delle Ricerche, Napoli 80131, Italy; IRCCS Neuromed, Pozzilli (IS) 86077, Italy
| | - Nicole Soranzo
- Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Catharina A Hartman
- Interdisciplinary Center Psychopathology and Emotion regulation, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, the Netherlands
| | - Erin N Smith
- Department of Pediatrics and Rady Children's Hospital, School of Medicine, University of California, San Diego, La Jolla, CA 92037, USA
| | - Gerald S Berenson
- Center for Cardiovascular Health, Tulane University, New Orleans, LA 70112, USA
| | - Christian Fuchsberger
- Institute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano 39100, Italy
| | - Dena Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD 20892, USA
| | - Carla M T Tiesler
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Centre for Environmental Health, Neuherberg 85764, Germany; Ludwig Maximilian University of Munich, Dr. von Hauner Children's Hospital, Munich 80337, Germany
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences, Molecular Geriatrics, Uppsala University, Uppsala 752 37, Sweden
| | - David Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Krista Fischer
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Dan Mellström
- Department of Internal Medicine and Clinical Nutrition, University of Gothenburg, Gothenburg 41345, Sweden
| | - Anders Larsson
- Department of Medical Sciences, Uppsala University, Uppsala 751 41, Sweden
| | - Yunmei Wang
- Department of Medicine, Case Cardiovascular Research Institute, Case Western Reserve University, Harrington Heart & Vascular Institute, University Hospitals, Cleveland, OH 44106, USA
| | - William R Scott
- Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK
| | - Matthias Lorentzon
- Department of Internal Medicine and Clinical Nutrition, University of Gothenburg, Gothenburg 41345, Sweden; Geriatric Medicine, Sahlgrenska University Hospital, Mölndal 431 80, Sweden
| | - John Beilby
- PathWest Laboratory Medicine WA, Nedlands, WA 6009, Australia; School of Biomedical Sciences, University of Western Australia, Crawley, Perth, WA 6009, Australia
| | - Kathleen A Ryan
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Craig E Pennell
- Medical School, University of Western Australia, Perth, WA 6009, Australia
| | - Dragana Vuckovic
- Medical Sciences, Surgical and Health Department, University of Trieste, Trieste 34137, Italy
| | - Beverly Balkau
- INSERM U1018, Centre de Recherche en Epidémiologie et Santé des Populations, Team 5 (EpReC, Renal, and Cardiovascular Epidemiology), Université de Versailles Saint-Quentin-en-Yvelines, Université Paris-Saclay, Villejuif 94807, France
| | - Maria Pina Concas
- Institute for Maternal and Child Health, IRCCS "Burlo Garofolo," Trieste 34140, Italy
| | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University Graz, Graz 8036, Austria
| | - Carlos F Mendes de Leon
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Erwin P Bottinger
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Margreet Kloppenburg
- Department of Rheumatology, Leiden University Medical Center, Leiden 2300 RC, the Netherlands; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden 2333 ZC, the Netherlands
| | - Lavinia Paternoster
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - A W Musk
- Busselton Population Medical Research Institute, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia; Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia
| | - Gonneke Willemsen
- Department of Biological Psychology, Netherlands Twin Register, Vrije Universiteit, Amsterdam 1081 BT, the Netherlands
| | - David M Evans
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, QLD 4102, Australia; MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK
| | - Pamela A F Madden
- Department of Psychiatry, Washington University School of Medicine, 4560 Clayton Ave., Suite 1000, St. Louis, MO 63110, USA
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere 33520, Finland; Department of Clinical Physiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere 33520, Finland
| | - Zoltán Kutalik
- Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland; Institute of Social and Preventive Medicine, University Hospital of Lausanne, Lausanne 1010, Switzerland
| | - Magdalena Zoledziewska
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Sardinia 08045, Italy
| | - Ville Karhunen
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, 90014 Oulun yliopisto, Finland
| | - Stephen B Kritchevsky
- Gerontology and Geriatric Medicine, Sticht Center on Aging and Rehabilitation, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA
| | - Naveed Sattar
- BHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, Glasgow G12 8TA, UK
| | - Genevieve Lachance
- Department of Twin Research & Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Robert Clarke
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, National Institutes of Health, Bethesda, MD 20892, USA
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku 20520, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku 20520, Finland
| | - John R Attia
- Hunter Medical Research Institute, New Lambon Heights, NSW 2305, Australia; Centre for Clinical Epidemiology & Biostatistics, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW 2308, Australia; John Hunter Hospital, New Lambton Heights, NWS 2305, Australia
| | - Diana van Heemst
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands
| | - Eero Kajantie
- Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki 00014, Finland; Hospital for Children and Adolescents, Helsinki University Central Hospital and University of Helsinki, Helsinki 00290, Finland; Department of Obstetrics and Gynaecology, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu 90014, Finland
| | - Rossella Sorice
- Institute of Genetics and Biophysics "A. Buzzati-Traverso," Consiglio Nazionale delle Ricerche, Napoli 80131, Italy
| | - Giovanni Gambaro
- Division of Nephrology and Dialysis, Columbus-Gemelli University Hospital, Università Cattolica del Sacro Cuore, Roma 168, Italy
| | - Robert A Scott
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge CB2 0QQ, UK
| | - Andrew A Hicks
- Institute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano 39100, Italy
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | - Marie Standl
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Centre for Environmental Health, Neuherberg 85764, Germany
| | - Cecilia M Lindgren
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, UK; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK; Alzheimer's Scotland Dementia Research Centre, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Magnus Karlsson
- Department of Clinical Sciences and Orthopaedic Surgery, Lund University, Malmo 20502, Sweden
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala 751 41, Sweden
| | - Jun Z Li
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109-5618, USA
| | - John C Chambers
- Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK; Department of Cardiology, Ealing Hospital, Middlesex UB1 3HW, UK; Imperial College Healthcare NHS Trust, London W12 0HS, UK; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore; MRC-PHE Centre for Environment and Health, Imperial College London, London W2 1PG, UK
| | - Trevor A Mori
- Medical School, University of Western Australia, Perth, WA 6009, Australia
| | - Eco J C N de Geus
- Department of Biological Psychology, Netherlands Twin Register, Vrije Universiteit, Amsterdam 1081 BT, the Netherlands; Amsterdam Public Health research institute, VU University Medical Center, Amsterdam 1081 BT, the Netherlands
| | - Andrew C Heath
- Department of Psychiatry, Washington University School of Medicine, 4560 Clayton Ave., Suite 1000, St. Louis, MO 63110, USA
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Juha Auvinen
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, 90014 Oulun yliopisto, Finland; Unit of Primary Health Care, Oulu University Hospital, Oulu 90220, Finland
| | - Brendan M Buckley
- Department of Epidemiology and Public Health, University College Cork, Cork T12 K8AF, Ireland
| | - Anton J M de Craen
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands
| | - Melanie Waldenberger
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany; German Center for Cardiovascular Research, Partner Site Munich Heart Alliance, 80636 Munich, Germany
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany; Genetic Epidemiology, Institute of Medical Informatics, Biometry, and Epidemiology, Faculty of Medicine, Ludwig Maximilian University of Munich, Neuherberg 85764, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Technische Universität München, Munich 85764, Germany; Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg 85764, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich 81377, Germany
| | - Rodney J Scott
- Hunter Medical Research Institute, New Lambon Heights, NSW 2305, Australia; Information-Based Medicine Stream, Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
| | - Mark McEvoy
- Hunter Medical Research Institute, New Lambon Heights, NSW 2305, Australia; Centre for Clinical Epidemiology & Biostatistics, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Marian Beekman
- Molecular Epidemiology, Leiden University Medical Center, Leiden 2333 ZC, the Netherlands
| | - Cristina Bombieri
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona 37134, Italy
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Dorret I Boomsma
- Department of Biological Psychology, Netherlands Twin Register, Vrije Universiteit, Amsterdam 1081 BT, the Netherlands
| | - John B Whitfield
- QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - David P Strachan
- Population Health Research Institute, St. George's, University of London, London SW17 0RE, UK
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Peter Vollenweider
- Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne 1011, Switzerland
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Sardinia 08045, Italy
| | - Marjo-Riitta Jarvelin
- Biocenter Oulu, University of Oulu, Oulu 90220, Finland; Center for Life Course Health Research, Faculty of Medicine, University of Oulu, 90014 Oulun yliopisto, Finland; Unit of Primary Health Care, Oulu University Hospital, Oulu 90220, Finland; Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of Public Health, Imperial College London, London W2 1PG, UK; Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Kingston Lane, Uxbridge, Middlesex UB8 3PH, UK
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden 2300 RC, the Netherlands; Durrer Center for Cardiogenetic Research, Amsterdam 3501 DG, the Netherlands; Interuniversity Cardiology Institute of the Netherlands, Utrecht 3511 EP, the Netherlands
| | - Tim D Spector
- Department of Twin Research & Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Anders Hamsten
- Cardiovascular Medicine Unit, Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Stockholm 17176, Sweden
| | - Tanja Zeller
- Department of General and Interventional Cardiology, University Heart Center Hamburg, Hamburg 20246, Germany; German Center for Cardiovascular Research, Partner Site RhineMain, 55131 Mainz, Germany
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Internal Medicine, Erasmus University Medical Center, Rotterdam 3015 CN, the Netherlands
| | - Matthias Nauck
- German Centre for Cardiovascular Research, Partner Site Greifswald, Greifswald 17475, Germany; Institute for Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald 17475, Germany
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur 201, Iceland; Faculty of Medicine, University of Iceland, Reykjavik 101, Iceland
| | - Lu Qi
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
| | - Harald Grallert
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany; German Center for Diabetes Research, Partner Site Munich, Munich 85764, Germany
| | - Ingrid B Borecki
- Analytical Genetics Group, Regeneron Genetics Center, Regeneron Pharmaceuticals, Inc., Tarrytown, NY 10591, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Winfried März
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim 68167, Germany; Synlab Academy, Synlab Holding Deutschland GmbH, Mannheim 68161, Germany; Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz 8036, Austria
| | - Philipp S Wild
- German Center for Cardiovascular Research, Partner Site RhineMain, 55131 Mainz, Germany; Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany; Preventive Cardiology and Preventive Medicine, Center for Cardiology, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz 55131, Germany
| | - Marja-Liisa Lokki
- Transplantation Laboratory, Medicum, University of Helsinki, Helsinki 00014, Finland
| | - Michael Boyle
- John Hunter Hospital, New Lambton Heights, NWS 2305, Australia
| | - Veikko Salomaa
- National Institute for Health and Welfare, Helsinki 00271, Finland
| | - Mads Melbye
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen 2300, Denmark; Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Johan G Eriksson
- National Institute for Health and Welfare, Helsinki 00271, Finland; Folkhälsan Research Centre, Helsinki 00250, Finland; Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki 00014, Finland
| | - James F Wilson
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH16 4UX, UK; MRC Human Genetics Unit, Institute for Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam University Medical Center/GGZ inGeest Research & Innovation, Amsterdam 1081 HJ, the Netherlands
| | - Diane M Becker
- GeneSTAR Research Center, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Bradford B Worrall
- Departments of Neurology and Public Health Sciences, University of Virginia Charlottesville, Charlottesville, VA 22908-0394, USA
| | - Greg Gibson
- Center for Integrative Genomics, School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Ronald M Krauss
- Children's Hospital Oakland Research Institute, Oakland, CA 94609, USA
| | - Marina Ciullo
- Institute of Genetics and Biophysics "A. Buzzati-Traverso," Consiglio Nazionale delle Ricerche, Napoli 80131, Italy; IRCCS Neuromed, Pozzilli (IS) 86077, Italy
| | - Gianluigi Zaza
- Renal Unit, Department of Medicine, Verona University Hospital, Verona 37126, Italy
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge CB2 0QQ, UK
| | - Albertine J Oldehinkel
- Interdisciplinary Center Psychopathology and Emotion regulation, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, the Netherlands
| | - Lyle J Palmer
- School of Public Health, University of Adelaide, Adelaide, SA 5000, Australia
| | - Sarah S Murray
- Department of Pathology, University of California, San Diego, San Diego, CA 92121, USA
| | - Peter P Pramstaller
- Institute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano 39100, Italy; General Central Hospital, Department of Neurology, Bolzano 39100, Italy; Department of Neurology, University of Lübeck, Lübeck 23538, Germany
| | | | - Joachim Heinrich
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Centre for Environmental Health, Neuherberg 85764, Germany; Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich, Member DZL, German Center for Lung Research, 81377 Munich, Germany
| | - Erik Ingelsson
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala 751 41, Sweden; Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA; Stanford Cardiovascular Institute, Stanford University, Stanford, CA 94305, USA
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK; Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Liesbeth Vandenput
- Department of Internal Medicine and Clinical Nutrition, University of Gothenburg, Gothenburg 41345, Sweden
| | - Pim van der Harst
- University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen 9713 AV, the Netherlands
| | - Karl C Desch
- Department of Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital, Middlesex UB1 3HW, UK; Imperial College Healthcare NHS Trust, London W12 0HS, UK; MRC-PHE Centre for Environment and Health, Imperial College London, London W2 1PG, UK; National Heart and Lung Institute, Imperial College London, London W12 0NN, UK
| | - Claes Ohlsson
- Department of Internal Medicine and Clinical Nutrition, University of Gothenburg, Gothenburg 41345, Sweden
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute for Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33014, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere 33520, Finland
| | - Alan R Shuldiner
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Donna K Arnett
- University of Kentucky, College of Public Health, Lexington, KY 40508, USA
| | - Lawrence J Beilin
- Medical School, University of Western Australia, Perth, WA 6009, Australia
| | - Antonietta Robino
- Institute for Maternal and Child Health, IRCCS "Burlo Garofolo," Trieste 34140, Italy
| | - Philippe Froguel
- Centre National de la Recherche Scientifique UMR 8199, University of Lille, Institut Pasteur de Lille, European Genomic Institute for Diabetes, FR 3508, 59000 Lille, France; Department of Genomics of Common Disease, School of Public Health, Imperial College London, London SW7 2AZ, UK
| | - Mario Pirastu
- Support OU, Institute of Genetic and Biomedic Research, Consiglio Nazionale delle Ricerche, Sassari 7100, Italy
| | - Tine Jess
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Frederiksberg 2200, Denmark
| | - Wolfgang Koenig
- German Center for Cardiovascular Research, Partner Site Munich Heart Alliance, 80636 Munich, Germany; Department of Internal Medicine II-Cardiology, University of Ulm Medical Center, 80801 Ulm, Germany; Deutsches Herzzentrum München, Technische Universität München, 80636 Munich, Germany
| | - Ruth J F Loos
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029-6542, USA
| | - Denis A Evans
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL 60612, USA
| | - Helena Schmidt
- Department of Neurology, Medical University Graz, Graz 8010, Austria; Institute of Molecular Biology and Biochemistry, Centre for Molecular Medicine, Medical University of Graz, Graz 8010, Austria
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK
| | - P Eline Slagboom
- Molecular Epidemiology, Leiden University Medical Center, Leiden 2333 ZC, the Netherlands
| | | | - Andrew P Morris
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK; Department of Biostatistics, University of Liverpool, Liverpool L69 3GL, UK
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA; Department of Epidemiology, University of Washington, Seattle, WA 98101, USA; Department of Health Services, University of Washington, Seattle, WA 98195-7660, USA; Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101, USA
| | - Russell P Tracy
- Department of Pathology, University of Vermont, Colchester, VT 05405, USA
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Alex P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA 98101, USA
| | - Myron Gross
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Lude Franke
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Oscar H Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands; Institute of Social and Preventive Medicine, University of Bern, 3012 Bern, Switzerland
| | - Emelia J Benjamin
- Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA; National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Josée Dupuis
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA; Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of Public Health, Imperial College London, London W2 1PG, UK.
| | - Behrooz Z Alizadeh
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands.
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Danchaivijitr P, Dechaphunkul A, Paoin C, Setakornnukul J, Dechaphunkul T, Jiratrachu R, Niyomnaitham S, Suktitipat B, Sookthon C, Pattaranutaporn P, Jiarpinitnun C, Ngamphaiboon N. Survival benefit of adjuvant chemotherapy vs active surveillance in locally advanced nasopharyngeal carcinoma: A multicenter retrospective study. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy287.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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18
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Dechaphunkul A, Danchaivijitr P, Jiratrachu R, Dechaphunkul T, Sookthon C, Jiarpinitnun C, Paoin C, Setakornnukul J, Niyomnaitham S, Suktitipat B, Pattaranutaporn P, Ngamphaiboon N. Comparison of 3-weekly cisplatin versus 3-weekly carboplatin in patients with locally advanced nasopharyngeal carcinoma (LA-NPC) receiving concurrent chemoradiotherapy (CCRT): A multicenter retrospective study. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy287.032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Tirawanchai N, Supapornhemin S, Somkasetrin A, Suktitipat B, Ampawong S. Regulatory effect of Phikud Navakot extract on HMG-CoA reductase and LDL-R: potential and alternate agents for lowering blood cholesterol. Altern Ther Health Med 2018; 18:258. [PMID: 30249222 PMCID: PMC6154411 DOI: 10.1186/s12906-018-2327-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Accepted: 09/17/2018] [Indexed: 11/15/2022]
Abstract
Background For decades, various cardiovascular symptoms have been relieved by the use of Ya-Hom Navakot, which is a formulation comprising 54 herbal medicines. The Thailand Ministry of Public Health listed Ya-Hom Navakot’s nine active principle and nomenclative herbal ingredients and termed them ‘Phikud Navakot’ (PN). Several reports have confirmed that PN has cardiovascular benefits similar to Ya-Hom Navakot. However, whether PN facilitates lipid-lowering activity remains unclear. Methods The present study investigated an in vitro model for examining the gene expression levels of 3-hydroxyl-3-methylglutaryl-CoA reductase (HMGCR) and low-density lipoprotein receptor (LDL-R) in HepG2 cells using qRT-PCR. The ethanol and water extractions of Ya-Hom Navakot, PN and Ya-Hom Navakot without PN were compared. Results One mg/ml of both NYEF and NYWF were found to significantly lower cholesterol by either the up-regulation of LDL-R or down-regulation of HMGCR compared with negative controls and 1 mg/ml simvastatin (p < 0.05). PNEF also up-regulated LDL-R gene expression, even more than NYEF (p < 0.05). In addition, the ethanol and water extracts of PN significantly down-regulated HMGCR gene expression compared with those of Ya-Hom Navakot without PN (p < 0.05). Conclusion The use of Ya-Hom Navakot or PN may provide an alternative treatment to lower cholesterol through HMGCR gene inhibition and LDL-R gene enhancement.
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Lert-Itthiporn W, Suktitipat B, Grove H, Sakuntabhai A, Malasit P, Tangthawornchaikul N, Matsuda F, Suriyaphol P. Validation of genotype imputation in Southeast Asian populations and the effect of single nucleotide polymorphism annotation on imputation outcome. BMC Med Genet 2018; 19:23. [PMID: 29439659 PMCID: PMC5812212 DOI: 10.1186/s12881-018-0534-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Accepted: 01/24/2018] [Indexed: 11/24/2022]
Abstract
Background Imputation involves the inference of untyped single nucleotide polymorphisms (SNPs) in genome-wide association studies. The haplotypic reference of choice for imputation in Southeast Asian populations is unclear. Moreover, the influence of SNP annotation on imputation results has not been examined. Methods This study was divided into two parts. In the first part, we applied imputation to genotyped SNPs from Southeast Asian populations from the Pan-Asian SNP database. Five percent of the total SNPs were removed. The remaining SNPs were applied to imputation with IMPUTE2. The imputed outcomes were verified with the removed SNPs. We compared imputation references from Chinese and Japanese haplotypes from the HapMap phase II (HMII) and the complete set of haplotypes from the 1000 Genomes Project (1000G). The second part was imputation accuracy and yield in Thai patient dataset. Half of the autosomal SNPs was removed to create Set 1. Another dataset, Set 2, was then created where we switched which half of the SNPs were removed. Both Set 1 and Set 2 were imputed with HMII to create a complete imputed SNPs dataset. The dataset was used to validate association testing, SNPs annotation and imputation outcome. Results The accuracy was highest for all populations when using the HMII reference, but at the cost of a lower yield. Thai genotypes showed the highest accuracy over other populations in both HMII and 1000G panels, although accuracy and yield varied across chromosomes. Imputation was tested in a clinical dataset to compare accuracy in gene-related regions, and coding regions were found to have a higher accuracy and yield. Conclusions This work provides the first evidence of imputation reference selection for Southeast Asian studies and highlights the effects of SNP locations respective to genes on imputation outcome. Researchers will need to consider the trade-off between accuracy and yield in future imputation studies. Electronic supplementary material The online version of this article (10.1186/s12881-018-0534-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Worachart Lert-Itthiporn
- Molecular Medicine Graduate Program, Faculty of Science, Mahidol University, Bangkok, Thailand.,Division of Bioinformatics and Data Management for Research, Department of Research and Development, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Bhoom Suktitipat
- Integrative Computational BioScience Center, Department of Biochemistry, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.,Center of Excellence in Bioinformatics and Clinical Data Management, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Harald Grove
- Division of Bioinformatics and Data Management for Research, Department of Research and Development, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.,Center of Excellence in Bioinformatics and Clinical Data Management, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Anavaj Sakuntabhai
- Unité de Génétique Fonctionnelle des Maladies Infectieuses, Department Genome and Genetics, Institut Pasteur, Paris, France.,Centre National de la Recherche Scientifique, URA3012, Paris, France.,Systems Biology of Diseases Research Unit, Faculty of Science, Mahidol University, Bangkok, Thailand
| | - Prida Malasit
- Medical Biotechnology Research Unit, National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Bangkok, Thailand.,Division of Dengue Hemorrhagic Fever Research, Department of Research and Development, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Nattaya Tangthawornchaikul
- Medical Biotechnology Research Unit, National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Bangkok, Thailand.,Division of Dengue Hemorrhagic Fever Research, Department of Research and Development, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Prapat Suriyaphol
- Division of Bioinformatics and Data Management for Research, Department of Research and Development, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand. .,Center of Excellence in Bioinformatics and Clinical Data Management, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
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21
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Suktitipat B, Sathirareuangchai S, Roothumnong E, Thongnoppakhun W, Wangkiratikant P, Vorasan N, Krittayaphong R, Pithukpakorn M, Boonyapisit W. Molecular investigation by whole exome sequencing revealed a high proportion of pathogenic variants among Thai victims of sudden unexpected death syndrome. PLoS One 2017; 12:e0180056. [PMID: 28704380 PMCID: PMC5509116 DOI: 10.1371/journal.pone.0180056] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Accepted: 06/08/2017] [Indexed: 12/30/2022] Open
Abstract
Introduction Sudden unexpected death syndrome (SUDS) is an important cause of death in young healthy adults with a high incident rate in Southeast Asia; however, there are no molecular autopsy reports about these victims. We performed a combination of both a detailed autopsy and a molecular autopsy by whole exome sequencing (WES) to investigate the cause of SUDS in Thai sudden death victims. Materials and methods A detailed forensic autopsy was performed to identify the cause of death, followed by a molecular autopsy, in 42 sudden death victims who died between January 2015 and August 2015. The coding sequences of 98 SUDS-related genes were sequenced using WES. Potentially causative variants were filtered based on the variant functions annotated in the dbNSFP database. Variants with inconclusive clinical significance evidence in ClinVar were resolved with a variant prediction algorithm, metaSVM, and the frequency data of the variants found in public databases, such as the 1000 Genome Project, ESP6500 project, and the Exome Aggregation Consortium (ExAc) project. Results Combining both autopsy and molecular autopsy enabled the potential identification of cause of death in 81% of the cases. Among the 25 victims with WES data, 72% (18/25) were found to have potentially causative SUDS mutations. The majority of the victims had at a mutation in the TTN gene (8/18 = 44%), and only one victim had an SCN5A mutation. Conclusions WES can help to identify the genetic causes in victims of SUDS and may help to further guide investigations into their relatives to prevent additional SUDS victims.
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Affiliation(s)
- Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Integrative Computational BioScience Center (ICBS), Mahidol University, Bangkok, Thailand
| | - Sakda Sathirareuangchai
- Department of Forensic Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Ekkapong Roothumnong
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Wanna Thongnoppakhun
- Department of Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Purin Wangkiratikant
- Research Division, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Nutchavadee Vorasan
- Research Division, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Rungroj Krittayaphong
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Manop Pithukpakorn
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Warangkna Boonyapisit
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- * E-mail:
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22
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Phoompoung P, Ankasekwinai N, Pithukpakorn M, Foongladda S, Umrod P, Suktitipat B, Mahasirimongkol S, Kiertiburanakul S, Suputtamongkol Y. Factors associated with acquired Anti IFN- γ autoantibody in patients with nontuberculous mycobacterial infection. PLoS One 2017; 12:e0176342. [PMID: 28437431 PMCID: PMC5402934 DOI: 10.1371/journal.pone.0176342] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2016] [Accepted: 04/10/2017] [Indexed: 11/23/2022] Open
Abstract
Background The clinical syndrome of disseminated nontuberculous mycobacterial (NTM) infection in patients who were previously healthy is now well recognized to be associated with an acquired autoantibody to Interferon gamma (Anti IFN- γ autoantibody). However, the risk factors of this syndrome remain unknown. Method We performed an unmatched case control study among patients with NTM diseases who were diagnosed and treated at Siriraj Hospital, Bangkok, Thailand. Anti-IFN autoantibody was detected by enzyme-linked immunosorbent assay (ELISA) method. Cases were patients with NTM diseases and detectable anti IFN- γ autoantibody. Controls were randomly selected from those with undetectable anti IFN- γ autoantibody. Data from both groups including demographic data, clinical presentation, laboratory results, other risk factors and HLA genotypes were collected. Univariate and multivariate analyses were performed to identify independent risk factors for this syndrome. Results 70 cases (mean age 50 ± 11 years) and 70 controls (mean age 58 ± 18 years) were enrolled into the study. Mycobacterial abscessus was the most common NTM pathogen found in both groups (72.9% in cases and 41.4% in controls respectively). However, disseminated NTM disease was significantly more common in cases (92.9%) than in the controls (14.3%, p<0.001). Binary logistic regression analysis showed that previous OIs (adjusted OR14.87, 95% CI 2.36–93.86), birthplace outside Central region (adjusted OR 19.19, 95% CI 3.86–95.35), lack of comorbidities lead to immunosuppression, such as HIV infection or diabetes mellitus (adjusted OR 23.68, 95% CI 4.01–139.94), and presence of HLA DRB1*15/16 (adjusted OR 153.28, 95% CI 16.87–139.88) were independent factors associated with this syndrome. Conclusion Patients with NTM disease associated with anti IFN- γ autoantibody are almost always previously healthy and HIV negative. Most of these patients presented with disseminated NTM disease with generalized lymphadenitis and often with reactive skin lesions. Factors associated with detectable anti IFN- γ autoantibody are HLA-DRB1 and DQB1 alleles, and history of previous OIs in patients without comorbidity that leads to immunosuppression. Further studies are needed to better understand these associations and to improve the treatment outcome.
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Affiliation(s)
- Pakpoom Phoompoung
- Department of Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Nasikarn Ankasekwinai
- Department of Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Manop Pithukpakorn
- Department of Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Suporn Foongladda
- Department of Microbiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Pinklow Umrod
- Department of Immunology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | | | - Sasisopin Kiertiburanakul
- Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Yupin Suputtamongkol
- Department of Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
- * E-mail:
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23
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Jirawatnotai S, Sharma S, Michowski W, Suktitipat B, Geng Y, Quackenbush J, Elias JE, Gygi SP, Wang YE, Sicinski P. The cyclin D1-CDK4 oncogenic interactome enables identification of potential novel oncogenes and clinical prognosis. Cell Cycle 2015; 13:2889-900. [PMID: 25486477 DOI: 10.4161/15384101.2014.946850] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Overexpression of cyclin D1 and its catalytic partner, CDK4, is frequently seen in human cancers. We constructed cyclin D1 and CDK4 protein interaction network in a human breast cancer cell line MCF7, and identified novel CDK4 protein partners. Among CDK4 interactors we observed several proteins functioning in protein folding and in complex assembly. One of the novel partners of CDK4 is FKBP5, which we found to be required to maintain CDK4 levels in cancer cells. An integrative analysis of the extended cyclin D1 cancer interactome and somatic copy number alterations in human cancers identified BAIAPL21 as a potential novel human oncogene. We observed that in several human tumor types BAIAPL21 is expressed at higher levels as compared to normal tissue. Forced overexpression of BAIAPL21 augmented anchorage independent growth, increased colony formation by cancer cells and strongly enhanced the ability of cells to form tumors in vivo. Lastly, we derived an Aggregate Expression Score (AES), which quantifies the expression of all cyclin D1 interactors in a given tumor. We observed that AES has a prognostic value among patients with ER-positive breast cancers. These studies illustrate the utility of analyzing the interactomes of proteins involved in cancer to uncover potential oncogenes, or to allow better cancer prognosis.
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Key Words
- ACN, acetonitrile
- AES, aggregate expression score
- ATCC, American type culture collection
- CDK4
- DMEM, Dulbecco's Modified Eagle's medium
- FBS, fetal bovine serum
- LC-MS/MS, liquid chromatography-tandem mass spectrometry
- PPI, protein-protein interaction
- RPMI, Roswell Park Memorial Institute medium
- SCNA, somatic copy-number variation
- TCGA, the cancer genome atlas
- WB, immunoblotting
- breast cancer
- cyclin D1
- interactome
- oncogenes
- oncogenic signature
- siFKBP4, FKBP4-specific small interfering RNA
- siFKBP5, FKBP5-specific small interfering RNA
- siRNA, small interfering RNA
- sicont, control small interfering RNA
- sicyclin D1, cyclin D1-specific small interfering RNA
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Affiliation(s)
- Siwanon Jirawatnotai
- a Department of Pharmacology; Faculty of Medicine Siriraj Hospital ; Mahidol University ; Bangkok , Thailand
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Pithukpakorn M, Roothumnong E, Angkasekwinai N, Suktitipat B, Assawamakin A, Luangwedchakarn V, Umrod P, Thongnoppakhun W, Foongladda S, Suputtamongkol Y. HLA-DRB1 and HLA-DQB1 Are Associated with Adult-Onset Immunodeficiency with Acquired Anti-Interferon-Gamma Autoantibodies. PLoS One 2015; 10:e0128481. [PMID: 26011559 PMCID: PMC4444022 DOI: 10.1371/journal.pone.0128481] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2015] [Accepted: 04/27/2015] [Indexed: 11/29/2022] Open
Abstract
Recently a newly identified clinical syndrome of disseminated non-tuberculous mycobacterial diseases (with or without other opportunistic infections in adult patients who were previously healthy, has been recognized in association with an acquired autoantibody to interferon-gamma. This syndrome is emerging as an important cause of morbidity and mortality, especially among people of Asian descent. Trigger for the production of this autoantibody remains unknown, but genetic factors are strongly suspected to be involved. We compared HLA genotyping between 32 patients with this clinical syndrome, and 38 controls. We found that this clinical syndrome was associated with very limited allele polymorphism, with HLA-DRB1 and DQB1 alleles, especially HLA-DRB1*15:01, DRB1*16:02, DQB1*05:01 and DQB1*05:02. Odds ratio of DRB1*15:01, DRB1*16:02, DQB1*05:01 and DQB1*05:02 were 7.03 (95% CI, 2.18–22.69, P<0.0001, 9.06 (95% CI, 2.79–29.46, P<0.0001), 6.68 (95% CI, 2.29–19.52, P = 0.0004), and 6.64 (95% CI, 2.30–19.20, P = 0.0004), respectively. Further investigation is warranted to provide better understanding on pathogenesis of this association.
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Affiliation(s)
- Manop Pithukpakorn
- Division of Medical Genetics, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Ekkapong Roothumnong
- Division of Medical Genetics, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Division of Molecular Genetics, Department of Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Nasikarn Angkasekwinai
- Division of Infectious Diseases and Tropical Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Anunchai Assawamakin
- Division of Molecular Genetics, Department of Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Department of Pharmacology, Faculty of Pharmacy, Mahidol University, Bangkok, Thailand
| | - Voravich Luangwedchakarn
- Department of Immunology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Pinklow Umrod
- Department of Immunology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Wanna Thongnoppakhun
- Division of Molecular Genetics, Department of Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Suporn Foongladda
- Department of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Yupin Suputtamongkol
- Division of Infectious Diseases and Tropical Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- * E-mail:
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Opasanon S, Pongsapich W, Taweepraditpol S, Suktitipat B, Chuangsuwanich A. Clinical Effectiveness of Hyperbaric Oxygen Therapy in Complex Wounds. J Am Coll Clin Wound Spec 2015; 6:9-13. [PMID: 26442206 DOI: 10.1016/j.jccw.2015.03.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Hyperbaric Oxygen (HBO, HBO2) Therapy is a non-invasive therapy. It has been applied as adjuvant treatment in many medical conditions over the past 50 years. Different treatment protocols have been proven effective for specifically indicated conditions. To evaluate the clinical effectiveness of Hyperbaric Oxygen (HBO) Therapy as an adjunctive treatment for patients with complex wounds. In this prospective cohort study, 40 patients with complex wounds were included. All patients received HBO. HBO was delivered with 100% oxygen for 90 min at 2.0-2.4 ATA. Wound sizes were assessed by one wound surgeon before, during, and every 2 weeks for a total of 12 months after HBO. An analysis of demographic data, wound size and wound photography was performed. Over the 22-month period ending October 31, 2013, 40 patients (21 men and 19 women) with a mean age of 59.73 (range, 29-88) with complex wounds were included. All complex wounds studied were at least 6 months old. The mean wound size was 16.72 cm(2) in diameter. Thirty-one patients with complex wounds healed after the completion of a series of HBO treatments (77.5%). Two orocutaneous fistulas were completely closed without further surgery. After 5 HBO treatments, the wound size reduced by 29.7% on average (p = 1.24 × 10(-6)). After 10 HBO treatments, the wound size statistically significantly reduced by an additional 16.9% (p = 0.0002). There were no complications in this study. Wound healing process was accelerated by HBO. Significant wound size reduction was noted after 5 HBO treatments. Because the biggest reduction in wound size occurred within the first 10 HBO treatments, it is important to conduct these first treatments without interruption. HBO is an effective and safe treatment modality for complex wounds.
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Affiliation(s)
- Supaporn Opasanon
- Siriraj Hyperbaric Medical Center/Wound Care Center, Division of Trauma Surgery, Department of Surgery, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Warut Pongsapich
- Department of Otorhinolaryngology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Sitthichoke Taweepraditpol
- Division of Plastic Surgery, Department of Surgery, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine, Siriraj Hospital, Mahidol University, Thailand ; Integrative Computational BioScience Center, Mahidol University, Thailand
| | - Apirag Chuangsuwanich
- Division of Plastic Surgery, Department of Surgery, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
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Li Q, Kim Y, Suktitipat B, Hetmanski JB, Marazita ML, Duggal P, Beaty TH, Bailey-Wilson JE. Gene-Gene Interaction Among WNT Genes for Oral Cleft in Trios. Genet Epidemiol 2015; 39:385-94. [PMID: 25663376 DOI: 10.1002/gepi.21888] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2014] [Revised: 12/15/2014] [Accepted: 12/18/2014] [Indexed: 10/24/2022]
Abstract
Genome-wide association studies (GWAS) for nonsyndromic cleft lip with or without cleft palate (CL/P) have identified multiple genes as important in the etiology of this common birth defect. We performed a candidate gene/pathway analysis explicitly considering gene-gene (G × G) interaction to further explore the etiology of CL/P. Animal models have shown the WNT signaling pathway plays an important role in mid-facial development, and various genes in this pathway have been associated with nonsyndromic CL/P in previous studies. We propose a combined approach to search for possible G × G interactions using machine learning and regression-based methods to test for interactions between genes in the WNT family, and between these genes and other genes identified by GWAS in case-parent trios. Using this combined approach of regression-based and machine learning methods in CL/P case-parent trios, we found robust evidence of G × G interaction between markers in WNT5B and MAFB (empiric P-values = 0.0076 among Asian trios and P-values = 0.018 among European trios). Additional evidence for epistatic interaction between markers in WNT5A, IRF6, and C1orf107 was seen among Asian trios, and markers in the 8q24 region and WNT5B among European trios.
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Affiliation(s)
- Qing Li
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland, United States of America
| | - Yoonhee Kim
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland, United States of America
| | - Bhoom Suktitipat
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland, United States of America.,Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Jacqueline B Hetmanski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Mary L Marazita
- Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Priya Duggal
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Terri H Beaty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Joan E Bailey-Wilson
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland, United States of America
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Tresukosol D, Suktitipat B, Hunnangkul S, Kamkaew R, Poldee S, Tassaneetrithep B, Likidlilid A. Effects of cytochrome P450 2C19 and paraoxonase 1 polymorphisms on antiplatelet response to clopidogrel therapy in patients with coronary artery disease. PLoS One 2014; 9:e110188. [PMID: 25329996 PMCID: PMC4199712 DOI: 10.1371/journal.pone.0110188] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2014] [Accepted: 09/08/2014] [Indexed: 12/20/2022] Open
Abstract
Clopidogrel is an antiplatelet prodrug that is recommended to reduce the risk of recurrent thrombosis in coronary artery disease (CAD) patients. Paraoxonase 1 (PON1) is suggested to be a rate-limiting enzyme in the conversion of 2-oxo-clopidogrel to active thiol metabolite with inconsistent results. Here, we sought to determine the associations of CYP2C19 and PON1 gene polymorphisms with clopidogrel response and their role in ADP-induced platelet aggregation. Clopidogrel response and platelet aggregation were determined using Multiplate aggregometer in 211 patients with established CAD who received 75 mg clopidogrel and 75–325 mg aspirin daily for at least 14 days. Polymorphisms in CYP2C19 and PON1 were genotyped and tested for association with clopidogrel resistance. Linkage disequilibrium (LD) and their epistatic interaction effects on ADP-induced platelet aggregation were analysed. The prevalence of clopidogrel resistance in this population was approximately 33.2% (n = 70). The frequencies of CYP2C19*2 and *3 were significantly higher in non-responder than those in responders. After adjusting for established risk factors, CYP2C19*2 and *3 alleles independently increased the risk of clopidogrel resistance with adjusted ORs 2.94 (95%CI, 1.65–5.26; p<0.001) and 11.26 (95%CI, 2.47–51.41; p = 0.002, respectively). Patients with *2 or *3 allele and combined with smoking, diabetes and increased platelet count had markedly increased risk of clopidogrel resistance. No association was observed between PON1 Q192R and clopidogrel resistance (adjusted OR = 1.13, 95%CI, 0.70–1.82; p = 0.622). Significantly higher platelet aggregation values were found in CYP2C19*2 and *3 patients when compared with *1/*1 allele carriers (p = 1.98×10−6). For PON1 Q192R genotypes, aggregation values were similar across all genotype groups (p = 0.359). There was no evidence of gene-gene interaction or LD between CYP2C19 and PON1 polymorphisms on ADP-induced platelet aggregation. Our findings indicated that only CYP2C19*2 and *3 alleles had an influence on clopidogrel resistance. The risk of clopidogrel resistance increased further with smoking, diabetes, and increased platelet count.
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Affiliation(s)
- Damrus Tresukosol
- Division of Cardiology, Department of Internal Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Siriraj, Bangkoknoi, Bangkok, Thailand
| | - Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine, Siriraj Hospital, Mahidol University, Siriraj, Bangkoknoi, Bangkok, Thailand
- Integrative Computation BioScience Center (ICBS), Mahidol University, Salaya, Nakhon Prathom, Thailand
| | - Saowalak Hunnangkul
- Department of Health Research and Development, Faculty of Medicine, Siriraj Hospital, Mahidol University, Siriraj, Bangkoknoi, Bangkok, Thailand
| | - Ruttakarn Kamkaew
- Department of Biochemistry, Faculty of Medicine, Siriraj Hospital, Mahidol University, Siriraj, Bangkoknoi, Bangkok, Thailand
| | - Saiphon Poldee
- Department of Biochemistry, Faculty of Medicine, Siriraj Hospital, Mahidol University, Siriraj, Bangkoknoi, Bangkok, Thailand
| | - Boonrat Tassaneetrithep
- Department of Health Research and Development, Faculty of Medicine, Siriraj Hospital, Mahidol University, Siriraj, Bangkoknoi, Bangkok, Thailand
| | - Atip Likidlilid
- Department of Biochemistry, Faculty of Medicine, Siriraj Hospital, Mahidol University, Siriraj, Bangkoknoi, Bangkok, Thailand
- * E-mail:
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Suktitipat B, Naktang C, Mhuantong W, Tularak T, Artiwet P, Pasomsap E, Jongjaroenprasert W, Fuchareon S, Mahasirimongkol S, Chantratita W, Yimwadsana B, Charoensawan V, Jinawath N. Copy number variation in Thai population. PLoS One 2014; 9:e104355. [PMID: 25118596 PMCID: PMC4131886 DOI: 10.1371/journal.pone.0104355] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2014] [Accepted: 07/02/2014] [Indexed: 11/19/2022] Open
Abstract
Copy number variation (CNV) is a major genetic polymorphism contributing to genetic diversity and human evolution. Clinical application of CNVs for diagnostic purposes largely depends on sufficient population CNV data for accurate interpretation. CNVs from general population in currently available databases help classify CNVs of uncertain clinical significance, and benign CNVs. Earlier studies of CNV distribution in several populations worldwide showed that a significant fraction of CNVs are population specific. In this study, we characterized and analyzed CNVs in 3,017 unrelated Thai individuals genotyped with the Illumina Human610, Illumina HumanOmniexpress, or Illumina HapMap550v3 platform. We employed hidden Markov model and circular binary segmentation methods to identify CNVs, extracted 23,458 CNVs consistently identified by both algorithms, and cataloged these high confident CNVs into our publicly available Thai CNV database. Analysis of CNVs in the Thai population identified a median of eight autosomal CNVs per individual. Most CNVs (96.73%) did not overlap with any known chromosomal imbalance syndromes documented in the DECIPHER database. When compared with CNVs in the 11 HapMap3 populations, CNVs found in the Thai population shared several characteristics with CNVs characterized in HapMap3. Common CNVs in Thais had similar frequencies to those in the HapMap3 populations, and all high frequency CNVs (>20%) found in Thai individuals could also be identified in HapMap3. The majorities of CNVs discovered in the Thai population, however, were of low frequency, or uniquely identified in Thais. When performing hierarchical clustering using CNV frequencies, the CNV data were clustered into Africans, Europeans, and Asians, in line with the clustering performed with single nucleotide polymorphism (SNP) data. As CNV data are specific to origin of population, our population-specific reference database will serve as a valuable addition to the existing resources for the investigation of clinical significance of CNVs in Thais and related ethnicities.
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Affiliation(s)
- Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Integrative Computation BioScience Center (ICBS), Mahidol University, Nakhon Prathom, Thailand
| | - Chaiwat Naktang
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, Thailand
| | - Wuttichai Mhuantong
- Enzyme Technology Laboratory, Bioresources Technology Unit, National Center for Genetic Engineering and Biotechnology (BIOTEC), Pathumthani, Thailand
| | - Thitima Tularak
- Faculty of Information and Communication Technology, Mahidol University, Nakhon Prathom, Thailand
| | - Paramita Artiwet
- Faculty of Information and Communication Technology, Mahidol University, Nakhon Prathom, Thailand
| | - Ekawat Pasomsap
- Division of Virology and Molecular microbiology, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Wallaya Jongjaroenprasert
- Endocrine and Metabolism Unit, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Suthat Fuchareon
- Thalassemia Research Center, Institute of Molecular Biosciences, Mahidol University, Salaya, Nakhon Prathom, Thailand
| | - Surakameth Mahasirimongkol
- Medical Genetics Section, National Institute of Health, Department of Medical Sciences, Ministry of Public Health, Nonthaburi, Thailand
| | - Wasan Chantratita
- Division of Virology and Molecular microbiology, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Boonsit Yimwadsana
- Faculty of Information and Communication Technology, Mahidol University, Nakhon Prathom, Thailand
- Integrative Computation BioScience Center (ICBS), Mahidol University, Nakhon Prathom, Thailand
| | - Varodom Charoensawan
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, Thailand
- Integrative Computation BioScience Center (ICBS), Mahidol University, Nakhon Prathom, Thailand
| | - Natini Jinawath
- Research Center, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
- Integrative Computation BioScience Center (ICBS), Mahidol University, Nakhon Prathom, Thailand
- * E-mail:
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Kim Y, Suktitipat B, Yanek LR, Faraday N, Wilson AF, Becker DM, Becker LC, Mathias RA. Targeted deep resequencing identifies coding variants in the PEAR1 gene that play a role in platelet aggregation. PLoS One 2013; 8:e64179. [PMID: 23704978 PMCID: PMC3660448 DOI: 10.1371/journal.pone.0064179] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2012] [Accepted: 04/08/2013] [Indexed: 01/30/2023] Open
Abstract
Platelet aggregation is heritable, and genome-wide association studies have detected strong associations with a common intronic variant of the platelet endothelial aggregation receptor1 (PEAR1) gene both in African American and European American individuals. In this study, we used a sequencing approach to identify additional exonic variants in PEAR1 that may also determine variability in platelet aggregation in the GeneSTAR Study. A 0.3 Mb targeted region on chromosome 1q23.1 including the entire PEAR1 gene was Sanger sequenced in 104 subjects (45% male, 49% African American, age = 52±13) selected on the basis of hyper- and hypo- aggregation across three different agonists (collagen, epinephrine, and adenosine diphosphate). Single-variant and multi-variant burden tests for association were performed. Of the 235 variants identified through sequencing, 61 were novel, and three of these were missense variants. More rare variants (MAF<5%) were noted in African Americans compared to European Americans (108 vs. 45). The common intronic GWAS-identified variant (rs12041331) demonstrated the most significant association signal in African Americans (p = 4.020×10(-4)); no association was seen for additional exonic variants in this group. In contrast, multi-variant burden tests indicated that exonic variants play a more significant role in European Americans (p = 0.0099 for the collective coding variants compared to p = 0.0565 for intronic variant rs12041331). Imputation of the individual exonic variants in the rest of the GeneSTAR European American cohort (N = 1,965) supports the results noted in the sequenced discovery sample: p = 3.56×10(-4), 2.27×10(-7), 5.20×10(-5) for coding synonymous variant rs56260937 and collagen, epinephrine and adenosine diphosphate induced platelet aggregation, respectively. Sequencing approaches confirm that a common intronic variant has the strongest association with platelet aggregation in African Americans, and show that exonic variants play an additional role in platelet aggregation in European Americans.
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Affiliation(s)
- Yoonhee Kim
- Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland, United States of America
- The GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Bhoom Suktitipat
- Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland, United States of America
- The GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Lisa R. Yanek
- The GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Nauder Faraday
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Alexander F. Wilson
- Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland, United States of America
| | - Diane M. Becker
- The GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Lewis C. Becker
- The GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Rasika A. Mathias
- The GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
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Suktitipat B, Mathias RA, Vaidya D, Yanek LR, Young JH, Becker LC, Becker DM, Wilson AF, Fallin MD. The robustness of generalized estimating equations for association tests in extended family data. Hum Hered 2012; 74:17-26. [PMID: 23038411 DOI: 10.1159/000341636] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2011] [Accepted: 07/04/2012] [Indexed: 01/15/2023] Open
Abstract
Variance components analysis (VCA), the traditional method for handling correlations within families in genetic association studies, is computationally intensive for genome-wide analyses, and the computational burden of VCA increases with family size and the number of genetic markers. Alternative approaches that do not require the computation of familial correlations are preferable, provided that they do not inflate type I error or decrease power. We performed a simulation study to evaluate practical alternatives to VCA that use regression with generalized estimating equations (GEE) in extended family data. We compared the properties of linear regression with GEE applied to an entire extended family structure (GEE-EXT) and GEE applied to nuclear family structures split from these extended families (GEE-SPL) to variance components likelihood-based methods (FastAssoc). GEE-EXT was evaluated with and without robust variance estimators to estimate the standard errors. We observed similar average type I error rates from GEE-EXT and FastAssoc compared to GEE-SPL. Type I error rates for the GEE-EXT method with a robust variance estimator were marginally higher than the nominal rate when the minor allele frequency (MAF) was <0.1, but were close to the nominal rate when the MAF was ≥0.2. All methods gave consistent effect estimates and had similar power. In summary, the GEE framework with the robust variance estimator, the computationally fastest and least data management-intensive approach, appears to work well in extended families and thus provides a reasonable alternative to full variance components approaches for extended pedigrees in a genome-wide association study setting.
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Affiliation(s)
- Bhoom Suktitipat
- Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD 21205, USA
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31
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N'Diaye A, Chen GK, Palmer CD, Ge B, Tayo B, Mathias RA, Ding J, Nalls MA, Adeyemo A, Adoue V, Ambrosone CB, Atwood L, Bandera EV, Becker LC, Berndt SI, Bernstein L, Blot WJ, Boerwinkle E, Britton A, Casey G, Chanock SJ, Demerath E, Deming SL, Diver WR, Fox C, Harris TB, Hernandez DG, Hu JJ, Ingles SA, John EM, Johnson C, Keating B, Kittles RA, Kolonel LN, Kritchevsky SB, Le Marchand L, Lohman K, Liu J, Millikan RC, Murphy A, Musani S, Neslund-Dudas C, North KE, Nyante S, Ogunniyi A, Ostrander EA, Papanicolaou G, Patel S, Pettaway CA, Press MF, Redline S, Rodriguez-Gil JL, Rotimi C, Rybicki BA, Salako B, Schreiner PJ, Signorello LB, Singleton AB, Stanford JL, Stram AH, Stram DO, Strom SS, Suktitipat B, Thun MJ, Witte JS, Yanek LR, Ziegler RG, Zheng W, Zhu X, Zmuda JM, Zonderman AB, Evans MK, Liu Y, Becker DM, Cooper RS, Pastinen T, Henderson BE, Hirschhorn JN, Lettre G, Haiman CA. Identification, replication, and fine-mapping of Loci associated with adult height in individuals of african ancestry. PLoS Genet 2011; 7:e1002298. [PMID: 21998595 PMCID: PMC3188544 DOI: 10.1371/journal.pgen.1002298] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2011] [Accepted: 07/26/2011] [Indexed: 11/19/2022] Open
Abstract
Adult height is a classic polygenic trait of high heritability (h2 ∼0.8). More than 180 single nucleotide polymorphisms (SNPs), identified mostly in populations of European descent, are associated with height. These variants convey modest effects and explain ∼10% of the variance in height. Discovery efforts in other populations, while limited, have revealed loci for height not previously implicated in individuals of European ancestry. Here, we performed a meta-analysis of genome-wide association (GWA) results for adult height in 20,427 individuals of African ancestry with replication in up to 16,436 African Americans. We found two novel height loci (Xp22-rs12393627, P = 3.4×10−12 and 2p14-rs4315565, P = 1.2×10−8). As a group, height associations discovered in European-ancestry samples replicate in individuals of African ancestry (P = 1.7×10−4 for overall replication). Fine-mapping of the European height loci in African-ancestry individuals showed an enrichment of SNPs that are associated with expression of nearby genes when compared to the index European height SNPs (P<0.01). Our results highlight the utility of genetic studies in non-European populations to understand the etiology of complex human diseases and traits. Adult height is an ideal phenotype to improve our understanding of the genetic architecture of complex diseases and traits: it is easily measured and usually available in large cohorts, relatively stable, and mostly influenced by genetics (narrow-sense heritability of height h2∼0.8). Genome-wide association (GWA) studies in individuals of European ancestry have identified >180 single nucleotide polymorphisms (SNPs) associated with height. In the current study, we continued to use height as a model polygenic trait and explored the genetic influence in populations of African ancestry through a meta-analysis of GWA height results from 20,809 individuals of African descent. We identified two novel height loci not previously found in Europeans. We also replicated the European height signals, suggesting that many of the genetic variants that are associated with height are shared between individuals of European and African descent. Finally, in fine-mapping the European height loci in African-ancestry individuals, we found SNPs more likely to be associated with the expression of nearby genes than the SNPs originally found in Europeans. Thus, our results support the utility of performing genetic studies in non-European populations to gain insights into complex human diseases and traits.
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Affiliation(s)
| | - Gary K. Chen
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Cameron D. Palmer
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States of America
- Divisions of Genetics and Endocrinology and Program in Genomics, Children's Hospital Boston, Boston, Massachusetts, United States of America
| | - Bing Ge
- Department of Human Genetics, McGill University and Genome Quebec Innovation Centre, Montreal, Canada
| | - Bamidele Tayo
- Department of Preventive Medicine and Epidemiology, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, United States of America
| | - Rasika A. Mathias
- Department of Medicine, The Johns Hopkins GeneSTAR Research Program, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Jingzhong Ding
- Sticht Center on Aging, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Michael A. Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Adebowale Adeyemo
- NIH Intramural Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Véronique Adoue
- Department of Human Genetics, McGill University and Genome Quebec Innovation Centre, Montreal, Canada
| | - Christine B. Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York, United States of America
| | - Larry Atwood
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Elisa V. Bandera
- The Cancer Institute of New Jersey, New Brunswick, New Jersey, United States of America
| | - Lewis C. Becker
- Department of Medicine, The Johns Hopkins GeneSTAR Research Program, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Leslie Bernstein
- Division of Cancer Etiology, Department of Population Science, Beckman Research Institute, City of Hope, Duarte, California, United States of America
| | - William J. Blot
- International Epidemiology Institute, Rockville, Maryland, United States of America
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University, Nashville, Tennessee, United States of America
- Vanderbilt–Ingram Cancer Center, Nashville, Tennessee, United States of America
| | - Eric Boerwinkle
- Human Genetics Center and Institute of Molecular Medicine and Division of Epidemiology, University of Texas Health Science Center, Houston, Texas, United States of America
| | - Angela Britton
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Graham Casey
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Ellen Demerath
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota, United States of America
| | - Sandra L. Deming
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University, Nashville, Tennessee, United States of America
- Vanderbilt–Ingram Cancer Center, Nashville, Tennessee, United States of America
| | - W. Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, United States of America
| | - Caroline Fox
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Tamara B. Harris
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Dena G. Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Jennifer J. Hu
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - Sue A. Ingles
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Esther M. John
- Cancer Prevention Institute of California, Fremont, California, United States of America
- School of Medicine and Stanford Cancer Center, Stanford University, Stanford, California, United States of America
| | - Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Brendan Keating
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
| | - Rick A. Kittles
- Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, United States of America
| | - Laurence N. Kolonel
- Epidemiology Program, Cancer Research Center, University of Hawaii, Honolulu, Hawaii, United States of America
| | - Stephen B. Kritchevsky
- Sticht Center on Aging, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Loic Le Marchand
- Epidemiology Program, Cancer Research Center, University of Hawaii, Honolulu, Hawaii, United States of America
| | - Kurt Lohman
- Sticht Center on Aging, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Jiankang Liu
- University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Robert C. Millikan
- Department of Epidemiology, Gillings School of Global Public Health and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Adam Murphy
- Department of Urology, Northwestern University, Chicago, Illinois, United States of America
| | - Solomon Musani
- Jackson Heart Study, Department of Medicine, Division of Cardiovascular Disease, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Christine Neslund-Dudas
- Department of Biostatistics and Research Epidemiology, Henry Ford Hospital, Detroit, Michigan, United States of America
| | - Kari E. North
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Sarah Nyante
- Department of Epidemiology, Gillings School of Global Public Health and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | | | - Elaine A. Ostrander
- Cancer Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - George Papanicolaou
- National Heart, Lung, and Blood Institute (NHLBI), Division of Cardiovascular Sciences, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Sanjay Patel
- Division of Sleep Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America
| | - Curtis A. Pettaway
- Department of Urology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas, United States of America
| | - Michael F. Press
- Department of Pathology, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Susan Redline
- Division of Sleep Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America
| | - Jorge L. Rodriguez-Gil
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - Charles Rotimi
- NIH Intramural Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Benjamin A. Rybicki
- Department of Biostatistics and Research Epidemiology, Henry Ford Hospital, Detroit, Michigan, United States of America
| | | | - Pamela J. Schreiner
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Lisa B. Signorello
- International Epidemiology Institute, Rockville, Maryland, United States of America
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University, Nashville, Tennessee, United States of America
- Vanderbilt–Ingram Cancer Center, Nashville, Tennessee, United States of America
| | - Andrew B. Singleton
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Janet L. Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Alex H. Stram
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Daniel O. Stram
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Sara S. Strom
- Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas, United States of America
| | - Bhoom Suktitipat
- Department of Medicine, The Johns Hopkins GeneSTAR Research Program, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Michael J. Thun
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, United States of America
| | - John S. Witte
- Institute for Human Genetics, Departments of Epidemiology and Biostatistics and Urology, University of California San Francisco, San Francisco, California, United States of America
| | - Lisa R. Yanek
- Department of Medicine, The Johns Hopkins GeneSTAR Research Program, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Regina G. Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University, Nashville, Tennessee, United States of America
- Vanderbilt–Ingram Cancer Center, Nashville, Tennessee, United States of America
| | - Xiaofeng Zhu
- Department of Biostatistics and Epidemiology, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Joseph M. Zmuda
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Alan B. Zonderman
- Laboratory of Personality and Cognition, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States of America
| | - Michele K. Evans
- Health Disparities Research Section, Clinical Research Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States of America
| | - Yongmei Liu
- Sticht Center on Aging, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Diane M. Becker
- Department of Medicine, The Johns Hopkins GeneSTAR Research Program, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Richard S. Cooper
- Department of Preventive Medicine and Epidemiology, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, United States of America
| | - Tomi Pastinen
- Department of Human Genetics, McGill University and Genome Quebec Innovation Centre, Montreal, Canada
| | - Brian E. Henderson
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Joel N. Hirschhorn
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States of America
- Divisions of Genetics and Endocrinology and Program in Genomics, Children's Hospital Boston, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
- * E-mail: (JN Hirschhorn); (G Lettre); (CA Haiman)
| | - Guillaume Lettre
- Montreal Heart Institute, Montréal, Canada
- Département de Médecine, Université de Montréal, Montréal, Canada
- * E-mail: (JN Hirschhorn); (G Lettre); (CA Haiman)
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
- * E-mail: (JN Hirschhorn); (G Lettre); (CA Haiman)
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Kaewsutthi S, Phasukkijwatana N, Joyjinda Y, Chuenkongkaew W, Kunhapan B, Tun AW, Suktitipat B, Lertrit P. Mitochondrial haplogroup background may influence Southeast Asian G11778A Leber hereditary optic neuropathy. Invest Ophthalmol Vis Sci 2011; 52:4742-8. [PMID: 21398275 DOI: 10.1167/iovs.10-5816] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
PURPOSE To investigate the role of mitochondrial DNA (mt DNA) background on the expression of Leber hereditary optic neuropathy (LHON) in Southeast Asian carriers of the G11778A mutation. METHODS Complete mtDNA sequences were analyzed from 53 unrelated Southeast Asian G11778A LHON pedigrees in Thailand and 105 normal Thai controls, and mtDNA haplogroups were determined. Clinical phenotypes were tested for association with mtDNA haplogroup, with adjustment for potential confounders such as sex and age at onset. RESULTS mtDNA subhaplogroup B was significantly associated with LHON. Follow-up analysis narrowed the association down to subhaplogroup B5a1 (P = 0.008). Survival analyses with Cox's proportional hazards modeling on 469 samples (91 affected and 378 unaffected), adjusted for sex and heteroplasmy, revealed that haplogroup B5a1 tended to increase the risk of visual loss, but the trend was not statistically significant. Conversely, haplogroup F, the second most common haplogroup in the control population, was the least frequent haplogroup in LHON. This negative association was narrowed down to subhaplogroup F1 (P = 0.00043), suggesting that haplogroup F1 confers a protective effect. The distributions of sex, age at onset and heteroplasmy were not significantly different among haplogroups. CONCLUSIONS The specific mtDNA background B5a1 was significantly associated with Southeast Asian G11778A LHON and appeared to modify the risk of visual loss.
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Mathias RA, Sergeant S, Ruczinski I, Torgerson DG, Hugenschmidt CE, Kubala M, Vaidya D, Suktitipat B, Ziegler JT, Ivester P, Case D, Yanek LR, Freedman BI, Rudock ME, Barnes KC, Langefeld CD, Becker LC, Bowden DW, Becker DM, Chilton FH. The impact of FADS genetic variants on ω6 polyunsaturated fatty acid metabolism in African Americans. BMC Genet 2011; 12:50. [PMID: 21599946 PMCID: PMC3118962 DOI: 10.1186/1471-2156-12-50] [Citation(s) in RCA: 95] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2010] [Accepted: 05/20/2011] [Indexed: 02/05/2023] Open
Abstract
Background Arachidonic acid (AA) is a long-chain omega-6 polyunsaturated fatty acid (PUFA) synthesized from the precursor dihomo-gamma-linolenic acid (DGLA) that plays a vital role in immunity and inflammation. Variants in the Fatty Acid Desaturase (FADS) family of genes on chromosome 11q have been shown to play a role in PUFA metabolism in populations of European and Asian ancestry; no work has been done in populations of African ancestry to date. Results In this study, we report that African Americans have significantly higher circulating levels of plasma AA (p = 1.35 × 10-48) and lower DGLA levels (p = 9.80 × 10-11) than European Americans. Tests for association in N = 329 individuals across 80 nucleotide polymorphisms (SNPs) in the Fatty Acid Desaturase (FADS) locus revealed significant association with AA, DGLA and the AA/DGLA ratio, a measure of enzymatic efficiency, in both racial groups (peak signal p = 2.85 × 10-16 in African Americans, 2.68 × 10-23 in European Americans). Ancestry-related differences were observed at an upstream marker previously associated with AA levels (rs174537), wherein, 79-82% of African Americans carry two copies of the G allele compared to only 42-45% of European Americans. Importantly, the allelic effect of the G allele, which is associated with enhanced conversion of DGLA to AA, on enzymatic efficiency was similar in both groups. Conclusions We conclude that the impact of FADS genetic variants on PUFA metabolism, specifically AA levels, is likely more pronounced in African Americans due to the larger proportion of individuals carrying the genotype associated with increased FADS1 enzymatic conversion of DGLA to AA.
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Affiliation(s)
- Rasika A Mathias
- Division of General Internal Medicine, Department of Medicine, The GeneSTAR Research Program, The Johns Hopkins University, Baltimore, MD 21224, USA.
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Kral BG, Mathias RA, Suktitipat B, Ruczinski I, Vaidya D, Yanek LR, Quyyumi AA, Patel RS, Zafari AM, Vaccarino V, Hauser ER, Kraus WE, Becker LC, Becker DM. A common variant in the CDKN2B gene on chromosome 9p21 protects against coronary artery disease in Americans of African ancestry. J Hum Genet 2011; 56:224-9. [PMID: 21270820 PMCID: PMC3079521 DOI: 10.1038/jhg.2010.171] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Background A 58kb region on chromosome 9p21.3 has consistently shown strong association with coronary artery disease (CAD) in multiple genome-wide association studies in populations of European and East Asian ancestry. In this study we sought to further characterize the role of genetic variants in 9p21.3 in African American individuals. Methods and Results Apparently healthy African American siblings (n=548) of patients with documented CAD <60 years of age were genotyped and followed for incident CAD for up to 17 years. Tests of association for 86 SNPs across the 9p21.3 region in a GEE logistic framework under an additive model adjusting for traditional risk factors, family, follow-up time, and population stratification were performed. A single SNP within the CDKN2B gene met stringent criteria for statistical significance, including permutation-based evaluations. This variant, rs3217989, was common (minor allele [G] frequency 0.242), conveyed protection against CAD (OR=0.19, 95% CI: 0.07 to 0.50, p=0.0008) and was replicated in a combined analysis of two additional case/control studies of prevalent CAD/MI in African Americans (n=990, p=0.024, OR= 0.779, 95% CI: 0.626-0.968). Conclusions This is the first report of a CAD association signal in a population of African ancestry with a common variant within the CDKN2B gene, independent from previous findings in European and East Asian ancestry populations. The findings demonstrate a significant protective effect against incident CAD in African American siblings of persons with premature CAD, with replication in a combination of two additional African American cohorts.
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Affiliation(s)
- Brian G Kral
- Department of Medicine, The Johns Hopkins GeneSTAR Research Program, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
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Assimes TL, Hólm H, Kathiresan S, Reilly MP, Thorleifsson G, Voight BF, Erdmann J, Willenborg C, Vaidya D, Xie C, Patterson CC, Morgan TM, Burnett MS, Li M, Hlatky MA, Knowles JW, Thompson JR, Absher D, Iribarren C, Go A, Fortmann SP, Sidney S, Risch N, Tang H, Myers RM, Berger K, Stoll M, Shah SH, Thorgeirsson G, Andersen K, Havulinna AS, Herrera JE, Faraday N, Kim Y, Kral BG, Mathias RA, Ruczinski I, Suktitipat B, Wilson AF, Yanek LR, Becker LC, Linsel-Nitschke P, Lieb W, König IR, Hengstenberg C, Fischer M, Stark K, Reinhard W, Winogradow J, Grassl M, Grosshennig A, Preuss M, Schreiber S, Wichmann HE, Meisinger C, Yee J, Friedlander Y, Do R, Meigs JB, Williams G, Nathan DM, MacRae CA, Qu L, Wilensky RL, Matthai WH, Qasim AN, Hakonarson H, Pichard AD, Kent KM, Satler L, Lindsay JM, Waksman R, Knouff CW, Waterworth DM, Walker MC, Mooser VE, Marrugat J, Lucas G, Subirana I, Sala J, Ramos R, Martinelli N, Olivieri O, Trabetti E, Malerba G, Pignatti PF, Guiducci C, Mirel D, Parkin M, Hirschhorn JN, Asselta R, Duga S, Musunuru K, Daly MJ, Purcell S, Eifert S, Braund PS, Wright BJ, Balmforth AJ, Ball SG, Ouwehand WH, Deloukas P, Scholz M, Cambien F, Huge A, Scheffold T, Salomaa V, Girelli D, Granger CB, Peltonen L, McKeown PP, Altshuler D, Melander O, Devaney JM, Epstein SE, Rader DJ, Elosua R, Engert JC, Anand SS, Hall AS, Ziegler A, O'Donnell CJ, Spertus JA, Siscovick D, Schwartz SM, Becker D, Thorsteinsdottir U, Stefansson K, Schunkert H, Samani NJ, Quertermous T. Lack of association between the Trp719Arg polymorphism in kinesin-like protein-6 and coronary artery disease in 19 case-control studies. J Am Coll Cardiol 2010; 56:1552-63. [PMID: 20933357 DOI: 10.1016/j.jacc.2010.06.022] [Citation(s) in RCA: 77] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2009] [Revised: 06/14/2010] [Accepted: 06/22/2010] [Indexed: 11/27/2022]
Abstract
OBJECTIVES We sought to replicate the association between the kinesin-like protein 6 (KIF6) Trp719Arg polymorphism (rs20455), and clinical coronary artery disease (CAD). BACKGROUND Recent prospective studies suggest that carriers of the 719Arg allele in KIF6 are at increased risk of clinical CAD compared with noncarriers. METHODS The KIF6 Trp719Arg polymorphism (rs20455) was genotyped in 19 case-control studies of nonfatal CAD either as part of a genome-wide association study or in a formal attempt to replicate the initial positive reports. RESULTS A total of 17,000 cases and 39,369 controls of European descent as well as a modest number of South Asians, African Americans, Hispanics, East Asians, and admixed cases and controls were successfully genotyped. None of the 19 studies demonstrated an increased risk of CAD in carriers of the 719Arg allele compared with noncarriers. Regression analyses and fixed-effects meta-analyses ruled out with high degree of confidence an increase of ≥2% in the risk of CAD among European 719Arg carriers. We also observed no increase in the risk of CAD among 719Arg carriers in the subset of Europeans with early-onset disease (younger than 50 years of age for men and younger than 60 years of age for women) compared with similarly aged controls as well as all non-European subgroups. CONCLUSIONS The KIF6 Trp719Arg polymorphism was not associated with the risk of clinical CAD in this large replication study.
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Affiliation(s)
- Themistocles L Assimes
- Department of Medicine, Stanford University School of Medicine, Stanford, California 94304-1334, USA.
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Sun H, Swaim A, Herrera JE, Becker D, Becker L, Srivastava K, Thompson LE, Shero MR, Perez-Tamayo A, Suktitipat B, Mathias R, Contractor A, Faraday N, Morrell CN. Platelet kainate receptor signaling promotes thrombosis by stimulating cyclooxygenase activation. Circ Res 2009; 105:595-603. [PMID: 19679838 PMCID: PMC2771168 DOI: 10.1161/circresaha.109.198861] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
RATIONALE Glutamate is a major signaling molecule that binds to glutamate receptors including the ionotropic glutamate receptors; kainate (KA) receptor (KAR), the N-methyl-d-aspartate receptor, and the alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor. Each is well characterized in the central nervous system, but glutamate has important signaling roles in peripheral tissues as well, including a role in regulating platelet function. OBJECTIVE Our previous work has demonstrated that glutamate is released by platelets in high concentrations within a developing thrombus and increases platelet activation and thrombosis. We now show that platelets express a functional KAR that drives increased agonist induced platelet activation. METHODS AND RESULTS KAR induced increase in platelet activation is in part the result of activation of platelet cyclooxygenase in a mitogen-activated protein kinase-dependent manner. Platelets derived from KAR subunit knockout mice (GluR6(-/-)) are resistant to KA effects and have a prolonged time to thrombosis in vivo. Importantly, we have also identified polymorphisms in KAR subunits that are associated with phenotypic changes in platelet function in a large group of whites and blacks. CONCLUSIONS Our data demonstrate that glutamate regulation of platelet activation is in part cyclooxygenase-dependent and suggest that the KAR is a novel antithrombotic target.
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Affiliation(s)
- Henry Sun
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Klein AP, Suktitipat B, Duggal P, Lee KE, Klein R, Bailey-Wilson JE, Klein BEK. Heritability analysis of spherical equivalent, axial length, corneal curvature, and anterior chamber depth in the Beaver Dam Eye Study. ACTA ACUST UNITED AC 2009; 127:649-55. [PMID: 19433716 DOI: 10.1001/archophthalmol.2009.61] [Citation(s) in RCA: 73] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
OBJECTIVE To examine genetic influences for quantitative refraction. Spherical equivalent and its related binary traits of myopia and hyperopia are highly correlated within families. Many linkage regions have been reported for myopia, high myopia, and quantitative refraction. However, the measured phenotype of spherical equivalent is in large part dictated by the relationship between the underlying optical components of axial length, corneal curvature, and anterior chamber depth. METHODS Using data from the fourth visit of the Beaver Dam Eye Study, we conducted familial correlation and heritability analysis of quantitative spherical equivalent, axial length, anterior chamber depth, and corneal curvature using data from 715 individuals in 189 pedigrees. RESULTS Overall, every trait was highly heritable. Heritability estimates were 0.58 (SE 0.13) for spherical equivalent after adjustment for age, education, and nuclear sclerosis; 0.95 (SE 0.11) for corneal curvature after adjustment for height; 0.67 (SE 0.14) for axial length after adjustment for height and education; and 0.78 (SE 0.14) for anterior chamber depth after adjustment for age, education, height, and nuclear sclerosis. CONCLUSION Refraction and the underlying traits of axial length, corneal curvature, and anterior chamber depth are highly heritable. Genetic analysis of these traits may provide greater insight into the development of refractive errors.
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Affiliation(s)
- Alison P Klein
- Sidney Kimmel Comprehensive Cancer Center, School of Medicine, Johns Hopkins University, Baltimore, MD 21231, USA.
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Lertrit P, Poolsuwan S, Thosarat R, Sanpachudayan T, Boonyarit H, Chinpaisal C, Suktitipat B. Genetic history of Southeast Asian populations as revealed by ancient and modern human mitochondrial DNA analysis. Am J Phys Anthropol 2009; 137:425-40. [PMID: 18615504 DOI: 10.1002/ajpa.20884] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The 360 base-pair fragment in HVS-1 of the mitochondrial genome were determined from ancient human remains excavated at Noen U-loke and Ban Lum-Khao, two Bronze and Iron Age archaeological sites in Northeastern Thailand, radio-carbon dated to circa 3,500-1,500 years BP and 3,200-2,400 years BP, respectively. These two neighboring populations were parts of early agricultural communities prevailing in northeastern Thailand from the fourth millennium BP onwards. The nucleotide sequences of these ancient samples were compared with the sequences of modern samples from various ethnic populations of East and Southeast Asia, encompassing four major linguistic affiliations (Altaic, Sino-Tibetan, Tai-Kadai, and Austroasiatic), to investigate the genetic relationships and history among them. The two ancient samples were most closely related to each other, and next most closely related to the Chao-Bon, an Austroasiatic-speaking group living near the archaeological sites, suggesting that the genetic continuum may have persisted since prehistoric times in situ among the native, perhaps Austroasiatic-speaking population. Tai-Kadai groups formed close affinities among themselves, with a tendency to be more closely related to other Southeast Asian populations than to populations from further north. The Tai-Kadai groups were relatively distant from all groups that have presumably been in Southeast Asia for longer-that is, the two ancient groups and the Austroasiatic-speaking groups, with the exception of the Khmer group. This finding is compatible with the known history of the Thais: their late arrival in Southeast Asia from southern China after the 10th-11th century AD, followed by a period of subjugation under the Khmers.
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Affiliation(s)
- Patcharee Lertrit
- Department of Biochemistry, Faculty of Medicine, Mahidol University, Bangkok 10700, Thailand.
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Chen GK, Zheng T, Witte JS, Goode EL, Gao L, Hu P, Suh YJ, Suktitipat B, Szymczak S, Woo JH, Zhang W. Genome-wide association analyses of expression phenotypes. Genet Epidemiol 2007; 31 Suppl 1:S7-S11. [PMID: 18046762 DOI: 10.1002/gepi.20275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
A number of issues arise when analyzing the large amount of data from high-throughput genotype and expression microarray experiments, including design and interpretation of genome-wide association studies of expression phenotypes. These issues were considered by contributions submitted to Group 1 of the Genetic Analysis Workshop 15 (GAW15), which focused on the association of quantitative expression data. These contributions evaluated diverse hypotheses, including those relevant to cancer and obesity research, and used various analytic techniques, many of which were derived from information theory. Several observations from these reports stand out. First, one needs to consider the genetic model of the trait of interest and carefully select which single nucleotide polymorphisms and individuals are included early in the design stage of a study. Second, by targeting specific pathways when analyzing genome-wide data, one can generate more interpretable results than agnostic approaches. Finally, for datasets with small sample sizes but a large number of features like the Genetic Analysis Workshop 15 dataset, machine learning approaches may be more practical than traditional parametric approaches.
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Affiliation(s)
- Gary K Chen
- Department of Epidemiology and Biostatistics, Institute for Human Genetics, University of California at San Francisco, 513 Parnassus Avenue, San Francisco, CA 94143, USA
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Tharaphan P, Chuenkongkaew WL, Luangtrakool K, Sanpachudayan T, Suktitipat B, Suphavilai R, Srisawat C, Sura T, Lertrit P. Mitochondrial DNA Haplogroup Distribution in Pedigrees of Southeast Asian G11778A Leber Hereditary Optic Neuropathy. J Neuroophthalmol 2006; 26:264-7. [PMID: 17204919 DOI: 10.1097/01.wno.0000249318.88991.c4] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
To investigate the association of mitochondrial DNA (mtDNA) haplogroups and Leber hereditary optic neuropathy (LHON) in the Southeast Asian population, mtDNA haplogroup determination was performed by high-resolution restriction fragment length polymorphism in 42 patients with LHON who were carrying the G11778A mutation and in control subjects drawn from a Thai urban population unaffected by LHON. The patients with LHON were of Thai, Thai-Chinese, and Indian origin. Three mtDNA haplogroups, M, B*, and B, were found in LHON patients in a frequency similar to that in control subjects. mtDNA haplogroup F was found in none of the patients with LHON but was the second most common haplogroup in control subjects. The G11778A mutation must have arisen in our population independently from the mutation in Caucasians. In contrast to Caucasians, no specific mtDNA haplotype was associated with the patients with LHON in the Southeast Asian population. The mitochondrial polymorphisms that modify the expression of LHON in Southeast Asians could not be identified in this study. The lack of haplogroup F in our patients with LHON may indicate the protective effect of this haplogroup in the expression of this disorder.
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Affiliation(s)
- Pattamon Tharaphan
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkoknoi, Bangkok, Thailand
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Phasukkijwatana N, Chuenkongkaew WL, Suphavilai R, Suktitipat B, Pingsuthiwong S, Ruangvaravate N, Atchaneeyasakul LO, Warrasak S, Poonyathalang A, Sura T, Lertrit P. The unique characteristics of Thai Leber hereditary optic neuropathy: analysis of 30 G11778A pedigrees. J Hum Genet 2006; 51:298-304. [PMID: 16477364 DOI: 10.1007/s10038-006-0361-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2005] [Accepted: 12/13/2005] [Indexed: 01/30/2023]
Abstract
Leber hereditary optic neuropathy (LHON) is characterized by acute or subacute bilateral visual loss, and affects mostly young males. The most common mitochondrial DNA mutation responsible for LHON worldwide is G11778A. Despite different genetic backgrounds, which are believed to influence the disease expression, most features of LHON are quite common in different populations. However, there seem to be a few ethnic-specific differences. Analyses of our 30 G11778A LHON pedigrees in Thailand showed some characteristics different from those of Caucasians and Japanese. In particular, our pedigrees showed a lower male to female ratio of affected persons (2.6:1) and much higher prevalence of G11778A blood heteroplasmy (37% of the pedigrees contained at least one heteroplasmic G11778A individual). Heteroplasmicity seemed to influence disease manifestation in our patients but did not appear to alter the onset of the disease. The estimated overall penetrance of our G11778A LHON population was 37% for males and 13% for females. When each of our large pedigrees were considered separately, disease penetration varied from 9 to 45% between the pedigrees, and also varied between different branches of the same large pedigree. Survival analysis showed that the secondary LHON mutations G3316A and C3497T had a synergistic deleterious effect with the G11778A mutation, accelerating the onset of the disease in our patients.
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Affiliation(s)
- Nopasak Phasukkijwatana
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Wanicha L Chuenkongkaew
- Department of Ophthalmology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Siriraj Neurogenetics Network, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Rungnapa Suphavilai
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Sarinee Pingsuthiwong
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Ngamkae Ruangvaravate
- Department of Ophthalmology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - La-Ongsri Atchaneeyasakul
- Department of Ophthalmology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Sukhuma Warrasak
- Department of Ophthalmology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand
| | - Anuchit Poonyathalang
- Department of Ophthalmology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand
| | - Thanyachai Sura
- Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand
| | - Patcharee Lertrit
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.
- Siriraj Neurogenetics Network, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.
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Chuenkongkaew WL, Suphavilai R, Vaeusorn L, Phasukkijwatana N, Lertrit P, Suktitipat B. Proportion of 11778 mutant mitochondrial DNA and clinical expression in a thai population with leber hereditary optic neuropathy. J Neuroophthalmol 2005; 25:173-5. [PMID: 16148621 DOI: 10.1097/01.wno.0000176631.87234.49] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND The proportion of mutant mtDNA in blood has been found to correlate with the frequency of visual loss in cases with mtDNA mutations associated with Leber hereditary optic neuropathy (LHON), especially in men. We sought to determine this correlation in a Thai population of LHON. METHODS Densitometric quantification of blood mtDNA with the 11,778 LHON mutation in 137 symptomatic cases and their asymptomatic maternal relatives in 30 Asian pedigree families was performed. Asymptomatic maternal relatives under the age of 16 years were excluded. The visual outcome in symptomatic cases with homoplasmy and heteroplasmy was compared. RESULTS Heteroplasmy was detected in eight (12.9%) symptomatic and 30 (40%) asymptomatic individuals. The quantification of blood mutant mtDNA in the eight symptomatic cases ranged from 44% to 93% (mean=75%). The visual outcome of the cases with heteroplasmy was not different from that of cases with homoplasmy. There was a correlation between the proportion of mutant mtDNA and the likelihood of visual loss. CONCLUSIONS The prevalence of heteroplasmy among pedigrees of the 11,778 LHON mutation in Thailand was similar to that of other Asian populations and may be greater than in 11,778 LHON pedigrees from white backgrounds. The proportion of mutated mtDNA correlated with visual loss, but the effect of heteroplasmy on clinical expression seemed not to relate to gender.
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Affiliation(s)
- Wanicha L Chuenkongkaew
- Department of Ophthalmology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
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