1
|
Zheng C, Sarin KY. Unveiling the genetic landscape of hereditary melanoma: From susceptibility to surveillance. Cancer Treat Res Commun 2024; 40:100837. [PMID: 39137473 DOI: 10.1016/j.ctarc.2024.100837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 07/30/2024] [Accepted: 08/02/2024] [Indexed: 08/15/2024]
Abstract
The multifactorial etiology underlying melanoma development involves an array of genetic, phenotypic, and environmental factors. Genetic predisposition for melanoma is further influenced by the complex interplay between high-, medium-, and low-penetrance genes, each contributing to varying degrees of susceptibility. Within this network, high-penetrance genes, including CDKN2A, CDK4, BAP1, and POT1, are linked to a pronounced risk for disease, whereas medium- and low-penetrance genes, such as MC1R, MITF, and others, contribute only moderately to melanoma risk. Notably, these genetic factors not only heighten the risk of melanoma but may also increase susceptibility towards internal malignancies, such as pancreatic cancer, renal cell cancer, or neural tumors. Genetic testing and counseling hold paramount importance in the clinical context of suspected hereditary melanoma, facilitating risk assessment, personalized surveillance strategies, and informed decision-making. As our understanding of the genomic landscape deepens, this review paper aims to comprehensively summarize the genetic underpinnings of hereditary melanoma, as well as current screening and management strategies for the disease.
Collapse
Affiliation(s)
- Chenming Zheng
- Stanford University Department of Dermatology, Redwood City, CA, USA
| | - Kavita Y Sarin
- Stanford University Department of Dermatology, Redwood City, CA, USA.
| |
Collapse
|
2
|
Assessing temporal and geographic contacts across the Adriatic Sea through the analysis of genome-wide data from Southern Italy. Genomics 2022; 114:110405. [PMID: 35709925 DOI: 10.1016/j.ygeno.2022.110405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 06/01/2022] [Accepted: 06/09/2022] [Indexed: 11/22/2022]
Abstract
Southern Italy was characterised by a complex prehistory that started with different Palaeolithic cultures, later followed by the Neolithization and the demic dispersal from the Pontic-Caspian Steppe during the Bronze Age. Archaeological and historical evidences point to a link between Southern Italians and the Balkans still present in modern times. To shed light on these dynamics, we analysed around 700 South Mediterranean genomes combined with informative ancient DNAs. Our findings revealed high affinities of South-Eastern Italians with modern Eastern Peloponnesians, and a closer affinity of ancient Greek genomes with those from specific regions of South Italy than modern Greek genomes. The higher similarity could be associated with a Bronze Age component ultimately originating from the Caucasus with high Iranian and Anatolian Neolithic ancestries. Furthermore, extremely differentiated allele frequencies among Northern and Southern Italy revealed putatively adapted SNPs in genes involved in alcohol metabolism, nevi features and immunological traits.
Collapse
|
3
|
Pflugfelder A, Yong XLH, Jagirdar K, Eigentler TK, Soyer HP, Sturm RA, Flatz L, Duffy DL. Genome-Wide Association Study Suggests the Variant rs7551288*A within the DHCR24 Gene Is Associated with Poor Overall Survival in Melanoma Patients. Cancers (Basel) 2022; 14:cancers14102410. [PMID: 35626014 PMCID: PMC9139953 DOI: 10.3390/cancers14102410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/27/2022] [Accepted: 05/10/2022] [Indexed: 12/04/2022] Open
Abstract
Simple Summary The aim of this work was to investigate prognostic genetic factors in melanoma patients. Phenotypic and disease data as well as biomaterial were collected after informed consent from patients followed up in a Skin Cancer Center of a University clinic. Genome-wide analysis (GWAS) was performed with survival data of 556 melanoma patients and genetic data including more than 300,000 common polymorphisms. The SNP rs7551288 reached suggestive genome-wide significance (p = 2 × 10−6). This intronic variant of the DHCR24 gene is involved in the cholesterol synthesis pathway. Further analyses and a literature review suggest an important role of this locus for the clinical course of disease in melanoma patients. Abstract Melanoma incidence rates are high among individuals with fair skin and multiple naevi. Established prognostic factors are tumour specific, and less is known about prognostic host factors. A total of 556 stage I to stage IV melanoma patients from Germany with phenotypic and disease-specific data were analysed; 64 of these patients died of melanoma after a median follow-up time of 8 years. Germline DNA was assessed by the HumanCoreExome BeadChip and data of 356,384 common polymorphisms distributed over all 23 chromosomes were used for a genome-wide analysis. A suggestive genome-wide significant association of the intronic allele rs7551288*A with diminished melanoma-specific survival was detected (p = 2 × 10−6). The frequency of rs7551288*A was 0.43 and was not associated with melanoma risk, hair and eye colour, tanning and total naevus count. Cox regression multivariate analyses revealed a 5.31-fold increased risk of melanoma-specific death for patients with the rs7551288 A/A genotype, independent of tumour thickness, ulceration and stage of disease at diagnoses. The variant rs7551288 belongs to the DHCR24 gene, which encodes Seladin-1, an enzyme involved in the biosynthesis of cholesterol. Further investigations are needed to confirm this genetic variant as a novel prognostic biomarker and to explore whether specific treatment strategies for melanoma patients might be derived from it.
Collapse
Affiliation(s)
- Annette Pflugfelder
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, QLD 4102, Australia; (X.L.H.Y.); (K.J.); (H.P.S.); (R.A.S.); (D.L.D.)
- Center of Dermatooncology, Department of Dermatology, University of Tübingen, 72076 Tübingen, Germany;
- Correspondence:
| | - Xuan Ling Hilary Yong
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, QLD 4102, Australia; (X.L.H.Y.); (K.J.); (H.P.S.); (R.A.S.); (D.L.D.)
- Clem Jones Centre for Ageing Dementia Research, The University of Queensland, Brisbane, QLD 4072, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Kasturee Jagirdar
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, QLD 4102, Australia; (X.L.H.Y.); (K.J.); (H.P.S.); (R.A.S.); (D.L.D.)
- Biochemistry and Molecular Biology Department, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Thomas K. Eigentler
- Department of Dermatology, Venereology and Allergology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10177 Berlin, Germany;
| | - H. Peter Soyer
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, QLD 4102, Australia; (X.L.H.Y.); (K.J.); (H.P.S.); (R.A.S.); (D.L.D.)
- Department of Dermatology, Princess Alexandra Hospital, Brisbane, QLD 4102, Australia
| | - Richard A. Sturm
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, QLD 4102, Australia; (X.L.H.Y.); (K.J.); (H.P.S.); (R.A.S.); (D.L.D.)
| | - Lukas Flatz
- Center of Dermatooncology, Department of Dermatology, University of Tübingen, 72076 Tübingen, Germany;
| | - David L. Duffy
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, QLD 4102, Australia; (X.L.H.Y.); (K.J.); (H.P.S.); (R.A.S.); (D.L.D.)
- Genetic Epidemiology, QIMR Berghofer Institute of Medical Research, Herston, QLD 4006, Australia
| |
Collapse
|
4
|
de Mello LEB, Carneiro TNR, Araujo AN, Alves CX, Galante PAF, Buzatto VC, das Graças de Almeida M, Vermeulen-Serpa KM, de Lima Vale SH, José de Pinto Paiva F, Brandão-Neto J, Cerutti JM. Identification of NID1 as a novel candidate susceptibility gene for familial non-medullary thyroid carcinoma using whole-exome sequencing. Endocr Connect 2022; 11:EC-21-0406.R2. [PMID: 34941562 PMCID: PMC8859953 DOI: 10.1530/ec-21-0406] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 12/22/2021] [Indexed: 11/15/2022]
Abstract
The genetics underlying non-syndromic familial non-medullary thyroid carcinoma (FNMTC) is still poorly understood. To identify susceptibility genes for FNMTC, we performed whole-exome sequencing (WES) in a Brazilian family affected by papillary thyroid carcinoma (PTC) in three consecutive generations. WES was performed in four affected and two unaffected family members. Manual inspection in over 100 previously reported susceptibility genes for FNMTC showed that no variants in known genes co-segregated with disease phenotype in this family. Novel candidate genes were investigated using PhenoDB and filtered using Genome Aggregation (gnomAD) and Online Archive of Brazilian Mutations (ABraOM) population databases. The missense variant p.Ile657Met in the NID1 gene was the only variant that co-segregated with the disease, while absent in unaffected family members and controls. The allele frequency for this variant was <0.0001 in the gnomAD and ABbraOM databases. In silico analysis predicted the variant to be deleterious or likely damaging to the protein function. Somatic mutations in NID1 gene were found in nearly 500 cases of different cancer subtypes in the intOGen platform. Immunohistochemistry analysis showed NID1 expression in PTC cells, while it was absent in normal thyroid tissue. Our findings were corroborated using data from the TCGA cohort. Moreover, higher expression of NID1 was associated with higher likelihood of relapse after treatment and N1b disease in PTCs from the TCGA cohort. Although replication studies are needed to better understand the role of this variant in the FNMTC susceptibility, the NID1 variant (c.1971T>G) identified in this study fulfills several criteria that suggest it as a new FNMTC predisposing gene.
Collapse
Affiliation(s)
- Luis Eduardo Barbalho de Mello
- Genetic Bases of Thyroid Tumors Laboratory, Division of Genetics, Department of Morphology and Genetics, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
- Postgraduate Program in Health Sciences, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Thaise Nayane Ribeiro Carneiro
- Genetic Bases of Thyroid Tumors Laboratory, Division of Genetics, Department of Morphology and Genetics, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Aline Neves Araujo
- Genetic Bases of Thyroid Tumors Laboratory, Division of Genetics, Department of Morphology and Genetics, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Camila Xavier Alves
- Postgraduate Program in Health Sciences, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | | | | | - Maria das Graças de Almeida
- Postgraduate Program in Health Sciences, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
- Department of Clinical and Toxicological Analyses, Natal, Rio Grande do Norte, Brazil
| | - Karina Marques Vermeulen-Serpa
- Postgraduate Program in Health Sciences, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Sancha Helena de Lima Vale
- Department of Clinical and Toxicological Analyses, Natal, Rio Grande do Norte, Brazil
- Department of Nutrition, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Fernando José de Pinto Paiva
- Postgraduate Program in Health Sciences, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - José Brandão-Neto
- Postgraduate Program in Health Sciences, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Janete Maria Cerutti
- Genetic Bases of Thyroid Tumors Laboratory, Division of Genetics, Department of Morphology and Genetics, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
- Correspondence should be addressed to J M Cerutti:
| |
Collapse
|
5
|
Association of Melanoma-Risk Variants with Primary Melanoma Tumor Prognostic Characteristics and Melanoma-Specific Survival in the GEM Study. Curr Oncol 2021; 28:4756-4771. [PMID: 34898573 PMCID: PMC8628692 DOI: 10.3390/curroncol28060401] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 10/11/2021] [Accepted: 11/10/2021] [Indexed: 12/15/2022] Open
Abstract
Genome-wide association studies (GWAS) and candidate pathway studies have identified low-penetrant genetic variants associated with cutaneous melanoma. We investigated the association of melanoma-risk variants with primary melanoma tumor prognostic characteristics and melanoma-specific survival. The Genes, Environment, and Melanoma Study enrolled 3285 European origin participants with incident invasive primary melanoma. For each of 47 melanoma-risk single nucleotide polymorphisms (SNPs), we used linear and logistic regression modeling to estimate, respectively, the per allele mean changes in log of Breslow thickness and odds ratios for presence of ulceration, mitoses, and tumor-infiltrating lymphocytes (TILs). We also used Cox proportional hazards regression modeling to estimate the per allele hazard ratios for melanoma-specific survival. Passing the false discovery threshold (p = 0.0026) were associations of IRF4 rs12203592 and CCND1 rs1485993 with log of Breslow thickness, and association of TERT rs2242652 with presence of mitoses. IRF4 rs12203592 also had nominal associations (p < 0.05) with presence of mitoses and melanoma-specific survival, as well as a borderline association (p = 0.07) with ulceration. CCND1 rs1485993 also had a borderline association with presence of mitoses (p = 0.06). MX2 rs45430 had nominal associations with log of Breslow thickness, presence of mitoses, and melanoma-specific survival. Our study indicates that further research investigating the associations of these genetic variants with underlying biologic pathways related to tumor progression is warranted.
Collapse
|
6
|
Urooj T, Wasim B, Mushtaq S, Haider G, Shah SNN, Ghani R, Qureshi MFH. Increased NID1 Expression among Breast Cancer Lung Metastatic Women; A Comparative Analysis between Naive and Treated Cases. Recent Pat Anticancer Drug Discov 2021; 15:59-69. [PMID: 32116201 DOI: 10.2174/1574892815666200302115438] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Revised: 02/25/2020] [Accepted: 02/28/2020] [Indexed: 01/02/2023]
Abstract
BACKGROUND Lungs are the second most common reported site of distant metastasis in Breast cancer after bone. Mostly the studies were conducted in cell lines and animal model. To date, there is no blood biomarker reported that could determine the breast cancer progression in terms of lung metastasis. OBJECTIVE The aim of this study is to determine Nidogen-1 (NID1)'s mRNA and protein expressions in non-invasive blood samples of breast cancer, in early (II) and lung metastasis advanced stages (III & IV) of naive and treated groups. To determine the functional association of NID1, we employed an in silico analysis, STRING database version 11. METHODS A total of n = 175 cases of breast cancer were recruited in our study. Real time quantitative PCR and ELISA were performed to analyze the mRNA and protein expressions of NID1 respectively. An in silico method is also used to assess NID1's interactome. Some significant patents related to this topic were also studied and discussed in this research paper. RESULTS The results show high levels of NID1's mRNA in the naive group (Group A) as compared to treated group (Group B). Similar trend of increased NID1's protein expressions was also observed among naive and treated groups, respectively. Our results also show the significant impact of treatment on NID1's gene and protein expressions. In silico analysis has revealed the functional association of NID1 with its different interactome protein partners. CONCLUSION The increased expression of NID1 in early to advanced naive as compared to the treated groups with lung metastasis makes it a promising marker which has pro-metastatic role in breast cancer.
Collapse
Affiliation(s)
- Tabinda Urooj
- Anatomy Department, Ziauddin University, Clifton, Karachi 74700, Sindh, Pakistan
| | - Bushra Wasim
- Anatomy Department, Ziauddin University, Clifton, Karachi 74700, Sindh, Pakistan
| | - Shamim Mushtaq
- Biochemistry Department, Ziauddin University, Clifton, Karachi 74700, Sindh, Pakistan
| | - Ghulam Haider
- Oncology Department, Jinnah Postgraduate Medical Center, Karachi 75510, Pakistan
| | - Syed N N Shah
- Anatomy Department, Ziauddin University, Clifton, Karachi 74700, Sindh, Pakistan
| | - Rubina Ghani
- Biochemistry Department, Jinnah Medical and Dental College, Karachi 74800, Pakistan
| | - Muhammad F H Qureshi
- Biochemistry Department, Ziauddin University, Clifton, Karachi 74700, Sindh, Pakistan
| |
Collapse
|
7
|
Li X, Wu W, Giovannucci E, Stampfer MJ, Gao X, Han J. Cutaneous nevi and internal cancer risk: Results from two large prospective cohorts of US women. Int J Cancer 2020; 147:14-20. [PMID: 31593602 DOI: 10.1002/ijc.32703] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Revised: 09/08/2019] [Accepted: 09/11/2019] [Indexed: 12/29/2022]
Abstract
Elevated cutaneous nevus number has been linked to longer telomeres. Recently, a large systematic Mendelian randomization study identified a significant positive association between telomere length and risk of cancer. Here, we hypothesized that higher nevus count, as a phenotypic marker of longer telomere, may be associated with increased risk of internal cancer, and prospectively examined the association between nevus count and total as well as site-specific cancer risk among participants in the Nurses' Health Study (NHS, 1986-2012) and the Nurses' Health Study 2 (NHS2, 1989-2013) using Cox proportional hazards models. During 3,900,264 person-years of follow-up, we documented a total of 23,004 internal cancer cases (15,484 in the NHS and 7,520 in the NHS2). Compared to participants who had no nevi, the multivariate hazard ratios of total cancer (excluding skin cancer) were 1.06 (95% confidence interval [CI], 1.03-1.09) for women with 1-5 nevi, 1.08 (95% CI, 1.03-1.15) for those who had 6-14 nevi and 1.19 (95% CI, 1.05-1.35) for those with 15 or more nevi (p trend <0.0001). Moreover, because nevus count has been associated with risk of breast cancer previously, we conducted a secondary analysis by excluding breast cancer from the outcomes of interest. The results were very similar to those of our primary analysis. For individual cancer, most of the associations with nevus count were positive but not statistically significant. In conclusion, we identified the number of cutaneous nevi as a phenotypic marker associated with internal cancer risk, which may be explained by telomere biology.
Collapse
Affiliation(s)
- Xin Li
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN.,Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN
| | - Wenting Wu
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Edward Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Meir J Stampfer
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Xiang Gao
- Department of Nutritional Sciences, College of Health and Human Development, Pennsylvania State University, State College, PA
| | - Jiali Han
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN.,Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN
| |
Collapse
|
8
|
Inherited Melanoma Risk Variants Associated with Histopathologically Amelanotic Melanoma. J Invest Dermatol 2019; 140:918-922.e7. [PMID: 31568773 DOI: 10.1016/j.jid.2019.09.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 09/05/2019] [Accepted: 09/09/2019] [Indexed: 01/26/2023]
|
9
|
Ferraro DA, Patella F, Zanivan S, Donato C, Aceto N, Giannotta M, Dejana E, Diepenbruck M, Christofori G, Buess M. Endothelial cell-derived nidogen-1 inhibits migration of SK-BR-3 breast cancer cells. BMC Cancer 2019; 19:312. [PMID: 30947697 PMCID: PMC6449935 DOI: 10.1186/s12885-019-5521-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2018] [Accepted: 03/25/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The tumour microenvironment is a critical regulator of malignant cancer progression. While endothelial cells have been widely studied in the context of tumour angiogenesis, their role as modulators of cancer cell invasion and migration is poorly understood. METHODS We have investigated the influence of endothelial cells on the invasive and migratory behaviour of human cancer cells in vitro. RESULTS Upon exposure to culture supernatants of endothelial cells, distinct cancer cells, such as SK-BR-3 cells, showed significantly increased invasion and cell migration concomitant with changes in cell morphology and gene expression reminiscent of an epithelial-mesenchymal transition (EMT). Interestingly, the pro-migratory effect on SK-BR-3 cells was significantly enhanced by supernatants obtained from subconfluent, proliferative endothelial cells rather than from confluent, quiescent endothelial cells. Systematically comparing the supernatants of subconfluent and confluent endothelial cells by quantitative MS proteomics revealed eight candidate proteins that were secreted at significantly higher levels by confluent endothelial cells representing potential inhibitors of cancer cell migration. Among these proteins, nidogen-1 was exclusively expressed in confluent endothelial cells and was found to be necessary and sufficient for the inhibition of SK-BR-3 cell migration. Indeed, SK-BR-3 cells exposed to nidogen-1-depleted endothelial supernatants showed increased promigratory STAT3 phosphorylation along with increased cell migration. This reflects the situation of enhanced SK-BR-3 migration upon stimulation with conditioned medium from subconfluent endothelial cells with inherent absence of nidogen-1 expression. CONCLUSION The identification of nidogen-1 as an endothelial-derived inhibitor of migration of distinct cancer cell types reveals a novel mechanism of endothelial control over cancer progression.
Collapse
Affiliation(s)
- Daniela A. Ferraro
- Tumor Biology, Department of Biomedicine, University of Basel, 4058 Basel, Switzerland
| | - Francesca Patella
- Tumour Microenvironment and Proteomics, Cancer Research UK Beatson Institute, Glasgow, G611BD UK
| | - Sara Zanivan
- Tumour Microenvironment and Proteomics, Cancer Research UK Beatson Institute, Glasgow, G611BD UK
| | - Cinzia Donato
- Cancer Metastasis, Department of Biomedicine, University of Basel, 4058 Basel, Switzerland
| | - Nicola Aceto
- Cancer Metastasis, Department of Biomedicine, University of Basel, 4058 Basel, Switzerland
| | - Monica Giannotta
- Vascular Biology Unit, FIRC Institute of Molecular Oncology, 20139 Milan, Italy
| | - Elisabetta Dejana
- Vascular Biology Unit, FIRC Institute of Molecular Oncology, 20139 Milan, Italy
| | - Maren Diepenbruck
- Tumor Biology, Department of Biomedicine, University of Basel, 4058 Basel, Switzerland
| | - Gerhard Christofori
- Tumor Biology, Department of Biomedicine, University of Basel, 4058 Basel, Switzerland
| | - Martin Buess
- Department of Oncology, St. Claraspital, Kleinriehenstrasse 30, 4016 Basel, Switzerland
| |
Collapse
|
10
|
Wei EX, Li X, Nan H. Extremity nevus count is an independent risk factor for basal cell carcinoma and melanoma, but not squamous cell carcinoma. J Am Acad Dermatol 2019; 80:970-978. [PMID: 30713015 DOI: 10.1016/j.jaad.2018.09.044] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Revised: 08/04/2018] [Accepted: 09/11/2018] [Indexed: 11/27/2022]
Abstract
BACKGROUND The presence of nevi portends an increased risk for melanoma. OBJECTIVE We sought to examine the association between extremity nevus count and the risk of melanoma and keratinocyte cancers. METHODS We evaluated prospective cohorts of 176,317 women (the Nurses' Health Study, 1986-2012 and the Nurses' Health Study 2, 1989-2013) and 32,383 men (Health Professionals Follow-up Study, 1986-2012). Information on nevus count (none, 1-5, 6-14, ≥15) on the extremity was collected at baseline. RESULTS There were 1704 incident cases of melanoma, 2296 incident cases of squamous cell carcinoma, and 30,457 incident cases of basal cell carcinoma, with a total of 4,655,043 person-years for melanoma and 4,267,708 person-years for keratinocyte cancers. The presence of an extremity nevus was associated with an increased risk of melanoma in all anatomic areas and increased risk of basal cell carcinoma (BCC). Individuals with ≥15 nevi had the highest risk of melanoma and BCC compared to those without any extremity nevi (melanoma hazard ratio 2.79 [95% confidence interval 2.04-3.83]; BCC HR 1.40 [95% confidence interval 1.32-1.49]). No significant association was observed for squamous cell carcinoma. LIMITATIONS Limitations of our study included self-reported nevus count and detection bias. CONCLUSIONS Extremity nevus count is a helpful clinical marker in risk-stratifying individuals for BCC and melanoma on all body sites.
Collapse
Affiliation(s)
- Erin X Wei
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Xin Li
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana
| | - Hongmei Nan
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana; Indiana University Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, Indiana.
| |
Collapse
|
11
|
Duffy DL, Zhu G, Li X, Sanna M, Iles MM, Jacobs LC, Evans DM, Yazar S, Beesley J, Law MH, Kraft P, Visconti A, Taylor JC, Liu F, Wright MJ, Henders AK, Bowdler L, Glass D, Ikram MA, Uitterlinden AG, Madden PA, Heath AC, Nelson EC, Green AC, Chanock S, Barrett JH, Brown MA, Hayward NK, MacGregor S, Sturm RA, Hewitt AW, Kayser M, Hunter DJ, Newton Bishop JA, Spector TD, Montgomery GW, Mackey DA, Smith GD, Nijsten TE, Bishop DT, Bataille V, Falchi M, Han J, Martin NG. Novel pleiotropic risk loci for melanoma and nevus density implicate multiple biological pathways. Nat Commun 2018; 9:4774. [PMID: 30429480 PMCID: PMC6235897 DOI: 10.1038/s41467-018-06649-5] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Accepted: 09/13/2018] [Indexed: 11/09/2022] Open
Abstract
The total number of acquired melanocytic nevi on the skin is strongly correlated with melanoma risk. Here we report a meta-analysis of 11 nevus GWAS from Australia, Netherlands, UK, and USA comprising 52,506 individuals. We confirm known loci including MTAP, PLA2G6, and IRF4, and detect novel SNPs in KITLG and a region of 9q32. In a bivariate analysis combining the nevus results with a recent melanoma GWAS meta-analysis (12,874 cases, 23,203 controls), SNPs near GPRC5A, CYP1B1, PPARGC1B, HDAC4, FAM208B, DOCK8, and SYNE2 reached global significance, and other loci, including MIR146A and OBFC1, reached a suggestive level. Overall, we conclude that most nevus genes affect melanoma risk (KITLG an exception), while many melanoma risk loci do not alter nevus count. For example, variants in TERC and OBFC1 affect both traits, but other telomere length maintenance genes seem to affect melanoma risk only. Our findings implicate multiple pathways in nevogenesis.
Collapse
Affiliation(s)
- David L Duffy
- QIMR Berghofer Medical Research Institute, Brisbane, Australia.
| | - Gu Zhu
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Xin Li
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, IN, 63110, USA
| | - Marianna Sanna
- Department of Twin Research & Genetic Epidemiology, St Thomas Hospital Campus, Kings College, London, UK
| | - Mark M Iles
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Leonie C Jacobs
- Department of Dermatology, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - David M Evans
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Australia
| | - Seyhan Yazar
- Centre for Ophthalmology and Vision Science, University of Western Australia and the Lions Eye Institute, Perth, Australia
| | | | - Matthew H Law
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, 02115, MA, USA
| | - Alessia Visconti
- Department of Twin Research & Genetic Epidemiology, St Thomas Hospital Campus, Kings College, London, UK
| | - John C Taylor
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Fan Liu
- Department of Genetic Identification, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | | | - Anjali K Henders
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Lisa Bowdler
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Dan Glass
- Department of Twin Research & Genetic Epidemiology, St Thomas Hospital Campus, Kings College, London, UK
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, Rotterdam, Netherlands
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus MC, Rotterdam, Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, Netherlands
| | - Pamela A Madden
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Andrew C Heath
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Elliot C Nelson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Adele C Green
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Molecular Oncology Group, CRUK Manchester Institute, University of Manchester, Manchester, UK
| | - Stephen Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jennifer H Barrett
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Matthew A Brown
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Australia
| | | | | | - Richard A Sturm
- Dermatology Research Centre, University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Australia
| | - Alex W Hewitt
- Centre for Ophthalmology and Vision Science, University of Western Australia and the Lions Eye Institute, Perth, Australia
| | - Manfred Kayser
- Department of Genetic Identification, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - David J Hunter
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, 02115, MA, USA
| | - Julia A Newton Bishop
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Timothy D Spector
- Department of Twin Research & Genetic Epidemiology, St Thomas Hospital Campus, Kings College, London, UK
| | - Grant W Montgomery
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - David A Mackey
- Centre for Ophthalmology and Vision Science, University of Western Australia and the Lions Eye Institute, Perth, Australia
| | | | - Tamar E Nijsten
- Department of Dermatology, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - D Timothy Bishop
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Veronique Bataille
- Department of Twin Research & Genetic Epidemiology, St Thomas Hospital Campus, Kings College, London, UK
| | - Mario Falchi
- Department of Twin Research & Genetic Epidemiology, St Thomas Hospital Campus, Kings College, London, UK
| | - Jiali Han
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, IN, 63110, USA
| | | |
Collapse
|
12
|
Thomas NE, Edmiston SN, Orlow I, Kanetsky PA, Luo L, Gibbs DC, Parrish EA, Hao H, Busam KJ, Armstrong BK, Kricker A, Cust AE, Anton-Culver H, Gruber SB, Gallagher RP, Zanetti R, Rosso S, Sacchetto L, Dwyer T, Ollila DW, Begg CB, Berwick M, Conway K. Inherited Genetic Variants Associated with Melanoma BRAF/NRAS Subtypes. J Invest Dermatol 2018; 138:2398-2404. [PMID: 29753029 PMCID: PMC6200630 DOI: 10.1016/j.jid.2018.04.025] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2018] [Accepted: 04/08/2018] [Indexed: 10/16/2022]
Abstract
BRAF and NRAS mutations arise early in melanoma development, but their associations with low-penetrance melanoma susceptibility loci remain unknown. In the Genes, Environment and Melanoma Study, 1,223 European-origin participants had their incident invasive primary melanomas screened for BRAF/NRAS mutations and germline DNA genotyped for 47 single-nucleotide polymorphisms identified as low-penetrant melanoma-risk variants. We used multinomial logistic regression to simultaneously examine each single-nucleotide polymorphism's relationship to BRAF V600E, BRAF V600K, BRAF other, and NRAS+ relative to BRAF-/NRAS- melanoma adjusted for study features. IRF4 rs12203592*T was associated with BRAF V600E (odds ratio [OR] = 0.59, 95% confidence interval [CI] = 0.43-0.79) and V600K (OR = 0.65, 95% CI = 0.41-1.03), but not BRAF other or NRAS+ melanoma. A global test of etiologic heterogeneity (Pglobal = 0.001) passed false discovery (Pglobal = 0.0026). PLA2G6 rs132985*T was associated with BRAF V600E (OR = 1.32, 95% CI = 1.05-1.67) and BRAF other (OR = 1.82, 95% CI = 1.11-2.98), but not BRAF V600K or NRAS+ melanoma. The test for etiologic heterogeneity (Pglobal) was 0.005. The IRF4 rs12203592 associations were slightly attenuated after adjustment for melanoma-risk phenotypes. The PLA2G6 rs132985 associations were independent of phenotypes. IRF4 and PLA2G6 inherited genotypes may influence melanoma BRAF/NRAS subtype development.
Collapse
Affiliation(s)
- Nancy E Thomas
- Department of Dermatology, University of North Carolina, Chapel Hill, North Carolina, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA.
| | - Sharon N Edmiston
- Department of Dermatology, University of North Carolina, Chapel Hill, North Carolina, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Irene Orlow
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, USA
| | - Peter A Kanetsky
- Department of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Li Luo
- Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, New Mexico, USA
| | - David C Gibbs
- Department of Epidemiology, Emory University, Atlanta, Georgia, USA
| | - Eloise A Parrish
- Department of Dermatology, University of North Carolina, Chapel Hill, North Carolina, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Honglin Hao
- Department of Dermatology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Klaus J Busam
- Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, USA
| | - Bruce K Armstrong
- School of Public and Global Health, The University of Western Australia, Perth, Australia
| | - Anne Kricker
- Sydney School of Public Health, The University of Sydney, Sydney, Australia
| | - Anne E Cust
- Sydney School of Public Health, The University of Sydney, Sydney, Australia; Melanoma Institute Australia, The University of Sydney, North Sydney, Australia
| | - Hoda Anton-Culver
- Department of Epidemiology, University of California, Irvine, California, USA
| | - Stephen B Gruber
- USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, USA
| | - Richard P Gallagher
- British Columbia Cancer and Department of Dermatology and Skin Science, University of British Columbia, Vancouver, British Columbia, Canada
| | - Roberto Zanetti
- Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy
| | - Stefano Rosso
- Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy
| | - Lidia Sacchetto
- Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy; Politecnico di Torino, Turin, Italy
| | - Terence Dwyer
- George Institute for Global Health, Nuffield Department of Obstetrics and Gynecology, University of Oxford, Oxford, UK
| | - David W Ollila
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA; Department of Surgery, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Colin B Begg
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, USA
| | - Marianne Berwick
- Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, New Mexico, USA
| | - Kathleen Conway
- Department of Dermatology, University of North Carolina, Chapel Hill, North Carolina, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA; Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
| |
Collapse
|
13
|
Zhang T, Choi J, Kovacs MA, Shi J, Xu M, Goldstein AM, Trower AJ, Bishop DT, Iles MM, Duffy DL, MacGregor S, Amundadottir LT, Law MH, Loftus SK, Pavan WJ, Brown KM. Cell-type-specific eQTL of primary melanocytes facilitates identification of melanoma susceptibility genes. Genome Res 2018; 28:1621-1635. [PMID: 30333196 PMCID: PMC6211648 DOI: 10.1101/gr.233304.117] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Accepted: 09/21/2018] [Indexed: 12/18/2022]
Abstract
Most expression quantitative trait locus (eQTL) studies to date have been performed in heterogeneous tissues as opposed to specific cell types. To better understand the cell-type-specific regulatory landscape of human melanocytes, which give rise to melanoma but account for <5% of typical human skin biopsies, we performed an eQTL analysis in primary melanocyte cultures from 106 newborn males. We identified 597,335 cis-eQTL SNPs prior to linkage disequilibrium (LD) pruning and 4997 eGenes (FDR < 0.05). Melanocyte eQTLs differed considerably from those identified in the 44 GTEx tissue types, including skin. Over a third of melanocyte eGenes, including key genes in melanin synthesis pathways, were unique to melanocytes compared to those of GTEx skin tissues or TCGA melanomas. The melanocyte data set also identified trans-eQTLs, including those connecting a pigmentation-associated functional SNP with four genes, likely through cis-regulation of IRF4 Melanocyte eQTLs are enriched in cis-regulatory signatures found in melanocytes as well as in melanoma-associated variants identified through genome-wide association studies. Melanocyte eQTLs also colocalized with melanoma GWAS variants in five known loci. Finally, a transcriptome-wide association study using melanocyte eQTLs uncovered four novel susceptibility loci, where imputed expression levels of five genes (ZFP90, HEBP1, MSC, CBWD1, and RP11-383H13.1) were associated with melanoma at genome-wide significant P-values. Our data highlight the utility of lineage-specific eQTL resources for annotating GWAS findings, and present a robust database for genomic research of melanoma risk and melanocyte biology.
Collapse
Affiliation(s)
- Tongwu Zhang
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Jiyeon Choi
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Michael A Kovacs
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Jianxin Shi
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Mai Xu
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Alisa M Goldstein
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Adam J Trower
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, LS9 7TF, United Kingdom
| | - D Timothy Bishop
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, LS9 7TF, United Kingdom
| | - Mark M Iles
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, LS9 7TF, United Kingdom
| | - David L Duffy
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, 4006, Australia
| | - Stuart MacGregor
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, 4006, Australia
| | - Laufey T Amundadottir
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Matthew H Law
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, 4006, Australia
| | - Stacie K Loftus
- Genetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - William J Pavan
- Genetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Kevin M Brown
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| |
Collapse
|
14
|
Kocarnik JM, Richard M, Graff M, Haessler J, Bien S, Carlson C, Carty CL, Reiner AP, Avery CL, Ballantyne CM, LaCroix AZ, Assimes TL, Barbalic M, Pankratz N, Tang W, Tao R, Chen D, Talavera GA, Daviglus ML, Chirinos-Medina DA, Pereira R, Nishimura K, Bůžková P, Best LG, Ambite JL, Cheng I, Crawford DC, Hindorff LA, Fornage M, Heiss G, North KE, Haiman CA, Peters U, Le Marchand L, Kooperberg C. Discovery, fine-mapping, and conditional analyses of genetic variants associated with C-reactive protein in multiethnic populations using the Metabochip in the Population Architecture using Genomics and Epidemiology (PAGE) study. Hum Mol Genet 2018; 27:2940-2953. [PMID: 29878111 PMCID: PMC6077792 DOI: 10.1093/hmg/ddy211] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Revised: 05/02/2018] [Accepted: 05/28/2018] [Indexed: 12/11/2022] Open
Abstract
C-reactive protein (CRP) is a circulating biomarker indicative of systemic inflammation. We aimed to evaluate genetic associations with CRP levels among non-European-ancestry populations through discovery, fine-mapping and conditional analyses. A total of 30 503 non-European-ancestry participants from 6 studies participating in the Population Architecture using Genomics and Epidemiology study had serum high-sensitivity CRP measurements and ∼200 000 single nucleotide polymorphisms (SNPs) genotyped on the Metabochip. We evaluated the association between each SNP and log-transformed CRP levels using multivariate linear regression, with additive genetic models adjusted for age, sex, the first four principal components of genetic ancestry, and study-specific factors. Differential linkage disequilibrium patterns between race/ethnicity groups were used to fine-map regions associated with CRP levels. Conditional analyses evaluated for multiple independent signals within genetic regions. One hundred and sixty-three unique variants in 12 loci in overall or race/ethnicity-stratified Metabochip-wide scans reached a Bonferroni-corrected P-value <2.5E-7. Three loci have no (HACL1, OLFML2B) or only limited (PLA2G6) previous associations with CRP levels. Six loci had different top hits in race/ethnicity-specific versus overall analyses. Fine-mapping refined the signal in six loci, particularly in HNF1A. Conditional analyses provided evidence for secondary signals in LEPR, IL1RN and HNF1A, and for multiple independent signals in CRP and APOE. We identified novel variants and loci associated with CRP levels, generalized known CRP associations to a multiethnic study population, refined association signals at several loci and found evidence for multiple independent signals at several well-known loci. This study demonstrates the benefit of conducting inclusive genetic association studies in large multiethnic populations.
Collapse
Affiliation(s)
- Jonathan M Kocarnik
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Institute of Translational Health Sciences, University of Washington, Seattle, WA, USA
| | - Melissa Richard
- Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center, Houston, TX, USA
| | - Misa Graff
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Jeffrey Haessler
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Stephanie Bien
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Chris Carlson
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Alexander P Reiner
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Christy L Avery
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Christie M Ballantyne
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Andrea Z LaCroix
- Department of Epidemiology, University of San Diego, San Diego, CA, USA
| | | | - Maja Barbalic
- Division of Epidemiology, Human Genetics & Environmental Sciences, The University of Texas, Houston, TX, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Weihong Tang
- Division of Epidemiology & Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Ran Tao
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Dongquan Chen
- Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Gregory A Talavera
- Division of Health Promotion and Behavioral Science, San Diego State University, San Diego, CA, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois College of Medicine, Chicago, IL, USA
| | - Diana A Chirinos-Medina
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Rocio Pereira
- Division of Endocrinology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Katie Nishimura
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Petra Bůžková
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Lyle G Best
- Missouri Breaks Industries Research, Inc., Eagle Butte, SD, USA
| | - José Luis Ambite
- Information Sciences Institute, University of Southern California, Marina del Rey, CA, USA
| | - Iona Cheng
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Dana C Crawford
- Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | | | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center, Houston, TX, USA
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center, Houston, TX, USA
| | - Gerardo Heiss
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Ulrike Peters
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Charles Kooperberg
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| |
Collapse
|
15
|
Wu W, Liu H, Song F, Chen LS, Kraft P, Wei Q, Han J. Associations between smoking behavior-related alleles and the risk of melanoma. Oncotarget 2018; 7:47366-47375. [PMID: 27344179 PMCID: PMC5216947 DOI: 10.18632/oncotarget.10144] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Accepted: 06/06/2016] [Indexed: 12/25/2022] Open
Abstract
Several studies have reported that cigarette smoking is inversely associated with the risk of melanoma. This study further tested whether incorporating genetic factors will provide another level of evaluation of mechanisms underlying the association between smoking and risk of melanoma. We investigated the association between SNPs selected from genome-wide association studies (GWAS) on smoking behaviors and risk of melanoma using 2,298 melanoma cases and 6,654 controls. Among 16 SNPs, three (rs16969968 [A], rs1051730 [A] and rs2036534 [C] in the 15q25.1 region) reached significance for association with melanoma risk in men (0.01 < = P values < = 0.02; 0.85 < = Odds Ratios (ORs) <= 1.20). There was association between the genetic scores based on the number of smoking behavior-risk alleles and melanoma risk with P-trend = 0.005 among HPFS. Further association with smoking behaviors indicating those three SNPs (rs16969968 [A], rs1051730 [A] and rs2036534 [C]) significantly associated with number of cigarettes smoked per day, CPD, with P = 0.009, 0.011 and 0.001 respectively. The SNPs rs215605 in the PDE1C gene and rs6265 in the BDNF gene significantly interacted with smoking status on melanoma risk (interaction P = 0.005 and P = 0.003 respectively). Our study suggests that smoking behavior-related SNPs are likely to play a role in melanoma development and the potential public health importance of polymorphisms in the CHRNA5-A3-B4 gene cluster. Further larger studies are warranted to validate the findings.
Collapse
Affiliation(s)
- Wenting Wu
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, Indiana, USA
| | - Hongliang Liu
- Duke Cancer Institute, Duke School of Medicine, Durham, North Carolina, USA
| | - Fengju Song
- Department of Epidemiology and Biostatistics, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Centre of Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, P. R. China
| | - Li-Shiun Chen
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Department of Biostatistics, Harvard University School of Public Health, Boston, Massachusetts, USA
| | - Qingyi Wei
- Duke Cancer Institute, Duke School of Medicine, Durham, North Carolina, USA
| | - Jiali Han
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, Indiana, USA
| |
Collapse
|
16
|
Lindström S, Loomis S, Turman C, Huang H, Huang J, Aschard H, Chan AT, Choi H, Cornelis M, Curhan G, De Vivo I, Eliassen AH, Fuchs C, Gaziano M, Hankinson SE, Hu F, Jensen M, Kang JH, Kabrhel C, Liang L, Pasquale LR, Rimm E, Stampfer MJ, Tamimi RM, Tworoger SS, Wiggs JL, Hunter DJ, Kraft P. A comprehensive survey of genetic variation in 20,691 subjects from four large cohorts. PLoS One 2017; 12:e0173997. [PMID: 28301549 PMCID: PMC5354293 DOI: 10.1371/journal.pone.0173997] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Accepted: 03/01/2017] [Indexed: 12/18/2022] Open
Abstract
The Nurses' Health Study (NHS), Nurses' Health Study II (NHSII), Health Professionals Follow Up Study (HPFS) and the Physicians Health Study (PHS) have collected detailed longitudinal data on multiple exposures and traits for approximately 310,000 study participants over the last 35 years. Over 160,000 study participants across the cohorts have donated a DNA sample and to date, 20,691 subjects have been genotyped as part of genome-wide association studies (GWAS) of twelve primary outcomes. However, these studies utilized six different GWAS arrays making it difficult to conduct analyses of secondary phenotypes or share controls across studies. To allow for secondary analyses of these data, we have created three new datasets merged by platform family and performed imputation using a common reference panel, the 1,000 Genomes Phase I release. Here, we describe the methodology behind the data merging and imputation and present imputation quality statistics and association results from two GWAS of secondary phenotypes (body mass index (BMI) and venous thromboembolism (VTE)). We observed the strongest BMI association for the FTO SNP rs55872725 (β = 0.45, p = 3.48x10-22), and using a significance level of p = 0.05, we replicated 19 out of 32 known BMI SNPs. For VTE, we observed the strongest association for the rs2040445 SNP (OR = 2.17, 95% CI: 1.79-2.63, p = 2.70x10-15), located downstream of F5 and also observed significant associations for the known ABO and F11 regions. This pooled resource can be used to maximize power in GWAS of phenotypes collected across the cohorts and for studying gene-environment interactions as well as rare phenotypes and genotypes.
Collapse
Affiliation(s)
- Sara Lindström
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Department of Epidemiology, University of Washington, Seattle, WA, United States of America
| | - Stephanie Loomis
- Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, MA, United States of America
| | - Constance Turman
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Hongyan Huang
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Jinyan Huang
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Hugues Aschard
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Andrew T. Chan
- Gastrointestinal Unit, Massachusetts General Hospital, Boston, MA, United States of America
| | - Hyon Choi
- Section of Rheumatology and Clinical Epidemiology Unit, Boston University School of Medicine, Boston, MA, United States of America
| | - Marilyn Cornelis
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
| | - Gary Curhan
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
- Renal Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States of America
| | - Immaculata De Vivo
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - A. Heather Eliassen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Charles Fuchs
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, United States of America
| | - Michael Gaziano
- Division of Aging, Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States of America
| | - Susan E. Hankinson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA, United States of America
| | - Frank Hu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Majken Jensen
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Jae H. Kang
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Christopher Kabrhel
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
- Department of Emergency Medicine, Center for Vascular Emergencies, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Liming Liang
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Louis R. Pasquale
- Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, MA, United States of America
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Eric Rimm
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Meir J. Stampfer
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Rulla M. Tamimi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Shelley S. Tworoger
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Janey L. Wiggs
- Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, MA, United States of America
| | - David J. Hunter
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| |
Collapse
|
17
|
Li H, Wang Y, Liu H, Shi Q, Xu Y, Wu W, Zhu D, Amos CI, Fang S, Lee JE, Han J, Wei Q. Genetic variants in the integrin signaling pathway genes predict cutaneous melanoma survival. Int J Cancer 2016; 140:1270-1279. [PMID: 27914105 DOI: 10.1002/ijc.30545] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Accepted: 11/02/2016] [Indexed: 01/26/2023]
Abstract
To identify genetic variants involved in prognosis of cutaneous melanoma (CM), we investigated associations of single nucleotide polymorphisms (SNPs) of genes in the integrin signaling pathway with CM survival by re-analyzing a published genome-wide association study (GWAS) from The University of Texas M.D. Anderson Cancer Center (MDACC) and then validated significant SNPs in another GWAS from Harvard University. In the MDACC study, 1,148 SNPs were significantly associated with CM-specific survival (CMSS) (p ≤ 0.050 and false-positive report probability ≤ 0.20), and nine SNPs were validated in the Harvard study (p ≤ 0.050). Among these, three independent SNPs (i.e., DOCK1 rs11018104 T > A, rs35748949 C > T and PAK2 rs1718404 C > T) showed a predictive role in CMSS, with an effect-allele attributed adjusted hazards ratio [adjHR of 1.50 (95% confidence interval (CI) = 1.18-1.90, p = 7.46E-04), 1.53 (1.18-1.97, 1.18E-03) and 0.58 (0.45-0.76, 5.60E-05), respectively]. Haplotype analysis revealed that a haplotype carrying two risk alleles A-T in DOCK1 was associated with the poorest survival in both MDACC (adjHR = 1.73, 95% CI = 1.19-2.50, p = 0.004) and Harvard (adjHR = 1.95, 95% CI = 1.14-3.33, p = 0.010) studies. In addition, patients with an increasing number of unfavorable genotypes (NUGs) for these three SNPs had a poorer survival. Incorporating NUGs with clinical variables showed a significantly improved ability to classify CMSS (AUC increased from 86.8% to 88.6%, p = 0.031). Genetic variants in the integrin signaling pathway may independently or jointly modulate the survival of CM patients. Further large, prospective studies are needed to validate these findings.
Collapse
Affiliation(s)
- Hongyu Li
- Duke Cancer Institute, Duke University Medical Center, Durham, NC.,Department of Medicine, Duke University School of Medicine, Durham, NC.,Department of Gastroenterology, Shenyang Northern Hospital, Shenyang, Liaoning, 110840, China
| | - Yanru Wang
- Duke Cancer Institute, Duke University Medical Center, Durham, NC.,Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Hongliang Liu
- Duke Cancer Institute, Duke University Medical Center, Durham, NC.,Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Qiong Shi
- Duke Cancer Institute, Duke University Medical Center, Durham, NC.,Department of Medicine, Duke University School of Medicine, Durham, NC.,Department of Dermatology, Xijing Hospital, Xi'an, Shanxi, 710032, China
| | - Yinghui Xu
- Duke Cancer Institute, Duke University Medical Center, Durham, NC.,Department of Medicine, Duke University School of Medicine, Durham, NC.,Cancer Center, The First Hospital of Jilin University, Changchun, Jilin, 130021, China
| | - Wenting Wu
- Department of Epidemiology, Fairbanks School of Public Health, Indiana University Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, IN
| | - Dakai Zhu
- Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Hanover, NH
| | - Christopher I Amos
- Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Hanover, NH
| | - Shenying Fang
- Department of Surgical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, TX
| | - Jeffrey E Lee
- Department of Surgical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, TX
| | - Jiali Han
- Department of Epidemiology, Fairbanks School of Public Health, Indiana University Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, IN.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Qingyi Wei
- Duke Cancer Institute, Duke University Medical Center, Durham, NC.,Department of Medicine, Duke University School of Medicine, Durham, NC
| |
Collapse
|
18
|
Roos L, Sandling JK, Bell CG, Glass D, Mangino M, Spector TD, Deloukas P, Bataille V, Bell JT. Higher Nevus Count Exhibits a Distinct DNA Methylation Signature in Healthy Human Skin: Implications for Melanoma. J Invest Dermatol 2016; 137:910-920. [PMID: 27993549 PMCID: PMC5754330 DOI: 10.1016/j.jid.2016.11.029] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Revised: 10/14/2016] [Accepted: 11/21/2016] [Indexed: 12/13/2022]
Abstract
High nevus count is the strongest risk factor for melanoma, and although gene variants have been discovered for both traits, epigenetic variation is unexplored. We investigated 322 healthy human skin DNA methylomes associated with total body nevi count, incorporating genetic and transcriptomic variation. DNA methylation changes were identified at genes involved in melanocyte biology, such as RAF1 (P = 1.2 × 10-6) and CTC1 (region: P = 6.3 × 10-4), and other genes including ARRDC1 (P = 3.1 × 10-7). A subset exhibited coordinated methylation and transcription changes within the same biopsy. The total analysis was also enriched for melanoma-associated DNA methylation variation (P = 6.33 × 10-6). In addition, we show that skin DNA methylation is associated in cis with known genome-wide association study single nucleotide polymorphisms for nevus count, at PLA2G6 (P = 1.7 × 10-49) and NID1 (P = 6.4 × 10-14), as well as melanoma risk, including in or near MC1R, MX2, and TERT/CLPTM1L (P < 1 × 10-10). Our analysis using a uniquely large dataset comprising healthy skin DNA methylomes identified known and additional regulatory loci and pathways in nevi and melanoma biology. This integrative study improves our understanding of predisposition to nevi and their potential contribution to melanoma pathogenesis.
Collapse
Affiliation(s)
- Leonie Roos
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK; MRC London Institute of Medical Sciences, London, UK; Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK.
| | - Johanna K Sandling
- Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Christopher G Bell
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK; MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Human Development and Health Academic Unit, Institute of Developmental Sciences, University of Southampton, Southampton, UK; Epigenomic Medicine, Centre for Biological Sciences, Faculty of Environmental and Natural Sciences, University of Southampton, Southampton, UK
| | - Daniel Glass
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Panos Deloukas
- William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Veronique Bataille
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Jordana T Bell
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| |
Collapse
|
19
|
Wu S, Han J, Laden F, Qureshi AA. Long-term ultraviolet flux, other potential risk factors, and skin cancer risk: a cohort study. Cancer Epidemiol Biomarkers Prev 2016; 23:1080-9. [PMID: 24876226 DOI: 10.1158/1055-9965.epi-13-0821] [Citation(s) in RCA: 98] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Few prospective studies have examined the relationship between sun exposure, other potential risk factors, and risk of different skin cancers [including basal cell carcinoma (BCC), squamous cell carcinoma (SCC), and melanoma] simultaneously. METHODS We evaluated the association between a number of potential risk factors and skin cancer risk in a cohort of 108,916 US women, the Nurses' Health Study II (1989-2009). RESULTS During 2.05 million years of follow-up, we identified 6,955, 880, and 779 diagnoses of BCC, SCC, and melanoma, respectively. Compared with participants in the lowest quintile of cumulative ultraviolet flux in adulthood, participants in the highest quintile had multivariable-adjusted relative risks (RR) of 2.35 (Ptrend < 0.0001) for BCC, 2.53 (Ptrend = 0.009) for SCC, and 0.68 (Ptrend = 0.38) for melanoma. In contrast, the RRs were 1.68 (95% CI, 1.55-1.82) for BCC, 1.68 (95% CI, 1.34-2.11) for SCC, and 1.80 (95% CI, 1.42-2.28) for melanoma for participants with ≥5 blistering sunburns when compared with participants without sunburn between ages 15 and 20 years. We found significant interactions between family history of melanoma, number of blistering sunburns between ages 15 and 20 years and BCC risk, and between sunburn reaction as a child/adolescent and SCC risk (all Pinteraction < 0.05). CONCLUSION In a cohort of U.S. women, we found that sun exposures in both early life and adulthood were predictive of BCC and SCC risks, whereas melanoma risk was predominantly associated with sun exposure in early life. IMPACT Our results may have potential implications for the prevention of skin cancers. Cancer Epidemiol Biomarkers Prev; 23(6); 1080-9. ©2014 AACR.
Collapse
Affiliation(s)
- Shaowei Wu
- Authors' Affiliations: Department of Dermatology; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School; Departments of Epidemiology and Environmental Health, Harvard School of Public Health, Boston, Massachusetts; Department of Epidemiology, Fairbanks School of Public Health, Simon Cancer Center, Indiana University, Indianapolis, Indiana; and Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode IslandAuthors' Affiliations: Department of Dermatology; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School; Departments of Epidemiology and Environmental Health, Harvard School of Public Health, Boston, Massachusetts; Department of Epidemiology, Fairbanks School of Public Health, Simon Cancer Center, Indiana University, Indianapolis, Indiana; and Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Jiali Han
- Authors' Affiliations: Department of Dermatology; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School; Departments of Epidemiology and Environmental Health, Harvard School of Public Health, Boston, Massachusetts; Department of Epidemiology, Fairbanks School of Public Health, Simon Cancer Center, Indiana University, Indianapolis, Indiana; and Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode IslandAuthors' Affiliations: Department of Dermatology; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School; Departments of Epidemiology and Environmental Health, Harvard School of Public Health, Boston, Massachusetts; Department of Epidemiology, Fairbanks School of Public Health, Simon Cancer Center, Indiana University, Indianapolis, Indiana; and Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode IslandAuthors' Affiliations: Department of Dermatology; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School; Departments of Epidemiology and Environmental Health, Harvard School of Public Health, Boston, Massachusetts; Department of Epidemiology, Fairbanks School of Public Health, Simon Cancer Center, Indiana University, Indianapolis, Indiana; and Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode IslandAuthors' Affiliations: Department of Dermatology; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School; Departments of Epidemiology and Environmental Health, Harvard School of Public Health, Boston, Massachusetts; Department of Epidemiology, Fairbanks School of Public Health, Simon Cancer Center, Indiana University, Indianapolis, Indiana; and Department of Dermatology, Warren Alpert Medical School, Br
| | - Francine Laden
- Authors' Affiliations: Department of Dermatology; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School; Departments of Epidemiology and Environmental Health, Harvard School of Public Health, Boston, Massachusetts; Department of Epidemiology, Fairbanks School of Public Health, Simon Cancer Center, Indiana University, Indianapolis, Indiana; and Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode IslandAuthors' Affiliations: Department of Dermatology; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School; Departments of Epidemiology and Environmental Health, Harvard School of Public Health, Boston, Massachusetts; Department of Epidemiology, Fairbanks School of Public Health, Simon Cancer Center, Indiana University, Indianapolis, Indiana; and Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode IslandAuthors' Affiliations: Department of Dermatology; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School; Departments of Epidemiology and Environmental Health, Harvard School of Public Health, Boston, Massachusetts; Department of Epidemiology, Fairbanks School of Public Health, Simon Cancer Center, Indiana University, Indianapolis, Indiana; and Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Abrar A Qureshi
- Authors' Affiliations: Department of Dermatology; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School; Departments of Epidemiology and Environmental Health, Harvard School of Public Health, Boston, Massachusetts; Department of Epidemiology, Fairbanks School of Public Health, Simon Cancer Center, Indiana University, Indianapolis, Indiana; and Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode IslandAuthors' Affiliations: Department of Dermatology; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School; Departments of Epidemiology and Environmental Health, Harvard School of Public Health, Boston, Massachusetts; Department of Epidemiology, Fairbanks School of Public Health, Simon Cancer Center, Indiana University, Indianapolis, Indiana; and Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode IslandAuthors' Affiliations: Department of Dermatology; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School; Departments of Epidemiology and Environmental Health, Harvard School of Public Health, Boston, Massachusetts; Department of Epidemiology, Fairbanks School of Public Health, Simon Cancer Center, Indiana University, Indianapolis, Indiana; and Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| |
Collapse
|
20
|
Gibbs DC, Orlow I, Bramson JI, Kanetsky PA, Luo L, Kricker A, Armstrong BK, Anton-Culver H, Gruber SB, Marrett LD, Gallagher RP, Zanetti R, Rosso S, Dwyer T, Sharma A, La Pilla E, From L, Busam KJ, Cust AE, Ollila DW, Begg CB, Berwick M, Thomas NE. Association of Interferon Regulatory Factor-4 Polymorphism rs12203592 With Divergent Melanoma Pathways. J Natl Cancer Inst 2016; 108:djw004. [PMID: 26857527 DOI: 10.1093/jnci/djw004] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2015] [Accepted: 01/05/2016] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Solar elastosis and neval remnants are histologic markers characteristic of divergent melanoma pathways linked to differences in age at onset, host phenotype, and sun exposure. However, the association between these pathway markers and newly identified low-penetrance melanoma susceptibility loci remains unknown. METHODS In the Genes, Environment and Melanoma (GEM) Study, 2103 Caucasian participants had first primary melanomas that underwent centralized pathology review. For 47 single-nucleotide polymorphisms (SNPs) previously identified as low-penetrant melanoma risk variants, we used multinomial logistic regression to compare melanoma with solar elastosis and melanoma with neval remnants simultaneously to melanoma with neither of these markers, excluding melanomas with both markers. All statistical tests were two-sided. RESULTS IRF4 rs12203592 was the only SNP to pass the false discovery threshold in baseline models adjusted for age, sex, and study center. rs12203592*T was associated positively with melanoma with solar elastosis (odds ratio [OR] = 1.47, 95% confidence interval [CI] = 1.18 to 1.82) and inversely with melanoma with neval remnants (OR = 0.65, 95% CI = 0.48 to 0.87) compared with melanoma with neither marker (P global = 3.78 x 10(-08)). Adjusting for phenotypic characteristics and total sun exposure hours did not materially affect rs12203592's associations. Distinct early- and late-onset age distributions were observed in patients with IRF4 rs12203592 [CC] and [TT] genotypes, respectively. CONCLUSIONS Our findings suggest a role of IRF4 rs12203592 in pathway-specific risk for melanoma development. We hypothesize that IRF4 rs12203592 could underlie in part the bimodal age distribution reported for melanoma and linked to the divergent pathways.
Collapse
Affiliation(s)
- David C Gibbs
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Irene Orlow
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Jennifer I Bramson
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Peter A Kanetsky
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Li Luo
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Anne Kricker
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Bruce K Armstrong
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Hoda Anton-Culver
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Stephen B Gruber
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Loraine D Marrett
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Richard P Gallagher
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Roberto Zanetti
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Stefano Rosso
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Terence Dwyer
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Ajay Sharma
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Emily La Pilla
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Lynn From
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Klaus J Busam
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Anne E Cust
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - David W Ollila
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Colin B Begg
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Marianne Berwick
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF)
| | - Nancy E Thomas
- Department of Dermatology, University of North Carolina, Chapel Hill, NC (DCG, NET); Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC (NET, DWO); Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, NY (IO, AS, ELP, KJB, CBB); Department of Surgery, University of North Carolina, Chapel Hill, NC (JIB, DWO); Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (PAK); Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM (LL, MB); Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia (AEC, AK, BKA); Department of Epidemiology, University of California, Irvine, CA (HAC); USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (SBG); Department of Population Studies and Surveillance, Cancer Care Ontario, Toronto, Ontario, Canada (LDM); Cancer Control Research, British Columbia Cancer Agency, Vancouver, British Columbia, Canada (RPG); Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy (RZ, SR); The George Institute for Global Health, Oxford Martin School of Public Health, University of Oxford, Oxford, UK (TD); Department of Pathology, Women's College Hospital, Toronto, Ontario, Canada (LF).
| | | |
Collapse
|
21
|
Lu Y, Day FR, Gustafsson S, Buchkovich ML, Na J, Bataille V, Cousminer DL, Dastani Z, Drong AW, Esko T, Evans DM, Falchi M, Feitosa MF, Ferreira T, Hedman ÅK, Haring R, Hysi PG, Iles MM, Justice AE, Kanoni S, Lagou V, Li R, Li X, Locke A, Lu C, Mägi R, Perry JRB, Pers TH, Qi Q, Sanna M, Schmidt EM, Scott WR, Shungin D, Teumer A, Vinkhuyzen AAE, Walker RW, Westra HJ, Zhang M, Zhang W, Zhao JH, Zhu Z, Afzal U, Ahluwalia TS, Bakker SJL, Bellis C, Bonnefond A, Borodulin K, Buchman AS, Cederholm T, Choh AC, Choi HJ, Curran JE, de Groot LCPGM, De Jager PL, Dhonukshe-Rutten RAM, Enneman AW, Eury E, Evans DS, Forsen T, Friedrich N, Fumeron F, Garcia ME, Gärtner S, Han BG, Havulinna AS, Hayward C, Hernandez D, Hillege H, Ittermann T, Kent JW, Kolcic I, Laatikainen T, Lahti J, Leach IM, Lee CG, Lee JY, Liu T, Liu Y, Lobbens S, Loh M, Lyytikäinen LP, Medina-Gomez C, Michaëlsson K, Nalls MA, Nielson CM, Oozageer L, Pascoe L, Paternoster L, Polašek O, Ripatti S, Sarzynski MA, Shin CS, Narančić NS, Spira D, Srikanth P, Steinhagen-Thiessen E, Sung YJ, Swart KMA, Taittonen L, Tanaka T, Tikkanen E, van der Velde N, van Schoor NM, Verweij N, Wright AF, Yu L, Zmuda JM, Eklund N, Forrester T, Grarup N, Jackson AU, Kristiansson K, Kuulasmaa T, Kuusisto J, Lichtner P, Luan J, Mahajan A, Männistö S, Palmer CD, Ried JS, Scott RA, Stancáková A, Wagner PJ, Demirkan A, Döring A, Gudnason V, Kiel DP, Kühnel B, Mangino M, Mcknight B, Menni C, O'Connell JR, Oostra BA, Shuldiner AR, Song K, Vandenput L, van Duijn CM, Vollenweider P, White CC, Boehnke M, Boettcher Y, Cooper RS, Forouhi NG, Gieger C, Grallert H, Hingorani A, Jørgensen T, Jousilahti P, Kivimaki M, Kumari M, Laakso M, Langenberg C, Linneberg A, Luke A, Mckenzie CA, Palotie A, Pedersen O, Peters A, Strauch K, Tayo BO, Wareham NJ, Bennett DA, Bertram L, Blangero J, Blüher M, Bouchard C, Campbell H, Cho NH, Cummings SR, Czerwinski SA, Demuth I, Eckardt R, Eriksson JG, Ferrucci L, Franco OH, Froguel P, Gansevoort RT, Hansen T, Harris TB, Hastie N, Heliövaara M, Hofman A, Jordan JM, Jula A, Kähönen M, Kajantie E, Knekt PB, Koskinen S, Kovacs P, Lehtimäki T, Lind L, Liu Y, Orwoll ES, Osmond C, Perola M, Pérusse L, Raitakari OT, Rankinen T, Rao DC, Rice TK, Rivadeneira F, Rudan I, Salomaa V, Sørensen TIA, Stumvoll M, Tönjes A, Towne B, Tranah GJ, Tremblay A, Uitterlinden AG, van der Harst P, Vartiainen E, Viikari JS, Vitart V, Vohl MC, Völzke H, Walker M, Wallaschofski H, Wild S, Wilson JF, Yengo L, Bishop DT, Borecki IB, Chambers JC, Cupples LA, Dehghan A, Deloukas P, Fatemifar G, Fox C, Furey TS, Franke L, Han J, Hunter DJ, Karjalainen J, Karpe F, Kaplan RC, Kooner JS, McCarthy MI, Murabito JM, Morris AP, Bishop JAN, North KE, Ohlsson C, Ong KK, Prokopenko I, Richards JB, Schadt EE, Spector TD, Widén E, Willer CJ, Yang J, Ingelsson E, Mohlke KL, Hirschhorn JN, Pospisilik JA, Zillikens MC, Lindgren C, Kilpeläinen TO, Loos RJF. New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk. Nat Commun 2016; 7:10495. [PMID: 26833246 PMCID: PMC4740398 DOI: 10.1038/ncomms10495] [Citation(s) in RCA: 198] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2015] [Accepted: 12/16/2015] [Indexed: 12/24/2022] Open
Abstract
To increase our understanding of the genetic basis of adiposity and its links to cardiometabolic disease risk, we conducted a genome-wide association meta-analysis of body fat percentage (BF%) in up to 100,716 individuals. Twelve loci reached genome-wide significance (P<5 × 10(-8)), of which eight were previously associated with increased overall adiposity (BMI, BF%) and four (in or near COBLL1/GRB14, IGF2BP1, PLA2G6, CRTC1) were novel associations with BF%. Seven loci showed a larger effect on BF% than on BMI, suggestive of a primary association with adiposity, while five loci showed larger effects on BMI than on BF%, suggesting association with both fat and lean mass. In particular, the loci more strongly associated with BF% showed distinct cross-phenotype association signatures with a range of cardiometabolic traits revealing new insights in the link between adiposity and disease risk.
Collapse
Affiliation(s)
- Yingchang Lu
- The Charles Bronfman Institute for Personalized Medicine, The
Icahn School of Medicine at Mount Sinai, New York, New
York
10029, USA
- The Department of Preventive Medicine, The Icahn School of
Medicine at Mount Sinai, New York, New York
10029, USA
| | - Felix R. Day
- MRC Epidemiology Unit, University of Cambridge School of
Clinical Medicine, Institute of Metabolic Science, University of Cambridge,
Cambridge Biomedical Campus, Cambridge
CB2 0QQ, UK
| | - Stefan Gustafsson
- Science for Life Laboratory, Uppsala University, 750
85
Uppsala, Sweden
- Department of Medical Sciences, Molecular Epidemiology, Uppsala
University, 751 85
Uppsala, Sweden
| | - Martin L. Buchkovich
- Department of Genetics, University of North Carolina,
Chapel Hill, North Carolina
27599, USA
| | - Jianbo Na
- Department of Developmental and Regenerative Biology, The Icahn
School of Medicine at Mount Sinai, New York, New York
10029, USA
| | - Veronique Bataille
- West Herts NHS Trust, Herts
HP2 4AD, UK
- Department of Twin Research and Genetic Epidemiology,
King's College London, London
SE1 7EH, UK
| | - Diana L. Cousminer
- Institute for Molecular Medicine Finland, University of
Helsinki, FI-00290
Helsinki, Finland
| | - Zari Dastani
- Department Epidemiology, Biostatistics and Human Genetics, Lady
Davis Institute, Jewish General Hospital, McGill University,
Montréal, Quebec, Canada
H3T1E2
| | - Alexander W. Drong
- Wellcome Trust Centre for Human Genetics, University of
Oxford, Oxford
OX3 7BN, UK
| | - Tõnu Esko
- Estonian Genome Center, Univeristy of Tartu,
Tartu, 51010, Estonia
- Broad Institute of the Massachusetts Institute of Technology
and Harvard University, Cambridge
2142, USA
- Divisions of Endocrinology and Genetics and Center for Basic
and Translational Obesity Research, Boston Children's Hospital,
Boston, Massachusetts
02115, USA
- Department of Genetics, Harvard Medical School,
Boston, Massachusetts
02115, USA
| | - David M. Evans
- University of Queensland Diamantina Institute, Translational
Research Institute, Brisbane, Queensland
4102, Australia
- MRC Integrative Epidemiology Unit, School of Social and
Community Medicine, University of Bristol, Bristol
BS82BN, UKnited
| | - Mario Falchi
- Department of Twin Research and Genetic Epidemiology,
King's College London, London
SE1 7EH, UK
- Department of Genomics of Common Disease, School of Public
Health, Imperial College London, London
W12 0NN, UK
| | - Mary F. Feitosa
- Division of Statistical Genomics, Department of Genetics,
Washington University School of Medicine, St Louis,
Missouri
63108, USA
| | - Teresa Ferreira
- Wellcome Trust Centre for Human Genetics, University of
Oxford, Oxford
OX3 7BN, UK
| | - Åsa K. Hedman
- Science for Life Laboratory, Uppsala University, 750
85
Uppsala, Sweden
- Department of Medical Sciences, Molecular Epidemiology, Uppsala
University, 751 85
Uppsala, Sweden
- Wellcome Trust Centre for Human Genetics, University of
Oxford, Oxford
OX3 7BN, UK
| | - Robin Haring
- Institute of Clinical Chemistry and Laboratory Medicine,
University Medicine Greifswald, 17475
Greifswald, Germany
- European University of Applied Sciences, Faculty of Applied
Public Health, 18055
Rostock, Germany
| | - Pirro G. Hysi
- Department of Twin Research and Genetic Epidemiology,
King's College London, London
SE1 7EH, UK
| | - Mark M. Iles
- Leeds Institute of Cancer and Pathology, Cancer Research UK
Leeds Centre, University of Leeds, Leeds
LS9 7TF, UK
| | - Anne E. Justice
- Department of Epidemiology, University of North Carolina at
Chapel Hill, Chapel Hill, North Carolina
27599, USA
| | - Stavroula Kanoni
- William Harvey Research Institute, Barts and The London School
of Medicine and Dentistry, Queen Mary University of London,
London
EC1M 6BQ, UK
- Wellcome Trust Sanger Institute, Human Genetics,
Hinxton, Cambridge
CB10 1SA, UK
| | - Vasiliki Lagou
- Wellcome Trust Centre for Human Genetics, University of
Oxford, Oxford
OX3 7BN, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism,
University of Oxford, Churchill Hospital, Oxford
OX3 7LJ, UK
| | - Rui Li
- Department Epidemiology, Biostatistics and Human Genetics, Lady
Davis Institute, Jewish General Hospital, McGill University,
Montréal, Quebec, Canada
H3T1E2
| | - Xin Li
- Department of Epidemiology, Harvard School of Public
Health, Boston, Massachusetts
02115, USA
| | - Adam Locke
- Center for Statistical Genetics, Department of Biostatistics,
University of Michigan, Ann Arbor, Michigan
48109, USA
| | - Chen Lu
- Department of Biostatistics, Boston University School of Public
Health, Boston, Massachusetts
02118, USA
| | - Reedik Mägi
- Wellcome Trust Centre for Human Genetics, University of
Oxford, Oxford
OX3 7BN, UK
- Estonian Genome Center, Univeristy of Tartu,
Tartu, 51010, Estonia
| | - John R. B. Perry
- MRC Epidemiology Unit, University of Cambridge School of
Clinical Medicine, Institute of Metabolic Science, University of Cambridge,
Cambridge Biomedical Campus, Cambridge
CB2 0QQ, UK
| | - Tune H. Pers
- Divisions of Endocrinology and Genetics and Center for Basic
and Translational Obesity Research, Boston Children's Hospital,
Boston, Massachusetts
02115, USA
- Department of Genetics, Harvard Medical School,
Boston, Massachusetts
02115, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research,
Section of Metabolic Genetics, Faculty of Health and Medical Sciences,
University of Copenhagen, 2100
Copenhagen, Denmark
- Medical and Population Genetics Program, Broad Institute of MIT
and Harvard, Cambridge
02142, USA
- Department of Epidemiology Research, Statens Serum
Institut, 2100
Copenhagen, Denmark
| | - Qibin Qi
- Department of Epidemiology and Popualtion Health, Albert
Einstein College of Medicine, Bronx, New York
10461, USA
| | - Marianna Sanna
- Department of Twin Research and Genetic Epidemiology,
King's College London, London
SE1 7EH, UK
- Department of Genomics of Common Disease, School of Public
Health, Imperial College London, London
W12 0NN, UK
| | - Ellen M. Schmidt
- Department of Computational Medicine and Bioinformatics,
University of Michigan, Ann Arbor, Michigan
48109, USA
| | - William R. Scott
- Department of Epidemiology and Biostatistics, Imperial College
London, London
W2 1PG, UK
- Ealing Hospital NHS Trust, Middlesex
UB1 3HW, UK
| | - Dmitry Shungin
- Lund University Diabetes Centre, Department of Clinical
Science, Genetic and Molecular Epidemiology Unit, Skåne University
Hosptial, 205 02
Malmö, Sweden
- Department of Public Health and Clinical Medicine, Unit of
Medicine, Umeå University, 901 87
Umeå, Sweden
- Department of Odontology, Umeå University,
901 85
Umeå, Sweden
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine
Greifswald, 17475
Greifswald, Germany
- Interfaculty Institute for Genetics and Functional Genomics,
University Medicine Greifswald, 17475
Greifswald, Germany
| | | | - Ryan W. Walker
- The Charles Bronfman Institute for Personalized Medicine, The
Icahn School of Medicine at Mount Sinai, New York, New
York
10029, USA
- The Department of Preventive Medicine, The Icahn School of
Medicine at Mount Sinai, New York, New York
10029, USA
| | - Harm-Jan Westra
- Program in Medical and Population Genetics, Broad Institute of
Harvard and Massachusetts Institute of Technology, Cambridge,
Massachusetts
02142, USA
- Divisions of Genetics and Rheumatology, Department of Medicine,
Brigham and Women's Hospital and Harvard Medical School,
Boston, Massachusetts
02446, USA
- Partners Center for Personalized Genetic Medicine,
Boston, Massachusetts
02446, USA
| | - Mingfeng Zhang
- Department of Dermatology, Brigham and Women's
Hospital, Boston, Massachusetts
02115, USA
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, Imperial College
London, London
W2 1PG, UK
- Ealing Hospital NHS Trust, Middlesex
UB1 3HW, UK
| | - Jing Hua Zhao
- MRC Epidemiology Unit, University of Cambridge School of
Clinical Medicine, Institute of Metabolic Science, University of Cambridge,
Cambridge Biomedical Campus, Cambridge
CB2 0QQ, UK
| | - Zhihong Zhu
- Queensland Brain Institute, The University of Queensland,
Brisbane
4072, Australia
| | - Uzma Afzal
- Department of Epidemiology and Biostatistics, Imperial College
London, London
W2 1PG, UK
- Ealing Hospital NHS Trust, Middlesex
UB1 3HW, UK
| | - Tarunveer Singh Ahluwalia
- Novo Nordisk Foundation Center for Basic Metabolic Research,
Section of Metabolic Genetics, Faculty of Health and Medical Sciences,
University of Copenhagen, 2100
Copenhagen, Denmark
- Copenhagen Prospective Studies on Asthma in Childhood, Faculty
of Health and Medical Sceinces, University of Copenhagen, 2200
Copenhagen, Denmark
- Danish Pediatric Asthma Center, Gentofte Hospital, The Capital
Region, 2200
Copenhagen, Denmark
- Steno Diabetes Center A/S, DK-2820
Gentofte, Denmark
| | - Stephan J. L. Bakker
- University of Groningen, University Medical Center Groningen,
Department of Medicine, 9700 RB
Groningen, The Netherlands
| | - Claire Bellis
- Department of Genetics, Texas Biomedical Research
Institute, San Antonio, Texas
78245, USA
| | - Amélie Bonnefond
- CNRS UMR 8199, F-59019
Lille, France
- European Genomic Institute for Diabetes, 59000
Lille, France
- Université de Lille 2, 59000
Lille, France
| | - Katja Borodulin
- National Institute for Health and Welfare,
FI-00271
Helsinki, Finland
| | - Aron S. Buchman
- Rush Alzheimer's Disease Center, Rush University
Medical Center, Chicago, Illinois
60612, USA
| | - Tommy Cederholm
- Department of Public Health and Caring Sciences, Clinical
Nutrition and Metabolism, Uppsala University, 751 85
Uppsala, Sweden
| | - Audrey C. Choh
- Lifespan Health Research Center, Wright State University
Boonshoft School of Medicine, Dayton, Ohio
45420, USA
| | - Hyung Jin Choi
- Department of Anatomy, Seoul National University College of
Medicine, Seoul
03080, Korea
| | - Joanne E. Curran
- South Texas Diabetes and Obesity Institute, University of Texas
Rio Grande Valley, Brownsville, Texas
78520
| | | | - Philip L. De Jager
- Program in Medical and Population Genetics, Broad Institute of
Harvard and Massachusetts Institute of Technology, Cambridge,
Massachusetts
02142, USA
- Harvard Medical School, Boston,
Massachusetts
02115, USA
- Program in Translational NeuroPsychiatric Genomics, Department
of Neurology, Brigham and Women's Hospital, Boston,
Massachusetts
02115, USA
| | | | - Anke W. Enneman
- Department of Internal Medicine, Erasmus Medical Center,
3015GE
Rotterdam, The Netherlands
| | - Elodie Eury
- CNRS UMR 8199, F-59019
Lille, France
- European Genomic Institute for Diabetes, 59000
Lille, France
- Université de Lille 2, 59000
Lille, France
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute,
San Francisco, California
94107, USA
| | - Tom Forsen
- Department of General Practice and Primary Health Care,
University of Helsinki, FI-00014
Helsinki, Finland
| | - Nele Friedrich
- Institute of Clinical Chemistry and Laboratory Medicine,
University Medicine Greifswald, 17475
Greifswald, Germany
| | - Frédéric Fumeron
- INSERM, UMR_S 1138, Centre de Recherche des Cordeliers,
F-75006
Paris, France
- Sorbonne Universités, UPMC Univ Paris 06, UMR_S
1138, Centre de Recherche des Cordeliers, F-75006
Paris, France
- Université Paris Descartes, Sorbonne Paris
Cité, UMR_S 1138, Centre de Recherche des Cordeliers,
F-75006
Paris, France
- Univ Paris Diderot, Sorbonne Paris Cité, UMR_S 1138,
Centre de Recherche des Cordeliers, F-75006
Paris, France
| | - Melissa E. Garcia
- Laboratory of Epidemiology and Population Sciences, National
Institute on Aging, Bethesda, Maryland
20892, USA
| | - Simone Gärtner
- Department of Medicine A, University Medicine Greifswald,
17475
Greifswald, Germany
| | - Bok-Ghee Han
- Center for Genome Science, National Institute of Health, Osong
Health Technology Administration Complex, Chungcheongbuk-do
370914, Korea
| | - Aki S. Havulinna
- National Institute for Health and Welfare,
FI-00271
Helsinki, Finland
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular
Medicine, University of Edinburgh, Edinburgh
EH4 2XU, UK
| | - Dena Hernandez
- Laboratory of Neurogenetics, National Institute on Aging,
National Institutes of Health, Bethesda, Maryland
20892, USA
| | - Hans Hillege
- University of Groningen, University Medical Center Groningen,
Department of Cardiology, 9700 RB
Groningen, The Netherlands
| | - Till Ittermann
- Institute for Community Medicine, University Medicine
Greifswald, 17475
Greifswald, Germany
| | - Jack W. Kent
- Department of Genetics, Texas Biomedical Research
Institute, San Antonio, Texas
78245, USA
| | - Ivana Kolcic
- Department of Public Health, Faculty of Medicine, University of
Split, Split
21000, Croatia
| | - Tiina Laatikainen
- National Institute for Health and Welfare,
FI-00271
Helsinki, Finland
- Hospital District of North Karelia, FI-80210
Joensuu, Finland
- Institute of Public Health and Clinical Nutrition, University
of Eastern Finland, FI-70211
Kuopio, Finland
| | - Jari Lahti
- Folkhälsan Research Centre, FI-00290
Helsinki, Finland
- Institute of Behavioural Sciences, University of
Helsinki, FI-00014
Helsinki, Finland
| | - Irene Mateo Leach
- University of Groningen, University Medical Center Groningen,
Department of Cardiology, 9700 RB
Groningen, The Netherlands
| | - Christine G. Lee
- Department of Medicine, Oregon Health and Science
University, Portland, Oregon
97239, USA
- Research Service, Veterans Affairs Medical Center,
Portland, Oregon
97239, USA
| | - Jong-Young Lee
- Center for Genome Science, National Institute of Health, Osong
Health Technology Administration Complex, Chungcheongbuk-do
370914, Korea
| | - Tian Liu
- Max Planck Institute for Molecular Genetics, Department of
Vertebrate Genomics, 14195
Berlin, Germany
- Max Planck Institute for Human Development,
14194
Berlin, Germany
| | - Youfang Liu
- Thurston Arthritis Research Center, University of North
Carolina at Chapel Hill, Chaper Hill, North Carolina
27599-7280, USA
| | - Stéphane Lobbens
- CNRS UMR 8199, F-59019
Lille, France
- European Genomic Institute for Diabetes, 59000
Lille, France
- Université de Lille 2, 59000
Lille, France
| | - Marie Loh
- Department of Epidemiology and Biostatistics, Imperial College
London, London
W2 1PG, UK
- Translational Laboratory in Genetic Medicine (TLGM), Agency for
Science, Technology and Research (A*STAR), 8A Biomedical
Grove, Immunos, Level 5, Singapore
138648, Singapore
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, University of Tampere School
of Medicine, FI-33014
Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories and
School of Medicine, University of Tampere, FI-33520
Tampere, Finland
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus Medical Center,
3015GE
Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands
Consortium for Healthy Aging (NCHA), Rotterdam
The Netherlands
- Department of Epidemiology, Erasmus Medical Center,
3015GE
Rotterdam, The Netherlands
| | - Karl Michaëlsson
- Department of Surgical Sciences, Orthopedics, Uppsala
University, 751 85
Uppsala, Sweden
| | - Mike A. Nalls
- Laboratory of Neurogenetics, National Institute on Aging,
National Institutes of Health, Bethesda, Maryland
20892, USA
| | - Carrie M. Nielson
- School of Public Health, Oregon Health & Science
University, Portland, Oregon
97239, USA
- Bone & Mineral Unit, Oregon Health & Science
University, Portland, Oregon
97239, USA
| | | | - Laura Pascoe
- Institute of Cell & Molecular Biosciences, Newcastle
University, Newcastle
NE1 7RU, UK
| | - Lavinia Paternoster
- MRC Integrative Epidemiology Unit, School of Social and
Community Medicine, University of Bristol, Bristol
BS82BN, UKnited
| | - Ozren Polašek
- Department of Public Health, Faculty of Medicine, University of
Split, Split
21000, Croatia
- Centre for Global Health Research, Usher Institute of
Population Health Sciences and Informatics, University of Edinburgh, Teviot
Place, Edinburgh
EH8 9AG, UK
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland, University of
Helsinki, FI-00290
Helsinki, Finland
- Wellcome Trust Sanger Institute, Human Genetics,
Hinxton, Cambridge
CB10 1SA, UK
- Hjelt Institute, University of Helsinki,
FI-00014
Helsinki, Finland
| | - Mark A. Sarzynski
- Human Genomics Laboratory, Pennington Biomedical Research
Center, Baton Rouge, Los Angeles
70808, USA
| | - Chan Soo Shin
- Department of Internal Medicine, Seoul National University
College of Medicine, Seoul
03080, Korea
| | | | - Dominik Spira
- The Berlin Aging Study II; Research Group on Geriatrics;
Charité—Universitätsmedizin Berlin,
13347
Berlin, Germany
- Lipid Clinic at the Interdisciplinary Metabolism Center,
Charité-Universitätsmedizin Berlin, 13353
Berlin, Germany
| | - Priya Srikanth
- School of Public Health, Oregon Health & Science
University, Portland, Oregon
97239, USA
- Bone & Mineral Unit, Oregon Health & Science
University, Portland, Oregon
97239, USA
| | - Elisabeth Steinhagen-Thiessen
- The Berlin Aging Study II; Research Group on Geriatrics;
Charité—Universitätsmedizin Berlin,
13347
Berlin, Germany
- Lipid Clinic at the Interdisciplinary Metabolism Center,
Charité-Universitätsmedizin Berlin, 13353
Berlin, Germany
| | - Yun Ju Sung
- Division of Biostatistics, Washington University School of
Medicine, St Louis, Missouri
63110, USA
| | - Karin M. A. Swart
- EMGO Institute for Health and Care Research, VU University
Medical Center, 1081 BT
Amsterdam, The Netherlands
- VUMC, Department of Epidemiology and Biostatistics,
1081 BT
Amsterdam, The Netherlands
| | - Leena Taittonen
- Department of Pediatrics, University of Oulu,
FI-90014
Oulu, Finland
- Department of Pediatrics, Vaasa Central Hospital,
FI-65100
Vaasa, Finland
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on
Aging, Baltimore, Maryland
21225, USA
| | - Emmi Tikkanen
- Institute for Molecular Medicine Finland, University of
Helsinki, FI-00290
Helsinki, Finland
- Hjelt Institute, University of Helsinki,
FI-00014
Helsinki, Finland
| | - Nathalie van der Velde
- Department of Internal Medicine, Erasmus Medical Center,
3015GE
Rotterdam, The Netherlands
| | - Natasja M. van Schoor
- EMGO Institute for Health and Care Research, VU University
Medical Center, 1081 BT
Amsterdam, The Netherlands
- VUMC, Department of Epidemiology and Biostatistics,
1081 BT
Amsterdam, The Netherlands
| | - Niek Verweij
- University of Groningen, University Medical Center Groningen,
Department of Cardiology, 9700 RB
Groningen, The Netherlands
| | - Alan F. Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular
Medicine, University of Edinburgh, Edinburgh
EH4 2XU, UK
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University
Medical Center, Chicago, Illinois
60612, USA
| | - Joseph M. Zmuda
- Department of Epidemiology; University of Pittsburgh,
Pittsburgh, Pennsylvania
15261, USA
| | - Niina Eklund
- National Institute for Health and Welfare,
FI-00271
Helsinki, Finland
| | - Terrence Forrester
- Tropical Metabolism Research Unit, Tropical Medicine Research
Institute, University of the West Indies, Mona
JMAAW15, Jamaica
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research,
Section of Metabolic Genetics, Faculty of Health and Medical Sciences,
University of Copenhagen, 2100
Copenhagen, Denmark
| | - Anne U. Jackson
- Center for Statistical Genetics, Department of Biostatistics,
University of Michigan, Ann Arbor, Michigan
48109, USA
| | - Kati Kristiansson
- Institute for Molecular Medicine Finland, University of
Helsinki, FI-00290
Helsinki, Finland
- National Institute for Health and Welfare,
FI-00271
Helsinki, Finland
| | - Teemu Kuulasmaa
- Faculty of Health Sciences, Institute of Clinical Medicine,
Internal Medicine, University of Eastern Finland, 70210
Kuopio, Finland
| | - Johanna Kuusisto
- Faculty of Health Sciences, Institute of Clinical Medicine,
Internal Medicine, University of Eastern Finland, 70210
Kuopio, Finland
- Department of Medicine, University of Eastern Finland,
70210
Kuopio, Finland
- Kuopio University Hospital, 70029
Kuopio, Finland
| | - Peter Lichtner
- Institute of Human Genetics, Helmholtz Zentrum
München—German Research Center for Environmental
Health, 85764
Neuherberg, Germany
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge School of
Clinical Medicine, Institute of Metabolic Science, University of Cambridge,
Cambridge Biomedical Campus, Cambridge
CB2 0QQ, UK
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of
Oxford, Oxford
OX3 7BN, UK
| | - Satu Männistö
- National Institute for Health and Welfare,
FI-00271
Helsinki, Finland
| | - Cameron D. Palmer
- Broad Institute of the Massachusetts Institute of Technology
and Harvard University, Cambridge
2142, USA
- Divisions of Endocrinology and Genetics and Center for Basic
and Translational Obesity Research, Boston Children's Hospital,
Boston, Massachusetts
02115, USA
| | - Janina S. Ried
- Institute of Genetic Epidemiology, Helmholtz Zentrum
München—German Research Center for Environmental
Health, 85764
Neuherberg, Germany
| | - Robert A. Scott
- MRC Epidemiology Unit, University of Cambridge School of
Clinical Medicine, Institute of Metabolic Science, University of Cambridge,
Cambridge Biomedical Campus, Cambridge
CB2 0QQ, UK
| | - Alena Stancáková
- Department of Medicine, University of Eastern Finland and
Kuopio University Hospital, 70210
Kuopio, Finland
| | - Peter J. Wagner
- Institute for Molecular Medicine Finland, University of
Helsinki, FI-00290
Helsinki, Finland
- National Institute for Health and Welfare,
FI-00271
Helsinki, Finland
| | - Ayse Demirkan
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, 3015GE
Rotterdam, The Netherlands
| | - Angela Döring
- Institute of Epidemiology I, Helmholtz Zentrum
München—German Research Center for Environmental
Health, 85764
Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum
München—German Research Center for Environmental
Health, 85764
Neuherberg, Germany
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur
201, Iceland
- University of Iceland, Faculty of Medicine,
Reykjavik
101, Iceland
| | - Douglas P. Kiel
- Department of Medicine Beth Israel Deaconess Medical Center
and Harvard Medical School, Boston, Massachusetts
02115
- Institute for Aging Research Hebrew Senior Life,
Boston, Massachusetts
02131, USA
| | - Brigitte Kühnel
- Institute of Genetic Epidemiology, Helmholtz Zentrum
München—German Research Center for Environmental
Health, 85764
Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum
München—German Research Center for Environmental
Health, 85764
Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum
München—German Research Center for Environmental
Health, 85764
Neuherberg, Germany
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology,
King's College London, London
SE1 7EH, UK
| | - Barbara Mcknight
- Cardiovascular Health Research Unit, University of
Washington, Seattle, Washington
98101, USA
- Program in Biostatistics and Biomathematics, Divison of Public
Health Sciences, Fred Hutchinson Cancer Research Center,
Seattle, Washington
98109, USA
- Department of Biostatistics, University of Washington,
Seattle, Washington
98195, USA
| | - Cristina Menni
- Department of Twin Research and Genetic Epidemiology,
King's College London, London
SE1 7EH, UK
| | - Jeffrey R. O'Connell
- Program for Personalized and Genomic Medicine, Division of
Endocrinology, Diabetes and Nutrition, Department of Medicine, University of
Maryland School of Medicine, Baltimore, Maryland
21201, USA
| | - Ben A. Oostra
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, 3015GE
Rotterdam, The Netherlands
| | - Alan R. Shuldiner
- Program for Personalized and Genomic Medicine, Division of
Endocrinology, Diabetes and Nutrition, Department of Medicine, University of
Maryland School of Medicine, Baltimore, Maryland
21201, USA
- Geriatric Research and Education Clinical Center, Vetrans
Administration Medical Center, Baltimore, Maryland
21042, USA
| | - Kijoung Song
- Genetics, Projects Clinical Platforms and Sciences,
GlaxoSmithKline, Philadelphia, Pennsylvania
19112, USA
| | - Liesbeth Vandenput
- Centre for Bone and Arthritis Research, Department of Internal
Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy,
University of Gothenburg, 413 45
Gothenburg, Sweden
| | - Cornelia M. van Duijn
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands
Consortium for Healthy Aging (NCHA), Rotterdam
The Netherlands
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, 3015GE
Rotterdam, The Netherlands
- Center for Medical Systems Biology, 2300
Leiden, The Netherlands
| | - Peter Vollenweider
- Department of Internal Medicine, University Hospital Lausanne
(CHUV) and University of Lausanne, 1011
Lausanne, Switzerland
| | - Charles C. White
- Department of Biostatistics, Boston University School of Public
Health, Boston, Massachusetts
02118, USA
| | - Michael Boehnke
- Center for Statistical Genetics, Department of Biostatistics,
University of Michigan, Ann Arbor, Michigan
48109, USA
| | - Yvonne Boettcher
- University of Leipzig, IFB Adiposity Diseases,
04103
Leipzig, Germany
- University of Leipzig, Department of Medicine,
04103
Leipzig, Germany
| | - Richard S. Cooper
- Department of Public Health Sciences, Stritch School of
Medicine, Loyola University Chicago, Maywood, Illinois
61053, USA
| | - Nita G. Forouhi
- MRC Epidemiology Unit, University of Cambridge School of
Clinical Medicine, Institute of Metabolic Science, University of Cambridge,
Cambridge Biomedical Campus, Cambridge
CB2 0QQ, UK
| | - Christian Gieger
- Institute of Genetic Epidemiology, Helmholtz Zentrum
München—German Research Center for Environmental
Health, 85764
Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum
München—German Research Center for Environmental
Health, 85764
Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum
München—German Research Center for Environmental
Health, 85764
Neuherberg, Germany
| | - Harald Grallert
- Institute of Epidemiology II, Helmholtz Zentrum
München—German Research Center for Environmental
Health, 85764
Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum
München—German Research Center for Environmental
Health, 85764
Neuherberg, Germany
- German Center for Diabetes Research (DZD),
85764
Neuherberg, Germany
| | - Aroon Hingorani
- Institute of Cardiovascular Science, University College
London, London
WC1E 6BT, UK
| | - Torben Jørgensen
- Department of Clinical Medicine, Faculty of Health and Medical
Sciences, University of Copenhagen, 2200
Copenhagen, Denmark
- Faculty of Medicine, University of Aalborg,
9220
Aalborg, Denmark
- Research Centre for Prevention and Health,
DK2600
Capital Region of Denmark, Denmark
| | - Pekka Jousilahti
- National Institute for Health and Welfare,
FI-00271
Helsinki, Finland
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, UCL,
London
WC1E 6BT, UK
| | - Meena Kumari
- Department of Epidemiology and Public Health, UCL,
London
WC1E 6BT, UK
| | - Markku Laakso
- Faculty of Health Sciences, Institute of Clinical Medicine,
Internal Medicine, University of Eastern Finland, 70210
Kuopio, Finland
- Department of Medicine, University of Eastern Finland,
70210
Kuopio, Finland
- Kuopio University Hospital, 70029
Kuopio, Finland
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of
Clinical Medicine, Institute of Metabolic Science, University of Cambridge,
Cambridge Biomedical Campus, Cambridge
CB2 0QQ, UK
- Department of Epidemiology and Public Health, UCL,
London
WC1E 6BT, UK
| | - Allan Linneberg
- Research Centre for Prevention and Health, Glostrup
Hospital, 2600
Glostrup, Denmark
| | - Amy Luke
- Department of Public Health Sciences, Stritch School of
Medicine, Loyola University Chicago, Maywood, Illinois
61053, USA
| | - Colin A. Mckenzie
- Tropical Metabolism Research Unit, Tropical Medicine Research
Institute, University of the West Indies, Mona
JMAAW15, Jamaica
| | - Aarno Palotie
- Institute for Molecular Medicine Finland, University of
Helsinki, FI-00290
Helsinki, Finland
- Wellcome Trust Sanger Institute, Human Genetics,
Hinxton, Cambridge
CB10 1SA, UK
- Massachusetts General Hospital, Center for Human Genetic
Research, Psychiatric and Neurodevelopmental Genetics Unit,
Boston, Massachusetts
02114, USA
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research,
Section of Metabolic Genetics, Faculty of Health and Medical Sciences,
University of Copenhagen, 2100
Copenhagen, Denmark
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum
München—German Research Center for Environmental
Health, 85764
Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum
München—German Research Center for Environmental
Health, 85764
Neuherberg, Germany
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum
München—German Research Center for Environmental
Health, 85764
Neuherberg, Germany
- Institute of Medical Informatics, Biometry and Epidemiology,
Chair of Genetic Epidemiology, Ludwig-Maximilians-Universität,
81377
Munich, Germany
| | - Bamidele O. Tayo
- Department of Public Health Sciences, Stritch School of
Medicine, Loyola University Chicago, Maywood, Illinois
61053, USA
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, University of Cambridge School of
Clinical Medicine, Institute of Metabolic Science, University of Cambridge,
Cambridge Biomedical Campus, Cambridge
CB2 0QQ, UK
| | - David A. Bennett
- Rush Alzheimer's Disease Center, Rush University
Medical Center, Chicago, Illinois
60612, USA
| | - Lars Bertram
- School of Public Health, Faculty of Medicine, Imperial College
London, London
W6 8RP, UK
- Lübeck Interdisciplinary Platform for Genome
Analytics, Institutes of Neurogenetics and Integrative and Experimental
Genomics, University of Lübeck, 23562
Lübeck, Germany
| | - John Blangero
- South Texas Diabetes and Obesity Institute, University of Texas
Rio Grande Valley, Brownsville, Texas
78520
| | - Matthias Blüher
- University of Leipzig, IFB Adiposity Diseases,
04103
Leipzig, Germany
- University of Leipzig, Department of Medicine,
04103
Leipzig, Germany
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research
Center, Baton Rouge, Los Angeles
70808, USA
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute of
Population Health Sciences and Informatics, University of Edinburgh, Teviot
Place, Edinburgh
EH8 9AG, UK
| | - Nam H. Cho
- Ajou University School of Medicine, Department of Preventive
Medicine, Suwon Kyoung-gi
443-721, Korea
| | - Steven R. Cummings
- California Pacific Medical Center Research Institute,
San Francisco, California
94107, USA
| | - Stefan A. Czerwinski
- Lifespan Health Research Center, Wright State University
Boonshoft School of Medicine, Dayton, Ohio
45420, USA
| | - Ilja Demuth
- The Berlin Aging Study II; Research Group on Geriatrics;
Charité—Universitätsmedizin Berlin,
13347
Berlin, Germany
- Institute of Medical and Human Genetics,
Charité—Universitätsmedizin Berlin,
13353
Berlin, Germany
| | - Rahel Eckardt
- The Berlin Aging Study II; Research Group on Geriatrics;
Charité—Universitätsmedizin Berlin,
13347
Berlin, Germany
| | - Johan G. Eriksson
- National Institute for Health and Welfare,
FI-00271
Helsinki, Finland
- Department of General Practice and Primary Health Care,
University of Helsinki, FI-00014
Helsinki, Finland
- Folkhälsan Research Centre, FI-00290
Helsinki, Finland
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on
Aging, Baltimore, Maryland
21225, USA
| | - Oscar H. Franco
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands
Consortium for Healthy Aging (NCHA), Rotterdam
The Netherlands
- Department of Epidemiology, Erasmus Medical Center,
3015GE
Rotterdam, The Netherlands
| | - Philippe Froguel
- CNRS UMR 8199, F-59019
Lille, France
- European Genomic Institute for Diabetes, 59000
Lille, France
- Université de Lille 2, 59000
Lille, France
| | - Ron T. Gansevoort
- University of Groningen, University Medical Center Groningen,
Department of Medicine, 9700 RB
Groningen, The Netherlands
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research,
Section of Metabolic Genetics, Faculty of Health and Medical Sciences,
University of Copenhagen, 2100
Copenhagen, Denmark
- Faculty of Health Sciences, University of Southern
Denmark, 5000
Odense, Denmark
| | - Tamara B. Harris
- Laboratory of Epidemiology and Population Sciences, National
Institute on Aging, Bethesda, Maryland
20892, USA
| | - Nicholas Hastie
- MRC Human Genetics Unit, Institute of Genetics and Molecular
Medicine, University of Edinburgh, Edinburgh
EH4 2XU, UK
| | - Markku Heliövaara
- National Institute for Health and Welfare,
FI-00271
Helsinki, Finland
| | - Albert Hofman
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands
Consortium for Healthy Aging (NCHA), Rotterdam
The Netherlands
- Department of Epidemiology, Erasmus Medical Center,
3015GE
Rotterdam, The Netherlands
| | - Joanne M. Jordan
- Thurston Arthritis Research Center, University of North
Carolina at Chapel Hill, Chaper Hill, North Carolina
27599-7280, USA
| | - Antti Jula
- National Institute for Health and Welfare,
FI-00271
Helsinki, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University
Hospital, FI-33521
Tampere, Finland
- Department of Clinical Physiology, University of Tampere
School of Medicine, FI-33014
Tampere, Finland
| | - Eero Kajantie
- National Institute for Health and Welfare,
FI-00271
Helsinki, Finland
- Children's Hospital, Helsinki University Hospital and
University of Helsinki, FI-00029
Helsinki, Finland
- Department of Obstetrics and Gynecology, MRC Oulu, Oulu
University Hospital and University of Oulu, FI-90029
Oulu, Finland
| | - Paul B. Knekt
- National Institute for Health and Welfare,
FI-00271
Helsinki, Finland
| | - Seppo Koskinen
- National Institute for Health and Welfare,
FI-00271
Helsinki, Finland
| | - Peter Kovacs
- University of Leipzig, IFB Adiposity Diseases,
04103
Leipzig, Germany
| | - Terho Lehtimäki
- Department of Clinical Chemistry, University of Tampere School
of Medicine, FI-33014
Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories and
School of Medicine, University of Tampere, FI-33520
Tampere, Finland
| | - Lars Lind
- Department of Medical Sciences, Uppsala University,
751 85
Uppsala, Sweden
| | - Yongmei Liu
- Center for Human Genetics, Division of Public Health Sciences,
Wake Forest School of Medicine, Winston-Salem, North
Carolina
27157, USA
| | - Eric S. Orwoll
- Bone & Mineral Unit, Oregon Health & Science
University, Portland, Oregon
97239, USA
| | - Clive Osmond
- MRC Lifecourse Epidemiology Unit, University of Southampton,
Southampton General Hospital, Southampton
SO16 6YD, UK
| | - Markus Perola
- Institute for Molecular Medicine Finland, University of
Helsinki, FI-00290
Helsinki, Finland
- Estonian Genome Center, Univeristy of Tartu,
Tartu, 51010, Estonia
- National Institute for Health and Welfare,
FI-00271
Helsinki, Finland
| | - Louis Pérusse
- Department of Kinesiology, Laval University,
Québec City, Quebec, Canada
G1V 0A6
- Institute of Nutrition and Functional Foods, Laval
University, Québec City, Quebec,
Canada
G1V 0A6
| | - Olli T. Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku
University Hospital, FI-20521
Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular
Medicine, University of Turku, FI-20520
Turku, Finland
| | - Tuomo Rankinen
- Human Genomics Laboratory, Pennington Biomedical Research
Center, Baton Rouge, Los Angeles
70808, USA
| | - D. C. Rao
- Division of Statistical Genomics, Department of Genetics,
Washington University School of Medicine, St Louis,
Missouri
63108, USA
- Division of Biostatistics, Washington University School of
Medicine, St Louis, Missouri
63110, USA
- Department of Psychiatry, Washington University School of
Medicine, St Louis, Missouri
63110, USA
| | - Treva K. Rice
- Division of Biostatistics, Washington University School of
Medicine, St Louis, Missouri
63110, USA
- Department of Psychiatry, Washington University School of
Medicine, St Louis, Missouri
63110, USA
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus Medical Center,
3015GE
Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands
Consortium for Healthy Aging (NCHA), Rotterdam
The Netherlands
- Department of Epidemiology, Erasmus Medical Center,
3015GE
Rotterdam, The Netherlands
| | - Igor Rudan
- Centre for Global Health Research, Usher Institute of
Population Health Sciences and Informatics, University of Edinburgh, Teviot
Place, Edinburgh
EH8 9AG, UK
| | - Veikko Salomaa
- National Institute for Health and Welfare,
FI-00271
Helsinki, Finland
| | - Thorkild I. A. Sørensen
- MRC Integrative Epidemiology Unit, School of Social and
Community Medicine, University of Bristol, Bristol
BS82BN, UKnited
- Novo Nordisk Foundation Center for Basic Metabolic Research,
Section of Metabolic Genetics, Faculty of Health and Medical Sciences,
University of Copenhagen, 2100
Copenhagen, Denmark
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg
Hospital, The Capital Region, 2000
Frederiksberg, Denmark
| | - Michael Stumvoll
- University of Leipzig, IFB Adiposity Diseases,
04103
Leipzig, Germany
- University of Leipzig, Department of Medicine,
04103
Leipzig, Germany
| | - Anke Tönjes
- University of Leipzig, Department of Medicine,
04103
Leipzig, Germany
| | - Bradford Towne
- Lifespan Health Research Center, Wright State University
Boonshoft School of Medicine, Dayton, Ohio
45420, USA
| | - Gregory J. Tranah
- California Pacific Medical Center Research Institute,
San Francisco, California
94107, USA
| | - Angelo Tremblay
- Department of Kinesiology, Laval University,
Québec City, Quebec, Canada
G1V 0A6
| | - André G. Uitterlinden
- Department of Internal Medicine, Erasmus Medical Center,
3015GE
Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands
Consortium for Healthy Aging (NCHA), Rotterdam
The Netherlands
- Department of Epidemiology, Erasmus Medical Center,
3015GE
Rotterdam, The Netherlands
| | - Pim van der Harst
- University of Groningen, University Medical Center Groningen,
Department of Cardiology, 9700 RB
Groningen, The Netherlands
- Durrer Center for Cardiogenetic Research, Interuniversity
Cardiology Institute Netherlands-Netherlands Heart Institute, 3501
DG
Utrecht, The Netherlands
- Department of Genetics, University Medical Center Groningen,
University of Groningen, 9700 RB
Groningen, The Netherlands
| | - Erkki Vartiainen
- National Institute for Health and Welfare,
FI-00271
Helsinki, Finland
| | - Jorma S. Viikari
- Department of Medicine, University of Turku,
FI-20521
Turku, Finland
| | - Veronique Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular
Medicine, University of Edinburgh, Edinburgh
EH4 2XU, UK
| | - Marie-Claude Vohl
- Institute of Nutrition and Functional Foods, Laval
University, Québec City, Quebec,
Canada
G1V 0A6
- School of Nutrition, Laval University,
Québec City, Quebec, Canada
G1V 0A6
| | - Henry Völzke
- Institute for Community Medicine, University Medicine
Greifswald, 17475
Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site
Greifswald, 17475
Greifswald, Germany
- DZD (German Centre for Diabetes Research), partner site
Greifswald, 17475
Greifswald, Germany
| | - Mark Walker
- Program in Medical and Population Genetics, Broad Institute of
Harvard and Massachusetts Institute of Technology, Cambridge,
Massachusetts
02142, USA
- Institute of Cellular Medicine, Newcastle University,
Newcastle
NE2 4HH, UK
| | - Henri Wallaschofski
- Institute of Clinical Chemistry and Laboratory Medicine,
University Medicine Greifswald, 17475
Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site
Greifswald, 17475
Greifswald, Germany
| | - Sarah Wild
- Centre for Population Health Sciences, Usher Institute of
Population Health Sciences and Informatics, University of Edinburgh,
Edinburgh
EH8 9AG, UK
| | - James F. Wilson
- MRC Human Genetics Unit, Institute of Genetics and Molecular
Medicine, University of Edinburgh, Edinburgh
EH4 2XU, UK
- Centre for Global Health Research, Usher Institute of
Population Health Sciences and Informatics, University of Edinburgh, Teviot
Place, Edinburgh
EH8 9AG, UK
| | - Loïc Yengo
- CNRS UMR 8199, F-59019
Lille, France
- European Genomic Institute for Diabetes, 59000
Lille, France
- Université de Lille 2, 59000
Lille, France
| | - D. Timothy Bishop
- Leeds Institute of Cancer and Pathology, Cancer Research UK
Leeds Centre, University of Leeds, Leeds
LS9 7TF, UK
| | - Ingrid B. Borecki
- Division of Statistical Genomics, Department of Genetics,
Washington University School of Medicine, St Louis,
Missouri
63108, USA
- Analytical Genetics Group, Regeneron Genetics Center,
Regeneron Pharmaceuticals, Inc., Tarrytown, New York
10591, USA
| | - John C. Chambers
- Department of Epidemiology and Biostatistics, Imperial College
London, London
W2 1PG, UK
- Ealing Hospital NHS Trust, Middlesex
UB1 3HW, UK
- Imperial College Healthcare NHS Trust, London
W12 0HS, UK
| | - L. Adrienne Cupples
- Department of Biostatistics, Boston University School of Public
Health, Boston, Massachusetts
02118, USA
- National Heart, Lung, and Blood Institute, the Framingham
Heart Study, Framingham, Massachusetts
01702, USA
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus Medical Center,
3000CA
Rotterdam/Zuidholland, The Netherlands
| | - Panos Deloukas
- William Harvey Research Institute, Barts and The London School
of Medicine and Dentistry, Queen Mary University of London,
London
EC1M 6BQ, UK
- Wellcome Trust Sanger Institute, Human Genetics,
Hinxton, Cambridge
CB10 1SA, UK
- Princess Al-Jawhara Al-Brahim Centre of Excellence in Research
of Hereditary Disorders (PACER-HD), King Abdulaziz University,
Jeddah
21589, Saudi Arabia
| | - Ghazaleh Fatemifar
- MRC Integrative Epidemiology Unit, School of Social and
Community Medicine, University of Bristol, Bristol
BS82BN, UKnited
| | - Caroline Fox
- Harvard Medical School, Boston,
Massachusetts
02115, USA
- National Heart, Lung, and Blood Institute, the Framingham
Heart Study, Framingham, Massachusetts
01702, USA
| | - Terrence S. Furey
- Department of Genetics, University of North Carolina,
Chapel Hill, North Carolina
27599, USA
- Department of Biology, University of North Carolina,
Chapel Hill, North Carolina
27599, USA
| | - Lude Franke
- University of Groningen, University Medical Center Groningen,
Department of Cardiology, 9700 RB
Groningen, The Netherlands
- Department of Genetics, University Medical Center Groningen,
University of Groningen, 9700 RB
Groningen, The Netherlands
| | - Jiali Han
- Department of Epidemiology, Richard M. Fairbanks School of
Public Health, Melvin and Bren Simon Cancer Center,
Indianapolis, Indiana
46202, USA
| | - David J. Hunter
- Broad Institute of the Massachusetts Institute of Technology
and Harvard University, Cambridge
2142, USA
- Department of Epidemiology, Harvard School of Public
Health, Boston, Massachusetts
02115, USA
- Channing Division of Network Medicine, Department of Medicine,
Brigham and Women's Hospital and Harvard Medical School,
Boston, Massachusetts
02115, USA
- Department of Nutrition, Harvard School of Public
Health, Boston, Massachusetts
02115, USA
| | - Juha Karjalainen
- Department of Genetics, University Medical Center Groningen,
University of Groningen, 9700 RB
Groningen, The Netherlands
| | - Fredrik Karpe
- Oxford Centre for Diabetes, Endocrinology and Metabolism,
University of Oxford, Churchill Hospital, Oxford
OX3 7LJ, UK
- Oxford NIHR Biomedical Research Centre,
Oxford
OX3 7LJ, UK
| | - Robert C. Kaplan
- Department of Epidemiology and Popualtion Health, Albert
Einstein College of Medicine, Bronx, New York
10461, USA
| | - Jaspal S. Kooner
- Ealing Hospital NHS Trust, Middlesex
UB1 3HW, UK
- Imperial College Healthcare NHS Trust, London
W12 0HS, UK
- National Heart and Lung Institute, Imperial College
London, London
W12 0NN, UK
| | - Mark I. McCarthy
- Wellcome Trust Centre for Human Genetics, University of
Oxford, Oxford
OX3 7BN, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism,
University of Oxford, Churchill Hospital, Oxford
OX3 7LJ, UK
- Oxford NIHR Biomedical Research Centre,
Oxford
OX3 7LJ, UK
| | - Joanne M. Murabito
- Boston University School of Medicine, Department of Medicine,
Section of General Internal Medicine, Boston,
Massachusetts
02118, USA
- NHLBI's and Boston University's Framingham
Heart Study, Framingham, Massachusetts
01702, USA
| | - Andrew P. Morris
- Wellcome Trust Centre for Human Genetics, University of
Oxford, Oxford
OX3 7BN, UK
- Department of Biostatistics, University of Liverpool,
Liverpool
L69 3GA, UK
| | - Julia A. N. Bishop
- Leeds Institute of Cancer and Pathology, Cancer Research UK
Leeds Centre, University of Leeds, Leeds
LS9 7TF, UK
| | - Kari E. North
- Carolina Center for Genome Sciences and Department of
Epidemiology, University of North Carolina at Chapel Hill, Chapel
Hill, North Carolina
27599-7400, USA
| | - Claes Ohlsson
- Centre for Bone and Arthritis Research, Department of Internal
Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy,
University of Gothenburg, 413 45
Gothenburg, Sweden
| | - Ken K. Ong
- MRC Epidemiology Unit, University of Cambridge School of
Clinical Medicine, Institute of Metabolic Science, University of Cambridge,
Cambridge Biomedical Campus, Cambridge
CB2 0QQ, UK
- MRC Unit for Lifelong Health and Ageing at UCL,
London
WC1B 5JU, UK
- Department of Paediatrics, University of Cambridge,
Cambridge
CB2 0QQ, UK
| | - Inga Prokopenko
- Wellcome Trust Centre for Human Genetics, University of
Oxford, Oxford
OX3 7BN, UK
- Department of Genomics of Common Disease, School of Public
Health, Imperial College London, London
W12 0NN, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism,
University of Oxford, Churchill Hospital, Oxford
OX3 7LJ, UK
| | - J. Brent Richards
- Department Epidemiology, Biostatistics and Human Genetics, Lady
Davis Institute, Jewish General Hospital, McGill University,
Montréal, Quebec, Canada
H3T1E2
- Department of Medicine, Lady Davis Institute, Jewish General
Hospital, McGill University, Montréal,
Quebec, Canada
H3T1E2
- Department of Twin Research, King's College
London, London
SE1 1E7, UK
- Division of Endocrinology, Lady Davis Institute, Jewish
General Hospital, McGill University, Montréal,
Quebec, Canada
H3T1E2
| | - Eric E. Schadt
- Icahn Institute for Genomics and Multiscale Biology, Icahn
School of Medicine at Mount Sinai, New York, New York
10029, USA
- Department of Genetics and Genomic Sciences, Icahn School of
Medicine at Mount Sinai, New York, New York
10029, USA
| | - Tim D. Spector
- Department of Twin Research and Genetic Epidemiology,
King's College London, London
SE1 7EH, UK
| | - Elisabeth Widén
- Institute for Molecular Medicine Finland, University of
Helsinki, FI-00290
Helsinki, Finland
| | - Cristen J. Willer
- Department of Computational Medicine and Bioinformatics,
University of Michigan, Ann Arbor, Michigan
48109, USA
- Department of Human Genetics, University of Michigan,
Ann Arbor, Michigan
48109, USA
- Department of Internal Medicine, Division of Cardiovascular
Medicine, University of Michigan, Ann Arbor, Michigan
48109, USA
| | - Jian Yang
- Queensland Brain Institute, The University of Queensland,
Brisbane
4072, Australia
| | - Erik Ingelsson
- Science for Life Laboratory, Uppsala University, 750
85
Uppsala, Sweden
- Department of Medical Sciences, Molecular Epidemiology, Uppsala
University, 751 85
Uppsala, Sweden
- Department of Medicine, Division of Cardiovascular Medicine,
Stanford University School of Medicine, Stanford,
California
94305, USA
| | - Karen L. Mohlke
- Department of Genetics, University of North Carolina,
Chapel Hill, North Carolina
27599, USA
| | - Joel N. Hirschhorn
- Broad Institute of the Massachusetts Institute of Technology
and Harvard University, Cambridge
2142, USA
- Divisions of Endocrinology and Genetics and Center for Basic
and Translational Obesity Research, Boston Children's Hospital,
Boston, Massachusetts
02115, USA
- Department of Genetics, Harvard Medical School,
Boston, Massachusetts
02115, USA
| | - John Andrew Pospisilik
- Department of Epigenetics, Max Planck Institute of
Immunobiology and Epigenetics, D-76108
Freiburg, Germany
| | - M. Carola Zillikens
- Department of Internal Medicine, Erasmus Medical Center,
3015GE
Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands
Consortium for Healthy Aging (NCHA), Rotterdam
The Netherlands
| | - Cecilia Lindgren
- Wellcome Trust Centre for Human Genetics, University of
Oxford, Oxford
OX3 7BN, UK
- Broad Institute of the Massachusetts Institute of Technology
and Harvard University, Cambridge
2142, USA
- The Big Data Institute, University of Oxford,
Oxford
OX3 7LJ, UK
| | - Tuomas Oskari Kilpeläinen
- MRC Epidemiology Unit, University of Cambridge School of
Clinical Medicine, Institute of Metabolic Science, University of Cambridge,
Cambridge Biomedical Campus, Cambridge
CB2 0QQ, UK
- Novo Nordisk Foundation Center for Basic Metabolic Research,
Section of Metabolic Genetics, Faculty of Health and Medical Sciences,
University of Copenhagen, 2100
Copenhagen, Denmark
| | - Ruth J. F. Loos
- The Charles Bronfman Institute for Personalized Medicine, The
Icahn School of Medicine at Mount Sinai, New York, New
York
10029, USA
- The Department of Preventive Medicine, The Icahn School of
Medicine at Mount Sinai, New York, New York
10029, USA
- MRC Epidemiology Unit, University of Cambridge School of
Clinical Medicine, Institute of Metabolic Science, University of Cambridge,
Cambridge Biomedical Campus, Cambridge
CB2 0QQ, UK
- The Genetics of Obesity and Related Metabolic Traits Program,
The Icahn School of Medicine at Mount Sinai, New York, New
York, 10029, USA
- The Mindich Child Health and Development Institute, The Icahn
School of Medicine at Mount Sinai, New York, New York
10029, USA
| |
Collapse
|
22
|
Zhang W, Liu H, Liu Z, Zhu D, Amos CI, Fang S, Lee JE, Wei Q. Functional Variants in Notch Pathway Genes NCOR2, NCSTN, and MAML2 Predict Survival of Patients with Cutaneous Melanoma. Cancer Epidemiol Biomarkers Prev 2015; 24:1101-10. [PMID: 25953768 PMCID: PMC4573541 DOI: 10.1158/1055-9965.epi-14-1380-t] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Accepted: 04/05/2015] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND The Notch signaling pathway is constitutively activated in human cutaneous melanoma to promote growth and aggressive metastatic potential of primary melanoma cells. Therefore, genetic variants in Notch pathway genes may affect the prognosis of cutaneous melanoma patients. METHODS We identified 6,256 SNPs in 48 Notch genes in 858 cutaneous melanoma patients included in a previously published cutaneous melanoma genome-wide association study dataset. Multivariate and stepwise Cox proportional hazards regression and false-positive report probability corrections were performed to evaluate associations between putative functional SNPs and cutaneous melanoma disease-specific survival. Receiver operating characteristic curve was constructed, and area under the curve was used to assess the classification performance of the model. RESULTS Four putative functional SNPs of Notch pathway genes had independent and joint predictive roles in survival of cutaneous melanoma patients. The most significant variant was NCOR2 rs2342924 T>C (adjusted HR, 2.71; 95% confidence interval, 1.73-4.23; Ptrend = 9.62 × 10(-7)), followed by NCSTN rs1124379 G>A, NCOR2 rs10846684 G>A, and MAML2 rs7953425 G>A (Ptrend = 0.005, 0.005, and 0.013, respectively). The receiver operating characteristic analysis revealed that area under the curve was significantly increased after adding the combined unfavorable genotype score to the model containing the known clinicopathologic factors. CONCLUSIONS Our results suggest that SNPs in Notch pathway genes may be predictors of cutaneous melanoma disease-specific survival. IMPACT Our discovery offers a translational potential for using genetic variants in Notch pathway genes as a genotype score of biomarkers for developing an improved prognostic assessment and personalized management of cutaneous melanoma patients.
Collapse
Affiliation(s)
- Weikang Zhang
- Department of Medicine, Duke University School of Medicine and Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina. Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongliang Liu
- Department of Medicine, Duke University School of Medicine and Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina
| | - Zhensheng Liu
- Department of Medicine, Duke University School of Medicine and Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina
| | - Dakai Zhu
- Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire
| | - Christopher I Amos
- Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire
| | - Shenying Fang
- Department of Surgical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas
| | - Jeffrey E Lee
- Department of Surgical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas
| | - Qingyi Wei
- Department of Medicine, Duke University School of Medicine and Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina.
| |
Collapse
|
23
|
Zhang M, Qureshi AA, Fortner RT, Hankinson SE, Wei Q, Wang LE, Eliassen AH, Willett WC, Hunter DJ, Han J. Teenage acne and cancer risk in US women: A prospective cohort study. Cancer 2015; 121:1681-7. [PMID: 25572604 PMCID: PMC4424088 DOI: 10.1002/cncr.29216] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2014] [Revised: 10/02/2014] [Accepted: 10/21/2014] [Indexed: 12/16/2022]
Abstract
BACKGROUND Acne reflects hormone imbalance and is a key component of several systemic diseases. We hypothesized that diagnosis of acne as a teenager might predict subsequent risk of hormone-related cancers. METHODS We followed 99,128 female nurses in the Nurses' Health Study II cohort for 20 years (1989-2009) and used Cox proportional hazards models to estimate the hazard ratios (HRs) of 8 specific cancers (breast, thyroid, colorectal, ovarian, cervical, and endometrial cancers, melanoma, and non-Hodgkin lymphoma) for women with a history of severe teenage acne. RESULTS After thoroughly adjusting for the previously known risk factors for each cancer, we found that among women with a history of severe teenage acne, the relative risk increased, with a multivariable-adjusted HR of 1.44 (95% confidence interval [CI], 1.03-2.01) for melanoma. We replicated this association in an independent melanoma case-control study of 930 cases and 1026 controls (multivariable-adjusted odds ratio, 1.27; 95% CI, 1.03-1.56). We also found that in both studies the individuals with teenage acne were more likely to have moles (52.7% vs 50.1%, P < .001 in the cohort study; and 55.2% vs 45.1%, P = .004 in the case-control study). CONCLUSIONS Our findings suggest that a history of teenage acne might be a novel risk factor for melanoma independent from the known factors, which supports a need for continued investigation of these relationships.
Collapse
Affiliation(s)
- Mingfeng Zhang
- Department of Dermatology, Brigham and Women’s Hospital, and Harvard Medical School, Boston, MA, USA
| | - Abrar A. Qureshi
- Department of Dermatology, Rhode Island Hospital, Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Renée T. Fortner
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, and Harvard Medical School, Boston, MA, USA
| | - Susan E. Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, and Harvard Medical School, Boston, MA, USA
- Department of Public Health, School of Public Health and Health Sciences, University of Massachusetts Amherst, MA, USA
| | - Qingyi Wei
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
| | - Li-E Wang
- Department of Epidemiology, the University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - A. Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Walter C. Willett
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
| | - David J. Hunter
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
| | - Jiali Han
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA
- Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, IN, USA
- Department of Dermatology, School of Medicine, Indiana University, Indianapolis, IN, USA
| |
Collapse
|
24
|
Zhu D, Xie H, Li H, Cai P, Zhu H, Xu C, Chen P, Sharan A, Xia Y, Tang W. Nidogen-1 is a common target of microRNAs MiR-192/215 in the pathogenesis of Hirschsprung's disease. J Neurochem 2015; 134:39-46. [PMID: 25857602 DOI: 10.1111/jnc.13118] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2015] [Revised: 03/22/2015] [Accepted: 04/06/2015] [Indexed: 01/12/2023]
Abstract
Recent studies have emphasized the important role of microRNA (miRNA) clusters and common target genes in disease progression. Despite the known involvement of the miR-192/215 family in many human diseases, its biological role in Hirschsprung disease (HSCR) remains undefined. In this study, we explored the role of the miR-192/215 family in the pathogenesis of HSCR. Quantitative real-time PCR and western blotting measured relative expression levels of miRNAs, mRNAs, and proteins in 80 HSCR patients and 77 normal colon tissues. Targets were evaluated by dual-luciferase reporter assays, and the functional effects of miR-192/215 on human 293T and SH-SY5Y cells were detected by the Transwell assay, CCK8 assay and flow cytometry. MiR-192/215 was significantly down-regulated in HSCR tissue samples, and their knockdown inhibited cell migration and proliferation in the human 293T and SH-SY5Y cell lines. Nidogen 1 (NID1) was confirmed as a common target gene of miR-192/215 by dual-luciferase reporter gene assay and its expression was inversely correlated with that of miR-192/215 in tissue samples and cell lines. Silencing of NID1 could rescue the extent of the suppressing effects by miR-192/215 inhibitor. The down-regulation of miR-192/215 may contribute to HSCR development by targeting NID1. We proposed the following cascade for the proposed mechanism of miR-192/215 in the pathogenesis of Hirschsprung disease (HSCR) by targeting Nidogen 1 (NID1). Aberrant expression of miR-192/215 inhibits cell migration and cell proliferation via NID1. We think the miR-192/miR-215/NID1 signaling pathway may play an important role in the pathogenesis of HSCR.
Collapse
Affiliation(s)
- Dongmei Zhu
- Department of Pediatric Surgery, Nanjing Children Hospital Affiliated Nanjing Medical University, Nanjing, China.,State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Hua Xie
- Department of Pediatric Surgery, Nanjing Children Hospital Affiliated Nanjing Medical University, Nanjing, China.,State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Hongxing Li
- Department of Pediatric Surgery, Nanjing Children Hospital Affiliated Nanjing Medical University, Nanjing, China.,State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Peng Cai
- Department of Pediatric Surgery, Nanjing Children Hospital Affiliated Nanjing Medical University, Nanjing, China.,State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Hairong Zhu
- Department of Pediatric Surgery, Nanjing Children Hospital Affiliated Nanjing Medical University, Nanjing, China.,State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Chao Xu
- Department of Pediatric Surgery, Nanjing Children Hospital Affiliated Nanjing Medical University, Nanjing, China.,State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Pingfa Chen
- Department of Pediatric Surgery, Nanjing Children Hospital Affiliated Nanjing Medical University, Nanjing, China.,State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Ankur Sharan
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing, China.,Key Laboratory of Modern Toxicology (Nanjing Medical University), Ministry of Education, China
| | - Yankai Xia
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing, China.,Key Laboratory of Modern Toxicology (Nanjing Medical University), Ministry of Education, China
| | - Weibing Tang
- Department of Pediatric Surgery, Nanjing Children Hospital Affiliated Nanjing Medical University, Nanjing, China.,State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing, China
| |
Collapse
|
25
|
Mann MB, Black MA, Jones DJ, Ward JM, Yew CCK, Newberg JY, Dupuy AJ, Rust AG, Bosenberg MW, McMahon M, Print CG, Copeland NG, Jenkins NA. Transposon mutagenesis identifies genetic drivers of Braf(V600E) melanoma. Nat Genet 2015; 47:486-95. [PMID: 25848750 PMCID: PMC4844184 DOI: 10.1038/ng.3275] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2014] [Accepted: 03/16/2015] [Indexed: 02/06/2023]
Abstract
Although nearly half of human melanomas harbor oncogenic BRAF(V600E) mutations, the genetic events that cooperate with these mutations to drive melanogenesis are still largely unknown. Here we show that Sleeping Beauty (SB) transposon-mediated mutagenesis drives melanoma progression in Braf(V600E) mutant mice and identify 1,232 recurrently mutated candidate cancer genes (CCGs) from 70 SB-driven melanomas. CCGs are enriched in Wnt, PI3K, MAPK and netrin signaling pathway components and are more highly connected to one another than predicted by chance, indicating that SB targets cooperative genetic networks in melanoma. Human orthologs of >500 CCGs are enriched for mutations in human melanoma or showed statistically significant clinical associations between RNA abundance and survival of patients with metastatic melanoma. We also functionally validate CEP350 as a new tumor-suppressor gene in human melanoma. SB mutagenesis has thus helped to catalog the cooperative molecular mechanisms driving BRAF(V600E) melanoma and discover new genes with potential clinical importance in human melanoma.
Collapse
Affiliation(s)
- Michael B Mann
- 1] Cancer Research Program, Houston Methodist Research Institute, Houston, Texas, USA. [2] Institute of Molecular and Cell Biology, Singapore
| | - Michael A Black
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Devin J Jones
- Cancer Research Program, Houston Methodist Research Institute, Houston, Texas, USA
| | | | | | - Justin Y Newberg
- Cancer Research Program, Houston Methodist Research Institute, Houston, Texas, USA
| | - Adam J Dupuy
- Department of Anatomy and Cell Biology, Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
| | - Alistair G Rust
- Experimental Cancer Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Marcus W Bosenberg
- 1] Department of Dermatology, Yale University School of Medicine, New Haven, Connecticut, USA. [2] Department of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Martin McMahon
- 1] Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA. [2] Department of Cell and Molecular Pharmacology, University of California, San Francisco, San Francisco, California, USA
| | - Cristin G Print
- 1] Department of Molecular Medicine and Pathology, University of Auckland, Auckland, New Zealand. [2] New Zealand Bioinformatics Institute, University of Auckland, Auckland, New Zealand
| | - Neal G Copeland
- 1] Cancer Research Program, Houston Methodist Research Institute, Houston, Texas, USA. [2] Institute of Molecular and Cell Biology, Singapore
| | - Nancy A Jenkins
- 1] Cancer Research Program, Houston Methodist Research Institute, Houston, Texas, USA. [2] Institute of Molecular and Cell Biology, Singapore
| |
Collapse
|
26
|
Gibbs DC, Orlow I, Kanetsky PA, Luo L, Kricker A, Armstrong BK, Anton-Culver H, Gruber SB, Marrett LD, Gallagher RP, Zanetti R, Rosso S, Dwyer T, Sharma A, La Pilla E, From L, Busam KJ, Cust AE, Ollila DW, Begg CB, Berwick M, Thomas NE. Inherited genetic variants associated with occurrence of multiple primary melanoma. Cancer Epidemiol Biomarkers Prev 2015; 24:992-7. [PMID: 25837821 DOI: 10.1158/1055-9965.epi-14-1426] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2014] [Accepted: 03/13/2015] [Indexed: 01/25/2023] Open
Abstract
Recent studies, including genome-wide association studies, have identified several putative low-penetrance susceptibility loci for melanoma. We sought to determine their generalizability to genetic predisposition for multiple primary melanoma in the international population-based Genes, Environment, and Melanoma (GEM) Study. GEM is a case-control study of 1,206 incident cases of multiple primary melanoma and 2,469 incident first primary melanoma participants as the control group. We investigated the odds of developing multiple primary melanoma for 47 SNPs from 21 distinct genetic regions previously reported to be associated with melanoma. ORs and 95% confidence intervals were determined using logistic regression models adjusted for baseline features (age, sex, age by sex interaction, and study center). We investigated univariable models and built multivariable models to assess independent effects of SNPs. Eleven SNPs in 6 gene neighborhoods (TERT/CLPTM1L, TYRP1, MTAP, TYR, NCOA6, and MX2) and a PARP1 haplotype were associated with multiple primary melanoma. In a multivariable model that included only the most statistically significant findings from univariable modeling and adjusted for pigmentary phenotype, back nevi, and baseline features, we found TERT/CLPTM1L rs401681 (P = 0.004), TYRP1 rs2733832 (P = 0.006), MTAP rs1335510 (P = 0.0005), TYR rs10830253 (P = 0.003), and MX2 rs45430 (P = 0.008) to be significantly associated with multiple primary melanoma, while NCOA6 rs4911442 approached significance (P = 0.06). The GEM Study provides additional evidence for the relevance of these genetic regions to melanoma risk and estimates the magnitude of the observed genetic effect on development of subsequent primary melanoma.
Collapse
Affiliation(s)
- David C Gibbs
- Departments of Dermatology and Surgery, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Irene Orlow
- Departments of Epidemiology and Biostatistics and Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Peter A Kanetsky
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Li Luo
- Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, New Mexico
| | - Anne Kricker
- Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - Bruce K Armstrong
- Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - Hoda Anton-Culver
- Department of Epidemiology, University of California, Irvine, California
| | - Stephen B Gruber
- USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | | | | | - Roberto Zanetti
- Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy
| | - Stefano Rosso
- Piedmont Cancer Registry, Centre for Epidemiology and Prevention in Oncology in Piedmont, Turin, Italy
| | - Terence Dwyer
- The George Institute for Global Health, Oxford Martin School & Nuffield Department of Population Health, Oxford University, United Kingdom
| | - Ajay Sharma
- Departments of Epidemiology and Biostatistics and Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Emily La Pilla
- Departments of Epidemiology and Biostatistics and Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Lynn From
- Women's College Hospital, Toronto, Ontario, Canada
| | - Klaus J Busam
- Departments of Epidemiology and Biostatistics and Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Anne E Cust
- Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - David W Ollila
- Departments of Dermatology and Surgery, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Colin B Begg
- Departments of Epidemiology and Biostatistics and Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marianne Berwick
- Department of Internal Medicine, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, New Mexico
| | - Nancy E Thomas
- Departments of Dermatology and Surgery, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina.
| | | |
Collapse
|
27
|
Orlow I, Satagopan JM, Berwick M, Enriquez HL, White KAM, Cheung K, Dusza SW, Oliveria SA, Marchetti MA, Scope A, Marghoob AA, Halpern AC. Genetic factors associated with naevus count and dermoscopic patterns: preliminary results from the Study of Nevi in Children (SONIC). Br J Dermatol 2015; 172:1081-9. [PMID: 25307738 PMCID: PMC4382400 DOI: 10.1111/bjd.13467] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/01/2014] [Indexed: 01/09/2023]
Abstract
BACKGROUND Melanocytic naevi are an important risk factor for melanoma. Naevi with distinct dermoscopic patterns can differ in size, distribution and host pigmentation characteristics. OBJECTIVES We examined MC1R and 85 other candidate loci in a cohort of children to test the hypothesis that the development and dermoscopic type of naevi are modulated by genetic variants. METHODS Buccal DNAs were obtained from a cohort of 353 fifth graders (mean age 10·4 years). Polymorphisms were chosen based on a known or anticipated role in naevi and melanoma. Associations between single-nucleotide polymorphisms (SNPs) and baseline naevus count were determined by multivariate regression adjusting for sex, race/ethnicity and sun sensitivity. Dermoscopic images were available for 853 naevi from 290 children. Associations between SNPs and dermoscopic patterns were determined by polytomous regression. RESULTS Four SNPs were significantly associated with increasing (IRF4) or decreasing (PARP1, CDK6 and PLA2G6) naevus count in multivariate shrinkage analyses with all SNPs included in the model; IRF4 rs12203952 showed the strongest association with log naevus count (relative risk 1·56, P < 0·001). Using homogeneous naevi as the reference, IRF4 rs12203952 and four other SNPs in TERT, CDKN1B, MTAP and PARP1 were associated with either globular or reticular dermoscopic patterns (P < 0·05). CONCLUSIONS Our results provide evidence that subsets of naevi defined by dermoscopic patterns differ in their associations with germline genotypes and support the hypothesis that dermoscopically defined subsets of naevi are biologically distinct. These results require confirmation in larger cohorts. If confirmed, these findings will improve the current knowledge of naevogenesis and assist in the identification of individuals with high-risk phenotypes.
Collapse
Affiliation(s)
- I Orlow
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, U.S.A
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
28
|
Chen R, Zhang Z, Xue Z, Wang L, Fu M, Lu Y, Bai L, Zhang P, Fan Z. Protein-protein interaction network of gene expression in the hydrocortisone-treated keloid. Int J Dermatol 2015; 54:549-54. [PMID: 25660986 DOI: 10.1111/ijd.12743] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
OBJECTIVES In order to explore the molecular mechanism of hydrocortisone in keloid tissue, the gene expression profiles of keloid samples treated with hydrocortisone were subjected to bioinformatics analysis. METHODS Firstly, the gene expression profiles (GSE7890) of five samples of keloid treated with hydrocortisone and five untreated keloid samples were downloaded from the Gene Expression Omnibus (GEO) database. Secondly, data were preprocessed using packages in R language and differentially expressed genes (DEGs) were screened using a significance analysis of microarrays (SAM) protocol. Thirdly, the DEGs were subjected to gene ontology (GO) function and KEGG pathway enrichment analysis. Finally, the interactions of DEGs in samples of keloid treated with hydrocortisone were explored in a human protein-protein interaction (PPI) network, and sub-modules of the DEGs interaction network were analyzed using Cytoscape software. RESULTS Based on the analysis, 572 DEGs in the hydrocortisone-treated samples were screened; most of these were involved in the signal transduction and cell cycle. Furthermore, three critical genes in the module, including COL1A1, NID1, and PRELP, were screened in the PPI network analysis. CONCLUSIONS These findings enhance understanding of the pathogenesis of the keloid and provide references for keloid therapy.
Collapse
Affiliation(s)
- Rui Chen
- Department of Plastic and Reconstructive Surgery, Ren Ji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | | | | | | | | | | | | | | | | |
Collapse
|
29
|
Lindström S, Thompson DJ, Paterson AD, Li J, Gierach GL, Scott C, Stone J, Douglas JA, dos-Santos-Silva I, Fernandez-Navarro P, Verghase J, Smith P, Brown J, Luben R, Wareham NJ, Loos RJF, Heit JA, Pankratz VS, Norman A, Goode EL, Cunningham JM, deAndrade M, Vierkant RA, Czene K, Fasching PA, Baglietto L, Southey MC, Giles GG, Shah KP, Chan HP, Helvie MA, Beck AH, Knoblauch NW, Hazra A, Hunter DJ, Kraft P, Pollan M, Figueroa JD, Couch FJ, Hopper JL, Hall P, Easton DF, Boyd NF, Vachon CM, Tamimi RM. Genome-wide association study identifies multiple loci associated with both mammographic density and breast cancer risk. Nat Commun 2014; 5:5303. [PMID: 25342443 PMCID: PMC4320806 DOI: 10.1038/ncomms6303] [Citation(s) in RCA: 105] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2014] [Accepted: 09/17/2014] [Indexed: 12/29/2022] Open
Abstract
Mammographic density reflects the amount of stromal and epithelial tissues in relation to adipose tissue in the breast and is a strong risk factor for breast cancer. Here we report the results from meta-analysis of genome-wide association studies (GWAS) of three mammographic density phenotypes: dense area, non-dense area and percent density in up to 7,916 women in stage 1 and an additional 10,379 women in stage 2. We identify genome-wide significant (P<5 × 10(-8)) loci for dense area (AREG, ESR1, ZNF365, LSP1/TNNT3, IGF1, TMEM184B and SGSM3/MKL1), non-dense area (8p11.23) and percent density (PRDM6, 8p11.23 and TMEM184B). Four of these regions are known breast cancer susceptibility loci, and four additional regions were found to be associated with breast cancer (P<0.05) in a large meta-analysis. These results provide further evidence of a shared genetic basis between mammographic density and breast cancer and illustrate the power of studying intermediate quantitative phenotypes to identify putative disease-susceptibility loci.
Collapse
Affiliation(s)
- Sara Lindström
- 1] Program in Genetic Epidemiology and Statistical Genetics, Harvard School Of Public Health, Boston, Massachusetts 02115, USA [2] Department of Epidemiology, Harvard School Of Public Health, Boston, Massachusetts 02115, USA
| | - Deborah J Thompson
- 1] Centre for Genetic Epidemiology, University of Cambridge, Cambridge CB1 8RN, UK [2] Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Andrew D Paterson
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada M5G 1X8
| | - Jingmei Li
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Gretchen L Gierach
- Hormonal and Reproductive Epidemiology Branch, National Cancer Institute, Bethesda, Maryland 20850, USA
| | - Christopher Scott
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Jennifer Stone
- Centre for Genetic Origins of Health and Disease, University of Western Australia, Perth, Western Australia 6009, Australia
| | - Julie A Douglas
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA
| | - Isabel dos-Santos-Silva
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Pablo Fernandez-Navarro
- 1] Cancer and Environmental Epidemiology Unit, National Center for Epidemiology, Carlos III Institute of Health, Madrid 28029, Spain [2] Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid 28029, Spain
| | - Jajini Verghase
- 1] Centre for Genetic Epidemiology, University of Cambridge, Cambridge CB1 8RN, UK [2] Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK [3] Plastic Surgery Unit, Royal Free Hospital, London NW3 2QG, UK
| | - Paula Smith
- 1] Centre for Genetic Epidemiology, University of Cambridge, Cambridge CB1 8RN, UK [2] Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Judith Brown
- 1] Centre for Genetic Epidemiology, University of Cambridge, Cambridge CB1 8RN, UK [2] Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Robert Luben
- Centre for Genetic Epidemiology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Nicholas J Wareham
- Medical Research Council (MRC) Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB1 8RN, UK
| | - Ruth J F Loos
- 1] Medical Research Council (MRC) Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB1 8RN, UK [2] The Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, The Mindich Child Health and Development Institute, New York, New York 10029, USA
| | - John A Heit
- Division of Cardiovascular Disease, Department of Medicine, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - V Shane Pankratz
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Aaron Norman
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Ellen L Goode
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Julie M Cunningham
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Mariza deAndrade
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Robert A Vierkant
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Peter A Fasching
- 1] Department of Gynecology and Obstetrics, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, 910 54 Erlangen, Germany [2] Division Hematology/Oncology, Department of Medicine, University of California at Los Angeles, David Geffen School of Medicine, Los Angeles, California 90024, USA
| | - Laura Baglietto
- 1] Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria 3004, Australia [2] Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Melissa C Southey
- Department of Pathology, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Graham G Giles
- 1] Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria 3004, Australia [2] Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Kaanan P Shah
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA
| | - Heang-Ping Chan
- Department of Radiology, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA
| | - Mark A Helvie
- Department of Radiology, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA
| | - Andrew H Beck
- Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Nicholas W Knoblauch
- Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Aditi Hazra
- 1] Program in Genetic Epidemiology and Statistical Genetics, Harvard School Of Public Health, Boston, Massachusetts 02115, USA [2] Department of Epidemiology, Harvard School Of Public Health, Boston, Massachusetts 02115, USA [3] Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA
| | - David J Hunter
- 1] Program in Genetic Epidemiology and Statistical Genetics, Harvard School Of Public Health, Boston, Massachusetts 02115, USA [2] Department of Epidemiology, Harvard School Of Public Health, Boston, Massachusetts 02115, USA [3] Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA
| | - Peter Kraft
- 1] Program in Genetic Epidemiology and Statistical Genetics, Harvard School Of Public Health, Boston, Massachusetts 02115, USA [2] Department of Epidemiology, Harvard School Of Public Health, Boston, Massachusetts 02115, USA [3] Department of Biostatistics, Harvard School Of Public Health, Boston, Massachusetts 02115, USA
| | - Marina Pollan
- 1] Cancer and Environmental Epidemiology Unit, National Center for Epidemiology, Carlos III Institute of Health, Madrid 28029, Spain [2] Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid 28029, Spain
| | - Jonine D Figueroa
- Hormonal and Reproductive Epidemiology Branch, National Cancer Institute, Bethesda, Maryland 20850, USA
| | - Fergus J Couch
- 1] Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA [2] Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Douglas F Easton
- 1] Centre for Genetic Epidemiology, University of Cambridge, Cambridge CB1 8RN, UK [2] Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK [3] Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Norman F Boyd
- Campbell Family Institute for Breast Cancer Research, Ontario Cancer Institute, Toronto, Ontario, Canada M5G 2M9
| | - Celine M Vachon
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Rulla M Tamimi
- 1] Program in Genetic Epidemiology and Statistical Genetics, Harvard School Of Public Health, Boston, Massachusetts 02115, USA [2] Department of Epidemiology, Harvard School Of Public Health, Boston, Massachusetts 02115, USA [3] Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA
| |
Collapse
|
30
|
Song F, Amos CI, Lee JE, Lian CG, Fang S, Liu H, MacGregor S, Iles MM, Law MH, Lindeman NI, Montgomery GW, Duffy DL, Cust AE, Jenkins MA, Whiteman DC, Kefford RF, Giles GG, Armstrong BK, Aitken JF, Hopper JL, Brown KM, Martin NG, Mann GJ, Bishop DT, Bishop JAN, Kraft P, Qureshi AA, Kanetsky PA, Hayward NK, Hunter DJ, Wei Q, Han J. Identification of a melanoma susceptibility locus and somatic mutation in TET2. Carcinogenesis 2014; 35:2097-101. [PMID: 24980573 DOI: 10.1093/carcin/bgu140] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Although genetic studies have reported a number of loci associated with melanoma risk, the complex genetic architecture of the disease is not yet fully understood. We sought to identify common genetic variants associated with melanoma risk in a genome-wide association study (GWAS) of 2298 cases and 6654 controls. Thirteen of 15 known loci were replicated with nominal significance. A total of 69 single-nucleotide polymorphisms (SNPs) were selected for in silico replication in two independent melanoma GWAS datasets (a total of 5149 cases and 12 795 controls). Seven novel loci were nominally significantly associated with melanoma risk. These seven SNPs were further genotyped in 234 melanoma cases and 238 controls. The SNP rs4698934 was nominally significantly associated with melanoma risk. The combined odds ratio per T allele = 1.18; 95% confidence interval (1.10-1.25); combined P = 7.70 × 10(-) (7). This SNP is located in the intron of the TET2 gene on chromosome 4q24. In addition, a novel somatic mutation of TET2 was identified by next-generation sequencing in 1 of 22 sporadic melanoma cases. TET2 encodes a member of TET family enzymes that oxidizes 5-methylcytosine to 5-hydroxymethylcytosine (5hmC). It is a putative epigenetic biomarker of melanoma as we previously reported, with observation of reduced TET2 transcriptional expression. This study is the first to implicate TET2 genetic variation and mutation in melanoma.
Collapse
Affiliation(s)
- Fengju Song
- Department of Epidemiology and Biostatistics, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, P.R. China
| | - Christopher I Amos
- Department of Community and Family Medicine, Center for Genomic Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03755, USA
| | - Jeffrey E Lee
- Department of Surgical Oncology, MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Christine G Lian
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Shenying Fang
- Department of Surgical Oncology, MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Hongliang Liu
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA
| | - Stuart MacGregor
- Queensland Institute of Medical Research, Brisbane, Queensland 4029, Australia
| | - Mark M Iles
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds LS9 7TF, UK
| | - Matthew H Law
- Queensland Institute of Medical Research, Brisbane, Queensland 4029, Australia
| | - Neal I Lindeman
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Grant W Montgomery
- Queensland Institute of Medical Research, Brisbane, Queensland 4029, Australia
| | - David L Duffy
- Queensland Institute of Medical Research, Brisbane, Queensland 4029, Australia
| | - Anne E Cust
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population Health, University of Melbourne, Melbourne, Victoria 3052, Australia, Cancer Epidemiology and Services Research, Sydney School of Public Health, University of Sydney, Sydney, New South Wales 2006, Australia
| | - Mark A Jenkins
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population Health, University of Melbourne, Melbourne, Victoria 3052, Australia
| | - David C Whiteman
- Queensland Institute of Medical Research, Brisbane, Queensland 4029, Australia
| | - Richard F Kefford
- Westmead Institute of Cancer Research, University of Sydney at Westmead Millennium Institute and Melanoma Institute Australia, Westmead, New South Wales 2145, Australia
| | - Graham G Giles
- Cancer Epidemiology Centre, The Cancer Council Victoria, Carlton, Victoria 3053, Australia
| | - Bruce K Armstrong
- Cancer Epidemiology and Services Research, Sydney School of Public Health, University of Sydney, Sydney, New South Wales 2006, Australia
| | - Joanne F Aitken
- Viertel Centre for Research in Cancer Control, Cancer Council Queensland, Brisbane, Queensland 4004, Australia
| | - John L Hopper
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population Health, University of Melbourne, Melbourne, Victoria 3052, Australia
| | - Kevin M Brown
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20852, USA
| | - Nicholas G Martin
- Queensland Institute of Medical Research, Brisbane, Queensland 4029, Australia
| | - Graham J Mann
- Westmead Institute of Cancer Research, University of Sydney at Westmead Millennium Institute and Melanoma Institute Australia, Westmead, New South Wales 2145, Australia
| | - D Timothy Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds LS9 7TF, UK
| | | | | | - Peter Kraft
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
| | - Abrar A Qureshi
- Channing Division of Network Medicine and Department of Dermatology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Peter A Kanetsky
- Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Nicholas K Hayward
- Oncogenomics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland 4029, Australia
| | - David J Hunter
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
| | - Qingyi Wei
- Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA,
| | - Jiali Han
- Department of Epidemiology and Biostatistics, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, P.R. China, Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA, Channing Division of Network Medicine and Department of Dermatology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA, Department of Epidemiology, Fairbanks School of Public Health, Indiana University, Indianapolis, IN 46202, USA, Simon Cancer Center, Indiana University, Indianapolis, IN 46202, USA and Department of Dermatology, School of Medicine, Indiana University, Indianapolis, IN 46202, USA
| |
Collapse
|
31
|
Zhang M, Zhang X, Qureshi AA, Eliassen AH, Hankinson SE, Han J. Association between cutaneous nevi and breast cancer in the Nurses' Health Study: a prospective cohort study. PLoS Med 2014; 11:e1001659. [PMID: 24915186 PMCID: PMC4051600 DOI: 10.1371/journal.pmed.1001659] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2013] [Accepted: 04/30/2014] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Cutaneous nevi are suggested to be hormone-related. We hypothesized that the number of cutaneous nevi might be a phenotypic marker of plasma hormone levels and predict subsequent breast cancer risk. METHODS AND FINDINGS We followed 74,523 female nurses for 24 y (1986-2010) in the Nurses' Health Study and estimate the relative risk of breast cancer according to the number of cutaneous nevi. We adjusted for the known breast cancer risk factors in the models. During follow-up, a total of 5,483 invasive breast cancer cases were diagnosed. Compared to women with no nevi, women with more cutaneous nevi had higher risks of breast cancer (multivariable-adjusted hazard ratio, 1.04, 95% confidence interval [CI], 0.98-1.10 for 1-5 nevi; 1.15, 95% CI, 1.00-1.31 for 6-14 nevi, and 1.35, 95% CI, 1.04-1.74 for 15 or more nevi; p for continuous trend = 0.003). Over 24 y of follow-up, the absolute risk of developing breast cancer increased from 8.48% for women without cutaneous nevi to 8.82% (95% CI, 8.31%-9.33%) for women with 1-5 nevi, 9.75% (95% CI, 8.48%-11.11%) for women with 6-14 nevi, and 11.4% (95% CI, 8.82%-14.76%) for women with 15 or more nevi. The number of cutaneous nevi was associated with increased risk of breast cancer only among estrogen receptor (ER)-positive tumors (multivariable-adjusted hazard ratio per five nevi, 1.09, 95% CI, 1.02-1.16 for ER+/progesterone receptor [PR]-positive tumors; 1.08, 95% CI, 0.94-1.24 for ER+/PR- tumors; and 0.99, 95% CI, 0.86-1.15 for ER-/PR- tumors). Additionally, we tested plasma hormone levels according to the number of cutaneous nevi among a subgroup of postmenopausal women without postmenopausal hormone use (n = 611). Postmenopausal women with six or more nevi had a 45.5% higher level of free estradiol and a 47.4% higher level of free testosterone compared to those with no nevi (p for trend = 0.001 for both). Among a subgroup of 362 breast cancer cases and 611 matched controls with plasma hormone measurements, the multivariable-adjusted odds ratio for every five nevi attenuated from 1.25 (95% CI, 0.89-1.74) to 1.16 (95% CI, 0.83-1.64) after adjusting for plasma hormone levels. Key limitations in this study are that cutaneous nevi were self-counted in our cohort and that the study was conducted in white individuals, and thus the findings do not necessarily apply to other populations. CONCLUSIONS Our results suggest that the number of cutaneous nevi may reflect plasma hormone levels and predict breast cancer risk independently of previously known factors.
Collapse
Affiliation(s)
- Mingfeng Zhang
- Department of Dermatology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Abrar A. Qureshi
- Department of Dermatology, Rhode Island Hospital, Warren Alpert Medical School, Brown University, Providence, Rhode Island, United States of America
| | - A. Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Susan E. Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, Massachusetts, United States of America
| | - Jiali Han
- Department of Dermatology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, United States of America
- Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, Indiana, United States of America
- Department of Dermatology, School of Medicine, Indiana University, Indianapolis, Indiana, United States of America
| |
Collapse
|
32
|
Guerreiro R, Brás J, Hardy J, Singleton A. Next generation sequencing techniques in neurological diseases: redefining clinical and molecular associations. Hum Mol Genet 2014; 23:R47-53. [PMID: 24794858 PMCID: PMC4170717 DOI: 10.1093/hmg/ddu203] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The development of next-generation sequencing technologies has allowed for the identification of several new genes and genetic factors in human genetics. Common results from the application of these technologies have revealed unexpected presentations for mutations in known disease genes. In this review, we summarize the major contributions of exome sequencing to the study of neurodegenerative disorders and other neurological conditions and discuss the interface between Mendelian and complex neurological diseases with a particular focus on pleiotropic events.
Collapse
Affiliation(s)
- Rita Guerreiro
- Department of Molecular Neuroscience and Reta Lila Weston Laboratories, UCL Institute of Neurology, London WC1N 1PJ, UK Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD 20892, USA
| | - José Brás
- Department of Molecular Neuroscience and Reta Lila Weston Laboratories, UCL Institute of Neurology, London WC1N 1PJ, UK
| | - John Hardy
- Department of Molecular Neuroscience and Reta Lila Weston Laboratories, UCL Institute of Neurology, London WC1N 1PJ, UK
| | - Andrew Singleton
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD 20892, USA
| |
Collapse
|
33
|
Kvaskoff M, Han J, Qureshi AA, Missmer SA. Pigmentary traits, family history of melanoma and the risk of endometriosis: a cohort study of US women. Int J Epidemiol 2014; 43:255-63. [PMID: 24343850 PMCID: PMC3937978 DOI: 10.1093/ije/dyt235] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/16/2013] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Endometriosis has been associated with a higher risk of cutaneous melanoma, but the mechanisms underlying this association are unknown.Some constitutional factors known to influence melanoma risk have been associated with endometriosis in some retrospective studies. However, prospective data are scarce, and more research is needed to confirm this potentially novel endometriosis risk profile. METHODS To investigate the relationships between pigmentary traits, family history of melanoma and endometriosis risk, we analysed data from the Nurses’ Health Study II, a cohort of 116 430 female US nurses aged 25–42 years at inclusion in 1989. Data were collected every 2 years with 20 years of follow-up for these analyses. We used Cox proportional hazards regression models to compute relative risks(RRs) and 95% confidence intervals (CIs). RESULTS During 1 212 499 woman-years of follow-up, 4763 cases of laparoscopically-confirmed endometriosis were reported among premenopausal Caucasian women. Endometriosis risk was increased with presence of naevi on the lower legs (RR=1.08, 95% CI=1.021.14) and higher level of skin’s burning reaction to sun exposure in childhood/adolescence (‘burn with blisters’: RR=1.20,95% CI=1.061.36) compared with ‘practically none’;P(trend)=0.0006) and family history of melanoma (RR=1.13, 95%CI=1.011.26). CONCLUSION This assessment reports modest associations between several pigmentary traits, family history of melanoma and endometriosis risk,corroborating the results from previous retrospective studies. Our findings call for further research to better understand the mechanisms under lying these associations.
Collapse
Affiliation(s)
- Marina Kvaskoff
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA, Inserm U1018, Centre for Research in Epidemiology and Population Health (CESP), Institut Gustave Roussy,Villejuif, France, Université Paris Sud 11, UMRS 1018, Villejuif, France, Cancer Control Group, Queensland Institute of Medical Research, Herston, QLD, Australia, Department of Dermatology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA and Department of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Jiali Han
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA, Inserm U1018, Centre for Research in Epidemiology and Population Health (CESP), Institut Gustave Roussy,Villejuif, France, Université Paris Sud 11, UMRS 1018, Villejuif, France, Cancer Control Group, Queensland Institute of Medical Research, Herston, QLD, Australia, Department of Dermatology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA and Department of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Abrar A Qureshi
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA, Inserm U1018, Centre for Research in Epidemiology and Population Health (CESP), Institut Gustave Roussy,Villejuif, France, Université Paris Sud 11, UMRS 1018, Villejuif, France, Cancer Control Group, Queensland Institute of Medical Research, Herston, QLD, Australia, Department of Dermatology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA and Department of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Stacey A Missmer
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA, Inserm U1018, Centre for Research in Epidemiology and Population Health (CESP), Institut Gustave Roussy,Villejuif, France, Université Paris Sud 11, UMRS 1018, Villejuif, France, Cancer Control Group, Queensland Institute of Medical Research, Herston, QLD, Australia, Department of Dermatology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA and Department of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| |
Collapse
|
34
|
Martino-Echarri E, Fernández-Rodríguez R, Rodríguez-Baena FJ, Barrientos-Durán A, Torres-Collado AX, Plaza-Calonge MDC, Amador-Cubero S, Cortés J, Reynolds LE, Hodivala-Dilke KM, Rodríguez-Manzaneque JC. Contribution of ADAMTS1 as a tumor suppressor gene in human breast carcinoma. Linking its tumor inhibitory properties to its proteolytic activity on nidogen-1 and nidogen-2. Int J Cancer 2013; 133:2315-24. [PMID: 23681936 DOI: 10.1002/ijc.28271] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2012] [Accepted: 04/30/2013] [Indexed: 12/21/2022]
Abstract
The extracellular protease ADAMTS1 (A disintegrin and metalloprotease with thrombospondin repeats 1) has been described as an anti-angiogenic molecule and its role as a putative tumor protective molecule has also been suggested. Here, we have used a tumor xenograft model to determine the role of ADAMTS1 in tumor growth and angiogenesis. Increasing levels of the protease led to the complete inhibition of tumor growth. In an attempt to elucidate the mechanism of action of this protease, we focused our attention on its proteolytic activity on nidogens, one of the main components of the vascular basement membrane. The increased expression of ADAMTS1 was accompanied by increased proteolysis of nidogen-1 and -2 and their almost complete removal from vascular structures, together with major morphological alterations of tumor blood vessels and a decreased vessel density. The clinical relevance of this work is supported by our observations that ADAMTS1 expression is decreased in breast tumor specimens when compared with healthy tissue. Our studies also reveal that the cleavage of nidogen-1 and -2 is partially inhibited in human tumor samples. Moreover, the deposition of both nidogens surrounding vascular structures is drastically altered, implying a possible reduction in the maintenance of vessel integrity. Our studies reflect the requirement to explore the functional interactions between proteases and specific substrates in cancer biology.
Collapse
Affiliation(s)
- Estefanía Martino-Echarri
- GENYO, Centre for Genomics and Oncological Research: Pfizer/Universidad de Granada/Junta de Andalucía, Granada, Spain
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
35
|
Torricelli AAM, Singh V, Santhiago MR, Wilson SE. The corneal epithelial basement membrane: structure, function, and disease. Invest Ophthalmol Vis Sci 2013; 54:6390-400. [PMID: 24078382 DOI: 10.1167/iovs.13-12547] [Citation(s) in RCA: 173] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
The corneal epithelial basement membrane (BM) is positioned between basal epithelial cells and the stroma. This highly specialized extracellular matrix functions not only to anchor epithelial cells to the stroma and provide scaffolding during embryonic development but also during migration, differentiation, and maintenance of the differentiated epithelial phenotype. Basement membranes are composed of a diverse assemblage of extracellular molecules, some of which are likely specific to the tissue where they function; but in general they are composed of four primary components--collagens, laminins, heparan sulfate proteoglycans, and nidogens--in addition to other components such as thrombospondin-1, matrilin-2, and matrilin-4 and even fibronectin in some BM. Many studies have focused on characterizing BM due to their potential roles in normal tissue function and disease, and these structures have been well characterized in many tissues. Comparatively few studies, however, have focused on the function of the epithelial BM in corneal physiology. Since the normal corneal stroma is avascular and has relatively low keratocyte density, it is expected that the corneal BM would be different from the BM in other tissues. One function that appears critical in homeostasis and wound healing is the barrier function to penetration of cytokines from the epithelium to stroma (such as transforming growth factor β-1), and possibly from stroma to epithelium (such as keratinocyte growth factor). The corneal epithelial BM is also involved in many inherited and acquired corneal diseases. This review examines this structure in detail and discusses the importance of corneal epithelial BM in homeostasis, wound healing, and disease.
Collapse
|
36
|
Ogbah Z, Badenas C, Harland M, Puig-Butille JA, Elliot F, Bonifaci N, Guino E, Randerson-Moor J, Chan M, Iles MM, Glass D, Brown AA, Carrera C, Kolm I, Bataille V, Spector TD, Malvehy J, Newton-Bishop J, Pujana MA, Bishop T, Puig S. Evaluation ofPAX3genetic variants and nevus number. Pigment Cell Melanoma Res 2013; 26:666-76. [DOI: 10.1111/pcmr.12130] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2013] [Accepted: 06/07/2013] [Indexed: 01/18/2023]
Affiliation(s)
- Zighereda Ogbah
- Melanoma Unit; Department of Dermatology Hospital Clínic de Barcelona; IDIBAPS; Barcelona University; Barcelona; Spain
| | | | - Mark Harland
- Division of Epidemiology and Biostatistics; Leeds Institute of Molecular Medicine (LIMM); University of Leeds; Leeds; UK
| | | | - Fay Elliot
- Division of Epidemiology and Biostatistics; Leeds Institute of Molecular Medicine (LIMM); University of Leeds; Leeds; UK
| | - Nuria Bonifaci
- Breast Cancer and Systems Biology Unit; Translational Research Laboratory; Catalan Institute of Oncology; Bellvitge Biomedical Research Institute (IDIBELL); L'Hospitalet; Barcelona; Spain
| | - Elisabet Guino
- Biomarkers and Susceptibility Unit; Catalan Institute of Oncology; IDIBELL; L'Hospitalet; Barcelona; Spain
| | - Julie Randerson-Moor
- Division of Epidemiology and Biostatistics; Leeds Institute of Molecular Medicine (LIMM); University of Leeds; Leeds; UK
| | - May Chan
- Division of Epidemiology and Biostatistics; Leeds Institute of Molecular Medicine (LIMM); University of Leeds; Leeds; UK
| | - Mark M. Iles
- Division of Epidemiology and Biostatistics; Leeds Institute of Molecular Medicine (LIMM); University of Leeds; Leeds; UK
| | | | - Andrew A. Brown
- Department of Twin Research & Genetic Epidemiology; Kings College London; St. Thomas’ Hospital Campus; London; UK
| | | | - Isabel Kolm
- Melanoma Unit; Department of Dermatology Hospital Clínic de Barcelona; IDIBAPS; Barcelona University; Barcelona; Spain
| | - Veronique Bataille
- Department of Twin Research & Genetic Epidemiology; Kings College London; St. Thomas’ Hospital Campus; London; UK
| | - Timothy D. Spector
- Department of Twin Research & Genetic Epidemiology; Kings College London; St. Thomas’ Hospital Campus; London; UK
| | | | - Julia Newton-Bishop
- Division of Epidemiology and Biostatistics; Leeds Institute of Molecular Medicine (LIMM); University of Leeds; Leeds; UK
| | - Miquel A. Pujana
- Breast Cancer and Systems Biology Unit; Translational Research Laboratory; Catalan Institute of Oncology; Bellvitge Biomedical Research Institute (IDIBELL); L'Hospitalet; Barcelona; Spain
| | - Tim Bishop
- Division of Epidemiology and Biostatistics; Leeds Institute of Molecular Medicine (LIMM); University of Leeds; Leeds; UK
| | | |
Collapse
|
37
|
Liu F, Wen B, Kayser M. Colorful DNA polymorphisms in humans. Semin Cell Dev Biol 2013; 24:562-75. [PMID: 23587773 DOI: 10.1016/j.semcdb.2013.03.013] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2013] [Accepted: 03/26/2013] [Indexed: 10/26/2022]
Abstract
In this review article we summarize current knowledge on how variation on the DNA level influences human pigmentation including color variation of iris, hair, and skin. We review recent progress in the field of human pigmentation genetics by focusing on the genes and DNA polymorphisms discovered to be involved in determining human pigmentation traits, their association with diseases particularly skin cancers, and their power to predict human eye, hair, and skin colors with potential utilization in forensic investigations.
Collapse
Affiliation(s)
- Fan Liu
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
| | | | | |
Collapse
|
38
|
Liu H, Wang LE, Liu Z, Chen WV, Amos CI, Lee JE, Iles MM, Law MH, Barrett JH, Montgomery GW, Taylor JC, MacGregor S, Cust AE, Newton Bishop JA, Hayward NK, Bishop DT, Mann GJ, Affleck P, Wei Q. Association between functional polymorphisms in genes involved in the MAPK signaling pathways and cutaneous melanoma risk. Carcinogenesis 2013; 34:885-92. [PMID: 23291271 DOI: 10.1093/carcin/bgs407] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Genome-wide association studies (GWASs) have mainly focused on top significant single nucleotide polymorphisms (SNPs), most of which did not have clear biological functions but were just surrogates for unknown causal variants. Studying SNPs with modest association and putative functions in biologically plausible pathways has become one complementary approach to GWASs. To unravel the key roles of mitogen-activated protein kinase (MAPK) pathways in cutaneous melanoma (CM) risk, we re-evaluated the associations between 47 818 SNPs in 280 MAPK genes and CM risk using our published GWAS dataset with 1804 CM cases and 1026 controls. We initially found 105 SNPs with P ≤ 0.001, more than expected by chance, 26 of which were predicted to be putatively functional SNPs. The risk associations with 16 SNPs around DUSP14 (rs1051849) and a previous reported melanoma locus MAFF/PLA2G6 (proxy SNP rs4608623) were replicated in the GenoMEL dataset (P < 0.01) but failed in the Australian dataset. Meta-analysis showed that rs1051849 in the 3' untranslated regions of DUSP14 was associated with a reduced risk of melanoma (odds ratio = 0.89, 95% confidence interval: 0.82-0.96, P = 0.003, false discovery rate = 0.056). Further genotype-phenotype correlation analysis using the 90 HapMap lymphoblastoid cell lines from Caucasians showed significant correlations between two SNPs (rs1051849 and rs4608623) and messenger RNA expression levels of DUSP14 and MAFF (P = 0.025 and P = 0.010, respectively). Gene-based tests also revealed significant SNPs were over-represented in MAFF, PLA2G6, DUSP14 and other 16 genes. Our results suggest that functional SNPs in MAPK pathways may contribute to CM risk. Further studies are warranted to validate our findings.
Collapse
Affiliation(s)
- Hongliang Liu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
39
|
Kaur H, Mao S, Li Q, Sameni M, Krawetz SA, Sloane BF, Mattingly RR. RNA-Seq of human breast ductal carcinoma in situ models reveals aldehyde dehydrogenase isoform 5A1 as a novel potential target. PLoS One 2012; 7:e50249. [PMID: 23236365 PMCID: PMC3516505 DOI: 10.1371/journal.pone.0050249] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2012] [Accepted: 10/22/2012] [Indexed: 01/16/2023] Open
Abstract
Breast ductal carcinoma in situ (DCIS) is being found in great numbers of women due to the widespread use of mammography. To increase knowledge of DCIS, we determined the expression changes that are common among three DCIS models (MCF10.DCIS, SUM102 and SUM225) compared to the MCF10A model of non-tumorigenic mammary epithelial cells in three dimensional (3D) overlay culture with reconstituted basement membrane (rBM). Extracted mRNA was subjected to 76 cycles of deep sequencing (RNA-Seq) using Illumina Genome Analyzer GAIIx. Analysis of RNA-Seq results showed 295 consistently differentially expressed transcripts in the DCIS models. These differentially expressed genes encode proteins that are associated with a number of signaling pathways such as integrin, fibroblast growth factor and TGFβ signaling, show association with cell-cell signaling, cell-cell adhesion and cell proliferation, and have a notable bias toward localization in the extracellular and plasma membrane compartments. RNA-Seq data was validated by quantitative real-time PCR of selected differentially expressed genes. Aldehyde dehydrogenase 5A1 (ALDH5A1) which is an enzyme that is involved in mitochondrial glutamate metabolism, was over-expressed in all three DCIS models at both the mRNA and protein levels. Disulfiram and valproic acid are known to inhibit ALDH5A1 and are safe for chronic use in humans for other disorders. Both of these drugs significantly inhibited net proliferation of the DCIS 3D rBM overlay models, but had minimal effect on MCF10A 3D rBM overlay models. These results suggest that ALDH5A1 may play an important role in DCIS and potentially serve as a novel molecular therapeutic target.
Collapse
Affiliation(s)
- Hitchintan Kaur
- Department of Pharmacology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Shihong Mao
- Center for Molecular Medicine and Genetics, Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Quanwen Li
- Department of Pharmacology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit, Michigan, United States of America
| | - Mansoureh Sameni
- Department of Pharmacology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Stephen A. Krawetz
- Center for Molecular Medicine and Genetics, Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit, Michigan, United States of America
| | - Bonnie F. Sloane
- Department of Pharmacology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit, Michigan, United States of America
| | - Raymond R. Mattingly
- Department of Pharmacology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit, Michigan, United States of America
- * E-mail:
| |
Collapse
|
40
|
Ward KA, Lazovich D, Hordinsky MK. Germline melanoma susceptibility and prognostic genes: A review of the literature. J Am Acad Dermatol 2012; 67:1055-67. [PMID: 22583682 DOI: 10.1016/j.jaad.2012.02.042] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2011] [Revised: 02/26/2012] [Accepted: 02/29/2012] [Indexed: 12/12/2022]
Affiliation(s)
- Katherine A Ward
- University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | | | | |
Collapse
|
41
|
Meng S, Zhang M, Liang L, Han J. Current opportunities and challenges: genome-wide association studies on pigmentation and skin cancer. Pigment Cell Melanoma Res 2012; 25:612-7. [DOI: 10.1111/j.1755-148x.2012.01023.x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
|
42
|
Zhang X. Genome-wide association study of skin complex diseases. J Dermatol Sci 2012; 66:89-97. [PMID: 22480995 DOI: 10.1016/j.jdermsci.2012.02.017] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2012] [Accepted: 02/24/2012] [Indexed: 01/04/2023]
Abstract
Complex diseases are caused by both genetic and environmental factors. Over decades, scientists endeavored to uncover the genetic myth of complex diseases by linkage and association studies. Since 2005, the genome-wide association study (GWAS) has been proved to be the most powerful and efficient study design thus far in identifying genetic variants that are associated with complex diseases. More than 230 complex diseases and traits have been investigated by this approach. In dermatology, 10 skin complex diseases have been investigated, a wealth of common susceptibility variants conferring risk for skin complex diseases have been discovered. These findings point to genes and/or loci involved in biological systems worth further investigating by using other methodologies. Certainly, as our understanding of the genetic etiology of skin complex diseases continues to mature, important opportunities will emerge for developing more effective diagnostic and clinical management tools for these diseases.
Collapse
Affiliation(s)
- Xuejun Zhang
- Institute of Dermatology and Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, Anhui, China.
| |
Collapse
|