Khankhanian Pouya, Cozen Wendy, Himmelstein Daniel S, Madireddy Lohith, Din Lennox, van den Berg Anke, Matsushita Takuya, Glaser Sally L, Moré Jayaji M, Smedby Karin E, Baranzini Sergio E, Mack Thomas M, Lizée Antoine, de Sanjosé Silvia, Gourraud Pierre-Antoine, Nieters Alexandra, Hauser Stephen L, Cocco Pierluigi, Maynadié Marc, Foretová Lenka, Staines Anthony, Delahaye-Sourdeix Manon, Li Dalin, Bhatia Smita, Melbye Mads, Onel Kenan, Jarrett Ruth, McKay James D, Oksenberg Jorge R, Hjalgrim Henrik
Center for Neuroengineering and Thereapeutics at the University of Pennsylvania, Philadelphia, PA, USA University of California, San Francisco, CA, USA.
University of Southern California, Los Angeles, CA, USA.
Int J Epidemiol. 2016 Jun;45(3):728-40. doi: 10.1093/ije/dyv364. Epub 2016 Mar 12.
Based on epidemiological commonalities, multiple sclerosis (MS) and Hodgkin lymphoma (HL), two clinically distinct conditions, have long been suspected to be aetiologically related. MS and HL occur in roughly the same age groups, both are associated with Epstein-Barr virus infection and ultraviolet (UV) light exposure, and they cluster mutually in families (though not in individuals). We speculated if in addition to sharing environmental risk factors, MS and HL were also genetically related. Using data from genome-wide association studies (GWAS) of 1816 HL patients, 9772 MS patients and 25 255 controls, we therefore investigated the genetic overlap between the two diseases.
From among a common denominator of 404 K single nucleotide polymorphisms (SNPs) studied, we identified SNPs and human leukocyte antigen (HLA) alleles independently associated with both diseases. Next, we assessed the cumulative genome-wide effect of MS-associated SNPs on HL and of HL-associated SNPs on MS. To provide an interpretational frame of reference, we used data from published GWAS to create a genetic network of diseases within which we analysed proximity of HL and MS to autoimmune diseases and haematological and non-haematological malignancies.
SNP analyses revealed genome-wide overlap between HL and MS, most prominently in the HLA region. Polygenic HL risk scores explained 4.44% of HL risk (Nagelkerke R(2)), but also 2.36% of MS risk. Conversely, polygenic MS risk scores explained 8.08% of MS risk and 1.94% of HL risk. In the genetic disease network, HL was closer to autoimmune diseases than to solid cancers.
HL displays considerable genetic overlap with MS and other autoimmune diseases.
基于流行病学共性,多发性硬化症(MS)和霍奇金淋巴瘤(HL)这两种临床症状不同的疾病,长期以来一直被怀疑在病因上存在关联。MS和HL发病年龄大致相同,均与爱泼斯坦-巴尔病毒感染及紫外线暴露有关,且在家族中相互聚集(尽管不是在个体中)。我们推测,除了共享环境风险因素外,MS和HL在基因上也有关联。因此,我们利用1816例HL患者、9772例MS患者和25255例对照的全基因组关联研究(GWAS)数据,研究了这两种疾病之间的基因重叠情况。
在研究的404K单核苷酸多态性(SNP)的共同分母中,我们确定了与这两种疾病独立相关的SNP和人类白细胞抗原(HLA)等位基因。接下来,我们评估了与MS相关的SNP对HL的全基因组累积效应以及与HL相关的SNP对MS的全基因组累积效应。为提供一个解释性的参考框架,我们使用已发表的GWAS数据创建了一个疾病基因网络,在其中分析HL和MS与自身免疫性疾病、血液系统和非血液系统恶性肿瘤的接近程度。
SNP分析显示HL和MS在全基因组存在重叠,最显著的是在HLA区域。多基因HL风险评分解释了HL风险的4.44%(Nagelkerke R²),但也解释了MS风险的2.36%。相反,多基因MS风险评分解释了MS风险的8.08%和HL风险的1.94%。在遗传疾病网络中,HL与自身免疫性疾病的关系比与实体癌的关系更密切。
HL与MS及其他自身免疫性疾病存在相当大的基因重叠。