人类第 10 号染色体近染色质区的赫氏病(巨结肠)基因

IF 31.7 1区 生物学 Q1 GENETICS & HEREDITY Nature genetics Pub Date : 1993-08-01 DOI:10.1038/ng0893-351
Misha Angrist, Erick Kauffman, Susan A. Slaugenhaupt, Tara Cox Matise, Erik G. Puffenberger, Sarah Shaw Washington, Anthony Lipson, Daniel T. Cass, Troy Reyna, Daniel E. Weeks, William Sieber, Aravinda Chakravarti
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引用次数: 161

摘要

Hirschsprung 病(HSCR)的特点是先天性肠神经节缺失,肠道长度不一。尽管长期以来一直被认为是一种多因素疾病,但我们在五个 HSCR 家族中发现了与 10 号染色体周边区域的联系,从而证明了某些家族中的单基因遗传。在不完全渗透显性模型下,HSCR 与 D10S176 之间的最大两点 lod 得分为 3.37(θ̂ = 0.045)。多点分析、仅受影响分析和非参数分析都支持这一发现,并将该基因定位在≈7 厘摩尔的区域,与多发性内分泌肿瘤 2 型(MEN2)的基因座非常接近。这两个实体在一些家族中同时出现,可能是由于共同的致病起源。
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A gene for Hirschsprung disease (megacolon) in the pericentromeric region of human chromosome 10
Hirschsprung disease (HSCR) is characterized by a congenital absence of enteric ganglia along a variable length of the intestine. Although long considered to be a multifactorial disease, we have identified linkage in a subset of five HSCR families to the pericentromeric region of chromosome 10, thereby proving monogenic inheritance in some families. A maximum two–point lod score of 3.37 (θ̂ = 0.045) was observed between HSCR and D10S176, under an incompletely penetrant dominant model. Multipoint, affecteds–only and non–parametric analyses supported this finding and localize this gene to a region of ≈7 centiMorgans, in close proximity to the locus for multiple endocrine neoplasia type 2 (MEN2). The co–occurrence of these two entities in some families might be attributable to shared pathogenetic origins.
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来源期刊
Nature genetics
Nature genetics 生物-遗传学
CiteScore
43.00
自引率
2.60%
发文量
241
审稿时长
3 months
期刊介绍: Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation. Integrative genetic topics comprise, but are not limited to: -Genes in the pathology of human disease -Molecular analysis of simple and complex genetic traits -Cancer genetics -Agricultural genomics -Developmental genetics -Regulatory variation in gene expression -Strategies and technologies for extracting function from genomic data -Pharmacological genomics -Genome evolution
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