Elucidating the genomic basis of rare pediatric neurological diseases in Central Asia and Transcaucasia

IF 31.7 1区 生物学 Q1 GENETICS & HEREDITY
Rauan Kaiyrzhanov, Nazira Zharkinbekova, Ulviyya Guliyeva, Manizha Ganieva, Zaruhi Tavadyan, Tamar Gachechiladze, Kamran Salayev, Sughra Guliyeva, Mariam Isayan, Mariam Kekenadze, Biayna Sukhudyan, Ani Gevorgyan, Artsruni Hakobyan, Rima Ibadova, Nazi Tabatadze, Ekaterina Kurua, Teona Shatirishvili, Nigara Yerkhojayeva, Kairgali Koneev, Dauren Zhumakhanov, Askhat Mukushev, Altynshash Jaxybayeva, Alissa Nauryzbayeva, Maksudjon Isrofilov, Saadat Badalova, Naila Zeyniyeva, Ilaha Hajiyeva, Leyla Alakbarov, Aynur Zeynalova, Viorica Chelban, Jana Vandrovcova, Valentina Turchetti, David Murphy, Stephanie Efthymiou, Shahryar Alavi, Rahema Mohammad, Tinatin Tkemaladze, Chingiz Shashkin, Nana Nino Tatishvili, Maia Beridze, Samson G. Khachatryan, Gia Melikishvili, John Hardy, Reza Maroofian, Henry Houlden
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引用次数: 0

Abstract Image

Abstract Image

阐明中亚和外高加索地区罕见小儿神经系统疾病的基因组基础
自人类基因组计划(Human Genome Project)以来,基因组医学取得了长足的进步,为许多罕见病(包括罕见儿科神经系统疾病(RPND))家庭提供了分子诊断。这些进展为个性化医疗铺平了道路,大大提高了我们对人体生理和生化途径的了解。然而,尽管取得了这些进步,高通量测序的成本也在不断降低,但全球许多地区在人类基因研究方面的代表性仍然不足。即使在拥有最先进医疗设施的发达国家,许多家庭仍无法获得明确诊断。诊断神经遗传疾病的一个主要挑战是难以解释序列变异和意义不确定的变异的高发生率,这主要是由于不同人群的人类变异目录不完整造成的。由于全球大多数人获得下一代测序和全面基因检测的机会有限,经基因证实患有罕见病的个体非常稀少,这进一步加剧了这一问题。
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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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