Integration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes

This study integrates Alzheimer’s disease (AD) GWAS data with myeloid cell genomics, and reports that myeloid active enhancers are most burdened by AD risk alleles. The authors also nominate candidate causal regulatory elements, variants and genes that likely modulate the risk for AD.

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Detalles Bibliográficos
Autores principales:	Gloriia Novikova, Manav Kapoor, Julia TCW, Edsel M. Abud, Anastasia G. Efthymiou, Steven X. Chen, Haoxiang Cheng, John F. Fullard, Jaroslav Bendl, Yiyuan Liu, Panos Roussos, Johan LM Björkegren, Yunlong Liu, Wayne W. Poon, Ke Hao, Edoardo Marcora, Alison M. Goate
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/e7ee804a940645c0aa0e698c50c1d0da
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spelling	oai:doaj.org-article:e7ee804a940645c0aa0e698c50c1d0da2021-12-02T13:16:18ZIntegration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes10.1038/s41467-021-21823-y2041-1723https://doaj.org/article/e7ee804a940645c0aa0e698c50c1d0da2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21823-yhttps://doaj.org/toc/2041-1723This study integrates Alzheimer’s disease (AD) GWAS data with myeloid cell genomics, and reports that myeloid active enhancers are most burdened by AD risk alleles. The authors also nominate candidate causal regulatory elements, variants and genes that likely modulate the risk for AD.Gloriia NovikovaManav KapoorJulia TCWEdsel M. AbudAnastasia G. EfthymiouSteven X. ChenHaoxiang ChengJohn F. FullardJaroslav BendlYiyuan LiuPanos RoussosJohan LM BjörkegrenYunlong LiuWayne W. PoonKe HaoEdoardo MarcoraAlison M. GoateNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Gloriia Novikova Manav Kapoor Julia TCW Edsel M. Abud Anastasia G. Efthymiou Steven X. Chen Haoxiang Cheng John F. Fullard Jaroslav Bendl Yiyuan Liu Panos Roussos Johan LM Björkegren Yunlong Liu Wayne W. Poon Ke Hao Edoardo Marcora Alison M. Goate Integration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes
description	This study integrates Alzheimer’s disease (AD) GWAS data with myeloid cell genomics, and reports that myeloid active enhancers are most burdened by AD risk alleles. The authors also nominate candidate causal regulatory elements, variants and genes that likely modulate the risk for AD.
format	article
author	Gloriia Novikova Manav Kapoor Julia TCW Edsel M. Abud Anastasia G. Efthymiou Steven X. Chen Haoxiang Cheng John F. Fullard Jaroslav Bendl Yiyuan Liu Panos Roussos Johan LM Björkegren Yunlong Liu Wayne W. Poon Ke Hao Edoardo Marcora Alison M. Goate
author_facet	Gloriia Novikova Manav Kapoor Julia TCW Edsel M. Abud Anastasia G. Efthymiou Steven X. Chen Haoxiang Cheng John F. Fullard Jaroslav Bendl Yiyuan Liu Panos Roussos Johan LM Björkegren Yunlong Liu Wayne W. Poon Ke Hao Edoardo Marcora Alison M. Goate
author_sort	Gloriia Novikova
title	Integration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes
title_short	Integration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes
title_full	Integration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes
title_fullStr	Integration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes
title_full_unstemmed	Integration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes
title_sort	integration of alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/e7ee804a940645c0aa0e698c50c1d0da
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Integration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes

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