脑出血遗传学(ERICH-GENE)研究方案的民族/种族差异。

Guido J Falcone, Stacey Q Wolfe, Marialuisa Zedde, Rosario Pascarella, Jordi Jimenez-Conde, Marta Vallverdu Prats, Joan Jimenez-Balado, Alessandro Pezzini, Sandra Rossi, Rustam Al-Shahi Salman, Neshika Samarasekera, Ramin Zand, Jinag Li, Christina Jern, Daniel Strbian, Liisa Tomppo, Hanne Sallinen, Mar Hernandez Guillamon, Magdy Selim, Mayowa Owolabi, Rufus Akinyemi, Gregory Fakunle, Tsong-Hai Lee, David Werring, Isabel C Hostettler, Henry Houlden, Pankaj Sharma, Isaac John, Gie Ken-Dror, Wendy Jenkins, Kevin N Sheth, Lauren H Sansing, Dharambir K Sanghera, Evgeny Sidorov, Israel Fernandez-Cadenas, Jara Cárcel-Márquez, Ching-Jen Chen, Andrea Becerril-Gaitan, Keon-Joo Lee, Hee-Joon Bae, Martin Dichgans, Rainer Malik, Stephanie Debette, Aniket Mishra, Guillaume Pare, Michael Chong, Yoichiro Kamatani, Zhengming Chen, Robin G Walters, Sudha Seshadri, Myriam Fornage, Catherine Sudlow, Lee A Gilkerson, Vivek J Khandwala, Thomas C Maloney, Stacie Demel, Livia Parodi, Ramin Zand, Paul Nyquist, Wendy Ziai, Bradford Worrall, Vagal M Achala, Carl D Langefeld, Jonathan Rosand, Christopher D Anderson, Daniel Woo
{"title":"脑出血遗传学(ERICH-GENE)研究方案的民族/种族差异。","authors":"Guido J Falcone, Stacey Q Wolfe, Marialuisa Zedde, Rosario Pascarella, Jordi Jimenez-Conde, Marta Vallverdu Prats, Joan Jimenez-Balado, Alessandro Pezzini, Sandra Rossi, Rustam Al-Shahi Salman, Neshika Samarasekera, Ramin Zand, Jinag Li, Christina Jern, Daniel Strbian, Liisa Tomppo, Hanne Sallinen, Mar Hernandez Guillamon, Magdy Selim, Mayowa Owolabi, Rufus Akinyemi, Gregory Fakunle, Tsong-Hai Lee, David Werring, Isabel C Hostettler, Henry Houlden, Pankaj Sharma, Isaac John, Gie Ken-Dror, Wendy Jenkins, Kevin N Sheth, Lauren H Sansing, Dharambir K Sanghera, Evgeny Sidorov, Israel Fernandez-Cadenas, Jara Cárcel-Márquez, Ching-Jen Chen, Andrea Becerril-Gaitan, Keon-Joo Lee, Hee-Joon Bae, Martin Dichgans, Rainer Malik, Stephanie Debette, Aniket Mishra, Guillaume Pare, Michael Chong, Yoichiro Kamatani, Zhengming Chen, Robin G Walters, Sudha Seshadri, Myriam Fornage, Catherine Sudlow, Lee A Gilkerson, Vivek J Khandwala, Thomas C Maloney, Stacie Demel, Livia Parodi, Ramin Zand, Paul Nyquist, Wendy Ziai, Bradford Worrall, Vagal M Achala, Carl D Langefeld, Jonathan Rosand, Christopher D Anderson, Daniel Woo","doi":"10.1101/2025.06.11.25329301","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Spontaneous, non-traumatic intracranial hemorrhage (ICH) is highly heritable disease. However, the identification of the genetic risk factors driving this high genetic predisposition has been limited by small sample sizes and underrepresentation of non-European populations. The ERICH-GENE study will gather and harmonize clinical, neuroimaging and genomic data on the largest and more diverse collection of ICH cases assembled to date.</p><p><strong>Methods: </strong>ERICH-GENE is an NIH-funded, multi-center, international, genetic and neuroimaging study that aims to achieve the necessary sample size and diversity required to accurately describe the genetic architecture and trans-ethnic variation of ICH. ERICH-GENE will collect and harmonize clinical, neuroimaging and genomic data at least 10,000 multi-ethnic ICH cases. These data will be aggregated with 20,000 existing ICH cases and 600,000 ICH-free controls available through completed studies by the International Stroke Genetics Consortium. To ensure validity, data will undergo extensive harmonization, including expert review of neuroimages to ensure spontaneous etiology and hemorrhage location. We will conduct genome-wide association studies of risk, severity and outcome of ICH, testing for effect modification by race/ethnicity, sex and hemorrhage location. We will also conduct pathway, polygenic risk score and Mendelian randomization analyses.</p><p><strong>Results: </strong>This study will include whole genome sequencing data from 10,850 spontaneous ICH samples, including clinical and radiographic phenotypic data to ensure reliability of true non-traumatic, non-lesional ICH and lobar vs nonlobar location. Of these, 1,497 have already been genotyped using genome-wide arrays, 3,753 have undergone whole genome sequencing, and 5,600 will undergo genome-wide genotyping through ERICH-GENE. There are currently 42 contributing sites exceeding study milestone enrollments. 16,175 radiographic studies from 4,974 patients have been uploaded for harmonization to date, including 26% lobar and 64% nonlobar hemorrhages. Neuroimaging assessment will also include grading for white matter hyperintensities, cerebral atrophy, and presence and severity of IVH. Nearly 6,000 ICH cases will complete genotyping by August 2025. Data/material transfer agreements for summary statistics as well as additional samples are on target to meet the study's objectives.</p><p><strong>Conclusion: </strong>ERICH-GENE is the largest trans-ethnic genetic study of ICH conducted to date. Combining a diverse patient population with expert adjudication of neuroimaging data, ERICH-GENE will identify genetic risk loci that drive the high heritability observed for this disease and make a significant contribution to the understanding of the trans-ethnic variation of its genetic architecture.</p>","PeriodicalId":94281,"journal":{"name":"medRxiv : the preprint server for health sciences","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12204433/pdf/","citationCount":"0","resultStr":"{\"title\":\"The Ethnic/Racial Variations of Intracerebral Hemorrhage Genetics (ERICH-GENE) Study Protocol.\",\"authors\":\"Guido J Falcone, Stacey Q Wolfe, Marialuisa Zedde, Rosario Pascarella, Jordi Jimenez-Conde, Marta Vallverdu Prats, Joan Jimenez-Balado, Alessandro Pezzini, Sandra Rossi, Rustam Al-Shahi Salman, Neshika Samarasekera, Ramin Zand, Jinag Li, Christina Jern, Daniel Strbian, Liisa Tomppo, Hanne Sallinen, Mar Hernandez Guillamon, Magdy Selim, Mayowa Owolabi, Rufus Akinyemi, Gregory Fakunle, Tsong-Hai Lee, David Werring, Isabel C Hostettler, Henry Houlden, Pankaj Sharma, Isaac John, Gie Ken-Dror, Wendy Jenkins, Kevin N Sheth, Lauren H Sansing, Dharambir K Sanghera, Evgeny Sidorov, Israel Fernandez-Cadenas, Jara Cárcel-Márquez, Ching-Jen Chen, Andrea Becerril-Gaitan, Keon-Joo Lee, Hee-Joon Bae, Martin Dichgans, Rainer Malik, Stephanie Debette, Aniket Mishra, Guillaume Pare, Michael Chong, Yoichiro Kamatani, Zhengming Chen, Robin G Walters, Sudha Seshadri, Myriam Fornage, Catherine Sudlow, Lee A Gilkerson, Vivek J Khandwala, Thomas C Maloney, Stacie Demel, Livia Parodi, Ramin Zand, Paul Nyquist, Wendy Ziai, Bradford Worrall, Vagal M Achala, Carl D Langefeld, Jonathan Rosand, Christopher D Anderson, Daniel Woo\",\"doi\":\"10.1101/2025.06.11.25329301\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Spontaneous, non-traumatic intracranial hemorrhage (ICH) is highly heritable disease. However, the identification of the genetic risk factors driving this high genetic predisposition has been limited by small sample sizes and underrepresentation of non-European populations. The ERICH-GENE study will gather and harmonize clinical, neuroimaging and genomic data on the largest and more diverse collection of ICH cases assembled to date.</p><p><strong>Methods: </strong>ERICH-GENE is an NIH-funded, multi-center, international, genetic and neuroimaging study that aims to achieve the necessary sample size and diversity required to accurately describe the genetic architecture and trans-ethnic variation of ICH. ERICH-GENE will collect and harmonize clinical, neuroimaging and genomic data at least 10,000 multi-ethnic ICH cases. These data will be aggregated with 20,000 existing ICH cases and 600,000 ICH-free controls available through completed studies by the International Stroke Genetics Consortium. To ensure validity, data will undergo extensive harmonization, including expert review of neuroimages to ensure spontaneous etiology and hemorrhage location. We will conduct genome-wide association studies of risk, severity and outcome of ICH, testing for effect modification by race/ethnicity, sex and hemorrhage location. We will also conduct pathway, polygenic risk score and Mendelian randomization analyses.</p><p><strong>Results: </strong>This study will include whole genome sequencing data from 10,850 spontaneous ICH samples, including clinical and radiographic phenotypic data to ensure reliability of true non-traumatic, non-lesional ICH and lobar vs nonlobar location. Of these, 1,497 have already been genotyped using genome-wide arrays, 3,753 have undergone whole genome sequencing, and 5,600 will undergo genome-wide genotyping through ERICH-GENE. There are currently 42 contributing sites exceeding study milestone enrollments. 16,175 radiographic studies from 4,974 patients have been uploaded for harmonization to date, including 26% lobar and 64% nonlobar hemorrhages. Neuroimaging assessment will also include grading for white matter hyperintensities, cerebral atrophy, and presence and severity of IVH. Nearly 6,000 ICH cases will complete genotyping by August 2025. Data/material transfer agreements for summary statistics as well as additional samples are on target to meet the study's objectives.</p><p><strong>Conclusion: </strong>ERICH-GENE is the largest trans-ethnic genetic study of ICH conducted to date. Combining a diverse patient population with expert adjudication of neuroimaging data, ERICH-GENE will identify genetic risk loci that drive the high heritability observed for this disease and make a significant contribution to the understanding of the trans-ethnic variation of its genetic architecture.</p>\",\"PeriodicalId\":94281,\"journal\":{\"name\":\"medRxiv : the preprint server for health sciences\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12204433/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"medRxiv : the preprint server for health sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2025.06.11.25329301\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv : the preprint server for health sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2025.06.11.25329301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

背景:自发性、非外伤性颅内出血(ICH)是一种高度遗传性疾病。然而,对这种高遗传易感性的遗传风险因素的识别受到样本量小和非欧洲人口代表性不足的限制。ICH- gene研究将收集和协调迄今为止收集的最大和更多样化的脑出血病例的临床、神经影像学和基因组数据。方法:ICH- gene是美国国立卫生研究院资助的一项多中心、国际性的遗传和神经影像学研究,旨在实现准确描述ICH遗传结构和跨种族变异所需的必要样本量和多样性。ERICH-GENE将收集和协调至少1万例多民族脑出血病例的临床、神经影像学和基因组数据。这些数据将与国际中风遗传学协会完成的研究中现有的2万例脑出血病例和60万例无脑出血对照进行汇总。为了确保有效性,数据将经过广泛的协调,包括神经图像的专家审查,以确保自发性病因和出血位置。我们将对脑出血的风险、严重程度和结果进行全基因组关联研究,并根据种族/民族、性别和出血部位检测影响的改变。我们还将进行通路、多基因风险评分和孟德尔随机化分析。结果:本研究将包括10850例自发性脑出血样本的全基因组测序数据,包括临床和放射学表型数据,以确保真正的非创伤性、非病变性脑出血以及脑叶与非脑叶位置的可靠性。其中,1497人已经使用全基因组阵列进行了基因分型,3753人进行了全基因组测序,5600人将通过ERICH-GENE进行全基因组分型。目前有42个贡献站点超过了研究里程碑登记。迄今为止,来自4,974名患者的16,175份放射学研究已上传用于协调,其中包括26%的大叶性出血和64%的非大叶性出血。神经影像学评估也将包括白质高信号、脑萎缩、IVH的存在和严重程度的分级。到2025年8月,将有近6000例ICH病例完成基因分型。汇总统计数据和额外样本的数据/材料转让协议符合研究目标。结论:ERICH-GENE是迄今为止进行的最大的ICH跨种族遗传研究。结合不同的患者群体和专家对神经影像学数据的判断,ERICH-GENE将识别出驱动这种疾病观察到的高遗传率的遗传风险位点,并对其遗传结构的跨种族变异的理解做出重大贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Ethnic/Racial Variations of Intracerebral Hemorrhage Genetics (ERICH-GENE) Study Protocol.

Background: Spontaneous, non-traumatic intracranial hemorrhage (ICH) is highly heritable disease. However, the identification of the genetic risk factors driving this high genetic predisposition has been limited by small sample sizes and underrepresentation of non-European populations. The ERICH-GENE study will gather and harmonize clinical, neuroimaging and genomic data on the largest and more diverse collection of ICH cases assembled to date.

Methods: ERICH-GENE is an NIH-funded, multi-center, international, genetic and neuroimaging study that aims to achieve the necessary sample size and diversity required to accurately describe the genetic architecture and trans-ethnic variation of ICH. ERICH-GENE will collect and harmonize clinical, neuroimaging and genomic data at least 10,000 multi-ethnic ICH cases. These data will be aggregated with 20,000 existing ICH cases and 600,000 ICH-free controls available through completed studies by the International Stroke Genetics Consortium. To ensure validity, data will undergo extensive harmonization, including expert review of neuroimages to ensure spontaneous etiology and hemorrhage location. We will conduct genome-wide association studies of risk, severity and outcome of ICH, testing for effect modification by race/ethnicity, sex and hemorrhage location. We will also conduct pathway, polygenic risk score and Mendelian randomization analyses.

Results: This study will include whole genome sequencing data from 10,850 spontaneous ICH samples, including clinical and radiographic phenotypic data to ensure reliability of true non-traumatic, non-lesional ICH and lobar vs nonlobar location. Of these, 1,497 have already been genotyped using genome-wide arrays, 3,753 have undergone whole genome sequencing, and 5,600 will undergo genome-wide genotyping through ERICH-GENE. There are currently 42 contributing sites exceeding study milestone enrollments. 16,175 radiographic studies from 4,974 patients have been uploaded for harmonization to date, including 26% lobar and 64% nonlobar hemorrhages. Neuroimaging assessment will also include grading for white matter hyperintensities, cerebral atrophy, and presence and severity of IVH. Nearly 6,000 ICH cases will complete genotyping by August 2025. Data/material transfer agreements for summary statistics as well as additional samples are on target to meet the study's objectives.

Conclusion: ERICH-GENE is the largest trans-ethnic genetic study of ICH conducted to date. Combining a diverse patient population with expert adjudication of neuroimaging data, ERICH-GENE will identify genetic risk loci that drive the high heritability observed for this disease and make a significant contribution to the understanding of the trans-ethnic variation of its genetic architecture.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信