Pub Date : 2024-10-02DOI: 10.1038/s41588-024-01931-3
Rohini Janivara, Wenlong C. Chen, Ujani Hazra, Shakuntala Baichoo, Ilir Agalliu, Paidamoyo Kachambwa, Corrine N. Simonti, Lyda M. Brown, Saanika P. Tambe, Michelle S. Kim, Maxine Harlemon, Mohamed Jalloh, Dillon Muzondiwa, Daphne Naidoo, Olabode O. Ajayi, Nana Yaa Snyper, Lamine Niang, Halimatou Diop, Medina Ndoye, James E. Mensah, Afua O. D. Abrahams, Richard Biritwum, Andrew A. Adjei, Akindele O. Adebiyi, Olayiwola Shittu, Olufemi Ogunbiyi, Sikiru Adebayo, Maxwell M. Nwegbu, Hafees O. Ajibola, Olabode P. Oluwole, Mustapha A. Jamda, Audrey Pentz, Christopher A. Haiman, Petrus V. Spies, André van der Merwe, Michael B. Cook, Stephen J. Chanock, Sonja I. Berndt, Stephen Watya, Alexander Lubwama, Mazvita Muchengeti, Sean Doherty, Natalie Smyth, David Lounsbury, Brian Fortier, Thomas E. Rohan, Judith S. Jacobson, Alfred I. Neugut, Ann W. Hsing, Alexander Gusev, Oseremen I. Aisuodionoe-Shadrach, Maureen Joffe, Ben Adusei, Serigne M. Gueye, Pedro W. Fernandez, Jo McBride, Caroline Andrews, Lindsay N. Petersen, Joseph Lachance, Timothy R. Rebbeck
Men of African descent have the highest prostate cancer incidence and mortality rates, yet the genetic basis of prostate cancer in African men has been understudied. We used genomic data from 3,963 cases and 3,509 controls from Ghana, Nigeria, Senegal, South Africa and Uganda to infer ancestry-specific genetic architectures and fine-map disease associations. Fifteen independent associations at 8q24.21, 6q22.1 and 11q13.3 reached genome-wide significance, including four new associations. Intriguingly, multiple lead associations are private alleles, a pattern arising from recent mutations and the out-of-Africa bottleneck. These African-specific alleles contribute to haplotypes with odds ratios above 2.4. We found that the genetic architecture of prostate cancer differs across Africa, with effect size differences contributing more to this heterogeneity than allele frequency differences. Population genetic analyses reveal that African prostate cancer associations are largely governed by neutral evolution. Collectively, our findings emphasize the utility of conducting genetic studies that use diverse populations. Genome-wide association analyses of prostate cancer in men from sub-Saharan Africa identify population-specific risk variants and regional differences in effect sizes. Founder effects contribute to continental differences in the genetic architecture of prostate cancer.
{"title":"Heterogeneous genetic architectures of prostate cancer susceptibility in sub-Saharan Africa","authors":"Rohini Janivara, Wenlong C. Chen, Ujani Hazra, Shakuntala Baichoo, Ilir Agalliu, Paidamoyo Kachambwa, Corrine N. Simonti, Lyda M. Brown, Saanika P. Tambe, Michelle S. Kim, Maxine Harlemon, Mohamed Jalloh, Dillon Muzondiwa, Daphne Naidoo, Olabode O. Ajayi, Nana Yaa Snyper, Lamine Niang, Halimatou Diop, Medina Ndoye, James E. Mensah, Afua O. D. Abrahams, Richard Biritwum, Andrew A. Adjei, Akindele O. Adebiyi, Olayiwola Shittu, Olufemi Ogunbiyi, Sikiru Adebayo, Maxwell M. Nwegbu, Hafees O. Ajibola, Olabode P. Oluwole, Mustapha A. Jamda, Audrey Pentz, Christopher A. Haiman, Petrus V. Spies, André van der Merwe, Michael B. Cook, Stephen J. Chanock, Sonja I. Berndt, Stephen Watya, Alexander Lubwama, Mazvita Muchengeti, Sean Doherty, Natalie Smyth, David Lounsbury, Brian Fortier, Thomas E. Rohan, Judith S. Jacobson, Alfred I. Neugut, Ann W. Hsing, Alexander Gusev, Oseremen I. Aisuodionoe-Shadrach, Maureen Joffe, Ben Adusei, Serigne M. Gueye, Pedro W. Fernandez, Jo McBride, Caroline Andrews, Lindsay N. Petersen, Joseph Lachance, Timothy R. Rebbeck","doi":"10.1038/s41588-024-01931-3","DOIUrl":"10.1038/s41588-024-01931-3","url":null,"abstract":"Men of African descent have the highest prostate cancer incidence and mortality rates, yet the genetic basis of prostate cancer in African men has been understudied. We used genomic data from 3,963 cases and 3,509 controls from Ghana, Nigeria, Senegal, South Africa and Uganda to infer ancestry-specific genetic architectures and fine-map disease associations. Fifteen independent associations at 8q24.21, 6q22.1 and 11q13.3 reached genome-wide significance, including four new associations. Intriguingly, multiple lead associations are private alleles, a pattern arising from recent mutations and the out-of-Africa bottleneck. These African-specific alleles contribute to haplotypes with odds ratios above 2.4. We found that the genetic architecture of prostate cancer differs across Africa, with effect size differences contributing more to this heterogeneity than allele frequency differences. Population genetic analyses reveal that African prostate cancer associations are largely governed by neutral evolution. Collectively, our findings emphasize the utility of conducting genetic studies that use diverse populations. Genome-wide association analyses of prostate cancer in men from sub-Saharan Africa identify population-specific risk variants and regional differences in effect sizes. Founder effects contribute to continental differences in the genetic architecture of prostate cancer.","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":null,"pages":null},"PeriodicalIF":31.7,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142362867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-02DOI: 10.1038/s41588-024-01916-2
Eran Sdeor, Hajime Okada, Ron Saad, Tal Ben-Yishay, Uri Ben-David
Aneuploidy, an abnormal chromosome composition, is a major contributor to cancer development and progression and an important determinant of cancer therapeutic responses and clinical outcomes. Despite being recognized as a hallmark of human cancer, the exact role of aneuploidy as a ‘driver’ of cancer is still largely unknown. Identifying the specific genetic elements that underlie the recurrence of common aneuploidies remains a major challenge of cancer genetics. In this Review, we discuss recurrent aneuploidies and their function as drivers of tumor development. We then delve into the context-dependent identification and functional characterization of the driver genes underlying driver aneuploidies and examine emerging strategies to uncover these driver genes using cancer genomics data and cancer models. Lastly, we explore opportunities for targeting driver aneuploidies in cancer by leveraging the functional consequences of these common genetic alterations. This Review discusses recurrent aneuploidies driving human cancer, methods to identify them and strategies to uncover underlying driver genes. It highlights genomic and experimental approaches to study and ultimately target driver aneuploidies.
{"title":"Aneuploidy as a driver of human cancer","authors":"Eran Sdeor, Hajime Okada, Ron Saad, Tal Ben-Yishay, Uri Ben-David","doi":"10.1038/s41588-024-01916-2","DOIUrl":"10.1038/s41588-024-01916-2","url":null,"abstract":"Aneuploidy, an abnormal chromosome composition, is a major contributor to cancer development and progression and an important determinant of cancer therapeutic responses and clinical outcomes. Despite being recognized as a hallmark of human cancer, the exact role of aneuploidy as a ‘driver’ of cancer is still largely unknown. Identifying the specific genetic elements that underlie the recurrence of common aneuploidies remains a major challenge of cancer genetics. In this Review, we discuss recurrent aneuploidies and their function as drivers of tumor development. We then delve into the context-dependent identification and functional characterization of the driver genes underlying driver aneuploidies and examine emerging strategies to uncover these driver genes using cancer genomics data and cancer models. Lastly, we explore opportunities for targeting driver aneuploidies in cancer by leveraging the functional consequences of these common genetic alterations. This Review discusses recurrent aneuploidies driving human cancer, methods to identify them and strategies to uncover underlying driver genes. It highlights genomic and experimental approaches to study and ultimately target driver aneuploidies.","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":null,"pages":null},"PeriodicalIF":31.7,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142362746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-02DOI: 10.1038/s41588-024-01886-5
Immune recognition of cancers can be inhibited if the molecules that present cancer cell-specific antigens are disrupted. We have developed a tool that can detect four different types of disruption. Overall, we find that both genetic and non-genetic disruption of these molecules is common in lung and breast tumors.
{"title":"Genetic and non-genetic HLA disruption is widespread in lung and breast tumors","authors":"","doi":"10.1038/s41588-024-01886-5","DOIUrl":"10.1038/s41588-024-01886-5","url":null,"abstract":"Immune recognition of cancers can be inhibited if the molecules that present cancer cell-specific antigens are disrupted. We have developed a tool that can detect four different types of disruption. Overall, we find that both genetic and non-genetic disruption of these molecules is common in lung and breast tumors.","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":null,"pages":null},"PeriodicalIF":31.7,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142362865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-30DOI: 10.1038/s41588-024-01933-1
Sanghyeon Park, Soyeon Kim, Beomsu Kim, Dan Say Kim, Jaeyoung Kim, Yeeun Ahn, Hyejin Kim, Minku Song, Injeong Shim, Sang-Hyuk Jung, Chamlee Cho, Soohyun Lim, Sanghoon Hong, Hyeonbin Jo, Akl C. Fahed, Pradeep Natarajan, Patrick T. Ellinor, Ali Torkamani, Woong-Yang Park, Tae Yang Yu, Woojae Myung, Hong-Hee Won
Metabolic syndrome (MetS) is a complex hereditary condition comprising various metabolic traits as risk factors. Although the genetics of individual MetS components have been investigated actively through large-scale genome-wide association studies, the conjoint genetic architecture has not been fully elucidated. Here, we performed the largest multivariate genome-wide association study of MetS in Europe (nobserved = 4,947,860) by leveraging genetic correlation between MetS components. We identified 1,307 genetic loci associated with MetS that were enriched primarily in brain tissues. Using transcriptomic data, we identified 11 genes associated strongly with MetS. Our phenome-wide association and Mendelian randomization analyses highlighted associations of MetS with diverse diseases beyond cardiometabolic diseases. Polygenic risk score analysis demonstrated better discrimination of MetS and predictive power in European and East Asian populations. Altogether, our findings will guide future studies aimed at elucidating the genetic architecture of MetS.
{"title":"Multivariate genomic analysis of 5 million people elucidates the genetic architecture of shared components of the metabolic syndrome","authors":"Sanghyeon Park, Soyeon Kim, Beomsu Kim, Dan Say Kim, Jaeyoung Kim, Yeeun Ahn, Hyejin Kim, Minku Song, Injeong Shim, Sang-Hyuk Jung, Chamlee Cho, Soohyun Lim, Sanghoon Hong, Hyeonbin Jo, Akl C. Fahed, Pradeep Natarajan, Patrick T. Ellinor, Ali Torkamani, Woong-Yang Park, Tae Yang Yu, Woojae Myung, Hong-Hee Won","doi":"10.1038/s41588-024-01933-1","DOIUrl":"https://doi.org/10.1038/s41588-024-01933-1","url":null,"abstract":"<p>Metabolic syndrome (MetS) is a complex hereditary condition comprising various metabolic traits as risk factors. Although the genetics of individual MetS components have been investigated actively through large-scale genome-wide association studies, the conjoint genetic architecture has not been fully elucidated. Here, we performed the largest multivariate genome-wide association study of MetS in Europe (<i>n</i><sub>observed</sub> = 4,947,860) by leveraging genetic correlation between MetS components. We identified 1,307 genetic loci associated with MetS that were enriched primarily in brain tissues. Using transcriptomic data, we identified 11 genes associated strongly with MetS. Our phenome-wide association and Mendelian randomization analyses highlighted associations of MetS with diverse diseases beyond cardiometabolic diseases. Polygenic risk score analysis demonstrated better discrimination of MetS and predictive power in European and East Asian populations. Altogether, our findings will guide future studies aimed at elucidating the genetic architecture of MetS.</p>","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":null,"pages":null},"PeriodicalIF":30.8,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142329658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Machine learning (ML) has become increasingly popular in almost all scientific disciplines, including human genetics. Owing to challenges related to sample collection and precise phenotyping, ML-assisted genome-wide association study (GWAS), which uses sophisticated ML techniques to impute phenotypes and then performs GWAS on the imputed outcomes, have become increasingly common in complex trait genetics research. However, the validity of ML-assisted GWAS associations has not been carefully evaluated. Here, we report pervasive risks for false-positive associations in ML-assisted GWAS and introduce Post-Prediction GWAS (POP-GWAS), a statistical framework that redesigns GWAS on ML-imputed outcomes. POP-GWAS ensures valid and powerful statistical inference irrespective of imputation quality and choice of algorithm, requiring only GWAS summary statistics as input. We employed POP-GWAS to perform a GWAS of bone mineral density derived from dual-energy X-ray absorptiometry imaging at 14 skeletal sites, identifying 89 new loci and revealing skeletal site-specific genetic architecture. Our framework offers a robust analytic solution for future ML-assisted GWAS.
机器学习（ML）在包括人类遗传学在内的几乎所有科学学科中都越来越受欢迎。由于样本收集和精确表型方面的挑战，ML 辅助全基因组关联研究（GWAS）在复杂性状遗传学研究中越来越常见，该研究使用复杂的 ML 技术来推算表型，然后对推算结果进行 GWAS。然而，ML 辅助 GWAS 关联的有效性尚未得到仔细评估。在此，我们报告了 ML 辅助 GWAS 中普遍存在的假阳性关联风险，并介绍了预测后 GWAS（POP-GWAS）--一种在 ML 估算结果上重新设计 GWAS 的统计框架。POP-GWAS 不考虑估算质量和算法选择，只需将 GWAS 摘要统计作为输入，就能确保有效且强大的统计推断。我们利用 POP-GWAS 对 14 个骨骼部位的双能 X 射线吸收仪成像得出的骨矿物质密度进行了 GWAS 分析，发现了 89 个新的基因位点，并揭示了骨骼部位特异性遗传结构。我们的框架为未来的 ML 辅助 GWAS 提供了强大的分析解决方案。
{"title":"Valid inference for machine learning-assisted genome-wide association studies","authors":"Jiacheng Miao, Yixuan Wu, Zhongxuan Sun, Xinran Miao, Tianyuan Lu, Jiwei Zhao, Qiongshi Lu","doi":"10.1038/s41588-024-01934-0","DOIUrl":"https://doi.org/10.1038/s41588-024-01934-0","url":null,"abstract":"<p>Machine learning (ML) has become increasingly popular in almost all scientific disciplines, including human genetics. Owing to challenges related to sample collection and precise phenotyping, ML-assisted genome-wide association study (GWAS), which uses sophisticated ML techniques to impute phenotypes and then performs GWAS on the imputed outcomes, have become increasingly common in complex trait genetics research. However, the validity of ML-assisted GWAS associations has not been carefully evaluated. Here, we report pervasive risks for false-positive associations in ML-assisted GWAS and introduce Post-Prediction GWAS (POP-GWAS), a statistical framework that redesigns GWAS on ML-imputed outcomes. POP-GWAS ensures valid and powerful statistical inference irrespective of imputation quality and choice of algorithm, requiring only GWAS summary statistics as input. We employed POP-GWAS to perform a GWAS of bone mineral density derived from dual-energy X-ray absorptiometry imaging at 14 skeletal sites, identifying 89 new loci and revealing skeletal site-specific genetic architecture. Our framework offers a robust analytic solution for future ML-assisted GWAS.</p>","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":null,"pages":null},"PeriodicalIF":30.8,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142329615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-27DOI: 10.1038/s41588-024-01936-y
Edda G. Schulz, Alexandra Martitz
The mammalian inactive X chromosome shows unusual folding dominated by large-scale structures. A study finds a megadomain structure with a boundary at the Xist locus, preceding the well-known Dxz4-separated megadomains in somatic cells.
哺乳动物的非活性 X 染色体显示出以大规模结构为主的不寻常折叠。一项研究发现，在体细胞中众所周知的Dxz4分隔的巨型结构之前，Xist基因座上有一个具有边界的巨型结构。
{"title":"Structural remodeling of the inactive X chromosome during early mouse development","authors":"Edda G. Schulz, Alexandra Martitz","doi":"10.1038/s41588-024-01936-y","DOIUrl":"10.1038/s41588-024-01936-y","url":null,"abstract":"The mammalian inactive X chromosome shows unusual folding dominated by large-scale structures. A study finds a megadomain structure with a boundary at the Xist locus, preceding the well-known Dxz4-separated megadomains in somatic cells.","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":null,"pages":null},"PeriodicalIF":31.7,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142321964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-27DOI: 10.1038/s41588-024-01918-0
We identified methylated tandem repeat expansions that resemble the FMR1 CGG repeat that causes fragile X syndrome and investigated their association with traits in the UK Biobank. AFF3 expansion carriers had a 2.4-fold reduced probability of completing secondary education and were enriched in a cohort of individuals with intellectual disability.
{"title":"Methylated GCC repeat expansion in AFF3 associates with intellectual disability","authors":"","doi":"10.1038/s41588-024-01918-0","DOIUrl":"https://doi.org/10.1038/s41588-024-01918-0","url":null,"abstract":"We identified methylated tandem repeat expansions that resemble the FMR1 CGG repeat that causes fragile X syndrome and investigated their association with traits in the UK Biobank. AFF3 expansion carriers had a 2.4-fold reduced probability of completing secondary education and were enriched in a cohort of individuals with intellectual disability.","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":null,"pages":null},"PeriodicalIF":30.8,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142321967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-27DOI: 10.1038/s41588-024-01887-4
Primary cell cultures need to be frequently passaged, which limits the study of long-term biological processes, such as how mutant clones colonize aging epithelia. Esophageal epithelioids self-maintain for months, recapitulating progenitor cell behavior in vivo. Epithelioid CRISPR–Cas9 screens reveal genes encoding molecules that control cell fitness.
{"title":"Long-term 3D primary epithelioid cultures reveal genes that regulate esophageal cell fitness","authors":"","doi":"10.1038/s41588-024-01887-4","DOIUrl":"10.1038/s41588-024-01887-4","url":null,"abstract":"Primary cell cultures need to be frequently passaged, which limits the study of long-term biological processes, such as how mutant clones colonize aging epithelia. Esophageal epithelioids self-maintain for months, recapitulating progenitor cell behavior in vivo. Epithelioid CRISPR–Cas9 screens reveal genes encoding molecules that control cell fitness.","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":null,"pages":null},"PeriodicalIF":31.7,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142321978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-27DOI: 10.1038/s41588-024-01935-z
Cory Abate-Shen
A co-factor for the androgen receptor, NSD2, provides insights into context-specific functions of the androgen receptor and is a new target for intervention.
{"title":"Context-specific targeting of the androgen receptor in prostate cancer","authors":"Cory Abate-Shen","doi":"10.1038/s41588-024-01935-z","DOIUrl":"10.1038/s41588-024-01935-z","url":null,"abstract":"A co-factor for the androgen receptor, NSD2, provides insights into context-specific functions of the androgen receptor and is a new target for intervention.","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":null,"pages":null},"PeriodicalIF":31.7,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142321968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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