Annual review of genomics and human genetics最新文献

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The Regulation of Mitochondrial Replacement Techniques Around the World. 全球对线粒体替代技术的监管。
IF 8.7 2区 生物学
Annual review of genomics and human genetics Pub Date : 2020-08-31 Epub Date: 2020-01-21 DOI: 10.1146/annurev-genom-111119-101815
I Glenn Cohen, Eli Y Adashi, Sara Gerke, César Palacios-González, Vardit Ravitsky
{"title":"The Regulation of Mitochondrial Replacement Techniques Around the World.","authors":"I Glenn Cohen,&nbsp;Eli Y Adashi,&nbsp;Sara Gerke,&nbsp;César Palacios-González,&nbsp;Vardit Ravitsky","doi":"10.1146/annurev-genom-111119-101815","DOIUrl":"https://doi.org/10.1146/annurev-genom-111119-101815","url":null,"abstract":"<p><p>Mitochondrial replacement techniques (MRTs, also referred to as mitochondrial replacement therapies) have given hope to many women who wish to have genetically related children but have mitochondrial DNA mutations in their eggs. MRTs have also spurred deep ethical disagreements and led to different regulatory approaches worldwide. In this review, we discuss the current regulation of MRTs across several countries. After discussing the basics of the science, we describe the current law and policy directions in seven countries: the United Kingdom, the United States, Canada, Australia, Germany, Israel, and Singapore. We also discuss the emerging phenomenon of medical tourism (also called medical travel) for MRTs to places like Greece, Spain, Mexico, and Ukraine. We then pull out some key findings regarding similarities and differences in regulatory approaches around the world.</p>","PeriodicalId":8231,"journal":{"name":"Annual review of genomics and human genetics","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev-genom-111119-101815","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37562228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 18
Genomic Data Sharing for Novel Mendelian Disease Gene Discovery: The Matchmaker Exchange. 新型孟德尔病基因发现的基因组数据共享:媒人交换。
IF 8.7 2区 生物学
Annual review of genomics and human genetics Pub Date : 2020-08-31 Epub Date: 2020-04-27 DOI: 10.1146/annurev-genom-083118-014915
Danielle R Azzariti, Ada Hamosh
{"title":"Genomic Data Sharing for Novel Mendelian Disease Gene Discovery: The Matchmaker Exchange.","authors":"Danielle R Azzariti,&nbsp;Ada Hamosh","doi":"10.1146/annurev-genom-083118-014915","DOIUrl":"https://doi.org/10.1146/annurev-genom-083118-014915","url":null,"abstract":"<p><p>In the last decade, exome and/or genome sequencing has become a common test in the diagnosis of individuals with features of a rare Mendelian disorder. Despite its success, this test leaves the majority of tested individuals undiagnosed. This review describes the Matchmaker Exchange (MME), a federated network established to facilitate the solving of undiagnosed rare-disease cases through data sharing. MME supports genomic matchmaking, the act of connecting two or more parties looking for cases with similar phenotypes and variants in the same candidate genes. An application programming interface currently connects six matchmaker nodes-the Database of Chromosomal Imbalance and Phenotype in Humans Using Ensembl Resources (DECIPHER), GeneMatcher, PhenomeCentral, <i>seqr,</i> MyGene2, and the Initiative on Rare and Undiagnosed Diseases (IRUD) Exchange-resulting in a collective data set spanning more than 150,000 cases from more than 11,000 contributors in 88 countries. Here, we describe the successes and challenges of MME, its individual matchmaking nodes, plans for growing the network, and considerations for future directions.</p>","PeriodicalId":8231,"journal":{"name":"Annual review of genomics and human genetics","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev-genom-083118-014915","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37875847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 29
Cell Lineage Tracing and Cellular Diversity in Humans. 人类细胞谱系追踪和细胞多样性。
IF 8.7 2区 生物学
Annual review of genomics and human genetics Pub Date : 2020-08-31 Epub Date: 2020-05-15 DOI: 10.1146/annurev-genom-083118-015241
Alexej Abyzov, Flora M Vaccarino
{"title":"Cell Lineage Tracing and Cellular Diversity in Humans.","authors":"Alexej Abyzov,&nbsp;Flora M Vaccarino","doi":"10.1146/annurev-genom-083118-015241","DOIUrl":"https://doi.org/10.1146/annurev-genom-083118-015241","url":null,"abstract":"<p><p>Tracing cell lineages is fundamental for understanding the rules governing development in multicellular organisms and delineating complex biological processes involving the differentiation of multiple cell types with distinct lineage hierarchies. In humans, experimental lineage tracing is unethical, and one has to rely on natural-mutation markers that are created within cells as they proliferate and age. Recent studies have demonstrated that it is now possible to trace lineages in normal, noncancerous cells with a variety of data types using natural variations in the nuclear and mitochondrial DNA as well as variations in DNA methylation status. It is also apparent that the scientific community is on the verge of being able to make a comprehensive and detailed cell lineage map of human embryonic and fetal development. In this review, we discuss the advantages and disadvantages of different approaches and markers for lineage tracing. We also describe the general conceptual design for how to derive a lineage map for humans.</p>","PeriodicalId":8231,"journal":{"name":"Annual review of genomics and human genetics","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev-genom-083118-015241","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37941222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Genetic Influences on Disease Subtypes. 基因对疾病亚型的影响。
IF 8.7 2区 生物学
Annual review of genomics and human genetics Pub Date : 2020-08-31 DOI: 10.1146/annurev-genom-120319-095026
Andy Dahl, Noah Zaitlen
{"title":"Genetic Influences on Disease Subtypes.","authors":"Andy Dahl,&nbsp;Noah Zaitlen","doi":"10.1146/annurev-genom-120319-095026","DOIUrl":"https://doi.org/10.1146/annurev-genom-120319-095026","url":null,"abstract":"<p><p>Disease classification, or nosology, was historically driven by careful examination of clinical features of patients. As technologies to measure and understand human phenotypes advanced, so too did classifications of disease, and the advent of genetic data has led to a surge in genetic subtyping in the past decades. Although the fundamental process of refining disease definitions and subtypes is shared across diverse fields, each field is driven by its own goals and technological expertise, leading to inconsistent and conflicting definitions of disease subtypes. Here, we review several classical and recent subtypes and subtyping approaches and provide concrete definitions to delineate subtypes. In particular, we focus on subtypes with distinct causal disease biology, which are of primary interest to scientists, and subtypes with pragmatic medical benefits, which are of primary interest to physicians. We propose genetic heterogeneity as a gold standard for establishing biologically distinct subtypes of complex polygenic disease. We focus especially on methods to find and validate genetic subtypes, emphasizing common pitfalls and how to avoid them.</p>","PeriodicalId":8231,"journal":{"name":"Annual review of genomics and human genetics","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev-genom-120319-095026","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38333527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 20
Population Screening for Inherited Predisposition to Breast and Ovarian Cancer. 乳腺癌和卵巢癌遗传倾向的人群筛查。
IF 8.7 2区 生物学
Annual review of genomics and human genetics Pub Date : 2020-08-31 Epub Date: 2020-04-21 DOI: 10.1146/annurev-genom-083118-015253
Ranjit Manchanda, Sari Lieberman, Faiza Gaba, Amnon Lahad, Ephrat Levy-Lahad
{"title":"Population Screening for Inherited Predisposition to Breast and Ovarian Cancer.","authors":"Ranjit Manchanda,&nbsp;Sari Lieberman,&nbsp;Faiza Gaba,&nbsp;Amnon Lahad,&nbsp;Ephrat Levy-Lahad","doi":"10.1146/annurev-genom-083118-015253","DOIUrl":"https://doi.org/10.1146/annurev-genom-083118-015253","url":null,"abstract":"<p><p>The discovery of genes underlying inherited predisposition to breast and ovarian cancer has revolutionized the ability to identify women at high risk for these diseases before they become affected. Women who are carriers of deleterious variants in these genes can undertake surveillance and prevention measures that have been shown to reduce morbidity and mortality. However, under current strategies, the vast majority of women carriers remain undetected until they become affected. In this review, we show that universal testing, particularly of the <i>BRCA1</i> and <i>BRCA2</i> genes, fulfills classical disease screening criteria. This is especially true for <i>BRCA1</i> and <i>BRCA2</i> in Ashkenazi Jews but is translatable to all populations and may include additional genes. Utilizing genetic information for large-scale precision prevention requires a paradigmatic shift in health-care delivery. To address this need, we propose a direct-to-patient model, which is increasingly pertinent for fulfilling the promise of utilizing personal genomic information for disease prevention.</p>","PeriodicalId":8231,"journal":{"name":"Annual review of genomics and human genetics","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev-genom-083118-015253","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37857122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 23
An Accidental Genetic Epidemiologist. 偶然遗传流行病学家。
IF 8.7 2区 生物学
Annual review of genomics and human genetics Pub Date : 2020-08-31 Epub Date: 2020-01-14 DOI: 10.1146/annurev-genom-103119-125052
Robert C Elston
{"title":"An Accidental Genetic Epidemiologist.","authors":"Robert C Elston","doi":"10.1146/annurev-genom-103119-125052","DOIUrl":"https://doi.org/10.1146/annurev-genom-103119-125052","url":null,"abstract":"<p><p>I briefly describe my early life and how, through a series of serendipitous events, I became a genetic epidemiologist. I discuss how the Elston-Stewart algorithm was discovered and its contribution to segregation, linkage, and association analysis. New linkage findings and paternity testing resulted from having a genotyping lab. The different meanings of interaction-statistical and biological-are clarified. The computer package S.A.G.E. (Statistical Analysis for Genetic Epidemiology), based on extensive method development over two decades, was conceived in 1986, flourished for 20 years, and is now freely available for use and further development. Finally, I describe methods to estimate and test hypotheses about familial correlations, and point out that the liability model often used to estimate disease heritability estimates the heritability of that liability, rather than of the disease itself, and so can be highly dependent on the assumed distribution of that liability.</p>","PeriodicalId":8231,"journal":{"name":"Annual review of genomics and human genetics","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev-genom-103119-125052","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37540718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
New Diagnostic Approaches for Undiagnosed Rare Genetic Diseases. 未诊断罕见遗传病的新诊断方法。
IF 8.7 2区 生物学
Annual review of genomics and human genetics Pub Date : 2020-08-31 Epub Date: 2020-04-13 DOI: 10.1146/annurev-genom-083118-015345
Taila Hartley, Gabrielle Lemire, Kristin D Kernohan, Heather E Howley, David R Adams, Kym M Boycott
{"title":"New Diagnostic Approaches for Undiagnosed Rare Genetic Diseases.","authors":"Taila Hartley,&nbsp;Gabrielle Lemire,&nbsp;Kristin D Kernohan,&nbsp;Heather E Howley,&nbsp;David R Adams,&nbsp;Kym M Boycott","doi":"10.1146/annurev-genom-083118-015345","DOIUrl":"https://doi.org/10.1146/annurev-genom-083118-015345","url":null,"abstract":"<p><p>Accurate diagnosis is the cornerstone of medicine; it is essential for informed care and promoting patient and family well-being. However, families with a rare genetic disease (RGD) often spend more than five years on a diagnostic odyssey of specialist visits and invasive testing that is lengthy, costly, and often futile, as 50% of patients do not receive a molecular diagnosis. The current diagnostic paradigm is not well designed for RGDs, especially for patients who remain undiagnosed after the initial set of investigations, and thus requires an expansion of approaches in the clinic. Leveraging opportunities to participate in research programs that utilize new technologies to understand RGDs is an important path forward for patients seeking a diagnosis. Given recent advancements in such technologies and international initiatives, the prospect of identifying a molecular diagnosis for all patients with RGDs has never been so attainable, but achieving this goal will require global cooperation at an unprecedented scale.</p>","PeriodicalId":8231,"journal":{"name":"Annual review of genomics and human genetics","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev-genom-083118-015345","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37830020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 55
Using Single-Cell and Spatial Transcriptomes to Understand Stem Cell Lineage Specification During Early Embryo Development. 利用单细胞和空间转录组了解胚胎早期发育过程中的干细胞谱系特征。
IF 8.7 2区 生物学
Annual review of genomics and human genetics Pub Date : 2020-08-31 Epub Date: 2020-04-27 DOI: 10.1146/annurev-genom-120219-083220
Guangdun Peng, Guizhong Cui, Jincan Ke, Naihe Jing
{"title":"Using Single-Cell and Spatial Transcriptomes to Understand Stem Cell Lineage Specification During Early Embryo Development.","authors":"Guangdun Peng,&nbsp;Guizhong Cui,&nbsp;Jincan Ke,&nbsp;Naihe Jing","doi":"10.1146/annurev-genom-120219-083220","DOIUrl":"https://doi.org/10.1146/annurev-genom-120219-083220","url":null,"abstract":"<p><p>Embryonic development and stem cell differentiation provide a paradigm to understand the molecular regulation of coordinated cell fate determination and the architecture of tissue patterning. Emerging technologies such as single-cell RNA sequencing and spatial transcriptomics are opening new avenues to dissect cell organization, the divergence of morphological and molecular properties, and lineage allocation. Rapid advances in experimental and computational tools have enabled researchers to make many discoveries and revisit old hypotheses. In this review, we describe the use of single-cell RNA sequencing in studies of molecular trajectories and gene regulation networks for stem cell lineages, while highlighting the integratedexperimental and computational analysis of single-cell and spatial transcriptomes in the molecular annotation of tissue lineages and development during postimplantation gastrulation.</p>","PeriodicalId":8231,"journal":{"name":"Annual review of genomics and human genetics","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev-genom-120219-083220","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37875848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 26
The Genetics of Epilepsy. 癫痫的遗传学。
IF 8.7 2区 生物学
Annual review of genomics and human genetics Pub Date : 2020-08-31 Epub Date: 2020-04-27 DOI: 10.1146/annurev-genom-120219-074937
Piero Perucca, Melanie Bahlo, Samuel F Berkovic
{"title":"The Genetics of Epilepsy.","authors":"Piero Perucca,&nbsp;Melanie Bahlo,&nbsp;Samuel F Berkovic","doi":"10.1146/annurev-genom-120219-074937","DOIUrl":"https://doi.org/10.1146/annurev-genom-120219-074937","url":null,"abstract":"<p><p>Epilepsy encompasses a group of heterogeneous brain diseases that affect more than 50 million people worldwide. Epilepsy may have discernible structural, infectious, metabolic, and immune etiologies; however, in most people with epilepsy, no obvious cause is identifiable. Based initially on family studies and later on advances in gene sequencing technologies and computational approaches, as well as the establishment of large collaborative initiatives, we now know that genetics plays a much greater role in epilepsy than was previously appreciated. Here, we review the progress in the field of epilepsy genetics and highlight molecular discoveries in the most important epilepsy groups, including those that have been long considered to have a nongenetic cause. We discuss where the field of epilepsy genetics is moving as it enters a new era in which the genetic architecture of common epilepsies is starting to be unraveled.</p>","PeriodicalId":8231,"journal":{"name":"Annual review of genomics and human genetics","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev-genom-120219-074937","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37875849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 73
Pangenome Graphs. Pangenome Graphs。
IF 8.7 2区 生物学
Annual review of genomics and human genetics Pub Date : 2020-08-31 Epub Date: 2020-05-26 DOI: 10.1146/annurev-genom-120219-080406
Jordan M Eizenga, Adam M Novak, Jonas A Sibbesen, Simon Heumos, Ali Ghaffaari, Glenn Hickey, Xian Chang, Josiah D Seaman, Robin Rounthwaite, Jana Ebler, Mikko Rautiainen, Shilpa Garg, Benedict Paten, Tobias Marschall, Jouni Sirén, Erik Garrison
{"title":"Pangenome Graphs.","authors":"Jordan M Eizenga,&nbsp;Adam M Novak,&nbsp;Jonas A Sibbesen,&nbsp;Simon Heumos,&nbsp;Ali Ghaffaari,&nbsp;Glenn Hickey,&nbsp;Xian Chang,&nbsp;Josiah D Seaman,&nbsp;Robin Rounthwaite,&nbsp;Jana Ebler,&nbsp;Mikko Rautiainen,&nbsp;Shilpa Garg,&nbsp;Benedict Paten,&nbsp;Tobias Marschall,&nbsp;Jouni Sirén,&nbsp;Erik Garrison","doi":"10.1146/annurev-genom-120219-080406","DOIUrl":"https://doi.org/10.1146/annurev-genom-120219-080406","url":null,"abstract":"<p><p>Low-cost whole-genome assembly has enabled the collection of haplotype-resolved pangenomes for numerous organisms. In turn, this technological change is encouraging the development of methods that can precisely address the sequence and variation described in large collections of related genomes. These approaches often use graphical models of the pangenome to support algorithms for sequence alignment, visualization, functional genomics, and association studies. The additional information provided to these methods by the pangenome allows them to achieve superior performance on a variety of bioinformatic tasks, including read alignment, variant calling, and genotyping. Pangenome graphs stand to become a ubiquitous tool in genomics. Although it is unclear whether they will replace linearreference genomes, their ability to harmoniously relate multiple sequence and coordinate systems will make them useful irrespective of which pangenomic models become most common in the future.</p>","PeriodicalId":8231,"journal":{"name":"Annual review of genomics and human genetics","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev-genom-120219-080406","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37977111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 92
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