Literature DB >> 34554789

From variant to function in human disease genetics.

Tuuli Lappalainen1,2, Daniel G MacArthur3,4,5.   

Abstract

Over the next decade, the primary challenge in human genetics will be to understand the biological mechanisms by which genetic variants influence phenotypes, including disease risk. Although the scale of this challenge is daunting, better methods for functional variant interpretation will have transformative consequences for disease diagnosis, risk prediction, and the development of new therapies. An array of new methods for characterizing variant impact at scale, using patient tissue samples as well as in vitro models, are already being applied to dissect variant mechanisms across a range of human cell types and environments. These approaches are also increasingly being deployed in clinical settings. We discuss the rationale, approaches, applications, and future outlook for characterizing the molecular and cellular effects of genetic variants.

Entities:  

Mesh:

Year:  2021        PMID: 34554789     DOI: 10.1126/science.abi8207

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  7 in total

1.  An Active Learning Framework Improves Tumor Variant Interpretation.

Authors:  Alexandra M Blee; Bian Li; Turner Pecen; Jens Meiler; Zachary D Nagel; John A Capra; Walter J Chazin
Journal:  Cancer Res       Date:  2022-08-03       Impact factor: 13.312

Review 2.  Genetics of circadian rhythms and sleep in human health and disease.

Authors:  Jacqueline M Lane; Jingyi Qian; Emmanuel Mignot; Susan Redline; Frank A J L Scheer; Richa Saxena
Journal:  Nat Rev Genet       Date:  2022-08-26       Impact factor: 59.581

3.  Identifying intragenic functional modules of genomic variations associated with cancer phenotypes by learning representation of association networks.

Authors:  Minsu Kim; Jennifer E Huffman; Amy Justice; Ian Goethert; Greeshma Agasthya; Ioana Danciu
Journal:  BMC Med Genomics       Date:  2022-07-06       Impact factor: 3.622

4.  Learning from natural variation across the proteomes of single cells.

Authors:  Nikolai Slavov
Journal:  PLoS Biol       Date:  2022-01-05       Impact factor: 8.029

Review 5.  Rare catastrophes and evolutionary legacies: human germline gene variants in MLKL and the necroptosis signalling pathway.

Authors:  Sarah E Garnish; Joanne M Hildebrand
Journal:  Biochem Soc Trans       Date:  2022-02-28       Impact factor: 4.919

6.  Identification of genetic polymorphisms in unexplained recurrent spontaneous abortion based on whole exome sequencing.

Authors:  Jiang-Tao Mou; Shi-Xing Huang; Li-Li Yu; Jing Xu; Qiao-Ling Deng; Yi-Shan Xie; Kun Deng
Journal:  Ann Transl Med       Date:  2022-05

7.  Identification of TMEM129, encoding a ubiquitin-protein ligase, as an effector gene of osteoarthritis genetic risk.

Authors:  Abby Brumwell; Guillaume Aubourg; Juhel Hussain; Eleanor Parker; David J Deehan; Sarah J Rice; John Loughlin
Journal:  Arthritis Res Ther       Date:  2022-08-08       Impact factor: 5.606

  7 in total

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