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A positively selected FBN1 missense variant reduces height in Peruvian individuals 期刊论文
NATURE, 2020, 582 (7811) : 234-+
作者:  Bedford, Jonathan R.;  Moreno, Marcos;  Deng, Zhiguo;  Oncken, Onno;  Schurr, Bernd;  John, Timm;  Baez, Juan Carlos;  Bevis, Michael
收藏  |  浏览/下载:14/0  |  提交时间:2020/07/03

On average, Peruvian individuals are among the shortest in the world(1). Here we show that Native American ancestry is associated with reduced height in an ethnically diverse group of Peruvian individuals, and identify a population-specific, missense variant in the FBN1 gene (E1297G) that is significantly associated with lower height. Each copy of the minor allele (frequency of 4.7%) reduces height by 2.2 cm (4.4 cm in homozygous individuals). To our knowledge, this is the largest effect size known for a common height-associated variant. FBN1 encodes the extracellular matrix protein fibrillin 1, which is a major structural component of microfibrils. We observed less densely packed fibrillin-1-rich microfibrils with irregular edges in the skin of individuals who were homozygous for G1297 compared with individuals who were homozygous for E1297. Moreover, we show that the E1297G locus is under positive selection in non-African populations, and that the E1297 variant shows subtle evidence of positive selection specifically within the Peruvian population. This variant is also significantly more frequent in coastal Peruvian populations than in populations from the Andes or the Amazon, which suggests that short stature might be the result of adaptation to factors that are associated with the coastal environment in Peru.


In an ethnically diverse group of Peruvian individuals, the population-specific, missense variant in FBN1 (E1297G) is associated with lower height and shows evidence of positive selection within the Peruvian population.


  
Patterns of somatic structural variation in human cancer genomes 期刊论文
NATURE, 2020, 578 (7793) : 112-+
作者:  Wan, Liling;  Chong, Shasha;  Xuan, Fan;  Liang, Angela;  Cui, Xiaodong;  Gates, Leah;  Carroll, Thomas S.;  Li, Yuanyuan;  Feng, Lijuan;  Chen, Guochao;  Wang, Shu-Ping;  Ortiz, Michael V.;  Daley, Sara K.;  Wang, Xiaolu;  Xuan, Hongwen;  Kentsis, Alex;  Muir, Tom W.;  Roeder, Robert G.;  Li, Haitao;  Li, Wei;  Tjian, Robert;  Wen, Hong;  Allis, C. David
收藏  |  浏览/下载:36/0  |  提交时间:2020/07/03

A key mutational process in cancer is structural variation, in which rearrangements delete, amplify or reorder genomic segments that range in size from kilobases to whole chromosomes(1-7). Here we develop methods to group, classify and describe somatic structural variants, using data from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA), which aggregated whole-genome sequencing data from 2,658 cancers across 38 tumour types(8). Sixteen signatures of structural variation emerged. Deletions have a multimodal size distribution, assort unevenly across tumour types and patients, are enriched in late-replicating regions and correlate with inversions. Tandem duplications also have a multimodal size distribution, but are enriched in early-replicating regions-as are unbalanced translocations. Replication-based mechanisms of rearrangement generate varied chromosomal structures with low-level copy-number gains and frequent inverted rearrangements. One prominent structure consists of 2-7 templates copied from distinct regions of the genome strung together within one locus. Such cycles of templated insertions correlate with tandem duplications, and-in liver cancerfrequently activate the telomerase gene TERT. A wide variety of rearrangement processes are active in cancer, which generate complex configurations of the genome upon which selection can act.