@article {151,
	title = {Association of structural variation with cardiometabolic traits in Finns.},
	journal = {Am J Hum Genet},
	volume = {108},
	year = {2021},
	month = {2021 04 01},
	pages = {583-596},
	abstract = {<p>The contribution of genome structural variation (SV) to quantitative traits associated with cardiometabolic diseases remains largely unknown. Here, we present the results of a study examining genetic association between SVs and cardiometabolic traits in the Finnish population. We used sensitive methods to identify and genotype 129,166 high-confidence SVs from deep whole-genome sequencing (WGS) data of 4,848 individuals. We tested the 64,572 common and low-frequency SVs for association with 116 quantitative traits and tested candidate associations using exome sequencing and array genotype data from an additional 15,205 individuals. We discovered 31 genome-wide significant associations at 15 loci, including 2 loci at which SVs have strong phenotypic effects: (1) a deletion of the ALB promoter that is greatly enriched in the Finnish population and causes decreased serum albumin level in carriers (p = 1.47~{\texttimes} 10) and is also associated with increased levels of total cholesterol (p = 1.22~{\texttimes} 10) and 14 additional cholesterol-related traits, and (2) a multi-allelic copy number variant (CNV) at PDPR that is strongly associated with pyruvate (p = 4.81~{\texttimes} 10) and alanine (p = 6.14~{\texttimes} 10) levels and resides within a structurally complex genomic region that has accumulated many rearrangements over evolutionary time. We also confirmed six previously reported associations, including five led by stronger signals in single nucleotide variants (SNVs) and one linking recurrent HP gene deletion and cholesterol levels (p = 6.24~{\texttimes} 10), which was also found to be strongly associated with increased glycoprotein level (p = 3.53~{\texttimes} 10). Our study confirms that integrating SVs in trait-mapping studies will expand our knowledge of genetic factors underlying disease risk.</p>},
	keywords = {Alleles, Cardiovascular Diseases, Cholesterol, DNA Copy Number Variations, Female, Finland, Genome, Human, Genomic Structural Variation, Genotype, High-Throughput Nucleotide Sequencing, Humans, Male, Mitochondrial Proteins, Promoter Regions, Genetic, Pyruvate Dehydrogenase (Lipoamide)-Phosphatase, Pyruvic Acid, Serum Albumin, Human},
	issn = {1537-6605},
	doi = {10.1016/j.ajhg.2021.03.008},
	author = {Chen, Lei and Abel, Haley J and Das, Indraniel and Larson, David E and Ganel, Liron and Kanchi, Krishna L and Regier, Allison A and Young, Erica P and Kang, Chul Joo and Scott, Alexandra J and Chiang, Colby and Wang, Xinxin and Lu, Shuangjia and Christ, Ryan and Service, Susan K and Chiang, Charleston W K and Havulinna, Aki S and Kuusisto, Johanna and Boehnke, Michael and Laakso, Markku and Palotie, Aarno and Ripatti, Samuli and Freimer, Nelson B and Locke, Adam E and Stitziel, Nathan O and Hall, Ira M}
}
@article {119,
	title = {Identification of Required Host Factors for SARS-CoV-2 Infection in Human Cells.},
	journal = {Cell},
	volume = {184},
	year = {2021},
	month = {2021 01 07},
	pages = {92-105.e16},
	abstract = {<p>To better understand host-virus genetic dependencies and find potential therapeutic targets for COVID-19, we performed a genome-scale CRISPR loss-of-function screen to identify host factors required for SARS-CoV-2 viral infection of human alveolar epithelial cells. Top-ranked genes cluster into distinct pathways, including the vacuolar ATPase proton pump, Retromer, and Commander complexes. We validate these gene targets using several orthogonal methods such as CRISPR knockout, RNA interference knockdown, and small-molecule inhibitors. Using single-cell RNA-sequencing, we identify shared transcriptional changes in cholesterol biosynthesis upon loss of top-ranked genes. In addition, given the key role of the ACE2 receptor in the early stages of viral entry, we show that loss of RAB7A reduces viral entry by sequestering the ACE2 receptor inside cells. Overall, this work provides a genome-scale, quantitative resource of the impact of the loss of each host gene on fitness/response to viral infection.</p>},
	keywords = {A549 Cells, Alveolar Epithelial Cells, Angiotensin-Converting Enzyme 2, Biosynthetic Pathways, Cholesterol, Clustered Regularly Interspaced Short Palindromic Repeats, COVID-19, Endosomes, Gene Expression Profiling, Gene Knockdown Techniques, Gene Knockout Techniques, Genome-Wide Association Study, Host-Pathogen Interactions, Humans, rab GTP-Binding Proteins, rab7 GTP-Binding Proteins, RNA Interference, SARS-CoV-2, Single-Cell Analysis, Viral Load},
	issn = {1097-4172},
	doi = {10.1016/j.cell.2020.10.030},
	author = {Daniloski, Zharko and Jordan, Tristan X and Wessels, Hans-Hermann and Hoagland, Daisy A and Kasela, Silva and Legut, Mateusz and Maniatis, Silas and Mimitou, Eleni P and Lu, Lu and Geller, Evan and Danziger, Oded and Rosenberg, Brad R and Phatnani, Hemali and Smibert, Peter and Lappalainen, Tuuli and tenOever, Benjamin R and Sanjana, Neville E}
}
