@article {131,
	title = {A missense variant in Mitochondrial Amidoxime Reducing Component 1 gene and protection against liver disease.},
	journal = {PLoS Genet},
	volume = {16},
	year = {2020},
	month = {2020 04},
	pages = {e1008629},
	abstract = {<p>Analyzing 12,361 all-cause cirrhosis cases and 790,095 controls from eight cohorts, we identify a common missense variant in the Mitochondrial Amidoxime Reducing Component 1 gene (MARC1 p.A165T) that associates with protection from all-cause cirrhosis (OR 0.91, p = 2.3*10-11). This same variant also associates with lower levels of hepatic fat on computed tomographic imaging and lower odds of physician-diagnosed fatty liver as well as lower blood levels of alanine transaminase (-0.025 SD, 3.7*10-43), alkaline phosphatase (-0.025 SD, 1.2*10-37), total cholesterol (-0.030 SD, p = 1.9*10-36) and LDL cholesterol (-0.027 SD, p = 5.1*10-30) levels. We identified a series of additional MARC1 alleles (low-frequency missense p.M187K and rare protein-truncating p.R200Ter) that also associated with lower cholesterol levels, liver enzyme levels and reduced risk of cirrhosis (0 cirrhosis cases for 238 R200Ter carriers versus 17,046 cases of cirrhosis among 759,027 non-carriers, p = 0.04) suggesting that deficiency of the MARC1 enzyme may lower blood cholesterol levels and protect against cirrhosis.</p>},
	keywords = {Alleles, Cholesterol, LDL, Coronary Artery Disease, Datasets as Topic, Fatty Liver, Female, Genetic Predisposition to Disease, Homozygote, Humans, Liver, Liver Cirrhosis, Liver Cirrhosis, Alcoholic, Loss of Function Mutation, Male, Middle Aged, Mitochondrial Proteins, Mutation, Missense, Oxidoreductases},
	issn = {1553-7404},
	doi = {10.1371/journal.pgen.1008629},
	author = {Emdin, Connor A and Haas, Mary E and Khera, Amit V and Aragam, Krishna and Chaffin, Mark and Klarin, Derek and Hindy, George and Jiang, Lan and Wei, Wei-Qi and Feng, Qiping and Karjalainen, Juha and Havulinna, Aki and Kiiskinen, Tuomo and Bick, Alexander and Ardissino, Diego and Wilson, James G and Schunkert, Heribert and McPherson, Ruth and Watkins, Hugh and Elosua, Roberto and Bown, Matthew J and Samani, Nilesh J and Baber, Usman and Erdmann, Jeanette and Gupta, Namrata and Danesh, John and Saleheen, Danish and Chang, Kyong-Mi and Vujkovic, Marijana and Voight, Ben and Damrauer, Scott and Lynch, Julie and Kaplan, David and Serper, Marina and Tsao, Philip and Mercader, Josep and Hanis, Craig and Daly, Mark and Denny, Joshua and Gabriel, Stacey and Kathiresan, Sekar}
}
@article {43,
	title = {Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations.},
	journal = {Nat Genet},
	volume = {50},
	year = {2018},
	month = {2018 Sep},
	pages = {1219-1224},
	abstract = {<p>A key public health need is to identify individuals at high risk for a given disease to enable enhanced screening or preventive therapies. Because most common diseases have a genetic component, one important approach is to stratify individuals based on inherited DNA variation. Proposed clinical applications have largely focused on finding carriers of rare monogenic mutations at several-fold increased risk. Although most disease risk is polygenic in nature, it has not yet been possible to use polygenic predictors to identify individuals at risk comparable to monogenic mutations. Here, we develop and validate genome-wide polygenic scores for five common diseases. The approach identifies 8.0, 6.1, 3.5, 3.2, and 1.5\% of the population at greater than threefold increased risk for coronary artery disease, atrial fibrillation, type 2 diabetes, inflammatory bowel disease, and breast cancer, respectively. For coronary artery disease, this prevalence is 20-fold higher than the carrier frequency of rare monogenic mutations conferring comparable risk. We propose that it is time to contemplate the inclusion of polygenic risk prediction in clinical care, and discuss relevant issues.</p>},
	issn = {1546-1718},
	doi = {10.1038/s41588-018-0183-z},
	author = {Khera, Amit V and Chaffin, Mark and Aragam, Krishna G and Haas, Mary E and Roselli, Carolina and Choi, Seung Hoan and Natarajan, Pradeep and Lander, Eric S and Lubitz, Steven A and Ellinor, Patrick T and Kathiresan, Sekar}
}
