@article {7590,
	title = {Genetically Determined Plasma Lipid Levels and Risk of Diabetic Retinopathy: A Mendelian Randomization Study.},
	journal = {Diabetes},
	volume = {66},
	year = {2017},
	month = {2017 12},
	pages = {3130-3141},
	abstract = {<p>Results from observational studies examining dyslipidemia as a risk factor for diabetic retinopathy (DR) have been inconsistent. We evaluated the causal relationship between plasma lipids and DR using a Mendelian randomization approach. We pooled genome-wide association studies summary statistics from 18 studies for two DR phenotypes: any DR (N = 2,969 case and 4,096 control subjects) and severe DR (N = 1,277 case and 3,980 control subjects). Previously identified lipid-associated single nucleotide polymorphisms served as instrumental variables. Meta-analysis to combine the Mendelian randomization estimates from different cohorts was conducted. There was no statistically significant change in odds ratios of having any DR or severe DR for any of the lipid fractions in the primary analysis that used single nucleotide polymorphisms that did not have a pleiotropic effect on another lipid fraction. Similarly, there was no significant association in the Caucasian and Chinese subgroup analyses. This study did not show evidence of a causal role of the four lipid fractions on DR. However, the study had limited power to detect odds ratios less than 1.23 per SD in genetically induced increase in plasma lipid levels, thus we cannot exclude that causal relationships with more modest effect sizes exist.</p>},
	keywords = {Aged, Diabetic Retinopathy, Female, Genome-Wide Association Study, Humans, Lipids, Male, Mendelian Randomization Analysis, Middle Aged, Polymorphism, Single Nucleotide, Risk},
	issn = {1939-327X},
	doi = {10.2337/db17-0398},
	author = {Sobrin, Lucia and Chong, Yong He and Fan, Qiao and Gan, Alfred and Stanwyck, Lynn K and Kaidonis, Georgia and Craig, Jamie E and Kim, Jihye and Liao, Wen-Ling and Huang, Yu-Chuen and Lee, Wen-Jane and Hung, Yi-Jen and Guo, Xiuqing and Hai, Yang and Ipp, Eli and Pollack, Samuela and Hancock, Heather and Price, Alkes and Penman, Alan and Mitchell, Paul and Liew, Gerald and Smith, Albert V and Gudnason, Vilmundur and Tan, Gavin and Klein, Barbara E K and Kuo, Jane and Li, Xiaohui and Christiansen, Mark W and Psaty, Bruce M and Sandow, Kevin and Jensen, Richard A and Klein, Ronald and Cotch, Mary Frances and Wang, Jie Jin and Jia, Yucheng and Chen, Ching J and Chen, Yii-Der Ida and Rotter, Jerome I and Tsai, Fuu-Jen and Hanis, Craig L and Burdon, Kathryn P and Wong, Tien Yin and Cheng, Ching-Yu}
}
@article {7990,
	title = {Multiethnic Genome-Wide Association Study of Diabetic Retinopathy Using Liability Threshold Modeling of Duration of Diabetes and Glycemic Control.},
	journal = {Diabetes},
	volume = {68},
	year = {2019},
	month = {2019 Feb},
	pages = {441-456},
	abstract = {<p>To identify genetic variants associated with diabetic retinopathy (DR), we performed a large multiethnic genome-wide association study. Discovery included eight European cohorts ( = 3,246) and seven African American cohorts ( = 2,611). We meta-analyzed across cohorts using inverse-variance weighting, with and without liability threshold modeling of glycemic control and duration of diabetes. Variants with a  value <1 {\texttimes} 10 were investigated in replication cohorts that included 18,545 European, 16,453 Asian, and 2,710 Hispanic subjects. After correction for multiple testing, the C allele of rs142293996 in an intron of nuclear VCP-like () was associated with DR in European discovery cohorts ( = 2.1 {\texttimes} 10), but did not reach genome-wide significance after meta-analysis with replication cohorts. We applied the Disease Association Protein-Protein Link Evaluator (DAPPLE) to our discovery results to test for evidence of risk being spread across underlying molecular pathways. One protein-protein interaction network built from genes in regions associated with proliferative DR was found to have significant connectivity ( = 0.0009) and corroborated with gene set enrichment analyses. These findings suggest that genetic variation in  as well as variation within a protein-protein interaction network that includes genes implicated in inflammation, may influence risk for DR.</p>},
	issn = {1939-327X},
	doi = {10.2337/db18-0567},
	author = {Pollack, Samuela and Igo, Robert P and Jensen, Richard A and Christiansen, Mark and Li, Xiaohui and Cheng, Ching-Yu and Ng, Maggie C Y and Smith, Albert V and Rossin, Elizabeth J and Segr{\`e}, Ayellet V and Davoudi, Samaneh and Tan, Gavin S and Chen, Yii-Der Ida and Kuo, Jane Z and Dimitrov, Latchezar M and Stanwyck, Lynn K and Meng, Weihua and Hosseini, S Mohsen and Imamura, Minako and Nousome, Darryl and Kim, Jihye and Hai, Yang and Jia, Yucheng and Ahn, Jeeyun and Leong, Aaron and Shah, Kaanan and Park, Kyu Hyung and Guo, Xiuqing and Ipp, Eli and Taylor, Kent D and Adler, Sharon G and Sedor, John R and Freedman, Barry I and Lee, I-Te and Sheu, Wayne H-H and Kubo, Michiaki and Takahashi, Atsushi and Hadjadj, Samy and Marre, Michel and Tr{\'e}gou{\"e}t, David-Alexandre and McKean-Cowdin, Roberta and Varma, Rohit and McCarthy, Mark I and Groop, Leif and Ahlqvist, Emma and Lyssenko, Valeriya and Agardh, Elisabet and Morris, Andrew and Doney, Alex S F and Colhoun, Helen M and Toppila, Iiro and Sandholm, Niina and Groop, Per-Henrik and Maeda, Shiro and Hanis, Craig L and Penman, Alan and Chen, Ching J and Hancock, Heather and Mitchell, Paul and Craig, Jamie E and Chew, Emily Y and Paterson, Andrew D and Grassi, Michael A and Palmer, Colin and Bowden, Donald W and Yaspan, Brian L and Siscovick, David and Cotch, Mary Frances and Wang, Jie Jin and Burdon, Kathryn P and Wong, Tien Y and Klein, Barbara E K and Klein, Ronald and Rotter, Jerome I and Iyengar, Sudha K and Price, Alkes L and Sobrin, Lucia}
}
