@article {1288,
	title = {Enhanced statistical tests for GWAS in admixed populations: assessment using African Americans from CARe and a Breast Cancer Consortium.},
	journal = {PLoS Genet},
	volume = {7},
	year = {2011},
	month = {2011 Apr},
	pages = {e1001371},
	abstract = {<p>While genome-wide association studies (GWAS) have primarily examined populations of European ancestry, more recent studies often involve additional populations, including admixed populations such as African Americans and Latinos. In admixed populations, linkage disequilibrium (LD) exists both at a fine scale in ancestral populations and at a coarse scale (admixture-LD) due to chromosomal segments of distinct ancestry. Disease association statistics in admixed populations have previously considered SNP association (LD mapping) or admixture association (mapping by admixture-LD), but not both. Here, we introduce a new statistical framework for combining SNP and admixture association in case-control studies, as well as methods for local ancestry-aware imputation. We illustrate the gain in statistical power achieved by these methods by analyzing data of 6,209 unrelated African Americans from the CARe project genotyped on the Affymetrix 6.0 chip, in conjunction with both simulated and real phenotypes, as well as by analyzing the FGFR2 locus using breast cancer GWAS data from 5,761 African-American women. We show that, at typed SNPs, our method yields an 8\% increase in statistical power for finding disease risk loci compared to the power achieved by standard methods in case-control studies. At imputed SNPs, we observe an 11\% increase in statistical power for mapping disease loci when our local ancestry-aware imputation framework and the new scoring statistic are jointly employed. Finally, we show that our method increases statistical power in regions harboring the causal SNP in the case when the causal SNP is untyped and cannot be imputed. Our methods and our publicly available software are broadly applicable to GWAS in admixed populations.</p>},
	keywords = {African Americans, Algorithms, Breast Neoplasms, Chromosome Mapping, Coronary Disease, Diabetes Mellitus, Type 2, Female, Gene Frequency, Genetic Variation, Genetics, Population, Genome, Human, Genome-Wide Association Study, Genotype, Humans, Linkage Disequilibrium, Male, Odds Ratio, Phenotype, Polymorphism, Single Nucleotide, Principal Component Analysis, Receptor, Fibroblast Growth Factor, Type 2, Software},
	issn = {1553-7404},
	doi = {10.1371/journal.pgen.1001371},
	author = {Pasaniuc, Bogdan and Zaitlen, Noah and Lettre, Guillaume and Chen, Gary K and Tandon, Arti and Kao, W H Linda and Ruczinski, Ingo and Fornage, Myriam and Siscovick, David S and Zhu, Xiaofeng and Larkin, Emma and Lange, Leslie A and Cupples, L Adrienne and Yang, Qiong and Akylbekova, Ermeg L and Musani, Solomon K and Divers, Jasmin and Mychaleckyj, Joe and Li, Mingyao and Papanicolaou, George J and Millikan, Robert C and Ambrosone, Christine B and John, Esther M and Bernstein, Leslie and Zheng, Wei and Hu, Jennifer J and Ziegler, Regina G and Nyante, Sarah J and Bandera, Elisa V and Ingles, Sue A and Press, Michael F and Chanock, Stephen J and Deming, Sandra L and Rodriguez-Gil, Jorge L and Palmer, Cameron D and Buxbaum, Sarah and Ekunwe, Lynette and Hirschhorn, Joel N and Henderson, Brian E and Myers, Simon and Haiman, Christopher A and Reich, David and Patterson, Nick and Wilson, James G and Price, Alkes L}
}
@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}
}
