@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 {8774,
	title = {Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes.},
	journal = {Nat Commun},
	volume = {12},
	year = {2021},
	month = {2021 06 09},
	pages = {3505},
	abstract = {<p>Hundreds of thousands of genetic variants have been reported to cause severe monogenic diseases, but the probability that a variant carrier develops the disease (termed penetrance) is unknown for virtually all of them. Additionally, the clinical utility of common polygenetic variation remains uncertain. Using exome sequencing from 77,184 adult individuals (38,618 multi-ancestral individuals from a type 2 diabetes case-control study and 38,566 participants from the UK Biobank, for whom genotype array data were also available), we apply clinical standard-of-care gene variant curation for eight monogenic metabolic conditions. Rare variants causing monogenic diabetes and dyslipidemias display effect sizes significantly larger than the top 1\% of the corresponding polygenic scores. Nevertheless, penetrance estimates for monogenic variant carriers average 60\% or lower for most conditions. We assess epidemiologic and genetic factors contributing to risk prediction in monogenic variant carriers, demonstrating that inclusion of polygenic variation significantly improves biomarker estimation for two monogenic dyslipidemias.</p>},
	keywords = {Adult, Biological Variation, Population, Biomarkers, Diabetes Mellitus, Type 2, Dyslipidemias, Exome, Genetic Predisposition to Disease, Genotype, Humans, Multifactorial Inheritance, Penetrance, Risk Assessment},
	issn = {2041-1723},
	doi = {10.1038/s41467-021-23556-4},
	author = {Goodrich, Julia K and Singer-Berk, Moriel and Son, Rachel and Sveden, Abigail and Wood, Jordan and England, Eleina and Cole, Joanne B and Weisburd, Ben and Watts, Nick and Caulkins, Lizz and Dornbos, Peter and Koesterer, Ryan and Zappala, Zachary and Zhang, Haichen and Maloney, Kristin A and Dahl, Andy and Aguilar-Salinas, Carlos A and Atzmon, Gil and Barajas-Olmos, Francisco and Barzilai, Nir and Blangero, John and Boerwinkle, Eric and Bonnycastle, Lori L and Bottinger, Erwin and Bowden, Donald W and Centeno-Cruz, Federico and Chambers, John C and Chami, Nathalie and Chan, Edmund and Chan, Juliana and Cheng, Ching-Yu and Cho, Yoon Shin and Contreras-Cubas, Cecilia and C{\'o}rdova, Emilio and Correa, Adolfo and DeFronzo, Ralph A and Duggirala, Ravindranath and Dupuis, Jos{\'e}e and Garay-Sevilla, Ma Eugenia and Garc{\'\i}a-Ortiz, Humberto and Gieger, Christian and Glaser, Benjamin and Gonz{\'a}lez-Villalpando, Clicerio and Gonzalez, Ma Elena and Grarup, Niels and Groop, Leif and Gross, Myron and Haiman, Christopher and Han, Sohee and Hanis, Craig L and Hansen, Torben and Heard-Costa, Nancy L and Henderson, Brian E and Hernandez, Juan Manuel Malacara and Hwang, Mi Yeong and Islas-Andrade, Sergio and J{\o}rgensen, Marit E and Kang, Hyun Min and Kim, Bong-Jo and Kim, Young Jin and Koistinen, Heikki A and Kooner, Jaspal Singh and Kuusisto, Johanna and Kwak, Soo-Heon and Laakso, Markku and Lange, Leslie and Lee, Jong-Young and Lee, Juyoung and Lehman, Donna M and Linneberg, Allan and Liu, Jianjun and Loos, Ruth J F and Lyssenko, Valeriya and Ma, Ronald C W and Mart{\'\i}nez-Hern{\'a}ndez, Ang{\'e}lica and Meigs, James B and Meitinger, Thomas and Mendoza-Caamal, Elvia and Mohlke, Karen L and Morris, Andrew D and Morrison, Alanna C and Ng, Maggie C Y and Nilsson, Peter M and O{\textquoteright}Donnell, Christopher J and Orozco, Lorena and Palmer, Colin N A and Park, Kyong Soo and Post, Wendy S and Pedersen, Oluf and Preuss, Michael and Psaty, Bruce M and Reiner, Alexander P and Revilla-Monsalve, Cristina and Rich, Stephen S and Rotter, Jerome I and Saleheen, Danish and Schurmann, Claudia and Sim, Xueling and Sladek, Rob and Small, Kerrin S and So, Wing Yee and Spector, Timothy D and Strauch, Konstantin and Strom, Tim M and Tai, E Shyong and Tam, Claudia H T and Teo, Yik Ying and Thameem, Farook and Tomlinson, Brian and Tracy, Russell P and Tuomi, Tiinamaija and Tuomilehto, Jaakko and Tusi{\'e}-Luna, Teresa and van Dam, Rob M and Vasan, Ramachandran S and Wilson, James G and Witte, Daniel R and Wong, Tien-Yin and Burtt, Noel P and Zaitlen, Noah and McCarthy, Mark I and Boehnke, Michael and Pollin, Toni I and Flannick, Jason and Mercader, Josep M and O{\textquoteright}Donnell-Luria, Anne and Baxter, Samantha and Florez, Jose C and MacArthur, Daniel G and Udler, Miriam S}
}
