@article {6068,
	title = {Genome-wide study identifies two loci associated with lung function decline in mild to moderate COPD.},
	journal = {Hum Genet},
	volume = {132},
	year = {2013},
	month = {2013 Jan},
	pages = {79-90},
	abstract = {<p>Accelerated lung function decline is a key COPD phenotype; however, its genetic control remains largely unknown. We performed a genome-wide association study using the Illumina Human660W-Quad v.1_A BeadChip. Generalized estimation equations were used to assess genetic contributions to lung function decline over a 5-year period in 4,048 European American Lung Health Study participants with largely mild COPD. Genotype imputation was performed using reference HapMap II data. To validate regions meeting genome-wide significance, replication of top SNPs was attempted in independent cohorts. Three genes (TMEM26, ANK3 and FOXA1) within the regions of interest were selected for tissue expression studies using immunohistochemistry. Two intergenic SNPs (rs10761570, rs7911302) on chromosome 10 and one SNP on chromosome 14 (rs177852) met genome-wide significance after Bonferroni. Further support for the chromosome 10 region was obtained by imputation, the most significantly associated imputed SNPs (rs10761571, rs7896712) being flanked by observed markers rs10761570 and rs7911302. Results were not replicated in four general population cohorts or a smaller cohort of subjects with moderate to severe COPD; however, we show novel expression of genes near regions of significantly associated SNPS, including TMEM26 and FOXA1 in airway epithelium and lung parenchyma, and ANK3 in alveolar macrophages. Levels of expression were associated with lung function and COPD status. We identified two novel regions associated with lung function decline in mild COPD. Genes within these regions were expressed in relevant lung cells and their expression related to airflow limitation suggesting they may represent novel candidate genes for COPD susceptibility.</p>},
	keywords = {Adult, Ankyrins, Chromosomes, Human, Pair 10, Chromosomes, Human, Pair 14, Cohort Studies, Female, Genome-Wide Association Study, Hepatocyte Nuclear Factor 3-alpha, Humans, Linkage Disequilibrium, Lung, Male, Membrane Proteins, Middle Aged, Polymorphism, Single Nucleotide, Pulmonary Disease, Chronic Obstructive},
	issn = {1432-1203},
	doi = {10.1007/s00439-012-1219-6},
	author = {Hansel, Nadia N and Ruczinski, Ingo and Rafaels, Nicholas and Sin, Don D and Daley, Denise and Malinina, Alla and Huang, Lili and Sandford, Andrew and Murray, Tanda and Kim, Yoonhee and Vergara, Candelaria and Heckbert, Susan R and Psaty, Bruce M and Li, Guo and Elliott, W Mark and Aminuddin, Farzian and Dupuis, Jos{\'e}e and O{\textquoteright}Connor, George T and Doheny, Kimberly and Scott, Alan F and Boezen, H Marike and Postma, Dirkje S and Smolonska, Joanna and Zanen, Pieter and Mohamed Hoesein, Firdaus A and de Koning, Harry J and Crystal, Ronald G and Tanaka, Toshiko and Ferrucci, Luigi and Silverman, Edwin and Wan, Emily and Vestbo, Jorgen and Lomas, David A and Connett, John and Wise, Robert A and Neptune, Enid R and Mathias, Rasika A and Par{\'e}, Peter D and Beaty, Terri H and Barnes, Kathleen C}
}
@article {9412,
	title = {Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing.},
	journal = {Nat Genet},
	volume = {55},
	year = {2023},
	month = {2023 Feb},
	pages = {291-300},
	abstract = {<p>Most transcriptome-wide association studies (TWASs) so far focus on European ancestry and lack diversity. To overcome this limitation, we aggregated genome-wide association study (GWAS) summary statistics, whole-genome sequences and expression quantitative trait locus (eQTL) data from diverse ancestries. We developed a new approach, TESLA (multi-ancestry integrative study using an optimal linear combination of association statistics), to integrate an eQTL dataset with a multi-ancestry GWAS. By exploiting shared phenotypic effects between ancestries and accommodating potential effect heterogeneities, TESLA improves power over other TWAS methods. When applied to tobacco use phenotypes, TESLA identified 273 new genes, up to 55\% more compared with alternative TWAS methods. These hits and subsequent fine mapping using TESLA point to target genes with biological relevance. In silico drug-repurposing analyses highlight several drugs with known efficacy, including dextromethorphan and galantamine, and new drugs such as muscle relaxants that may be repurposed for treating nicotine addiction.</p>},
	keywords = {Biology, Drug Repositioning, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Tobacco Use, Transcriptome},
	issn = {1546-1718},
	doi = {10.1038/s41588-022-01282-x},
	author = {Chen, Fang and Wang, Xingyan and Jang, Seon-Kyeong and Quach, Bryan C and Weissenkampen, J Dylan and Khunsriraksakul, Chachrit and Yang, Lina and Sauteraud, Renan and Albert, Christine M and Allred, Nicholette D D and Arnett, Donna K and Ashley-Koch, Allison E and Barnes, Kathleen C and Barr, R Graham and Becker, Diane M and Bielak, Lawrence F and Bis, Joshua C and Blangero, John and Boorgula, Meher Preethi and Chasman, Daniel I and Chavan, Sameer and Chen, Yii-der I and Chuang, Lee-Ming and Correa, Adolfo and Curran, Joanne E and David, Sean P and Fuentes, Lisa de Las and Deka, Ranjan and Duggirala, Ravindranath and Faul, Jessica D and Garrett, Melanie E and Gharib, Sina A and Guo, Xiuqing and Hall, Michael E and Hawley, Nicola L and He, Jiang and Hobbs, Brian D and Hokanson, John E and Hsiung, Chao A and Hwang, Shih-Jen and Hyde, Thomas M and Irvin, Marguerite R and Jaffe, Andrew E and Johnson, Eric O and Kaplan, Robert and Kardia, Sharon L R and Kaufman, Joel D and Kelly, Tanika N and Kleinman, Joel E and Kooperberg, Charles and Lee, I-Te and Levy, Daniel and Lutz, Sharon M and Manichaikul, Ani W and Martin, Lisa W and Marx, Olivia and McGarvey, Stephen T and Minster, Ryan L and Moll, Matthew and Moussa, Karine A and Naseri, Take and North, Kari E and Oelsner, Elizabeth C and Peralta, Juan M and Peyser, Patricia A and Psaty, Bruce M and Rafaels, Nicholas and Raffield, Laura M and Reupena, Muagututi{\textquoteright}a Sefuiva and Rich, Stephen S and Rotter, Jerome I and Schwartz, David A and Shadyab, Aladdin H and Sheu, Wayne H-H and Sims, Mario and Smith, Jennifer A and Sun, Xiao and Taylor, Kent D and Telen, Marilyn J and Watson, Harold and Weeks, Daniel E and Weir, David R and Yanek, Lisa R and Young, Kendra A and Young, Kristin L and Zhao, Wei and Hancock, Dana B and Jiang, Bibo and Vrieze, Scott and Liu, Dajiang J}
}
