@article {6634, title = {Evaluation of the metabochip genotyping array in African Americans and implications for fine mapping of GWAS-identified loci: the PAGE study.}, journal = {PLoS One}, volume = {7}, year = {2012}, month = {2012}, pages = {e35651}, abstract = {

The Metabochip is a custom genotyping array designed for replication and fine mapping of metabolic, cardiovascular, and anthropometric trait loci and includes low frequency variation content identified from the 1000 Genomes Project. It has 196,725 SNPs concentrated in 257 genomic regions. We evaluated the Metabochip in 5,863 African Americans; 89\% of all SNPs passed rigorous quality control with a call rate of 99.9\%. Two examples illustrate the value of fine mapping with the Metabochip in African-ancestry populations. At CELSR2/PSRC1/SORT1, we found the strongest associated SNP for LDL-C to be rs12740374 (p = 3.5 {\texttimes} 10(-11)), a SNP indistinguishable from multiple SNPs in European ancestry samples due to high correlation. Its distinct signal supports functional studies elsewhere suggesting a causal role in LDL-C. At CETP we found rs17231520, with risk allele frequency 0.07 in African Americans, to be associated with HDL-C (p = 7.2 {\texttimes} 10(-36)). This variant is very rare in Europeans and not tagged in common GWAS arrays, but was identified as associated with HDL-C in African Americans in a single-gene study. Our results, one narrowing the risk interval and the other revealing an associated variant not found in Europeans, demonstrate the advantages of high-density genotyping of common and rare variation for fine mapping of trait loci in African American samples.

}, keywords = {African Americans, Cardiovascular Diseases, Cholesterol Ester Transfer Proteins, Cholesterol, HDL, Cholesterol, LDL, Chromosomes, Human, Cohort Studies, Gene Frequency, Genome-Wide Association Study, Genotype, Humans, Metabolic Diseases, Polymorphism, Single Nucleotide, Quantitative Trait Loci}, issn = {1932-6203}, doi = {10.1371/journal.pone.0035651}, author = {Buyske, Steven and Wu, Ying and Carty, Cara L and Cheng, Iona and Assimes, Themistocles L and Dumitrescu, Logan and Hindorff, Lucia A and Mitchell, Sabrina and Ambite, Jose Luis and Boerwinkle, Eric and B{\r u}zkov{\'a}, Petra and Carlson, Chris S and Cochran, Barbara and Duggan, David and Eaton, Charles B and Fesinmeyer, Megan D and Franceschini, Nora and Haessler, Jeffrey and Jenny, Nancy and Kang, Hyun Min and Kooperberg, Charles and Lin, Yi and Le Marchand, Lo{\"\i}c and Matise, Tara C and Robinson, Jennifer G and Rodriguez, Carlos and Schumacher, Fredrick R and Voight, Benjamin F and Young, Alicia and Manolio, Teri A and Mohlke, Karen L and Haiman, Christopher A and Peters, Ulrike and Crawford, Dana C and North, Kari E} } @article {6065, title = {Effects of smoking on the genetic risk of obesity: the population architecture using genomics and epidemiology study.}, journal = {BMC Med Genet}, volume = {14}, year = {2013}, month = {2013 Jan 11}, pages = {6}, abstract = {

BACKGROUND: Although smoking behavior is known to affect body mass index (BMI), the potential for smoking to influence genetic associations with BMI is largely unexplored.

METHODS: As part of the {\textquoteright}Population Architecture using Genomics and Epidemiology (PAGE){\textquoteright} Consortium, we investigated interaction between genetic risk factors associated with BMI and smoking for 10 single nucleotide polymorphisms (SNPs) previously identified in genome-wide association studies. We included 6 studies with a total of 56,466 subjects (16,750 African Americans (AA) and 39,716 European Americans (EA)). We assessed effect modification by testing an interaction term for each SNP and smoking (current vs. former/never) in the linear regression and by stratified analyses.

RESULTS: We did not observe strong evidence for interactions and only observed two interactions with p-values <0.1: for rs6548238/TMEM18, the risk allele (C) was associated with BMI only among AA females who were former/never smokers (β = 0.018, p = 0.002), vs. current smokers (β = 0.001, p = 0.95, p(interaction) = 0.10). For rs9939609/FTO, the A allele was more strongly associated with BMI among current smoker EA females (β = 0.017, p = 3.5 x 10(-5)), vs. former/never smokers (β = 0.006, p = 0.05, p(interaction) = 0.08).

CONCLUSIONS: These analyses provide limited evidence that smoking status may modify genetic effects of previously identified genetic risk factors for BMI. Larger studies are needed to follow up our results.

CLINICAL TRIAL REGISTRATION: NCT00000611.

}, keywords = {Adolescent, Adult, African Americans, Aged, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Body Mass Index, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Humans, Male, Membrane Proteins, Middle Aged, Obesity, Polymorphism, Single Nucleotide, Proteins, Risk Factors, Smoking, Young Adult}, issn = {1471-2350}, doi = {10.1186/1471-2350-14-6}, author = {Fesinmeyer, Megan D and North, Kari E and Lim, Unhee and B{\r u}zkov{\'a}, Petra and Crawford, Dana C and Haessler, Jeffrey and Gross, Myron D and Fowke, Jay H and Goodloe, Robert and Love, Shelley-Ann and Graff, Misa and Carlson, Christopher S and Kuller, Lewis H and Matise, Tara C and Hong, Ching-Ping and Henderson, Brian E and Allen, Melissa and Rohde, Rebecca R and Mayo, Ping and Schnetz-Boutaud, Nathalie and Monroe, Kristine R and Ritchie, Marylyn D and Prentice, Ross L and Kolonel, Lawrence N and Manson, JoAnn E and Pankow, James and Hindorff, Lucia A and Franceschini, Nora and Wilkens, Lynne R and Haiman, Christopher A and Le Marchand, Lo{\"\i}c and Peters, Ulrike} } @article {6290, title = {Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study.}, journal = {BMC Med Genet}, volume = {14}, year = {2013}, month = {2013 Sep 25}, pages = {98}, abstract = {

BACKGROUND: Multiple genome-wide association studies (GWAS) within European populations have implicated common genetic variants associated with insulin and glucose concentrations. In contrast, few studies have been conducted within minority groups, which carry the highest burden of impaired glucose homeostasis and type 2 diabetes in the U.S.

METHODS: As part of the {\textquoteright}Population Architecture using Genomics and Epidemiology (PAGE) Consortium, we investigated the association of up to 10 GWAS-identified single nucleotide polymorphisms (SNPs) in 8 genetic regions with glucose or insulin concentrations in up to 36,579 non-diabetic subjects including 23,323 European Americans (EA) and 7,526 African Americans (AA), 3,140 Hispanics, 1,779 American Indians (AI), and 811 Asians. We estimated the association between each SNP and fasting glucose or log-transformed fasting insulin, followed by meta-analysis to combine results across PAGE sites.

RESULTS: Overall, our results show that 9/9 GWAS SNPs are associated with glucose in EA (p = 0.04 to 9 {\texttimes} 10-15), versus 3/9 in AA (p= 0.03 to 6 {\texttimes} 10-5), 3/4 SNPs in Hispanics, 2/4 SNPs in AI, and 1/2 SNPs in Asians. For insulin we observed a significant association with rs780094/GCKR in EA, Hispanics and AI only.

CONCLUSIONS: Generalization of results across multiple racial/ethnic groups helps confirm the relevance of some of these loci for glucose and insulin metabolism. Lack of association in non-EA groups may be due to insufficient power, or to unique patterns of linkage disequilibrium.

}, keywords = {Adaptor Proteins, Signal Transducing, Adult, African Americans, Aged, Alleles, Asian Continental Ancestry Group, Blood Glucose, Diabetes Mellitus, Type 2, European Continental Ancestry Group, Female, Gene Frequency, Genetic Loci, Genome-Wide Association Study, Genomics, Hispanic Americans, Humans, Indians, North American, Insulin, Male, Middle Aged, Polymorphism, Single Nucleotide, Transcription Factor 7-Like 2 Protein}, issn = {1471-2350}, doi = {10.1186/1471-2350-14-98}, author = {Fesinmeyer, Megan D and Meigs, James B and North, Kari E and Schumacher, Fredrick R and B{\r u}zkov{\'a}, Petra and Franceschini, Nora and Haessler, Jeffrey and Goodloe, Robert and Spencer, Kylee L and Voruganti, Venkata Saroja and Howard, Barbara V and Jackson, Rebecca and Kolonel, Laurence N and Liu, Simin and Manson, JoAnn E and Monroe, Kristine R and Mukamal, Kenneth and Dilks, Holli H and Pendergrass, Sarah A and Nato, Andrew and Wan, Peggy and Wilkens, Lynne R and Le Marchand, Lo{\"\i}c and Ambite, Jose Luis and Buyske, Steven and Florez, Jose C and Crawford, Dana C and Hindorff, Lucia A and Haiman, Christopher A and Peters, Ulrike and Pankow, James S} } @article {7363, title = {Discovery of novel heart rate-associated loci using the Exome Chip.}, journal = {Hum Mol Genet}, year = {2017}, month = {2017 Apr 03}, abstract = {

Background Resting heart rate is a heritable trait, and an increase in heart rate is associated with increased mortality risk. GWAS analyses have found loci associated with resting heart rate, at the time of our study these loci explained 0.9\% of the variation.Aim To discover new genetic loci associated with heart rate from Exome Chip meta-analyses.Methods Heart rate was measured from either elecrtrocardiograms or pulse recordings. We meta-analysed heart rate association results from 104,452 European-ancestry individuals from 30 cohorts, genotyped using the Exome Chip. Twenty-four variants were selected for follow-up in an independent dataset (UK Biobank, N = 134,251). Conditional and gene-based testing was undertaken, and variants were investigated with bioinformatics methods.Results We discovered five novel heart rate loci, and one new independent low-frequency non-synonymous variant in an established heart rate locus (KIAA1755). Lead variants in four of the novel loci are non-synonymous variants in the genes C10orf71, DALDR3, TESK2, SEC31B. The variant at SEC31B is significantly associated with SEC31B expression in heart and tibial nerve tissue. Further candidate genes were detected from long range regulatory chromatin interactions in heart tissue (SCD, SLF2, MAPK8). We observed significant enrichment in DNase I hypersensitive sites in fetal heart and lung. Moreover, enrichment was seen for the first time in human neuronal progenitor cells (derived from embryonic stem cells) and fetal muscle samples by including our novel variants.Conclusion Our findings advance the knowledge of the genetic architecture of heart rate, and indicate new candidate genes for follow-up functional studies.

}, issn = {1460-2083}, doi = {10.1093/hmg/ddx113}, author = {van den Berg, Marten E and Warren, Helen R and Cabrera, Claudia P and Verweij, Niek and Mifsud, Borbala and Haessler, Jeffrey and Bihlmeyer, Nathan A and Fu, Yi-Ping and Weiss, Stefan and Lin, Henry J and Grarup, Niels and Li-Gao, Ruifang and Pistis, Giorgio and Shah, Nabi and Brody, Jennifer A and M{\"u}ller-Nurasyid, Martina and Lin, Honghuang and Mei, Hao and Smith, Albert V and Lyytik{\"a}inen, Leo-Pekka and Hall, Leanne M and van Setten, Jessica and Trompet, Stella and Prins, Bram P and Isaacs, Aaron and Radmanesh, Farid and Marten, Jonathan and Entwistle, Aiman and Kors, Jan A and Silva, Claudia T and Alonso, Alvaro and Bis, Joshua C and de Boer, Rudolf and de Haan, Hugoline G and de Mutsert, Ren{\'e}e and Dedoussis, George and Dominiczak, Anna F and Doney, Alex S F and Ellinor, Patrick T and Eppinga, Ruben N and Felix, Stephan B and Guo, Xiuqing and Hagemeijer, Yanick and Hansen, Torben and Harris, Tamara B and Heckbert, Susan R and Huang, Paul L and Hwang, Shih-Jen and K{\"a}h{\"o}nen, Mika and Kanters, J{\o}rgen K and Kolcic, Ivana and Launer, Lenore J and Li, Man and Yao, Jie and Linneberg, Allan and Liu, Simin and Macfarlane, Peter W and Mangino, Massimo and Morris, Andrew D and Mulas, Antonella and Murray, Alison D and Nelson, Christopher P and Orr{\`u}, Marco and Padmanabhan, Sandosh and Peters, Annette and Porteous, David J and Poulter, Neil and Psaty, Bruce M and Qi, Lihong and Raitakari, Olli T and Rivadeneira, Fernando and Roselli, Carolina and Rudan, Igor and Sattar, Naveed and Sever, Peter and Sinner, Moritz F and Soliman, Elsayed Z and Spector, Timothy D and Stanton, Alice V and Stirrups, Kathleen E and Taylor, Kent D and Tobin, Martin D and Uitterlinden, Andre and Vaartjes, Ilonca and Hoes, Arno W and van der Meer, Peter and V{\"o}lker, Uwe and Waldenberger, Melanie and Xie, Zhijun and Zoledziewska, Magdalena and Tinker, Andrew and Polasek, Ozren and Rosand, Jonathan and Jamshidi, Yalda and van Duijn, Cornelia M and Zeggini, Eleftheria and Wouter Jukema, J and Asselbergs, Folkert W and Samani, Nilesh J and Lehtim{\"a}ki, Terho and Gudnason, Vilmundur and Wilson, James and Lubitz, Steven A and K{\"a}{\"a}b, Stefan and Sotoodehnia, Nona and Caulfield, Mark J and Palmer, Colin N A and Sanna, Serena and Mook-Kanamori, Dennis O and Deloukas, Panos and Pedersen, Oluf and Rotter, Jerome I and D{\"o}rr, Marcus and O{\textquoteright}Donnell, Chris J and Hayward, Caroline and Arking, Dan E and Kooperberg, Charles and van der Harst, Pim and Eijgelsheim, Mark and Stricker, Bruno H and Munroe, Patricia B} } @article {7396, title = {Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation.}, journal = {Nat Genet}, volume = {49}, year = {2017}, month = {2017 Jun}, pages = {946-952}, abstract = {

Atrial fibrillation affects more than 33 million people worldwide and increases the risk of stroke, heart failure, and death. Fourteen genetic loci have been associated with atrial fibrillation in European and Asian ancestry groups. To further define the genetic basis of atrial fibrillation, we performed large-scale, trans-ancestry meta-analyses of common and rare variant association studies. The genome-wide association studies (GWAS) included 17,931 individuals with atrial fibrillation and 115,142 referents; the exome-wide association studies (ExWAS) and rare variant association studies (RVAS) involved 22,346 cases and 132,086 referents. We identified 12 new genetic loci that exceeded genome-wide significance, implicating genes involved in cardiac electrical and structural remodeling. Our results nearly double the number of known genetic loci for atrial fibrillation, provide insights into the molecular basis of atrial fibrillation, and may facilitate the identification of new potential targets for drug discovery.

}, issn = {1546-1718}, doi = {10.1038/ng.3843}, author = {Christophersen, Ingrid E and Rienstra, Michiel and Roselli, Carolina and Yin, Xiaoyan and Geelhoed, Bastiaan and Barnard, John and Lin, Honghuang and Arking, Dan E and Smith, Albert V and Albert, Christine M and Chaffin, Mark and Tucker, Nathan R and Li, Molong and Klarin, Derek and Bihlmeyer, Nathan A and Low, Siew-Kee and Weeke, Peter E and M{\"u}ller-Nurasyid, Martina and Smith, J Gustav and Brody, Jennifer A and Niemeijer, Maartje N and D{\"o}rr, Marcus and Trompet, Stella and Huffman, Jennifer and Gustafsson, Stefan and Schurmann, Claudia and Kleber, Marcus E and Lyytik{\"a}inen, Leo-Pekka and Sepp{\"a}l{\"a}, Ilkka and Malik, Rainer and Horimoto, Andrea R V R and Perez, Marco and Sinisalo, Juha and Aeschbacher, Stefanie and Th{\'e}riault, S{\'e}bastien and Yao, Jie and Radmanesh, Farid and Weiss, Stefan and Teumer, Alexander and Choi, Seung Hoan and Weng, Lu-Chen and Clauss, Sebastian and Deo, Rajat and Rader, Daniel J and Shah, Svati H and Sun, Albert and Hopewell, Jemma C and Debette, Stephanie and Chauhan, Ganesh and Yang, Qiong and Worrall, Bradford B and Par{\'e}, Guillaume and Kamatani, Yoichiro and Hagemeijer, Yanick P and Verweij, Niek and Siland, Joylene E and Kubo, Michiaki and Smith, Jonathan D and Van Wagoner, David R and Bis, Joshua C and Perz, Siegfried and Psaty, Bruce M and Ridker, Paul M and Magnani, Jared W and Harris, Tamara B and Launer, Lenore J and Shoemaker, M Benjamin and Padmanabhan, Sandosh and Haessler, Jeffrey and Bartz, Traci M and Waldenberger, Melanie and Lichtner, Peter and Arendt, Marina and Krieger, Jose E and K{\"a}h{\"o}nen, Mika and Risch, Lorenz and Mansur, Alfredo J and Peters, Annette and Smith, Blair H and Lind, Lars and Scott, Stuart A and Lu, Yingchang and Bottinger, Erwin B and Hernesniemi, Jussi and Lindgren, Cecilia M and Wong, Jorge A and Huang, Jie and Eskola, Markku and Morris, Andrew P and Ford, Ian and Reiner, Alex P and Delgado, Graciela and Chen, Lin Y and Chen, Yii-Der Ida and Sandhu, Roopinder K and Li, Man and Boerwinkle, Eric and Eisele, Lewin and Lannfelt, Lars and Rost, Natalia and Anderson, Christopher D and Taylor, Kent D and Campbell, Archie and Magnusson, Patrik K and Porteous, David and Hocking, Lynne J and Vlachopoulou, Efthymia and Pedersen, Nancy L and Nikus, Kjell and Orho-Melander, Marju and Hamsten, Anders and Heeringa, Jan and Denny, Joshua C and Kriebel, Jennifer and Darbar, Dawood and Newton-Cheh, Christopher and Shaffer, Christian and Macfarlane, Peter W and Heilmann-Heimbach, Stefanie and Almgren, Peter and Huang, Paul L and Sotoodehnia, Nona and Soliman, Elsayed Z and Uitterlinden, Andr{\'e} G and Hofman, Albert and Franco, Oscar H and V{\"o}lker, Uwe and J{\"o}ckel, Karl-Heinz and Sinner, Moritz F and Lin, Henry J and Guo, Xiuqing and Dichgans, Martin and Ingelsson, Erik and Kooperberg, Charles and Melander, Olle and Loos, Ruth J F and Laurikka, Jari and Conen, David and Rosand, Jonathan and van der Harst, Pim and Lokki, Marja-Liisa and Kathiresan, Sekar and Pereira, Alexandre and Jukema, J Wouter and Hayward, Caroline and Rotter, Jerome I and M{\"a}rz, Winfried and Lehtim{\"a}ki, Terho and Stricker, Bruno H and Chung, Mina K and Felix, Stephan B and Gudnason, Vilmundur and Alonso, Alvaro and Roden, Dan M and K{\"a}{\"a}b, Stefan and Chasman, Daniel I and Heckbert, Susan R and Benjamin, Emelia J and Tanaka, Toshihiro and Lunetta, Kathryn L and Lubitz, Steven A and Ellinor, Patrick T} } @article {7465, title = {Trans-ethnic fine-mapping of genetic loci for body mass index in the diverse ancestral populations of the Population Architecture using Genomics and Epidemiology (PAGE) Study reveals evidence for multiple signals at established loci.}, journal = {Hum Genet}, volume = {136}, year = {2017}, month = {2017 Jun}, pages = {771-800}, abstract = {

Most body mass index (BMI) genetic loci have been identified in studies of primarily European ancestries. The effect of these loci in other racial/ethnic groups is less clear. Thus, we aimed to characterize the generalizability of 170 established BMI variants, or their proxies, to diverse US populations and trans-ethnically fine-map 36 BMI loci using a sample of >102,000 adults of African, Hispanic/Latino, Asian, European and American Indian/Alaskan Native descent from the Population Architecture using Genomics and Epidemiology Study. We performed linear regression of the natural log of BMI (18.5-70~kg/m(2)) on the additive single nucleotide polymorphisms (SNPs) at BMI loci on the MetaboChip (Illumina, Inc.), adjusting for age, sex, population stratification, study site, or relatedness. We then performed fixed-effect meta-analyses and a Bayesian trans-ethnic meta-analysis to empirically cluster by allele frequency differences. Finally, we approximated conditional and joint associations to test for the presence of secondary signals. We noted directional consistency with the previously reported risk alleles beyond what would have been expected by chance (binomial p~<~0.05). Nearly, a quarter of the previously described BMI index SNPs and 29 of 36 densely-genotyped BMI loci on the MetaboChip replicated/generalized in trans-ethnic analyses. We observed multiple signals at nine loci, including the description of seven loci with novel multiple signals. This study supports the generalization of most common genetic loci to diverse ancestral populations and emphasizes the importance of dense multiethnic genomic data in refining the functional variation at genetic loci of interest and describing several loci with multiple underlying genetic variants.

}, keywords = {Body Mass Index, Ethnic Groups, Genetics, Population, Humans, Obesity}, issn = {1432-1203}, doi = {10.1007/s00439-017-1787-6}, author = {Fernandez-Rhodes, Lindsay and Gong, Jian and Haessler, Jeffrey and Franceschini, Nora and Graff, Mariaelisa and Nishimura, Katherine K and Wang, Yujie and Highland, Heather M and Yoneyama, Sachiko and Bush, William S and Goodloe, Robert and Ritchie, Marylyn D and Crawford, Dana and Gross, Myron and Fornage, Myriam and B{\r u}zkov{\'a}, Petra and Tao, Ran and Isasi, Carmen and Avil{\'e}s-Santa, Larissa and Daviglus, Martha and Mackey, Rachel H and Houston, Denise and Gu, C Charles and Ehret, Georg and Nguyen, Khanh-Dung H and Lewis, Cora E and Leppert, Mark and Irvin, Marguerite R and Lim, Unhee and Haiman, Christopher A and Le Marchand, Lo{\"\i}c and Schumacher, Fredrick and Wilkens, Lynne and Lu, Yingchang and Bottinger, Erwin P and Loos, Ruth J L and Sheu, Wayne H-H and Guo, Xiuqing and Lee, Wen-Jane and Hai, Yang and Hung, Yi-Jen and Absher, Devin and Wu, I-Chien and Taylor, Kent D and Lee, I-Te and Liu, Yeheng and Wang, Tzung-Dau and Quertermous, Thomas and Juang, Jyh-Ming J and Rotter, Jerome I and Assimes, Themistocles and Hsiung, Chao A and Chen, Yii-Der Ida and Prentice, Ross and Kuller, Lewis H and Manson, JoAnn E and Kooperberg, Charles and Smokowski, Paul and Robinson, Whitney R and Gordon-Larsen, Penny and Li, Rongling and Hindorff, Lucia and Buyske, Steven and Matise, Tara C and Peters, Ulrike and North, Kari E} } @article {7801, title = {Common and Rare Coding Genetic Variation Underlying the Electrocardiographic PR Interval.}, journal = {Circ Genom Precis Med}, volume = {11}, year = {2018}, month = {2018 May}, pages = {e002037}, abstract = {

BACKGROUND: Electrical conduction from the cardiac sinoatrial node to the ventricles is critical for normal heart function. Genome-wide association studies have identified more than a dozen common genetic loci that are associated with PR interval. However, it is unclear whether rare and low-frequency variants also contribute to PR interval heritability.

METHODS: We performed large-scale meta-analyses of the PR interval that included 83 367 participants of European ancestry and 9436 of African ancestry. We examined both common and rare variants associated with the PR interval.

RESULTS: We identified 31 genetic loci that were significantly associated with PR interval after Bonferroni correction (<1.2{\texttimes}10), including 11 novel loci that have not been reported previously. Many of these loci are involved in heart morphogenesis. In gene-based analysis, we found that multiple rare variants at (=5.9{\texttimes}10) and (=1.1{\texttimes}10) were associated with PR interval. locus also was implicated in the common variant analysis, whereas was a novel locus.

CONCLUSIONS: We identified common variants at 11 novel loci and rare variants within 2 gene regions that were significantly associated with PR interval. Our findings provide novel insights to the current understanding of atrioventricular conduction, which is critical for cardiac activity and an important determinant of health.

}, issn = {2574-8300}, doi = {10.1161/CIRCGEN.117.002037}, author = {Lin, Honghuang and van Setten, Jessica and Smith, Albert V and Bihlmeyer, Nathan A and Warren, Helen R and Brody, Jennifer A and Radmanesh, Farid and Hall, Leanne and Grarup, Niels and M{\"u}ller-Nurasyid, Martina and Boutin, Thibaud and Verweij, Niek and Lin, Henry J and Li-Gao, Ruifang and van den Berg, Marten E and Marten, Jonathan and Weiss, Stefan and Prins, Bram P and Haessler, Jeffrey and Lyytik{\"a}inen, Leo-Pekka and Mei, Hao and Harris, Tamara B and Launer, Lenore J and Li, Man and Alonso, Alvaro and Soliman, Elsayed Z and Connell, John M and Huang, Paul L and Weng, Lu-Chen and Jameson, Heather S and Hucker, William and Hanley, Alan and Tucker, Nathan R and Chen, Yii-Der Ida and Bis, Joshua C and Rice, Kenneth M and Sitlani, Colleen M and Kors, Jan A and Xie, Zhijun and Wen, Chengping and Magnani, Jared W and Nelson, Christopher P and Kanters, J{\o}rgen K and Sinner, Moritz F and Strauch, Konstantin and Peters, Annette and Waldenberger, Melanie and Meitinger, Thomas and Bork-Jensen, Jette and Pedersen, Oluf and Linneberg, Allan and Rudan, Igor and de Boer, Rudolf A and van der Meer, Peter and Yao, Jie and Guo, Xiuqing and Taylor, Kent D and Sotoodehnia, Nona and Rotter, Jerome I and Mook-Kanamori, Dennis O and Trompet, Stella and Rivadeneira, Fernando and Uitterlinden, Andre and Eijgelsheim, Mark and Padmanabhan, Sandosh and Smith, Blair H and V{\"o}lzke, Henry and Felix, Stephan B and Homuth, Georg and V{\"o}lker, Uwe and Mangino, Massimo and Spector, Timothy D and Bots, Michiel L and Perez, Marco and K{\"a}h{\"o}nen, Mika and Raitakari, Olli T and Gudnason, Vilmundur and Arking, Dan E and Munroe, Patricia B and Psaty, Bruce M and van Duijn, Cornelia M and Benjamin, Emelia J and Rosand, Jonathan and Samani, Nilesh J and Hansen, Torben and K{\"a}{\"a}b, Stefan and Polasek, Ozren and van der Harst, Pim and Heckbert, Susan R and Jukema, J Wouter and Stricker, Bruno H and Hayward, Caroline and D{\"o}rr, Marcus and Jamshidi, Yalda and Asselbergs, Folkert W and Kooperberg, Charles and Lehtim{\"a}ki, Terho and Wilson, James G and Ellinor, Patrick T and Lubitz, Steven A and Isaacs, Aaron} } @article {7798, title = {Discovery, fine-mapping, and conditional analyses of genetic variants associated with C-reactive protein in multiethnic populations using the Metabochip in the Population Architecture using Genomics and Epidemiology (PAGE) study.}, journal = {Hum Mol Genet}, volume = {27}, year = {2018}, month = {2018 Aug 15}, pages = {2940-2953}, abstract = {

C-reactive protein (CRP) is a circulating biomarker indicative of systemic inflammation. We aimed to evaluate genetic associations with CRP levels among non-European-ancestry populations through discovery, fine-mapping and conditional analyses. A total of 30~503 non-European-ancestry participants from 6 studies participating in the Population Architecture using Genomics and Epidemiology study had serum high-sensitivity CRP measurements and \~{}200~000 single nucleotide polymorphisms (SNPs) genotyped on the Metabochip. We evaluated the association between each SNP and log-transformed CRP levels using multivariate linear regression, with additive genetic models adjusted for age, sex, the first four principal components of genetic ancestry, and study-specific factors. Differential linkage disequilibrium patterns between race/ethnicity groups were used to fine-map regions associated with CRP levels. Conditional analyses evaluated for multiple independent signals within genetic regions. One hundred and sixty-three unique variants in 12 loci in overall or race/ethnicity-stratified Metabochip-wide scans reached a Bonferroni-corrected P-value <2.5E-7. Three loci have no (HACL1, OLFML2B) or only limited (PLA2G6) previous associations with CRP levels. Six loci had different top hits in race/ethnicity-specific versus overall analyses. Fine-mapping refined the signal in six loci, particularly in HNF1A. Conditional analyses provided evidence for secondary signals in LEPR, IL1RN and HNF1A, and for multiple independent signals in CRP and APOE. We identified novel variants and loci associated with CRP levels, generalized known CRP associations to a multiethnic study population, refined association signals at several loci and found evidence for multiple independent signals at several well-known loci. This study demonstrates the benefit of conducting inclusive genetic association studies in large multiethnic populations.

}, issn = {1460-2083}, doi = {10.1093/hmg/ddy211}, author = {Kocarnik, Jonathan M and Richard, Melissa and Graff, Misa and Haessler, Jeffrey and Bien, Stephanie and Carlson, Chris and Carty, Cara L and Reiner, Alexander P and Avery, Christy L and Ballantyne, Christie M and LaCroix, Andrea Z and Assimes, Themistocles L and Barbalic, Maja and Pankratz, Nathan and Tang, Weihong and Tao, Ran and Chen, Dongquan and Talavera, Gregory A and Daviglus, Martha L and Chirinos-Medina, Diana A and Pereira, Rocio and Nishimura, Katie and B{\r u}zkov{\'a}, Petra and Best, Lyle G and Ambite, Jose Luis and Cheng, Iona and Crawford, Dana C and Hindorff, Lucia A and Fornage, Myriam and Heiss, Gerardo and North, Kari E and Haiman, Christopher A and Peters, Ulrike and Le Marchand, Lo{\"\i}c and Kooperberg, Charles} } @article {7809, title = {Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6.}, journal = {Genome Biol}, volume = {19}, year = {2018}, month = {2018 07 17}, pages = {87}, abstract = {

BACKGROUND: Genome-wide association studies conducted on QRS duration, an electrocardiographic measurement associated with heart failure and sudden cardiac death, have led to novel biological insights into cardiac function. However, the variants identified fall predominantly in non-coding regions and their underlying mechanisms remain unclear.

RESULTS: Here, we identify putative functional coding variation associated with changes in the QRS interval duration by combining Illumina HumanExome BeadChip genotype data from 77,898 participants of European ancestry and 7695 of African descent in our discovery cohort, followed by replication in 111,874~individuals of European ancestry from the UK Biobank and deCODE cohorts. We identify ten novel loci, seven within coding regions, including ADAMTS6, significantly associated with QRS duration in gene-based analyses. ADAMTS6 encodes a secreted metalloprotease of currently unknown function. In vitro validation analysis shows that the QRS-associated variants lead to impaired ADAMTS6 secretion and loss-of function analysis in mice demonstrates a previously unappreciated role for ADAMTS6 in connexin 43 gap junction expression, which is essential for myocardial conduction.

CONCLUSIONS: Our approach identifies novel coding and non-coding variants underlying ventricular depolarization and provides a possible mechanism for the ADAMTS6-associated conduction changes.

}, issn = {1474-760X}, doi = {10.1186/s13059-018-1457-6}, author = {Prins, Bram P and Mead, Timothy J and Brody, Jennifer A and Sveinbjornsson, Gardar and Ntalla, Ioanna and Bihlmeyer, Nathan A and van den Berg, Marten and Bork-Jensen, Jette and Cappellani, Stefania and Van Duijvenboden, Stefan and Klena, Nikolai T and Gabriel, George C and Liu, Xiaoqin and Gulec, Cagri and Grarup, Niels and Haessler, Jeffrey and Hall, Leanne M and Iorio, Annamaria and Isaacs, Aaron and Li-Gao, Ruifang and Lin, Honghuang and Liu, Ching-Ti and Lyytik{\"a}inen, Leo-Pekka and Marten, Jonathan and Mei, Hao and M{\"u}ller-Nurasyid, Martina and Orini, Michele and Padmanabhan, Sandosh and Radmanesh, Farid and Ramirez, Julia and Robino, Antonietta and Schwartz, Molly and van Setten, Jessica and Smith, Albert V and Verweij, Niek and Warren, Helen R and Weiss, Stefan and Alonso, Alvaro and Arnar, David O and Bots, Michiel L and de Boer, Rudolf A and Dominiczak, Anna F and Eijgelsheim, Mark and Ellinor, Patrick T and Guo, Xiuqing and Felix, Stephan B and Harris, Tamara B and Hayward, Caroline and Heckbert, Susan R and Huang, Paul L and Jukema, J W and K{\"a}h{\"o}nen, Mika and Kors, Jan A and Lambiase, Pier D and Launer, Lenore J and Li, Man and Linneberg, Allan and Nelson, Christopher P and Pedersen, Oluf and Perez, Marco and Peters, Annette and Polasek, Ozren and Psaty, Bruce M and Raitakari, Olli T and Rice, Kenneth M and Rotter, Jerome I and Sinner, Moritz F and Soliman, Elsayed Z and Spector, Tim D and Strauch, Konstantin and Thorsteinsdottir, Unnur and Tinker, Andrew and Trompet, Stella and Uitterlinden, Andre and Vaartjes, Ilonca and van der Meer, Peter and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Waldenberger, Melanie and Wilson, James G and Xie, Zhijun and Asselbergs, Folkert W and D{\"o}rr, Marcus and van Duijn, Cornelia M and Gasparini, Paolo and Gudbjartsson, Daniel F and Gudnason, Vilmundur and Hansen, Torben and K{\"a}{\"a}b, Stefan and Kanters, J{\o}rgen K and Kooperberg, Charles and Lehtim{\"a}ki, Terho and Lin, Henry J and Lubitz, Steven A and Mook-Kanamori, Dennis O and Conti, Francesco J and Newton-Cheh, Christopher H and Rosand, Jonathan and Rudan, Igor and Samani, Nilesh J and Sinagra, Gianfranco and Smith, Blair H and Holm, Hilma and Stricker, Bruno H and Ulivi, Sheila and Sotoodehnia, Nona and Apte, Suneel S and van der Harst, Pim and Stefansson, Kari and Munroe, Patricia B and Arking, Dan E and Lo, Cecilia W and Jamshidi, Yalda} } @article {7784, title = {ExomeChip-Wide Analysis of 95 626 Individuals Identifies 10 Novel Loci Associated With QT and JT Intervals.}, journal = {Circ Genom Precis Med}, volume = {11}, year = {2018}, month = {2018 Jan}, pages = {e001758}, abstract = {

BACKGROUND: QT interval, measured through a standard ECG, captures the time it takes for the cardiac ventricles to depolarize and repolarize. JT interval is the component of the QT interval that reflects ventricular repolarization alone. Prolonged QT interval has been linked to higher risk of sudden cardiac arrest.

METHODS AND RESULTS: We performed an ExomeChip-wide analysis for both QT and JT intervals, including 209 449 variants, both common and rare, in 17 341 genes from the Illumina Infinium HumanExome BeadChip. We identified 10 loci that modulate QT and JT interval duration that have not been previously reported in the literature using single-variant statistical models in a meta-analysis of 95 626 individuals from 23 cohorts (comprised 83 884 European ancestry individuals, 9610 blacks, 1382 Hispanics, and 750 Asians). This brings the total number of ventricular repolarization associated loci to 45. In addition, our approach of using coding variants has highlighted the role of 17 specific genes for involvement in ventricular repolarization, 7 of which are in novel loci.

CONCLUSIONS: Our analyses show a role for myocyte internal structure and interconnections in modulating QT interval duration, adding to previous known roles of potassium, sodium, and calcium ion regulation, as well as autonomic control. We anticipate that these discoveries will open new paths to the goal of making novel remedies for the prevention of lethal ventricular arrhythmias and sudden cardiac arrest.

}, issn = {2574-8300}, doi = {10.1161/CIRCGEN.117.001758}, author = {Bihlmeyer, Nathan A and Brody, Jennifer A and Smith, Albert Vernon and Warren, Helen R and Lin, Honghuang and Isaacs, Aaron and Liu, Ching-Ti and Marten, Jonathan and Radmanesh, Farid and Hall, Leanne M and Grarup, Niels and Mei, Hao and M{\"u}ller-Nurasyid, Martina and Huffman, Jennifer E and Verweij, Niek and Guo, Xiuqing and Yao, Jie and Li-Gao, Ruifang and van den Berg, Marten and Weiss, Stefan and Prins, Bram P and van Setten, Jessica and Haessler, Jeffrey and Lyytik{\"a}inen, Leo-Pekka and Li, Man and Alonso, Alvaro and Soliman, Elsayed Z and Bis, Joshua C and Austin, Tom and Chen, Yii-Der Ida and Psaty, Bruce M and Harrris, Tamara B and Launer, Lenore J and Padmanabhan, Sandosh and Dominiczak, Anna and Huang, Paul L and Xie, Zhijun and Ellinor, Patrick T and Kors, Jan A and Campbell, Archie and Murray, Alison D and Nelson, Christopher P and Tobin, Martin D and Bork-Jensen, Jette and Hansen, Torben and Pedersen, Oluf and Linneberg, Allan and Sinner, Moritz F and Peters, Annette and Waldenberger, Melanie and Meitinger, Thomas and Perz, Siegfried and Kolcic, Ivana and Rudan, Igor and de Boer, Rudolf A and van der Meer, Peter and Lin, Henry J and Taylor, Kent D and de Mutsert, Ren{\'e}e and Trompet, Stella and Jukema, J Wouter and Maan, Arie C and Stricker, Bruno H C and Rivadeneira, Fernando and Uitterlinden, Andre and V{\"o}lker, Uwe and Homuth, Georg and V{\"o}lzke, Henry and Felix, Stephan B and Mangino, Massimo and Spector, Timothy D and Bots, Michiel L and Perez, Marco and Raitakari, Olli T and K{\"a}h{\"o}nen, Mika and Mononen, Nina and Gudnason, Vilmundur and Munroe, Patricia B and Lubitz, Steven A and van Duijn, Cornelia M and Newton-Cheh, Christopher H and Hayward, Caroline and Rosand, Jonathan and Samani, Nilesh J and Kanters, J{\o}rgen K and Wilson, James G and K{\"a}{\"a}b, Stefan and Polasek, Ozren and van der Harst, Pim and Heckbert, Susan R and Rotter, Jerome I and Mook-Kanamori, Dennis O and Eijgelsheim, Mark and D{\"o}rr, Marcus and Jamshidi, Yalda and Asselbergs, Folkert W and Kooperberg, Charles and Lehtim{\"a}ki, Terho and Arking, Dan E and Sotoodehnia, Nona} } @article {7683, title = {Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes.}, journal = {Nat Genet}, volume = {50}, year = {2018}, month = {2018 Apr}, pages = {524-537}, abstract = {

Stroke has multiple etiologies, but the underlying genes and pathways are largely unknown. We conducted a multiancestry genome-wide-association meta-analysis in 521,612 individuals (67,162 cases and 454,450 controls) and discovered 22 new stroke risk loci, bringing the total to 32. We further found shared genetic variation with related vascular traits, including blood pressure, cardiac traits, and venous thromboembolism, at individual loci (n = 18), and~using genetic risk scores and linkage-disequilibrium-score regression. Several loci exhibited distinct association and pleiotropy patterns for etiological stroke subtypes. Eleven new susceptibility loci indicate mechanisms not previously implicated in stroke pathophysiology, with prioritization of risk variants and genes accomplished through bioinformatics analyses using extensive functional datasets. Stroke risk loci were significantly enriched in drug targets for antithrombotic therapy.

}, issn = {1546-1718}, doi = {10.1038/s41588-018-0058-3}, author = {Malik, Rainer and Chauhan, Ganesh and Traylor, Matthew and Sargurupremraj, Muralidharan and Okada, Yukinori and Mishra, Aniket and Rutten-Jacobs, Loes and Giese, Anne-Katrin and van der Laan, Sander W and Gretarsdottir, Solveig and Anderson, Christopher D and Chong, Michael and Adams, Hieab H H and Ago, Tetsuro and Almgren, Peter and Amouyel, Philippe and Ay, Hakan and Bartz, Traci M and Benavente, Oscar R and Bevan, Steve and Boncoraglio, Giorgio B and Brown, Robert D and Butterworth, Adam S and Carrera, Caty and Carty, Cara L and Chasman, Daniel I and Chen, Wei-Min and Cole, John W and Correa, Adolfo and Cotlarciuc, Ioana and Cruchaga, Carlos and Danesh, John and de Bakker, Paul I W and DeStefano, Anita L and den Hoed, Marcel and Duan, Qing and Engelter, Stefan T and Falcone, Guido J and Gottesman, Rebecca F and Grewal, Raji P and Gudnason, Vilmundur and Gustafsson, Stefan and Haessler, Jeffrey and Harris, Tamara B and Hassan, Ahamad and Havulinna, Aki S and Heckbert, Susan R and Holliday, Elizabeth G and Howard, George and Hsu, Fang-Chi and Hyacinth, Hyacinth I and Ikram, M Arfan and Ingelsson, Erik and Irvin, Marguerite R and Jian, Xueqiu and Jimenez-Conde, Jordi and Johnson, Julie A and Jukema, J Wouter and Kanai, Masahiro and Keene, Keith L and Kissela, Brett M and Kleindorfer, Dawn O and Kooperberg, Charles and Kubo, Michiaki and Lange, Leslie A and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Lee, Jin-Moo and Lemmens, Robin and Leys, Didier and Lewis, Cathryn M and Lin, Wei-Yu and Lindgren, Arne G and Lorentzen, Erik and Magnusson, Patrik K and Maguire, Jane and Manichaikul, Ani and McArdle, Patrick F and Meschia, James F and Mitchell, Braxton D and Mosley, Thomas H and Nalls, Michael A and Ninomiya, Toshiharu and O{\textquoteright}Donnell, Martin J and Psaty, Bruce M and Pulit, Sara L and Rannikmae, Kristiina and Reiner, Alexander P and Rexrode, Kathryn M and Rice, Kenneth and Rich, Stephen S and Ridker, Paul M and Rost, Natalia S and Rothwell, Peter M and Rotter, Jerome I and Rundek, Tatjana and Sacco, Ralph L and Sakaue, Saori and Sale, Mich{\`e}le M and Salomaa, Veikko and Sapkota, Bishwa R and Schmidt, Reinhold and Schmidt, Carsten O and Schminke, Ulf and Sharma, Pankaj and Slowik, Agnieszka and Sudlow, Cathie L M and Tanislav, Christian and Tatlisumak, Turgut and Taylor, Kent D and Thijs, Vincent N S and Thorleifsson, Gudmar and Thorsteinsdottir, Unnur and Tiedt, Steffen and Trompet, Stella and Tzourio, Christophe and van Duijn, Cornelia M and Walters, Matthew and Wareham, Nicholas J and Wassertheil-Smoller, Sylvia and Wilson, James G and Wiggins, Kerri L and Yang, Qiong and Yusuf, Salim and Bis, Joshua C and Pastinen, Tomi and Ruusalepp, Arno and Schadt, Eric E and Koplev, Simon and Bj{\"o}rkegren, Johan L M and Codoni, Veronica and Civelek, Mete and Smith, Nicholas L and Tr{\'e}gou{\"e}t, David A and Christophersen, Ingrid E and Roselli, Carolina and Lubitz, Steven A and Ellinor, Patrick T and Tai, E Shyong and Kooner, Jaspal S and Kato, Norihiro and He, Jiang and van der Harst, Pim and Elliott, Paul and Chambers, John C and Takeuchi, Fumihiko and Johnson, Andrew D and Sanghera, Dharambir K and Melander, Olle and Jern, Christina and Strbian, Daniel and Fernandez-Cadenas, Israel and Longstreth, W T and Rolfs, Arndt and Hata, Jun and Woo, Daniel and Rosand, Jonathan and Par{\'e}, Guillaume and Hopewell, Jemma C and Saleheen, Danish and Stefansson, Kari and Worrall, Bradford B and Kittner, Steven J and Seshadri, Sudha and Fornage, Myriam and Markus, Hugh S and Howson, Joanna M M and Kamatani, Yoichiro and Debette, Stephanie and Dichgans, Martin and Malik, Rainer and Chauhan, Ganesh and Traylor, Matthew and Sargurupremraj, Muralidharan and Okada, Yukinori and Mishra, Aniket and Rutten-Jacobs, Loes and Giese, Anne-Katrin and van der Laan, Sander W and Gretarsdottir, Solveig and Anderson, Christopher D and Chong, Michael and Adams, Hieab H H and Ago, Tetsuro and Almgren, Peter and Amouyel, Philippe and Ay, Hakan and Bartz, Traci M and Benavente, Oscar R and Bevan, Steve and Boncoraglio, Giorgio B and Brown, Robert D and Butterworth, Adam S and Carrera, Caty and Carty, Cara L and Chasman, Daniel I and Chen, Wei-Min and Cole, John W and Correa, Adolfo and Cotlarciuc, Ioana and Cruchaga, Carlos and Danesh, John and de Bakker, Paul I W and DeStefano, Anita L and Hoed, Marcel den and Duan, Qing and Engelter, Stefan T and Falcone, Guido J and Gottesman, Rebecca F and Grewal, Raji P and Gudnason, Vilmundur and Gustafsson, Stefan and Haessler, Jeffrey and Harris, Tamara B and Hassan, Ahamad and Havulinna, Aki S and Heckbert, Susan R and Holliday, Elizabeth G and Howard, George and Hsu, Fang-Chi and Hyacinth, Hyacinth I and Ikram, M Arfan and Ingelsson, Erik and Irvin, Marguerite R and Jian, Xueqiu and Jimenez-Conde, Jordi and Johnson, Julie A and Jukema, J Wouter and Kanai, Masahiro and Keene, Keith L and Kissela, Brett M and Kleindorfer, Dawn O and Kooperberg, Charles and Kubo, Michiaki and Lange, Leslie A and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Lee, Jin-Moo and Lemmens, Robin and Leys, Didier and Lewis, Cathryn M and Lin, Wei-Yu and Lindgren, Arne G and Lorentzen, Erik and Magnusson, Patrik K and Maguire, Jane and Manichaikul, Ani and McArdle, Patrick F and Meschia, James F and Mitchell, Braxton D and Mosley, Thomas H and Nalls, Michael A and Ninomiya, Toshiharu and O{\textquoteright}Donnell, Martin J and Psaty, Bruce M and Pulit, Sara L and Rannikmae, Kristiina and Reiner, Alexander P and Rexrode, Kathryn M and Rice, Kenneth and Rich, Stephen S and Ridker, Paul M and Rost, Natalia S and Rothwell, Peter M and Rotter, Jerome I and Rundek, Tatjana and Sacco, Ralph L and Sakaue, Saori and Sale, Mich{\`e}le M and Salomaa, Veikko and Sapkota, Bishwa R and Schmidt, Reinhold and Schmidt, Carsten O and Schminke, Ulf and Sharma, Pankaj and Slowik, Agnieszka and Sudlow, Cathie L M and Tanislav, Christian and Tatlisumak, Turgut and Taylor, Kent D and Thijs, Vincent N S and Thorleifsson, Gudmar and Thorsteinsdottir, Unnur and Tiedt, Steffen and Trompet, Stella and Tzourio, Christophe and van Duijn, Cornelia M and Walters, Matthew and Wareham, Nicholas J and Wassertheil-Smoller, Sylvia and Wilson, James G and Wiggins, Kerri L and Yang, Qiong and Yusuf, Salim and Amin, Najaf and Aparicio, Hugo S and Arnett, Donna K and Attia, John and Beiser, Alexa S and Berr, Claudine and Buring, Julie E and Bustamante, Mariana and Caso, Valeria and Cheng, Yu-Ching and Choi, Seung Hoan and Chowhan, Ayesha and Cullell, Natalia and Dartigues, Jean-Fran{\c c}ois and Delavaran, Hossein and Delgado, Pilar and D{\"o}rr, Marcus and Engstr{\"o}m, Gunnar and Ford, Ian and Gurpreet, Wander S and Hamsten, Anders and Heitsch, Laura and Hozawa, Atsushi and Ibanez, Laura and Ilinca, Andreea and Ingelsson, Martin and Iwasaki, Motoki and Jackson, Rebecca D and Jood, Katarina and Jousilahti, Pekka and Kaffashian, Sara and Kalra, Lalit and Kamouchi, Masahiro and Kitazono, Takanari and Kjartansson, Olafur and Kloss, Manja and Koudstaal, Peter J and Krupinski, Jerzy and Labovitz, Daniel L and Laurie, Cathy C and Levi, Christopher R and Li, Linxin and Lind, Lars and Lindgren, Cecilia M and Lioutas, Vasileios and Liu, Yong Mei and Lopez, Oscar L and Makoto, Hirata and Martinez-Majander, Nicolas and Matsuda, Koichi and Minegishi, Naoko and Montaner, Joan and Morris, Andrew P and Mui{\~n}o, Elena and M{\"u}ller-Nurasyid, Martina and Norrving, Bo and Ogishima, Soichi and Parati, Eugenio A and Peddareddygari, Leema Reddy and Pedersen, Nancy L and Pera, Joanna and Perola, Markus and Pezzini, Alessandro and Pileggi, Silvana and Rabionet, Raquel and Riba-Llena, Iolanda and Ribas{\'e}s, Marta and Romero, Jose R and Roquer, Jaume and Rudd, Anthony G and Sarin, Antti-Pekka and Sarju, Ralhan and Sarnowski, Chloe and Sasaki, Makoto and Satizabal, Claudia L and Satoh, Mamoru and Sattar, Naveed and Sawada, Norie and Sibolt, Gerli and Sigurdsson, {\'A}sgeir and Smith, Albert and Sobue, Kenji and Soriano-T{\'a}rraga, Carolina and Stanne, Tara and Stine, O Colin and Stott, David J and Strauch, Konstantin and Takai, Takako and Tanaka, Hideo and Tanno, Kozo and Teumer, Alexander and Tomppo, Liisa and Torres-Aguila, Nuria P and Touze, Emmanuel and Tsugane, Shoichiro and Uitterlinden, Andr{\'e} G and Valdimarsson, Einar M and van der Lee, Sven J and V{\"o}lzke, Henry and Wakai, Kenji and Weir, David and Williams, Stephen R and Wolfe, Charles D A and Wong, Quenna and Xu, Huichun and Yamaji, Taiki and Sanghera, Dharambir K and Melander, Olle and Jern, Christina and Strbian, Daniel and Fernandez-Cadenas, Israel and Longstreth, W T and Rolfs, Arndt and Hata, Jun and Woo, Daniel and Rosand, Jonathan and Par{\'e}, Guillaume and Hopewell, Jemma C and Saleheen, Danish and Stefansson, Kari and Worrall, Bradford B and Kittner, Steven J and Seshadri, Sudha and Fornage, Myriam and Markus, Hugh S and Howson, Joanna M M and Kamatani, Yoichiro and Debette, Stephanie and Dichgans, Martin} } @article {8200, title = {Genomic and transcriptomic association studies identify 16 novel susceptibility loci for venous thromboembolism.}, journal = {Blood}, volume = {134}, year = {2019}, month = {2019 Nov 07}, pages = {1645-1657}, abstract = {

Venous thromboembolism (VTE) is a significant contributor to morbidity and mortality. To advance our understanding of the biology contributing to VTE, we conducted a genome-wide association study (GWAS) of VTE and a transcriptome-wide association study (TWAS) based on imputed gene expression from whole blood and liver. We meta-analyzed GWAS data from 18 studies for 30 234 VTE cases and 172 122 controls and assessed the association between 12 923 718 genetic variants and VTE. We generated variant prediction scores of gene expression from whole blood and liver tissue and assessed them for association with VTE. Mendelian randomization analyses were conducted for traits genetically associated with novel VTE loci. We identified 34 independent genetic signals for VTE risk from GWAS meta-analysis, of which 14 are newly reported associations. This included 11 newly associated genetic loci (C1orf198, PLEK, OSMR-AS1, NUGGC/SCARA5, GRK5, MPHOSPH9, ARID4A, PLCG2, SMG6, EIF5A, and STX10) of which 6 replicated, and 3 new independent signals in 3 known genes. Further, TWAS identified 5 additional genetic loci with imputed gene expression levels differing between cases and controls in whole blood (SH2B3, SPSB1, RP11-747H7.3, RP4-737E23.2) and in liver (ERAP1). At some GWAS loci, we found suggestive evidence that the VTE association signal for novel and previously known regions colocalized with expression quantitative trait locus signals. Mendelian randomization analyses suggested that blood traits may contribute to the underlying risk of VTE. To conclude, we identified 16 novel susceptibility loci for VTE; for some loci, the association signals are likely mediated through gene expression of nearby genes.

}, issn = {1528-0020}, doi = {10.1182/blood.2019000435}, author = {Lindstr{\"o}m, Sara and Wang, Lu and Smith, Erin N and Gordon, William and van Hylckama Vlieg, Astrid and de Andrade, Mariza and Brody, Jennifer A and Pattee, Jack W and Haessler, Jeffrey and Brumpton, Ben M and Chasman, Daniel I and Suchon, Pierre and Chen, Ming-Huei and Turman, Constance and Germain, Marine and Wiggins, Kerri L and MacDonald, James and Braekkan, Sigrid K and Armasu, Sebastian M and Pankratz, Nathan and Jackson, Rebecca D and Nielsen, Jonas B and Giulianini, Franco and Puurunen, Marja K and Ibrahim, Manal and Heckbert, Susan R and Damrauer, Scott M and Natarajan, Pradeep and Klarin, Derek and de Vries, Paul S and Sabater-Lleal, Maria and Huffman, Jennifer E and Bammler, Theo K and Frazer, Kelly A and McCauley, Bryan M and Taylor, Kent and Pankow, James S and Reiner, Alexander P and Gabrielsen, Maiken E and Deleuze, Jean-Francois and O{\textquoteright}Donnell, Chris J and Kim, Jihye and McKnight, Barbara and Kraft, Peter and Hansen, John-Bjarne and Rosendaal, Frits R and Heit, John A and Psaty, Bruce M and Tang, Weihong and Kooperberg, Charles and Hveem, Kristian and Ridker, Paul M and Morange, Pierre-Emmanuel and Johnson, Andrew D and Kabrhel, Christopher and Tr{\'e}gou{\"e}t, David-Alexandre and Smith, Nicholas L} } @article {8368, title = {Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction.}, journal = {Nat Commun}, volume = {11}, year = {2020}, month = {2020 May 21}, pages = {2542}, abstract = {

The electrocardiographic PR interval reflects atrioventricular conduction, and is associated with conduction abnormalities, pacemaker implantation, atrial fibrillation (AF), and cardiovascular mortality. Here we report a multi-ancestry (N = 293,051) genome-wide association meta-analysis for the PR interval, discovering 202 loci of which 141 have not previously been reported. Variants at identified loci increase the percentage of heritability explained, from 33.5\% to 62.6\%. We observe enrichment for cardiac muscle developmental/contractile and cytoskeletal genes, highlighting key regulation processes for atrioventricular conduction. Additionally, 8 loci not previously reported harbor genes underlying inherited arrhythmic syndromes and/or cardiomyopathies suggesting a role for these genes in cardiovascular pathology in the general population. We show that polygenic predisposition to PR interval duration is an endophenotype for cardiovascular disease, including distal conduction disease, AF, and atrioventricular pre-excitation. These findings advance our understanding of the polygenic basis of cardiac conduction, and the genetic relationship between PR interval duration and cardiovascular disease.

}, issn = {2041-1723}, doi = {10.1038/s41467-020-15706-x}, author = {Ntalla, Ioanna and Weng, Lu-Chen and Cartwright, James H and Hall, Amelia Weber and Sveinbjornsson, Gardar and Tucker, Nathan R and Choi, Seung Hoan and Chaffin, Mark D and Roselli, Carolina and Barnes, Michael R and Mifsud, Borbala and Warren, Helen R and Hayward, Caroline and Marten, Jonathan and Cranley, James J and Concas, Maria Pina and Gasparini, Paolo and Boutin, Thibaud and Kolcic, Ivana and Polasek, Ozren and Rudan, Igor and Araujo, Nathalia M and Lima-Costa, Maria Fernanda and Ribeiro, Antonio Luiz P and Souza, Renan P and Tarazona-Santos, Eduardo and Giedraitis, Vilmantas and Ingelsson, Erik and Mahajan, Anubha and Morris, Andrew P and del Greco M, Fabiola and Foco, Luisa and G{\"o}gele, Martin and Hicks, Andrew A and Cook, James P and Lind, Lars and Lindgren, Cecilia M and Sundstr{\"o}m, Johan and Nelson, Christopher P and Riaz, Muhammad B and Samani, Nilesh J and Sinagra, Gianfranco and Ulivi, Sheila and K{\"a}h{\"o}nen, Mika and Mishra, Pashupati P and Mononen, Nina and Nikus, Kjell and Caulfield, Mark J and Dominiczak, Anna and Padmanabhan, Sandosh and Montasser, May E and O{\textquoteright}Connell, Jeff R and Ryan, Kathleen and Shuldiner, Alan R and Aeschbacher, Stefanie and Conen, David and Risch, Lorenz and Th{\'e}riault, S{\'e}bastien and Hutri-K{\"a}h{\"o}nen, Nina and Lehtim{\"a}ki, Terho and Lyytik{\"a}inen, Leo-Pekka and Raitakari, Olli T and Barnes, Catriona L K and Campbell, Harry and Joshi, Peter K and Wilson, James F and Isaacs, Aaron and Kors, Jan A and van Duijn, Cornelia M and Huang, Paul L and Gudnason, Vilmundur and Harris, Tamara B and Launer, Lenore J and Smith, Albert V and Bottinger, Erwin P and Loos, Ruth J F and Nadkarni, Girish N and Preuss, Michael H and Correa, Adolfo and Mei, Hao and Wilson, James and Meitinger, Thomas and M{\"u}ller-Nurasyid, Martina and Peters, Annette and Waldenberger, Melanie and Mangino, Massimo and Spector, Timothy D and Rienstra, Michiel and van de Vegte, Yordi J and van der Harst, Pim and Verweij, Niek and K{\"a}{\"a}b, Stefan and Schramm, Katharina and Sinner, Moritz F and Strauch, Konstantin and Cutler, Michael J and Fatkin, Diane and London, Barry and Olesen, Morten and Roden, Dan M and Benjamin Shoemaker, M and Gustav Smith, J and Biggs, Mary L and Bis, Joshua C and Brody, Jennifer A and Psaty, Bruce M and Rice, Kenneth and Sotoodehnia, Nona and De Grandi, Alessandro and Fuchsberger, Christian and Pattaro, Cristian and Pramstaller, Peter P and Ford, Ian and Wouter Jukema, J and Macfarlane, Peter W and Trompet, Stella and D{\"o}rr, Marcus and Felix, Stephan B and V{\"o}lker, Uwe and Weiss, Stefan and Havulinna, Aki S and Jula, Antti and S{\"a}{\"a}ksj{\"a}rvi, Katri and Salomaa, Veikko and Guo, Xiuqing and Heckbert, Susan R and Lin, Henry J and Rotter, Jerome I and Taylor, Kent D and Yao, Jie and de Mutsert, Ren{\'e}e and Maan, Arie C and Mook-Kanamori, Dennis O and Noordam, Raymond and Cucca, Francesco and Ding, Jun and Lakatta, Edward G and Qian, Yong and Tarasov, Kirill V and Levy, Daniel and Lin, Honghuang and Newton-Cheh, Christopher H and Lunetta, Kathryn L and Murray, Alison D and Porteous, David J and Smith, Blair H and Stricker, Bruno H and Uitterlinden, Andre and van den Berg, Marten E and Haessler, Jeffrey and Jackson, Rebecca D and Kooperberg, Charles and Peters, Ulrike and Reiner, Alexander P and Whitsel, Eric A and Alonso, Alvaro and Arking, Dan E and Boerwinkle, Eric and Ehret, Georg B and Soliman, Elsayed Z and Avery, Christy L and Gogarten, Stephanie M and Kerr, Kathleen F and Laurie, Cathy C and Seyerle, Amanda A and Stilp, Adrienne and Assa, Solmaz and Abdullah Said, M and Yldau van der Ende, M and Lambiase, Pier D and Orini, Michele and Ramirez, Julia and Van Duijvenboden, Stefan and Arnar, David O and Gudbjartsson, Daniel F and Holm, Hilma and Sulem, Patrick and Thorleifsson, Gudmar and Thorolfsdottir, Rosa B and Thorsteinsdottir, Unnur and Benjamin, Emelia J and Tinker, Andrew and Stefansson, Kari and Ellinor, Patrick T and Jamshidi, Yalda and Lubitz, Steven A and Munroe, Patricia B} } @article {8838, title = {BinomiRare: A robust test for association of a rare genetic variant with a binary outcome for mixed models and any case-control proportion.}, journal = {HGG Adv}, volume = {2}, year = {2021}, month = {2021 Jul 08}, abstract = {

Whole-genome sequencing (WGS) and whole-exome sequencing studies have become increasingly available and are being used to identify rare genetic variants associated with health and disease outcomes. Investigators routinely use mixed models to account for genetic relatedness or other clustering variables (e.g., family or household) when testing genetic associations. However, no existing tests of the association of a rare variant with a binary outcome in the presence of correlated data control the type 1 error where there are (1) few individuals harboring the rare allele, (2) a small proportion of cases relative to controls, and (3) covariates to adjust for. Here, we address all three issues in developing a framework for testing rare variant association with a binary trait in individuals harboring at least one risk allele. In this framework, we estimate outcome probabilities under the null hypothesis and then use them, within the individuals with at least one risk allele, to test variant associations. We extend the BinomiRare test, which was previously proposed for independent observations, and develop the Conway-Maxwell-Poisson (CMP) test and study their properties in simulations. We show that the BinomiRare test always controls the type 1 error, while the CMP test sometimes does not. We then use the BinomiRare test to test the association of rare genetic variants in target genes with small-vessel disease (SVD) stroke, short sleep, and venous thromboembolism (VTE), in whole-genome sequence data from the Trans-Omics for Precision Medicine (TOPMed) program.

}, issn = {2666-2477}, doi = {10.1016/j.xhgg.2021.100040}, author = {Sofer, Tamar and Lee, Jiwon and Kurniansyah, Nuzulul and Jain, Deepti and Laurie, Cecelia A and Gogarten, Stephanie M and Conomos, Matthew P and Heavner, Ben and Hu, Yao and Kooperberg, Charles and Haessler, Jeffrey and Vasan, Ramachandran S and Cupples, L Adrienne and Coombes, Brandon J and Seyerle, Amanda and Gharib, Sina A and Chen, Han and O{\textquoteright}Connell, Jeffrey R and Zhang, Man and Gottlieb, Daniel J and Psaty, Bruce M and Longstreth, W T and Rotter, Jerome I and Taylor, Kent D and Rich, Stephen S and Guo, Xiuqing and Boerwinkle, Eric and Morrison, Alanna C and Pankow, James S and Johnson, Andrew D and Pankratz, Nathan and Reiner, Alex P and Redline, Susan and Smith, Nicholas L and Rice, Kenneth M and Schifano, Elizabeth D} } @article {8986, title = {Clonal Hematopoiesis Is Associated With Higher Risk of Stroke.}, journal = {Stroke}, volume = {53}, year = {2022}, month = {2022 Mar}, pages = {788-797}, abstract = {

BACKGROUND AND PURPOSE: Clonal hematopoiesis of indeterminate potential (CHIP) is a novel age-related risk factor for cardiovascular disease-related morbidity and mortality. The association of CHIP with risk of incident ischemic stroke was reported previously in an exploratory analysis including a small number of incident stroke cases without replication and lack of stroke subphenotyping. The purpose of this study was to discover whether CHIP is a risk factor for ischemic or hemorrhagic stroke.

METHODS: We utilized plasma genome sequence data of blood DNA to identify CHIP in 78 752 individuals from 8 prospective cohorts and biobanks. We then assessed the association of CHIP and commonly mutated individual CHIP driver genes (, , and ) with any stroke, ischemic stroke, and hemorrhagic stroke.

RESULTS: CHIP was associated with an increased risk of total stroke (hazard ratio, 1.14 [95\% CI, 1.03-1.27]; =0.01) after adjustment for age, sex, and race. We observed associations with CHIP with risk of hemorrhagic stroke (hazard ratio, 1.24 [95\% CI, 1.01-1.51]; =0.04) and with small vessel ischemic stroke subtypes. In gene-specific association results, showed the strongest association with total stroke and ischemic stroke, whereas and were each associated with increased risk of hemorrhagic stroke.

CONCLUSIONS: CHIP is associated with an increased risk of stroke, particularly with hemorrhagic and small vessel ischemic stroke. Future studies clarifying the relationship between CHIP and subtypes of stroke are needed.

}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.121.037388}, author = {Bhattacharya, Romit and Zekavat, Seyedeh M and Haessler, Jeffrey and Fornage, Myriam and Raffield, Laura and Uddin, Md Mesbah and Bick, Alexander G and Niroula, Abhishek and Yu, Bing and Gibson, Christopher and Griffin, Gabriel and Morrison, Alanna C and Psaty, Bruce M and Longstreth, William T and Bis, Joshua C and Rich, Stephen S and Rotter, Jerome I and Tracy, Russell P and Correa, Adolfo and Seshadri, Sudha and Johnson, Andrew and Collins, Jason M and Hayden, Kathleen M and Madsen, Tracy E and Ballantyne, Christie M and Jaiswal, Siddhartha and Ebert, Benjamin L and Kooperberg, Charles and Manson, JoAnn E and Whitsel, Eric A and Natarajan, Pradeep and Reiner, Alexander P} } @article {9176, title = {Large-scale genome-wide association study of coronary artery disease in genetically diverse populations.}, journal = {Nat Med}, volume = {28}, year = {2022}, month = {2022 08}, pages = {1679-1692}, abstract = {

We report a genome-wide association study (GWAS) of coronary artery disease (CAD) incorporating nearly a quarter of a million cases, in which existing studies are integrated with data from cohorts of white, Black and Hispanic individuals from the Million Veteran Program. We document near equivalent heritability of CAD across multiple ancestral groups, identify 95 novel loci, including nine on the X chromosome, detect eight loci of genome-wide significance in Black and Hispanic individuals, and demonstrate that two common haplotypes at the 9p21 locus are responsible for risk stratification in all populations except those of African origin, in which these haplotypes are virtually absent. Moreover, in the largest GWAS for angiographically derived coronary atherosclerosis performed to date, we find 15 loci of genome-wide significance that robustly overlap with established loci for clinical CAD. Phenome-wide association analyses of novel loci and polygenic risk scores (PRSs) augment signals related to insulin resistance, extend pleiotropic associations of these loci to include smoking and family history, and precisely document the markedly reduced transferability of existing PRSs to Black individuals. Downstream integrative analyses reinforce the critical roles of vascular endothelial, fibroblast, and smooth muscle cells in CAD susceptibility, but also point to a shared biology between atherosclerosis and oncogenesis. This study highlights the value of diverse populations in further characterizing the genetic architecture of CAD.

}, keywords = {Coronary Artery Disease, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1546-170X}, doi = {10.1038/s41591-022-01891-3}, author = {Tcheandjieu, Catherine and Zhu, Xiang and Hilliard, Austin T and Clarke, Shoa L and Napolioni, Valerio and Ma, Shining and Lee, Kyung Min and Fang, Huaying and Chen, Fei and Lu, Yingchang and Tsao, Noah L and Raghavan, Sridharan and Koyama, Satoshi and Gorman, Bryan R and Vujkovic, Marijana and Klarin, Derek and Levin, Michael G and Sinnott-Armstrong, Nasa and Wojcik, Genevieve L and Plomondon, Mary E and Maddox, Thomas M and Waldo, Stephen W and Bick, Alexander G and Pyarajan, Saiju and Huang, Jie and Song, Rebecca and Ho, Yuk-Lam and Buyske, Steven and Kooperberg, Charles and Haessler, Jeffrey and Loos, Ruth J F and Do, Ron and Verbanck, Marie and Chaudhary, Kumardeep and North, Kari E and Avery, Christy L and Graff, Mariaelisa and Haiman, Christopher A and Le Marchand, Lo{\"\i}c and Wilkens, Lynne R and Bis, Joshua C and Leonard, Hampton and Shen, Botong and Lange, Leslie A and Giri, Ayush and Dikilitas, Ozan and Kullo, Iftikhar J and Stanaway, Ian B and Jarvik, Gail P and Gordon, Adam S and Hebbring, Scott and Namjou, Bahram and Kaufman, Kenneth M and Ito, Kaoru and Ishigaki, Kazuyoshi and Kamatani, Yoichiro and Verma, Shefali S and Ritchie, Marylyn D and Kember, Rachel L and Baras, Aris and Lotta, Luca A and Kathiresan, Sekar and Hauser, Elizabeth R and Miller, Donald R and Lee, Jennifer S and Saleheen, Danish and Reaven, Peter D and Cho, Kelly and Gaziano, J Michael and Natarajan, Pradeep and Huffman, Jennifer E and Voight, Benjamin F and Rader, Daniel J and Chang, Kyong-Mi and Lynch, Julie A and Damrauer, Scott M and Wilson, Peter W F and Tang, Hua and Sun, Yan V and Tsao, Philip S and O{\textquoteright}Donnell, Christopher J and Assimes, Themistocles L} } @article {9100, title = {A multi-ethnic polygenic risk score is associated with hypertension prevalence and progression throughout adulthood.}, journal = {Nat Commun}, volume = {13}, year = {2022}, month = {2022 Jun 21}, pages = {3549}, abstract = {

In a multi-stage analysis of 52,436 individuals aged 17-90 across diverse cohorts and biobanks, we train, test, and evaluate a polygenic risk score (PRS) for hypertension risk and progression. The PRS is trained using genome-wide association studies (GWAS) for systolic, diastolic blood pressure, and hypertension, respectively. For each trait, PRS is selected by optimizing the coefficient of variation (CV) across estimated effect sizes from multiple potential PRS using the same GWAS, after which the 3 trait-specific PRSs are combined via an unweighted sum called "PRSsum", forming the HTN-PRS. The HTN-PRS is associated with both prevalent and incident hypertension at 4-6 years of follow up. This association is further confirmed in age-stratified analysis. In an independent biobank of 40,201 individuals, the HTN-PRS is confirmed to be predictive of increased risk for coronary artery disease, ischemic stroke, type 2 diabetes, and chronic kidney disease.

}, keywords = {Adult, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Hypertension, Multifactorial Inheritance, Prevalence, Risk Factors}, issn = {2041-1723}, doi = {10.1038/s41467-022-31080-2}, author = {Kurniansyah, Nuzulul and Goodman, Matthew O and Kelly, Tanika N and Elfassy, Tali and Wiggins, Kerri L and Bis, Joshua C and Guo, Xiuqing and Palmas, Walter and Taylor, Kent D and Lin, Henry J and Haessler, Jeffrey and Gao, Yan and Shimbo, Daichi and Smith, Jennifer A and Yu, Bing and Feofanova, Elena V and Smit, Roelof A J and Wang, Zhe and Hwang, Shih-Jen and Liu, Simin and Wassertheil-Smoller, Sylvia and Manson, JoAnn E and Lloyd-Jones, Donald M and Rich, Stephen S and Loos, Ruth J F and Redline, Susan and Correa, Adolfo and Kooperberg, Charles and Fornage, Myriam and Kaplan, Robert C and Psaty, Bruce M and Rotter, Jerome I and Arnett, Donna K and Morrison, Alanna C and Franceschini, Nora and Levy, Daniel and Sofer, Tamar} } @article {9168, title = {Rare genetic variants explain missing heritability in smoking.}, journal = {Nat Hum Behav}, year = {2022}, month = {2022 Aug 04}, abstract = {

Common genetic variants explain less variation in complex phenotypes than inferred from family-based studies, and there is a debate on the source of this {\textquoteright}missing heritability{\textquoteright}. We investigated the contribution of rare genetic variants to tobacco use with whole-genome sequences from up to 26,257 unrelated individuals of European ancestries and 11,743 individuals of African ancestries. Across four smoking traits, single-nucleotide-polymorphism-based heritability ([Formula: see text]) was estimated from 0.13 to 0.28 (s.e., 0.10-0.13) in European ancestries, with 35-74\% of it attributable to rare variants with minor allele frequencies between 0.01\% and 1\%. These heritability estimates are 1.5-4 times higher than past estimates based on common variants alone and accounted for 60\% to 100\% of our pedigree-based estimates of narrow-sense heritability ([Formula: see text], 0.18-0.34). In the African ancestry samples, [Formula: see text] was estimated from 0.03 to 0.33 (s.e., 0.09-0.14) across the four smoking traits. These results suggest that rare variants are important contributors to the heritability of smoking.

}, issn = {2397-3374}, doi = {10.1038/s41562-022-01408-5}, author = {Jang, Seon-Kyeong and Evans, Luke and Fialkowski, Allison and Arnett, Donna K and Ashley-Koch, Allison E and Barnes, Kathleen C and Becker, Diane M and Bis, Joshua C and Blangero, John and Bleecker, Eugene R and Boorgula, Meher Preethi and Bowden, Donald W and Brody, Jennifer A and Cade, Brian E and Jenkins, Brenda W Campbell and Carson, April P and Chavan, Sameer and Cupples, L Adrienne and Custer, Brian and Damrauer, Scott M and David, Sean P and de Andrade, Mariza and Dinardo, Carla L and Fingerlin, Tasha E and Fornage, Myriam and Freedman, Barry I and Garrett, Melanie E and Gharib, Sina A and Glahn, David C and Haessler, Jeffrey and Heckbert, Susan R and Hokanson, John E and Hou, Lifang and Hwang, Shih-Jen and Hyman, Matthew C and Judy, Renae and Justice, Anne E and Kaplan, Robert C and Kardia, Sharon L R and Kelly, Shannon and Kim, Wonji and Kooperberg, Charles and Levy, Daniel and Lloyd-Jones, Donald M and Loos, Ruth J F and Manichaikul, Ani W and Gladwin, Mark T and Martin, Lisa Warsinger and Nouraie, Mehdi and Melander, Olle and Meyers, Deborah A and Montgomery, Courtney G and North, Kari E and Oelsner, Elizabeth C and Palmer, Nicholette D and Payton, Marinelle and Peljto, Anna L and Peyser, Patricia A and Preuss, Michael and Psaty, Bruce M and Qiao, Dandi and Rader, Daniel J and Rafaels, Nicholas and Redline, Susan and Reed, Robert M and Reiner, Alexander P and Rich, Stephen S and Rotter, Jerome I and Schwartz, David A and Shadyab, Aladdin H and Silverman, Edwin K and Smith, Nicholas L and Smith, J Gustav and Smith, Albert V and Smith, Jennifer A and Tang, Weihong and Taylor, Kent D and Telen, Marilyn J and Vasan, Ramachandran S and Gordeuk, Victor R and Wang, Zhe and Wiggins, Kerri L and Yanek, Lisa R and Yang, Ivana V and Young, Kendra A and Young, Kristin L and Zhang, Yingze and Liu, Dajiang J and Keller, Matthew C and Vrieze, Scott} } @article {9502, title = {Association Between Whole Blood-Derived Mitochondrial DNA Copy Number, Low-Density Lipoprotein Cholesterol, and Cardiovascular Disease Risk.}, journal = {J Am Heart Assoc}, year = {2023}, month = {2023 Oct 07}, pages = {e029090}, abstract = {

Background The relationship between mitochondrial DNA copy number (mtDNA CN) and cardiovascular disease remains elusive. Methods and Results We performed cross-sectional and prospective association analyses of blood-derived mtDNA CN and cardiovascular disease outcomes in 27 316 participants in 8 cohorts of multiple racial and ethnic groups with whole-genome sequencing. We also performed Mendelian randomization to explore causal relationships of mtDNA CN with coronary heart disease (CHD) and cardiometabolic risk factors (obesity, diabetes, hypertension, and hyperlipidemia). <0.01 was used for significance. We validated most of the previously reported associations between mtDNA CN and cardiovascular disease outcomes. For example, 1-SD unit lower level of mtDNA CN was associated with 1.08 (95\% CI, 1.04-1.12; <0.001) times the hazard for developing incident CHD, adjusting for covariates. Mendelian randomization analyses showed no causal effect from a lower level of mtDNA CN to a higher CHD risk (β=0.091; =0.11) or in the reverse direction (β=-0.012; =0.076). Additional bidirectional Mendelian randomization analyses revealed that low-density lipoprotein cholesterol had a causal effect on mtDNA CN (β=-0.084; <0.001), but the reverse direction was not significant (=0.059). No causal associations were observed between mtDNA CN and obesity, diabetes, and hypertension, in either direction. Multivariable Mendelian randomization analyses showed no causal effect of CHD on mtDNA CN, controlling for low-density lipoprotein cholesterol level (=0.52), whereas there was a strong direct causal effect of higher low-density lipoprotein cholesterol on lower mtDNA CN, adjusting for CHD status (β=-0.092; <0.001). Conclusions Our findings indicate that high low-density lipoprotein cholesterol may underlie the complex relationships between mtDNA CN and vascular atherosclerosis.

}, issn = {2047-9980}, doi = {10.1161/JAHA.122.029090}, author = {Liu, Xue and Sun, Xianbang and Zhang, Yuankai and Jiang, Wenqing and Lai, Meng and Wiggins, Kerri L and Raffield, Laura M and Bielak, Lawrence F and Zhao, Wei and Pitsillides, Achilleas and Haessler, Jeffrey and Zheng, Yinan and Blackwell, Thomas W and Yao, Jie and Guo, Xiuqing and Qian, Yong and Thyagarajan, Bharat and Pankratz, Nathan and Rich, Stephen S and Taylor, Kent D and Peyser, Patricia A and Heckbert, Susan R and Seshadri, Sudha and Boerwinkle, Eric and Grove, Megan L and Larson, Nicholas B and Smith, Jennifer A and Vasan, Ramachandran S and Fitzpatrick, Annette L and Fornage, Myriam and Ding, Jun and Carson, April P and Abecasis, Goncalo and Dupuis, Jos{\'e}e and Reiner, Alexander and Kooperberg, Charles and Hou, Lifang and Psaty, Bruce M and Wilson, James G and Levy, Daniel and Rotter, Jerome I and Bis, Joshua C and Satizabal, Claudia L and Arking, Dan E and Liu, Chunyu} } @article {9322, title = {Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease.}, journal = {Nat Commun}, volume = {14}, year = {2023}, month = {2023 Mar 14}, pages = {1411}, abstract = {

The 3-dimensional spatial and 2-dimensional frontal QRS-T angles are measures derived from the vectorcardiogram. They are independent risk predictors for arrhythmia, but the underlying biology is unknown. Using multi-ancestry genome-wide association studies we identify 61 (58 previously unreported) loci for the spatial QRS-T angle (N = 118,780) and 11 for the frontal QRS-T angle (N = 159,715). Seven out of the 61 spatial QRS-T angle loci have not been reported for other electrocardiographic measures. Enrichments are observed in pathways related to cardiac and vascular development, muscle contraction, and hypertrophy. Pairwise genome-wide association studies with classical ECG traits identify shared genetic influences with PR interval and QRS duration.~Phenome-wide scanning indicate associations with atrial fibrillation, atrioventricular block and arterial embolism~and~genetically determined QRS-T angle measures are associated with fascicular and bundle branch block (and also atrioventricular block for the frontal QRS-T angle). We identify potential biology involved in the QRS-T angle~and~their genetic relationships with cardiovascular traits and diseases, may inform future research and risk prediction.

}, keywords = {Arrhythmias, Cardiac, Atrioventricular Block, Biomarkers, Cardiovascular Diseases, Electrocardiography, Genome-Wide Association Study, Humans, Risk Factors}, issn = {2041-1723}, doi = {10.1038/s41467-023-36997-w}, author = {Young, William J and Haessler, Jeffrey and Benjamins, Jan-Walter and Repetto, Linda and Yao, Jie and Isaacs, Aaron and Harper, Andrew R and Ramirez, Julia and Garnier, Sophie and Van Duijvenboden, Stefan and Baldassari, Antoine R and Concas, Maria Pina and Duong, ThuyVy and Foco, Luisa and Isaksen, Jonas L and Mei, Hao and Noordam, Raymond and Nursyifa, Casia and Richmond, Anne and Santolalla, Meddly L and Sitlani, Colleen M and Soroush, Negin and Th{\'e}riault, S{\'e}bastien and Trompet, Stella and Aeschbacher, Stefanie and Ahmadizar, Fariba and Alonso, Alvaro and Brody, Jennifer A and Campbell, Archie and Correa, Adolfo and Darbar, Dawood and De Luca, Antonio and Deleuze, Jean-Francois and Ellervik, Christina and Fuchsberger, Christian and Goel, Anuj and Grace, Christopher and Guo, Xiuqing and Hansen, Torben and Heckbert, Susan R and Jackson, Rebecca D and Kors, Jan A and Lima-Costa, Maria Fernanda and Linneberg, Allan and Macfarlane, Peter W and Morrison, Alanna C and Navarro, Pau and Porteous, David J and Pramstaller, Peter P and Reiner, Alexander P and Risch, Lorenz and Schotten, Ulrich and Shen, Xia and Sinagra, Gianfranco and Soliman, Elsayed Z and Stoll, Monika and Tarazona-Santos, Eduardo and Tinker, Andrew and Trajanoska, Katerina and Villard, Eric and Warren, Helen R and Whitsel, Eric A and Wiggins, Kerri L and Arking, Dan E and Avery, Christy L and Conen, David and Girotto, Giorgia and Grarup, Niels and Hayward, Caroline and Jukema, J Wouter and Mook-Kanamori, Dennis O and Olesen, Morten Salling and Padmanabhan, Sandosh and Psaty, Bruce M and Pattaro, Cristian and Ribeiro, Antonio Luiz P and Rotter, Jerome I and Stricker, Bruno H and van der Harst, Pim and van Duijn, Cornelia M and Verweij, Niek and Wilson, James G and Orini, Michele and Charron, Philippe and Watkins, Hugh and Kooperberg, Charles and Lin, Henry J and Wilson, James F and Kanters, J{\o}rgen K and Sotoodehnia, Nona and Mifsud, Borbala and Lambiase, Pier D and Tereshchenko, Larisa G and Munroe, Patricia B} } @article {9239, title = {Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies.}, journal = {Nat Genet}, volume = {55}, year = {2023}, month = {2023 Jan}, pages = {154-164}, abstract = {

Meta-analysis of whole genome sequencing/whole exome sequencing (WGS/WES) studies provides an attractive solution to the problem of collecting large sample sizes for discovering rare variants associated with complex phenotypes. Existing rare variant meta-analysis approaches are not scalable to biobank-scale WGS data. Here we present MetaSTAAR, a powerful and resource-efficient rare variant meta-analysis framework for large-scale WGS/WES studies. MetaSTAAR accounts for relatedness and population structure, can analyze both quantitative and dichotomous traits and boosts the power of rare variant tests by incorporating multiple variant functional annotations. Through meta-analysis of four lipid traits in 30,138 ancestrally diverse samples from 14 studies of the Trans Omics for Precision Medicine (TOPMed) Program, we show that MetaSTAAR performs rare variant meta-analysis at scale and produces results comparable to using pooled data. Additionally, we identified several conditionally significant rare variant associations with lipid traits. We further demonstrate that MetaSTAAR is scalable to biobank-scale cohorts through meta-analysis of TOPMed WGS data and UK Biobank WES data of ~200,000 samples.

}, keywords = {Exome Sequencing, Genome-Wide Association Study, Lipids, Phenotype, Whole Genome Sequencing}, issn = {1546-1718}, doi = {10.1038/s41588-022-01225-6}, author = {Li, Xihao and Quick, Corbin and Zhou, Hufeng and Gaynor, Sheila M and Liu, Yaowu and Chen, Han and Selvaraj, Margaret Sunitha and Sun, Ryan and Dey, Rounak and Arnett, Donna K and Bielak, Lawrence F and Bis, Joshua C and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Brody, Jennifer A and Cade, Brian E and Correa, Adolfo and Cupples, L Adrienne and Curran, Joanne E and de Vries, Paul S and Duggirala, Ravindranath and Freedman, Barry I and G{\"o}ring, Harald H H and Guo, Xiuqing and Haessler, Jeffrey and Kalyani, Rita R and Kooperberg, Charles and Kral, Brian G and Lange, Leslie A and Manichaikul, Ani and Martin, Lisa W and McGarvey, Stephen T and Mitchell, Braxton D and Montasser, May E and Morrison, Alanna C and Naseri, Take and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Peyser, Patricia A and Psaty, Bruce M and Raffield, Laura M and Redline, Susan and Reiner, Alexander P and Reupena, Muagututi{\textquoteright}a Sefuiva and Rice, Kenneth M and Rich, Stephen S and Sitlani, Colleen M and Smith, Jennifer A and Taylor, Kent D and Vasan, Ramachandran S and Willer, Cristen J and Wilson, James G and Yanek, Lisa R and Zhao, Wei and Rotter, Jerome I and Natarajan, Pradeep and Peloso, Gina M and Li, Zilin and Lin, Xihong} } @article {9450, title = {Time-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People with Type 2 Diabetes Mellitus.}, journal = {medRxiv}, year = {2023}, month = {2023 Jul 28}, abstract = {

BACKGROUND: Type 2 diabetes mellitus (T2D) confers a two- to three-fold increased risk of cardiovascular disease (CVD). However, the mechanisms underlying increased CVD risk among people with T2D are only partially understood. We hypothesized that a genetic association study among people with T2D at risk for developing incident cardiovascular complications could provide insights into molecular genetic aspects underlying CVD.

METHODS: From 16 studies of the Cohorts for Heart \& Aging Research in Genomic Epidemiology (CHARGE) Consortium, we conducted a multi-ancestry time-to-event genome-wide association study (GWAS) for incident CVD among people with T2D using Cox proportional hazards models. Incident CVD was defined based on a composite of coronary artery disease (CAD), stroke, and cardiovascular death that occurred at least one year after the diagnosis of T2D. Cohort-level estimated effect sizes were combined using inverse variance weighted fixed effects meta-analysis. We also tested 204 known CAD variants for association with incident CVD among patients with T2D.

RESULTS: A total of 49,230 participants with T2D were included in the analyses (31,118 European ancestries and 18,112 non-European ancestries) which consisted of 8,956 incident CVD cases over a range of mean follow-up duration between 3.2 and 33.7 years (event rate 18.2\%). We identified three novel, distinct genetic loci for incident CVD among individuals with T2D that reached the threshold for genome-wide significance ( <5.0{\texttimes}10 ): rs147138607 (intergenic variant between and ) with a hazard ratio (HR) 1.23, 95\% confidence interval (CI) 1.15 - 1.32, =3.6{\texttimes}10 , rs11444867 (intergenic variant near ) with HR 1.89, 95\% CI 1.52 - 2.35, =9.9{\texttimes}10 , and rs335407 (intergenic variant between and ) HR 1.25, 95\% CI 1.16 - 1.35, =1.5{\texttimes}10 . Among 204 known CAD loci, 32 were associated with incident CVD in people with T2D with <0.05, and 5 were significant after Bonferroni correction ( <0.00024, 0.05/204). A polygenic score of these 204 variants was significantly associated with incident CVD with HR 1.14 (95\% CI 1.12 - 1.16) per 1 standard deviation increase ( =1.0{\texttimes}10 ).

CONCLUSIONS: The data point to novel and known genomic regions associated with incident CVD among individuals with T2D.

CLINICAL PERSPECTIVE: We conducted a large-scale multi-ancestry time-to-event GWAS to identify genetic variants associated with CVD among people with T2D. Three variants were significantly associated with incident CVD in people with T2D: rs147138607 (intergenic variant between and ), rs11444867 (intergenic variant near ), and rs335407 (intergenic variant between and ). A polygenic score composed of known CAD variants identified in the general population was significantly associated with the risk of CVD in people with T2D. There are genetic risk factors specific to T2D that could at least partially explain the excess risk of CVD in people with T2D.In addition, we show that people with T2D have enrichment of known CAD association signals which could also explain the excess risk of CVD.

}, doi = {10.1101/2023.07.25.23293180}, author = {Kwak, Soo Heon and Hernandez-Cancela, Ryan B and DiCorpo, Daniel A and Condon, David E and Merino, Jordi and Wu, Peitao and Brody, Jennifer A and Yao, Jie and Guo, Xiuqing and Ahmadizar, Fariba and Meyer, Mariah and Sincan, Murat and Mercader, Josep M and Lee, Sujin and Haessler, Jeffrey and Vy, Ha My T and Lin, Zhaotong and Armstrong, Nicole D and Gu, Shaopeng and Tsao, Noah L and Lange, Leslie A and Wang, Ningyuan and Wiggins, Kerri L and Trompet, Stella and Liu, Simin and Loos, Ruth J F and Judy, Renae and Schroeder, Philip H and Hasbani, Natalie R and Bos, Maxime M and Morrison, Alanna C and Jackson, Rebecca D and Reiner, Alexander P and Manson, JoAnn E and Chaudhary, Ninad S and Carmichael, Lynn K and Chen, Yii-Der Ida and Taylor, Kent D and Ghanbari, Mohsen and van Meurs, Joyce and Pitsillides, Achilleas N and Psaty, Bruce M and Noordam, Raymond and Do, Ron and Park, Kyong Soo and Jukema, J Wouter and Kavousi, Maryam and Correa, Adolfo and Rich, Stephen S and Damrauer, Scott M and Hajek, Catherine and Cho, Nam H and Irvin, Marguerite R and Pankow, James S and Nadkarni, Girish N and Sladek, Robert and Goodarzi, Mark O and Florez, Jose C and Chasman, Daniel I and Heckbert, Susan R and Kooperberg, Charles and Dupuis, Jos{\'e}e and Malhotra, Rajeev and de Vries, Paul S and Liu, Ching-Ti and Rotter, Jerome I and Meigs, James B} } @article {9544, title = {A Type 1 Diabetes Polygenic Score Is Not Associated With Prevalent Type 2 Diabetes in Large Population Studies.}, journal = {J Endocr Soc}, volume = {7}, year = {2023}, month = {2023 Oct 09}, pages = {bvad123}, abstract = {

CONTEXT: Both type 1 diabetes (T1D) and type 2 diabetes (T2D) have significant genetic contributions to risk and understanding their overlap can offer clinical insight.

OBJECTIVE: We examined whether a T1D polygenic score (PS) was associated with a diagnosis of T2D in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.

METHODS: We constructed a T1D PS using 79 known single nucleotide polymorphisms associated with T1D risk. We analyzed 13 792 T2D cases and 14 169 controls from CHARGE cohorts to determine the association between the T1D PS and T2D prevalence. We validated findings in an independent sample of 2256 T2D cases and 27 052 controls from the Mass General Brigham Biobank (MGB Biobank). As secondary analyses in 5228 T2D cases from CHARGE, we used multivariable regression models to assess the association of the T1D PS with clinical outcomes associated with T1D.

RESULTS: The T1D PS was not associated with T2D both in CHARGE ( = .15) and in the MGB Biobank ( = .87). The partitioned human leukocyte antigens only PS was associated with T2D in CHARGE (OR 1.02 per 1 SD increase in PS, 95\% CI 1.01-1.03, = .006) but not in the MGB Biobank. The T1D PS was weakly associated with insulin use (OR 1.007, 95\% CI 1.001-1.012, = .03) in CHARGE T2D cases but not with other outcomes.

CONCLUSION: In large biobank samples, a common variant PS for T1D was not consistently associated with prevalent T2D. However, possible heterogeneity in T2D cannot be ruled out and future studies are needed do subphenotyping.

}, issn = {2472-1972}, doi = {10.1210/jendso/bvad123}, author = {Srinivasan, Shylaja and Wu, Peitao and Mercader, Josep M and Udler, Miriam S and Porneala, Bianca C and Bartz, Traci M and Floyd, James S and Sitlani, Colleen and Guo, Xiquing and Haessler, Jeffrey and Kooperberg, Charles and Liu, Jun and Ahmad, Shahzad and van Duijn, Cornelia and Liu, Ching-Ti and Goodarzi, Mark O and Florez, Jose C and Meigs, James B and Rotter, Jerome I and Rich, Stephen S and Dupuis, Jos{\'e}e and Leong, Aaron} }