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Klarin, Derek

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Klarin

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Derek

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Klarin, Derek
Author's Publications: search.filters.isAuthorOfPublication.eed040f7-c3d1-419b-bc0b-3b66cc433f24

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    Genetic Analysis in UK Biobank Links Insulin Resistance and Transendothelial Migration Pathways to Coronary Artery Disease
    (2017) Klarin, Derek; Zhu, Qiuyu; Emdin, Connor; Chaffin, Mark; Horner, Steven; McMillan, Brian J.; Leed, Alison; Weale, Michael E.; Spencer, Chris C. A.; Aguet, François; Segrè, Ayellet V.; Ardlie, Kristin G.; Khera, Amit; Kaushik, Virendar K.; Natarajan, Pradeep; Consortium, CARDIoGRAMplusC4D; Kathiresan, Sekar
    UK Biobank is among the world’s largest repositories for phenotypic and genotypic information in individuals of European ancestry1. We performed a genome-wide association study in UK Biobank testing ~9 million DNA sequence variants for association with coronary artery disease (4,831 cases; 115,455 controls) and carried out meta-analysis with previously published results. We identified fifteen novel loci, bringing the total number of coronary artery disease-associated loci to 95. Phenome-wide association scanning revealed that CCDC92 likely affects coronary artery disease through insulin resistance pathways whereas experimental analysis suggests that ARHGEF26 impacts the transendothelial migration of leukocytes.
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    Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease
    (Nature Publishing Group UK, 2018) Emdin, Connor; Khera, Amit; Chaffin, Mark; Klarin, Derek; Natarajan, Pradeep; Aragam, Krishna; Haas, Mary; Bick, Alexander; Zekavat, Seyedeh M.; Nomura, Akihiro; Ardissino, Diego; Wilson, James G.; Schunkert, Heribert; McPherson, Ruth; Watkins, Hugh; Elosua, Roberto; Bown, Matthew J.; Samani, Nilesh J.; Baber, Usman; Erdmann, Jeanette; Gupta, Namrata; Danesh, John; Chasman, Daniel; Ridker, Paul; Denny, Joshua; Bastarache, Lisa; Lichtman, Judith H.; D’Onofrio, Gail; Mattera, Jennifer; Spertus, John A.; Sheu, Wayne H.-H.; Taylor, Kent D.; Psaty, Bruce M.; Rich, Stephen S.; Post, Wendy; Rotter, Jerome I.; Chen, Yii-Der Ida; Krumholz, Harlan; Saleheen, Danish; Gabriel, Stacey; Kathiresan, Sekar
    Less than 3% of protein-coding genetic variants are predicted to result in loss of protein function through the introduction of a stop codon, frameshift, or the disruption of an essential splice site; however, such predicted loss-of-function (pLOF) variants provide insight into effector transcript and direction of biological effect. In >400,000 UK Biobank participants, we conduct association analyses of 3759 pLOF variants with six metabolic traits, six cardiometabolic diseases, and twelve additional diseases. We identified 18 new low-frequency or rare (allele frequency < 5%) pLOF variant-phenotype associations. pLOF variants in the gene GPR151 protect against obesity and type 2 diabetes, in the gene IL33 against asthma and allergic disease, and in the gene IFIH1 against hypothyroidism. In the gene PDE3B, pLOF variants associate with elevated height, improved body fat distribution and protection from coronary artery disease. Our findings prioritize genes for which pharmacologic mimics of pLOF variants may lower risk for disease.
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    Genetic Interactions with Age, Sex, Body Mass Index, and Hypertension in Relation to Atrial Fibrillation: The AFGen Consortium
    (Nature Publishing Group UK, 2017) Weng, Lu-Chen; Lunetta, Kathryn L.; Müller-Nurasyid, Martina; Smith, Albert Vernon; Thériault, Sébastien; Weeke, Peter E.; Barnard, John; Bis, Joshua C.; Lyytikäinen, Leo-Pekka; Kleber, Marcus E.; Martinsson, Andreas; Lin, Henry J.; Rienstra, Michiel; Trompet, Stella; Krijthe, Bouwe P.; Dörr, Marcus; Klarin, Derek; Chasman, Daniel; Sinner, Moritz F.; Waldenberger, Melanie; Launer, Lenore J.; Harris, Tamara B.; Soliman, Elsayed Z.; Alonso, Alvaro; Paré, Guillaume; Teixeira, Pedro L.; Denny, Joshua C.; Shoemaker, M. Benjamin; Van Wagoner, David R.; Smith, Jonathan D.; Psaty, Bruce M.; Sotoodehnia, Nona; Taylor, Kent D.; Kähönen, Mika; Nikus, Kjell; Delgado, Graciela E.; Melander, Olle; Engström, Gunnar; Yao, Jie; Guo, Xiuqing; Christophersen, Ingrid E.; Ellinor, Patrick; Geelhoed, Bastiaan; Verweij, Niek; Macfarlane, Peter; Ford, Ian; Heeringa, Jan; Franco, Oscar H.; Uitterlinden, André G.; Völker, Uwe; Teumer, Alexander; Rose, Lynda M.; Kääb, Stefan; Gudnason, Vilmundur; Arking, Dan E.; Conen, David; Roden, Dan M.; Chung, Mina K.; Heckbert, Susan R.; Benjamin, Emelia J.; Lehtimäki, Terho; März, Winfried; Smith, J. Gustav; Rotter, Jerome I.; van der Harst, Pim; Jukema, J. Wouter; Stricker, Bruno H.; Felix, Stephan B.; Albert, Christine; Lubitz, Steven
    It is unclear whether genetic markers interact with risk factors to influence atrial fibrillation (AF) risk. We performed genome-wide interaction analyses between genetic variants and age, sex, hypertension, and body mass index in the AFGen Consortium. Study-specific results were combined using meta-analysis (88,383 individuals of European descent, including 7,292 with AF). Variants with nominal interaction associations in the discovery analysis were tested for association in four independent studies (131,441 individuals, including 5,722 with AF). In the discovery analysis, the AF risk associated with the minor rs6817105 allele (at the PITX2 locus) was greater among subjects ≤ 65 years of age than among those > 65 years (interaction p-value = 4.0 × 10−5). The interaction p-value exceeded genome-wide significance in combined discovery and replication analyses (interaction p-value = 1.7 × 10−8). We observed one genome-wide significant interaction with body mass index and several suggestive interactions with age, sex, and body mass index in the discovery analysis. However, none was replicated in the independent sample. Our findings suggest that the pathogenesis of AF may differ according to age in individuals of European descent, but we did not observe evidence of statistically significant genetic interactions with sex, body mass index, or hypertension on AF risk.
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    Gene-gene Interaction Analyses for Atrial Fibrillation
    (Nature Publishing Group, 2016) Lin, Honghuang; Mueller-Nurasyid, Martina; Smith, Albert V.; Arking, Dan E.; Barnard, John; Bartz, Traci M.; Lunetta, Kathryn L.; Lohman, Kurt; Kleber, Marcus E.; Lubitz, Steven; Geelhoed, Bastiaan; Trompet, Stella; Niemeijer, Maartje N.; Kacprowski, Tim; Chasman, Daniel; Klarin, Derek; Sinner, Moritz F.; Waldenberger, Melanie; Meitinger, Thomas; Harris, Tamara B.; Launer, Lenore J.; Soliman, Elsayed Z.; Chen, Lin Y.; Smith, Jonathan D.; Van Wagoner, David R.; Rotter, Jerome I.; Psaty, Bruce M.; Xie, Zhijun; Hendricks, Audrey E.; Ding, Jingzhong; Delgado, Graciela E.; Verweij, Niek; van der Harst, Pim; Macfarlane, Peter W.; Ford, Ian; Hofman, Albert; Uitterlinden, André; Heeringa, Jan; Franco, Oscar H.; Kors, Jan A.; Weiss, Stefan; Völzke, Henry; Rose, Lynda M.; Natarajan, Pradeep; Kathiresan, Sekar; Kääb, Stefan; Gudnason, Vilmundur; Alonso, Alvaro; Chung, Mina K.; Heckbert, Susan R.; Benjamin, Emelia J.; Liu, Yongmei; März, Winfried; Rienstra, Michiel; Jukema, J. Wouter; Stricker, Bruno H.; Dörr, Marcus; Albert, Christine; Ellinor, Patrick
    Atrial fibrillation (AF) is a heritable disease that affects more than thirty million individuals worldwide. Extensive efforts have been devoted to the study of genetic determinants of AF. The objective of our study is to examine the effect of gene-gene interaction on AF susceptibility. We performed a large-scale association analysis of gene-gene interactions with AF in 8,173 AF cases, and 65,237 AF-free referents collected from 15 studies for discovery. We examined putative interactions between genome-wide SNPs and 17 known AF-related SNPs. The top interactions were then tested for association in an independent cohort for replication, which included more than 2,363 AF cases and 114,746 AF-free referents. One interaction, between rs7164883 at the HCN4 locus and rs4980345 at the SLC28A1 locus, was found to be significantly associated with AF in the discovery cohorts (interaction OR = 1.44, 95% CI: 1.27–1.65, P = 4.3 × 10–8). Eight additional gene-gene interactions were also marginally significant (P < 5 × 10–7). However, none of the top interactions were replicated. In summary, we did not find significant interactions that were associated with AF susceptibility. Future increases in sample size and denser genotyping might facilitate the identification of gene-gene interactions associated with AF.
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    Exome-wide association study of plasma lipids in >300,000 individuals
    (2017) Liu, Dajiang J.; Peloso, Gina M.; Yu, Haojie; Butterworth, Adam S.; Wang, Xiao; Mahajan, Anubha; Saleheen, Danish; Emdin, Connor; Alam, Dewan; Alves, Alexessander Couto; Amouyel, Philippe; di Angelantonio, Emanuele; Arveiler, Dominique; Assimes, Themistocles L.; Auer, Paul L.; Baber, Usman; Ballantyne, Christie M.; Bang, Lia E.; Benn, Marianne; Bis, Joshua C.; Boehnke, Michael; Boerwinkle, Eric; Bork-Jensen, Jette; Bottinger, Erwin P.; Brandslund, Ivan; Brown, Morris; Busonero, Fabio; Caulfield, Mark J; Chambers, John C; Chasman, Daniel; Chen, Y. Eugene; Chen, Yii-Der Ida; Chowdhury, Rajiv; Christensen, Cramer; Chu, Audrey Y.; Connell, John M; Cucca, Francesco; Cupples, L. Adrienne; Damrauer, Scott M.; Davies, Gail; Deary, Ian J; Dedoussis, George; Denny, Joshua C.; Dominiczak, Anna; Dubé, Marie-Pierre; Ebeling, Tapani; Eiriksdottir, Gudny; Esko, Tõnu; Farmaki, Aliki-Eleni; Feitosa, Mary F; Ferrario, Marco; Ferrieres, Jean; Ford, Ian; Fornage, Myriam; Franks, Paul; Frayling, Timothy M.; Frikke-Schmidt, Ruth; Fritsche, Lars; Frossard, Philippe; Fuster, Valentin; Ganesh, Santhi K.; Gao, Wei; Garcia, Melissa E.; Gieger, Christian; Giulianini, Franco; Goodarzi, Mark O.; Grallert, Harald; Grarup, Niels; Groop, Leif; Grove, Megan L.; Gudnason, Vilmundur; Hansen, Torben; Harris, Tamara B.; Hayward, Caroline; Hirschhorn, Joel N.; Holmen, Oddgeir L.; Huffman, Jennifer; Huo, Yong; Hveem, Kristian; Jabeen, Sehrish; Jackson, Anne U; Jakobsdottir, Johanna; Jarvelin, Marjo-Riitta; Jensen, Gorm B; Jørgensen, Marit E.; Jukema, J. Wouter; Justesen, Johanne M.; Kamstrup, Pia R.; Kanoni, Stavroula; Karpe, Fredrik; Kee, Frank; Khera, Amit; Klarin, Derek; Koistinen, Heikki A.; Kooner, Jaspal S; Kooperberg, Charles; Kuulasmaa, Kari; Kuusisto, Johanna; Laakso, Markku; Lakka, Timo; Langenberg, Claudia; Langsted, Anne; Launer, Lenore J.; Lauritzen, Torsten; Liewald, David CM; Lin, Li An; Linneberg, Allan; Loos, Ruth J.F.; Lu, Yingchang; Lu, Xiangfeng; Mägi, Reedik; Malarstig, Anders; Manichaikul, Ani; Manning, Alisa; Mäntyselkä, Pekka; Marouli, Eirini; Masca, Nicholas GD; Maschio, Andrea; Meigs, James; Melander, Olle; Metspalu, Andres; Morris, Andrew P; Morrison, Alanna C.; Mulas, Antonella; Müller-Nurasyid, Martina; Munroe, Patricia B.; Neville, Matt J; Nielsen, Jonas B.; Nielsen, Sune F; Nordestgaard, Børge G; Ordovas, Jose M.; Mehran, Roxana; O’Donnell, Christoper J.; Orho-Melander, Marju; Molony, Cliona M.; Muntendam, Pieter; Padmanabhan, Sandosh; Palmer, Colin NA; Pasko, Dorota; Patel, Aniruddh; Pedersen, Oluf; Perola, Markus; Peters, Annette; Pisinger, Charlotta; Pistis, Giorgio; Polasek, Ozren; Poulter, Neil; Psaty, Bruce M.; Rader, Daniel J.; Rasheed, Asif; Rauramaa, Rainer; Reilly, Dermot; Reiner, Alex P.; Renström, Frida; Rich, Stephen S; Ridker, Paul M; Rioux, John D.; Robertson, Neil R; Roden, Dan M.; Rotter, Jerome I.; Rudan, Igor; Salomaa, Veikko; Samani, Nilesh J; Sanna, Serena; Sattar, Naveed; Schmidt, Ellen M.; Scott, Robert A.; Sever, Peter; Sevilla, Raquel S.; Shaffer, Christian M.; Sim, Xueling; Sivapalaratnam, Suthesh; Small, Kerrin S; Smith, Albert V.; Smith, Blair H; Somayajula, Sangeetha; Southam, Lorraine; Spector, Timothy D; Speliotes, Elizabeth K.; Starr, John M; Stirrups, Kathleen E; Stitziel, Nathan; Strauch, Konstantin; Stringham, Heather M; Surendran, Praveen; Tada, Hayato; Tall, Alan R.; Tang, Hua; Tardif, Jean-Claude; Taylor, Kent D; Trompet, Stella; Tsao, Philip S.; Tuomilehto, Jaakko; Tybjaerg-Hansen, Anne; van Zuydam, Natalie R; Varbo, Anette; Varga, Tibor V; Virtamo, Jarmo; Waldenberger, Melanie; Wang, Nan; Wareham, Nick J.; Warren, Helen R; Weeke, Peter E.; Weinstock, Joshua; Wessel, Jennifer; Wilson, James G.; Wilson, Peter W. F.; Xu, Ming; Yaghootkar, Hanieh; Young, Robin; Zeggini, Eleftheria; Zhang, He; Zheng, Neil S.; Zhang, Weihua; Zhang, Yan; Zhou, Wei; Zhou, Yanhua; Zoledziewska, Magdalena; Howson, Joanna MM; Danesh, John; McCarthy, Mark I; Cowan, Chad; Abecasis, Goncalo; Deloukas, Panos; Musunuru, Kiran; Willer, Cristen J.; Kathiresan, Sekar
    We screened DNA sequence variants on an exome-focused genotyping array in >300,000 participants with replication in >280,000 participants and identified 444 independent variants in 250 loci significantly associated with total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and/or triglycerides (TG). At two loci (JAK2 and A1CF), experimental analysis in mice revealed lipid changes consistent with the human data. We utilized mapped variants to address four clinically relevant questions and found the following: (1) beta-thalassemia trait carriers displayed lower TC and were protected from coronary artery disease; (2) outside of the CETP locus, there was not a predictable relationship between plasma HDL-C and risk for age-related macular degeneration; (3) only some mechanisms of lowering LDL-C seemed to increase risk for type 2 diabetes; and (4) TG-lowering alleles involved in hepatic production of TG-rich lipoproteins (e.g., TM6SF2, PNPLA3) tracked with higher liver fat, higher risk for type 2 diabetes, and lower risk for coronary artery disease whereas TG-lowering alleles involved in peripheral lipolysis (e.g., LPL, ANGPTL4) had no effect on liver fat but lowered risks for both type 2 diabetes and coronary artery disease.