@article {6561, title = {Variation in resting heart rate over 4 years and the risks of myocardial infarction and death among older adults.}, journal = {Heart}, volume = {101}, year = {2015}, month = {2015 Jan}, pages = {132-8}, abstract = {

OBJECTIVE: Resting heart rate (RHR) is an established predictor of myocardial infarction (MI) and mortality, but the relationship between variation in RHR over a period of several years and health outcomes is unclear. We evaluated the relationship between long-term variation in RHR and the risks of incident MI and mortality among older adults.

METHODS: 1991 subjects without cardiovascular disease from the Cardiovascular Health Study were included. RHR was taken from resting ECGs at the first five annual study visits. RHR mean, trend and variation were estimated with linear regression. Subjects were followed for incident MI and death until December 2010. HRs for RHR mean, trend and variation are reported for differences of 10 bpm, 2 bpm/year and 2 bpm, respectively.

RESULTS: 262 subjects had an incident MI event (13\%) and 1326 died (67\%) during 12 years of median follow-up. In primary analyses adjusted for cardiovascular risk factors, RHR mean (HR 1.12; 95\% CI 1.05 to 1.20) and variation (HR 1.08; 95\% CI 1.03 to 1.13) were associated with the risk of death while trend was not. None of the RHR variables were significantly associated with the risk of incident MI events; however, CIs were wide and the MI associations with RHR variables were not significantly different from the mortality associations. Adjusting for additional variables did not affect estimates, and there were no significant interactions with sex.

CONCLUSIONS: Variation in RHR over a period of several years represents a potential predictor of long-term mortality among older persons free of cardiovascular disease.

}, keywords = {Aged, Aged, 80 and over, Cause of Death, Electrocardiography, Female, Follow-Up Studies, Heart Rate, Humans, Incidence, Linear Models, Male, Myocardial Infarction, Outcome Assessment (Health Care), Prognosis, Proportional Hazards Models, Prospective Studies, Rest, Risk Factors, Time, Washington}, issn = {1468-201X}, doi = {10.1136/heartjnl-2014-306046}, author = {Floyd, James S and Sitlani, Colleen M and Wiggins, Kerri L and Wallace, Erin and Suchy-Dicey, Astrid and Abbasi, Siddique A and Carnethon, Mercedes R and Siscovick, David S and Sotoodehnia, Nona and Heckbert, Susan R and McKnight, Barbara and Rice, Kenneth M and Psaty, Bruce M} } @article {7138, title = {Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits.}, journal = {Am J Hum Genet}, volume = {99}, year = {2016}, month = {2016 Jul 7}, pages = {8-21}, abstract = {

Red blood cell (RBC) traits are important heritable clinical biomarkers and modifiers of disease severity. To identify coding genetic variants associated with these traits, we conducted meta-analyses of seven RBC phenotypes in 130,273 multi-ethnic individuals from~studies genotyped on an exome array. After conditional analyses and replication in 27,480 independent individuals, we identified 16 new RBC variants. We found low-frequency missense variants in MAP1A (rs55707100, minor allele frequency [MAF] = 3.3\%, p = 2~{\texttimes}~10(-10) for hemoglobin [HGB]) and HNF4A (rs1800961, MAF = 2.4\%, p < 3~{\texttimes} 10(-8) for hematocrit [HCT] and HGB). In African Americans, we identified a nonsense variant in CD36 associated with higher RBC distribution width (rs3211938, MAF = 8.7\%, p = 7~{\texttimes} 10(-11)) and showed that it is associated with lower CD36 expression and strong allelic imbalance in ex~vivo differentiated human erythroblasts. We also identified a rare missense variant in ALAS2 (rs201062903, MAF = 0.2\%) associated with lower mean corpuscular volume and mean corpuscular hemoglobin (p < 8~{\texttimes} 10(-9)). Mendelian mutations in ALAS2 are a cause of sideroblastic anemia and erythropoietic protoporphyria. Gene-based testing highlighted three rare missense variants in PKLR, a gene mutated in Mendelian non-spherocytic hemolytic anemia, associated with HGB and HCT (SKAT p < 8~{\texttimes} 10(-7)). These rare, low-frequency, and common RBC variants showed pleiotropy, being also associated with platelet, white blood cell, and lipid traits. Our association results and functional annotation suggest the involvement of new genes in human erythropoiesis. We also confirm that rare and low-frequency variants play a role in the architecture of complex human traits, although their phenotypic effect is generally smaller than originally anticipated.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.05.007}, author = {Chami, Nathalie and Chen, Ming-Huei and Slater, Andrew J and Eicher, John D and Evangelou, Evangelos and Tajuddin, Salman M and Love-Gregory, Latisha and Kacprowski, Tim and Schick, Ursula M and Nomura, Akihiro and Giri, Ayush and Lessard, Samuel and Brody, Jennifer A and Schurmann, Claudia and Pankratz, Nathan and Yanek, Lisa R and Manichaikul, Ani and Pazoki, Raha and Mihailov, Evelin and Hill, W David and Raffield, Laura M and Burt, Amber and Bartz, Traci M and Becker, Diane M and Becker, Lewis C and Boerwinkle, Eric and Bork-Jensen, Jette and Bottinger, Erwin P and O{\textquoteright}Donoghue, Michelle L and Crosslin, David R and de Denus, Simon and Dub{\'e}, Marie-Pierre and Elliott, Paul and Engstr{\"o}m, Gunnar and Evans, Michele K and Floyd, James S and Fornage, Myriam and Gao, He and Greinacher, Andreas and Gudnason, Vilmundur and Hansen, Torben and Harris, Tamara B and Hayward, Caroline and Hernesniemi, Jussi and Highland, Heather M and Hirschhorn, Joel N and Hofman, Albert and Irvin, Marguerite R and K{\"a}h{\"o}nen, Mika and Lange, Ethan and Launer, Lenore J and Lehtim{\"a}ki, Terho and Li, Jin and Liewald, David C M and Linneberg, Allan and Liu, Yongmei and Lu, Yingchang and Lyytik{\"a}inen, Leo-Pekka and M{\"a}gi, Reedik and Mathias, Rasika A and Melander, Olle and Metspalu, Andres and Mononen, Nina and Nalls, Mike A and Nickerson, Deborah A and Nikus, Kjell and O{\textquoteright}Donnell, Chris J and Orho-Melander, Marju and Pedersen, Oluf and Petersmann, Astrid and Polfus, Linda and Psaty, Bruce M and Raitakari, Olli T and Raitoharju, Emma and Richard, Melissa and Rice, Kenneth M and Rivadeneira, Fernando and Rotter, Jerome I and Schmidt, Frank and Smith, Albert Vernon and Starr, John M and Taylor, Kent D and Teumer, Alexander and Thuesen, Betina H and Torstenson, Eric S and Tracy, Russell P and Tzoulaki, Ioanna and Zakai, Neil A and Vacchi-Suzzi, Caterina and van Duijn, Cornelia M and van Rooij, Frank J A and Cushman, Mary and Deary, Ian J and Velez Edwards, Digna R and Vergnaud, Anne-Claire and Wallentin, Lars and Waterworth, Dawn M and White, Harvey D and Wilson, James G and Zonderman, Alan B and Kathiresan, Sekar and Grarup, Niels and Esko, T{\~o}nu and Loos, Ruth J F and Lange, Leslie A and Faraday, Nauder and Abumrad, Nada A and Edwards, Todd L and Ganesh, Santhi K and Auer, Paul L and Johnson, Andrew D and Reiner, Alexander P and Lettre, Guillaume} } @article {7146, title = {Large-Scale Exome-wide Association Analysis Identifies Loci for White Blood Cell Traits and Pleiotropy with Immune-Mediated Diseases.}, journal = {Am J Hum Genet}, volume = {99}, year = {2016}, month = {2016 Jul 7}, pages = {22-39}, abstract = {

White blood cells play diverse roles in innate and adaptive immunity. Genetic association analyses of phenotypic variation in circulating white blood cell (WBC) counts from large samples of otherwise healthy individuals can provide insights into genes and biologic pathways involved in production, differentiation, or clearance of particular WBC lineages (myeloid, lymphoid) and also potentially inform the genetic basis of autoimmune, allergic, and blood diseases. We performed an exome array-based meta-analysis of total WBC and subtype counts (neutrophils, monocytes, lymphocytes, basophils, and eosinophils) in a multi-ancestry discovery and replication sample of~\~{}157,622 individuals from 25 studies. We identified 16 common variants (8 of which were coding variants) associated with one or more WBC traits, the majority of which are pleiotropically associated with autoimmune diseases. Based on functional annotation, these loci included genes encoding surface markers of myeloid, lymphoid, or hematopoietic stem cell differentiation (CD69, CD33, CD87), transcription factors regulating lineage specification during hematopoiesis (ASXL1, IRF8, IKZF1, JMJD1C, ETS2-PSMG1), and molecules involved in neutrophil clearance/apoptosis (C10orf54, LTA), adhesion (TNXB), or centrosome and microtubule structure/function (KIF9, TUBD1). Together with recent reports of somatic ASXL1 mutations among individuals with idiopathic cytopenias or clonal hematopoiesis of undetermined significance, the identification of a common regulatory 3{\textquoteright} UTR variant of ASXL1 suggests that both germline and somatic ASXL1 mutations contribute to lower blood counts in otherwise asymptomatic individuals. These association results shed light on genetic mechanisms that regulate circulating WBC counts and suggest a prominent shared genetic architecture with inflammatory and autoimmune diseases.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.05.003}, author = {Tajuddin, Salman M and Schick, Ursula M and Eicher, John D and Chami, Nathalie and Giri, Ayush and Brody, Jennifer A and Hill, W David and Kacprowski, Tim and Li, Jin and Lyytik{\"a}inen, Leo-Pekka and Manichaikul, Ani and Mihailov, Evelin and O{\textquoteright}Donoghue, Michelle L and Pankratz, Nathan and Pazoki, Raha and Polfus, Linda M and Smith, Albert Vernon and Schurmann, Claudia and Vacchi-Suzzi, Caterina and Waterworth, Dawn M and Evangelou, Evangelos and Yanek, Lisa R and Burt, Amber and Chen, Ming-Huei and van Rooij, Frank J A and Floyd, James S and Greinacher, Andreas and Harris, Tamara B and Highland, Heather M and Lange, Leslie A and Liu, Yongmei and M{\"a}gi, Reedik and Nalls, Mike A and Mathias, Rasika A and Nickerson, Deborah A and Nikus, Kjell and Starr, John M and Tardif, Jean-Claude and Tzoulaki, Ioanna and Velez Edwards, Digna R and Wallentin, Lars and Bartz, Traci M and Becker, Lewis C and Denny, Joshua C and Raffield, Laura M and Rioux, John D and Friedrich, Nele and Fornage, Myriam and Gao, He and Hirschhorn, Joel N and Liewald, David C M and Rich, Stephen S and Uitterlinden, Andre and Bastarache, Lisa and Becker, Diane M and Boerwinkle, Eric and de Denus, Simon and Bottinger, Erwin P and Hayward, Caroline and Hofman, Albert and Homuth, Georg and Lange, Ethan and Launer, Lenore J and Lehtim{\"a}ki, Terho and Lu, Yingchang and Metspalu, Andres and O{\textquoteright}Donnell, Chris J and Quarells, Rakale C and Richard, Melissa and Torstenson, Eric S and Taylor, Kent D and Vergnaud, Anne-Claire and Zonderman, Alan B and Crosslin, David R and Deary, Ian J and D{\"o}rr, Marcus and Elliott, Paul and Evans, Michele K and Gudnason, Vilmundur and K{\"a}h{\"o}nen, Mika and Psaty, Bruce M and Rotter, Jerome I and Slater, Andrew J and Dehghan, Abbas and White, Harvey D and Ganesh, Santhi K and Loos, Ruth J F and Esko, T{\~o}nu and Faraday, Nauder and Wilson, James G and Cushman, Mary and Johnson, Andrew D and Edwards, Todd L and Zakai, Neil A and Lettre, Guillaume and Reiner, Alex P and Auer, Paul L} } @article {7139, title = {Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals.}, journal = {Am J Hum Genet}, volume = {99}, year = {2016}, month = {2016 Jul 7}, pages = {40-55}, abstract = {

Platelet production, maintenance, and clearance are tightly controlled processes indicative of platelets{\textquoteright} important roles in hemostasis and thrombosis. Platelets are common targets for primary and secondary prevention of several conditions. They are monitored clinically by complete blood counts, specifically with measurements of platelet count (PLT) and mean platelet volume (MPV). Identifying genetic effects on PLT and MPV can provide mechanistic insights into platelet biology and their role in disease. Therefore, we formed the Blood Cell Consortium (BCX) to perform a large-scale meta-analysis of Exomechip association results for PLT and MPV in 157,293 and 57,617 individuals, respectively. Using the low-frequency/rare coding variant-enriched Exomechip genotyping array, we sought to identify genetic variants associated with PLT and MPV. In addition to confirming 47 known PLT and 20 known MPV associations, we identified 32 PLT and 18 MPV associations not previously observed in the literature across the allele frequency spectrum, including rare large effect (FCER1A), low-frequency (IQGAP2, MAP1A, LY75), and common (ZMIZ2, SMG6, PEAR1, ARFGAP3/PACSIN2) variants. Several variants associated with PLT/MPV (PEAR1, MRVI1, PTGES3) were also associated with platelet reactivity. In concurrent BCX analyses, there was overlap of platelet-associated variants with red (MAP1A, TMPRSS6, ZMIZ2) and white (PEAR1, ZMIZ2, LY75) blood cell traits, suggesting common regulatory pathways with shared genetic architecture among these hematopoietic lineages. Our large-scale Exomechip analyses identified previously undocumented associations with platelet traits and further indicate that several complex quantitative hematological, lipid, and cardiovascular traits share genetic factors.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.05.005}, author = {Eicher, John D and Chami, Nathalie and Kacprowski, Tim and Nomura, Akihiro and Chen, Ming-Huei and Yanek, Lisa R and Tajuddin, Salman M and Schick, Ursula M and Slater, Andrew J and Pankratz, Nathan and Polfus, Linda and Schurmann, Claudia and Giri, Ayush and Brody, Jennifer A and Lange, Leslie A and Manichaikul, Ani and Hill, W David and Pazoki, Raha and Elliot, Paul and Evangelou, Evangelos and Tzoulaki, Ioanna and Gao, He and Vergnaud, Anne-Claire and Mathias, Rasika A and Becker, Diane M and Becker, Lewis C and Burt, Amber and Crosslin, David R and Lyytik{\"a}inen, Leo-Pekka and Nikus, Kjell and Hernesniemi, Jussi and K{\"a}h{\"o}nen, Mika and Raitoharju, Emma and Mononen, Nina and Raitakari, Olli T and Lehtim{\"a}ki, Terho and Cushman, Mary and Zakai, Neil A and Nickerson, Deborah A and Raffield, Laura M and Quarells, Rakale and Willer, Cristen J and Peloso, Gina M and Abecasis, Goncalo R and Liu, Dajiang J and Deloukas, Panos and Samani, Nilesh J and Schunkert, Heribert and Erdmann, Jeanette and Fornage, Myriam and Richard, Melissa and Tardif, Jean-Claude and Rioux, John D and Dub{\'e}, Marie-Pierre and de Denus, Simon and Lu, Yingchang and Bottinger, Erwin P and Loos, Ruth J F and Smith, Albert Vernon and Harris, Tamara B and Launer, Lenore J and Gudnason, Vilmundur and Velez Edwards, Digna R and Torstenson, Eric S and Liu, Yongmei and Tracy, Russell P and Rotter, Jerome I and Rich, Stephen S and Highland, Heather M and Boerwinkle, Eric and Li, Jin and Lange, Ethan and Wilson, James G and Mihailov, Evelin and M{\"a}gi, Reedik and Hirschhorn, Joel and Metspalu, Andres and Esko, T{\~o}nu and Vacchi-Suzzi, Caterina and Nalls, Mike A and Zonderman, Alan B and Evans, Michele K and Engstr{\"o}m, Gunnar and Orho-Melander, Marju and Melander, Olle and O{\textquoteright}Donoghue, Michelle L and Waterworth, Dawn M and Wallentin, Lars and White, Harvey D and Floyd, James S and Bartz, Traci M and Rice, Kenneth M and Psaty, Bruce M and Starr, J M and Liewald, David C M and Hayward, Caroline and Deary, Ian J and Greinacher, Andreas and V{\"o}lker, Uwe and Thiele, Thomas and V{\"o}lzke, Henry and van Rooij, Frank J A and Uitterlinden, Andr{\'e} G and Franco, Oscar H and Dehghan, Abbas and Edwards, Todd L and Ganesh, Santhi K and Kathiresan, Sekar and Faraday, Nauder and Auer, Paul L and Reiner, Alex P and Lettre, Guillaume and Johnson, Andrew D} } @article {7263, title = {Whole-Exome Sequencing Identifies Loci Associated with Blood Cell Traits and Reveals a Role for Alternative GFI1B Splice Variants in Human Hematopoiesis.}, journal = {Am J Hum Genet}, volume = {99}, year = {2016}, month = {2016 Sep 01}, pages = {785}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.08.002}, author = {Polfus, Linda M and Khajuria, Rajiv K and Schick, Ursula M and Pankratz, Nathan and Pazoki, Raha and Brody, Jennifer A and Chen, Ming-Huei and Auer, Paul L and Floyd, James S and Huang, Jie and Lange, Leslie and van Rooij, Frank J A and Gibbs, Richard A and Metcalf, Ginger and Muzny, Donna and Veeraraghavan, Narayanan and Walter, Klaudia and Chen, Lu and Yanek, Lisa and Becker, Lewis C and Peloso, Gina M and Wakabayashi, Aoi and Kals, Mart and Metspalu, Andres and Esko, T{\~o}nu and Fox, Keolu and Wallace, Robert and Franceschini, Nora and Matijevic, Nena and Rice, Kenneth M and Bartz, Traci M and Lyytik{\"a}inen, Leo-Pekka and K{\"a}h{\"o}nen, Mika and Lehtim{\"a}ki, Terho and Raitakari, Olli T and Li-Gao, Ruifang and Mook-Kanamori, Dennis O and Lettre, Guillaume and van Duijn, Cornelia M and Franco, Oscar H and Rich, Stephen S and Rivadeneira, Fernando and Hofman, Albert and Uitterlinden, Andr{\'e} G and Wilson, James G and Psaty, Bruce M and Soranzo, Nicole and Dehghan, Abbas and Boerwinkle, Eric and Zhang, Xiaoling and Johnson, Andrew D and O{\textquoteright}Donnell, Christopher J and Johnsen, Jill M and Reiner, Alexander P and Ganesh, Santhi K and Sankaran, Vijay G} } @article {7353, title = {A genome-wide interaction analysis of tricyclic/tetracyclic antidepressants and RR and QT intervals: a pharmacogenomics study from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.}, journal = {J Med Genet}, volume = {54}, year = {2017}, month = {2017 May}, pages = {313-323}, abstract = {

BACKGROUND: Increased heart rate and a prolonged QT interval are important risk factors for cardiovascular morbidity and mortality, and can be influenced by the use of various medications, including tricyclic/tetracyclic antidepressants (TCAs). We aim to identify genetic loci that modify the association between TCA use and RR and QT intervals.

METHODS AND RESULTS: We conducted race/ethnic-specific genome-wide interaction analyses (with HapMap phase II imputed reference panel imputation) of TCAs and resting RR and QT intervals in cohorts of European (n=45 706; n=1417 TCA users), African (n=10 235; n=296 TCA users) and Hispanic/Latino (n=13 808; n=147 TCA users) ancestry, adjusted for clinical covariates. Among the populations of European ancestry, two genome-wide significant loci were identified for RR interval: rs6737205 in BRE (β=56.3, pinteraction=3.9e(-9)) and rs9830388 in UBE2E2 (β=25.2, pinteraction=1.7e(-8)). In Hispanic/Latino cohorts, rs2291477 in TGFBR3 significantly modified the association between TCAs and QT intervals (β=9.3, pinteraction=2.55e(-8)). In the meta-analyses of the other ethnicities, these loci either were excluded from the meta-analyses (as part of quality control), or their effects did not reach the level of nominal statistical significance (pinteraction>0.05). No new variants were identified in these ethnicities. No additional loci were identified after inverse-variance-weighted meta-analysis of the three ancestries.

CONCLUSIONS: Among Europeans, TCA interactions with variants in BRE and UBE2E2 were identified in relation to RR intervals. Among Hispanic/Latinos, variants in TGFBR3 modified the relation between TCAs and QT intervals. Future studies are required to confirm our results.

}, issn = {1468-6244}, doi = {10.1136/jmedgenet-2016-104112}, author = {Noordam, Raymond and Sitlani, Colleen M and Avery, Christy L and Stewart, James D and Gogarten, Stephanie M and Wiggins, Kerri L and Trompet, Stella and Warren, Helen R and Sun, Fangui and Evans, Daniel S and Li, Xiaohui and Li, Jin and Smith, Albert V and Bis, Joshua C and Brody, Jennifer A and Busch, Evan L and Caulfield, Mark J and Chen, Yii-der I and Cummings, Steven R and Cupples, L Adrienne and Duan, Qing and Franco, Oscar H and M{\'e}ndez-Gir{\'a}ldez, R{\'a}ul and Harris, Tamara B and Heckbert, Susan R and van Heemst, Diana and Hofman, Albert and Floyd, James S and Kors, Jan A and Launer, Lenore J and Li, Yun and Li-Gao, Ruifang and Lange, Leslie A and Lin, Henry J and de Mutsert, Ren{\'e}e and Napier, Melanie D and Newton-Cheh, Christopher and Poulter, Neil and Reiner, Alexander P and Rice, Kenneth M and Roach, Jeffrey and Rodriguez, Carlos J and Rosendaal, Frits R and Sattar, Naveed and Sever, Peter and Seyerle, Amanda A and Slagboom, P Eline and Soliman, Elsayed Z and Sotoodehnia, Nona and Stott, David J and St{\"u}rmer, Til and Taylor, Kent D and Thornton, Timothy A and Uitterlinden, Andr{\'e} G and Wilhelmsen, Kirk C and Wilson, James G and Gudnason, Vilmundur and Jukema, J Wouter and Laurie, Cathy C and Liu, Yongmei and Mook-Kanamori, Dennis O and Munroe, Patricia B and Rotter, Jerome I and Vasan, Ramachandran S and Psaty, Bruce M and Stricker, Bruno H and Whitsel, Eric A} } @article {7364, title = {Genome-wide Trans-ethnic Meta-analysis Identifies Seven Genetic Loci Influencing Erythrocyte Traits and a Role for RBPMS in Erythropoiesis.}, journal = {Am J Hum Genet}, volume = {100}, year = {2017}, month = {2017 Jan 05}, pages = {51-63}, abstract = {

Genome-wide association studies (GWASs) have identified loci for erythrocyte traits in primarily European ancestry populations. We conducted GWAS meta-analyses of six erythrocyte traits in 71,638 individuals from European, East Asian, and African ancestries using a Bayesian approach to account for heterogeneity in allelic effects and variation in the structure of linkage disequilibrium between ethnicities. We identified seven loci for erythrocyte traits including a locus (RBPMS/GTF2E2) associated with mean corpuscular hemoglobin and mean corpuscular volume. Statistical fine-mapping at this locus pointed to RBPMS at this locus and excluded nearby GTF2E2. Using zebrafish morpholino to evaluate loss of function, we observed a strong in~vivo erythropoietic effect for RBPMS but not for GTF2E2, supporting the statistical fine-mapping at this locus and demonstrating that RBPMS is a regulator of erythropoiesis. Our findings show the utility of trans-ethnic GWASs for discovery and characterization of genetic loci influencing hematologic traits.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.11.016}, author = {van Rooij, Frank J A and Qayyum, Rehan and Smith, Albert V and Zhou, Yi and Trompet, Stella and Tanaka, Toshiko and Keller, Margaux F and Chang, Li-Ching and Schmidt, Helena and Yang, Min-Lee and Chen, Ming-Huei and Hayes, James and Johnson, Andrew D and Yanek, Lisa R and Mueller, Christian and Lange, Leslie and Floyd, James S and Ghanbari, Mohsen and Zonderman, Alan B and Jukema, J Wouter and Hofman, Albert and van Duijn, Cornelia M and Desch, Karl C and Saba, Yasaman and Ozel, Ayse B and Snively, Beverly M and Wu, Jer-Yuarn and Schmidt, Reinhold and Fornage, Myriam and Klein, Robert J and Fox, Caroline S and Matsuda, Koichi and Kamatani, Naoyuki and Wild, Philipp S and Stott, David J and Ford, Ian and Slagboom, P Eline and Yang, Jaden and Chu, Audrey Y and Lambert, Amy J and Uitterlinden, Andr{\'e} G and Franco, Oscar H and Hofer, Edith and Ginsburg, David and Hu, Bella and Keating, Brendan and Schick, Ursula M and Brody, Jennifer A and Li, Jun Z and Chen, Zhao and Zeller, Tanja and Guralnik, Jack M and Chasman, Daniel I and Peters, Luanne L and Kubo, Michiaki and Becker, Diane M and Li, Jin and Eiriksdottir, Gudny and Rotter, Jerome I and Levy, Daniel and Grossmann, Vera and Patel, Kushang V and Chen, Chien-Hsiun and Ridker, Paul M and Tang, Hua and Launer, Lenore J and Rice, Kenneth M and Li-Gao, Ruifang and Ferrucci, Luigi and Evans, Michelle K and Choudhuri, Avik and Trompouki, Eirini and Abraham, Brian J and Yang, Song and Takahashi, Atsushi and Kamatani, Yoichiro and Kooperberg, Charles and Harris, Tamara B and Jee, Sun Ha and Coresh, Josef and Tsai, Fuu-Jen and Longo, Dan L and Chen, Yuan-Tsong and Felix, Janine F and Yang, Qiong and Psaty, Bruce M and Boerwinkle, Eric and Becker, Lewis C and Mook-Kanamori, Dennis O and Wilson, James G and Gudnason, Vilmundur and O{\textquoteright}Donnell, Christopher J and Dehghan, Abbas and Cupples, L Adrienne and Nalls, Michael A and Morris, Andrew P and Okada, Yukinori and Reiner, Alexander P and Zon, Leonard I and Ganesh, Santhi K} } @article {7793, title = {Generalization and fine mapping of red blood cell trait genetic associations to multi-ethnic populations: The PAGE Study.}, journal = {Am J Hematol}, year = {2018}, month = {2018 Jun 15}, abstract = {

Red blood cell (RBC) traits provide insight into a wide range of physiological states and exhibit moderate to high heritability, making them excellent candidates for genetic studies to inform underlying biologic mechanisms. Previous RBC trait genome-wide association studies were performed primarily in European- or Asian-ancestry populations, missing opportunities to inform understanding of RBC genetic architecture in diverse populations and reduce intervals surrounding putative functional SNPs through fine-mapping. Here, we report the first fine-mapping of six correlated (Pearson{\textquoteright}s r range: |0.04 - 0.92|) RBC traits in up to 19,036 African Americans and 19,562 Hispanic/Latinos participants of the Population Architecture using Genomics and Epidemiology (PAGE) consortium. Trans-ethnic meta-analysis of race/ethnic- and study-specific estimates for approximately 11,000 SNPs flanking 13 previously identified association signals as well as 150,000 additional array-wide SNPs was performed using inverse-variance meta-analysis after adjusting for study and clinical covariates. Approximately half of previously reported index SNP-RBC trait associations generalized to the trans-ethnic study population (p<1.7x10 ); previously unreported independent association signals within the ABO region reinforce the potential for multiple functional variants affecting the same locus. Trans-ethnic fine-mapping did not reveal additional signals at the HFE locus independent of the known functional variants. Finally, we identified a potential novel association in the Hispanic/Latino study population at the HECTD4/RPL6 locus for RBC count (p=1.9x10 ). The identification of a previously unknown association, generalization of a large proportion of known association signals, and refinement of known association signals all exemplify the benefits of genetic studies in diverse populations. This article is protected by copyright. All rights reserved.

}, issn = {1096-8652}, doi = {10.1002/ajh.25161}, author = {Jo Hodonsky, Chani and Schurmann, Claudia and Schick, Ursula M and Kocarnik, Jonathan and Tao, Ran and van Rooij, Frank Ja and Wassel, Christina and Buyske, Steve and Fornage, Myriam and Hindorff, Lucia A and Floyd, James S and Ganesh, Santhi K and Lin, Dan-Yu and North, Kari E and Reiner, Alex P and Loos, Ruth Jf and Kooperberg, Charles and Avery, Christy L} } @article {7794, title = {Genome-wide meta-analysis of SNP-by9-ACEI/ARB and SNP-by-thiazide diuretic and effect on serum potassium in cohorts of European and African ancestry.}, journal = {Pharmacogenomics J}, year = {2018}, month = {2018 Jun 01}, abstract = {

We evaluated interactions of SNP-by-ACE-I/ARB and SNP-by-TD on serum potassium (K+) among users of antihypertensive treatments (anti-HTN). Our study included seven European-ancestry (EA) (N = 4835) and four African-ancestry (AA) cohorts (N = 2016). We performed race-stratified, fixed-effect, inverse-variance-weighted meta-analyses of 2.5 million SNP-by-drug interaction estimates; race-combined meta-analysis; and trans-ethnic fine-mapping. Among EAs, we identified 11 significant SNPs (P < 5 {\texttimes} 10) for SNP-ACE-I/ARB interactions on serum K+ that were located between NR2F1-AS1 and ARRDC3-AS1 on chromosome 5 (top SNP rs6878413 P = 1.7 {\texttimes} 10; ratio of serum K+ in ACE-I/ARB exposed compared to unexposed is 1.0476, 1.0280, 1.0088 for the TT, AT, and AA genotypes, respectively). Trans-ethnic fine mapping identified the same group of SNPs on chromosome 5 as genome-wide significant for the ACE-I/ARB analysis. In conclusion, SNP-by-ACE-I /ARB interaction analyses uncovered loci that, if replicated, could have future implications for the prevention of arrhythmias due to anti-HTN treatment-related hyperkalemia. Before these loci can be identified as clinically relevant, future validation studies of equal or greater size in comparison to our discovery effort are needed.

}, issn = {1473-1150}, doi = {10.1038/s41397-018-0021-9}, author = {Irvin, Marguerite R and Sitlani, Colleen M and Noordam, Raymond and Avery, Christie L and Bis, Joshua C and Floyd, James S and Li, Jin and Limdi, Nita A and Srinivasasainagendra, Vinodh and Stewart, James and de Mutsert, Ren{\'e}e and Mook-Kanamori, Dennis O and Lipovich, Leonard and Kleinbrink, Erica L and Smith, Albert and Bartz, Traci M and Whitsel, Eric A and Uitterlinden, Andr{\'e} G and Wiggins, Kerri L and Wilson, James G and Zhi, Degui and Stricker, Bruno H and Rotter, Jerome I and Arnett, Donna K and Psaty, Bruce M and Lange, Leslie A} } @article {8507, title = {Blood Leukocyte DNA Methylation Predicts Risk of Future Myocardial Infarction and Coronary Heart Disease.}, journal = {Circulation}, volume = {140}, year = {2019}, month = {2019 08 20}, pages = {645-657}, abstract = {

BACKGROUND: DNA methylation is implicated in coronary heart disease (CHD), but current evidence is based on small, cross-sectional studies. We examined blood DNA methylation in relation to incident CHD across multiple prospective cohorts.

METHODS: Nine population-based cohorts from the United States and Europe profiled epigenome-wide blood leukocyte DNA methylation using the Illumina Infinium 450k microarray, and prospectively ascertained CHD events including coronary insufficiency/unstable angina, recognized myocardial infarction, coronary revascularization, and coronary death. Cohorts conducted race-specific analyses adjusted for age, sex, smoking, education, body mass index, blood cell type proportions, and technical variables. We conducted fixed-effect meta-analyses across cohorts.

RESULTS: Among 11 461 individuals (mean age 64 years, 67\% women, 35\% African American) free of CHD at baseline, 1895 developed CHD during a mean follow-up of 11.2 years. Methylation levels at 52 CpG (cytosine-phosphate-guanine) sites were associated with incident CHD or myocardial infarction (false discovery rate<0.05). These CpGs map to genes with key roles in calcium regulation (ATP2B2, CASR, GUCA1B, HPCAL1), and genes identified in genome- and epigenome-wide studies of serum calcium (CASR), serum calcium-related risk of CHD (CASR), coronary artery calcified plaque (PTPRN2), and kidney function (CDH23, HPCAL1), among others. Mendelian randomization analyses supported a causal effect of DNA methylation on incident CHD; these CpGs map to active regulatory regions proximal to long non-coding RNA transcripts.

CONCLUSION: Methylation of blood-derived DNA is associated with risk of future CHD across diverse populations and may serve as an informative tool for gaining further insight on the development of CHD.

}, keywords = {Adult, Aged, Cohort Studies, Coronary Disease, CpG Islands, DNA Methylation, Europe, Female, Genome-Wide Association Study, Humans, Incidence, Leukocytes, Male, Middle Aged, Myocardial Infarction, Population Groups, Prognosis, Prospective Studies, Risk, United States}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.118.039357}, author = {Agha, Golareh and Mendelson, Michael M and Ward-Caviness, Cavin K and Joehanes, Roby and Huan, Tianxiao and Gondalia, Rahul and Salfati, Elias and Brody, Jennifer A and Fiorito, Giovanni and Bressler, Jan and Chen, Brian H and Ligthart, Symen and Guarrera, Simonetta and Colicino, Elena and Just, Allan C and Wahl, Simone and Gieger, Christian and Vandiver, Amy R and Tanaka, Toshiko and Hernandez, Dena G and Pilling, Luke C and Singleton, Andrew B and Sacerdote, Carlotta and Krogh, Vittorio and Panico, Salvatore and Tumino, Rosario and Li, Yun and Zhang, Guosheng and Stewart, James D and Floyd, James S and Wiggins, Kerri L and Rotter, Jerome I and Multhaup, Michael and Bakulski, Kelly and Horvath, Steven and Tsao, Philip S and Absher, Devin M and Vokonas, Pantel and Hirschhorn, Joel and Fallin, M Daniele and Liu, Chunyu and Bandinelli, Stefania and Boerwinkle, Eric and Dehghan, Abbas and Schwartz, Joel D and Psaty, Bruce M and Feinberg, Andrew P and Hou, Lifang and Ferrucci, Luigi and Sotoodehnia, Nona and Matullo, Giuseppe and Peters, Annette and Fornage, Myriam and Assimes, Themistocles L and Whitsel, Eric A and Levy, Daniel and Baccarelli, Andrea A} } @article {9372, title = {Genome-Wide Association Study of Apparent Treatment-Resistant Hypertension in the CHARGE Consortium: The CHARGE Pharmacogenetics Working Group.}, journal = {Am J Hypertens}, volume = {32}, year = {2019}, month = {2019 Nov 15}, pages = {1146-1153}, abstract = {

BACKGROUND: Only a handful of genetic discovery efforts in apparent treatment-resistant hypertension (aTRH) have been described.

METHODS: We conducted a case-control genome-wide association study of aTRH among persons treated for hypertension, using data from 10 cohorts of European ancestry (EA) and 5 cohorts of African ancestry (AA). Cases were treated with 3 different antihypertensive medication classes and had blood pressure (BP) above goal (systolic BP >= 140 mm Hg and/or diastolic BP >= 90 mm Hg) or 4 or more medication classes regardless of BP control (nEA = 931, nAA = 228). Both a normotensive control group and a treatment-responsive control group were considered in separate analyses. Normotensive controls were untreated (nEA = 14,210, nAA = 2,480) and had systolic BP/diastolic BP < 140/90 mm Hg. Treatment-responsive controls (nEA = 5,266, nAA = 1,817) had BP at goal (<140/90 mm Hg), while treated with one antihypertensive medication class. Individual cohorts used logistic regression with adjustment for age, sex, study site, and principal components for ancestry to examine the association of single-nucleotide polymorphisms with case-control status. Inverse variance-weighted fixed-effects meta-analyses were carried out using METAL.

RESULTS: The known hypertension locus, CASZ1, was a top finding among EAs (P = 1.1 {\texttimes} 10-8) and in the race-combined analysis (P = 1.5 {\texttimes} 10-9) using the normotensive control group (rs12046278, odds ratio = 0.71 (95\% confidence interval: 0.6-0.8)). Single-nucleotide polymorphisms in this locus were robustly replicated in the Million Veterans Program (MVP) study in consideration of a treatment-responsive control group. There were no statistically significant findings for the discovery analyses including treatment-responsive controls.

CONCLUSION: This genomic discovery effort for aTRH identified CASZ1 as an aTRH risk locus.

}, keywords = {Aged, Antihypertensive Agents, Black or African American, Blood Pressure, Case-Control Studies, DNA (Cytosine-5-)-Methyltransferases, DNA Methyltransferase 3A, DNA-Binding Proteins, Drug Resistance, Dystrophin-Associated Proteins, Europe, Female, Genetic Loci, Genome-Wide Association Study, Humans, Hypertension, Male, Middle Aged, Myosin Heavy Chains, Myosin Type V, Neuropeptides, Pharmacogenetics, Pharmacogenomic Variants, Polymorphism, Single Nucleotide, Risk Assessment, Risk Factors, Transcription Factors, United States, White People}, issn = {1941-7225}, doi = {10.1093/ajh/hpz150}, author = {Irvin, Marguerite R and Sitlani, Colleen M and Floyd, James S and Psaty, Bruce M and Bis, Joshua C and Wiggins, Kerri L and Whitsel, Eric A and St{\"u}rmer, Til and Stewart, James and Raffield, Laura and Sun, Fangui and Liu, Ching-Ti and Xu, Hanfei and Cupples, Adrienne L and Tanner, Rikki M and Rossing, Peter and Smith, Albert and Zilh{\~a}o, Nuno R and Launer, Lenore J and Noordam, Raymond and Rotter, Jerome I and Yao, Jie and Li, Xiaohui and Guo, Xiuqing and Limdi, Nita and Sundaresan, Aishwarya and Lange, Leslie and Correa, Adolfo and Stott, David J and Ford, Ian and Jukema, J Wouter and Gudnason, Vilmundur and Mook-Kanamori, Dennis O and Trompet, Stella and Palmas, Walter and Warren, Helen R and Hellwege, Jacklyn N and Giri, Ayush and O{\textquoteright}donnell, Christopher and Hung, Adriana M and Edwards, Todd L and Ahluwalia, Tarunveer S and Arnett, Donna K and Avery, Christy L} } @article {8508, title = {Genomewide Association Study of Statin-Induced Myopathy in Patients Recruited Using the UK Clinical Practice Research Datalink.}, journal = {Clin Pharmacol Ther}, volume = {106}, year = {2019}, month = {2019 12}, pages = {1353-1361}, abstract = {

Statins can be associated with myopathy. We have undertaken a genomewide association study (GWAS) to discover and validate genetic risk factors for statin-induced myopathy in a "real-world" setting. One hundred thirty-five patients with statin myopathy recruited via the UK Clinical Practice Research Datalink were genotyped using the Illumina OmniExpress Exome version 1.0 Bead Chip and compared with the Wellcome Trust Case-Control Consortium (n~=~2,501). Nominally statistically significant single nucleotide polymorphism (SNP) signals in the GWAS (P~<~5~{\texttimes}~10 ) were further evaluated in several independent cohorts (comprising 332 cases and 449 drug-tolerant controls). Only one (rs4149056/c.521C>T in the SLCO1B1 gene) SNP was genomewide significant in the severe myopathy (creatine kinase~>~10~{\texttimes}~upper limit of normal or rhabdomyolysis) group (P~=~2.55~{\texttimes}~10 ; odds ratio 5.15; 95\% confidence interval 3.13-8.45). The association with SLCO1B1 was present for several statins and replicated in the independent validation cohorts. The data highlight the role of SLCO1B1 c.521C>T SNP as a replicable genetic risk factor for statin myopathy. No other novel genetic risk factors with a similar effect size were identified.

}, keywords = {Adverse Drug Reaction Reporting Systems, Case-Control Studies, Databases, Factual, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Liver-Specific Organic Anion Transporter 1, Muscular Diseases, Pharmacogenomic Variants, Polymorphism, Single Nucleotide, Reproducibility of Results, Risk Factors, Severity of Illness Index, United Kingdom}, issn = {1532-6535}, doi = {10.1002/cpt.1557}, author = {Carr, Daniel F and Francis, Ben and Jorgensen, Andrea L and Zhang, Eunice and Chinoy, Hector and Heckbert, Susan R and Bis, Joshua C and Brody, Jennifer A and Floyd, James S and Psaty, Bruce M and Molokhia, Mariam and Lapeyre-Mestre, Maryse and Conforti, Anita and Alfirevic, Ana and van Staa, Tjeerd and Pirmohamed, Munir} } @article {8005, title = {Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids.}, journal = {Nat Genet}, volume = {51}, year = {2019}, month = {2019 Apr}, pages = {636-648}, abstract = {

The concentrations of high- and low-density-lipoprotein cholesterol and triglycerides are influenced by smoking, but it is unknown whether genetic associations with lipids may be modified by smoking. We conducted a multi-ancestry genome-wide gene-smoking interaction study in 133,805 individuals with follow-up in an additional 253,467 individuals. Combined meta-analyses identified 13 new loci associated with lipids, some of which were detected only because association differed by smoking status. Additionally, we demonstrate the importance of including diverse populations, particularly in studies of interactions with lifestyle factors, where genomic and lifestyle differences by ancestry may contribute to novel findings.

}, issn = {1546-1718}, doi = {10.1038/s41588-019-0378-y}, author = {Bentley, Amy R and Sung, Yun J and Brown, Michael R and Winkler, Thomas W and Kraja, Aldi T and Ntalla, Ioanna and Schwander, Karen and Chasman, Daniel I and Lim, Elise and Deng, Xuan and Guo, Xiuqing and Liu, Jingmin and Lu, Yingchang and Cheng, Ching-Yu and Sim, Xueling and Vojinovic, Dina and Huffman, Jennifer E and Musani, Solomon K and Li, Changwei and Feitosa, Mary F and Richard, Melissa A and Noordam, Raymond and Baker, Jenna and Chen, Guanjie and Aschard, Hugues and Bartz, Traci M and Ding, Jingzhong and Dorajoo, Rajkumar and Manning, Alisa K and Rankinen, Tuomo and Smith, Albert V and Tajuddin, Salman M and Zhao, Wei and Graff, Mariaelisa and Alver, Maris and Boissel, Mathilde and Chai, Jin Fang and Chen, Xu and Divers, Jasmin and Evangelou, Evangelos and Gao, Chuan and Goel, Anuj and Hagemeijer, Yanick and Harris, Sarah E and Hartwig, Fernando P and He, Meian and Horimoto, Andrea R V R and Hsu, Fang-Chi and Hung, Yi-Jen and Jackson, Anne U and Kasturiratne, Anuradhani and Komulainen, Pirjo and Kuhnel, Brigitte and Leander, Karin and Lin, Keng-Hung and Luan, Jian{\textquoteright}an and Lyytik{\"a}inen, Leo-Pekka and Matoba, Nana and Nolte, Ilja M and Pietzner, Maik and Prins, Bram and Riaz, Muhammad and Robino, Antonietta and Said, M Abdullah and Schupf, Nicole and Scott, Robert A and Sofer, Tamar and Stan{\v c}{\'a}kov{\'a}, Alena and Takeuchi, Fumihiko and Tayo, Bamidele O and van der Most, Peter J and Varga, Tibor V and Wang, Tzung-Dau and Wang, Yajuan and Ware, Erin B and Wen, Wanqing and Xiang, Yong-Bing and Yanek, Lisa R and Zhang, Weihua and Zhao, Jing Hua and Adeyemo, Adebowale and Afaq, Saima and Amin, Najaf and Amini, Marzyeh and Arking, Dan E and Arzumanyan, Zorayr and Aung, Tin and Ballantyne, Christie and Barr, R Graham and Bielak, Lawrence F and Boerwinkle, Eric and Bottinger, Erwin P and Broeckel, Ulrich and Brown, Morris and Cade, Brian E and Campbell, Archie and Canouil, Micka{\"e}l and Charumathi, Sabanayagam and Chen, Yii-Der Ida and Christensen, Kaare and Concas, Maria Pina and Connell, John M and de Las Fuentes, Lisa and de Silva, H Janaka and de Vries, Paul S and Doumatey, Ayo and Duan, Qing and Eaton, Charles B and Eppinga, Ruben N and Faul, Jessica D and Floyd, James S and Forouhi, Nita G and Forrester, Terrence and Friedlander, Yechiel and Gandin, Ilaria and Gao, He and Ghanbari, Mohsen and Gharib, Sina A and Gigante, Bruna and Giulianini, Franco and Grabe, Hans J and Gu, C Charles and Harris, Tamara B and Heikkinen, Sami and Heng, Chew-Kiat and Hirata, Makoto and Hixson, James E and Ikram, M Arfan and Jia, Yucheng and Joehanes, Roby and Johnson, Craig and Jonas, Jost Bruno and Justice, Anne E and Katsuya, Tomohiro and Khor, Chiea Chuen and Kilpel{\"a}inen, Tuomas O and Koh, Woon-Puay and Kolcic, Ivana and Kooperberg, Charles and Krieger, Jose E and Kritchevsky, Stephen B and Kubo, Michiaki and Kuusisto, Johanna and Lakka, Timo A and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Lehne, Benjamin and Lewis, Cora E and Li, Yize and Liang, Jingjing and Lin, Shiow and Liu, Ching-Ti and Liu, Jianjun and Liu, Kiang and Loh, Marie and Lohman, Kurt K and Louie, Tin and Luzzi, Anna and M{\"a}gi, Reedik and Mahajan, Anubha and Manichaikul, Ani W and McKenzie, Colin A and Meitinger, Thomas and Metspalu, Andres and Milaneschi, Yuri and Milani, Lili and Mohlke, Karen L and Momozawa, Yukihide and Morris, Andrew P and Murray, Alison D and Nalls, Mike A and Nauck, Matthias and Nelson, Christopher P and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Papanicolau, George J and Pedersen, Nancy L and Peters, Annette and Peyser, Patricia A and Polasek, Ozren and Poulter, Neil and Raitakari, Olli T and Reiner, Alex P and Renstrom, Frida and Rice, Treva K and Rich, Stephen S and Robinson, Jennifer G and Rose, Lynda M and Rosendaal, Frits R and Rudan, Igor and Schmidt, Carsten O and Schreiner, Pamela J and Scott, William R and Sever, Peter and Shi, Yuan and Sidney, Stephen and Sims, Mario and Smith, Jennifer A and Snieder, Harold and Starr, John M and Strauch, Konstantin and Stringham, Heather M and Tan, Nicholas Y Q and Tang, Hua and Taylor, Kent D and Teo, Yik Ying and Tham, Yih Chung and Tiemeier, Henning and Turner, Stephen T and Uitterlinden, Andr{\'e} G and van Heemst, Diana and Waldenberger, Melanie and Wang, Heming and Wang, Lan and Wang, Lihua and Wei, Wen Bin and Williams, Christine A and Wilson, Gregory and Wojczynski, Mary K and Yao, Jie and Young, Kristin and Yu, Caizheng and Yuan, Jian-Min and Zhou, Jie and Zonderman, Alan B and Becker, Diane M and Boehnke, Michael and Bowden, Donald W and Chambers, John C and Cooper, Richard S and de Faire, Ulf and Deary, Ian J and Elliott, Paul and Esko, T{\~o}nu and Farrall, Martin and Franks, Paul W and Freedman, Barry I and Froguel, Philippe and Gasparini, Paolo and Gieger, Christian and Horta, Bernardo L and Juang, Jyh-Ming Jimmy and Kamatani, Yoichiro and Kammerer, Candace M and Kato, Norihiro and Kooner, Jaspal S and Laakso, Markku and Laurie, Cathy C and Lee, I-Te and Lehtim{\"a}ki, Terho and Magnusson, Patrik K E and Oldehinkel, Albertine J and Penninx, Brenda W J H and Pereira, Alexandre C and Rauramaa, Rainer and Redline, Susan and Samani, Nilesh J and Scott, James and Shu, Xiao-Ou and van der Harst, Pim and Wagenknecht, Lynne E and Wang, Jun-Sing and Wang, Ya Xing and Wareham, Nicholas J and Watkins, Hugh and Weir, David R and Wickremasinghe, Ananda R and Wu, Tangchun and Zeggini, Eleftheria and Zheng, Wei and Bouchard, Claude and Evans, Michele K and Gudnason, Vilmundur and Kardia, Sharon L R and Liu, Yongmei and Psaty, Bruce M and Ridker, Paul M and van Dam, Rob M and Mook-Kanamori, Dennis O and Fornage, Myriam and Province, Michael A and Kelly, Tanika N and Fox, Ervin R and Hayward, Caroline and van Duijn, Cornelia M and Tai, E Shyong and Wong, Tien Yin and Loos, Ruth J F and Franceschini, Nora and Rotter, Jerome I and Zhu, Xiaofeng and Bierut, Laura J and Gauderman, W James and Rice, Kenneth and Munroe, Patricia B and Morrison, Alanna C and Rao, Dabeeru C and Rotimi, Charles N and Cupples, L Adrienne} } @article {8102, title = {Pharmacogenomics of statin-related myopathy: Meta-analysis of rare variants from whole-exome sequencing.}, journal = {PLoS One}, volume = {14}, year = {2019}, month = {2019}, pages = {e0218115}, abstract = {

AIMS: Statin-related myopathy (SRM), which includes rhabdomyolysis, is an uncommon but important adverse drug reaction because the number of people prescribed statins world-wide is large. Previous association studies of common genetic variants have had limited success in identifying a genetic basis for this adverse drug reaction. We conducted a multi-site whole-exome sequencing study to investigate whether rare coding variants confer an increased risk of SRM.

METHODS AND RESULTS: SRM 3-5 cases (N = 505) and statin treatment-tolerant controls (N = 2047) were recruited from multiple sites in North America and Europe. SRM 3-5 was defined as symptoms consistent with muscle injury and an elevated creatine phosphokinase level >4 times upper limit of normal without another likely cause of muscle injury. Whole-exome sequencing and variant calling was coordinated from two analysis centres, and results of single-variant and gene-based burden tests were meta-analysed. No genome-wide significant associations were identified. Given the large number of cases, we had 80\% power to identify a variant with minor allele frequency of 0.01 that increases the risk of SRM 6-fold at genome-wide significance.

CONCLUSIONS: In this large whole-exome sequencing study of severe statin-related muscle injury conducted to date, we did not find evidence that rare coding variants are responsible for this adverse drug reaction. Larger sample sizes would be required to identify rare variants with small effects, but it is unclear whether such findings would be clinically actionable.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0218115}, author = {Floyd, James S and Bloch, Katarzyna M and Brody, Jennifer A and Maroteau, Cyrielle and Siddiqui, Moneeza K and Gregory, Richard and Carr, Daniel F and Molokhia, Mariam and Liu, Xiaoming and Bis, Joshua C and Ahmed, Ammar and Liu, Xuan and Hallberg, P{\"a}r and Yue, Qun-Ying and Magnusson, Patrik K E and Brisson, Diane and Wiggins, Kerri L and Morrison, Alanna C and Khoury, Etienne and McKeigue, Paul and Stricker, Bruno H and Lapeyre-Mestre, Maryse and Heckbert, Susan R and Gallagher, Arlene M and Chinoy, Hector and Gibbs, Richard A and Bondon-Guitton, Emmanuelle and Tracy, Russell and Boerwinkle, Eric and Gaudet, Daniel and Conforti, Anita and van Staa, Tjeerd and Sitlani, Colleen M and Rice, Kenneth M and Maitland-van der Zee, Anke-Hilse and Wadelius, Mia and Morris, Andrew P and Pirmohamed, Munir and Palmer, Colin A N and Psaty, Bruce M and Alfirevic, Ana} } @article {8621, title = {Inherited causes of clonal haematopoiesis in 97,691 whole genomes.}, journal = {Nature}, volume = {586}, year = {2020}, month = {2020 10}, pages = {763-768}, abstract = {

Age is the dominant risk factor for most chronic human diseases, but the mechanisms through which ageing confers this risk are largely unknown. The age-related acquisition of somatic mutations that lead to clonal expansion in regenerating haematopoietic stem cell populations has recently been associated with both haematological cancer and coronary heart disease-this phenomenon is~termed clonal haematopoiesis of indeterminate potential (CHIP). Simultaneous analyses of germline and somatic whole-genome sequences provide the opportunity to identify root causes of CHIP. Here we analyse high-coverage whole-genome sequences from 97,691 participants of diverse ancestries in the National Heart, Lung, and Blood Institute Trans-omics for Precision Medicine (TOPMed) programme, and identify 4,229 individuals with CHIP. We identify associations with blood cell, lipid and inflammatory traits that are specific to different CHIP~driver genes. Association of a genome-wide set of germline genetic variants enabled the identification of three genetic loci associated with CHIP status, including one locus at TET2 that was specific to individuals of African ancestry. In silico-informed in vitro evaluation of the TET2 germline locus enabled the identification of a causal variant that disrupts a TET2 distal enhancer, resulting in increased self-renewal of haematopoietic stem cells. Overall, we observe that germline genetic variation shapes haematopoietic stem cell function, leading to CHIP through mechanisms that are specific to clonal haematopoiesis as well as shared mechanisms that lead to somatic mutations across tissues.

}, issn = {1476-4687}, doi = {10.1038/s41586-020-2819-2}, author = {Bick, Alexander G and Weinstock, Joshua S and Nandakumar, Satish K and Fulco, Charles P and Bao, Erik L and Zekavat, Seyedeh M and Szeto, Mindy D and Liao, Xiaotian and Leventhal, Matthew J and Nasser, Joseph and Chang, Kyle and Laurie, Cecelia and Burugula, Bala Bharathi and Gibson, Christopher J and Lin, Amy E and Taub, Margaret A and Aguet, Francois and Ardlie, Kristin and Mitchell, Braxton D and Barnes, Kathleen C and Moscati, Arden and Fornage, Myriam and Redline, Susan and Psaty, Bruce M and Silverman, Edwin K and Weiss, Scott T and Palmer, Nicholette D and Vasan, Ramachandran S and Burchard, Esteban G and Kardia, Sharon L R and He, Jiang and Kaplan, Robert C and Smith, Nicholas L and Arnett, Donna K and Schwartz, David A and Correa, Adolfo and de Andrade, Mariza and Guo, Xiuqing and Konkle, Barbara A and Custer, Brian and Peralta, Juan M and Gui, Hongsheng and Meyers, Deborah A and McGarvey, Stephen T and Chen, Ida Yii-Der and Shoemaker, M Benjamin and Peyser, Patricia A and Broome, Jai G and Gogarten, Stephanie M and Wang, Fei Fei and Wong, Quenna and Montasser, May E and Daya, Michelle and Kenny, Eimear E and North, Kari E and Launer, Lenore J and Cade, Brian E and Bis, Joshua C and Cho, Michael H and Lasky-Su, Jessica and Bowden, Donald W and Cupples, L Adrienne and Mak, Angel C Y and Becker, Lewis C and Smith, Jennifer A and Kelly, Tanika N and Aslibekyan, Stella and Heckbert, Susan R and Tiwari, Hemant K and Yang, Ivana V and Heit, John A and Lubitz, Steven A and Johnsen, Jill M and Curran, Joanne E and Wenzel, Sally E and Weeks, Daniel E and Rao, Dabeeru C and Darbar, Dawood and Moon, Jee-Young and Tracy, Russell P and Buth, Erin J and Rafaels, Nicholas and Loos, Ruth J F and Durda, Peter and Liu, Yongmei and Hou, Lifang and Lee, Jiwon and Kachroo, Priyadarshini and Freedman, Barry I and Levy, Daniel and Bielak, Lawrence F and Hixson, James E and Floyd, James S and Whitsel, Eric A and Ellinor, Patrick T and Irvin, Marguerite R and Fingerlin, Tasha E and Raffield, Laura M and Armasu, Sebastian M and Wheeler, Marsha M and Sabino, Ester C and Blangero, John and Williams, L Keoki and Levy, Bruce D and Sheu, Wayne Huey-Herng and Roden, Dan M and Boerwinkle, Eric and Manson, JoAnn E and Mathias, Rasika A and Desai, Pinkal and Taylor, Kent D and Johnson, Andrew D and Auer, Paul L and Kooperberg, Charles and Laurie, Cathy C and Blackwell, Thomas W and Smith, Albert V and Zhao, Hongyu and Lange, Ethan and Lange, Leslie and Rich, Stephen S and Rotter, Jerome I and Wilson, James G and Scheet, Paul and Kitzman, Jacob O and Lander, Eric S and Engreitz, Jesse M and Ebert, Benjamin L and Reiner, Alexander P and Jaiswal, Siddhartha and Abecasis, Goncalo and Sankaran, Vijay G and Kathiresan, Sekar and Natarajan, Pradeep} } @article {8480, title = {Mitochondrial DNA copy number can influence mortality and cardiovascular disease via methylation of nuclear DNA CpGs.}, journal = {Genome Med}, volume = {12}, year = {2020}, month = {2020 Sep 28}, pages = {84}, abstract = {

BACKGROUND: Mitochondrial DNA copy number (mtDNA-CN) has been associated with a variety of aging-related diseases, including all-cause mortality. However, the mechanism by which mtDNA-CN influences disease is not currently understood. One such mechanism may be through regulation of nuclear gene expression via the modification of nuclear DNA (nDNA) methylation.

METHODS: To investigate this hypothesis, we assessed the relationship between mtDNA-CN and nDNA methylation in 2507 African American (AA) and European American (EA) participants from the Atherosclerosis Risk in Communities (ARIC) study. To validate our findings, we assayed an additional 2528 participants from the Cardiovascular Health Study (CHS) (N = 533) and Framingham Heart Study (FHS) (N = 1995). We further assessed the effect of experimental modification of mtDNA-CN through knockout of TFAM, a regulator of mtDNA replication, via CRISPR-Cas9.

RESULTS: Thirty-four independent CpGs were associated with mtDNA-CN at genome-wide significance (P < 5 {\texttimes} 10). Meta-analysis across all cohorts identified six mtDNA-CN-associated CpGs at genome-wide significance (P < 5 {\texttimes} 10). Additionally, over half of these CpGs were associated with phenotypes known to be associated with mtDNA-CN, including coronary heart disease, cardiovascular disease, and mortality. Experimental modification of mtDNA-CN demonstrated that modulation of mtDNA-CN results in changes in nDNA methylation and gene expression of specific CpGs and nearby transcripts. Strikingly, the "neuroactive ligand receptor interaction" KEGG pathway was found to be highly overrepresented in the ARIC cohort (P = 5.24 {\texttimes} 10), as well as the TFAM knockout methylation (P =~4.41 {\texttimes} 10) and expression (P =~4.30 {\texttimes} 10) studies.

CONCLUSIONS: These results demonstrate that changes in mtDNA-CN influence nDNA methylation at specific loci and result in differential expression of specific genes that may impact human health and disease via altered cell signaling.

}, issn = {1756-994X}, doi = {10.1186/s13073-020-00778-7}, author = {Castellani, Christina A and Longchamps, Ryan J and Sumpter, Jason A and Newcomb, Charles E and Lane, John A and Grove, Megan L and Bressler, Jan and Brody, Jennifer A and Floyd, James S and Bartz, Traci M and Taylor, Kent D and Wang, Penglong and Tin, Adrienne and Coresh, Josef and Pankow, James S and Fornage, Myriam and Guallar, Eliseo and O{\textquoteright}Rourke, Brian and Pankratz, Nathan and Liu, Chunyu and Levy, Daniel and Sotoodehnia, Nona and Boerwinkle, Eric and Arking, Dan E} } @article {8490, title = {The Polygenic and Monogenic Basis of Blood Traits and Diseases.}, journal = {Cell}, volume = {182}, year = {2020}, month = {2020 Sep 03}, pages = {1214-1231.e11}, abstract = {

Blood cells play essential roles in human health, underpinning physiological processes such as immunity, oxygen transport, and clotting, which when perturbed cause a significant global health burden. Here we integrate data from UK Biobank and a large-scale international collaborative effort, including data for 563,085 European ancestry participants, and discover 5,106 new genetic variants independently associated with 29 blood cell phenotypes covering a range of variation impacting hematopoiesis. We holistically characterize the genetic architecture of hematopoiesis, assess the relevance of the omnigenic model to blood cell phenotypes, delineate relevant hematopoietic cell states influenced by regulatory genetic variants and gene networks, identify novel splice-altering variants mediating the associations, and assess the polygenic prediction potential for blood traits and clinical disorders at the interface of complex and Mendelian genetics. These results show the power of large-scale blood cell trait GWAS to interrogate clinically meaningful variants across a wide allelic spectrum of human variation.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2020.08.008}, author = {Vuckovic, Dragana and Bao, Erik L and Akbari, Parsa and Lareau, Caleb A and Mousas, Abdou and Jiang, Tao and Chen, Ming-Huei and Raffield, Laura M and Tardaguila, Manuel and Huffman, Jennifer E and Ritchie, Scott C and Megy, Karyn and Ponstingl, Hannes and Penkett, Christopher J and Albers, Patrick K and Wigdor, Emilie M and Sakaue, Saori and Moscati, Arden and Manansala, Regina and Lo, Ken Sin and Qian, Huijun and Akiyama, Masato and Bartz, Traci M and Ben-Shlomo, Yoav and Beswick, Andrew and Bork-Jensen, Jette and Bottinger, Erwin P and Brody, Jennifer A and van Rooij, Frank J A and Chitrala, Kumaraswamy N and Wilson, Peter W F and Choquet, Helene and Danesh, John and Di Angelantonio, Emanuele and Dimou, Niki and Ding, Jingzhong and Elliott, Paul and Esko, T{\~o}nu and Evans, Michele K and Felix, Stephan B and Floyd, James S and Broer, Linda and Grarup, Niels and Guo, Michael H and Guo, Qi and Greinacher, Andreas and Haessler, Jeff and Hansen, Torben and Howson, Joanna M M and Huang, Wei and Jorgenson, Eric and Kacprowski, Tim and K{\"a}h{\"o}nen, Mika and Kamatani, Yoichiro and Kanai, Masahiro and Karthikeyan, Savita and Koskeridis, Fotios and Lange, Leslie A and Lehtim{\"a}ki, Terho and Linneberg, Allan and Liu, Yongmei and Lyytik{\"a}inen, Leo-Pekka and Manichaikul, Ani and Matsuda, Koichi and Mohlke, Karen L and Mononen, Nina and Murakami, Yoshinori and Nadkarni, Girish N and Nikus, Kjell and Pankratz, Nathan and Pedersen, Oluf and Preuss, Michael and Psaty, Bruce M and Raitakari, Olli T and Rich, Stephen S and Rodriguez, Benjamin A T and Rosen, Jonathan D and Rotter, Jerome I and Schubert, Petra and Spracklen, Cassandra N and Surendran, Praveen and Tang, Hua and Tardif, Jean-Claude and Ghanbari, Mohsen and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Watkins, Nicholas A and Weiss, Stefan and Cai, Na and Kundu, Kousik and Watt, Stephen B and Walter, Klaudia and Zonderman, Alan B and Cho, Kelly and Li, Yun and Loos, Ruth J F and Knight, Julian C and Georges, Michel and Stegle, Oliver and Evangelou, Evangelos and Okada, Yukinori and Roberts, David J and Inouye, Michael and Johnson, Andrew D and Auer, Paul L and Astle, William J and Reiner, Alexander P and Butterworth, Adam S and Ouwehand, Willem H and Lettre, Guillaume and Sankaran, Vijay G and Soranzo, Nicole} } @article {8481, title = {Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations.}, journal = {Cell}, volume = {182}, year = {2020}, month = {2020 Sep 03}, pages = {1198-1213.e14}, abstract = {

Most loci identified by GWASs have been found in populations of European ancestry (EUR). In trans-ethnic meta-analyses for 15 hematological traits in 746,667 participants, including 184,535 non-EUR individuals, we identified 5,552 trait-variant associations at p~< 5~{\texttimes} 10, including 71 novel associations not found in EUR populations. We also identified 28 additional novel variants in ancestry-specific, non-EUR meta-analyses, including an IL7 missense variant in South Asians associated with lymphocyte count in~vivo and IL-7 secretion levels in~vitro. Fine-mapping prioritized variants annotated as functional and generated 95\% credible sets that were 30\% smaller when using the trans-ethnic as opposed to the EUR-only results. We explored the clinical significance and predictive value of trans-ethnic variants in multiple populations and compared genetic architecture and the effect of natural selection on these blood phenotypes between populations. Altogether, our results for hematological traits highlight the value of a more global representation of populations in genetic studies.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2020.06.045}, author = {Chen, Ming-Huei and Raffield, Laura M and Mousas, Abdou and Sakaue, Saori and Huffman, Jennifer E and Moscati, Arden and Trivedi, Bhavi and Jiang, Tao and Akbari, Parsa and Vuckovic, Dragana and Bao, Erik L and Zhong, Xue and Manansala, Regina and Laplante, V{\'e}ronique and Chen, Minhui and Lo, Ken Sin and Qian, Huijun and Lareau, Caleb A and Beaudoin, M{\'e}lissa and Hunt, Karen A and Akiyama, Masato and Bartz, Traci M and Ben-Shlomo, Yoav and Beswick, Andrew and Bork-Jensen, Jette and Bottinger, Erwin P and Brody, Jennifer A and van Rooij, Frank J A and Chitrala, Kumaraswamynaidu and Cho, Kelly and Choquet, Helene and Correa, Adolfo and Danesh, John and Di Angelantonio, Emanuele and Dimou, Niki and Ding, Jingzhong and Elliott, Paul and Esko, T{\~o}nu and Evans, Michele K and Floyd, James S and Broer, Linda and Grarup, Niels and Guo, Michael H and Greinacher, Andreas and Haessler, Jeff and Hansen, Torben and Howson, Joanna M M and Huang, Qin Qin and Huang, Wei and Jorgenson, Eric and Kacprowski, Tim and K{\"a}h{\"o}nen, Mika and Kamatani, Yoichiro and Kanai, Masahiro and Karthikeyan, Savita and Koskeridis, Fotis and Lange, Leslie A and Lehtim{\"a}ki, Terho and Lerch, Markus M and Linneberg, Allan and Liu, Yongmei and Lyytik{\"a}inen, Leo-Pekka and Manichaikul, Ani and Martin, Hilary C and Matsuda, Koichi and Mohlke, Karen L and Mononen, Nina and Murakami, Yoshinori and Nadkarni, Girish N and Nauck, Matthias and Nikus, Kjell and Ouwehand, Willem H and Pankratz, Nathan and Pedersen, Oluf and Preuss, Michael and Psaty, Bruce M and Raitakari, Olli T and Roberts, David J and Rich, Stephen S and Rodriguez, Benjamin A T and Rosen, Jonathan D and Rotter, Jerome I and Schubert, Petra and Spracklen, Cassandra N and Surendran, Praveen and Tang, Hua and Tardif, Jean-Claude and Trembath, Richard C and Ghanbari, Mohsen and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Watkins, Nicholas A and Zonderman, Alan B and Wilson, Peter W F and Li, Yun and Butterworth, Adam S and Gauchat, Jean-Fran{\c c}ois and Chiang, Charleston W K and Li, Bingshan and Loos, Ruth J F and Astle, William J and Evangelou, Evangelos and van Heel, David A and Sankaran, Vijay G and Okada, Yukinori and Soranzo, Nicole and Johnson, Andrew D and Reiner, Alexander P and Auer, Paul L and Lettre, Guillaume} } @article {9006, title = {Epigenome-wide association study of serum urate reveals insights into urate co-regulation and the SLC2A9 locus.}, journal = {Nat Commun}, volume = {12}, year = {2021}, month = {2021 12 09}, pages = {7173}, abstract = {

Elevated serum urate levels, a complex trait and major risk factor for incident gout, are~correlated with cardiometabolic traits via incompletely understood mechanisms. DNA methylation in whole blood captures genetic and environmental influences and is assessed in transethnic meta-analysis of epigenome-wide association studies (EWAS) of serum urate (discovery, n = 12,474, replication, n = 5522). The 100 replicated, epigenome-wide significant (p < 1.1E-7) CpGs explain 11.6\% of the serum urate variance. At SLC2A9, the serum urate locus with the largest effect in genome-wide association studies (GWAS), five CpGs are associated with SLC2A9 gene expression. Four CpGs at SLC2A9 have significant causal effects on serum urate levels and/or gout, and two of these partly mediate the effects of urate-associated GWAS variants. In other genes, including SLC7A11 and PHGDH, 17 urate-associated CpGs are associated with conditions defining metabolic syndrome, suggesting that these CpGs may represent a blood DNA methylation signature of cardiometabolic risk factors. This study demonstrates that EWAS can provide new insights into GWAS loci and the correlation of serum urate with other complex traits.

}, keywords = {Amino Acid Transport System y+, Cohort Studies, CpG Islands, DNA Methylation, Epigenome, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Glucose Transport Proteins, Facilitative, Gout, Humans, Male, Uric Acid}, issn = {2041-1723}, doi = {10.1038/s41467-021-27198-4}, author = {Tin, Adrienne and Schlosser, Pascal and Matias-Garcia, Pamela R and Thio, Chris H L and Joehanes, Roby and Liu, Hongbo and Yu, Zhi and Weihs, Antoine and Hoppmann, Anselm and Grundner-Culemann, Franziska and Min, Josine L and Kuhns, Victoria L Halperin and Adeyemo, Adebowale A and Agyemang, Charles and Arnl{\"o}v, Johan and Aziz, Nasir A and Baccarelli, Andrea and Bochud, Murielle and Brenner, Hermann and Bressler, Jan and Breteler, Monique M B and Carmeli, Cristian and Chaker, Layal and Coresh, Josef and Corre, Tanguy and Correa, Adolfo and Cox, Simon R and Delgado, Graciela E and Eckardt, Kai-Uwe and Ekici, Arif B and Endlich, Karlhans and Floyd, James S and Fraszczyk, Eliza and Gao, Xu and G{\`a}o, Xin and Gelber, Allan C and Ghanbari, Mohsen and Ghasemi, Sahar and Gieger, Christian and Greenland, Philip and Grove, Megan L and Harris, Sarah E and Hemani, Gibran and Henneman, Peter and Herder, Christian and Horvath, Steve and Hou, Lifang and Hurme, Mikko A and Hwang, Shih-Jen and Kardia, Sharon L R and Kasela, Silva and Kleber, Marcus E and Koenig, Wolfgang and Kooner, Jaspal S and Kronenberg, Florian and Kuhnel, Brigitte and Ladd-Acosta, Christine and Lehtim{\"a}ki, Terho and Lind, Lars and Liu, Dan and Lloyd-Jones, Donald M and Lorkowski, Stefan and Lu, Ake T and Marioni, Riccardo E and M{\"a}rz, Winfried and McCartney, Daniel L and Meeks, Karlijn A C and Milani, Lili and Mishra, Pashupati P and Nauck, Matthias and Nowak, Christoph and Peters, Annette and Prokisch, Holger and Psaty, Bruce M and Raitakari, Olli T and Ratliff, Scott M and Reiner, Alex P and Sch{\"o}ttker, Ben and Schwartz, Joel and Sedaghat, Sanaz and Smith, Jennifer A and Sotoodehnia, Nona and Stocker, Hannah R and Stringhini, Silvia and Sundstr{\"o}m, Johan and Swenson, Brenton R and van Meurs, Joyce B J and van Vliet-Ostaptchouk, Jana V and Venema, Andrea and V{\"o}lker, Uwe and Winkelmann, Juliane and Wolffenbuttel, Bruce H R and Zhao, Wei and Zheng, Yinan and Loh, Marie and Snieder, Harold and Waldenberger, Melanie and Levy, Daniel and Akilesh, Shreeram and Woodward, Owen M and Susztak, Katalin and Teumer, Alexander and K{\"o}ttgen, Anna} } @article {9002, title = {Meta-analyses identify DNA methylation associated with kidney function and damage.}, journal = {Nat Commun}, volume = {12}, year = {2021}, month = {2021 12 09}, pages = {7174}, abstract = {

Chronic kidney disease is a major public health burden. Elevated urinary albumin-to-creatinine ratio is a measure of kidney damage, and used to diagnose and stage chronic kidney disease. To extend the knowledge on regulatory mechanisms related to kidney function and disease, we conducted a blood-based epigenome-wide association study for estimated glomerular filtration rate (n = 33,605) and urinary albumin-to-creatinine ratio (n = 15,068) and detected 69 and seven CpG sites where DNA methylation was associated with the respective trait. The majority of these findings showed directionally consistent associations with the respective clinical outcomes chronic kidney disease and moderately increased albuminuria. Associations of DNA methylation with kidney function, such as CpGs at JAZF1, PELI1 and CHD2 were validated in kidney tissue. Methylation at PHRF1, LDB2, CSRNP1 and IRF5 indicated causal effects on kidney function. Enrichment analyses revealed pathways related to hemostasis and blood cell migration for estimated glomerular filtration rate, and immune cell activation and response for urinary albumin-to-creatinineratio-associated CpGs.

}, keywords = {Adult, Aged, CpG Islands, DNA Methylation, Female, Glomerular Filtration Rate, Humans, Interferon Regulatory Factors, Kidney, Kidney Function Tests, LIM Domain Proteins, Male, Membrane Proteins, Middle Aged, Renal Insufficiency, Chronic, Transcription Factors}, issn = {2041-1723}, doi = {10.1038/s41467-021-27234-3}, author = {Schlosser, Pascal and Tin, Adrienne and Matias-Garcia, Pamela R and Thio, Chris H L and Joehanes, Roby and Liu, Hongbo and Weihs, Antoine and Yu, Zhi and Hoppmann, Anselm and Grundner-Culemann, Franziska and Min, Josine L and Adeyemo, Adebowale A and Agyemang, Charles and Arnl{\"o}v, Johan and Aziz, Nasir A and Baccarelli, Andrea and Bochud, Murielle and Brenner, Hermann and Breteler, Monique M B and Carmeli, Cristian and Chaker, Layal and Chambers, John C and Cole, Shelley A and Coresh, Josef and Corre, Tanguy and Correa, Adolfo and Cox, Simon R and de Klein, Niek and Delgado, Graciela E and Domingo-Relloso, Arce and Eckardt, Kai-Uwe and Ekici, Arif B and Endlich, Karlhans and Evans, Kathryn L and Floyd, James S and Fornage, Myriam and Franke, Lude and Fraszczyk, Eliza and Gao, Xu and G{\`a}o, Xin and Ghanbari, Mohsen and Ghasemi, Sahar and Gieger, Christian and Greenland, Philip and Grove, Megan L and Harris, Sarah E and Hemani, Gibran and Henneman, Peter and Herder, Christian and Horvath, Steve and Hou, Lifang and Hurme, Mikko A and Hwang, Shih-Jen and Jarvelin, Marjo-Riitta and Kardia, Sharon L R and Kasela, Silva and Kleber, Marcus E and Koenig, Wolfgang and Kooner, Jaspal S and Kramer, Holly and Kronenberg, Florian and Kuhnel, Brigitte and Lehtim{\"a}ki, Terho and Lind, Lars and Liu, Dan and Liu, Yongmei and Lloyd-Jones, Donald M and Lohman, Kurt and Lorkowski, Stefan and Lu, Ake T and Marioni, Riccardo E and M{\"a}rz, Winfried and McCartney, Daniel L and Meeks, Karlijn A C and Milani, Lili and Mishra, Pashupati P and Nauck, Matthias and Navas-Acien, Ana and Nowak, Christoph and Peters, Annette and Prokisch, Holger and Psaty, Bruce M and Raitakari, Olli T and Ratliff, Scott M and Reiner, Alex P and Rosas, Sylvia E and Sch{\"o}ttker, Ben and Schwartz, Joel and Sedaghat, Sanaz and Smith, Jennifer A and Sotoodehnia, Nona and Stocker, Hannah R and Stringhini, Silvia and Sundstr{\"o}m, Johan and Swenson, Brenton R and Tellez-Plaza, Maria and van Meurs, Joyce B J and van Vliet-Ostaptchouk, Jana V and Venema, Andrea and Verweij, Niek and Walker, Rosie M and Wielscher, Matthias and Winkelmann, Juliane and Wolffenbuttel, Bruce H R and Zhao, Wei and Zheng, Yinan and Loh, Marie and Snieder, Harold and Levy, Daniel and Waldenberger, Melanie and Susztak, Katalin and K{\"o}ttgen, Anna and Teumer, Alexander} } @article {9175, title = {Association of immune cell subsets with incident heart failure in two population-based cohorts.}, journal = {ESC Heart Fail}, year = {2022}, month = {2022 Sep 12}, abstract = {

AIMS: Circulating inflammatory markers are associated with incident heart failure (HF), but prospective data on associations of immune cell subsets with incident HF are lacking. We determined the associations of immune cell subsets with incident HF as well as HF subtypes [with reduced ejection fraction (HFrEF) and preserved ejection fraction (HFpEF)].

METHODS AND RESULTS: Peripheral blood immune cell subsets were measured in adults from the Multi-Ethnic Study of Atherosclerosis (MESA) and Cardiovascular Health Study (CHS). Cox proportional hazard models adjusted for demographics, HF risk factors, and cytomegalovirus serostatus were used to evaluate the association of the immune cell subsets with incident HF. The average age of the MESA cohort at the time of immune cell measurements was 63.0~{\textpm}~10.4~years with 51\% women, and in the CHS cohort, it was 79.6~{\textpm}~4.4~years with 62\% women. In the meta-analysis of CHS and MESA, a higher proportion of CD4+ T helper (Th) 1 cells (per one standard deviation) was associated with a lower risk of incident HF [hazard ratio (HR) 0.91, (95\% CI 0.83-0.99), P~=~0.03]. Specifically, higher proportion of CD4+ Th1 cells was significantly associated with a lower risk of HFrEF [HR 0.73, (95\% CI 0.62-0.85), <0.001] after correction for multiple testing. No association was observed with HFpEF. No other cell subsets were associated with incident HF.

CONCLUSIONS: We observed that higher proportions of CD4+ Th1 cells were associated with a lower risk of incident HFrEF in two distinct population-based cohorts, with similar effect sizes in both cohorts demonstrating replicability. Although unexpected, the consistency of this finding across cohorts merits further investigation.

}, issn = {2055-5822}, doi = {10.1002/ehf2.14140}, author = {Sinha, Arjun and Sitlani, Colleen M and Doyle, Margaret F and Fohner, Alison E and B{\r u}zkov{\'a}, Petra and Floyd, James S and Huber, Sally A and Olson, Nels C and Njoroge, Joyce N and Kizer, Jorge R and Delaney, Joseph A and Shah, Sanjiv S and Tracy, Russell P and Psaty, Bruce and Feinstein, Matthew} } @article {9247, title = {Immune cell subpopulations as risk factors for atrial fibrillation: The Cardiovascular Health Study and Multi-Ethnic Study of Atherosclerosis.}, journal = {Heart Rhythm}, year = {2022}, month = {2022 Oct 18}, issn = {1556-3871}, doi = {10.1016/j.hrthm.2022.10.012}, author = {Floyd, James S and Sitlani, Colleen M and Doyle, Margaret F and Feinstein, Matthew J and Olson, Nels C and Heckbert, Susan R and Huber, Sally A and Tracy, Russell P and Psaty, Bruce M and Delaney, Joseph A C} } @article {9104, title = {Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation.}, journal = {Nat Genet}, volume = {54}, year = {2022}, month = {2022 May}, pages = {560-572}, abstract = {

We assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9\% non-European descent) through the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium. Multi-ancestry GWAS meta-analysis identified 237 loci attaining stringent genome-wide significance (P < 5 {\texttimes} 10), which were delineated to 338 distinct association signals. Fine-mapping of these signals was enhanced by the increased sample size and expanded population diversity of the multi-ancestry meta-analysis, which localized 54.4\% of T2D associations to a single variant with >50\% posterior probability. This improved fine-mapping enabled systematic assessment of candidate causal genes and molecular mechanisms through which T2D associations are mediated, laying the foundations for functional investigations. Multi-ancestry genetic risk scores enhanced transferability of T2D prediction across diverse populations. Our study provides a step toward more effective clinical translation of T2D GWAS to improve global health for all, irrespective of genetic background.

}, keywords = {Diabetes Mellitus, Type 2, Ethnicity, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1546-1718}, doi = {10.1038/s41588-022-01058-3}, author = {Mahajan, Anubha and Spracklen, Cassandra N and Zhang, Weihua and Ng, Maggie C Y and Petty, Lauren E and Kitajima, Hidetoshi and Yu, Grace Z and R{\"u}eger, Sina and Speidel, Leo and Kim, Young Jin and Horikoshi, Momoko and Mercader, Josep M and Taliun, Daniel and Moon, Sanghoon and Kwak, Soo-Heon and Robertson, Neil R and Rayner, Nigel W and Loh, Marie and Kim, Bong-Jo and Chiou, Joshua and Miguel-Escalada, Irene and Della Briotta Parolo, Pietro and Lin, Kuang and Bragg, Fiona and Preuss, Michael H and Takeuchi, Fumihiko and Nano, Jana and Guo, Xiuqing and Lamri, Amel and Nakatochi, Masahiro and Scott, Robert A and Lee, Jung-Jin and Huerta-Chagoya, Alicia and Graff, Mariaelisa and Chai, Jin-Fang and Parra, Esteban J and Yao, Jie and Bielak, Lawrence F and Tabara, Yasuharu and Hai, Yang and Steinthorsdottir, Valgerdur and Cook, James P and Kals, Mart and Grarup, Niels and Schmidt, Ellen M and Pan, Ian and Sofer, Tamar and Wuttke, Matthias and Sarnowski, Chloe and Gieger, Christian and Nousome, Darryl and Trompet, Stella and Long, Jirong and Sun, Meng and Tong, Lin and Chen, Wei-Min and Ahmad, Meraj and Noordam, Raymond and Lim, Victor J Y and Tam, Claudia H T and Joo, Yoonjung Yoonie and Chen, Chien-Hsiun and Raffield, Laura M and Lecoeur, C{\'e}cile and Prins, Bram Peter and Nicolas, Aude and Yanek, Lisa R and Chen, Guanjie and Jensen, Richard A and Tajuddin, Salman and Kabagambe, Edmond K and An, Ping and Xiang, Anny H and Choi, Hyeok Sun and Cade, Brian E and Tan, Jingyi and Flanagan, Jack and Abaitua, Fernando and Adair, Linda S and Adeyemo, Adebowale and Aguilar-Salinas, Carlos A and Akiyama, Masato and Anand, Sonia S and Bertoni, Alain and Bian, Zheng and Bork-Jensen, Jette and Brandslund, Ivan and Brody, Jennifer A and Brummett, Chad M and Buchanan, Thomas A and Canouil, Micka{\"e}l and Chan, Juliana C N and Chang, Li-Ching and Chee, Miao-Li and Chen, Ji and Chen, Shyh-Huei and Chen, Yuan-Tsong and Chen, Zhengming and Chuang, Lee-Ming and Cushman, Mary and Das, Swapan K and de Silva, H Janaka and Dedoussis, George and Dimitrov, Latchezar and Doumatey, Ayo P and Du, Shufa and Duan, Qing and Eckardt, Kai-Uwe and Emery, Leslie S and Evans, Daniel S and Evans, Michele K and Fischer, Krista and Floyd, James S and Ford, Ian and Fornage, Myriam and Franco, Oscar H and Frayling, Timothy M and Freedman, Barry I and Fuchsberger, Christian and Genter, Pauline and Gerstein, Hertzel C and Giedraitis, Vilmantas and Gonz{\'a}lez-Villalpando, Clicerio and Gonzalez-Villalpando, Maria Elena and Goodarzi, Mark O and Gordon-Larsen, Penny and Gorkin, David and Gross, Myron and Guo, Yu and Hackinger, Sophie and Han, Sohee and Hattersley, Andrew T and Herder, Christian and Howard, Annie-Green and Hsueh, Willa and Huang, Mengna and Huang, Wei and Hung, Yi-Jen and Hwang, Mi Yeong and Hwu, Chii-Min and Ichihara, Sahoko and Ikram, Mohammad Arfan and Ingelsson, Martin and Islam, Md Tariqul and Isono, Masato and Jang, Hye-Mi and Jasmine, Farzana and Jiang, Guozhi and Jonas, Jost B and J{\o}rgensen, Marit E and J{\o}rgensen, Torben and Kamatani, Yoichiro and Kandeel, Fouad R and Kasturiratne, Anuradhani and Katsuya, Tomohiro and Kaur, Varinderpal and Kawaguchi, Takahisa and Keaton, Jacob M and Kho, Abel N and Khor, Chiea-Chuen and Kibriya, Muhammad G and Kim, Duk-Hwan and Kohara, Katsuhiko and Kriebel, Jennifer and Kronenberg, Florian and Kuusisto, Johanna and L{\"a}ll, Kristi and Lange, Leslie A and Lee, Myung-Shik and Lee, Nanette R and Leong, Aaron and Li, Liming and Li, Yun and Li-Gao, Ruifang and Ligthart, Symen and Lindgren, Cecilia M and Linneberg, Allan and Liu, Ching-Ti and Liu, Jianjun and Locke, Adam E and Louie, Tin and Luan, Jian{\textquoteright}an and Luk, Andrea O and Luo, Xi and Lv, Jun and Lyssenko, Valeriya and Mamakou, Vasiliki and Mani, K Radha and Meitinger, Thomas and Metspalu, Andres and Morris, Andrew D and Nadkarni, Girish N and Nadler, Jerry L and Nalls, Michael A and Nayak, Uma and Nongmaithem, Suraj S and Ntalla, Ioanna and Okada, Yukinori and Orozco, Lorena and Patel, Sanjay R and Pereira, Mark A and Peters, Annette and Pirie, Fraser J and Porneala, Bianca and Prasad, Gauri and Preissl, Sebastian and Rasmussen-Torvik, Laura J and Reiner, Alexander P and Roden, Michael and Rohde, Rebecca and Roll, Kathryn and Sabanayagam, Charumathi and Sander, Maike and Sandow, Kevin and Sattar, Naveed and Sch{\"o}nherr, Sebastian and Schurmann, Claudia and Shahriar, Mohammad and Shi, Jinxiu and Shin, Dong Mun and Shriner, Daniel and Smith, Jennifer A and So, Wing Yee and Stan{\v c}{\'a}kov{\'a}, Alena and Stilp, Adrienne M and Strauch, Konstantin and Suzuki, Ken and Takahashi, Atsushi and Taylor, Kent D and Thorand, Barbara and Thorleifsson, Gudmar and Thorsteinsdottir, Unnur and Tomlinson, Brian and Torres, Jason M and Tsai, Fuu-Jen and Tuomilehto, Jaakko and Tusi{\'e}-Luna, Teresa and Udler, Miriam S and Valladares-Salgado, Adan and van Dam, Rob M and van Klinken, Jan B and Varma, Rohit and Vujkovic, Marijana and Wacher-Rodarte, Niels and Wheeler, Eleanor and Whitsel, Eric A and Wickremasinghe, Ananda R and van Dijk, Ko Willems and Witte, Daniel R and Yajnik, Chittaranjan S and Yamamoto, Ken and Yamauchi, Toshimasa and Yengo, Loic and Yoon, Kyungheon and Yu, Canqing and Yuan, Jian-Min and Yusuf, Salim and Zhang, Liang and Zheng, Wei and Raffel, Leslie J and Igase, Michiya and Ipp, Eli and Redline, Susan and Cho, Yoon Shin and Lind, Lars and Province, Michael A and Hanis, Craig L and Peyser, Patricia A and Ingelsson, Erik and Zonderman, Alan B and Psaty, Bruce M and Wang, Ya-Xing and Rotimi, Charles N and Becker, Diane M and Matsuda, Fumihiko and Liu, Yongmei and Zeggini, Eleftheria and Yokota, Mitsuhiro and Rich, Stephen S and Kooperberg, Charles and Pankow, James S and Engert, James C and Chen, Yii-Der Ida and Froguel, Philippe and Wilson, James G and Sheu, Wayne H H and Kardia, Sharon L R and Wu, Jer-Yuarn and Hayes, M Geoffrey and Ma, Ronald C W and Wong, Tien-Yin and Groop, Leif and Mook-Kanamori, Dennis O and Chandak, Giriraj R and Collins, Francis S and Bharadwaj, Dwaipayan and Par{\'e}, Guillaume and Sale, Mich{\`e}le M and Ahsan, Habibul and Motala, Ayesha A and Shu, Xiao-Ou and Park, Kyong-Soo and Jukema, J Wouter and Cruz, Miguel and McKean-Cowdin, Roberta and Grallert, Harald and Cheng, Ching-Yu and Bottinger, Erwin P and Dehghan, Abbas and Tai, E-Shyong and Dupuis, Jos{\'e}e and Kato, Norihiro and Laakso, Markku and K{\"o}ttgen, Anna and Koh, Woon-Puay and Palmer, Colin N A and Liu, Simin and Abecasis, Goncalo and Kooner, Jaspal S and Loos, Ruth J F and North, Kari E and Haiman, Christopher A and Florez, Jose C and Saleheen, Danish and Hansen, Torben and Pedersen, Oluf and M{\"a}gi, Reedik and Langenberg, Claudia and Wareham, Nicholas J and Maeda, Shiro and Kadowaki, Takashi and Lee, Juyoung and Millwood, Iona Y and Walters, Robin G and Stefansson, Kari and Myers, Simon R and Ferrer, Jorge and Gaulton, Kyle J and Meigs, James B and Mohlke, Karen L and Gloyn, Anna L and Bowden, Donald W and Below, Jennifer E and Chambers, John C and Sim, Xueling and Boehnke, Michael and Rotter, Jerome I and McCarthy, Mark I and Morris, Andrew P} } @article {9086, title = {Proteomics and Population Biology in the Cardiovascular Health Study (CHS): design of a study with mentored access and active data sharing.}, journal = {Eur J Epidemiol}, year = {2022}, month = {2022 Jul 05}, abstract = {

BACKGROUND: In the last decade, genomic studies have identified and replicated thousands of genetic associations with measures of health and disease and contributed to the understanding of the etiology of a variety of health conditions. Proteins are key biomarkers in clinical medicine and often drug-therapy targets. Like genomics, proteomics can advance our understanding of biology.

METHODS AND RESULTS: In the setting of the Cardiovascular Health Study (CHS), a cohort study of older adults, an aptamer-based method that has high sensitivity for low-abundance proteins was used to assay 4979 proteins in frozen, stored plasma from 3188 participants (61\% women, mean age 74~years). CHS provides active support, including central analysis, for seven phenotype-specific working groups (WGs). Each CHS WG is led by one or two senior investigators and includes 10 to 20 early or mid-career scientists. In this setting of mentored access, the proteomic data and analytic methods are widely shared with the WGs and investigators so that they may evaluate associations between baseline levels of circulating proteins and the incidence of a variety of health outcomes in prospective cohort analyses. We describe the design of CHS, the CHS Proteomics Study, characteristics of participants, quality control measures, and structural characteristics of the data provided to CHS WGs. We additionally highlight plans for validation and replication of novel proteomic associations.

CONCLUSION: The CHS Proteomics Study offers an opportunity for collaborative data sharing to improve our understanding of the etiology of a variety of health conditions in older adults.

}, issn = {1573-7284}, doi = {10.1007/s10654-022-00888-z}, author = {Austin, Thomas R and McHugh, Caitlin P and Brody, Jennifer A and Bis, Joshua C and Sitlani, Colleen M and Bartz, Traci M and Biggs, Mary L and Bansal, Nisha and B{\r u}zkov{\'a}, Petra and Carr, Steven A and deFilippi, Christopher R and Elkind, Mitchell S V and Fink, Howard A and Floyd, James S and Fohner, Alison E and Gerszten, Robert E and Heckbert, Susan R and Katz, Daniel H and Kizer, Jorge R and Lemaitre, Rozenn N and Longstreth, W T and McKnight, Barbara and Mei, Hao and Mukamal, Kenneth J and Newman, Anne B and Ngo, Debby and Odden, Michelle C and Vasan, Ramachandran S and Shojaie, Ali and Simon, Noah and Smith, George Davey and Davies, Neil M and Siscovick, David S and Sotoodehnia, Nona and Tracy, Russell P and Wiggins, Kerri L and Zheng, Jie and Psaty, Bruce M} } @article {9158, title = {Whole genome sequence association analysis of fasting glucose and fasting insulin levels in diverse cohorts from the NHLBI TOPMed program.}, journal = {Commun Biol}, volume = {5}, year = {2022}, month = {2022 07 28}, pages = {756}, abstract = {

The genetic determinants of fasting glucose (FG) and fasting insulin (FI) have been studied mostly through genome arrays, resulting in over 100 associated variants. We extended this work with high-coverage whole genome sequencing analyses from fifteen cohorts in NHLBI{\textquoteright}s Trans-Omics for Precision Medicine (TOPMed) program. Over 23,000 non-diabetic individuals from five race-ethnicities/populations (African, Asian, European, Hispanic and Samoan) were included. Eight variants were significantly associated with FG or FI across previously identified regions MTNR1B, G6PC2, GCK, GCKR and FOXA2. We additionally characterize suggestive associations with FG or FI near previously identified SLC30A8, TCF7L2, and ADCY5 regions as well as APOB, PTPRT, and ROBO1. Functional annotation resources including the Diabetes Epigenome Atlas were compiled for each signal (chromatin states, annotation principal components, and others) to elucidate variant-to-function hypotheses. We provide a catalog of nucleotide-resolution genomic variation spanning intergenic and intronic regions creating a foundation for future sequencing-based investigations of glycemic traits.

}, keywords = {Diabetes Mellitus, Type 2, Fasting, Glucose, Humans, Insulin, National Heart, Lung, and Blood Institute (U.S.), Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Precision Medicine, Receptors, Immunologic, United States}, issn = {2399-3642}, doi = {10.1038/s42003-022-03702-4}, author = {DiCorpo, Daniel and Gaynor, Sheila M and Russell, Emily M and Westerman, Kenneth E and Raffield, Laura M and Majarian, Timothy D and Wu, Peitao and Sarnowski, Chloe and Highland, Heather M and Jackson, Anne and Hasbani, Natalie R and de Vries, Paul S and Brody, Jennifer A and Hidalgo, Bertha and Guo, Xiuqing and Perry, James A and O{\textquoteright}Connell, Jeffrey R and Lent, Samantha and Montasser, May E and Cade, Brian E and Jain, Deepti and Wang, Heming and D{\textquoteright}Oliveira Albanus, Ricardo and Varshney, Arushi and Yanek, Lisa R and Lange, Leslie and Palmer, Nicholette D and Almeida, Marcio and Peralta, Juan M and Aslibekyan, Stella and Baldridge, Abigail S and Bertoni, Alain G and Bielak, Lawrence F and Chen, Chung-Shiuan and Chen, Yii-Der Ida and Choi, Won Jung and Goodarzi, Mark O and Floyd, James S and Irvin, Marguerite R and Kalyani, Rita R and Kelly, Tanika N and Lee, Seonwook and Liu, Ching-Ti and Loesch, Douglas and Manson, JoAnn E and Minster, Ryan L and Naseri, Take and Pankow, James S and Rasmussen-Torvik, Laura J and Reiner, Alexander P and Reupena, Muagututi{\textquoteright}a Sefuiva and Selvin, Elizabeth and Smith, Jennifer A and Weeks, Daniel E and Xu, Huichun and Yao, Jie and Zhao, Wei and Parker, Stephen and Alonso, Alvaro and Arnett, Donna K and Blangero, John and Boerwinkle, Eric and Correa, Adolfo and Cupples, L Adrienne and Curran, Joanne E and Duggirala, Ravindranath and He, Jiang and Heckbert, Susan R and Kardia, Sharon L R and Kim, Ryan W and Kooperberg, Charles and Liu, Simin and Mathias, Rasika A and McGarvey, Stephen T and Mitchell, Braxton D and Morrison, Alanna C and Peyser, Patricia A and Psaty, Bruce M and Redline, Susan and Shuldiner, Alan R and Taylor, Kent D and Vasan, Ramachandran S and Viaud-Martinez, Karine A and Florez, Jose C and Wilson, James G and Sladek, Robert and Rich, Stephen S and Rotter, Jerome I and Lin, Xihong and Dupuis, Jos{\'e}e and Meigs, James B and Wessel, Jennifer and Manning, Alisa K} } @article {9261, title = {Whole genome sequencing identifies structural variants contributing to hematologic traits in the NHLBI TOPMed program.}, journal = {Nat Commun}, volume = {13}, year = {2022}, month = {2022 Dec 08}, pages = {7592}, abstract = {

Genome-wide association studies have identified thousands of single nucleotide variants and small indels that contribute to variation in hematologic traits. While structural variants are known to cause rare blood or hematopoietic disorders, the genome-wide contribution of structural variants to quantitative blood cell trait variation is unknown. Here we utilized whole genome sequencing data in ancestrally diverse participants of the NHLBI Trans Omics for Precision Medicine program (N = 50,675) to detect structural variants associated with hematologic traits. Using single variant tests, we assessed the association of common and rare structural variants with red cell-, white cell-, and platelet-related quantitative traits and observed 21 independent signals (12 common and 9 rare) reaching genome-wide significance. The majority of these associations (N = 18) replicated in independent datasets. In genome-editing experiments, we provide evidence that a deletion associated with lower monocyte counts leads to disruption of an S1PR3 monocyte enhancer and decreased S1PR3 expression.

}, keywords = {Blood Cells, Genome-Wide Association Study, Humans, Whole Genome Sequencing}, issn = {2041-1723}, doi = {10.1038/s41467-022-35354-7}, author = {Wheeler, Marsha M and Stilp, Adrienne M and Rao, Shuquan and Halldorsson, Bjarni V and Beyter, Doruk and Wen, Jia and Mihkaylova, Anna V and McHugh, Caitlin P and Lane, John and Jiang, Min-Zhi and Raffield, Laura M and Jun, Goo and Sedlazeck, Fritz J and Metcalf, Ginger and Yao, Yao and Bis, Joshua B and Chami, Nathalie and de Vries, Paul S and Desai, Pinkal and Floyd, James S and Gao, Yan and Kammers, Kai and Kim, Wonji and Moon, Jee-Young and Ratan, Aakrosh and Yanek, Lisa R and Almasy, Laura and Becker, Lewis C and Blangero, John and Cho, Michael H and Curran, Joanne E and Fornage, Myriam and Kaplan, Robert C and Lewis, Joshua P and Loos, Ruth J F and Mitchell, Braxton D and Morrison, Alanna C and Preuss, Michael and Psaty, Bruce M and Rich, Stephen S and Rotter, Jerome I and Tang, Hua and Tracy, Russell P and Boerwinkle, Eric and Abecasis, Goncalo R and Blackwell, Thomas W and Smith, Albert V and Johnson, Andrew D and Mathias, Rasika A and Nickerson, Deborah A and Conomos, Matthew P and Li, Yun and {\TH}orsteinsdottir, Unnur and Magn{\'u}sson, Magn{\'u}s K and Stefansson, Kari and Pankratz, Nathan D and Bauer, Daniel E and Auer, Paul L and Reiner, Alex P} } @article {9388, title = {Association of Severe Hypercholesterolemia and Familial Hypercholesterolemia Genotype With Risk of Coronary Heart Disease.}, journal = {Circulation}, volume = {147}, year = {2023}, month = {2023 May 16}, pages = {1556-1559}, keywords = {Coronary Disease, Genotype, Humans, Hypercholesterolemia, Hyperlipoproteinemia Type II}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.123.064168}, author = {Zhang, Yiyi and Dron, Jacqueline S and Bellows, Brandon K and Khera, Amit V and Liu, Junxiu and Balte, Pallavi P and Oelsner, Elizabeth C and Amr, Sami Samir and Lebo, Matthew S and Nagy, Anna and Peloso, Gina M and Natarajan, Pradeep and Rotter, Jerome I and Willer, Cristen and Boerwinkle, Eric and Ballantyne, Christie M and Lutsey, Pamela L and Fornage, Myriam and Lloyd-Jones, Donald M and Hou, Lifang and Psaty, Bruce M and Bis, Joshua C and Floyd, James S and Vasan, Ramachandran S and Heard-Costa, Nancy L and Carson, April P and Hall, Michael E and Rich, Stephen S and Guo, Xiuqing and Kazi, Dhruv S and de Ferranti, Sarah D and Moran, Andrew E} } @article {9535, title = {Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci.}, journal = {Front Genet}, volume = {14}, year = {2023}, month = {2023}, pages = {1235337}, abstract = {

Educational attainment, widely used in epidemiologic studies as a surrogate for socioeconomic status, is a predictor of cardiovascular health outcomes. A two-stage genome-wide meta-analysis of low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol (HDL), and triglyceride (TG) levels was performed while accounting for gene-educational attainment interactions in up to 226,315 individuals from five population groups. We considered two educational attainment variables: "Some College" (yes/no, for any education beyond high school) and "Graduated College" (yes/no, for completing a 4-year college degree). Genome-wide significant ( < 5 {\texttimes} 10) and suggestive ( < 1 {\texttimes} 10) variants were identified in Stage 1 (in up to 108,784 individuals) through genome-wide analysis, and those variants were followed up in Stage 2 studies (in up to 117,531 individuals). In combined analysis of Stages 1 and 2, we identified 18 novel lipid loci (nine for LDL, seven for HDL, and two for TG) by two degree-of-freedom (2 DF) joint tests of main and interaction effects. Four loci showed significant interaction with educational attainment. Two loci were significant only in cross-population analyses. Several loci include genes with known or suggested roles in adipose (), brain (), and liver () biology, highlighting the potential importance of brain-adipose-liver communication in the regulation of lipid metabolism. An investigation of the potential druggability of genes in identified loci resulted in five gene targets shown to interact with drugs approved by the Food and Drug Administration, including genes with roles in adipose and brain tissue. Genome-wide interaction analysis of educational attainment identified novel lipid loci not previously detected by analyses limited to main genetic effects.

}, issn = {1664-8021}, doi = {10.3389/fgene.2023.1235337}, author = {de Las Fuentes, Lisa and Schwander, Karen L and Brown, Michael R and Bentley, Amy R and Winkler, Thomas W and Sung, Yun Ju and Munroe, Patricia B and Miller, Clint L and Aschard, Hugo and Aslibekyan, Stella and Bartz, Traci M and Bielak, Lawrence F and Chai, Jin Fang and Cheng, Ching-Yu and Dorajoo, Rajkumar and Feitosa, Mary F and Guo, Xiuqing and Hartwig, Fernando P and Horimoto, Andrea and Kolcic, Ivana and Lim, Elise and Liu, Yongmei and Manning, Alisa K and Marten, Jonathan and Musani, Solomon K and Noordam, Raymond and Padmanabhan, Sandosh and Rankinen, Tuomo and Richard, Melissa A and Ridker, Paul M and Smith, Albert V and Vojinovic, Dina and Zonderman, Alan B and Alver, Maris and Boissel, Mathilde and Christensen, Kaare and Freedman, Barry I and Gao, Chuan and Giulianini, Franco and Harris, Sarah E and He, Meian and Hsu, Fang-Chi and Kuhnel, Brigitte and Laguzzi, Federica and Li, Xiaoyin and Lyytik{\"a}inen, Leo-Pekka and Nolte, Ilja M and Poveda, Alaitz and Rauramaa, Rainer and Riaz, Muhammad and Robino, Antonietta and Sofer, Tamar and Takeuchi, Fumihiko and Tayo, Bamidele O and van der Most, Peter J and Verweij, Niek and Ware, Erin B and Weiss, Stefan and Wen, Wanqing and Yanek, Lisa R and Zhan, Yiqiang and Amin, Najaf and Arking, Dan E and Ballantyne, Christie and Boerwinkle, Eric and Brody, Jennifer A and Broeckel, Ulrich and Campbell, Archie and Canouil, Micka{\"e}l and Chai, Xiaoran and Chen, Yii-Der Ida and Chen, Xu and Chitrala, Kumaraswamy Naidu and Concas, Maria Pina and de Faire, Ulf and de Mutsert, Ren{\'e}e and de Silva, H Janaka and de Vries, Paul S and Do, Ahn and Faul, Jessica D and Fisher, Virginia and Floyd, James S and Forrester, Terrence and Friedlander, Yechiel and Girotto, Giorgia and Gu, C Charles and Hallmans, G{\"o}ran and Heikkinen, Sami and Heng, Chew-Kiat and Homuth, Georg and Hunt, Steven and Ikram, M Arfan and Jacobs, David R and Kavousi, Maryam and Khor, Chiea Chuen and Kilpel{\"a}inen, Tuomas O and Koh, Woon-Puay and Komulainen, Pirjo and Langefeld, Carl D and Liang, Jingjing and Liu, Kiang and Liu, Jianjun and Lohman, Kurt and M{\"a}gi, Reedik and Manichaikul, Ani W and McKenzie, Colin A and Meitinger, Thomas and Milaneschi, Yuri and Nauck, Matthias and Nelson, Christopher P and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Pereira, Alexandre C and Perls, Thomas and Peters, Annette and Polasek, Ozren and Raitakari, Olli T and Rice, Kenneth and Rice, Treva K and Rich, Stephen S and Sabanayagam, Charumathi and Schreiner, Pamela J and Shu, Xiao-Ou and Sidney, Stephen and Sims, Mario and Smith, Jennifer A and Starr, John M and Strauch, Konstantin and Tai, E Shyong and Taylor, Kent D and Tsai, Michael Y and Uitterlinden, Andr{\'e} G and van Heemst, Diana and Waldenberger, Melanie and Wang, Ya-Xing and Wei, Wen-Bin and Wilson, Gregory and Xuan, Deng and Yao, Jie and Yu, Caizheng and Yuan, Jian-Min and Zhao, Wei and Becker, Diane M and Bonnefond, Am{\'e}lie and Bowden, Donald W and Cooper, Richard S and Deary, Ian J and Divers, Jasmin and Esko, T{\~o}nu and Franks, Paul W and Froguel, Philippe and Gieger, Christian and Jonas, Jost B and Kato, Norihiro and Lakka, Timo A and Leander, Karin and Lehtim{\"a}ki, Terho and Magnusson, Patrik K E and North, Kari E and Ntalla, Ioanna and Penninx, Brenda and Samani, Nilesh J and Snieder, Harold and Spedicati, Beatrice and van der Harst, Pim and V{\"o}lzke, Henry and Wagenknecht, Lynne E and Weir, David R and Wojczynski, Mary K and Wu, Tangchun and Zheng, Wei and Zhu, Xiaofeng and Bouchard, Claude and Chasman, Daniel I and Evans, Michele K and Fox, Ervin R and Gudnason, Vilmundur and Hayward, Caroline and Horta, Bernardo L and Kardia, Sharon L R and Krieger, Jose Eduardo and Mook-Kanamori, Dennis O and Peyser, Patricia A and Province, Michael M and Psaty, Bruce M and Rudan, Igor and Sim, Xueling and Smith, Blair H and van Dam, Rob M and van Duijn, Cornelia M and Wong, Tien Yin and Arnett, Donna K and Rao, Dabeeru C and Gauderman, James and Liu, Ching-Ti and Morrison, Alanna C and Rotter, Jerome I and Fornage, Myriam} } @article {9385, title = {Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications.}, journal = {medRxiv}, year = {2023}, month = {2023 Mar 31}, abstract = {

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes. To characterise the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study (GWAS) data from 2,535,601 individuals (39.7\% non-European ancestry), including 428,452 T2D cases. We identify 1,289 independent association signals at genome-wide significance (P<5{\texttimes}10 ) that map to 611 loci, of which 145 loci are previously unreported. We define eight non-overlapping clusters of T2D signals characterised by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial, and enteroendocrine cells. We build cluster-specific partitioned genetic risk scores (GRS) in an additional 137,559 individuals of diverse ancestry, including 10,159 T2D cases, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned GRS are more strongly associated with coronary artery disease and end-stage diabetic nephropathy than an overall T2D GRS across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings demonstrate the value of integrating multi-ancestry GWAS with single-cell epigenomics to disentangle the aetiological heterogeneity driving the development and progression of T2D, which may offer a route to optimise global access to genetically-informed diabetes care.

}, doi = {10.1101/2023.03.31.23287839}, author = {Suzuki, Ken and Hatzikotoulas, Konstantinos and Southam, Lorraine and Taylor, Henry J and Yin, Xianyong and Lorenz, Kim M and Mandla, Ravi and Huerta-Chagoya, Alicia and Rayner, Nigel W and Bocher, Ozvan and Ana Luiza de, S V Arruda and Sonehara, Kyuto and Namba, Shinichi and Lee, Simon S K and Preuss, Michael H and Petty, Lauren E and Schroeder, Philip and Vanderwerff, Brett and Kals, Mart and Bragg, Fiona and Lin, Kuang and Guo, Xiuqing and Zhang, Weihua and Yao, Jie and Kim, Young Jin and Graff, Mariaelisa and Takeuchi, Fumihiko and Nano, Jana and Lamri, Amel and Nakatochi, Masahiro and Moon, Sanghoon and Scott, Robert A and Cook, James P and Lee, Jung-Jin and Pan, Ian and Taliun, Daniel and Parra, Esteban J and Chai, Jin-Fang and Bielak, Lawrence F and Tabara, Yasuharu and Hai, Yang and Thorleifsson, Gudmar and Grarup, Niels and Sofer, Tamar and Wuttke, Matthias and Sarnowski, Chloe and Gieger, Christian and Nousome, Darryl and Trompet, Stella and Kwak, Soo-Heon and Long, Jirong and Sun, Meng and Tong, Lin and Chen, Wei-Min and Nongmaithem, Suraj S and Noordam, Raymond and Lim, Victor J Y and Tam, Claudia H T and Joo, Yoonjung Yoonie and Chen, Chien-Hsiun and Raffield, Laura M and Prins, Bram Peter and Nicolas, Aude and Yanek, Lisa R and Chen, Guanjie and Brody, Jennifer A and Kabagambe, Edmond and An, Ping and Xiang, Anny H and Choi, Hyeok Sun and Cade, Brian E and Tan, Jingyi and Alaine Broadaway, K and Williamson, Alice and Kamali, Zoha and Cui, Jinrui and Adair, Linda S and Adeyemo, Adebowale and Aguilar-Salinas, Carlos A and Ahluwalia, Tarunveer S and Anand, Sonia S and Bertoni, Alain and Bork-Jensen, Jette and Brandslund, Ivan and Buchanan, Thomas A and Burant, Charles F and Butterworth, Adam S and Canouil, Micka{\"e}l and Chan, Juliana C N and Chang, Li-Ching and Chee, Miao-Li and Chen, Ji and Chen, Shyh-Huei and Chen, Yuan-Tsong and Chen, Zhengming and Chuang, Lee-Ming and Cushman, Mary and Danesh, John and Das, Swapan K and Janaka de Silva, H and Dedoussis, George and Dimitrov, Latchezar and Doumatey, Ayo P and Du, Shufa and Duan, Qing and Eckardt, Kai-Uwe and Emery, Leslie S and Evans, Daniel S and Evans, Michele K and Fischer, Krista and Floyd, James S and Ford, Ian and Franco, Oscar H and Frayling, Timothy M and Freedman, Barry I and Genter, Pauline and Gerstein, Hertzel C and Giedraitis, Vilmantas and Gonz{\'a}lez-Villalpando, Clicerio and Gonzalez-Villalpando, Maria Elena and Gordon-Larsen, Penny and Gross, Myron and Guare, Lindsay A and Hackinger, Sophie and Han, Sohee and Hattersley, Andrew T and Herder, Christian and Horikoshi, Momoko and Howard, Annie-Green and Hsueh, Willa and Huang, Mengna and Huang, Wei and Hung, Yi-Jen and Hwang, Mi Yeong and Hwu, Chii-Min and Ichihara, Sahoko and Ikram, Mohammad Arfan and Ingelsson, Martin and Islam, Md Tariqul and Isono, Masato and Jang, Hye-Mi and Jasmine, Farzana and Jiang, Guozhi and Jonas, Jost B and J{\o}rgensen, Torben and Kandeel, Fouad R and Kasturiratne, Anuradhani and Katsuya, Tomohiro and Kaur, Varinderpal and Kawaguchi, Takahisa and Keaton, Jacob M and Kho, Abel N and Khor, Chiea-Chuen and Kibriya, Muhammad G and Kim, Duk-Hwan and Kronenberg, Florian and Kuusisto, Johanna and L{\"a}ll, Kristi and Lange, Leslie A and Lee, Kyung Min and Lee, Myung-Shik and Lee, Nanette R and Leong, Aaron and Li, Liming and Li, Yun and Li-Gao, Ruifang and Lithgart, Symen and Lindgren, Cecilia M and Linneberg, Allan and Liu, Ching-Ti and Liu, Jianjun and Locke, Adam E and Louie, Tin and Luan, Jian{\textquoteright}an and Luk, Andrea O and Luo, Xi and Lv, Jun and Lynch, Julie A and Lyssenko, Valeriya and Maeda, Shiro and Mamakou, Vasiliki and Mansuri, Sohail Rafik and Matsuda, Koichi and Meitinger, Thomas and Metspalu, Andres and Mo, Huan and Morris, Andrew D and Nadler, Jerry L and Nalls, Michael A and Nayak, Uma and Ntalla, Ioanna and Okada, Yukinori and Orozco, Lorena and Patel, Sanjay R and Patil, Snehal and Pei, Pei and Pereira, Mark A and Peters, Annette and Pirie, Fraser J and Polikowsky, Hannah G and Porneala, Bianca and Prasad, Gauri and Rasmussen-Torvik, Laura J and Reiner, Alexander P and Roden, Michael and Rohde, Rebecca and Roll, Katheryn and Sabanayagam, Charumathi and Sandow, Kevin and Sankareswaran, Alagu and Sattar, Naveed and Sch{\"o}nherr, Sebastian and Shahriar, Mohammad and Shen, Botong and Shi, Jinxiu and Shin, Dong Mun and Shojima, Nobuhiro and Smith, Jennifer A and So, Wing Yee and Stan{\v c}{\'a}kov{\'a}, Alena and Steinthorsdottir, Valgerdur and Stilp, Adrienne M and Strauch, Konstantin and Taylor, Kent D and Thorand, Barbara and Thorsteinsdottir, Unnur and Tomlinson, Brian and Tran, Tam C and Tsai, Fuu-Jen and Tuomilehto, Jaakko and Tusi{\'e}-Luna, Teresa and Udler, Miriam S and Valladares-Salgado, Adan and van Dam, Rob M and van Klinken, Jan B and Varma, Rohit and Wacher-Rodarte, Niels and Wheeler, Eleanor and Wickremasinghe, Ananda R and van Dijk, Ko Willems and Witte, Daniel R and Yajnik, Chittaranjan S and Yamamoto, Ken and Yamamoto, Kenichi and Yoon, Kyungheon and Yu, Canqing and Yuan, Jian-Min and Yusuf, Salim and Zawistowski, Matthew and Zhang, Liang and Zheng, Wei and Project, Biobank Japan and BioBank, Penn Medicine and Center, Regeneron Genetics and Consortium, eMERGE and Raffel, Leslie J and Igase, Michiya and Ipp, Eli and Redline, Susan and Cho, Yoon Shin and Lind, Lars and Province, Michael A and Fornage, Myriam and Hanis, Craig L and Ingelsson, Erik and Zonderman, Alan B and Psaty, Bruce M and Wang, Ya-Xing and Rotimi, Charles N and Becker, Diane M and Matsuda, Fumihiko and Liu, Yongmei and Yokota, Mitsuhiro and Kardia, Sharon L R and Peyser, Patricia A and Pankow, James S and Engert, James C and Bonnefond, Am{\'e}lie and Froguel, Philippe and Wilson, James G and Sheu, Wayne H H and Wu, Jer-Yuarn and Geoffrey Hayes, M and Ma, Ronald C W and Wong, Tien-Yin and Mook-Kanamori, Dennis O and Tuomi, Tiinamaija and Chandak, Giriraj R and Collins, Francis S and Bharadwaj, Dwaipayan and Par{\'e}, Guillaume and Sale, Mich{\`e}le M and Ahsan, Habibul and Motala, Ayesha A and Shu, Xiao-Ou and Park, Kyong-Soo and Jukema, J Wouter and Cruz, Miguel and Chen, Yii-Der Ida and Rich, Stephen S and McKean-Cowdin, Roberta and Grallert, Harald and Cheng, Ching-Yu and Ghanbari, Mohsen and Tai, E-Shyong and Dupuis, Jos{\'e}e and Kato, Norihiro and Laakso, Markku and K{\"o}ttgen, Anna and Koh, Woon-Puay and Bowden, Donald W and Palmer, Colin N A and Kooner, Jaspal S and Kooperberg, Charles and Liu, Simin and North, Kari E and Saleheen, Danish and Hansen, Torben and Pedersen, Oluf and Wareham, Nicholas J and Lee, Juyoung and Kim, Bong-Jo and Millwood, Iona Y and Walters, Robin G and Stefansson, Kari and Goodarzi, Mark O and Mohlke, Karen L and Langenberg, Claudia and Haiman, Christopher A and Loos, Ruth J F and Florez, Jose C and Rader, Daniel J and Ritchie, Marylyn D and Z{\"o}llner, Sebastian and M{\"a}gi, Reedik and Denny, Joshua C and Yamauchi, Toshimasa and Kadowaki, Takashi and Chambers, John C and Ng, Maggie C Y and Sim, Xueling and Below, Jennifer E and Tsao, Philip S and Chang, Kyong-Mi and McCarthy, Mark I and Meigs, James B and Mahajan, Anubha and Spracklen, Cassandra N and Mercader, Josep M and Boehnke, Michael and Rotter, Jerome I and Vujkovic, Marijana and Voight, Benjamin F and Morris, Andrew P and Zeggini, Eleftheria} } @article {9331, title = {Plasma Proteomic Associations With Incident Ischemic Stroke in Older Adults: The Cardiovascular Health Study.}, journal = {Neurology}, year = {2023}, month = {2023 Apr 04}, abstract = {

BACKGROUND: Plasma proteomics may elucidate novel insights into the pathophysiology of ischemic stroke (IS), identify biomarkers of IS risk, and guide development of nascent prevention strategies. We evaluated the relationship between the plasma proteome and IS risk in the population-based Cardiovascular Health Study (CHS).

METHODS: Eligible CHS participants were free of prevalent stroke and underwent quantification of 1298 plasma proteins using the aptamer-based SOMAScan assay platform from the 1992-1993 study visit. Multivariable Cox proportional hazards regression was used to evaluate associations between a 1-standard deviation increase in the log-2 transformed estimated plasma protein concentrations and incident IS, adjusting for demographics, IS risk factors, and estimated glomerular filtration rate. For proteins independently associated with incident IS, a secondary stratified analysis evaluated associations in subgroups defined by sex and race. Exploratory analyses evaluated plasma proteomic associations with cardioembolic and non-cardioembolic IS as well as proteins associated with IS risk in participants with left atrial dysfunction but without atrial fibrillation.

RESULTS: Of 2983 eligible participants, the mean age was 74.3 ({\textpm} 4.8) years, 61.2\% were women, and 15.4\% were Black. Over a median follow-up of 12.6 years, 450 participants experienced an incident IS. N-terminal pro-brain natriuretic peptide (NTproBNP, adjusted HR 1.37, 95\% CI 1.23-1.53, P=2.08x10) and macrophage metalloelastase (MMP12, adjusted HR 1.30, 95\% CI 1.16-1.45, P=4.55x10) were independently associated with IS risk. These two associations were similar in men and women and in Black and non-Black participants. In exploratory analyses, NTproBNP was independently associated with incident cardioembolic IS, E-selectin with incident non-cardioembolic IS, and secreted frizzled-related protein 1 with IS risk in participants with left atrial dysfunction.

CONCLUSIONS: In a cohort of older adults, NTproBNP and MMP12 were independently associated with IS risk. We identified plasma proteomic determinants of incident cardioembolic and non-cardioembolic IS and found a novel protein associated with IS risk in those with left atrial dysfunction.

}, issn = {1526-632X}, doi = {10.1212/WNL.0000000000207242}, author = {Kalani, Rizwan and Bartz, Traci M and Psaty, Bruce M and Elkind, Mitchell S V and Floyd, James S and Gerszten, Robert E and Shojaie, Ali and Heckbert, Susan R and Bis, Joshua C and Austin, Thomas R and Tirschwell, David L and Delaney, Joseph A C and Longstreth, W T} } @article {9539, title = {A proteomic analysis of atrial fibrillation in a prospective longitudinal cohort (AGES-Reykjavik study).}, journal = {Europace}, volume = {25}, year = {2023}, month = {2023 Nov 02}, abstract = {

AIMS: Atrial fibrillation (AF) is associated with high risk of comorbidities and mortality. Our aim was to examine causal and predictive relationships between 4137 serum proteins and incident AF in the prospective population-based Age, Gene/Environment Susceptibility-Reykjavik (AGES-Reykjavik) study.

METHODS AND RESULTS: The study included 4765 participants, of whom 1172 developed AF. Cox proportional hazards regression models were fitted for 4137 baseline protein measurements adjusting for known risk factors. Protein associations were tested for replication in the Cardiovascular Health Study (CHS). Causal relationships were examined in a bidirectional, two-sample Mendelian randomization analysis. The time-dependent area under the receiver operating characteristic curve (AUC)-statistic was examined as protein levels and an AF-polygenic risk score (PRS) were added to clinical risk models. The proteomic signature of incident AF consisted of 76 proteins, of which 63 (83\%) were novel and 29 (38\%) were replicated in CHS. The signature included both N-terminal prohormone of brain natriuretic peptide (NT-proBNP)-dependent (e.g. CHST15, ATP1B1, and SVEP1) and independent components (e.g. ASPN, AKR1B, and LAMA1/LAMB1/LAMC1). Nine causal candidates were identified (TAGLN, WARS, CHST15, CHMP3, COL15A1, DUSP13, MANBA, QSOX2, and SRL). The reverse causal analysis suggested that most AF-associated proteins were affected by the genetic liability to AF. N-terminal prohormone of brain natriuretic peptide improved the prediction of incident AF events close to baseline with further improvements gained by the AF-PRS at all time points.

CONCLUSION: The AF proteomic signature includes biologically relevant proteins, some of which may be causal. It mainly reflects an NT-proBNP-dependent consequence of the genetic liability to AF. N-terminal prohormone of brain natriuretic peptide is a promising marker for incident AF in the short term, but risk assessment incorporating a PRS may improve long-term risk assessment.

}, keywords = {Atrial Fibrillation, Biomarkers, Endosomal Sorting Complexes Required for Transport, Humans, Natriuretic Peptide, Brain, Oxidoreductases Acting on Sulfur Group Donors, Peptide Fragments, Prognosis, Prospective Studies, Proteomics, Risk Factors}, issn = {1532-2092}, doi = {10.1093/europace/euad320}, author = {Jonmundsson, Thorarinn and Steindorsdottir, Anna E and Austin, Thomas R and Frick, Elisabet A and Axelsson, Gisli T and Launer, Lenore and Psaty, Bruce M and Loureiro, Joseph and Orth, Anthony P and Aspelund, Thor and Emilsson, Valur and Floyd, James S and Jennings, Lori and Gudnason, Vilmundur and Gudmundsdottir, Valborg} } @article {9418, title = {Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed Whole Genome Sequencing Study.}, journal = {medRxiv}, year = {2023}, month = {2023 Jun 29}, abstract = {

Long non-coding RNAs (lncRNAs) are known to perform important regulatory functions. Large-scale whole genome sequencing (WGS) studies and new statistical methods for variant set tests now provide an opportunity to assess the associations between rare variants in lncRNA genes and complex traits across the genome. In this study, we used high-coverage WGS from 66,329 participants of diverse ancestries with blood lipid levels (LDL-C, HDL-C, TC, and TG) in the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) program to investigate the role of lncRNAs in lipid variability. We aggregated rare variants for 165,375 lncRNA genes based on their genomic locations and conducted rare variant aggregate association tests using the STAAR (variant-Set Test for Association using Annotation infoRmation) framework. We performed STAAR conditional analysis adjusting for common variants in known lipid GWAS loci and rare coding variants in nearby protein coding genes. Our analyses revealed 83 rare lncRNA variant sets significantly associated with blood lipid levels, all of which were located in known lipid GWAS loci (in a {\textpm}500 kb window of a Global Lipids Genetics Consortium index variant). Notably, 61 out of 83 signals (73\%) were conditionally independent of common regulatory variations and rare protein coding variations at the same loci. We replicated 34 out of 61 (56\%) conditionally independent associations using the independent UK Biobank WGS data. Our results expand the genetic architecture of blood lipids to rare variants in lncRNA, implicating new therapeutic opportunities.

}, doi = {10.1101/2023.06.28.23291966}, author = {Wang, Yuxuan and Selvaraj, Margaret Sunitha and Li, Xihao and Li, Zilin and Holdcraft, Jacob A and Arnett, Donna K and Bis, Joshua C and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Cade, Brian E and Carlson, Jenna C and Carson, April P and Chen, Yii-Der Ida and Curran, Joanne E and de Vries, Paul S and Dutcher, Susan K and Ellinor, Patrick T and Floyd, James S and Fornage, Myriam and Freedman, Barry I and Gabriel, Stacey and Germer, Soren and Gibbs, Richard A and Guo, Xiuqing and He, Jiang and Heard-Costa, Nancy and Hildalgo, Bertha and Hou, Lifang and Irvin, Marguerite R and Joehanes, Roby and Kaplan, Robert C and Kardia, Sharon Lr and Kelly, Tanika N and Kim, Ryan and Kooperberg, Charles and Kral, Brian G and Levy, Daniel and Li, Changwei and Liu, Chunyu and Lloyd-Jone, Don and Loos, Ruth Jf and Mahaney, Michael C and Martin, Lisa W and Mathias, Rasika A and Minster, Ryan L and Mitchell, Braxton D and Montasser, May E and Morrison, Alanna C and Murabito, Joanne M and Naseri, Take and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Preuss, Michael H and Psaty, Bruce M and Raffield, Laura M and Rao, Dabeeru C and Redline, Susan and Reiner, Alexander P and Rich, Stephen S and Ruepena, Muagututi{\textquoteright}a Sefuiva and Sheu, Wayne H-H and Smith, Jennifer A and Smith, Albert and Tiwari, Hemant K and Tsai, Michael Y and Viaud-Martinez, Karine A and Wang, Zhe and Yanek, Lisa R and Zhao, Wei and Rotter, Jerome I and Lin, Xihong and Natarajan, Pradeep and Peloso, Gina M} } @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} } @article {9449, title = {Whole genome analysis of plasma fibrinogen reveals population-differentiated genetic regulators with putative liver roles.}, journal = {medRxiv}, year = {2023}, month = {2023 Jun 12}, abstract = {

UNLABELLED: Genetic studies have identified numerous regions associated with plasma fibrinogen levels in Europeans, yet missing heritability and limited inclusion of non-Europeans necessitates further studies with improved power and sensitivity. Compared with array-based genotyping, whole genome sequencing (WGS) data provides better coverage of the genome and better representation of non-European variants. To better understand the genetic landscape regulating plasma fibrinogen levels, we meta-analyzed WGS data from the NHLBI{\textquoteright}s Trans-Omics for Precision Medicine (TOPMed) program (n=32,572), with array-based genotype data from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium (n=131,340) imputed to the TOPMed or Haplotype Reference Consortium panel. We identified 18 loci that have not been identified in prior genetic studies of fibrinogen. Of these, four are driven by common variants of small effect with reported MAF at least 10\% higher in African populations. Three ( , and signals contain predicted deleterious missense variants. Two loci, and , each harbor two conditionally distinct, non-coding variants. The gene region encoding the protein chain subunits ( ), contains 7 distinct signals, including one novel signal driven by rs28577061, a variant common (MAF=0.180) in African reference panels but extremely rare (MAF=0.008) in Europeans. Through phenome-wide association studies in the VA Million Veteran Program, we found associations between fibrinogen polygenic risk scores and thrombotic and inflammatory disease phenotypes, including an association with gout. Our findings demonstrate the utility of WGS to augment genetic discovery in diverse populations and offer new insights for putative mechanisms of fibrinogen regulation.

KEY POINTS: Largest and most diverse genetic study of plasma fibrinogen identifies 54 regions (18 novel), housing 69 conditionally distinct variants (20 novel).Sufficient power achieved to identify signal driven by African population variant.Links to (1) liver enzyme, blood cell and lipid genetic signals, (2) liver regulatory elements, and (3) thrombotic and inflammatory disease.

}, doi = {10.1101/2023.06.07.23291095}, author = {Huffman, Jennifer E and Nicolas, Jayna and Hahn, Julie and Heath, Adam S and Raffield, Laura M and Yanek, Lisa R and Brody, Jennifer A and Thibord, Florian and Almasy, Laura and Bartz, Traci M and Bielak, Lawrence F and Bowler, Russell P and Carrasquilla, Germ{\'a}n D and Chasman, Daniel I and Chen, Ming-Huei and Emmert, David B and Ghanbari, Mohsen and Haessle, Jeffery and Hottenga, Jouke-Jan and Kleber, Marcus E and Le, Ngoc-Quynh and Lee, Jiwon and Lewis, Joshua P and Li-Gao, Ruifang and Luan, Jian{\textquoteright}an and Malmberg, Anni and Mangino, Massimo and Marioni, Riccardo E and Martinez-Perez, Angel and Pankratz, Nathan and Polasek, Ozren and Richmond, Anne and Rodriguez, Benjamin At and Rotter, Jerome I and Steri, Maristella and Suchon, Pierre and Trompet, Stella and Weiss, Stefan and Zare, Marjan and Auer, Paul and Cho, Michael H and Christofidou, Paraskevi and Davies, Gail and de Geus, Eco and Deleuze, Jean-Francois and Delgado, Graciela E and Ekunwe, Lynette and Faraday, Nauder and G{\"o}gele, Martin and Greinacher, Andreas and He, Gao and Howard, Tom and Joshi, Peter K and Kilpel{\"a}inen, Tuomas O and Lahti, Jari and Linneberg, Allan and Naitza, Silvia and Noordam, Raymond and Pa{\"u}ls-Verg{\'e}s, Ferran and Rich, Stephen S and Rosendaal, Frits R and Rudan, Igor and Ryan, Kathleen A and Souto, Juan Carlos and van Rooij, Frank Ja and Wang, Heming and Zhao, Wei and Becker, Lewis C and Beswick, Andrew and Brown, Michael R and Cade, Brian E and Campbell, Harry and Cho, Kelly and Crapo, James D and Curran, Joanne E and de Maat, Moniek Pm and Doyle, Margaret and Elliott, Paul and Floyd, James S and Fuchsberger, Christian and Grarup, Niels and Guo, Xiuqing and Harris, Sarah E and Hou, Lifang and Kolcic, Ivana and Kooperberg, Charles and Menni, Cristina and Nauck, Matthias and O{\textquoteright}Connell, Jeffrey R and Orr{\`u}, Valeria and Psaty, Bruce M and R{\"a}ikk{\"o}nen, Katri and Smith, Jennifer A and Soria, Jos{\'e} Manuel and Stott, David J and van Hylckama Vlieg, Astrid and Watkins, Hugh and Willemsen, Gonneke and Wilson, Peter and Ben-Shlomo, Yoav and Blangero, John and Boomsma, Dorret and Cox, Simon R and Dehghan, Abbas and Eriksson, Johan G and Fiorillo, Edoardo and Fornage, Myriam and Hansen, Torben and Hayward, Caroline and Ikram, M Arfan and Jukema, J Wouter and Kardia, Sharon Lr and Lange, Leslie A and M{\"a}rz, Winfried and Mathias, Rasika A and Mitchell, Braxton D and Mook-Kanamori, Dennis O and Morange, Pierre-Emmanuel and Pedersen, Oluf and Pramstaller, Peter P and Redline, Susan and Reiner, Alexander and Ridker, Paul M and Silverman, Edwin K and Spector, Tim D and V{\"o}lker, Uwe and Wareham, Nick and Wilson, James F and Yao, Jie and Tr{\'e}gou{\"e}t, David-Alexandre and Johnson, Andrew D and Wolberg, Alisa S and de Vries, Paul S and Sabater-Lleal, Maria and Morrison, Alanna C and Smith, Nicholas L} } @article {9581, title = {Whole genome sequence analysis of apparent treatment resistant hypertension status in participants from the Trans-Omics for Precision Medicine program.}, journal = {Front Genet}, volume = {14}, year = {2023}, month = {2023}, pages = {1278215}, abstract = {

Apparent treatment-resistant hypertension (aTRH) is characterized by the use of four or more antihypertensive (AHT) classes to achieve blood pressure (BP) control. In the current study, we conducted single-variant and gene-based analyses of aTRH among individuals from 12 Trans-Omics for Precision Medicine cohorts with whole-genome sequencing data. Cases were defined as individuals treated for hypertension (HTN) taking three different AHT classes, with average systolic BP >= 140 or diastolic BP >= 90~mmHg, or four or more medications regardless of BP ( = 1,705). A normotensive control group was defined as individuals with BP < 140/90~mmHg ( = 22,079), not on AHT medication. A second control group comprised individuals who were treatment responsive on one AHT medication with BP < 140/ 90~mmHg ( = 5,424). Logistic regression with kinship adjustment using the Scalable and Accurate Implementation of Generalized mixed models (SAIGE) was performed, adjusting for age, sex, and genetic ancestry. We assessed variants using SKAT-O in rare-variant analyses. Single-variant and gene-based tests were conducted in a pooled multi-ethnicity stratum, as well as self-reported ethnic/racial strata (European and African American). One variant in the known HTN locus, , was a top finding in the multi-ethnic analysis ( = 8.23E-07) for the normotensive control group [rs12476527, odds ratio (95\% confidence interval) = 0.80 (0.74-0.88)]. This variant was replicated in the Vanderbilt University Medical Center{\textquoteright}s DNA repository data. Aggregate gene-based signals included the genes and . Additional work validating these loci in larger, more diverse populations, is warranted to determine whether these regions influence the pathobiology of aTRH.

}, issn = {1664-8021}, doi = {10.3389/fgene.2023.1278215}, author = {Armstrong, Nicole D and Srinivasasainagendra, Vinodh and Ammous, Farah and Assimes, Themistocles L and Beitelshees, Amber L and Brody, Jennifer and Cade, Brian E and Ida Chen, Yii-Der and Chen, Han and de Vries, Paul S and Floyd, James S and Franceschini, Nora and Guo, Xiuqing and Hellwege, Jacklyn N and House, John S and Hwu, Chii-Min and Kardia, Sharon L R and Lange, Ethan M and Lange, Leslie A and McDonough, Caitrin W and Montasser, May E and O{\textquoteright}Connell, Jeffrey R and Shuey, Megan M and Sun, Xiao and Tanner, Rikki M and Wang, Zhe and Zhao, Wei and Carson, April P and Edwards, Todd L and Kelly, Tanika N and Kenny, Eimear E and Kooperberg, Charles and Loos, Ruth J F and Morrison, Alanna C and Motsinger-Reif, Alison and Psaty, Bruce M and Rao, Dabeeru C and Redline, Susan and Rich, Stephen S and Rotter, Jerome I and Smith, Jennifer A and Smith, Albert V and Irvin, Marguerite R and Arnett, Donna K} } @article {9620, title = {Familial Hypercholesterolemia Variant and Cardiovascular Risk in Individuals With Elevated Cholesterol.}, journal = {JAMA Cardiol}, year = {2024}, month = {2024 Jan 31}, abstract = {

IMPORTANCE: Familial hypercholesterolemia (FH) is a genetic disorder that often results in severely high low-density lipoprotein cholesterol (LDL-C) and high risk of premature coronary heart disease (CHD). However, the impact of FH variants on CHD risk among individuals with moderately elevated LDL-C is not well quantified.

OBJECTIVE: To assess CHD risk associated with FH variants among individuals with moderately (130-189 mg/dL) and severely (>=190 mg/dL) elevated LDL-C and to quantify excess CHD deaths attributable to FH variants in US adults.

DESIGN, SETTING, AND PARTICIPANTS: A total of 21 426 individuals without preexisting CHD from 6 US cohort studies (Atherosclerosis Risk in Communities study, Coronary Artery Risk Development in Young Adults study, Cardiovascular Health Study, Framingham Heart Study Offspring cohort, Jackson Heart Study, and Multi-Ethnic Study of Atherosclerosis) were included, 63 of whom had an FH variant. Data were collected from 1971 to 2018, and the median (IQR) follow-up was 18 (13-28) years. Data were analyzed from March to May 2023.

EXPOSURES: LDL-C, cumulative past LDL-C, FH variant status.

MAIN OUTCOMES AND MEASURES: Cox proportional hazards models estimated associations between FH variants and incident CHD. The Cardiovascular Disease Policy Model projected excess CHD deaths associated with FH variants in US adults.

RESULTS: Of the 21 426 individuals without preexisting CHD (mean [SD] age 52.1 [15.5] years; 12 041 [56.2\%] female), an FH variant was found in 22 individuals with moderately elevated LDL-C (0.3\%) and in 33 individuals with severely elevated LDL-C (2.5\%). The adjusted hazard ratios for incident CHD comparing those with and without FH variants were 2.9 (95\% CI, 1.4-6.0) and 2.6 (95\% CI, 1.4-4.9) among individuals with moderately and severely elevated LDL-C, respectively. The association between FH variants and CHD was slightly attenuated when further adjusting for baseline LDL-C level, whereas the association was no longer statistically significant after adjusting for cumulative past LDL-C exposure. Among US adults 20 years and older with no history of CHD and LDL-C 130 mg/dL or higher, more than 417 000 carry an FH variant and were projected to experience more than 12 000 excess CHD deaths in those with moderately elevated LDL-C and 15 000 in those with severely elevated LDL-C compared with individuals without an FH variant.

CONCLUSIONS AND RELEVANCE: In this pooled cohort study, the presence of FH variants was associated with a 2-fold higher CHD risk, even when LDL-C was only moderately elevated. The increased CHD risk appeared to be largely explained by the higher cumulative LDL-C exposure in individuals with an FH variant compared to those without. Further research is needed to assess the value of adding genetic testing to traditional phenotypic FH screening.

}, issn = {2380-6591}, doi = {10.1001/jamacardio.2023.5366}, author = {Zhang, Yiyi and Dron, Jacqueline S and Bellows, Brandon K and Khera, Amit V and Liu, Junxiu and Balte, Pallavi P and Oelsner, Elizabeth C and Amr, Sami Samir and Lebo, Matthew S and Nagy, Anna and Peloso, Gina M and Natarajan, Pradeep and Rotter, Jerome I and Willer, Cristen and Boerwinkle, Eric and Ballantyne, Christie M and Lutsey, Pamela L and Fornage, Myriam and Lloyd-Jones, Donald M and Hou, Lifang and Psaty, Bruce M and Bis, Joshua C and Floyd, James S and Vasan, Ramachandran S and Heard-Costa, Nancy L and Carson, April P and Hall, Michael E and Rich, Stephen S and Guo, Xiuqing and Kazi, Dhruv S and de Ferranti, Sarah D and Moran, Andrew E} } @article {9619, title = {Genetic drivers of heterogeneity in type 2 diabetes pathophysiology.}, journal = {Nature}, year = {2024}, month = {2024 Feb 19}, abstract = {

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7\% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 {\texttimes} 10) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.

}, issn = {1476-4687}, doi = {10.1038/s41586-024-07019-6}, author = {Suzuki, Ken and Hatzikotoulas, Konstantinos and Southam, Lorraine and Taylor, Henry J and Yin, Xianyong and Lorenz, Kim M and Mandla, Ravi and Huerta-Chagoya, Alicia and Melloni, Giorgio E M and Kanoni, Stavroula and Rayner, Nigel W and Bocher, Ozvan and Arruda, Ana Luiza and Sonehara, Kyuto and Namba, Shinichi and Lee, Simon S K and Preuss, Michael H and Petty, Lauren E and Schroeder, Philip and Vanderwerff, Brett and Kals, Mart and Bragg, Fiona and Lin, Kuang and Guo, Xiuqing and Zhang, Weihua and Yao, Jie and Kim, Young Jin and Graff, Mariaelisa and Takeuchi, Fumihiko and Nano, Jana and Lamri, Amel and Nakatochi, Masahiro and Moon, Sanghoon and Scott, Robert A and Cook, James P and Lee, Jung-Jin and Pan, Ian and Taliun, Daniel and Parra, Esteban J and Chai, Jin-Fang and Bielak, Lawrence F and Tabara, Yasuharu and Hai, Yang and Thorleifsson, Gudmar and Grarup, Niels and Sofer, Tamar and Wuttke, Matthias and Sarnowski, Chloe and Gieger, Christian and Nousome, Darryl and Trompet, Stella and Kwak, Soo-Heon and Long, Jirong and Sun, Meng and Tong, Lin and Chen, Wei-Min and Nongmaithem, Suraj S and Noordam, Raymond and Lim, Victor J Y and Tam, Claudia H T and Joo, Yoonjung Yoonie and Chen, Chien-Hsiun and Raffield, Laura M and Prins, Bram Peter and Nicolas, Aude and Yanek, Lisa R and Chen, Guanjie and Brody, Jennifer A and Kabagambe, Edmond and An, Ping and Xiang, Anny H and Choi, Hyeok Sun and Cade, Brian E and Tan, Jingyi and Broadaway, K Alaine and Williamson, Alice and Kamali, Zoha and Cui, Jinrui and Thangam, Manonanthini and Adair, Linda S and Adeyemo, Adebowale and Aguilar-Salinas, Carlos A and Ahluwalia, Tarunveer S and Anand, Sonia S and Bertoni, Alain and Bork-Jensen, Jette and Brandslund, Ivan and Buchanan, Thomas A and Burant, Charles F and Butterworth, Adam S and Canouil, Micka{\"e}l and Chan, Juliana C N and Chang, Li-Ching and Chee, Miao-Li and Chen, Ji and Chen, Shyh-Huei and Chen, Yuan-Tsong and Chen, Zhengming and Chuang, Lee-Ming and Cushman, Mary and Danesh, John and Das, Swapan K and de Silva, H Janaka and Dedoussis, George and Dimitrov, Latchezar and Doumatey, Ayo P and Du, Shufa and Duan, Qing and Eckardt, Kai-Uwe and Emery, Leslie S and Evans, Daniel S and Evans, Michele K and Fischer, Krista and Floyd, James S and Ford, Ian and Franco, Oscar H and Frayling, Timothy M and Freedman, Barry I and Genter, Pauline and Gerstein, Hertzel C and Giedraitis, Vilmantas and Gonz{\'a}lez-Villalpando, Clicerio and Gonzalez-Villalpando, Maria Elena and Gordon-Larsen, Penny and Gross, Myron and Guare, Lindsay A and Hackinger, Sophie and Hakaste, Liisa and Han, Sohee and Hattersley, Andrew T and Herder, Christian and Horikoshi, Momoko and Howard, Annie-Green and Hsueh, Willa and Huang, Mengna and Huang, Wei and Hung, Yi-Jen and Hwang, Mi Yeong and Hwu, Chii-Min and Ichihara, Sahoko and Ikram, Mohammad Arfan and Ingelsson, Martin and Islam, Md Tariqul and Isono, Masato and Jang, Hye-Mi and Jasmine, Farzana and Jiang, Guozhi and Jonas, Jost B and J{\o}rgensen, Torben and Kamanu, Frederick K and Kandeel, Fouad R and Kasturiratne, Anuradhani and Katsuya, Tomohiro and Kaur, Varinderpal and Kawaguchi, Takahisa and Keaton, Jacob M and Kho, Abel N and Khor, Chiea-Chuen and Kibriya, Muhammad G and Kim, Duk-Hwan and Kronenberg, Florian and Kuusisto, Johanna and L{\"a}ll, Kristi and Lange, Leslie A and Lee, Kyung Min and Lee, Myung-Shik and Lee, Nanette R and Leong, Aaron and Li, Liming and Li, Yun and Li-Gao, Ruifang and Ligthart, Symen and Lindgren, Cecilia M and Linneberg, Allan and Liu, Ching-Ti and Liu, Jianjun and Locke, Adam E and Louie, Tin and Luan, Jian{\textquoteright}an and Luk, Andrea O and Luo, Xi and Lv, Jun and Lynch, Julie A and Lyssenko, Valeriya and Maeda, Shiro and Mamakou, Vasiliki and Mansuri, Sohail Rafik and Matsuda, Koichi and Meitinger, Thomas and Melander, Olle and Metspalu, Andres and Mo, Huan and Morris, Andrew D and Moura, Filipe A and Nadler, Jerry L and Nalls, Michael A and Nayak, Uma and Ntalla, Ioanna and Okada, Yukinori and Orozco, Lorena and Patel, Sanjay R and Patil, Snehal and Pei, Pei and Pereira, Mark A and Peters, Annette and Pirie, Fraser J and Polikowsky, Hannah G and Porneala, Bianca and Prasad, Gauri and Rasmussen-Torvik, Laura J and Reiner, Alexander P and Roden, Michael and Rohde, Rebecca and Roll, Katheryn and Sabanayagam, Charumathi and Sandow, Kevin and Sankareswaran, Alagu and Sattar, Naveed and Sch{\"o}nherr, Sebastian and Shahriar, Mohammad and Shen, Botong and Shi, Jinxiu and Shin, Dong Mun and Shojima, Nobuhiro and Smith, Jennifer A and So, Wing Yee and Stan{\v c}{\'a}kov{\'a}, Alena and Steinthorsdottir, Valgerdur and Stilp, Adrienne M and Strauch, Konstantin and Taylor, Kent D and Thorand, Barbara and Thorsteinsdottir, Unnur and Tomlinson, Brian and Tran, Tam C and Tsai, Fuu-Jen and Tuomilehto, Jaakko and Tusi{\'e}-Luna, Teresa and Udler, Miriam S and Valladares-Salgado, Adan and van Dam, Rob M and van Klinken, Jan B and Varma, Rohit and Wacher-Rodarte, Niels and Wheeler, Eleanor and Wickremasinghe, Ananda R and van Dijk, Ko Willems and Witte, Daniel R and Yajnik, Chittaranjan S and Yamamoto, Ken and Yamamoto, Kenichi and Yoon, Kyungheon and Yu, Canqing and Yuan, Jian-Min and Yusuf, Salim and Zawistowski, Matthew and Zhang, Liang and Zheng, Wei and Raffel, Leslie J and Igase, Michiya and Ipp, Eli and Redline, Susan and Cho, Yoon Shin and Lind, Lars and Province, Michael A and Fornage, Myriam and Hanis, Craig L and Ingelsson, Erik and Zonderman, Alan B and Psaty, Bruce M and Wang, Ya-Xing and Rotimi, Charles N and Becker, Diane M and Matsuda, Fumihiko and Liu, Yongmei and Yokota, Mitsuhiro and Kardia, Sharon L R and Peyser, Patricia A and Pankow, James S and Engert, James C and Bonnefond, Am{\'e}lie and Froguel, Philippe and Wilson, James G and Sheu, Wayne H H and Wu, Jer-Yuarn and Hayes, M Geoffrey and Ma, Ronald C W and Wong, Tien-Yin and Mook-Kanamori, Dennis O and Tuomi, Tiinamaija and Chandak, Giriraj R and Collins, Francis S and Bharadwaj, Dwaipayan and Par{\'e}, Guillaume and Sale, Mich{\`e}le M and Ahsan, Habibul and Motala, Ayesha A and Shu, Xiao-Ou and Park, Kyong-Soo and Jukema, J Wouter and Cruz, Miguel and Chen, Yii-Der Ida and Rich, Stephen S and McKean-Cowdin, Roberta and Grallert, Harald and Cheng, Ching-Yu and Ghanbari, Mohsen and Tai, E-Shyong and Dupuis, Jos{\'e}e and Kato, Norihiro and Laakso, Markku and K{\"o}ttgen, Anna and Koh, Woon-Puay and Bowden, Donald W and Palmer, Colin N A and Kooner, Jaspal S and Kooperberg, Charles and Liu, Simin and North, Kari E and Saleheen, Danish and Hansen, Torben and Pedersen, Oluf and Wareham, Nicholas J and Lee, Juyoung and Kim, Bong-Jo and Millwood, Iona Y and Walters, Robin G and Stefansson, Kari and Ahlqvist, Emma and Goodarzi, Mark O and Mohlke, Karen L and Langenberg, Claudia and Haiman, Christopher A and Loos, Ruth J F and Florez, Jose C and Rader, Daniel J and Ritchie, Marylyn D and Z{\"o}llner, Sebastian and M{\"a}gi, Reedik and Marston, Nicholas A and Ruff, Christian T and van Heel, David A and Finer, Sarah and Denny, Joshua C and Yamauchi, Toshimasa and Kadowaki, Takashi and Chambers, John C and Ng, Maggie C Y and Sim, Xueling and Below, Jennifer E and Tsao, Philip S and Chang, Kyong-Mi and McCarthy, Mark I and Meigs, James B and Mahajan, Anubha and Spracklen, Cassandra N and Mercader, Josep M and Boehnke, Michael and Rotter, Jerome I and Vujkovic, Marijana and Voight, Benjamin F and Morris, Andrew P and Zeggini, Eleftheria} }