@article {1275, title = {Cerivastatin, genetic variants, and the risk of rhabdomyolysis.}, journal = {Pharmacogenet Genomics}, volume = {21}, year = {2011}, month = {2011 May}, pages = {280-8}, abstract = {

OBJECTIVE: The withdrawal of cerivastatin involved an uncommon but serious adverse reaction, rhabdomyolysis. The bimodal response, rhabdomyolysis in a small proportion of users, points to genetic factors as a potential cause. We conducted a case-control study to evaluate genetic markers for cerivastatin-associated rhabdomyolysis.

METHODS: This study had two components: a candidate gene study to evaluate variants in CYP2C8, UGT1A1, UGT1A3, and SLCO1B1; and a genome-wide association study to identify risk factors in other regions of the genome. A total of 185 rhabdomyolysis cases were frequency matched to statin-using controls from the Cardiovascular Health Study (n=374) and the Heart and Vascular Health Study (n=358). Validation relied on functional studies.

RESULTS: Permutation test results suggested an association between cerivastatin-associated rhabdomyolysis and variants in SLCO1B1 (P=0.002), but not variants in CYP2C8 (P=0.073) or UGTs (P=0.523). An additional copy of the minor allele of SLCO1B1 rs4149056 (p.Val174Ala) was associated with the risk of rhabdomyolysis (odds ratio: 1.89; 95\% confidence interval: 1.40-2.56). In transfected cells, this variant reduced cerivastatin transport by 40\% compared with the reference transporter (P<0.001). The genome-wide association study identified an intronic variant (rs2819742) in the ryanodine receptor 2 gene (RYR2) as significant (P=1.74E-07). An additional copy of the minor allele of the RYR2 variant was associated with a reduced risk of rhabdomyolysis (odds ratio: 0.48; 95\% confidence interval: 0.36-0.63).

CONCLUSION: We identified modest genetic risk factors for an extreme response to cerivastatin. Disabling genetic variants in the candidate genes were not responsible for the bimodal response to cerivastatin.

}, keywords = {Adult, Aged, Aged, 80 and over, Aryl Hydrocarbon Hydroxylases, Case-Control Studies, Cytochrome P-450 CYP2C8, Female, Genetic Variation, Genome-Wide Association Study, Glucuronosyltransferase, Humans, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Male, Middle Aged, Organic Anion Transporters, Polymorphism, Single Nucleotide, Pyridines, Rhabdomyolysis, Risk, Ryanodine Receptor Calcium Release Channel, Solute Carrier Organic Anion Transporter Family Member 1b1}, issn = {1744-6880}, doi = {10.1097/FPC.0b013e328343dd7d}, author = {Marciante, Kristin D and Durda, Jon P and Heckbert, Susan R and Lumley, Thomas and Rice, Ken and McKnight, Barbara and Totah, Rheem A and Tamraz, Bani and Kroetz, Deanna L and Fukushima, Hisayo and Kaspera, R{\"u}diger and Bis, Joshua C and Glazer, Nicole L and Li, Guo and Austin, Thomas R and Taylor, Kent D and Rotter, Jerome I and Jaquish, Cashell E and Kwok, Pui-Yan and Tracy, Russell P and Psaty, Bruce M} } @article {1359, title = {Association between chromosome 9p21 variants and the ankle-brachial index identified by a meta-analysis of 21 genome-wide association studies.}, journal = {Circ Cardiovasc Genet}, volume = {5}, year = {2012}, month = {2012 Feb 01}, pages = {100-12}, abstract = {

BACKGROUND: Genetic determinants of peripheral arterial disease (PAD) remain largely unknown. To identify genetic variants associated with the ankle-brachial index (ABI), a noninvasive measure of PAD, we conducted a meta-analysis of genome-wide association study data from 21 population-based cohorts.

METHODS AND RESULTS: Continuous ABI and PAD (ABI <=0.9) phenotypes adjusted for age and sex were examined. Each study conducted genotyping and imputed data to the ≈2.5 million single nucleotide polymorphisms (SNPs) in HapMap. Linear and logistic regression models were used to test each SNP for association with ABI and PAD using additive genetic models. Study-specific data were combined using fixed effects inverse variance weighted meta-analyses. There were a total of 41 692 participants of European ancestry (≈60\% women, mean ABI 1.02 to 1.19), including 3409 participants with PAD and with genome-wide association study data available. In the discovery meta-analysis, rs10757269 on chromosome 9 near CDKN2B had the strongest association with ABI (β=-0.006, P=2.46{\texttimes}10(-8)). We sought replication of the 6 strongest SNP associations in 5 population-based studies and 3 clinical samples (n=16 717). The association for rs10757269 strengthened in the combined discovery and replication analysis (P=2.65{\texttimes}10(-9)). No other SNP associations for ABI or PAD achieved genome-wide significance. However, 2 previously reported candidate genes for PAD and 1 SNP associated with coronary artery disease were associated with ABI: DAB21P (rs13290547, P=3.6{\texttimes}10(-5)), CYBA (rs3794624, P=6.3{\texttimes}10(-5)), and rs1122608 (LDLR, P=0.0026).

CONCLUSIONS: Genome-wide association studies in more than 40 000 individuals identified 1 genome wide significant association on chromosome 9p21 with ABI. Two candidate genes for PAD and 1 SNP for coronary artery disease are associated with ABI.

}, keywords = {Adult, Age Factors, Aged, Aged, 80 and over, Alleles, Ankle Brachial Index, Chromosomes, Human, Pair 9, Cohort Studies, Cyclin-Dependent Kinase Inhibitor p15, Female, Genome-Wide Association Study, Genotype, HapMap Project, Humans, Logistic Models, Male, Middle Aged, Peripheral Vascular Diseases, Phenotype, Polymorphism, Single Nucleotide, Risk Factors, Sex Factors}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.111.961292}, author = {Murabito, Joanne M and White, Charles C and Kavousi, Maryam and Sun, Yan V and Feitosa, Mary F and Nambi, Vijay and Lamina, Claudia and Schillert, Arne and Coassin, Stefan and Bis, Joshua C and Broer, Linda and Crawford, Dana C and Franceschini, Nora and Frikke-Schmidt, Ruth and Haun, Margot and Holewijn, Suzanne and Huffman, Jennifer E and Hwang, Shih-Jen and Kiechl, Stefan and Kollerits, Barbara and Montasser, May E and Nolte, Ilja M and Rudock, Megan E and Senft, Andrea and Teumer, Alexander and van der Harst, Pim and Vitart, Veronique and Waite, Lindsay L and Wood, Andrew R and Wassel, Christina L and Absher, Devin M and Allison, Matthew A and Amin, Najaf and Arnold, Alice and Asselbergs, Folkert W and Aulchenko, Yurii and Bandinelli, Stefania and Barbalic, Maja and Boban, Mladen and Brown-Gentry, Kristin and Couper, David J and Criqui, Michael H and Dehghan, Abbas and den Heijer, Martin and Dieplinger, Benjamin and Ding, Jingzhong and D{\"o}rr, Marcus and Espinola-Klein, Christine and Felix, Stephan B and Ferrucci, Luigi and Folsom, Aaron R and Fraedrich, Gustav and Gibson, Quince and Goodloe, Robert and Gunjaca, Grgo and Haltmayer, Meinhard and Heiss, Gerardo and Hofman, Albert and Kieback, Arne and Kiemeney, Lambertus A and Kolcic, Ivana and Kullo, Iftikhar J and Kritchevsky, Stephen B and Lackner, Karl J and Li, Xiaohui and Lieb, Wolfgang and Lohman, Kurt and Meisinger, Christa and Melzer, David and Mohler, Emile R and Mudnic, Ivana and Mueller, Thomas and Navis, Gerjan and Oberhollenzer, Friedrich and Olin, Jeffrey W and O{\textquoteright}Connell, Jeff and O{\textquoteright}Donnell, Christopher J and Palmas, Walter and Penninx, Brenda W and Petersmann, Astrid and Polasek, Ozren and Psaty, Bruce M and Rantner, Barbara and Rice, Ken and Rivadeneira, Fernando and Rotter, Jerome I and Seldenrijk, Adrie and Stadler, Marietta and Summerer, Monika and Tanaka, Toshiko and Tybjaerg-Hansen, Anne and Uitterlinden, Andr{\'e} G and van Gilst, Wiek H and Vermeulen, Sita H and Wild, Sarah H and Wild, Philipp S and Willeit, Johann and Zeller, Tanja and Zemunik, Tatijana and Zgaga, Lina and Assimes, Themistocles L and Blankenberg, Stefan and Boerwinkle, Eric and Campbell, Harry and Cooke, John P and de Graaf, Jacqueline and Herrington, David and Kardia, Sharon L R and Mitchell, Braxton D and Murray, Anna and M{\"u}nzel, Thomas and Newman, Anne B and Oostra, Ben A and Rudan, Igor and Shuldiner, Alan R and Snieder, Harold and van Duijn, Cornelia M and V{\"o}lker, Uwe and Wright, Alan F and Wichmann, H-Erich and Wilson, James F and Witteman, Jacqueline C M and Liu, Yongmei and Hayward, Caroline and Borecki, Ingrid B and Ziegler, Andreas and North, Kari E and Cupples, L Adrienne and Kronenberg, Florian} } @article {5857, title = {Association of genome-wide variation with highly sensitive cardiac troponin-T levels in European Americans and Blacks: a meta-analysis from atherosclerosis risk in communities and cardiovascular health studies.}, journal = {Circ Cardiovasc Genet}, volume = {6}, year = {2013}, month = {2013 Feb}, pages = {82-8}, abstract = {

BACKGROUND: High levels of cardiac troponin T, measured by a highly sensitive assay (hs-cTnT), are strongly associated with incident coronary heart disease and heart failure. To date, no large-scale genome-wide association study of hs-cTnT has been reported. We sought to identify novel genetic variants that are associated with hs-cTnT levels.

METHODS AND RESULTS: We performed a genome-wide association in 9491 European Americans and 2053 blacks free of coronary heart disease and heart failure from 2 prospective cohorts: the Atherosclerosis Risk in Communities Study and the Cardiovascular Health Study. Genome-wide association studies were conducted in each study and race stratum. Fixed-effect meta-analyses combined the results of linear regression from 2 cohorts within each race stratum and then across race strata to produce overall estimates and probability values. The meta-analysis identified a significant association at chromosome 8q13 (rs10091374; P=9.06{\texttimes}10(-9)) near the nuclear receptor coactivator 2 (NCOA2) gene. Overexpression of NCOA2 can be detected in myoblasts. An additional analysis using logistic regression and the clinically motivated 99th percentile cut point detected a significant association at 1q32 (rs12564445; P=4.73{\texttimes}10(-8)) in the gene TNNT2, which encodes the cardiac troponin T protein itself. The hs-cTnT-associated single-nucleotide polymorphisms were not associated with coronary heart disease in a large case-control study, but rs12564445 was significantly associated with incident heart failure in Atherosclerosis Risk in Communities Study European Americans (hazard ratio=1.16; P=0.004).

CONCLUSIONS: We identified 2 loci, near NCOA2 and in the TNNT2 gene, at which variation was significantly associated with hs-cTnT levels. Further use of the new assay should enable replication of these results.

}, keywords = {African Continental Ancestry Group, Atherosclerosis, European Continental Ancestry Group, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Nuclear Receptor Coactivator 2, Polymorphism, Single Nucleotide, Prospective Studies, Residence Characteristics, Risk Factors, Troponin T}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.112.963058}, author = {Yu, Bing and Barbalic, Maja and Brautbar, Ariel and Nambi, Vijay and Hoogeveen, Ron C and Tang, Weihong and Mosley, Thomas H and Rotter, Jerome I and deFilippi, Christopher R and O{\textquoteright}Donnell, Christopher J and Kathiresan, Sekar and Rice, Ken and Heckbert, Susan R and Ballantyne, Christie M and Psaty, Bruce M and Boerwinkle, Eric} } @article {6686, title = {Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility.}, journal = {Nat Commun}, volume = {6}, year = {2015}, month = {2015}, pages = {5897}, abstract = {

Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4\%) with lower FG (β=-0.09{\textpm}0.01 mmol l(-1), P=3.4 {\texttimes} 10(-12)), T2D risk (OR[95\%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07{\textpm}0.035 pmolinsulin mmolglucose(-1), P=0.048), but higher 2-h glucose (β=0.16{\textpm}0.05 mmol l(-1), P=4.3 {\texttimes} 10(-4)). We identify a gene-based association with FG at G6PC2 (pSKAT=6.8 {\texttimes} 10(-6)) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20\%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02{\textpm}0.004 mmol l(-1), P=1.3 {\texttimes} 10(-8)). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.

}, keywords = {African Continental Ancestry Group, Blood Glucose, Diabetes Mellitus, Type 2, European Continental Ancestry Group, Exome, Fasting, Genetic Association Studies, Genetic Loci, Genetic Predisposition to Disease, Genetic Variation, Glucagon-Like Peptide-1 Receptor, Glucose-6-Phosphatase, Humans, Insulin, Mutation Rate, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide}, issn = {2041-1723}, doi = {10.1038/ncomms6897}, author = {Wessel, Jennifer and Chu, Audrey Y and Willems, Sara M and Wang, Shuai and Yaghootkar, Hanieh and Brody, Jennifer A and Dauriz, Marco and Hivert, Marie-France and Raghavan, Sridharan and Lipovich, Leonard and Hidalgo, Bertha and Fox, Keolu and Huffman, Jennifer E and An, Ping and Lu, Yingchang and Rasmussen-Torvik, Laura J and Grarup, Niels and Ehm, Margaret G and Li, Li and Baldridge, Abigail S and Stan{\v c}{\'a}kov{\'a}, Alena and Abrol, Ravinder and Besse, C{\'e}line and Boland, Anne and Bork-Jensen, Jette and Fornage, Myriam and Freitag, Daniel F and Garcia, Melissa E and Guo, Xiuqing and Hara, Kazuo and Isaacs, Aaron and Jakobsdottir, Johanna and Lange, Leslie A and Layton, Jill C and Li, Man and Hua Zhao, Jing and Meidtner, Karina and Morrison, Alanna C and Nalls, Mike A and Peters, Marjolein J and Sabater-Lleal, Maria and Schurmann, Claudia and Silveira, Angela and Smith, Albert V and Southam, Lorraine and Stoiber, Marcus H and Strawbridge, Rona J and Taylor, Kent D and Varga, Tibor V and Allin, Kristine H and Amin, Najaf and Aponte, Jennifer L and Aung, Tin and Barbieri, Caterina and Bihlmeyer, Nathan A and Boehnke, Michael and Bombieri, Cristina and Bowden, Donald W and Burns, Sean M and Chen, Yuning and Chen, Yii-DerI and Cheng, Ching-Yu and Correa, Adolfo and Czajkowski, Jacek and Dehghan, Abbas and Ehret, Georg B and Eiriksdottir, Gudny and Escher, Stefan A and Farmaki, Aliki-Eleni and Fr{\r a}nberg, Mattias and Gambaro, Giovanni and Giulianini, Franco and Goddard, William A and Goel, Anuj and Gottesman, Omri and Grove, Megan L and Gustafsson, Stefan and Hai, Yang and Hallmans, G{\"o}ran and Heo, Jiyoung and Hoffmann, Per and Ikram, Mohammad K and Jensen, Richard A and J{\o}rgensen, Marit E and J{\o}rgensen, Torben and Karaleftheri, Maria and Khor, Chiea C and Kirkpatrick, Andrea and Kraja, Aldi T and Kuusisto, Johanna and Lange, Ethan M and Lee, I T and Lee, Wen-Jane and Leong, Aaron and Liao, Jiemin and Liu, Chunyu and Liu, Yongmei and Lindgren, Cecilia M and Linneberg, Allan and Malerba, Giovanni and Mamakou, Vasiliki and Marouli, Eirini and Maruthur, Nisa M and Matchan, Angela and McKean-Cowdin, Roberta and McLeod, Olga and Metcalf, Ginger A and Mohlke, Karen L and Muzny, Donna M and Ntalla, Ioanna and Palmer, Nicholette D and Pasko, Dorota and Peter, Andreas and Rayner, Nigel W and Renstrom, Frida and Rice, Ken and Sala, Cinzia F and Sennblad, Bengt and Serafetinidis, Ioannis and Smith, Jennifer A and Soranzo, Nicole and Speliotes, Elizabeth K and Stahl, Eli A and Stirrups, Kathleen and Tentolouris, Nikos and Thanopoulou, Anastasia and Torres, Mina and Traglia, Michela and Tsafantakis, Emmanouil and Javad, Sundas and Yanek, Lisa R and Zengini, Eleni and Becker, Diane M and Bis, Joshua C and Brown, James B and Cupples, L Adrienne and Hansen, Torben and Ingelsson, Erik and Karter, Andrew J and Lorenzo, Carlos and Mathias, Rasika A and Norris, Jill M and Peloso, Gina M and Sheu, Wayne H-H and Toniolo, Daniela and Vaidya, Dhananjay and Varma, Rohit and Wagenknecht, Lynne E and Boeing, Heiner and Bottinger, Erwin P and Dedoussis, George and Deloukas, Panos and Ferrannini, Ele and Franco, Oscar H and Franks, Paul W and Gibbs, Richard A and Gudnason, Vilmundur and Hamsten, Anders and Harris, Tamara B and Hattersley, Andrew T and Hayward, Caroline and Hofman, Albert and Jansson, Jan-H{\r a}kan and Langenberg, Claudia and Launer, Lenore J and Levy, Daniel and Oostra, Ben A and O{\textquoteright}Donnell, Christopher J and O{\textquoteright}Rahilly, Stephen and Padmanabhan, Sandosh and Pankow, James S and Polasek, Ozren and Province, Michael A and Rich, Stephen S and Ridker, Paul M and Rudan, Igor and Schulze, Matthias B and Smith, Blair H and Uitterlinden, Andr{\'e} G and Walker, Mark and Watkins, Hugh and Wong, Tien Y and Zeggini, Eleftheria and Laakso, Markku and Borecki, Ingrid B and Chasman, Daniel I and Pedersen, Oluf and Psaty, Bruce M and Tai, E Shyong and van Duijn, Cornelia M and Wareham, Nicholas J and Waterworth, Dawn M and Boerwinkle, Eric and Kao, W H Linda and Florez, Jose C and Loos, Ruth J F and Wilson, James G and Frayling, Timothy M and Siscovick, David S and Dupuis, Jos{\'e}e and Rotter, Jerome I and Meigs, James B and Scott, Robert A and Goodarzi, Mark O} } @article {7167, title = {Genome-Wide Association Study of the Modified Stumvoll Insulin Sensitivity Index Identifies BCL2 and FAM19A2 as Novel Insulin Sensitivity Loci.}, journal = {Diabetes}, volume = {65}, year = {2016}, month = {2016 Oct}, pages = {3200-11}, abstract = {

Genome-wide association studies (GWAS) have found few common variants that influence fasting measures of insulin sensitivity. We hypothesized that a GWAS of an integrated assessment of fasting and dynamic measures of insulin sensitivity would detect novel common variants. We performed a GWAS of the modified Stumvoll Insulin Sensitivity Index (ISI) within the Meta-Analyses of Glucose and Insulin-Related Traits Consortium. Discovery for genetic association was performed in 16,753 individuals, and replication was attempted for the 23 most significant novel loci in 13,354 independent individuals. Association with ISI was tested in models adjusted for age, sex, and BMI and in a model analyzing the combined influence of the genotype effect adjusted for BMI and the interaction effect between the genotype and BMI on ISI (model 3). In model 3, three variants reached genome-wide significance: rs13422522 (NYAP2; P = 8.87 {\texttimes} 10(-11)), rs12454712 (BCL2; P = 2.7 {\texttimes} 10(-8)), and rs10506418 (FAM19A2; P = 1.9 {\texttimes} 10(-8)). The association at NYAP2 was eliminated by conditioning on the known IRS1 insulin sensitivity locus; the BCL2 and FAM19A2 associations were independent of known cardiometabolic loci. In conclusion, we identified two novel loci and replicated known variants associated with insulin sensitivity. Further studies are needed to clarify the causal variant and function at the BCL2 and FAM19A2 loci.

}, issn = {1939-327X}, doi = {10.2337/db16-0199}, author = {Walford, Geoffrey A and Gustafsson, Stefan and Rybin, Denis and Stan{\v c}{\'a}kov{\'a}, Alena and Chen, Han and Liu, Ching-Ti and Hong, Jaeyoung and Jensen, Richard A and Rice, Ken and Morris, Andrew P and M{\"a}gi, Reedik and T{\"o}njes, Anke and Prokopenko, Inga and Kleber, Marcus E and Delgado, Graciela and Silbernagel, G{\"u}nther and Jackson, Anne U and Appel, Emil V and Grarup, Niels and Lewis, Joshua P and Montasser, May E and Landenvall, Claes and Staiger, Harald and Luan, Jian{\textquoteright}an and Frayling, Timothy M and Weedon, Michael N and Xie, Weijia and Morcillo, Sonsoles and Mart{\'\i}nez-Larrad, Mar{\'\i}a Teresa and Biggs, Mary L and Chen, Yii-Der Ida and Corbaton-Anchuelo, Arturo and F{\ae}rch, Kristine and G{\'o}mez-Zumaquero, Juan Miguel and Goodarzi, Mark O and Kizer, Jorge R and Koistinen, Heikki A and Leong, Aaron and Lind, Lars and Lindgren, Cecilia and Machicao, Fausto and Manning, Alisa K and Mart{\'\i}n-N{\'u}{\~n}ez, Gracia Mar{\'\i}a and Rojo-Mart{\'\i}nez, Gemma and Rotter, Jerome I and Siscovick, David S and Zmuda, Joseph M and Zhang, Zhongyang and Serrano-R{\'\i}os, Manuel and Smith, Ulf and Soriguer, Federico and Hansen, Torben and J{\o}rgensen, Torben J and Linnenberg, Allan and Pedersen, Oluf and Walker, Mark and Langenberg, Claudia and Scott, Robert A and Wareham, Nicholas J and Fritsche, Andreas and H{\"a}ring, Hans-Ulrich and Stefan, Norbert and Groop, Leif and O{\textquoteright}Connell, Jeff R and Boehnke, Michael and Bergman, Richard N and Collins, Francis S and Mohlke, Karen L and Tuomilehto, Jaakko and M{\"a}rz, Winfried and Kovacs, Peter and Stumvoll, Michael and Psaty, Bruce M and Kuusisto, Johanna and Laakso, Markku and Meigs, James B and Dupuis, Jos{\'e}e and Ingelsson, Erik and Florez, Jose C} } @article {6937, title = {Rare Exome Sequence Variants in CLCN6 Reduce Blood Pressure Levels and Hypertension Risk.}, journal = {Circ Cardiovasc Genet}, volume = {9}, year = {2016}, month = {2016 Feb}, pages = {64-70}, abstract = {

BACKGROUND: Rare genetic variants influence blood pressure (BP).

METHODS AND RESULTS: Whole-exome sequencing was performed on DNA samples from 17 956 individuals of European ancestry and African ancestry (14 497, first-stage discovery and 3459, second-stage discovery) to examine the effect of rare variants on hypertension and 4 BP traits: systolic BP, diastolic BP, pulse pressure, and mean arterial pressure. Tests of ≈170 000 common variants (minor allele frequency, >=1\%; statistical significance, P<=2.9{\texttimes}10(-7)) and gene-based tests of rare variants (minor allele frequency, <1\%; ≈17 000 genes; statistical significance, P<=1.5{\texttimes}10(-6)) were evaluated for each trait and ancestry, followed by multiethnic meta-analyses. In the first-stage discovery, rare coding variants (splicing, stop-gain, stop-loss, nonsynonymous variants, or indels) in CLCN6 were associated with lower diastolic BP (cumulative minor allele frequency, 1.3\%; β=-3.20; P=4.1{\texttimes}10(-6)) and were independent of a nearby common variant (rs17367504) previously associated with BP. CLCN6 rare variants were also associated with lower systolic BP (β=-4.11; P=2.8{\texttimes}10(-4)), mean arterial pressure (β=-3.50; P=8.9{\texttimes}10(-6)), and reduced hypertension risk (odds ratio, 0.72; P=0.017). Meta-analysis of the 2-stage discovery samples showed that CLCN6 was associated with lower diastolic BP at exome-wide significance (cumulative minor allele frequency, 1.1\%; β=-3.30; P=5.0{\texttimes}10(-7)).

CONCLUSIONS: These findings implicate the effect of rare coding variants in CLCN6 in BP variation and offer new insights into BP regulation.

}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.115.001215}, author = {Yu, Bing and Pulit, Sara L and Hwang, Shih-Jen and Brody, Jennifer A and Amin, Najaf and Auer, Paul L and Bis, Joshua C and Boerwinkle, Eric and Burke, Gregory L and Chakravarti, Aravinda and Correa, Adolfo and Dreisbach, Albert W and Franco, Oscar H and Ehret, Georg B and Franceschini, Nora and Hofman, Albert and Lin, Dan-Yu and Metcalf, Ginger A and Musani, Solomon K and Muzny, Donna and Palmas, Walter and Raffel, Leslie and Reiner, Alex and Rice, Ken and Rotter, Jerome I and Veeraraghavan, Narayanan and Fox, Ervin and Guo, Xiuqing and North, Kari E and Gibbs, Richard A and van Duijn, Cornelia M and Psaty, Bruce M and Levy, Daniel and Newton-Cheh, Christopher and Morrison, Alanna C} } @article {7569, title = {New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475 000 Individuals.}, journal = {Circ Cardiovasc Genet}, volume = {10}, year = {2017}, month = {2017 Oct}, abstract = {

BACKGROUND: Genome-wide association studies have recently identified >400 loci that harbor DNA sequence variants that influence blood pressure (BP). Our earlier studies identified and validated 56 single nucleotide variants (SNVs) associated with BP from meta-analyses of exome chip genotype data. An additional 100 variants yielded suggestive evidence of association.

METHODS AND RESULTS: Here, we augment the sample with 140 886 European individuals from the UK Biobank, in whom 77 of the 100 suggestive SNVs were available for association analysis with systolic BP or diastolic BP or pulse pressure. We performed 2 meta-analyses, one in individuals of European, South Asian, African, and Hispanic descent (pan-ancestry, ≈475 000), and the other in the subset of individuals of European descent (≈423 000). Twenty-one SNVs were genome-wide significant (P<5{\texttimes}10-8) for BP, of which 4 are new BP loci: rs9678851 (missense, SLC4A1AP), rs7437940 (AFAP1), rs13303 (missense, STAB1), and rs1055144 (7p15.2). In addition, we identified a potentially independent novel BP-associated SNV, rs3416322 (missense, SYNPO2L) at a known locus, uncorrelated with the previously reported SNVs. Two SNVs are associated with expression levels of nearby genes, and SNVs at 3 loci are associated with other traits. One SNV with a minor allele frequency <0.01, (rs3025380 at DBH) was genome-wide significant.

CONCLUSIONS: We report 4 novel loci associated with BP regulation, and 1 independent variant at an established BP locus. This analysis highlights several candidate genes with variation that alter protein function or gene expression for potential follow-up.

}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.117.001778}, author = {Kraja, Aldi T and Cook, James P and Warren, Helen R and Surendran, Praveen and Liu, Chunyu and Evangelou, Evangelos and Manning, Alisa K and Grarup, Niels and Drenos, Fotios and Sim, Xueling and Smith, Albert Vernon and Amin, Najaf and Blakemore, Alexandra I F and Bork-Jensen, Jette and Brandslund, Ivan and Farmaki, Aliki-Eleni and Fava, Cristiano and Ferreira, Teresa and Herzig, Karl-Heinz and Giri, Ayush and Giulianini, Franco and Grove, Megan L and Guo, Xiuqing and Harris, Sarah E and Have, Christian T and Havulinna, Aki S and Zhang, He and J{\o}rgensen, Marit E and K{\"a}r{\"a}j{\"a}m{\"a}ki, AnneMari and Kooperberg, Charles and Linneberg, Allan and Little, Louis and Liu, Yongmei and Bonnycastle, Lori L and Lu, Yingchang and M{\"a}gi, Reedik and Mahajan, Anubha and Malerba, Giovanni and Marioni, Riccardo E and Mei, Hao and Menni, Cristina and Morrison, Alanna C and Padmanabhan, Sandosh and Palmas, Walter and Poveda, Alaitz and Rauramaa, Rainer and Rayner, Nigel William and Riaz, Muhammad and Rice, Ken and Richard, Melissa A and Smith, Jennifer A and Southam, Lorraine and Stan{\v c}{\'a}kov{\'a}, Alena and Stirrups, Kathleen E and Tragante, Vinicius and Tuomi, Tiinamaija and Tzoulaki, Ioanna and Varga, Tibor V and Weiss, Stefan and Yiorkas, Andrianos M and Young, Robin and Zhang, Weihua and Barnes, Michael R and Cabrera, Claudia P and Gao, He and Boehnke, Michael and Boerwinkle, Eric and Chambers, John C and Connell, John M and Christensen, Cramer K and de Boer, Rudolf A and Deary, Ian J and Dedoussis, George and Deloukas, Panos and Dominiczak, Anna F and D{\"o}rr, Marcus and Joehanes, Roby and Edwards, Todd L and Esko, T{\~o}nu and Fornage, Myriam and Franceschini, Nora and Franks, Paul W and Gambaro, Giovanni and Groop, Leif and Hallmans, G{\"o}ran and Hansen, Torben and Hayward, Caroline and Heikki, Oksa and Ingelsson, Erik and Tuomilehto, Jaakko and Jarvelin, Marjo-Riitta and Kardia, Sharon L R and Karpe, Fredrik and Kooner, Jaspal S and Lakka, Timo A and Langenberg, Claudia and Lind, Lars and Loos, Ruth J F and Laakso, Markku and McCarthy, Mark I and Melander, Olle and Mohlke, Karen L and Morris, Andrew P and Palmer, Colin N A and Pedersen, Oluf and Polasek, Ozren and Poulter, Neil R and Province, Michael A and Psaty, Bruce M and Ridker, Paul M and Rotter, Jerome I and Rudan, Igor and Salomaa, Veikko and Samani, Nilesh J and Sever, Peter J and Skaaby, Tea and Stafford, Jeanette M and Starr, John M and van der Harst, Pim and van der Meer, Peter and van Duijn, Cornelia M and Vergnaud, Anne-Claire and Gudnason, Vilmundur and Wareham, Nicholas J and Wilson, James G and Willer, Cristen J and Witte, Daniel R and Zeggini, Eleftheria and Saleheen, Danish and Butterworth, Adam S and Danesh, John and Asselbergs, Folkert W and Wain, Louise V and Ehret, Georg B and Chasman, Daniel I and Caulfield, Mark J and Elliott, Paul and Lindgren, Cecilia M and Levy, Daniel and Newton-Cheh, Christopher and Munroe, Patricia B and Howson, Joanna M M} } @article {7849, title = {Genome-wide association study of 23,500 individuals identifies 7 loci associated with brain ventricular volume.}, journal = {Nat Commun}, volume = {9}, year = {2018}, month = {2018 Sep 26}, pages = {3945}, abstract = {

The volume of the lateral ventricles (LV) increases with age and their abnormal enlargement is a key feature of several neurological and psychiatric diseases. Although lateral ventricular volume is heritable, a comprehensive investigation of its genetic determinants is lacking. In this meta-analysis of genome-wide association studies of 23,533 healthy middle-aged to elderly individuals from 26 population-based cohorts, we identify 7 genetic loci associated with LV volume. These loci map to chromosomes 3q28, 7p22.3, 10p12.31, 11q23.1, 12q23.3, 16q24.2, and 22q13.1 and implicate pathways related to tau pathology, S1P signaling, and cytoskeleton organization. We also report a significant genetic overlap between the thalamus and LV volumes (ρ = -0.59, p-value = 3.14 {\texttimes} 10), suggesting that these brain structures may share a common biology. These genetic associations of LV volume provide insights into brain morphology.

}, issn = {2041-1723}, doi = {10.1038/s41467-018-06234-w}, author = {Vojinovic, Dina and Adams, Hieab H and Jian, Xueqiu and Yang, Qiong and Smith, Albert Vernon and Bis, Joshua C and Teumer, Alexander and Scholz, Markus and Armstrong, Nicola J and Hofer, Edith and Saba, Yasaman and Luciano, Michelle and Bernard, Manon and Trompet, Stella and Yang, Jingyun and Gillespie, Nathan A and van der Lee, Sven J and Neumann, Alexander and Ahmad, Shahzad and Andreassen, Ole A and Ames, David and Amin, Najaf and Arfanakis, Konstantinos and Bastin, Mark E and Becker, Diane M and Beiser, Alexa S and Beyer, Frauke and Brodaty, Henry and Bryan, R Nick and B{\"u}low, Robin and Dale, Anders M and De Jager, Philip L and Deary, Ian J and DeCarli, Charles and Fleischman, Debra A and Gottesman, Rebecca F and van der Grond, Jeroen and Gudnason, Vilmundur and Harris, Tamara B and Homuth, Georg and Knopman, David S and Kwok, John B and Lewis, Cora E and Li, Shuo and Loeffler, Markus and Lopez, Oscar L and Maillard, Pauline and El Marroun, Hanan and Mather, Karen A and Mosley, Thomas H and Muetzel, Ryan L and Nauck, Matthias and Nyquist, Paul A and Panizzon, Matthew S and Pausova, Zdenka and Psaty, Bruce M and Rice, Ken and Rotter, Jerome I and Royle, Natalie and Satizabal, Claudia L and Schmidt, Reinhold and Schofield, Peter R and Schreiner, Pamela J and Sidney, Stephen and Stott, David J and Thalamuthu, Anbupalam and Uitterlinden, Andr{\'e} G and Vald{\'e}s Hern{\'a}ndez, Maria C and Vernooij, Meike W and Wen, Wei and White, Tonya and Witte, A Veronica and Wittfeld, Katharina and Wright, Margaret J and Yanek, Lisa R and Tiemeier, Henning and Kremen, William S and Bennett, David A and Jukema, J Wouter and Paus, Tom{\'a}{\v s} and Wardlaw, Joanna M and Schmidt, Helena and Sachdev, Perminder S and Villringer, Arno and Grabe, Hans J{\"o}rgen and Longstreth, W T and van Duijn, Cornelia M and Launer, Lenore J and Seshadri, Sudha and Ikram, M Arfan and Fornage, Myriam} } @article {7675, title = {Multiethnic Meta-Analysis Identifies RAI1 as a Possible Obstructive Sleep Apnea-related Quantitative Trait Locus in Men.}, journal = {Am J Respir Cell Mol Biol}, volume = {58}, year = {2018}, month = {2018 Mar}, pages = {391-401}, abstract = {

Obstructive sleep apnea (OSA) is a common heritable disorder displaying marked sexual dimorphism in disease prevalence and progression. Previous genetic association studies have identified a few genetic loci associated with OSA and related quantitative traits, but they have only focused on single ethnic groups, and a large proportion of the heritability remains unexplained. The apnea-hypopnea index (AHI) is a commonly used quantitative measure characterizing OSA severity. Because OSA differs by sex, and the pathophysiology of obstructive events differ in rapid eye movement (REM) and non-REM (NREM) sleep, we hypothesized that additional genetic association signals would be identified by analyzing the NREM/REM-specific AHI and by conducting sex-specific analyses in multiethnic samples. We performed genome-wide association tests for up to 19,733 participants of African, Asian, European, and Hispanic/Latino American ancestry in 7 studies. We identified rs12936587 on chromosome 17 as a possible quantitative trait locus for NREM AHI in men (N = 6,737; P = 1.7 {\texttimes} 10) but not in women (P = 0.77). The association with NREM AHI was replicated in a physiological research study (N = 67; P = 0.047). This locus overlapping the RAI1 gene and encompassing genes PEMT1, SREBF1, and RASD1 was previously reported to be associated with coronary artery disease, lipid metabolism, and implicated in Potocki-Lupski syndrome and Smith-Magenis syndrome, which are characterized by abnormal sleep phenotypes. We also identified gene-by-sex interactions in suggestive association regions, suggesting that genetic variants for AHI appear to vary by sex, consistent with the clinical observations of strong sexual dimorphism.

}, issn = {1535-4989}, doi = {10.1165/rcmb.2017-0237OC}, author = {Chen, Han and Cade, Brian E and Gleason, Kevin J and Bjonnes, Andrew C and Stilp, Adrienne M and Sofer, Tamar and Conomos, Matthew P and Ancoli-Israel, Sonia and Arens, Raanan and Azarbarzin, Ali and Bell, Graeme I and Below, Jennifer E and Chun, Sung and Evans, Daniel S and Ewert, Ralf and Frazier-Wood, Alexis C and Gharib, Sina A and Haba-Rubio, Jos{\'e} and Hagen, Erika W and Heinzer, Raphael and Hillman, David R and Johnson, W Craig and Kutalik, Zolt{\'a}n and Lane, Jacqueline M and Larkin, Emma K and Lee, Seung Ku and Liang, Jingjing and Loredo, Jose S and Mukherjee, Sutapa and Palmer, Lyle J and Papanicolaou, George J and Penzel, Thomas and Peppard, Paul E and Post, Wendy S and Ramos, Alberto R and Rice, Ken and Rotter, Jerome I and Sands, Scott A and Shah, Neomi A and Shin, Chol and Stone, Katie L and Stubbe, Beate and Sul, Jae Hoon and Tafti, Mehdi and Taylor, Kent D and Teumer, Alexander and Thornton, Timothy A and Tranah, Gregory J and Wang, Chaolong and Wang, Heming and Warby, Simon C and Wellman, D Andrew and Zee, Phyllis C and Hanis, Craig L and Laurie, Cathy C and Gottlieb, Daniel J and Patel, Sanjay R and Zhu, Xiaofeng and Sunyaev, Shamil R and Saxena, Richa and Lin, Xihong and Redline, Susan} } @article {8049, title = {Admixture mapping identifies novel loci for obstructive sleep apnea in Hispanic/Latino Americans.}, journal = {Hum Mol Genet}, volume = {28}, year = {2019}, month = {2019 02 15}, pages = {675-687}, abstract = {

Obstructive sleep apnea (OSA) is a common disorder associated with increased risk of cardiovascular disease and mortality. Its prevalence and severity vary across ancestral background. Although OSA traits are heritable, few genetic associations have been identified. To identify genetic regions associated with OSA and improve statistical power, we applied admixture mapping on three primary OSA traits [the apnea hypopnea index (AHI), overnight average oxyhemoglobin saturation (SaO2) and percentage time SaO2~<~90\%] and a secondary trait (respiratory event duration) in a Hispanic/Latino American population study of 11~575 individuals with significant variation in ancestral background. Linear mixed models were performed using previously inferred African, European and Amerindian local genetic ancestry markers. Global African ancestry was associated with a lower AHI, higher SaO2 and shorter event duration. Admixture mapping analysis of the primary OSA traits identified local African ancestry at the chromosomal region 2q37 as genome-wide significantly associated with AHI (P~<~5.7~{\texttimes}~10-5), and European and Amerindian ancestries at 18q21 suggestively associated with both AHI and percentage time SaO2~<~90\% (P~<~10-3). Follow-up joint ancestry-SNP association analyses identified novel variants in ferrochelatase (FECH), significantly associated with AHI and percentage time SaO2~<~90\% after adjusting for multiple tests (P~<~8~{\texttimes}~10-6). These signals contributed to the admixture mapping associations and were replicated in independent cohorts. In this first admixture mapping study of OSA, novel associations with variants in the iron/heme metabolism pathway suggest a role for iron in influencing respiratory traits underlying OSA.

}, issn = {1460-2083}, doi = {10.1093/hmg/ddy387}, author = {Wang, Heming and Cade, Brian E and Sofer, Tamar and Sands, Scott A and Chen, Han and Browning, Sharon R and Stilp, Adrienne M and Louie, Tin L and Thornton, Timothy A and Johnson, W Craig and Below, Jennifer E and Conomos, Matthew P and Evans, Daniel S and Gharib, Sina A and Guo, Xiuqing and Wood, Alexis C and Mei, Hao and Yaffe, Kristine and Loredo, Jose S and Ramos, Alberto R and Barrett-Connor, Elizabeth and Ancoli-Israel, Sonia and Zee, Phyllis C and Arens, Raanan and Shah, Neomi A and Taylor, Kent D and Tranah, Gregory J and Stone, Katie L and Hanis, Craig L and Wilson, James G and Gottlieb, Daniel J and Patel, Sanjay R and Rice, Ken and Post, Wendy S and Rotter, Jerome I and Sunyaev, Shamil R and Cai, Jianwen and Lin, Xihong and Purcell, Shaun M and Laurie, Cathy C and Saxena, Richa and Redline, Susan and Zhu, Xiaofeng} } @article {8044, title = {Associations of variants In the hexokinase 1 and interleukin 18 receptor regions with oxyhemoglobin saturation during sleep.}, journal = {PLoS Genet}, volume = {15}, year = {2019}, month = {2019 04}, pages = {e1007739}, abstract = {

Sleep disordered breathing (SDB)-related overnight hypoxemia is associated with cardiometabolic disease and other comorbidities. Understanding the genetic bases for variations in nocturnal hypoxemia may help understand mechanisms influencing oxygenation and SDB-related mortality. We conducted genome-wide association tests across 10 cohorts and 4 populations to identify genetic variants associated with three correlated measures of overnight oxyhemoglobin saturation: average and minimum oxyhemoglobin saturation during sleep and the percent of sleep with oxyhemoglobin saturation under 90\%. The discovery sample consisted of 8,326 individuals. Variants with p < 1 {\texttimes} 10(-6) were analyzed in a replication group of 14,410 individuals. We identified 3 significantly associated regions, including 2 regions in multi-ethnic analyses (2q12, 10q22). SNPs in the 2q12 region associated with minimum SpO2 (rs78136548 p = 2.70 {\texttimes} 10(-10)). SNPs at 10q22 were associated with all three traits including average SpO2 (rs72805692 p = 4.58 {\texttimes} 10(-8)). SNPs in both regions were associated in over 20,000 individuals and are supported by prior associations or functional evidence. Four additional significant regions were detected in secondary sex-stratified and combined discovery and replication analyses, including a region overlapping Reelin, a known marker of respiratory complex neurons.These are the first genome-wide significant findings reported for oxyhemoglobin saturation during sleep, a phenotype of high clinical interest. Our replicated associations with HK1 and IL18R1 suggest that variants in inflammatory pathways, such as the biologically-plausible NLRP3 inflammasome, may contribute to nocturnal hypoxemia.

}, keywords = {Adolescent, Adult, Aged, Aged, 80 and over, Cell Adhesion Molecules, Neuronal, Computational Biology, Extracellular Matrix Proteins, Female, Gene Regulatory Networks, Genetic Variation, Genome-Wide Association Study, Hexokinase, Humans, Hypoxia, Interleukin-18 Receptor alpha Subunit, Male, Middle Aged, Nerve Tissue Proteins, NLR Family, Pyrin Domain-Containing 3 Protein, Oxygen, Oxyhemoglobins, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Serine Endopeptidases, Sleep, Sleep Apnea Syndromes, Young Adult}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1007739}, author = {Cade, Brian E and Chen, Han and Stilp, Adrienne M and Louie, Tin and Ancoli-Israel, Sonia and Arens, Raanan and Barfield, Richard and Below, Jennifer E and Cai, Jianwen and Conomos, Matthew P and Evans, Daniel S and Frazier-Wood, Alexis C and Gharib, Sina A and Gleason, Kevin J and Gottlieb, Daniel J and Hillman, David R and Johnson, W Craig and Lederer, David J and Lee, Jiwon and Loredo, Jose S and Mei, Hao and Mukherjee, Sutapa and Patel, Sanjay R and Post, Wendy S and Purcell, Shaun M and Ramos, Alberto R and Reid, Kathryn J and Rice, Ken and Shah, Neomi A and Sofer, Tamar and Taylor, Kent D and Thornton, Timothy A and Wang, Heming and Yaffe, Kristine and Zee, Phyllis C and Hanis, Craig L and Palmer, Lyle J and Rotter, Jerome I and Stone, Katie L and Tranah, Gregory J and Wilson, James G and Sunyaev, Shamil R and Laurie, Cathy C and Zhu, Xiaofeng and Saxena, Richa and Lin, Xihong and Redline, Susan} } @article {9321, title = {Whole Genome Analysis of Venous Thromboembolism: the Trans-Omics for Precision Medicine Program.}, journal = {Circ Genom Precis Med}, year = {2023}, month = {2023 Mar 24}, pages = {e003532}, abstract = {

Background Risk for venous thromboembolism has a strong genetic component. Whole genome sequencingfrom the Trans-Omics for Precision Medicine program allowed us to look for new associations, particularly rare variants missed by standard genome-wide association studies. Methods The 3793 cases and 7834 controls (11.6\% of cases were Black, Hispanic/Latino, or Asian American) were analyzed using a single variant approach and an aggregate gene-based approach using our primary filter (included only loss-of-function and missense variants predicted to be deleterious) and our secondary filter (included all missense variants). Results Single variant analyses identified associations at 5 known loci. Aggregate gene-based analyses identified only (odds ratio, 6.2 for carriers of rare variants; =7.4{\texttimes}10) when using our primary filter. Employing our secondary variant filter led to a smaller effect size at (odds ratio, 3.8; =1.6{\texttimes}10), while excluding variants found only in rare isoforms led to a larger one (odds ratio, 7.5). Different filtering strategies improved the signal for 2 other known genes: became significant (minimum =1.8{\texttimes}10 with the secondary filter), while did not (minimum =4.4{\texttimes}10 with minor allele frequency <0.0005). Results were largely the same when restricting the analyses to include only unprovoked cases; however, one novel gene, , became significant (=4.4{\texttimes}10 using all missense variants with minor allele frequency <0.0005). Conclusions Here, we have demonstrated the importance of using multiple variant filtering strategies, as we detected additional genes when filtering variants based on their predicted deleteriousness, frequency, and presence on the most expressed isoforms. Our primary analyses did not identify new candidate loci; thus larger follow-up studies are needed to replicate the novel locus and to identify additional rare variation associated with venous thromboembolism.

}, issn = {2574-8300}, doi = {10.1161/CIRCGEN.121.003532}, author = {Seyerle, Amanda A and Laurie, Cecelia A and Coombes, Brandon J and Jain, Deepti and Conomos, Matthew P and Brody, Jennifer and Chen, Ming-Huei and Gogarten, Stephanie M and Beutel, Kathleen M and Gupta, Namrata and Heckbert, Susan R and Jackson, Rebecca D and Johnson, Andrew D and Ko, Darae and Manson, JoAnn E and McKnight, Barbara and Metcalf, Ginger A and Morrison, Alanna C and Reiner, Alexander P and Sofer, Tamar and Tang, Weihong and Wiggins, Kerri L and Boerwinkle, Eric and Andrade, Mariza de and Gabriel, Stacey B and Gibbs, Richard A and Laurie, Cathy C and Psaty, Bruce M and Vasan, Ramachandran S and Rice, Ken and Kooperberg, Charles and Pankow, James S and Smith, Nicholas L and Pankratz, Nathan} }