@article {1284, title = {Genetic predictors of fibrin D-dimer levels in healthy adults.}, journal = {Circulation}, volume = {123}, year = {2011}, month = {2011 May 03}, pages = {1864-72}, abstract = {

BACKGROUND: Fibrin fragment D-dimer, one of several peptides produced when crosslinked fibrin is degraded by plasmin, is the most widely used clinical marker of activated blood coagulation. To identity genetic loci influencing D-dimer levels, we performed the first large-scale, genome-wide association search.

METHODS AND RESULTS: A genome-wide investigation of the genomic correlates of plasma D-dimer levels was conducted among 21 052 European-ancestry adults. Plasma levels of D-dimer were measured independently in each of 13 cohorts. Each study analyzed the association between ≈2.6 million genotyped and imputed variants across the 22 autosomal chromosomes and natural-log{\textendash}transformed D-dimer levels using linear regression in additive genetic models adjusted for age and sex. Among all variants, 74 exceeded the genome-wide significance threshold and marked 3 regions. At 1p22, rs12029080 (P=6.4{\texttimes}10(-52)) was 46.0 kb upstream from F3, coagulation factor III (tissue factor). At 1q24, rs6687813 (P=2.4{\texttimes}10(-14)) was 79.7 kb downstream of F5, coagulation factor V. At 4q32, rs13109457 (P=2.9{\texttimes}10(-18)) was located between 2 fibrinogen genes: 10.4 kb downstream from FGG and 3.0 kb upstream from FGA. Variants were associated with a 0.099-, 0.096-, and 0.061-unit difference, respectively, in natural-log{\textendash}transformed D-dimer and together accounted for 1.8\% of the total variance. When adjusted for nonsynonymous substitutions in F5 and FGA loci known to be associated with D-dimer levels, there was no evidence of an additional association at either locus.

CONCLUSIONS: Three genes were associated with fibrin D-dimer levels. Of these 3, the F3 association was the strongest, and has not been previously reported.

}, keywords = {Adult, Aged, Blood Coagulation, European Continental Ancestry Group, Factor V, Female, Fibrin Fibrinogen Degradation Products, Fibrinogen, Genetic Testing, Genome-Wide Association Study, Humans, Male, Middle Aged, Reference Values, Thromboplastin}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.110.009480}, author = {Smith, Nicholas L and Huffman, Jennifer E and Strachan, David P and Huang, Jie and Dehghan, Abbas and Trompet, Stella and Lopez, Lorna M and Shin, So-Youn and Baumert, Jens and Vitart, Veronique and Bis, Joshua C and Wild, Sarah H and Rumley, Ann and Yang, Qiong and Uitterlinden, Andr{\'e} G and Stott, David J and Davies, Gail and Carter, Angela M and Thorand, Barbara and Polasek, Ozren and McKnight, Barbara and Campbell, Harry and Rudnicka, Alicja R and Chen, Ming-Huei and Buckley, Brendan M and Harris, Sarah E and Peters, Annette and Pulanic, Drazen and Lumley, Thomas and de Craen, Anton J M and Liewald, David C and Gieger, Christian and Campbell, Susan and Ford, Ian and Gow, Alan J and Luciano, Michelle and Porteous, David J and Guo, Xiuqing and Sattar, Naveed and Tenesa, Albert and Cushman, Mary and Slagboom, P Eline and Visscher, Peter M and Spector, Tim D and Illig, Thomas and Rudan, Igor and Bovill, Edwin G and Wright, Alan F and McArdle, Wendy L and Tofler, Geoffrey and Hofman, Albert and Westendorp, Rudi G J and Starr, John M and Grant, Peter J and Karakas, Mahir and Hastie, Nicholas D and Psaty, Bruce M and Wilson, James F and Lowe, Gordon D O and O{\textquoteright}Donnell, Christopher J and Witteman, Jacqueline C M and Jukema, J Wouter and Deary, Ian J and Soranzo, Nicole and Koenig, Wolfgang and Hayward, Caroline} } @article {5877, title = {A meta-analysis of thyroid-related traits reveals novel loci and gender-specific differences in the regulation of thyroid function.}, journal = {PLoS Genet}, volume = {9}, year = {2013}, month = {2013}, pages = {e1003266}, abstract = {

Thyroid hormone is essential for normal metabolism and development, and overt abnormalities in thyroid function lead to common endocrine disorders affecting approximately 10\% of individuals over their life span. In addition, even mild alterations in thyroid function are associated with weight changes, atrial fibrillation, osteoporosis, and psychiatric disorders. To identify novel variants underlying thyroid function, we performed a large meta-analysis of genome-wide association studies for serum levels of the highly heritable thyroid function markers TSH and FT4, in up to 26,420 and 17,520 euthyroid subjects, respectively. Here we report 26 independent associations, including several novel loci for TSH (PDE10A, VEGFA, IGFBP5, NFIA, SOX9, PRDM11, FGF7, INSR, ABO, MIR1179, NRG1, MBIP, ITPK1, SASH1, GLIS3) and FT4 (LHX3, FOXE1, AADAT, NETO1/FBXO15, LPCAT2/CAPNS2). Notably, only limited overlap was detected between TSH and FT4 associated signals, in spite of the feedback regulation of their circulating levels by the hypothalamic-pituitary-thyroid axis. Five of the reported loci (PDE8B, PDE10A, MAF/LOC440389, NETO1/FBXO15, and LPCAT2/CAPNS2) show strong gender-specific differences, which offer clues for the known sexual dimorphism in thyroid function and related pathologies. Importantly, the TSH-associated loci contribute not only to variation within the normal range, but also to TSH values outside the reference range, suggesting that they may be involved in thyroid dysfunction. Overall, our findings explain, respectively, 5.64\% and 2.30\% of total TSH and FT4 trait variance, and they improve the current knowledge of the regulation of hypothalamic-pituitary-thyroid axis function and the consequences of genetic variation for hypo- or hyperthyroidism.

}, keywords = {Female, Genome-Wide Association Study, Humans, Hyperthyroidism, Hypothyroidism, Male, Phenotype, Polymorphism, Genetic, Polymorphism, Single Nucleotide, Sex Characteristics, Signal Transduction, Thyroid Gland, Thyrotropin, Thyroxine}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1003266}, author = {Porcu, Eleonora and Medici, Marco and Pistis, Giorgio and Volpato, Claudia B and Wilson, Scott G and Cappola, Anne R and Bos, Steffan D and Deelen, Joris and den Heijer, Martin and Freathy, Rachel M and Lahti, Jari and Liu, Chunyu and Lopez, Lorna M and Nolte, Ilja M and O{\textquoteright}Connell, Jeffrey R and Tanaka, Toshiko and Trompet, Stella and Arnold, Alice and Bandinelli, Stefania and Beekman, Marian and B{\"o}hringer, Stefan and Brown, Suzanne J and Buckley, Brendan M and Camaschella, Clara and de Craen, Anton J M and Davies, Gail and de Visser, Marieke C H and Ford, Ian and Forsen, Tom and Frayling, Timothy M and Fugazzola, Laura and G{\"o}gele, Martin and Hattersley, Andrew T and Hermus, Ad R and Hofman, Albert and Houwing-Duistermaat, Jeanine J and Jensen, Richard A and Kajantie, Eero and Kloppenburg, Margreet and Lim, Ee M and Masciullo, Corrado and Mariotti, Stefano and Minelli, Cosetta and Mitchell, Braxton D and Nagaraja, Ramaiah and Netea-Maier, Romana T and Palotie, Aarno and Persani, Luca and Piras, Maria G and Psaty, Bruce M and R{\"a}ikk{\"o}nen, Katri and Richards, J Brent and Rivadeneira, Fernando and Sala, Cinzia and Sabra, Mona M and Sattar, Naveed and Shields, Beverley M and Soranzo, Nicole and Starr, John M and Stott, David J and Sweep, Fred C G J and Usala, Gianluca and van der Klauw, Melanie M and van Heemst, Diana and van Mullem, Alies and Vermeulen, Sita H and Visser, W Edward and Walsh, John P and Westendorp, Rudi G J and Widen, Elisabeth and Zhai, Guangju and Cucca, Francesco and Deary, Ian J and Eriksson, Johan G and Ferrucci, Luigi and Fox, Caroline S and Jukema, J Wouter and Kiemeney, Lambertus A and Pramstaller, Peter P and Schlessinger, David and Shuldiner, Alan R and Slagboom, Eline P and Uitterlinden, Andr{\'e} G and Vaidya, Bijay and Visser, Theo J and Wolffenbuttel, Bruce H R and Meulenbelt, Ingrid and Rotter, Jerome I and Spector, Tim D and Hicks, Andrew A and Toniolo, Daniela and Sanna, Serena and Peeters, Robin P and Naitza, Silvia} } @article {6367, title = {Genome-wide association study for circulating tissue plasminogen activator levels and functional follow-up implicates endothelial STXBP5 and STX2.}, journal = {Arterioscler Thromb Vasc Biol}, volume = {34}, year = {2014}, month = {2014 May}, pages = {1093-101}, abstract = {

OBJECTIVE: Tissue plasminogen activator (tPA), a serine protease, catalyzes the conversion of plasminogen to plasmin, the major enzyme responsible for endogenous fibrinolysis. In some populations, elevated plasma levels of tPA have been associated with myocardial infarction and other cardiovascular diseases. We conducted a meta-analysis of genome-wide association studies to identify novel correlates of circulating levels of tPA.

APPROACH AND RESULTS: Fourteen cohort studies with tPA measures (N=26 929) contributed to the meta-analysis. Three loci were significantly associated with circulating tPA levels (P<5.0{\texttimes}10(-8)). The first locus is on 6q24.3, with the lead single nucleotide polymorphism (SNP; rs9399599; P=2.9{\texttimes}10(-14)) within STXBP5. The second locus is on 8p11.21. The lead SNP (rs3136739; P=1.3{\texttimes}10(-9)) is intronic to POLB and <200 kb away from the tPA encoding the gene PLAT. We identified a nonsynonymous SNP (rs2020921) in modest linkage disequilibrium with rs3136739 (r(2)=0.50) within exon 5 of PLAT (P=2.0{\texttimes}10(-8)). The third locus is on 12q24.33, with the lead SNP (rs7301826; P=1.0{\texttimes}10(-9)) within intron 7 of STX2. We further found evidence for the association of lead SNPs in STXBP5 and STX2 with expression levels of the respective transcripts. In in vitro cell studies, silencing STXBP5 decreased the release of tPA from vascular endothelial cells, whereas silencing STX2 increased the tPA release. Through an in silico lookup, we found no associations of the 3 lead SNPs with coronary artery disease or stroke.

CONCLUSIONS: We identified 3 loci associated with circulating tPA levels, the PLAT region, STXBP5, and STX2. Our functional studies implicate a novel role for STXBP5 and STX2 in regulating tPA release.

}, keywords = {Aged, Cells, Cultured, Coronary Artery Disease, Endothelial Cells, Europe, Female, Gene Expression Regulation, Gene Silencing, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Nerve Tissue Proteins, Phenotype, Polymorphism, Single Nucleotide, R-SNARE Proteins, Risk Factors, Stroke, Syntaxin 1, Tissue Plasminogen Activator, Transfection, United States, Up-Regulation}, issn = {1524-4636}, doi = {10.1161/ATVBAHA.113.302088}, author = {Huang, Jie and Huffman, Jennifer E and Yamakuchi, Munekazu and Yamkauchi, Munekazu and Trompet, Stella and Asselbergs, Folkert W and Sabater-Lleal, Maria and Tr{\'e}gou{\"e}t, David-Alexandre and Chen, Wei-Min and Smith, Nicholas L and Kleber, Marcus E and Shin, So-Youn and Becker, Diane M and Tang, Weihong and Dehghan, Abbas and Johnson, Andrew D and Truong, Vinh and Folkersen, Lasse and Yang, Qiong and Oudot-Mellkah, Tiphaine and Buckley, Brendan M and Moore, Jason H and Williams, Frances M K and Campbell, Harry and Silbernagel, G{\"u}nther and Vitart, Veronique and Rudan, Igor and Tofler, Geoffrey H and Navis, Gerjan J and DeStefano, Anita and Wright, Alan F and Chen, Ming-Huei and de Craen, Anton J M and Worrall, Bradford B and Rudnicka, Alicja R and Rumley, Ann and Bookman, Ebony B and Psaty, Bruce M and Chen, Fang and Keene, Keith L and Franco, Oscar H and B{\"o}hm, Bernhard O and Uitterlinden, Andr{\'e} G and Carter, Angela M and Jukema, J Wouter and Sattar, Naveed and Bis, Joshua C and Ikram, Mohammad A and Sale, Mich{\`e}le M and McKnight, Barbara and Fornage, Myriam and Ford, Ian and Taylor, Kent and Slagboom, P Eline and McArdle, Wendy L and Hsu, Fang-Chi and Franco-Cereceda, Anders and Goodall, Alison H and Yanek, Lisa R and Furie, Karen L and Cushman, Mary and Hofman, Albert and Witteman, Jacqueline C M and Folsom, Aaron R and Basu, Saonli and Matijevic, Nena and van Gilst, Wiek H and Wilson, James F and Westendorp, Rudi G J and Kathiresan, Sekar and Reilly, Muredach P and Tracy, Russell P and Polasek, Ozren and Winkelmann, Bernhard R and Grant, Peter J and Hillege, Hans L and Cambien, Francois and Stott, David J and Lowe, Gordon D and Spector, Timothy D and Meigs, James B and M{\"a}rz, Winfried and Eriksson, Per and Becker, Lewis C and Morange, Pierre-Emmanuel and Soranzo, Nicole and Williams, Scott M and Hayward, Caroline and van der Harst, Pim and Hamsten, Anders and Lowenstein, Charles J and Strachan, David P and O{\textquoteright}Donnell, Christopher J} } @article {6667, title = {No evidence for genome-wide interactions on plasma fibrinogen by smoking, alcohol consumption and body mass index: results from meta-analyses of 80,607 subjects.}, journal = {PLoS One}, volume = {9}, year = {2014}, month = {2014}, pages = {e111156}, abstract = {

Plasma fibrinogen is an acute phase protein playing an important role in the blood coagulation cascade having strong associations with smoking, alcohol consumption and body mass index (BMI). Genome-wide association studies (GWAS) have identified a variety of gene regions associated with elevated plasma fibrinogen concentrations. However, little is yet known about how associations between environmental factors and fibrinogen might be modified by genetic variation. Therefore, we conducted large-scale meta-analyses of genome-wide interaction studies to identify possible interactions of genetic variants and smoking status, alcohol consumption or BMI on fibrinogen concentration. The present study included 80,607 subjects of European ancestry from 22 studies. Genome-wide interaction analyses were performed separately in each study for about 2.6 million single nucleotide polymorphisms (SNPs) across the 22 autosomal chromosomes. For each SNP and risk factor, we performed a linear regression under an additive genetic model including an interaction term between SNP and risk factor. Interaction estimates were meta-analysed using a fixed-effects model. No genome-wide significant interaction with smoking status, alcohol consumption or BMI was observed in the meta-analyses. The most suggestive interaction was found for smoking and rs10519203, located in the LOC123688 region on chromosome 15, with a p value of 6.2 {\texttimes} 10(-8). This large genome-wide interaction study including 80,607 participants found no strong evidence of interaction between genetic variants and smoking status, alcohol consumption or BMI on fibrinogen concentrations. Further studies are needed to yield deeper insight in the interplay between environmental factors and gene variants on the regulation of fibrinogen concentrations.

}, keywords = {Alcohol Drinking, Body Mass Index, Fibrinogen, Gene-Environment Interaction, Genomics, Humans, Smoking}, issn = {1932-6203}, doi = {10.1371/journal.pone.0111156}, author = {Baumert, Jens and Huang, Jie and McKnight, Barbara and Sabater-Lleal, Maria and Steri, Maristella and Chu, Audrey Y and Trompet, Stella and Lopez, Lorna M and Fornage, Myriam and Teumer, Alexander and Tang, Weihong and Rudnicka, Alicja R and M{\"a}larstig, Anders and Hottenga, Jouke-Jan and Kavousi, Maryam and Lahti, Jari and Tanaka, Toshiko and Hayward, Caroline and Huffman, Jennifer E and Morange, Pierre-Emmanuel and Rose, Lynda M and Basu, Saonli and Rumley, Ann and Stott, David J and Buckley, Brendan M and de Craen, Anton J M and Sanna, Serena and Masala, Marco and Biffar, Reiner and Homuth, Georg and Silveira, Angela and Sennblad, Bengt and Goel, Anuj and Watkins, Hugh and M{\"u}ller-Nurasyid, Martina and R{\"u}ckerl, Regina and Taylor, Kent and Chen, Ming-Huei and de Geus, Eco J C and Hofman, Albert and Witteman, Jacqueline C M and de Maat, Moniek P M and Palotie, Aarno and Davies, Gail and Siscovick, David S and Kolcic, Ivana and Wild, Sarah H and Song, Jaejoon and McArdle, Wendy L and Ford, Ian and Sattar, Naveed and Schlessinger, David and Grotevendt, Anne and Franzosi, Maria Grazia and Illig, Thomas and Waldenberger, Melanie and Lumley, Thomas and Tofler, Geoffrey H and Willemsen, Gonneke and Uitterlinden, Andr{\'e} G and Rivadeneira, Fernando and R{\"a}ikk{\"o}nen, Katri and Chasman, Daniel I and Folsom, Aaron R and Lowe, Gordon D and Westendorp, Rudi G J and Slagboom, P Eline and Cucca, Francesco and Wallaschofski, Henri and Strawbridge, Rona J and Seedorf, Udo and Koenig, Wolfgang and Bis, Joshua C and Mukamal, Kenneth J and van Dongen, Jenny and Widen, Elisabeth and Franco, Oscar H and Starr, John M and Liu, Kiang and Ferrucci, Luigi and Polasek, Ozren and Wilson, James F and Oudot-Mellakh, Tiphaine and Campbell, Harry and Navarro, Pau and Bandinelli, Stefania and Eriksson, Johan and Boomsma, Dorret I and Dehghan, Abbas and Clarke, Robert and Hamsten, Anders and Boerwinkle, Eric and Jukema, J Wouter and Naitza, Silvia and Ridker, Paul M and V{\"o}lzke, Henry and Deary, Ian J and Reiner, Alexander P and Tr{\'e}gou{\"e}t, David-Alexandre and O{\textquoteright}Donnell, Christopher J and Strachan, David P and Peters, Annette and Smith, Nicholas L} } @article {6591, title = {Pharmacogenetic meta-analysis of genome-wide association studies of LDL cholesterol response to statins.}, journal = {Nat Commun}, volume = {5}, year = {2014}, month = {2014 Oct 28}, pages = {5068}, abstract = {

Statins effectively lower LDL cholesterol levels in large studies and the observed interindividual response variability may be partially explained by genetic variation. Here we perform a pharmacogenetic meta-analysis of genome-wide association studies (GWAS) in studies addressing the LDL cholesterol response to statins, including up to 18,596 statin-treated subjects. We validate the most promising signals in a further 22,318 statin recipients and identify two loci, SORT1/CELSR2/PSRC1 and SLCO1B1, not previously identified in GWAS. Moreover, we confirm the previously described associations with APOE and LPA. Our findings advance the understanding of the pharmacogenetic architecture of statin response.

}, keywords = {Cholesterol, LDL, Genome-Wide Association Study, Humans, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Pharmacogenetics, Polymorphism, Single Nucleotide}, issn = {2041-1723}, doi = {10.1038/ncomms6068}, author = {Postmus, Iris and Trompet, Stella and Deshmukh, Harshal A and Barnes, Michael R and Li, Xiaohui and Warren, Helen R and Chasman, Daniel I and Zhou, Kaixin and Arsenault, Benoit J and Donnelly, Louise A and Wiggins, Kerri L and Avery, Christy L and Griffin, Paula and Feng, QiPing and Taylor, Kent D and Li, Guo and Evans, Daniel S and Smith, Albert V and de Keyser, Catherine E and Johnson, Andrew D and de Craen, Anton J M and Stott, David J and Buckley, Brendan M and Ford, Ian and Westendorp, Rudi G J and Slagboom, P Eline and Sattar, Naveed and Munroe, Patricia B and Sever, Peter and Poulter, Neil and Stanton, Alice and Shields, Denis C and O{\textquoteright}Brien, Eoin and Shaw-Hawkins, Sue and Chen, Y-D Ida and Nickerson, Deborah A and Smith, Joshua D and Dub{\'e}, Marie Pierre and Boekholdt, S Matthijs and Hovingh, G Kees and Kastelein, John J P and McKeigue, Paul M and Betteridge, John and Neil, Andrew and Durrington, Paul N and Doney, Alex and Carr, Fiona and Morris, Andrew and McCarthy, Mark I and Groop, Leif and Ahlqvist, Emma and Bis, Joshua C and Rice, Kenneth and Smith, Nicholas L and Lumley, Thomas and Whitsel, Eric A and St{\"u}rmer, Til and Boerwinkle, Eric and Ngwa, Julius S and O{\textquoteright}Donnell, Christopher J and Vasan, Ramachandran S and Wei, Wei-Qi and Wilke, Russell A and Liu, Ching-Ti and Sun, Fangui and Guo, Xiuqing and Heckbert, Susan R and Post, Wendy and Sotoodehnia, Nona and Arnold, Alice M and Stafford, Jeanette M and Ding, Jingzhong and Herrington, David M and Kritchevsky, Stephen B and Eiriksdottir, Gudny and Launer, Leonore J and Harris, Tamara B and Chu, Audrey Y and Giulianini, Franco and MacFadyen, Jean G and Barratt, Bryan J and Nyberg, Fredrik and Stricker, Bruno H and Uitterlinden, Andr{\'e} G and Hofman, Albert and Rivadeneira, Fernando and Emilsson, Valur and Franco, Oscar H and Ridker, Paul M and Gudnason, Vilmundur and Liu, Yongmei and Denny, Joshua C and Ballantyne, Christie M and Rotter, Jerome I and Adrienne Cupples, L and Psaty, Bruce M and Palmer, Colin N A and Tardif, Jean-Claude and Colhoun, Helen M and Hitman, Graham and Krauss, Ronald M and Wouter Jukema, J and Caulfield, Mark J} } @article {6875, title = {Drug-Gene Interactions of Antihypertensive Medications and Risk of Incident Cardiovascular Disease: A Pharmacogenomics Study from the CHARGE Consortium.}, journal = {PLoS One}, volume = {10}, year = {2015}, month = {2015}, pages = {e0140496}, abstract = {

BACKGROUND: Hypertension is a major risk factor for a spectrum of cardiovascular diseases (CVD), including myocardial infarction, sudden death, and stroke. In the US, over 65 million people have high blood pressure and a large proportion of these individuals are prescribed antihypertensive medications. Although large long-term clinical trials conducted in the last several decades have identified a number of effective antihypertensive treatments that reduce the risk of future clinical complications, responses to therapy and protection from cardiovascular events vary among individuals.

METHODS: Using a genome-wide association study among 21,267 participants with pharmaceutically treated hypertension, we explored the hypothesis that genetic variants might influence or modify the effectiveness of common antihypertensive therapies on the risk of major cardiovascular outcomes. The classes of drug treatments included angiotensin-converting enzyme inhibitors, beta-blockers, calcium channel blockers, and diuretics. In the setting of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, each study performed array-based genome-wide genotyping, imputed to HapMap Phase II reference panels, and used additive genetic models in proportional hazards or logistic regression models to evaluate drug-gene interactions for each of four therapeutic drug classes. We used meta-analysis to combine study-specific interaction estimates for approximately 2 million single nucleotide polymorphisms (SNPs) in a discovery analysis among 15,375 European Ancestry participants (3,527 CVD cases) with targeted follow-up in a case-only study of 1,751 European Ancestry GenHAT participants as well as among 4,141 African-Americans (1,267 CVD cases).

RESULTS: Although drug-SNP interactions were biologically plausible, exposures and outcomes were well measured, and power was sufficient to detect modest interactions, we did not identify any statistically significant interactions from the four antihypertensive therapy meta-analyses (Pinteraction > 5.0{\texttimes}10-8). Similarly, findings were null for meta-analyses restricted to 66 SNPs with significant main effects on coronary artery disease or blood pressure from large published genome-wide association studies (Pinteraction >= 0.01). Our results suggest that there are no major pharmacogenetic influences of common SNPs on the relationship between blood pressure medications and the risk of incident CVD.

}, keywords = {African Americans, Aged, Antihypertensive Agents, Cardiovascular Diseases, European Continental Ancestry Group, Female, Genome-Wide Association Study, Humans, Hypertension, Incidence, Male, Middle Aged, Polymorphism, Single Nucleotide, Treatment Outcome}, issn = {1932-6203}, doi = {10.1371/journal.pone.0140496}, author = {Bis, Joshua C and Sitlani, Colleen and Irvin, Ryan and Avery, Christy L and Smith, Albert Vernon and Sun, Fangui and Evans, Daniel S and Musani, Solomon K and Li, Xiaohui and Trompet, Stella and Krijthe, Bouwe P and Harris, Tamara B and Quibrera, P Miguel and Brody, Jennifer A and Demissie, Serkalem and Davis, Barry R and Wiggins, Kerri L and Tranah, Gregory J and Lange, Leslie A and Sotoodehnia, Nona and Stott, David J and Franco, Oscar H and Launer, Lenore J and St{\"u}rmer, Til and Taylor, Kent D and Cupples, L Adrienne and Eckfeldt, John H and Smith, Nicholas L and Liu, Yongmei and Wilson, James G and Heckbert, Susan R and Buckley, Brendan M and Ikram, M Arfan and Boerwinkle, Eric and Chen, Yii-Der Ida and de Craen, Anton J M and Uitterlinden, Andr{\'e} G and Rotter, Jerome I and Ford, Ian and Hofman, Albert and Sattar, Naveed and Slagboom, P Eline and Westendorp, Rudi G J and Gudnason, Vilmundur and Vasan, Ramachandran S and Lumley, Thomas and Cummings, Steven R and Taylor, Herman A and Post, Wendy and Jukema, J Wouter and Stricker, Bruno H and Whitsel, Eric A and Psaty, Bruce M and Arnett, Donna} } @article {6682, title = {Genome of The Netherlands population-specific imputations identify an ABCA6 variant associated with cholesterol levels.}, journal = {Nat Commun}, volume = {6}, year = {2015}, month = {2015}, pages = {6065}, abstract = {

Variants associated with blood lipid levels may be population-specific. To identify low-frequency variants associated with this phenotype, population-specific reference panels may be used. Here we impute nine large Dutch biobanks (~35,000 samples) with the population-specific reference panel created by the Genome of The Netherlands Project and perform association testing with blood lipid levels. We report the discovery of five novel associations at four loci (P value <6.61 {\texttimes} 10(-4)), including a rare missense variant in ABCA6 (rs77542162, p.Cys1359Arg, frequency 0.034), which is predicted to be deleterious. The frequency of this ABCA6 variant is 3.65-fold increased in the Dutch and its effect (βLDL-C=0.135, βTC=0.140) is estimated to be very similar to those observed for single variants in well-known lipid genes, such as LDLR.

}, keywords = {ATP-Binding Cassette Transporters, Cholesterol, Gene Frequency, Genetic Association Studies, Humans, Mutation, Missense, Netherlands}, issn = {2041-1723}, doi = {10.1038/ncomms7065}, author = {van Leeuwen, Elisabeth M and Karssen, Lennart C and Deelen, Joris and Isaacs, Aaron and Medina-G{\'o}mez, Carolina and Mbarek, Hamdi and Kanterakis, Alexandros and Trompet, Stella and Postmus, Iris and Verweij, Niek and van Enckevort, David J and Huffman, Jennifer E and White, Charles C and Feitosa, Mary F and Bartz, Traci M and Manichaikul, Ani and Joshi, Peter K and Peloso, Gina M and Deelen, Patrick and van Dijk, Freerk and Willemsen, Gonneke and de Geus, Eco J and Milaneschi, Yuri and Penninx, Brenda W J H and Francioli, Laurent C and Menelaou, Androniki and Pulit, Sara L and Rivadeneira, Fernando and Hofman, Albert and Oostra, Ben A and Franco, Oscar H and Mateo Leach, Irene and Beekman, Marian and de Craen, Anton J M and Uh, Hae-Won and Trochet, Holly and Hocking, Lynne J and Porteous, David J and Sattar, Naveed and Packard, Chris J and Buckley, Brendan M and Brody, Jennifer A and Bis, Joshua C and Rotter, Jerome I and Mychaleckyj, Josyf C and Campbell, Harry and Duan, Qing and Lange, Leslie A and Wilson, James F and Hayward, Caroline and Polasek, Ozren and Vitart, Veronique and Rudan, Igor and Wright, Alan F and Rich, Stephen S and Psaty, Bruce M and Borecki, Ingrid B and Kearney, Patricia M and Stott, David J and Adrienne Cupples, L and Jukema, J Wouter and van der Harst, Pim and Sijbrands, Eric J and Hottenga, Jouke-Jan and Uitterlinden, Andr{\'e} G and Swertz, Morris A and van Ommen, Gert-Jan B and de Bakker, Paul I W and Eline Slagboom, P and Boomsma, Dorret I and Wijmenga, Cisca and van Duijn, Cornelia M} } @article {6683, title = {Multiethnic genome-wide association study of cerebral white matter hyperintensities on MRI.}, journal = {Circ Cardiovasc Genet}, volume = {8}, year = {2015}, month = {2015 Apr}, pages = {398-409}, abstract = {

BACKGROUND: The burden of cerebral white matter hyperintensities (WMH) is associated with an increased risk of stroke, dementia, and death. WMH are highly heritable, but their genetic underpinnings are incompletely characterized. To identify novel genetic variants influencing WMH burden, we conducted a meta-analysis of multiethnic genome-wide association studies.

METHODS AND RESULTS: We included 21 079 middle-aged to elderly individuals from 29 population-based cohorts, who were free of dementia and stroke and were of European (n=17 936), African (n=1943), Hispanic (n=795), and Asian (n=405) descent. WMH burden was quantified on MRI either by a validated automated segmentation method or a validated visual grading scale. Genotype data in each study were imputed to the 1000 Genomes reference. Within each ethnic group, we investigated the relationship between each single-nucleotide polymorphism and WMH burden using a linear regression model adjusted for age, sex, intracranial volume, and principal components of ancestry. A meta-analysis was conducted for each ethnicity separately and for the combined sample. In the European descent samples, we confirmed a previously known locus on chr17q25 (P=2.7{\texttimes}10(-19)) and identified novel loci on chr10q24 (P=1.6{\texttimes}10(-9)) and chr2p21 (P=4.4{\texttimes}10(-8)). In the multiethnic meta-analysis, we identified 2 additional loci, on chr1q22 (P=2.0{\texttimes}10(-8)) and chr2p16 (P=1.5{\texttimes}10(-8)). The novel loci contained genes that have been implicated in Alzheimer disease (chr2p21 and chr10q24), intracerebral hemorrhage (chr1q22), neuroinflammatory diseases (chr2p21), and glioma (chr10q24 and chr2p16).

CONCLUSIONS: We identified 4 novel genetic loci that implicate inflammatory and glial proliferative pathways in the development of WMH in addition to previously proposed ischemic mechanisms.

}, keywords = {Aged, Aged, 80 and over, Chromosomes, Human, Continental Population Groups, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Meta-Analysis as Topic, Middle Aged, Models, Genetic, Stroke, White Matter}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.114.000858}, author = {Verhaaren, Benjamin F J and Debette, Stephanie and Bis, Joshua C and Smith, Jennifer A and Ikram, M Kamran and Adams, Hieab H and Beecham, Ashley H and Rajan, Kumar B and Lopez, Lorna M and Barral, Sandra and van Buchem, Mark A and van der Grond, Jeroen and Smith, Albert V and Hegenscheid, Katrin and Aggarwal, Neelum T and de Andrade, Mariza and Atkinson, Elizabeth J and Beekman, Marian and Beiser, Alexa S and Blanton, Susan H and Boerwinkle, Eric and Brickman, Adam M and Bryan, R Nick and Chauhan, Ganesh and Chen, Christopher P L H and Chouraki, Vincent and de Craen, Anton J M and Crivello, Fabrice and Deary, Ian J and Deelen, Joris and De Jager, Philip L and Dufouil, Carole and Elkind, Mitchell S V and Evans, Denis A and Freudenberger, Paul and Gottesman, Rebecca F and Gu{\dh}nason, Vilmundur and Habes, Mohamad and Heckbert, Susan R and Heiss, Gerardo and Hilal, Saima and Hofer, Edith and Hofman, Albert and Ibrahim-Verbaas, Carla A and Knopman, David S and Lewis, Cora E and Liao, Jiemin and Liewald, David C M and Luciano, Michelle and van der Lugt, Aad and Martinez, Oliver O and Mayeux, Richard and Mazoyer, Bernard and Nalls, Mike and Nauck, Matthias and Niessen, Wiro J and Oostra, Ben A and Psaty, Bruce M and Rice, Kenneth M and Rotter, Jerome I and von Sarnowski, Bettina and Schmidt, Helena and Schreiner, Pamela J and Schuur, Maaike and Sidney, Stephen S and Sigurdsson, Sigurdur and Slagboom, P Eline and Stott, David J M and van Swieten, John C and Teumer, Alexander and T{\"o}glhofer, Anna Maria and Traylor, Matthew and Trompet, Stella and Turner, Stephen T and Tzourio, Christophe and Uh, Hae-Won and Uitterlinden, Andr{\'e} G and Vernooij, Meike W and Wang, Jing J and Wong, Tien Y and Wardlaw, Joanna M and Windham, B Gwen and Wittfeld, Katharina and Wolf, Christiane and Wright, Clinton B and Yang, Qiong and Zhao, Wei and Zijdenbos, Alex and Jukema, J Wouter and Sacco, Ralph L and Kardia, Sharon L R and Amouyel, Philippe and Mosley, Thomas H and Longstreth, W T and DeCarli, Charles C and van Duijn, Cornelia M and Schmidt, Reinhold and Launer, Lenore J and Grabe, Hans J and Seshadri, Sudha S and Ikram, M Arfan and Fornage, Myriam} } @article {6861, title = {White Matter Lesion Progression: Genome-Wide Search for Genetic Influences.}, journal = {Stroke}, volume = {46}, year = {2015}, month = {2015 Nov}, pages = {3048-57}, abstract = {

BACKGROUND AND PURPOSE: White matter lesion (WML) progression on magnetic resonance imaging is related to cognitive decline and stroke, but its determinants besides baseline WML burden are largely unknown. Here, we estimated heritability of WML progression, and sought common genetic variants associated with WML progression in elderly participants from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.

METHODS: Heritability of WML progression was calculated in the Framingham Heart Study. The genome-wide association study included 7773 elderly participants from 10 cohorts. To assess the relative contribution of genetic factors to progression of WML, we compared in 7 cohorts risk models including demographics, vascular risk factors plus single-nucleotide polymorphisms that have been shown to be associated cross-sectionally with WML in the current and previous association studies.

RESULTS: A total of 1085 subjects showed WML progression. The heritability estimate for WML progression was low at 6.5\%, and no single-nucleotide polymorphisms achieved genome-wide significance (P<5{\texttimes}10(-8)). Four loci were suggestive (P<1{\texttimes}10(-5)) of an association with WML progression: 10q24.32 (rs10883817, P=1.46{\texttimes}10(-6)); 12q13.13 (rs4761974, P=8.71{\texttimes}10(-7)); 20p12.1 (rs6135309, P=3.69{\texttimes}10(-6)); and 4p15.31 (rs7664442, P=2.26{\texttimes}10(-6)). Variants that have been previously related to WML explained only 0.8\% to 11.7\% more of the variance in WML progression than age, vascular risk factors, and baseline WML burden.

CONCLUSIONS: Common genetic factors contribute little to the progression of age-related WML in middle-aged and older adults. Future research on determinants of WML progression should focus more on environmental, lifestyle, or host-related biological factors.

}, keywords = {Adult, Aged, Cohort Studies, Disease Progression, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Leukoencephalopathies, Male, Middle Aged, Prospective Studies, White Matter}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.115.009252}, author = {Hofer, Edith and Cavalieri, Margherita and Bis, Joshua C and DeCarli, Charles and Fornage, Myriam and Sigurdsson, Sigurdur and Srikanth, Velandai and Trompet, Stella and Verhaaren, Benjamin F J and Wolf, Christiane and Yang, Qiong and Adams, Hieab H H and Amouyel, Philippe and Beiser, Alexa and Buckley, Brendan M and Callisaya, Michele and Chauhan, Ganesh and de Craen, Anton J M and Dufouil, Carole and van Duijn, Cornelia M and Ford, Ian and Freudenberger, Paul and Gottesman, Rebecca F and Gudnason, Vilmundur and Heiss, Gerardo and Hofman, Albert and Lumley, Thomas and Martinez, Oliver and Mazoyer, Bernard and Moran, Chris and Niessen, Wiro J and Phan, Thanh and Psaty, Bruce M and Satizabal, Claudia L and Sattar, Naveed and Schilling, Sabrina and Shibata, Dean K and Slagboom, P Eline and Smith, Albert and Stott, David J and Taylor, Kent D and Thomson, Russell and T{\"o}glhofer, Anna M and Tzourio, Christophe and van Buchem, Mark and Wang, Jing and Westendorp, Rudi G J and Windham, B Gwen and Vernooij, Meike W and Zijdenbos, Alex and Beare, Richard and Debette, Stephanie and Ikram, M Arfan and Jukema, J Wouter and Launer, Lenore J and Longstreth, W T and Mosley, Thomas H and Seshadri, Sudha and Schmidt, Helena and Schmidt, Reinhold} } @article {6936, title = {A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration.}, journal = {Hum Mol Genet}, volume = {25}, year = {2016}, month = {2016 Jan 15}, pages = {358-70}, abstract = {

Genome-wide association studies have previously identified 23 genetic loci associated with circulating fibrinogen concentration. These studies used HapMap imputation and did not examine the X-chromosome. 1000 Genomes imputation provides better coverage of uncommon variants, and includes indels. We conducted a genome-wide association analysis of 34 studies imputed to the 1000 Genomes Project reference panel and including \~{}120 000 participants of European ancestry (95 806 participants with data on the X-chromosome). Approximately 10.7 million single-nucleotide polymorphisms and 1.2 million indels were examined. We identified 41 genome-wide significant fibrinogen loci; of which, 18 were newly identified. There were no genome-wide significant signals on the X-chromosome. The lead variants of five significant loci were indels. We further identified six additional independent signals, including three rare variants, at two previously characterized loci: FGB and IRF1. Together the 41 loci explain 3\% of the variance in plasma fibrinogen concentration.

}, issn = {1460-2083}, doi = {10.1093/hmg/ddv454}, author = {de Vries, Paul S and Chasman, Daniel I and Sabater-Lleal, Maria and Chen, Ming-Huei and Huffman, Jennifer E and Steri, Maristella and Tang, Weihong and Teumer, Alexander and Marioni, Riccardo E and Grossmann, Vera and Hottenga, Jouke J and Trompet, Stella and M{\"u}ller-Nurasyid, Martina and Zhao, Jing Hua and Brody, Jennifer A and Kleber, Marcus E and Guo, Xiuqing and Wang, Jie Jin and Auer, Paul L and Attia, John R and Yanek, Lisa R and Ahluwalia, Tarunveer S and Lahti, Jari and Venturini, Cristina and Tanaka, Toshiko and Bielak, Lawrence F and Joshi, Peter K and Rocanin-Arjo, Ares and Kolcic, Ivana and Navarro, Pau and Rose, Lynda M and Oldmeadow, Christopher and Riess, Helene and Mazur, Johanna and Basu, Saonli and Goel, Anuj and Yang, Qiong and Ghanbari, Mohsen and Willemsen, Gonneke and Rumley, Ann and Fiorillo, Edoardo and de Craen, Anton J M and Grotevendt, Anne and Scott, Robert and Taylor, Kent D and Delgado, Graciela E and Yao, Jie and Kifley, Annette and Kooperberg, Charles and Qayyum, Rehan and Lopez, Lorna M and Berentzen, Tina L and R{\"a}ikk{\"o}nen, Katri and Mangino, Massimo and Bandinelli, Stefania and Peyser, Patricia A and Wild, Sarah and Tr{\'e}gou{\"e}t, David-Alexandre and Wright, Alan F and Marten, Jonathan and Zemunik, Tatijana and Morrison, Alanna C and Sennblad, Bengt and Tofler, Geoffrey and de Maat, Moniek P M and de Geus, Eco J C and Lowe, Gordon D and Zoledziewska, Magdalena and Sattar, Naveed and Binder, Harald and V{\"o}lker, Uwe and Waldenberger, Melanie and Khaw, Kay-Tee and McKnight, Barbara and Huang, Jie and Jenny, Nancy S and Holliday, Elizabeth G and Qi, Lihong and Mcevoy, Mark G and Becker, Diane M and Starr, John M and Sarin, Antti-Pekka and Hysi, Pirro G and Hernandez, Dena G and Jhun, Min A and Campbell, Harry and Hamsten, Anders and Rivadeneira, Fernando and McArdle, Wendy L and Slagboom, P Eline and Zeller, Tanja and Koenig, Wolfgang and Psaty, Bruce M and Haritunians, Talin and Liu, Jingmin and Palotie, Aarno and Uitterlinden, Andr{\'e} G and Stott, David J and Hofman, Albert and Franco, Oscar H and Polasek, Ozren and Rudan, Igor and Morange, Pierre-Emmanuel and Wilson, James F and Kardia, Sharon L R and Ferrucci, Luigi and Spector, Tim D and Eriksson, Johan G and Hansen, Torben and Deary, Ian J and Becker, Lewis C and Scott, Rodney J and Mitchell, Paul and M{\"a}rz, Winfried and Wareham, Nick J and Peters, Annette and Greinacher, Andreas and Wild, Philipp S and Jukema, J Wouter and Boomsma, Dorret I and Hayward, Caroline and Cucca, Francesco and Tracy, Russell and Watkins, Hugh and Reiner, Alex P and Folsom, Aaron R and Ridker, Paul M and O{\textquoteright}Donnell, Christopher J and Smith, Nicholas L and Strachan, David P and Dehghan, Abbas} } @article {7011, title = {Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels.}, journal = {J Med Genet}, volume = {53}, year = {2016}, month = {2016 Jul}, pages = {441-9}, abstract = {

BACKGROUND: So far, more than 170 loci have been associated with circulating lipid levels through genome-wide association studies (GWAS). These associations are largely driven by common variants, their function is often not known, and many are likely to be markers for the causal variants. In this study we aimed to identify more new rare and low-frequency functional variants associated with circulating lipid levels.

METHODS: We used the 1000 Genomes Project as a reference panel for the imputations of GWAS data from \~{}60 000 individuals in the discovery stage and \~{}90 000 samples in the replication stage.

RESULTS: Our study resulted in the identification of five new associations with circulating lipid levels at four loci. All four loci are within genes that can be linked biologically to lipid metabolism. One of the variants, rs116843064, is a damaging missense variant within the ANGPTL4 gene.

CONCLUSIONS: This study illustrates that GWAS with high-scale imputation may still help us unravel the biological mechanism behind circulating lipid levels.

}, issn = {1468-6244}, doi = {10.1136/jmedgenet-2015-103439}, author = {van Leeuwen, Elisabeth M and Sabo, Aniko and Bis, Joshua C and Huffman, Jennifer E and Manichaikul, Ani and Smith, Albert V and Feitosa, Mary F and Demissie, Serkalem and Joshi, Peter K and Duan, Qing and Marten, Jonathan and van Klinken, Jan B and Surakka, Ida and Nolte, Ilja M and Zhang, Weihua and Mbarek, Hamdi and Li-Gao, Ruifang and Trompet, Stella and Verweij, Niek and Evangelou, Evangelos and Lyytik{\"a}inen, Leo-Pekka and Tayo, Bamidele O and Deelen, Joris and van der Most, Peter J and van der Laan, Sander W and Arking, Dan E and Morrison, Alanna and Dehghan, Abbas and Franco, Oscar H and Hofman, Albert and Rivadeneira, Fernando and Sijbrands, Eric J and Uitterlinden, Andr{\'e} G and Mychaleckyj, Josyf C and Campbell, Archie and Hocking, Lynne J and Padmanabhan, Sandosh and Brody, Jennifer A and Rice, Kenneth M and White, Charles C and Harris, Tamara and Isaacs, Aaron and Campbell, Harry and Lange, Leslie A and Rudan, Igor and Kolcic, Ivana and Navarro, Pau and Zemunik, Tatijana and Salomaa, Veikko and Kooner, Angad S and Kooner, Jaspal S and Lehne, Benjamin and Scott, William R and Tan, Sian-Tsung and de Geus, Eco J and Milaneschi, Yuri and Penninx, Brenda W J H and Willemsen, Gonneke and de Mutsert, Ren{\'e}e and Ford, Ian and Gansevoort, Ron T and Segura-Lepe, Marcelo P and Raitakari, Olli T and Viikari, Jorma S and Nikus, Kjell and Forrester, Terrence and McKenzie, Colin A and de Craen, Anton J M and de Ruijter, Hester M and Pasterkamp, Gerard and Snieder, Harold and Oldehinkel, Albertine J and Slagboom, P Eline and Cooper, Richard S and K{\"a}h{\"o}nen, Mika and Lehtim{\"a}ki, Terho and Elliott, Paul and van der Harst, Pim and Jukema, J Wouter and Mook-Kanamori, Dennis O and Boomsma, Dorret I and Chambers, John C and Swertz, Morris and Ripatti, Samuli and Willems van Dijk, Ko and Vitart, Veronique and Polasek, Ozren and Hayward, Caroline and Wilson, James G and Wilson, James F and Gudnason, Vilmundur and Rich, Stephen S and Psaty, Bruce M and Borecki, Ingrid B and Boerwinkle, Eric and Rotter, Jerome I and Cupples, L Adrienne and van Duijn, Cornelia M} } @article {7358, title = {Meta-analysis of genome-wide association studies of HDL cholesterol response to statins.}, journal = {J Med Genet}, volume = {53}, year = {2016}, month = {2016 Dec}, pages = {835-845}, abstract = {

BACKGROUND: In addition to lowering low density lipoprotein cholesterol (LDL-C), statin therapy also raises high density lipoprotein cholesterol (HDL-C) levels. Inter-individual variation in HDL-C response to statins may be partially explained by genetic variation.

METHODS AND RESULTS: We performed a meta-analysis of genome-wide association studies (GWAS) to identify variants with an effect on statin-induced high density lipoprotein cholesterol (HDL-C) changes. The 123 most promising signals with p<1{\texttimes}10(-4) from the 16 769 statin-treated participants in the first analysis stage were followed up in an independent group of 10 951 statin-treated individuals, providing a total sample size of 27 720 individuals. The only associations of genome-wide significance (p<5{\texttimes}10(-8)) were between minor alleles at the CETP locus and greater HDL-C response to statin treatment.

CONCLUSIONS: Based on results from this study that included a relatively large sample size, we suggest that CETP may be the only detectable locus with common genetic variants that influence HDL-C response to statins substantially in individuals of European descent. Although CETP is known to be associated with HDL-C, we provide evidence that this pharmacogenetic effect is independent of its association with baseline HDL-C levels.

}, issn = {1468-6244}, doi = {10.1136/jmedgenet-2016-103966}, author = {Postmus, Iris and Warren, Helen R and Trompet, Stella and Arsenault, Benoit J and Avery, Christy L and Bis, Joshua C and Chasman, Daniel I and de Keyser, Catherine E and Deshmukh, Harshal A and Evans, Daniel S and Feng, QiPing and Li, Xiaohui and Smit, Roelof A J and Smith, Albert V and Sun, Fangui and Taylor, Kent D and Arnold, Alice M and Barnes, Michael R and Barratt, Bryan J and Betteridge, John and Boekholdt, S Matthijs and Boerwinkle, Eric and Buckley, Brendan M and Chen, Y-D Ida and de Craen, Anton J M and Cummings, Steven R and Denny, Joshua C and Dub{\'e}, Marie Pierre and Durrington, Paul N and Eiriksdottir, Gudny and Ford, Ian and Guo, Xiuqing and Harris, Tamara B and Heckbert, Susan R and Hofman, Albert and Hovingh, G Kees and Kastelein, John J P and Launer, Leonore J and Liu, Ching-Ti and Liu, Yongmei and Lumley, Thomas and McKeigue, Paul M and Munroe, Patricia B and Neil, Andrew and Nickerson, Deborah A and Nyberg, Fredrik and O{\textquoteright}Brien, Eoin and O{\textquoteright}Donnell, Christopher J and Post, Wendy and Poulter, Neil and Vasan, Ramachandran S and Rice, Kenneth and Rich, Stephen S and Rivadeneira, Fernando and Sattar, Naveed and Sever, Peter and Shaw-Hawkins, Sue and Shields, Denis C and Slagboom, P Eline and Smith, Nicholas L and Smith, Joshua D and Sotoodehnia, Nona and Stanton, Alice and Stott, David J and Stricker, Bruno H and St{\"u}rmer, Til and Uitterlinden, Andr{\'e} G and Wei, Wei-Qi and Westendorp, Rudi G J and Whitsel, Eric A and Wiggins, Kerri L and Wilke, Russell A and Ballantyne, Christie M and Colhoun, Helen M and Cupples, L Adrienne and Franco, Oscar H and Gudnason, Vilmundur and Hitman, Graham and Palmer, Colin N A and Psaty, Bruce M and Ridker, Paul M and Stafford, Jeanette M and Stein, Charles M and Tardif, Jean-Claude and Caulfield, Mark J and Jukema, J Wouter and Rotter, Jerome I and Krauss, Ronald M} } @article {7343, title = {Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study.}, journal = {PLoS One}, volume = {12}, year = {2017}, month = {2017}, pages = {e0167742}, abstract = {

An increasing number of genome-wide association (GWA) studies are now using the higher resolution 1000 Genomes Project reference panel (1000G) for imputation, with the expectation that 1000G imputation will lead to the discovery of additional associated loci when compared to HapMap imputation. In order to assess the improvement of 1000G over HapMap imputation in identifying associated loci, we compared the results of GWA studies of circulating fibrinogen based on the two reference panels. Using both HapMap and 1000G imputation we performed a meta-analysis of 22 studies comprising the same 91,953 individuals. We identified six additional signals using 1000G imputation, while 29 loci were associated using both HapMap and 1000G imputation. One locus identified using HapMap imputation was not significant using 1000G imputation. The genome-wide significance threshold of 5{\texttimes}10-8 is based on the number of independent statistical tests using HapMap imputation, and 1000G imputation may lead to further independent tests that should be corrected for. When using a stricter Bonferroni correction for the 1000G GWA study (P-value < 2.5{\texttimes}10-8), the number of loci significant only using HapMap imputation increased to 4 while the number of loci significant only using 1000G decreased to 5. In conclusion, 1000G imputation enabled the identification of 20\% more loci than HapMap imputation, although the advantage of 1000G imputation became less clear when a stricter Bonferroni correction was used. More generally, our results provide insights that are applicable to the implementation of other dense reference panels that are under development.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0167742}, author = {de Vries, Paul S and Sabater-Lleal, Maria and Chasman, Daniel I and Trompet, Stella and Ahluwalia, Tarunveer S and Teumer, Alexander and Kleber, Marcus E and Chen, Ming-Huei and Wang, Jie Jin and Attia, John R and Marioni, Riccardo E and Steri, Maristella and Weng, Lu-Chen and Pool, Rene and Grossmann, Vera and Brody, Jennifer A and Venturini, Cristina and Tanaka, Toshiko and Rose, Lynda M and Oldmeadow, Christopher and Mazur, Johanna and Basu, Saonli and Fr{\r a}nberg, Mattias and Yang, Qiong and Ligthart, Symen and Hottenga, Jouke J and Rumley, Ann and Mulas, Antonella and de Craen, Anton J M and Grotevendt, Anne and Taylor, Kent D and Delgado, Graciela E and Kifley, Annette and Lopez, Lorna M and Berentzen, Tina L and Mangino, Massimo and Bandinelli, Stefania and Morrison, Alanna C and Hamsten, Anders and Tofler, Geoffrey and de Maat, Moniek P M and Draisma, Harmen H M and Lowe, Gordon D and Zoledziewska, Magdalena and Sattar, Naveed and Lackner, Karl J and V{\"o}lker, Uwe and McKnight, Barbara and Huang, Jie and Holliday, Elizabeth G and McEvoy, Mark A and Starr, John M and Hysi, Pirro G and Hernandez, Dena G and Guan, Weihua and Rivadeneira, Fernando and McArdle, Wendy L and Slagboom, P Eline and Zeller, Tanja and Psaty, Bruce M and Uitterlinden, Andr{\'e} G and de Geus, Eco J C and Stott, David J and Binder, Harald and Hofman, Albert and Franco, Oscar H and Rotter, Jerome I and Ferrucci, Luigi and Spector, Tim D and Deary, Ian J and M{\"a}rz, Winfried and Greinacher, Andreas and Wild, Philipp S and Cucca, Francesco and Boomsma, Dorret I and Watkins, Hugh and Tang, Weihong and Ridker, Paul M and Jukema, Jan W and Scott, Rodney J and Mitchell, Paul and Hansen, Torben and O{\textquoteright}Donnell, Christopher J and Smith, Nicholas L and Strachan, David P and Dehghan, Abbas} } @article {7920, title = {Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders.}, journal = {Am J Hum Genet}, volume = {103}, year = {2018}, month = {2018 Nov 01}, pages = {691-706}, abstract = {

C-reactive protein (CRP) is a sensitive biomarker of chronic low-grade inflammation and is associated with multiple complex diseases. The genetic determinants of chronic inflammation remain largely unknown, and the causal role of CRP in several clinical outcomes is debated. We performed two genome-wide association studies (GWASs), on HapMap and 1000 Genomes imputed data, of circulating amounts of CRP by using data from 88 studies comprising 204,402 European individuals. Additionally, we performed in silico functional analyses and Mendelian randomization analyses with several clinical outcomes. The GWAS meta-analyses of CRP revealed 58 distinct genetic loci (p < 5~{\texttimes} 10). After adjustment for body mass index in the regression analysis, the associations at all except three loci remained. The lead variants at the distinct loci explained up to 7.0\% of the variance in circulating amounts of CRP. We identified 66 gene sets that were organized in two substantially correlated clusters, one mainly composed of immune pathways and the other characterized by metabolic pathways in the liver. Mendelian randomization analyses revealed a causal protective effect of CRP on schizophrenia and a risk-increasing effect on bipolar disorder. Our findings provide further insights into the biology of inflammation and could lead to interventions for treating inflammation and its clinical consequences.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2018.09.009}, author = {Ligthart, Symen and Vaez, Ahmad and V{\~o}sa, Urmo and Stathopoulou, Maria G and de Vries, Paul S and Prins, Bram P and van der Most, Peter J and Tanaka, Toshiko and Naderi, Elnaz and Rose, Lynda M and Wu, Ying and Karlsson, Robert and Barbalic, Maja and Lin, Honghuang and Pool, Rene and Zhu, Gu and Mace, Aurelien and Sidore, Carlo and Trompet, Stella and Mangino, Massimo and Sabater-Lleal, Maria and Kemp, John P and Abbasi, Ali and Kacprowski, Tim and Verweij, Niek and Smith, Albert V and Huang, Tao and Marzi, Carola and Feitosa, Mary F and Lohman, Kurt K and Kleber, Marcus E and Milaneschi, Yuri and Mueller, Christian and Huq, Mahmudul and Vlachopoulou, Efthymia and Lyytik{\"a}inen, Leo-Pekka and Oldmeadow, Christopher and Deelen, Joris and Perola, Markus and Zhao, Jing Hua and Feenstra, Bjarke and Amini, Marzyeh and Lahti, Jari and Schraut, Katharina E and Fornage, Myriam and Suktitipat, Bhoom and Chen, Wei-Min and Li, Xiaohui and Nutile, Teresa and Malerba, Giovanni and Luan, Jian{\textquoteright}an and Bak, Tom and Schork, Nicholas and del Greco M, Fabiola and Thiering, Elisabeth and Mahajan, Anubha and Marioni, Riccardo E and Mihailov, Evelin and Eriksson, Joel and Ozel, Ayse Bilge and Zhang, Weihua and Nethander, Maria and Cheng, Yu-Ching and Aslibekyan, Stella and Ang, Wei and Gandin, Ilaria and Yengo, Loic and Portas, Laura and Kooperberg, Charles and Hofer, Edith and Rajan, Kumar B and Schurmann, Claudia and den Hollander, Wouter and Ahluwalia, Tarunveer S and Zhao, Jing and Draisma, Harmen H M and Ford, Ian and Timpson, Nicholas and Teumer, Alexander and Huang, Hongyan and Wahl, Simone and Liu, Yongmei and Huang, Jie and Uh, Hae-Won and Geller, Frank and Joshi, Peter K and Yanek, Lisa R and Trabetti, Elisabetta and Lehne, Benjamin and Vozzi, Diego and Verbanck, Marie and Biino, Ginevra and Saba, Yasaman and Meulenbelt, Ingrid and O{\textquoteright}Connell, Jeff R and Laakso, Markku and Giulianini, Franco and Magnusson, Patrik K E and Ballantyne, Christie M and Hottenga, Jouke Jan and Montgomery, Grant W and Rivadineira, Fernando and Rueedi, Rico and Steri, Maristella and Herzig, Karl-Heinz and Stott, David J and Menni, Cristina and Fr{\r a}nberg, Mattias and St Pourcain, Beate and Felix, Stephan B and Pers, Tune H and Bakker, Stephan J L and Kraft, Peter and Peters, Annette and Vaidya, Dhananjay and Delgado, Graciela and Smit, Johannes H and Gro{\ss}mann, Vera and Sinisalo, Juha and Sepp{\"a}l{\"a}, Ilkka and Williams, Stephen R and Holliday, Elizabeth G and Moed, Matthijs and Langenberg, Claudia and R{\"a}ikk{\"o}nen, Katri and Ding, Jingzhong and Campbell, Harry and Sale, Mich{\`e}le M and Chen, Yii-der I and James, Alan L and Ruggiero, Daniela and Soranzo, Nicole and Hartman, Catharina A and Smith, Erin N and Berenson, Gerald S and Fuchsberger, Christian and Hernandez, Dena and Tiesler, Carla M T and Giedraitis, Vilmantas and Liewald, David and Fischer, Krista and Mellstr{\"o}m, Dan and Larsson, Anders and Wang, Yunmei and Scott, William R and Lorentzon, Matthias and Beilby, John and Ryan, Kathleen A and Pennell, Craig E and Vuckovic, Dragana and Balkau, Beverly and Concas, Maria Pina and Schmidt, Reinhold and Mendes de Leon, Carlos F and Bottinger, Erwin P and Kloppenburg, Margreet and Paternoster, Lavinia and Boehnke, Michael and Musk, A W and Willemsen, Gonneke and Evans, David M and Madden, Pamela A F and K{\"a}h{\"o}nen, Mika and Kutalik, Zolt{\'a}n and Zoledziewska, Magdalena and Karhunen, Ville and Kritchevsky, Stephen B and Sattar, Naveed and Lachance, Genevieve and Clarke, Robert and Harris, Tamara B and Raitakari, Olli T and Attia, John R and van Heemst, Diana and Kajantie, Eero and Sorice, Rossella and Gambaro, Giovanni and Scott, Robert A and Hicks, Andrew A and Ferrucci, Luigi and Standl, Marie and Lindgren, Cecilia M and Starr, John M and Karlsson, Magnus and Lind, Lars and Li, Jun Z and Chambers, John C and Mori, Trevor A and de Geus, Eco J C N and Heath, Andrew C and Martin, Nicholas G and Auvinen, Juha and Buckley, Brendan M and de Craen, Anton J M and Waldenberger, Melanie and Strauch, Konstantin and Meitinger, Thomas and Scott, Rodney J and McEvoy, Mark and Beekman, Marian and Bombieri, Cristina and Ridker, Paul M and Mohlke, Karen L and Pedersen, Nancy L and Morrison, Alanna C and Boomsma, Dorret I and Whitfield, John B and Strachan, David P and Hofman, Albert and Vollenweider, Peter and Cucca, Francesco and Jarvelin, Marjo-Riitta and Jukema, J Wouter and Spector, Tim D and Hamsten, Anders and Zeller, Tanja and Uitterlinden, Andr{\'e} G and Nauck, Matthias and Gudnason, Vilmundur and Qi, Lu and Grallert, Harald and Borecki, Ingrid B and Rotter, Jerome I and M{\"a}rz, Winfried and Wild, Philipp S and Lokki, Marja-Liisa and Boyle, Michael and Salomaa, Veikko and Melbye, Mads and Eriksson, Johan G and Wilson, James F and Penninx, Brenda W J H and Becker, Diane M and Worrall, Bradford B and Gibson, Greg and Krauss, Ronald M and Ciullo, Marina and Zaza, Gianluigi and Wareham, Nicholas J and Oldehinkel, Albertine J and Palmer, Lyle J and Murray, Sarah S and Pramstaller, Peter P and Bandinelli, Stefania and Heinrich, Joachim and Ingelsson, Erik and Deary, Ian J and M{\"a}gi, Reedik and Vandenput, Liesbeth and van der Harst, Pim and Desch, Karl C and Kooner, Jaspal S and Ohlsson, Claes and Hayward, Caroline and Lehtim{\"a}ki, Terho and Shuldiner, Alan R and Arnett, Donna K and Beilin, Lawrence J and Robino, Antonietta and Froguel, Philippe and Pirastu, Mario and Jess, Tine and Koenig, Wolfgang and Loos, Ruth J F and Evans, Denis A and Schmidt, Helena and Smith, George Davey and Slagboom, P Eline and Eiriksdottir, Gudny and Morris, Andrew P and Psaty, Bruce M and Tracy, Russell P and Nolte, Ilja M and Boerwinkle, Eric and Visvikis-Siest, Sophie and Reiner, Alex P and Gross, Myron and Bis, Joshua C and Franke, Lude and Franco, Oscar H and Benjamin, Emelia J and Chasman, Daniel I and Dupuis, Jos{\'e}e and Snieder, Harold and Dehghan, Abbas and Alizadeh, Behrooz Z} } @article {7805, title = {Low thyroid function is not associated with an accelerated deterioration in renal function.}, journal = {Nephrol Dial Transplant}, year = {2018}, month = {2018 Apr 18}, abstract = {

Background: Chronic kidney disease (CKD) is frequently accompanied by thyroid hormone dysfunction. It is currently unclear whether these alterations are the cause or consequence of CKD. This study aimed at studying the effect of thyroid hormone alterations on renal function in cross-sectional and longitudinal analyses in individuals from all adult age groups.

Methods: Individual participant data (IPD) from 16 independent cohorts having measured thyroid stimulating hormone, free thyroxine levels and creatinine levels were included. Thyroid hormone status was defined using clinical cut-off values. Estimated glomerular filtration rates (eGFR) were calculated by means of the four-variable Modification of Diet in Renal Disease (MDRD) formula. For this IPD meta-analysis, eGFR at baseline and eGFR change during follow-up were computed by fitting linear regression models and linear mixed models in each cohort separately. Effect estimates were pooled using random effects models.

Results: A total of 72~856 individuals from 16 different cohorts were included. At baseline, individuals with overt hypothyroidism (n = 704) and subclinical hypothyroidism (n = 3356) had a average (95\% confidence interval) -4.07 (-6.37 to -1.78) and -2.40 (-3.78 to -1.02) mL/min/1.73 m2 lower eGFR as compared with euthyroid subjects (n = 66~542). In (subclinical) hyperthyroid subjects (n = 2254), average eGFR was 3.01 (1.50-4.52) mL/min/1.73 m2 higher. During 329~713 patient years of follow-up, eGFR did not decline more rapidly in individuals with low thyroid function compared with individuals with normal thyroid function.

Conclusions: Low thyroid function is not associated with a deterioration of renal function. The cross-sectional association may be explained by renal dysfunction causing thyroid hormone alterations.

}, issn = {1460-2385}, doi = {10.1093/ndt/gfy071}, author = {Meuwese, Christiaan L and van Diepen, Merel and Cappola, Anne R and Sarnak, Mark J and Shlipak, Michael G and Bauer, Douglas C and Fried, Linda P and Iacoviello, Massimo and Vaes, Bert and Degryse, Jean and Khaw, Kay-Tee and Luben, Robert N and Asvold, Bj{\o}rn O and Bj{\o}ro, Trine and Vatten, Lars J and de Craen, Anton J M and Trompet, Stella and Iervasi, Giorgio and Molinaro, Sabrina and Ceresini, Graziano and Ferrucci, Luigi and Dullaart, Robin P F and Bakker, Stephan J L and Jukema, J Wouter and Kearney, Patricia M and Stott, David J and Peeters, Robin P and Franco, Oscar H and V{\"o}lzke, Henry and Walsh, John P and Bremner, Alexandra and Sgarbi, Jos{\'e} A and Maciel, Rui M B and Imaizumi, Misa and Ohishi, Waka and Dekker, Friedo W and Rodondi, Nicolas and Gussekloo, Jacobijn and den Elzen, Wendy P J} }