@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 {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 {6175, title = {FTO genotype is associated with phenotypic variability of body mass index.}, journal = {Nature}, volume = {490}, year = {2012}, month = {2012 Oct 11}, pages = {267-72}, abstract = {

There is evidence across several species for genetic control of phenotypic variation of complex traits, such that the variance among phenotypes is genotype dependent. Understanding genetic control of variability is important in evolutionary biology, agricultural selection programmes and human medicine, yet for complex traits, no individual genetic variants associated with variance, as opposed to the mean, have been identified. Here we perform a meta-analysis of genome-wide association studies of phenotypic variation using \~{}170,000 samples on height and body mass index (BMI) in human populations. We report evidence that the single nucleotide polymorphism (SNP) rs7202116 at the FTO gene locus, which is known to be associated with obesity (as measured by mean BMI for each rs7202116 genotype), is also associated with phenotypic variability. We show that the results are not due to scale effects or other artefacts, and find no other experiment-wise significant evidence for effects on variability, either at loci other than FTO for BMI or at any locus for height. The difference in variance for BMI among individuals with opposite homozygous genotypes at the FTO locus is approximately 7\%, corresponding to a difference of \~{}0.5 kilograms in the standard deviation of weight. Our results indicate that genetic variants can be discovered that are associated with variability, and that between-person variability in obesity can partly be explained by the genotype at the FTO locus. The results are consistent with reported FTO by environment interactions for BMI, possibly mediated by DNA methylation. Our BMI results for other SNPs and our height results for all SNPs suggest that most genetic variants, including those that influence mean height or mean BMI, are not associated with phenotypic variance, or that their effects on variability are too small to detect even with samples sizes greater than 100,000.

}, keywords = {Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Body Height, Body Mass Index, Co-Repressor Proteins, Female, Genetic Variation, Genome-Wide Association Study, Humans, Male, Nerve Tissue Proteins, Phenotype, Polymorphism, Single Nucleotide, Proteins, Repressor Proteins}, issn = {1476-4687}, doi = {10.1038/nature11401}, author = {Yang, Jian and Loos, Ruth J F and Powell, Joseph E and Medland, Sarah E and Speliotes, Elizabeth K and Chasman, Daniel I and Rose, Lynda M and Thorleifsson, Gudmar and Steinthorsdottir, Valgerdur and M{\"a}gi, Reedik and Waite, Lindsay and Smith, Albert Vernon and Yerges-Armstrong, Laura M and Monda, Keri L and Hadley, David and Mahajan, Anubha and Li, Guo and Kapur, Karen and Vitart, Veronique and Huffman, Jennifer E and Wang, Sophie R and Palmer, Cameron and Esko, T{\~o}nu and Fischer, Krista and Zhao, Jing Hua and Demirkan, Ayse and Isaacs, Aaron and Feitosa, Mary F and Luan, Jian{\textquoteright}an and Heard-Costa, Nancy L and White, Charles and Jackson, Anne U and Preuss, Michael and Ziegler, Andreas and Eriksson, Joel and Kutalik, Zolt{\'a}n and Frau, Francesca and Nolte, Ilja M and van Vliet-Ostaptchouk, Jana V and Hottenga, Jouke-Jan and Jacobs, Kevin B and Verweij, Niek and Goel, Anuj and Medina-G{\'o}mez, Carolina and Estrada, Karol and Bragg-Gresham, Jennifer Lynn and Sanna, Serena and Sidore, Carlo and Tyrer, Jonathan and Teumer, Alexander and Prokopenko, Inga and Mangino, Massimo and Lindgren, Cecilia M and Assimes, Themistocles L and Shuldiner, Alan R and Hui, Jennie and Beilby, John P and McArdle, Wendy L and Hall, Per and Haritunians, Talin and Zgaga, Lina and Kolcic, Ivana and Polasek, Ozren and Zemunik, Tatijana and Oostra, Ben A and Junttila, M Juhani and Gr{\"o}nberg, Henrik and Schreiber, Stefan and Peters, Annette and Hicks, Andrew A and Stephens, Jonathan and Foad, Nicola S and Laitinen, Jaana and Pouta, Anneli and Kaakinen, Marika and Willemsen, Gonneke and Vink, Jacqueline M and Wild, Sarah H and Navis, Gerjan and Asselbergs, Folkert W and Homuth, Georg and John, Ulrich and Iribarren, Carlos and Harris, Tamara and Launer, Lenore and Gudnason, Vilmundur and O{\textquoteright}Connell, Jeffrey R and Boerwinkle, Eric and Cadby, Gemma and Palmer, Lyle J and James, Alan L and Musk, Arthur W and Ingelsson, Erik and Psaty, Bruce M and Beckmann, Jacques S and Waeber, G{\'e}rard and Vollenweider, Peter and Hayward, Caroline and Wright, Alan F and Rudan, Igor and Groop, Leif C and Metspalu, Andres and Khaw, Kay Tee and van Duijn, Cornelia M and Borecki, Ingrid B and Province, Michael A and Wareham, Nicholas J and Tardif, Jean-Claude and Huikuri, Heikki V and Cupples, L Adrienne and Atwood, Larry D and Fox, Caroline S and Boehnke, Michael and Collins, Francis S and Mohlke, Karen L and Erdmann, Jeanette and Schunkert, Heribert and Hengstenberg, Christian and Stark, Klaus and Lorentzon, Mattias and Ohlsson, Claes and Cusi, Daniele and Staessen, Jan A and van der Klauw, Melanie M and Pramstaller, Peter P and Kathiresan, Sekar and Jolley, Jennifer D and Ripatti, Samuli and Jarvelin, Marjo-Riitta and de Geus, Eco J C and Boomsma, Dorret I and Penninx, Brenda and Wilson, James F and Campbell, Harry and Chanock, Stephen J and van der Harst, Pim and Hamsten, Anders and Watkins, Hugh and Hofman, Albert and Witteman, Jacqueline C and Zillikens, M Carola and Uitterlinden, Andr{\'e} G and Rivadeneira, Fernando and Zillikens, M Carola and Kiemeney, Lambertus A and Vermeulen, Sita H and Abecasis, Goncalo R and Schlessinger, David and Schipf, Sabine and Stumvoll, Michael and T{\"o}njes, Anke and Spector, Tim D and North, Kari E and Lettre, Guillaume and McCarthy, Mark I and Berndt, Sonja I and Heath, Andrew C and Madden, Pamela A F and Nyholt, Dale R and Montgomery, Grant W and Martin, Nicholas G and McKnight, Barbara and Strachan, David P and Hill, William G and Snieder, Harold and Ridker, Paul M and Thorsteinsdottir, Unnur and Stefansson, Kari and Frayling, Timothy M and Hirschhorn, Joel N and Goddard, Michael E and Visscher, Peter M} } @article {6155, title = {Multiethnic meta-analysis of genome-wide association studies in >100 000 subjects identifies 23 fibrinogen-associated Loci but no strong evidence of a causal association between circulating fibrinogen and cardiovascular disease.}, journal = {Circulation}, volume = {128}, year = {2013}, month = {2013 Sep 17}, pages = {1310-24}, abstract = {

BACKGROUND: Estimates of the heritability of plasma fibrinogen concentration, an established predictor of cardiovascular disease, range from 34\% to 50\%. Genetic variants so far identified by genome-wide association studies explain only a small proportion (<2\%) of its variation.

METHODS AND RESULTS: We conducted a meta-analysis of 28 genome-wide association studies including >90 000 subjects of European ancestry, the first genome-wide association meta-analysis of fibrinogen levels in 7 studies in blacks totaling 8289 samples, and a genome-wide association study in Hispanics totaling 1366 samples. Evaluation for association of single-nucleotide polymorphisms with clinical outcomes included a total of 40 695 cases and 85 582 controls for coronary artery disease, 4752 cases and 24 030 controls for stroke, and 3208 cases and 46 167 controls for venous thromboembolism. Overall, we identified 24 genome-wide significant (P<5{\texttimes}10(-8)) independent signals in 23 loci, including 15 novel associations, together accounting for 3.7\% of plasma fibrinogen variation. Gene-set enrichment analysis highlighted key roles in fibrinogen regulation for the 3 structural fibrinogen genes and pathways related to inflammation, adipocytokines, and thyrotrophin-releasing hormone signaling. Whereas lead single-nucleotide polymorphisms in a few loci were significantly associated with coronary artery disease, the combined effect of all 24 fibrinogen-associated lead single-nucleotide polymorphisms was not significant for coronary artery disease, stroke, or venous thromboembolism.

CONCLUSIONS: We identify 23 robustly associated fibrinogen loci, 15 of which are new. Clinical outcome analysis of these loci does not support a causal relationship between circulating levels of fibrinogen and coronary artery disease, stroke, or venous thromboembolism.

}, keywords = {Adolescent, Adult, African Continental Ancestry Group, Aged, Aged, 80 and over, Cardiovascular Diseases, Coronary Artery Disease, European Continental Ancestry Group, Female, Fibrinogen, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Hispanic Americans, Humans, Male, Middle Aged, Myocardial Infarction, Polymorphism, Single Nucleotide, Risk Factors, Stroke, Venous Thromboembolism, Young Adult}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.113.002251}, author = {Sabater-Lleal, Maria and Huang, Jie and Chasman, Daniel and Naitza, Silvia and Dehghan, Abbas and Johnson, Andrew D and Teumer, Alexander and Reiner, Alex P and Folkersen, Lasse and Basu, Saonli and Rudnicka, Alicja R and Trompet, Stella and M{\"a}larstig, Anders and Baumert, Jens and Bis, Joshua C and Guo, Xiuqing and Hottenga, Jouke J and Shin, So-Youn and Lopez, Lorna M and Lahti, Jari and Tanaka, Toshiko and Yanek, Lisa R and Oudot-Mellakh, Tiphaine and Wilson, James F and Navarro, Pau and Huffman, Jennifer E and Zemunik, Tatijana and Redline, Susan and Mehra, Reena and Pulanic, Drazen and Rudan, Igor and Wright, Alan F and Kolcic, Ivana and Polasek, Ozren and Wild, Sarah H and Campbell, Harry and Curb, J David and Wallace, Robert and Liu, Simin and Eaton, Charles B and Becker, Diane M and Becker, Lewis C and Bandinelli, Stefania and R{\"a}ikk{\"o}nen, Katri and Widen, Elisabeth and Palotie, Aarno and Fornage, Myriam and Green, David and Gross, Myron and Davies, Gail and Harris, Sarah E and Liewald, David C and Starr, John M and Williams, Frances M K and Grant, Peter J and Spector, Timothy D and Strawbridge, Rona J and Silveira, Angela and Sennblad, Bengt and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Franco, Oscar H and Hofman, Albert and van Dongen, Jenny and Willemsen, Gonneke and Boomsma, Dorret I and Yao, Jie and Swords Jenny, Nancy and Haritunians, Talin and McKnight, Barbara and Lumley, Thomas and Taylor, Kent D and Rotter, Jerome I and Psaty, Bruce M and Peters, Annette and Gieger, Christian and Illig, Thomas and Grotevendt, Anne and Homuth, Georg and V{\"o}lzke, Henry and Kocher, Thomas and Goel, Anuj and Franzosi, Maria Grazia and Seedorf, Udo and Clarke, Robert and Steri, Maristella and Tarasov, Kirill V and Sanna, Serena and Schlessinger, David and Stott, David J and Sattar, Naveed and Buckley, Brendan M and Rumley, Ann and Lowe, Gordon D and McArdle, Wendy L and Chen, Ming-Huei and Tofler, Geoffrey H and Song, Jaejoon and Boerwinkle, Eric and Folsom, Aaron R and Rose, Lynda M and Franco-Cereceda, Anders and Teichert, Martina and Ikram, M Arfan and Mosley, Thomas H and Bevan, Steve and Dichgans, Martin and Rothwell, Peter M and Sudlow, Cathie L M and Hopewell, Jemma C and Chambers, John C and Saleheen, Danish and Kooner, Jaspal S and Danesh, John and Nelson, Christopher P and Erdmann, Jeanette and Reilly, Muredach P and Kathiresan, Sekar and Schunkert, Heribert and Morange, Pierre-Emmanuel and Ferrucci, Luigi and Eriksson, Johan G and Jacobs, David and Deary, Ian J and Soranzo, Nicole and Witteman, Jacqueline C M and de Geus, Eco J C and Tracy, Russell P and Hayward, Caroline and Koenig, Wolfgang and Cucca, Francesco and Jukema, J Wouter and Eriksson, Per and Seshadri, Sudha and Markus, Hugh S and Watkins, Hugh and Samani, Nilesh J and Wallaschofski, Henri and Smith, Nicholas L and Tregouet, David and Ridker, Paul M and Tang, Weihong and Strachan, David P and Hamsten, Anders and O{\textquoteright}Donnell, Christopher J} } @article {6590, title = {Association of low-frequency and rare coding-sequence variants with blood lipids and coronary heart disease in 56,000 whites and blacks.}, journal = {Am J Hum Genet}, volume = {94}, year = {2014}, month = {2014 Feb 06}, pages = {223-32}, abstract = {

Low-frequency coding DNA sequence variants in the proprotein convertase subtilisin/kexin type 9 gene (PCSK9) lower plasma low-density lipoprotein cholesterol (LDL-C), protect against risk of coronary heart disease (CHD), and have prompted the development of a new class of therapeutics. It is uncertain whether the PCSK9 example represents a paradigm or an isolated exception. We used the "Exome Array" to genotype >200,000 low-frequency and rare coding sequence variants across the genome in 56,538 individuals (42,208 European ancestry [EA] and 14,330 African ancestry [AA]) and tested these variants for association with LDL-C, high-density lipoprotein cholesterol (HDL-C), and triglycerides. Although we did not identify new genes associated with LDL-C, we did identify four low-frequency (frequencies between 0.1\% and 2\%) variants (ANGPTL8 rs145464906 [c.361C>T; p.Gln121*], PAFAH1B2 rs186808413 [c.482C>T; p.Ser161Leu], COL18A1 rs114139997 [c.331G>A; p.Gly111Arg], and PCSK7 rs142953140 [c.1511G>A; p.Arg504His]) with large effects on HDL-C and/or triglycerides. None of these four variants was associated with risk for CHD, suggesting that examples of low-frequency coding variants with robust effects on both lipids and CHD will be limited.

}, keywords = {1-Alkyl-2-acetylglycerophosphocholine Esterase, Adult, African Continental Ancestry Group, Aged, Alleles, Animals, Cholesterol, HDL, Cholesterol, LDL, Cohort Studies, Coronary Disease, European Continental Ancestry Group, Female, Gene Frequency, Genetic Association Studies, Genetic Code, Genetic Variation, Humans, Linear Models, Male, Mice, Mice, Inbred C57BL, Microtubule-Associated Proteins, Middle Aged, Phenotype, Sequence Analysis, DNA, Subtilisins, Triglycerides}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2014.01.009}, author = {Peloso, Gina M and Auer, Paul L and Bis, Joshua C and Voorman, Arend and Morrison, Alanna C and Stitziel, Nathan O and Brody, Jennifer A and Khetarpal, Sumeet A and Crosby, Jacy R and Fornage, Myriam and Isaacs, Aaron and Jakobsdottir, Johanna and Feitosa, Mary F and Davies, Gail and Huffman, Jennifer E and Manichaikul, Ani and Davis, Brian and Lohman, Kurt and Joon, Aron Y and Smith, Albert V and Grove, Megan L and Zanoni, Paolo and Redon, Valeska and Demissie, Serkalem and Lawson, Kim and Peters, Ulrike and Carlson, Christopher and Jackson, Rebecca D and Ryckman, Kelli K and Mackey, Rachel H and Robinson, Jennifer G and Siscovick, David S and Schreiner, Pamela J and Mychaleckyj, Josyf C and Pankow, James S and Hofman, Albert and Uitterlinden, Andr{\'e} G and Harris, Tamara B and Taylor, Kent D and Stafford, Jeanette M and Reynolds, Lindsay M and Marioni, Riccardo E and Dehghan, Abbas and Franco, Oscar H and Patel, Aniruddh P and Lu, Yingchang and Hindy, George and Gottesman, Omri and Bottinger, Erwin P and Melander, Olle and Orho-Melander, Marju and Loos, Ruth J F and Duga, Stefano and Merlini, Piera Angelica and Farrall, Martin and Goel, Anuj and Asselta, Rosanna and Girelli, Domenico and Martinelli, Nicola and Shah, Svati H and Kraus, William E and Li, Mingyao and Rader, Daniel J and Reilly, Muredach P and McPherson, Ruth and Watkins, Hugh and Ardissino, Diego and Zhang, Qunyuan and Wang, Judy and Tsai, Michael Y and Taylor, Herman A and Correa, Adolfo and Griswold, Michael E and Lange, Leslie A and Starr, John M and Rudan, Igor and Eiriksdottir, Gudny and Launer, Lenore J and Ordovas, Jose M and Levy, Daniel and Chen, Y-D Ida and Reiner, Alexander P and Hayward, Caroline and Polasek, Ozren and Deary, Ian J and Borecki, Ingrid B and Liu, Yongmei and Gudnason, Vilmundur and Wilson, James G and van Duijn, Cornelia M and Kooperberg, Charles and Rich, Stephen S and Psaty, Bruce M and Rotter, Jerome I and O{\textquoteright}Donnell, Christopher J and Rice, Kenneth and Boerwinkle, Eric and Kathiresan, Sekar and Cupples, L Adrienne} } @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 {6577, title = {Whole-exome sequencing identifies rare and low-frequency coding variants associated with LDL cholesterol.}, journal = {Am J Hum Genet}, volume = {94}, year = {2014}, month = {2014 Feb 06}, pages = {233-45}, abstract = {

Elevated low-density lipoprotein cholesterol (LDL-C) is a treatable, heritable risk factor for cardiovascular disease. Genome-wide association studies (GWASs) have identified 157 variants associated with lipid levels but are not well suited to assess the impact of rare and low-frequency variants. To determine whether rare or low-frequency coding variants are associated with LDL-C, we exome sequenced 2,005 individuals, including 554 individuals selected for extreme LDL-C (>98(th) or <2(nd) percentile). Follow-up analyses included sequencing of 1,302 additional individuals and genotype-based analysis of 52,221 individuals. We observed significant evidence of association between LDL-C and the burden of rare or low-frequency variants in PNPLA5, encoding a phospholipase-domain-containing protein, and both known and previously unidentified variants in PCSK9, LDLR and APOB, three known lipid-related genes. The effect sizes for the burden of rare variants for each associated gene were substantially higher than those observed for individual SNPs identified from GWASs. We replicated the PNPLA5 signal in an independent large-scale sequencing study of 2,084 individuals. In conclusion, this large whole-exome-sequencing study for LDL-C identified a gene not known to be implicated in LDL-C and provides unique insight into the design and analysis of similar experiments.

}, keywords = {Adult, Aged, Apolipoproteins E, Cholesterol, LDL, Cohort Studies, Dyslipidemias, Exome, Female, Follow-Up Studies, Gene Frequency, Genetic Code, Genome-Wide Association Study, Genotype, Humans, Lipase, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Proprotein Convertase 9, Proprotein Convertases, Receptors, LDL, Sequence Analysis, DNA, Serine Endopeptidases}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2014.01.010}, author = {Lange, Leslie A and Hu, Youna and Zhang, He and Xue, Chenyi and Schmidt, Ellen M and Tang, Zheng-Zheng and Bizon, Chris and Lange, Ethan M and Smith, Joshua D and Turner, Emily H and Jun, Goo and Kang, Hyun Min and Peloso, Gina and Auer, Paul and Li, Kuo-Ping and Flannick, Jason and Zhang, Ji and Fuchsberger, Christian and Gaulton, Kyle and Lindgren, Cecilia and Locke, Adam and Manning, Alisa and Sim, Xueling and Rivas, Manuel A and Holmen, Oddgeir L and Gottesman, Omri and Lu, Yingchang and Ruderfer, Douglas and Stahl, Eli A and Duan, Qing and Li, Yun and Durda, Peter and Jiao, Shuo and Isaacs, Aaron and Hofman, Albert and Bis, Joshua C and Correa, Adolfo and Griswold, Michael E and Jakobsdottir, Johanna and Smith, Albert V and Schreiner, Pamela J and Feitosa, Mary F and Zhang, Qunyuan and Huffman, Jennifer E and Crosby, Jacy and Wassel, Christina L and Do, Ron and Franceschini, Nora and Martin, Lisa W and Robinson, Jennifer G and Assimes, Themistocles L and Crosslin, David R and Rosenthal, Elisabeth A and Tsai, Michael and Rieder, Mark J and Farlow, Deborah N and Folsom, Aaron R and Lumley, Thomas and Fox, Ervin R and Carlson, Christopher S and Peters, Ulrike and Jackson, Rebecca D and van Duijn, Cornelia M and Uitterlinden, Andr{\'e} G and Levy, Daniel and Rotter, Jerome I and Taylor, Herman A and Gudnason, Vilmundur and Siscovick, David S and Fornage, Myriam and Borecki, Ingrid B and Hayward, Caroline and Rudan, Igor and Chen, Y Eugene and Bottinger, Erwin P and Loos, Ruth J F and S{\ae}trom, P{\r a}l and Hveem, Kristian and Boehnke, Michael and Groop, Leif and McCarthy, Mark and Meitinger, Thomas and Ballantyne, Christie M and Gabriel, Stacey B and O{\textquoteright}Donnell, Christopher J and Post, Wendy S and North, Kari E and Reiner, Alexander P and Boerwinkle, Eric and Psaty, Bruce M and Altshuler, David and Kathiresan, Sekar and Lin, Dan-Yu and Jarvik, Gail P and Cupples, L Adrienne and Kooperberg, Charles and Wilson, James G and Nickerson, Deborah A and Abecasis, Goncalo R and Rich, Stephen S and Tracy, Russell P and Willer, Cristen J} } @article {6860, title = {Integrative pathway genomics of lung function and airflow obstruction.}, journal = {Hum Mol Genet}, volume = {24}, year = {2015}, month = {2015 Dec 1}, pages = {6836-48}, abstract = {

Chronic respiratory disorders are important contributors to the global burden of disease. Genome-wide association studies (GWASs) of lung function measures have identified several trait-associated loci, but explain only a modest portion of the phenotypic variability. We postulated that integrating pathway-based methods with GWASs of pulmonary function and airflow obstruction would identify a broader repertoire of genes and processes influencing these traits. We performed two independent GWASs of lung function and applied gene set enrichment analysis to one of the studies and validated the results using the second GWAS. We identified 131 significantly enriched gene sets associated with lung function and clustered them into larger biological modules involved in diverse processes including development, immunity, cell signaling, proliferation and arachidonic acid. We found that enrichment of gene sets was not driven by GWAS-significant variants or loci, but instead by those with less stringent association P-values. Next, we applied pathway enrichment analysis to a meta-analyzed GWAS of airflow obstruction. We identified several biologic modules that functionally overlapped with those associated with pulmonary function. However, differences were also noted, including enrichment of extracellular matrix (ECM) processes specifically in the airflow obstruction study. Network analysis of the ECM module implicated a candidate gene, matrix metalloproteinase 10 (MMP10), as a putative disease target. We used a knockout mouse model to functionally validate MMP10{\textquoteright}s role in influencing lung{\textquoteright}s susceptibility to cigarette smoke-induced emphysema. By integrating pathway analysis with population-based genomics, we unraveled biologic processes underlying pulmonary function traits and identified a candidate gene for obstructive lung disease.

}, keywords = {Airway Obstruction, Animals, Cell Proliferation, European Continental Ancestry Group, Genetic Predisposition to Disease, Genome-Wide Association Study, Genomics, Humans, Immune System, Lung, Male, Metabolic Networks and Pathways, Mice, Phenotype, Polymorphism, Single Nucleotide, Signal Transduction}, issn = {1460-2083}, doi = {10.1093/hmg/ddv378}, author = {Gharib, Sina A and Loth, Daan W and Soler Artigas, Maria and Birkland, Timothy P and Wilk, Jemma B and Wain, Louise V and Brody, Jennifer A and Obeidat, Ma{\textquoteright}en and Hancock, Dana B and Tang, Wenbo and Rawal, Rajesh and Boezen, H Marike and Imboden, Medea and Huffman, Jennifer E and Lahousse, Lies and Alves, Alexessander C and Manichaikul, Ani and Hui, Jennie and Morrison, Alanna C and Ramasamy, Adaikalavan and Smith, Albert Vernon and Gudnason, Vilmundur and Surakka, Ida and Vitart, Veronique and Evans, David M and Strachan, David P and Deary, Ian J and Hofman, Albert and Gl{\"a}ser, Sven and Wilson, James F and North, Kari E and Zhao, Jing Hua and Heckbert, Susan R and Jarvis, Deborah L and Probst-Hensch, Nicole and Schulz, Holger and Barr, R Graham and Jarvelin, Marjo-Riitta and O{\textquoteright}Connor, George T and K{\"a}h{\"o}nen, Mika and Cassano, Patricia A and Hysi, Pirro G and Dupuis, Jos{\'e}e and Hayward, Caroline and Psaty, Bruce M and Hall, Ian P and Parks, William C and Tobin, Martin D and London, Stephanie J} } @article {7577, title = {Rare coding variants pinpoint genes that control human hematological traits.}, journal = {PLoS Genet}, volume = {13}, year = {2017}, month = {2017 Aug}, pages = {e1006925}, abstract = {

The identification of rare coding or splice site variants remains the most straightforward strategy to link genes with human phenotypes. Here, we analyzed the association between 137,086 rare (minor allele frequency (MAF) <1\%) coding or splice site variants and 15 hematological traits in up to 308,572 participants. We found 56 such rare coding or splice site variants at P<5x10-8, including 31 that are associated with a blood-cell phenotype for the first time. All but one of these 31 new independent variants map to loci previously implicated in hematopoiesis by genome-wide association studies (GWAS). This includes a rare splice acceptor variant (rs146597587, MAF = 0.5\%) in interleukin 33 (IL33) associated with reduced eosinophil count (P = 2.4x10-23), and lower risk of asthma (P = 2.6x10-7, odds ratio [95\% confidence interval] = 0.56 [0.45-0.70]) and allergic rhinitis (P = 4.2x10-4, odds ratio = 0.55 [0.39-0.76]). The single new locus identified in our study is defined by a rare p.Arg172Gly missense variant (rs145535174, MAF = 0.05\%) in plasminogen (PLG) associated with increased platelet count (P = 6.8x10-9), and decreased D-dimer concentration (P = 0.018) and platelet reactivity (P<0.03). Finally, our results indicate that searching for rare coding or splice site variants in very large sample sizes can help prioritize causal genes at many GWAS loci associated with complex human diseases and traits.

}, keywords = {Asthma, Databases, Genetic, Endometriosis, Female, Fibrin Fibrinogen Degradation Products, Gene Frequency, Genetic Loci, Genome, Human, Genome-Wide Association Study, Humans, Interleukin-33, Linear Models, Logistic Models, Male, Mutation, Missense, Phenotype, Plasminogen, Platelet Count, Polymorphism, Single Nucleotide, Principal Component Analysis, Protein Splicing, Rhinitis, Allergic, Sequence Analysis, DNA}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1006925}, author = {Mousas, Abdou and Ntritsos, Georgios and Chen, Ming-Huei and Song, Ci and Huffman, Jennifer E and Tzoulaki, Ioanna and Elliott, Paul and Psaty, Bruce M and Auer, Paul L and Johnson, Andrew D and Evangelou, Evangelos and Lettre, Guillaume and Reiner, Alexander P} } @article {9379, title = {Evaluating the use of blood pressure polygenic risk scores across race/ethnic background groups.}, journal = {Nat Commun}, volume = {14}, year = {2023}, month = {2023 Jun 02}, pages = {3202}, abstract = {

We assess performance and limitations of polygenic risk scores (PRSs) for multiple blood pressure (BP) phenotypes in diverse population groups. We compare "clumping-and-thresholding" (PRSice2) and LD-based (LDPred2) methods to construct PRSs from each of multiple GWAS, as well as multi-PRS approaches that sum PRSs with and without weights, including PRS-CSx. We use datasets from the MGB Biobank, TOPMed study, UK biobank, and from All of Us to train, assess, and validate PRSs in groups defined by self-reported race/ethnic background (Asian, Black, Hispanic/Latino, and White). For both SBP and DBP, the PRS-CSx based PRS, constructed as a weighted sum of PRSs developed from multiple independent GWAS, perform best across all race/ethnic backgrounds. Stratified analysis in All of Us shows that PRSs are better predictive of BP in females compared to males, individuals without obesity, and middle-aged (40-60 years) compared to older and younger individuals.

}, keywords = {Blood Pressure, Ethnicity, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Multifactorial Inheritance, Population Health, Risk Factors}, issn = {2041-1723}, doi = {10.1038/s41467-023-38990-9}, author = {Kurniansyah, Nuzulul and Goodman, Matthew O and Khan, Alyna T and Wang, Jiongming and Feofanova, Elena and Bis, Joshua C and Wiggins, Kerri L and Huffman, Jennifer E and Kelly, Tanika and Elfassy, Tali and Guo, Xiuqing and Palmas, Walter and Lin, Henry J and Hwang, Shih-Jen and Gao, Yan and Young, Kendra and Kinney, Gregory L and Smith, Jennifer A and Yu, Bing and Liu, Simin and Wassertheil-Smoller, Sylvia and Manson, JoAnn E and Zhu, Xiaofeng and Chen, Yii-Der Ida and Lee, I-Te and Gu, C Charles and Lloyd-Jones, Donald M and Z{\"o}llner, Sebastian and Fornage, Myriam and Kooperberg, Charles and Correa, Adolfo and Psaty, Bruce M and Arnett, Donna K and Isasi, Carmen R and Rich, Stephen S and Kaplan, Robert C and Redline, Susan and Mitchell, Braxton D and Franceschini, Nora and Levy, Daniel and Rotter, Jerome I and Morrison, Alanna C and Sofer, Tamar} } @article {9898, title = {Rare damaging CCR2 variants are associated with lower lifetime cardiovascular risk.}, journal = {Genome Med}, volume = {17}, year = {2025}, month = {2025 Mar 21}, pages = {27}, abstract = {

BACKGROUND: Previous work has shown a role of CCL2, a key chemokine governing monocyte trafficking, in atherosclerosis. However, it remains unknown whether targeting CCR2, the cognate receptor of CCL2, provides protection against human atherosclerotic cardiovascular disease.

METHODS: Computationally predicted damaging or loss-of-function (REVEL > 0.5) variants within CCR2 were detected in whole-exome-sequencing data from 454,775 UK Biobank participants and tested for association with cardiovascular endpoints in gene-burden tests. Given the key role of CCR2 in monocyte mobilization, variants associated with lower monocyte count were prioritized for experimental validation. The response to CCL2 of human cells transfected with these variants was tested in migration and cAMP assays. Validated damaging variants were tested for association with cardiovascular endpoints, atherosclerosis burden, and vascular risk factors. Significant associations were replicated in six independent datasets (n = 1,062,595).

RESULTS: Carriers of 45 predicted damaging or loss-of-function CCR2 variants (n = 787 individuals) were at lower risk of myocardial infarction and coronary artery disease. One of these variants (M249K, n = 585, 0.15\% of European ancestry individuals) was associated with lower monocyte count and with both decreased downstream signaling and chemoattraction in response to CCL2. While M249K showed no association with conventional vascular risk factors, it was consistently associated with a lower risk of myocardial infarction (odds ratio [OR]: 0.66, 95\% confidence interval [CI]: 0.54-0.81, p = 6.1 {\texttimes} 10) and coronary artery disease (OR: 0.74, 95\%CI: 0.63-0.87, p = 2.9 {\texttimes} 10) in the UK Biobank and in six replication cohorts. In a phenome-wide association study, there was no evidence of a higher risk of infections among M249K carriers.

CONCLUSIONS: Carriers of an experimentally confirmed damaging CCR2 variant are at a lower lifetime risk of myocardial infarction and coronary artery disease without carrying a higher risk of infections. Our findings provide genetic support for the translational potential of CCR2-targeting as an atheroprotective approach.

}, keywords = {Aged, Cardiovascular Diseases, Chemokine CCL2, Female, Genetic Predisposition to Disease, Humans, Male, Middle Aged, Monocytes, Receptors, CCR2}, issn = {1756-994X}, doi = {10.1186/s13073-025-01456-2}, author = {Georgakis, Marios K and Malik, Rainer and Bounkari, Omar El and Hasbani, Natalie R and Li, Jiang and Huffman, Jennifer E and Shakt, Gabrielle and Tack, Reinier W P and Kimball, Tamara N and Asare, Yaw and Morrison, Alanna C and Tsao, Noah L and Judy, Renae and Mitchell, Braxton D and Xu, Huichun and Montasser, May E and Do, Ron and Kenny, Eimear E and Loos, Ruth J F and Terry, James G and Carr, John Jeffrey and Bis, Joshua C and Psaty, Bruce M and Longstreth, W T and Young, Kendra A and Lutz, Sharon M and Cho, Michael H and Broome, Jai and Khan, Alyna T and Wang, Fei Fei and Heard-Costa, Nancy and Seshadri, Sudha and Vasan, Ramachandran S and Palmer, Nicholette D and Freedman, Barry I and Bowden, Donald W and Yanek, Lisa R and Kral, Brian G and Becker, Lewis C and Peyser, Patricia A and Bielak, Lawrence F and Ammous, Farah and Carson, April P and Hall, Michael E and Raffield, Laura M and Rich, Stephen S and Post, Wendy S and Tracy, Russel P and Taylor, Kent D and Guo, Xiuqing and Mahaney, Michael C and Curran, Joanne E and Blangero, John and Clarke, Shoa L and Haessler, Jeffrey W and Hu, Yao and Assimes, Themistocles L and Kooperberg, Charles and Bernhagen, J{\"u}rgen and Anderson, Christopher D and Damrauer, Scott M and Zand, Ramin and Rotter, Jerome I and de Vries, Paul S and Dichgans, Martin} }