@article {989, title = {Genome-wide association of sleep and circadian phenotypes.}, journal = {BMC Med Genet}, volume = {8 Suppl 1}, year = {2007}, month = {2007 Sep 19}, pages = {S9}, abstract = {

BACKGROUND: Numerous studies suggest genetic influences on sleepiness and circadian rhythms. The Sleep Heart Health Study collected questionnaire data on sleep habits and sleepiness from 2848 Framingham Heart Study Offspring Cohort participants. More than 700 participants were genotyped using the Affymetrix 100K SNP GeneChip, providing a unique opportunity to assess genetic linkage and association of these traits.

METHODS: Sleepiness (defined as the Epworth Sleepiness Scale score), usual bedtime and usual sleep duration were assessed by self-completion questionnaire. Standardized residual measures adjusted for age, sex and BMI were analyzed. Multipoint variance components linkage analysis was performed. Association of SNPs to sleep phenotypes was analyzed with both population-based and family-based association tests, with analysis limited to 70,987 autosomal SNPs with minor allele frequency > or =10\%, call rate > or =80\%, and no significant deviation from Hardy-Weinberg equilibrium (p > or = 0.001).

RESULTS: Heritability of sleepiness was 0.29, bedtime 0.22, and sleep duration 0.17. Both genotype and sleep phenotype data were available for 749 subjects. Linkage analysis revealed five linkage peaks of LOD >2: four to usual bedtime, one to sleep duration. These peaks include several candidate sleep-related genes, including CSNK2A2, encoding a known component of the circadian molecular clock, and PROK2, encoding a putative transmitter of the behavioral circadian rhythm from the suprachiasmatic nucleus. Association tests identified an association of usual bedtime with a non-synonymous coding SNP in NPSR1 that has been shown to encode a gain of function mutation of the neuropeptide S receptor, whose endogenous ligand is a potent promoter of wakefulness. Each copy of the minor allele of this SNP was associated with a 15 minute later mean bedtime. The lowest p value was for association of sleepiness with a SNP located in an intron of PDE4D, which encodes a cAMP-specific phosphodiesterase widely expressed in human brain. Full association results are posted at http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?id=phs000007 webcite.

CONCLUSION: This analysis confirms prior reports of significant heritability of sleepiness, usual bedtime, and usual sleep duration. Several genetic loci with suggestive linkage to these traits are identified, including linkage peaks containing circadian clock-related genes. Association tests identify NPSR1 and PDE4D as possible mediators of bedtime and sleepiness.

}, keywords = {Adult, Alleles, Cardiovascular Diseases, Circadian Rhythm, Cohort Studies, Female, Gene Frequency, Genetic Linkage, Genome, Human, Genotype, Humans, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Sleep, Surveys and Questionnaires}, issn = {1471-2350}, doi = {10.1186/1471-2350-8-S1-S9}, author = {Gottlieb, Daniel J and O{\textquoteright}Connor, George T and Wilk, Jemma B} } @article {1104, title = {Association of common genetic variation in the insulin/IGF1 signaling pathway with human longevity.}, journal = {Aging Cell}, volume = {8}, year = {2009}, month = {2009 Aug}, pages = {460-72}, abstract = {

The insulin/IGF1 signaling pathways affect lifespan in several model organisms, including worms, flies and mice. To investigate whether common genetic variation in this pathway influences lifespan in humans, we genotyped 291 common variants in 30 genes encoding proteins in the insulin/IGF1 signaling pathway in a cohort of elderly Caucasian women selected from the Study of Osteoporotic Fractures (SOF). The cohort included 293 long-lived cases (lifespan > or = 92 years (y), mean +/- standard deviation (SD) = 95.3 +/- 2.2y) and 603 average-lifespan controls (lifespan < or = 79y, mean = 75.7 +/- 2.6y). Variants were selected for genotyping using a haplotype-tagging approach. We found a modest excess of variants nominally associated with longevity. Nominally significant variants were then replicated in two additional Caucasian cohorts including both males and females: the Cardiovascular Health Study and Ashkenazi Jewish Centenarians. An intronic single nucleotide polymorphism in AKT1, rs3803304, was significantly associated with lifespan in a meta-analysis across the three cohorts (OR = 0.78 95\%CI = 0.68-0.89, adjusted P = 0.043); two intronic single nucleotide polymorphisms in FOXO3A demonstrated a significant lifespan association among women only (rs1935949, OR = 1.35, 95\%CI = 1.15-1.57, adjusted P = 0.0093). These results demonstrate that common variants in several genes in the insulin/IGF1 pathway are associated with human lifespan.

}, keywords = {Aged, Aged, 80 and over, Female, Follow-Up Studies, Forkhead Box Protein O3, Forkhead Transcription Factors, Genome, Human, Genotype, Humans, Insulin, Insulin-Like Growth Factor I, Longevity, Male, Osteoporosis, Polymorphism, Single Nucleotide, Proto-Oncogene Proteins c-akt, Signal Transduction}, issn = {1474-9726}, doi = {10.1111/j.1474-9726.2009.00493.x}, author = {Pawlikowska, Ludmila and Hu, Donglei and Huntsman, Scott and Sung, Andrew and Chu, Catherine and Chen, Justin and Joyner, Alexander H and Schork, Nicholas J and Hsueh, Wen-Chi and Reiner, Alexander P and Psaty, Bruce M and Atzmon, Gil and Barzilai, Nir and Cummings, Steven R and Browner, Warren S and Kwok, Pui-Yan and Ziv, Elad} } @article {1087, title = {Common variants at ten loci influence QT interval duration in the QTGEN Study.}, journal = {Nat Genet}, volume = {41}, year = {2009}, month = {2009 Apr}, pages = {399-406}, abstract = {

QT interval duration, reflecting myocardial repolarization on the electrocardiogram, is a heritable risk factor for sudden cardiac death and drug-induced arrhythmias. We conducted a meta-analysis of three genome-wide association studies in 13,685 individuals of European ancestry from the Framingham Heart Study, the Rotterdam Study and the Cardiovascular Health Study, as part of the QTGEN consortium. We observed associations at P < 5 x 10(-8) with variants in NOS1AP, KCNQ1, KCNE1, KCNH2 and SCN5A, known to be involved in myocardial repolarization and mendelian long-QT syndromes. Associations were found at five newly identified loci, including 16q21 near NDRG4 and GINS3, 6q22 near PLN, 1p36 near RNF207, 16p13 near LITAF and 17q12 near LIG3 and RFFL. Collectively, the 14 independent variants at these 10 loci explain 5.4-6.5\% of the variation in QT interval. These results, together with an accompanying paper, offer insights into myocardial repolarization and suggest candidate genes that could predispose to sudden cardiac death and drug-induced arrhythmias.

}, keywords = {Adaptor Proteins, Signal Transducing, Adult, Aged, Arrhythmias, Cardiac, Chromosome Mapping, Death, Sudden, Cardiac, Electroencephalography, ERG1 Potassium Channel, Ether-A-Go-Go Potassium Channels, European Continental Ancestry Group, Genetic Predisposition to Disease, Genetic Variation, Genome, Human, Humans, KCNQ1 Potassium Channel, Meta-Analysis as Topic, Muscle Proteins, NAV1.5 Voltage-Gated Sodium Channel, Polymorphism, Single Nucleotide, Potassium Channels, Voltage-Gated, Risk Factors, Sodium Channels}, issn = {1546-1718}, doi = {10.1038/ng.364}, author = {Newton-Cheh, Christopher and Eijgelsheim, Mark and Rice, Kenneth M and de Bakker, Paul I W and Yin, Xiaoyan and Estrada, Karol and Bis, Joshua C and Marciante, Kristin and Rivadeneira, Fernando and Noseworthy, Peter A and Sotoodehnia, Nona and Smith, Nicholas L and Rotter, Jerome I and Kors, Jan A and Witteman, Jacqueline C M and Hofman, Albert and Heckbert, Susan R and O{\textquoteright}Donnell, Christopher J and Uitterlinden, Andr{\'e} G and Psaty, Bruce M and Lumley, Thomas and Larson, Martin G and Stricker, Bruno H Ch} } @article {1141, title = {Multiple loci influence erythrocyte phenotypes in the CHARGE Consortium.}, journal = {Nat Genet}, volume = {41}, year = {2009}, month = {2009 Nov}, pages = {1191-8}, abstract = {

Measurements of erythrocytes within the blood are important clinical traits and can indicate various hematological disorders. We report here genome-wide association studies (GWAS) for six erythrocyte traits, including hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red blood cell count (RBC). We performed an initial GWAS in cohorts of the CHARGE Consortium totaling 24,167 individuals of European ancestry and replication in additional independent cohorts of the HaemGen Consortium totaling 9,456 individuals. We identified 23 loci significantly associated with these traits in a meta-analysis of the discovery and replication cohorts (combined P values ranging from 5 x 10(-8) to 7 x 10(-86)). Our findings include loci previously associated with these traits (HBS1L-MYB, HFE, TMPRSS6, TFR2, SPTA1) as well as new associations (EPO, TFRC, SH2B3 and 15 other loci). This study has identified new determinants of erythrocyte traits, offering insight into common variants underlying variation in erythrocyte measures.

}, keywords = {Blood Pressure, Cell Line, Cohort Studies, Endothelial Cells, Erythrocytes, Gene Expression, Genome, Human, Genome-Wide Association Study, Humans, Hypertension, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci}, issn = {1546-1718}, doi = {10.1038/ng.466}, author = {Ganesh, Santhi K and Zakai, Neil A and van Rooij, Frank J A and Soranzo, Nicole and Smith, Albert V and Nalls, Michael A and Chen, Ming-Huei and K{\"o}ttgen, Anna and Glazer, Nicole L and Dehghan, Abbas and Kuhnel, Brigitte and Aspelund, Thor and Yang, Qiong and Tanaka, Toshiko and Jaffe, Andrew and Bis, Joshua C M and Verwoert, Germaine C and Teumer, Alexander and Fox, Caroline S and Guralnik, Jack M and Ehret, Georg B and Rice, Kenneth and Felix, Janine F and Rendon, Augusto and Eiriksdottir, Gudny and Levy, Daniel and Patel, Kushang V and Boerwinkle, Eric and Rotter, Jerome I and Hofman, Albert and Sambrook, Jennifer G and Hernandez, Dena G and Zheng, Gang and Bandinelli, Stefania and Singleton, Andrew B and Coresh, Josef and Lumley, Thomas and Uitterlinden, Andr{\'e} G and Vangils, Janine M and Launer, Lenore J and Cupples, L Adrienne and Oostra, Ben A and Zwaginga, Jaap-Jan and Ouwehand, Willem H and Thein, Swee-Lay and Meisinger, Christa and Deloukas, Panos and Nauck, Matthias and Spector, Tim D and Gieger, Christian and Gudnason, Vilmundur and van Duijn, Cornelia M and Psaty, Bruce M and Ferrucci, Luigi and Chakravarti, Aravinda and Greinacher, Andreas and O{\textquoteright}Donnell, Christopher J and Witteman, Jacqueline C M and Furth, Susan and Cushman, Mary and Harris, Tamara B and Lin, Jing-Ping} } @article {1217, title = {Genome-wide association analysis identifies multiple loci related to resting heart rate.}, journal = {Hum Mol Genet}, volume = {19}, year = {2010}, month = {2010 Oct 01}, pages = {3885-94}, abstract = {

Higher resting heart rate is associated with increased cardiovascular disease and mortality risk. Though heritable factors play a substantial role in population variation, little is known about specific genetic determinants. This knowledge can impact clinical care by identifying novel factors that influence pathologic heart rate states, modulate heart rate through cardiac structure and function or by improving our understanding of the physiology of heart rate regulation. To identify common genetic variants associated with heart rate, we performed a meta-analysis of 15 genome-wide association studies (GWAS), including 38,991 subjects of European ancestry, estimating the association between age-, sex- and body mass-adjusted RR interval (inverse heart rate) and approximately 2.5 million markers. Results with P < 5 {\texttimes} 10(-8) were considered genome-wide significant. We constructed regression models with multiple markers to assess whether results at less stringent thresholds were likely to be truly associated with RR interval. We identified six novel associations with resting heart rate at six loci: 6q22 near GJA1; 14q12 near MYH7; 12p12 near SOX5, c12orf67, BCAT1, LRMP and CASC1; 6q22 near SLC35F1, PLN and c6orf204; 7q22 near SLC12A9 and UfSp1; and 11q12 near FADS1. Associations at 6q22 400 kb away from GJA1, at 14q12 MYH6 and at 1q32 near CD34 identified in previously published GWAS were confirmed. In aggregate, these variants explain approximately 0.7\% of RR interval variance. A multivariant regression model including 20 variants with P < 10(-5) increased the explained variance to 1.6\%, suggesting that some loci falling short of genome-wide significance are likely truly associated. Future research is warranted to elucidate underlying mechanisms that may impact clinical care.

}, keywords = {Adult, Aged, Base Pairing, Cohort Studies, Female, Genetic Loci, Genome, Human, Genome-Wide Association Study, Heart Rate, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Rest}, issn = {1460-2083}, doi = {10.1093/hmg/ddq303}, author = {Eijgelsheim, Mark and Newton-Cheh, Christopher and Sotoodehnia, Nona and de Bakker, Paul I W and M{\"u}ller, Martina and Morrison, Alanna C and Smith, Albert V and Isaacs, Aaron and Sanna, Serena and D{\"o}rr, Marcus and Navarro, Pau and Fuchsberger, Christian and Nolte, Ilja M and de Geus, Eco J C and Estrada, Karol and Hwang, Shih-Jen and Bis, Joshua C and R{\"u}ckert, Ina-Maria and Alonso, Alvaro and Launer, Lenore J and Hottenga, Jouke Jan and Rivadeneira, Fernando and Noseworthy, Peter A and Rice, Kenneth M and Perz, Siegfried and Arking, Dan E and Spector, Tim D and Kors, Jan A and Aulchenko, Yurii S and Tarasov, Kirill V and Homuth, Georg and Wild, Sarah H and Marroni, Fabio and Gieger, Christian and Licht, Carmilla M and Prineas, Ronald J and Hofman, Albert and Rotter, Jerome I and Hicks, Andrew A and Ernst, Florian and Najjar, Samer S and Wright, Alan F and Peters, Annette and Fox, Ervin R and Oostra, Ben A and Kroemer, Heyo K and Couper, David and V{\"o}lzke, Henry and Campbell, Harry and Meitinger, Thomas and Uda, Manuela and Witteman, Jacqueline C M and Psaty, Bruce M and Wichmann, H-Erich and Harris, Tamara B and K{\"a}{\"a}b, Stefan and Siscovick, David S and Jamshidi, Yalda and Uitterlinden, Andr{\'e} G and Folsom, Aaron R and Larson, Martin G and Wilson, James F and Penninx, Brenda W and Snieder, Harold and Pramstaller, Peter P and van Duijn, Cornelia M and Lakatta, Edward G and Felix, Stephan B and Gudnason, Vilmundur and Pfeufer, Arne and Heckbert, Susan R and Stricker, Bruno H Ch and Boerwinkle, Eric and O{\textquoteright}Donnell, Christopher J} } @article {1249, title = {Genome-wide meta-analysis increases to 71 the number of confirmed Crohn{\textquoteright}s disease susceptibility loci.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 Dec}, pages = {1118-25}, abstract = {

We undertook a meta-analysis of six Crohn{\textquoteright}s disease genome-wide association studies (GWAS) comprising 6,333 affected individuals (cases) and 15,056 controls and followed up the top association signals in 15,694 cases, 14,026 controls and 414 parent-offspring trios. We identified 30 new susceptibility loci meeting genome-wide significance (P < 5 {\texttimes} 10$^{-}$$^{8}$). A series of in silico analyses highlighted particular genes within these loci and, together with manual curation, implicated functionally interesting candidate genes including SMAD3, ERAP2, IL10, IL2RA, TYK2, FUT2, DNMT3A, DENND1B, BACH2 and TAGAP. Combined with previously confirmed loci, these results identify 71 distinct loci with genome-wide significant evidence for association with Crohn{\textquoteright}s disease.

}, keywords = {Computational Biology, Crohn Disease, Genetic Linkage, Genetic Loci, Genetic Predisposition to Disease, Genetic Variation, Genome, Human, Genome-Wide Association Study, Humans, Reproducibility of Results}, issn = {1546-1718}, doi = {10.1038/ng.717}, author = {Franke, Andre and McGovern, Dermot P B and Barrett, Jeffrey C and Wang, Kai and Radford-Smith, Graham L and Ahmad, Tariq and Lees, Charlie W and Balschun, Tobias and Lee, James and Roberts, Rebecca and Anderson, Carl A and Bis, Joshua C and Bumpstead, Suzanne and Ellinghaus, David and Festen, Eleonora M and Georges, Michel and Green, Todd and Haritunians, Talin and Jostins, Luke and Latiano, Anna and Mathew, Christopher G and Montgomery, Grant W and Prescott, Natalie J and Raychaudhuri, Soumya and Rotter, Jerome I and Schumm, Philip and Sharma, Yashoda and Simms, Lisa A and Taylor, Kent D and Whiteman, David and Wijmenga, Cisca and Baldassano, Robert N and Barclay, Murray and Bayless, Theodore M and Brand, Stephan and B{\"u}ning, Carsten and Cohen, Albert and Colombel, Jean-Frederick and Cottone, Mario and Stronati, Laura and Denson, Ted and De Vos, Martine and D{\textquoteright}Inca, Renata and Dubinsky, Marla and Edwards, Cathryn and Florin, Tim and Franchimont, Denis and Gearry, Richard and Glas, J{\"u}rgen and Van Gossum, Andre and Guthery, Stephen L and Halfvarson, Jonas and Verspaget, Hein W and Hugot, Jean-Pierre and Karban, Amir and Laukens, Debby and Lawrance, Ian and Lemann, Marc and Levine, Arie and Libioulle, Cecile and Louis, Edouard and Mowat, Craig and Newman, William and Pan{\'e}s, Juli{\'a}n and Phillips, Anne and Proctor, Deborah D and Regueiro, Miguel and Russell, Richard and Rutgeerts, Paul and Sanderson, Jeremy and Sans, Miquel and Seibold, Frank and Steinhart, A Hillary and Stokkers, Pieter C F and T{\"o}rkvist, Leif and Kullak-Ublick, Gerd and Wilson, David and Walters, Thomas and Targan, Stephan R and Brant, Steven R and Rioux, John D and D{\textquoteright}Amato, Mauro and Weersma, Rinse K and Kugathasan, Subra and Griffiths, Anne M and Mansfield, John C and Vermeire, Severine and Duerr, Richard H and Silverberg, Mark S and Satsangi, Jack and Schreiber, Stefan and Cho, Judy H and Annese, Vito and Hakonarson, Hakon and Daly, Mark J and Parkes, Miles} } @article {1234, title = {Hundreds of variants clustered in genomic loci and biological pathways affect human height.}, journal = {Nature}, volume = {467}, year = {2010}, month = {2010 Oct 14}, pages = {832-8}, abstract = {

Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits, but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait. The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (P = 0.016) and that underlie skeletal growth defects (P < 0.001). Second, the likely causal gene is often located near the most strongly associated variant: in 13 of 21 loci containing a known skeletal growth gene, that gene was closest to the associated variant. Third, at least 19 loci have multiple independently associated variants, suggesting that allelic heterogeneity is a frequent feature of polygenic traits, that comprehensive explorations of already-discovered loci should discover additional variants and that an appreciable fraction of associated loci may have been identified. Fourth, associated variants are enriched for likely functional effects on genes, being over-represented among variants that alter amino-acid structure of proteins and expression levels of nearby genes. Our data explain approximately 10\% of the phenotypic variation in height, and we estimate that unidentified common variants of similar effect sizes would increase this figure to approximately 16\% of phenotypic variation (approximately 20\% of heritable variation). Although additional approaches are needed to dissect the genetic architecture of polygenic human traits fully, our findings indicate that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.

}, keywords = {Body Height, Chromosomes, Human, Pair 3, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Metabolic Networks and Pathways, Multifactorial Inheritance, Phenotype, Polymorphism, Single Nucleotide}, issn = {1476-4687}, doi = {10.1038/nature09410}, author = {Lango Allen, Hana and Estrada, Karol and Lettre, Guillaume and Berndt, Sonja I and Weedon, Michael N and Rivadeneira, Fernando and Willer, Cristen J and Jackson, Anne U and Vedantam, Sailaja and Raychaudhuri, Soumya and Ferreira, Teresa and Wood, Andrew R and Weyant, Robert J and Segr{\`e}, Ayellet V and Speliotes, Elizabeth K and Wheeler, Eleanor and Soranzo, Nicole and Park, Ju-Hyun and Yang, Jian and Gudbjartsson, Daniel and Heard-Costa, Nancy L and Randall, Joshua C and Qi, Lu and Vernon Smith, Albert and M{\"a}gi, Reedik and Pastinen, Tomi and Liang, Liming and Heid, Iris M and Luan, Jian{\textquoteright}an and Thorleifsson, Gudmar and Winkler, Thomas W and Goddard, Michael E and Sin Lo, Ken and Palmer, Cameron and Workalemahu, Tsegaselassie and Aulchenko, Yurii S and Johansson, Asa and Zillikens, M Carola and Feitosa, Mary F and Esko, T{\~o}nu and Johnson, Toby and Ketkar, Shamika and Kraft, Peter and Mangino, Massimo and Prokopenko, Inga and Absher, Devin and Albrecht, Eva and Ernst, Florian and Glazer, Nicole L and Hayward, Caroline and Hottenga, Jouke-Jan and Jacobs, Kevin B and Knowles, Joshua W and Kutalik, Zolt{\'a}n and Monda, Keri L and Polasek, Ozren and Preuss, Michael and Rayner, Nigel W and Robertson, Neil R and Steinthorsdottir, Valgerdur and Tyrer, Jonathan P and Voight, Benjamin F and Wiklund, Fredrik and Xu, Jianfeng and Zhao, Jing Hua and Nyholt, Dale R and Pellikka, Niina and Perola, Markus and Perry, John R B and Surakka, Ida and Tammesoo, Mari-Liis and Altmaier, Elizabeth L and Amin, Najaf and Aspelund, Thor and Bhangale, Tushar and Boucher, Gabrielle and Chasman, Daniel I and Chen, Constance and Coin, Lachlan and Cooper, Matthew N and Dixon, Anna L and Gibson, Quince and Grundberg, Elin and Hao, Ke and Juhani Junttila, M and Kaplan, Lee M and Kettunen, Johannes and K{\"o}nig, Inke R and Kwan, Tony and Lawrence, Robert W and Levinson, Douglas F and Lorentzon, Mattias and McKnight, Barbara and Morris, Andrew P and M{\"u}ller, Martina and Suh Ngwa, Julius and Purcell, Shaun and Rafelt, Suzanne and Salem, Rany M and Salvi, Erika and Sanna, Serena and Shi, Jianxin and Sovio, Ulla and Thompson, John R and Turchin, Michael C and Vandenput, Liesbeth and Verlaan, Dominique J and Vitart, Veronique and White, Charles C and Ziegler, Andreas and Almgren, Peter and Balmforth, Anthony J and Campbell, Harry and Citterio, Lorena and De Grandi, Alessandro and Dominiczak, Anna and Duan, Jubao and Elliott, Paul and Elosua, Roberto and Eriksson, Johan G and Freimer, Nelson B and Geus, Eco J C and Glorioso, Nicola and Haiqing, Shen and Hartikainen, Anna-Liisa and Havulinna, Aki S and Hicks, Andrew A and Hui, Jennie and Igl, Wilmar and Illig, Thomas and Jula, Antti and Kajantie, Eero and Kilpel{\"a}inen, Tuomas O and Koiranen, Markku and Kolcic, Ivana and Koskinen, Seppo and Kovacs, Peter and Laitinen, Jaana and Liu, Jianjun and Lokki, Marja-Liisa and Marusic, Ana and Maschio, Andrea and Meitinger, Thomas and Mulas, Antonella and Par{\'e}, Guillaume and Parker, Alex N and Peden, John F and Petersmann, Astrid and Pichler, Irene and Pietil{\"a}inen, Kirsi H and Pouta, Anneli and Ridderstr{\r a}le, Martin and Rotter, Jerome I and Sambrook, Jennifer G and Sanders, Alan R and Schmidt, Carsten Oliver and Sinisalo, Juha and Smit, Jan H and Stringham, Heather M and Bragi Walters, G and Widen, Elisabeth and Wild, Sarah H and Willemsen, Gonneke and Zagato, Laura and Zgaga, Lina and Zitting, Paavo and Alavere, Helene and Farrall, Martin and McArdle, Wendy L and Nelis, Mari and Peters, Marjolein J and Ripatti, Samuli and van Meurs, Joyce B J and Aben, Katja K and Ardlie, Kristin G and Beckmann, Jacques S and Beilby, John P and Bergman, Richard N and Bergmann, Sven and Collins, Francis S and Cusi, Daniele and den Heijer, Martin and Eiriksdottir, Gudny and Gejman, Pablo V and Hall, Alistair S and Hamsten, Anders and Huikuri, Heikki V and Iribarren, Carlos and K{\"a}h{\"o}nen, Mika and Kaprio, Jaakko and Kathiresan, Sekar and Kiemeney, Lambertus and Kocher, Thomas and Launer, Lenore J and Lehtim{\"a}ki, Terho and Melander, Olle and Mosley, Tom H and Musk, Arthur W and Nieminen, Markku S and O{\textquoteright}Donnell, Christopher J and Ohlsson, Claes and Oostra, Ben and Palmer, Lyle J and Raitakari, Olli and Ridker, Paul M and Rioux, John D and Rissanen, Aila and Rivolta, Carlo and Schunkert, Heribert and Shuldiner, Alan R and Siscovick, David S and Stumvoll, Michael and T{\"o}njes, Anke and Tuomilehto, Jaakko and van Ommen, Gert-Jan and Viikari, Jorma and Heath, Andrew C and Martin, Nicholas G and Montgomery, Grant W and Province, Michael A and Kayser, Manfred and Arnold, Alice M and Atwood, Larry D and Boerwinkle, Eric and Chanock, Stephen J and Deloukas, Panos and Gieger, Christian and Gr{\"o}nberg, Henrik and Hall, Per and Hattersley, Andrew T and Hengstenberg, Christian and Hoffman, Wolfgang and Lathrop, G Mark and Salomaa, Veikko and Schreiber, Stefan and Uda, Manuela and Waterworth, Dawn and Wright, Alan F and Assimes, Themistocles L and Barroso, In{\^e}s and Hofman, Albert and Mohlke, Karen L and Boomsma, Dorret I and Caulfield, Mark J and Cupples, L Adrienne and Erdmann, Jeanette and Fox, Caroline S and Gudnason, Vilmundur and Gyllensten, Ulf and Harris, Tamara B and Hayes, Richard B and Jarvelin, Marjo-Riitta and Mooser, Vincent and Munroe, Patricia B and Ouwehand, Willem H and Penninx, Brenda W and Pramstaller, Peter P and Quertermous, Thomas and Rudan, Igor and Samani, Nilesh J and Spector, Timothy D and V{\"o}lzke, Henry and Watkins, Hugh and Wilson, James F and Groop, Leif C and Haritunians, Talin and Hu, Frank B and Kaplan, Robert C and Metspalu, Andres and North, Kari E and Schlessinger, David and Wareham, Nicholas J and Hunter, David J and O{\textquoteright}Connell, Jeffrey R and Strachan, David P and Wichmann, H-Erich and Borecki, Ingrid B and van Duijn, Cornelia M and Schadt, Eric E and Thorsteinsdottir, Unnur and Peltonen, Leena and Uitterlinden, Andr{\'e} G and Visscher, Peter M and Chatterjee, Nilanjan and Loos, Ruth J F and Boehnke, Michael and McCarthy, Mark I and Ingelsson, Erik and Lindgren, Cecilia M and Abecasis, Goncalo R and Stefansson, Kari and Frayling, Timothy M and Hirschhorn, Joel N} } @article {1150, title = {Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 Jan}, pages = {45-52}, abstract = {

Spirometric measures of lung function are heritable traits that reflect respiratory health and predict morbidity and mortality. We meta-analyzed genome-wide association studies for two clinically important lung-function measures: forced expiratory volume in the first second (FEV(1)) and its ratio to forced vital capacity (FEV(1)/FVC), an indicator of airflow obstruction. This meta-analysis included 20,890 participants of European ancestry from four CHARGE Consortium studies: Atherosclerosis Risk in Communities, Cardiovascular Health Study, Framingham Heart Study and Rotterdam Study. We identified eight loci associated with FEV(1)/FVC (HHIP, GPR126, ADAM19, AGER-PPT2, FAM13A, PTCH1, PID1 and HTR4) and one locus associated with FEV(1) (INTS12-GSTCD-NPNT) at or near genome-wide significance (P < 5 x 10(-8)) in the CHARGE Consortium dataset. Our findings may offer insights into pulmonary function and pathogenesis of chronic lung disease.

}, keywords = {Databases, Genetic, Female, Forced Expiratory Volume, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Lung, Lung Diseases, Male, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Spirometry, Vital Capacity}, issn = {1546-1718}, doi = {10.1038/ng.500}, author = {Hancock, Dana B and Eijgelsheim, Mark and Wilk, Jemma B and Gharib, Sina A and Loehr, Laura R and Marciante, Kristin D and Franceschini, Nora and van Durme, Yannick M T A and Chen, Ting-Hsu and Barr, R Graham and Schabath, Matthew B and Couper, David J and Brusselle, Guy G and Psaty, Bruce M and van Duijn, Cornelia M and Rotter, Jerome I and Uitterlinden, Andr{\'e} G and Hofman, Albert and Punjabi, Naresh M and Rivadeneira, Fernando and Morrison, Alanna C and Enright, Paul L and North, Kari E and Heckbert, Susan R and Lumley, Thomas and Stricker, Bruno H C and O{\textquoteright}Connor, George T and London, Stephanie J} } @article {1236, title = {Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 Nov}, pages = {949-60}, abstract = {

Waist-hip ratio (WHR) is a measure of body fat distribution and a predictor of metabolic consequences independent of overall adiposity. WHR is heritable, but few genetic variants influencing this trait have been identified. We conducted a meta-analysis of 32 genome-wide association studies for WHR adjusted for body mass index (comprising up to 77,167 participants), following up 16 loci in an additional 29 studies (comprising up to 113,636 subjects). We identified 13 new loci in or near RSPO3, VEGFA, TBX15-WARS2, NFE2L3, GRB14, DNM3-PIGC, ITPR2-SSPN, LY86, HOXC13, ADAMTS9, ZNRF3-KREMEN1, NISCH-STAB1 and CPEB4 (P = 1.9 {\texttimes} 10$^{-}$$^{9}$ to P = 1.8 {\texttimes} 10$^{-}$$^{4}$$^{0}$) and the known signal at LYPLAL1. Seven of these loci exhibited marked sexual dimorphism, all with a stronger effect on WHR in women than men (P for sex difference = 1.9 {\texttimes} 10$^{-}${\textthreesuperior} to P = 1.2 {\texttimes} 10$^{-}${\textonesuperior}{\textthreesuperior}). These findings provide evidence for multiple loci that modulate body fat distribution independent of overall adiposity and reveal strong gene-by-sex interactions.

}, keywords = {Adipose Tissue, Age Factors, Chromosome Mapping, Female, Genome, Human, Genome-Wide Association Study, Humans, Male, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Sex Characteristics, Waist-Hip Ratio}, issn = {1546-1718}, doi = {10.1038/ng.685}, author = {Heid, Iris M and Jackson, Anne U and Randall, Joshua C and Winkler, Thomas W and Qi, Lu and Steinthorsdottir, Valgerdur and Thorleifsson, Gudmar and Zillikens, M Carola and Speliotes, Elizabeth K and M{\"a}gi, Reedik and Workalemahu, Tsegaselassie and White, Charles C and Bouatia-Naji, Nabila and Harris, Tamara B and Berndt, Sonja I and Ingelsson, Erik and Willer, Cristen J and Weedon, Michael N and Luan, Jian{\textquoteright}an and Vedantam, Sailaja and Esko, T{\~o}nu and Kilpel{\"a}inen, Tuomas O and Kutalik, Zolt{\'a}n and Li, Shengxu and Monda, Keri L and Dixon, Anna L and Holmes, Christopher C and Kaplan, Lee M and Liang, Liming and Min, Josine L and Moffatt, Miriam F and Molony, Cliona and Nicholson, George and Schadt, Eric E and Zondervan, Krina T and Feitosa, Mary F and Ferreira, Teresa and Lango Allen, Hana and Weyant, Robert J and Wheeler, Eleanor and Wood, Andrew R and Estrada, Karol and Goddard, Michael E and Lettre, Guillaume and Mangino, Massimo and Nyholt, Dale R and Purcell, Shaun and Smith, Albert Vernon and Visscher, Peter M and Yang, Jian and McCarroll, Steven A and Nemesh, James and Voight, Benjamin F and Absher, Devin and Amin, Najaf and Aspelund, Thor and Coin, Lachlan and Glazer, Nicole L and Hayward, Caroline and Heard-Costa, Nancy L and Hottenga, Jouke-Jan and Johansson, Asa and Johnson, Toby and Kaakinen, Marika and Kapur, Karen and Ketkar, Shamika and Knowles, Joshua W and Kraft, Peter and Kraja, Aldi T and Lamina, Claudia and Leitzmann, Michael F and McKnight, Barbara and Morris, Andrew P and Ong, Ken K and Perry, John R B and Peters, Marjolein J and Polasek, Ozren and Prokopenko, Inga and Rayner, Nigel W and Ripatti, Samuli and Rivadeneira, Fernando and Robertson, Neil R and Sanna, Serena and Sovio, Ulla and Surakka, Ida and Teumer, Alexander and van Wingerden, Sophie and Vitart, Veronique and Zhao, Jing Hua and Cavalcanti-Proen{\c c}a, Christine and Chines, Peter S and Fisher, Eva and Kulzer, Jennifer R and Lecoeur, C{\'e}cile and Narisu, Narisu and Sandholt, Camilla and Scott, Laura J and Silander, Kaisa and Stark, Klaus and Tammesoo, Mari-Liis and Teslovich, Tanya M and Timpson, Nicholas John and Watanabe, Richard M and Welch, Ryan and Chasman, Daniel I and Cooper, Matthew N and Jansson, John-Olov and Kettunen, Johannes and Lawrence, Robert W and Pellikka, Niina and Perola, Markus and Vandenput, Liesbeth and Alavere, Helene and Almgren, Peter and Atwood, Larry D and Bennett, Amanda J and Biffar, Reiner and Bonnycastle, Lori L and Bornstein, Stefan R and Buchanan, Thomas A and Campbell, Harry and Day, Ian N M and Dei, Mariano and D{\"o}rr, Marcus and Elliott, Paul and Erdos, Michael R and Eriksson, Johan G and Freimer, Nelson B and Fu, Mao and Gaget, Stefan and Geus, Eco J C and Gjesing, Anette P and Grallert, Harald and Gr{\"a}ssler, J{\"u}rgen and Groves, Christopher J and Guiducci, Candace and Hartikainen, Anna-Liisa and Hassanali, Neelam and Havulinna, Aki S and Herzig, Karl-Heinz and Hicks, Andrew A and Hui, Jennie and Igl, Wilmar and Jousilahti, Pekka and Jula, Antti and Kajantie, Eero and Kinnunen, Leena and Kolcic, Ivana and Koskinen, Seppo and Kovacs, Peter and Kroemer, Heyo K and Krzelj, Vjekoslav and Kuusisto, Johanna and Kvaloy, Kirsti and Laitinen, Jaana and Lantieri, Olivier and Lathrop, G Mark and Lokki, Marja-Liisa and Luben, Robert N and Ludwig, Barbara and McArdle, Wendy L and McCarthy, Anne and Morken, Mario A and Nelis, Mari and Neville, Matt J and Par{\'e}, Guillaume and Parker, Alex N and Peden, John F and Pichler, Irene and Pietil{\"a}inen, Kirsi H and Platou, Carl G P and Pouta, Anneli and Ridderstr{\r a}le, Martin and Samani, Nilesh J and Saramies, Jouko and Sinisalo, Juha and Smit, Jan H and Strawbridge, Rona J and Stringham, Heather M and Swift, Amy J and Teder-Laving, Maris and Thomson, Brian and Usala, Gianluca and van Meurs, Joyce B J and van Ommen, Gert-Jan and Vatin, Vincent and Volpato, Claudia B and Wallaschofski, Henri and Walters, G Bragi and Widen, Elisabeth and Wild, Sarah H and Willemsen, Gonneke and Witte, Daniel R and Zgaga, Lina and Zitting, Paavo and Beilby, John P and James, Alan L and K{\"a}h{\"o}nen, Mika and Lehtim{\"a}ki, Terho and Nieminen, Markku S and Ohlsson, Claes and Palmer, Lyle J and Raitakari, Olli and Ridker, Paul M and Stumvoll, Michael and T{\"o}njes, Anke and Viikari, Jorma and Balkau, Beverley and Ben-Shlomo, Yoav and Bergman, Richard N and Boeing, Heiner and Smith, George Davey and Ebrahim, Shah and Froguel, Philippe and Hansen, Torben and Hengstenberg, Christian and Hveem, Kristian and Isomaa, Bo and J{\o}rgensen, Torben and Karpe, Fredrik and Khaw, Kay-Tee and Laakso, Markku and Lawlor, Debbie A and Marre, Michel and Meitinger, Thomas and Metspalu, Andres and Midthjell, Kristian and Pedersen, Oluf and Salomaa, Veikko and Schwarz, Peter E H and Tuomi, Tiinamaija and Tuomilehto, Jaakko and Valle, Timo T and Wareham, Nicholas J and Arnold, Alice M and Beckmann, Jacques S and Bergmann, Sven and Boerwinkle, Eric and Boomsma, Dorret I and Caulfield, Mark J and Collins, Francis S and Eiriksdottir, Gudny and Gudnason, Vilmundur and Gyllensten, Ulf and Hamsten, Anders and Hattersley, Andrew T and Hofman, Albert and Hu, Frank B and Illig, Thomas and Iribarren, Carlos and Jarvelin, Marjo-Riitta and Kao, W H Linda and Kaprio, Jaakko and Launer, Lenore J and Munroe, Patricia B and Oostra, Ben and Penninx, Brenda W and Pramstaller, Peter P and Psaty, Bruce M and Quertermous, Thomas and Rissanen, Aila and Rudan, Igor and Shuldiner, Alan R and Soranzo, Nicole and Spector, Timothy D and Syv{\"a}nen, Ann-Christine and Uda, Manuela and Uitterlinden, Andre and V{\"o}lzke, Henry and Vollenweider, Peter and Wilson, James F and Witteman, Jacqueline C and Wright, Alan F and Abecasis, Goncalo R and Boehnke, Michael and Borecki, Ingrid B and Deloukas, Panos and Frayling, Timothy M and Groop, Leif C and Haritunians, Talin and Hunter, David J and Kaplan, Robert C and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Peltonen, Leena and Schlessinger, David and Strachan, David P and Hirschhorn, Joel N and Assimes, Themistocles L and Wichmann, H-Erich and Thorsteinsdottir, Unnur and van Duijn, Cornelia M and Stefansson, Kari and Cupples, L Adrienne and Loos, Ruth J F and Barroso, In{\^e}s and McCarthy, Mark I and Fox, Caroline S and Mohlke, Karen L and Lindgren, Cecilia M} } @article {1288, title = {Enhanced statistical tests for GWAS in admixed populations: assessment using African Americans from CARe and a Breast Cancer Consortium.}, journal = {PLoS Genet}, volume = {7}, year = {2011}, month = {2011 Apr}, pages = {e1001371}, abstract = {

While genome-wide association studies (GWAS) have primarily examined populations of European ancestry, more recent studies often involve additional populations, including admixed populations such as African Americans and Latinos. In admixed populations, linkage disequilibrium (LD) exists both at a fine scale in ancestral populations and at a coarse scale (admixture-LD) due to chromosomal segments of distinct ancestry. Disease association statistics in admixed populations have previously considered SNP association (LD mapping) or admixture association (mapping by admixture-LD), but not both. Here, we introduce a new statistical framework for combining SNP and admixture association in case-control studies, as well as methods for local ancestry-aware imputation. We illustrate the gain in statistical power achieved by these methods by analyzing data of 6,209 unrelated African Americans from the CARe project genotyped on the Affymetrix 6.0 chip, in conjunction with both simulated and real phenotypes, as well as by analyzing the FGFR2 locus using breast cancer GWAS data from 5,761 African-American women. We show that, at typed SNPs, our method yields an 8\% increase in statistical power for finding disease risk loci compared to the power achieved by standard methods in case-control studies. At imputed SNPs, we observe an 11\% increase in statistical power for mapping disease loci when our local ancestry-aware imputation framework and the new scoring statistic are jointly employed. Finally, we show that our method increases statistical power in regions harboring the causal SNP in the case when the causal SNP is untyped and cannot be imputed. Our methods and our publicly available software are broadly applicable to GWAS in admixed populations.

}, keywords = {African Americans, Algorithms, Breast Neoplasms, Chromosome Mapping, Coronary Disease, Diabetes Mellitus, Type 2, Female, Gene Frequency, Genetic Variation, Genetics, Population, Genome, Human, Genome-Wide Association Study, Genotype, Humans, Linkage Disequilibrium, Male, Odds Ratio, Phenotype, Polymorphism, Single Nucleotide, Principal Component Analysis, Receptor, Fibroblast Growth Factor, Type 2, Software}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1001371}, author = {Pasaniuc, Bogdan and Zaitlen, Noah and Lettre, Guillaume and Chen, Gary K and Tandon, Arti and Kao, W H Linda and Ruczinski, Ingo and Fornage, Myriam and Siscovick, David S and Zhu, Xiaofeng and Larkin, Emma and Lange, Leslie A and Cupples, L Adrienne and Yang, Qiong and Akylbekova, Ermeg L and Musani, Solomon K and Divers, Jasmin and Mychaleckyj, Joe and Li, Mingyao and Papanicolaou, George J and Millikan, Robert C and Ambrosone, Christine B and John, Esther M and Bernstein, Leslie and Zheng, Wei and Hu, Jennifer J and Ziegler, Regina G and Nyante, Sarah J and Bandera, Elisa V and Ingles, Sue A and Press, Michael F and Chanock, Stephen J and Deming, Sandra L and Rodriguez-Gil, Jorge L and Palmer, Cameron D and Buxbaum, Sarah and Ekunwe, Lynette and Hirschhorn, Joel N and Henderson, Brian E and Myers, Simon and Haiman, Christopher A and Reich, David and Patterson, Nick and Wilson, James G and Price, Alkes L} } @article {1287, title = {Genome-wide association analysis of soluble ICAM-1 concentration reveals novel associations at the NFKBIK, PNPLA3, RELA, and SH2B3 loci.}, journal = {PLoS Genet}, volume = {7}, year = {2011}, month = {2011 Apr}, pages = {e1001374}, abstract = {

Soluble ICAM-1 (sICAM-1) is an endothelium-derived inflammatory marker that has been associated with diverse conditions such as myocardial infarction, diabetes, stroke, and malaria. Despite evidence for a heritable component to sICAM-1 levels, few genetic loci have been identified so far. To comprehensively address this issue, we performed a genome-wide association analysis of sICAM-1 concentration in 22,435 apparently healthy women from the Women{\textquoteright}s Genome Health Study. While our results confirm the previously reported associations at the ABO and ICAM1 loci, four novel associations were identified in the vicinity of NFKBIK (rs3136642, P = 5.4 {\texttimes} 10(-9)), PNPLA3 (rs738409, P  =  5.8 {\texttimes} 10(-9)), RELA (rs1049728, P =  2.7 {\texttimes} 10(-16)), and SH2B3 (rs3184504, P =  2.9 {\texttimes} 10(-17)). Two loci, NFKBIB and RELA, are involved in NFKB signaling pathway; PNPLA3 is known for its association with fatty liver disease; and SH3B2 has been associated with a multitude of traits and disease including myocardial infarction. These associations provide insights into the genetic regulation of sICAM-1 levels and implicate these loci in the regulation of endothelial function.

}, keywords = {ABO Blood-Group System, Cohort Studies, Female, Gene Frequency, Genetic Loci, Genome, Human, Genome-Wide Association Study, Genotype, Humans, I-kappa B Kinase, Intercellular Adhesion Molecule-1, Lipase, Membrane Proteins, Models, Genetic, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Proteins, Transcription Factor RelA}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1001374}, author = {Par{\'e}, Guillaume and Ridker, Paul M and Rose, Lynda and Barbalic, Maja and Dupuis, Jos{\'e}e and Dehghan, Abbas and Bis, Joshua C and Benjamin, Emelia J and Shiffman, Dov and Parker, Alexander N and Chasman, Daniel I} } @article {1258, title = {Meta-analysis of gene-environment interaction: joint estimation of SNP and SNP {\texttimes} environment regression coefficients.}, journal = {Genet Epidemiol}, volume = {35}, year = {2011}, month = {2011 Jan}, pages = {11-8}, abstract = {

INTRODUCTION: Genetic discoveries are validated through the meta-analysis of genome-wide association scans in large international consortia. Because environmental variables may interact with genetic factors, investigation of differing genetic effects for distinct levels of an environmental exposure in these large consortia may yield additional susceptibility loci undetected by main effects analysis. We describe a method of joint meta-analysis (JMA) of SNP and SNP by Environment (SNP {\texttimes} E) regression coefficients for use in gene-environment interaction studies.

METHODS: In testing SNP {\texttimes} E interactions, one approach uses a two degree of freedom test to identify genetic variants that influence the trait of interest. This approach detects both main and interaction effects between the trait and the SNP. We propose a method to jointly meta-analyze the SNP and SNP {\texttimes} E coefficients using multivariate generalized least squares. This approach provides confidence intervals of the two estimates, a joint significance test for SNP and SNP {\texttimes} E terms, and a test of homogeneity across samples.

RESULTS: We present a simulation study comparing this method to four other methods of meta-analysis and demonstrate that the JMA performs better than the others when both main and interaction effects are present. Additionally, we implemented our methods in a meta-analysis of the association between SNPs from the type 2 diabetes-associated gene PPARG and log-transformed fasting insulin levels and interaction by body mass index in a combined sample of 19,466 individuals from five cohorts.

}, keywords = {Adult, Aged, Body Mass Index, Confidence Intervals, Diabetes Mellitus, Type 2, Environment, Fasting, Female, Genome, Human, Genome-Wide Association Study, Genotype, Humans, Insulin, Least-Squares Analysis, Male, Mathematical Computing, Meta-Analysis as Topic, Middle Aged, Polymorphism, Single Nucleotide, PPAR gamma}, issn = {1098-2272}, doi = {10.1002/gepi.20546}, author = {Manning, Alisa K and LaValley, Michael and Liu, Ching-Ti and Rice, Kenneth and An, Ping and Liu, Yongmei and Miljkovic, Iva and Rasmussen-Torvik, Laura and Harris, Tamara B and Province, Michael A and Borecki, Ingrid B and Florez, Jose C and Meigs, James B and Cupples, L Adrienne and Dupuis, Jos{\'e}e} } @article {1323, title = {Meta-analysis of genome-wide association studies from the CHARGE consortium identifies common variants associated with carotid intima media thickness and plaque.}, journal = {Nat Genet}, volume = {43}, year = {2011}, month = {2011 Sep 11}, pages = {940-7}, abstract = {

Carotid intima media thickness (cIMT) and plaque determined by ultrasonography are established measures of subclinical atherosclerosis that each predicts future cardiovascular disease events. We conducted a meta-analysis of genome-wide association data in 31,211 participants of European ancestry from nine large studies in the setting of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. We then sought additional evidence to support our findings among 11,273 individuals using data from seven additional studies. In the combined meta-analysis, we identified three genomic regions associated with common carotid intima media thickness and two different regions associated with the presence of carotid plaque (P < 5 {\texttimes} 10(-8)). The associated SNPs mapped in or near genes related to cellular signaling, lipid metabolism and blood pressure homeostasis, and two of the regions were associated with coronary artery disease (P < 0.006) in the Coronary Artery Disease Genome-Wide Replication and Meta-Analysis (CARDIoGRAM) consortium. Our findings may provide new insight into pathways leading to subclinical atherosclerosis and subsequent cardiovascular events.

}, keywords = {Adult, Aged, Aging, Atherosclerosis, Carotid Intima-Media Thickness, Cohort Studies, Coronary Artery Disease, European Continental Ancestry Group, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Genotype, Heart, Humans, Middle Aged, Phenotype, Plaque, Atherosclerotic, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1546-1718}, doi = {10.1038/ng.920}, author = {Bis, Joshua C and Kavousi, Maryam and Franceschini, Nora and Isaacs, Aaron and Abecasis, Goncalo R and Schminke, Ulf and Post, Wendy S and Smith, Albert V and Cupples, L Adrienne and Markus, Hugh S and Schmidt, Reinhold and Huffman, Jennifer E and Lehtim{\"a}ki, Terho and Baumert, Jens and M{\"u}nzel, Thomas and Heckbert, Susan R and Dehghan, Abbas and North, Kari and Oostra, Ben and Bevan, Steve and Stoegerer, Eva-Maria and Hayward, Caroline and Raitakari, Olli and Meisinger, Christa and Schillert, Arne and Sanna, Serena and V{\"o}lzke, Henry and Cheng, Yu-Ching and Thorsson, Bolli and Fox, Caroline S and Rice, Kenneth and Rivadeneira, Fernando and Nambi, Vijay and Halperin, Eran and Petrovic, Katja E and Peltonen, Leena and Wichmann, H Erich and Schnabel, Renate B and D{\"o}rr, Marcus and Parsa, Afshin and Aspelund, Thor and Demissie, Serkalem and Kathiresan, Sekar and Reilly, Muredach P and Taylor, Kent and Uitterlinden, Andre and Couper, David J and Sitzer, Matthias and K{\"a}h{\"o}nen, Mika and Illig, Thomas and Wild, Philipp S and Orr{\`u}, Marco and L{\"u}demann, Jan and Shuldiner, Alan R and Eiriksdottir, Gudny and White, Charles C and Rotter, Jerome I and Hofman, Albert and Seissler, Jochen and Zeller, Tanja and Usala, Gianluca and Ernst, Florian and Launer, Lenore J and D{\textquoteright}Agostino, Ralph B and O{\textquoteright}Leary, Daniel H and Ballantyne, Christie and Thiery, Joachim and Ziegler, Andreas and Lakatta, Edward G and Chilukoti, Ravi Kumar and Harris, Tamara B and Wolf, Philip A and Psaty, Bruce M and Polak, Joseph F and Li, Xia and Rathmann, Wolfgang and Uda, Manuela and Boerwinkle, Eric and Klopp, Norman and Schmidt, Helena and Wilson, James F and Viikari, Jorma and Koenig, Wolfgang and Blankenberg, Stefan and Newman, Anne B and Witteman, Jacqueline and Heiss, Gerardo and Duijn, Cornelia van and Scuteri, Angelo and Homuth, Georg and Mitchell, Braxton D and Gudnason, Vilmundur and O{\textquoteright}Donnell, Christopher J} } @article {1355, title = {New gene functions in megakaryopoiesis and platelet formation.}, journal = {Nature}, volume = {480}, year = {2011}, month = {2011 Nov 30}, pages = {201-8}, abstract = {

Platelets are the second most abundant cell type in blood and are essential for maintaining haemostasis. Their count and volume are tightly controlled within narrow physiological ranges, but there is only limited understanding of the molecular processes controlling both traits. Here we carried out a high-powered meta-analysis of genome-wide association studies (GWAS) in up to 66,867 individuals of European ancestry, followed by extensive biological and functional assessment. We identified 68 genomic loci reliably associated with platelet count and volume mapping to established and putative novel regulators of megakaryopoiesis and platelet formation. These genes show megakaryocyte-specific gene expression patterns and extensive network connectivity. Using gene silencing in Danio rerio and Drosophila melanogaster, we identified 11 of the genes as novel regulators of blood cell formation. Taken together, our findings advance understanding of novel gene functions controlling fate-determining events during megakaryopoiesis and platelet formation, providing a new example of successful translation of GWAS to function.

}, keywords = {Animals, Blood Platelets, Cell Size, Drosophila melanogaster, Drosophila Proteins, Europe, Gene Expression Profiling, Gene Silencing, Genome, Human, Genome-Wide Association Study, Hematopoiesis, Humans, Megakaryocytes, Platelet Count, Protein Interaction Maps, Transcription, Genetic, Zebrafish, Zebrafish Proteins}, issn = {1476-4687}, doi = {10.1038/nature10659}, author = {Gieger, Christian and Radhakrishnan, Aparna and Cvejic, Ana and Tang, Weihong and Porcu, Eleonora and Pistis, Giorgio and Serbanovic-Canic, Jovana and Elling, Ulrich and Goodall, Alison H and Labrune, Yann and Lopez, Lorna M and M{\"a}gi, Reedik and Meacham, Stuart and Okada, Yukinori and Pirastu, Nicola and Sorice, Rossella and Teumer, Alexander and Voss, Katrin and Zhang, Weihua and Ramirez-Solis, Ramiro and Bis, Joshua C and Ellinghaus, David and G{\"o}gele, Martin and Hottenga, Jouke-Jan and Langenberg, Claudia and Kovacs, Peter and O{\textquoteright}Reilly, Paul F and Shin, So-Youn and Esko, T{\~o}nu and Hartiala, Jaana and Kanoni, Stavroula and Murgia, Federico and Parsa, Afshin and Stephens, Jonathan and van der Harst, Pim and Ellen van der Schoot, C and Allayee, Hooman and Attwood, Antony and Balkau, Beverley and Bastardot, Fran{\c c}ois and Basu, Saonli and Baumeister, Sebastian E and Biino, Ginevra and Bomba, Lorenzo and Bonnefond, Am{\'e}lie and Cambien, Francois and Chambers, John C and Cucca, Francesco and D{\textquoteright}Adamo, Pio and Davies, Gail and de Boer, Rudolf A and de Geus, Eco J C and D{\"o}ring, Angela and Elliott, Paul and Erdmann, Jeanette and Evans, David M and Falchi, Mario and Feng, Wei and Folsom, Aaron R and Frazer, Ian H and Gibson, Quince D and Glazer, Nicole L and Hammond, Chris and Hartikainen, Anna-Liisa and Heckbert, Susan R and Hengstenberg, Christian and Hersch, Micha and Illig, Thomas and Loos, Ruth J F and Jolley, Jennifer and Khaw, Kay Tee and Kuhnel, Brigitte and Kyrtsonis, Marie-Christine and Lagou, Vasiliki and Lloyd-Jones, Heather and Lumley, Thomas and Mangino, Massimo and Maschio, Andrea and Mateo Leach, Irene and McKnight, Barbara and Memari, Yasin and Mitchell, Braxton D and Montgomery, Grant W and Nakamura, Yusuke and Nauck, Matthias and Navis, Gerjan and N{\"o}thlings, Ute and Nolte, Ilja M and Porteous, David J and Pouta, Anneli and Pramstaller, Peter P and Pullat, Janne and Ring, Susan M and Rotter, Jerome I and Ruggiero, Daniela and Ruokonen, Aimo and Sala, Cinzia and Samani, Nilesh J and Sambrook, Jennifer and Schlessinger, David and Schreiber, Stefan and Schunkert, Heribert and Scott, James and Smith, Nicholas L and Snieder, Harold and Starr, John M and Stumvoll, Michael and Takahashi, Atsushi and Tang, W H Wilson and Taylor, Kent and Tenesa, Albert and Lay Thein, Swee and T{\"o}njes, Anke and Uda, Manuela and Ulivi, Sheila and van Veldhuisen, Dirk J and Visscher, Peter M and V{\"o}lker, Uwe and Wichmann, H-Erich and Wiggins, Kerri L and Willemsen, Gonneke and Yang, Tsun-Po and Hua Zhao, Jing and Zitting, Paavo and Bradley, John R and Dedoussis, George V and Gasparini, Paolo and Hazen, Stanley L and Metspalu, Andres and Pirastu, Mario and Shuldiner, Alan R and Joost van Pelt, L and Zwaginga, Jaap-Jan and Boomsma, Dorret I and Deary, Ian J and Franke, Andre and Froguel, Philippe and Ganesh, Santhi K and Jarvelin, Marjo-Riitta and Martin, Nicholas G and Meisinger, Christa and Psaty, Bruce M and Spector, Timothy D and Wareham, Nicholas J and Akkerman, Jan-Willem N and Ciullo, Marina and Deloukas, Panos and Greinacher, Andreas and Jupe, Steve and Kamatani, Naoyuki and Khadake, Jyoti and Kooner, Jaspal S and Penninger, Josef and Prokopenko, Inga and Stemple, Derek and Toniolo, Daniela and Wernisch, Lorenz and Sanna, Serena and Hicks, Andrew A and Rendon, Augusto and Ferreira, Manuel A and Ouwehand, Willem H and Soranzo, Nicole} } @article {1345, title = {A phenomics-based strategy identifies loci on APOC1, BRAP, and PLCG1 associated with metabolic syndrome phenotype domains.}, journal = {PLoS Genet}, volume = {7}, year = {2011}, month = {2011 Oct}, pages = {e1002322}, abstract = {

Despite evidence of the clustering of metabolic syndrome components, current approaches for identifying unifying genetic mechanisms typically evaluate clinical categories that do not provide adequate etiological information. Here, we used data from 19,486 European American and 6,287 African American Candidate Gene Association Resource Consortium participants to identify loci associated with the clustering of metabolic phenotypes. Six phenotype domains (atherogenic dyslipidemia, vascular dysfunction, vascular inflammation, pro-thrombotic state, central obesity, and elevated plasma glucose) encompassing 19 quantitative traits were examined. Principal components analysis was used to reduce the dimension of each domain such that >55\% of the trait variance was represented within each domain. We then applied a statistically efficient and computational feasible multivariate approach that related eight principal components from the six domains to 250,000 imputed SNPs using an additive genetic model and including demographic covariates. In European Americans, we identified 606 genome-wide significant SNPs representing 19 loci. Many of these loci were associated with only one trait domain, were consistent with results in African Americans, and overlapped with published findings, for instance central obesity and FTO. However, our approach, which is applicable to any set of interval scale traits that is heritable and exhibits evidence of phenotypic clustering, identified three new loci in or near APOC1, BRAP, and PLCG1, which were associated with multiple phenotype domains. These pleiotropic loci may help characterize metabolic dysregulation and identify targets for intervention.

}, keywords = {African Americans, Apolipoprotein C-I, Blood Glucose, Dyslipidemias, European Continental Ancestry Group, Genetic Association Studies, Genetic Predisposition to Disease, Genome, Human, Humans, Metabolic Syndrome, Obesity, Abdominal, Phenotype, Phospholipase C gamma, Polymorphism, Single Nucleotide, Quantitative Trait, Heritable, Ubiquitin-Protein Ligases, Vascular Diseases}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1002322}, author = {Avery, Christy L and He, Qianchuan and North, Kari E and Ambite, Jos{\'e} L and Boerwinkle, Eric and Fornage, Myriam and Hindorff, Lucia A and Kooperberg, Charles and Meigs, James B and Pankow, James S and Pendergrass, Sarah A and Psaty, Bruce M and Ritchie, Marylyn D and Rotter, Jerome I and Taylor, Kent D and Wilkens, Lynne R and Heiss, Gerardo and Lin, Dan Yu} } @article {1387, title = {Evolution and functional impact of rare coding variation from deep sequencing of human exomes.}, journal = {Science}, volume = {337}, year = {2012}, month = {2012 Jul 06}, pages = {64-9}, abstract = {

As a first step toward understanding how rare variants contribute to risk for complex diseases, we sequenced 15,585 human protein-coding genes to an average median depth of 111{\texttimes} in 2440 individuals of European (n = 1351) and African (n = 1088) ancestry. We identified over 500,000 single-nucleotide variants (SNVs), the majority of which were rare (86\% with a minor allele frequency less than 0.5\%), previously unknown (82\%), and population-specific (82\%). On average, 2.3\% of the 13,595 SNVs each person carried were predicted to affect protein function of ~313 genes per genome, and ~95.7\% of SNVs predicted to be functionally important were rare. This excess of rare functional variants is due to the combined effects of explosive, recent accelerated population growth and weak purifying selection. Furthermore, we show that large sample sizes will be required to associate rare variants with complex traits.

}, keywords = {African Americans, Disease, European Continental Ancestry Group, Evolution, Molecular, Exome, Female, Gene Frequency, Genetic Association Studies, Genetic Predisposition to Disease, Genetic Variation, Genome, Human, High-Throughput Nucleotide Sequencing, Humans, Male, Polymorphism, Single Nucleotide, Population Growth, Selection, Genetic}, issn = {1095-9203}, doi = {10.1126/science.1219240}, author = {Tennessen, Jacob A and Bigham, Abigail W and O{\textquoteright}Connor, Timothy D and Fu, Wenqing and Kenny, Eimear E and Gravel, Simon and McGee, Sean and Do, Ron and Liu, Xiaoming and Jun, Goo and Kang, Hyun Min and Jordan, Daniel and Leal, Suzanne M and Gabriel, Stacey and Rieder, Mark J and Abecasis, Goncalo and Altshuler, David and Nickerson, Deborah A and Boerwinkle, Eric and Sunyaev, Shamil and Bustamante, Carlos D and Bamshad, Michael J and Akey, Joshua M} } @article {6088, title = {Genome-wide joint meta-analysis of SNP and SNP-by-smoking interaction identifies novel loci for pulmonary function.}, journal = {PLoS Genet}, volume = {8}, year = {2012}, month = {2012}, pages = {e1003098}, abstract = {

Genome-wide association studies have identified numerous genetic loci for spirometic measures of pulmonary function, forced expiratory volume in one second (FEV(1)), and its ratio to forced vital capacity (FEV(1)/FVC). Given that cigarette smoking adversely affects pulmonary function, we conducted genome-wide joint meta-analyses (JMA) of single nucleotide polymorphism (SNP) and SNP-by-smoking (ever-smoking or pack-years) associations on FEV(1) and FEV(1)/FVC across 19 studies (total N = 50,047). We identified three novel loci not previously associated with pulmonary function. SNPs in or near DNER (smallest P(JMA = )5.00{\texttimes}10(-11)), HLA-DQB1 and HLA-DQA2 (smallest P(JMA = )4.35{\texttimes}10(-9)), and KCNJ2 and SOX9 (smallest P(JMA = )1.28{\texttimes}10(-8)) were associated with FEV(1)/FVC or FEV(1) in meta-analysis models including SNP main effects, smoking main effects, and SNP-by-smoking (ever-smoking or pack-years) interaction. The HLA region has been widely implicated for autoimmune and lung phenotypes, unlike the other novel loci, which have not been widely implicated. We evaluated DNER, KCNJ2, and SOX9 and found them to be expressed in human lung tissue. DNER and SOX9 further showed evidence of differential expression in human airway epithelium in smokers compared to non-smokers. Our findings demonstrated that joint testing of SNP and SNP-by-environment interaction identified novel loci associated with complex traits that are missed when considering only the genetic main effects.

}, keywords = {Forced Expiratory Volume, Gene Expression, Genome, Human, Genome-Wide Association Study, HLA-DQ Antigens, HLA-DQ beta-Chains, Humans, Lung, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Potassium Channels, Inwardly Rectifying, Pulmonary Disease, Chronic Obstructive, Receptors, Cell Surface, Smoking, SOX9 Transcription Factor, Vital Capacity}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1003098}, author = {Hancock, Dana B and Soler Artigas, Maria and Gharib, Sina A and Henry, Amanda and Manichaikul, Ani and Ramasamy, Adaikalavan and Loth, Daan W and Imboden, Medea and Koch, Beate and McArdle, Wendy L and Smith, Albert V and Smolonska, Joanna and Sood, Akshay and Tang, Wenbo and Wilk, Jemma B and Zhai, Guangju and Zhao, Jing Hua and Aschard, Hugues and Burkart, Kristin M and Curjuric, Ivan and Eijgelsheim, Mark and Elliott, Paul and Gu, Xiangjun and Harris, Tamara B and Janson, Christer and Homuth, Georg and Hysi, Pirro G and Liu, Jason Z and Loehr, Laura R and Lohman, Kurt and Loos, Ruth J F and Manning, Alisa K and Marciante, Kristin D and Obeidat, Ma{\textquoteright}en and Postma, Dirkje S and Aldrich, Melinda C and Brusselle, Guy G and Chen, Ting-Hsu and Eiriksdottir, Gudny and Franceschini, Nora and Heinrich, Joachim and Rotter, Jerome I and Wijmenga, Cisca and Williams, O Dale and Bentley, Amy R and Hofman, Albert and Laurie, Cathy C and Lumley, Thomas and Morrison, Alanna C and Joubert, Bonnie R and Rivadeneira, Fernando and Couper, David J and Kritchevsky, Stephen B and Liu, Yongmei and Wjst, Matthias and Wain, Louise V and Vonk, Judith M and Uitterlinden, Andr{\'e} G and Rochat, Thierry and Rich, Stephen S and Psaty, Bruce M and O{\textquoteright}Connor, George T and North, Kari E and Mirel, Daniel B and Meibohm, Bernd and Launer, Lenore J and Khaw, Kay-Tee and Hartikainen, Anna-Liisa and Hammond, Christopher J and Gl{\"a}ser, Sven and Marchini, Jonathan and Kraft, Peter and Wareham, Nicholas J and V{\"o}lzke, Henry and Stricker, Bruno H C and Spector, Timothy D and Probst-Hensch, Nicole M and Jarvis, Deborah and Jarvelin, Marjo-Riitta and Heckbert, Susan R and Gudnason, Vilmundur and Boezen, H Marike and Barr, R Graham and Cassano, Patricia A and Strachan, David P and Fornage, Myriam and Hall, Ian P and Dupuis, Jos{\'e}e and Tobin, Martin D and London, Stephanie J} } @article {6179, title = {Impact of ancestry and common genetic variants on QT interval in African Americans.}, journal = {Circ Cardiovasc Genet}, volume = {5}, year = {2012}, month = {2012 Dec}, pages = {647-55}, abstract = {

BACKGROUND: Ethnic differences in cardiac arrhythmia incidence have been reported, with a particularly high incidence of sudden cardiac death and low incidence of atrial fibrillation in individuals of African ancestry. We tested the hypotheses that African ancestry and common genetic variants are associated with prolonged duration of cardiac repolarization, a central pathophysiological determinant of arrhythmia, as measured by the electrocardiographic QT interval.

METHODS AND RESULTS: First, individual estimates of African and European ancestry were inferred from genome-wide single-nucleotide polymorphism (SNP) data in 7 population-based cohorts of African Americans (n=12,097) and regressed on measured QT interval from ECGs. Second, imputation was performed for 2.8 million SNPs, and a genome-wide association study of QT interval was performed in 10 cohorts (n=13,105). There was no evidence of association between genetic ancestry and QT interval (P=0.94). Genome-wide significant associations (P<2.5 {\texttimes} 10(-8)) were identified with SNPs at 2 loci, upstream of the genes NOS1AP (rs12143842, P=2 {\texttimes} 10(-15)) and ATP1B1 (rs1320976, P=2 {\texttimes} 10(-10)). The most significant SNP in NOS1AP was the same as the strongest SNP previously associated with QT interval in individuals of European ancestry. Low probability values (P<10(-5)) were observed for SNPs at several other loci previously identified in genome-wide association studies in individuals of European ancestry, including KCNQ1, KCNH2, LITAF, and PLN.

CONCLUSIONS: We observed no difference in duration of cardiac repolarization with global genetic indices of African American ancestry. In addition, our genome-wide association study extends the association of polymorphisms at several loci associated with repolarization in individuals of European ancestry to include individuals of African ancestry.

}, keywords = {Adult, African Americans, Aged, Electrocardiography, European Continental Ancestry Group, Female, Genealogy and Heraldry, Genetic Variation, Genome, Human, Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.112.962787}, author = {Smith, J Gustav and Avery, Christy L and Evans, Daniel S and Nalls, Michael A and Meng, Yan A and Smith, Erin N and Palmer, Cameron and Tanaka, Toshiko and Mehra, Reena and Butler, Anne M and Young, Taylor and Buxbaum, Sarah G and Kerr, Kathleen F and Berenson, Gerald S and Schnabel, Renate B and Li, Guo and Ellinor, Patrick T and Magnani, Jared W and Chen, Wei and Bis, Joshua C and Curb, J David and Hsueh, Wen-Chi and Rotter, Jerome I and Liu, Yongmei and Newman, Anne B and Limacher, Marian C and North, Kari E and Reiner, Alexander P and Quibrera, P Miguel and Schork, Nicholas J and Singleton, Andrew B and Psaty, Bruce M and Soliman, Elsayed Z and Solomon, Allen J and Srinivasan, Sathanur R and Alonso, Alvaro and Wallace, Robert and Redline, Susan and Zhang, Zhu-Ming and Post, Wendy S and Zonderman, Alan B and Taylor, Herman A and Murray, Sarah S and Ferrucci, Luigi and Arking, Dan E and Evans, Michele K and Fox, Ervin R and Sotoodehnia, Nona and Heckbert, Susan R and Whitsel, Eric A and Newton-Cheh, Christopher} } @article {1544, title = {Ultraconserved elements in the human genome: association and transmission analyses of highly constrained single-nucleotide polymorphisms.}, journal = {Genetics}, volume = {192}, year = {2012}, month = {2012 Sep}, pages = {253-66}, abstract = {

Ultraconserved elements in the human genome likely harbor important biological functions as they are dosage sensitive and are able to direct tissue-specific expression. Because they are under purifying selection, variants in these elements may have a lower frequency in the population but a higher likelihood of association with complex traits. We tested a set of highly constrained SNPs (hcSNPs) distributed genome-wide among ultraconserved and nearly ultraconserved elements for association with seven traits related to reproductive (age at natural menopause, number of children, age at first child, and age at last child) and overall [longevity, body mass index (BMI), and height] fitness. Using up to 24,047 European-American samples from the National Heart, Lung, and Blood Institute Candidate Gene Association Resource (CARe), we observed an excess of associations with BMI and height. In an independent replication panel the most strongly associated SNPs showed an 8.4-fold enrichment of associations at the nominal level, including three variants in previously identified loci and one in a locus (DENND1A) previously shown to be associated with polycystic ovary syndrome. Finally, using 1430 family trios, we showed that the transmissions from heterozygous parents to offspring of the derived alleles of rare (frequency <= 0.5\%) hcSNPs are not biased, particularly after adjusting for the rates of genotype missingness and error in the data. The lack of transmission bias ruled out an immediately and strongly deleterious effect due to the rare derived alleles, consistent with the observation that mice homozygous for the deletion of ultraconserved elements showed no overt phenotype. Our study also illustrated the importance of carefully modeling potential technical confounders when analyzing genotype data of rare variants.

}, keywords = {Alleles, Animals, Body Height, Body Mass Index, Child, Conserved Sequence, Dogs, Evolution, Molecular, Female, Genetic Fitness, Genetic Variation, Genome, Human, Genotype, Humans, Inheritance Patterns, Male, Mice, Pedigree, Phenotype, Polymorphism, Single Nucleotide, Rats, Reproduction, Young Adult}, issn = {1943-2631}, doi = {10.1534/genetics.112.141945}, author = {Chiang, Charleston W K and Liu, Ching-Ti and Lettre, Guillaume and Lange, Leslie A and Jorgensen, Neal W and Keating, Brendan J and Vedantam, Sailaja and Nock, Nora L and Franceschini, Nora and Reiner, Alex P and Demerath, Ellen W and Boerwinkle, Eric and Rotter, Jerome I and Wilson, James G and North, Kari E and Papanicolaou, George J and Cupples, L Adrienne and Murabito, Joanne M and Hirschhorn, Joel N} } @article {6138, title = {Exome sequencing and genome-wide linkage analysis in 17 families illustrate the complex contribution of TTN truncating variants to dilated cardiomyopathy.}, journal = {Circ Cardiovasc Genet}, volume = {6}, year = {2013}, month = {2013 Apr}, pages = {144-53}, abstract = {

BACKGROUND- Familial dilated cardiomyopathy (DCM) is a genetically heterogeneous disease with >30 known genes. TTN truncating variants were recently implicated in a candidate gene study to cause 25\% of familial and 18\% of sporadic DCM cases. METHODS AND RESULTS- We used an unbiased genome-wide approach using both linkage analysis and variant filtering across the exome sequences of 48 individuals affected with DCM from 17 families to identify genetic cause. Linkage analysis ranked the TTN region as falling under the second highest genome-wide multipoint linkage peak, multipoint logarithm of odds, 1.59. We identified 6 TTN truncating variants carried by individuals affected with DCM in 7 of 17 DCM families (logarithm of odds, 2.99); 2 of these 7 families also had novel missense variants that segregated with disease. Two additional novel truncating TTN variants did not segregate with DCM. Nucleotide diversity at the TTN locus, including missense variants, was comparable with 5 other known DCM genes. The average number of missense variants in the exome sequences from the DCM cases or the ≈5400 cases from the Exome Sequencing Project was ≈23 per individual. The average number of TTN truncating variants in the Exome Sequencing Project was 0.014 per individual. We also identified a region (chr9q21.11-q22.31) with no known DCM genes with a maximum heterogeneity logarithm of odds score of 1.74. CONCLUSIONS- These data suggest that TTN truncating variants contribute to DCM cause. However, the lack of segregation of all identified TTN truncating variants illustrates the challenge of determining variant pathogenicity even with full exome sequencing.

}, keywords = {Adolescent, Adult, Aged, Cardiomyopathy, Dilated, Chromosomes, Human, Pair 9, Connectin, Exome, Female, Genetic Heterogeneity, Genetic Linkage, Genetic Loci, Genome, Human, Humans, Male, Middle Aged, Muscle Proteins, Mutation, Missense, Odds Ratio, Pedigree, Protein Kinases, Sequence Analysis, DNA, Young Adult}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.111.000062}, author = {Norton, Nadine and Li, Duanxiang and Rampersaud, Evadnie and Morales, Ana and Martin, Eden R and Zuchner, Stephan and Guo, Shengru and Gonzalez, Michael and Hedges, Dale J and Robertson, Peggy D and Krumm, Niklas and Nickerson, Deborah A and Hershberger, Ray E} } @article {6626, title = {Fine Mapping and Identification of BMI Loci in African Americans.}, journal = {Am J Hum Genet}, volume = {93}, year = {2013}, month = {2013 Oct 3}, pages = {661-71}, abstract = {

Genome-wide association studies (GWASs) primarily performed in European-ancestry (EA) populations have identified numerous loci associated with body mass index (BMI). However, it is still unclear whether these GWAS loci can be generalized to other ethnic groups, such as African Americans (AAs). Furthermore, the putative functional variant or variants in these loci mostly remain under investigation. The overall lower linkage disequilibrium in AA compared to EA populations provides the opportunity to narrow in or fine-map these BMI-related loci. Therefore, we used the Metabochip to densely genotype and evaluate 21 BMI GWAS loci identified in EA studies in 29,151 AAs from the Population Architecture using Genomics and Epidemiology (PAGE) study. Eight of the 21 loci (SEC16B, TMEM18, ETV5, GNPDA2, TFAP2B, BDNF, FTO, and MC4R) were found to be associated with BMI in AAs at 5.8~{\texttimes} 10(-5). Within seven out of these eight loci, we found that, on average, a substantially smaller number of variants was correlated (r(2) > 0.5) with the most significant SNP in AA than in EA populations (16 versus 55). Conditional analyses revealed GNPDA2 harboring a potential additional independent signal. Moreover, Metabochip-wide discovery analyses revealed two BMI-related loci, BRE (rs116612809, p = 3.6~{\texttimes} 10(-8)) and DHX34 (rs4802349, p = 1.2~{\texttimes} 10(-7)), which were significant when adjustment was made for the total number of SNPs tested across the chip. These results demonstrate that fine mapping in AAs is a powerful approach for both narrowing in on the underlying causal variants in known loci and discovering BMI-related loci.

}, keywords = {Adult, African Americans, Aged, Aged, 80 and over, Body Mass Index, Female, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Genotype, Humans, Linkage Disequilibrium, Male, Middle Aged, Obesity, Polymorphism, Single Nucleotide, Young Adult}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2013.08.012}, author = {Gong, Jian and Schumacher, Fredrick and Lim, Unhee and Hindorff, Lucia A and Haessler, Jeff and Buyske, Steven and Carlson, Christopher S and Rosse, Stephanie and B{\r u}zkov{\'a}, Petra and Fornage, Myriam and Gross, Myron and Pankratz, Nathan and Pankow, James S and Schreiner, Pamela J and Cooper, Richard and Ehret, Georg and Gu, C Charles and Houston, Denise and Irvin, Marguerite R and Jackson, Rebecca and Kuller, Lew and Henderson, Brian and Cheng, Iona and Wilkens, Lynne and Leppert, Mark and Lewis, Cora E and Li, Rongling and Nguyen, Khanh-Dung H and Goodloe, Robert and Farber-Eger, Eric and Boston, Jonathan and Dilks, Holli H and Ritchie, Marylyn D and Fowke, Jay and Pooler, Loreall and Graff, Misa and Fernandez-Rhodes, Lindsay and Cochrane, Barbara and Boerwinkle, Eric and Kooperberg, Charles and Matise, Tara C and Le Marchand, Lo{\"\i}c and Crawford, Dana C and Haiman, Christopher A and North, Kari E and Peters, Ulrike} } @article {6627, title = {Investigation of gene-by-sex interactions for lipid traits in diverse populations from the population architecture using genomics and epidemiology study.}, journal = {BMC Genet}, volume = {14}, year = {2013}, month = {2013}, pages = {33}, abstract = {

BACKGROUND: High-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglyceride (TG) levels are influenced by both genes and the environment. Genome-wide association studies (GWAS) have identified ~100 common genetic variants associated with HDL-C, LDL-C, and/or TG levels, mostly in populations of European descent, but little is known about the modifiers of these associations. Here, we investigated whether GWAS-identified SNPs for lipid traits exhibited heterogeneity by sex in the Population Architecture using Genomics and Epidemiology (PAGE) study.

RESULTS: A sex-stratified meta-analysis was performed for 49 GWAS-identified SNPs for fasting HDL-C, LDL-C, and ln(TG) levels among adults self-identified as European American (25,013). Heterogeneity by sex was established when phet < 0.001. There was evidence for heterogeneity by sex for two SNPs for ln(TG) in the APOA1/C3/A4/A5/BUD13 gene cluster: rs28927680 (p(het) = 7.4 x 10(-7)) and rs3135506 (p(het) = 4.3 x 10(-4)one SNP in PLTP for HDL levels (rs7679; p(het) = 9.9 x 10(-4)), and one in HMGCR for LDL levels (rs12654264; p(het) = 3.1 x 10(-5)). We replicated heterogeneity by sex in five of seventeen loci previously reported by genome-wide studies (binomial p = 0.0009). We also present results for other racial/ethnic groups in the supplementary materials, to provide a resource for future meta-analyses.

CONCLUSIONS: We provide further evidence for sex-specific effects of SNPs in the APOA1/C3/A4/A5/BUD13 gene cluster, PLTP, and HMGCR on fasting triglyceride levels in European Americans from the PAGE study. Our findings emphasize the need for considering context-specific effects when interpreting genetic associations emerging from GWAS, and also highlight the difficulties in replicating interaction effects across studies and across racial/ethnic groups.

}, keywords = {Female, Genetic Heterogeneity, Genome, Human, Genome-Wide Association Study, Humans, Lipids, Male, Polymorphism, Single Nucleotide, Population Groups}, issn = {1471-2156}, doi = {10.1186/1471-2156-14-33}, author = {Taylor, Kira C and Carty, Cara L and Dumitrescu, Logan and B{\r u}zkov{\'a}, Petra and Cole, Shelley A and Hindorff, Lucia and Schumacher, Fred R and Wilkens, Lynne R and Shohet, Ralph V and Quibrera, P Miguel and Johnson, Karen C and Henderson, Brian E and Haessler, Jeff and Franceschini, Nora and Eaton, Charles B and Duggan, David J and Cochran, Barbara and Cheng, Iona and Carlson, Chris S and Brown-Gentry, Kristin and Anderson, Garnet and Ambite, Jose Luis and Haiman, Christopher and Le Marchand, Lo{\"\i}c and Kooperberg, Charles and Crawford, Dana C and Buyske, Steven and North, Kari E and Fornage, Myriam} } @article {6028, title = {Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits.}, journal = {PLoS Genet}, volume = {9}, year = {2013}, month = {2013 Jun}, pages = {e1003500}, abstract = {

Given the anthropometric differences between men and women and previous evidence of sex-difference in genetic effects, we conducted a genome-wide search for sexually dimorphic associations with height, weight, body mass index, waist circumference, hip circumference, and waist-to-hip-ratio (133,723 individuals) and took forward 348 SNPs into follow-up (additional 137,052 individuals) in a total of 94 studies. Seven loci displayed significant sex-difference (FDR<5\%), including four previously established (near GRB14/COBLL1, LYPLAL1/SLC30A10, VEGFA, ADAMTS9) and three novel anthropometric trait loci (near MAP3K1, HSD17B4, PPARG), all of which were genome-wide significant in women (P<5{\texttimes}10(-8)), but not in men. Sex-differences were apparent only for waist phenotypes, not for height, weight, BMI, or hip circumference. Moreover, we found no evidence for genetic effects with opposite directions in men versus women. The PPARG locus is of specific interest due to its role in diabetes genetics and therapy. Our results demonstrate the value of sex-specific GWAS to unravel the sexually dimorphic genetic underpinning of complex traits.

}, keywords = {Anthropometry, Body Height, Body Mass Index, Body Weight, Body Weights and Measures, Female, Genetic Loci, Genome, Human, Genome-Wide Association Study, Humans, Male, Polymorphism, Single Nucleotide, Sex Characteristics, Waist Circumference, Waist-Hip Ratio}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1003500}, author = {Randall, Joshua C and Winkler, Thomas W and Kutalik, Zolt{\'a}n and Berndt, Sonja I and Jackson, Anne U and Monda, Keri L and Kilpel{\"a}inen, Tuomas O and Esko, T{\~o}nu and M{\"a}gi, Reedik and Li, Shengxu and Workalemahu, Tsegaselassie and Feitosa, Mary F and Croteau-Chonka, Damien C and Day, Felix R and Fall, Tove and Ferreira, Teresa and Gustafsson, Stefan and Locke, Adam E and Mathieson, Iain and Scherag, Andre and Vedantam, Sailaja and Wood, Andrew R and Liang, Liming and Steinthorsdottir, Valgerdur and Thorleifsson, Gudmar and Dermitzakis, Emmanouil T and Dimas, Antigone S and Karpe, Fredrik and Min, Josine L and Nicholson, George and Clegg, Deborah J and Person, Thomas and Krohn, Jon P and Bauer, Sabrina and Buechler, Christa and Eisinger, Kristina and Bonnefond, Am{\'e}lie and Froguel, Philippe and Hottenga, Jouke-Jan and Prokopenko, Inga and Waite, Lindsay L and Harris, Tamara B and Smith, Albert Vernon and Shuldiner, Alan R and McArdle, Wendy L and Caulfield, Mark J and Munroe, Patricia B and Gr{\"o}nberg, Henrik and Chen, Yii-Der Ida and Li, Guo and Beckmann, Jacques S and Johnson, Toby and Thorsteinsdottir, Unnur and Teder-Laving, Maris and Khaw, Kay-Tee and Wareham, Nicholas J and Zhao, Jing Hua and Amin, Najaf and Oostra, Ben A and Kraja, Aldi T and Province, Michael A and Cupples, L Adrienne and Heard-Costa, Nancy L and Kaprio, Jaakko and Ripatti, Samuli and Surakka, Ida and Collins, Francis S and Saramies, Jouko and Tuomilehto, Jaakko and Jula, Antti and Salomaa, Veikko and Erdmann, Jeanette and Hengstenberg, Christian and Loley, Christina and Schunkert, Heribert and Lamina, Claudia and Wichmann, H Erich and Albrecht, Eva and Gieger, Christian and Hicks, Andrew A and Johansson, Asa and Pramstaller, Peter P and Kathiresan, Sekar and Speliotes, Elizabeth K and Penninx, Brenda and Hartikainen, Anna-Liisa and Jarvelin, Marjo-Riitta and Gyllensten, Ulf and Boomsma, Dorret I and Campbell, Harry and Wilson, James F and Chanock, Stephen J and Farrall, Martin and Goel, Anuj and Medina-G{\'o}mez, Carolina and Rivadeneira, Fernando and Estrada, Karol and Uitterlinden, Andr{\'e} G and Hofman, Albert and Zillikens, M Carola and den Heijer, Martin and Kiemeney, Lambertus A and Maschio, Andrea and Hall, Per and Tyrer, Jonathan and Teumer, Alexander and V{\"o}lzke, Henry and Kovacs, Peter and T{\"o}njes, Anke and Mangino, Massimo and Spector, Tim D and Hayward, Caroline and Rudan, Igor and Hall, Alistair S and Samani, Nilesh J and Attwood, Antony Paul and Sambrook, Jennifer G and Hung, Joseph and Palmer, Lyle J and Lokki, Marja-Liisa and Sinisalo, Juha and Boucher, Gabrielle and Huikuri, Heikki and Lorentzon, Mattias and Ohlsson, Claes and Eklund, Niina and Eriksson, Johan G and Barlassina, Cristina and Rivolta, Carlo and Nolte, Ilja M and Snieder, Harold and van der Klauw, Melanie M and van Vliet-Ostaptchouk, Jana V and Gejman, Pablo V and Shi, Jianxin and Jacobs, Kevin B and Wang, Zhaoming and Bakker, Stephan J L and Mateo Leach, Irene and Navis, Gerjan and van der Harst, Pim and Martin, Nicholas G and Medland, Sarah E and Montgomery, Grant W and Yang, Jian and Chasman, Daniel I and Ridker, Paul M and Rose, Lynda M and Lehtim{\"a}ki, Terho and Raitakari, Olli and Absher, Devin and Iribarren, Carlos and Basart, Hanneke and Hovingh, Kees G and Hypp{\"o}nen, Elina and Power, Chris and Anderson, Denise and Beilby, John P and Hui, Jennie and Jolley, Jennifer and Sager, Hendrik and Bornstein, Stefan R and Schwarz, Peter E H and Kristiansson, Kati and Perola, Markus and Lindstr{\"o}m, Jaana and Swift, Amy J and Uusitupa, Matti and Atalay, Mustafa and Lakka, Timo A and Rauramaa, Rainer and Bolton, Jennifer L and Fowkes, Gerry and Fraser, Ross M and Price, Jackie F and Fischer, Krista and Krjut{\r a} Kov, Kaarel and Metspalu, Andres and Mihailov, Evelin and Langenberg, Claudia and Luan, Jian{\textquoteright}an and Ong, Ken K and Chines, Peter S and Keinanen-Kiukaanniemi, Sirkka M and Saaristo, Timo E and Edkins, Sarah and Franks, Paul W and Hallmans, G{\"o}ran and Shungin, Dmitry and Morris, Andrew David and Palmer, Colin N A and Erbel, Raimund and Moebus, Susanne and N{\"o}then, Markus M and Pechlivanis, Sonali and Hveem, Kristian and Narisu, Narisu and Hamsten, Anders and Humphries, Steve E and Strawbridge, Rona J and Tremoli, Elena and Grallert, Harald and Thorand, Barbara and Illig, Thomas and Koenig, Wolfgang and M{\"u}ller-Nurasyid, Martina and Peters, Annette and Boehm, Bernhard O and Kleber, Marcus E and M{\"a}rz, Winfried and Winkelmann, Bernhard R and Kuusisto, Johanna and Laakso, Markku and Arveiler, Dominique and Cesana, Giancarlo and Kuulasmaa, Kari and Virtamo, Jarmo and Yarnell, John W G and Kuh, Diana and Wong, Andrew and Lind, Lars and de Faire, Ulf and Gigante, Bruna and Magnusson, Patrik K E and Pedersen, Nancy L and Dedoussis, George and Dimitriou, Maria and Kolovou, Genovefa and Kanoni, Stavroula and Stirrups, Kathleen and Bonnycastle, Lori L and Nj{\o}lstad, Inger and Wilsgaard, Tom and Ganna, Andrea and Rehnberg, Emil and Hingorani, Aroon and Kivimaki, Mika and Kumari, Meena and Assimes, Themistocles L and Barroso, In{\^e}s and Boehnke, Michael and Borecki, Ingrid B and Deloukas, Panos and Fox, Caroline S and Frayling, Timothy and Groop, Leif C and Haritunians, Talin and Hunter, David and Ingelsson, Erik and Kaplan, Robert and Mohlke, Karen L and O{\textquoteright}Connell, Jeffrey R and Schlessinger, David and Strachan, David P and Stefansson, Kari and van Duijn, Cornelia M and Abecasis, Goncalo R and McCarthy, Mark I and Hirschhorn, Joel N and Qi, Lu and Loos, Ruth J F and Lindgren, Cecilia M and North, Kari E and Heid, Iris M} } @article {6283, title = {Whole-genome sequence-based analysis of high-density lipoprotein cholesterol.}, journal = {Nat Genet}, volume = {45}, year = {2013}, month = {2013 Aug}, pages = {899-901}, abstract = {

We describe initial steps for interrogating whole-genome sequence data to characterize the genetic architecture of a complex trait, levels of high-density lipoprotein cholesterol (HDL-C). We report whole-genome sequencing and analysis of 962 individuals from the Cohorts for Heart and Aging Research in Genetic Epidemiology (CHARGE) studies. From this analysis, we estimate that common variation contributes more to heritability of HDL-C levels than rare variation, and screening for mendelian variants for dyslipidemia identified individuals with extreme HDL-C levels. Whole-genome sequencing analyses highlight the value of regulatory and non-protein-coding regions of the genome in addition to protein-coding regions.

}, keywords = {Cholesterol, HDL, Computational Biology, Databases, Genetic, Genetic Variation, Genome, Human, Genome-Wide Association Study, Genomics, Heterozygote, Humans, Open Reading Frames}, issn = {1546-1718}, doi = {10.1038/ng.2671}, author = {Morrison, Alanna C and Voorman, Arend and Johnson, Andrew D and Liu, Xiaoming and Yu, Jin and Li, Alexander and Muzny, Donna and Yu, Fuli and Rice, Kenneth and Zhu, Chengsong and Bis, Joshua and Heiss, Gerardo and O{\textquoteright}Donnell, Christopher J and Psaty, Bruce M and Cupples, L Adrienne and Gibbs, Richard and Boerwinkle, Eric} } @article {6582, title = {Genome-wide association analysis identifies six new loci associated with forced vital capacity.}, journal = {Nat Genet}, volume = {46}, year = {2014}, month = {2014 Jul}, pages = {669-77}, abstract = {

Forced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in 32,917 additional individuals of European ancestry. We found six new regions associated at genome-wide significance (P < 5 {\texttimes} 10(-8)) with FVC in or near EFEMP1, BMP6, MIR129-2-HSD17B12, PRDM11, WWOX and KCNJ2. Two loci previously associated with spirometric measures (GSTCD and PTCH1) were related to FVC. Newly implicated regions were followed up in samples from African-American, Korean, Chinese and Hispanic individuals. We detected transcripts for all six newly implicated genes in human lung tissue. The new loci may inform mechanisms involved in lung development and the pathogenesis of restrictive lung disease.

}, keywords = {Cohort Studies, Databases, Genetic, Follow-Up Studies, Forced Expiratory Volume, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Lung Diseases, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Prognosis, Quantitative Trait Loci, Respiratory Function Tests, Spirometry, Vital Capacity}, issn = {1546-1718}, doi = {10.1038/ng.3011}, author = {Loth, Daan W and Soler Artigas, Maria and Gharib, Sina A and Wain, Louise V and Franceschini, Nora and Koch, Beate and Pottinger, Tess D and Smith, Albert Vernon and Duan, Qing and Oldmeadow, Chris and Lee, Mi Kyeong and Strachan, David P and James, Alan L and Huffman, Jennifer E and Vitart, Veronique and Ramasamy, Adaikalavan and Wareham, Nicholas J and Kaprio, Jaakko and Wang, Xin-Qun and Trochet, Holly and K{\"a}h{\"o}nen, Mika and Flexeder, Claudia and Albrecht, Eva and Lopez, Lorna M and de Jong, Kim and Thyagarajan, Bharat and Alves, Alexessander Couto and Enroth, Stefan and Omenaas, Ernst and Joshi, Peter K and Fall, Tove and Vi{\~n}uela, Ana and Launer, Lenore J and Loehr, Laura R and Fornage, Myriam and Li, Guo and Wilk, Jemma B and Tang, Wenbo and Manichaikul, Ani and Lahousse, Lies and Harris, Tamara B and North, Kari E and Rudnicka, Alicja R and Hui, Jennie and Gu, Xiangjun and Lumley, Thomas and Wright, Alan F and Hastie, Nicholas D and Campbell, Susan and Kumar, Rajesh and Pin, Isabelle and Scott, Robert A and Pietil{\"a}inen, Kirsi H and Surakka, Ida and Liu, Yongmei and Holliday, Elizabeth G and Schulz, Holger and Heinrich, Joachim and Davies, Gail and Vonk, Judith M and Wojczynski, Mary and Pouta, Anneli and Johansson, Asa and Wild, Sarah H and Ingelsson, Erik and Rivadeneira, Fernando and V{\"o}lzke, Henry and Hysi, Pirro G and Eiriksdottir, Gudny and Morrison, Alanna C and Rotter, Jerome I and Gao, Wei and Postma, Dirkje S and White, Wendy B and Rich, Stephen S and Hofman, Albert and Aspelund, Thor and Couper, David and Smith, Lewis J and Psaty, Bruce M and Lohman, Kurt and Burchard, Esteban G and Uitterlinden, Andr{\'e} G and Garcia, Melissa and Joubert, Bonnie R and McArdle, Wendy L and Musk, A Bill and Hansel, Nadia and Heckbert, Susan R and Zgaga, Lina and van Meurs, Joyce B J and Navarro, Pau and Rudan, Igor and Oh, Yeon-Mok and Redline, Susan and Jarvis, Deborah L and Zhao, Jing Hua and Rantanen, Taina and O{\textquoteright}Connor, George T and Ripatti, Samuli and Scott, Rodney J and Karrasch, Stefan and Grallert, Harald and Gaddis, Nathan C and Starr, John M and Wijmenga, Cisca and Minster, Ryan L and Lederer, David J and Pekkanen, Juha and Gyllensten, Ulf and Campbell, Harry and Morris, Andrew P and Gl{\"a}ser, Sven and Hammond, Christopher J and Burkart, Kristin M and Beilby, John and Kritchevsky, Stephen B and Gudnason, Vilmundur and Hancock, Dana B and Williams, O Dale and Polasek, Ozren and Zemunik, Tatijana and Kolcic, Ivana and Petrini, Marcy F and Wjst, Matthias and Kim, Woo Jin and Porteous, David J and Scotland, Generation and Smith, Blair H and Viljanen, Anne and Heli{\"o}vaara, Markku and Attia, John R and Sayers, Ian and Hampel, Regina and Gieger, Christian and Deary, Ian J and Boezen, H Marike and Newman, Anne and Jarvelin, Marjo-Riitta and Wilson, James F and Lind, Lars and Stricker, Bruno H and Teumer, Alexander and Spector, Timothy D and Mel{\'e}n, Erik and Peters, Marjolein J and Lange, Leslie A and Barr, R Graham and Bracke, Ken R and Verhamme, Fien M and Sung, Joohon and Hiemstra, Pieter S and Cassano, Patricia A and Sood, Akshay and Hayward, Caroline and Dupuis, Jos{\'e}e and Hall, Ian P and Brusselle, Guy G and Tobin, Martin D and London, Stephanie J} } @article {6573, title = {Trans-ethnic meta-analysis of white blood cell phenotypes.}, journal = {Hum Mol Genet}, volume = {23}, year = {2014}, month = {2014 Dec 20}, pages = {6944-60}, abstract = {

White blood cell (WBC) count is a common clinical measure used as a predictor of certain aspects of human health, including immunity and infection status. WBC count is also a complex trait that varies among individuals and ancestry groups. Differences in linkage disequilibrium structure and heterogeneity in allelic effects are expected to play a role in the associations observed between populations. Prior genome-wide association study (GWAS) meta-analyses have identified genomic loci associated with WBC and its subtypes, but much of the heritability of these phenotypes remains unexplained. Using GWAS summary statistics for over 50 000 individuals from three diverse populations (Japanese, African-American and European ancestry), a Bayesian model methodology was employed to account for heterogeneity between ancestry groups. This approach was used to perform a trans-ethnic meta-analysis of total WBC, neutrophil and monocyte counts. Ten previously known associations were replicated and six new loci were identified, including several regions harboring genes related to inflammation and immune cell function. Ninety-five percent credible interval regions were calculated to narrow the association signals and fine-map the putatively causal variants within loci. Finally, a conditional analysis was performed on the most significant SNPs identified by the trans-ethnic meta-analysis (MA), and nine secondary signals within loci previously associated with WBC or its subtypes were identified. This work illustrates the potential of trans-ethnic analysis and ascribes a critical role to multi-ethnic cohorts and consortia in exploring complex phenotypes with respect to variants that lie outside the European-biased GWAS pool.

}, keywords = {African Americans, Asian Continental Ancestry Group, Bayes Theorem, European Continental Ancestry Group, Genome, Human, Genome-Wide Association Study, Genotype, Humans, Leukocyte Count, Leukocytes, Linkage Disequilibrium, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci}, issn = {1460-2083}, doi = {10.1093/hmg/ddu401}, author = {Keller, Margaux F and Reiner, Alexander P and Okada, Yukinori and van Rooij, Frank J A and Johnson, Andrew D and Chen, Ming-Huei and Smith, Albert V and Morris, Andrew P and Tanaka, Toshiko and Ferrucci, Luigi and Zonderman, Alan B and Lettre, Guillaume and Harris, Tamara and Garcia, Melissa and Bandinelli, Stefania and Qayyum, Rehan and Yanek, Lisa R and Becker, Diane M and Becker, Lewis C and Kooperberg, Charles and Keating, Brendan and Reis, Jared and Tang, Hua and Boerwinkle, Eric and Kamatani, Yoichiro and Matsuda, Koichi and Kamatani, Naoyuki and Nakamura, Yusuke and Kubo, Michiaki and Liu, Simin and Dehghan, Abbas and Felix, Janine F and Hofman, Albert and Uitterlinden, Andr{\'e} G and van Duijn, Cornelia M and Franco, Oscar H and Longo, Dan L and Singleton, Andrew B and Psaty, Bruce M and Evans, Michelle K and Cupples, L Adrienne and Rotter, Jerome I and O{\textquoteright}Donnell, Christopher J and Takahashi, Atsushi and Wilson, James G and Ganesh, Santhi K and Nalls, Mike A} } @article {6602, title = {Generalized estimating equations for genome-wide association studies using longitudinal phenotype data.}, journal = {Stat Med}, volume = {34}, year = {2015}, month = {2015 Jan 15}, pages = {118-30}, abstract = {

Many longitudinal cohort studies have both genome-wide measures of genetic variation and repeated measures of phenotypes and environmental exposures. Genome-wide association study analyses have typically used only cross-sectional data to evaluate quantitative phenotypes and binary traits. Incorporation of repeated measures may increase power to detect associations, but also requires specialized analysis methods. Here, we discuss one such method-generalized estimating equations (GEE)-in the contexts of analysis of main effects of rare genetic variants and analysis of gene-environment interactions. We illustrate the potential for increased power using GEE analyses instead of cross-sectional analyses. We also address challenges that arise, such as the need for small-sample corrections when the minor allele frequency of a genetic variant and/or the prevalence of an environmental exposure is low. To illustrate methods for detection of gene-drug interactions on a genome-wide scale, using repeated measures data, we conduct single-study analyses and meta-analyses across studies in three large cohort studies participating in the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium-the Atherosclerosis Risk in Communities study, the Cardiovascular Health Study, and the Rotterdam Study.

}, keywords = {Aged, Aging, Cardiovascular Diseases, Cohort Studies, Computer Simulation, Cross-Sectional Studies, Epidemiologic Research Design, Gene-Environment Interaction, Genetic Variation, Genome, Human, Genome-Wide Association Study, Humans, Longitudinal Studies, Meta-Analysis as Topic, Models, Genetic, Pharmacogenetics, Risk Assessment, United States}, issn = {1097-0258}, doi = {10.1002/sim.6323}, author = {Sitlani, Colleen M and Rice, Kenneth M and Lumley, Thomas and McKnight, Barbara and Cupples, L Adrienne and Avery, Christy L and Noordam, Raymond and Stricker, Bruno H C and Whitsel, Eric A and Psaty, Bruce M} } @article {8564, title = {A hybrid computational strategy to address WGS variant analysis in >5000 samples.}, journal = {BMC Bioinformatics}, volume = {17}, year = {2016}, month = {2016 Sep 10}, pages = {361}, abstract = {

BACKGROUND: The decreasing costs of sequencing are driving the need for cost effective and real time variant calling of whole genome sequencing data. The scale of these projects are far beyond the capacity of typical computing resources available with most research labs. Other infrastructures like the cloud AWS environment and supercomputers also have limitations due to which large scale joint variant calling becomes infeasible, and infrastructure specific variant calling strategies either fail to scale up to large datasets or abandon joint calling strategies.

RESULTS: We present a high throughput framework including multiple variant callers for single nucleotide variant (SNV) calling, which leverages hybrid computing infrastructure consisting of cloud AWS, supercomputers and local high performance computing infrastructures. We present a novel binning approach for large scale joint variant calling and imputation which can scale up to over 10,000 samples while producing SNV callsets with high sensitivity and specificity. As a proof of principle, we present results of analysis on Cohorts for Heart And Aging Research in Genomic Epidemiology (CHARGE) WGS freeze 3 dataset in which joint calling, imputation and phasing of over 5300 whole genome samples was produced in under 6 weeks using four state-of-the-art callers. The callers used were SNPTools, GATK-HaplotypeCaller, GATK-UnifiedGenotyper and GotCloud. We used Amazon AWS, a 4000-core in-house cluster at Baylor College of Medicine, IBM power PC Blue BioU at Rice and Rhea at Oak Ridge National Laboratory (ORNL) for the computation. AWS was used for joint calling of 180~TB of BAM files, and ORNL and Rice supercomputers were used for the imputation and phasing step. All other steps were carried out on the local compute cluster. The entire operation used 5.2 million core hours and only transferred a total of 6~TB of data across the platforms.

CONCLUSIONS: Even with increasing sizes of whole genome datasets, ensemble joint calling of SNVs for low coverage data can be accomplished in a scalable, cost effective and fast manner by using heterogeneous computing platforms without compromising on the quality of variants.

}, keywords = {Databases, Genetic, Genome, Human, Genomics, High-Throughput Nucleotide Sequencing, Humans}, issn = {1471-2105}, doi = {10.1186/s12859-016-1211-6}, author = {Huang, Zhuoyi and Rustagi, Navin and Veeraraghavan, Narayanan and Carroll, Andrew and Gibbs, Richard and Boerwinkle, Eric and Venkata, Manjunath Gorentla and Yu, Fuli} } @article {7487, title = {Low-Frequency Synonymous Coding Variation in CYP2R1 Has Large Effects on Vitamin D Levels and Risk of Multiple Sclerosis.}, journal = {Am J Hum Genet}, volume = {101}, year = {2017}, month = {2017 Aug 03}, pages = {227-238}, abstract = {

Vitamin D insufficiency is common, correctable, and influenced by genetic factors, and it has been associated with risk of several diseases. We sought to identify low-frequency genetic variants that strongly increase the risk of vitamin D insufficiency and tested their effect on risk of multiple sclerosis, a disease influenced by low vitamin D concentrations. We used whole-genome sequencing data from 2,619 individuals through the UK10K program and deep-imputation data from 39,655 individuals genotyped genome-wide. Meta-analysis of the summary statistics from 19 cohorts identified in CYP2R1 the low-frequency (minor allele frequency = 2.5\%) synonymous coding variant g.14900931G>A (p.Asp120Asp) (rs117913124[A]), which conferred a large effect on 25-hydroxyvitamin D (25OHD) levels (-0.43 SD of standardized natural log-transformed 25OHD per A allele; p value = 1.5~{\texttimes} 10(-88)). The effect on 25OHD was four times larger and independent of the effect of a previously described common variant near CYP2R1. By analyzing 8,711 individuals, we showed that heterozygote carriers of this low-frequency variant have an increased risk of vitamin D insufficiency (odds ratio [OR] = 2.2, 95\% confidence interval [CI] = 1.78-2.78, p = 1.26~{\texttimes} 10(-12)). Individuals carrying one copy of this variant also had increased odds of multiple sclerosis (OR = 1.4, 95\% CI = 1.19-1.64, p = 2.63~{\texttimes} 10(-5)) in a sample of 5,927 case and 5,599 control subjects. In~conclusion, we describe a low-frequency CYP2R1 coding variant that exerts the largest effect upon 25OHD levels identified to date in the general European population and implicates vitamin D in the etiology of multiple sclerosis.

}, keywords = {Cholestanetriol 26-Monooxygenase, Cytochrome P450 Family 2, Gene Frequency, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Multiple Sclerosis, Polymorphism, Single Nucleotide, Risk Factors, Vitamin D, Vitamin D Deficiency}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2017.06.014}, author = {Manousaki, Despoina and Dudding, Tom and Haworth, Simon and Hsu, Yi-Hsiang and Liu, Ching-Ti and Medina-G{\'o}mez, Carolina and Voortman, Trudy and van der Velde, Nathalie and Melhus, H{\r a}kan and Robinson-Cohen, Cassianne and Cousminer, Diana L and Nethander, Maria and Vandenput, Liesbeth and Noordam, Raymond and Forgetta, Vincenzo and Greenwood, Celia M T and Biggs, Mary L and Psaty, Bruce M and Rotter, Jerome I and Zemel, Babette S and Mitchell, Jonathan A and Taylor, Bruce and Lorentzon, Mattias and Karlsson, Magnus and Jaddoe, Vincent V W and Tiemeier, Henning and Campos-Obando, Natalia and Franco, Oscar H and Utterlinden, Andre G and Broer, Linda and van Schoor, Natasja M and Ham, Annelies C and Ikram, M Arfan and Karasik, David and de Mutsert, Ren{\'e}e and Rosendaal, Frits R and den Heijer, Martin and Wang, Thomas J and Lind, Lars and Orwoll, Eric S and Mook-Kanamori, Dennis O and Micha{\"e}lsson, Karl and Kestenbaum, Bryan and Ohlsson, Claes and Mellstr{\"o}m, Dan and de Groot, Lisette C P G M and Grant, Struan F A and Kiel, Douglas P and Zillikens, M Carola and Rivadeneira, Fernando and Sawcer, Stephen and Timpson, Nicholas J and Richards, J Brent} } @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 {8100, title = {Systematic analysis of dark and camouflaged genes reveals disease-relevant genes hiding in plain sight.}, journal = {Genome Biol}, volume = {20}, year = {2019}, month = {2019 05 20}, pages = {97}, abstract = {

BACKGROUND: The human genome contains "dark" gene regions that cannot be adequately assembled or aligned using standard short-read sequencing technologies, preventing researchers from identifying mutations within these gene regions that may be relevant to human disease. Here, we identify regions with few mappable reads that we call dark by depth, and others that have ambiguous alignment, called camouflaged. We assess how well long-read or linked-read technologies resolve these regions.

RESULTS: Based on standard whole-genome Illumina sequencing data, we identify 36,794 dark regions in 6054 gene bodies from pathways important to human health, development, and reproduction. Of these gene bodies, 8.7\% are completely dark and 35.2\% are >= 5\% dark. We identify dark regions that are present in protein-coding exons across 748 genes. Linked-read or long-read sequencing technologies from 10x Genomics, PacBio, and Oxford Nanopore Technologies reduce dark protein-coding regions to approximately 50.5\%, 35.6\%, and 9.6\%, respectively. We present an algorithm to resolve most camouflaged regions and apply it to the Alzheimer{\textquoteright}s Disease Sequencing Project. We rescue a rare ten-nucleotide frameshift deletion in CR1, a top Alzheimer{\textquoteright}s disease gene, found in disease cases but not in controls.

CONCLUSIONS: While we could not formally assess the association of the CR1 frameshift mutation with Alzheimer{\textquoteright}s disease due to insufficient sample-size, we believe it merits investigating in a larger cohort. There remain thousands of potentially important genomic regions overlooked by short-read sequencing that are largely resolved by long-read technologies.

}, keywords = {Genetic Predisposition to Disease, Genome, Human, Humans, Mutation}, issn = {1474-760X}, doi = {10.1186/s13059-019-1707-2}, author = {Ebbert, Mark T W and Jensen, Tanner D and Jansen-West, Karen and Sens, Jonathon P and Reddy, Joseph S and Ridge, Perry G and Kauwe, John S K and Belzil, Veronique and Pregent, Luc and Carrasquillo, Minerva M and Keene, Dirk and Larson, Eric and Crane, Paul and Asmann, Yan W and Ertekin-Taner, Nilufer and Younkin, Steven G and Ross, Owen A and Rademakers, Rosa and Petrucelli, Leonard and Fryer, John D} } @article {8778, title = {Identification of putative causal loci in whole-genome sequencing data via knockoff statistics.}, journal = {Nat Commun}, volume = {12}, year = {2021}, month = {2021 05 25}, pages = {3152}, abstract = {

The analysis of whole-genome sequencing studies is challenging due to the large number of rare variants in noncoding regions and the lack of natural units for testing. We propose a statistical method to detect and localize rare and common risk variants in whole-genome sequencing studies based on a recently developed knockoff framework. It can (1) prioritize causal variants over associations due to linkage disequilibrium thereby improving interpretability; (2) help distinguish the signal due to rare variants from shadow effects of significant common variants nearby; (3) integrate multiple knockoffs for improved power, stability, and reproducibility; and (4) flexibly incorporate state-of-the-art and future association tests to achieve the benefits proposed here. In applications to whole-genome sequencing data from the Alzheimer{\textquoteright}s Disease Sequencing Project (ADSP) and COPDGene samples from NHLBI Trans-Omics for Precision Medicine (TOPMed) Program we show that our method compared with conventional association tests can lead to substantially more discoveries.

}, keywords = {Algorithms, Causality, Computer Simulation, Data Interpretation, Statistical, Datasets as Topic, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Markov Chains, Models, Genetic, Polymorphism, Single Nucleotide, Reproducibility of Results, Whole Genome Sequencing}, issn = {2041-1723}, doi = {10.1038/s41467-021-22889-4}, author = {He, Zihuai and Liu, Linxi and Wang, Chen and Le Guen, Yann and Lee, Justin and Gogarten, Stephanie and Lu, Fred and Montgomery, Stephen and Tang, Hua and Silverman, Edwin K and Cho, Michael H and Greicius, Michael and Ionita-Laza, Iuliana} } @article {8914, title = {Whole-genome sequencing in diverse subjects identifies genetic correlates of leukocyte traits: The NHLBI TOPMed program.}, journal = {Am J Hum Genet}, volume = {108}, year = {2021}, month = {2021 10 07}, pages = {1836-1851}, abstract = {

Many common and rare variants associated with hematologic traits have been discovered through imputation on large-scale reference panels. However, the majority of genome-wide association studies (GWASs) have been conducted in Europeans, and determining causal variants has proved challenging. We performed a GWAS of total leukocyte, neutrophil, lymphocyte, monocyte, eosinophil, and basophil counts generated from 109,563,748 variants in the autosomes and the X chromosome in the Trans-Omics for Precision Medicine (TOPMed) program, which included data from 61,802 individuals of diverse ancestry. We discovered and replicated 7 leukocyte trait associations, including (1) the association between a chromosome X, pseudo-autosomal region (PAR), noncoding variant located between cytokine receptor genes (CSF2RA and CLRF2) and lower eosinophil count; and (2) associations between single variants found predominantly among African Americans at the S1PR3 (9q22.1) and HBB (11p15.4) loci and monocyte and lymphocyte counts, respectively. We further provide evidence indicating that the newly discovered eosinophil-lowering chromosome X PAR variant might be associated with reduced susceptibility to common allergic diseases such as atopic dermatitis and asthma. Additionally, we found a burden of very rare FLT3 (13q12.2) variants associated with monocyte counts. Together, these results emphasize the utility of whole-genome sequencing in diverse samples in identifying associations missed by European-ancestry-driven GWASs.

}, keywords = {Asthma, Biomarkers, Dermatitis, Atopic, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Leukocytes, National Heart, Lung, and Blood Institute (U.S.), Phenotype, Polymorphism, Single Nucleotide, Prognosis, Proteome, Pulmonary Disease, Chronic Obstructive, Quantitative Trait Loci, United Kingdom, United States, Whole Genome Sequencing}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2021.08.007}, author = {Mikhaylova, Anna V and McHugh, Caitlin P and Polfus, Linda M and Raffield, Laura M and Boorgula, Meher Preethi and Blackwell, Thomas W and Brody, Jennifer A and Broome, Jai and Chami, Nathalie and Chen, Ming-Huei and Conomos, Matthew P and Cox, Corey and Curran, Joanne E and Daya, Michelle and Ekunwe, Lynette and Glahn, David C and Heard-Costa, Nancy and Highland, Heather M and Hobbs, Brian D and Ilboudo, Yann and Jain, Deepti and Lange, Leslie A and Miller-Fleming, Tyne W and Min, Nancy and Moon, Jee-Young and Preuss, Michael H and Rosen, Jonathon and Ryan, Kathleen and Smith, Albert V and Sun, Quan and Surendran, Praveen and de Vries, Paul S and Walter, Klaudia and Wang, Zhe and Wheeler, Marsha and Yanek, Lisa R and Zhong, Xue and Abecasis, Goncalo R and Almasy, Laura and Barnes, Kathleen C and Beaty, Terri H and Becker, Lewis C and Blangero, John and Boerwinkle, Eric and Butterworth, Adam S and Chavan, Sameer and Cho, Michael H and Choquet, Helene and Correa, Adolfo and Cox, Nancy and DeMeo, Dawn L and Faraday, Nauder and Fornage, Myriam and Gerszten, Robert E and Hou, Lifang and Johnson, Andrew D and Jorgenson, Eric and Kaplan, Robert and Kooperberg, Charles and Kundu, Kousik and Laurie, Cecelia A and Lettre, Guillaume and Lewis, Joshua P and Li, Bingshan and Li, Yun and Lloyd-Jones, Donald M and Loos, Ruth J F and Manichaikul, Ani and Meyers, Deborah A and Mitchell, Braxton D and Morrison, Alanna C and Ngo, Debby and Nickerson, Deborah A and Nongmaithem, Suraj and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Ortega, Victor E and Pankratz, Nathan and Perry, James A and Psaty, Bruce M and Rich, Stephen S and Soranzo, Nicole and Rotter, Jerome I and Silverman, Edwin K and Smith, Nicholas L and Tang, Hua and Tracy, Russell P and Thornton, Timothy A and Vasan, Ramachandran S and Zein, Joe and Mathias, Rasika A and Reiner, Alexander P and Auer, Paul L} } @article {9538, title = {Mosaic chromosomal alterations in blood across ancestries using whole-genome sequencing.}, journal = {Nat Genet}, volume = {55}, year = {2023}, month = {2023 Nov}, pages = {1912-1919}, abstract = {

Megabase-scale mosaic chromosomal alterations (mCAs) in blood are prognostic markers for a host of human diseases. Here, to gain a better understanding of mCA rates in genetically diverse populations, we analyzed whole-genome sequencing data from 67,390 individuals from the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine program. We observed higher sensitivity with whole-genome sequencing data, compared with array-based data, in uncovering mCAs at low mutant cell fractions and found that individuals of European ancestry have the highest rates of autosomal mCAs and the lowest rates of chromosome X mCAs, compared with individuals of African or Hispanic ancestry. Although further studies in diverse populations will be needed to replicate our findings, we report three loci associated with loss of chromosome X, associations between autosomal mCAs and rare variants in DCPS, ADM17, PPP1R16B and TET2 and ancestry-specific variants in ATM and MPL with mCAs in cis.

}, keywords = {Black People, Genome, Human, Genome-Wide Association Study, Hispanic or Latino, Humans, Mosaicism, Precision Medicine}, issn = {1546-1718}, doi = {10.1038/s41588-023-01553-1}, author = {Jakubek, Yasminka A and Zhou, Ying and Stilp, Adrienne and Bacon, Jason and Wong, Justin W and Ozcan, Zuhal and Arnett, Donna and Barnes, Kathleen and Bis, Joshua C and Boerwinkle, Eric and Brody, Jennifer A and Carson, April P and Chasman, Daniel I and Chen, Jiawen and Cho, Michael and Conomos, Matthew P and Cox, Nancy and Doyle, Margaret F and Fornage, Myriam and Guo, Xiuqing and Kardia, Sharon L R and Lewis, Joshua P and Loos, Ruth J F and Ma, Xiaolong and Machiela, Mitchell J and Mack, Taralynn M and Mathias, Rasika A and Mitchell, Braxton D and Mychaleckyj, Josyf C and North, Kari and Pankratz, Nathan and Peyser, Patricia A and Preuss, Michael H and Psaty, Bruce and Raffield, Laura M and Vasan, Ramachandran S and Redline, Susan and Rich, Stephen S and Rotter, Jerome I and Silverman, Edwin K and Smith, Jennifer A and Smith, Aaron P and Taub, Margaret and Taylor, Kent D and Yun, Jeong and Li, Yun and Desai, Pinkal and Bick, Alexander G and Reiner, Alexander P and Scheet, Paul and Auer, Paul L} }