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Gene-centric meta-analysis in 87,736 individuals of European ancestry identifies multiple blood-pressure-related loci

Tragante, Vinicius; Barnes, Michael R; Ganesh, Santhi K; Lanktree, Matthew B; Guo, Wei; Franceschini, Nora; Smith, Erin N; Johnson, Toby; Holmes, Michael V; Padmanabhan, Sandosh; Karczewski, Konrad J; Almoguera, Berta; Barnard, John; Baumert, Jens; Chang, Yen-Pei Christy; Elbers, Clara C; Farrall, Martin; Fischer, Mary E; Gaunt, Tom R; Gho, Johannes M I H; Gieger, Christian; Goel, Anuj; Gong, Yan; Isaacs, Aaron; Kleber, Marcus E; Mateo Leach, Irene; McDonough, Caitrin W; Meijs, Matthijs F L; Melander, Olle; Nelson, Christopher P; Nolte, Ilja M; Pankratz, Nathan; Price, Tom S; Shaffer, Jonathan; Shah, Sonia; Tomaszewski, Maciej; van der Most, Peter J; Van Iperen, Erik P A; Vonk, Judith M; Witkowska, Kate; Wong, Caroline O L; Zhang, Li; Beitelshees, Amber L; Berenson, Gerald S; Bhatt, Deepak L; Brown, Morris; Burt, Amber; Cooper-DeHoff, Rhonda M; Connell, John M; Cruickshanks, Karen J; Curtis, Sean P; Davey-Smith, George; Delles, Christian; Gansevoort, Ron T; Guo, Xiuqing; Haiqing, Shen; Hastie, Claire E; Hofker, Marten H; Hovingh, G Kees; Kim, Daniel S; Kirkland, Susan A; Klein, Barbara E; Klein, Ronald; Li, Yun R; Maiwald, Steffi; Newton-Cheh, Christopher; O'Brien, Eoin T; Onland-Moret, N Charlotte; Palmas, Walter; Parsa, Afshin; Penninx, Brenda W; Pettinger, Mary; Vasan, Ramachandran S; Ranchalis, Jane E; M Ridker, Paul; Rose, Lynda M; Sever, Peter; Shimbo, Daichi; Steele, Laura; Stolk, Ronald P; Thorand, Barbara; Trip, Mieke D; van Duijn, Cornelia M; Verschuren, W Monique; Wijmenga, Cisca; Wyatt, Sharon; Young, J Hunter; Zwinderman, Aeilko H; Bezzina, Connie R; Boerwinkle, Eric; Casas, Juan P; Caulfield, Mark J; Chakravarti, Aravinda; Chasman, Daniel I; Davidson, Karina W; Doevendans, Pieter A; Dominiczak, Anna F; FitzGerald, Garret A; Gums, John G; Fornage, Myriam; Hakonarson, Hakon; Halder, Indrani; Hillege, Hans L; Illig, Thomas; Jarvik, Gail P; Johnson, Julie A; Kastelein, John J P; Koenig, Wolfgang; Kumari, Meena; Marz, Winfried; Murray, Sarah S; O'Connell, Jeffery R; Oldehinkel, Albertine J; Pankow, James S; Rader, Daniel J; Redline, Susan; Reilly, Muredach P; Schadt, Eric E; Kottke-Marchant, Kandice; Snieder, Harold; Snyder, Michael; Stanton, Alice V; Tobin, Martin D; Uitterlinden, Andre G; van der Harst, Pim; van der Schouw, Yvonne T; Samani, Nilesh J; Watkins, Hugh; Johnson, Andrew D; Reiner, Alex P; Zhu, Xiaofeng; de Bakker, Paul I W; Levy, Daniel; Asselbergs, Folkert W; Munroe, Patricia B; Keating, Brendan J
Blood pressure (BP) is a heritable risk factor for cardiovascular disease. To investigate genetic associations with systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP), we genotyped ~50,000 SNPs in up to 87,736 individuals of European ancestry and combined these in a meta-analysis. We replicated findings in an independent set of 68,368 individuals of European ancestry. Our analyses identified 11 previously undescribed associations in independent loci containing 31 genes including PDE1A, HLA-DQB1, CDK6, PRKAG2, VCL, H19, NUCB2, RELA, HOXC@ complex, FBN1, and NFAT5 at the Bonferroni-corrected array-wide significance threshold (p < 6 x 10(-7)) and confirmed 27 previously reported associations. Bioinformatic analysis of the 11 loci provided support for a putative role in hypertension of several genes, such as CDK6 and NUCB2. Analysis of potential pharmacological targets in databases of small molecules showed that ten of the genes are predicted to be a target for small molecules. In summary, we identified previously unknown loci associated with BP. Our findings extend our understanding of genes involved in BP regulation, which may provide new targets for therapeutic intervention or drug response stratification.
PMCID:3951943
PMID: 24560520
ISSN: 1537-6605
CID: 2746942

The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future

Gottesman, Omri; Kuivaniemi, Helena; Tromp, Gerard; Faucett, W Andrew; Li, Rongling; Manolio, Teri A; Sanderson, Saskia C; Kannry, Joseph; Zinberg, Randi; Basford, Melissa A; Brilliant, Murray; Carey, David J; Chisholm, Rex L; Chute, Christopher G; Connolly, John J; Crosslin, David; Denny, Joshua C; Gallego, Carlos J; Haines, Jonathan L; Hakonarson, Hakon; Harley, John; Jarvik, Gail P; Kohane, Isaac; Kullo, Iftikhar J; Larson, Eric B; McCarty, Catherine; Ritchie, Marylyn D; Roden, Dan M; Smith, Maureen E; Böttinger, Erwin P; Williams, Marc S; Harley, John; Kohane, Isaac; Holm, Ingrid; Hutton, John; Cobb, Beth L; Perry, Cassandra; Namjou, Bahram; Bickel, Julie; Prows, Cindy; Solti, Imre; Savova, Guergana; Chen, Pei; Lindgren, Todd; Marsolo, Keith; Bickel, John; Wagner, Michael; Vinks, Alexander; Wolf, Wendy; Hakonarson, Hakon; Keating, Brendan; Sleiman, Patrick; Connolly, John; Chiavacci, Rosetta; Mentch, Frank; Qiu, Haijun; Behr, Meckenzie; Carey, David J; Williams, Marc S; Tromp, Gerard; Kuivaniemi, Helena; Faucett, W Andrew; Ledbetter, David H; Gerhard, Glenn S; Smelser, Diane T; Borthwick, Kenneth; Colonie, Ryan; Bock, Jonathan; Fetterolf, Samantha; Wood, G Craig; Williams, Janet L; Rogers, Laura; Packard-Smith, Bethanny; Chu, Xin; Ryer, Evan J; Elmore, James R; Still, Christopher D; Vrabec, Tamara R; Shellenberger, M Joshua; Steinhubl, Steven R; Sundaresan, Agnes; Elston, Robert C; Shuldiner, Alan R; Mitchell, Braxton D; Larson, Eric B; Jarvik, Gail; Ralson, James; Hartzler, Andrea; Carrell, David S; Crane, Paul; Crosslin, David; Kim, Daniel S; Gallego, Carlos J; Mukherjee, Shubhabrata; Fullerton, Stephanie Malia; Brown, Susan; Leppig, Kathleen A; Carlson, Christopher S; McCarty, Catherine A; Brilliant, Murray; Lin, Simon; Brautbar, Ariel S; Patchett, Richard; Peissig, Peggy; Berg, Richard; Strenn, Rob; Linneman, James; Rottscheit, Carla; Kitchner, Terrie; Ritchie, Marylyn; Verma, Shefali Setia; Armstrong, Gretta D; Kullo, Iftikhar J; Chute, Christopher G; Koenig, Barbara A; de Andrade, Mariza; Bielinski, Suzette; Pathak, Jyotishman; Heit, John A; Bottinger, Erwin; Gottesman, Omri; Scott, Stuart; Hulot, Jean-Sebastien; Kannry, Joseph; Ellis, Steve; Keppel, Yolanda; Purcell, Shaun; Zhang, Weijia; Peter, Inga; Nadukuru, Rajiv; Lotay, Vaneet; Parides, Michael; Horowitz, Carol; Rhodes, Rosamond; Sanderson, Saskia; Zinberg, Randi; Lin, Jennifer; Ullman, Thomas; Dieterich, Douglas; Friedman, Scott; Brown, Tanisha; Mejia, Ana; Cooper, Richard; Kathiresan, Sekar; Hripsak, George; Friedman, Carol; Weng, Chunhua; Overby, Casey Lynette; Chisholm, Rex L; Smith, Maureen E; Kho, Abel; Hayes, M Geoffrey; Rasmussen-Torvik, Laura; Starren, Justin; Christensen, Carl; Persell, Stephen; Aufox, Sharon; Pacheco, Jennifer; Rasmussen, Luke; Thompson, William L; Pan, Vivian; Wicklund, Catherine; Roden, Dan M; Clayton, Ellen; Crawford, Dana; Denny, Joshua C; Malin, Bradley A; Peterson, Josh F; Schildcrout, Jonathan S; Wilke, Russ; Bastarache, Lisa; Danciu, Ioana; Delaney, Jessica; Dumitrescu, Logan; Goodloe, Robert; Heatherly, Raymond; Hinz, Eugenia McPeek; Jeff, Janina; Karnes, Jason; Malinowski, Jennifer; McCall, A Scott; Mosley, Jonathan; Saip, Alexander; Stallings, Sarah; Van Driest, Sara; Wang, Xiaoming; Westbrook, Matthew; Haines, Jonathan L; Denny, Joshua C; Malin, Bradley A; Ritchie, Marylyn D; Basford, Melissa; Armstrong, Gretta; Bradford, Yuki; Cowan, James; Kirby, Jacqueline; Melancon, Lauren; Mapes, Brandy; Speltz, Peter; Verma, Anurag; Verma, Shefali; Xia, Weiyi
The Electronic Medical Records and Genomics Network is a National Human Genome Research Institute-funded consortium engaged in the development of methods and best practices for using the electronic medical record as a tool for genomic research. Now in its sixth year and second funding cycle, and comprising nine research groups and a coordinating center, the network has played a major role in validating the concept that clinical data derived from electronic medical records can be used successfully for genomic research. Current work is advancing knowledge in multiple disciplines at the intersection of genomics and health-care informatics, particularly for electronic phenotyping, genome-wide association studies, genomic medicine implementation, and the ethical and regulatory issues associated with genomics research and returning results to study participants. Here, we describe the evolution, accomplishments, opportunities, and challenges of the network from its inception as a five-group consortium focused on genotype-phenotype associations for genomic discovery to its current form as a nine-group consortium pivoting toward the implementation of genomic medicine.
PMCID:3795928
PMID: 23743551
ISSN: 1530-0366
CID: 5479322

Gene-centric meta-analyses of 108 912 individuals confirm known body mass index loci and reveal three novel signals

Guo, Yiran; Lanktree, Matthew B; Taylor, Kira C; Hakonarson, Hakon; Lange, Leslie A; Keating, Brendan J
Recent genetic association studies have made progress in uncovering components of the genetic architecture of the body mass index (BMI). We used the ITMAT-Broad-Candidate Gene Association Resource (CARe) (IBC) array comprising up to 49 320 single nucleotide polymorphisms (SNPs) across ~2100 metabolic and cardiovascular-related loci to genotype up to 108 912 individuals of European ancestry (EA), African-Americans, Hispanics and East Asians, from 46 studies, to provide additional insight into SNPs underpinning BMI. We used a five-phase study design: Phase I focused on meta-analysis of EA studies providing individual level genotype data; Phase II performed a replication of cohorts providing summary level EA data; Phase III meta-analyzed results from the first two phases; associated SNPs from Phase III were used for replication in Phase IV; finally in Phase V, a multi-ethnic meta-analysis of all samples from four ethnicities was performed. At an array-wide significance (P < 2.40E-06), we identify novel BMI associations in loci translocase of outer mitochondrial membrane 40 homolog (yeast) - apolipoprotein E - apolipoprotein C-I (TOMM40-APOE-APOC1) (rs2075650, P = 2.95E-10), sterol regulatory element binding transcription factor 2 (SREBF2, rs5996074, P = 9.43E-07) and neurotrophic tyrosine kinase, receptor, type 2 [NTRK2, a brain-derived neurotrophic factor (BDNF) receptor gene, rs1211166, P = 1.04E-06] in the Phase IV meta-analysis. Of 10 loci with previous evidence for BMI association represented on the IBC array, eight were replicated, with the remaining two showing nominal significance. Conditional analyses revealed two independent BMI-associated signals in BDNF and melanocortin 4 receptor (MC4R) regions. Of the 11 array-wide significant SNPs, three are associated with gene expression levels in both primary B-cells and monocytes; with rs4788099 in SH2B adaptor protein 1 (SH2B1) notably being associated with the expression of multiple genes in cis. These multi-ethnic meta-analyses expand our knowledge of BMI genetics.
PMCID:3522401
PMID: 23001569
ISSN: 1460-2083
CID: 5477912

First all-in-one diagnostic tool for DNA intelligence: genome-wide inference of biogeographic ancestry, appearance, relatedness, and sex with the Identitas v1 Forensic Chip

Keating, Brendan; Bansal, Aruna T; Walsh, Susan; Millman, Jonathan; Newman, Jonathan; Kidd, Kenneth; Budowle, Bruce; Eisenberg, Arthur; Donfack, Joseph; Gasparini, Paolo; Budimlija, Zoran; Henders, Anjali K; Chandrupatla, Hareesh; Duffy, David L; Gordon, Scott D; Hysi, Pirro; Liu, Fan; Medland, Sarah E; Rubin, Laurence; Martin, Nicholas G; Spector, Timothy D; Kayser, Manfred
When a forensic DNA sample cannot be associated directly with a previously genotyped reference sample by standard short tandem repeat profiling, the investigation required for identifying perpetrators, victims, or missing persons can be both costly and time consuming. Here, we describe the outcome of a collaborative study using the Identitas Version 1 (v1) Forensic Chip, the first commercially available all-in-one tool dedicated to the concept of developing intelligence leads based on DNA. The chip allows parallel interrogation of 201,173 genome-wide autosomal, X-chromosomal, Y-chromosomal, and mitochondrial single nucleotide polymorphisms for inference of biogeographic ancestry, appearance, relatedness, and sex. The first assessment of the chip's performance was carried out on 3,196 blinded DNA samples of varying quantities and qualities, covering a wide range of biogeographic origin and eye/hair coloration as well as variation in relatedness and sex. Overall, 95 % of the samples (N = 3,034) passed quality checks with an overall genotype call rate >90 % on variable numbers of available recorded trait information. Predictions of sex, direct match, and first to third degree relatedness were highly accurate. Chip-based predictions of biparental continental ancestry were on average ~94 % correct (further support provided by separately inferred patrilineal and matrilineal ancestry). Predictions of eye color were 85 % correct for brown and 70 % correct for blue eyes, and predictions of hair color were 72 % for brown, 63 % for blond, 58 % for black, and 48 % for red hair. From the 5 % of samples (N = 162) with <90 % call rate, 56 % yielded correct continental ancestry predictions while 7 % yielded sufficient genotypes to allow hair and eye color prediction. Our results demonstrate that the Identitas v1 Forensic Chip holds great promise for a wide range of applications including criminal investigations, missing person investigations, and for national security purposes.
PMCID:3631519
PMID: 23149900
ISSN: 1437-1596
CID: 5477952

Copy number variations in alternative splicing gene networks impact lifespan

Glessner, Joseph T; Smith, Albert Vernon; Panossian, Saarene; Kim, Cecilia E; Takahashi, Nagahide; Thomas, Kelly A; Wang, Fengxiang; Seidler, Kallyn; Harris, Tamara B; Launer, Lenore J; Keating, Brendan; Connolly, John; Sleiman, Patrick M A; Buxbaum, Joseph D; Grant, Struan F A; Gudnason, Vilmundur; Hakonarson, Hakon
Longevity has a strong genetic component evidenced by family-based studies. Lipoprotein metabolism, FOXO proteins, and insulin/IGF-1 signaling pathways in model systems have shown polygenic variations predisposing to shorter lifespan. To test the hypothesis that rare variants could influence lifespan, we compared the rates of CNVs in healthy children (0-18 years of age) with individuals 67 years or older. CNVs at a significantly higher frequency in the pediatric cohort were considered risk variants impacting lifespan, while those enriched in the geriatric cohort were considered longevity protective variants. We performed a whole-genome CNV analysis on 7,313 children and 2,701 adults of European ancestry genotyped with 302,108 SNP probes. Positive findings were evaluated in an independent cohort of 2,079 pediatric and 4,692 geriatric subjects. We detected 8 deletions and 10 duplications that were enriched in the pediatric group (P=3.33×10(-8)-1.6×10(-2) unadjusted), while only one duplication was enriched in the geriatric cohort (P=6.3×10(-4)). Population stratification correction resulted in 5 deletions and 3 duplications remaining significant (P=5.16×10(-5)-4.26×10(-2)) in the replication cohort. Three deletions and four duplications were significant combined (combined P=3.7×10(-4)-3.9×10(-2)). All associated loci were experimentally validated using qPCR. Evaluation of these genes for pathway enrichment demonstrated ~50% are involved in alternative splicing (P=0.0077 Benjamini and Hochberg corrected). We conclude that genetic variations disrupting RNA splicing could have long-term biological effects impacting lifespan.
PMCID:3559729
PMID: 23382853
ISSN: 1932-6203
CID: 5477972

Genome-wide association analysis of red blood cell traits in African Americans: the COGENT Network

Chen, Zhao; Tang, Hua; Qayyum, Rehan; Schick, Ursula M; Nalls, Michael A; Handsaker, Robert; Li, Jin; Lu, Yingchang; Yanek, Lisa R; Keating, Brendan; Meng, Yan; van Rooij, Frank J A; Okada, Yukinori; Kubo, Michiaki; Rasmussen-Torvik, Laura; Keller, Margaux F; Lange, Leslie; Evans, Michele; Bottinger, Erwin P; Linderman, Michael D; Ruderfer, Douglas M; Hakonarson, Hakon; Papanicolaou, George; Zonderman, Alan B; Gottesman, Omri; Thomson, Cynthia; Ziv, Elad; Singleton, Andrew B; Loos, Ruth J F; Sleiman, Patrick M A; Ganesh, Santhi; McCarroll, Steven; Becker, Diane M; Wilson, James G; Lettre, Guillaume; Reiner, Alexander P
Laboratory red blood cell (RBC) measurements are clinically important, heritable and differ among ethnic groups. To identify genetic variants that contribute to RBC phenotypes in African Americans (AAs), we conducted a genome-wide association study in up to ~16 500 AAs. The alpha-globin locus on chromosome 16pter [lead SNP rs13335629 in ITFG3 gene; P < 1E-13 for hemoglobin (Hgb), RBC count, mean corpuscular volume (MCV), MCH and MCHC] and the G6PD locus on Xq28 [lead SNP rs1050828; P < 1E - 13 for Hgb, hematocrit (Hct), MCV, RBC count and red cell distribution width (RDW)] were each associated with multiple RBC traits. At the alpha-globin region, both the common African 3.7 kb deletion and common single nucleotide polymorphisms (SNPs) appear to contribute independently to RBC phenotypes among AAs. In the 2p21 region, we identified a novel variant of PRKCE distinctly associated with Hct in AAs. In a genome-wide admixture mapping scan, local European ancestry at the 6p22 region containing HFE and LRRC16A was associated with higher Hgb. LRRC16A has been previously associated with the platelet count and mean platelet volume in AAs, but not with Hgb. Finally, we extended to AAs the findings of association of erythrocyte traits with several loci previously reported in Europeans and/or Asians, including CD164 and HBS1L-MYB. In summary, this large-scale genome-wide analysis in AAs has extended the importance of several RBC-associated genetic loci to AAs and identified allelic heterogeneity and pleiotropy at several previously known genetic loci associated with blood cell traits in AAs.
PMCID:3658166
PMID: 23446634
ISSN: 1460-2083
CID: 5477982

A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry

Monda, Keri L; Chen, Gary K; Taylor, Kira C; Palmer, Cameron; Edwards, Todd L; Lange, Leslie A; Ng, Maggie C Y; Adeyemo, Adebowale A; Allison, Matthew A; Bielak, Lawrence F; Chen, Guanjie; Graff, Mariaelisa; Irvin, Marguerite R; Rhie, Suhn K; Li, Guo; Liu, Yongmei; Liu, Youfang; Lu, Yingchang; Nalls, Michael A; Sun, Yan V; Wojczynski, Mary K; Yanek, Lisa R; Aldrich, Melinda C; Ademola, Adeyinka; Amos, Christopher I; Bandera, Elisa V; Bock, Cathryn H; Britton, Angela; Broeckel, Ulrich; Cai, Quiyin; Caporaso, Neil E; Carlson, Chris S; Carpten, John; Casey, Graham; Chen, Wei-Min; Chen, Fang; Chen, Yii-Der I; Chiang, Charleston W K; Coetzee, Gerhard A; Demerath, Ellen; Deming-Halverson, Sandra L; Driver, Ryan W; Dubbert, Patricia; Feitosa, Mary F; Feng, Ye; Freedman, Barry I; Gillanders, Elizabeth M; Gottesman, Omri; Guo, Xiuqing; Haritunians, Talin; Harris, Tamara; Harris, Curtis C; Hennis, Anselm J M; Hernandez, Dena G; McNeill, Lorna H; Howard, Timothy D; Howard, Barbara V; Howard, Virginia J; Johnson, Karen C; Kang, Sun J; Keating, Brendan J; Kolb, Suzanne; Kuller, Lewis H; Kutlar, Abdullah; Langefeld, Carl D; Lettre, Guillaume; Lohman, Kurt; Lotay, Vaneet; Lyon, Helen; Manson, Joann E; Maixner, William; Meng, Yan A; Monroe, Kristine R; Morhason-Bello, Imran; Murphy, Adam B; Mychaleckyj, Josyf C; Nadukuru, Rajiv; Nathanson, Katherine L; Nayak, Uma; N'diaye, Amidou; Nemesure, Barbara; Wu, Suh-Yuh; Leske, M Cristina; Neslund-Dudas, Christine; Neuhouser, Marian; Nyante, Sarah; Ochs-Balcom, Heather; Ogunniyi, Adesola; Ogundiran, Temidayo O; Ojengbede, Oladosu; Olopade, Olufunmilayo I; Palmer, Julie R; Ruiz-Narvaez, Edward A; Palmer, Nicholette D; Press, Michael F; Rampersaud, Evandine; Rasmussen-Torvik, Laura J; Rodriguez-Gil, Jorge L; Salako, Babatunde; Schadt, Eric E; Schwartz, Ann G; Shriner, Daniel A; Siscovick, David; Smith, Shad B; Wassertheil-Smoller, Sylvia; Speliotes, Elizabeth K; Spitz, Margaret R; Sucheston, Lara; Taylor, Herman; Tayo, Bamidele O; Tucker, Margaret A; Van Den Berg, David J; Edwards, Digna R Velez; Wang, Zhaoming; Wiencke, John K; Winkler, Thomas W; Witte, John S; Wrensch, Margaret; Wu, Xifeng; Yang, James J; Levin, Albert M; Young, Taylor R; Zakai, Neil A; Cushman, Mary; Zanetti, Krista A; Zhao, Jing Hua; Zhao, Wei; Zheng, Yonglan; Zhou, Jie; Ziegler, Regina G; Zmuda, Joseph M; Fernandes, Jyotika K; Gilkeson, Gary S; Kamen, Diane L; Hunt, Kelly J; Spruill, Ida J; Ambrosone, Christine B; Ambs, Stefan; Arnett, Donna K; Atwood, Larry; Becker, Diane M; Berndt, Sonja I; Bernstein, Leslie; Blot, William J; Borecki, Ingrid B; Bottinger, Erwin P; Bowden, Donald W; Burke, Gregory; Chanock, Stephen J; Cooper, Richard S; Ding, Jingzhong; Duggan, David; Evans, Michele K; Fox, Caroline; Garvey, W Timothy; Bradfield, Jonathan P; Hakonarson, Hakon; Grant, Struan F A; Hsing, Ann; Chu, Lisa; Hu, Jennifer J; Huo, Dezheng; Ingles, Sue A; John, Esther M; Jordan, Joanne M; Kabagambe, Edmond K; Kardia, Sharon L R; Kittles, Rick A; Goodman, Phyllis J; Klein, Eric A; Kolonel, Laurence N; Le Marchand, Loic; Liu, Simin; McKnight, Barbara; Millikan, Robert C; Mosley, Thomas H; Padhukasahasram, Badri; Williams, L Keoki; Patel, Sanjay R; Peters, Ulrike; Pettaway, Curtis A; Peyser, Patricia A; Psaty, Bruce M; Redline, Susan; Rotimi, Charles N; Rybicki, Benjamin A; Sale, Michèle M; Schreiner, Pamela J; Signorello, Lisa B; Singleton, Andrew B; Stanford, Janet L; Strom, Sara S; Thun, Michael J; Vitolins, Mara; Zheng, Wei; Moore, Jason H; Williams, Scott M; Ketkar, Shamika; Zhu, Xiaofeng; Zonderman, Alan B; Kooperberg, Charles; Papanicolaou, George J; Henderson, Brian E; Reiner, Alex P; Hirschhorn, Joel N; Loos, Ruth J F; North, Kari E; Haiman, Christopher A
Genome-wide association studies (GWAS) have identified 36 loci associated with body mass index (BMI), predominantly in populations of European ancestry. We conducted a meta-analysis to examine the association of >3.2 million SNPs with BMI in 39,144 men and women of African ancestry and followed up the most significant associations in an additional 32,268 individuals of African ancestry. We identified one new locus at 5q33 (GALNT10, rs7708584, P = 3.4 × 10(-11)) and another at 7p15 when we included data from the GIANT consortium (MIR148A-NFE2L3, rs10261878, P = 1.2 × 10(-10)). We also found suggestive evidence of an association at a third locus at 6q16 in the African-ancestry sample (KLHL32, rs974417, P = 6.9 × 10(-8)). Thirty-two of the 36 previously established BMI variants showed directionally consistent effect estimates in our GWAS (binomial P = 9.7 × 10(-7)), five of which reached genome-wide significance. These findings provide strong support for shared BMI loci across populations, as well as for the utility of studying ancestrally diverse populations.
PMCID:3694490
PMID: 23583978
ISSN: 1546-1718
CID: 5477992

Genome-wide and gene-centric analyses of circulating myeloperoxidase levels in the charge and care consortia

Reiner, Alexander P; Hartiala, Jaana; Zeller, Tanja; Bis, Joshua C; Dupuis, Josée; Fornage, Myriam; Baumert, Jens; Kleber, Marcus E; Wild, Philipp S; Baldus, Stephan; Bielinski, Suzette J; Fontes, João D; Illig, Thomas; Keating, Brendan J; Lange, Leslie A; Ojeda, Francisco; Müller-Nurasyid, Martina; Munzel, Thomas F; Psaty, Bruce M; Rice, Kenneth; Rotter, Jerome I; Schnabel, Renate B; Tang, W H Wilson; Thorand, Barbara; Erdmann, Jeanette; Jacobs, David R; Wilson, James G; Koenig, Wolfgang; Tracy, Russell P; Blankenberg, Stefan; März, Winfried; Gross, Myron D; Benjamin, Emelia J; Hazen, Stanley L; Allayee, Hooman
Increased systemic levels of myeloperoxidase (MPO) are associated with the risk of coronary artery disease (CAD). To identify the genetic factors that are associated with circulating MPO levels, we carried out a genome-wide association study (GWAS) and a gene-centric analysis in subjects of European ancestry and African Americans (AAs). A locus on chromosome 1q31.1 containing the complement factor H (CFH) gene was strongly associated with serum MPO levels in 9305 subjects of European ancestry (lead SNP rs800292; P = 4.89 × 10(-41)) and in 1690 AA subjects (rs505102; P = 1.05 × 10(-8)). Gene-centric analyses in 8335 subjects of European ancestry additionally identified two rare MPO coding sequence variants that were associated with serum MPO levels (rs28730837, P = 5.21 × 10(-12); rs35897051, P = 3.32 × 10(-8)). A GWAS for plasma MPO levels in 9260 European ancestry subjects identified a chromosome 17q22 region near MPO that was significantly associated (lead SNP rs6503905; P = 2.94 × 10(-12)), but the CFH locus did not exhibit evidence of association with plasma MPO levels. Functional analyses revealed that rs800292 was associated with levels of complement proteins in serum. Variants at chromosome 17q22 also had pleiotropic cis effects on gene expression. In a case-control analysis of ∼80 000 subjects from CARDIoGRAM, none of the identified single-nucleotide polymorphisms (SNPs) were associated with CAD. These results suggest that distinct genetic factors regulate serum and plasma MPO levels, which may have relevance for various acute and chronic inflammatory disorders. The clinical implications for CAD and a better understanding of the functional basis for the association of CFH and MPO variants with circulating MPO levels require further study.
PMCID:3723315
PMID: 23620142
ISSN: 1460-2083
CID: 5478002

Mutations in PDGFRB cause autosomal-dominant infantile myofibromatosis

Martignetti, John A; Tian, Lifeng; Li, Dong; Ramirez, Maria Celeste M; Camacho-Vanegas, Olga; Camacho, Sandra Catalina; Guo, Yiran; Zand, Dina J; Bernstein, Audrey M; Masur, Sandra K; Kim, Cecilia E; Otieno, Frederick G; Hou, Cuiping; Abdel-Magid, Nada; Tweddale, Ben; Metry, Denise; Fournet, Jean-Christophe; Papp, Eniko; McPherson, Elizabeth W; Zabel, Carrie; Vaksmann, Guy; Morisot, Cyril; Keating, Brendan; Sleiman, Patrick M; Cleveland, Jeffrey A; Everman, David B; Zackai, Elaine; Hakonarson, Hakon
Infantile myofibromatosis (IM) is a disorder of mesenchymal proliferation characterized by the development of nonmetastasizing tumors in the skin, muscle, bone, and viscera. Occurrence within families across multiple generations is suggestive of an autosomal-dominant (AD) inheritance pattern, but autosomal-recessive (AR) modes of inheritance have also been proposed. We performed whole-exome sequencing (WES) in members of nine unrelated families clinically diagnosed with AD IM to identify the genetic origin of the disorder. In eight of the families, we identified one of two disease-causing mutations, c.1978C>A (p.Pro660Thr) and c.1681C>T (p.Arg561Cys), in PDGFRB. Intriguingly, one family did not have either of these PDGFRB mutations but all affected individuals had a c.4556T>C (p.Leu1519Pro) mutation in NOTCH3. Our studies suggest that mutations in PDGFRB are a cause of IM and highlight NOTCH3 as a candidate gene. Further studies of the crosstalk between PDGFRB and NOTCH pathways may offer new opportunities to identify mutations in other genes that result in IM and is a necessary first step toward understanding the mechanisms of both tumor growth and regression and its targeted treatment.
PMID: 23731542
ISSN: 1537-6605
CID: 5478012

Secretory phospholipase A(2)-IIA and cardiovascular disease: a mendelian randomization study

Holmes, Michael V; Simon, Tabassome; Exeter, Holly J; Folkersen, Lasse; Asselbergs, Folkert W; Guardiola, Montse; Cooper, Jackie A; Palmen, Jutta; Hubacek, Jaroslav A; Carruthers, Kathryn F; Horne, Benjamin D; Brunisholz, Kimberly D; Mega, Jessica L; van Iperen, Erik P A; Li, Mingyao; Leusink, Maarten; Trompet, Stella; Verschuren, Jeffrey J W; Hovingh, G Kees; Dehghan, Abbas; Nelson, Christopher P; Kotti, Salma; Danchin, Nicolas; Scholz, Markus; Haase, Christiane L; Rothenbacher, Dietrich; Swerdlow, Daniel I; Kuchenbaecker, Karoline B; Staines-Urias, Eleonora; Goel, Anuj; van 't Hooft, Ferdinand; Gertow, Karl; de Faire, Ulf; Panayiotou, Andrie G; Tremoli, Elena; Baldassarre, Damiano; Veglia, Fabrizio; Holdt, Lesca M; Beutner, Frank; Gansevoort, Ron T; Navis, Gerjan J; Mateo Leach, Irene; Breitling, Lutz P; Brenner, Hermann; Thiery, Joachim; Dallmeier, Dhayana; Franco-Cereceda, Anders; Boer, Jolanda M A; Stephens, Jeffrey W; Hofker, Marten H; Tedgui, Alain; Hofman, Albert; Uitterlinden, André G; Adamkova, Vera; Pitha, Jan; Onland-Moret, N Charlotte; Cramer, Maarten J; Nathoe, Hendrik M; Spiering, Wilko; Klungel, Olaf H; Kumari, Meena; Whincup, Peter H; Morrow, David A; Braund, Peter S; Hall, Alistair S; Olsson, Anders G; Doevendans, Pieter A; Trip, Mieke D; Tobin, Martin D; Hamsten, Anders; Watkins, Hugh; Koenig, Wolfgang; Nicolaides, Andrew N; Teupser, Daniel; Day, Ian N M; Carlquist, John F; Gaunt, Tom R; Ford, Ian; Sattar, Naveed; Tsimikas, Sotirios; Schwartz, Gregory G; Lawlor, Debbie A; Morris, Richard W; Sandhu, Manjinder S; Poledne, Rudolf; Maitland-van der Zee, Anke H; Khaw, Kay-Tee; Keating, Brendan J; van der Harst, Pim; Price, Jackie F; Mehta, Shamir R; Yusuf, Salim; Witteman, Jaqueline C M; Franco, Oscar H; Jukema, J Wouter; de Knijff, Peter; Tybjaerg-Hansen, Anne; Rader, Daniel J; Farrall, Martin; Samani, Nilesh J; Kivimaki, Mika; Fox, Keith A A; Humphries, Steve E; Anderson, Jeffrey L; Boekholdt, S Matthijs; Palmer, Tom M; Eriksson, Per; Paré, Guillaume; Hingorani, Aroon D; Sabatine, Marc S; Mallat, Ziad; Casas, Juan P; Talmud, Philippa J
OBJECTIVES/OBJECTIVE:This study sought to investigate the role of secretory phospholipase A2 (sPLA2)-IIA in cardiovascular disease. BACKGROUND:Higher circulating levels of sPLA2-IIA mass or sPLA2 enzyme activity have been associated with increased risk of cardiovascular events. However, it is not clear if this association is causal. A recent phase III clinical trial of an sPLA2 inhibitor (varespladib) was stopped prematurely for lack of efficacy. METHODS:We conducted a Mendelian randomization meta-analysis of 19 general population studies (8,021 incident, 7,513 prevalent major vascular events [MVE] in 74,683 individuals) and 10 acute coronary syndrome (ACS) cohorts (2,520 recurrent MVE in 18,355 individuals) using rs11573156, a variant in PLA2G2A encoding the sPLA2-IIA isoenzyme, as an instrumental variable. RESULTS:PLA2G2A rs11573156 C allele associated with lower circulating sPLA2-IIA mass (38% to 44%) and sPLA2 enzyme activity (3% to 23%) per C allele. The odds ratio (OR) for MVE per rs11573156 C allele was 1.02 (95% confidence interval [CI]: 0.98 to 1.06) in general populations and 0.96 (95% CI: 0.90 to 1.03) in ACS cohorts. In the general population studies, the OR derived from the genetic instrumental variable analysis for MVE for a 1-log unit lower sPLA2-IIA mass was 1.04 (95% CI: 0.96 to 1.13), and differed from the non-genetic observational estimate (OR: 0.69; 95% CI: 0.61 to 0.79). In the ACS cohorts, both the genetic instrumental variable and observational ORs showed a null association with MVE. Instrumental variable analysis failed to show associations between sPLA2 enzyme activity and MVE. CONCLUSIONS:Reducing sPLA2-IIA mass is unlikely to be a useful therapeutic goal for preventing cardiovascular events.
PMID: 23916927
ISSN: 1558-3597
CID: 5478022