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Lipids, obesity and gallbladder disease in women: insights from genetic studies using the cardiovascular gene-centric 50K SNP array

Rodriguez, Santiago; Gaunt, Tom R; Guo, Yiran; Zheng, Jie; Barnes, Michael R; Tang, Weihang; Danish, Fazal; Johnson, Andrew; Castillo, Berta A; Li, Yun R; Hakonarson, Hakon; Buxbaum, Sarah G; Palmer, Tom; Tsai, Michael Y; Lange, Leslie A; Ebrahim, Shah; Davey Smith, George; Lawlor, Debbie A; Folsom, Aaron R; Hoogeveen, Ron; Reiner, Alex; Keating, Brendan; Day, Ian N M
Gallbladder disease (GBD) has an overall prevalence of 10-40% depending on factors such as age, gender, population, obesity and diabetes, and represents a major economic burden. Although gallstones are composed of cholesterol by-products and are associated with obesity, presumed causal pathways remain unproven, although BMI reduction is typically recommended. We performed genetic studies to discover candidate genes and define pathways involved in GBD. We genotyped 15,241 women of European ancestry from three cohorts, including 3216 with GBD, using the Human cardiovascular disease (HumanCVD) BeadChip containing up to ~ 53,000 single-nucleotide polymorphisms (SNPs). Effect sizes with P-values for development of GBD were generated. We identify two new loci associated with GBD, GCKR rs1260326:T>C (P = 5.88 × 10(-7), ß = -0.146) and TTC39B rs686030:C>A (P = 6.95 x 10(-7), ß = 0.271) and detect four independent SNP effects in ABCG8 rs4953023:G>A (P=7.41 × 10(-47), ß = 0.734), ABCG8 rs4299376:G(>)T (P = 2.40 × 10(-18), ß = 0.278), ABCG5 rs6544718:T>C (P = 2.08 × 10(-14), ß = 0.044) and ABCG5 rs6720173:G>C (P = 3.81 × 10(-12), ß(=)0.262) in conditional analyses taking genotypes of rs4953023:G>A as a covariate. We also delineate the risk effects among many genotypes known to influence lipids. These data, from the largest GBD genetic study to date, show that specific, mainly hepatocyte-centred, components of lipid metabolism are important to GBD risk in women. We discuss the potential pharmaceutical implications of our findings.
PMCID:4681116
PMID: 25920552
ISSN: 1476-5438
CID: 5478312

Genetic Risk Score for Essential Hypertension and Risk of Preeclampsia

Smith, Caitlin J; Saftlas, Audrey F; Spracklen, Cassandra N; Triche, Elizabeth W; Bjonnes, Andrew; Keating, Brendan; Saxena, Richa; Breheny, Patrick J; Dewan, Andrew T; Robinson, Jennifer G; Hoh, Josephine; Ryckman, Kelli K
BACKGROUND:Preeclampsia is a hypertensive complication of pregnancy characterized by novel onset of hypertension after 20 weeks gestation, accompanied by proteinuria. Epidemiological evidence suggests that genetic susceptibility exists for preeclampsia; however, whether preeclampsia is the result of underlying genetic risk for essential hypertension has yet to be investigated. Based on the hypertensive state that is characteristic of preeclampsia, we aimed to determine if established genetic risk scores (GRSs) for hypertension and blood pressure are associated with preeclampsia. METHODS:Subjects consisted of 162 preeclamptic cases and 108 normotensive pregnant controls, all of Iowa residence. Subjects' DNA was extracted from buccal swab samples and genotyped on the Affymetrix Genome-wide Human SNP Array 6.0 (Affymetrix, Santa Clara, CA). Missing genotypes were imputed using MaCH and Minimac software. GRSs were calculated for hypertension, systolic blood pressure (SBP), diastolic blood pressure (DBP), and mean arterial pressure (MAP) using established genetic risk loci for each outcome. Regression analyses were performed to determine the association between GRS and risk of preeclampsia. These analyses were replicated in an independent US population of 516 cases and 1,097 controls of European ancestry. RESULTS:GRSs for hypertension, SBP, DBP, and MAP were not significantly associated with risk for preeclampsia (P > 0.189). The results of the replication analysis also yielded nonsignificant associations. CONCLUSIONS:GRSs for hypertension and blood pressure are not associated with preeclampsia, suggesting that an underlying predisposition to essential hypertension is not on the causal pathway of preeclampsia.
PMCID:4692983
PMID: 26002928
ISSN: 1941-7225
CID: 5478332

Machine Learning Derived Disease Risk Prediction of Anorexia Nervosa [Meeting Abstract]

Guo, Yiran; Wei, Zhi; Keating, Brendan; Hakonarson, Hakon
ISI:000392559600010
ISSN: 0001-5652
CID: 5479112

Adult height, coronary heart disease and stroke: a multi-locus Mendelian randomization meta-analysis

Nuesch, Eveline; Dale, Caroline; Palmer, Tom M.; White, Jon; Keating, Brendan J.; van Iperen, Erik P. A.; Goel, Anuj; Padmanabhan, Sandosh; WAsselbergs, Folkert; Lange, Leslie A.; Hovingh, G. K.; Sivapalaratnam, Suthesh; Morris, Richard W.; Whincup, Peter H.; Wannamethe, Goya S.; Gaunt, Tom R.; Ebrahim, Shah; Steel, Laura; Nair, Nikhil; Reiner, Alexander P.; Kooperberg, Charles; Wilson, James F.; Bolton, Jennifer L.; McLachlan, Stela; Price, Jacqueline F.; Strachan, Mark W. J.; Robertson, Christine M.; Kleber, Marcus E.; Delgado, Graciela; Marz, Winfried; Melander, Olle; Dominiczak, Anna F.; Farrall, Martin; Watkins, Hugh; Leusink, Maarten; Maitland-van der Zee, Anke H.; de Groot, Mark C. H.; Dudbridge, Frank; Hingorani, Aroon; Ben-Shlomo, Yoav; Lawlor, Debbie A.; Smith, George Davey; Wells, Jonathan C.; Leon, David A.; Holmes, Michael V.; Casas, Juan P.
ISI:000398261100031
ISSN: 0300-5771
CID: 5479122

Elevated Fibroblast Growth Factor 23 Concentration: Prediction of Mortality among Chronic Kidney Disease Patients

Chathoth, Shahanas; Al-Mueilo, Samir; Cyrus, Cyril; Vatte, Chittibabu; Al-Nafaie, Awatif; Al-Ali, Rudaynah; Keating, Brendan J; Al-Muhanna, Fahad; Al Ali, Amein
BACKGROUND:The osteocyte-derived hormone, fibroblast growth factor 23 (FGF23), regulates the phosphorus metabolism and suppresses 1,25-dihydroxyvitamin D production, thereby mitigating hyperphosphatemia in patients with renal disorders. An elevated FGF23 level is suggested to be an early biomarker of altered phosphorus metabolism in the initial stages of chronic kidney disease (CKD) and acts as a strong predictor of mortality in dialysis patients. In the Saudi population, there is no report on the FGF23 level in CKD patients to date. This study aims to estimate the plasma FGF23 levels in the Saudi population and to correlate it with its clinical manifestations in order to ascertain its role in the pathogenesis of CKD patients. METHODS:The FGF23 level in the plasma samples was determined using ELISA in a diverse cohort of 89 cases with stage 3-5 CKD and 100 healthy subjects. The plasma FGF23 level was correlated with other biochemical parameters. RESULTS:The results revealed that the FGF23 level was markedly elevated among CKD patients compared to the control group, and a significant inverse correlation was observed between the FGF23 level and glomerular filtration rate. FGF23 elevation was approximately 40-fold among stage 5 patients compared to the control, while the elevation of phosphate, parathyroid hormone (PTH) and alkaline phosphatase was 2-, 3- and 8-fold in this stage, respectively. CONCLUSION/CONCLUSIONS:Elevated FGF23 levels may have a strong correlation with the disease pathogenesis. In addition, FGF23 might be a future therapeutic target to intervene against the progression of CKD as well as to increase patient survivability.
PMCID:4698654
PMID: 27194998
ISSN: 1664-3828
CID: 5478462

Copy number variation in CEP57L1 predisposes to congenital absence of bilateral ACL and PCL ligaments

Liu, Yichuan; Li, Yun; March, Michael E; Nguyen, Kenny; Xu, Kexiang; Wang, Fengxiang; Guo, Yiran; Keating, Brendan; Glessner, Joseph; Li, Jiankang; Ganley, Theodore J; Zhang, Jianguo; Deardorff, Matthew A; Xu, Xun; Hakonarson, Hakon
BACKGROUND:Absence of the anterior (ACL) or posterior cruciate ligament (PCL) are rare congenital malformations that result in knee joint instability, with a prevalence of 1.7 per 100,000 live births and can be associated with other lower-limb abnormalities such as ACL agnesia and absence of the menisci of the knee. While a few cases of absence of ACL/PCL are reported in the literature, a number of large familial case series of related conditions such as ACL agnesia suggest a potential underlying monogenic etiology. We performed whole exome sequencing of a family with two individuals affected by ACL/PCL. RESULTS:We identified copy number variation (CNV) deletion impacting the exon sequences of CEP57L1, present in the affected mother and her affected daughter based on the exome sequencing data. The deletion was validated using quantitative PCR (qPCR), and the gene was confirmed to be expressed in ACL ligament tissue. Interestingly, we detected reduced expression of CEP57L1 in Epstein-Barr virus (EBV) cells from the two patients in comparison with healthy controls. Evaluation of 3D protein structure showed that the helix-binding sites of the protein remain intact with the deletion, but other functional binding sites related to microtubule attachment are missing. The specificity of the CNV deletion was confirmed by showing that it was absent in ~700 exome sequencing samples as well as in the database of genomic variations (DGV), a database containing large numbers of annotated CNVs from previous scientific reports. CONCLUSIONS:We identified a novel CNV deletion that was inherited through an autosomal dominant transmission from an affected mother to her affected daughter, both of whom suffered from the absence of the anterior and posterior cruciate ligaments of the knees.
PMID: 26561035
ISSN: 1479-7364
CID: 5478372

Design and Implementation of the International Genetics and Translational Research in Transplantation Network

Keating, Brendan J; van Setten, Jessica; Jacobson, Pamala A; Holmes, Michael V; Verma, Shefali S; Chandrupatla, Hareesh R; Nair, Nikhil; Gao, Hui; Li, Yun R; Chang, Bao-Li; Wong, Chanel; Phillips, Randy; Cole, Brian S; Mukhtar, Eyas; Zhang, Weijia; Cao, Hongzhi; Mohebnasab, Maede; Hou, Cuiping; Lee, Takesha; Steel, Laura; Shaked, Oren; Garifallou, James; Miller, Michael B; Karczewski, Konrad J; Akdere, Abdullah; Gonzalez, Ana; Lloyd, Kelsey M; McGinn, Daniel; Michaud, Zach; Colasacco, Abigail; Lek, Monkol; Fu, Yao; Pawashe, Mayur; Guettouche, Toumy; Himes, Aubree; Perez, Leat; Guan, Weihua; Wu, Baolin; Schladt, David; Menon, Madhav; Zhang, Zhongyang; Tragante, Vinicius; de Jonge, Nicolaas; Otten, Henny G; de Weger, Roel A; van de Graaf, Ed A; Baan, Carla C; Manintveld, Olivier C; De Vlaminck, Iwijn; Piening, Brian D; Strehl, Calvin; Shaw, Mary; Snieder, Harold; Klintmalm, Goran B; O'Leary, Jacqueline G; Amaral, Sandra; Goldfarb, Samuel; Rand, Elizabeth; Rossano, Joseph W; Kohli, Utkarsh; Heeger, Peter; Stahl, Eli; Christie, Jason D; Fuentes, Maria Hernandez; Levine, John E; Aplenc, Richard; Schadt, Eric E; Stranger, Barbara E; Kluin, Jolanda; Potena, Luciano; Zuckermann, Andreas; Khush, Kiran; Alzahrani, Alhusain J; Al-Muhanna, Fahad A; Al-Ali, Amein K; Al-Ali, Rudaynah; Al-Rubaish, Abdullah M; Al-Mueilo, Samir; Byrne, Edna M; Miller, David; Alexander, Stephen I; Onengut-Gumuscu, Suna; Rich, Stephen S; Suthanthiran, Manikkam; Tedesco, Helio; Saw, Chee L; Ragoussis, Jiannis; Kfoury, Abdallah G; Horne, Benjamin; Carlquist, John; Gerstein, Mark B; Reindl-Schwaighofer, Roman; Oberbauer, Rainer; Wijmenga, Cisca; Palmer, Scott; Pereira, Alexandre C; Segovia, Javier; Alonso-Pulpon, Luis A; Comez-Bueno, Manuel; Vilches, Carlos; Jaramillo, Natalia; de Borst, Martin H; Naesens, Maarten; Hao, Ke; MacArthur, Daniel G; Balasubramanian, Suganthi; Conlon, Peter J; Lord, Graham M; Ritchie, Marylyn D; Snyder, Michael; Olthoff, Kim M; Moore, Jason H; Petersdorf, Effie W; Kamoun, Malek; Wang, Jun; Monos, Dimitri S; de Bakker, Paul I W; Hakonarson, Hakon; Murphy, Barbara; Lankree, Matthew B; Garcia-Pavia, Pablo; Oetting, William S; Birdwell, Kelly A; Bakker, Stephan J L; Israni, Ajay K; Shaked, Abraham; Asselbergs, Folkert W
BACKGROUND:Genetic association studies of transplantation outcomes have been hampered by small samples and highly complex multifactorial phenotypes, hindering investigations of the genetic architecture of a range of comorbidities which significantly impact graft and recipient life expectancy. We describe here the rationale and design of the International Genetics & Translational Research in Transplantation Network. The network comprises 22 studies to date, including 16494 transplant recipients and 11669 donors, of whom more than 5000 are of non-European ancestry, all of whom have existing genomewide genotype data sets. METHODS:We describe the rich genetic and phenotypic information available in this consortium comprising heart, kidney, liver, and lung transplant cohorts. RESULTS:We demonstrate significant power in International Genetics & Translational Research in Transplantation Network to detect main effect association signals across regions such as the MHC region as well as genomewide for transplant outcomes that span all solid organs, such as graft survival, acute rejection, new onset of diabetes after transplantation, and for delayed graft function in kidney only. CONCLUSIONS:This consortium is designed and statistically powered to deliver pioneering insights into the genetic architecture of transplant-related outcomes across a range of different solid-organ transplant studies. The study design allows a spectrum of analyses to be performed including recipient-only analyses, donor-recipient HLA mismatches with focus on loss-of-function variants and nonsynonymous single nucleotide polymorphisms.
PMCID:4623847
PMID: 26479416
ISSN: 1534-6080
CID: 5479282

Genetic sharing and heritability of paediatric age of onset autoimmune diseases

Li, Yun R; Zhao, Sihai D; Li, Jin; Bradfield, Jonathan P; Mohebnasab, Maede; Steel, Laura; Kobie, Julie; Abrams, Debra J; Mentch, Frank D; Glessner, Joseph T; Guo, Yiran; Wei, Zhi; Connolly, John J; Cardinale, Christopher J; Bakay, Marina; Li, Dong; Maggadottir, S Melkorka; Thomas, Kelly A; Qui, Haijun; Chiavacci, Rosetta M; Kim, Cecilia E; Wang, Fengxiang; Snyder, James; Flato, Berit; Forre, Oystein; Denson, Lee A; Thompson, Susan D; Becker, Mara L; Guthery, Stephen L; Latiano, Anna; Perez, Elena; Resnick, Elena; Strisciuglio, Caterina; Staiano, Annamaria; Miele, Erasmo; Silverberg, Mark S; Lie, Benedicte A; Punaro, Marilynn; Russell, Richard K; Wilson, David C; Dubinsky, Marla C; Monos, Dimitri S; Annese, Vito; Munro, Jane E; Wise, Carol; Chapel, Helen; Cunningham-Rundles, Charlotte; Orange, Jordan S; Behrens, Edward M; Sullivan, Kathleen E; Kugathasan, Subra; Griffiths, Anne M; Satsangi, Jack; Grant, Struan F A; Sleiman, Patrick M A; Finkel, Terri H; Polychronakos, Constantin; Baldassano, Robert N; Luning Prak, Eline T; Ellis, Justine A; Li, Hongzhe; Keating, Brendan J; Hakonarson, Hakon
Autoimmune diseases (AIDs) are polygenic diseases affecting 7-10% of the population in the Western Hemisphere with few effective therapies. Here, we quantify the heritability of paediatric AIDs (pAIDs), including JIA, SLE, CEL, T1D, UC, CD, PS, SPA and CVID, attributable to common genomic variations (SNP-h(2)). SNP-h(2) estimates are most significant for T1D (0.863+/-s.e. 0.07) and JIA (0.727+/-s.e. 0.037), more modest for UC (0.386+/-s.e. 0.04) and CD (0.454+/-0.025), largely consistent with population estimates and are generally greater than that previously reported by adult GWAS. On pairwise analysis, we observed that the diseases UC-CD (0.69+/-s.e. 0.07) and JIA-CVID (0.343+/-s.e. 0.13) are the most strongly correlated. Variations across the MHC strongly contribute to SNP-h(2) in T1D and JIA, but does not significantly contribute to the pairwise rG. Together, our results partition contributions of shared versus disease-specific genomic variations to pAID heritability, identifying pAIDs with unexpected risk sharing, while recapitulating known associations between autoimmune diseases previously reported in adult cohorts.
PMCID:4633631
PMID: 26450413
ISSN: 2041-1723
CID: 1808672

Concept and design of a genome-wide association genotyping array tailored for transplantation-specific studies

Li, Yun R; van Setten, Jessica; Verma, Shefali S; Lu, Yontao; Holmes, Michael V; Gao, Hui; Lek, Monkol; Nair, Nikhil; Chandrupatla, Hareesh; Chang, Baoli; Karczewski, Konrad J; Wong, Chanel; Mohebnasab, Maede; Mukhtar, Eyas; Phillips, Randy; Tragante, Vinicius; Hou, Cuiping; Steel, Laura; Lee, Takesha; Garifallou, James; Guettouche, Toumy; Cao, Hongzhi; Guan, Weihua; Himes, Aubree; van Houten, Jacob; Pasquier, Andrew; Yu, Reina; Carrigan, Elena; Miller, Michael B; Schladt, David; Akdere, Abdullah; Gonzalez, Ana; Llyod, Kelsey M; McGinn, Daniel; Gangasani, Abhinav; Michaud, Zach; Colasacco, Abigail; Snyder, James; Thomas, Kelly; Wang, Tiancheng; Wu, Baolin; Alzahrani, Alhusain J; Al-Ali, Amein K; Al-Muhanna, Fahad A; Al-Rubaish, Abdullah M; Al-Mueilo, Samir; Monos, Dimitri S; Murphy, Barbara; Olthoff, Kim M; Wijmenga, Cisca; Webster, Teresa; Kamoun, Malek; Balasubramanian, Suganthi; Lanktree, Matthew B; Oetting, William S; Garcia-Pavia, Pablo; MacArthur, Daniel G; de Bakker, Paul I W; Hakonarson, Hakon; Birdwell, Kelly A; Jacobson, Pamala A; Ritchie, Marylyn D; Asselbergs, Folkert W; Israni, Ajay K; Shaked, Abraham; Keating, Brendan J
BACKGROUND:In addition to HLA genetic incompatibility, non-HLA difference between donor and recipients of transplantation leading to allograft rejection are now becoming evident. We aimed to create a unique genome-wide platform to facilitate genomic research studies in transplant-related studies. We designed a genome-wide genotyping tool based on the most recent human genomic reference datasets, and included customization for known and potentially relevant metabolic and pharmacological loci relevant to transplantation. METHODS:We describe here the design and implementation of a customized genome-wide genotyping array, the 'TxArray', comprising approximately 782,000 markers with tailored content for deeper capture of variants across HLA, KIR, pharmacogenomic, and metabolic loci important in transplantation. To test concordance and genotyping quality, we genotyped 85 HapMap samples on the array, including eight trios. RESULTS:We show low Mendelian error rates and high concordance rates for HapMap samples (average parent-parent-child heritability of 0.997, and concordance of 0.996). We performed genotype imputation across autosomal regions, masking directly genotyped SNPs to assess imputation accuracy and report an accuracy of >0.962 for directly genotyped SNPs. We demonstrate much higher capture of the natural killer cell immunoglobulin-like receptor (KIR) region versus comparable platforms. Overall, we show that the genotyping quality and coverage of the TxArray is very high when compared to reference samples and to other genome-wide genotyping platforms. CONCLUSIONS:We have designed a comprehensive genome-wide genotyping tool which enables accurate association testing and imputation of ungenotyped SNPs, facilitating powerful and cost-effective large-scale genotyping of transplant-related studies.
PMCID:4589899
PMID: 26423053
ISSN: 1756-994x
CID: 5478362

Meta-analysis of shared genetic architecture across ten pediatric autoimmune diseases

Li, Yun R; Li, Jin; Zhao, Sihai D; Bradfield, Jonathan P; Mentch, Frank D; Maggadottir, S Melkorka; Hou, Cuiping; Abrams, Debra J; Chang, Diana; Gao, Feng; Guo, Yiran; Wei, Zhi; Connolly, John J; Cardinale, Christopher J; Bakay, Marina; Glessner, Joseph T; Li, Dong; Kao, Charlly; Thomas, Kelly A; Qiu, Haijun; Chiavacci, Rosetta M; Kim, Cecilia E; Wang, Fengxiang; Snyder, James; Richie, Marylyn D; Flato, Berit; Forre, Oystein; Denson, Lee A; Thompson, Susan D; Becker, Mara L; Guthery, Stephen L; Latiano, Anna; Perez, Elena; Resnick, Elena; Russell, Richard K; Wilson, David C; Silverberg, Mark S; Annese, Vito; Lie, Benedicte A; Punaro, Marilynn; Dubinsky, Marla C; Monos, Dimitri S; Strisciuglio, Caterina; Staiano, Annamaria; Miele, Erasmo; Kugathasan, Subra; Ellis, Justine A; Munro, Jane E; Sullivan, Kathleen E; Wise, Carol A; Chapel, Helen; Cunningham-Rundles, Charlotte; Grant, Struan F A; Orange, Jordan S; Sleiman, Patrick M A; Behrens, Edward M; Griffiths, Anne M; Satsangi, Jack; Finkel, Terri H; Keinan, Alon; Prak, Eline T Luning; Polychronakos, Constantin; Baldassano, Robert N; Li, Hongzhe; Keating, Brendan J; Hakonarson, Hakon
Genome-wide association studies (GWASs) have identified hundreds of susceptibility genes, including shared associations across clinically distinct autoimmune diseases. We performed an inverse chi(2) meta-analysis across ten pediatric-age-of-onset autoimmune diseases (pAIDs) in a case-control study including more than 6,035 cases and 10,718 shared population-based controls. We identified 27 genome-wide significant loci associated with one or more pAIDs, mapping to in silico-replicated autoimmune-associated genes (including IL2RA) and new candidate loci with established immunoregulatory functions such as ADGRL2, TENM3, ANKRD30A, ADCY7 and CD40LG. The pAID-associated single-nucleotide polymorphisms (SNPs) were functionally enriched for deoxyribonuclease (DNase)-hypersensitivity sites, expression quantitative trait loci (eQTLs), microRNA (miRNA)-binding sites and coding variants. We also identified biologically correlated, pAID-associated candidate gene sets on the basis of immune cell expression profiling and found evidence of genetic sharing. Network and protein-interaction analyses demonstrated converging roles for the signaling pathways of type 1, 2 and 17 helper T cells (TH1, TH2 and TH17), JAK-STAT, interferon and interleukin in multiple autoimmune diseases.
PMCID:4863040
PMID: 26301688
ISSN: 1546-170x
CID: 1809002