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Exome sequencing of Saudi Arabian patients with ADPKD

Al-Muhanna, Fahad A; Al-Rubaish, Abdullah M; Vatte, Chittibabu; Mohiuddin, Shamim Shaikh; Cyrus, Cyril; Ahmad, Arafat; Shakil Akhtar, Mohammed; Albezra, Mohammad Ahmad; Alali, Rudaynah A; Almuhanna, Afnan F; Huang, Kai; Wang, Lusheng; Al-Kuwaiti, Feras; Elsalamouni, Tamer S Ahmed; Al Hwiesh, Abdullah; Huang, Xiaoyan; Keating, Brendan; Li, Jiankang; Lanktree, Matthew B; Al-Ali, Amein K
PMCID:6735335
PMID: 31488014
ISSN: 1525-6049
CID: 5478732

Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9

Schmidt, Amand F; Holmes, Michael V; Preiss, David; Swerdlow, Daniel I; Denaxas, Spiros; Fatemifar, Ghazaleh; Faraway, Rupert; Finan, Chris; Valentine, Dennis; Fairhurst-Hunter, Zammy; Hartwig, Fernando Pires; Horta, Bernardo Lessa; Hypponen, Elina; Power, Christine; Moldovan, Max; van Iperen, Erik; Hovingh, Kees; Demuth, Ilja; Norman, Kristina; Steinhagen-Thiessen, Elisabeth; Demuth, Juri; Bertram, Lars; Lill, Christina M; Coassin, Stefan; Willeit, Johann; Kiechl, Stefan; Willeit, Karin; Mason, Dan; Wright, John; Morris, Richard; Wanamethee, Goya; Whincup, Peter; Ben-Shlomo, Yoav; McLachlan, Stela; Price, Jackie F; Kivimaki, Mika; Welch, Catherine; Sanchez-Galvez, Adelaida; Marques-Vidal, Pedro; Nicolaides, Andrew; Panayiotou, Andrie G; Onland-Moret, N Charlotte; van der Schouw, Yvonne T; Matullo, Giuseppe; Fiorito, Giovanni; Guarrera, Simonetta; Sacerdote, Carlotta; Wareham, Nicholas J; Langenberg, Claudia; Scott, Robert A; Luan, Jian'an; Bobak, Martin; Malyutina, Sofia; Pająk, Andrzej; Kubinova, Ruzena; Tamosiunas, Abdonas; Pikhart, Hynek; Grarup, Niels; Pedersen, Oluf; Hansen, Torben; Linneberg, Allan; Jess, Tine; Cooper, Jackie; Humphries, Steve E; Brilliant, Murray; Kitchner, Terrie; Hakonarson, Hakon; Carrell, David S; McCarty, Catherine A; Lester, Kirchner H; Larson, Eric B; Crosslin, David R; de Andrade, Mariza; Roden, Dan M; Denny, Joshua C; Carty, Cara; Hancock, Stephen; Attia, John; Holliday, Elizabeth; Scott, Rodney; Schofield, Peter; O'Donnell, Martin; Yusuf, Salim; Chong, Michael; Pare, Guillaume; van der Harst, Pim; Said, M Abdullah; Eppinga, Ruben N; Verweij, Niek; Snieder, Harold; Christen, Tim; Mook-Kanamori, D O; Gustafsson, Stefan; Lind, Lars; Ingelsson, Erik; Pazoki, Raha; Franco, Oscar; Hofman, Albert; Uitterlinden, Andre; Dehghan, Abbas; Teumer, Alexander; Baumeister, Sebastian; Dörr, Marcus; Lerch, Markus M; Völker, Uwe; Völzke, Henry; Ward, Joey; Pell, Jill P; Meade, Tom; Christophersen, Ingrid E; Maitland-van der Zee, Anke H; Baranova, Ekaterina V; Young, Robin; Ford, Ian; Campbell, Archie; Padmanabhan, Sandosh; Bots, Michiel L; Grobbee, Diederick E; Froguel, Philippe; Thuillier, Dorothée; Roussel, Ronan; Bonnefond, Amélie; Cariou, Bertrand; Smart, Melissa; Bao, Yanchun; Kumari, Meena; Mahajan, Anubha; Hopewell, Jemma C; Seshadri, Sudha; Dale, Caroline; Costa, Rui Providencia E; Ridker, Paul M; Chasman, Daniel I; Reiner, Alex P; Ritchie, Marylyn D; Lange, Leslie A; Cornish, Alex J; Dobbins, Sara E; Hemminki, Kari; Kinnersley, Ben; Sanson, Marc; Labreche, Karim; Simon, Matthias; Bondy, Melissa; Law, Philip; Speedy, Helen; Allan, James; Li, Ni; Went, Molly; Weinhold, Niels; Morgan, Gareth; Sonneveld, Pieter; Nilsson, Björn; Goldschmidt, Hartmut; Sud, Amit; Engert, Andreas; Hansson, Markus; Hemingway, Harry; Asselbergs, Folkert W; Patel, Riyaz S; Keating, Brendan J; Sattar, Naveed; Houlston, Richard; Casas, Juan P; Hingorani, Aroon D
BACKGROUND:We characterised the phenotypic consequence of genetic variation at the PCSK9 locus and compared findings with recent trials of pharmacological inhibitors of PCSK9. METHODS:Published and individual participant level data (300,000+ participants) were combined to construct a weighted PCSK9 gene-centric score (GS). Seventeen randomized placebo controlled PCSK9 inhibitor trials were included, providing data on 79,578 participants. Results were scaled to a one mmol/L lower LDL-C concentration. RESULTS:The PCSK9 GS (comprising 4 SNPs) associations with plasma lipid and apolipoprotein levels were consistent in direction with treatment effects. The GS odds ratio (OR) for myocardial infarction (MI) was 0.53 (95% CI 0.42; 0.68), compared to a PCSK9 inhibitor effect of 0.90 (95% CI 0.86; 0.93). For ischemic stroke ORs were 0.84 (95% CI 0.57; 1.22) for the GS, compared to 0.85 (95% CI 0.78; 0.93) in the drug trials. ORs with type 2 diabetes mellitus (T2DM) were 1.29 (95% CI 1.11; 1.50) for the GS, as compared to 1.00 (95% CI 0.96; 1.04) for incident T2DM in PCSK9 inhibitor trials. No genetic associations were observed for cancer, heart failure, atrial fibrillation, chronic obstructive pulmonary disease, or Alzheimer's disease - outcomes for which large-scale trial data were unavailable. CONCLUSIONS:Genetic variation at the PCSK9 locus recapitulates the effects of therapeutic inhibition of PCSK9 on major blood lipid fractions and MI. While indicating an increased risk of T2DM, no other possible safety concerns were shown; although precision was moderate.
PMCID:6820948
PMID: 31664920
ISSN: 1471-2261
CID: 5478742

Tacrolimus troughs and genetic determinants of metabolism in kidney transplant recipients: A comparison of four ancestry groups

Mohamed, Moataz E; Schladt, David P; Guan, Weihua; Wu, Baolin; van Setten, Jessica; Keating, Brendan J; Iklé, David; Remmel, Rory P; Dorr, Casey R; Mannon, Roslyn B; Matas, Arthur J; Israni, Ajay K; Oetting, William S; Jacobson, Pamala A
Tacrolimus trough and dose requirements vary dramatically between individuals of European and African American ancestry. These differences are less well described in other populations. We conducted an observational, prospective, multicenter study from which 2595 kidney transplant recipients of European, African, Native American, and Asian ancestry were studied for tacrolimus trough, doses, and genetic determinants of metabolism. We studied the well-known variants and conducted a CYP3A4/5 gene-wide analysis to identify new variants. Daily doses, and dose-normalized troughs were significantly different between the four groups (P < .001). CYP3A5*3 (rs776746) was associated with higher dose-normalized tacrolimus troughs in all groups but occurred at different allele frequencies and had differing effect sizes. The CYP3A5*6 (rs10264272) and *7 (rs413003343) variants were only present in African Americans. CYP3A4*22 (rs35599367) was not found in any of the Asian ancestry samples. We identified seven suggestive variants in the CYP3A4/5 genes associated with dose-normalized troughs in Native Americans (P = 1.1 × 10-5 -8.8 × 10-6 ) and one suggestive variant in Asian Americans (P = 5.6 × 10-6 ). Tacrolimus daily doses and dose-normalized troughs vary significantly among different ancestry groups. We identified potential new variants important in Asians and Native Americans. Studies with larger populations should be conducted to assess the importance of the identified suggestive variants.
PMCID:6763344
PMID: 30953600
ISSN: 1600-6143
CID: 5478722

Harmonizing Clinical Sequencing and Interpretation for the eMERGE III Network

[Zouk, Hana; Venner, Eric; Lennon, Niall J; Muzny, Donna M; Abrams, Debra; Adunyah, Samuel; Albertson-Junkans, Ladia; Ames, Darren C; Appelbaum, Paul; Aronson, Samuel; Aufox, Sharon; Babb, Lawrence J; Balasubramanian, Adithya; Bangash, Hana; Basford, Melissa; Bastarache, Lisa; Baxter, Samantha; Behr, Meckenzie; Benoit, Barbara; Bhoj, Elizabeth; Bielinski, Suzette J; Bland, Sarah T; Blout, Carrie; Borthwick, Kenneth; Bottinger, Erwin P; Bowser, Mark; Brand, Harrison; Brilliant, Murray; Brodeur, Wendy; Caraballo, Pedro; Carrell, David; Carroll, Andrew; Almoguera, Berta; Castillo, Lisa; Castro, Victor; Chandanavelli, Gauthami; Chiang, Theodore; Chisholm, Rex L; Christensen, Kurt D; Chung, Wendy; Chute, Christopher G; City, Brittany; Cobb, Beth L; Connolly, John J; Crane, Paul; Crew, Katherine; Crosslin, David; De Andrade, Mariza; De la Cruz, Jessica; Denson, Shawn; Denny, Josh; DeSmet, Tim; Dikilitas, Ozan; Friedrich, Christopher; Fullerton, Stephanie M; Funke, Birgit; Gabriel, Stacey; Gainer, Vivian; Gharavi, Ali; Glazer, Andrew M; Glessner, Joseph T; Goehringer, Jessica; Gordon, Adam S; Graham, Chet; Green, Robert C; Gundelach, Justin H; Dayal, Jyoti; Hain, Heather S; Hakonarson, Hakon; Harden, Maegan V; Harley, John; Harr, Margaret; Hartzler, Andrea; Hayes, M Geoffrey; Hebbring, Scott; Henrikson, Nora; Hershey, Andrew; Hoell, Christin; Holm, Ingrid; Howell, Kayla M; Hripcsak, George; Hu, Jianhong; Jarvik, Gail P; Jayaseelan, Joy C; Jiang, Yunyun; Joo, Yoonjung Yoonie; Jose, Sheethal; Josyula, Navya Shilpa; Justice, Anne E; Kalla, Sara E; Kalra, Divya; Karlson, Elizabeth; Kelly, Melissa A; Keating, Brendan J; Kenny, Eimear E; Key, Dustin; Kiryluk, Krzysztof; Kitchner, Terrie; Klanderman, Barbara; Klee, Eric; Kochan, David C; Korchina, Viktoriya; Kottyan, Leah; Kovar, Christie; Kudalkar, Emily; Kullo, Iftikhar J; Lammers, Philip; Larson, Eric B; Lebo, Matthew S; Leduc, Magalie; Lee, Ming Ta Michael; Leppig, Kathleen A; Leslie, Nancy D; Li, Rongling; Liang, Wayne H; Lin, Chiao-Feng; Linder, Jodell; Lindor, Noralane M; Lingren, Todd; Linneman, James G; Liu, Cong; Liu, Wen; Liu, Xiuping; Lynch, John; Lyon, Hayley; Macbeth, Alyssa; Mahadeshwar, Harshad; Mahanta, Lisa; Malin, Brad; Manolio, Teri; Marasa, Maddalena; Marsolo, Keith; Dinsmore, Michael J; Dodge, Sheila; Hynes, Elizabeth Duffy; Dunlea, Phil; Edwards, Todd L; Eng, Christine M; Fasel, David; Fedotov, Alex; Feng, Qiping; Fleharty, Mark; Foster, Andrea; Freimuth, Robert; McGowan, Michelle L; McNally, Elizabeth; Meldrim, Jim; Mentch, Frank; Mosley, Jonathan; Mukherjee, Shubhabrata; Mullen, Thomas E; Muniz, Jesse; Murdock, David R; Murphy, Shawn; Murugan, Mullai; Myers, Melanie F; Namjou, Bahram; Ni, Yizhao; Obeng, Aniwaa Owusu; Onofrio, Robert C; Taylor, Casey Overby; Person, Thomas N; Peterson, Josh F; Petukhova, Lynn; Pisieczko, Cassandra J; Pratap, Siddharth; Prows, Cynthia A; Puckelwartz, Megan J; Rahm, Alanna Kulchak; Raj, Ritika; Ralston, James D; Ramaprasan, Arvind; Ramirez, Andrea; Rasmussen, Luke; Rasmussen-Torvik, Laura; Rasouly, Hila Milo; Raychaudhuri, Soumya; Ritchie, Marylyn D; Rives, Catherine; Riza, Beenish; Roden, Dan; Rosenthal, Elisabeth A; Santani, Avni; Schaid, Dan; Scherer, Steven; Scott, Stuart; Scrol, Aaron; Sengupta, Soumitra; Shang, Ning; Sharma, Himanshu; Sharp, Richard R; Singh, Rajbir; Sleiman, Patrick M A; Slowik, Kara; Smith, Joshua C; Smith, Maureen E; Smoller, Jordan W; Sohn, Sunghwan; Stanaway, Ian B; Starren, Justin; Stroud, Mary; Su, Jessica; Tolwinski, Kasia; Van Driest, Sara L; Vargas, Sean M; Varugheese, Matthew; Veenstra, David; Verbitsky, Miguel; Vicente, Gina; Wagner, Michael; Walker, Kimberly; Walunas, Theresa; Wang, Liwen; Wang, Qiaoyan; Wei, Wei-Qi; Weiss, Scott T; Wiesner, Georgia L; Wells, Quinn; Weng, Chunhua; White, Peter S; Wiley, Ken L Jr; Williams, Janet L; Williams, Marc S; Wilson, Michael W; Witkowski, Leora; Woods, Laura Allison; Woolf, Betty; Wu, Tsung-Jung; Wynn, Julia; Yang, Yaping; Yi, Victoria; Zhang, Ge; Zhang, Lan; Rehm, Heidi L; Gibbs, Richard A]
The advancement of precision medicine requires new methods to coordinate and deliver genetic data from heterogeneous sources to physicians and patients. The eMERGE III Network enrolled >25,000 participants from biobank and prospective cohorts of predominantly healthy individuals for clinical genetic testing to determine clinically actionable findings. The network developed protocols linking together the 11 participant collection sites and 2 clinical genetic testing laboratories. DNA capture panels targeting 109 genes were used for testing of DNA and sample collection, data generation, interpretation, reporting, delivery, and storage were each harmonized. A compliant and secure network enabled ongoing review and reconciliation of clinical interpretations, while maintaining communication and data sharing between clinicians and investigators. A total of 202 individuals had positive diagnostic findings relevant to the indication for testing and 1,294 had additional/secondary findings of medical significance deemed to be returnable, establishing data return rates for other testing endeavors. This study accomplished integration of structured genomic results into multiple electronic health record (EHR) systems, setting the stage for clinical decision support to enable genomic medicine. Further, the established processes enable different sequencing sites to harmonize technical and interpretive aspects of sequencing tests, a critical achievement toward global standardization of genomic testing. The eMERGE protocols and tools are available for widespread dissemination.
PMCID:6731372
PMID: 31447099
ISSN: 1537-6605
CID: 5479312

The impact of donor and recipient common clinical and genetic variation on estimated glomerular filtration rate in a European renal transplant population

Stapleton, Caragh P; Heinzel, Andreas; Guan, Weihua; van der Most, Peter J; van Setten, Jessica; Lord, Graham M; Keating, Brendan J; Israni, Ajay K; de Borst, Martin H; Bakker, Stephan J L; Snieder, Harold; Weale, Michael E; Delaney, Florence; Hernandez-Fuentes, Maria P; Reindl-Schwaighofer, Roman; Oberbauer, Rainer; Jacobson, Pamala A; Mark, Patrick B; Chapman, Fiona A; Phelan, Paul J; Kennedy, Claire; Sexton, Donal; Murray, Susan; Jardine, Alan; Traynor, Jamie P; McKnight, Amy Jayne; Maxwell, Alexander P; Smyth, Laura J; Oetting, William S; Matas, Arthur J; Mannon, Roslyn B; Schladt, David P; Iklé, David N; Cavalleri, Gianpiero L; Conlon, Peter J
Genetic variation across the human leukocyte antigen loci is known to influence renal-transplant outcome. However, the impact of genetic variation beyond the human leukocyte antigen loci is less clear. We tested the association of common genetic variation and clinical characteristics, from both the donor and recipient, with posttransplant eGFR at different time-points, out to 5 years posttransplantation. We conducted GWAS meta-analyses across 10 844 donors and recipients from five European ancestry cohorts. We also analyzed the impact of polygenic risk scores (PRS), calculated using genetic variants associated with nontransplant eGFR, on posttransplant eGFR. PRS calculated using the recipient genotype alone, as well as combined donor and recipient genotypes were significantly associated with eGFR at 1-year posttransplant. Thirty-two percent of the variability in eGFR at 1-year posttransplant was explained by our model containing clinical covariates (including weights for death/graft-failure), principal components and combined donor-recipient PRS, with 0.3% contributed by the PRS. No individual genetic variant was significantly associated with eGFR posttransplant in the GWAS. This is the first study to examine PRS, composed of variants that impact kidney function in the general population, in a posttransplant context. Despite PRS being a significant predictor of eGFR posttransplant, the effect size of common genetic factors is limited compared to clinical variables.
PMCID:6989089
PMID: 30920136
ISSN: 1600-6143
CID: 5478712

Genetic Variants Associated With Immunosuppressant Pharmacokinetics and Adverse Effects in the DeKAF Genomics Genome-wide Association Studies

Oetting, William S; Wu, Baolin; Schladt, David P; Guan, Weihua; van Setten, Jessica; Keating, Brendan J; Iklé, David; Remmel, Rory P; Dorr, Casey R; Mannon, Roslyn B; Matas, Arthur J; Israni, Ajay K; Jacobson, Pamala A
BACKGROUND:The immunosuppressants tacrolimus and mycophenolate are important components to the success of organ transplantation, but are also associated with adverse effects, such as nephrotoxicity, anemia, leukopenia, and new-onset diabetes after transplantation. In this report, we attempted to identify genetic variants which are associated with these adverse outcomes. METHODS:We performed a genome-wide association study, using a genotyping array tailored specifically for transplantation outcomes containing 722 147 single nucleotide polymorphisms, and 2 cohorts of kidney allograft recipients-a discovery cohort and a confirmation cohort-to identify and then confirm genetic variants associated with immunosuppressant pharmacokinetics and adverse outcomes. RESULTS:Several genetic variants were found to be associated with tacrolimus trough concentrations. We did not confirm variants associated with the other phenotypes tested although several suggestive variants were identified. CONCLUSIONS:These results show that adverse effects associated with tacrolimus and mycophenolate are complex, and recipient risk is not determined by a few genetic variants with large effects with but most likely are due to many variants, each with small effect sizes, and clinical factors.
PMCID:6597284
PMID: 30801552
ISSN: 1534-6080
CID: 5478692

Contribution of non-HLA incompatibility between donor and recipient to kidney allograft survival: genome-wide analysis in a prospective cohort

Reindl-Schwaighofer, Roman; Heinzel, Andreas; Kainz, Alexander; van Setten, Jessica; Jelencsics, Kira; Hu, Karin; Loza, Bao-Li; Kammer, Michael; Heinze, Georg; Hruba, Petra; Koňaříková, Alena; Viklicky, Ondrej; Boehmig, Georg A; Eskandary, Farsad; Fischer, Gottfried; Claas, Frans; Tan, John C; Albert, Tom J; Patel, Jigar; Keating, Brendan; Oberbauer, Rainer
BACKGROUND:The introduction of HLA matching of donors and recipients was a breakthrough in kidney transplantation. However, half of all transplanted kidneys still fail within 15 years after transplantation. Epidemiological data suggest a fundamental role of non-HLA alloimmunity. METHODS:We genotyped 477 pairs of deceased donors and first kidney transplant recipients with stable graft function at three months that were transplanted between Dec 1, 2005, and April 30, 2015. Genome-wide genetic mismatches in non-synonymous single nucleotide polymorphisms (nsSNPs) were calculated to identify incompatibilities in transmembrane and secreted proteins. We estimated the association between nsSNP mismatch and graft loss in a Cox proportional hazard model, adjusting for HLA mismatch and clinical covariates. Customised peptide arrays were generated to screen for antibodies against genotype-derived mismatched epitopes in 25 patients with biopsy-confirmed chronic antibody-mediated rejection. FINDINGS:59 268 nsSNPs affecting a transmembrane or secreted protein were analysed. The median number of nsSNP mismatches in immune-accessible transmembrane and secreted proteins between donors and recipients was 1892 (IQR 1850-1936). The degree of nsSNP mismatch was independently associated with graft loss in a multivariable model adjusted for HLA eplet mismatch (HLA-A, HLA-B, HLA-C, HLA-DP, HLA-DQ, and HLA-DR). Each increase by a unit of one IQR had an HR of 1·68 (95% CI 1·17-2·41, p=0·005). 5-year death censored graft survival was 98% in the quartile with the lowest mismatch, 91% in the second quartile, 89% in the third quartile, and 82% in the highest quartile (p=0·003, log-rank test). Customised peptide arrays verified a donor-specific alloimmune response to genetically predicted mismatched epitopes. INTERPRETATION:Genetic mismatch of non-HLA haplotypes coding for transmembrane or secreted proteins is associated with an increased risk of functional graft loss independently of HLA incompatibility. As in HLA alloimmunity, donor-specific alloantibodies can be identified against genotype derived non-HLA epitopes. FUNDING:Austrian Science Fund, WWTF (Vienna Science and Technology Fund), and Ministry of Health of the Czech Republic.
PMID: 30773281
ISSN: 1474-547x
CID: 5478682

Polygenic risk score as a determinant of risk of non-melanoma skin cancer in a European-descent renal transplant cohort

Stapleton, Caragh P; Birdwell, Kelly A; McKnight, Amy Jayne; Maxwell, Alexander P; Mark, Patrick B; Sanders, M Lee; Chapman, Fiona A; van Setten, Jessica; Phelan, Paul J; Kennedy, Claire; Jardine, Alan; Traynor, Jamie P; Keating, Brendan; Conlon, Peter J; Cavalleri, Gianpiero L
Renal transplant recipients have an increased risk of non-melanoma skin cancer (NMSC) compared to in the general population. Here, we show polygenic risk scores (PRS) calculated from genome-wide association studies (GWAS) of NMSC in a general, nontransplant setting, can predict risk of, and time to posttransplant skin cancer. Genetic variants, reaching predefined P-value thresholds were chosen from published squamous cell carcinoma (SCC) and basal cell carcinoma (BCC) nontransplant GWAS. Using these GWAS, BCC and SCC PRS were calculated for each sample across three European ancestry renal transplant cohorts (n = 889) and tested as predictors of case:control status and time to NMSC posttransplant. BCC PRS calculated at P-value threshold 1 × 10-5 was the most significant predictor of case:control status of NMSC posttransplant (OR = 1.61; adjusted P = .0022; AUC [full model adjusted for clinical predictors and PRS] = 0.81). SCC PRS at P-value threshold 1 × 10-5 was the most significant predictor of time to posttransplant NMSC (adjusted P = 9.39 × 10-7 ; HR = 1.41, concordance [full model] = 0.74). PRS of nontransplant NMSC is predictive of case:control status and time to NMSC posttransplant. These results are relevant to how genomics can risk stratify patients to help develop personalized treatment regimens.
PMCID:6367067
PMID: 30085400
ISSN: 1600-6143
CID: 5478642

Non-HLA Genetic Factors and Their Influence on Heart Transplant Outcomes: A Systematic Review

van Setten, Jessica; Warmerdam, Evangeline G; Groot, Olivier Q; de Jonge, Nicolaas; Keating, Brendan; Asselbergs, Folkert W
BACKGROUND:Improvement of immunosuppressive therapies and surgical techniques has increased the survival rate after heart transplantation. Nevertheless, a large number of patients still experience complications, such as allograft rejection, vasculopathy, kidney dysfunction, and diabetes in response to immunosuppressive therapy. Variants in HLA genes have been extensively studied for their role in clinical outcomes after transplantation, whereas the knowledge about non-HLA genetic variants in this setting is still limited. Non-HLA polymorphisms are involved in the metabolism of major immunosuppressive therapeutics and may play a role in clinical outcomes after cardiac transplantation. This systematic review summarizes the existing knowledge of associations between non-HLA genetic variation and heart transplant outcomes. METHODS:The current evidence available on genetic polymorphisms associated with outcomes after heart transplantation was identified by a systematic search in PubMed and Embase. Studies reporting on polymorphisms significantly associated with clinical outcomes after cardiac transplantation were included. RESULTS:are consistently replicated across multiple studies for various transplant outcomes. CONCLUSIONS:The research currently available supports the hypothesis that non-HLA polymorphisms are associated with clinical outcomes after heart transplantation. However, many genetic variants were only identified in a single study, questioning their true effect on the clinical outcomes tested. Further research in larger cohorts with well-defined phenotypes is warranted.
PMCID:6415970
PMID: 30882026
ISSN: 2373-8731
CID: 5478702

Efficient region-based test strategy uncovers genetic risk factors for functional outcome in bipolar disorder

Budde, Monika; Friedrichs, Stefanie; Alliey-Rodriguez, Ney; Ament, Seth; Badner, Judith A; Berrettini, Wade H; Bloss, Cinnamon S; Byerley, William; Cichon, Sven; Comes, Ashley L; Coryell, William; Craig, David W; Degenhardt, Franziska; Edenberg, Howard J; Foroud, Tatiana; Forstner, Andreas J; Frank, Josef; Gershon, Elliot S; Goes, Fernando S; Greenwood, Tiffany A; Guo, Yiran; Hipolito, Maria; Hood, Leroy; Keating, Brendan J; Koller, Daniel L; Lawson, William B; Liu, Chunyu; Mahon, Pamela B; McInnis, Melvin G; McMahon, Francis J; Meier, Sandra M; Mühleisen, Thomas W; Murray, Sarah S; Nievergelt, Caroline M; Nurnberger, John I; Nwulia, Evaristus A; Potash, James B; Quarless, Danjuma; Rice, John; Roach, Jared C; Scheftner, William A; Schork, Nicholas J; Shekhtman, Tatyana; Shilling, Paul D; Smith, Erin N; Streit, Fabian; Strohmaier, Jana; Szelinger, Szabolcs; Treutlein, Jens; Witt, Stephanie H; Zandi, Peter P; Zhang, Peng; Zöllner, Sebastian; Bickeböller, Heike; Falkai, Peter G; Kelsoe, John R; Nöthen, Markus M; Rietschel, Marcella; Schulze, Thomas G; Malzahn, Dörthe
Genome-wide association studies of case-control status have advanced the understanding of the genetic basis of psychiatric disorders. Further progress may be gained by increasing sample size but also by new analysis strategies that advance the exploitation of existing data, especially for clinically important quantitative phenotypes. The functionally-informed efficient region-based test strategy (FIERS) introduced herein uses prior knowledge on biological function and dependence of genotypes within a powerful statistical framework with improved sensitivity and specificity for detecting consistent genetic effects across studies. As proof of concept, FIERS was used for the first genome-wide single nucleotide polymorphism (SNP)-based investigation on bipolar disorder (BD) that focuses on an important aspect of disease course, the functional outcome. FIERS identified a significantly associated locus on chromosome 15 (hg38: chr15:48965004 - 49464789 bp) with consistent effect strength between two independent studies (GAIN/TGen: European Americans, BOMA: Germans; n = 1592 BD patients in total). Protective and risk haplotypes were found on the most strongly associated SNPs. They contain a CTCF binding site (rs586758); CTCF sites are known to regulate sets of genes within a chromatin domain. The rs586758 - rs2086256 - rs1904317 haplotype is located in the promoter flanking region of the COPS2 gene, close to microRNA4716, and the EID1, SHC4, DTWD1 genes as plausible biological candidates. While implication with BD is novel, COPS2, EID1, and SHC4 are known to be relevant for neuronal differentiation and function and DTWD1 for psychopharmacological side effects. The test strategy FIERS that enabled this discovery is equally applicable for tag SNPs and sequence data.
PMID: 30503783
ISSN: 1873-7862
CID: 5478672