Literature DB >> 24026423

A genome- and phenome-wide association study to identify genetic variants influencing platelet count and volume and their pleiotropic effects.

Khader Shameer1, Joshua C Denny, Keyue Ding, Hayan Jouni, David R Crosslin, Mariza de Andrade, Christopher G Chute, Peggy Peissig, Jennifer A Pacheco, Rongling Li, Lisa Bastarache, Abel N Kho, Marylyn D Ritchie, Daniel R Masys, Rex L Chisholm, Eric B Larson, Catherine A McCarty, Dan M Roden, Gail P Jarvik, Iftikhar J Kullo.   

Abstract

Platelets are enucleated cell fragments derived from megakaryocytes that play key roles in hemostasis and in the pathogenesis of atherothrombosis and cancer. Platelet traits are highly heritable and identification of genetic variants associated with platelet traits and assessing their pleiotropic effects may help to understand the role of underlying biological pathways. We conducted an electronic medical record (EMR)-based study to identify common variants that influence inter-individual variation in the number of circulating platelets (PLT) and mean platelet volume (MPV), by performing a genome-wide association study (GWAS). We characterized genetic variants associated with MPV and PLT using functional, pathway and disease enrichment analyses; we assessed pleiotropic effects of such variants by performing a phenome-wide association study (PheWAS) with a wide range of EMR-derived phenotypes. A total of 13,582 participants in the electronic MEdical Records and GEnomic network had data for PLT and 6,291 participants had data for MPV. We identified five chromosomal regions associated with PLT and eight associated with MPV at genome-wide significance (P < 5E-8). In addition, we replicated 20 SNPs [out of 56 SNPs (α: 0.05/56 = 9E-4)] influencing PLT and 22 SNPs [out of 29 SNPs (α: 0.05/29 = 2E-3)] influencing MPV in a published meta-analysis of GWAS of PLT and MPV. While our GWAS did not find any new associations, our functional analyses revealed that genes in these regions influence thrombopoiesis and encode kinases, membrane proteins, proteins involved in cellular trafficking, transcription factors, proteasome complex subunits, proteins of signal transduction pathways, proteins involved in megakaryocyte development, and platelet production and hemostasis. PheWAS using a single-SNP Bonferroni correction for 1,368 diagnoses (0.05/1368 = 3.6E-5) revealed that several variants in these genes have pleiotropic associations with myocardial infarction, autoimmune, and hematologic disorders. We conclude that multiple genetic loci influence interindividual variation in platelet traits and also have significant pleiotropic effects; the related genes are in multiple functional pathways including those relevant to thrombopoiesis.

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Year:  2013        PMID: 24026423      PMCID: PMC3880605          DOI: 10.1007/s00439-013-1355-7

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  85 in total

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Journal:  Blood       Date:  2010-07-07       Impact factor: 22.113

2.  A genome-wide association study identifies three loci associated with mean platelet volume.

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Journal:  Am J Hum Genet       Date:  2008-12-24       Impact factor: 11.025

3.  The HBS1L-MYB intergenic interval associated with elevated HbF levels shows characteristics of a distal regulatory region in erythroid cells.

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Journal:  Blood       Date:  2009-06-15       Impact factor: 22.113

4.  PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations.

Authors:  Joshua C Denny; Marylyn D Ritchie; Melissa A Basford; Jill M Pulley; Lisa Bastarache; Kristin Brown-Gentry; Deede Wang; Dan R Masys; Dan M Roden; Dana C Crawford
Journal:  Bioinformatics       Date:  2010-03-24       Impact factor: 6.937

Review 5.  Role of platelets in the development of atherosclerosis.

Authors:  Yuqing Huo; Klaus F Ley
Journal:  Trends Cardiovasc Med       Date:  2004-01       Impact factor: 6.677

Review 6.  Exosome: from internal vesicle of the multivesicular body to intercellular signaling device.

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7.  Linking disease associations with regulatory information in the human genome.

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8.  Large scale association analysis identifies three susceptibility loci for coronary artery disease.

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Journal:  PLoS One       Date:  2011-12-27       Impact factor: 3.240

9.  Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk.

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Carl G P Platou; Elin Org; Rebecca Hardy; Santosh Dahgam; Jutta Palmen; Veronique Vitart; Peter S Braund; Tatiana Kuznetsova; Cuno S P M Uiterwaal; Adebowale Adeyemo; Walter Palmas; Harry Campbell; Barbara Ludwig; Maciej Tomaszewski; Ioanna Tzoulaki; Nicholette D Palmer; Thor Aspelund; Melissa Garcia; Yen-Pei C Chang; Jeffrey R O'Connell; Nanette I Steinle; Diederick E Grobbee; Dan E Arking; Sharon L Kardia; Alanna C Morrison; Dena Hernandez; Samer Najjar; Wendy L McArdle; David Hadley; Morris J Brown; John M Connell; Aroon D Hingorani; Ian N M Day; Debbie A Lawlor; John P Beilby; Robert W Lawrence; Robert Clarke; Jemma C Hopewell; Halit Ongen; Albert W Dreisbach; Yali Li; J Hunter Young; Joshua C Bis; Mika Kähönen; Jorma Viikari; Linda S Adair; Nanette R Lee; Ming-Huei Chen; Matthias Olden; Cristian Pattaro; Judith A Hoffman Bolton; Anna Köttgen; Sven Bergmann; Vincent Mooser; Nish Chaturvedi; Timothy M Frayling; Muhammad Islam; Tazeen H Jafar; Jeanette Erdmann; Smita R Kulkarni; Stefan R Bornstein; 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Thomas Meitinger; H-Erich Wichmann; Yoon Shin Cho; Hyung-Lae Kim; Jong-Young Lee; James Scott; Joban S Sehmi; Weihua Zhang; Bo Hedblad; Peter Nilsson; George Davey Smith; Andrew Wong; Narisu Narisu; Alena Stančáková; Leslie J Raffel; Jie Yao; Sekar Kathiresan; Christopher J O'Donnell; Stephen M Schwartz; M Arfan Ikram; W T Longstreth; Thomas H Mosley; Sudha Seshadri; Nick R G Shrine; Louise V Wain; Mario A Morken; Amy J Swift; Jaana Laitinen; Inga Prokopenko; Paavo Zitting; Jackie A Cooper; Steve E Humphries; John Danesh; Asif Rasheed; Anuj Goel; Anders Hamsten; Hugh Watkins; Stephan J L Bakker; Wiek H van Gilst; Charles S Janipalli; K Radha Mani; Chittaranjan S Yajnik; Albert Hofman; Francesco U S Mattace-Raso; Ben A Oostra; Ayse Demirkan; Aaron Isaacs; Fernando Rivadeneira; Edward G Lakatta; Marco Orru; Angelo Scuteri; Mika Ala-Korpela; Antti J Kangas; Leo-Pekka Lyytikäinen; Pasi Soininen; Taru Tukiainen; Peter Würtz; Rick Twee-Hee Ong; Marcus Dörr; Heyo K Kroemer; Uwe Völker; Henry Völzke; Pilar Galan; Serge Hercberg; Mark Lathrop; Diana Zelenika; Panos Deloukas; Massimo Mangino; Tim D Spector; Guangju Zhai; James F Meschia; Michael A Nalls; Pankaj Sharma; Janos Terzic; M V Kranthi Kumar; Matthew Denniff; Ewa Zukowska-Szczechowska; Lynne E Wagenknecht; F Gerald R Fowkes; Fadi J Charchar; Peter E H Schwarz; Caroline Hayward; Xiuqing Guo; Charles Rotimi; Michiel L Bots; Eva Brand; Nilesh J Samani; Ozren Polasek; Philippa J Talmud; Fredrik Nyberg; Diana Kuh; Maris Laan; Kristian Hveem; Lyle J Palmer; Yvonne T van der Schouw; Juan P Casas; Karen L Mohlke; Paolo Vineis; Olli Raitakari; Santhi K Ganesh; Tien Y Wong; E Shyong Tai; Richard S Cooper; Markku Laakso; Dabeeru C Rao; Tamara B Harris; Richard W Morris; Anna F Dominiczak; Mika Kivimaki; Michael G Marmot; Tetsuro Miki; Danish Saleheen; Giriraj R Chandak; Josef Coresh; Gerjan Navis; Veikko Salomaa; Bok-Ghee Han; Xiaofeng Zhu; Jaspal S Kooner; Olle Melander; Paul M Ridker; Stefania Bandinelli; Ulf B Gyllensten; Alan F Wright; James F Wilson; Luigi Ferrucci; Martin Farrall; Jaakko Tuomilehto; Peter P Pramstaller; Roberto Elosua; Nicole Soranzo; Eric J G Sijbrands; David Altshuler; Ruth J F Loos; Alan R Shuldiner; Christian Gieger; Pierre Meneton; Andre G Uitterlinden; Nicholas J Wareham; Vilmundur Gudnason; Jerome I Rotter; Rainer Rettig; Manuela Uda; David P Strachan; Jacqueline C M Witteman; Anna-Liisa Hartikainen; Jacques S Beckmann; Eric Boerwinkle; Ramachandran S Vasan; Michael Boehnke; Martin G Larson; Marjo-Riitta Järvelin; Bruce M Psaty; Gonçalo R Abecasis; Aravinda Chakravarti; Paul Elliott; Cornelia M van Duijn; Christopher Newton-Cheh; Daniel Levy; Mark J Caulfield; Toby Johnson
Journal:  Nature       Date:  2011-09-11       Impact factor: 49.962

10.  Reactome knowledgebase of human biological pathways and processes.

Authors:  Lisa Matthews; Gopal Gopinath; Marc Gillespie; Michael Caudy; David Croft; Bernard de Bono; Phani Garapati; Jill Hemish; Henning Hermjakob; Bijay Jassal; Alex Kanapin; Suzanna Lewis; Shahana Mahajan; Bruce May; Esther Schmidt; Imre Vastrik; Guanming Wu; Ewan Birney; Lincoln Stein; Peter D'Eustachio
Journal:  Nucleic Acids Res       Date:  2008-11-03       Impact factor: 16.971

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  72 in total

Review 1.  Interpreting functional effects of coding variants: challenges in proteome-scale prediction, annotation and assessment.

Authors:  Khader Shameer; Lokesh P Tripathi; Krishna R Kalari; Joel T Dudley; Ramanathan Sowdhamini
Journal:  Brief Bioinform       Date:  2015-10-22       Impact factor: 11.622

2.  Genome-wide Association Study of Platelet Count Identifies Ancestry-Specific Loci in Hispanic/Latino Americans.

Authors:  Ursula M Schick; Deepti Jain; Chani J Hodonsky; Jean V Morrison; James P Davis; Lisa Brown; Tamar Sofer; Matthew P Conomos; Claudia Schurmann; Caitlin P McHugh; Sarah C Nelson; Swarooparani Vadlamudi; Adrienne Stilp; Anna Plantinga; Leslie Baier; Stephanie A Bien; Stephanie M Gogarten; Cecelia A Laurie; Kent D Taylor; Yongmei Liu; Paul L Auer; Nora Franceschini; Adam Szpiro; Ken Rice; Kathleen F Kerr; Jerome I Rotter; Robert L Hanson; George Papanicolaou; Stephen S Rich; Ruth J F Loos; Brian L Browning; Sharon R Browning; Bruce S Weir; Cathy C Laurie; Karen L Mohlke; Kari E North; Timothy A Thornton; Alex P Reiner
Journal:  Am J Hum Genet       Date:  2016-01-21       Impact factor: 11.025

Review 3.  Unravelling the human genome-phenome relationship using phenome-wide association studies.

Authors:  William S Bush; Matthew T Oetjens; Dana C Crawford
Journal:  Nat Rev Genet       Date:  2016-02-15       Impact factor: 53.242

4.  Cross Cancer Genomic Investigation of Inflammation Pathway for Five Common Cancers: Lung, Ovary, Prostate, Breast, and Colorectal Cancer.

Authors:  Rayjean J Hung; Cornelia M Ulrich; Ellen L Goode; Yonathan Brhane; Kenneth Muir; Andrew T Chan; Loic Le Marchand; Joellen Schildkraut; John S Witte; Rosalind Eeles; Paolo Boffetta; Margaret R Spitz; Julia G Poirier; David N Rider; Brooke L Fridley; Zhihua Chen; Christopher Haiman; Fredrick Schumacher; Douglas F Easton; Maria Teresa Landi; Paul Brennan; Richard Houlston; David C Christiani; John K Field; Heike Bickeböller; Angela Risch; Zsofia Kote-Jarai; Fredrik Wiklund; Henrik Grönberg; Stephen Chanock; Sonja I Berndt; Peter Kraft; Sara Lindström; Ali Amin Al Olama; Honglin Song; Catherine Phelan; Nicholas Wentzensen; Ulrike Peters; Martha L Slattery; Thomas A Sellers; Graham Casey; Stephen B Gruber; David J Hunter; Christopher I Amos; Brian Henderson
Journal:  J Natl Cancer Inst       Date:  2015-08-29       Impact factor: 13.506

5.  Electronic health records-driven phenotyping: challenges, recent advances, and perspectives.

Authors:  Jyotishman Pathak; Abel N Kho; Joshua C Denny
Journal:  J Am Med Inform Assoc       Date:  2013-12       Impact factor: 4.497

6.  Dissection of the Major Hematopoietic Quantitative Trait Locus in Chromosome 6q23.3 Identifies miR-3662 as a Player in Hematopoiesis and Acute Myeloid Leukemia.

Authors:  Sophia E Maharry; Christopher J Walker; Sandya Liyanarachchi; Sujay Mehta; Mitra Patel; Maryam A Bainazar; Xiaomeng Huang; Malori A Lankenau; Kevin W Hoag; Parvathi Ranganathan; Ramiro Garzon; James S Blachly; Denis C Guttridge; Clara D Bloomfield; Albert de la Chapelle; Ann-Kathrin Eisfeld
Journal:  Cancer Discov       Date:  2016-06-27       Impact factor: 39.397

Review 7.  The genetic basis of peripheral arterial disease: current knowledge, challenges, and future directions.

Authors:  Iftikhar J Kullo; Nicholas J Leeper
Journal:  Circ Res       Date:  2015-04-24       Impact factor: 17.367

8.  An integrative pipeline for multi-modal discovery of disease relationships.

Authors:  Benjamin S Glicksberg; Li Li; Wei-Yi Cheng; Khader Shameer; Jörg Hakenberg; Rafael Castellanos; Meng Ma; Lisong Shi; Hardik Shah; Joel T Dudley; Rong Chen
Journal:  Pac Symp Biocomput       Date:  2015

9.  Application of clinical text data for phenome-wide association studies (PheWASs).

Authors:  Scott J Hebbring; Majid Rastegar-Mojarad; Zhan Ye; John Mayer; Crystal Jacobson; Simon Lin
Journal:  Bioinformatics       Date:  2015-02-04       Impact factor: 6.937

10.  A Fast and Accurate Algorithm to Test for Binary Phenotypes and Its Application to PheWAS.

Authors:  Rounak Dey; Ellen M Schmidt; Goncalo R Abecasis; Seunggeun Lee
Journal:  Am J Hum Genet       Date:  2017-06-08       Impact factor: 11.025

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