Literature DB >> 29905378

Generalization and fine mapping of red blood cell trait genetic associations to multi-ethnic populations: The PAGE Study.

Chani Jo Hodonsky1, Claudia Schurmann2,3, Ursula M Schick2,3,4, Jonathan Kocarnik4, Ran Tao5, Frank Ja van Rooij6, Christina Wassel7, Steve Buyske8, Myriam Fornage9, Lucia A Hindorff10, James S Floyd11,12, Santhi K Ganesh13,14, Dan-Yu Lin15, Kari E North1, Alex P Reiner4,12, Ruth Jf Loos2,3, Charles Kooperberg4, Christy L Avery1,16.   

Abstract

Red blood cell (RBC) traits provide insight into a wide range of physiological states and exhibit moderate to high heritability, making them excellent candidates for genetic studies to inform underlying biologic mechanisms. Previous RBC trait genome-wide association studies were performed primarily in European- or Asian-ancestry populations, missing opportunities to inform understanding of RBC genetic architecture in diverse populations and reduce intervals surrounding putative functional SNPs through fine-mapping. Here, we report the first fine-mapping of six correlated (Pearson's r range: |0.04 - 0.92|) RBC traits in up to 19,036 African Americans and 19,562 Hispanic/Latinos participants of the Population Architecture using Genomics and Epidemiology (PAGE) consortium. Trans-ethnic meta-analysis of race/ethnic- and study-specific estimates for approximately 11,000 SNPs flanking 13 previously identified association signals as well as 150,000 additional array-wide SNPs was performed using inverse-variance meta-analysis after adjusting for study and clinical covariates. Approximately half of previously reported index SNP-RBC trait associations generalized to the trans-ethnic study population (p<1.7x10-4 ); previously unreported independent association signals within the ABO region reinforce the potential for multiple functional variants affecting the same locus. Trans-ethnic fine-mapping did not reveal additional signals at the HFE locus independent of the known functional variants. Finally, we identified a potential novel association in the Hispanic/Latino study population at the HECTD4/RPL6 locus for RBC count (p=1.9x10-7 ). The identification of a previously unknown association, generalization of a large proportion of known association signals, and refinement of known association signals all exemplify the benefits of genetic studies in diverse populations. This article is protected by copyright. All rights reserved.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  Genomics; RBC traits; fine-mapping; generalization; trans-ethnic meta-analysis

Year:  2018        PMID: 29905378      PMCID: PMC6300146          DOI: 10.1002/ajh.25161

Source DB:  PubMed          Journal:  Am J Hematol        ISSN: 0361-8609            Impact factor:   13.265


  74 in total

1.  Compact, universal DNA microarrays to comprehensively determine transcription-factor binding site specificities.

Authors:  Michael F Berger; Anthony A Philippakis; Aaron M Qureshi; Fangxue S He; Preston W Estep; Martha L Bulyk
Journal:  Nat Biotechnol       Date:  2006-09-24       Impact factor: 54.908

2.  Variation in homeodomain DNA binding revealed by high-resolution analysis of sequence preferences.

Authors:  Michael F Berger; Gwenael Badis; Andrew R Gehrke; Shaheynoor Talukder; Anthony A Philippakis; Lourdes Peña-Castillo; Trevis M Alleyne; Sanie Mnaimneh; Olga B Botvinnik; Esther T Chan; Faiqua Khalid; Wen Zhang; Daniel Newburger; Savina A Jaeger; Quaid D Morris; Martha L Bulyk; Timothy R Hughes
Journal:  Cell       Date:  2008-06-27       Impact factor: 41.582

3.  Improved methods for multi-trait fine mapping of pleiotropic risk loci.

Authors:  Gleb Kichaev; Megan Roytman; Ruth Johnson; Eleazar Eskin; Sara Lindström; Peter Kraft; Bogdan Pasaniuc
Journal:  Bioinformatics       Date:  2016-09-22       Impact factor: 6.937

Review 4.  Hemoglobin switching's surprise: the versatile transcription factor BCL11A is a master repressor of fetal hemoglobin.

Authors:  Daniel E Bauer; Stuart H Orkin
Journal:  Curr Opin Genet Dev       Date:  2015-09-14       Impact factor: 5.578

5.  The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators.

Authors: 
Journal:  Am J Epidemiol       Date:  1989-04       Impact factor: 4.897

6.  BLUEPRINT to decode the epigenetic signature written in blood.

Authors:  David Adams; Lucia Altucci; Stylianos E Antonarakis; Juan Ballesteros; Stephan Beck; Adrian Bird; Christoph Bock; Bernhard Boehm; Elias Campo; Andrea Caricasole; Fredrik Dahl; Emmanouil T Dermitzakis; Tariq Enver; Manel Esteller; Xavier Estivill; Anne Ferguson-Smith; Jude Fitzgibbon; Paul Flicek; Claudia Giehl; Thomas Graf; Frank Grosveld; Roderic Guigo; Ivo Gut; Kristian Helin; Jonas Jarvius; Ralf Küppers; Hans Lehrach; Thomas Lengauer; Åke Lernmark; David Leslie; Markus Loeffler; Elizabeth Macintyre; Antonello Mai; Joost H A Martens; Saverio Minucci; Willem H Ouwehand; Pier Giuseppe Pelicci; Hèléne Pendeville; Bo Porse; Vardhman Rakyan; Wolf Reik; Martin Schrappe; Dirk Schübeler; Martin Seifert; Reiner Siebert; David Simmons; Nicole Soranzo; Salvatore Spicuglia; Michael Stratton; Hendrik G Stunnenberg; Amos Tanay; David Torrents; Alfonso Valencia; Edo Vellenga; Martin Vingron; Jörn Walter; Spike Willcocks
Journal:  Nat Biotechnol       Date:  2012-03-07       Impact factor: 54.908

7.  Performance of genotype imputation for rare variants identified in exons and flanking regions of genes.

Authors:  Li Li; Yun Li; Sharon R Browning; Brian L Browning; Andrew J Slater; Xiangyang Kong; Jennifer L Aponte; Vincent E Mooser; Stephanie L Chissoe; John C Whittaker; Matthew R Nelson; Margaret Gelder Ehm
Journal:  PLoS One       Date:  2011-09-19       Impact factor: 3.240

8.  ClinVar: public archive of relationships among sequence variation and human phenotype.

Authors:  Melissa J Landrum; Jennifer M Lee; George R Riley; Wonhee Jang; Wendy S Rubinstein; Deanna M Church; Donna R Maglott
Journal:  Nucleic Acids Res       Date:  2013-11-14       Impact factor: 16.971

9.  HaploReg v4: systematic mining of putative causal variants, cell types, regulators and target genes for human complex traits and disease.

Authors:  Lucas D Ward; Manolis Kellis
Journal:  Nucleic Acids Res       Date:  2015-12-10       Impact factor: 16.971

10.  Bivariate genome-wide association study identifies novel pleiotropic loci for lipids and inflammation.

Authors:  Symen Ligthart; Ahmad Vaez; Yi-Hsiang Hsu; Ronald Stolk; André G Uitterlinden; Albert Hofman; Behrooz Z Alizadeh; Oscar H Franco; Abbas Dehghan
Journal:  BMC Genomics       Date:  2016-06-10       Impact factor: 3.969

View more
  3 in total

1.  Whole-genome sequencing association analysis of quantitative red blood cell phenotypes: The NHLBI TOPMed program.

Authors:  Yao Hu; Adrienne M Stilp; Caitlin P McHugh; Shuquan Rao; Deepti Jain; Xiuwen Zheng; John Lane; Sébastian Méric de Bellefon; Laura M Raffield; Ming-Huei Chen; Lisa R Yanek; Marsha Wheeler; Yao Yao; Chunyan Ren; Jai Broome; Jee-Young Moon; Paul S de Vries; Brian D Hobbs; Quan Sun; Praveen Surendran; Jennifer A Brody; Thomas W Blackwell; Hélène Choquet; Kathleen Ryan; Ravindranath Duggirala; Nancy Heard-Costa; Zhe Wang; Nathalie Chami; Michael H Preuss; Nancy Min; Lynette Ekunwe; Leslie A Lange; Mary Cushman; Nauder Faraday; Joanne E Curran; Laura Almasy; Kousik Kundu; Albert V Smith; Stacey Gabriel; Jerome I Rotter; Myriam Fornage; Donald M Lloyd-Jones; Ramachandran S Vasan; Nicholas L Smith; Kari E North; Eric Boerwinkle; Lewis C Becker; Joshua P Lewis; Goncalo R Abecasis; Lifang Hou; Jeffrey R O'Connell; Alanna C Morrison; Terri H Beaty; Robert Kaplan; Adolfo Correa; John Blangero; Eric Jorgenson; Bruce M Psaty; Charles Kooperberg; Russell T Walton; Benjamin P Kleinstiver; Hua Tang; Ruth J F Loos; Nicole Soranzo; Adam S Butterworth; Debbie Nickerson; Stephen S Rich; Braxton D Mitchell; Andrew D Johnson; Paul L Auer; Yun Li; Rasika A Mathias; Guillaume Lettre; Nathan Pankratz; Cathy C Laurie; Cecelia A Laurie; Daniel E Bauer; Matthew P Conomos; Alexander P Reiner
Journal:  Am J Hum Genet       Date:  2021-04-21       Impact factor: 11.025

Review 2.  Revisiting the malaria hypothesis: accounting for polygenicity and pleiotropy.

Authors:  Emily R Ebel; Lawrence H Uricchio; Dmitri A Petrov; Elizabeth S Egan
Journal:  Trends Parasitol       Date:  2022-01-19

3.  A phenome-wide association study (PheWAS) in the Population Architecture using Genomics and Epidemiology (PAGE) study reveals potential pleiotropy in African Americans.

Authors:  Sarah A Pendergrass; Steven Buyske; Janina M Jeff; Alex Frase; Scott Dudek; Yuki Bradford; Jose-Luis Ambite; Christy L Avery; Petra Buzkova; Ewa Deelman; Megan D Fesinmeyer; Christopher Haiman; Gerardo Heiss; Lucia A Hindorff; Chun-Nan Hsu; Rebecca D Jackson; Yi Lin; Loic Le Marchand; Tara C Matise; Kristine R Monroe; Larry Moreland; Kari E North; Sungshim L Park; Alex Reiner; Robert Wallace; Lynne R Wilkens; Charles Kooperberg; Marylyn D Ritchie; Dana C Crawford
Journal:  PLoS One       Date:  2019-12-31       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.