Literature DB >> 26577045

Evaluation of power of the Illumina HumanOmni5M-4v1 BeadChip to detect risk variants for human complex diseases.

Chuanhua Xing1, Jie Huang2, Yi-Hsiang Hsu3,4,5, Anita L DeStefano1,6,7, Nancy L Heard-Costa6,7, Philip A Wolf6,7, Sudha Seshadri6,7, Douglas P Kiel3,4, L Adrienne Cupples1,7, Josée Dupuis1,7.   

Abstract

Although emerging sequencing technologies can characterize all genetic variants, the cost is still high. Illumina released the HumanOmni5M-4v1 (Omni5) genotype array with ~4.3M assayed SNPs, a much denser array compared with other available arrays. The Omni5 balances both cost and array density. In this article, we illustrate the power of Omni5 to detect genetic associations. The Omni5 includes variants with a wide range of minor allele frequencies down to <1%. The theoretical power calculation examples indicate the increased power of the Omni5 array compared with other arrays with lower density when evaluating associations with some known loci, although there are exceptions. We further evaluate the genetic associations between known loci and several quantitative traits in the Framingham Heart Study: femoral neck bone mineral density, lumbar spine bone mineral density and hippocampal volume. Finally, we search genome wide for novel associations using the Omni5 genotypes. We compare our association results from Affymetrix 500K+MIPS 50K arrays and two imputed data sets: (1) HapMap Phase II and (2) 1000 Genomes reference panel. We observed increased evidence for genotype-phenotype associations with smaller P-values for selected known loci using the Omni5 genotypes. With limited sample sizes, we identify novel variants with genome-wide significant P-values. Our observations support the notion that dense genotyping using the Omni5 can be powerful in detecting novel associated variants. Comparison with imputed data with higher density also suggests that imputation helps but cannot replace genotyping, especially when imputation quality is low.

Entities:  

Mesh:

Year:  2015        PMID: 26577045      PMCID: PMC5070895          DOI: 10.1038/ejhg.2015.244

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  16 in total

1.  Prospects for whole-genome linkage disequilibrium mapping of common disease genes.

Authors:  L Kruglyak
Journal:  Nat Genet       Date:  1999-06       Impact factor: 38.330

Review 2.  Genotype imputation for genome-wide association studies.

Authors:  Jonathan Marchini; Bryan Howie
Journal:  Nat Rev Genet       Date:  2010-07       Impact factor: 53.242

3.  Evaluating coverage of genome-wide association studies.

Authors:  Jeffrey C Barrett; Lon R Cardon
Journal:  Nat Genet       Date:  2006-05-21       Impact factor: 38.330

4.  Evaluating and improving power in whole-genome association studies using fixed marker sets.

Authors:  Itsik Pe'er; Paul I W de Bakker; Julian Maller; Roman Yelensky; David Altshuler; Mark J Daly
Journal:  Nat Genet       Date:  2006-05-21       Impact factor: 38.330

5.  Estimating coverage and power for genetic association studies using near-complete variation data.

Authors:  Tushar R Bhangale; Mark J Rieder; Deborah A Nickerson
Journal:  Nat Genet       Date:  2008-06-22       Impact factor: 38.330

Review 6.  Linkage disequilibrium in humans: models and data.

Authors:  J K Pritchard; M Przeworski
Journal:  Am J Hum Genet       Date:  2001-06-14       Impact factor: 11.025

Review 7.  Genotype imputation.

Authors:  Yun Li; Cristen Willer; Serena Sanna; Gonçalo Abecasis
Journal:  Annu Rev Genomics Hum Genet       Date:  2009       Impact factor: 8.929

8.  Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture.

Authors:  Karol Estrada; Unnur Styrkarsdottir; Evangelos Evangelou; Yi-Hsiang Hsu; Emma L Duncan; Evangelia E Ntzani; Ling Oei; Omar M E Albagha; Najaf Amin; John P Kemp; Daniel L Koller; Guo Li; Ching-Ti Liu; Ryan L Minster; Alireza Moayyeri; Liesbeth Vandenput; Dana Willner; Su-Mei Xiao; Laura M Yerges-Armstrong; Hou-Feng Zheng; Nerea Alonso; Joel Eriksson; Candace M Kammerer; Stephen K Kaptoge; Paul J Leo; Gudmar Thorleifsson; Scott G Wilson; James F Wilson; Ville Aalto; Markku Alen; Aaron K Aragaki; Thor Aspelund; Jacqueline R Center; Zoe Dailiana; David J Duggan; Melissa Garcia; Natàlia Garcia-Giralt; Sylvie Giroux; Göran Hallmans; Lynne J Hocking; Lise Bjerre Husted; Karen A Jameson; Rita Khusainova; Ghi Su Kim; Charles Kooperberg; Theodora Koromila; Marcin Kruk; Marika Laaksonen; Andrea Z Lacroix; Seung Hun Lee; Ping C Leung; Joshua R Lewis; Laura Masi; Simona Mencej-Bedrac; Tuan V Nguyen; Xavier Nogues; Millan S Patel; Janez Prezelj; Lynda M Rose; Serena Scollen; Kristin Siggeirsdottir; Albert V Smith; Olle Svensson; Stella Trompet; Olivia Trummer; Natasja M van Schoor; Jean Woo; Kun Zhu; Susana Balcells; Maria Luisa Brandi; Brendan M Buckley; Sulin Cheng; Claus Christiansen; Cyrus Cooper; George Dedoussis; Ian Ford; Morten Frost; David Goltzman; Jesús González-Macías; Mika Kähönen; Magnus Karlsson; Elza Khusnutdinova; Jung-Min Koh; Panagoula Kollia; Bente Lomholt Langdahl; William D Leslie; Paul Lips; Östen Ljunggren; Roman S Lorenc; Janja Marc; Dan Mellström; Barbara Obermayer-Pietsch; José M Olmos; Ulrika Pettersson-Kymmer; David M Reid; José A Riancho; Paul M Ridker; François Rousseau; P Eline Slagboom; Nelson L S Tang; Roser Urreizti; Wim Van Hul; Jorma Viikari; María T Zarrabeitia; Yurii S Aulchenko; Martha Castano-Betancourt; Elin Grundberg; Lizbeth Herrera; Thorvaldur Ingvarsson; Hrefna Johannsdottir; Tony Kwan; Rui Li; Robert Luben; Carolina Medina-Gómez; Stefan Th Palsson; Sjur Reppe; Jerome I Rotter; Gunnar Sigurdsson; Joyce B J van Meurs; Dominique Verlaan; Frances M K Williams; Andrew R Wood; Yanhua Zhou; Kaare M Gautvik; Tomi Pastinen; Soumya Raychaudhuri; Jane A Cauley; Daniel I Chasman; Graeme R Clark; Steven R Cummings; Patrick Danoy; Elaine M Dennison; Richard Eastell; John A Eisman; Vilmundur Gudnason; Albert Hofman; Rebecca D Jackson; Graeme Jones; J Wouter Jukema; Kay-Tee Khaw; Terho Lehtimäki; Yongmei Liu; Mattias Lorentzon; Eugene McCloskey; Braxton D Mitchell; Kannabiran Nandakumar; Geoffrey C Nicholson; Ben A Oostra; Munro Peacock; Huibert A P Pols; Richard L Prince; Olli Raitakari; Ian R Reid; John Robbins; Philip N Sambrook; Pak Chung Sham; Alan R Shuldiner; Frances A Tylavsky; Cornelia M van Duijn; Nick J Wareham; L Adrienne Cupples; Michael J Econs; David M Evans; Tamara B Harris; Annie Wai Chee Kung; Bruce M Psaty; Jonathan Reeve; Timothy D Spector; Elizabeth A Streeten; M Carola Zillikens; Unnur Thorsteinsdottir; Claes Ohlsson; David Karasik; J Brent Richards; Matthew A Brown; Kari Stefansson; André G Uitterlinden; Stuart H Ralston; John P A Ioannidis; Douglas P Kiel; Fernando Rivadeneira
Journal:  Nat Genet       Date:  2012-04-15       Impact factor: 38.330

9.  The extent of linkage disequilibrium in four populations with distinct demographic histories.

Authors:  A M Dunning; F Durocher; C S Healey; M D Teare; S E McBride; F Carlomagno; C F Xu; E Dawson; S Rhodes; S Ueda; E Lai; R N Luben; E J Van Rensburg; A Mannermaa; V Kataja; G Rennart; I Dunham; I Purvis; D Easton; B A Ponder
Journal:  Am J Hum Genet       Date:  2000-11-14       Impact factor: 11.043

10.  An integrated map of genetic variation from 1,092 human genomes.

Authors:  Goncalo R Abecasis; Adam Auton; Lisa D Brooks; Mark A DePristo; Richard M Durbin; Robert E Handsaker; Hyun Min Kang; Gabor T Marth; Gil A McVean
Journal:  Nature       Date:  2012-11-01       Impact factor: 49.962

View more
  1 in total

Review 1.  Benefits and limitations of genome-wide association studies.

Authors:  Vivian Tam; Nikunj Patel; Michelle Turcotte; Yohan Bossé; Guillaume Paré; David Meyre
Journal:  Nat Rev Genet       Date:  2019-08       Impact factor: 53.242

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.