Comparing Algorithms for Genotype Imputation

Slides:



Advertisements
Similar presentations
Previous Estimates of Mitochondrial DNA Mutation Level Variance Did Not Account for Sampling Error: Comparing the mtDNA Genetic Bottleneck in Mice and.
Advertisements

Connexin Mutations in Skin Disease and Hearing Loss David P. Kelsell, Wei-Li Di, Mark J. Houseman The American Journal of Human Genetics Volume 68, Issue.
Functional Analysis of the Neurofibromatosis Type 2 Protein by Means of Disease- Causing Point Mutations Renee P. Stokowski, David R. Cox The American.
Gene Preference in Maple Syrup Urine Disease Mary M. Nellis, Dean J. Danner The American Journal of Human Genetics Volume 68, Issue 1, Pages (January.
Alternative Splicing QTLs in European and African Populations Halit Ongen, Emmanouil T. Dermitzakis The American Journal of Human Genetics Volume 97, Issue.
Fragile X and X-Linked Intellectual Disability: Four Decades of Discovery Herbert A. Lubs, Roger E. Stevenson, Charles E. Schwartz The American Journal.
Recurrent CNVs Disrupt Three Candidate Genes in Schizophrenia Patients
Rapid Simulation of P Values for Product Methods and Multiple-Testing Adjustment in Association Studies  S.R. Seaman, B. Müller-Myhsok  The American Journal.
Genetic Association Analysis under Complex Survey Sampling: The Hispanic Community Health Study/Study of Latinos  Dan-Yu Lin, Ran Tao, William D. Kalsbeek,
Optimized Group Sequential Study Designs for Tests of Genetic Linkage and Association in Complex Diseases  Inke R. König, Helmut Schäfer, Hans-Helge Müller,
2016 Curt Stern Award Address: From Rare to Common Diseases: Translating Genetic Discovery to Therapy1  Brendan Lee  The American Journal of Human Genetics 
Meta-analysis of Genetic-Linkage Analysis of Quantitative-Trait Loci
Haplotype Estimation Using Sequencing Reads
Linkage Thresholds for Two-stage Genome Scans
A Combined Linkage-Physical Map of the Human Genome
Miao-Xin Li, Hong-Sheng Gui, Johnny S.H. Kwan, Pak C. Sham 
The American Journal of Human Genetics 
Rounak Dey, Ellen M. Schmidt, Goncalo R. Abecasis, Seunggeun Lee 
Genetic Association Analysis under Complex Survey Sampling: The Hispanic Community Health Study/Study of Latinos  Dan-Yu Lin, Ran Tao, William D. Kalsbeek,
Weight Loss after Gastric Bypass Is Associated with a Variant at 15q26
Arpita Ghosh, Fei Zou, Fred A. Wright 
Multilocus Bayesian Meta-Analysis of Gene-Disease Associations
HYST: A Hybrid Set-Based Test for Genome-wide Association Studies, with Application to Protein-Protein Interaction-Based Association Analysis  Miao-Xin.
Variant Association Tools for Quality Control and Analysis of Large-Scale Sequence and Genotyping Array Data  Gao T. Wang, Bo Peng, Suzanne M. Leal  The.
A Flexible Bayesian Framework for Modeling Haplotype Association with Disease, Allowing for Dominance Effects of the Underlying Causative Variants  Andrew.
Transethnic Genetic-Correlation Estimates from Summary Statistics
Random-Effects Model Aimed at Discovering Associations in Meta-Analysis of Genome- wide Association Studies  Buhm Han, Eleazar Eskin  The American Journal.
Sherlock: Detecting Gene-Disease Associations by Matching Patterns of Expression QTL and GWAS  Xin He, Chris K. Fuller, Yi Song, Qingying Meng, Bin Zhang,
Sang Hong Lee, Naomi R. Wray, Michael E. Goddard, Peter M. Visscher 
Structural Architecture of SNP Effects on Complex Traits
A Weighted False Discovery Rate Control Procedure Reveals Alleles at FOXA2 that Influence Fasting Glucose Levels  Chao Xing, Jonathan C. Cohen, Eric Boerwinkle 
Studying Gene and Gene-Environment Effects of Uncommon and Common Variants on Continuous Traits: A Marker-Set Approach Using Gene-Trait Similarity Regression 
Mendelian Randomization Analysis Identifies CpG Sites as Putative Mediators for Genetic Influences on Cardiovascular Disease Risk  Tom G. Richardson,
Simultaneous Genotype Calling and Haplotype Phasing Improves Genotype Accuracy and Reduces False-Positive Associations for Genome-wide Association Studies 
Integrating Autoimmune Risk Loci with Gene-Expression Data Identifies Specific Pathogenic Immune Cell Subsets  Xinli Hu, Hyun Kim, Eli Stahl, Robert Plenge,
Genotype Imputation with Millions of Reference Samples
10 Years of GWAS Discovery: Biology, Function, and Translation
Accurate Non-parametric Estimation of Recent Effective Population Size from Segments of Identity by Descent  Sharon R. Browning, Brian L. Browning  The.
Johanna Jakobsdottir, Mary Sara McPeek 
Dan-Yu Lin, Zheng-Zheng Tang  The American Journal of Human Genetics 
The SNP Endgame: A Multidisciplinary Approach*
Erratum The American Journal of Human Genetics
Estimating Genetic Effects and Quantifying Missing Heritability Explained by Identified Rare-Variant Associations  Dajiang J. Liu, Suzanne M. Leal  The.
A Unified Approach to Genotype Imputation and Haplotype-Phase Inference for Large Data Sets of Trios and Unrelated Individuals  Brian L. Browning, Sharon.
Gad Kimmel, Ron Shamir  The American Journal of Human Genetics 
Imputing Phenotypes for Genome-wide Association Studies
Stephen Leslie, Peter Donnelly, Gil McVean 
Increasing the Power and Efficiency of Disease-Marker Case-Control Association Studies through Use of Allele-Sharing Information  Tasha E. Fingerlin,
Richard Howey, Chrysovalanto Mamasoula, Ana Töpf, Ron Nudel, Judith A
Wei Pan, Il-Youp Kwak, Peng Wei  The American Journal of Human Genetics 
Jared R. Kohler, David J. Cutler 
L-GATOR: Genetic Association Testing for a Longitudinally Measured Quantitative Trait in Samples with Related Individuals  Xiaowei Wu, Mary Sara McPeek 
Trevor J. Pemberton, Chaolong Wang, Jun Z. Li, Noah A. Rosenberg 
Genome-Wide Association Study of Generalized Vitiligo in an Isolated European Founder Population Identifies SMOC2, in Close Proximity to IDDM8   Stanca.
Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Xiaodan Fan, Nelson L. S
Genome-wide Linkage and Association Analyses Implicate FASN in Predisposition to Uterine Leiomyomata  Stacey L. Eggert, Karen L. Huyck, Priya Somasundaram,
Inclusion of Gene-Gene and Gene-Environment Interactions Unlikely to Dramatically Improve Risk Prediction for Complex Diseases  Hugues Aschard, Jinbo.
Efficient Computation of Significance Levels for Multiple Associations in Large Studies of Correlated Data, Including Genomewide Association Studies 
Tao Wang, Robert C. Elston  The American Journal of Human Genetics 
Iuliana Ionita-Laza, Seunggeun Lee, Vlad Makarov, Joseph D
Evaluating the Effects of Imputation on the Power, Coverage, and Cost Efficiency of Genome-wide SNP Platforms  Carl A. Anderson, Fredrik H. Pettersson,
Detection and Integration of Genotyping Errors in Statistical Genetics
Harold A. Nieuwboer, René Pool, Conor V. Dolan, Dorret I
Alice S. Whittemore, Jerry Halpern 
Sanjay Shete, Xiaojun Zhou, Christopher I. Amos 
Zuoheng Wang, Mary Sara McPeek  The American Journal of Human Genetics 
Michael P. Epstein, Richard Duncan, Erin B. Ware, Min A
Beyond GWASs: Illuminating the Dark Road from Association to Function
Robust Replication of Genotype-Phenotype Associations across Multiple Diseases in an Electronic Medical Record  Marylyn D. Ritchie, Joshua C. Denny, Dana.
Genome-wide High-Density SNP-Based Linkage Analysis of Infantile Hypertrophic Pyloric Stenosis Identifies Loci on Chromosomes 11q14-q22 and Xq23  Kate.
Presentation transcript:

Comparing Algorithms for Genotype Imputation Jonathan Marchini, Bryan Howie  The American Journal of Human Genetics  Volume 83, Issue 4, Pages 535-539 (October 2008) DOI: 10.1016/j.ajhg.2008.09.007 Copyright © 2008 The American Society of Human Genetics Terms and Conditions

Figure 1 Results of Running IMPUTE/SNPTEST and SNPMStat on the Simulated Data Set Provided with the SNPMStat Software This data set was designed to mimic a real Rheumatoid Arthritis study7 and consists of data at 100 SNPs in 1000 cases and 1000 controls. Black dots represent tests at genotyped SNPs, and red dots represent tests at imputed SNPs. Test statistics are plotted on the −log10 p value scale. Both programs were run under the assumption of an additive model of association. The right-hand plot shows the test statistics of both methods plotted against each other at all genotyped and imputed SNPs. The American Journal of Human Genetics 2008 83, 535-539DOI: (10.1016/j.ajhg.2008.09.007) Copyright © 2008 The American Society of Human Genetics Terms and Conditions

Figure 2 Results of Running IMPUTE/SNPTEST and SNPMStat on a Data Set Simulated with the HAPGEN Program The data set consists of 500 cases and 500 controls at 300 SNPs on the Affymetrix 500k chip from a region on chromosome 20. Black dots represent tests at genotyped SNPs, and red dots represent tests at imputed SNPs. Test statistics are plotted on the −log10 p value scale. Both programs were run under the assumption of an additive model of association. The right-hand plot shows the test statistics of both methods plotted against each other at all genotyped and imputed SNPs. The American Journal of Human Genetics 2008 83, 535-539DOI: (10.1016/j.ajhg.2008.09.007) Copyright © 2008 The American Society of Human Genetics Terms and Conditions

Figure 3 Results of Running IMPUTE/SNPTEST and SNPMStat on a Real Data Set in a Region Shown to be Associated with Crohn's Disease in the WTCCC Study5 This data set consists of 2938 controls and 1758 cases at 181 of the SNPs on the Affymetrix 500k chip in a 1 Mb region of chromosome 1. Black dots represent tests at genotyped SNPs, and red dots represent tests at imputed SNPs. Test statistics are plotted on the −log10 p value scale. Both programs were run under the assumption of an additive model of association. The right-hand plot shows the test statistics of both methods plotted against each other at all genotyped and imputed SNPs. The American Journal of Human Genetics 2008 83, 535-539DOI: (10.1016/j.ajhg.2008.09.007) Copyright © 2008 The American Society of Human Genetics Terms and Conditions

Figure 4 An Evaluation of Type I Error of the IMPUTE/SNPTEST Approach HAPGEN was used to simulate a case-control data set consisting of 1000 cases and 1000 controls at all of the SNPs on the Affymetrix 500K chip on chromosome 1 under the null hypothesis of no association. The plot shows the observed −log10 p-values at a random subset of 50,000 of the imputed SNPs versus their expected values under the null. The American Journal of Human Genetics 2008 83, 535-539DOI: (10.1016/j.ajhg.2008.09.007) Copyright © 2008 The American Society of Human Genetics Terms and Conditions