Literature DB >> 19715440

Genotype imputation.

Yun Li1, Cristen Willer, Serena Sanna, Gonçalo Abecasis.   

Abstract

Genotype imputation is now an essential tool in the analysis of genome-wide association scans. This technique allows geneticists to accurately evaluate the evidence for association at genetic markers that are not directly genotyped. Genotype imputation is particularly useful for combining results across studies that rely on different genotyping platforms but also increases the power of individual scans. Here, we review the history and theoretical underpinnings of the technique. To illustrate performance of the approach, we summarize results from several gene mapping studies. Finally, we preview the role of genotype imputation in an era when whole genome resequencing is becoming increasingly common.

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Year:  2009        PMID: 19715440      PMCID: PMC2925172          DOI: 10.1146/annurev.genom.9.081307.164242

Source DB:  PubMed          Journal:  Annu Rev Genomics Hum Genet        ISSN: 1527-8204            Impact factor:   8.929


  115 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  1987-04       Impact factor: 11.205

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  606 in total

1.  Variants within the immunoregulatory CBLB gene are associated with multiple sclerosis.

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Journal:  Nat Genet       Date:  2010-05-09       Impact factor: 38.330

2.  Using the gene ontology to scan multilevel gene sets for associations in genome wide association studies.

Authors:  Daniel J Schaid; Jason P Sinnwell; Gregory D Jenkins; Shannon K McDonnell; James N Ingle; Michiaki Kubo; Paul E Goss; Joseph P Costantino; D Lawrence Wickerham; Richard M Weinshilboum
Journal:  Genet Epidemiol       Date:  2011-12-07       Impact factor: 2.135

3.  Association of CR1, CLU and PICALM with Alzheimer's disease in a cohort of clinically characterized and neuropathologically verified individuals.

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Journal:  Hum Mol Genet       Date:  2010-06-09       Impact factor: 6.150

4.  Mammographic breast density and breast cancer: evidence of a shared genetic basis.

Authors:  Jajini S Varghese; Deborah J Thompson; Kyriaki Michailidou; Sara Lindström; Clare Turnbull; Judith Brown; Jean Leyland; Ruth M L Warren; Robert N Luben; Ruth J Loos; Nicholas J Wareham; Johanna Rommens; Andrew D Paterson; Lisa J Martin; Celine M Vachon; Christopher G Scott; Elizabeth J Atkinson; Fergus J Couch; Carmel Apicella; Melissa C Southey; Jennifer Stone; Jingmei Li; Louise Eriksson; Kamila Czene; Norman F Boyd; Per Hall; John L Hopper; Rulla M Tamimi; Nazneen Rahman; Douglas F Easton
Journal:  Cancer Res       Date:  2012-01-19       Impact factor: 12.701

5.  Genetic associations for activated partial thromboplastin time and prothrombin time, their gene expression profiles, and risk of coronary artery disease.

Authors:  Weihong Tang; Christine Schwienbacher; Lorna M Lopez; Yoav Ben-Shlomo; Tiphaine Oudot-Mellakh; Andrew D Johnson; Nilesh J Samani; Saonli Basu; Martin Gögele; Gail Davies; Gordon D O Lowe; David-Alexandre Tregouet; Adrian Tan; James S Pankow; Albert Tenesa; Daniel Levy; Claudia B Volpato; Ann Rumley; Alan J Gow; Cosetta Minelli; John W G Yarnell; David J Porteous; John M Starr; John Gallacher; Eric Boerwinkle; Peter M Visscher; Peter P Pramstaller; Mary Cushman; Valur Emilsson; Andrew S Plump; Nena Matijevic; Pierre-Emmanuel Morange; Ian J Deary; Andrew A Hicks; Aaron R Folsom
Journal:  Am J Hum Genet       Date:  2012-06-14       Impact factor: 11.025

6.  Founder population-specific HapMap panel increases power in GWA studies through improved imputation accuracy and CNV tagging.

Authors:  Ida Surakka; Kati Kristiansson; Verneri Anttila; Michael Inouye; Chris Barnes; Loukas Moutsianas; Veikko Salomaa; Mark Daly; Aarno Palotie; Leena Peltonen; Samuli Ripatti
Journal:  Genome Res       Date:  2010-09-01       Impact factor: 9.043

7.  SNP-skimming: A fast approach to map loci generating quantitative variation in natural populations.

Authors:  Carolyn A Wessinger; John K Kelly; Peng Jiang; Mark D Rausher; Lena C Hileman
Journal:  Mol Ecol Resour       Date:  2018-08-08       Impact factor: 7.090

8.  Associations between RNA splicing regulatory variants of stemness-related genes and racial disparities in susceptibility to prostate cancer.

Authors:  Yanru Wang; Jennifer A Freedman; Hongliang Liu; Patricia G Moorman; Terry Hyslop; Daniel J George; Norman H Lee; Steven R Patierno; Qingyi Wei
Journal:  Int J Cancer       Date:  2017-06-01       Impact factor: 7.396

9.  Improving power of association tests using multiple sets of imputed genotypes from distributed reference panels.

Authors:  Wei Zhou; Lars G Fritsche; Sayantan Das; He Zhang; Jonas B Nielsen; Oddgeir L Holmen; Jin Chen; Maoxuan Lin; Maiken B Elvestad; Kristian Hveem; Goncalo R Abecasis; Hyun Min Kang; Cristen J Willer
Journal:  Genet Epidemiol       Date:  2017-09-01       Impact factor: 2.135

10.  Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications.

Authors:  Chenyang Tao; Thomas E Nichols; Xue Hua; Christopher R K Ching; Edmund T Rolls; Paul M Thompson; Jianfeng Feng
Journal:  Neuroimage       Date:  2016-09-22       Impact factor: 6.556

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