Literature DB >> 28493391

Haplotype reference consortium panel: Practical implications of imputations with large reference panels.

Adriana I Iglesias1,2, Sven J van der Lee1, Pieter W M Bonnemaijer1,2, René Höhn3,4, Abhishek Nag5, Puya Gharahkhani6, Anthony P Khawaja7,8, Linda Broer9, Paul J Foster8, Christopher J Hammond5, Pirro G Hysi5, Elisabeth M van Leeuwen2, Stuart MacGregor6, David A Mackey10,11, Johanna Mazur12, Stefan Nickels4, André G Uitterlinden1,9,13, Caroline C W Klaver1,2,14, Najaf Amin1, Cornelia M van Duijn1,15.   

Abstract

Recently, the Haplotype Reference Consortium (HRC) released a large imputation panel that allows more accurate imputation of genetic variants. In this study, we compared a set of directly assayed common and rare variants from an exome array to imputed genotypes, that is, 1000 genomes project (1000GP) and HRC. We showed that imputation using the HRC panel improved the concordance between assayed and imputed genotypes at common, and especially, low-frequency variants. Furthermore, we performed a genome-wide association meta-analysis of vertical cup-disc ratio, a highly heritable endophenotype of glaucoma, in four cohorts using 1000GP and HRC imputations. We compared the results of the meta-analysis using 1000GP to the meta-analysis results using HRC. Overall, we found that using HRC imputation significantly improved P values (P = 3.07 × 10-61 ), particularly for suggestive variants. Both meta-analyses were performed in the same sample size, yet we found eight genome-wide significant loci in the HRC-based meta-analysis versus seven genome-wide significant loci in the 1000GP-based meta-analysis. This study provides supporting evidence of the new avenues for gene discovery and fine mapping that the HRC imputation panel offers.
© 2017 The Authors. **Human Mutation Published by Wiley Periodicals, Inc.

Entities:  

Keywords:  1000 Genomes Project reference panel; Haplotype Reference Consortium; association studies; imputation; vertical cup-disc ratio

Mesh:

Year:  2017        PMID: 28493391     DOI: 10.1002/humu.23247

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  15 in total

1.  The Rotterdam Study: 2018 update on objectives, design and main results.

Authors:  M Arfan Ikram; Guy G O Brusselle; Sarwa Darwish Murad; Cornelia M van Duijn; Oscar H Franco; André Goedegebure; Caroline C W Klaver; Tamar E C Nijsten; Robin P Peeters; Bruno H Stricker; Henning Tiemeier; André G Uitterlinden; Meike W Vernooij; Albert Hofman
Journal:  Eur J Epidemiol       Date:  2017-10-24       Impact factor: 8.082

2.  High-depth whole genome sequencing of an Ashkenazi Jewish reference panel: enhancing sensitivity, accuracy, and imputation.

Authors:  Todd Lencz; Jin Yu; Cameron Palmer; Shai Carmi; Danny Ben-Avraham; Nir Barzilai; Susan Bressman; Ariel Darvasi; Judy H Cho; Lorraine N Clark; Zeynep H Gümüş; Vijai Joseph; Robert Klein; Steven Lipkin; Kenneth Offit; Harry Ostrer; Laurie J Ozelius; Inga Peter; Gil Atzmon; Itsik Pe'er
Journal:  Hum Genet       Date:  2018-04-28       Impact factor: 4.132

3.  Analysis of Heritability and Genetic Architecture of Pancreatic Cancer: A PanC4 Study.

Authors:  Fei Chen; Erica J Childs; Evelina Mocci; Paige Bracci; Steven Gallinger; Donghui Li; Rachel E Neale; Sara H Olson; Ghislaine Scelo; William R Bamlet; Amanda L Blackford; Michael Borges; Paul Brennan; Kari G Chaffee; Priya Duggal; Manal J Hassan; Elizabeth A Holly; Rayjean J Hung; Michael G Goggins; Robert C Kurtz; Ann L Oberg; Irene Orlow; Herbert Yu; Gloria M Petersen; Harvey A Risch; Alison P Klein
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-04-23       Impact factor: 4.254

4.  Differences in the genetic architecture of common and rare variants in childhood, persistent and late-diagnosed attention-deficit hyperactivity disorder.

Authors:  Veera M Rajagopal; Jinjie Duan; Laura Vilar-Ribó; Jakob Grove; Tetyana Zayats; J Antoni Ramos-Quiroga; F Kyle Satterstrom; María Soler Artigas; Jonas Bybjerg-Grauholm; Marie Bækvad-Hansen; Thomas D Als; Anders Rosengren; Mark J Daly; Benjamin M Neale; Merete Nordentoft; Thomas Werge; Ole Mors; David M Hougaard; Preben B Mortensen; Marta Ribasés; Anders D Børglum; Ditte Demontis
Journal:  Nat Genet       Date:  2022-08-04       Impact factor: 41.307

5.  Distinct subtypes of polycystic ovary syndrome with novel genetic associations: An unsupervised, phenotypic clustering analysis.

Authors:  Matthew Dapas; Frederick T J Lin; Girish N Nadkarni; Ryan Sisk; Richard S Legro; Margrit Urbanek; M Geoffrey Hayes; Andrea Dunaif
Journal:  PLoS Med       Date:  2020-06-23       Impact factor: 11.069

6.  Vertical lossless genomic data compression tools for assembled genomes: A systematic literature review.

Authors:  Kelvin V Kredens; Juliano V Martins; Osmar B Dordal; Mauri Ferrandin; Roberto H Herai; Edson E Scalabrin; Bráulio C Ávila
Journal:  PLoS One       Date:  2020-05-26       Impact factor: 3.240

7.  Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis.

Authors:  Sarah E Graham; Jonas B Nielsen; Matthew Zawistowski; Wei Zhou; Lars G Fritsche; Maiken E Gabrielsen; Anne Heidi Skogholt; Ida Surakka; Whitney E Hornsby; Damian Fermin; Daniel B Larach; Sachin Kheterpal; Chad M Brummett; Seunggeun Lee; Hyun Min Kang; Goncalo R Abecasis; Solfrid Romundstad; Stein Hallan; Matthew G Sampson; Kristian Hveem; Cristen J Willer
Journal:  Nat Commun       Date:  2019-04-23       Impact factor: 14.919

8.  Exploring Impact of Rare Variation in Systemic Lupus Erythematosus by a Genome Wide Imputation Approach.

Authors:  Manuel Martínez-Bueno; Marta E Alarcón-Riquelme
Journal:  Front Immunol       Date:  2019-02-26       Impact factor: 7.561

9.  Association of imputed prostate cancer transcriptome with disease risk reveals novel mechanisms.

Authors:  Nima C Emami; Linda Kachuri; Travis J Meyers; Rajdeep Das; Joshua D Hoffman; Thomas J Hoffmann; Donglei Hu; Jun Shan; Felix Y Feng; Elad Ziv; Stephen K Van Den Eeden; John S Witte
Journal:  Nat Commun       Date:  2019-07-15       Impact factor: 14.919

10.  A Genome-Wide Linkage Study for Chronic Obstructive Pulmonary Disease in a Dutch Genetic Isolate Identifies Novel Rare Candidate Variants.

Authors:  Ivana Nedeljkovic; Natalie Terzikhan; Judith M Vonk; Diana A van der Plaat; Lies Lahousse; Cleo C van Diemen; Brian D Hobbs; Dandi Qiao; Michael H Cho; Guy G Brusselle; Dirkje S Postma; H M Boezen; Cornelia M van Duijn; Najaf Amin
Journal:  Front Genet       Date:  2018-04-19       Impact factor: 4.599

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