Literature DB >> 31943001

Deep genotype imputation captures virtually all heritability of autoimmune vitiligo.

Genevieve H L Roberts1, Stephanie A Santorico1,2,3,4, Richard A Spritz1,5.   

Abstract

Autoimmune vitiligo is a complex disease involving polygenic risk from at least 50 loci previously identified by genome-wide association studies. The objectives of this study were to estimate and compare vitiligo heritability in European-derived patients using both family-based and 'deep imputation' genotype-based approaches. We estimated family-based heritability (h2FAM) by vitiligo recurrence among a total 8034 first-degree relatives (3776 siblings, 4258 parents or offspring) of 2122 unrelated vitiligo probands. We estimated genotype-based heritability (h2SNP) by deep imputation to Haplotype Reference Consortium and the 1000 Genomes Project data in unrelated 2812 vitiligo cases and 37 079 controls genotyped genome wide, achieving high-quality imputation from markers with minor allele frequency (MAF) as low as 0.0001. Heritability estimated by both approaches was exceedingly high; h2FAM = 0.75-0.83 and h2SNP = 0.78. These estimates are statistically identical, indicating there is essentially no remaining 'missing heritability' for vitiligo. Overall, ~70% of h2SNP is represented by common variants (MAF > 0.01) and 30% by rare variants. These results demonstrate that essentially all vitiligo heritable risk is captured by array-based genotyping and deep imputation. These findings suggest that vitiligo may provide a particularly tractable model for investigation of complex disease genetic architecture and predictive aspects of personalized medicine.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Mesh:

Year:  2020        PMID: 31943001      PMCID: PMC7104671          DOI: 10.1093/hmg/ddaa005

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  20 in total

1.  PLINK: a tool set for whole-genome association and population-based linkage analyses.

Authors:  Shaun Purcell; Benjamin Neale; Kathe Todd-Brown; Lori Thomas; Manuel A R Ferreira; David Bender; Julian Maller; Pamela Sklar; Paul I W de Bakker; Mark J Daly; Pak C Sham
Journal:  Am J Hum Genet       Date:  2007-07-25       Impact factor: 11.025

2.  The genetics of vitiligo.

Authors:  M Hafez; L Sharaf; S M Abd el-Nabi
Journal:  Acta Derm Venereol       Date:  1983       Impact factor: 4.437

3.  Variant of TYR and autoimmunity susceptibility loci in generalized vitiligo.

Authors:  Ying Jin; Stanca A Birlea; Pamela R Fain; Katherine Gowan; Sheri L Riccardi; Paulene J Holland; Christina M Mailloux; Alexandra J D Sufit; Saunie M Hutton; Anita Amadi-Myers; Dorothy C Bennett; Margaret R Wallace; Wayne T McCormack; E Helen Kemp; David J Gawkrodger; Anthony P Weetman; Mauro Picardo; Giovanni Leone; Alain Taïeb; Thomas Jouary; Khaled Ezzedine; Nanny van Geel; Jo Lambert; Andreas Overbeck; Richard A Spritz
Journal:  N Engl J Med       Date:  2010-04-21       Impact factor: 91.245

Review 4.  The heritability of human disease: estimation, uses and abuses.

Authors:  Albert Tenesa; Chris S Haley
Journal:  Nat Rev Genet       Date:  2013-02       Impact factor: 53.242

5.  Efficient haplotype matching and storage using the positional Burrows-Wheeler transform (PBWT).

Authors:  Richard Durbin
Journal:  Bioinformatics       Date:  2014-01-09       Impact factor: 6.937

6.  Genome-wide association studies of autoimmune vitiligo identify 23 new risk loci and highlight key pathways and regulatory variants.

Authors:  Ying Jin; Genevieve Andersen; Daniel Yorgov; Tracey M Ferrara; Songtao Ben; Kelly M Brownson; Paulene J Holland; Stanca A Birlea; Janet Siebert; Anke Hartmann; Anne Lienert; Nanja van Geel; Jo Lambert; Rosalie M Luiten; Albert Wolkerstorfer; J P Wietze van der Veen; Dorothy C Bennett; Alain Taïeb; Khaled Ezzedine; E Helen Kemp; David J Gawkrodger; Anthony P Weetman; Sulev Kõks; Ele Prans; Külli Kingo; Maire Karelson; Margaret R Wallace; Wayne T McCormack; Andreas Overbeck; Silvia Moretti; Roberta Colucci; Mauro Picardo; Nanette B Silverberg; Mats Olsson; Yan Valle; Igor Korobko; Markus Böhm; Henry W Lim; Iltefat Hamzavi; Li Zhou; Qing-Sheng Mi; Pamela R Fain; Stephanie A Santorico; Richard A Spritz
Journal:  Nat Genet       Date:  2016-10-10       Impact factor: 38.330

7.  A reference panel of 64,976 haplotypes for genotype imputation.

Authors:  Shane McCarthy; Sayantan Das; Warren Kretzschmar; Olivier Delaneau; Andrew R Wood; Alexander Teumer; Hyun Min Kang; Christian Fuchsberger; Petr Danecek; Kevin Sharp; Yang Luo; Carlo Sidore; Alan Kwong; Nicholas Timpson; Seppo Koskinen; Scott Vrieze; Laura J Scott; He Zhang; Anubha Mahajan; Jan Veldink; Ulrike Peters; Carlos Pato; Cornelia M van Duijn; Christopher E Gillies; Ilaria Gandin; Massimo Mezzavilla; Arthur Gilly; Massimiliano Cocca; Michela Traglia; Andrea Angius; Jeffrey C Barrett; Dorrett Boomsma; Kari Branham; Gerome Breen; Chad M Brummett; Fabio Busonero; Harry Campbell; Andrew Chan; Sai Chen; Emily Chew; Francis S Collins; Laura J Corbin; George Davey Smith; George Dedoussis; Marcus Dorr; Aliki-Eleni Farmaki; Luigi Ferrucci; Lukas Forer; Ross M Fraser; Stacey Gabriel; Shawn Levy; Leif Groop; Tabitha Harrison; Andrew Hattersley; Oddgeir L Holmen; Kristian Hveem; Matthias Kretzler; James C Lee; Matt McGue; Thomas Meitinger; David Melzer; Josine L Min; Karen L Mohlke; John B Vincent; Matthias Nauck; Deborah Nickerson; Aarno Palotie; Michele Pato; Nicola Pirastu; Melvin McInnis; J Brent Richards; Cinzia Sala; Veikko Salomaa; David Schlessinger; Sebastian Schoenherr; P Eline Slagboom; Kerrin Small; Timothy Spector; Dwight Stambolian; Marcus Tuke; Jaakko Tuomilehto; Leonard H Van den Berg; Wouter Van Rheenen; Uwe Volker; Cisca Wijmenga; Daniela Toniolo; Eleftheria Zeggini; Paolo Gasparini; Matthew G Sampson; James F Wilson; Timothy Frayling; Paul I W de Bakker; Morris A Swertz; Steven McCarroll; Charles Kooperberg; Annelot Dekker; David Altshuler; Cristen Willer; William Iacono; Samuli Ripatti; Nicole Soranzo; Klaudia Walter; Anand Swaroop; Francesco Cucca; Carl A Anderson; Richard M Myers; Michael Boehnke; Mark I McCarthy; Richard Durbin
Journal:  Nat Genet       Date:  2016-08-22       Impact factor: 38.330

8.  Genome-wide association analyses identify 13 new susceptibility loci for generalized vitiligo.

Authors:  Ying Jin; Stanca A Birlea; Pamela R Fain; Tracey M Ferrara; Songtao Ben; Sheri L Riccardi; Joanne B Cole; Katherine Gowan; Paulene J Holland; Dorothy C Bennett; Rosalie M Luiten; Albert Wolkerstorfer; J P Wietze van der Veen; Anke Hartmann; Saskia Eichner; Gerold Schuler; Nanja van Geel; Jo Lambert; E Helen Kemp; David J Gawkrodger; Anthony P Weetman; Alain Taïeb; Thomas Jouary; Khaled Ezzedine; Margaret R Wallace; Wayne T McCormack; Mauro Picardo; Giovanni Leone; Andreas Overbeck; Nanette B Silverberg; Richard A Spritz
Journal:  Nat Genet       Date:  2012-05-06       Impact factor: 38.330

9.  The Prevalence of Vitiligo: A Meta-Analysis.

Authors:  Yuhui Zhang; Yunfei Cai; Meihui Shi; Shibin Jiang; Shaoshan Cui; Yan Wu; Xing-Hua Gao; Hong-Duo Chen
Journal:  PLoS One       Date:  2016-09-27       Impact factor: 3.240

10.  Reference-based phasing using the Haplotype Reference Consortium panel.

Authors:  Po-Ru Loh; Petr Danecek; Pier Francesco Palamara; Christian Fuchsberger; Yakir A Reshef; Hilary K Finucane; Sebastian Schoenherr; Lukas Forer; Shane McCarthy; Goncalo R Abecasis; Richard Durbin; Alkes L Price
Journal:  Nat Genet       Date:  2016-10-03       Impact factor: 38.330

View more
  1 in total

Review 1.  Clinical Features, Immunopathogenesis, and Therapeutic Strategies in Vitiligo.

Authors:  Yinghan Wang; Shuli Li; Chunying Li
Journal:  Clin Rev Allergy Immunol       Date:  2021-07-20       Impact factor: 8.667

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.