Literature DB >> 24408308

How to include chromosome X in your genome-wide association study.

Inke R König1, Christina Loley, Jeanette Erdmann, Andreas Ziegler.   

Abstract

In current genome-wide association studies (GWAS), the analysis is usually focused on autosomal variants only, and the sex chromosomes are often neglected. Recently, a number of technical hurdles have been described that add to a reluctance of including chromosome X in a GWAS, including complications in genotype calling, imputation, and selection of test statistics. To overcome this, we provide a "how to" guide for analyzing X chromosomal data within a standard GWAS. Following a general pipeline for GWAS, we highlight the steps in which the X chromosome requires specific attention, and we give tentative advice for each of these. Through this, we show that by selection of sensible algorithms and parameter settings, the inclusion of chromosome X in GWAS is manageable. Closing this gap is expected to further elucidate the genetic background of complex diseases, especially of those with sex-specific features.
© 2014 WILEY PERIODICALS, INC.

Keywords:  case-control association; sex chromosomes

Mesh:

Year:  2014        PMID: 24408308     DOI: 10.1002/gepi.21782

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  37 in total

1.  X-chromosome association studies of congenital heart defects.

Authors:  A J Agopian; Thanh T Hoang; Elizabeth Goldmuntz; Hakon Hakonarson; Fadi I Musfee; Laura E Mitchell
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2.  Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence.

Authors:  Jeanne E Savage; Philip R Jansen; Sven Stringer; Kyoko Watanabe; Julien Bryois; Christiaan A de Leeuw; Mats Nagel; Swapnil Awasthi; Peter B Barr; Jonathan R I Coleman; Katrina L Grasby; Anke R Hammerschlag; Jakob A Kaminski; Robert Karlsson; Eva Krapohl; Max Lam; Marianne Nygaard; Chandra A Reynolds; Joey W Trampush; Hannah Young; Delilah Zabaneh; Sara Hägg; Narelle K Hansell; Ida K Karlsson; Sten Linnarsson; Grant W Montgomery; Ana B Muñoz-Manchado; Erin B Quinlan; Gunter Schumann; Nathan G Skene; Bradley T Webb; Tonya White; Dan E Arking; Dimitrios Avramopoulos; Robert M Bilder; Panos Bitsios; Katherine E Burdick; Tyrone D Cannon; Ornit Chiba-Falek; Andrea Christoforou; Elizabeth T Cirulli; Eliza Congdon; Aiden Corvin; Gail Davies; Ian J Deary; Pamela DeRosse; Dwight Dickinson; Srdjan Djurovic; Gary Donohoe; Emily Drabant Conley; Johan G Eriksson; Thomas Espeseth; Nelson A Freimer; Stella Giakoumaki; Ina Giegling; Michael Gill; David C Glahn; Ahmad R Hariri; Alex Hatzimanolis; Matthew C Keller; Emma Knowles; Deborah Koltai; Bettina Konte; Jari Lahti; Stephanie Le Hellard; Todd Lencz; David C Liewald; Edythe London; Astri J Lundervold; Anil K Malhotra; Ingrid Melle; Derek Morris; Anna C Need; William Ollier; Aarno Palotie; Antony Payton; Neil Pendleton; Russell A Poldrack; Katri Räikkönen; Ivar Reinvang; Panos Roussos; Dan Rujescu; Fred W Sabb; Matthew A Scult; Olav B Smeland; Nikolaos Smyrnis; John M Starr; Vidar M Steen; Nikos C Stefanis; Richard E Straub; Kjetil Sundet; Henning Tiemeier; Aristotle N Voineskos; Daniel R Weinberger; Elisabeth Widen; Jin Yu; Goncalo Abecasis; Ole A Andreassen; Gerome Breen; Lene Christiansen; Birgit Debrabant; Danielle M Dick; Andreas Heinz; Jens Hjerling-Leffler; M Arfan Ikram; Kenneth S Kendler; Nicholas G Martin; Sarah E Medland; Nancy L Pedersen; Robert Plomin; Tinca J C Polderman; Stephan Ripke; Sophie van der Sluis; Patrick F Sullivan; Scott I Vrieze; Margaret J Wright; Danielle Posthuma
Journal:  Nat Genet       Date:  2018-06-25       Impact factor: 38.330

3.  X chromosome genetic data in a Spanish children cohort, dataset description and analysis pipeline.

Authors:  Augusto Anguita-Ruiz; Julio Plaza-Diaz; Francisco Javier Ruiz-Ojeda; Azahara I Rupérez; Rosaura Leis; Gloria Bueno; Mercedes Gil-Campos; Rocío Vázquez-Cobela; Ramón Cañete; Luis A Moreno; Ángel Gil; Concepción María Aguilera
Journal:  Sci Data       Date:  2019-07-22       Impact factor: 6.444

4.  Modeling X Chromosome Data Using Random Forests: Conquering Sex Bias.

Authors:  Stacey J Winham; Gregory D Jenkins; Joanna M Biernacka
Journal:  Genet Epidemiol       Date:  2015-12-07       Impact factor: 2.135

5.  Ancestry-specific and sex-specific risk alleles identified in a genome-wide gene-by-alcohol dependence interaction study of risky sexual behaviors.

Authors:  Renato Polimanti; Hongyu Zhao; Lindsay A Farrer; Henry R Kranzler; Joel Gelernter
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2017-10-09       Impact factor: 3.568

Review 6.  Sex differences in psychiatric disorders: what we can learn from sex chromosome aneuploidies.

Authors:  Tamar Green; Shira Flash; Allan L Reiss
Journal:  Neuropsychopharmacology       Date:  2018-07-16       Impact factor: 7.853

Review 7.  Advances in Genomic Discovery and Implications for Personalized Prevention and Medicine: Estonia as Example.

Authors:  Bram Peter Prins; Liis Leitsalu; Katri Pärna; Krista Fischer; Andres Metspalu; Toomas Haller; Harold Snieder
Journal:  J Pers Med       Date:  2021-04-29

Review 8.  Tutorial: a guide to performing polygenic risk score analyses.

Authors:  Shing Wan Choi; Timothy Shin-Heng Mak; Paul F O'Reilly
Journal:  Nat Protoc       Date:  2020-07-24       Impact factor: 13.491

9.  BIGwas: Single-command quality control and association testing for multi-cohort and biobank-scale GWAS/PheWAS data.

Authors:  Jan Christian Kässens; Lars Wienbrandt; David Ellinghaus
Journal:  Gigascience       Date:  2021-06-29       Impact factor: 6.524

10.  Association of CHRDL1 mutations and variants with X-linked megalocornea, Neuhäuser syndrome and central corneal thickness.

Authors:  Alice E Davidson; Sek-Shir Cheong; Pirro G Hysi; Cristina Venturini; Vincent Plagnol; Jonathan B Ruddle; Hala Ali; Nicole Carnt; Jessica C Gardner; Hala Hassan; Else Gade; Lisa Kearns; Anne Marie Jelsig; Marie Restori; Tom R Webb; David Laws; Michael Cosgrove; Jens M Hertz; Isabelle Russell-Eggitt; Daniela T Pilz; Christopher J Hammond; Stephen J Tuft; Alison J Hardcastle
Journal:  PLoS One       Date:  2014-08-05       Impact factor: 3.240

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