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.
| Originalsprache | Englisch |
|---|---|
| Zeitschrift | Genetic Epidemiology |
| Jahrgang | 38 |
| Ausgabenummer | 2 |
| Seiten (von - bis) | 97-103 |
| Seitenumfang | 7 |
| ISSN | 0741-0395 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 01.02.2014 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 3 – Gesundheit und Wohlergehen
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SDG 5 – Gender Equality
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Statistische Analyse des X-Chromosoms in genetischen Assoziationsstudien
König, I. R. (Projektleiter*in (PI))
01.01.10 → 31.12.16
Projekt: DFG Einzelprojekte › DFG Einzelförderungen (Sachbeihilfen)
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