• Profile
Close

Identification of restless legs syndrome genes by mutational load analysis

Annals of Neurology Jan 25, 2020

Tilch E, Schormair B, Zhao C, et al. - Given that restless legs syndrome is a frequent neurological disorder with a substantial burden on individual well-being and public health, researchers conducted the study for identifying restless legs syndrome genes by mutational load analysis. In 4,649 individuals and 4,982 controls by next-generation sequencing, 84 candidate genes were analyzed using molecular inversion probes that primarily targeted coding regions. Through one approach, 14 genes were highly significant and confirmed by the other with Bonferroni-corrected significance to display a differential burden of low-frequency and unusual variants in restless legs syndrome. Nine of these (AAGAB, ATP2C1, CNTN4, COL6A6, CRBN, GLO1, NTNG1, STEAP4, VAV3) resided in the vicinity of known restless legs syndrome loci, while 5 (BBS7, CADM1, CREB5, NRG3, SUN1) have not previously been linked to restless legs syndrome. The burden test and binomial performance deviation analysis also converged significantly within these genes in fine-mapping of potentially causative domains. The differential burden with intragenic low-frequency variants shows putatively causative genes in restless legs syndrome.
Go to Original
Only Doctors with an M3 India account can read this article. Sign up for free or login with your existing account.
4 reasons why Doctors love M3 India
  • Exclusive Write-ups & Webinars by KOLs

  • Nonloggedininfinity icon
    Daily Quiz by specialty
  • Nonloggedinlock icon
    Paid Market Research Surveys
  • Case discussions, News & Journals' summaries
Sign-up / Log In
x
M3 app logo
Choose easy access to M3 India from your mobile!


M3 instruc arrow
Add M3 India to your Home screen
Tap  Chrome menu  and select "Add to Home screen" to pin the M3 India App to your Home screen
Okay