Age dependent association of inbreeding with risk for schizophrenia in Egypt

Copyright © 2019 Elsevier B.V. All rights reserved..

BACKGROUND: Self-reported consanguinity is associated with risk for schizophrenia (SZ) in several inbred populations, but estimates using DNA-based coefficients of inbreeding are unavailable. Further, it is not known whether recessively inherited risk mutations can be identified through homozygosity by descent (HBD) mapping.

METHODS: We studied self-reported and DNA-based estimates of inbreeding among Egyptian patients with SZ (n = 421, DSM IV criteria) and adult controls without psychosis (n = 301), who were evaluated using semi-structured diagnostic interview schedules and genotyped using the Illumina Infinium PsychArray. Following quality control checks, coefficients of inbreeding (F) and regions of homozygosity (ROH) were estimated using PLINK software for HBD analysis. Exome sequencing was conducted in selected cases.

RESULTS: Inbreeding was associated with schizophrenia based on self-reported consanguinity (χ2 = 4.506, 1 df, p = 0.034) and DNA-based estimates for inbreeding (F); the latter with a significant F × age interaction (β = 32.34, p = 0.0047). The association was most notable among patients older than age 40 years. Eleven ROH were over-represented in cases on chromosomes 1, 3, 6, 11, and 14; all but one region is novel for schizophrenia risk. Exome sequencing identified six recessively-acting genes in ROH with loss-of-function variants; one of which causes primary hereditary microcephaly.

CONCLUSIONS: We propose consanguinity as an age-dependent risk factor for SZ in Egypt. HBD mapping is feasible for SZ in adequately powered samples.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:216

Enthalten in:

Schizophrenia research - 216(2020) vom: 09. Feb., Seite 450-459

Sprache:

Englisch

Beteiligte Personen:

McClain, Lora [VerfasserIn]
Mansour, Hader [VerfasserIn]
Ibrahim, Ibtihal [VerfasserIn]
Klei, Lambertus [VerfasserIn]
Fathi, Warda [VerfasserIn]
Wood, Joel [VerfasserIn]
Kodavali, Chowdari [VerfasserIn]
Maysterchuk, Alina [VerfasserIn]
Wood, Shawn [VerfasserIn]
El-Chennawi, Farha [VerfasserIn]
Ibrahim, Nahed [VerfasserIn]
Eissa, Ahmed [VerfasserIn]
El-Bahaei, Wafaa [VerfasserIn]
El Sayed, Hanan [VerfasserIn]
Yassein, Amal [VerfasserIn]
Tobar, Salwa [VerfasserIn]
El-Boraie, Hala [VerfasserIn]
El-Sheshtawy, Eman [VerfasserIn]
Salah, Hala [VerfasserIn]
Ali, Ahmed [VerfasserIn]
Erdin, Serkan [VerfasserIn]
Devlin, Bernie [VerfasserIn]
Talkowski, Michael [VerfasserIn]
Nimgaonkar, Vishwajit [VerfasserIn]

Links:

Volltext

Themen:

Consanguinity
Genotyping
Journal Article
Psychosis
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Statistical genetics

Anmerkungen:

Date Completed 17.06.2021

Date Revised 17.06.2021

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.schres.2019.10.039

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM305275704