Association analysis of GWAS and candidate gene loci in a Pakistani population with psoriasis.
Journal article, 2015

Psoriasis is a common inflammatory and hyper proliferative condition of the skin and a serious chronic systemic autoimmune disease. We undertook an association study to investigate the genetic etiology of psoriasis in a Pakistani population by genotyping single-nucleotide polymorphisms (SNPs) previously reported to be associated in genome-wide association (GWAS) or in candidate gene studies of psoriasis. Fifty seven single-nucleotide polymorphisms (SNPs) from 42 loci were genotyped in 533 psoriasis patients and 373 controls. Our results showed genome wide significant association of the MHC region (rs1265181 being the most significant from five SNPs used with overall OR=3.38; p=2.97E-18), as well as nominally significant associations at ten other loci (p<0.05) in the Pakistani population (LCE3B, REL, IL13/IL4, TNIP1, IL12B, TRAF3IP2, ZC3H12C, NOS2 and RNF114 from GWAS and PRR9 from a previous candidate gene study). Overall, only nine SNPs out of the 42 GWAS loci, displayed an odds ratio in the opposite allelic direction and only three did not reach similar odds ratio within 95% confidence interval as previously reported (SLC45A1/TNFRSF9, ELMO1 and IL28RA). This indicates similar genetic risk factors and molecular mechanisms behind disease in Pakistani psoriasis patients as in other populations. In addition, we show that the MHC and TNIP1 regions are significantly different in patients with psoriasis onset before the age of 40 (type I) compared to after 40 years of age (type II). MHC being associated mainly with type I while TNIP1 with type II patients.

Autoimmunity

HLA

Psoriasis

Systemic immunity

Genetic risk factors

Molecular mechanisms

Author

Saeeda Munir

Quaid-i-Azam University

Institute of Biomedical and Genetic Engineering

Simeen Ber Rahman

Skin and Laser Clinic

Sadia Rehman

Institute of Biomedical and Genetic Engineering

Nusrat Saba

Institute of Biomedical and Genetic Engineering

Wasim Ahmad

Quaid-i-Azam University

Staffan Nilsson

University of Gothenburg

Chalmers, Mathematical Sciences, Mathematical Statistics

Kehkashan Mazhar

Institute of Biomedical and Genetic Engineering

Åsa Torinsson Naluai

University of Gothenburg

Molecular Immunology

0161-5890 (ISSN) 18729142 (eISSN)

Vol. 64 1 190-4

Subject Categories

Medical Genetics

Areas of Advance

Life Science Engineering (2010-2018)

DOI

10.1016/j.molimm.2014.11.015

PubMed

25481369

More information

Latest update

8/8/2023 6