| Literature DB >> 31363184 |
Zijian Zhu1, Biqing Chen1,2, Ren Na1, Wan Fang1,3, Wenxia Zhang1, Qin Zhou4, Shanbi Zhou5, Han Lei4, Ailong Huang4, Tingmei Chen4, Dongsheng Ni6, Yuping Gu6, Jianing Liu6, Yi Rao7,8, Fang Fang9,10.
Abstract
Contour integration, a key visual function to deal with occlusion and discontinuity in natural scenes, is essential to human survival. However, individuals are not equally well equipped with this ability. In particular, contour integration deficiencies are commonly detected in patients with mental disorders, especially schizophrenia. To understand the underlying sources of these individual differences, the current study investigated the genetic basis of contour integration in humans. A total of 2619 normal participants were tested on their ability to detect continuous contours embedded in a cluttered background. Quantitative genomic analysis was performed, involving heritability estimation based on single nucleotide polymorphisms (SNPs) and association testing at SNP, gene, and pathway levels. Heritability estimation showed that common SNPs contributed 49.5% (standard error of the mean = 15.6%) of overall phenotypic variation, indicating moderate heritability of contour integration. Two-stage genome-wide association analysis (GWAS) detected four SNPs reaching genome-wide significance in the discovery test (N = 1931) but not passing the replication test (N = 688). Gene-level analysis further revealed a significant genome-wide association of a microRNA-encoding gene MIR1178 in both the discovery and replication cohorts. Another gene poly(A)-binding protein nuclear 1 like, cytoplasmic (PABPN1L) showed suggestive significance in the discovery cohort (p < 1 × 10-4) and was replicated in the replication cohort (p = 0.009). The pathway analysis did not detect any significant pathway. Taken together, this study identified significant gene associations with contour integration and provided support for a genetic transmission of the ability to perceive continuous contours in the environment.Entities:
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Year: 2019 PMID: 31363184 PMCID: PMC6871533 DOI: 10.1038/s41431-019-0478-2
Source DB: PubMed Journal: Eur J Hum Genet ISSN: 1018-4813 Impact factor: 4.246