Literature DB >> 26335735

The genetic architecture of autism spectrum disorders (ASDs) and the potential importance of common regulatory genetic variants.

David Saffen1.   

Abstract

Currently, there is great interest in identifying genetic variants that contribute to the risk of developing autism spectrum disorders (ASDs), due in part to recent increases in the frequency of diagnosis of these disorders worldwide. While there is nearly universal agreement that ASDs are complex diseases, with multiple genetic and environmental contributing factors, there is less agreement concerning the relative importance of common vs rare genetic variants in ASD liability. Recent observations that rare mutations and copy number variants (CNVs) are frequently associated with ASDs, combined with reduced fecundity of individuals with these disorders, has led to the hypothesis that ASDs are caused primarily by de novo or rare genetic mutations. Based on this model, large-scale whole-genome DNA sequencing has been proposed as the most appropriate method for discovering ASD liability genes. While this approach will undoubtedly identify many novel candidate genes and produce important new insights concerning the genetic causes of these disorders, a full accounting of the genetics of ASDs will be incomplete absent an understanding of the contributions of common regulatory variants, which are likely to influence ASD liability by modifying the effects of rare variants or, by assuming unfavorable combinations, directly produce these disorders. Because it is not yet possible to identify regulatory genetic variants by examination of DNA sequences alone, their identification will require experimentation. In this essay, I discuss these issues and describe the advantages of measurements of allelic expression imbalance (AEI) of mRNA expression for identifying cis-acting regulatory variants that contribute to ASDs.

Entities:  

Keywords:  allelic expression imbalance (AEI); common-disease-common-variant model; common-disease-rare-variant model; copy number variant (CNV)

Mesh:

Year:  2015        PMID: 26335735     DOI: 10.1007/s11427-012-4336-5

Source DB:  PubMed          Journal:  Sci China Life Sci        ISSN: 1674-7305            Impact factor:   6.038


  5 in total

1.  dbSAP: single amino-acid polymorphism database for protein variation detection.

Authors:  Ruifang Cao; Yan Shi; Shuangguan Chen; Yimin Ma; Jiajun Chen; Juan Yang; Geng Chen; Tieliu Shi
Journal:  Nucleic Acids Res       Date:  2016-11-29       Impact factor: 16.971

Review 2.  Vesicle trafficking with snares: a perspective for autism.

Authors:  Çilem Özdemir; Nilfer Şahin; Tuba Edgünlü
Journal:  Mol Biol Rep       Date:  2022-10-05       Impact factor: 2.742

3.  X-CNV: genome-wide prediction of the pathogenicity of copy number variations.

Authors:  Li Zhang; Jingru Shi; Jian Ouyang; Riquan Zhang; Yiran Tao; Dongsheng Yuan; Chengkai Lv; Ruiyuan Wang; Baitang Ning; Ruth Roberts; Weida Tong; Zhichao Liu; Tieliu Shi
Journal:  Genome Med       Date:  2021-08-18       Impact factor: 11.117

Review 4.  Autism spectrum disorder at the crossroad between genes and environment: contributions, convergences, and interactions in ASD developmental pathophysiology.

Authors:  Cristina Cheroni; Nicolò Caporale; Giuseppe Testa
Journal:  Mol Autism       Date:  2020-09-10       Impact factor: 7.509

Review 5.  Advances in Knowledge of Candidate Genes Acting at the Beta-Cell Level in the Pathogenesis of T1DM.

Authors:  Haipeng Pang; Shuoming Luo; Gan Huang; Ying Xia; Zhiguo Xie; Zhiguang Zhou
Journal:  Front Endocrinol (Lausanne)       Date:  2020-03-12       Impact factor: 5.555

  5 in total

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