2021
DOI: 10.1016/j.neubiorev.2021.03.019
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The “missing heritability”—Problem in psychiatry: Is the interaction of genetics, epigenetics and transposable elements a potential solution?

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Cited by 14 publications
(9 citation statements)
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References 297 publications
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“…The top three citing papers in this cluster were authored by Roy et al [109] (coverage = 12, GCS = 31), van Calker and Serchov [110] (coverage = 11, GCS = 3), and Shi et al [111] (coverage = 8, GCS = 8). A brief survey of these citing papers showed that like cluster #3, this cluster focuses on epigenetic effects of miRNA (e.g., Smigielski et al [112] with a coverage = 7 and GCS = 53; Kuehner et al [113] with a coverage = 6 and GCS = 69; Gürel et al [114] with a coverage = 4 and GCS = 11).…”
Section: Cluster #5: Circular Rnamentioning
confidence: 99%
See 1 more Smart Citation
“…The top three citing papers in this cluster were authored by Roy et al [109] (coverage = 12, GCS = 31), van Calker and Serchov [110] (coverage = 11, GCS = 3), and Shi et al [111] (coverage = 8, GCS = 8). A brief survey of these citing papers showed that like cluster #3, this cluster focuses on epigenetic effects of miRNA (e.g., Smigielski et al [112] with a coverage = 7 and GCS = 53; Kuehner et al [113] with a coverage = 6 and GCS = 69; Gürel et al [114] with a coverage = 4 and GCS = 11).…”
Section: Cluster #5: Circular Rnamentioning
confidence: 99%
“…The third largest, and also the most recent, cluster has the following top citing papers: van Calker and Serchov [110] (coverage = 14, GCS = 3), Tsermpini et al [118] (coverage = 11, GCS = 0), and Ghafouri-Fard et al [119] (coverage = 11, GCS = 6). However, the label from this cluster stems from several citing papers that used a bioinformatics approach (e.g., Sabaie et al [120] with a coverage = 8 and GCS = 3, Sabaie et al [121] with a coverage = 7 and GCS = 0, and Jin et al [122] with a coverage = 5 and GCS = 0).…”
Section: Cluster #2: Bioinformatics Analysismentioning
confidence: 99%
“…Overall, 20.8% of the total variation in response to antipsychotics was attributed to common SNPs across the genome [10]. However, almost without exception, even this well-powered GWAS identified loci that could explain only a small proportion of the genetic variance for antipsychotic treatment response, revealing the so-called missing heritability problem [11,12]. Incomplete linkage disequilibrium between the causal variants and common SNP markers may explain a small part of the heritability underestimation.…”
Section: Introductionmentioning
confidence: 94%
“…This is in marked difference to results from family studies, which show that heritability for schizophrenia accounts for 60–80% of disease risk, and even beyond 80% in twin studies ( Sullivan et al, 2003 ; Avramopoulos, 2018 ). However, the current data from genetic analysis does not directly corroborate the heritability estimates, resulting in the so-called “heritability gap” in psychiatry ( van Calker and Serchov, 2021 ). Furthermore, the majority of genetic alterations identified by GWAS studies falls into non-coding regions of DNA (intergenic regions and introns) ( Welter et al, 2014 ), which makes it difficult to validate their potential pathogenic roles in psychiatric illnesses.…”
Section: Introductionmentioning
confidence: 99%