| Literature DB >> 32854198 |
Tobias Zrzavy1, Fritz Leutmezer1, Wolfgang Kristoferitsch2, Barbara Kornek1, Christine Schneider3, Paulus Rommer1, Thomas Berger1, Alexander Zimprich1.
Abstract
Multiple sclerosis (MS) is an inflammatory demyelinating disease of the Central Nervous System (CNS). Currently, it is estimated that 30-40% of the phenotypic variability of MS can be explained by genetic factors. However, low susceptibility variants identified through Genome Wide Association Study (GWAS) were calculated to explain about 50% of the heritability. Whether familial high-risk variants also contribute to heritability is a subject of controversy. In the last few years, several familial variants have been nominated, but none of them have been unequivocally confirmed. One reason for this may be that genetic heterogeneity and reduced penetrance are hindering detection. Sequencing a large number of MS families is needed to answer this question. In this study, we performed whole exome sequencing in four multi-case families, of which at least three affected individuals per family were analyzed. We identified a total of 138 rare variants segregating with disease in each of the families. Although no single variant showed convincing evidence for disease causation, some genes seemed particularly interesting based on their biological function. The main aim of this study was to provide a complete list of all rare segregating variants to provide the possibility for other researchers to cross-check familial candidate genes in an unbiased manner.Entities:
Keywords: NGS; genetics; multi-incident family; multiple sclerosis
Year: 2020 PMID: 32854198 PMCID: PMC7563748 DOI: 10.3390/genes11090988
Source DB: PubMed Journal: Genes (Basel) ISSN: 2073-4425 Impact factor: 4.096
Figure 1Pedigrees of the 4 families. Men are represented by squares and women by circles. A diagonal line indicates subjects known to be deceased.
Patient characteristics.
| Family | Patient | Age (years) | Disease Course | Age at Onset | Year of Last EDSS | EDSS | Av.Cov. | 20X |
|---|---|---|---|---|---|---|---|---|
| MS 12 | II. 1 | 70 * | SPMS | 43 | 2015 | 9 | 146 | 98.03 |
| II. 4 | 67 | RRMS | 45 | 2020 | 7 | 134 | 97.71 | |
| II. 5 | 63 | RRMS | 50 | 2015 | 6 | 147 | 96.32 | |
| MS 13 | IV. 1 | 67 | RRMS | 31 | 2019 | 1.5 | 132 | 97.56 |
| IV. 2 | 71 | SPMS | 18 | 2015 | 8 | 218 | 99.18 | |
| IV. 3 | 63 | RRMS | 42 | 2015 | 1.5 | 145 | 97.76 | |
| MS 21 | III. 1 | 20 | RRMS | 14 | 2017 | 2 | 143 | 99.04 |
| III. 2 | 39 | RRMS | 31 | 2017 | 0 | 147 | 99.07 | |
| III. 3 | 36 | RRMS | 25 | 2017 | 1 | 151 | 99.00 | |
| III. 4 | 32 | RRMS | 24 | 2020 | 1 | 158 | 98.99 | |
| MS 24 | I. 1 | 71 | RRMS | 48 | 2020 | 1.5 | 159 | 99.19 |
| II. 1 | 49 | RRMS | 35 | 2017 | 1 | 139 | 99.01 | |
| II. 3 | 45 | RRMS | 31 | 2014 | 0 | 134 | 98.73 | |
| III. 1 | 21 | RRMS | 18 | 2017 | 1 | 152 | 98.97 |
Notes: Av.Cov.: The mean average coverage of each patient’s exome dataset. 20X: Percentage of the targeted coding region which was covered with at least 20X. * deceased (2016).