Tissue-specific effects of genetic and epigenetic variation on gene regulation and splicing.
Tissue-specific effects of genetic and epigenetic variation on gene regulation and splicing.
复制标题
遗传和表观遗传变异对基因调节和剪接的组织特异性作用。
DOI:
10.1371/journal.pgen.1004958
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发表时间:
2015-01
期刊:
影响因子:
4.5
通讯作者:
Dermitzakis ET
中科院分区:
文献类型:
--
作者:
Gutierrez-Arcelus M;Ongen H;Lappalainen T;Montgomery SB;Buil A;Yurovsky A;Bryois J;Padioleau I;Romano L;Planchon A;Falconnet E;Bielser D;Gagnebin M;Giger T;Borel C;Letourneau A;Makrythanasis P;Guipponi M;Gehrig C;Antonarakis SE;Dermitzakis ET
Understanding how genetic variation affects distinct cellular phenotypes, such as gene expression levels, alternative splicing and DNA methylation levels, is essential for better understanding of complex diseases and traits. Furthermore, how inter-individual variation of DNA methylation is associated to gene expression is just starting to be studied. In this study, we use the GenCord cohort of 204 newborn Europeans’ lymphoblastoid cell lines, T-cells and fibroblasts derived from umbilical cords. The samples were previously genotyped for 2.5 million SNPs, mRNA-sequenced, and assayed for methylation levels in 482,421 CpG sites. We observe that methylation sites associated to expression levels are enriched in enhancers, gene bodies and CpG island shores. We show that while the correlation between DNA methylation and gene expression can be positive or negative, it is very consistent across cell-types. However, this epigenetic association to gene expression appears more tissue-specific than the genetic effects on gene expression or DNA methylation (observed in both sharing estimations based on P-values and effect size correlations between cell-types). This predominance of genetic effects can also be reflected by the observation that allele specific expression differences between individuals dominate over tissue-specific effects. Additionally, we discover genetic effects on alternative splicing and interestingly, a large amount of DNA methylation correlating to alternative splicing, both in a tissue-specific manner. The locations of the SNPs and methylation sites involved in these associations highlight the participation of promoter proximal and distant regulatory regions on alternative splicing. Overall, our results provide high-resolution analyses showing how genome sequence variation has a broad effect on cellular phenotypes across cell-types, whereas epigenetic factors provide a secondary layer of variation that is more tissue-specific. Furthermore, the details of how this tissue-specificity may vary across inter-relations of molecular traits, and where these are occurring, can yield further insights into gene regulation and cellular biology as a whole. In order to better understand how genetic differences between individuals can cause diseases, it is crucial to understand how genetic variants affect cellular functions in the different tissues that compose the human body. From the umbilical cord of 195 newborn babies, we previously obtained three different cell-types: fibroblasts, T-cells and immortalized B-cells. From every individual in each cell type we measured four features across the genome: 1) genetic differences, 2) DNA methylation, an epigenetic modification of DNA that can affect its functional state, 3) gene expression—the amount of gene activity, 4) alternative splicing—which of the different versions of a gene is manifested. We find thousands of genetic variants of the DNA sequence that affect methylation, gene expression, and splicing. We show that while these genetic effects often affect multiple cell-types, the strength of these effects varies between cell-types. Also epigenetic methylation marks of DNA associate to gene expression and particularly often to splicing. Since abnormalities in gene expression, DNA methylation and alternative splicing are associated to diseases, it is important to continue studying how these traits are inter-related and affected by genetic variation across cell-types.
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影响因子:
64.8
作者:
Ernst, Jason;Kheradpour, Pouya;Mikkelsen, Tarjei S.;Shoresh, Noam;Ward, Lucas D.;Epstein, Charles B.;Zhang, Xiaolan;Wang, Li;Issner, Robbyn;Coyne, Michael;Ku, Manching;Durham, Timothy;Kellis, Manolis;Bernstein, Bradley E.
通讯作者:
Bernstein, Bradley E.
影响因子:
9.8
作者:
Heinzen EL;Ge D;Cronin KD;Maia JM;Shianna KV;Gabriel WN;Welsh-Bohmer KA;Hulette CM;Denny TN;Goldstein DB
通讯作者:
Goldstein DB
影响因子:
64.8
作者:
通讯作者:
--
影响因子:
7.7
作者:
Gutierrez-Arcelus M;Lappalainen T;Montgomery SB;Buil A;Ongen H;Yurovsky A;Bryois J;Giger T;Romano L;Planchon A;Falconnet E;Bielser D;Gagnebin M;Padioleau I;Borel C;Letourneau A;Makrythanasis P;Guipponi M;Gehrig C;Antonarakis SE;Dermitzakis ET
通讯作者:
Dermitzakis ET
影响因子:
4.5
作者:
Coulombe-Huntington J;Lam KC;Dias C;Majewski J
通讯作者:
Majewski J