Automated Author ProfileRahman, Mahfuzar
Rahman, Mahfuzar
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 13.4 (sum of 8 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
No description available
Authors
- Pierce, Brandon L. ;
- Tong, Lin ;
- Argos, Maria ;
- Demanelis, Kathryn ;
- Jasmine, Farzana ;
- Rakibuz-Zaman, Muhammad ;
- Sarwarq, Golam ;
- Islam, Md. Tariqul ;
- Shahriar, Hasan ;
- Islam, Tariqul ;
- Rahman, Mahfuzar ;
- Yunus, Md. ;
- Kibriya, Muhammad G. ;
- Chen, Lin S. ;
- Ahsan, Habibul
No description available
Authors
- Pierce, Brandon L. ;
- Tong, Lin ;
- Argos, Maria ;
- Demanelis, Kathryn ;
- Jasmine, Farzana ;
- Rakibuz-Zaman, Muhammad ;
- Sarwarq, Golam ;
- Islam, Md. Tariqul ;
- Shahriar, Hasan ;
- Islam, Tariqul ;
- Rahman, Mahfuzar ;
- Yunus, Md. ;
- Kibriya, Muhammad G. ;
- Chen, Lin S. ;
- Ahsan, Habibul
No description available
Authors
- Pierce, Brandon L. ;
- Tong, Lin ;
- Argos, Maria ;
- Demanelis, Kathryn ;
- Jasmine, Farzana ;
- Rakibuz-Zaman, Muhammad ;
- Sarwarq, Golam ;
- Islam, Md. Tariqul ;
- Shahriar, Hasan ;
- Islam, Tariqul ;
- Rahman, Mahfuzar ;
- Yunus, Md. ;
- Kibriya, Muhammad G. ;
- Chen, Lin S. ;
- Ahsan, Habibul
No description available
Authors
- Pierce, Brandon L. ;
- Tong, Lin ;
- Argos, Maria ;
- Demanelis, Kathryn ;
- Jasmine, Farzana ;
- Rakibuz-Zaman, Muhammad ;
- Sarwarq, Golam ;
- Islam, Md. Tariqul ;
- Shahriar, Hasan ;
- Islam, Tariqul ;
- Rahman, Mahfuzar ;
- Yunus, Md. ;
- Kibriya, Muhammad G. ;
- Chen, Lin S. ;
- Ahsan, Habibul
A large fraction of human genes are regulated by genetic variation near the transcribed sequence (cis-eQTL, expression quantitative trait locus), and many cis-eQTLs have implications for human disease. Less is known regarding the effects of genetic variation on expression of distant genes (trans-eQTLs) and their biological mechanisms. In this work, we use genome-wide data on SNPs and array-based expression measures from mononuclear cells obtained from a population-based cohort of 1,799 Bangladeshi individuals to characterize cis- and trans-eQTLs and determine if observed trans-eQTL associations are mediated by expression of transcripts in cis with the SNPs showing trans-association, using Sobel tests of mediation. We observed 434 independent trans-eQTL associations at a false-discovery rate of 0.05, and 189 of these trans-eQTLs were also cis-eQTLs (enrichment P<0.0001). Among these 189 trans-eQTL associations, 39 were significantly attenuated after adjusting for a cis-mediator based on Sobel P<10-5. We attempted to replicate 21 of these mediation signals in two European cohorts, and while only 7 trans-eQTL associations were present in one or both cohorts, 6 showed evidence of cis-mediation. Analyses of simulated data show that complete mediation will be observed as partial mediation in the presence of mediator measurement error or imperfect LD between measured and causal variants. Our data demonstrates that trans-associations can become significantly stronger or switch directions after adjusting for a potential mediator. Using simulated data, we demonstrate that this phenomenon is expected in the presence of strong cis-trans confounding and when the measured cis-transcript is correlated with the true (unmeasured) mediator. In conclusion, by applying mediation analysis to eQTL data, we show that a substantial fraction of observed trans-eQTL associations can be explained by cis-mediation. Future studies should focus on understanding the mechanisms underlying widespread cis-mediation and their relevance to disease biology, as well as using mediation analysis to improve eQTL discovery.
Authors
- Pierce, Brandon L. ;
- Tong, Lin ;
- Chen, Lin S. ;
- Rahaman, Ronald ;
- Argos, Maria ;
- Jasmine, Farzana ;
- Roy, Shantanu ;
- Paul-Brutus, Rachelle ;
- Westra, Harm-Jan ;
- Franke, Lude ;
- Esko, Tonu ;
- Zaman, Rakibuz ;
- Islam, Tariqul ;
- Rahman, Mahfuzar ;
- Baron, John A. ;
- Kibriya, Muhammad G. ;
- Ahsan, Habibul
No description available
Authors
- Pierce, Brandon L. ;
- Tong, Lin ;
- Chen, Lin S. ;
- Rahaman, Ronald ;
- Argos, Maria ;
- Jasmine, Farzana ;
- Roy, Shantanu ;
- Paul-Brutus, Rachelle ;
- Westra, Harm-Jan ;
- Franke, Lude ;
- Esko, Tonu ;
- Zaman, Rakibuz ;
- Islam, Tariqul ;
- Rahman, Mahfuzar ;
- Baron, John A. ;
- Kibriya, Muhammad G. ;
- Ahsan, Habibul
No description available
Authors
- Pierce, Brandon L. ;
- Tong, Lin ;
- Chen, Lin S. ;
- Rahaman, Ronald ;
- Argos, Maria ;
- Jasmine, Farzana ;
- Roy, Shantanu ;
- Paul-Brutus, Rachelle ;
- Westra, Harm-Jan ;
- Franke, Lude ;
- Esko, Tonu ;
- Zaman, Rakibuz ;
- Islam, Tariqul ;
- Rahman, Mahfuzar ;
- Baron, John A. ;
- Kibriya, Muhammad G. ;
- Ahsan, Habibul
No description available
Authors
- Pierce, Brandon L. ;
- Tong, Lin ;
- Chen, Lin S. ;
- Rahaman, Ronald ;
- Argos, Maria ;
- Jasmine, Farzana ;
- Roy, Shantanu ;
- Paul-Brutus, Rachelle ;
- Westra, Harm-Jan ;
- Franke, Lude ;
- Esko, Tonu ;
- Zaman, Rakibuz ;
- Islam, Tariqul ;
- Rahman, Mahfuzar ;
- Baron, John A. ;
- Kibriya, Muhammad G. ;
- Ahsan, Habibul