Gene Set Analysis and Network Analysis for Genome-Wide Association Studies is a research paper published in Cold Spring Harbor Protocols (2011). On theSindex it has a DataRank of 2.1. It has been cited 23 times, with 22 citing works in its 1-hop citation network.
INTRODUCTIONThe application of high-throughput genotyping in humans has yielded numerous insights into the genetic basis of human phenotypes and an unprecedented amount of genetic data. Genome-wide association studies (GWAS) have increased in number in recent years, but the variants that have been found have generally explained only a tiny proportion of the estimated genetic contribution to phenotypic variation. This article summarizes the progress made in the development of gene set analysis (GSA) and network analysis for GWAS was a way to identify the underlying molecular processes of human phenotypes. It also highlights some promising findings and indicates future directions that may greatly enhance the analysis and interpretation of GWAS.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.477
From this paper's citation signal
Citation Network Contribution
1.7
From 21 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 22% comes from its base citations and 78% from the citation network (21 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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