Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Replicability analysis for genome-wide association studies   The paramount importance of replicating associations is well recognized in
the genome-wide associaton (GWA) research community, yet methods for assessing
replicability of associations are scarce. Published GWA studies often combine
separately the results of primary studies and of the follow-up studies.
Informally, reporting the two separate meta-analyses, that of the primary
studies and follow-up studies, gives a sense of the replicability of the
results. We suggest a formal empirical Bayes approach for discovering whether
results have been replicated across studies, in which we estimate the optimal
rejection region for discovering replicated results. We demonstrate, using
realistic simulations, that the average false discovery proportion of our
method remains small. We apply our method to six type two diabetes (T2D) GWA
studies. Out of 803 SNPs discovered to be associated with T2D using a typical
meta-analysis, we discovered 219 SNPs with replicated associations with T2D. We
recommend complementing a meta-analysis with a replicability analysis for GWA
studies.

19
The categories of this paper are: eess
23
The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex
26
The categories of this paper are: bayes-an
12
The categories of this paper are: nucl-th
25
The categories of this paper are: patt-sol
7
The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat
24
The categories of this paper are: dg-ga
17
The categories of this paper are: q-fin
18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph