From 77332754b8d8bc34a7f3796e154c3d194a25864f Mon Sep 17 00:00:00 2001
From: Peter Carbonetto
Date: Tue, 23 May 2017 22:36:54 -0500
Subject: Adjusted formatting in README.

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 README.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 735d07b..a4aa0c8 100644
--- a/README.md
+++ b/README.md
@@ -41,21 +41,21 @@ MQS algorithm to estimate variance components.
 
 If you use GEMMA for published work, please cite our paper:
 
-Xiang Zhou and Matthew Stephens (2012). [Genome-wide efficient
++ Xiang Zhou and Matthew Stephens (2012). [Genome-wide efficient
 mixed-model analysis for association studies.](http://doi.org/10.1038/ng.2310) 
 *Nature Genetics* **44**, 821–824.
 
 If you use the multivariate linear mixed model (mvLMM) in your
 research, please cite:
 
-Xiang Zhou and Matthew Stephens (2014). [Efficient multivariate linear
++ Xiang Zhou and Matthew Stephens (2014). [Efficient multivariate linear
 mixed model algorithms for genome-wide association
 studies.](http://doi.org/10.1038/nmeth.2848)
 *Nature Methods* **11**, 407–409.
 
 If you use the Bayesian sparse linear mixed model (BSLMM), please cite:
 
-Xiang Zhou, Peter Carbonetto and Matthew Stephens (2013). [Polygenic
++ Xiang Zhou, Peter Carbonetto and Matthew Stephens (2013). [Polygenic
 modeling with bayesian sparse linear mixed
 models.](http://doi.org/10.1371/journal.pgen.1003264) *PLoS Genetics*
 **9**, e1003264. 
@@ -63,7 +63,7 @@ models.](http://doi.org/10.1371/journal.pgen.1003264) *PLoS Genetics*
 And if you use of the variance component estimation using summary
 statistics, please cite:
 
-Xiang Zhou (2016). [A unified framework for variance component
++ Xiang Zhou (2016). [A unified framework for variance component
 estimation with summary statistics in genome-wide association
 studies.](https://doi.org/10.1101/042846) *bioRxiv* 042846.
 
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