From ad2bb5b65f2e3c5679b5d17de3f9b4050577f996 Mon Sep 17 00:00:00 2001
From: Arun Isaac
Date: Tue, 19 Apr 2022 22:08:35 +0530
Subject: Add gmi extension to gemma effect size issue. Add title.

---
 issues/Effect size for GEMMA is a MUST     |  8 --------
 issues/effect-size-for-gemma-is-a-must.gmi | 10 ++++++++++
 2 files changed, 10 insertions(+), 8 deletions(-)
 delete mode 100644 issues/Effect size for GEMMA is a MUST
 create mode 100644 issues/effect-size-for-gemma-is-a-must.gmi

diff --git a/issues/Effect size for GEMMA is a MUST b/issues/Effect size for GEMMA is a MUST
deleted file mode 100644
index 973e21a..0000000
--- a/issues/Effect size for GEMMA is a MUST	
+++ /dev/null
@@ -1,8 +0,0 @@
-To: @Zach, @Pjotr
-From: robwwilliams
-Regarding: Getting a readout of effect size and polarity of effect from GEMMA
-Request Type: New feature for GEMMA, User requires these data
-
-Main Message: Let's Just Do It. Can be done as a kludge. Just plot the beta of the regression equation of the SNP status (ususally two or three states codes as 0, 1, 2 or -1,0, +1) against the phenotype.
-The slope is roughly the effect size. This is good enough for most users. The only got-you is slight inflation of due to kinship structure and the Beavis effect when the sample size is low.
-QUESTION—can I upload an image from Amelie Baud's talk on effect size?
diff --git a/issues/effect-size-for-gemma-is-a-must.gmi b/issues/effect-size-for-gemma-is-a-must.gmi
new file mode 100644
index 0000000..137e96e
--- /dev/null
+++ b/issues/effect-size-for-gemma-is-a-must.gmi
@@ -0,0 +1,10 @@
+# Effect size for GEMMA is a MUST
+
+To: @Zach, @Pjotr
+From: robwwilliams
+Regarding: Getting a readout of effect size and polarity of effect from GEMMA
+Request Type: New feature for GEMMA, User requires these data
+
+Main Message: Let's Just Do It. Can be done as a kludge. Just plot the beta of the regression equation of the SNP status (ususally two or three states codes as 0, 1, 2 or -1,0, +1) against the phenotype.
+The slope is roughly the effect size. This is good enough for most users. The only got-you is slight inflation of due to kinship structure and the Beavis effect when the sample size is low.
+QUESTION—can I upload an image from Amelie Baud's talk on effect size?
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