Thomas Lumley • 6/9/2018

Statistical software matters

Read Original

The article discusses how software tools and defaults, particularly in programs like PLINK, created significant obstacles for analyzing the X chromosome in genome-wide association studies (GWAS). It explains technical challenges like haplotype estimation for males (with one X) and females (with two), and how default coding for genetic models led to less efficient, sex-specific analyses. It argues that software availability and design directly impacted the pace of genetic discovery on the X chromosome compared to others.

0 comments
#Genome Wide Association Studies #Genetic Imputation #X Chromosome Analysis
Statistical software matters

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
React, useEffect, and Stale Closures: How to Avoid Them with Dependencies and useRef
Jivbcoop • 4 votes
2
Using Browser Apis In React Practical Guide
Jivbcoop • 2 votes
3
Better react-hook-form Smart Form Components
Maarten Hus • 2 votes
4
Top picks — 2026 January
Paweł Grzybek • 1 votes
5
In Praise of –dry-run
Henrik Warne • 1 votes
6
Deep Learning is Powerful Because It Makes Hard Things Easy - Reflections 10 Years On
Ferenc Huszár • 1 votes
7
Vibe coding your first iOS app
William Denniss • 1 votes
8
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook • 1 votes
9
Quoting Thariq Shihipar
Simon Willison • 1 votes
10
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft • 1 votes