scispace - formally typeset
C

Caroline Durrant

Researcher at Wellcome Trust Sanger Institute

Publications -  29
Citations -  2960

Caroline Durrant is an academic researcher from Wellcome Trust Sanger Institute. The author has contributed to research in topics: Population & Quantitative trait locus. The author has an hindex of 16, co-authored 29 publications receiving 2683 citations. Previous affiliations of Caroline Durrant include University of Oxford & Wellcome Trust Centre for Human Genetics.

Papers
More filters
Journal ArticleDOI

A Multiparent Advanced Generation Inter-Cross to Fine-Map Quantitative Traits in Arabidopsis thaliana

TL;DR: The first panel of MAGIC lines developed is presented, a set of 527 recombinant inbred lines descended from a heterogeneous stock of 19 intermated accessions of the plant Arabidopsis thaliana, and it is shown how the power to detect a QTL and the mapping accuracy vary, depending on QTL location.
Journal ArticleDOI

Gene X environment interactions at the serotonin transporter locus.

TL;DR: A systematic review and meta-analysis of the serotonin transporter (5-HTTLPR) polymorphic region x stressful life event (SLE) literature and investigated to what extent the main effects reported in this literature are consistent with a number of G x E hypotheses indicates that published studies are underpowered.
Journal ArticleDOI

The genome architecture of the collaborative cross mouse genetic reference population

Fuad A. Iraqi, +129 more
- 16 Feb 2012 - 
TL;DR: The Collaborative Cross Consortium reports here on the development of a unique genetic resource population, a multiparental recombinant inbred panel derived from eight laboratory mouse inbred strains, which shows that founder haplotypes are inherited at the expected frequency.
Journal ArticleDOI

Linkage Disequilibrium Mapping via Cladistic Analysis of Single-Nucleotide Polymorphism Haplotypes

TL;DR: A simulation algorithm is developed to generate high-density SNP data with short-range linkage disequilibrium based on empirical patterns of haplotype diversity that highlights substantial gains in power over single-locus tests for a wide range of disease models, despite overcorrection for multiple testing.