Assessing runs of Homozygosity: a comparison of SNP Array and whole genome sequence low coverage data.

Abstract:

BACKGROUND:Runs of Homozygosity (ROH) are genomic regions where identical haplotypes are inherited from each parent. Since their first detection due to technological advances in the late 1990s, ROHs have been shedding light on human population history and deciphering the genetic basis of monogenic and complex traits and diseases. ROH studies have predominantly exploited SNP array data, but are gradually moving to whole genome sequence (WGS) data as it becomes available. WGS data, covering more genetic variability, can add value to ROH studies, but require additional considerations during analysis. RESULTS:Using SNP array and low coverage WGS data from 1885 individuals from 20 world populations, our aims were to compare ROH from the two datasets and to establish software conditions to get comparable results, thus providing guidelines for combining disparate datasets in joint ROH analyses. By allowing heterozygous SNPs per window, using the PLINK homozygosity function and non-parametric analysis, we were able to obtain non-significant differences in number ROH, mean ROH size and total sum of ROH between data sets using the different technologies for almost all populations. CONCLUSIONS:By allowing 3 heterozygous SNPs per ROH when dealing with WGS low coverage data, it is possible to establish meaningful comparisons between data using SNP array and WGS low coverage technologies.

journal_name

BMC Genomics

journal_title

BMC genomics

authors

Ceballos FC,Hazelhurst S,Ramsay M

doi

10.1186/s12864-018-4489-0

subject

Has Abstract

pub_date

2018-01-30 00:00:00

pages

106

issue

1

issn

1471-2164

pii

10.1186/s12864-018-4489-0

journal_volume

19

pub_type

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