2021
DOI: 10.1101/2021.08.12.456138
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The impact of evolutionary processes in shaping the genetics of complex traits in East Asia and Europe: a specific contribution from Denisovan and Neanderthal introgression

Abstract: Evidence of how human evolution shaped the polygenicity of human traits and diseases has been extensively studied in populations of European descent. However, limited information is currently available about its impact on other ancestry groups. Here, we investigated how different evolutionary processes affected the common variant heritability of traits and diseases in East Asians. Leveraging genome-wide association statistics from the Biobank Japan (up to 158,284 participants), we assessed natural selection (n… Show more

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Cited by 4 publications
(4 citation statements)
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“…S-LDSR can be used with either in-sample LD scores (i.e., computed from the same data as for GWAS) or out-of sample LD scores (i.e., computed from an external and often much smaller data set). Out-of-sample LD scores from 1000 Genomes (1KG) is often used in S-LDSR ( McArthur et al, 2021 ; Koller et al, 2021 ) because (1) it is computationally much cheaper to compute than using the GWAS cohorts, and (2) individual-level data from GWAS cohorts are not always accessible; despite that, S-LDSR with in-sample LD scores is more accurate in theory. Previous studies by Koller et al and McArthur et al used S-LDSR to estimate the heritability from archaic ancestries.…”
Section: Identification Of Snps That Tag Neanderthal Ancestry On the ...mentioning
confidence: 99%
“…S-LDSR can be used with either in-sample LD scores (i.e., computed from the same data as for GWAS) or out-of sample LD scores (i.e., computed from an external and often much smaller data set). Out-of-sample LD scores from 1000 Genomes (1KG) is often used in S-LDSR ( McArthur et al, 2021 ; Koller et al, 2021 ) because (1) it is computationally much cheaper to compute than using the GWAS cohorts, and (2) individual-level data from GWAS cohorts are not always accessible; despite that, S-LDSR with in-sample LD scores is more accurate in theory. Previous studies by Koller et al and McArthur et al used S-LDSR to estimate the heritability from archaic ancestries.…”
Section: Identification Of Snps That Tag Neanderthal Ancestry On the ...mentioning
confidence: 99%
“…S-LDSR can be used with either in-sample LD scores (i.e., computed from the same data as for GWAS) or out-of sample LD scores (i.e., computed from an external and often much smaller data set). Out-of-sample LD scores from 1000 Genomes (1KG) is often used in S-LDSR (McArthur 2021, Koller 2021) because 1) it is computationally much cheaper to compute than using the GWAS cohorts, and 2) individual-level data from GWAS cohorts are not always accessible; despite that, S-LDSR with in-sample LD scores is more accurate in theory.…”
Section: Supplementary Notesmentioning
confidence: 99%
“…Stratified-LDSC (S-LDSC) was implemented in GenomicSEM for >51 genomic annotations (baseline annotation v2.2 with flanking and continuous annotations excluded) related to allele frequency strata, genomic conservation, evolutionary selective pressure, epigenomic regulatory sites, etc. [17][18][19][20] The major histocompatibility complex region was excluded from these analyses due to its complex linkage disequilibrium structure.…”
Section: Trait Descriptionmentioning
confidence: 99%