TY - JOUR
T1 - Searching for parent-of-origin effects on cardiometabolic traits in imprinted genomic regions
AU - Granot-Hershkovitz, Einat
AU - Wu, Peitao
AU - Karasik, David
AU - Peter, Inga
AU - Peloso, Gina M.
AU - Levy, Daniel
AU - Vasan, Ramachandran S.
AU - Adrienne Cupples, L.
AU - Liu, Ching Ti
AU - Meigs, James B.
AU - Siscovick, David S.
AU - Dupuis, Josée
AU - Friedlander, Yechiel
AU - Hochner, Hagit
N1 - Publisher Copyright:
© 2020, The Author(s), under exclusive licence to European Society of Human Genetics.
PY - 2020/5/1
Y1 - 2020/5/1
N2 - Cardiometabolic traits pose a major global public health burden. Large-scale genome-wide association studies (GWAS) have identified multiple loci accounting for up to 30% of the genetic variance in complex traits such as cardiometabolic traits. However, the contribution of parent-of-origin effects (POEs) to complex traits has been largely ignored in GWAS. Family-based studies enable the assessment of POEs in genetic association analyses. We investigated POEs on a range of complex traits in 3 family-based studies. The discovery phase was carried out in large pedigrees from the Kibbutzim Family Study (n = 901 individuals) and in 872 parent–offspring trios from the Jerusalem Perinatal Study. Focusing on imprinted genomic regions, we examined parent-specific associations with 12 complex traits (i.e., body-size, blood pressure, lipids), mostly cardiometabolic risk traits. Forty five of the 11,967 SNPs initially found to have POE were evaluated for replication (p value < 1 × 10−4) in Framingham Heart Study families (max n = 8000 individuals). Three common variants yielded evidence of POE in the meta-analysis. Two variants, located on chr6 in the HLA region, showed a paternal effect on height (rs1042136: βpaternal = −0.023, p value = 1.5 × 10−8 and rs1431403: βpaternal = −0.011, p value = 5.4 × 10−6). The corresponding maternally-derived effects were statistically nonsignificant. The variant rs9332053, located on chr13 in RCBTB2 gene, demonstrated a maternal effect on hip circumference (βmaternal = −4.24, p value = 9.6 × 10−6; βpaternal = 1.29, p value = 0.23). These findings provide evidence for the utility of incorporating POEs into association studies of cardiometabolic traits, especially anthropometric traits. The study highlights the benefits of using family-based data for deciphering the genetic architecture of complex traits.
AB - Cardiometabolic traits pose a major global public health burden. Large-scale genome-wide association studies (GWAS) have identified multiple loci accounting for up to 30% of the genetic variance in complex traits such as cardiometabolic traits. However, the contribution of parent-of-origin effects (POEs) to complex traits has been largely ignored in GWAS. Family-based studies enable the assessment of POEs in genetic association analyses. We investigated POEs on a range of complex traits in 3 family-based studies. The discovery phase was carried out in large pedigrees from the Kibbutzim Family Study (n = 901 individuals) and in 872 parent–offspring trios from the Jerusalem Perinatal Study. Focusing on imprinted genomic regions, we examined parent-specific associations with 12 complex traits (i.e., body-size, blood pressure, lipids), mostly cardiometabolic risk traits. Forty five of the 11,967 SNPs initially found to have POE were evaluated for replication (p value < 1 × 10−4) in Framingham Heart Study families (max n = 8000 individuals). Three common variants yielded evidence of POE in the meta-analysis. Two variants, located on chr6 in the HLA region, showed a paternal effect on height (rs1042136: βpaternal = −0.023, p value = 1.5 × 10−8 and rs1431403: βpaternal = −0.011, p value = 5.4 × 10−6). The corresponding maternally-derived effects were statistically nonsignificant. The variant rs9332053, located on chr13 in RCBTB2 gene, demonstrated a maternal effect on hip circumference (βmaternal = −4.24, p value = 9.6 × 10−6; βpaternal = 1.29, p value = 0.23). These findings provide evidence for the utility of incorporating POEs into association studies of cardiometabolic traits, especially anthropometric traits. The study highlights the benefits of using family-based data for deciphering the genetic architecture of complex traits.
UR - http://www.scopus.com/inward/record.url?scp=85077567687&partnerID=8YFLogxK
U2 - 10.1038/s41431-019-0568-1
DO - 10.1038/s41431-019-0568-1
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C2 - 31896779
AN - SCOPUS:85077567687
SN - 1018-4813
VL - 28
SP - 646
EP - 655
JO - European Journal of Human Genetics
JF - European Journal of Human Genetics
IS - 5
ER -