Unknown

Dataset Information

0

Biological constraints on GWAS SNPs at suggestive significance thresholds reveal additional BMI loci.


ABSTRACT: To uncover novel significant association signals (p<5×10-8), genome-wide association studies (GWAS) requires increasingly larger sample sizes to overcome statistical correction for multiple testing. As an alternative, we aimed to identify associations among suggestive signals (5 × 10-8?p<5×10-4) in increasingly powered GWAS efforts using chromatin accessibility and direct contact with gene promoters as biological constraints. We conducted retrospective analyses of three GIANT BMI GWAS efforts using ATAC-seq and promoter-focused Capture C data from human adipocytes and embryonic stem cell (ESC)-derived hypothalamic-like neurons. This approach, with its extremely low false-positive rate, identified 15 loci at p<5×10-5 in the 2010 GWAS, of which 13 achieved genome-wide significance by 2018, including at NAV1, MTIF3, and ADCY3. Eighty percent of constrained 2015 loci achieved genome-wide significance in 2018. We observed similar results in waist-to-hip ratio analyses. In conclusion, biological constraints on sub-significant GWAS signals can reveal potentially true-positive loci for further investigation in existing data sets without increasing sample size.

SUBMITTER: Hammond RK 

PROVIDER: S-EPMC7815306 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications


To uncover novel significant association signals (p<5×10<sup>-8</sup>), genome-wide association studies (GWAS) requires increasingly larger sample sizes to overcome statistical correction for multiple testing. As an alternative, we aimed to identify associations among suggestive signals (5 × 10<sup>-8</sup>≤p<5×10<sup>-4</sup>) in increasingly powered GWAS efforts using chromatin accessibility and direct contact with gene promoters as biological constraints. We conducted retrospective analyses o  ...[more]

Similar Datasets

2021-01-15 | GSE164912 | GEO
2021-01-16 | GSE164911 | GEO
2021-01-16 | GSE164745 | GEO
| PRJNA692436 | ENA
| PRJNA692438 | ENA
| PRJNA691887 | ENA
| S-EPMC4490250 | biostudies-literature
| S-EPMC7429341 | biostudies-literature
| S-EPMC3421123 | biostudies-literature
| S-EPMC2828649 | biostudies-literature