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Whole Genome Analysis of Venous Thromboembolism: the Trans-Omics for Precision Medicine Program.


ABSTRACT:

Background

Risk for venous thromboembolism has a strong genetic component. Whole genome sequencing from the TOPMed program (Trans-Omics for Precision Medicine) allowed us to look for new associations, particularly rare variants missed by standard genome-wide association studies.

Methods

The 3793 cases and 7834 controls (11.6% of cases were individuals of African, Hispanic/Latino, or Asian ancestry) were analyzed using a single variant approach and an aggregate gene-based approach using our primary filter (included only loss-of-function and missense variants predicted to be deleterious) and our secondary filter (included all missense variants).

Results

Single variant analyses identified associations at 5 known loci. Aggregate gene-based analyses identified only PROC (odds ratio, 6.2 for carriers of rare variants; P=7.4×10-14) when using our primary filter. Employing our secondary variant filter led to a smaller effect size at PROC (odds ratio, 3.8; P=1.6×10-14), while excluding variants found only in rare isoforms led to a larger one (odds ratio, 7.5). Different filtering strategies improved the signal for 2 other known genes: PROS1 became significant (minimum P=1.8×10-6 with the secondary filter), while SERPINC1 did not (minimum P=4.4×10-5 with minor allele frequency <0.0005). Results were largely the same when restricting the analyses to include only unprovoked cases; however, one novel gene, MS4A1, became significant (P=4.4×10-7 using all missense variants with minor allele frequency <0.0005).

Conclusions

Here, we have demonstrated the importance of using multiple variant filtering strategies, as we detected additional genes when filtering variants based on their predicted deleteriousness, frequency, and presence on the most expressed isoforms. Our primary analyses did not identify new candidate loci; thus larger follow-up studies are needed to replicate the novel MS4A1 locus and to identify additional rare variation associated with venous thromboembolism.

SUBMITTER: Seyerle AA 

PROVIDER: S-EPMC10151032 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature

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Whole Genome Analysis of Venous Thromboembolism: the Trans-Omics for Precision Medicine Program.

Seyerle Amanda A AA   Laurie Cecelia A CA   Coombes Brandon J BJ   Jain Deepti D   Conomos Matthew P MP   Brody Jennifer J   Chen Ming-Huei MH   Gogarten Stephanie M SM   Beutel Kathleen M KM   Gupta Namrata N   Heckbert Susan R SR   Jackson Rebecca D RD   Johnson Andrew D AD   Ko Darae D   Manson JoAnn E JE   McKnight Barbara B   Metcalf Ginger A GA   Morrison Alanna C AC   Reiner Alexander P AP   Sofer Tamar T   Tang Weihong W   Wiggins Kerri L KL   Boerwinkle Eric E   de Andrade Mariza M   Gabriel Stacey B SB   Gibbs Richard A RA   Laurie Cathy C CC   Psaty Bruce M BM   Vasan Ramachandran S RS   Rice Ken K   Kooperberg Charles C   Pankow James S JS   Smith Nicholas L NL   Pankratz Nathan N  

Circulation. Genomic and precision medicine 20230324 2


<h4>Background</h4>Risk for venous thromboembolism has a strong genetic component. Whole genome sequencing from the TOPMed program (Trans-Omics for Precision Medicine) allowed us to look for new associations, particularly rare variants missed by standard genome-wide association studies.<h4>Methods</h4>The 3793 cases and 7834 controls (11.6% of cases were individuals of African, Hispanic/Latino, or Asian ancestry) were analyzed using a single variant approach and an aggregate gene-based approach  ...[more]

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