Sara Lindstroem
University of Washington
Publications 209
#1Celine M. Vachon (Mayo Clinic)H-Index: 52
#2Christopher G. Scott (Mayo Clinic)H-Index: 46
Last.Montserrat Garcia-ClosasH-Index: 82
view all 36 authors...
Mammographic breast density, adjusted for age and body mass index, and a polygenic risk score (PRS), comprised of common genetic variation, are both strong risk factors for breast cancer and increase discrimination of risk models. Understanding their joint contribution will be important to more accurately predict risk. Using 3628 breast cancer cases and 5126 controls of European ancestry from eight case-control studies, we evaluated joint associations of a 77-single nucleotide polymorphism (SNP)...
#1Xia Jiang (KI: Karolinska Institutet)H-Index: 6
#2Hilary K. Finucane (Broad Institute)H-Index: 29
Last.Sara Lindstroem (UW: University of Washington)H-Index: 46
view all 333 authors...
#1Wonil Chung (Harvard University)H-Index: 6
#2Jun Chen (Mayo Clinic)H-Index: 39
Last.Liming Liang (Harvard University)H-Index: 53
view all 8 authors...
We introduce cross-trait penalized regression (CTPR), a powerful and practical approach for multi-trait polygenic risk prediction in large cohorts. Specifically, we propose a novel cross-trait penalty function with the Lasso and the minimax concave penalty (MCP) to incorporate the shared genetic effects across multiple traits for large-sample GWAS data. Our approach extracts information from the secondary traits that is beneficial for predicting the primary trait based on individual-level genoty...
#1Xia Jiang (KI: Karolinska Institutet)H-Index: 6
#2Hilary K. Finucane (Broad Institute)H-Index: 29
Last.Sara Lindstroem (UW: University of Washington)H-Index: 46
view all 333 authors...
Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic cor...
#1Enda M. Byrne (UQ: University of Queensland)H-Index: 33
#2Manuel A. R. Ferreira (QIMR: QIMR Berghofer Medical Research Institute)H-Index: 44
Last.Georgia Chevenix-Trench (QIMR: QIMR Berghofer Medical Research Institute)H-Index: 79
view all 9 authors...
Observational epidemiological studies have found an association between schizophrenia and breast cancer, but it is not known if the relationship is a causal one. We used summary statistics from very large genome-wide association studies of schizophrenia (n = 40675 cases and 64643 controls) and breast cancer (n = 122977 cases and 105974 controls) to investigate whether there is evidence that the association is partly due to shared genetic risk factors and whether there is evidence of a causal rel...
#1Hongjie Chen (UW: University of Washington)
#2Gleb Kichaev (UCLA: University of California, Los Angeles)H-Index: 16
Last.Sara Lindstroem (UW: University of Washington)H-Index: 46
view all 9 authors...
Although genome-wide association studies (GWAS) have identified hundreds of risk loci for breast and prostate cancer, only a few studies have characterized the GWAS association signals across functional genomic annotations with a particular focus on single nucleotide polymorphisms (SNPs) located in DNA regulatory elements. In this study, we investigated the enrichment pattern of GWAS signals for breast and prostate cancer in genomic functional regions located in normal tissue and cancer cell lin...
#1Xia JiangH-Index: 6
#2Hilary K. FinucaneH-Index: 29
Last.Sara LindstroemH-Index: 46
view all 333 authors...
textabstractAn amendment to this paper has been published and can be accessed via a link at the top of the paper.
#1Sara Lindstroem (UW: University of Washington)H-Index: 46
#2Lu Wang (UW: University of Washington)H-Index: 1
Last.Nicholas L. Smith (UW: University of Washington)H-Index: 57
view all 57 authors...
Venous thromboembolism (VTE) is a significant contributor to morbidity and mortality. To advance our understanding of the biology contributing to VTE, we conducted a genome-wide association study (GWAS) of VTE and a transcriptome-wide association study (TWAS) based on imputed gene expression from whole blood and liver. We meta-analyzed GWAS data from 18 studies for 30,234 VTE cases and 172,122 controls and assessed the association between 12,923,718 genetic variants and VTE. We generated variant...