Author
Listed:
- Sandor Spisak
(Dana-Farber Cancer Institute
Dana-Farber Cancer Institute)
- Viktoria Tisza
(Dana-Farber Cancer Institute
Computational Health Informatics Program (CHIP) Boston Children’s Hospital Harvard Medical School
Research Centre for Natural Sciences)
- Pier Vitale Nuzzo
(Dana-Farber Cancer Institute
Dana-Farber Cancer Institute
University of Genoa)
- Ji-Heui Seo
(Dana-Farber Cancer Institute
Dana-Farber Cancer Institute)
- Balint Pataki
(ELTE Eötvös Loránd University, Pázmány P. s. 1A)
- Dezso Ribli
(ELTE Eötvös Loránd University, Pázmány P. s. 1A)
- Zsofia Sztupinszki
(Computational Health Informatics Program (CHIP) Boston Children’s Hospital Harvard Medical School)
- Connor Bell
(Dana-Farber Cancer Institute
Dana-Farber Cancer Institute)
- Mersedeh Rohanizadegan
(Dana-Farber Cancer Institute
Dana-Farber Cancer Institute)
- David R. Stillman
(Dana-Farber Cancer Institute
Dana-Farber Cancer Institute)
- Sarah Abou Alaiwi
(Dana-Farber Cancer Institute
Dana-Farber Cancer Institute)
- Alan H. Bartels
(Dana-Farber Cancer Institute
Dana-Farber Cancer Institute)
- Marton Papp
(Research Centre for Natural Sciences
University of Veterinary Medicine)
- Anamay Shetty
(Dana-Farber Cancer Institute
Brigham & Women’s Hospital)
- Forough Abbasi
(Cedars-Sinai Medical Center
Cedars-Sinai Medical Center)
- Xianzhi Lin
(Cedars-Sinai Medical Center
Cedars-Sinai Medical Center)
- Kate Lawrenson
(Cedars-Sinai Medical Center
Cedars-Sinai Medical Center
Cedars-Sinai Medical Center)
- Simon A. Gayther
(Cedars-Sinai Medical Center
Cedars-Sinai Medical Center)
- Mark Pomerantz
(Dana-Farber Cancer Institute
Dana-Farber Cancer Institute)
- Sylvan Baca
(Dana-Farber Cancer Institute
Dana-Farber Cancer Institute
The Eli and Edythe L. Broad Institute)
- Norbert Solymosi
(ELTE Eötvös Loránd University, Pázmány P. s. 1A)
- Istvan Csabai
(ELTE Eötvös Loránd University, Pázmány P. s. 1A)
- Zoltan Szallasi
(Computational Health Informatics Program (CHIP) Boston Children’s Hospital Harvard Medical School
Forensic and Insurance Medicine Semmelweis University
Danish Cancer Society Research Center
National Korányi Institute of Pulmonology)
- Alexander Gusev
(Dana-Farber Cancer Institute
Brigham & Women’s Hospital
The Eli and Edythe L. Broad Institute)
- Matthew L. Freedman
(Dana-Farber Cancer Institute
Dana-Farber Cancer Institute
The Eli and Edythe L. Broad Institute)
Abstract
To date, single-nucleotide polymorphisms (SNPs) have been the most intensively investigated class of polymorphisms in genome wide associations studies (GWAS), however, other classes such as insertion-deletion or multiple nucleotide length polymorphism (MNLPs) may also confer disease risk. Multiple reports have shown that the 5p15.33 prostate cancer risk region is a particularly strong expression quantitative trait locus (eQTL) for Iroquois Homeobox 4 (IRX4) transcripts. Here, we demonstrate using epigenome and genome editing that a biallelic (21 and 47 base pairs (bp)) MNLP is the causal variant regulating IRX4 transcript levels. In LNCaP prostate cancer cells (homozygous for the 21 bp short allele), a single copy knock-in of the 47 bp long allele potently alters the chromatin state, enabling de novo functional binding of the androgen receptor (AR) associated with increased chromatin accessibility, Histone 3 lysine 27 acetylation (H3K27ac), and ~3-fold upregulation of IRX4 expression. We further show that an MNLP is amongst the strongest candidate susceptibility variants at two additional prostate cancer risk loci. We estimated that at least 5% of prostate cancer risk loci could be explained by functional non-SNP causal variants, which may have broader implications for other cancers GWAS. More generally, our results underscore the importance of investigating other classes of inherited variation as causal mediators of human traits.
Suggested Citation
Sandor Spisak & Viktoria Tisza & Pier Vitale Nuzzo & Ji-Heui Seo & Balint Pataki & Dezso Ribli & Zsofia Sztupinszki & Connor Bell & Mersedeh Rohanizadegan & David R. Stillman & Sarah Abou Alaiwi & Ala, 2023.
"A biallelic multiple nucleotide length polymorphism explains functional causality at 5p15.33 prostate cancer risk locus,"
Nature Communications, Nature, vol. 14(1), pages 1-13, December.
Handle:
RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-40616-z
DOI: 10.1038/s41467-023-40616-z
Download full text from publisher
References listed on IDEAS
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Full references (including those not matched with items on IDEAS)
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