Literature DB >> 32946765

Generalizability of "GWAS Hits" in Clinical Populations: Lessons from Childhood Cancer Survivors.

Cindy Im1, Na Qin2, Zhaoming Wang2, Weiyu Qiu3, Carrie R Howell2, Yadav Sapkota2, Wonjong Moon2, Wassim Chemaitilly4, Todd M Gibson2, Daniel A Mulrooney5, Kirsten K Ness2, Carmen L Wilson2, Lindsay M Morton6, Gregory T Armstrong5, Smita Bhatia7, Jinghui Zhang8, Melissa M Hudson5, Leslie L Robison2, Yutaka Yasui9.   

Abstract

With mounting interest in translating genome-wide association study (GWAS) hits from large meta-analyses (meta-GWAS) in diverse clinical settings, evaluating their generalizability in target populations is crucial. Here, we consider long-term survivors of childhood cancers from the St. Jude Lifetime Cohort Study, and we show the limited generalizability of 1,376 robust SNP associations reported in the general population across 12 complex anthropometric and cardiometabolic phenotypes (n = 2,231; observed-to-expected replication ratio = 0.70, p = 6.2 × 10-8). An examination of five comparable phenotypes in a second independent cohort of survivors from the Childhood Cancer Survivor Study corroborated the overall limited generalizability of meta-GWAS hits to survivors (n = 4,212; observed-to-expected replication ratio = 0.55, p = 5.6 × 10-15). Finally, in direct comparisons of survivor samples against independent equivalently powered general population samples from the UK Biobank, we consistently observed lower meta-GWAS hit replication rates and poorer polygenic risk score predictive performance in survivor samples for multiple phenotypes. As a possible explanation, we found that meta-GWAS hits were less likely to be replicated in survivors who had been exposed to cancer therapies that are associated with phenotype risk. Examination of complementary DNA methylation data in a subset of survivors revealed that treatment-related methylation patterns at genomic sites linked to meta-GWAS hits may disrupt established genetic signals in survivors.
Copyright © 2020 American Society of Human Genetics. All rights reserved.

Entities:  

Keywords:  DNA methylation; cardiovascular disease; chemotherapy; childhood cancer survivor; genome-wide association study; metabolic disease; polygenic risk score; polygenic risk score generalizability; radiation therapy; replication

Mesh:

Year:  2020        PMID: 32946765      PMCID: PMC7536574          DOI: 10.1016/j.ajhg.2020.08.014

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.043


  61 in total

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10.  The cumulative burden of surviving childhood cancer: an initial report from the St Jude Lifetime Cohort Study (SJLIFE).

Authors:  Nickhill Bhakta; Qi Liu; Kirsten K Ness; Malek Baassiri; Hesham Eissa; Frederick Yeo; Wassim Chemaitilly; Matthew J Ehrhardt; Johnnie Bass; Michael W Bishop; Kyla Shelton; Lu Lu; Sujuan Huang; Zhenghong Li; Eric Caron; Jennifer Lanctot; Carrie Howell; Timothy Folse; Vijaya Joshi; Daniel M Green; Daniel A Mulrooney; Gregory T Armstrong; Kevin R Krull; Tara M Brinkman; Raja B Khan; Deo K Srivastava; Melissa M Hudson; Yutaka Yasui; Leslie L Robison
Journal:  Lancet       Date:  2017-09-08       Impact factor: 79.321

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3.  Genome-wide Association Studies Reveal Novel Locus With Sex-/Therapy-Specific Fracture Risk Effects in Childhood Cancer Survivors.

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4.  Genetic Variants Associated with Therapy-Related Cardiomyopathy among Childhood Cancer Survivors of African Ancestry.

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