Trial reportScientific reports2015
Implementation of genome-wide complex trait analysis to quantify the heritability in multiple myeloma.
Trial report in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.
- Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma.Nature communications · 2018Pooled it
- Genome-wide association study identifies multiple susceptibility loci for multiple myeloma.Nature communications · 2016Pooled it
- Genome-Wide Association Analyses Identify Variants inFrontiers in genetics · 2021Article
- Coinherited genetics of multiple myeloma and its precursor, monoclonal gammopathy of undetermined significance.Blood advances · 2020Article
- 8q24 genetic variation and comprehensive haplotypes altering familial risk of prostate cancer.Nature communications · 2020Article
- Regions of homozygosity as risk factors for multiple myeloma.Annals of human genetics · 2019Article
- Genome-wide interaction and pathway-based identification of key regulators in multiple myeloma.Communications biology · 2019Article
- Genetic correlation between multiple myeloma and chronic lymphocytic leukaemia provides evidence for shared aetiology.Blood cancer journal · 2018Article
- Evolutionary biology of high-risk multiple myeloma.Nature reviews. Cancer · 2017Review
- Estimation of heritability for nine common cancers using data from genome-wide association studies in Chinese population.International journal of cancer · 2017Article
- Integrative genetic analysis suggests that skin color modifies the genetic architecture of melanoma.PloS one · 2017Article
- Rare SNPs in receptor tyrosine kinases are negative outcome predictors in multiple myeloma.Oncotarget · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
Abstract
A sizeable fraction of multiple myeloma (MM) is expected to be explained by heritable factors. Genome-wide association studies (GWAS) have successfully identified a number of common single-nucleotide polymorphisms (SNPs) influencing MM risk. While these SNPs only explain a small proportion of the genetic risk it is unclear how much is left to be detected by other, yet to be identified, common SNPs. Therefore, we applied Genome-Wide Complex Trait Analysis (GCTA) to 2,282 cases and 5,197 controls individuals to estimate the heritability of MM. We estimated that the heritability explained by known common MM risk SNPs identified in GWAS was 2.9% (± 2.4%), whereas the heritability explained by all common SNPs was 15.2% (± 2.8%). Comparing the heritability explained by the common variants with that from family studies, a fraction of the heritability may be explained by other genetic variants, such as rare variants. In summary, our results suggest that known MM SNPs only explain a small proportion of the heritability and more common SNPs remain to be identified.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.