Thousands of non-coding variants have been associated with increased risk of human diseases, yet the causal variants and their mechanisms-of-action remain obscure. In an integrative study combining massively parallel reporter assays (MPRA), expression analyses (eQTL, meQTL, PCHiC) and chromatin accessibility analyses in primary cells (caQTL), we investigate 1,039 variants associated with multiple myeloma (MM). We demonstrate that MM susceptibility is mediated by gene-regulatory changes in plasma cells and B-cells, and identify putative causal variants at six risk loci (SMARCD3, WAC, ELL2, CDCA7L, CEP120, and PREX1). Notably, three of these variants co-localize with significant plasma cell caQTLs, signaling the presence of causal activity at these precise genomic positions in an endogenous chromosomal context in vivo. Our results provide a systematic functional dissection of risk loci for a hematologic malignancy.

• MeSH
• adaptorové proteiny signální transdukční genetika   imunologie   MeSH
• B-lymfocyty imunologie   patologie   MeSH
• chromatin chemie   imunologie   MeSH
• chromozomální proteiny, nehistonové genetika   imunologie   MeSH
• genetická predispozice k nemoci * MeSH
• hodnocení rizik MeSH
• intergenová DNA genetika   imunologie   MeSH
• lidé MeSH
• lokus kvantitativního znaku MeSH
• mnohočetný myelom farmakoterapie   genetika   imunologie   patologie   MeSH
• nádorové proteiny genetika   imunologie   MeSH
• plazmatické buňky imunologie   patologie   MeSH
• polymorfismus genetický MeSH
• primární buněčná kultura MeSH
• proteiny buněčného cyklu genetika   imunologie   MeSH
• protokoly protinádorové kombinované chemoterapie MeSH
• regulace genové exprese u nádorů MeSH
• represorové proteiny genetika   imunologie   MeSH
• sekvence nukleotidů MeSH
• transkripční elongační faktory genetika   imunologie   MeSH
• typy dědičnosti MeSH
• výměnné faktory guaninnukleotidů genetika   imunologie   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Research Support, N.I.H., Extramural MeSH
• Názvy látek
• adaptorové proteiny signální transdukční MeSH
• CDCA7L protein, human MeSH Prohlížeč
• CEP120 protein, human MeSH Prohlížeč
• chromatin MeSH
• chromozomální proteiny, nehistonové MeSH
• ELL2 protein, human MeSH Prohlížeč
• intergenová DNA MeSH
• nádorové proteiny MeSH
• PREX1 protein, human MeSH Prohlížeč
• proteiny buněčného cyklu MeSH
• represorové proteiny MeSH
• SMARCD3 protein, human MeSH Prohlížeč
• transkripční elongační faktory MeSH
• výměnné faktory guaninnukleotidů MeSH
• WAC protein, human MeSH Prohlížeč

Multiple myeloma (MM) is a hematological malignancy caused by the clonal expansion of plasma cells. The incidence of MM worldwide is increasing with greater than 140 000 people being diagnosed with MM per year. Whereas 5-year survival after a diagnosis of MM has improved from 28% in 1975 to 56% in 2012, the disease remains essentially incurable. In this review, we summarize our current understanding of MM including its epidemiology, genetics and biology. We will also provide an overview of MM management that has led to improvements in survival, including recent changes to diagnosis and therapies. Areas of unmet need include the management of patients with high-risk MM, those with reduced performance status and those refractory to standard therapies. Ongoing research into the biology and early detection of MM as well as the development of novel therapies, such as immunotherapies, has the potential to influence MM practice in the future.

• Klíčová slova
• clinical presentation, plasma cell disease, risks factors, survival, treatment,
• MeSH
• cyklin D1 genetika   MeSH
• exozom genetika   MeSH
• genetická predispozice k nemoci MeSH
• histondemethylasy genetika   MeSH
• imunoterapie metody   MeSH
• lidé MeSH
• míra přežití MeSH
• mnohočetný myelom diagnóza   epidemiologie   genetika   terapie   MeSH
• mutace MeSH
• nádorové biomarkery genetika   MeSH
• plazmatické buňky imunologie   patologie   MeSH
• represorové proteiny genetika   MeSH
• rizikové faktory MeSH
• transkripční elongační faktory genetika   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• přehledy MeSH
• Názvy látek
• CCND1 protein, human MeSH Prohlížeč
• CDCA7L protein, human MeSH Prohlížeč
• cyklin D1 MeSH
• DIS3 protein, human MeSH Prohlížeč
• ELL2 protein, human MeSH Prohlížeč
• exozom MeSH
• histondemethylasy MeSH
• KDM1A protein, human MeSH Prohlížeč
• nádorové biomarkery MeSH
• represorové proteiny MeSH
• transkripční elongační faktory MeSH

In amyloid light chain (AL) amyloidosis, amyloid fibrils derived from immunoglobulin light chain are deposited in many organs, interfering with their function. The etiology of AL amyloidosis is poorly understood. Summary data from genome-wide association studies (GWASs) of multiple phenotypes can be exploited by Mendelian randomization (MR) methodology to search for factors influencing AL amyloidosis risk. We performed a 2-sample MR analyzing 72 phenotypes, proxied by 3461 genetic variants, and summary genetic data from a GWAS of 1129 AL amyloidosis cases and 7589 controls. Associations with a Bonferroni-defined significance level were observed for genetically predicted increased monocyte counts (P = 3.8 × 10-4) and the tumor necrosis factor receptor superfamily member 17 (TNFRSF17) gene (P = 3.4 × 10-5). Two other associations with the TNFRSF (members 6 and 19L) reached a nominal significance level. The association between genetically predicted decreased fibrinogen levels may be related to roles of fibrinogen other than blood clotting. be related to its nonhemostatic role. It is plausible that a causal relationship with monocyte concentration could be explained by selection of a light chain-producing clone during progression of monoclonal gammopathy of unknown significance toward AL amyloidosis. Because TNFRSF proteins have key functions in lymphocyte biology, it is entirely plausible that they offer a potential link to AL amyloidosis pathophysiology. Our study provides insight into AL amyloidosis etiology, suggesting high circulating levels of monocytes and TNFRSF proteins as risk factors.

• MeSH
• amyloidóza * genetika   MeSH
• celogenomová asociační studie MeSH
• lidé MeSH
• mendelovská randomizace MeSH
• primární amyloidóza * MeSH
• rizikové faktory MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

The etiology of multiple myeloma (MM) is poorly understood. Summary data from genome-wide association studies (GWASs) of multiple phenotypes can be exploited in a Mendelian randomization (MR) phenome-wide association study (PheWAS) to search for factors influencing MM risk. We performed an MR-PheWAS analyzing 249 phenotypes, proxied by 10 225 genetic variants, and summary genetic data from a GWAS of 7717 MM cases and 29 304 controls. Odds ratios (ORs) per 1 standard deviation increase in each phenotype were estimated under an inverse variance weighted random effects model. A Bonferroni-corrected threshold of P = 2 × 10-4 was considered significant, whereas P < .05 was considered suggestive of an association. Although no significant associations with MM risk were observed among the 249 phenotypes, 28 phenotypes showed evidence suggestive of association, including increased levels of serum vitamin B6 and blood carnitine (P = 1.1 × 10-3) with greater MM risk and ω-3 fatty acids (P = 5.4 × 10-4) with reduced MM risk. A suggestive association between increased telomere length and reduced MM risk was also noted; however, this association was primarily driven by the previously identified risk variant rs10936599 at 3q26 (TERC). Although not statistically significant, increased body mass index was associated with increased risk (OR, 1.10; 95% confidence interval, 0.99-1.22), supporting findings from a previous meta-analysis of prospective observational studies. Our study did not provide evidence supporting any modifiable factors examined as having a major influence on MM risk; however, it provides insight into factors for which the evidence has previously been mixed.

• MeSH
• celogenomová asociační studie * MeSH
• jednonukleotidový polymorfismus MeSH
• lidé MeSH
• mendelovská randomizace MeSH
• mnohočetný myelom * epidemiologie   genetika   MeSH
• rizikové faktory MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

BACKGROUND: We characterised the phenotypic consequence of genetic variation at the PCSK9 locus and compared findings with recent trials of pharmacological inhibitors of PCSK9. METHODS: Published and individual participant level data (300,000+ participants) were combined to construct a weighted PCSK9 gene-centric score (GS). Seventeen randomized placebo controlled PCSK9 inhibitor trials were included, providing data on 79,578 participants. Results were scaled to a one mmol/L lower LDL-C concentration. RESULTS: The PCSK9 GS (comprising 4 SNPs) associations with plasma lipid and apolipoprotein levels were consistent in direction with treatment effects. The GS odds ratio (OR) for myocardial infarction (MI) was 0.53 (95% CI 0.42; 0.68), compared to a PCSK9 inhibitor effect of 0.90 (95% CI 0.86; 0.93). For ischemic stroke ORs were 0.84 (95% CI 0.57; 1.22) for the GS, compared to 0.85 (95% CI 0.78; 0.93) in the drug trials. ORs with type 2 diabetes mellitus (T2DM) were 1.29 (95% CI 1.11; 1.50) for the GS, as compared to 1.00 (95% CI 0.96; 1.04) for incident T2DM in PCSK9 inhibitor trials. No genetic associations were observed for cancer, heart failure, atrial fibrillation, chronic obstructive pulmonary disease, or Alzheimer's disease - outcomes for which large-scale trial data were unavailable. CONCLUSIONS: Genetic variation at the PCSK9 locus recapitulates the effects of therapeutic inhibition of PCSK9 on major blood lipid fractions and MI. While indicating an increased risk of T2DM, no other possible safety concerns were shown; although precision was moderate.

• Klíčová slova
• Genetic association studies, LDL-cholesterol, Mendelian randomisation, Phenome-wide association scan,
• MeSH
• anticholesteremika škodlivé účinky   terapeutické užití   MeSH
• biologické markery krev   MeSH
• celogenomová asociační studie MeSH
• cévní mozková příhoda epidemiologie   prevence a kontrola   MeSH
• down regulace MeSH
• dyslipidemie krev   farmakoterapie   epidemiologie   genetika   MeSH
• hodnocení rizik MeSH
• infarkt myokardu epidemiologie   prevence a kontrola   MeSH
• inhibitory serinových proteinas škodlivé účinky   terapeutické užití   MeSH
• ischemie mozku epidemiologie   prevence a kontrola   MeSH
• jednonukleotidový polymorfismus * MeSH
• LDL-cholesterol krev   MeSH
• lidé MeSH
• PCSK9 inhibitory * MeSH
• proproteinkonvertasa subtilisin/kexin typu 9 genetika   MeSH
• randomizované kontrolované studie jako téma MeSH
• rizikové faktory MeSH
• výsledek terapie MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• multicentrická studie MeSH
• práce podpořená grantem MeSH
• Research Support, N.I.H., Extramural MeSH
• Názvy látek
• anticholesteremika MeSH
• biologické markery MeSH
• inhibitory serinových proteinas MeSH
• LDL-cholesterol MeSH
• PCSK9 inhibitory * MeSH
• PCSK9 protein, human MeSH Prohlížeč
• proproteinkonvertasa subtilisin/kexin typu 9 MeSH

Large-scale genome-wide association studies (GWAS) have likely uncovered all common variants at the GWAS significance level. Additional variants within the suggestive range (0.0001> P > 5×10(-8)) are, however, still of interest for identifying causal associations. This analysis aimed to apply novel variant prioritization approaches to identify additional lung cancer variants that may not reach the GWAS level. Effects were combined across studies with a total of 33456 controls and 6756 adenocarcinoma (AC; 13 studies), 5061 squamous cell carcinoma (SCC; 12 studies) and 2216 small cell lung cancer cases (9 studies). Based on prior information such as variant physical properties and functional significance, we applied stratified false discovery rates, hierarchical modeling and Bayesian false discovery probabilities for variant prioritization. We conducted a fine mapping analysis as validation of our methods by examining top-ranking novel variants in six independent populations with a total of 3128 cases and 2966 controls. Three novel loci in the suggestive range were identified based on our Bayesian framework analyses: KCNIP4 at 4p15.2 (rs6448050, P = 4.6×10(-7)) and MTMR2 at 11q21 (rs10501831, P = 3.1×10(-6)) with SCC, as well as GAREM at 18q12.1 (rs11662168, P = 3.4×10(-7)) with AC. Use of our prioritization methods validated two of the top three loci associated with SCC (P = 1.05×10(-4) for KCNIP4, represented by rs9799795) and AC (P = 2.16×10(-4) for GAREM, represented by rs3786309) in the independent fine mapping populations. This study highlights the utility of using prior functional data for sequence variants in prioritization analyses to search for robust signals in the suggestive range.

• MeSH
• adenokarcinom genetika   patologie   MeSH
• Bayesova věta MeSH
• celogenomová asociační studie MeSH
• genetická predispozice k nemoci MeSH
• lidé MeSH
• nádory plic genetika   patologie   MeSH
• spinocelulární karcinom genetika   patologie   MeSH
• studie případů a kontrol MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• metaanalýza MeSH
• práce podpořená grantem MeSH
• Research Support, N.I.H., Extramural MeSH

We conducted imputation to the 1000 Genomes Project of four genome-wide association studies of lung cancer in populations of European ancestry (11,348 cases and 15,861 controls) and genotyped an additional 10,246 cases and 38,295 controls for follow-up. We identified large-effect genome-wide associations for squamous lung cancer with the rare variants BRCA2 p.Lys3326X (rs11571833, odds ratio (OR) = 2.47, P = 4.74 × 10(-20)) and CHEK2 p.Ile157Thr (rs17879961, OR = 0.38, P = 1.27 × 10(-13)). We also showed an association between common variation at 3q28 (TP63, rs13314271, OR = 1.13, P = 7.22 × 10(-10)) and lung adenocarcinoma that had been previously reported only in Asians. These findings provide further evidence for inherited genetic susceptibility to lung cancer and its biological basis. Additionally, our analysis demonstrates that imputation can identify rare disease-causing variants with substantive effects on cancer risk from preexisting genome-wide association study data.

• MeSH
• adenokarcinom genetika   MeSH
• celogenomová asociační studie MeSH
• checkpoint kinasa 2 genetika   MeSH
• genetická predispozice k nemoci MeSH
• jednonukleotidový polymorfismus genetika   MeSH
• lidé MeSH
• metaanalýza jako téma MeSH
• nádory plic genetika   MeSH
• prognóza MeSH
• protein BRCA2 genetika   MeSH
• rizikové faktory MeSH
• spinocelulární karcinom genetika   MeSH
• studie případů a kontrol MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Research Support, N.I.H., Extramural MeSH
• Research Support, N.I.H., Intramural MeSH
• Názvy látek
• BRCA2 protein, human MeSH Prohlížeč
• checkpoint kinasa 2 MeSH
• CHEK2 protein, human MeSH Prohlížeč
• protein BRCA2 MeSH