35 research outputs found

    Eeva Martikainen in memoriam

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    FANCM mutation c.5791C > T is a risk factor for triple-negative breast cancer in the Finnish population

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    The FANCM c.5101C > T nonsense mutation was previously found to associate with breast cancer in the Finnish population, especially among triple-negative cases. Here, we studied the prevalence of three other FANCM variants: c.5791C > T, which has been reported to predispose to familial breast cancer, and the c.4025_4026delCT and c.5293dupA variants recently identified in Finnish cancer patients. We genotyped the FANCM c.5791C > T mutation in 4806 invasive breast cancer patients, including BRCA1/2 mutation negative familial cases and unselected cases, and in 2734 healthy population controls from four different geographical areas of Finland. The association of the mutation with breast cancer risk among patient subgroups was statistically evaluated. We further analyzed the combined risk associated with c.5101C > T and c.5791C > T mutations. We also genotyped 526 unselected ovarian cancer patients for the c.5791C > T mutation and 862 familial breast cancer patients for the c.4025_4026delCT and c.5293dupA variants. The frequency of the FANCM c.5791C > T mutation was higher among breast cancer cases than in controls (OR 1.94, 95% CI 0.87-4.32, P = 0.11), with a statistically significant association with triple-negative breast cancer (OR 5.14, 95% CI 1.65-16.0, P = 0.005). The combined analysis for c.5101C > T and c.5791C > T carriers confirmed a strong association with breast cancer (OR 1.86, 95% CI 1.32-2.49, P = 0.0002), especially among the triple-negative patients (OR 3.08, 95% CI 1.77-5.35, P = 0.00007). For the other variants, only one additional c.4025_4026delCT carrier and no c.5293dupA carriers were observed. These results support the role of FANCM as a breast cancer susceptibility gene, particularly for triple-negative breast cancer.Peer reviewe

    Case-control analysis of truncating mutations in DNA damage response genes connects TEX15 and FANCD2 with hereditary breast cancer susceptibility

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    Several known breast cancer susceptibility genes encode proteins involved in DNA damage response (DDR) and are characterized by rare loss-of-function mutations. However, these explain less than half of the familial cases. To identify novel susceptibility factors, 39 rare truncating mutations, identified in 189 Northern Finnish hereditary breast cancer patients in parallel sequencing of 796 DDR genes, were studied for disease association. Mutation screening was performed for Northern Finnish breast cancer cases (n = 578-1565) and controls (n = 337-1228). Mutations showing potential cancer association were analyzed in additional Finnish cohorts.c.7253dupT in TEX15, encoding a DDR factor important in meiosis, associated with hereditary breast cancer (p = 0.018) and likely represents a Northern Finnish founder mutation. A deleterious c.2715 + 1G > A mutation in the Fanconi anemia gene, FANCD2, was over two times more common in the combined Finnish hereditary cohort compared to controls. A deletion (c.640_644del5) in RNF168, causative for recessive RIDDLE syndrome, had high prevalence in majority of the analyzed cohorts, but did not associate with breast cancer. In conclusion, truncating variants in TEX15 and FANCD2 are potential breast cancer risk factors, warranting further investigations in other populations. Furthermore, high frequency of RNF168 c.640_644del5 indicates the need for its testing in Finnish patients with RIDDLE syndrome symptoms.Peer reviewe

    FANCM c.5101C > T mutation associates with breast cancer survival and treatment outcome

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    Breast cancer (BC) is a heterogeneous disease, and different tumor characteristics and genetic variation may affect the clinical outcome. The FANCM c.5101C> T nonsense mutation in the Finnish population associates with increased risk of breast cancer, especially for triple-negative breast cancer patients. To investigate the association of the mutation with disease prognosis, we studied tumor phenotype, treatment outcome, and patient survival in 3,933 invasive breast cancer patients, including 101 FANCM c.5101C> T mutation carriers and 3,832 non-carriers. We also examined association of the mutation with nuclear immunohistochemical staining of DNA repair markers in 1,240 breast tumors. The FANCM c.5101C>T mutation associated with poor 10-year breast cancer-specific survival (hazard ratio (HR) 51.66, 95% confidence interval (CI) 1.09-2.52, p=0.018), with a more pronounced survival effect among familial cases (HR=2.93, 95% CI 1.5-5.76, p=1.80 x 10 23). Poor disease outcome of the carriers was also found among the estrogen receptor (ER) positive subgroup of patients (HR=1.8, 95% CI 1.09-2.98, p=0.021). Reduced survival was seen especially among patients who had not received radiotherapy (HR=3.43, 95% CI 1.6-7.34, p=1.50x10(-3)) but not among radiotherapy treated patients (HR=1.35, 95% CI 0.82-2.23, p=0.237). Significant interaction was found between the mutation and radiotherapy (p=0.040). Immunohistochemical analyses show that c.5101C> T carriers have reduced PAR-activity. Our results suggest that FANCM c.5101C>T nonsense mutation carriers have a reduced breast cancer survival but postoperative radiotherapy may diminish this survival disadvantage.Peer reviewe

    Case-control analysis of truncating mutations in DNA damage response genes connects TEX15 and FANCD2 with hereditary breast cancer susceptibility

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    Several known breast cancer susceptibility genes encode proteins involved in DNA damage response (DDR) and are characterized by rare loss-of-function mutations. However, these explain less than half of the familial cases. To identify novel susceptibility factors, 39 rare truncating mutations, identified in 189 Northern Finnish hereditary breast cancer patients in parallel sequencing of 796 DDR genes, were studied for disease association. Mutation screening was performed for Northern Finnish breast cancer cases (n = 578–1565) and controls (n = 337–1228). Mutations showing potential cancer association were analyzed in additional Finnish cohorts. c.7253dupT in TEX15, encoding a DDR factor important in meiosis, associated with hereditary breast cancer (p = 0.018) and likely represents a Northern Finnish founder mutation. A deleterious c.2715 + 1G > A mutation in the Fanconi anemia gene, FANCD2, was over two times more common in the combined Finnish hereditary cohort compared to controls. A deletion (c.640_644del5) in RNF168, causative for recessive RIDDLE syndrome, had high prevalence in majority of the analyzed cohorts, but did not associate with breast cancer. In conclusion, truncating variants in TEX15 and FANCD2 are potential breast cancer risk factors, warranting further investigations in other populations. Furthermore, high frequency of RNF168 c.640_644del5 indicates the need for its testing in Finnish patients with RIDDLE syndrome symptoms.</p

    FinnGen provides genetic insights from a well-phenotyped isolated population

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    Population isolates such as those in Finland benefit genetic research because deleterious alleles are often concentrated on a small number of low-frequency variants (0.1% ≀ minor allele frequency < 5%). These variants survived the founding bottleneck rather than being distributed over a large number of ultrarare variants. Although this effect is well established in Mendelian genetics, its value in common disease genetics is less explored1,2. FinnGen aims to study the genome and national health register data of 500,000 Finnish individuals. Given the relatively high median age of participants (63 years) and the substantial fraction of hospital-based recruitment, FinnGen is enriched for disease end points. Here we analyse data from 224,737 participants from FinnGen and study 15 diseases that have previously been investigated in large genome-wide association studies (GWASs). We also include meta-analyses of biobank data from Estonia and the United Kingdom. We identified 30 new associations, primarily low-frequency variants, enriched in the Finnish population. A GWAS of 1,932 diseases also identified 2,733 genome-wide significant associations (893 phenome-wide significant (PWS), P < 2.6 × 10–11) at 2,496 (771 PWS) independent loci with 807 (247 PWS) end points. Among these, fine-mapping implicated 148 (73 PWS) coding variants associated with 83 (42 PWS) end points. Moreover, 91 (47 PWS) had an allele frequency of <5% in non-Finnish European individuals, of which 62 (32 PWS) were enriched by more than twofold in Finland. These findings demonstrate the power of bottlenecked populations to find entry points into the biology of common diseases through low-frequency, high impact variants.publishedVersionPeer reviewe

    Rare missense mutations in RECQL and POLG associate with inherited predisposition to breast cancer

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    Abstract Several known breast cancer susceptibility genes with moderate‐to‐high risk alleles encode proteins involved in DNA damage response (DDR). As these explain less than half of the hereditary breast cancer cases, additional predisposing alleles are likely to be discovered. Many of the previous studies utilizing massive parallel sequencing have focused on the protein‐truncating variants, and the role of rare missense mutations has remained poorly addressed. To identify novel susceptibility factors, we have systematically analyzed the data from our parallel sequencing of 796 DDR genes in 189 Northern Finnish hereditary breast cancer patients for rare missense variants, predicted as deleterious. Thirty‐five variants were studied here for the disease association using Finnish breast cancer case (n = 492–2,035) and control (n = 277–1,539) cohorts. As a result, two missense variants in genes involved in DNA replication, RECQL p.I156M and POLG p.L392V, the former involving genomic and the latter mitochondrial DNA replication, showed significant association with risk of breast cancer. Rare RECQL p.I156M allele was observed in breast cancer cases only (6/1,946, 0.3%, p = 0.043), whereas POLG p.L392V was two times more frequent in breast cancer cases (53/2,238, 2.4%) compared to controls (18/1,539, 1.2%, OR = 2.1, 95% CI 1.2–3.5, p = 0.010). Based on the current genetic data, both RECQL p.I156M and POLG p.L392V represent novel breast cancer predisposing alleles
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