Browsing by Subject "LOCI"

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  • Prokopenko, Inga; Poon, Wenny; Maegi, Reedik; Prasad, Rashmi B.; Salehi, S. Albert; Almgren, Peter; Osmark, Peter; Bouatia-Naji, Nabila; Wierup, Nils; Fall, Tove; Stancakova, Alena; Barker, Adam; Lagou, Vasiliki; Osmond, Clive; Xie, Weijia; Lahti, Jari; Jackson, Anne U.; Cheng, Yu-Ching; Liu, Jie; O'Connell, Jeffrey R.; Blomstedt, Paul A.; Fadista, Joao; Alkayyali, Sami; Dayeh, Tasnim; Ahlqvist, Emma; Taneera, Jalal; Lecoeur, Cecile; Kumar, Ashish; Hansson, Ola; Hansson, Karin; Voight, Benjamin F.; Kang, Hyun Min; Levy-Marchal, Claire; Vatin, Vincent; Palotie, Aarno; Syvanen, Ann-Christine; Mari, Andrea; Weedon, Michael N.; Loos, Ruth J. F.; Ong, Ken K.; Nilsson, Peter; Isomaa, Bo; Tuomi, Tiinamaija; Wareham, Nicholas J.; Stumvoll, Michael; Widen, Elisabeth; Lakka, Timo A.; Langenberg, Claudia; Tonjes, Anke; Rauramaa, Rainer; Kuusisto, Johanna; Frayling, Timothy M.; Froguel, Philippe; Walker, Mark; Eriksson, Johan G.; Ling, Charlotte; Kovacs, Peter; Ingelsson, Erik; McCarthy, Mark I.; Shuldiner, Alan R.; Silver, Kristi D.; Laakso, Markku; Groop, Leif; Lyssenko, Valeriya (2014)
  • Thorgeirsson, T. E.; Gudbjartsson, D. F.; Sulem, P.; Besenbacher, S.; Styrkarsdottir, U.; Thorleifsson, G.; Walters, G. B.; Furberg, H.; Sullivan, P. F.; Marchini, J.; McCarthy, M. I.; Steinthorsdottir, V.; Thorsteinsdottir, U.; Stefansson, K.; TAG Consortium; Oxford-GSK Consortium; ENGAGE Consortium; Kaprio, Jaakko; Tuomilehto, Jaakko; Shen, Huei-Yi (2013)
  • Prokic, Ivana; Lahousse, Lies; de Vries, Maaike; Liu, Jun; Kalaoja, Marita; Vonk, Judith M.; van der Plaat, Diana A.; van Diemen, Cleo C.; van der Spek, Ashley; Zhernakova, Alexandra; Fu, Jingyuan; Ghanbari, Mohsen; Ala-Korpela, Mika; Kettunen, Johannes; Havulinna, Aki S.; Perola, Markus; Salomaa, Veikko; Lind, Lars; Arnlov, Johan; Stricker, Bruno H. C.; Brusselle, Guy G.; Boezen, H. Marike; van Duijn, Cornelia M.; Amin, Najaf (2020)
    Background Chronic obstructive pulmonary disease (COPD) is a common lung disorder characterized by persistent and progressive airflow limitation as well as systemic changes. Metabolic changes in blood may help detect COPD in an earlier stage and predict prognosis. Methods We conducted a comprehensive study of circulating metabolites, measured by proton Nuclear Magnetic Resonance Spectroscopy, in relation with COPD and lung function. The discovery sample consisted of 5557 individuals from two large population-based studies in the Netherlands, the Rotterdam Study and the Erasmus Rucphen Family study. Significant findings were replicated in 12,205 individuals from the Lifelines-DEEP study, FINRISK and the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) studies. For replicated metabolites further investigation of causality was performed, utilizing genetics in the Mendelian randomization approach. Results There were 602 cases of COPD and 4955 controls used in the discovery meta-analysis. Our logistic regression results showed that higher levels of plasma Glycoprotein acetyls (GlycA) are significantly associated with COPD (OR = 1.16,P = 5.6 x 10(- 4)in the discovery and OR = 1.30,P = 1.8 x 10(- 6)in the replication sample). A bi-directional two-sample Mendelian randomization analysis suggested that circulating blood GlycA is not causally related to COPD, but that COPD causally increases GlycA levels. Using the prospective data of the same sample of Rotterdam Study in Cox-regression, we show that the circulating GlycA level is a predictive biomarker of COPD incidence (HR = 1.99, 95%CI 1.52-2.60, comparing those in the highest and lowest quartile of GlycA) but is not significantly associated with mortality in COPD patients (HR = 1.07, 95%CI 0.94-1.20). Conclusions Our study shows that circulating blood GlycA is a biomarker of early COPD pathology.
  • van Zuydam, Natalie R.; Ahlqvist, Emma; Sandholm, Niina; Deshmukh, Harshal; Rayner, N. William; Abdalla, Moustafa; Ladenvall, Claes; Ziemek, Daniel; Fauman, Eric; Robertson, Neil R.; McKeigue, Paul M.; Valo, Erkka; Forsblom, Carol; Harjutsalo, Valma; Perna, Annalisa; Rurali, Erica; Marcovecchio, M. Loredana; Igo, Robert P.; Salem, Rany M.; Perico, Norberto; Lajer, Maria; Karajamak, Annemari; Imamura, Minako; Kubo, Michiaki; Takahashi, Atsushi; Sim, Xueling; Liu, Jianjun; van Dam, Rob M.; Jiang, Guozhi; Tam, Claudia H. T.; Luk, Andrea O. Y.; Lee, Heung Man; Lim, Cadmon K. P.; Szeto, Cheuk Chun; So, Wing Yee; Chan, Juliana C. N.; Ang, Su Fen; Dorajoo, Rajkumar; Wang, Ling; Clara, Tan Si Hua; McKnight, Amy-Jayne; Duffy, Seamus; Pezzolesi, Marcus G.; Marre, Michel; Gyorgy, Beata; Hadjadj, Samy; Hiraki, Linda T.; Tuomi, Tiinamaija; Groop, Per-Henrik; Groop, Leif C. (2018)
    dentification of sequence variants robustly associated with predisposition to diabetic kidney disease (DKD) has the potential to provide insights into the pathophysiological mechanisms responsible. We conducted a genome-wide association study (GWAS) of DKD in type 2 diabetes (T2D) using eight complementary dichotomous and quantitative DKD phenotypes: the principal dichotomous analysis involved 5,717 T2D subjects, 3,345 with DKD. Promising association signals were evaluated in up to 26,827 subjects with T2D (12,710 with DKD). A combined T1D+T2D GWAS was performed using complementary data available for subjects with T1D, which, with replication samples, involved up to 40,340 subjects with diabetes (18,582 with DKD). Analysis of specific DKD phenotypes identified a novel signal near GABRR1 (rs9942471, P = 4.5 x 10(-8)) associated with microalbuminuria in European T2D case subjects. However, no replication of this signal was observed in Asian subjects with T2D or in the equivalent T1D analysis. There was only limited support, in this substantially enlarged analysis, for association at previously reported DKD signals, except for those at UMOD and PRKAG2, both associated with estimated glomerular filtration rate. We conclude that, despite challenges in addressing phenotypic heterogeneity, access to increased sample sizes will continue to provide more robust inference regarding risk variant discovery for DKD.
  • Genetic Assoc Neurotrauma Gain Con; CENTER-TBI; CABI; MGB; TBIcare Studies; Kals, Mart; Kunzmann, Kevin; Parodi, Livia; Palotie, Aarno; Ripatti, Samuli; Menon, David K. (2022)
    Background Factors such as age, pre-injury health, and injury severity, account for less than 35% of outcome variability in traumatic brain injury (TBI). While some residual outcome variability may be attributable to genetic factors, published candidate gene association studies have often been underpowered and subject to publication bias.& nbsp;Methods We performed the first genome-and transcriptome-wide association studies (GWAS, TWAS) of genetic effects on outcome in TBI. The study population consisted of 5268 patients from prospective European and US studies, who attended hospital within 24 h of TBI, and satisfied local protocols for computed tomography.& nbsp;Findings The estimated heritability of TBI outcome was 0.26. GWAS revealed no genetic variants with genome-wide significance (p < 5 x 10(-8)), but identified 83 variants in 13 independent loci which met a lower pre-specified sub-genomic statistical threshold (p < 10(-5)). Similarly, none of the genes tested in TWAS met tissue-wide significance. An exploratory analysis of 75 published candidate variants associated with 28 genes revealed one replicable variant (rs1800450 in the MBL2 gene) which retained significance after correction for multiple comparison (p = 5.24 x 10(-4)).& nbsp;Interpretation While multiple novel loci reached less stringent thresholds, none achieved genome-wide significance. The overall heritability estimate, however, is consistent with the hypothesis that common genetic variation substantially contributes to inter-individual variability in TBI outcome. The meta-analytic approach to the GWAS and the availability of summary data allows for a continuous extension with additional cohorts as data becomes available.& nbsp;Copyright (C)& nbsp;2022 Published by Elsevier B.V.
  • Int Headache Genetics Consortium; 23andMe Res Team; Guo, Yanjun; Rist, Pamela M.; Daghlas, Iyas; Giulianini, Franco; Kurth, Tobias; Chasman, Daniel; Artto, Ville; Färkkilä, Markus; Kallela, Mikko; Pärn, Kalle; Muona, Mikko; Sarin, Antti-Pekka; Kaunisto, Mari; Hämäläinen, Eija; Kaprio, Jaakko; Palta, Priit; Wessman, Maija; Palotie, Aarno; Vepsäläinen, Salli; Wedenoja, Juho; Eriksson, Johan G.; Heikkilä, Kauko (2020)
    Blood pressure (BP) was inconsistently associated with migraine and the mechanisms of BP-lowering medications in migraine prophylaxis are unknown. Leveraging large-scale summary statistics for migraine (N-cases/N-controls = 59,674/316,078) and BP (N = 757,601), we find positive genetic correlations of migraine with diastolic BP (DBP, r(g) = 0.11, P = 3.56 x 10(-06)) and systolic BP (SBP, r(g) = 0.06, P = 0.01), but not pulse pressure (PP, r(g) = -0.01, P = 0.75). Cross-trait meta-analysis reveals 14 shared loci (P
  • Service, S. K.; Verweij, K. J. H.; Lahti, J.; Congdon, E.; Ekelund, J.; Hintsanen, M.; Räikkönen, Katri; Lehtimaki, T.; Kahonen, M.; Widen, E.; Taanila, A.; Veijola, J.; Heath, A. C.; Madden, P. A. F.; Montgomery, G. W.; Sabatti, C.; Jarvelin, M-R; Palotie, A.; Raitakari, O.; Viikari, J.; Martin, N. G.; Eriksson, J. G.; Keltikangas-Järvinen, Liisa; Wray, N. R.; Freimer, N. B. (2012)
  • Breast Canc Assoc Consortium; Beeghly-Fadiel, Alicia; Khankari, Nikhil K.; Delahanty, Ryan J.; Zheng, Wei; Blomqvist, Carl; Nevanlinna, Heli (2020)
    Background: Conventional epidemiologic studies have evaluated associations between circulating lipid levels and breast cancer risk, but results have been inconsistent. As Mendelian randomization analyses may provide evidence for causal inference, we sought to evaluate potentially unbiased associations between breast cancer risk and four genetically predicted lipid traits. Methods: Previous genome-wide association studies (GWAS) have identified 164 discrete variants associated with high density lipoprotein-cholesterol (HDL-C), low density lipoprotein-cholesterol (LDL-C), triglycerides and total cholesterol. We used 162 of these unique variants to construct weighted genetic scores (wGSs) for a total of 101 424 breast cancer cases and 80 253 controls of European ancestry from the Breast Cancer Association Consortium (BCAC). Unconditional logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for associations between per standard deviation increase in genetically predicted lipid traits and breast cancer risk. Additional Mendelian randomization analysis approaches and sensitivity analyses were conducted to assess pleiotropy and instrument validity. Results: Corresponding to approximately 15 mg/dL, one standard deviation increase in genetically predicted HDL-C was associated with a 12% increased breast cancer risk (OR: 1.12, 95% CI: 1.08-1.16). Findings were consistent after adjustment for breast cancer risk factors and were robust in several sensitivity analyses. Associations with genetically predicted triglycerides and total cholesterol were inconsistent, and no association for genetically predicted LDL-C was observed. Conclusions: This study provides strong evidence that circulating HDL-C may be associated with an increased risk of breast cancer, whereas LDL-C may not be related to breast cancer risk.
  • van der Valk, Ralf J. P.; Kreiner-Moller, Eskil; Kooijman, Marjolein N.; Guxens, Monica; Stergiakouli, Evangelia; Saaf, Annika; Bradfield, Jonathan P.; Geller, Frank; Hayes, M. Geoffrey; Cousminer, Diana L.; Koerner, Antje; Thiering, Elisabeth; Curtin, John A.; Myhre, Ronny; Huikari, Ville; Joro, Raimo; Kerkhof, Marjan; Warrington, Nicole M.; Pitkanen, Niina; Ntalla, Ioanna; Horikoshi, Momoko; Veijola, Riitta; Freathy, Rachel M.; Teo, Yik-Ying; Barton, Sheila J.; Evans, David M.; Kemp, John P.; St Pourcain, Beate; Ring, Susan M.; Smith, George Davey; Bergstrom, Anna; Kull, Inger; Hakonarson, Hakon; Mentch, Frank D.; Bisgaard, Hans; Chawes, Bo; Stokholm, Jakob; Waage, Johannes; Eriksen, Patrick; Sevelsted, Astrid; Melbye, Mads; van Duijn, Cornelia M.; Medina-Gomez, Carolina; Hofman, Albert; de Jongste, Johan C.; Taal, H. Rob; Eriksson, Johan; Palotie, Aarno; Knip, Mikael; Widen, Elisabeth; Early Genetics Lifecourse; Genetic Invest ANthropometric; Early Growth Genetics EGG (2015)
  • Ahluwalia, Tarunveer S.; Schulz, Christina-Alexandra; Waage, Johannes; Skaaby, Tea; Sandholm, Niina; van Zuydam, Natalie; Charmet, Romain; Bork-Jensen, Jette; Almgren, Peter; Thuesen, Betina H.; Bedin, Mathilda; Brandslund, Ivan; Christensen, Cramer K.; Linneberg, Allan; Ahlqvist, Emma; Groop, Per-Henrik; Hadjadj, Samy; Tregouet, David-Alexandre; Jorgensen, Marit E.; Grarup, Niels; Pedersen, Oluf; Simons, Matias; Groop, Leif; Orho-Melander, Marju; McCarthy, Mark I.; Melander, Olle; Rossing, Peter; Kilpeläinen, Tuomas O.; Hansen, Torben (2019)
    Aims/hypothesisIdentifying rare coding variants associated with albuminuria may open new avenues for preventing chronic kidney disease and end-stage renal disease, which are highly prevalent in individuals with diabetes. Efforts to identify genetic susceptibility variants for albuminuria have so far been limited, with the majority of studies focusing on common variants.MethodsWe performed an exome-wide association study to identify coding variants in a two-stage (discovery and replication) approach. Data from 33,985 individuals of European ancestry (15,872 with and 18,113 without diabetes) and 2605 Greenlanders were included.ResultsWe identified a rare (minor allele frequency [MAF]: 0.8%) missense (A1690V) variant in CUBN (rs141640975, =0.27, p=1.3x10(-11)) associated with albuminuria as a continuous measure in the combined European meta-analysis. The presence of each rare allele of the variant was associated with a 6.4% increase in albuminuria. The rare CUBN variant had an effect that was three times stronger in individuals with type 2 diabetes compared with those without (p(interaction)=7.0x10(-4), with diabetes=0.69, without diabetes=0.20) in the discovery meta-analysis. Gene-aggregate tests based on rare and common variants identified three additional genes associated with albuminuria (HES1, CDC73 and GRM5) after multiple testing correction (p(Bonferroni)
  • Nuotio, Marja-Liisa; Pervjakova, Natalia; Joensuu, Anni; Karhunen, Ville; Hiekkalinna, Tero; Milani, Lili; Kettunen, Johannes; Järvelin, Marjo-Riitta; Jousilahti, Pekka; Metspalu, Andres; Salomaa, Veikko; Kristiansson, Kati; Perola, Markus (2020)
    The role of metabolic syndrome (MetS) as a preceding metabolic state for type 2 diabetes and cardiovascular disease is widely recognised. To accumulate knowledge of the pathological mechanisms behind the condition at the methylation level, we conducted an epigenome-wide association study (EWAS) of MetS and its components, testing 1187 individuals of European ancestry for approximately 470 000 methylation sites throughout the genome. Methylation site cg19693031 in gene TXNIP -previously associated with type 2 diabetes, glucose and lipid metabolism, associated with fasting glucose level (P=1.80x10(-8)). Cg06500161 in gene ABCG1 associated both with serum triglycerides (P=5.36x10(-9)) and waist circumference (P=5.21x10(-9)). The previously identified type 2 diabetes-associated locus cg08309687 in chromosome 21 associated with waist circumference for the first time (P=2.24x10(-7)). Furthermore, a novel HDL association with cg17901584 in chromosome 1 was identified (P=7.81x10(-8)). Our study supports previous genetic studies of MetS, finding that lipid metabolism plays a key role in pathology of the syndrome. We provide evidence regarding a close interplay with glucose metabolism. Finally, we suggest that in attempts to identify methylation loci linking separate MetS components, cg19693031 appears to represent a strong candidate.
  • Chan, Yingleong; Lim, Elaine T.; Sandholm, Niina; Wang, Sophie R.; McKnight, Amy Jayne; Ripke, Stephan; Daly, Mark J.; Neale, Benjamin M.; Salem, Rany M.; Hirschhorn, Joel N.; DIAGRAM Consortium; GENIE Consortium; GIANT Consortium; IIBDGC Consortium; PGC Consortium (2014)
  • Hannon, Eilis; Dempster, Emma; Viana, Joana; Burrage, Joe; Smith, Adam R.; Macdonald, Ruby; St Clair, David; Mustard, Colette; Breen, Gerome; Therman, Sebastian; Kaprio, Jaakko; Toulopoulou, Timothea; Pol, Hilleke E. Hulshoff; Bohlken, Marc M.; Kahn, Rene S.; Nenadic, Igor; Hultman, Christina M.; Murray, Robin M.; Collier, David A.; Bass, Nick; Gurling, Hugh; McQuillin, Andrew; Schalkwyk, Leonard; Mill, Jonathan (2016)
    Background: Schizophrenia is a highly heritable, neuropsychiatric disorder characterized by episodic psychosis and altered cognitive function. Despite success in identifying genetic variants associated with schizophrenia, there remains uncertainty about the causal genes involved in disease pathogenesis and how their function is regulated. Results: We performed a multi-stage epigenome-wide association study, quantifying genome-wide patterns of DNA methylation in a total of 1714 individuals from three independent sample cohorts. We have identified multiple differentially methylated positions and regions consistently associated with schizophrenia across the three cohorts; these effects are independent of important confounders such as smoking. We also show that epigenetic variation at multiple loci across the genome contributes to the polygenic nature of schizophrenia. Finally, we show how DNA methylation quantitative trait loci in combination with Bayesian co-localization analyses can be used to annotate extended genomic regions nominated by studies of schizophrenia, and to identify potential regulatory variation causally involved in disease. Conclusions: This study represents the first systematic integrated analysis of genetic and epigenetic variation in schizophrenia, introducing a methodological approach that can be used to inform epigenome-wide association study analyses of other complex traits and diseases. We demonstrate the utility of using a polygenic risk score to identify molecular variation associated with etiological variation, and of using DNA methylation quantitative trait loci to refine the functional and regulatory variation associated with schizophrenia risk variants. Finally, we present strong evidence for the co-localization of genetic associations for schizophrenia and differential DNA methylation.
  • Rees, E.; Kirov, G.; Walters, J. T.; Richards, A. L.; Howrigan, D.; Kavanagh, D. H.; Pocklington, A. J.; Fromer, M.; Ruderfer, D. M.; Georgieva, L.; Carrera, N.; Gormley, P.; Palta, P.; Williams, H.; Dwyer, S.; Johnson, J. S.; Roussos, P.; Barker, D. D.; Banks, E.; Milanova, V.; Rose, S. A.; Chambert, K.; Mahajan, M.; Scolnick, E. M.; Moran, J. L.; Tsuang, M. T.; Glatt, S. J.; Chen, W. J.; Hwu, H-G; Neale, B. M.; Palotie, A.; Sklar, P.; Purcell, S. M.; McCarroll, S. A.; Holmans, P.; Owen, M. J.; O'Donovan, M. C.; Taiwanese Trios Exome Sequencing C (2015)
    Genetic associations involving both rare and common alleles have been reported for schizophrenia but there have been no systematic scans for rare recessive genotypes using fully phased trio data. Here, we use exome sequencing in 604 schizophrenia proband-parent trios to investigate the role of recessive (homozygous or compound heterozygous) nonsynonymous genotypes in the disorder. The burden of recessive genotypes was not significantly increased in probands at either a genome-wide level or in any individual gene after adjustment for multiple testing. At a system level, probands had an excess of nonsynonymous compound heterozygous genotypes (minor allele frequency, MAF
  • Gandolfi, Barbara; Alhaddad, Hasan; Abdi, Mona; Bach, Leslie H.; Creighton, Erica K.; Davis, Brian W.; Decker, Jared E.; Dodman, Nicholas H.; Grahn, Jennifer C.; Grahn, Robert A.; Haase, Bianca; Haggstrom, Jens; Hamilton, Michael J.; Helps, Christopher R.; Kurushima, Jennifer D.; Lohi, Hannes; Longeri, Maria; Malik, Richard; Meurs, Kathryn M.; Montague, Michael J.; Mullikin, James C.; Murphy, William J.; Nilson, Sara M.; Pedersen, Niels C.; Peterson, Carlyn B.; Rusbridge, Clare; Saif, Rashid; Shelton, G. Diane; Warren, Wesley C.; Wasim, Muhammad; Lyons, Leslie A. (2018)
    The development of high throughput SNP genotyping technologies has improved the genetic dissection of simple and complex traits in many species including cats. The properties of feline 62,897 SNPs Illumina Infinium iSelect DNA array are described using a dataset of over 2,000 feline samples, the most extensive to date, representing 41 cat breeds, a random bred population, and four wild felid species. Accuracy and efficiency of the array's genotypes and its utility in performing population-based analyses were evaluated. Average marker distance across the array was 37,741 Kb, and across the dataset, only 1% (625) of the markers exhibited poor genotyping and only 0.35% (221) showed Mendelian errors. Marker polymorphism varied across cat breeds and the average minor allele frequency (MAF) of all markers across domestic cats was 0.21. Population structure analysis confirmed a Western to Eastern structural continuum of cat breeds. Genome-wide linkage disequilibrium ranged from 50-1,500 Kb for domestic cats and 750 Kb for European wildcats (Felis silvestris silvestris). Array use in trait association mapping was investigated under different modes of inheritance, selection and population sizes. The efficient array design and cat genotype dataset continues to advance the understanding of cat breeds and will support monogenic health studies across feline breeds and populations.
  • NBCS Collaborators; ABCTB Investigators; kConFab Investigators; Morra, Anna; Escala-Garcia, Maria; Beesley, Jonathan; Muranen, Taru A.; Nevanlinna, Heli (2021)
    Background Given the high heterogeneity among breast tumors, associations between common germline genetic variants and survival that may exist within specific subgroups could go undetected in an unstratified set of breast cancer patients. Methods We performed genome-wide association analyses within 15 subgroups of breast cancer patients based on prognostic factors, including hormone receptors, tumor grade, age, and type of systemic treatment. Analyses were based on 91,686 female patients of European ancestry from the Breast Cancer Association Consortium, including 7531 breast cancer-specific deaths over a median follow-up of 8.1 years. Cox regression was used to assess associations of common germline variants with 15-year and 5-year breast cancer-specific survival. We assessed the probability of these associations being true positives via the Bayesian false discovery probability (BFDP < 0.15). Results Evidence of associations with breast cancer-specific survival was observed in three patient subgroups, with variant rs5934618 in patients with grade 3 tumors (15-year-hazard ratio (HR) [95% confidence interval (CI)] 1.32 [1.20, 1.45], P = 1.4E-08, BFDP = 0.01, per G allele); variant rs4679741 in patients with ER-positive tumors treated with endocrine therapy (15-year-HR [95% CI] 1.18 [1.11, 1.26], P = 1.6E-07, BFDP = 0.09, per G allele); variants rs1106333 (15-year-HR [95% CI] 1.68 [1.39,2.03], P = 5.6E-08, BFDP = 0.12, per A allele) and rs78754389 (5-year-HR [95% CI] 1.79 [1.46,2.20], P = 1.7E-08, BFDP = 0.07, per A allele), in patients with ER-negative tumors treated with chemotherapy. Conclusions We found evidence of four loci associated with breast cancer-specific survival within three patient subgroups. There was limited evidence for the existence of associations in other patient subgroups. However, the power for many subgroups is limited due to the low number of events. Even so, our results suggest that the impact of common germline genetic variants on breast cancer-specific survival might be limited.
  • Leinonen, Jaakko T.; Surakka, Ida; Havulinna, Aki S.; Kettunen, Johannes; Luoto, Riitta; Salomaa, Veikko; Widen, Elisabeth (2012)
  • Elovainio, Marko; Lahti, Jari; Pirinen, Matti; Pulkki-Raback, Laura; Malmberg, Anni; Lipsanen, Jari; Virtanen, Marianna; Kivimaki, Mika; Hakulinen, Christian (2022)
    Background Social isolation and loneliness have been associated with increased risk of dementia, but it is not known whether this risk is modified or confounded by genetic risk of dementia. Methods We used the prospective UK Biobank study with 155 070 participants (mean age 64.1 years), including self-reported social isolation and loneliness. Genetic risk was indicated using the polygenic risk score for Alzheimer's disease and the incident dementia ascertained using electronic health records. Results Overall, 8.6% of participants reported that they were socially isolated and 5.5% were lonely. During a mean follow-up of 8.8 years (1.36 million person years), 1444 (0.9% of the total sample) were diagnosed with dementia. Social isolation, but not loneliness, was associated with increased risk of dementia (HR 1.62, 95% CI 1.38 to 1.90). There were no interaction effects between genetic risk and social isolation or between genetic risk and loneliness predicting incident dementia. Of the participants who were socially isolated and had high genetic risk, 4.4% (95% CI 3.4% to 5.5%) were estimated to developed dementia compared with 2.9% (95% CI 2.6% to 3.2%) of those who were not socially isolated but had high genetic risk. Comparable differences were also in those with intermediate and low genetic risk levels. Conclusions Socially isolated individuals are at increased risk of dementia at all levels of genetic risk.
  • Clark, David W.; Okada, Yukinori; Moore, Kristjan H. S.; Mason, Dan; Pirastu, Nicola; Gandin, Ilaria; Mattsson, Hannele; Barnes, Catriona L. K.; Lin, Kuang; Zhao, Jing Hua; Deelen, Patrick; Rohde, Rebecca; Schurmann, Claudia; Guo, Xiuqing; Giulianini, Franco; Zhang, Weihua; Medina-Gomez, Carolina; Karlsson, Robert; Bao, Yanchun; Bartz, Traci M.; Baumbach, Clemens; Biino, Ginevra; Bixley, Matthew J.; Brumat, Marco; Chai, Jin-Fang; Corre, Tanguy; Cousminer, Diana L.; Dekker, Annelot M.; Eccles, David A.; Van Eijk, Kristel R.; Fuchsberger, Christian; Gao, He; Germain, Marine; Gordon, Scott D.; de Haan, Hugoline G.; Harris, Sarah E.; Hofer, Edith; Huerta-Chagoya, Alicia; Igartua, Catherine; Jansen, Iris E.; Jia, Yucheng; Kacprowski, Tim; Karlsson, Torgny; Kleber, Marcus E.; Li, Shengchao Alfred; Li-Gao, Ruifang; Mahajan, Anubha; Matsuda, Koichi; Meidtner, Karina; Meng, Weihua; Montasser, May E.; van der Most, Peter J.; Munz, Matthias; Nutile, Teresa; Palviainen, Teemu; Prasad, Gauri; Prasad, Rashmi B.; Priyanka, Tallapragada Divya Sri; Rizzi, Federica; Salvi, Erika; Sapkota, Bishwa R.; Shriner, Daniel; Skotte, Line; Smart, Melissa C.; Smith, Albert Vernon; van der Spek, Ashley; Spracklen, Cassandra N.; Strawbridge, Rona J.; Tajuddin, Salman M.; Trompet, Stella; Turman, Constance; Verweij, Niek; Viberti, Clara; Wang, Lihua; Warren, Helen R.; Wootton, Robyn E.; Yanek, Lisa R.; Yao, Jie; Yousri, Noha A.; Zhao, Wei; Adeyemo, Adebowale A.; Afaq, Saima; Alberto Aguilar-Salinas, Carlos; Akiyama, Masato; Albert, Matthew L.; Allison, Matthew A.; Alver, Maris; Aung, Tin; Azizi, Fereidoun; Bentley, Amy R.; Boeing, Heiner; Boerwinkle, Eric; Borja, Judith B.; de Borst, Gert J.; Bottinger, Erwin P.; Broer, Linda; Campbell, Harry; Chanock, Stephen; Chee, Miao-Li; Chen, Guanjie; Chen, Yii-Der I.; Chen, Zhengming; Chiu, Yen-Feng; Cocca, Massimiliano; Collins, Francis S.; Concas, Maria Pina; Corley, Janie; Cugliari, Giovanni; Van Dam, Rob M.; Damulina, Anna; Daneshpour, Maryam S.; Day, Felix R.; Delgado, Graciela E.; Dhana, Klodian; Doney, Alexander S. F.; Doerr, Marcus; Doumatey, Ayo P.; Dzimiri, Nduna; Ebenesersdottir, S. Sunna; Elliott, Joshua; Elliott, Paul; Ewert, Ralf; Felix, Janine F.; Fischer, Krista; Freedman, Barry I.; Girotto, Giorgia; Goel, Anuj; Gogele, Martin; Goodarzi, Mark O.; Graff, Mariaelisa; Granot-Hershkovitz, Einat; Grodstein, Francine; Guarrera, Simonetta; Gudbjartsson, Daniel F.; Guity, Kamran; Gunnarsson, Bjarni; Guo, Yu; Hagenaars, Saskia P.; Haiman, Christopher A.; Halevy, Avner; Harris, Tamara B.; Hedayati, Mehdi; van Heel, David A.; Hirata, Makoto; Hofer, Imo; Hsiung, Chao Agnes; Huang, Jinyan; Hung, Yi-Jen; Ikram, M. Arfan; Jagadeesan, Anuradha; Jousilahti, Pekka; Kamatani, Yoichiro; Kanai, Masahiro; Kerrison, Nicola D.; Kessler, Thorsten; Khaw, Kay-Tee; Khor, Chiea Chuen; de Kleijn, Dominique P. V.; Koh, Woon-Puay; Kolcic, Ivana; Kraft, Peter; Kramer, Bernhard K.; Kutalik, Zoltan; Kuusisto, Johanna; Langenberg, Claudia; Launer, Lenore J.; Lawlor, Deborah A.; Lee, I-Te; Lee, Wen-Jane; Lerch, Markus M.; Li, Liming; Liu, Jianjun; Loh, Marie; London, Stephanie J.; Loomis, Stephanie; Lu, Yingchang; Luan, Jian'an; Magi, Reedik; Manichaikul, Ani W.; Manunta, Paolo; Masson, Gisli; Matoba, Nana; Mei, Xue W.; Meisinger, Christa; Meitinger, Thomas; Mezzavilla, Massimo; Milani, Lili; Millwood, Iona Y.; Momozawa, Yukihide; Moore, Amy; Morange, Pierre-Emmanuel; Moreno-Macias, Hortensia; Mori, Trevor A.; Morrison, Alanna C.; Muka, Taulant; Murakami, Yoshinori; Murray, Alison D.; de Mutsert, Renee; Mychaleckyj, Josyf C.; Nalls, Mike A.; Nauck, Matthias; Neville, Matt J.; Nolte, Ilja M.; Ong, Ken K.; Orozco, Lorena; Padmanabhan, Sandosh; Palsson, Gunnar; Pankow, James S.; Pattaro, Cristian; Pattie, Alison; Polasek, Ozren; Poulter, Neil; Pramstaller, Peter P.; Quintana-Murci, Lluis; Räikkönen, Katri; Ralhan, Sarju; Rao, Dabeeru C.; van Rheenen, Wouter; Rich, Stephen S.; Ridker, Paul M.; Rietveld, Cornelius A.; Robino, Antonietta; van Rooij, Frank J. A.; Ruggiero, Daniela; Saba, Yasaman; Sabanayagam, Charumathi; Sabater-Lleal, Maria; Felicita Sala, Cinzia; Salomaa, Veikko; Sandow, Kevin; Schmidt, Helena; Scott, Laura J.; Scott, William R.; Sedaghati-Khayat, Bahareh; Sennblad, Bengt; van Setten, Jessica; Sever, Peter J.; Sheu, Wayne H-H; Shi, Yuan; Shrestha, Smeeta; Shukla, Sharvari Rahul; Sigurdsson, Jon K.; Sikka, Timo Tonis; Singh, Jai Rup; Smith, Blair H.; Stancakova, Alena; Stanton, Alice; Starr, John M.; Stefansdottir, Lilja; Straker, Leon; Sulem, Patrick; Sveinbjornsson, Gardar; Swertz, Morris A.; Taylor, Adele M.; Taylor, Kent D.; Terzikhan, Natalie; Tham, Yih-Chung; Thorleifsson, Gudmar; Thorsteinsdottir, Unnur; Tillander, Annika; Tracy, Russell P.; Tusie-Luna, Teresa; Tzoulaki, Ioanna; Vaccargiu, Simona; Vangipurapu, Jagadish; Veldink, Jan H.; Vitart, Veronique; Volker, Uwe; Vuoksimaa, Eero; Wakil, Salma M.; Waldenberger, Melanie; Wander, Gurpreet S.; Wang, Ya Xing; Wareham, Nicholas J.; Wild, Sarah; Yajnik, Chittaranjan S.; Yuan, Jian-Min; Zeng, Lingyao; Zhang, Liang; Zhou, Jie; Amin, Najaf; Asselbergs, Folkert W.; Bakker, Stephan J. L.; Becker, Diane M.; Lehne, Benjamin; Bennett, David A.; van den Berg, Leonard H.; Berndt, Sonja I.; Bharadwaj, Dwaipayan; Bielak, Lawrence F.; Bochud, Murielle; Boehnke, Mike; Bouchard, Claude; Bradfield, Jonathan P.; Brody, Jennifer A.; Campbell, Archie; Carmi, Shai; Caulfield, Mark J.; Cesarini, David; Chambers, John C.; Chandak, Giriraj Ratan; Cheng, Ching-Yu; Ciullo, Marina; Cornelis, Marilyn; Cusi, Daniele; Smith, George Davey; Deary, Ian J.; Dorajoo, Rajkumar; van Duijn, Cornelia M.; Ellinghaus, David; Erdmann, Jeanette; Eriksson, Johan G.; Evangelou, Evangelos; Evans, Michele K.; Faul, Jessica D.; Feenstra, Bjarke; Feitosa, Mary; Foisy, Sylvain; Franke, Andre; Friedlander, Yechiel; Gasparini, Paolo; Gieger, Christian; Gonzalez, Clicerio; Goyette, Philippe; Grant, Struan F. A.; Griffiths, Lyn R.; Groop, Leif; Gudnason, Vilmundur; Gyllensten, Ulf; Hakonarson, Hakon; Hamsten, Anders; van der Harst, Pim; Heng, Chew-Kiat; Hicks, Andrew A.; Hochner, Hagit; Huikuri, Heikki; Hunt, Steven C.; Jaddoe, Vincent W. V.; De Jager, Philip L.; Johannesson, Magnus; Johansson, Asa; Jonas, Jost B.; Jukema, J. Wouter; Junttila, Juhani; Kaprio, Jaakko; Kardia, Sharon L. R.; Karpe, Fredrik; Kumari, Meena; Laakso, Markku; van der Laan, Sander W.; Lahti, Jari; Laudes, Matthias; Lea, Rodney A.; Lieb, Wolfgang; Lumley, Thomas; Martin, Nicholas G.; Marz, Winfried; Matullo, Giuseppe; McCarthy, Mark I.; Medland, Sarah E.; Merriman, Tony R.; Metspalu, Andres; Meyer, Brian F.; Mohlke, Karen L.; Montgomery, Grant W.; Mook-Kanamori, Dennis; Munroe, Patricia B.; North, Kari E.; Nyholt, Dale R.; O'connell, Jeffery R.; Ober, Carole; Oldehinkel, Albertine J.; Palmas, Walter; Palmer, Colin; Pasterkamp, Gerard G.; Patin, Etienne; Pennell, Craig E.; Perusse, Louis; Peyser, Patricia A.; Pirastu, Mario; Polderman, Tinca J. C.; Porteous, David J.; Posthuma, Danielle; Psaty, Bruce M.; Rioux, John D.; Rivadeneira, Fernando; Rotimi, Charles; Rotter, Jerome I.; Rudan, Igor; Den Ruijter, Hester M.; Sanghera, Dharambir K.; Sattar, Naveed; Schmidt, Reinhold; Schulze, Matthias B.; Schunkert, Heribert; Scott, Robert A.; Shuldiner, Alan R.; Sim, Xueling; Small, Neil; Smith, Jennifer A.; Sotoodehnia, Nona; Tai, E-Shyong; Teumer, Alexander; Timpson, Nicholas J.; Toniolo, Daniela; Tregouet, David-Alexandre; Tuomi, Tiinamaija; Vollenweider, Peter; Wang, Carol A.; Weir, David R.; Whitfield, John B.; Wijmenga, Cisca; Wong, Tien-Yin; Wright, John; Yang, Jingyun; Yu, Lei; Zemel, Babette S.; Zonderman, Alan B.; Perola, Markus; Magnusson, Patrik K. E.; Uitterlinden, Andre G.; Kooner, Jaspal S.; Chasman, Daniel I.; Loos, Ruth J. F.; Franceschini, Nora; Franke, Lude; Haley, Chris S.; Hayward, Caroline; Walters, Robin G.; Perry, John R. B.; Esko, Tonu; Helgason, Agnar; Stefansson, Kari; Joshi, Peter K.; Kubo, Michiaki; Wilson, James F. (2019)
    In many species, the offspring of related parents suffer reduced reproductive success, a phenomenon known as inbreeding depression. In humans, the importance of this effect has remained unclear, partly because reproduction between close relatives is both rare and frequently associated with confounding social factors. Here, using genomic inbreeding coefficients (F-ROH) for >1.4 million individuals, we show that F-ROH is significantly associated (p <0.0005) with apparently deleterious changes in 32 out of 100 traits analysed. These changes are associated with runs of homozygosity (ROH), but not with common variant homozygosity, suggesting that genetic variants associated with inbreeding depression are predominantly rare. The effect on fertility is striking: F-ROH equivalent to the offspring of first cousins is associated with a 55% decrease [95% CI 44-66%] in the odds of having children. Finally, the effects of F-ROH are confirmed within full-sibling pairs, where the variation in F-ROH is independent of all environmental confounding.
  • Peltola, Tomi; Marttinen, Pekka; Jula, Antti; Salomaa, Veikko; Perola, Markus; Vehtari, Aki (2012)