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Dive into the research topics where Bjarke Feenstra is active.

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Featured researches published by Bjarke Feenstra.


Nature Genetics | 2011

Genome-partitioning of genetic variation for complex traits using common SNPs

Jian Yang; Teri A. Manolio; Louis R. Pasquale; Eric Boerwinkle; Neil E. Caporaso; Julie M. Cunningham; Mariza de Andrade; Bjarke Feenstra; Eleanor Feingold; M. Geoffrey Hayes; William G. Hill; Maria Teresa Landi; Alvaro Alonso; Guillaume Lettre; Peng Lin; Hua Ling; William L. Lowe; Rasika A. Mathias; Mads Melbye; Elizabeth W. Pugh; Marilyn C. Cornelis; Bruce S. Weir; Michael E. Goddard; Peter M. Visscher

We estimate and partition genetic variation for height, body mass index (BMI), von Willebrand factor and QT interval (QTi) using 586,898 SNPs genotyped on 11,586 unrelated individuals. We estimate that ∼45%, ∼17%, ∼25% and ∼21% of the variance in height, BMI, von Willebrand factor and QTi, respectively, can be explained by all autosomal SNPs and a further ∼0.5–1% can be explained by X chromosome SNPs. We show that the variance explained by each chromosome is proportional to its length, and that SNPs in or near genes explain more variation than SNPs between genes. We propose a new approach to estimate variation due to cryptic relatedness and population stratification. Our results provide further evidence that a substantial proportion of heritability is captured by common SNPs, that height, BMI and QTi are highly polygenic traits, and that the additive variation explained by a part of the genome is approximately proportional to the total length of DNA contained within genes therein.


Nature Genetics | 2012

Detectable clonal mosaicism from birth to old age and its relationship to cancer

Cathy C. Laurie; Cecelia A. Laurie; Kenneth Rice; Kimberly F. Doheny; Leila R. Zelnick; Caitlin P. McHugh; Hua Ling; Kurt N. Hetrick; Elizabeth W. Pugh; Christopher I. Amos; Qingyi Wei; Li-E Wang; Jeffrey E. Lee; Kathleen C. Barnes; Nadia N. Hansel; Rasika A. Mathias; Denise Daley; Terri H. Beaty; Alan F. Scott; Ingo Ruczinski; Rob Scharpf; Laura J. Bierut; Sarah M. Hartz; Maria Teresa Landi; Neal D. Freedman; Lynn R. Goldin; David Ginsburg; Jun-Jun Li; Karl C. Desch; Sara S. Strom

We detected clonal mosaicism for large chromosomal anomalies (duplications, deletions and uniparental disomy) using SNP microarray data from over 50,000 subjects recruited for genome-wide association studies. This detection method requires a relatively high frequency of cells with the same abnormal karyotype (>5–10%; presumably of clonal origin) in the presence of normal cells. The frequency of detectable clonal mosaicism in peripheral blood is low (<0.5%) from birth until 50 years of age, after which it rapidly rises to 2–3% in the elderly. Many of the mosaic anomalies are characteristic of those found in hematological cancers and identify common deleted regions with genes previously associated with these cancers. Although only 3% of subjects with detectable clonal mosaicism had any record of hematological cancer before DNA sampling, those without a previous diagnosis have an estimated tenfold higher risk of a subsequent hematological cancer (95% confidence interval = 6–18).


Nature Genetics | 2009

Genome-wide association study identifies sequence variants on 6q21 associated with age at menarche

Patrick Sulem; Daniel F. Gudbjartsson; Thorunn Rafnar; Hilma Holm; Elinborg J Olafsdottir; Gudridur Olafsdottir; Thorvaldur Jonsson; Peter Alexandersen; Bjarke Feenstra; Heather A. Boyd; Katja K. Aben; A.L.M. Verbeek; Nel Roeleveld; Aslaug Jonasdottir; Unnur Styrkarsdottir; Valgerdur Steinthorsdottir; Ari Karason; Simon N. Stacey; Julius Gudmundsson; Margret Jakobsdottir; Gudmar Thorleifsson; Gudmundur A. Hardarson; Jeffrey R. Gulcher; Augustine Kong; Lambertus A. Kiemeney; Mads Melbye; Claus Christiansen; Laufey Tryggvadottir; Unnur Thorsteinsdottir; Kari Stefansson

Earlier menarche correlates with shorter adult height and higher childhood body fat. We conducted a genome-wide association study of age at menarche (AAM) on 15,297 Icelandic women. Combined analysis with replication sets from Iceland, Denmark and the Netherlands (N = 10,040) yielded a significant association between rs314280[T] on 6q21, near the LIN28B gene, and AAM (effect = 1.2 months later per allele; P = 1.8 × 10−14). A second SNP within the same linkage disequilibrium (LD) block, rs314277, splits rs314280[T] into two haplotypes with different effects (0.9 months and 1.9 months per allele). These variants have been associated with greater adult height. The association with adult height did not account for the association with AAM or vice versa. Other variants, previously associated with height, did not associate significantly with AAM. Given the link between body fat and AAM, we also assessed 11 variants recently associated with higher body mass index (BMI) and 5 of those associated with earlier AAM.


Genetic Epidemiology | 2010

The Gene, Environment Association Studies Consortium (GENEVA): Maximizing the Knowledge Obtained from GWAS by Collaboration Across Studies of Multiple Conditions

Marilyn C. Cornelis; Arpana Agrawal; John W. Cole; Nadia N. Hansel; Kathleen C. Barnes; Terri H. Beaty; Siiri Bennett; Laura J. Bierut; Eric Boerwinkle; Kimberly F. Doheny; Bjarke Feenstra; Eleanor Feingold; Myriam Fornage; Christopher A. Haiman; Emily L. Harris; M. Geoffrey Hayes; John A. Heit; Frank B. Hu; Jae H. Kang; Cathy C. Laurie; Hua Ling; Teri A. Manolio; Mary L. Marazita; Rasika A. Mathias; Daniel B. Mirel; Justin Paschall; Louis R. Pasquale; Elizabeth W. Pugh; John P. Rice; Jenna Udren

Genome‐wide association studies (GWAS) have emerged as powerful means for identifying genetic loci related to complex diseases. However, the role of environment and its potential to interact with key loci has not been adequately addressed in most GWAS. Networks of collaborative studies involving different study populations and multiple phenotypes provide a powerful approach for addressing the challenges in analysis and interpretation shared across studies. The Gene, Environment Association Studies (GENEVA) consortium was initiated to: identify genetic variants related to complex diseases; identify variations in gene‐trait associations related to environmental exposures; and ensure rapid sharing of data through the database of Genotypes and Phenotypes. GENEVA consists of several academic institutions, including a coordinating center, two genotyping centers and 14 independently designed studies of various phenotypes, as well as several Institutes and Centers of the National Institutes of Health led by the National Human Genome Research Institute. Minimum detectable effect sizes include relative risks ranging from 1.24 to 1.57 and proportions of variance explained ranging from 0.0097 to 0.02. Given the large number of research participants (N>80,000), an important feature of GENEVA is harmonization of common variables, which allow analyses of additional traits. Environmental exposure information available from most studies also enables testing of gene‐environment interactions. Facilitated by its sizeable infrastructure for promoting collaboration, GENEVA has established a unified framework for genotyping, data quality control, analysis and interpretation. By maximizing knowledge obtained through collaborative GWAS incorporating environmental exposure information, GENEVA aims to enhance our understanding of disease etiology, potentially identifying opportunities for intervention. Genet. Epidemiol. 34: 364–372, 2010.


American Journal of Epidemiology | 2009

Maternal Contributions to Preterm Delivery

Heather A. Boyd; Gry Poulsen; Jan Wohlfahrt; Jeffrey C. Murray; Bjarke Feenstra; Mads Melbye

Preterm delivery (PTD) is a complex trait with a significant familial component. However, no specific inheritance patterns have been established. The authors examined the contribution of PTDs in both the womans family and her partners family to her risk of PTD. The authors linked birth information from Danish national registers with pedigree information from the Danish Family Relations Database for 1,107,124 live singleton deliveries occurring from 1978 to 2004. Risk ratios were estimated comparing women with and without various PTD histories. Women with previous PTDs were at greatly increased risk of recurrent PTD (risk ratio = 5.6, 95% confidence interval: 5.5, 5.8); however, their PTD risk was unaffected by a partners history of preterm children with other women. PTDs to a womans mother, full sisters, or maternal half-sisters also increased her PTD risk (risk ratio = 1.6, 95% confidence interval: 1.5, 1.6), whereas PTDs in her paternal half-sisters, the female partners of her male relatives, or members of her partners family did not affect her PTD risk. Inheritance patterns were similar for all gestational ages from very early through late PTD. The substantial portion of PTD risk explained by effects passed through the female line suggests a role for either imprinting or mitochondrial inheritance.


Journal of the National Cancer Institute | 2012

Genome-Wide Association Study of Classical Hodgkin Lymphoma and Epstein–Barr Virus Status–Defined Subgroups

Kevin Y. Urayama; Ruth F. Jarrett; Henrik Hjalgrim; Arjan Diepstra; Yoichiro Kamatani; Amelie Chabrier; Valerie Gaborieau; Anne Boland; Alexandra Nieters; Nikolaus Becker; Lenka Foretova; Yolanda Benavente; Marc Maynadié; Anthony Staines; Lesley Shield; Annette Lake; Dorothy Montgomery; Malcolm Taylor; Karin E. Smedby; Rose-Marie Amini; Hans-Olov Adami; Bengt Glimelius; Bjarke Feenstra; Ilja M. Nolte; Lydia Visser; Gustaaf W. van Imhoff; Tracy Lightfoot; Pierluigi Cocco; Lambertus A. Kiemeney; Sita H. Vermeulen

BACKGROUND Accumulating evidence suggests that risk factors for classical Hodgkin lymphoma (cHL) differ by tumor Epstein-Barr virus (EBV) status. This potential etiological heterogeneity is not recognized in current disease classification. METHODS We conducted a genome-wide association study of 1200 cHL patients and 6417 control subjects, with validation in an independent replication series, to identify common genetic variants associated with total cHL and subtypes defined by tumor EBV status. Multiple logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) assuming a log-additive genetic model for the variants. All statistical tests were two-sided. RESULTS Two novel loci associated with total cHL irrespective of EBV status were identified in the major histocompatibility complex region; one resides adjacent to MICB (rs2248462: OR = 0.61, 95% CI = 0.53 to 0.69, P = 1.3 × 10(-13)) and the other at HLA-DRA (rs2395185: OR = 0.56, 95% CI = 0.50 to 0.62, P = 8.3 × 10(-25)) with both results confirmed in an independent replication series. Consistent with previous reports, associations were found between EBV-positive cHL and genetic variants within the class I region (rs2734986, HLA-A: OR = 2.45, 95% CI = 2.00 to 3.00, P = 1.2 × 10(-15); rs6904029, HCG9: OR = 0.46, 95% CI = 0.36 to 0.59, P = 5.5 × 10(-10)) and between EBV-negative cHL and rs6903608 within the class II region (rs6903608, HLA-DRA: OR = 2.08, 95% CI = 1.84 to 2.35, P = 6.1 × 10(-31)). The association between rs6903608 and EBV-negative cHL was confined to the nodular sclerosis histological subtype. Evidence for an association between EBV-negative cHL and rs20541 (5q31, IL13: OR = 1.53, 95% CI = 1.32 to 1.76, P = 5.4 x 10(-9)), a variant previously linked to psoriasis and asthma, was observed; however, the evidence for replication was less clear. Notably, one additional psoriasis-associated variant, rs27524 (5q15, ERAP1), showed evidence of an association with cHL in the genome-wide association study (OR = 1.21, 95% CI = 1.10 to 1.33, P = 1.5 × 10(-4)) and replication series (P = .03). CONCLUSION Overall, these results provide strong evidence that EBV status is an etiologically important classification of cHL and also suggest that some components of the pathological process are common to both EBV-positive and EBV-negative patients.


Human Molecular Genetics | 2011

Sequence variants at CYP1A1–CYP1A2 and AHR associate with coffee consumption

Patrick Sulem; Daniel F. Gudbjartsson; Frank Geller; Inga Prokopenko; Bjarke Feenstra; Katja K. Aben; Barbara Franke; Martin den Heijer; Peter Kovacs; Michael Stumvoll; Reedik Mägi; Lisa R. Yanek; Lewis C. Becker; Heather A. Boyd; Simon N. Stacey; G. Bragi Walters; Adalbjorg Jonasdottir; Gudmar Thorleifsson; Hilma Holm; Sigurjon A. Gudjonsson; Thorunn Rafnar; Gyda Bjornsdottir; Diane M. Becker; Mads Melbye; Augustine Kong; Anke Tönjes; Thorgeir E. Thorgeirsson; Unnur Thorsteinsdottir; Lambertus A. Kiemeney; Kari Stefansson

Coffee is the most commonly used stimulant and caffeine is its main psychoactive ingredient. The heritability of coffee consumption has been estimated at around 50%. We performed a meta-analysis of four genome-wide association studies of coffee consumption among coffee drinkers from Iceland (n = 2680), The Netherlands (n = 2791), the Sorbs Slavonic population isolate in Germany (n = 771) and the USA (n = 369) using both directly genotyped and imputed single nucleotide polymorphisms (SNPs) (2.5 million SNPs). SNPs at the two most significant loci were also genotyped in a sample set from Iceland (n = 2430) and a Danish sample set consisting of pregnant women (n = 1620). Combining all data, two sequence variants significantly associated with increased coffee consumption: rs2472297-T located between CYP1A1 and CYP1A2 at 15q24 (P = 5.4 · 10(-14)) and rs6968865-T near aryl hydrocarbon receptor (AHR) at 7p21 (P = 2.3 · 10(-11)). An effect of ∼0.2 cups a day per allele was observed for both SNPs. CYP1A2 is the main caffeine metabolizing enzyme and is also involved in drug metabolism. AHR detects xenobiotics, such as polycyclic aryl hydrocarbons found in roasted coffee, and induces transcription of CYP1A1 and CYP1A2. The association of these SNPs with coffee consumption was present in both smokers and non-smokers.


Journal of Dental Research | 2011

Genome-wide Association Scan for Childhood Caries Implicates Novel Genes

John R. Shaffer; Xiao Jing Wang; Eleanor Feingold; Myoungkeun Lee; Ferdouse Begum; Daniel E. Weeks; Karen T. Cuenco; M. Michael Barmada; Steven K. Wendell; David R. Crosslin; Cathy C. Laurie; Kim Doheny; Elizabeth W. Pugh; Qi Zhang; Bjarke Feenstra; Frank Geller; Heather A. Boyd; H. Zhang; Mads Melbye; Jeffrey C. Murray; Robert J. Weyant; Richard J. Crout; Daniel W. McNeil; Steven M. Levy; Rebecca L. Slayton; Marcia C. Willing; Barbara Broffitt; Alexandre R. Vieira; Mary L. Marazita

Dental caries is the most common chronic disease in children and a major public health concern due to its increasing incidence, serious health and social co-morbidities, and socio-demographic disparities in disease burden. We performed the first genome-wide association scan for dental caries to identify associated genetic loci and nominate candidate genes affecting tooth decay in 1305 US children ages 3-12 yrs. Affection status was defined as 1 or more primary teeth with evidence of decay based on intra-oral examination. No associations met strict criteria for genome-wide significance (p < 10E-7); however, several loci (ACTN2, MTR, and EDARADD, MPPED2, and LPO) with plausible biological roles in dental caries exhibited suggestive evidence for association. Analyses stratified by home fluoride level yielded additional suggestive loci, including TFIP11 in the low-fluoride group, and EPHA7 and ZMPSTE24 in the sufficient-fluoride group. Suggestive loci were tested but not significantly replicated in an independent sample (N = 1695, ages 2-7 yrs) after adjustment for multiple comparisons. This study reinforces the complexity of dental caries, suggesting that numerous loci, mostly having small effects, are involved in cariogenesis. Verification/replication of suggestive loci may highlight biological mechanisms and/or pathways leading to a fuller understanding of the genetic risks for dental caries.


Nature Genetics | 2014

Genome-wide association analyses identify variants in developmental genes associated with hypospadias

Frank Geller; Bjarke Feenstra; Lisbeth Carstensen; Tune H. Pers; Iris van Rooij; Izabella Baranowska Körberg; Shweta Choudhry; Juha Karjalainen; Tine H. Schnack; Mads V. Hollegaard; W.F.J. Feitz; Nel Roeleveld; David M. Hougaard; Joel N. Hirschhorn; Lude Franke; Laurence S. Baskin; Agneta Nordenskjöld; Loes F.M. van der Zanden; Mads Melbye

Hypospadias is a common congenital condition in boys in which the urethra opens on the underside of the penis. We performed a genome-wide association study on 1,006 surgery-confirmed hypospadias cases and 5,486 controls from Denmark. After replication genotyping of an additional 1,972 cases and 1,812 controls from Denmark, the Netherlands and Sweden, 18 genomic regions showed independent association with P < 5 × 10−8. Together, these loci explain 9% of the liability to developing this condition. Several of the identified regions harbor genes with key roles in embryonic development (including HOXA4, IRX5, IRX6 and EYA1). Subsequent pathway analysis with GRAIL and DEPICT provided additional insight into possible genetic mechanisms causing hypospadias.


Nature Genetics | 2014

Common variants associated with general and MMR vaccine-related febrile seizures

Bjarke Feenstra; Björn Pasternak; Frank Geller; Lisbeth Carstensen; Tongfei Wang; Fen Huang; Jennifer L. Eitson; Mads V. Hollegaard; Henrik Svanström; Mogens Vestergaard; David M. Hougaard; John W. Schoggins; Lily Yeh Jan; Mads Melbye; Anders Hviid

Febrile seizures represent a serious adverse event following measles, mumps and rubella (MMR) vaccination. We conducted a series of genome-wide association scans comparing children with MMR-related febrile seizures, children with febrile seizures unrelated to vaccination and controls with no history of febrile seizures. Two loci were distinctly associated with MMR-related febrile seizures, harboring the interferon-stimulated gene IFI44L (rs273259: P = 5.9 × 10−12 versus controls, P = 1.2 × 10−9 versus MMR-unrelated febrile seizures) and the measles virus receptor CD46 (rs1318653: P = 9.6 × 10−11 versus controls, P = 1.6 × 10−9 versus MMR-unrelated febrile seizures). Furthermore, four loci were associated with febrile seizures in general, implicating the sodium channel genes SCN1A (rs6432860: P = 2.2 × 10−16) and SCN2A (rs3769955: P = 3.1 × 10−10), a TMEM16 family gene (ANO3; rs114444506: P = 3.7 × 10−20) and a region associated with magnesium levels (12q21.33; rs11105468: P = 3.4 × 10−11). Finally, we show the functional relevance of ANO3 (TMEM16C) with electrophysiological experiments in wild-type and knockout rats.

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Mads Melbye

Statens Serum Institut

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Ellen Aagaard Nohr

University of Southern Denmark

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