Diana L. Cousminer
University of Pennsylvania
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Publication
Featured researches published by Diana L. Cousminer.
Nature Genetics | 2012
Jonathan P. Bradfield; H R Taal; N. J. Timpson; André Scherag; Cécile Lecoeur; Nicole M. Warrington; Elina Hyppönen; Claus Holst; Beatriz Valcárcel; Elisabeth Thiering; Rany M. Salem; Frederick R. Schumacher; Diana L. Cousminer; Pma Sleiman; Jianhua Zhao; Robert I. Berkowitz; Karani Santhanakrishnan Vimaleswaran; Ivonne Jarick; Craig E. Pennell; David Evans; B. St Pourcain; Diane J. Berry; Dennis O. Mook-Kanamori; Albert Hofman; Fernando Rivadeneira; A.G. Uitterlinden; C. M. van Duijn; Rjp van der Valk; J. C. de Jongste; Dirkje S. Postma
Multiple genetic variants have been associated with adult obesity and a few with severe obesity in childhood; however, less progress has been made in establishing genetic influences on common early-onset obesity. We performed a North American, Australian and European collaborative meta-analysis of 14 studies consisting of 5,530 cases (≥95th percentile of body mass index (BMI)) and 8,318 controls (<50th percentile of BMI) of European ancestry. Taking forward the eight newly discovered signals yielding association with P < 5 × 10−6 in nine independent data sets (2,818 cases and 4,083 controls), we observed two loci that yielded genome-wide significant combined P values near OLFM4 at 13q14 (rs9568856; P = 1.82 × 10−9; odds ratio (OR) = 1.22) and within HOXB5 at 17q21 (rs9299; P = 3.54 × 10−9; OR = 1.14). Both loci continued to show association when two extreme childhood obesity cohorts were included (2,214 cases and 2,674 controls). These two loci also yielded directionally consistent associations in a previous meta-analysis of adult BMI.
Molecular Psychiatry | 2012
M.H.M. de Moor; Paul T. Costa; Antonio Terracciano; Robert F. Krueger; E.J.C. de Geus; T Toshiko; Brenda W. J. H. Penninx; Tonu Esko; P. A. F. Madden; Jaime Derringer; Najaf Amin; Gonneke Willemsen; J.J. Hottenga; Marijn A. Distel; Manuela Uda; Serena Sanna; Philip Spinhoven; C. A. Hartman; Patrick F. Sullivan; Anu Realo; Jüri Allik; A. C. Heath; Michele L. Pergadia; Arpana Agrawal; Peng Lin; Richard A. Grucza; Teresa Nutile; Marina Ciullo; Dan Rujescu; Ina Giegling
Personality can be thought of as a set of characteristics that influence peoples thoughts, feelings and behavior across a variety of settings. Variation in personality is predictive of many outcomes in life, including mental health. Here we report on a meta-analysis of genome-wide association (GWA) data for personality in 10 discovery samples (17 375 adults) and five in silico replication samples (3294 adults). All participants were of European ancestry. Personality scores for Neuroticism, Extraversion, Openness to Experience, Agreeableness and Conscientiousness were based on the NEO Five-Factor Inventory. Genotype data of ∼2.4M single-nucleotide polymorphisms (SNPs; directly typed and imputed using HapMap data) were available. In the discovery samples, classical association analyses were performed under an additive model followed by meta-analysis using the weighted inverse variance method. Results showed genome-wide significance for Openness to Experience near the RASA1 gene on 5q14.3 (rs1477268 and rs2032794, P=2.8 × 10−8 and 3.1 × 10−8) and for Conscientiousness in the brain-expressed KATNAL2 gene on 18q21.1 (rs2576037, P=4.9 × 10−8). We further conducted a gene-based test that confirmed the association of KATNAL2 to Conscientiousness. In silico replication did not, however, show significant associations of the top SNPs with Openness and Conscientiousness, although the direction of effect of the KATNAL2 SNP on Conscientiousness was consistent in all replication samples. Larger scale GWA studies and alternative approaches are required for confirmation of KATNAL2 as a novel gene affecting Conscientiousness.
Human Molecular Genetics | 2013
Diana L. Cousminer; Diane J. Berry; Nicholas J. Timpson; Wei Ang; Elisabeth Thiering; Enda M. Byrne; H. Rob Taal; Ville Huikari; Jonathan P. Bradfield; Marjan Kerkhof; Maria M. Groen-Blokhuis; Eskil Kreiner-Møller; Marcella Marinelli; Claus Holst; Jaakko Leinonen; John Perry; Ida Surakka; Olli Pietiläinen; Johannes Kettunen; Verneri Anttila; Marika Kaakinen; Ulla Sovio; Anneli Pouta; Shikta Das; Vasiliki Lagou; Chris Power; Inga Prokopenko; David Evans; John P. Kemp; Beate St Pourcain
The pubertal height growth spurt is a distinctive feature of childhood growth reflecting both the central onset of puberty and local growth factors. Although little is known about the underlying genetics, growth variability during puberty correlates with adult risks for hormone-dependent cancer and adverse cardiometabolic health. The only gene so far associated with pubertal height growth, LIN28B, pleiotropically influences childhood growth, puberty and cancer progression, pointing to shared underlying mechanisms. To discover genetic loci influencing pubertal height and growth and to place them in context of overall growth and maturation, we performed genome-wide association meta-analyses in 18 737 European samples utilizing longitudinally collected height measurements. We found significant associations (P < 1.67 × 10(-8)) at 10 loci, including LIN28B. Five loci associated with pubertal timing, all impacting multiple aspects of growth. In particular, a novel variant correlated with expression of MAPK3, and associated both with increased prepubertal growth and earlier menarche. Another variant near ADCY3-POMC associated with increased body mass index, reduced pubertal growth and earlier puberty. Whereas epidemiological correlations suggest that early puberty marks a pathway from rapid prepubertal growth to reduced final height and adult obesity, our study shows that individual loci associating with pubertal growth have variable longitudinal growth patterns that may differ from epidemiological observations. Overall, this study uncovers part of the complex genetic architecture linking pubertal height growth, the timing of puberty and childhood obesity and provides new information to pinpoint processes linking these traits.
American Journal of Human Genetics | 2010
Elisabeth Widen; Samuli Ripatti; Diana L. Cousminer; Ida Surakka; Tuuli Lappalainen; Marjo-Riitta Järvelin; Johan G. Eriksson; Olli T. Raitakari; Veikko Salomaa; Ulla Sovio; Anna-Liisa Hartikainen; Anneli Pouta; Mark McCarthy; Clive Osmond; Eero Kajantie; Terho Lehtimäki; Jorma Viikari; Mika Kähönen; Chris Tyler-Smith; Nelson B. Freimer; Joel N. Hirschhorn; Leena Peltonen; Aarno Palotie
We have studied the largely unknown genetic underpinnings of height growth by using a unique resource of longitudinal childhood height data available in Finnish population cohorts. After applying GWAS mapping of potential genes influencing pubertal height growth followed by further characterization of the genetic effects on complete postnatal growth trajectories, we have identified strong association between variants near LIN28B and pubertal growth (rs7759938; female p = 4.0 x 10(-9), male p = 1.5 x 10(-4), combined p = 5.0 x 10(-11), n = 5038). Analysis of growth during early puberty confirmed an effect on the timing of the growth spurt. Correlated SNPs have previously been implicated as influencing both adult stature and age at menarche, the same alleles associating with taller height and later age of menarche in other studies as with later pubertal growth here. Additionally, a partially correlated LIN28B SNP, rs314277, has been associated previously with final height. Testing both rs7759938 and rs314277 (pairwise r(2) = 0.29) for independent effects on postnatal growth in 8903 subjects indicated that the pubertal timing-associated marker rs7759938 affects prepubertal growth in females (p = 7 x 10(-5)) and final height in males (p = 5 x 10(-4)), whereas rs314277 has sex-specific effects on growth (p for interaction = 0.005) that were distinct from those observed at rs7759938. In conclusion, partially correlated variants at LIN28B tag distinctive, complex, and sex-specific height-growth-regulating effects, influencing the entire period of postnatal growth. These findings imply a critical role for LIN28B in the regulation of human growth.
Translational Psychiatry | 2011
Christel M. Middeldorp; M.H.M. de Moor; Lauren M. McGrath; Sarah Gordon; Douglas Blackwood; Paul T. Costa; Antonio Terracciano; Robert F. Krueger; E.J.C. de Geus; Dale R. Nyholt; Toshiko Tanaka; Tonu Esko; P. A. F. Madden; Jaime Derringer; Najaf Amin; Gonneke Willemsen; J.J. Hottenga; Marijn A. Distel; Manuela Uda; Serena Sanna; Philip Spinhoven; C. A. Hartman; Stephan Ripke; P. F. Sullivan; Anu Realo; Jüri Allik; A. C. Heath; Michele L. Pergadia; Arpana Agrawal; Peng Lin
The relationship between major depressive disorder (MDD) and bipolar disorder (BD) remains controversial. Previous research has reported differences and similarities in risk factors for MDD and BD, such as predisposing personality traits. For example, high neuroticism is related to both disorders, whereas openness to experience is specific for BD. This study examined the genetic association between personality and MDD and BD by applying polygenic scores for neuroticism, extraversion, openness to experience, agreeableness and conscientiousness to both disorders. Polygenic scores reflect the weighted sum of multiple single-nucleotide polymorphism alleles associated with the trait for an individual and were based on a meta-analysis of genome-wide association studies for personality traits including 13 835 subjects. Polygenic scores were tested for MDD in the combined Genetic Association Information Network (GAIN-MDD) and MDD2000+ samples (N=8921) and for BD in the combined Systematic Treatment Enhancement Program for Bipolar Disorder and Wellcome Trust Case–Control Consortium samples (N=6329) using logistic regression analyses. At the phenotypic level, personality dimensions were associated with MDD and BD. Polygenic neuroticism scores were significantly positively associated with MDD, whereas polygenic extraversion scores were significantly positively associated with BD. The explained variance of MDD and BD, ∼0.1%, was highly comparable to the variance explained by the polygenic personality scores in the corresponding personality traits themselves (between 0.1 and 0.4%). This indicates that the proportions of variance explained in mood disorders are at the upper limit of what could have been expected. This study suggests shared genetic risk factors for neuroticism and MDD on the one hand and for extraversion and BD on the other.
Diabetes Care | 2012
Elisabeth Widen; Karri Silventoinen; Ulla Sovio; Samuli Ripatti; Diana L. Cousminer; Anna-Liisa Hartikainen; Jaana Laitinen; Anneli Pouta; Jaakko Kaprio; Marjo-Riitta Järvelin; Leena Peltonen; Aarno Palotie
OBJECTIVE Early pubertal onset in females is associated with increased risk for adult obesity and cardiovascular disease, but whether this relationship is independent of preceding childhood growth events is unclear. Furthermore, the association between male puberty and adult disease remains unknown. To clarify the link between puberty and adult health, we evaluated the relationship between pubertal timing and risk factors for type 2 diabetes and cardiovascular disease in both males and females from a large, prospective, and randomly ascertained birth cohort from Northern Finland. RESEARCH DESIGN AND METHODS Pubertal timing was estimated based on pubertal height growth in 5,058 subjects (2,417 males and 2,641 females), and the relationship between puberty and body weight, glucose and lipid homeostasis, and blood pressure at age 31 years was evaluated with linear regression modeling. RESULTS Earlier pubertal timing associated with higher adult BMI, fasting insulin, diastolic blood pressure, and decreased HDL cholesterol in both sexes (P < 0.002) and with higher total serum cholesterol, LDL cholesterol, and triglycerides in males. The association with BMI and diastolic blood pressure remained statistically significant in both sexes, as did the association with insulin levels and HDL cholesterol concentrations in males after adjusting for covariates reflecting both fetal and childhood growth including childhood BMI. CONCLUSIONS We demonstrate independent association between earlier pubertal timing and adult metabolic syndrome-related derangements both in males and females. The connection emphasizes that the mechanisms advancing puberty may also contribute to adult metabolic disorders.
American Journal of Epidemiology | 2013
Lindsay Fernández-Rhodes; Ellen W. Demerath; Diana L. Cousminer; Ran Tao; Jill Dreyfus; Tonu Esko; Albert V. Smith; Vilmundur Gudnason; Tamara B. Harris; Lenore Launer; Patrick F. McArdle; Laura M. Yerges-Armstrong; Cathy E. Elks; David P. Strachan; Zoltán Kutalik; Peter Vollenweider; Bjarke Feenstra; Heather A. Boyd; Andres Metspalu; Evelin Mihailov; Linda Broer; M. Carola Zillikens; Ben A. Oostra; Cornelia M. van Duijn; Kathryn L. Lunetta; John R B Perry; Anna Murray; Daniel L. Koller; Dongbing Lai; Tanguy Corre
Obesity is of global health concern. There are well-described inverse relationships between female pubertal timing and obesity. Recent genome-wide association studies of age at menarche identified several obesity-related variants. Using data from the ReproGen Consortium, we employed meta-analytical techniques to estimate the associations of 95 a priori and recently identified obesity-related (body mass index (weight (kg)/height (m)(2)), waist circumference, and waist:hip ratio) single-nucleotide polymorphisms (SNPs) with age at menarche in 92,116 women of European descent from 38 studies (1970-2010), in order to estimate associations between genetic variants associated with central or overall adiposity and pubertal timing in girls. Investigators in each study performed a separate analysis of associations between the selected SNPs and age at menarche (ages 9-17 years) using linear regression models and adjusting for birth year, site (as appropriate), and population stratification. Heterogeneity of effect-measure estimates was investigated using meta-regression. Six novel associations of body mass index loci with age at menarche were identified, and 11 adiposity loci previously reported to be associated with age at menarche were confirmed, but none of the central adiposity variants individually showed significant associations. These findings suggest complex genetic relationships between menarche and overall obesity, and to a lesser extent central obesity, in normal processes of growth and development.
BMC Medicine | 2017
Rajashree Mishra; Alessandra Chesi; Diana L. Cousminer; Mohammad I. Hawa; Jonathan P. Bradfield; Kenyaita M. Hodge; Vanessa C. Guy; Hakon Hakonarson; Didac Mauricio; Nanette C. Schloot; Knud Bonnet Yderstræde; Benjamin F. Voight; Stanley Schwartz; Bernhard O. Boehm; Richard David Leslie; Struan F. A. Grant
BackgroundIn adulthood, autoimmune diabetes can present as non-insulin-requiring diabetes, termed as ‘latent autoimmune diabetes in adults’ (LADA). In this study, we investigated established type 1 diabetes (T1D) and type 2 diabetes (T2D) genetic loci in a large cohort of LADA cases to assess where LADA is situated relative to these two well-characterized, classic forms of diabetes.MethodsWe tested the association of T1D and T2D GWAS-implicated loci in 978 LADA cases and 1057 non-diabetic controls of European ancestry using a linear mixed model. We then compared the associations of T1D and T2D loci between LADA and T1D and T2D cases, respectively. We quantified the difference in genetic risk between each given disease at each locus, and also calculated genetic risk scores to quantify how genetic liability to T1D and T2D distinguished LADA cases from controls.ResultsOverall, our results showed that LADA is genetically more similar to T1D, with the exception of an association at the T2D HNF1A locus. Several T1D loci were associated with LADA, including the major histocompatibility complex region, as well as at PTPN22, SH2B3, and INS. Contrary to previous studies, the key T2D risk allele at TCF7L2 (rs7903146-T) had a significantly lower frequency in LADA cases, suggesting that this locus does not play a role in LADA etiology. When constrained on antibody status, the similarity between LADA and T1D became more apparent; however, the HNF1A and TCF7L2 observations persisted.ConclusionLADA is genetically closer to T1D than T2D, although the genetic load of T1D risk alleles is less than childhood-onset T1D, particularly at the major histocompatibility complex region, potentially accounting for the later disease onset. Our results show that the genetic spectrum of T1D extends into adult-onset diabetes, where it can clinically masquerade as T2D. Furthermore, T2D genetic risk plays a small role in LADA, with a degree of evidence for the HNF1A locus, highlighting the potential for genetic risk scores to contribute towards defining diabetes subtypes.
Current Opinion in Endocrinology, Diabetes and Obesity | 2016
Diana L. Cousminer; Elisabeth Widen; Mark R. Palmert
Purpose of reviewThis article overviews advances in the genetics of puberty based on studies in the general population, describes evidence for sex-specific genetic effects on pubertal timing, and briefly reviews possible mechanisms mediating sexually dimorphic genetic effects. Recent findingsPubertal timing is highly polygenic, and many loci are conserved among ethnicities. A number of identified loci underlie both pubertal timing and related traits such as height and BMI. It is increasingly apparent that understanding the factors modulating the onset of puberty is important because the timing of this developmental stage is associated with a wider range of adult health outcomes than previously appreciated. Although most of the genetic effects underlying the timing of puberty are common between boys and girls, some effects show sex-specificity and many are epigenetically modulated. Several potential mechanisms, including hormone-independent ones, may be responsible for observed sex differences. SummaryStudies of pubertal timing in the general population have provided new knowledge about the genetic architecture of this complex trait. Increasing attention paid to sex-specific effects may provide key insights into the sexual dimorphism in pubertal timing and even into the associations between puberty and adult health risks by identifying common underlying biological pathways.
bonekey Reports | 2016
Jonathan A. Mitchell; Diana L. Cousminer; Babette S. Zemel; Struan F. A. Grant; Alessandra Chesi
Osteoporosis is one of the most common chronic forms of disability in postmenopausal women and represents a major health burden around the world. Bone fragility is affected by bone mineral density (BMD), and, one of the most important factors in preventing osteoporosis is optimizing peak bone mass, which is achieved during growth in childhood and adolescence. BMD is a complex trait resulting from environmental and genetic factors. Genome-wide association studies have discovered robust genetic signals influencing BMD in adults, and similar studies have also been conducted to investigate the genetics of BMD in the pediatric setting. These latter studies have revealed that many adult osteoporosis-related loci also regulate BMD during growth. These investigations have the potential to profoundly impact public health and will allow for the eventual development of effective interventions for the prevention of osteoporosis.