Aurélien Macé
University of Lausanne
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Featured researches published by Aurélien Macé.
JAMA Psychiatry | 2016
Debra D'Angelo; Sébastien Lebon; Qixuan Chen; Sandra Martin-Brevet; LeeAnne Green Snyder; Loyse Hippolyte; Ellen Hanson; Anne M. Maillard; W. Andrew Faucett; Aurélien Macé; Aurélie Pain; Raphael Bernier; Samuel Chawner; Albert David; Joris Andrieux; Elizabeth H. Aylward; Genevieve Baujat; Ines Caldeira; Philippe Conus; Carrina Ferrari; Francesca Forzano; Marion Gerard; Robin P. Goin-Kochel; Ellen Grant; Jill V. Hunter; Bertrand Isidor; Aurélia Jacquette; Aia Elise Jønch; Boris Keren; Didier Lacombe
IMPORTANCE The 16p11.2 BP4-BP5 duplication is the copy number variant most frequently associated with autism spectrum disorder (ASD), schizophrenia, and comorbidities such as decreased body mass index (BMI). OBJECTIVES To characterize the effects of the 16p11.2 duplication on cognitive, behavioral, medical, and anthropometric traits and to understand the specificity of these effects by systematically comparing results in duplication carriers and reciprocal deletion carriers, who are also at risk for ASD. DESIGN, SETTING, AND PARTICIPANTS This international cohort study of 1006 study participants compared 270 duplication carriers with their 102 intrafamilial control individuals, 390 reciprocal deletion carriers, and 244 deletion controls from European and North American cohorts. Data were collected from August 1, 2010, to May 31, 2015 and analyzed from January 1 to August 14, 2015. Linear mixed models were used to estimate the effect of the duplication and deletion on clinical traits by comparison with noncarrier relatives. MAIN OUTCOMES AND MEASURES Findings on the Full-Scale IQ (FSIQ), Nonverbal IQ, and Verbal IQ; the presence of ASD or other DSM-IV diagnoses; BMI; head circumference; and medical data. RESULTS Among the 1006 study participants, the duplication was associated with a mean FSIQ score that was lower by 26.3 points between proband carriers and noncarrier relatives and a lower mean FSIQ score (16.2-11.4 points) in nonproband carriers. The mean overall effect of the deletion was similar (-22.1 points; P < .001). However, broad variation in FSIQ was found, with a 19.4- and 2.0-fold increase in the proportion of FSIQ scores that were very low (≤40) and higher than the mean (>100) compared with the deletion group (P < .001). Parental FSIQ predicted part of this variation (approximately 36.0% in hereditary probands). Although the frequency of ASD was similar in deletion and duplication proband carriers (16.0% and 20.0%, respectively), the FSIQ was significantly lower (by 26.3 points) in the duplication probands with ASD. There also were lower head circumference and BMI measurements among duplication carriers, which is consistent with the findings of previous studies. CONCLUSIONS AND RELEVANCE The mean effect of the duplication on cognition is similar to that of the reciprocal deletion, but the variance in the duplication is significantly higher, with severe and mild subgroups not observed with the deletion. These results suggest that additional genetic and familial factors contribute to this variability. Additional studies will be necessary to characterize the predictors of cognitive deficits.
Frontiers in Genetics | 2013
Armand Valsesia; Aurélien Macé; Sébastien Jacquemont; Jacques S. Beckmann; Zoltán Kutalik
Differences between genomes can be due to single nucleotide variants, translocations, inversions, and copy number variants (CNVs, gain or loss of DNA). The latter can range from sub-microscopic events to complete chromosomal aneuploidies. Small CNVs are often benign but those larger than 500 kb are strongly associated with morbid consequences such as developmental disorders and cancer. Detecting CNVs within and between populations is essential to better understand the plasticity of our genome and to elucidate its possible contribution to disease. Hence there is a need for better-tailored and more robust tools for the detection and genome-wide analyses of CNVs. While a link between a given CNV and a disease may have often been established, the relative CNV contribution to disease progression and impact on drug response is not necessarily understood. In this review we discuss the progress, challenges, and limitations that occur at different stages of CNV analysis from the detection (using DNA microarrays and next-generation sequencing) and identification of recurrent CNVs to the association with phenotypes. We emphasize the importance of germline CNVs and propose strategies to aid clinicians to better interpret structural variations and assess their clinical implications.
Biological Psychiatry | 2016
Loyse Hippolyte; Anne M. Maillard; Borja Rodríguez-Herreros; Aurélie Pain; Sandra Martin-Brevet; Carina Ferrari; Philippe Conus; Aurélien Macé; Nouchine Hadjikhani; Andres Metspalu; Anu Reigo; Anneli Kolk; Katrin Männik; Mandy Barker; Bertrand Isidor; Cédric Le Caignec; Cyril Mignot; Laurence Schneider; Laurent Mottron; Boris Keren; Albert David; Martine Doco-Fenzy; Marion Gerard; Raphael Bernier; Robin P. Goin-Kochel; Ellen Hanson; Lee Anne Green Snyder; Franck Ramus; Jacques S. Beckmann; Bogdan Draganski
BACKGROUND Deletions and duplications of the 16p11.2 BP4-BP5 locus are prevalent copy number variations (CNVs), highly associated with autism spectrum disorder and schizophrenia. Beyond language and global cognition, neuropsychological assessments of these two CNVs have not yet been reported. METHODS This study investigates the relationship between the number of genomic copies at the 16p11.2 locus and cognitive domains assessed in 62 deletion carriers, 44 duplication carriers, and 71 intrafamilial control subjects. RESULTS IQ is decreased in deletion and duplication carriers, but we demonstrate contrasting cognitive profiles in these reciprocal CNVs. Deletion carriers present with severe impairments of phonology and of inhibition skills beyond what is expected for their IQ level. In contrast, for verbal memory and phonology, the data may suggest that duplication carriers outperform intrafamilial control subjects with the same IQ level. This finding is reminiscent of special isolated skills as well as contrasting language performance observed in autism spectrum disorder. Some domains, such as visuospatial and working memory, are unaffected by the 16p11.2 locus beyond the effect of decreased IQ. Neuroimaging analyses reveal that measures of inhibition covary with neuroanatomic structures previously identified as sensitive to 16p11.2 CNVs. CONCLUSIONS The simultaneous study of reciprocal CNVs suggests that the 16p11.2 genomic locus modulates specific cognitive skills according to the number of genomic copies. Further research is warranted to replicate these findings and elucidate the molecular mechanisms modulating these cognitive performances.
Bioinformatics | 2016
Aurélien Macé; Marcus A. Tuke; Jacques S. Beckmann; Li Lin; Sébastien Jacquemont; Michael N. Weedon; Alexandre Reymond; Zoltán Kutalik
MOTIVATION Only a few large systematic studies have evaluated the impact of copy number variants (CNVs) on common diseases. Several million individuals have been genotyped on single nucleotide variation arrays, which could be used for genome-wide CNVs association studies. However, CNV calls remain prone to false positives and only empirical filtering strategies exist in the literature. To overcome this issue, we defined a new quality score (QS) estimating the probability of a CNV called by PennCNV to be confirmed by other software. RESULTS Out-of-sample comparison showed that the correlation between the consensus CNV status and the QS is twice as high as it is for any previously proposed CNV filters. ROC curves displayed an AUC higher than 0.8 and simulations showed an increase up to 20% in statistical power when using QS in comparison to other filtering strategies. Superior performance was confirmed also for alternative consensus CNV definition and through improving known CNV-trait associations. AVAILABILITY AND IMPLEMENTATION http://goo.gl/T6yuFM CONTACT: [email protected] or aurelien@[email protected] information: Supplementary data are available at Bioinformatics online.
Journal of The American Society of Nephrology | 2017
Tanguy Corre; Francisco J. Arjona; Caroline Hayward; Sonia Youhanna; Jeroen H. F. de Baaij; Hendrica Belge; Nadine Nägele; Huguette Debaix; Maxime G. Blanchard; Michela Traglia; Sarah E. Harris; Sheila Ulivi; Rico Rueedi; David Lamparter; Aurélien Macé; Cinzia Sala; Stefania Lenarduzzi; Belen Ponte; Menno Pruijm; Daniel Ackermann; Georg Ehret; Daniela Baptista; Ozren Polasek; Igor Rudan; Toby W. Hurd; Nicholas D. Hastie; Veronique Vitart; Gérard Waeber; Zoltán Kutalik; Sven Bergmann
Magnesium (Mg2+) homeostasis is critical for metabolism. However, the genetic determinants of the renal handling of Mg2+, which is crucial for Mg2+ homeostasis, and the potential influence on metabolic traits in the general population are unknown. We obtained plasma and urine parameters from 9099 individuals from seven cohorts, and conducted a genome-wide meta-analysis of Mg2+ homeostasis. We identified two loci associated with urinary magnesium (uMg), rs3824347 (P=4.4×10-13) near TRPM6, which encodes an epithelial Mg2+ channel, and rs35929 (P=2.1×10-11), a variant of ARL15, which encodes a GTP-binding protein. Together, these loci account for 2.3% of the variation in 24-hour uMg excretion. In human kidney cells, ARL15 regulated TRPM6-mediated currents. In zebrafish, dietary Mg2+ regulated the expression of the highly conserved ARL15 ortholog arl15b, and arl15b knockdown resulted in renal Mg2+ wasting and metabolic disturbances. Finally, ARL15 rs35929 modified the association of uMg with fasting insulin and fat mass in a general population. In conclusion, this combined observational and experimental approach uncovered a gene-environment interaction linking Mg2+ deficiency to insulin resistance and obesity.
Nature Communications | 2018
Adrienne Tin; Yong Li; Jennifer A. Brody; Teresa Nutile; Audrey Y. Chu; Jennifer E. Huffman; Qiong Yang; Ming-Huei Chen; Cassianne Robinson-Cohen; Aurélien Macé; Jun Liu; Ayse Demirkan; Rossella Sorice; Sanaz Sedaghat; Melody Swen; Bing Yu; Sahar Ghasemi; Alexanda Teumer; Peter Vollenweider; Marina Ciullo; Meng Li; André G. Uitterlinden; Robert Kraaij; Najaf Amin; Jeroen van Rooij; Zoltán Kutalik; Abbas Dehghan; Barbara McKnight; Cornelia M. van Duijn; Alanna C. Morrison
Elevated serum urate levels can cause gout, an excruciating disease with suboptimal treatment. Previous GWAS identified common variants with modest effects on serum urate. Here we report large-scale whole-exome sequencing association studies of serum urate and kidney function among ≤19,517 European ancestry and African-American individuals. We identify aggregate associations of low-frequency damaging variants in the urate transporters SLC22A12 (URAT1; p = 1.3 × 10−56) and SLC2A9 (p = 4.5 × 10−7). Gout risk in rare SLC22A12 variant carriers is halved (OR = 0.5, p = 4.9 × 10−3). Selected rare variants in SLC22A12 are validated in transport studies, confirming three as loss-of-function (R325W, R405C, and T467M) and illustrating the therapeutic potential of the new URAT1-blocker lesinurad. In SLC2A9, mapping of rare variants of large effects onto the predicted protein structure reveals new residues that may affect urate binding. These findings provide new insights into the genetic architecture of serum urate, and highlight molecular targets in SLC22A12 and SLC2A9 for lowering serum urate and preventing gout.Elevated serum urate levels are a risk factor for gout. Here, Tin et al. perform whole-exome sequencing in 19,517 individuals and detect low-frequency genetic variants in urate transporter genes, SLC22A12 and SLC2A9, associated with serum urate levels and confirm their damaging nature in vitro and in silico.
JAMA | 2015
Katrin Männik; Reedik Mägi; Aurélien Macé; Ben Cole; Anna L. Guyatt; Hashem A. Shihab; Anne M. Maillard; Helene Alavere; Anneli Kolk; Anu Reigo; Evelin Mihailov; Liis Leitsalu; Anne-Maud Ferreira; Margit Nõukas; Alexander Teumer; Erika Salvi; Daniele Cusi; Matt McGue; William G. Iacono; Tom R. Gaunt; Jacques S. Beckmann; Sébastien Jacquemont; Zoltán Kutalik; Nathan Pankratz; Nicholas J. Timpson; Andres Metspalu; Alexandre Reymond
Methods of Molecular Biology | 2018
Aurélien Macé; Zoltán Kutalik; Armand Valsesia
Obstetrical & Gynecological Survey | 2015
Katrin Männik; Reedik Mägi; Aurélien Macé; Ben Cole; Anna L. Guyatt; Hashem A. Shihab; Anne M. Maillard; Helene Alavere; Anneli Kolk; Anu Reigo; Evelin Mihailov; Liis Leitsalu; Anne Maud Ferreira; Margit Nõukas; Alexander Teumer; Erika Salvi; Daniele Cusi; Matt McGue; William G. Iacono; Tom R. Gaunt; Jacques S. Beckmann; Sébastien Jacquemont; Zoltán Kutalik; Nathan Pankratz; Nicholas J. Timpson; Andres Metspalu; Alexandre Reymond