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9 results on '"Sanders, Stephan J"'

1. Rare coding variation provides insight into the genetic architecture and phenotypic context of autism

Author

Fu, Jack M, Satterstrom, F Kyle, Peng, Minshi, Brand, Harrison, Collins, Ryan L, Dong, Shan, Wamsley, Brie, Klei, Lambertus, Wang, Lily, Hao, Stephanie P, Stevens, Christine R, Cusick, Caroline, Babadi, Mehrtash, Banks, Eric, Collins, Brett, Dodge, Sheila, Gabriel, Stacey B, Gauthier, Laura, Lee, Samuel K, Liang, Lindsay, Ljungdahl, Alicia, Mahjani, Behrang, Sloofman, Laura, Smirnov, Andrey N, Barbosa, Mafalda, Betancur, Catalina, Brusco, Alfredo, Chung, Brian HY, Cook, Edwin H, Cuccaro, Michael L, Domenici, Enrico, Ferrero, Giovanni Battista, Gargus, J Jay, Herman, Gail E, Hertz-Picciotto, Irva, Maciel, Patricia, Manoach, Dara S, Passos-Bueno, Maria Rita, Persico, Antonio M, Renieri, Alessandra, Sutcliffe, James S, Tassone, Flora, Trabetti, Elisabetta, Campos, Gabriele, Cardaropoli, Simona, Carli, Diana, Chan, Marcus CY, Fallerini, Chiara, Giorgio, Elisa, Girardi, Ana Cristina, Hansen-Kiss, Emily, Lee, So Lun, Lintas, Carla, Ludena, Yunin, Nguyen, Rachel, Pavinato, Lisa, Pericak-Vance, Margaret, Pessah, Isaac N, Schmidt, Rebecca J, Smith, Moyra, Costa, Claudia IS, Trajkova, Slavica, Wang, Jaqueline YT, Yu, Mullin HC, Cutler, David J, De Rubeis, Silvia, Buxbaum, Joseph D, Daly, Mark J, Devlin, Bernie, Roeder, Kathryn, Sanders, Stephan J, and Talkowski, Michael E

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, Autism, Brain Disorders, Pediatric, Biotechnology, Intellectual and Developmental Disabilities (IDD), Human Genome, Mental Health, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Mental health, Autism Spectrum Disorder, Autistic Disorder, DNA Copy Number Variations, Genetic Predisposition to Disease, Humans, Mutation, Autism Sequencing Consortium, Broad Institute Center for Common Disease Genomics, iPSYCH-BROAD Consortium, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Some individuals with autism spectrum disorder (ASD) carry functional mutations rarely observed in the general population. We explored the genes disrupted by these variants from joint analysis of protein-truncating variants (PTVs), missense variants and copy number variants (CNVs) in a cohort of 63,237 individuals. We discovered 72 genes associated with ASD at false discovery rate (FDR) ≤ 0.001 (185 at FDR ≤ 0.05). De novo PTVs, damaging missense variants and CNVs represented 57.5%, 21.1% and 8.44% of association evidence, while CNVs conferred greatest relative risk. Meta-analysis with cohorts ascertained for developmental delay (DD) (n = 91,605) yielded 373 genes associated with ASD/DD at FDR ≤ 0.001 (664 at FDR ≤ 0.05), some of which differed in relative frequency of mutation between ASD and DD cohorts. The DD-associated genes were enriched in transcriptomes of progenitor and immature neuronal cells, whereas genes showing stronger evidence in ASD were more enriched in maturing neurons and overlapped with schizophrenia-associated genes, emphasizing that these neuropsychiatric disorders may share common pathways to risk.

Published
2022

2. An analytical framework for whole-genome sequence association studies and its implications for autism spectrum disorder

Author

Werling, Donna M, Brand, Harrison, An, Joon-Yong, Stone, Matthew R, Zhu, Lingxue, Glessner, Joseph T, Collins, Ryan L, Dong, Shan, Layer, Ryan M, Markenscoff-Papadimitriou, Eirene, Farrell, Andrew, Schwartz, Grace B, Wang, Harold Z, Currall, Benjamin B, Zhao, Xuefang, Dea, Jeanselle, Duhn, Clif, Erdman, Carolyn A, Gilson, Michael C, Yadav, Rachita, Handsaker, Robert E, Kashin, Seva, Klei, Lambertus, Mandell, Jeffrey D, Nowakowski, Tomasz J, Liu, Yuwen, Pochareddy, Sirisha, Smith, Louw, Walker, Michael F, Waterman, Matthew J, He, Xin, Kriegstein, Arnold R, Rubenstein, John L, Sestan, Nenad, McCarroll, Steven A, Neale, Benjamin M, Coon, Hilary, Willsey, A Jeremy, Buxbaum, Joseph D, Daly, Mark J, State, Matthew W, Quinlan, Aaron R, Marth, Gabor T, Roeder, Kathryn, Devlin, Bernie, Talkowski, Michael E, and Sanders, Stephan J

Subjects
Biological Sciences, Genetics, Intellectual and Developmental Disabilities (IDD), Brain Disorders, Pediatric, Autism, Biotechnology, Mental Health, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Autism Spectrum Disorder, Female, Genetic Predisposition to Disease, Genome, Genome-Wide Association Study, Humans, INDEL Mutation, Male, Polymorphism, Single Nucleotide, Protein Isoforms, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Genomic association studies of common or rare protein-coding variation have established robust statistical approaches to account for multiple testing. Here we present a comparable framework to evaluate rare and de novo noncoding single-nucleotide variants, insertion/deletions, and all classes of structural variation from whole-genome sequencing (WGS). Integrating genomic annotations at the level of nucleotides, genes, and regulatory regions, we define 51,801 annotation categories. Analyses of 519 autism spectrum disorder families did not identify association with any categories after correction for 4,123 effective tests. Without appropriate correction, biologically plausible associations are observed in both cases and controls. Despite excluding previously identified gene-disrupting mutations, coding regions still exhibited the strongest associations. Thus, in autism, the contribution of de novo noncoding variation is probably modest in comparison to that of de novo coding variants. Robust results from future WGS studies will require large cohorts and comprehensive analytical strategies that consider the substantial multiple-testing burden.

Published
2018

3. Contribution of rare inherited and de novo variants in 2,871 congenital heart disease probands

Author

Jin, Sheng Chih, Homsy, Jason, Zaidi, Samir, Lu, Qiongshi, Morton, Sarah, DePalma, Steven R, Zeng, Xue, Qi, Hongjian, Chang, Weni, Sierant, Michael C, Hung, Wei-Chien, Haider, Shozeb, Zhang, Junhui, Knight, James, Bjornson, Robert D, Castaldi, Christopher, Tikhonoa, Irina R, Bilguvar, Kaya, Mane, Shrikant M, Sanders, Stephan J, Mital, Seema, Russell, Mark W, Gaynor, J William, Deanfield, John, Giardini, Alessandro, Porter, George A, Srivastava, Deepak, Lo, Cecelia W, Shen, Yufeng, Watkins, W Scott, Yandell, Mark, Yost, H Joseph, Tristani-Firouzi, Martin, Newburger, Jane W, Roberts, Amy E, Kim, Richard, Zhao, Hongyu, Kaltman, Jonathan R, Goldmuntz, Elizabeth, Chung, Wendy K, Seidman, Jonathan G, Gelb, Bruce D, Seidman, Christine E, Lifton, Richard P, and Brueckner, Martina

Subjects
Biological Sciences, Genetics, Cardiovascular, Pediatric, Congenital Structural Anomalies, Brain Disorders, Heart Disease, Heart Disease - Coronary Heart Disease, 2.1 Biological and endogenous factors, Aetiology, Adult, Autistic Disorder, Cardiac Myosins, Case-Control Studies, Child, Exome, Female, Gene Expression, Genetic Predisposition to Disease, Genome-Wide Association Study, Growth Differentiation Factor 1, Heart Defects, Congenital, Heterozygote, High-Throughput Nucleotide Sequencing, Homozygote, Humans, Male, Mutation, Myosin Heavy Chains, Pedigree, Risk, Vascular Endothelial Growth Factor Receptor-3, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Congenital heart disease (CHD) is the leading cause of mortality from birth defects. Here, exome sequencing of a single cohort of 2,871 CHD probands, including 2,645 parent-offspring trios, implicated rare inherited mutations in 1.8%, including a recessive founder mutation in GDF1 accounting for ∼5% of severe CHD in Ashkenazim, recessive genotypes in MYH6 accounting for ∼11% of Shone complex, and dominant FLT4 mutations accounting for 2.3% of Tetralogy of Fallot. De novo mutations (DNMs) accounted for 8% of cases, including ∼3% of isolated CHD patients and ∼28% with both neurodevelopmental and extra-cardiac congenital anomalies. Seven genes surpassed thresholds for genome-wide significance, and 12 genes not previously implicated in CHD had >70% probability of being disease related. DNMs in ∼440 genes were inferred to contribute to CHD. Striking overlap between genes with damaging DNMs in probands with CHD and autism was also found.

Published
2017

4. Polygenic transmission disequilibrium confirms that common and rare variation act additively to create risk for autism spectrum disorders

Author

Weiner, Daniel J, Wigdor, Emilie M, Ripke, Stephan, Walters, Raymond K, Kosmicki, Jack A, Grove, Jakob, Samocha, Kaitlin E, Goldstein, Jacqueline I, Okbay, Aysu, Bybjerg-Grauholm, Jonas, Werge, Thomas, Hougaard, David M, Taylor, Jacob, Skuse, David, Devlin, Bernie, Anney, Richard, Sanders, Stephan J, Bishop, Somer, Mortensen, Preben Bo, Børglum, Anders D, Smith, George Davey, Daly, Mark J, and Robinson, Elise B

Subjects
Biological Sciences, Genetics, Autism, Brain Disorders, Prevention, Mental Health, Pediatric, Intellectual and Developmental Disabilities (IDD), 2.4 Surveillance and distribution, Aetiology, 2.1 Biological and endogenous factors, Mental health, Good Health and Well Being, Adult, Autism Spectrum Disorder, Child, Cohort Studies, Educational Status, Ethnicity, Family Health, Female, Genetic Association Studies, Genetic Predisposition to Disease, Genetic Variation, Genetics, Behavioral, Humans, Intellectual Disability, Intelligence, Male, Multifactorial Inheritance, Phenotype, Risk Factors, Schizophrenia, Sequence Deletion, iPSYCH-Broad Autism Group, Psychiatric Genomics Consortium Autism Group, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Autism spectrum disorder (ASD) risk is influenced by common polygenic and de novo variation. We aimed to clarify the influence of polygenic risk for ASD and to identify subgroups of ASD cases, including those with strongly acting de novo variants, in which polygenic risk is relevant. Using a novel approach called the polygenic transmission disequilibrium test and data from 6,454 families with a child with ASD, we show that polygenic risk for ASD, schizophrenia, and greater educational attainment is over-transmitted to children with ASD. These findings hold independent of proband IQ. We find that polygenic variation contributes additively to risk in ASD cases who carry a strongly acting de novo variant. Lastly, we show that elements of polygenic risk are independent and differ in their relationship with phenotype. These results confirm that the genetic influences on ASD are additive and suggest that they create risk through at least partially distinct etiologic pathways.

Published
2017

5. Refining the role of de novo protein-truncating variants in neurodevelopmental disorders by using population reference samples

Author

Kosmicki, Jack A, Samocha, Kaitlin E, Howrigan, Daniel P, Sanders, Stephan J, Slowikowski, Kamil, Lek, Monkol, Karczewski, Konrad J, Cutler, David J, Devlin, Bernie, Roeder, Kathryn, Buxbaum, Joseph D, Neale, Benjamin M, MacArthur, Daniel G, Wall, Dennis P, Robinson, Elise B, and Daly, Mark J

Subjects
Biological Sciences, Genetics, Brain Disorders, Neurosciences, Biotechnology, Intellectual and Developmental Disabilities (IDD), Aetiology, 2.1 Biological and endogenous factors, Autism Spectrum Disorder, Exome, Genetic Predisposition to Disease, Genetic Variation, Humans, Intellectual Disability, Neurodevelopmental Disorders, Phenotype, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Recent research has uncovered an important role for de novo variation in neurodevelopmental disorders. Using aggregated data from 9,246 families with autism spectrum disorder, intellectual disability, or developmental delay, we found that ∼1/3 of de novo variants are independently present as standing variation in the Exome Aggregation Consortium's cohort of 60,706 adults, and these de novo variants do not contribute to neurodevelopmental risk. We further used a loss-of-function (LoF)-intolerance metric, pLI, to identify a subset of LoF-intolerant genes containing the observed signal of associated de novo protein-truncating variants (PTVs) in neurodevelopmental disorders. LoF-intolerant genes also carry a modest excess of inherited PTVs, although the strongest de novo-affected genes contribute little to this excess, thus suggesting that the excess of inherited risk resides in lower-penetrant genes. These findings illustrate the importance of population-based reference cohorts for the interpretation of candidate pathogenic variants, even for analyses of complex diseases and de novo variation.

Published
2017

6. A framework for the interpretation of de novo mutation in human disease

Author

Samocha, Kaitlin E, Robinson, Elise B, Sanders, Stephan J, Stevens, Christine, Sabo, Aniko, McGrath, Lauren M, Kosmicki, Jack A, Rehnström, Karola, Mallick, Swapan, Kirby, Andrew, Wall, Dennis P, MacArthur, Daniel G, Gabriel, Stacey B, DePristo, Mark, Purcell, Shaun M, Palotie, Aarno, Boerwinkle, Eric, Buxbaum, Joseph D, Cook, Jr, Edwin H, Gibbs, Richard A, Schellenberg, Gerard D, Sutcliffe, James S, Devlin, Bernie, Roeder, Kathryn, Neale, Benjamin M, and Daly, Mark J

Published
2014
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7. Most genetic risk for autism resides with common variation

Author

Gaugler, Trent, primary, Klei, Lambertus, additional, Sanders, Stephan J, additional, Bodea, Corneliu A, additional, Goldberg, Arthur P, additional, Lee, Ann B, additional, Mahajan, Milind, additional, Manaa, Dina, additional, Pawitan, Yudi, additional, Reichert, Jennifer, additional, Ripke, Stephan, additional, Sandin, Sven, additional, Sklar, Pamela, additional, Svantesson, Oscar, additional, Reichenberg, Abraham, additional, Hultman, Christina M, additional, Devlin, Bernie, additional, Roeder, Kathryn, additional, and Buxbaum, Joseph D, additional

Published
2014
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8. Genetic risk for autism spectrum disorders and neuropsychiatric variation in the general population

Author

Robinson, Elise B, St Pourcain, Beate, Anttila, Verneri, Kosmicki, Jack A, Bulik-Sullivan, Brendan, Grove, Jakob, Maller, Julian, Samocha, Kaitlin E, Sanders, Stephan J, Ripke, Stephan, Martin, Joanna, Hollegaard, Mads V, Werge, Thomas, Hougaard, David M, Neale, Benjamin M, Evans, David M, Skuse, David, Mortensen, Preben Bo, Børglum, Anders D, Ronald, Angelica, Smith, George Davey, and Daly, Mark J

Abstract

Almost all genetic risk factors for autism spectrum disorders (ASDs) can be found in the general population, but the effects of this risk are unclear in people not ascertained for neuropsychiatric symptoms. Using several large ASD consortium and population-based resources (total n > 38,000), we find genome-wide genetic links between ASDs and typical variation in social behavior and adaptive functioning. This finding is evidenced through both LD score correlation and de novo variant analysis, indicating that multiple types of genetic risk for ASDs influence a continuum of behavioral and developmental traits, the severe tail of which can result in diagnosis with an ASD or other neuropsychiatric disorder. A continuum model should inform the design and interpretation of studies of neuropsychiatric disease biology.

Published
2016
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9. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs.

Author

Lee SH, Ripke S, Neale BM, Faraone SV, Purcell SM, Perlis RH, Mowry BJ, Thapar A, Goddard ME, Witte JS, Absher D, Agartz I, Akil H, Amin F, Andreassen OA, Anjorin A, Anney R, Anttila V, Arking DE, Asherson P, Azevedo MH, Backlund L, Badner JA, Bailey AJ, Banaschewski T, Barchas JD, Barnes MR, Barrett TB, Bass N, Battaglia A, Bauer M, Bayés M, Bellivier F, Bergen SE, Berrettini W, Betancur C, Bettecken T, Biederman J, Binder EB, Black DW, Blackwood DH, Bloss CS, Boehnke M, Boomsma DI, Breen G, Breuer R, Bruggeman R, Cormican P, Buccola NG, Buitelaar JK, Bunney WE, Buxbaum JD, Byerley WF, Byrne EM, Caesar S, Cahn W, Cantor RM, Casas M, Chakravarti A, Chambert K, Choudhury K, Cichon S, Cloninger CR, Collier DA, Cook EH, Coon H, Cormand B, Corvin A, Coryell WH, Craig DW, Craig IW, Crosbie J, Cuccaro ML, Curtis D, Czamara D, Datta S, Dawson G, Day R, De Geus EJ, Degenhardt F, Djurovic S, Donohoe GJ, Doyle AE, Duan J, Dudbridge F, Duketis E, Ebstein RP, Edenberg HJ, Elia J, Ennis S, Etain B, Fanous A, Farmer AE, Ferrier IN, Flickinger M, Fombonne E, Foroud T, Frank J, Franke B, Fraser C, Freedman R, Freimer NB, Freitag CM, Friedl M, Frisén L, Gallagher L, Gejman PV, Georgieva L, Gershon ES, Geschwind DH, Giegling I, Gill M, Gordon SD, Gordon-Smith K, Green EK, Greenwood TA, Grice DE, Gross M, Grozeva D, Guan W, Gurling H, De Haan L, Haines JL, Hakonarson H, Hallmayer J, Hamilton SP, Hamshere ML, Hansen TF, Hartmann AM, Hautzinger M, Heath AC, Henders AK, Herms S, Hickie IB, Hipolito M, Hoefels S, Holmans PA, Holsboer F, Hoogendijk WJ, Hottenga JJ, Hultman CM, Hus V, Ingason A, Ising M, Jamain S, Jones EG, Jones I, Jones L, Tzeng JY, Kähler AK, Kahn RS, Kandaswamy R, Keller MC, Kennedy JL, Kenny E, Kent L, Kim Y, Kirov GK, Klauck SM, Klei L, Knowles JA, Kohli MA, Koller DL, Konte B, Korszun A, Krabbendam L, Krasucki R, Kuntsi J, Kwan P, Landén M, Långström N, Lathrop M, Lawrence J, Lawson WB, Leboyer M, Ledbetter DH, Lee PH, Lencz T, Lesch KP, Levinson DF, Lewis CM, Li J, Lichtenstein P, Lieberman JA, Lin DY, Linszen DH, Liu C, Lohoff FW, Loo SK, Lord C, Lowe JK, Lucae S, MacIntyre DJ, Madden PA, Maestrini E, Magnusson PK, Mahon PB, Maier W, Malhotra AK, Mane SM, Martin CL, Martin NG, Mattheisen M, Matthews K, Mattingsdal M, McCarroll SA, McGhee KA, McGough JJ, McGrath PJ, McGuffin P, McInnis MG, McIntosh A, McKinney R, McLean AW, McMahon FJ, McMahon WM, McQuillin A, Medeiros H, Medland SE, Meier S, Melle I, Meng F, Meyer J, Middeldorp CM, Middleton L, Milanova V, Miranda A, Monaco AP, Montgomery GW, Moran JL, Moreno-De-Luca D, Morken G, Morris DW, Morrow EM, Moskvina V, Muglia P, Mühleisen TW, Muir WJ, Müller-Myhsok B, Murtha M, Myers RM, Myin-Germeys I, Neale MC, Nelson SF, Nievergelt CM, Nikolov I, Nimgaonkar V, Nolen WA, Nöthen MM, Nurnberger JI, Nwulia EA, Nyholt DR, O'Dushlaine C, Oades RD, Olincy A, Oliveira G, Olsen L, Ophoff RA, Osby U, Owen MJ, Palotie A, Parr JR, Paterson AD, Pato CN, Pato MT, Penninx BW, Pergadia ML, Pericak-Vance MA, Pickard BS, Pimm J, Piven J, Posthuma D, Potash JB, Poustka F, Propping P, Puri V, Quested DJ, Quinn EM, Ramos-Quiroga JA, Rasmussen HB, Raychaudhuri S, Rehnström K, Reif A, Ribasés M, Rice JP, Rietschel M, Roeder K, Roeyers H, Rossin L, Rothenberger A, Rouleau G, Ruderfer D, Rujescu D, Sanders AR, Sanders SJ, Santangelo SL, Sergeant JA, Schachar R, Schalling M, Schatzberg AF, Scheftner WA, Schellenberg GD, Scherer SW, Schork NJ, Schulze TG, Schumacher J, Schwarz M, Scolnick E, Scott LJ, Shi J, Shilling PD, Shyn SI, Silverman JM, Slager SL, Smalley SL, Smit JH, Smith EN, Sonuga-Barke EJ, St Clair D, State M, Steffens M, Steinhausen HC, Strauss JS, Strohmaier J, Stroup TS, Sutcliffe JS, Szatmari P, Szelinger S, Thirumalai S, Thompson RC, Todorov AA, Tozzi F, Treutlein J, Uhr M, van den Oord EJ, Van Grootheest G, Van Os J, Vicente AM, Vieland VJ, Vincent JB, Visscher PM, Walsh CA, Wassink TH, Watson SJ, Weissman MM, Werge T, Wienker TF, Wijsman EM, Willemsen G, Williams N, Willsey AJ, Witt SH, Xu W, Young AH, Yu TW, Zammit S, Zandi PP, Zhang P, Zitman FG, Zöllner S, Devlin B, Kelsoe JR, Sklar P, Daly MJ, O'Donovan MC, Craddock N, Sullivan PF, Smoller JW, Kendler KS, and Wray NR

Subjects
Adult, Attention Deficit Disorder with Hyperactivity genetics, Bipolar Disorder genetics, Child, Child Development Disorders, Pervasive genetics, Crohn Disease genetics, Depressive Disorder, Major genetics, Genetic Heterogeneity, Genome, Human, Humans, Inheritance Patterns, Schizophrenia genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Mental Disorders genetics, Polymorphism, Single Nucleotide
Abstract

Most psychiatric disorders are moderately to highly heritable. The degree to which genetic variation is unique to individual disorders or shared across disorders is unclear. To examine shared genetic etiology, we use genome-wide genotype data from the Psychiatric Genomics Consortium (PGC) for cases and controls in schizophrenia, bipolar disorder, major depressive disorder, autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). We apply univariate and bivariate methods for the estimation of genetic variation within and covariation between disorders. SNPs explained 17-29% of the variance in liability. The genetic correlation calculated using common SNPs was high between schizophrenia and bipolar disorder (0.68 ± 0.04 s.e.), moderate between schizophrenia and major depressive disorder (0.43 ± 0.06 s.e.), bipolar disorder and major depressive disorder (0.47 ± 0.06 s.e.), and ADHD and major depressive disorder (0.32 ± 0.07 s.e.), low between schizophrenia and ASD (0.16 ± 0.06 s.e.) and non-significant for other pairs of disorders as well as between psychiatric disorders and the negative control of Crohn's disease. This empirical evidence of shared genetic etiology for psychiatric disorders can inform nosology and encourages the investigation of common pathophysiologies for related disorders.

Published
2013
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