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Mutation-specific pathophysiological mechanisms define different neurodevelopmental disorders associated with SATB1 dysfunction.


ABSTRACT: Whereas large-scale statistical analyses can robustly identify disease-gene relationships, they do not accurately capture genotype-phenotype correlations or disease mechanisms. We use multiple lines of independent evidence to show that different variant types in a single gene, SATB1, cause clinically overlapping but distinct neurodevelopmental disorders. Clinical evaluation of 42 individuals carrying SATB1 variants identified overt genotype-phenotype relationships, associated with different pathophysiological mechanisms, established by functional assays. Missense variants in the CUT1 and CUT2 DNA-binding domains result in stronger chromatin binding, increased transcriptional repression, and a severe phenotype. In contrast, variants predicted to result in haploinsufficiency are associated with a milder clinical presentation. A similarly mild phenotype is observed for individuals with premature protein truncating variants that escape nonsense-mediated decay, which are transcriptionally active but mislocalized in the cell. Our results suggest that in-depth mutation-specific genotype-phenotype studies are essential to capture full disease complexity and to explain phenotypic variability.

SUBMITTER: den Hoed J 

PROVIDER: S-EPMC7895900 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Mutation-specific pathophysiological mechanisms define different neurodevelopmental disorders associated with SATB1 dysfunction.

den Hoed Joery J   de Boer Elke E   Voisin Norine N   Dingemans Alexander J M AJM   Guex Nicolas N   Wiel Laurens L   Nellaker Christoffer C   Amudhavalli Shivarajan M SM   Banka Siddharth S   Bena Frederique S FS   Ben-Zeev Bruria B   Bonagura Vincent R VR   Bruel Ange-Line AL   Brunet Theresa T   Brunner Han G HG   Chew Hui B HB   Chrast Jacqueline J   Cimbalistienė Loreta L   Coon Hilary H   Délot Emmanuèlle C EC   Démurger Florence F   Denommé-Pichon Anne-Sophie AS   Depienne Christel C   Donnai Dian D   Dyment David A DA   Elpeleg Orly O   Faivre Laurence L   Gilissen Christian C   Granger Leslie L   Haber Benjamin B   Hachiya Yasuo Y   Abedi Yasmin Hamzavi YH   Hanebeck Jennifer J   Hehir-Kwa Jayne Y JY   Horist Brooke B   Itai Toshiyuki T   Jackson Adam A   Jewell Rosalyn R   Jones Kelly L KL   Joss Shelagh S   Kashii Hirofumi H   Kato Mitsuhiro M   Kattentidt-Mouravieva Anja A AA   Kok Fernando F   Kotzaeridou Urania U   Krishnamurthy Vidya V   Kučinskas Vaidutis V   Kuechler Alma A   Lavillaureix Alinoë A   Liu Pengfei P   Manwaring Linda L   Matsumoto Naomichi N   Mazel Benoît B   McWalter Kirsty K   Meiner Vardiella V   Mikati Mohamad A MA   Miyatake Satoko S   Mizuguchi Takeshi T   Moey Lip H LH   Mohammed Shehla S   Mor-Shaked Hagar H   Mountford Hayley H   Newbury-Ecob Ruth R   Odent Sylvie S   Orec Laura L   Osmond Matthew M   Palculict Timothy B TB   Parker Michael M   Petersen Andrea K AK   Pfundt Rolph R   Preikšaitienė Eglė E   Radtke Kelly K   Ranza Emmanuelle E   Rosenfeld Jill A JA   Santiago-Sim Teresa T   Schwager Caitlin C   Sinnema Margje M   Snijders Blok Lot L   Spillmann Rebecca C RC   Stegmann Alexander P A APA   Thiffault Isabelle I   Tran Linh L   Vaknin-Dembinsky Adi A   Vedovato-Dos-Santos Juliana H JH   Schrier Vergano Samantha A SA   Vilain Eric E   Vitobello Antonio A   Wagner Matias M   Waheeb Androu A   Willing Marcia M   Zuccarelli Britton B   Kini Usha U   Newbury Dianne F DF   Kleefstra Tjitske T   Reymond Alexandre A   Fisher Simon E SE   Vissers Lisenka E L M LELM  

American journal of human genetics 20210128 2


Whereas large-scale statistical analyses can robustly identify disease-gene relationships, they do not accurately capture genotype-phenotype correlations or disease mechanisms. We use multiple lines of independent evidence to show that different variant types in a single gene, SATB1, cause clinically overlapping but distinct neurodevelopmental disorders. Clinical evaluation of 42 individuals carrying SATB1 variants identified overt genotype-phenotype relationships, associated with different path  ...[more]

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