Matera et al., “Variants of the ACTG2 gene correlate with degree of severity and presence of megacystis in chronic intestinal pseudo-obstruction” ONLINE SUPPLEMENTARY INFORMATION Study subjects and clinical evaluation To date, our cohort of CIPO patients includes 30 sporadic patients and three families. Among familial cases, we observed evidence of autosomal dominant inheritance in one family (F1), affected by severe constipation and recurrent episodes of intestinal obstruction with a histopathological diagnosis of Intestinal neuronal dysplasia type B (INDB)1, and autosomal recessive inheritance in two families, one with evidence of INDB (F2) and another one diagnosed with familial visceral myopathy (FVM) (F3). In particular, F1 is a 2-generation family with mother and three children, all affected. They had an histological evaluation which showed a localized recto-colonic INDB phenotype. Family F2 presents with 2 affected children showing an histological evaluation of INDB phenotype. In family F3, three out of four children showed a progressive intestinal pseudo-obstruction. All the patients had an histological evaluation of visceral myopathy with intact myenteric and submucosal plexuses. The parents of these latter two families (F2 and F3) were healthy and non consanguineous. Sporadic patients had either neonatal/infantile (27 probands) or adult (3 probands) onset and were diagnosed with pseudo-obstruction (19 probands), pseudo-obstruction with megacystis (5 probands), MMIHS (4 probands), or congenital short bowel syndrome (CSBS) (2 probands). At histopathology most patients showed the presence of giant ganglia, an INDB hallmark1. Moreover, two patients showed a histological diagnosis of myopathy, with glycogen vacuoles in one and associated aplastic desmosis in the other. Study recruitment lasted for a period of 20 years. Patient study, approved by the Ethical Committee of the Gaslini Institute, was conducted with written informed consent collected either at the time of enrolment or, whenever possible, after tracing back the least recent patients and families. Whole Exome Sequencing (WES) and data analysis Whole Exome Sequencing (WES) was applied to a first set of CIPO patients diagnosed with INDB, including eight sporadic cases and one proband from each of two families (F1 and F2). DNA samples were sequenced at the Beijing Genomics Institute (BGI), and successive data analyses, shared between the Children’s Hospital of Philadelphia (CHOP) and Gaslini Institute, were performed. Raw data were mapped and aligned to the GRCh37 (hg19) human genome reference assembly using the Burrows-Wheeler Aligner (BWA)2. TheSAM (Sequence Alignment Map) files thus obtained were converted to the BAM (binary version of SAM) format and sorted by SAMtools3. Duplicates were marked and removed by Picard tools (https://broadinstitute.github.io/picard/) and the coverage of the samples calculated. Local realignment around known indels and base quality score recalibration were performed by the 2.5 version of the Genome Analysis ToolKit (GATK)4 using different options including Realigner Target Creator, Indel Realigner and Base Recalibrator on the sorted BAM files. Variant calling was performed by the Unified Genotyper tool of GATK. The annotation of all the variants was performed by using SnpEffect5. Softwares for functional prediction (eg. Sift and Polyphen) and conservation degree (eg. GERP) were interrogated. Global Minor Allele Frequencies (GMAF) were also considered in order to distinguish between rare (<1%), uncommon (1-5%) and common (>5%) variants, as already suggested6. Sanger sequencing In order to confirm variants found at the ACTG2 locus, DNA amplification followed by Sanger sequencing was carried out. Primers for the coding exons of ACTG2 were also designed to screen 22 additional sporadic CIPO patients and one affected member of an additional family (Table S1). Immunoistochemistry Tissue specimens, available from one sporadic proband, included formalin-fixed paraffinembedded blocks. Slices of 3-4 μm were stained by hematoxylin and eosin (H&E), Gomori's trichrome stain, Gomori’s method for reticular fibers, the picrosirius red (4 μm) and periodic acid-Schiff (PAS) techniques (without and with α-amylase digestion). Immunohistochemical (IHC) staining was performed with the following antibodies: calretinin (mouse monoclonal antibody, clone 5A5, Ready To Use, Leica), microtubule-associated protein-2 (MAP-2) (mouse monoclonal antibody, clone AD-20, RTU, Thermo Scientific), S100 protein (mouse monoclonal antibody, clone S1-61-69, dilution 1:20, Leica) for ganglion cells and nerves; desmin (mouse monoclonal antibody, clone DDE-R-11, dilution 1:100, Leica), muscle specific actin (mouse monoclonal antibody, clone HHF35, dilution 1:200, Leica), smooth muscle actin (SMA) (mouse monoclonal antibody, clone αsm-1, dilution 1:50, Leica) for the muscle cells. All the IHC staining were performed using the Leica BOND-III automated immunohistochemical stainer according to the manufacturer’s guidelines. Bibliography 1. Knowles CH, De Giorgio R, Kapur RP et al. The London Classification of gastrointestinal neuromuscular pathology: report on behalf of the Gastro 2009 International Working Group. Gut 2010;59:882-7. 2. Li H, Durbin R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 2009;25:1754-60. 3. Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R; 1000 Genome Project Data Processing Subgroup. The Sequence alignment/map (SAM) format and SAMtools. Bioinformatics 2009;25:2078-9. 4. McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, Garimella K, Altshuler D, Gabriel S, Daly M, DePristo MA. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res 2010;20:1297-303. 5. Cingolani P, Platts A, Wang le L, Coon M, Nguyen T, Wang L, Land SJ, Lu X, Ruden DM. A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly (Austin) 2012;6:80-92. 6. Koboldt DC, Larson DE, Sullivan LS, Bowne SJ, Steinberg KM, Churchill JD, Buhr AC, Nutter N, Pierce EA, Blanton SH, Weinstock GM, Wilson RK, et al. Exome-Based Mapping and Variant Prioritization for Inherited Mendelian Disorders. Am J Hum Genet 2014;94:373–84. Table S1 Primers for molecular analysis of the coding exons of the ACTG2 gene Name ACTG2_F_ex2 ACTG2_R_ex2 ACTG2_F_ex3 ACTG2_R_ex3 ACTG2_F_ex4 ACTG2_R_ex4 ACTG2_F_ex5 ACTG2_R_ex5 ACTG2_F_ex6 ACTG2_R_ex6 ACTG2_F_ex7 ACTG2_R_ex7 ACTG2_F_ex8 ACTG2_R_ex8 ACTG2_F_ex9 ACTG2_R_ex9 ACTG2_F_ex4alta ACTG2_R_ex4alta Sequence: (5' to 3') CCCAAAGCCAAGAAACTGTC AAAGGGTCCTGCTCTATCAGTT AGGCCACCACACAAGAAATC AGGTTGGAGAAATGGTCGTG GGCCCTGTTGAGAAGGAGTA GGCAGGAACTATGCCAGTTT GCTATGTCTGTGGTCCATGC CACATGGGCATTCTCACCTA GATGATTCTTGTGATGGGTGAA GAGGGACTGCTTCCATGACT GGAGGTTTTCATGGAGATCAA GCCATGACTCCTGGTGTTTC TGACAAGGAAGGGGGTATGA GGATAAAATTGGCTCCAGTCC CCATGGAAGGAATAAGGGAAG CAGCACTATTGCATGGATTAAAA TAGGCCACTGTGCTCTGTCA TGAGCACTGGCCTGAGTAAA Amplicon size (bp) 480 498 483 400 485 365 483 500 366 Primers were designated on the ACTG2 RefSeqGene (NG_034140.1), based on transcript NM_001615.3, unless otherwise indicated a Transcript Uc010fey.3