Sateesh Maddirevula

Dr. Sateesh Maddirevula

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 May 2022 in Genetics in Medicine
Verified
Journal Article
Open access
MDMarina T. DiStefano
Marina T. DiStefano
SGScott Goehringer
Scott Goehringer
LBLawrence Babb
Lawrence Babb
FAFowzan S. Alkuraya
Fowzan S. Alkuraya
JAJoanna Amberger
Joanna Amberger
HHeidi Rehm
Heidi Rehm
Several groups and resources provide information that pertains to the validity of gene-disease relationships used in genomic medicine and research; however, universal standards and terminologies to define the evidence base for the role of a gene in disease, and a single harmonized resource were lacking. To tackle this issue, the Gene Curation Coalition (GenCC) was formed. The GenCC drafted harmonized definitions for differing levels of gene-disease validity based on existing resources, and performed a modified Delphi survey with three rounds to narrow the list of terms. The GenCC also developed a unified database to display curated gene-disease validity assertions from its members. Based on 241 survey responses from the genetics community, a consensus term set was chosen for grading gene-disease validity and database submissions. As of December 2021, the database contains 15,241 gene-disease assertions on 4,569 unique genes from 12 submitters. When comparing submissions to the database from distinct sources, conflicts in assertions of gene-disease validity ranged from 5.3% to 13.4%. Terminology standardization, sharing of gene-disease validity classifications, and resolution of curation conflicts will facilitate collaborations across international curation efforts and in turn, improve consistency in genetic testing and variant interpretation.

22 September 2017 in Human Genetics
Verified
Journal Article
Closed access
PDF file
SAShams Anazi
Shams Anazi
SMSateesh Maddirevula
Sateesh Maddirevula
VSVincenzo Salpietro
Vincenzo Salpietro
YAYasmine T. Asi
Yasmine T. Asi
SASaud Alsahli
Saud Alsahli
FAFowzan S. Alkuraya
Fowzan S. Alkuraya

14 September 2018 in Genetics in Medicine
Verified
Journal Article
Closed access
PDF file
RSRanad Shaheen
Ranad Shaheen
SMSateesh Maddirevula
Sateesh Maddirevula
NENour Ewida
Nour Ewida
SASaud Alsahli
Saud Alsahli
GAGhada M. H. Abdel-Salam
Ghada M. H. Abdel-Salam
FAFowzan S. Alkuraya
Fowzan S. Alkuraya

21 September 2018 in Genetics in Medicine
Verified
Journal Article
Open access
PDF file
SMSateesh Maddirevula
Sateesh Maddirevula
FAFatema Alzahrani
Fatema Alzahrani
MAMohammed Al-Owain
Mohammed Al-Owain
MMMohammad A. Al Muhaizea
Mohammad A. Al Muhaizea
HKHusam R. Kayyali
Husam R. Kayyali
FAFowzan S. Alkuraya
Fowzan S. Alkuraya
Purpose Establishing links between Mendelian phenotypes and genes enables the proper interpretation of variants therein. Autozygome, a rich source of homozygous variants, has been successfully utilized for the high throughput identification of novel autosomal recessive disease genes. Here, we highlight the utility of the autozygome for the high throughput confirmation of previously published tentative links to diseases. Methods Autozygome and exome analysis of patients with suspected Mendelian phenotypes. All variants were classified according to the American College of Medical Genetics and Genomics guidelines. Results We highlight 30 published candidate genes (ACTL6B, ADAM22, AGTPBP1, APC, C12orf4, C3orf17 (NEPRO), CENPF, CNPY3, COL27A1, DMBX1, FUT8, GOLGA2, KIAA0556, LENG8, MCIDAS, MTMR9, MYH11, QRSL1, RUBCN, SLC25A42, SLC9A1, TBXT, TFG, THUMPD1, TRAF3IP2, UFC1, UFM1, WDR81, XRCC2, ZAK) in which we identified homozygous likely deleterious variants in patients with compatible phenotypes. We also identified homozygous likely deleterious variants in 18 published candidate genes (ABCA2, ARL6IP1, ATP8A2, CDK9, CNKSR1, DGAT1, DMXL2, GEMIN4, HCN2, HCRT, MYO9A, PARS2, PLOD3, PREPL, SCLT1, STX3, TXNRD2, WIPI2) although the associated phenotypes are sufficiently different from the original reports that they represent phenotypic expansion or potentially distinct allelic disorders. Conclusions Our results should facilitate the timely relabeling of these candidate disease genes in relevant databases to improve the yield of clinical genomic sequencing.

1 May 2019 in Genetics in Medicine
Verified
Journal Article
Closed access
PDF file
SMSateesh Maddirevula
Sateesh Maddirevula
HAHamoud Alhebbi
Hamoud Alhebbi
AAAwad Alqahtani
Awad Alqahtani
TATalal Algoufi
Talal Algoufi
HAHessa S. Alsaif
Hessa S. Alsaif
FAFowzan S. Alkuraya
Fowzan S. Alkuraya

28 July 2020 in Genetics in Medicine
Verified
Journal Article
Closed access
PDF file
NANaif Alhathal
Naif Alhathal
SMSateesh Maddirevula
Sateesh Maddirevula
SCSerdar Coskun
Serdar Coskun
HAHamed Alali
Hamed Alali
MAMirna Assoum
Mirna Assoum
FAFowzan S. Alkuraya
Fowzan S. Alkuraya