2021
DOI: 10.1016/j.gene.2020.145229
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Whole exome sequencing identifies the novel putative gene variants related with type 2 diabetes in Mizo population, northeast India

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Cited by 5 publications
(4 citation statements)
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“…The strong and arguably misguided assumption that most genomic analyses make about the correctness of the reference genome has led to spurious clinical findings and mistaken disease associations. For example, a few previous clinical exome studies have erroneously implicated PSVs of missing paralogs of GRCh38 collapsed duplications, such as KCNJ18 and GPRIN2 , as contributing to diseases [5962]. Here, we resolve variation in these regions and show that the T2T-CHM13 reference genome universally improves genomic analyses for all populations by correcting major structural defects and adding sequences that were absent from GRCh38.…”
Section: Discussionmentioning
confidence: 81%
“…The strong and arguably misguided assumption that most genomic analyses make about the correctness of the reference genome has led to spurious clinical findings and mistaken disease associations. For example, a few previous clinical exome studies have erroneously implicated PSVs of missing paralogs of GRCh38 collapsed duplications, such as KCNJ18 and GPRIN2 , as contributing to diseases [5962]. Here, we resolve variation in these regions and show that the T2T-CHM13 reference genome universally improves genomic analyses for all populations by correcting major structural defects and adding sequences that were absent from GRCh38.…”
Section: Discussionmentioning
confidence: 81%
“…YTHDC2 was found to be markedly downregulated in obese mice and its overexpression improved the liver steatosis and insulin resistance through binding to the mRNA of lipogenic genes (Zhou et al 2020). In addition, the whole exome sequencing has identified a variant of YTHDC2 which may contribute to type 2 diabetes susceptibility in Northeast India (Lalrohlui et al 2020). Until now, the expression and roles of m6A methylation regulatory factors mentioned above in DN are unknown.…”
Section: Discussionmentioning
confidence: 99%
“…Notable examples encompass APC, AKT1 , and CDH1 in Gastric Cancer, KRT18, CYP4A11, SLC4A3, SLC26A5, KCNS1, ABCD1, YTHDC2, PINX1, TNRC6A, TACO1, LAMA1, ACP7 and ACP7 in Type 2 Diabetes, as well as MT-ND2, MT-ND6, NOTCH1 and FLT3 in Pediatric Leukaemia patients from Mizoram. 20 , 21 , 22 , 23 , 24 , 25 These genetic deviations may owe their existence to the distinctive attributes of the population, potentially serving as pivotal research entry points for exploring potential predisposition mechanisms. As an illustration, the DPYD gene encodes DPD, a determinant governing the bioavailability of 5-Fluorouracil, thus determining treatment efficacy and toxicity for solid tumour patients.…”
Section: Discussionmentioning
confidence: 99%