Menu
Currency
Research Publication

Exome sequencing and analysis of 44,028 British South Asians enriched for high autozygosity.

Kim Hye In, HI DeBoever, Christopher C et al.

41896352 PubMed ID
78 Authors
2026-03-27 Published
514 Views
Scroll to explore
Chapter I

Publication Details

Comprehensive information about this research publication

Authors

KH
Kim Hye In
HD
HI DeBoever
CC
Christopher C
WK
Walter Klaudia
KK
K Kalantzis
GG
Georgios G
LC
Li Chen
CM
C Mozaffari
SV
Sahar V SV
KK
Kundu Kousik
KJ
K Jacobs
BM
Benjamin M BM
MP
Mohammadi-Shemirani Pedrum
PM
P Musolf
AM
Anthony M AM
DJ
Davitte Jonathan M
JA
JM Aksit
MA
Melis A MA
GJ
Gafton Joseph
JC
J Catalano
KA
Katrina A KA
DA
Dawed Adem Y
AG
AY Graham
RR
Robert R RR
GB
Guo Bin
BG
B Gupta
NN
Namrata N
HT
Heng Teng Hiang
TH
TH Hunt
KA
Karen A KA
IV
Iyer Vivek
VL
V Langenberg
CC
Claudia C
LF
Lassen Frederik H
FM
FH MacArthur
DG
Daniel G DG
ME
Maher Eamonn R
EM
ER Maroteau
CC
Cyrielle C
NW
Newman William G
WO
WG O'Rahilly
SS
Stephen S
PD
Palmer Duncan S
DP
DS Popov
II
Iaroslav I
SM
Siddiqui Moneeza K
MS
MK Simpson
MA
Michael A MA
SM
Spreckley Marie
MW
M Wright
JJ
John J
DA
Del Angel Guillermo
GP
G Petrovski
SS
Slavé S
HE
Holzinger Emily R
EM
ER Maranville
JC
Joseph C JC
AL
Addis Laura
LT
L Turner
RM
Richard M RM
EK
Estrada Karol
KL
K Longerich
SS
Simone S
HJ
Howson Joanna M M
JJ
JMM Jamshidi
YY
Yalda Y
FE
Fauman Eric B
EM
EB Miller
MR
Melissa R MR
DD
Diogo Dorothée
DT
D Trembath
RC
Richard C RC
FS
Finer Sarah
SM
S Martin
HC
Hilary C HC
VH
van Heel David A
DV
DA van Heel
DA
David A DA
Chapter II

Abstract

Summary of the research findings

Genes & Health (G&H) is a biomedical study of adult British Pakistani and Bangladeshi research volunteers enriched for autozygosity. Here we performed whole-exome sequencing in 44,028 G&H participants, establishing a large publicly available South Asian exome resource linked to longitudinal electronic health records. We performed exome-wide association analyses for 645 electronic health record-derived traits under additive and recessive models, and meta-analyses of 33 cardiometabolic traits with UK Biobank, finding more than 100 novel gene-phenotype associations. We identified 2,991 genes with rare biallelic predicted loss-of-function ('knockout') genotypes, 546 of which had not been previously reported. We show that drugs targeting genes with knockouts in adults are associated with a 2.2-fold higher likelihood of progressing beyond phase 1 clinical trials. We further illustrate how phenotypic profiles associated with knockout genotypes can enhance efficacy and safety assessment of drug targets and aid in the interpretation of variants with ambiguous clinical significance in autosomal recessive disease genes.

Chapter III

AI-Generated Summary

AI-generated by DNAGENICS

Independent AI summary of ancestry and genetic findings from the published study

Important: This summary is AI-generated by DNAGENICS for informational purposes only. It was not created by, affiliated with, or endorsed by the researchers behind the original publication, and is based solely on that published research. It may contain errors or omissions. DNAGENICS disclaims all liability for any inaccuracies or consequences arising from use of this information. Verify all information against the original publication. This is not professional scientific review or medical advice.

Summary

Key Findings

Ancestry Insights

Traits Analysis

Historical Context