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      Genetically instrumented LDL‐cholesterol lowering and multiple disease outcomes: A Mendelian randomization phenome‐wide association study in the UK Biobank

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          Abstract

          <div xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="section"> <a class="named-anchor" id="bcp15793-sec-0001"> <!-- named anchor --> </a> <h5 class="section-title" id="d5424635e279">Aims</h5> <p dir="auto" id="d5424635e281">Lipid‐lowering medications are widely used to control blood cholesterol levels and manage a range of cardiovascular and lipid disorders. We aimed to explore the possible associations between LDL lowering and multiple disease outcomes or biomarkers. </p> </div><div xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="section"> <a class="named-anchor" id="bcp15793-sec-0002"> <!-- named anchor --> </a> <h5 class="section-title" id="d5424635e284">Methods</h5> <p dir="auto" id="d5424635e286">We performed a Mendelian randomization phenome‐wide association study (MR‐PheWAS) in 337 475 UK Biobank participants to test for associations between four proposed LDL‐C‐lowering genetic risk scores ( <i>PCSK9</i>, <i>HMGCR</i>, <i>NPC1L1</i> and <i>LDLR</i>) and 1135 disease outcomes, with follow‐up MR analyses in 52 serum, urine, imaging and clinical biomarkers. We used inverse‐variance weighted MR in the main analyses and complementary MR methods (weighted median, weighted mode, MR‐Egger and MR‐PRESSO) as sensitivity analyses. We accounted for multiple testing with false discovery rate correction ( <i>P</i> &lt; 2.0 × 10 <sup>−4</sup> for phecodes, <i>P</i> &lt; 1.3 × 10 <sup>−2</sup> for biomarkers). </p> </div><div xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="section"> <a class="named-anchor" id="bcp15793-sec-0003"> <!-- named anchor --> </a> <h5 class="section-title" id="d5424635e314">Results</h5> <p dir="auto" id="d5424635e316">We found evidence for an association between genetically instrumented LDL lowering and 10 distinct disease outcomes, suggesting potential causality. All genetic instruments were associated with hyperlipidaemias and cardiovascular diseases in the expected directions. Biomarker analyses supported an effect of LDL‐C lowering through <i>PCSK9</i> on lung function (FEV [beta per 1 mg/dL lower LDL‐C −1.49, 95% CI −2.21, −0.78]; FVC [−1.42, 95% CI −2.29, −0.54]) and through <i>HMGCR</i> on hippocampal volume (beta per 1 mg/dL lower LDL‐C 6.09, 95% CI 1.74, 10.44). </p> </div><div xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="section"> <a class="named-anchor" id="bcp15793-sec-0004"> <!-- named anchor --> </a> <h5 class="section-title" id="d5424635e325">Conclusions</h5> <p dir="auto" id="d5424635e327">We found genetic evidence to support both positive and negative effects of LDL‐C lowering through all four LDL‐C‐lowering pathways. Future studies should further explore the effects of LDL‐C lowering on lung function and changes in brain volume. </p> </div>

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age

            Cathie Sudlow and colleagues describe the UK Biobank, a large population-based prospective study, established to allow investigation of the genetic and non-genetic determinants of the diseases of middle and old age.
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              Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Population

              Abstract The UK Biobank cohort is a population-based cohort of 500,000 participants recruited in the United Kingdom (UK) between 2006 and 2010. Approximately 9.2 million individuals aged 40–69 years who lived within 25 miles (40 km) of one of 22 assessment centers in England, Wales, and Scotland were invited to enter the cohort, and 5.5% participated in the baseline assessment. The representativeness of the UK Biobank cohort was investigated by comparing demographic characteristics between nonresponders and responders. Sociodemographic, physical, lifestyle, and health-related characteristics of the cohort were compared with nationally representative data sources. UK Biobank participants were more likely to be older, to be female, and to live in less socioeconomically deprived areas than nonparticipants. Compared with the general population, participants were less likely to be obese, to smoke, and to drink alcohol on a daily basis and had fewer self-reported health conditions. At age 70–74 years, rates of all-cause mortality and total cancer incidence were 46.2% and 11.8% lower, respectively, in men and 55.5% and 18.1% lower, respectively, in women than in the general population of the same age. UK Biobank is not representative of the sampling population; there is evidence of a “healthy volunteer” selection bias. Nonetheless, valid assessment of exposure-disease relationships may be widely generalizable and does not require participants to be representative of the population at large.
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                Author and article information

                Contributors
                Journal
                British Journal of Clinical Pharmacology
                Brit J Clinical Pharma
                Wiley
                0306-5251
                1365-2125
                June 06 2023
                Affiliations
                [1 ] Australian Centre for Precision Health, Clinical &amp; Health Sciences University of South Australia Adelaide South Australia Australia
                [2 ] South Australian Health and Medical Research Institute Adelaide South Australia Australia
                [3 ] Department of Pharmacology and Clinical Pharmacy, College of Health Sciences Addis Ababa University Addis Ababa Ethiopia
                Article
                10.1111/bcp.15793
                077839a9-8539-4693-a6ff-d4aab940f592
                © 2023

                http://creativecommons.org/licenses/by/4.0/

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